PatrickHaller/the-stack-python-100k · Datasets at Hugging Face

6b35e9df8dffac5726297f21906b18f189845d37

298

py

Python

automation/tincrepo/main/pxf/features/hdfs/readable/text/encoding/runTest.py

lchx1010/pxf

f6e11f91fb8c01ed27fc829beb3800f3b253c209

[ "Apache-2.0" ]

46

2018-10-22T23:34:03.000Z

2022-03-31T09:31:34.000Z

automation/tincrepo/main/pxf/features/hdfs/readable/text/encoding/runTest.py

lchx1010/pxf

f6e11f91fb8c01ed27fc829beb3800f3b253c209

[ "Apache-2.0" ]

317

2018-10-05T23:51:48.000Z

2022-03-22T17:38:52.000Z

automation/tincrepo/main/pxf/features/hdfs/readable/text/encoding/runTest.py

lchx1010/pxf

f6e11f91fb8c01ed27fc829beb3800f3b253c209

[ "Apache-2.0" ]

46

2018-10-10T18:55:00.000Z

2022-03-28T07:27:04.000Z

from mpp.models import SQLTestCase from mpp.models import SQLConcurrencyTestCase class PxfHdfsReadSmallDataDifferentEncoding(SQLConcurrencyTestCase): """ @db_name pxfautomation @concurrency 1 @gpdiff True """ sql_dir = 'sql' ans_dir = 'expected' out_dir = 'output'

22.923077

68

0.721477

26017e793f9418a7b8a1a11eabfeaf3ebe3d6463

34

py

Python

python/pyfunc-scaffolding/{{cookiecutter.model_slug}}/src/constant.py

ashwinath/merlin

087a7fa6fb21e4c771d64418bd58873175226ca1

[ "Apache-2.0" ]

97

2020-10-15T08:03:56.000Z

2022-03-31T22:30:59.000Z

python/pyfunc-scaffolding/{{cookiecutter.model_slug}}/src/constant.py

ibnummuhammad/merlin

acf10a350bcacfdfe67f7020d535467b71ff1d89

[ "Apache-2.0" ]

91

2020-10-26T03:15:27.000Z

2022-03-31T10:19:55.000Z

python/pyfunc-scaffolding/{{cookiecutter.model_slug}}/src/constant.py

ibnummuhammad/merlin

acf10a350bcacfdfe67f7020d535467b71ff1d89

[ "Apache-2.0" ]

26

2020-10-21T03:53:36.000Z

2022-03-16T06:43:15.000Z

ARTIFACT_MODEL_PATH = "model_path"

34

0.852941

3105ff23b9c64a55ea00bc0b0607d9b5dbb914e5

134

py

Python

toeplitzlda/classification/__init__.py

jsosulski/toeplitzlda

ed56fb22fa70fb6c58b0c18db560eb3fd3f488c3

[ "BSD-3-Clause-Clear" ]

3

2022-02-14T12:47:33.000Z

2022-03-17T11:48:57.000Z

toeplitzlda/classification/__init__.py

jsosulski/toeplitzlda

ed56fb22fa70fb6c58b0c18db560eb3fd3f488c3

[ "BSD-3-Clause-Clear" ]

3

2022-02-11T11:05:22.000Z

2022-02-11T11:06:51.000Z

toeplitzlda/classification/__init__.py

jsosulski/toeplitzlda

ed56fb22fa70fb6c58b0c18db560eb3fd3f488c3

[ "BSD-3-Clause-Clear" ]

1

2022-03-07T08:13:03.000Z

from . import covariance from .toeplitzlda import ( EpochsVectorizer, ShrinkageLinearDiscriminantAnalysis, ToeplitzLDA, )

19.142857

40

0.768657

c79c71cf81c88bda220c698b29b9b2602a9616b2

19,614

py

Python

lib/python2.7/site-packages/scipy/io/tests/test_idl.py

wfehrnstrom/harmonize

e5661d24b2021739e8ac4bf1d3a530eda4e155b3

[ "MIT" ]

6,989

2017-07-18T06:23:18.000Z

2022-03-31T15:58:36.000Z

SLpackage/private/thirdparty/pythonpkgs/scipy/scipy_0.19.1/lib/python2.7/site-packages/scipy/io/tests/test_idl.py

fanglab/6mASCOPE

3f1fdcb7693ff152f17623ce549526ec272698b1

[ "BSD-3-Clause" ]

1,978

2017-07-18T09:17:58.000Z

2022-03-31T14:28:43.000Z

SLpackage/private/thirdparty/pythonpkgs/scipy/scipy_0.19.1/lib/python2.7/site-packages/scipy/io/tests/test_idl.py

fanglab/6mASCOPE

3f1fdcb7693ff152f17623ce549526ec272698b1

[ "BSD-3-Clause" ]

1,228

2017-07-18T09:03:13.000Z

2022-03-29T05:57:40.000Z

from __future__ import division, print_function, absolute_import from os import path import warnings DATA_PATH = path.join(path.dirname(__file__), 'data') import numpy as np from numpy.testing import (assert_equal, assert_array_equal, run_module_suite, assert_) from scipy.io.idl import readsav def object_array(*args): """Constructs a numpy array of objects""" array = np.empty(len(args), dtype=object) for i in range(len(args)): array[i] = args[i] return array def assert_identical(a, b): """Assert whether value AND type are the same""" assert_equal(a, b) if type(b) is str: assert_equal(type(a), type(b)) else: assert_equal(np.asarray(a).dtype.type, np.asarray(b).dtype.type) def assert_array_identical(a, b): """Assert whether values AND type are the same""" assert_array_equal(a, b) assert_equal(a.dtype.type, b.dtype.type) # Define vectorized ID function for pointer arrays vect_id = np.vectorize(id) class TestIdict: def test_idict(self): custom_dict = {'a': np.int16(999)} original_id = id(custom_dict) s = readsav(path.join(DATA_PATH, 'scalar_byte.sav'), idict=custom_dict, verbose=False) assert_equal(original_id, id(s)) assert_('a' in s) assert_identical(s['a'], np.int16(999)) assert_identical(s['i8u'], np.uint8(234)) class TestScalars: # Test that scalar values are read in with the correct value and type def test_byte(self): s = readsav(path.join(DATA_PATH, 'scalar_byte.sav'), verbose=False) assert_identical(s.i8u, np.uint8(234)) def test_int16(self): s = readsav(path.join(DATA_PATH, 'scalar_int16.sav'), verbose=False) assert_identical(s.i16s, np.int16(-23456)) def test_int32(self): s = readsav(path.join(DATA_PATH, 'scalar_int32.sav'), verbose=False) assert_identical(s.i32s, np.int32(-1234567890)) def test_float32(self): s = readsav(path.join(DATA_PATH, 'scalar_float32.sav'), verbose=False) assert_identical(s.f32, np.float32(-3.1234567e+37)) def test_float64(self): s = readsav(path.join(DATA_PATH, 'scalar_float64.sav'), verbose=False) assert_identical(s.f64, np.float64(-1.1976931348623157e+307)) def test_complex32(self): s = readsav(path.join(DATA_PATH, 'scalar_complex32.sav'), verbose=False) assert_identical(s.c32, np.complex64(3.124442e13-2.312442e31j)) def test_bytes(self): s = readsav(path.join(DATA_PATH, 'scalar_string.sav'), verbose=False) assert_identical(s.s, np.bytes_("The quick brown fox jumps over the lazy python")) def test_structure(self): pass def test_complex64(self): s = readsav(path.join(DATA_PATH, 'scalar_complex64.sav'), verbose=False) assert_identical(s.c64, np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j)) def test_heap_pointer(self): pass def test_object_reference(self): pass def test_uint16(self): s = readsav(path.join(DATA_PATH, 'scalar_uint16.sav'), verbose=False) assert_identical(s.i16u, np.uint16(65511)) def test_uint32(self): s = readsav(path.join(DATA_PATH, 'scalar_uint32.sav'), verbose=False) assert_identical(s.i32u, np.uint32(4294967233)) def test_int64(self): s = readsav(path.join(DATA_PATH, 'scalar_int64.sav'), verbose=False) assert_identical(s.i64s, np.int64(-9223372036854774567)) def test_uint64(self): s = readsav(path.join(DATA_PATH, 'scalar_uint64.sav'), verbose=False) assert_identical(s.i64u, np.uint64(18446744073709529285)) class TestCompressed(TestScalars): # Test that compressed .sav files can be read in def test_compressed(self): s = readsav(path.join(DATA_PATH, 'various_compressed.sav'), verbose=False) assert_identical(s.i8u, np.uint8(234)) assert_identical(s.f32, np.float32(-3.1234567e+37)) assert_identical(s.c64, np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j)) assert_equal(s.array5d.shape, (4, 3, 4, 6, 5)) assert_identical(s.arrays.a[0], np.array([1, 2, 3], dtype=np.int16)) assert_identical(s.arrays.b[0], np.array([4., 5., 6., 7.], dtype=np.float32)) assert_identical(s.arrays.c[0], np.array([np.complex64(1+2j), np.complex64(7+8j)])) assert_identical(s.arrays.d[0], np.array([b"cheese", b"bacon", b"spam"], dtype=object)) class TestArrayDimensions: # Test that multi-dimensional arrays are read in with the correct dimensions def test_1d(self): s = readsav(path.join(DATA_PATH, 'array_float32_1d.sav'), verbose=False) assert_equal(s.array1d.shape, (123, )) def test_2d(self): s = readsav(path.join(DATA_PATH, 'array_float32_2d.sav'), verbose=False) assert_equal(s.array2d.shape, (22, 12)) def test_3d(self): s = readsav(path.join(DATA_PATH, 'array_float32_3d.sav'), verbose=False) assert_equal(s.array3d.shape, (11, 22, 12)) def test_4d(self): s = readsav(path.join(DATA_PATH, 'array_float32_4d.sav'), verbose=False) assert_equal(s.array4d.shape, (4, 5, 8, 7)) def test_5d(self): s = readsav(path.join(DATA_PATH, 'array_float32_5d.sav'), verbose=False) assert_equal(s.array5d.shape, (4, 3, 4, 6, 5)) def test_6d(self): s = readsav(path.join(DATA_PATH, 'array_float32_6d.sav'), verbose=False) assert_equal(s.array6d.shape, (3, 6, 4, 5, 3, 4)) def test_7d(self): s = readsav(path.join(DATA_PATH, 'array_float32_7d.sav'), verbose=False) assert_equal(s.array7d.shape, (2, 1, 2, 3, 4, 3, 2)) def test_8d(self): s = readsav(path.join(DATA_PATH, 'array_float32_8d.sav'), verbose=False) assert_equal(s.array8d.shape, (4, 3, 2, 1, 2, 3, 5, 4)) class TestStructures: def test_scalars(self): s = readsav(path.join(DATA_PATH, 'struct_scalars.sav'), verbose=False) assert_identical(s.scalars.a, np.array(np.int16(1))) assert_identical(s.scalars.b, np.array(np.int32(2))) assert_identical(s.scalars.c, np.array(np.float32(3.))) assert_identical(s.scalars.d, np.array(np.float64(4.))) assert_identical(s.scalars.e, np.array([b"spam"], dtype=object)) assert_identical(s.scalars.f, np.array(np.complex64(-1.+3j))) def test_scalars_replicated(self): s = readsav(path.join(DATA_PATH, 'struct_scalars_replicated.sav'), verbose=False) assert_identical(s.scalars_rep.a, np.repeat(np.int16(1), 5)) assert_identical(s.scalars_rep.b, np.repeat(np.int32(2), 5)) assert_identical(s.scalars_rep.c, np.repeat(np.float32(3.), 5)) assert_identical(s.scalars_rep.d, np.repeat(np.float64(4.), 5)) assert_identical(s.scalars_rep.e, np.repeat(b"spam", 5).astype(object)) assert_identical(s.scalars_rep.f, np.repeat(np.complex64(-1.+3j), 5)) def test_scalars_replicated_3d(self): s = readsav(path.join(DATA_PATH, 'struct_scalars_replicated_3d.sav'), verbose=False) assert_identical(s.scalars_rep.a, np.repeat(np.int16(1), 24).reshape(4, 3, 2)) assert_identical(s.scalars_rep.b, np.repeat(np.int32(2), 24).reshape(4, 3, 2)) assert_identical(s.scalars_rep.c, np.repeat(np.float32(3.), 24).reshape(4, 3, 2)) assert_identical(s.scalars_rep.d, np.repeat(np.float64(4.), 24).reshape(4, 3, 2)) assert_identical(s.scalars_rep.e, np.repeat(b"spam", 24).reshape(4, 3, 2).astype(object)) assert_identical(s.scalars_rep.f, np.repeat(np.complex64(-1.+3j), 24).reshape(4, 3, 2)) def test_arrays(self): s = readsav(path.join(DATA_PATH, 'struct_arrays.sav'), verbose=False) assert_array_identical(s.arrays.a[0], np.array([1, 2, 3], dtype=np.int16)) assert_array_identical(s.arrays.b[0], np.array([4., 5., 6., 7.], dtype=np.float32)) assert_array_identical(s.arrays.c[0], np.array([np.complex64(1+2j), np.complex64(7+8j)])) assert_array_identical(s.arrays.d[0], np.array([b"cheese", b"bacon", b"spam"], dtype=object)) def test_arrays_replicated(self): s = readsav(path.join(DATA_PATH, 'struct_arrays_replicated.sav'), verbose=False) # Check column types assert_(s.arrays_rep.a.dtype.type is np.object_) assert_(s.arrays_rep.b.dtype.type is np.object_) assert_(s.arrays_rep.c.dtype.type is np.object_) assert_(s.arrays_rep.d.dtype.type is np.object_) # Check column shapes assert_equal(s.arrays_rep.a.shape, (5, )) assert_equal(s.arrays_rep.b.shape, (5, )) assert_equal(s.arrays_rep.c.shape, (5, )) assert_equal(s.arrays_rep.d.shape, (5, )) # Check values for i in range(5): assert_array_identical(s.arrays_rep.a[i], np.array([1, 2, 3], dtype=np.int16)) assert_array_identical(s.arrays_rep.b[i], np.array([4., 5., 6., 7.], dtype=np.float32)) assert_array_identical(s.arrays_rep.c[i], np.array([np.complex64(1+2j), np.complex64(7+8j)])) assert_array_identical(s.arrays_rep.d[i], np.array([b"cheese", b"bacon", b"spam"], dtype=object)) def test_arrays_replicated_3d(self): s = readsav(path.join(DATA_PATH, 'struct_arrays_replicated_3d.sav'), verbose=False) # Check column types assert_(s.arrays_rep.a.dtype.type is np.object_) assert_(s.arrays_rep.b.dtype.type is np.object_) assert_(s.arrays_rep.c.dtype.type is np.object_) assert_(s.arrays_rep.d.dtype.type is np.object_) # Check column shapes assert_equal(s.arrays_rep.a.shape, (4, 3, 2)) assert_equal(s.arrays_rep.b.shape, (4, 3, 2)) assert_equal(s.arrays_rep.c.shape, (4, 3, 2)) assert_equal(s.arrays_rep.d.shape, (4, 3, 2)) # Check values for i in range(4): for j in range(3): for k in range(2): assert_array_identical(s.arrays_rep.a[i, j, k], np.array([1, 2, 3], dtype=np.int16)) assert_array_identical(s.arrays_rep.b[i, j, k], np.array([4., 5., 6., 7.], dtype=np.float32)) assert_array_identical(s.arrays_rep.c[i, j, k], np.array([np.complex64(1+2j), np.complex64(7+8j)])) assert_array_identical(s.arrays_rep.d[i, j, k], np.array([b"cheese", b"bacon", b"spam"], dtype=object)) def test_inheritance(self): s = readsav(path.join(DATA_PATH, 'struct_inherit.sav'), verbose=False) assert_identical(s.fc.x, np.array([0], dtype=np.int16)) assert_identical(s.fc.y, np.array([0], dtype=np.int16)) assert_identical(s.fc.r, np.array([0], dtype=np.int16)) assert_identical(s.fc.c, np.array([4], dtype=np.int16)) def test_arrays_corrupt_idl80(self): # test byte arrays with missing nbyte information from IDL 8.0 .sav file with warnings.catch_warnings(): warnings.simplefilter('ignore') s = readsav(path.join(DATA_PATH,'struct_arrays_byte_idl80.sav'), verbose=False) assert_identical(s.y.x[0], np.array([55,66], dtype=np.uint8)) class TestPointers: # Check that pointers in .sav files produce references to the same object in Python def test_pointers(self): s = readsav(path.join(DATA_PATH, 'scalar_heap_pointer.sav'), verbose=False) assert_identical(s.c64_pointer1, np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j)) assert_identical(s.c64_pointer2, np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j)) assert_(s.c64_pointer1 is s.c64_pointer2) class TestPointerArray: # Test that pointers in arrays are correctly read in def test_1d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_1d.sav'), verbose=False) assert_equal(s.array1d.shape, (123, )) assert_(np.all(s.array1d == np.float32(4.))) assert_(np.all(vect_id(s.array1d) == id(s.array1d[0]))) def test_2d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_2d.sav'), verbose=False) assert_equal(s.array2d.shape, (22, 12)) assert_(np.all(s.array2d == np.float32(4.))) assert_(np.all(vect_id(s.array2d) == id(s.array2d[0,0]))) def test_3d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_3d.sav'), verbose=False) assert_equal(s.array3d.shape, (11, 22, 12)) assert_(np.all(s.array3d == np.float32(4.))) assert_(np.all(vect_id(s.array3d) == id(s.array3d[0,0,0]))) def test_4d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_4d.sav'), verbose=False) assert_equal(s.array4d.shape, (4, 5, 8, 7)) assert_(np.all(s.array4d == np.float32(4.))) assert_(np.all(vect_id(s.array4d) == id(s.array4d[0,0,0,0]))) def test_5d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_5d.sav'), verbose=False) assert_equal(s.array5d.shape, (4, 3, 4, 6, 5)) assert_(np.all(s.array5d == np.float32(4.))) assert_(np.all(vect_id(s.array5d) == id(s.array5d[0,0,0,0,0]))) def test_6d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_6d.sav'), verbose=False) assert_equal(s.array6d.shape, (3, 6, 4, 5, 3, 4)) assert_(np.all(s.array6d == np.float32(4.))) assert_(np.all(vect_id(s.array6d) == id(s.array6d[0,0,0,0,0,0]))) def test_7d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_7d.sav'), verbose=False) assert_equal(s.array7d.shape, (2, 1, 2, 3, 4, 3, 2)) assert_(np.all(s.array7d == np.float32(4.))) assert_(np.all(vect_id(s.array7d) == id(s.array7d[0,0,0,0,0,0,0]))) def test_8d(self): s = readsav(path.join(DATA_PATH, 'array_float32_pointer_8d.sav'), verbose=False) assert_equal(s.array8d.shape, (4, 3, 2, 1, 2, 3, 5, 4)) assert_(np.all(s.array8d == np.float32(4.))) assert_(np.all(vect_id(s.array8d) == id(s.array8d[0,0,0,0,0,0,0,0]))) class TestPointerStructures: # Test that structures are correctly read in def test_scalars(self): s = readsav(path.join(DATA_PATH, 'struct_pointers.sav'), verbose=False) assert_identical(s.pointers.g, np.array(np.float32(4.), dtype=np.object_)) assert_identical(s.pointers.h, np.array(np.float32(4.), dtype=np.object_)) assert_(id(s.pointers.g[0]) == id(s.pointers.h[0])) def test_pointers_replicated(self): s = readsav(path.join(DATA_PATH, 'struct_pointers_replicated.sav'), verbose=False) assert_identical(s.pointers_rep.g, np.repeat(np.float32(4.), 5).astype(np.object_)) assert_identical(s.pointers_rep.h, np.repeat(np.float32(4.), 5).astype(np.object_)) assert_(np.all(vect_id(s.pointers_rep.g) == vect_id(s.pointers_rep.h))) def test_pointers_replicated_3d(self): s = readsav(path.join(DATA_PATH, 'struct_pointers_replicated_3d.sav'), verbose=False) s_expect = np.repeat(np.float32(4.), 24).reshape(4, 3, 2).astype(np.object_) assert_identical(s.pointers_rep.g, s_expect) assert_identical(s.pointers_rep.h, s_expect) assert_(np.all(vect_id(s.pointers_rep.g) == vect_id(s.pointers_rep.h))) def test_arrays(self): s = readsav(path.join(DATA_PATH, 'struct_pointer_arrays.sav'), verbose=False) assert_array_identical(s.arrays.g[0], np.repeat(np.float32(4.), 2).astype(np.object_)) assert_array_identical(s.arrays.h[0], np.repeat(np.float32(4.), 3).astype(np.object_)) assert_(np.all(vect_id(s.arrays.g[0]) == id(s.arrays.g[0][0]))) assert_(np.all(vect_id(s.arrays.h[0]) == id(s.arrays.h[0][0]))) assert_(id(s.arrays.g[0][0]) == id(s.arrays.h[0][0])) def test_arrays_replicated(self): s = readsav(path.join(DATA_PATH, 'struct_pointer_arrays_replicated.sav'), verbose=False) # Check column types assert_(s.arrays_rep.g.dtype.type is np.object_) assert_(s.arrays_rep.h.dtype.type is np.object_) # Check column shapes assert_equal(s.arrays_rep.g.shape, (5, )) assert_equal(s.arrays_rep.h.shape, (5, )) # Check values for i in range(5): assert_array_identical(s.arrays_rep.g[i], np.repeat(np.float32(4.), 2).astype(np.object_)) assert_array_identical(s.arrays_rep.h[i], np.repeat(np.float32(4.), 3).astype(np.object_)) assert_(np.all(vect_id(s.arrays_rep.g[i]) == id(s.arrays_rep.g[0][0]))) assert_(np.all(vect_id(s.arrays_rep.h[i]) == id(s.arrays_rep.h[0][0]))) def test_arrays_replicated_3d(self): pth = path.join(DATA_PATH, 'struct_pointer_arrays_replicated_3d.sav') s = readsav(pth, verbose=False) # Check column types assert_(s.arrays_rep.g.dtype.type is np.object_) assert_(s.arrays_rep.h.dtype.type is np.object_) # Check column shapes assert_equal(s.arrays_rep.g.shape, (4, 3, 2)) assert_equal(s.arrays_rep.h.shape, (4, 3, 2)) # Check values for i in range(4): for j in range(3): for k in range(2): assert_array_identical(s.arrays_rep.g[i, j, k], np.repeat(np.float32(4.), 2).astype(np.object_)) assert_array_identical(s.arrays_rep.h[i, j, k], np.repeat(np.float32(4.), 3).astype(np.object_)) assert_(np.all(vect_id(s.arrays_rep.g[i, j, k]) == id(s.arrays_rep.g[0, 0, 0][0]))) assert_(np.all(vect_id(s.arrays_rep.h[i, j, k]) == id(s.arrays_rep.h[0, 0, 0][0]))) class TestTags: '''Test that sav files with description tag read at all''' def test_description(self): s = readsav(path.join(DATA_PATH, 'scalar_byte_descr.sav'), verbose=False) assert_identical(s.i8u, np.uint8(234)) def test_null_pointer(): # Regression test for null pointers. s = readsav(path.join(DATA_PATH, 'null_pointer.sav'), verbose=False) assert_identical(s.point, None) assert_identical(s.check, np.int16(5)) def test_invalid_pointer(): # Regression test for invalid pointers (gh-4613). # In some files in the wild, pointers can sometimes refer to a heap # variable that does not exist. In that case, we now gracefully fail for # that variable and replace the variable with None and emit a warning. # Since it's difficult to artificially produce such files, the file used # here has been edited to force the pointer reference to be invalid. with warnings.catch_warnings(record=True) as w: s = readsav(path.join(DATA_PATH, 'invalid_pointer.sav'), verbose=False) assert_(len(w) == 1) assert_(str(w[0].message) == ("Variable referenced by pointer not found in " "heap: variable will be set to None")) assert_identical(s['a'], np.array([None, None])) if __name__ == "__main__": run_module_suite()

44.175676

105

0.632456

84178a0ece7f70b8a176b3ad1fcbafd91f457b19

422

py

Python

kubails/conftest.py

DevinSit/kubails

b3b2f9487d815868f0fbe9fae649789a40b50ad8

[ "MIT" ]

2

2019-05-28T00:26:52.000Z

2019-08-02T23:02:19.000Z

kubails/conftest.py

DevinSit/kubails

b3b2f9487d815868f0fbe9fae649789a40b50ad8

[ "MIT" ]

51

2019-12-23T04:34:40.000Z

2022-02-12T02:28:44.000Z

kubails/conftest.py

DevinSit/kubails

b3b2f9487d815868f0fbe9fae649789a40b50ad8

[ "MIT" ]

1

2019-09-11T20:12:18.000Z

""" The first-run configuration file for PyTest. PyTest runs the code in this file before any tests. So far, this is just used to set a flag so that code can check whether or not it's running in a test (used to disable the file logger when testing). For more information about conftest.py, see https://docs.pytest.org/en/2.7.3/plugins.html. """ import sys def pytest_configure(config): sys._called_from_test = True

32.461538

100

0.755924

ebbec2b31f51b42977f815252637c6fdbe6791a0

539

py

Python

src/the_pitch/indicators/ema.py

dpasse/the_pitch

8b36cf9a4c798fc22feda55d23ed06218be30965

[ "MIT" ]

null

src/the_pitch/indicators/ema.py

dpasse/the_pitch

8b36cf9a4c798fc22feda55d23ed06218be30965

[ "MIT" ]

null

src/the_pitch/indicators/ema.py

dpasse/the_pitch

8b36cf9a4c798fc22feda55d23ed06218be30965

[ "MIT" ]

null

import pandas as pd from .abstract_indicator import AbstractIndicator from ..converters import utils class EMA(AbstractIndicator): def __init__(self, column: str = 'close', period: int = 20): super().__init__(f'ema_{column}_{period}') self.column = column self.period = period def compute(self, df: pd.DataFrame, **kwargs) -> pd.DataFrame: df[self.name] = df[self.column].transform( lambda x: x.ewm(span=self.period).mean() ).map(utils.decimal_from_float) return df

28.368421

66

0.653061

3f464d4ec6ce8060b10d6baec0d84a36a683ccf0

590

py

Python

experiment_scripts/read_pickle.py

anilesec/attention-op

7a20650e3ae42318cdde6be138b020f7f161bfce

[ "MIT" ]

null

experiment_scripts/read_pickle.py

anilesec/attention-op

7a20650e3ae42318cdde6be138b020f7f161bfce

[ "MIT" ]

null

experiment_scripts/read_pickle.py

anilesec/attention-op

7a20650e3ae42318cdde6be138b020f7f161bfce

[ "MIT" ]

null

import pickle import numpy as np objects = [] with(open("./results/tsp/tsp100_test_seed1234/tsp100_test_seed1234-pretrained_tsp_100-greedy-t1-0-10000.pkl", "rb")) as openfile: while True: try: objects.append(pickle.load(openfile)) except EOFError: break #print(isinstance(objects, list)) #print(type(objects)) #print(objects[0]) temp = [] for x in objects[0][0]: temp.append(x[0]) # print(x[0]) print(np.mean(np.array(temp))) #for t in len(temp): # print(t) #for t in range(len(objects)): # if t < 5: # print(objects[t])

21.071429

129

0.632203

372421a4cd7755ff3c4ed104baf281d5a6f29ede

4,969

py

Python

Polynomials.py

DatHydroGuy/QRCode

3145ad7b5b64bb5561c772c1b4d8875f9858dc37

[ "MIT" ]

null

Polynomials.py

DatHydroGuy/QRCode

3145ad7b5b64bb5561c772c1b4d8875f9858dc37

[ "MIT" ]

null

Polynomials.py

DatHydroGuy/QRCode

3145ad7b5b64bb5561c772c1b4d8875f9858dc37

[ "MIT" ]

null

class Polynomials: """ All calculations must be performed within Galois field GF(256). Polynomials are represented in alpha notation. 10 251 9 67 8 46 7 61 6 118 5 70 4 64 3 94 2 32 45 For example: x + α x + α x + α x + α x + α x + α x + α x + α x + α x + α where α represents the number 2 in GF(256) """ exponents = [1, 2, 4, 8, 16, 32, 64, 128, 29, 58, 116, 232, 205, 135, 19, 38, 76, 152, 45, 90, 180, 117, 234, 201, 143, 3, 6, 12, 24, 48, 96, 192, 157, 39, 78, 156, 37, 74, 148, 53, 106, 212, 181, 119, 238, 193, 159, 35, 70, 140, 5, 10, 20, 40, 80, 160, 93, 186, 105, 210, 185, 111, 222, 161, 95, 190, 97, 194, 153, 47, 94, 188, 101, 202, 137, 15, 30, 60, 120, 240, 253, 231, 211, 187, 107, 214, 177, 127, 254, 225, 223, 163, 91, 182, 113, 226, 217, 175, 67, 134, 17, 34, 68, 136, 13, 26, 52, 104, 208, 189, 103, 206, 129, 31, 62, 124, 248, 237, 199, 147, 59, 118, 236, 197, 151, 51, 102, 204, 133, 23, 46, 92, 184, 109, 218, 169, 79, 158, 33, 66, 132, 21, 42, 84, 168, 77, 154, 41, 82, 164, 85, 170, 73, 146, 57, 114, 228, 213, 183, 115, 230, 209, 191, 99, 198, 145, 63, 126, 252, 229, 215, 179, 123, 246, 241, 255, 227, 219, 171, 75, 150, 49, 98, 196, 149, 55, 110, 220, 165, 87, 174, 65, 130, 25, 50, 100, 200, 141, 7, 14, 28, 56, 112, 224, 221, 167, 83, 166, 81, 162, 89, 178, 121, 242, 249, 239, 195, 155, 43, 86, 172, 69, 138, 9, 18, 36, 72, 144, 61, 122, 244, 245, 247, 243, 251, 235, 203, 139, 11, 22, 44, 88, 176, 125, 250, 233, 207, 131, 27, 54, 108, 216, 173, 71, 142, 1] @staticmethod def fix_exponent(exponent): return (exponent % 256) + (exponent // 256) def add_factors(self, factor1, factor2): val1 = self.exponents[factor1] val2 = self.exponents[factor2] new_val = val1 ^ val2 return self.exponents.index(new_val) def generator(self, number_of_terms, in_alpha_format=True): alpha_polynomial = [0, 0] # our initial representation of αx + α for i in range(number_of_terms): high = [] low = [] new_poly = [0, i + 1] for j in alpha_polynomial: new_high = self.fix_exponent(j + new_poly[0]) if j + new_poly[0] > 255 else j + new_poly[0] high.append(new_high) new_low = self.fix_exponent(j + new_poly[1]) if j + new_poly[1] > 255 else j + new_poly[1] low.append(new_low) alpha_polynomial = [high[0]] + [self.add_factors(low[k], high[k + 1]) for k in range(len(high) - 1)] +\ [low[-1]] return alpha_polynomial if in_alpha_format else self.convert_alpha_to_polynomial(alpha_polynomial) def convert_value_to_alpha(self, value): return self.exponents.index(value) def convert_alpha_to_value(self, value): return self.exponents[value] def convert_polynomial_to_alpha(self, polynomial): return [self.convert_value_to_alpha(i) for i in polynomial] def convert_alpha_to_polynomial(self, alpha_polynomial): return [self.convert_alpha_to_value(i) for i in alpha_polynomial] def divide_polynomials(self, dividend, divisor): num_divisor_poly_terms = len(divisor) num_dividend_poly_terms = len(dividend) result = [x for x in dividend] + [0 for _ in range(num_divisor_poly_terms - 1)] divisor_alpha = self.convert_polynomial_to_alpha(divisor) multiply_poly = [x for x in divisor_alpha] + [0 for _ in range(num_dividend_poly_terms - 1)] xor_poly = [x for x in result] i = 0 while i < num_dividend_poly_terms: # multiply divisor polynomial by lead term of the dividend polynomial dividend_lead_term = self.convert_value_to_alpha(result[0]) for i2 in range(num_divisor_poly_terms): multiply_poly[i2] = (divisor_alpha[i2] + dividend_lead_term) % 255 multiply_poly[i2] = self.convert_alpha_to_value(multiply_poly[i2]) result = [multiply_poly[i] ^ msg for i, msg in enumerate(xor_poly)] result = result[1:] + [0] while result[0] == 0: result = result[1:] + [0] # a leading zero means we can divide again i += 1 xor_poly = [x for x in result] i += 1 result = result[:(num_divisor_poly_terms - 1)] return result # # if __name__ == '__main__': # poly = Polynomials() # divid = [32, 91, 11, 120, 209, 114, 220, 77, 67, 64, 236, 17, 236, 17, 236, 17] # divis = [1, 216, 194, 159, 111, 199, 94, 95, 113, 157, 193] # a = poly.divide_polynomials(divid, divis) # print(divid) # print(divis) # print(a)

52.861702

119

0.565104

a2d46520e252237a11d580d6876fd50c3c16c705

2,684

py

Python

kobart/pytorch_kobart.py

swoook/KoBART-cloned

7d0812c8e94ded728b329070105940cbd59ab115

[ "MIT" ]

null

kobart/pytorch_kobart.py

swoook/KoBART-cloned

7d0812c8e94ded728b329070105940cbd59ab115

[ "MIT" ]

null

kobart/pytorch_kobart.py

swoook/KoBART-cloned

7d0812c8e94ded728b329070105940cbd59ab115

[ "MIT" ]

null

# coding=utf-8 # Modified MIT License # Software Copyright (c) 2020 SK telecom # 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 above copyright notice and this permission notice need not be included # with content created by 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. import os import shutil from zipfile import ZipFile from kobart.utils import download as _download pytorch_kobart = { "url": "https://kobert.blob.core.windows.net/models/kobart/kobart_base_cased_ff4bda5738.zip", "fname": "kobart_base_cased_ff4bda5738.zip", "chksum": "ff4bda5738", } def get_pytorch_kobart_model(ctx="cpu", cachedir=".cache"): # download model global pytorch_kobart model_info = pytorch_kobart model_zip, is_cached = _download( model_info["url"], model_info["fname"], model_info["chksum"], cachedir=cachedir ) cachedir_full = os.path.expanduser(cachedir) model_path = os.path.join(cachedir_full, "kobart_from_pretrained") if not os.path.exists(model_path) or not is_cached: if not is_cached: shutil.rmtree(model_path, ignore_errors=True) zipf = ZipFile(os.path.expanduser(model_zip)) zipf.extractall(path=cachedir_full) return model_path if __name__ == "__main__": # pip install git+https://github.com/SKT-AI/KoBART#egg=kobart from transformers import BartModel from kobart import get_pytorch_kobart_model, get_kobart_tokenizer kobart_tokenizer = get_kobart_tokenizer() print(kobart_tokenizer.tokenize("안녕하세요. 한국어 BART 입니다.🤣:)l^o")) model = BartModel.from_pretrained(get_pytorch_kobart_model()) inputs = kobart_tokenizer(["안녕하세요."], return_tensors="pt") print(model(inputs["input_ids"]))

41.292308

106

0.753353

d6a830bcd4955a2908f85722e9da8e7db1d12076

9,581

py

Python

Examples/TestZMQ.py

robmakie/dash.py

5b0e4515be96224e0b34c1126eee9b17789d38d1

[ "MIT" ]

null

Examples/TestZMQ.py

robmakie/dash.py

5b0e4515be96224e0b34c1126eee9b17789d38d1

[ "MIT" ]

null

Examples/TestZMQ.py

robmakie/dash.py

5b0e4515be96224e0b34c1126eee9b17789d38d1

[ "MIT" ]

null

#!/bin/python3 import time import random import argparse import signal import dashio import logging import platform class TestControls: def signal_cntrl_c(self, os_signal, os_frame): self.shutdown = True def init_logging(self, logfilename, level): log_level = logging.WARN if level == 1: log_level = logging.INFO elif level == 2: log_level = logging.DEBUG if not logfilename: formatter = logging.Formatter("%(asctime)s, %(message)s") handler = logging.StreamHandler() handler.setFormatter(formatter) logger = logging.getLogger() logger.addHandler(handler) logger.setLevel(log_level) else: logging.basicConfig( filename=logfilename, level=log_level, format="%(asctime)s, %(message)s", datefmt="%Y-%m-%d %H:%M:%S", ) logging.info("==== Started ====") def parse_commandline_arguments(self): parser = argparse.ArgumentParser() parser.add_argument( "-v", "--verbose", const=1, default=1, type=int, nargs="?", help="""increase verbosity: 0 = only warnings, 1 = info, 2 = debug. No number means info. Default is no verbosity.""", ) parser.add_argument("-u", "--url", help="Host URL.", dest="url", default="tcp://*") parser.add_argument( "-c", "--connection_name", dest="connection", default="TestTCP", help="IotDashboard Connection name" ) parser.add_argument("-d", "--device_id", dest="device_id", default="00001", help="IotDashboard Device ID.") parser.add_argument("-s", "--sub_port", dest="sub_port", type=int, default=5556, help="Port number") parser.add_argument("-p", "--pub_port", dest="pub_port", type=int, default=5555, help="Port number") parser.add_argument( "-n", "--device_name", dest="device_name", default="TCPTest", help="Alias name for device." ) parser.add_argument("-l", "--logfile", dest="logfilename", default="", help="logfile location", metavar="FILE") args = parser.parse_args() return args def up_btn_event_handler(self, msg): if self.sldr_cntrl.bar1_value < self.sldr_cntrl.max: self.sldr_cntrl.bar1_value += 1 self.sldr_dbl_cntrl.bar1_value += 1 def down_btn_event_handler(self, msg): if self.sldr_cntrl.bar1_value > self.sldr_cntrl.min: self.sldr_cntrl.bar1_value -= 1 self.sldr_dbl_cntrl.bar1_value -= 1 def slider_event_handler(self, msg): self.sldr_cntrl.slider_value = float(msg[0]) self.knb_control.knob_dial_value = float(msg[0]) def slider_dbl_event_handler(self, msg): self.sldr_dbl_cntrl.slider_value = float(msg[0]) self.selector_ctrl.position = int(float(msg[0])) def knob_event_handler(self, msg): self.knb_control.knob_value = float(msg[0]) self.dl_control.dial_value = float(msg[0]) self.sldr_dbl_cntrl.bar2_value = float(msg[0]) def text_cntrl_message_handler(self, msg): self.device.send_popup_message("TCPTest", "Text Box message", msg[0]) self.text_cntrl.text = "Popup sent: " + msg[0] logging.info(msg) def selector_ctrl_handler(self, msg): print(self.selector_ctrl.selection_list[int(msg[0])]) def __init__(self): # Catch CNTRL-C signel signal.signal(signal.SIGINT, self.signal_cntrl_c) self.shutdown = False args = self.parse_commandline_arguments() self.init_logging(args.logfilename, args.verbose) logging.info(" Serving on: ZMQ") logging.info("Connection ID: %s", args.connection) logging.info(" Device ID: %s", args.device_id) logging.info(" Device Name: %s", args.device_name) self.device = dashio.dashDevice(args.connection, args.device_id, args.device_name) time.sleep(1) self.zmq_con = dashio.zmqConnection(pub_port=args.pub_port, sub_port=args.sub_port) time.sleep(1) self.zmq_con.add_device(self.device) self.connection = args.connection self.page_name = "TestZMQ: " + platform.node() self.page_test = dashio.Page("TestZMQ", self.page_name, 1) self.up_btn = dashio.Button("UP_BTN", control_position=dashio.ControlPosition(0.02, 0.01, 0.22, 0.12)) self.up_btn.btn_state = dashio.ButtonState.OFF self.up_btn.icon_name = dashio.Icon.UP self.up_btn.on_color = dashio.Color.GREEN self.up_btn.text = "" self.up_btn.text_color = dashio.Color.WHITE self.up_btn.title = "Up" self.up_btn.message_rx_event += self.up_btn_event_handler self.page_test.add_control(self.up_btn) self.down_btn = dashio.Button( "DOWN_BTN", control_position=dashio.ControlPosition(0.02, 0.78, 0.22, 0.12) ) self.down_btn.btn_state = dashio.ButtonState.OFF self.down_btn.icon_name = dashio.Icon.DOWN self.down_btn.on_color = dashio.Color.GREEN self.down_btn.text = "" self.down_btn.text_color = dashio.Color.WHITE self.down_btn.title = "Down" self.down_btn.message_rx_event += self.down_btn_event_handler self.page_test.add_control(self.down_btn) self.sldr_cntrl = dashio.SliderSingleBar( "SLDR", control_position=dashio.ControlPosition(0.02, 0.13, 0.22, 0.65) ) self.sldr_cntrl.title = "Slider" self.sldr_cntrl.max = 10 self.sldr_cntrl.slider_enabled = True self.sldr_cntrl.red_value self.sldr_cntrl.message_rx_event += self.slider_event_handler self.page_test.add_control(self.sldr_cntrl) self.sldr_dbl_cntrl = dashio.SliderDoubleBar( "SLDR_DBL", control_position=dashio.ControlPosition(0.78, 0.01, 0.2, 0.89) ) self.sldr_dbl_cntrl.title = "Slider Double" self.sldr_dbl_cntrl.max = 5 self.sldr_dbl_cntrl.slider_enabled = True self.sldr_dbl_cntrl.red_value self.sldr_dbl_cntrl.message_rx_event += self.slider_dbl_event_handler self.page_test.add_control(self.sldr_dbl_cntrl) self.knb_control = dashio.Knob("KNB", control_position=dashio.ControlPosition(0.24, 0.14, 0.54, 0.21)) self.knb_control.title = "A Knob" self.knb_control.max = 10 self.knb_control.red_value = 10 self.knb_control.message_rx_event += self.knob_event_handler self.page_test.add_control(self.knb_control) self.dl_control = dashio.Dial("DIAL1", control_position=dashio.ControlPosition(0.24, 0.57, 0.54, 0.21)) self.dl_control.title = "A Dial" self.dl_control.max = 10 self.page_test.add_control(self.dl_control) self.text_cntrl = dashio.TextBox( "TXT1", control_position=dashio.ControlPosition(0.24, 0.78, 0.54, 0.12) ) self.text_cntrl.text = "Hello" self.text_cntrl.title = "A text control" self.text_cntrl.keyboard_type = dashio.Keyboard.ALL_CHARS self.text_cntrl.close_key_board_on_send = True self.text_cntrl.message_rx_event += self.text_cntrl_message_handler self.page_test.add_control(self.text_cntrl) self.alarm_ctrl = dashio.Alarm("TestingAlarms", "Test Alarms", "Hello", "Test of Shared Alarms") self.device.add_control(self.alarm_ctrl) self.comp_control = dashio.Compass("COMP1", control_position=dashio.ControlPosition(0.24, 0.35, 0.54, 0.22)) self.comp_control.title = "A compass" self.page_test.add_control(self.comp_control) self.selector_ctrl = dashio.Selector( "TestSelector", "A Selector", control_position=dashio.ControlPosition(0.24, 0.01, 0.54, 0.13) ) self.selector_ctrl.message_rx_event += self.selector_ctrl_handler self.selector_ctrl.add_selection("First") self.selector_ctrl.add_selection("Second") self.selector_ctrl.add_selection("Third") self.selector_ctrl.add_selection("Forth") self.selector_ctrl.add_selection("Fifth") self.page_test.add_control(self.selector_ctrl) self.label_ctrl = dashio.Label( "LabelID", "A label", style=dashio.LabelStyle.GROUP, color=dashio.Color.BLUE, control_position=dashio.ControlPosition(0.0, 0.0, 1.0, 0.93), ) self.page_test.add_control(self.label_ctrl) self.device.add_control(self.label_ctrl) self.device.add_control(self.page_test) self.device.add_control(self.selector_ctrl) self.device.add_control(self.comp_control) self.device.add_control(self.text_cntrl) self.device.add_control(self.dl_control) self.device.add_control(self.knb_control) self.device.add_control(self.sldr_dbl_cntrl) self.device.add_control(self.sldr_cntrl) self.device.add_control(self.down_btn) self.device.add_control(self.up_btn) while not self.shutdown: time.sleep(5) self.comp_control.direction_value = random.random() * 360 self.device.send_popup_message("TestControls", "Shutting down", "Goodbye") time.sleep(1) self.device.close() self.zmq_con.close() def main(): tc = TestControls() if __name__ == "__main__": main()

40.256303

119

0.640539

94682429f2262ba13928af9a5ccf26bb6339b548

23,215

py

Python

tests/test_ssm/test_ssm_boto3.py

Joeskyyy/moto

46bf7f01767bdc745067dbd8c19f68758b5f7ef0

[ "Apache-2.0" ]

null

tests/test_ssm/test_ssm_boto3.py

Joeskyyy/moto

46bf7f01767bdc745067dbd8c19f68758b5f7ef0

[ "Apache-2.0" ]

null

tests/test_ssm/test_ssm_boto3.py

Joeskyyy/moto

46bf7f01767bdc745067dbd8c19f68758b5f7ef0

[ "Apache-2.0" ]

null

from __future__ import unicode_literals import boto3 import botocore.exceptions import sure # noqa import datetime import uuid import json from botocore.exceptions import ClientError from nose.tools import assert_raises from moto import mock_ssm, mock_cloudformation @mock_ssm def test_delete_parameter(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='String') response = client.get_parameters(Names=['test']) len(response['Parameters']).should.equal(1) client.delete_parameter(Name='test') response = client.get_parameters(Names=['test']) len(response['Parameters']).should.equal(0) @mock_ssm def test_delete_parameters(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='String') response = client.get_parameters(Names=['test']) len(response['Parameters']).should.equal(1) result = client.delete_parameters(Names=['test', 'invalid']) len(result['DeletedParameters']).should.equal(1) len(result['InvalidParameters']).should.equal(1) response = client.get_parameters(Names=['test']) len(response['Parameters']).should.equal(0) @mock_ssm def test_get_parameters_by_path(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='/foo/name1', Description='A test parameter', Value='value1', Type='String') client.put_parameter( Name='/foo/name2', Description='A test parameter', Value='value2', Type='String') client.put_parameter( Name='/bar/name3', Description='A test parameter', Value='value3', Type='String') client.put_parameter( Name='/bar/name3/name4', Description='A test parameter', Value='value4', Type='String') client.put_parameter( Name='/baz/name1', Description='A test parameter (list)', Value='value1,value2,value3', Type='StringList') client.put_parameter( Name='/baz/name2', Description='A test parameter', Value='value1', Type='String') client.put_parameter( Name='/baz/pwd', Description='A secure test parameter', Value='my_secret', Type='SecureString', KeyId='alias/aws/ssm') client.put_parameter( Name='foo', Description='A test parameter', Value='bar', Type='String') client.put_parameter( Name='baz', Description='A test parameter', Value='qux', Type='String') response = client.get_parameters_by_path(Path='/', Recursive=False) len(response['Parameters']).should.equal(2) {p['Value'] for p in response['Parameters']}.should.equal( set(['bar', 'qux']) ) response = client.get_parameters_by_path(Path='/', Recursive=True) len(response['Parameters']).should.equal(9) response = client.get_parameters_by_path(Path='/foo') len(response['Parameters']).should.equal(2) {p['Value'] for p in response['Parameters']}.should.equal( set(['value1', 'value2']) ) response = client.get_parameters_by_path(Path='/bar', Recursive=False) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Value'].should.equal('value3') response = client.get_parameters_by_path(Path='/bar', Recursive=True) len(response['Parameters']).should.equal(2) {p['Value'] for p in response['Parameters']}.should.equal( set(['value3', 'value4']) ) response = client.get_parameters_by_path(Path='/baz') len(response['Parameters']).should.equal(3) filters = [{ 'Key': 'Type', 'Option': 'Equals', 'Values': ['StringList'], }] response = client.get_parameters_by_path(Path='/baz', ParameterFilters=filters) len(response['Parameters']).should.equal(1) {p['Name'] for p in response['Parameters']}.should.equal( set(['/baz/name1']) ) # note: 'Option' is optional (default: 'Equals') filters = [{ 'Key': 'Type', 'Values': ['StringList'], }] response = client.get_parameters_by_path(Path='/baz', ParameterFilters=filters) len(response['Parameters']).should.equal(1) {p['Name'] for p in response['Parameters']}.should.equal( set(['/baz/name1']) ) filters = [{ 'Key': 'Type', 'Option': 'Equals', 'Values': ['String'], }] response = client.get_parameters_by_path(Path='/baz', ParameterFilters=filters) len(response['Parameters']).should.equal(1) {p['Name'] for p in response['Parameters']}.should.equal( set(['/baz/name2']) ) filters = [{ 'Key': 'Type', 'Option': 'Equals', 'Values': ['String', 'SecureString'], }] response = client.get_parameters_by_path(Path='/baz', ParameterFilters=filters) len(response['Parameters']).should.equal(2) {p['Name'] for p in response['Parameters']}.should.equal( set(['/baz/name2', '/baz/pwd']) ) filters = [{ 'Key': 'Type', 'Option': 'BeginsWith', 'Values': ['String'], }] response = client.get_parameters_by_path(Path='/baz', ParameterFilters=filters) len(response['Parameters']).should.equal(2) {p['Name'] for p in response['Parameters']}.should.equal( set(['/baz/name1', '/baz/name2']) ) filters = [{ 'Key': 'KeyId', 'Option': 'Equals', 'Values': ['alias/aws/ssm'], }] response = client.get_parameters_by_path(Path='/baz', ParameterFilters=filters) len(response['Parameters']).should.equal(1) {p['Name'] for p in response['Parameters']}.should.equal( set(['/baz/pwd']) ) @mock_ssm def test_put_parameter(): client = boto3.client('ssm', region_name='us-east-1') response = client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='String') response['Version'].should.equal(1) response = client.get_parameters( Names=[ 'test' ], WithDecryption=False) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('value') response['Parameters'][0]['Type'].should.equal('String') response['Parameters'][0]['Version'].should.equal(1) try: client.put_parameter( Name='test', Description='desc 2', Value='value 2', Type='String') raise RuntimeError('Should fail') except botocore.exceptions.ClientError as err: err.operation_name.should.equal('PutParameter') err.response['Error']['Message'].should.equal('Parameter test already exists.') response = client.get_parameters( Names=[ 'test' ], WithDecryption=False) # without overwrite nothing change len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('value') response['Parameters'][0]['Type'].should.equal('String') response['Parameters'][0]['Version'].should.equal(1) response = client.put_parameter( Name='test', Description='desc 3', Value='value 3', Type='String', Overwrite=True) response['Version'].should.equal(2) response = client.get_parameters( Names=[ 'test' ], WithDecryption=False) # without overwrite nothing change len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('value 3') response['Parameters'][0]['Type'].should.equal('String') response['Parameters'][0]['Version'].should.equal(2) @mock_ssm def test_get_parameter(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='String') response = client.get_parameter( Name='test', WithDecryption=False) response['Parameter']['Name'].should.equal('test') response['Parameter']['Value'].should.equal('value') response['Parameter']['Type'].should.equal('String') @mock_ssm def test_get_nonexistant_parameter(): client = boto3.client('ssm', region_name='us-east-1') try: client.get_parameter( Name='test_noexist', WithDecryption=False) raise RuntimeError('Should of failed') except botocore.exceptions.ClientError as err: err.operation_name.should.equal('GetParameter') err.response['Error']['Message'].should.equal('Parameter test_noexist not found.') @mock_ssm def test_describe_parameters(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='String', AllowedPattern=r'.*') response = client.describe_parameters() len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Type'].should.equal('String') response['Parameters'][0]['AllowedPattern'].should.equal(r'.*') @mock_ssm def test_describe_parameters_paging(): client = boto3.client('ssm', region_name='us-east-1') for i in range(50): client.put_parameter( Name="param-%d" % i, Value="value-%d" % i, Type="String" ) response = client.describe_parameters() len(response['Parameters']).should.equal(10) response['NextToken'].should.equal('10') response = client.describe_parameters(NextToken=response['NextToken']) len(response['Parameters']).should.equal(10) response['NextToken'].should.equal('20') response = client.describe_parameters(NextToken=response['NextToken']) len(response['Parameters']).should.equal(10) response['NextToken'].should.equal('30') response = client.describe_parameters(NextToken=response['NextToken']) len(response['Parameters']).should.equal(10) response['NextToken'].should.equal('40') response = client.describe_parameters(NextToken=response['NextToken']) len(response['Parameters']).should.equal(10) response['NextToken'].should.equal('50') response = client.describe_parameters(NextToken=response['NextToken']) len(response['Parameters']).should.equal(0) ''.should.equal(response.get('NextToken', '')) @mock_ssm def test_describe_parameters_filter_names(): client = boto3.client('ssm', region_name='us-east-1') for i in range(50): p = { 'Name': "param-%d" % i, 'Value': "value-%d" % i, 'Type': "String" } if i % 5 == 0: p['Type'] = 'SecureString' p['KeyId'] = 'a key' client.put_parameter(**p) response = client.describe_parameters(Filters=[ { 'Key': 'Name', 'Values': ['param-22'] }, ]) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('param-22') response['Parameters'][0]['Type'].should.equal('String') ''.should.equal(response.get('NextToken', '')) @mock_ssm def test_describe_parameters_filter_type(): client = boto3.client('ssm', region_name='us-east-1') for i in range(50): p = { 'Name': "param-%d" % i, 'Value': "value-%d" % i, 'Type': "String" } if i % 5 == 0: p['Type'] = 'SecureString' p['KeyId'] = 'a key' client.put_parameter(**p) response = client.describe_parameters(Filters=[ { 'Key': 'Type', 'Values': ['SecureString'] }, ]) len(response['Parameters']).should.equal(10) response['Parameters'][0]['Type'].should.equal('SecureString') '10'.should.equal(response.get('NextToken', '')) @mock_ssm def test_describe_parameters_filter_keyid(): client = boto3.client('ssm', region_name='us-east-1') for i in range(50): p = { 'Name': "param-%d" % i, 'Value': "value-%d" % i, 'Type': "String" } if i % 5 == 0: p['Type'] = 'SecureString' p['KeyId'] = "key:%d" % i client.put_parameter(**p) response = client.describe_parameters(Filters=[ { 'Key': 'KeyId', 'Values': ['key:10'] }, ]) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('param-10') response['Parameters'][0]['Type'].should.equal('SecureString') ''.should.equal(response.get('NextToken', '')) @mock_ssm def test_describe_parameters_attributes(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='aa', Value='11', Type='String', Description='my description' ) client.put_parameter( Name='bb', Value='22', Type='String' ) response = client.describe_parameters() len(response['Parameters']).should.equal(2) response['Parameters'][0]['Description'].should.equal('my description') response['Parameters'][0]['Version'].should.equal(1) response['Parameters'][0]['LastModifiedDate'].should.be.a(datetime.date) response['Parameters'][0]['LastModifiedUser'].should.equal('N/A') response['Parameters'][1].get('Description').should.be.none response['Parameters'][1]['Version'].should.equal(1) @mock_ssm def test_get_parameter_invalid(): client = client = boto3.client('ssm', region_name='us-east-1') response = client.get_parameters( Names=[ 'invalid' ], WithDecryption=False) len(response['Parameters']).should.equal(0) len(response['InvalidParameters']).should.equal(1) response['InvalidParameters'][0].should.equal('invalid') @mock_ssm def test_put_parameter_secure_default_kms(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='SecureString') response = client.get_parameters( Names=[ 'test' ], WithDecryption=False) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('kms:default:value') response['Parameters'][0]['Type'].should.equal('SecureString') response = client.get_parameters( Names=[ 'test' ], WithDecryption=True) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('value') response['Parameters'][0]['Type'].should.equal('SecureString') @mock_ssm def test_put_parameter_secure_custom_kms(): client = boto3.client('ssm', region_name='us-east-1') client.put_parameter( Name='test', Description='A test parameter', Value='value', Type='SecureString', KeyId='foo') response = client.get_parameters( Names=[ 'test' ], WithDecryption=False) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('kms:foo:value') response['Parameters'][0]['Type'].should.equal('SecureString') response = client.get_parameters( Names=[ 'test' ], WithDecryption=True) len(response['Parameters']).should.equal(1) response['Parameters'][0]['Name'].should.equal('test') response['Parameters'][0]['Value'].should.equal('value') response['Parameters'][0]['Type'].should.equal('SecureString') @mock_ssm def test_add_remove_list_tags_for_resource(): client = boto3.client('ssm', region_name='us-east-1') client.add_tags_to_resource( ResourceId='test', ResourceType='Parameter', Tags=[{'Key': 'test-key', 'Value': 'test-value'}] ) response = client.list_tags_for_resource( ResourceId='test', ResourceType='Parameter' ) len(response['TagList']).should.equal(1) response['TagList'][0]['Key'].should.equal('test-key') response['TagList'][0]['Value'].should.equal('test-value') client.remove_tags_from_resource( ResourceId='test', ResourceType='Parameter', TagKeys=['test-key'] ) response = client.list_tags_for_resource( ResourceId='test', ResourceType='Parameter' ) len(response['TagList']).should.equal(0) @mock_ssm def test_send_command(): ssm_document = 'AWS-RunShellScript' params = {'commands': ['#!/bin/bash\necho \'hello world\'']} client = boto3.client('ssm', region_name='us-east-1') # note the timeout is determined server side, so this is a simpler check. before = datetime.datetime.now() response = client.send_command( InstanceIds=['i-123456'], DocumentName=ssm_document, Parameters=params, OutputS3Region='us-east-2', OutputS3BucketName='the-bucket', OutputS3KeyPrefix='pref' ) cmd = response['Command'] cmd['CommandId'].should_not.be(None) cmd['DocumentName'].should.equal(ssm_document) cmd['Parameters'].should.equal(params) cmd['OutputS3Region'].should.equal('us-east-2') cmd['OutputS3BucketName'].should.equal('the-bucket') cmd['OutputS3KeyPrefix'].should.equal('pref') cmd['ExpiresAfter'].should.be.greater_than(before) # test sending a command without any optional parameters response = client.send_command( DocumentName=ssm_document) cmd = response['Command'] cmd['CommandId'].should_not.be(None) cmd['DocumentName'].should.equal(ssm_document) @mock_ssm def test_list_commands(): client = boto3.client('ssm', region_name='us-east-1') ssm_document = 'AWS-RunShellScript' params = {'commands': ['#!/bin/bash\necho \'hello world\'']} response = client.send_command( InstanceIds=['i-123456'], DocumentName=ssm_document, Parameters=params, OutputS3Region='us-east-2', OutputS3BucketName='the-bucket', OutputS3KeyPrefix='pref') cmd = response['Command'] cmd_id = cmd['CommandId'] # get the command by id response = client.list_commands( CommandId=cmd_id) cmds = response['Commands'] len(cmds).should.equal(1) cmds[0]['CommandId'].should.equal(cmd_id) # add another command with the same instance id to test listing by # instance id client.send_command( InstanceIds=['i-123456'], DocumentName=ssm_document) response = client.list_commands( InstanceId='i-123456') cmds = response['Commands'] len(cmds).should.equal(2) for cmd in cmds: cmd['InstanceIds'].should.contain('i-123456') # test the error case for an invalid command id with assert_raises(ClientError): response = client.list_commands( CommandId=str(uuid.uuid4())) @mock_ssm def test_get_command_invocation(): client = boto3.client('ssm', region_name='us-east-1') ssm_document = 'AWS-RunShellScript' params = {'commands': ['#!/bin/bash\necho \'hello world\'']} response = client.send_command( InstanceIds=['i-123456', 'i-234567', 'i-345678'], DocumentName=ssm_document, Parameters=params, OutputS3Region='us-east-2', OutputS3BucketName='the-bucket', OutputS3KeyPrefix='pref') cmd = response['Command'] cmd_id = cmd['CommandId'] instance_id = 'i-345678' invocation_response = client.get_command_invocation( CommandId=cmd_id, InstanceId=instance_id, PluginName='aws:runShellScript') invocation_response['CommandId'].should.equal(cmd_id) invocation_response['InstanceId'].should.equal(instance_id) # test the error case for an invalid instance id with assert_raises(ClientError): invocation_response = client.get_command_invocation( CommandId=cmd_id, InstanceId='i-FAKE') # test the error case for an invalid plugin name with assert_raises(ClientError): invocation_response = client.get_command_invocation( CommandId=cmd_id, InstanceId=instance_id, PluginName='FAKE') @mock_ssm @mock_cloudformation def test_get_command_invocations_from_stack(): stack_template = { "AWSTemplateFormatVersion": "2010-09-09", "Description": "Test Stack", "Resources": { "EC2Instance1": { "Type": "AWS::EC2::Instance", "Properties": { "ImageId": "ami-test-image-id", "KeyName": "test", "InstanceType": "t2.micro", "Tags": [ { "Key": "Test Description", "Value": "Test tag" }, { "Key": "Test Name", "Value": "Name tag for tests" } ] } } }, "Outputs": { "test": { "Description": "Test Output", "Value": "Test output value", "Export": { "Name": "Test value to export" } }, "PublicIP": { "Value": "Test public ip" } } } cloudformation_client = boto3.client( 'cloudformation', region_name='us-east-1') stack_template_str = json.dumps(stack_template) response = cloudformation_client.create_stack( StackName='test_stack', TemplateBody=stack_template_str, Capabilities=('CAPABILITY_IAM', )) client = boto3.client('ssm', region_name='us-east-1') ssm_document = 'AWS-RunShellScript' params = {'commands': ['#!/bin/bash\necho \'hello world\'']} response = client.send_command( Targets=[{ 'Key': 'tag:aws:cloudformation:stack-name', 'Values': ('test_stack', )}], DocumentName=ssm_document, Parameters=params, OutputS3Region='us-east-2', OutputS3BucketName='the-bucket', OutputS3KeyPrefix='pref') cmd = response['Command'] cmd_id = cmd['CommandId'] instance_ids = cmd['InstanceIds'] invocation_response = client.get_command_invocation( CommandId=cmd_id, InstanceId=instance_ids[0], PluginName='aws:runShellScript')

29.423321

90

0.605643

5712bfd11bb2dd248b66269c69d910fa87d5bf2a

10,826

py

Python

cross3d/maya/mayasceneviewport.py

vedantirb/cross3d

e27c2dc80bf607ef7ccf3970b713bfea8211228b

[ "MIT" ]

129

2016-07-26T16:00:56.000Z

2021-08-07T03:44:41.000Z

cross3d/maya/mayasceneviewport.py

vedantirb/cross3d

e27c2dc80bf607ef7ccf3970b713bfea8211228b

[ "MIT" ]

3

2016-08-26T01:37:03.000Z

2019-08-13T01:46:01.000Z

cross3d/maya/mayasceneviewport.py

vedantirb/cross3d

e27c2dc80bf607ef7ccf3970b713bfea8211228b

[ "MIT" ]

33

2016-07-30T00:26:00.000Z

2022-03-09T07:10:54.000Z

import glob import os from functools import partial import maya.cmds as cmds import maya.OpenMaya as om import maya.OpenMayaUI as omUI import cross3d from cross3d import Exceptions, ExceptionRouter from cross3d.classes import FrameRange from cross3d.abstract.abstractsceneviewport import AbstractSceneViewport #------------------------------------------------------------------------------------------------------------------------ class MayaSceneViewport(AbstractSceneViewport): # From the Docs: # To determine which settings are available on your system, use the `playblast -options` # command. This will display a system-specific dialog with supported compression formats. _validPlayblastFormats = ['gif', 'si', 'rla', 'tif', 'tifu', 'sgi', 'als', 'maya', 'jpg', 'eps', 'cin', 'yuv', 'tga', 'bmp', 'psd', 'png', 'dds', 'psdLayered', 'avi', 'mov'] def __init__( self, scene, viewportID=None ): super(MayaSceneViewport, self).__init__(scene, viewportID) if viewportID == None: self._nativePointer = omUI.M3dView.active3dView() else: self._nativePointer = omUI.M3dView() omUI.M3dView.get3dView(viewportID, self._nativePointer) self._name = cross3d.SceneWrapper._mObjName(self._nativeCamera()) #-------------------------------------------------------------------------------- # Private Methods #-------------------------------------------------------------------------------- def _nativeCamera(self): undocumentedPythonFunctionRequirement = om.MDagPath() with ExceptionRouter(): self._nativePointer.getCamera(undocumentedPythonFunctionRequirement) return undocumentedPythonFunctionRequirement.node() def _setNativeCamera(self, nativeCamera): nativeCamera = cross3d.SceneWrapper._asMOBject(nativeCamera) with ExceptionRouter(): dagPath = om.MDagPath.getAPathTo(nativeCamera) self._nativePointer.setCamera(dagPath) # Ensure the viewport is refreshed cross3d.application.refresh() return True #-------------------------------------------------------------------------------- # Public Methods #-------------------------------------------------------------------------------- def cameraName(self): """ Return the viewport's camera name """ return self.camera().path() def createCamera(self, name='Camera', type='Standard'): """ Creates a camera that matches that viewport. """ camera = self._scene.createCamera(name, type) camera.matchCamera(self.camera()) # Default cameras are hidden. Force the camera visible camera.setHidden(False) return camera def generatePlayblast( self, fileName, frameRange=None, resolution=None, slate=None, effects=True, geometryOnly=True, pathFormat=r'{basePath}\{fileName}.{frame}.{ext}'): fileName, ext = os.path.splitext(fileName) # Make sure a invalid file format was not requested if ext.replace('.', '').lower() not in self._validPlayblastFormats: raise Exceptions.FileFormatNotSupported('The file format {ext} is not supported by Maya'.format(ext=ext)) playblastFormat = 'image' compression = ext.replace('.', '') quality = 100 if ext.lower() == '.mov': playblastFormat = 'qt' elif ext.lower() == '.avi': playblastFormat = 'avi' compression = None if isinstance(frameRange, int): frameRange = FrameRange([frameRange, frameRange]) if not frameRange: frameRange = self._scene.animationRange() # TODO: Make generating movies not require setting frame padding to 1 padding = 1 if not resolution: resolution = self._scene.renderSize() # TODO: Add support for these arguments if slate != None: # Note: this is probably how we can handle slate #cmds.headsUpDisplay( 'blurBurnin', section=8, block=0, blockAlignment='right', dw=50, label='This is my burnin') cross3d.logger.debug('slate is not implemented in Maya') if pathFormat != r'{basePath}\{fileName}.{frame}.{ext}': cross3d.logger.debug('pathFormat is not implemented in Maya') # Prepare to detect if the playblast was canceled formatter = '{fileName}.{frame:0%i}{ext}' % padding lastFrameFileName = formatter.format(fileName=fileName, frame=frameRange[1], ext=ext) try: lastFrameStartTime = os.path.getmtime(lastFrameFileName) except os.error: lastFrameStartTime = 0 # to properly generate a playblast # pass the width/height to the playblast command # set the camera displayOptions # set overscan to 1.0 and lock it # uncheck all options # set camera\Film Back # Fit Resolution Gate to overscan # set proper film aspect ratio? # set the render resolution? # MCH 10/16/14 NOTE: Info on parsing playblast Display Menu if we decide to add support for that later #-------------------------------------------------------------------------------- #for i in cmds.optionVar(list=True): # if i.startswith('playblastShow'): # print cmds.optionVar(query=i), i # # Set the value # cmds.optionVar( intValue=(i, False) # # Update the playblast menus # maya.mel.eval('updatePlayblastPluginMenus()') #-------------------------------------------------------------------------------- cam = self.camera() name = cam.path() overscanLocked = cmds.getAttr("{name}.overscan".format(name=cam.path()), lock=True) if overscanLocked: # unlock overscan if it is locked cmds.setAttr("{name}.overscan".format(name=name), lock=False) # create a StateLocker object to backup the current values before setting them from blur3d.lib.statelockerlib import StateLocker with StateLocker() as stateLocker: # Currently the state locker isnt the most convienent to use def setPropertyLocker(obj, key, value): stateLocker.setMethodArgs(obj, obj.setProperty, partial(obj.property, key), key, value) # Set FilmBack.FitResolutionGate to Overscan setPropertyLocker(cam, 'filmFit', 3) # uncheck Display Film Gate setPropertyLocker(cam, 'displayFilmGate', 0) # uncheck Display Resolution setPropertyLocker(cam, 'displayResolution', 0) # Set overscan to 1.0 setPropertyLocker(cam, 'overscan', 1.0) # Store and restore these settings using modelEditor # The key is the property to query/edit, the value is the value used while playblasting modelEditorOverrides = {'sel':False} # Find the current viewport so we can apply the viewport settings panel = cmds.getPanel(withFocus=True) # Check for if non-viewport panel's are active if not panel in cmds.getPanel(type='modelPanel'): panel = 'modelPanel4' if geometryOnly: modelEditorOverrides['nurbsSurfaces'] = True modelEditorOverrides['polymeshes'] = True modelEditorOverrides['subdivSurfaces'] = True # HACK: This records the viewport show options, sets them to playblast options, then # restores them # TODO: Make this load the settings from the playblast overrides attrs = ['nurbsCurves', 'nurbsSurfaces', 'cv', 'hulls', 'polymeshes', 'subdivSurfaces', 'planes', 'lights', 'cameras', 'imagePlane', 'joints', 'ikHandles', 'dynamics', 'deformers', 'fluids', 'hairSystems', 'follicles', 'nCloths', 'nParticles', 'nRigids', 'dynamicConstraints', 'locators', 'dimensions', 'pivots', 'handles', 'textures', 'strokes', 'motionTrails', 'pluginShapes', 'clipGhosts', 'greasePencils', 'manipulators', 'grid', 'hud'] # Disable display of all of these options as long as modelEditorOverrides doesnt # already contain a setting key updateDict = dict([(attr, False) for attr in attrs if attr not in modelEditorOverrides]) modelEditorOverrides.update(updateDict) # New features in 2015 if cross3d.application.version() > 2014 and 'particleInstancers' not in modelEditorOverrides: modelEditorOverrides.update(particleInstancers=False) if effects == True: modelEditorOverrides.update(displayTextures=True, displayLights='all') setPropertyLocker(self._scene, 'hardwareRenderingGlobals.ssaoEnable', 1) setPropertyLocker(self._scene, 'hardwareRenderingGlobals.motionBlurEnable', 1) setPropertyLocker(self._scene, 'hardwareRenderingGlobals.multiSampleEnable', True) # TODO: Add Camera.setDeptOfField to cross3d ntp = cam._nativeTypePointer stateLocker.setMethod(ntp, ntp.setDepthOfField, ntp.isDepthOfField, True) if effects == False: modelEditorOverrides.update(displayTextures=False, displayLights='default') setPropertyLocker(self._scene, 'hardwareRenderingGlobals.ssaoEnable', 0) setPropertyLocker(self._scene, 'hardwareRenderingGlobals.motionBlurEnable', 0) setPropertyLocker(self._scene, 'hardwareRenderingGlobals.multiSampleEnable', False) # TODO: Add Camera.setDeptOfField to cross3d ntp = cam._nativeTypePointer stateLocker.setMethod(ntp, ntp.setDepthOfField, ntp.isDepthOfField, False) # Store the current values modelEditorStates = {} for option, value in modelEditorOverrides.iteritems(): # Store the current value modelEditorStates[option] = cmds.modelEditor(panel, query=True, **{option: True}) # Set the playblast value cmds.modelEditor(panel, edit=True, **{option: value}) # # Uncomment this code to update the ui so you can see what options get disabled in the toolbar # from PyQt4.QtGui import QApplication, QMessageBox # QApplication.processEvents() # QMessageBox.question(None, 'Temp', 'update') # generate playblast cmds.playblast( width=resolution.width(), height=resolution.height(), startTime=frameRange.start(), endTime=frameRange.end(), percent=100, filename=fileName, showOrnaments=False, format=playblastFormat, compression=compression, quality=quality, framePadding=padding, viewer=False) # Restore the modelEditor options to their previous value for option, value in modelEditorStates.iteritems(): cmds.modelEditor(panel, edit=True, **{option: value}) if overscanLocked: # relock overscan cmds.setAttr("{name}.overscan".format(name=name), lock=True) # No way to detect if a avi or quicktime was canceled if ext.lower() in ('.mov', '.avi'): return True # If the capture was not completed we just return False. try: lastFrameEndTime = os.path.getmtime(lastFrameFileName) if not lastFrameStartTime < lastFrameEndTime: return False except os.error: return False return True def refresh(self): self._nativePointer.refresh(False, True) # register the symbol cross3d.registerSymbol('SceneViewport', MayaSceneViewport)

41.478927

122

0.664234

64205aef13b3e88988f6d87e5edfd2b143f7f3cc

10,151

py

Python

neural_networks_tutorial.py

niumeng07/tutorials

4784b50e75424aa0289411912ac4f4c4e49a6cbc

[ "BSD-3-Clause" ]

1

2019-10-28T07:37:04.000Z

neural_networks_tutorial.py

niumeng07/tutorials

4784b50e75424aa0289411912ac4f4c4e49a6cbc

[ "BSD-3-Clause" ]

null

neural_networks_tutorial.py

niumeng07/tutorials

4784b50e75424aa0289411912ac4f4c4e49a6cbc

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Neural Networks =============== Neural networks can be constructed using the ``torch.nn`` package. Now that you had a glimpse of ``autograd``, ``nn`` depends on ``autograd`` to define models and differentiate them. An ``nn.Module`` contains layers, and a method ``forward(input)``\ that returns the ``output``. For example, look at this network that classifies digit images: .. figure:: /_static/img/mnist.png :alt: convnet convnet It is a simple feed-forward network. It takes the input, feeds it through several layers one after the other, and then finally gives the output. A typical training procedure for a neural network is as follows: - Define the neural network that has some learnable parameters (or weights) - Iterate over a dataset of inputs - Process input through the network - Compute the loss (how far is the output from being correct) - Propagate gradients back into the network’s parameters - Update the weights of the network, typically using a simple update rule: ``weight = weight - learning_rate * gradient`` Define the network ------------------ Let’s define this network: """ import torch import torch.nn as nn import torch.nn.functional as F def LOG(Name, *args): SEGMENT() print Name, for item in args: print type(item), item, pass def SEGMENT(): print "-" * 50 class Net(nn.Module): def __init__(self): super(Net, self).__init__() # 1 input image channel, 6 output channels, 5x5 square convolution # kernel self.conv1 = nn.Conv2d(1, 6, 5) self.conv2 = nn.Conv2d(6, 16, 5) # an affine operation: y = Wx + b self.fc1 = nn.Linear(16 * 5 * 5, 120) self.fc2 = nn.Linear(120, 84) self.fc3 = nn.Linear(84, 10) def forward(self, x): LOG(x.size()) #(1, 1, 32, 32) # Max pooling over a (2, 2) window x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2)) LOG(x.size()) #(1, 6, 14, 14) # If the size is a square you can only specify a single number x = F.max_pool2d(F.relu(self.conv2(x)), 2) LOG("x.size", x.size()) # (1, 16, 5, 5) x = x.view(-1, self.num_flat_features(x)) # 16 * 5 * 5 LOG("x.size", x.size()) # 1 * 400 x = F.relu(self.fc1(x)) LOG("x.size", x.size()) # 1 * 120 x = F.relu(self.fc2(x)) LOG("x.size", x.size()) # 1 * 84 x = self.fc3(x) LOG("x.size", x.size()) # 1 * 10 return x def num_flat_features(self, x): size = x.size()[1:] # all dimensions except the batch dimension num_features = 1 for s in size: num_features *= s # print num_features # 400 return num_features net = Net() print(net) ######################################################################## # You just have to define the ``forward`` function, and the ``backward`` # function (where gradients are computed) is automatically defined for you # using ``autograd``. # You can use any of the Tensor operations in the ``forward`` function. # # The learnable parameters of a model are returned by ``net.parameters()`` params = list(net.parameters()) #print(params) print(len(params)) print(params[0].size()) # conv1's .weight ######################################################################## # Let try a random 32x32 input. # Note: expected input size of this net (LeNet) is 32x32. To use this net on # MNIST dataset, please resize the images from the dataset to 32x32. input = torch.randn(1, 1, 32, 32) out = net(input) print(type(out)) # <class 'torch.Tensor'> print(out) # tensor([[ 0.0991, 0.0591, 0.0331, -0.0140, 0.0211, -0.1913, 0.0070, -0.0370, -0.0814, -0.1437]], grad_fn=<ThAddmmBackward>) ######################################################################## # Zero the gradient buffers of all parameters and backprops with random # gradients: net.zero_grad() #清空/初始化梯度 out.backward(torch.randn(1, 10)) #backprops with random gradients ######################################################################## # .. note:: # # ``torch.nn`` only supports mini-batches. The entire ``torch.nn`` # package only supports inputs that are a mini-batch of samples, and not # a single sample. # # For example, ``nn.Conv2d`` will take in a 4D Tensor of # ``nSamples x nChannels x Height x Width``. # # If you have a single sample, just use ``input.unsqueeze(0)`` to add # a fake batch dimension. # # Before proceeding further, let's recap all the classes you’ve seen so far. # # **Recap:** # - ``torch.Tensor`` - A *multi-dimensional array* with support for autograd # operations like ``backward()``. Also *holds the gradient* w.r.t. the # tensor. # - ``nn.Module`` - Neural network module. *Convenient way of # encapsulating parameters*, with helpers for moving them to GPU, # exporting, loading, etc. # - ``nn.Parameter`` - A kind of Tensor, that is *automatically # registered as a parameter when assigned as an attribute to a* # ``Module``. # - ``autograd.Function`` - Implements *forward and backward definitions # of an autograd operation*. Every ``Tensor`` operation creates at # least a single ``Function`` node that connects to functions that # created a ``Tensor`` and *encodes its history*. # # **At this point, we covered:** # - Defining a neural network # - Processing inputs and calling backward # # **Still Left:** # - Computing the loss # - Updating the weights of the network # # Loss Function # ------------- # A loss function takes the (output, target) pair of inputs, and computes a # value that estimates how far away the output is from the target. # # There are several different # `loss functions <https://pytorch.org/docs/nn.html#loss-functions>`_ under the # nn package . # A simple loss is: ``nn.MSELoss`` which computes the mean-squared error # between the input and the target. # # For example: def LOG(Name, *args): SEGMENT() print Name for item in args: print type(item), item SEGMENT() pass def SEGMENT(): print "-" * 50 LOG("input", input.size(), input) #input: (1, 1, 32, 32) output = net(input) #forward的返回 LOG("output", output.size(), output) # 1 * 10 target = torch.randn(10) # a dummy target, for example LOG("target", target) # 1 * 10 target = target.view(1, -1) # make it the same shape as output LOG("target", target) # 1 * 10 criterion = nn.MSELoss() LOG("criterion", criterion) ## Loss Function loss = criterion(output, target) LOG("loss", loss) ######################################################################## # Now, if you follow ``loss`` in the backward direction, using its # ``.grad_fn`` attribute, you will see a graph of computations that looks # like this: # # :: # # input -> conv2d -> relu -> maxpool2d -> conv2d -> relu -> maxpool2d # -> view -> linear -> relu -> linear -> relu -> linear # -> MSELoss # -> loss # # So, when we call ``loss.backward()``, the whole graph is differentiated # w.r.t. the loss, and all Tensors in the graph that has ``requires_grad=True`` # will have their ``.grad`` Tensor accumulated with the gradient. # # For illustration, let us follow a few steps backward: LOG("loss.grad_fn", loss.grad_fn) # MSELoss LOG("loss.grad_fn.next_functions[0][0]", loss.grad_fn.next_functions[0][0]) # Linear LOG("loss.grad_fn.next_functions[0][0].next_functions[0][0]", loss.grad_fn.next_functions[0][0].next_functions[0][0]) # ReLU ######################################################################## # Backprop # -------- # To backpropagate the error all we have to do is to ``loss.backward()``. # You need to clear the existing gradients though, else gradients will be # accumulated to existing gradients. # # # Now we shall call ``loss.backward()``, and have a look at conv1's bias # gradients before and after the backward. net.zero_grad() # zeroes the gradient buffers of all parameters print('conv1.bias.grad before backward') print(net.conv1.bias.grad) loss.backward() print('conv1.bias.grad after backward') print(net.conv1.bias.grad) ######################################################################## # Now, we have seen how to use loss functions. # # **Read Later:** # # The neural network package contains various modules and loss functions # that form the building blocks of deep neural networks. A full list with # documentation is `here <https://pytorch.org/docs/nn>`_. # # **The only thing left to learn is:** # # - Updating the weights of the network # # Update the weights # ------------------ # The simplest update rule used in practice is the Stochastic Gradient # Descent (SGD): # # ``weight = weight - learning_rate * gradient`` # # We can implement this using simple python code: # # .. code:: python # # learning_rate = 0.01 # for f in net.parameters(): # f.data.sub_(f.grad.data * learning_rate) # # However, as you use neural networks, you want to use various different # update rules such as SGD, Nesterov-SGD, Adam, RMSProp, etc. # To enable this, we built a small package: ``torch.optim`` that # implements all these methods. Using it is very simple: LOG("optmizer learning" + "-" * 30) import torch.optim as optim # create your optimizer optimizer = optim.SGD(net.parameters(), lr=0.001) # in your training loop: # Observe how gradient buffers had to be manually set to zero using optimizer.zero_grad(). This is because gradients are accumulated as explained in Backprop section. input = torch.randn(1, 1, 32, 32) output = net(input) target = torch.randn(10) target = target.view(1, -1) loss = criterion(output, target) loss.backward() for i in range(100): optimizer.zero_grad() # zero the gradient buffers optimizer.step() # Does the update print loss ############################################################### # .. Note:: # # Observe how gradient buffers had to be manually set to zero using # ``optimizer.zero_grad()``. This is because gradients are accumulated # as explained in `Backprop`_ section.

33.391447

166

0.622796

d4c0348365e2546951925353723928d8b8f88f04

1,182

py

Python

books/PythonCleanCode/ch5_decorator/decorator_side_effect_1.py

zeroam/TIL

43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1

[ "MIT" ]

null

books/PythonCleanCode/ch5_decorator/decorator_side_effect_1.py

zeroam/TIL

43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1

[ "MIT" ]

null

books/PythonCleanCode/ch5_decorator/decorator_side_effect_1.py

zeroam/TIL

43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1

[ "MIT" ]

null

"""Clean Code in Python - Chapter 5: Decorators > Undesired side effects on decorators """ import time from functools import wraps from log import logger def traced_function_wrong(function): """An example of a badly defined decorator.""" logger.debug("started execution of %s", function) start_time = time.time() @wraps(function) def wrapped(*args, **kwargs): result = function(*args, **kwargs) logger.info("function %s took %.2fs", function, time.time() - start_time) return result return wrapped @traced_function_wrong def process_with_delay(callback, delay=0): logger.info("sleep(%d)", delay) return callback def traced_function(function): @wraps(function) def wrapped(*args, **kwargs): logger.info("started execution of %s", function) start_time = time.time() result = function(*args, **kwargs) logger.info("function %s took %.2fs", function, time.time() - start_time) return result return wrapped @traced_function def call_with_delay(callback, delay=0): logger.info("sleep(%s)", delay) return callback

25.148936

82

0.645516

2ff99af4a56c934c0bb6b2bb59d902012579c3a5

1,826

py

Python

Cream/tools/generate_subImageNet.py

wkcn/AutoML

106cb0fbc19fa116c4ef5caf232acaaea85822c8

[ "MIT" ]

307

2020-10-29T13:17:02.000Z

2022-03-30T09:55:49.000Z

Cream/tools/generate_subImageNet.py

QPC-database/AutoML

75d86a5e3366a6c9af6c2001ee1ba4fc41c5d6cb

[ "MIT" ]

42

2020-10-30T07:09:48.000Z

2022-03-29T13:54:56.000Z

Cream/tools/generate_subImageNet.py

QPC-database/AutoML

75d86a5e3366a6c9af6c2001ee1ba4fc41c5d6cb

[ "MIT" ]

64

2020-10-30T10:08:48.000Z

2022-03-30T06:51:01.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # Written by Hao Du and Houwen Peng # email: haodu8-c@my.cityu.edu.hk and houwen.peng@microsoft.com # This file is to demonstrate how to generate subImagenet. import os data_path = './data' ImageNet_train_path = os.path.join(data_path, 'imagenet/train') subImageNet_name = 'subImageNet' class_idx_txt_path = os.path.join(data_path, subImageNet_name) # train classes = sorted(os.listdir(ImageNet_train_path)) if not os.path.exists(os.path.join(data_path, subImageNet_name)): os.mkdir(os.path.join(data_path, subImageNet_name)) subImageNet = dict() with open(os.path.join(class_idx_txt_path, 'subimages_list.txt'), 'w') as f: subImageNet_class = classes[:100] for iclass in subImageNet_class: class_path = os.path.join(ImageNet_train_path, iclass) if not os.path.exists( os.path.join( data_path, subImageNet_name, iclass)): os.mkdir(os.path.join(data_path, subImageNet_name, iclass)) images = sorted(os.listdir(class_path)) subImages = images[:350] # print("{}\n".format(subImages)) f.write("{}\n".format(subImages)) subImageNet[iclass] = subImages for image in subImages: raw_path = os.path.join(ImageNet_train_path, iclass, image) new_ipath = os.path.join( data_path, subImageNet_name, iclass, image) os.system('cp {} {}'.format(raw_path, new_ipath)) sub_classes = sorted(subImageNet.keys()) with open(os.path.join(class_idx_txt_path, 'info.txt'), 'w') as f: class_idx = 0 for key in sub_classes: images = sorted((subImageNet[key])) # print(len(images)) f.write("{}\n".format(key)) class_idx = class_idx + 1

37.265306

76

0.659912

c2f4f20073b0bce76dd88d83f072cce959ea2199

45,792

py

Python

src/sardana/taurus/core/tango/sardana/macroserver.py

tiagocoutinho/sardana

d8689755d7e11d60138f1e601a4d177cd412fdb1

[ "CC-BY-3.0" ]

null

src/sardana/taurus/core/tango/sardana/macroserver.py

tiagocoutinho/sardana

d8689755d7e11d60138f1e601a4d177cd412fdb1

[ "CC-BY-3.0" ]

null

src/sardana/taurus/core/tango/sardana/macroserver.py

tiagocoutinho/sardana

d8689755d7e11d60138f1e601a4d177cd412fdb1

[ "CC-BY-3.0" ]

null

#!/usr/bin/env python ############################################################################## ## # This file is part of Sardana ## # http://www.sardana-controls.org/ ## # Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain ## # Sardana is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. ## # Sardana 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 Lesser General Public License for more details. ## # You should have received a copy of the GNU Lesser General Public License # along with Sardana. If not, see <http://www.gnu.org/licenses/>. ## ############################################################################## """The macroserver submodule. It contains specific part of macroserver""" __all__ = ['BaseInputHandler', 'BaseDoor', 'BaseMacroServer', 'registerExtensions'] __docformat__ = 'restructuredtext' import sys import time import uuid import math import weakref import threading import os.path as osp import os from lxml import etree import PyTango from taurus import Device, Factory from taurus.core.taurusmanager import TaurusManager from taurus.core.taurusbasetypes import TaurusEventType, TaurusSWDevState, \ TaurusSerializationMode from taurus.core import TaurusDevState from taurus.core.util.log import Logger from taurus.core.util.containers import CaselessDict from taurus.core.util.codecs import CodecFactory from taurus.core.util.event import EventGenerator, AttributeEventWait from taurus.core.tango import TangoDevice from sardana.sardanautils import recur_map from .macro import MacroInfo, Macro, MacroNode, ParamFactory, \ SingleParamNode, ParamNode, createMacroNode from .sardana import BaseSardanaElementContainer, BaseSardanaElement from .pool import getChannelConfigs from itertools import zip_longest CHANGE_EVT_TYPES = TaurusEventType.Change, TaurusEventType.Periodic def _get_console_width(): try: width = int(os.popen('stty size', 'r').read().split()[1]) except Exception: width = float('inf') return width def _get_nb_lines(nb_chrs, max_chrs): return int(math.ceil(float(nb_chrs)/max_chrs)) class Attr(Logger, EventGenerator): def __init__(self, dev, name, obj_class, attr): self._dev = weakref.ref(dev) self._obj_class = obj_class self._attr = attr self.call__init__(Logger, name) event_name = '%s %s' % (dev.getNormalName(), name) self.call__init__(EventGenerator, event_name) self._attr.addListener(self) def eventReceived(self, src, type, evt_value): if type == TaurusEventType.Error: self.fireEvent(None) elif type != TaurusEventType.Config: if evt_value: self.fireEvent(evt_value.rvalue) else: self.fireEvent(None) def getTaurusAttribute(self): return self._attr def __getattr__(self, name): return getattr(self._attr, name) class LogAttr(Attr): def __init__(self, dev, name, obj_class, attr, max_buff_size=4096): self._log_buffer = [] self._max_buff_size = max_buff_size self.call__init__(Attr, dev, name, obj_class, attr) def getLogBuffer(self): return self._log_buffer def clearLogBuffer(self): self._log_buffer = [] def eventReceived(self, src, type, evt_value): if type == TaurusEventType.Change: if evt_value is None or evt_value.rvalue is None: self.fireEvent(None) else: self._log_buffer.extend(evt_value.rvalue) while len(self._log_buffer) > self._max_buff_size: self._log_buffer.pop(0) if evt_value: self.fireEvent(evt_value.rvalue) class BaseInputHandler(object): def __init__(self): try: self._input = raw_input except NameError: self._input = input def input(self, input_data=None): if input_data is None: input_data = {} prompt = input_data.get('prompt') ret = dict(input=None, cancel=False) try: if prompt is None: ret['input'] = self._input() else: ret['input'] = self._input(prompt) except: ret['cancel'] = True return ret def input_timeout(self, input_data): print("input timeout") class MacroServerDevice(TangoDevice): """A class encapsulating a generic macro server device (usually a MacroServer or a Door""" def _getEventWait(self): if not hasattr(self, '_evt_wait'): # create an object that waits for attribute events. # each time we use it we have to connect and disconnect to an # attribute self._evt_wait = AttributeEventWait() return self._evt_wait class ExperimentConfiguration(object): def __init__(self, door): self._door = door def get(self, cache=False): door = self._door macro_server = door.macro_server env = door.getEnvironment() ret = dict(ScanDir=env.get('ScanDir'), DataCompressionRank=env.get('DataCompressionRank', 1), PreScanSnapshot=env.get('PreScanSnapshot', [])) scan_file = env.get('ScanFile') if scan_file is None: scan_file = [] elif isinstance(scan_file, str): scan_file = [scan_file] ret['ScanFile'] = scan_file mnt_grps = macro_server.getElementsOfType("MeasurementGroup") mnt_grps_names = [mnt_grp.name for mnt_grp in list(mnt_grps.values())] mnt_grps_full_names = list(mnt_grps.keys()) active_mnt_grp = env.get('ActiveMntGrp') if active_mnt_grp is None and len(mnt_grps): active_mnt_grp = mnt_grps_names[0] door.putEnvironment('ActiveMntGrp', active_mnt_grp) ret['ActiveMntGrp'] = active_mnt_grp ret['MntGrpConfigs'] = mnt_grp_configs = CaselessDict() if len(mnt_grps) == 0: return ret mnt_grp_grps = PyTango.Group("grp") # use full names cause we may be using a different Tango database mnt_grp_grps.add(mnt_grps_full_names) codec = CodecFactory().getCodec('json') replies = mnt_grp_grps.read_attribute("configuration") for mnt_grp, reply in zip(mnt_grps_names, replies): try: mnt_grp_configs[mnt_grp] = \ codec.decode(('json', reply.get_data().value))[1] except Exception as e: from taurus.core.util.log import warning warning('Cannot load Measurement group "%s": %s', repr(mnt_grp), repr(e)) return ret def set(self, conf, mnt_grps=None): """Sets the ExperimentConfiguration dictionary.""" if mnt_grps is None: mnt_grps = list(conf['MntGrpConfigs'].keys()) codec = CodecFactory().getCodec('json') msg_error = '' for mnt_grp in mnt_grps: try: mnt_grp_cfg = conf['MntGrpConfigs'][mnt_grp] if mnt_grp_cfg is None: # a mntGrp to be deleted pool = self._getPoolOfElement(mnt_grp) pool.DeleteElement(mnt_grp) else: try: # TODO: Fix incorrect implementation. It must check if # the measurement group is part of the Pools # controlled by the MacroServer. Otherwise, # it must raise an exception. mnt_grp_dev = Device(mnt_grp) except Exception: # if the mnt_grp did not already exist, create it now chconfigs = getChannelConfigs(mnt_grp_cfg) chnames, chinfos = list(zip(*chconfigs)) # unzipping # We assume that all the channels belong to the same # pool! pool = self._getPoolOfElement(chnames[0]) pool.createMeasurementGroup([mnt_grp] + list(chnames)) mnt_grp_dev = Device(mnt_grp) # TODO when we start using measurement group extension # change the code below with the following: # mnt_grp.setConfiguration(mnt_grp_cfg) data = codec.encode(('', mnt_grp_cfg))[1] mnt_grp_dev.write_attribute('configuration', data) except PyTango.DevFailed as df: # Take the description of the first exception. desc = df.args[0].desc desc = desc.replace('\r', '') desc = desc.replace('\n', '') msg_error += 'Measurement Group {0}:\n'\ '{1}\n\n'.format(mnt_grp, desc) if len(msg_error) > 0: raise RuntimeError(msg_error) # Send the environment changes env = dict(ScanDir=conf.get('ScanDir'), ScanFile=conf.get('ScanFile'), DataCompressionRank=conf.get('DataCompressionRank', -1), ActiveMntGrp=conf.get('ActiveMntGrp'), PreScanSnapshot=conf.get('PreScanSnapshot')) self._door.putEnvironments(env) def _getPoolOfElement(self, elementname): ms = self._door.macro_server einfo = ms.getElementInfo(elementname) poolname = einfo.pool return ms.getElementInfo(poolname) # @property # def _pool(self): # pooldict = self._door.macro_server.getElementsOfType('Pool') # if len(pooldict)==0: # raise ValueError('Cannot access the Pool') # elif len(pooldict)>1: # raise ValueError('Multiple pools are not supported') # poolinfo = pooldict.values()[0] # return poolinfo class BaseDoor(MacroServerDevice): """ Class encapsulating Door device functionality.""" On = PyTango.DevState.ON Running = PyTango.DevState.RUNNING Paused = PyTango.DevState.STANDBY Critical = 'Critical' Error = 'Error' Warning = 'Warning' Info = 'Info' Output = 'Output' Debug = 'Debug' Result = 'Result' RecordData = 'RecordData' BlockStart = '<BLOCK>' BlockFinish = '</BLOCK>' log_streams = (Error, Warning, Info, Output, Debug, Result) # maximum execution time without user interruption # this also means a time window within door state events must arrive # 0.1 s was not enough on Windows (see sardana-ord/sardana#725) InteractiveTimeout = .3 def __init__(self, name, **kw): self._log_attr = CaselessDict() self._block_lines = 0 self._in_block = False self._macro_server = None self._running_macros = None self._running_macro = None self._last_running_macro = None self._user_xml = None self._ignore_logs = kw.get("ignore_logs", False) self._silent = kw.get("silent", True) self._debug = kw.get("debug", False) self._output_stream = kw.get("output", sys.stdout) self._writeLock = threading.Lock() self._input_handler = self.create_input_handler() self._len_last_data_line = 1 self.call__init__(MacroServerDevice, name, **kw) self._old_door_state = PyTango.DevState.UNKNOWN self._old_sw_door_state = TaurusDevState.Undefined self.stateObj.addListener(self.stateChanged) for log_name in self.log_streams: tg_attr = self.getAttribute(log_name) attr = LogAttr(self, log_name, None, tg_attr) if log_name == 'Result': attr.subscribeEvent(self.resultReceived, log_name) else: attr.subscribeEvent(self.logReceived, log_name) self._log_attr[log_name] = attr self.__input_attr = self.getAttribute("Input") self.__input_attr.addListener(self.inputReceived) self.__record_data_attr = self.getAttribute('RecordData') self.__record_data_attr.addListener(self.recordDataReceived) self.__macro_status_attr = self.getAttribute('MacroStatus') self.__macro_status_attr.addListener(self.macroStatusReceived) self._experiment_configuration = ExperimentConfiguration(self) def create_input_handler(self): return BaseInputHandler() def get_input_handler(self): return self._input_handler def get_color_mode(self): return "NoColor" # def macrosChanged(self, s, v, t): # pass @property def log_start(self): if not hasattr(self, "_log_start"): import taurus.core.util.console if self.get_color_mode() == "NoColor": kls = taurus.core.util.console.NoColors else: kls = taurus.core.util.console.TermColors self._log_start = {BaseDoor.Critical: kls.LightRed, BaseDoor.Error: kls.Red, BaseDoor.Info: kls.LightBlue, BaseDoor.Warning: kls.Brown, BaseDoor.Output: kls.Normal, BaseDoor.Debug: kls.DarkGray, BaseDoor.Result: kls.LightGreen} return self._log_start @property def log_stop(self): if not hasattr(self, "_log_stop"): import taurus.core.util.console if self.get_color_mode() == "NoColor": kls = taurus.core.util.console.NoColors else: kls = taurus.core.util.console.TermColors self._log_stop = {BaseDoor.Critical: kls.Normal, BaseDoor.Error: kls.Normal, BaseDoor.Info: kls.Normal, BaseDoor.Warning: kls.Normal, BaseDoor.Output: kls.Normal, BaseDoor.Debug: kls.Normal, BaseDoor.Result: kls.Normal} return self._log_stop def getStateAttr(self): return self._state_attr @property def macro_server(self): if self._macro_server is None: self._macro_server = self._get_macroserver_for_door() return self._macro_server def _get_macroserver_for_door(self): """Returns the MacroServer device object in the same DeviceServer as this door""" db = self.factory().getDatabase() door_name = self.dev_name() server_list = list(db.get_server_list('MacroServer/*')) server_list += list(db.get_server_list('Sardana/*')) server_devs = None for server in server_list: server_devs = db.get_device_class_list(server) devs, klasses = server_devs[0::2], server_devs[1::2] for dev in devs: if dev.lower() == door_name: for i, klass in enumerate(klasses): if klass == 'MacroServer': return self.factory().getDevice(devs[i]) else: return None def setDebugMode(self, state): self._debug = state def getDebugMode(self): return self._debug def setSilent(self, yesno): self._silent = yesno def isSilent(self): return self._silent def getLogObj(self, log_name='Debug'): return self._log_attr.get(log_name, None) def getRunningXML(self): return self._user_xml def getRunningMacro(self): return self._running_macro def getLastRunningMacro(self): return self._last_running_macro def abort(self, synch=True): if not synch: self.command_inout("AbortMacro") return evt_wait = AttributeEventWait(self.getAttribute("state")) evt_wait.lock() try: time_stamp = time.time() self.command_inout("AbortMacro") evt_wait.waitEvent(self.Running, equal=False, after=time_stamp, timeout=self.InteractiveTimeout) finally: evt_wait.unlock() evt_wait.disconnect() def stop(self, synch=True): if not synch: self.command_inout("StopMacro") return evt_wait = AttributeEventWait(self.getAttribute("state")) evt_wait.lock() try: time_stamp = time.time() self.command_inout("StopMacro") evt_wait.waitEvent(self.Running, equal=False, after=time_stamp, timeout=self.InteractiveTimeout) finally: evt_wait.unlock() evt_wait.disconnect() def _clearRunMacro(self): # Clear the log buffer list(map(LogAttr.clearLogBuffer, list(self._log_attr.values()))) self._running_macros = None self._running_macro = None self._user_xml = None self._block_lines = 0 def _createMacroXml(self, macro_name, macro_params): """Creation of the macro XML object. :param macro_name: (str) macro name :param macro_params: (sequence[str]) list of parameter values, if repeat parameters are used parameter values may be sequences itself. :return (lxml.etree._Element) macro XML element """ macro_info = self.macro_server.getMacroInfoObj(macro_name) params_def = macro_info.parameters macro_node = createMacroNode(macro_name, params_def, macro_params) return macro_node.toXml() def preRunMacro(self, obj, parameters): self._clearRunMacro() xml_root = None if isinstance(obj, str): if obj.startswith('<') and not parameters: xml_root = etree.fromstring(obj) else: macros = [] if len(parameters) == 0: macros_strs = obj.split('\n') for m in macros_strs: pars = m.split() macros.append((pars[0], pars[1:])) else: parameters = recur_map(str, parameters) macros.append((obj, parameters)) xml_root = xml_seq = etree.Element('sequence') for m in macros: macro_name = m[0] macro_params = m[1] xml_macro = self._createMacroXml(macro_name, macro_params) xml_macro.set('id', str(uuid.uuid1())) xml_seq.append(xml_macro) elif etree.iselement(obj): xml_root = obj else: raise TypeError('obj must be a string or a etree.Element') self._running_macros = {} for macro_xml in xml_root.xpath('//macro'): id, name = macro_xml.get('id'), macro_xml.get('name') self._running_macros[id] = Macro(self, name, id, macro_xml) return xml_root def postRunMacro(self, result, synch): pass def runMacro(self, obj, parameters=[], synch=False): self._user_xml = self.preRunMacro(obj, parameters) result = self._runMacro(self._user_xml, synch=synch) return self.postRunMacro(result, synch) def _runMacro(self, xml, synch=False): if not synch: return self.command_inout("RunMacro", [etree.tostring(xml, encoding='unicode')]) timeout = self.InteractiveTimeout evt_wait = self._getEventWait() evt_wait.connect(self.getAttribute("state")) evt_wait.lock() try: evt_wait.waitEvent(self.Running, equal=False, timeout=timeout) # Clear event set to not confuse the value coming from the # connection with the event of of end of the macro execution # in the next wait event. This was observed on Windows where # the time stamp resolution is not better than 1 ms. evt_wait.clearEventSet() ts = time.time() result = self.command_inout("RunMacro", [etree.tostring(xml, encoding='unicode')]) evt_wait.waitEvent(self.Running, after=ts, timeout=timeout) if synch: evt_wait.waitEvent(self.Running, equal=False, after=ts, timeout=timeout) finally: self._clearRunMacro() evt_wait.unlock() evt_wait.disconnect() return result def stateChanged(self, s, t, v): # In contrary to the Taurus3 the Taurus4 raises exceptions when the # device server is getting down and we try to retrieve the state. # In this case provide the same behavior as Taurus3 - assign None to # the old state try: self._old_door_state = self.stateObj.rvalue except PyTango.DevFailed: self._old_door_state = None self._old_sw_door_state = self.state def resultReceived(self, log_name, result): """Method invoked by the arrival of a change event on the Result attribute""" if self._ignore_logs or self._running_macro is None: return self._running_macro.setResult(result) return result def putEnvironment(self, name, value): self.macro_server.putEnvironment(name, value) def putEnvironments(self, obj): self.macro_server.putEnvironments(obj) setEnvironment = putEnvironment setEnvironments = putEnvironments def getEnvironment(self, name=None): return self.macro_server.getEnvironment(name=name) def inputReceived(self, s, t, v): if t not in CHANGE_EVT_TYPES: return if v is None or self._running_macros is None: return input_data = CodecFactory().decode(('json', v.value)) self.processInput(input_data) def processInput(self, input_data): TaurusManager().addJob(self._processInput, None, input_data) def _processInput(self, input_data): input_type = input_data['type'] if input_type == 'input': result = self._input_handler.input(input_data) if result['input'] is '' and 'default_value' in input_data: result['input'] = input_data['default_value'] result = CodecFactory().encode('json', ('', result))[1] self.write_attribute('Input', result) elif input_type == 'timeout': self._input_handler.input_timeout(input_data) def recordDataReceived(self, s, t, v): if t not in CHANGE_EVT_TYPES: return return self._processRecordData(v) def _processRecordData(self, data): if data is None or data.rvalue is None: return data = data.rvalue size = len(data[1]) if size == 0: return format = data[0] codec = CodecFactory().getCodec(format) data = codec.decode(data) return data def processRecordData(self, data): pass def macroStatusReceived(self, s, t, v): if v is None or self._running_macros is None: return if t not in CHANGE_EVT_TYPES: return v = v.value if not len(v[1]): return format = v[0] codec = CodecFactory().getCodec(format) fmt, data = codec.decode(v) for macro_status in data: id = macro_status.get('id') macro = self._running_macros.get(id) self._last_running_macro = self._running_macro = macro # if we don't have the ID it's because the macro is running a # submacro or another client is connected to the same door (shame # on him!) and executing a macro we discard this event if macro is not None: macro.__dict__.update(macro_status) return data def logReceived(self, log_name, output): max_chrs = _get_console_width() if not output or self._silent or self._ignore_logs: return if log_name == self.Debug and not self._debug: return o = self.log_start[log_name] for line in output: if not self._debug: if line == self.BlockStart: self._in_block = True for i in range(self._block_lines): if max_chrs == float('inf'): nb_lines = 1 else: nb_lines = _get_nb_lines( self._len_last_data_line, max_chrs) # per each line: erase current line, # go up one line and erase current line o += '\x1b[2K\x1b[1A\x1b[2K' * nb_lines self._block_lines = 0 continue elif line == self.BlockFinish: self._in_block = False continue else: self._len_last_data_line = len(line) if self._in_block: self._block_lines += 1 else: self._block_lines = 0 o += "%s\n" % line o += self.log_stop[log_name] self.write(o) def write(self, msg, stream=None): if self.isSilent(): return self._output_stream = sys.stdout out = self._output_stream if stream is not None: start, stop = self.log_start.get(stream), self.log_stop.get(stream) if start is not None and stop is not None: out.write(start) out.write(msg) out.write(stop) out.flush() return out.write(msg) out.flush() def writeln(self, msg='', stream=None): self.write("%s\n" % msg, stream=stream) def getExperimentConfigurationObj(self): return self._experiment_configuration def getExperimentConfiguration(self): return self._experiment_configuration.get() def setExperimentConfiguration(self, config, mnt_grps=None): self._experiment_configuration.set(config, mnt_grps=mnt_grps) class UnknownMacroServerElementFormat(Exception): pass class MacroPath(object): def __init__(self, ms): self._ms = weakref.ref(ms) self.refresh() def refresh(self): self.macro_path = mp = self._ms().get_property("MacroPath")[ "MacroPath"] self.base_macro_path = osp.commonprefix(self.macro_path) self.rel_macro_path = [osp.relpath for p in (mp, self.base_macro_path)] class Environment(dict): def __init__(self, macro_server): dict.__setattr__(self, "_macro_server_", weakref.ref(macro_server)) def __setattr__(self, key, value): ms = self._macro_server_() if ms is not None: ms.putEnvironment(key, value) def __getattr__(self, key): return self[key] def __delattr__(self, key): ms = self._macro_server_() if ms is not None: ms.removeEnvironment(key) def __dir__(self): return [key for key in list(self.keys()) if not key.startswith("_")] class BaseMacroServer(MacroServerDevice): """Class encapsulating Macro Server device functionality.""" def __init__(self, name, **kw): self._env = Environment(self) self._elements = BaseSardanaElementContainer() self.call__init__(MacroServerDevice, name, **kw) self.__elems_attr = self.getAttribute("Elements") try: serialization_mode = TaurusSerializationMode.TangoSerial except AttributeError: serialization_mode = TaurusSerializationMode.Serial self.__elems_attr.setSerializationMode(serialization_mode) self.__elems_attr.addListener(self.on_elements_changed) self.__elems_attr.setSerializationMode( TaurusSerializationMode.Concurrent) self.__env_attr = self.getAttribute('Environment') try: serialization_mode = TaurusSerializationMode.TangoSerial except AttributeError: serialization_mode = TaurusSerializationMode.Serial self.__env_attr.setSerializationMode(serialization_mode) self.__env_attr.addListener(self.on_environment_changed) self.__env_attr.setSerializationMode( TaurusSerializationMode.Concurrent) NO_CLASS_TYPES = 'ControllerClass', 'ControllerLibrary', \ 'MacroLibrary', 'Instrument', 'Meta', 'ParameterType' def on_environment_changed(self, evt_src, evt_type, evt_value): try: return self._on_environment_changed(evt_src, evt_type, evt_value) except Exception: self.error("Exception occurred processing environment") self.error("Details:", exc_info=1) return set(), set(), set() def _on_environment_changed(self, evt_src, evt_type, evt_value): ret = added, removed, changed = set(), set(), set() if evt_type not in CHANGE_EVT_TYPES: return ret env = CodecFactory().decode(evt_value.rvalue) for key, value in list(env.get('new', {}).items()): self._addEnvironment(key, value) added.add(key) for key in env.get('del', []): self._removeEnvironment(key) removed.add(key) for key, value in list(env.get('change', {}).items()): self._removeEnvironment(key) self._addEnvironment(key, value) changed.add(key) return ret def _addEnvironment(self, key, value): self._env[key] = value def _removeEnvironment(self, key): try: self._env.pop(key) except KeyError: pass def putEnvironment(self, name, value): self.putEnvironments({name: value}) def putEnvironments(self, obj): obj = dict(new=obj) codec = CodecFactory().getCodec('pickle') self.write_attribute('Environment', codec.encode(('', obj))) setEnvironment = putEnvironment setEnvironments = putEnvironments def getEnvironment(self, name=None): if name is None: return self._env else: return self._env[name] def removeEnvironment(self, key): keys = key, return self.removeEnvironments(keys) def removeEnvironments(self, keys): obj = {'del': keys} codec = CodecFactory().getCodec('pickle') self.write_attribute('Environment', codec.encode(('', obj))) def getObject(self, element_info): elem_type = element_info.getType() if elem_type in self.NO_CLASS_TYPES: obj = object() elif "MacroCode" in element_info.interfaces: obj = self._createMacroClassObject(element_info) else: obj = self._createDeviceObject(element_info) return obj def _createMacroClassObject(self, element_info): return MacroInfo(from_json=element_info._data) def _createDeviceObject(self, element_info): return Factory().getDevice(element_info.full_name) def on_elements_changed(self, evt_src, evt_type, evt_value): try: return self._on_elements_changed(evt_src, evt_type, evt_value) except Exception: self.error("Exception occurred processing elements") self.error("Details:", exc_info=1) return set(), set(), set() def _on_elements_changed(self, evt_src, evt_type, evt_value): ret = added, removed, changed = set(), set(), set() if evt_type not in CHANGE_EVT_TYPES: return ret try: elems = CodecFactory().decode(evt_value.rvalue) except: self.error("Could not decode element info format=%s len=%s", evt_value.rvalue[0], len(evt_value.rvalue[1])) return ret for element_data in elems.get('new', ()): element_data['manager'] = self element = self._addElement(element_data) added.add(element) for element_data in elems.get('del', ()): element = self._removeElement(element_data) removed.add(element) for element_data in elems.get('change', ()): element = self._removeElement(element_data) element_data['manager'] = self element = self._addElement(element_data) changed.add(element) return ret def _addElement(self, element_data): element = BaseSardanaElement(**element_data) self.getElementsInfo().addElement(element) return element def _removeElement(self, element_data): full_name = element_data['full_name'] element = self.getElementInfo(full_name) self.getElementsInfo().removeElement(element) return element def getElementsInfo(self): return self._elements def getElements(self): return self.getElementsInfo().getElements() def getElementInfo(self, name): return self.getElementsInfo().getElement(name) def getElementNamesOfType(self, elem_type): return self.getElementsInfo().getElementNamesOfType(elem_type) def getElementNamesWithInterface(self, interface): return self.getElementsInfo().getElementNamesWithInterface(interface) def getElementsWithInterface(self, interface): return self.getElementsInfo().getElementsWithInterface(interface) def getElementsWithInterfaces(self, interfaces): return self.getElementsInfo().getElementsWithInterfaces(interfaces) def getElementsOfType(self, elem_type): return self.getElementsInfo().getElementsOfType(elem_type) def getElementsOfTypes(self, elem_types): elems = CaselessDict() for elem_type in elem_types: elems.update(self.getElementsOfType(elem_type)) return elems def getInterfaces(self): return self.getElementsInfo().getInterfaces() def getExpChannelElements(self): channel_types = "CTExpChannel", "ZeroDExpChannel", "OneDExpChannel", \ "TwoDExpChannel", "PseudoCounter" return self.getElementsOfTypes(channel_types) # -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~- # Macro API # -~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~- def getMacros(self): iname = 'MacroCode' return dict(self.getElementsInfo().getElementsWithInterface(iname)) def getMacroInfoObj(self, macro_name): iname = 'MacroCode' return self.getElementsInfo().getElementWithInterface(macro_name, iname) def getMacroStrList(self): return self.getElementNamesWithInterface('MacroCode') def getMacroNodeObj(self, macro_name): """ This method retrieves information about macro from MacroServer and creates MacroNode object, filled with all information about parameters. :param macro_name: (str) macro name :return: (MacroNode) See Also: fillMacroNodeAddidtionalInfos """ macroInfoObj = self.getMacroInfoObj(macro_name) if macroInfoObj is None: return # fill macro parameters paramsInfo = macroInfoObj.parameters macroNode = MacroNode(name=macro_name, params_def=paramsInfo) hasParams = bool(len(paramsInfo)) macroNode.setHasParams(hasParams) # fill allowed hook places allowedHookPlaces = [] hints = macroInfoObj.hints if hints is not None: for hook in hints.get('allowsHooks', []): allowedHookPlaces.append(str(hook)) macroNode.setAllowedHookPlaces(allowedHookPlaces) return macroNode def validateMacroName(self, macroName): macroInfo = self.getElementInfo(macroName) if macroInfo is None: raise Exception( "%s macro does not exist in this sardana system." % macroName) elif macroInfo.type != 'MacroClass': raise Exception("%s element is not a macro." % macroName) return True def validateMacroNode(self, macroNode): paramNodes = macroNode.children() for paramNode in paramNodes: self.validateParamNode(paramNode) return True def validateParamNode(self, paramNode): assert isinstance(paramNode, ParamNode) if isinstance(paramNode, SingleParamNode): self.validateSingleParam(paramNode) else: self.validateRepeatParam(paramNode) return True def validateSingleParam(self, singleParamNode): name = singleParamNode.name() type = singleParamNode.type() value = singleParamNode.value() if type == "Boolean": pass elif type == "Env": pass elif type == "File": pass elif type == "Filename": pass elif type == "MotorParam": pass elif type == "String": pass elif type == "User": pass elif type == "MotorParam": pass elif type == "Integer": int(value) min = singleParamNode.min() max = singleParamNode.max() if min is not None and value < min: raise Exception( "%s parameter value: %s is below minimum allowed value." % (name, value)) if max is not None and value > max: raise Exception( "%s parameter value: %s is above maximum allowed value." % (name, value)) elif type == "Float": float(value) min = singleParamNode.min() max = singleParamNode.max() if min is not None and value < min: raise Exception( "%s parameter value: %s is below minimum allowed value." % (name, value)) if max is not None and value > max: raise Exception( "%s parameter value: %s is above maximum allowed value." % (name, value)) else: allowedInterfaces = list(self.getInterfaces().keys()) if type not in allowedInterfaces: raise Exception( "No element with %s interface exist in this sardana " "system." % type) allowedValues = self.getElementNamesWithInterface(type) if value not in allowedValues: raise Exception( "%s element with %s interface does not exist in this " "sardana system." % (value, type)) return True def validateRepeatParam(self, repeatParamNode): paramName = repeatParamNode.name() if repeatParamNode.isBelowMin(): raise Exception( "%s param repeats has not enough repeats." % (paramName)) if repeatParamNode.isAboveMax(): raise Exception( "%s param repeat has too many repeats." % (paramName)) repetitions = repeatParamNode.children() for repeat in repetitions: params = repeat.children() for param in params: if isinstance(param, SingleParamNode): self.validateSingleParam(param) else: self.validateRepeatParam(param) return True def fillMacroNodeAdditionalInfos(self, macroNode): """ This method fills macroNode information which couldn't be stored in XML file. :param macroNode: (MacroNode) macro node obj populated from XML information See also: getMacroNodeObj """ macroName = macroNode.name() macroInfoObj = self.getMacroInfoObj(macroName) if macroInfoObj is None: msg = "It was not possible to get information about {0} " \ "macro. Check if MacroServer is alive and if this macro " \ "exist.".format(macroName) self.info(msg) raise Exception("no info about macro {0}".format(macroName)) allowedHookPlaces = [] hints = macroInfoObj.hints or {} for hook in hints.get("allowsHooks", []): allowedHookPlaces.append(str(hook)) macroNode.setAllowedHookPlaces(allowedHookPlaces) hasParams = macroInfoObj.hasParams() macroNode.setHasParams(hasParams) if hasParams: paramList = macroInfoObj.getParamList() for paramNode, paramInfo in zip(macroNode.params(), paramList): self.__fillParamNodeAdditionalInfos(paramNode, paramInfo) def __fillParamNodeAdditionalInfos(self, paramNode, paramInfo): """ This is a protected method foreseen to use only internally by fillMacroNodeAdditionaInfos, to be called for every param node obj.""" type = paramInfo.get('type') paramNode.setDescription(str(paramInfo.get("description"))) min = paramInfo.get("min") paramNode.setMin(min) max = paramInfo.get("max") paramNode.setMax(max) if isinstance(type, list): paramNode.setParamsInfo(type) for repeatNode in paramNode.children(): for internalParamNode, internalParamInfo in zip( repeatNode.children(), type): self.__fillParamNodeAdditionalInfos( internalParamNode, internalParamInfo) else: paramNode.setType(str(type)) paramNode.setDefValue(str(paramInfo.get("default_value"))) def __fillParamNodesValues(self, paramInfo, paramNode): """ This is a protected method foreseen to use only internally by __fillParamNodesValues, to be called for every param node obj. :param paramInfo, paramNode: :return: """ paramType = paramInfo.get('type') paramNode.setDescription(str(paramInfo.get("description"))) min = paramInfo.get("min") paramNode.setMin(min) max = paramInfo.get("max") paramNode.setMax(max) paramNode.setName(paramInfo['name']) if isinstance(paramType, list): for repeatNode in paramNode.children(): children = repeatNode.children() for child, paramT in zip_longest(children, paramType): if child is None: node = ParamFactory(paramT, repeatNode) repeatNode.insertChild(node) else: self.__fillParamNodesValues(paramT, child) else: paramNode.setType(str(paramType)) paramNode.setDefValue(str(paramInfo.get("default_value"))) def printTree(self, nodes, tabs=0): tabs = tabs + 1 for node in nodes: print(('\t'*tabs) + str(type(node)) + str(node)) if isinstance(node, SingleParamNode): pass else: nodes = node.children() self.printTree(nodes, tabs) def __recreateParamNodeAdditionalInfos(self, paramNode, paramInfo): """ This is a protected method foreseen to use only internally by fillMacroNodeAdditionaInfos, to be called for every param node obj.""" paramType = paramInfo.get('type') min = paramInfo.get("min") max = paramInfo.get("max") paramNode.setMin(min) paramNode.setMax(max) paramNode.setDescription(str(paramInfo.get("description"))) if isinstance(paramType, list): paramNode.setParamsInfo(paramType) for repeatNode in paramNode.children(): for internalParamNode, internalParamInfo in zip( repeatNode.children(), paramType): self.__recreateParamNodeAdditionalInfos( internalParamNode, internalParamInfo) else: paramNode.setType(paramType) paramNode.setDefValue(str(paramInfo.get("default_value"))) def getMacroPathObj(self, cache=False): if not hasattr(self, "_macro_path"): self._macro_path = MacroPath(self) elif not cache: self._macro_path.refresh() return self._macro_path def registerExtensions(): """Registers the macroserver extensions in the :class:`taurus.core.tango.TangoFactory`""" factory = Factory('tango') factory.registerDeviceClass('MacroServer', BaseMacroServer) factory.registerDeviceClass('Door', BaseDoor) def unregisterExtensions(): """Registers the macroserver extensions in the :class:`taurus.core.tango.TangoFactory`""" factory = Factory('tango') factory.unregisterDeviceClass('MacroServer') factory.unregisterDeviceClass('Door')

36.085106

79

0.595453

37e4e76f9340b0eb091e5620895c2a0a1b725ced

1,938

py

Python

reader/image_consumer.py

Commin/SINETStream-videostreaming

ca64d229697c7f939156b3d014c13af67a20d2e6

[ "Apache-2.0" ]

1

2021-02-14T04:23:35.000Z

reader/image_consumer.py

Commin/SINETStream-videostreaming

ca64d229697c7f939156b3d014c13af67a20d2e6

[ "Apache-2.0" ]

null

reader/image_consumer.py

Commin/SINETStream-videostreaming

ca64d229697c7f939156b3d014c13af67a20d2e6

[ "Apache-2.0" ]

1

2021-01-21T05:06:53.000Z

#!/usr/bin/env python3 # Copyright (C) 2020 National Institute of Informatics # # 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. import logging from argparse import ArgumentParser import os import cv2 from sinetstream import MessageReader logging.basicConfig(level=logging.INFO) def consumer(service, output): with MessageReader(service, value_type='image') as reader: for message in reader: if show_image(message): break if output != None: cv2.imwrite(output, message.value) print("Write file.") def show_image(message): window_name = message.topic image = message.value cv2.imshow(window_name, image) # Hit 'q' to stop return cv2.waitKey(25) & 0xFF == ord("q") if __name__ == '__main__': parser = ArgumentParser(description="SINETStream Consumer") parser.add_argument("-s", "--service", metavar="SERVICE_NAME", required=True) parser.add_argument("-o", "--output", metavar="OUTPUT_FILE_NAME", default=None) args = parser.parse_args() print(f": service={args.service}") try: consumer(args.service, args.output) except KeyboardInterrupt: pass

31.258065

83

0.707946

54827a07e265b6f4ebe09cba9578197d6214fe1a

94

py

Python

inbm/telemetry-agent/telemetry/__init__.py

ahameedx/intel-inb-manageability

aca445fa4cef0b608e6e88e74476547e10c06073

[ "Apache-2.0" ]

5

2021-12-13T21:19:31.000Z

2022-01-18T18:29:43.000Z

inbm/telemetry-agent/telemetry/__init__.py

ahameedx/intel-inb-manageability

aca445fa4cef0b608e6e88e74476547e10c06073

[ "Apache-2.0" ]

45

2021-12-30T17:21:09.000Z

2022-03-29T22:47:32.000Z

inbm/telemetry-agent/telemetry/__init__.py

ahameedx/intel-inb-manageability

aca445fa4cef0b608e6e88e74476547e10c06073

[ "Apache-2.0" ]

4

2022-01-26T17:42:54.000Z

2022-03-30T04:48:04.000Z

18.8

45

0.670213

c4c87550b2f0f6db9984b33d9b95ef201d64242e

1,272

py

Python

pre_commit_hooks/generic_crlf_remove.py

beyse/pre-commit-hooks

249c3329da8734afa49629b66a192e0fb264399e

[ "MIT" ]

3

2022-01-06T02:53:57.000Z

2022-02-22T22:12:53.000Z

hooks/python/generic_crlf_remove.py

jphppd/pre-commit-hooks

8acd752a70690be39e60f811958b71a18709ec16

[ "MIT" ]

null

hooks/python/generic_crlf_remove.py

jphppd/pre-commit-hooks

8acd752a70690be39e60f811958b71a18709ec16

[ "MIT" ]

1

2022-03-11T15:11:18.000Z

import argparse import sys def contains_crlf(filename): with open(filename, mode='rb') as file_checked: for line in file_checked.readlines(): if line.endswith(b'\r\n'): return True return False def removes_crlf_in_file(filename): with open(filename, mode='rb') as file_processed: lines = file_processed.readlines() lines = [line.replace(b'\r\n', b'\n') for line in lines] with open(filename, mode='wb') as file_processed: for line in lines: file_processed.write(line) def main(argv=None): parser = argparse.ArgumentParser() parser.add_argument('filenames', nargs='*', help='filenames to check') args = parser.parse_args(argv) files_with_crlf = list(filter(contains_crlf, args.filenames)) for file_with_crlf in files_with_crlf: print('Removing CRLF end-lines in: {}'.format(file_with_crlf)) removes_crlf_in_file(file_with_crlf) if files_with_crlf: print('') print('CRLF end-lines have been successfully removed. Now aborting the commit.') print('You can check the changes made. Then simply "git add --update ." and re-commit') return 1 return 0 if __name__ == '__main__': sys.exit(main(sys.argv[1:]))

31.8

95

0.662736

6f4024ea80751856de1352ad99d6cf9a8cac3c60

2,701

py

Python

chroma/g4daenode/daesubtree.py

NuTufts/chroma_lartpc

ea6d1a62d22eeeaac069efdef1068a56be683fcc

[ "BSD-3-Clause" ]

null

chroma/g4daenode/daesubtree.py

NuTufts/chroma_lartpc

ea6d1a62d22eeeaac069efdef1068a56be683fcc

[ "BSD-3-Clause" ]

null

chroma/g4daenode/daesubtree.py

NuTufts/chroma_lartpc

ea6d1a62d22eeeaac069efdef1068a56be683fcc

[ "BSD-3-Clause" ]

null

import collada class DAESubTree(list): """ Flattens all or part of a tree of nodes into this list. Only requires node instances to have a children attribute which lists other nodes. The list is composed of either: #. a string representation of the node #. a tuple of (node, depth, sibdex, indent) """ def __init__(self, top, maxdepth=-1, text=True, maxsibling = 5): """ :param top: root node instance such as `DAENode` :param maxdepth: integer maximum recursion depth, default of -1 for unlimited :param text: when True makes makes list-of-strings representation of tree, otherwise make list of tuples incoporating the node in first slot of each tuple :param maxsibling: siblings are skipped when the number of children of a node exceeds 2*maxsibling, the first and last `maxsiblings` are incorporated into this list """ list.__init__(self) self.maxdepth = maxdepth self.text = text self.cut = maxsibling self( top ) __str__ = lambda _:"\n".join(_) def __call__(self, node, depth=0, sibdex=-1, nsibling=-1 ): """ :param node: :param depth: :param sibdex: sibling index from 0:nsibling-1 :param nsibling: """ if not hasattr(node,'children'): nchildren = 0 else: nchildren = len(node.children) pass elided = type(node) == str indent = " " * depth # done here as difficult to do in a webpy template if self.text: if elided: obj = "..." else: nodelabel = "%-2d %-5d %-3d" % (depth, node.index, nchildren ) obj = "[%s] %s %3d/%3d : %s " % (nodelabel, indent, sibdex, nsibling, node) else: obj = (node, depth, sibdex, indent) pass self.append( obj ) if nchildren == 0:# leaf pass else: if depth == self.maxdepth: pass else: shorten = nchildren > self.cut*2 for sibdex, child in enumerate(node.children): if shorten: if sibdex < self.cut or sibdex > nchildren - self.cut: pass elif sibdex == self.cut: child = "..." else: continue pass self(child, depth + 1, sibdex, nchildren )

35.077922

92

0.500555

1fb70c0fab9c4f2f0e6676ad0301943a87030503

14,707

py

Python

espnet/bin/asr_recog.py

Hertin/espnet

a0f2175df08b4750a9f0305c20b8c11f6e941867

[ "Apache-2.0" ]

null

espnet/bin/asr_recog.py

Hertin/espnet

a0f2175df08b4750a9f0305c20b8c11f6e941867

[ "Apache-2.0" ]

null

espnet/bin/asr_recog.py

Hertin/espnet

a0f2175df08b4750a9f0305c20b8c11f6e941867

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # encoding: utf-8 # Copyright 2017 Johns Hopkins University (Shinji Watanabe) # Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0) """End-to-end speech recognition model decoding script.""" import configargparse import logging import os import random import sys import yaml import numpy as np from espnet.utils.cli_utils import strtobool # NOTE: you need this func to generate our sphinx doc def get_parser(): """Get default arguments.""" parser = configargparse.ArgumentParser( description="Transcribe text from speech using " "a speech recognition model on one CPU or GPU", config_file_parser_class=configargparse.YAMLConfigFileParser, formatter_class=configargparse.ArgumentDefaultsHelpFormatter, ) # general configuration parser.add("--config", is_config_file=True, help="Config file path") parser.add("--train-langs", action="append", help="training languages") parser.add( "--config2", is_config_file=True, help="Second config file path that overwrites the settings in `--config`", ) parser.add( "--config3", is_config_file=True, help="Third config file path that overwrites the settings " "in `--config` and `--config2`", ) parser.add_argument("--ngpu", type=int, default=0, help="Number of GPUs") parser.add_argument( "--dtype", choices=("float16", "float32", "float64"), default="float32", help="Float precision (only available in --api v2)", ) parser.add_argument( "--backend", type=str, default="chainer", choices=["chainer", "pytorch"], help="Backend library", ) parser.add_argument("--debugmode", type=int, default=1, help="Debugmode") parser.add_argument("--seed", type=int, default=1, help="Random seed") parser.add_argument("--verbose", "-V", type=int, default=1, help="Verbose option") parser.add_argument( "--batchsize", type=int, default=1, help="Batch size for beam search (0: means no batch processing)", ) parser.add_argument( "--preprocess-conf", type=str, default=None, help="The configuration file for the pre-processing", ) parser.add_argument( "--api", default="v1", choices=["v1", "v2"], help="Beam search APIs " "v1: Default API. It only supports the ASRInterface.recognize method " "and DefaultRNNLM. " "v2: Experimental API. It supports any models that implements ScorerInterface.", ) # task related parser.add_argument( "--recog-json", type=str, help="Filename of recognition data (json)" ) parser.add_argument( "--result-label", type=str, required=True, help="Filename of result label data (json)", ) # model (parameter) related parser.add_argument( "--model", type=str, required=True, help="Model file parameters to read" ) parser.add_argument( "--model-conf", type=str, default=None, help="Model config file" ) parser.add_argument( "--num-spkrs", type=int, default=1, choices=[1, 2], help="Number of speakers in the speech", ) parser.add_argument( "--num-encs", default=1, type=int, help="Number of encoders in the model." ) # search related parser.add_argument("--nbest", type=int, default=1, help="Output N-best hypotheses") parser.add_argument("--beam-size", type=int, default=1, help="Beam size") parser.add_argument("--penalty", type=float, default=0.0, help="Incertion penalty") parser.add_argument( "--maxlenratio", type=float, default=0.0, help="""Input length ratio to obtain max output length. If maxlenratio=0.0 (default), it uses a end-detect function to automatically find maximum hypothesis lengths""", ) parser.add_argument( "--minlenratio", type=float, default=0.0, help="Input length ratio to obtain min output length", ) parser.add_argument( "--ctc-weight", type=float, default=0.0, help="CTC weight in joint decoding" ) parser.add_argument( "--weights-ctc-dec", type=float, action="append", help="ctc weight assigned to each encoder during decoding." "[in multi-encoder mode only]", ) parser.add_argument( "--ctc-window-margin", type=int, default=0, help="""Use CTC window with margin parameter to accelerate CTC/attention decoding especially on GPU. Smaller magin makes decoding faster, but may increase search errors. If margin=0 (default), this function is disabled""", ) # transducer related parser.add_argument( "--score-norm-transducer", type=strtobool, nargs="?", default=True, help="Normalize transducer scores by length", ) parser.add_argument( "--search-type", type=str, default="default", choices=["default", "nsc", "tsd", "alsd"], help="""Type of beam search implementation to use during inference. Can be either: default beam search, n-step constrained beam search ("nsc"), time-synchronous decoding ("tsd") or alignment-length synchronous decoding ("alsd"). Additional associated parameters: "nstep" + "prefix-alpha" (for nsc), "max-sym-exp" (for tsd) and "u-max" (for alsd)""", ) parser.add_argument( "--nstep", type=int, default=1, help="Number of expansion steps allowed in NSC beam search.", ) parser.add_argument( "--prefix-alpha", type=int, default=2, help="Length prefix difference allowed in NSC beam search.", ) parser.add_argument( "--max-sym-exp", type=int, default=2, help="Number of symbol expansions allowed in TSD decoding.", ) parser.add_argument( "--u-max", type=int, default=400, help="Length prefix difference allowed in ALSD beam search.", ) parser.add_argument( "--score-norm", type=strtobool, nargs="?", default=True, help="Normalize transducer scores by length", ) # rnnlm related parser.add_argument( "--rnnlm", type=str, default=None, help="RNNLM model file to read" ) parser.add_argument( "--rnnlm-conf", type=str, default=None, help="RNNLM model config file to read" ) parser.add_argument( "--word-rnnlm", type=str, default=None, help="Word RNNLM model file to read" ) parser.add_argument( "--word-rnnlm-conf", type=str, default=None, help="Word RNNLM model config file to read", ) parser.add_argument("--word-dict", type=str, default=None, help="Word list to read") parser.add_argument("--lm-weight", type=float, default=0.1, help="RNNLM weight") # ngram related parser.add_argument( "--ngram-model", type=str, default=None, help="ngram model file to read" ) parser.add_argument("--ngram-weight", type=float, default=0.1, help="ngram weight") parser.add_argument( "--ngram-scorer", type=str, default="part", choices=("full", "part"), help="""if the ngram is set as a part scorer, similar with CTC scorer, ngram scorer only scores topK hypethesis. if the ngram is set as full scorer, ngram scorer scores all hypthesis the decoding speed of part scorer is musch faster than full one""", ) # streaming related parser.add_argument( "--streaming-mode", type=str, default=None, choices=["window", "segment"], help="""Use streaming recognizer for inference. `--batchsize` must be set to 0 to enable this mode""", ) parser.add_argument("--streaming-window", type=int, default=10, help="Window size") parser.add_argument( "--streaming-min-blank-dur", type=int, default=10, help="Minimum blank duration threshold", ) parser.add_argument( "--streaming-onset-margin", type=int, default=1, help="Onset margin" ) parser.add_argument( "--streaming-offset-margin", type=int, default=1, help="Offset margin" ) # non-autoregressive related # Mask CTC related. See https://arxiv.org/abs/2005.08700 for the detail. parser.add_argument( "--maskctc-n-iterations", type=int, default=10, help="Number of decoding iterations." "For Mask CTC, set 0 to predict 1 mask/iter.", ) parser.add_argument( "--maskctc-probability-threshold", type=float, default=0.999, help="Threshold probability for CTC output", ) parser.add_argument( "--recog-function", type=str, default="recog", help="Recognition function" ) parser.add_argument( "--embedding-save-dir", type=str, default=None, help="Filename to save the neural embeddings" ) parser.add_argument( "--lang2ph", type=str, default=None, help="Filename of language to phoneme dictionary" ) parser.add_argument( "--recog-size", type=int, default=None, help="Recognition set size", ) parser.add_argument( "--mask-phoneme", type=strtobool, default=False, help="Filename of language to phoneme dictionary" ) parser.add_argument( "--lang-label", type=strtobool, default=False, help="Filename of language to phoneme dictionary" ) parser.add_argument( "--fake-lang-label", type=str, default=None, help="Filename of language to phoneme dictionary" ) parser.add_argument( "--lang-model", type=str, default=None, nargs="?", help="Filename of language to phoneme dictionary" ) parser.add_argument( "--lang-model-weight", type=float, default=0, nargs="?", help="Filename of language to phoneme dictionary" ) return parser def main(args): """Run the main decoding function.""" parser = get_parser() args = parser.parse_args(args) if args.ngpu == 0 and args.dtype == "float16": raise ValueError(f"--dtype {args.dtype} does not support the CPU backend.") # logging info if args.verbose == 1: logging.basicConfig( level=logging.INFO, format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s", ) elif args.verbose == 2: logging.basicConfig( level=logging.DEBUG, format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s", ) else: logging.basicConfig( level=logging.WARN, format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s", ) logging.warning("Skip DEBUG/INFO messages") # check CUDA_VISIBLE_DEVICES if args.ngpu > 0: cvd = os.environ.get("CUDA_VISIBLE_DEVICES") if cvd is None: logging.warning("CUDA_VISIBLE_DEVICES is not set.") elif args.ngpu != len(cvd.split(",")): logging.error("#gpus is not matched with CUDA_VISIBLE_DEVICES.") sys.exit(1) # TODO(mn5k): support of multiple GPUs if args.ngpu > 1: logging.error("The program only supports ngpu=1.") sys.exit(1) # display PYTHONPATH logging.info("python path = " + os.environ.get("PYTHONPATH", "(None)")) # seed setting random.seed(args.seed) np.random.seed(args.seed) logging.info("set random seed = %d" % args.seed) # validate rnn options if args.rnnlm is not None and args.word_rnnlm is not None: logging.error( "It seems that both --rnnlm and --word-rnnlm are specified. " "Please use either option." ) sys.exit(1) # recog logging.info("backend = " + args.backend) if args.num_spkrs == 1: if args.backend == "chainer": from espnet.asr.chainer_backend.asr import recog recog(args) elif args.backend == "pytorch": if args.num_encs == 1: # Experimental API that supports custom LMs if args.api == "v2": if args.recog_function == 'recog_ctconly': from espnet.asr.pytorch_backend.recog import recog_ctconly recog_ctconly(args) elif args.recog_function == 'recog_ctconly_lang': from espnet.asr.pytorch_backend.recog import recog_ctconly_lang recog_ctconly_lang(args) elif args.recog_function == 'recog_v2': from espnet.asr.pytorch_backend.recog import recog_v2 recog_v2(args) elif args.recog_function == 'recog_seg': logging.warning(f'recog size {args.recog_size}') from espnet.asr.pytorch_backend.recog import recog_seg recog_seg(args) else: raise NotImplementedError('Recognition function is not found.') else: from espnet.asr.pytorch_backend.asr import recog if args.dtype != "float32": raise NotImplementedError( f"`--dtype {args.dtype}` is only available with `--api v2`" ) recog(args) else: if args.api == "v2": raise NotImplementedError( f"--num-encs {args.num_encs} > 1 is not supported in --api v2" ) else: from espnet.asr.pytorch_backend.asr import recog recog(args) else: raise ValueError("Only chainer and pytorch are supported.") elif args.num_spkrs == 2: if args.backend == "pytorch": from espnet.asr.pytorch_backend.asr_mix import recog recog(args) else: raise ValueError("Only pytorch is supported.") if __name__ == "__main__": main(sys.argv[1:])

33.273756

88

0.581832

9630fe8a8dc1983a69192320430211bc9d5b41a5

9,098

py

Python

rManifolds/rUnifKnot.py

mauriciogtec/rManifolds

07e45871df5f356dca2fae16cb7769c8f865e892

[ "MIT" ]

3

2017-10-21T15:24:56.000Z

2021-07-27T20:32:20.000Z

rManifolds/rUnifKnot.py

mauriciogtec/rManifolds

07e45871df5f356dca2fae16cb7769c8f865e892

[ "MIT" ]

1

2017-10-21T15:25:48.000Z

2017-10-21T18:34:09.000Z

rManifolds/rUnifKnot.py

mauriciogtec/rManifolds

07e45871df5f356dca2fae16cb7769c8f865e892

[ "MIT" ]

3

2018-03-27T14:16:14.000Z

2021-07-27T20:32:22.000Z

import random, operator, math, spherogram, numpy class rUnifKnot(): "" def __init__(self,n,filename=""): # Author: Mauricio B. Garcia Tec. # Date: Februrary 2014. # This function generates a random knot in SnapPy using the module Spherogram # In: int n.-the number of desired random vertices. # Out: a object of type Link in SnapPy random.seed() # iniatilize random number generator self.num_components = 1 # Generation of n random vertices. const = 500 # So that the knot can be visualized in the PLink editor witout automatic scaling x = [const*random.random() for i in range(n)] y = [const*random.random() for i in range(n)] z = [const*random.random() for i in range(n)] # 1. This information shows that a knot is to be saved (a one-component link). output = '% Link Projection \n1 \n 0 0' # 2. Prints vertices information. output += '\n'+str(n) for i in range(n): output += '\n '+str(x[i])+' '+str(y[i]) # 3. Connectivity information in standard form. output += '\n'+str(n) for i in range(n): output += '\n '+ str((i+1) % n) +' '+str(i) # 1. Crossings: # CHALLENGE: change from vertex information to crossings information. # We shall add vertex by vertex, looking for crossings with the ones already added. crossinfo = [] # used for storing crossing information. A list with 6-tuples containing # (a) an edge, (b) another edge (each crossing pair appears twice) # (c) 1 if first edge goes above, -1 if second index goes above # (d) relative distance from the crossing point to the origin of the first-edge # (e) orientation of the crossing: 1 if the edge passing above is going to the right else -1 # (f) (pot) the coordinates of the point # (g) crossid (see below) crossid = 0 # an id for crossings since each crossing appears twice. # The following two will be used when printing the .lnk file under = [] # above = [] # for i in range(n): # We add the i-th edge and then check for crossings with the ones already added. We use %n% since it is a circular list. a0,b0,c0,a1,b1,c1 = x[i],y[i],z[i],x[(i+1)%n],y[(i+1)%n],z[(i+1)%n] for j in range(i-1): # Projection onto the x an y coordinates and use a parametric model to verify there is a crossing. # The formula in use comes from solving the system of two linear equations on t and u: # (x0,y0)+t(x1-x0,y1-y0) = (a0,b0)+u(a1-a0,b1-b0). # If 0 <= t,u <=1, then there is a crossing between two line segements. x0,y0,z0,x1,y1,z1 = x[j],y[j],z[j],x[(j+1)%n],y[(j+1)%n],z[(j+1)%n] A,B,C,D = a1-a0,-(x1-x0),b1-b0,-(y1-y0) det = A*D-B*C t = (D*(x0-a0)-B*(y0-b0))/det u = (-C*(x0-a0)+A*(y0-b0))/det if 0<t and t<1 and 0<u and u<1: if c0+t*(c1-c0) > z0+u*(z1-z0): aux = 1 # first index goes above. under += [j] above += [i] else: aux = -1 # second-index goes above. under += [i] above += [j] # To know whether the edge above is going to the right or to the left with respect to edge below # we will use the determinant. # convention: 1 = the above edge is to the right with respect to the edge below # -1 = the above edge is to the left with respect to the edge below coords = [x0+u*(x1-x0),y0+u*(y1-y0),z0+u*(z1-z0)] # crossing coordinates (if crossing) signum = math.copysign(1,(x1-x0)*(b1-b0)-(a1-a0)*(y1-y0)) crossinfo += [(j,i,aux,u,aux*signum,coords,crossid)] # the smaller the u, the closest it is to the vertex vec[j] crossinfo += [(i,j,-aux,t,aux*signum,coords,crossid)] # the smaller the t, the closest it is to the vertex vec[i] # Saving the t and u allows us to recreate the crossing information while going around the knot. crossid += 1 # one more crossing N = len(crossinfo) # vector length. totcross = N/2 # total number of crossings found. # We want to sort the crossings as if we were traveling the from one vertex to the next in order and going around the knot. crossinfo.sort(key=operator.itemgetter(0,3)) # (Nice stuff!). crossid = [row[6] for row in crossinfo] # we extract the crossid column for simplicit ############## # With generated knot we will I) build a .lnk file a store it there II) create an object using the spherogram module # I) Print the .lnk file for the PLink editor. output += '\n'+str(totcross) for i in range(totcross): output += '\n '+str(under[i])+' '+str(above[i]) output += '\n'+str(-1) if (filename!=""): namelen = len(filename) if (namelen >4): if (filename[(namelen-4):namelen]!=".lnk"): filename = filename + ".lnk" else: filename = filename + ".lnk" self.filename = filename try: with open(filename,'wt') as file_output: file_output.write(output) if ("/" not in filename): print('A file named "'+filename+'" was created in the current working directory.') else: print('A file in \n'+filename+'\nwas created') except ValueError: print('A file in the specified directory could not be created!') # II) Use the Spherogram module instead. crossings = [spherogram.links.links.Crossing(j) for j in range(totcross)] # to start a variable for crossing conventions # We need to mark each crossing k = 0 while k < N: # We will proceed as follows: # For each crossing in visit order (crossinfo) we will have two cases: whether the flows is going above or below. # In both cases we look at the previous and the following knot and with that determine how to tie the crossings. # The convention is that each crossing has entries 0,1,2,3 where 0 corresponds to the edge incoming from below # having the lowest index. Entries 1,2,3 and assigned moving counterclockwise. # There will be 3 interesting cases. If the flow goes below, if the flow goes above in standard direction (the above # edge passes to the right) and if it goes above in skew direction (to the left). # FIRST CASE # We know in this case that the previous crossing in the list will be connected to crossings[k][0] and # the one that follows to crossings[k][2]. We need now to check the crossing type of the previous and # the following to know to which of their entries to connect. if crossinfo[k][2]==-1: prev = 0 proc = 2 # SECOND CASE # If above then the sign will determine which entry to connect. else: if crossinfo[k][4]==1: prev = 3 proc = 1 # THIRD CASE else: prev = 1 proc = 3 # Now we connect to the previous and next crossings again depending on their type. if crossinfo[(k-1)%N][2]==-1: # Case a) The previous crossing's flow is below. crossings[crossid[k]][prev] = crossings[crossid[(k-1)%N]][2] else: # Case b) If the flow is going above, we need to know we must look at the signum (left or right). if crossinfo[(k-1)%N][4] == 1: # Case i) standard direction, the above edge passes to the right. crossings[crossid[k]][prev] = crossings[crossid[(k-1)%N]][1] else: # Case ii) skew direction crossings[crossid[k]][prev] = crossings[crossid[(k-1)%N]][3] # The instructions are similar for the following cross. if crossinfo[(k+1)%N][2]==-1: # Case a) The follwing crossing's flow is below. crossings[crossid[k]][proc] = crossings[crossid[(k+1)%N]][0] else: # Case b) Flow goes above, we look at signum if crossinfo[(k+1)%N][4] == 1: # Case i) standard direction, the above edge passes to the right. crossings[crossid[k]][proc] = crossings[crossid[(k+1)%N]][3] else: # Case ii) skew direction crossings[crossid[k]][proc] = crossings[crossid[(k+1)%N]][1] k += 1 # We know store the complement of the braid into a manifold object. self.manifold = spherogram.links.links.Link(crossings).exterior()

56.509317

133

0.562102

594fc3bceb0011a3f8cfcbdf5531a9ed9e5e8039

498

py

Python

tests/api_root.py

talavis/DataGraphics

d2be4e83b9ce6aeb89a3021ec9ed61793f24cb87

[ "MIT" ]

null

tests/api_root.py

talavis/DataGraphics

d2be4e83b9ce6aeb89a3021ec9ed61793f24cb87

[ "MIT" ]

null

tests/api_root.py

talavis/DataGraphics

d2be4e83b9ce6aeb89a3021ec9ed61793f24cb87

[ "MIT" ]

null

"Test the API Root resource." import http.client import unittest import requests import utils class Root(utils.ApiMixin, unittest.TestCase): "Test the API Root resource." def test_root_data(self): "Get root information." url = f"{self.settings['BASE_URL']}api" response = requests.get(url, headers=self.headers) self.assertEqual(response.status_code, http.client.OK) self.check_schema(response) if __name__ == "__main__": unittest.main()

20.75

62

0.688755

6e93ad89b1c4232026ec37e2384e9ef0528f82d2

10,391

py

Python

mule/python/mule/JobParallelization.py

valentinaschueller/sweet

27e99c7a110c99deeadee70688c186d82b39ac90

[ "MIT" ]

6

2017-11-20T08:12:46.000Z

2021-03-11T15:32:36.000Z

mule/python/mule/JobParallelization.py

valentinaschueller/sweet

27e99c7a110c99deeadee70688c186d82b39ac90

[ "MIT" ]

4

2018-02-02T21:46:33.000Z

2022-01-11T11:10:27.000Z

mule/python/mule/JobParallelization.py

valentinaschueller/sweet

27e99c7a110c99deeadee70688c186d82b39ac90

[ "MIT" ]

12

2016-03-01T18:33:34.000Z

2022-02-08T22:20:31.000Z

import math import sys from functools import reduce import operator from mule.InfoError import * from mule.JobPlatformResources import * from mule.JobParallelizationDimOptions import * __all__ = ['JobParallelization'] def _prod(iterable): return reduce(operator.mul, iterable, 1) class JobParallelization(InfoError): """ This class stores information on how each program should be executed on a platform The application has to initialize the variables in a sufficient way so that the final configuration to execute the program on a cluster can be inferred from this. Terminology: ------------ 'num_threads': Number of running threads within one MPI rank 'num_cores': Number of physical processing cores 'rank': MPI rank """ def __init__(self, dummy_init = False): self.init_phase = True InfoError.__init__(self, "JobParallelization") self.reset(dummy_init) # # WARNING: # Leave these variables here to ensure being not influenced by reset() # # # Disable utilization of `mpiexec` to run job # This is required to run e.g. the validation scripts should be # (currently) executed on a single node and without MPI support self.mpiexec_disabled = False # Force disabling of turbo mode (if supported) self.force_turbo_off = False # Qualitative settings # Allow oversubscription (aka Hyperthreading) self.core_oversubscription = False # affinities: # compact, scatter self.core_affinity = None # max wallclock time, default: 1h self.max_wallclock_seconds = 60*60 self.init_phase = False def __setattr__(self, name, value): if name != 'init_phase': if not self.init_phase: if not name in self.__dict__: raise Exception("Attribute '"+name+"' does not exist!") self.__dict__[name] = value def reset(self, dummy_init = False): """ Reset functionality for a fresh configuration in case that a new setup is triggered """ # Number of cores per rank self.num_cores_per_rank : int = None # Number of threads per rank self.num_threads_per_rank = None # Number of ranks per node self.num_ranks_per_node = None # Number of cores per node self.num_cores_per_node : int = None # Number of total ranks self.num_ranks = None # Number of total nodes self.num_nodes = None # Number of total cores self.num_cores = None # List with parallelization information in each dimension # Note, that space dimension can and should be treated as a single dimension self.pardims = None self.pardims_dict = {} def get_max_wallclock_seconds_hh_mm_ss(self): """ Return properly formatted self.max_wallclock_seconds usable for job scripts """ secs = self.max_wallclock_seconds # seconds s = int(secs) m = s // 60 s = s % 60 h = m // 60 m = m % 60 stest = h*60*60 + m*60 + s if int(secs) != stest: print(secs) print(stest) raise Exception("Internal error!") return str(h).zfill(2)+":"+str(m).zfill(2)+":"+str(s).zfill(2) def print(self): if self.pardims == None: print("No dimension-wise parallelization information specified") else: for i in self.pardims: i.hline() i.print() self.hline() self.hline() self.info("num_cores_per_rank: "+str(self.num_cores_per_rank)) self.info("num_threads_per_rank: "+str(self.num_threads_per_rank)) self.info("num_ranks_per_node: "+str(self.num_ranks_per_node)) self.info("num_cores_per_node: "+str(self.num_cores_per_node)) self.info("num_ranks: "+str(self.num_ranks)) self.info("num_nodes: "+str(self.num_nodes)) self.info("num_cores: "+str(self.num_cores)) self.info("max_wallclock_seconds: "+str(self.max_wallclock_seconds)) self.info("mpiexec_disabled: "+str(self.mpiexec_disabled)) self.info("force_turbo_off: "+str(self.force_turbo_off)) def dummy_setup_if_no_setup(self, platform_resources : JobPlatformResources): """ Setup a dummy parallelization dimension to use one rank on one node and all cores on the node """ if self.pardims == None: dummy = JobParallelizationDimOptions("dummy") dummy.num_cores = platform_resources.num_cores_per_node dummy.num_cores_per_rank = dummy.num_cores dummy.num_threads_per_rank = dummy.num_cores dummy.num_ranks = 1 self.setup([dummy], platform_resources) self.print() def setup(self, list_pardims, platform_resources : JobPlatformResources): """ Setup data which is required by the platform specific scripts to generate the job scripts Parameters ---------- list_pardims: JobParallelizationDimOptions List with options for parallelization in each dimension platform_resources reference to jobgeneration class #mode : string # 'serial': No parallelization """ self.reset() self.pardims = list_pardims # # Support space-only parallelization without list if not isinstance(self.pardims, list): self.pardims = [self.pardims] # First, we setup each dimension # This also runs a validation checker over it dim_id = 0 self.pardims_dict = {} for i in self.pardims: i.setup(dim_id) dim_id += 1 self.pardims_dict[i.dim_name] = i # Compute total number of resources over all dimensions self.num_cores_per_rank = _prod(i.num_cores_per_rank for i in self.pardims) # Check if number of cores per rank exceeds the available number of cores per node if self.num_cores_per_rank > platform_resources.num_cores_per_node: self.print() self.error("Invalid config for parallelization: self.num_cores_per_rank >= platform_resources.num_cores_per_node") # Number of ranks self.num_ranks = _prod(i.num_ranks for i in self.pardims) if self.num_ranks <= 0: self.error("self.num_ranks <= 0") # Check how many ranks we can run on each node self.num_ranks_per_node = int(math.ceil(platform_resources.num_cores_per_node // self.num_cores_per_rank)) if self.num_ranks_per_node <= 0: self.error("self.num_ranks_per_node <= 0") # Reduce ranks per node if only a single node is used with all ranks on this particular node if self.num_ranks_per_node > self.num_ranks: self.num_ranks_per_node = self.num_ranks # Compute number of cores per node if self.num_cores_per_node == None: self.num_cores_per_node = self.num_cores_per_rank*self.num_ranks_per_node # # Compute raw numbers and compare to new number # The new number must be always \leq than the raw number # due to additional restrictions # # We do this mainly for debugging restrictions # # VALIDATION for inconsistencies raw_num_ranks = _prod(i.num_ranks for i in self.pardims) if self.num_ranks < raw_num_ranks: self.print() self.error("Internal error: self.num_ranks < raw_num_ranks") # Number of nodes self.num_nodes = int(math.ceil(self.num_ranks / self.num_ranks_per_node)) if self.num_nodes <= 0: self.error("self.num_nodes <= 0") # VALIDATION for inconsistencies if self.num_nodes * self.num_ranks_per_node != self.num_ranks: self.print() self.error("Error: self.num_nodes * self.num_ranks_per_node != self.num_ranks\n******* Please change your job settings to avoid this *******") self.num_cores = self.num_nodes * platform_resources.num_cores_per_node # # VALIDATION for hardware restrictions # # Enough computing cores? if self.num_ranks*self.num_cores_per_rank > platform_resources.num_cores: self.print() self.error("Invalid config for parallelization: self.num_ranks*self.num_cores_per_rank > platform_resources.num_cores") if self.num_cores > platform_resources.num_cores: self.print() self.error("Invalid config for parallelization: self.num_cores > platform_resources.num_cores") # # Finally, setup variables without any restrictions # # Number of total (e.g. OpenMP) threads per rank (There are no restrictions for logical threading) self.num_threads_per_rank = _prod(i.num_threads_per_rank for i in self.pardims) def getUniqueID(self, i_filters): """ Return a unique ID including *all* string and number attributes of this class i_filter: list of filter names to filter out from unique ID generation """ retval = '' if not 'parallelization' in i_filters: if not 'parallelization.mpi_ranks' in i_filters: # mpi ranks retval += "_r"+str(self.num_ranks).zfill(5) if not 'parallelization.cores_per_rank' in i_filters: # cores per rank retval += "_cpr"+str(self.num_cores_per_rank).zfill(3) if not 'parallelization.threads_per_rank' in i_filters: # threads per rank retval += "_tpr"+str(self.num_threads_per_rank).zfill(3) if not 'parallelization.dims' in i_filters: retval += "_DIMS" for i in self.pardims: retval += '_'+i.dim_name+str(i.num_cores).zfill(3) if retval != '': retval = 'PAR'+retval return retval if __name__ == "__main__": p = JobParallelization() s = p.getUniqueID() p.info(s) p.print() p.info("FIN")

31.776758

154

0.621114

1e1263a21dd51f5c5511e5ff651ffe529655b923

31

py

Python

mmterm/__init__.py

sbliven/mmterm

042b2280fc58932870ef7f079d8743e4fc420ee7

[ "MIT" ]

null

mmterm/__init__.py

sbliven/mmterm

042b2280fc58932870ef7f079d8743e4fc420ee7

[ "MIT" ]

null

mmterm/__init__.py

sbliven/mmterm

042b2280fc58932870ef7f079d8743e4fc420ee7

[ "MIT" ]

null

from .view import view_protein

15.5

30

0.83871

ae90dcdbab32670e3ffa719957d44c887763814d

4,295

py

Python

social/actions.py

dongweiming/flask_reveal

739a0c49d2fbf5a36c7b9cb11ec1303b9c8b0e83

[ "BSD-3-Clause" ]

41

2015-01-31T08:23:04.000Z

2021-03-20T08:55:23.000Z

social/actions.py

dongweiming/flask_reveal

739a0c49d2fbf5a36c7b9cb11ec1303b9c8b0e83

[ "BSD-3-Clause" ]

null

social/actions.py

dongweiming/flask_reveal

739a0c49d2fbf5a36c7b9cb11ec1303b9c8b0e83

[ "BSD-3-Clause" ]

19

2015-01-17T11:50:35.000Z

2019-05-01T22:49:02.000Z

from social.p3 import quote from social.utils import sanitize_redirect, user_is_authenticated, \ user_is_active def do_auth(strategy, redirect_name='next'): # Save any defined next value into session data = strategy.request_data(merge=False) # Save extra data into session. for field_name in strategy.setting('FIELDS_STORED_IN_SESSION', []): if field_name in data: strategy.session_set(field_name, data[field_name]) if redirect_name in data: # Check and sanitize a user-defined GET/POST next field value redirect_uri = data[redirect_name] if strategy.setting('SANITIZE_REDIRECTS', True): redirect_uri = sanitize_redirect(strategy.request_host(), redirect_uri) strategy.session_set( redirect_name, redirect_uri or strategy.setting('LOGIN_REDIRECT_URL') ) return strategy.start() def do_complete(strategy, login, user=None, redirect_name='next', *args, **kwargs): # pop redirect value before the session is trashed on login() data = strategy.request_data() redirect_value = strategy.session_get(redirect_name, '') or \ data.get(redirect_name, '') is_authenticated = user_is_authenticated(user) user = is_authenticated and user or None default_redirect = strategy.setting('LOGIN_REDIRECT_URL') url = default_redirect login_error_url = strategy.setting('LOGIN_ERROR_URL') or \ strategy.setting('LOGIN_URL') if strategy.session_get('partial_pipeline'): idx, backend, xargs, xkwargs = strategy.from_session( strategy.session_pop('partial_pipeline') ) if backend == strategy.backend_name: kwargs = kwargs.copy() kwargs.setdefault('user', user) kwargs.update(xkwargs) user = strategy.continue_pipeline(pipeline_index=idx, *xargs, **xkwargs) else: strategy.clean_partial_pipeline() user = strategy.complete(user=user, request=strategy.request, *args, **kwargs) else: user = strategy.complete(user=user, request=strategy.request, *args, **kwargs) if strategy.is_response(user): return user if is_authenticated: if not user: url = redirect_value or default_redirect else: url = redirect_value or \ strategy.setting('NEW_ASSOCIATION_REDIRECT_URL') or \ default_redirect elif user: if user_is_active(user): # catch is_new/social_user in case login() resets the instance is_new = getattr(user, 'is_new', False) social_user = user.social_user login(strategy, user) # store last login backend name in session strategy.session_set('social_auth_last_login_backend', social_user.provider) # Remove possible redirect URL from session, if this is a new # account, send him to the new-users-page if defined. new_user_redirect = strategy.setting('NEW_USER_REDIRECT_URL') if new_user_redirect and is_new: url = new_user_redirect else: url = redirect_value or default_redirect else: url = strategy.setting('INACTIVE_USER_URL', login_error_url) else: url = login_error_url if redirect_value and redirect_value != url: redirect_value = quote(redirect_value) url += ('?' in url and '&' or '?') + \ '%s=%s' % (redirect_name, redirect_value) if url == '/': url = '/' + user.username return strategy.redirect(url) def do_disconnect(strategy, user, association_id=None, redirect_name='next'): strategy.disconnect(user=user, association_id=association_id) data = strategy.request_data() return strategy.redirect(data.get(redirect_name, '') or strategy.setting('DISCONNECT_REDIRECT_URL') or strategy.setting('LOGIN_REDIRECT_URL'))

40.904762

77

0.609546

9b16d505de142a48ac819e9b52132bcf642b945d

765

py

Python

river/optim/__init__.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

1,105

2019-01-24T15:15:30.000Z

2020-11-10T18:27:00.000Z

river/optim/__init__.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

328

2019-01-25T13:48:43.000Z

2020-11-11T11:41:44.000Z

river/optim/__init__.py

online-ml/creme

60872844e6052b5ef20e4075aea30f9031377136

[ "BSD-3-Clause" ]

150

2019-01-29T19:05:21.000Z

2020-11-11T11:50:14.000Z

"""Stochastic optimization.""" from . import base, initializers, losses, schedulers from .ada_bound import AdaBound from .ada_delta import AdaDelta from .ada_grad import AdaGrad from .ada_max import AdaMax from .adam import Adam from .ams_grad import AMSGrad from .average import Averager from .ftrl import FTRLProximal from .momentum import Momentum from .nadam import Nadam from .nesterov import NesterovMomentum from .rms_prop import RMSProp from .sgd import SGD __all__ = [ "base", "AdaBound", "AdaDelta", "AdaGrad", "Adam", "AMSGrad", "AdaMax", "Averager", "FTRLProximal", "initializers", "losses", "Momentum", "Nadam", "NesterovMomentum", "Optimizer", "RMSProp", "schedulers", "SGD", ]

20.675676

52

0.690196

7b415d09fc99ae10960e90f37cbe2ebc258a9265

20

py

Python

catalog/apps/__init__.py

sonico999/django-model

8e2d1136573adbcf6fe3e2b7bf2b192c0b63207a

[ "MIT" ]

null

catalog/apps/__init__.py

sonico999/django-model

8e2d1136573adbcf6fe3e2b7bf2b192c0b63207a

[ "MIT" ]

null

catalog/apps/__init__.py

sonico999/django-model

8e2d1136573adbcf6fe3e2b7bf2b192c0b63207a

[ "MIT" ]

null

__author__ = 'eveR'

10

19

0.7

f71d91b6162a24bdd995d0f0381a0643a85de953

4,535

py

Python

Chapter03/Chapter_3/musegen/musegen.py

YMandCL/Hands-On-Deep-Learning-for-Games

0225661409c3bf59ae6b7996c254bb485ebd10cb

[ "MIT" ]

33

2018-12-29T15:39:20.000Z

2022-03-18T14:36:11.000Z

Chapter03/Chapter_3/musegen/musegen.py

YMandCL/Hands-On-Deep-Learning-for-Games

0225661409c3bf59ae6b7996c254bb485ebd10cb

[ "MIT" ]

4

2019-05-01T08:30:47.000Z

2020-08-14T21:13:53.000Z

Chapter03/Chapter_3/musegen/musegen.py

YMandCL/Hands-On-Deep-Learning-for-Games

0225661409c3bf59ae6b7996c254bb485ebd10cb

[ "MIT" ]

14

2019-01-13T15:52:08.000Z

2021-10-10T06:14:39.000Z

# Currently this script is configured to use the note-generator model. from config import sequence_length, output_dir, note_generator_dir from helper import loadChorales, loadModelAndWeights, createPitchSpecificVocabularies, createDurationVocabularySpecific from music21 import note, instrument, stream, duration import numpy as np import os # disable GPU processing os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"] = "" # ---------------------------------------------- from keras.utils import to_categorical # select the epoch to use when loading the weights of the model generator generator_epoch = 43 # how many notes to generate ('end' marks are created along the way and the result is split into pieces) number_of_notes = 200 # load chorales to create the vocabularies print('loading chorales...') notes = loadChorales() # create the vocabulary note_vocab, note_names_vocab, note_vocab_categorical = createPitchSpecificVocabularies([x[0] for (x, _) in notes]) duration_vocab = createDurationVocabularySpecific([d for (_, d) in notes]) duration_vocab_categorical = to_categorical(range(len(duration_vocab))) note_to_int = dict((note, number) for number, note in enumerate(note_vocab)) int_to_note = dict((number, note) for number, note in enumerate(note_vocab)) duration_to_int = dict((dur, number) for number, dur in enumerate(duration_vocab)) duration_dim = duration_vocab.shape[0] pitch_dim = np.array(note_vocab).shape[0] print('loading networks...') dir_path = os.path.dirname(os.path.realpath(__file__)) generator = loadModelAndWeights(os.path.join(dir_path, note_generator_dir, 'model.json'), os.path.join(dir_path, note_generator_dir, 'weights-{:02d}.hdf5'.format(generator_epoch))) # make a melody!!! pitch_input = np.eye(pitch_dim)[np.random.choice(pitch_dim, size=sequence_length)] duration_input = np.eye(duration_dim)[np.random.choice(duration_dim, size=sequence_length)] print('generating output...') # generate notes generator_output = [] for _ in range(number_of_notes): # reshape inputs pi = np.reshape(pitch_input, (1, sequence_length, pitch_dim)) di = np.reshape(duration_input, (1, sequence_length, duration_dim)) # make prediction pitch_pred, dur_pred = generator.predict({'pitches_input': pi, 'durations_input': di}, verbose=0) generator_output.append((pitch_pred, dur_pred)) pitch_input = np.vstack([pitch_input, pitch_pred]) pitch_input = pitch_input[1:len(pitch_input)] duration_input = np.vstack([duration_input, dur_pred]) duration_input = duration_input[1:len(duration_input)] output_notes = [(int_to_note[np.argmax(n)], duration_vocab[np.argmax(d)]) for (n, d) in generator_output] output_notes = np.array(output_notes) output_notes = np.reshape(output_notes, (-1, 2)) # output_notes contains: pitch values in midi format (integers), 'rest' marks, 'end' marks # split the generated notes into pieces based on 'end' marks indices = [] for (ind, (n, _)) in enumerate(output_notes): if n == 'end': indices.append(ind) indices = np.insert(np.reshape(indices, (-1)), 0, 0) pieces = [output_notes] if len(indices) > 1: pieces = ([ output_notes[(indices[j] + 1):indices[j + 1] ] for j in range(len(indices) - 1)]) print('writing output to disk...') os.makedirs(os.path.join(dir_path, output_dir, 'note-generator'), exist_ok=True) # output pieces to midi files for index, notes in enumerate(pieces): midi_notes = [] offset = 0 for n, d in notes: # since a duration of 0 is included in the vocabulary (for the 'end' marks), the network may generate a 0 duration for other notes # naively correct and report this erroneous behaviour if abs(float(d)) < 0.001: print('found zero duration') d = '1.0' if n == 'rest': new_note = note.Rest() new_note.duration = duration.Duration(float(d)) new_note.offset = offset new_note.storedInstrument = instrument.Piano() midi_notes.append(new_note) else: new_note = note.Note(int(n)) new_note.duration = duration.Duration(float(d)) new_note.offset = offset new_note.storedInstrument = instrument.Piano() midi_notes.append(new_note) offset += float(d) midi_stream = stream.Stream(midi_notes) midi_stream.write('midi', fp=os.path.join(dir_path, output_dir, 'note-generator', 'sample-{}.mid'.format(index)))

39.094828

138

0.704961

277d248697293716404d4dde831b68f4c36842bf

203

py

Python

Unit2/P2.4.4_A.py

capravictoriae/Space-Mission-Design-and-Operations-EE585x-MOOC

a5f6aaaae06969eaa5e3d0847093bdb7433083b8

[ "Apache-2.0" ]

null

Unit2/P2.4.4_A.py

capravictoriae/Space-Mission-Design-and-Operations-EE585x-MOOC

a5f6aaaae06969eaa5e3d0847093bdb7433083b8

[ "Apache-2.0" ]

null

Unit2/P2.4.4_A.py

capravictoriae/Space-Mission-Design-and-Operations-EE585x-MOOC

a5f6aaaae06969eaa5e3d0847093bdb7433083b8

[ "Apache-2.0" ]

2

2021-08-20T18:47:26.000Z

2021-08-23T16:39:59.000Z

earth_mu = 3.986e14 earth_r = 6.378e6 # m speed = 7.76 * 1000 # m/s # V = sqrt(mu/r) => V^2 = mu/r => V^2/mu = 1/r # mu / V^2 = r dist = earth_mu / (speed**2) dist = dist - earth_r print(dist/1000)

16.916667

46

0.55665

eeb06ce8f69c574aa71090d7b36ba6533a8aee54

7,723

py

Python

youtube_comment_downloader/downloader.py

leostormrage/youtube-comment-downloader

d82419d0653cb1cbd7d3c873dc9f9d70bbc3b0e2

[ "MIT" ]

1

2021-05-08T04:30:58.000Z

youtube_comment_downloader/downloader.py

leostormrage/youtube-comment-downloader

d82419d0653cb1cbd7d3c873dc9f9d70bbc3b0e2

[ "MIT" ]

null

youtube_comment_downloader/downloader.py

leostormrage/youtube-comment-downloader

d82419d0653cb1cbd7d3c873dc9f9d70bbc3b0e2

[ "MIT" ]

null

#!/usr/bin/env python from __future__ import print_function import argparse import io import json import os import sys import time import requests YOUTUBE_VIDEO_URL = 'https://www.youtube.com/watch?v={youtube_id}' YOUTUBE_COMMENTS_AJAX_URL = 'https://www.youtube.com/comment_service_ajax' USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36' SORT_BY_POPULAR = 0 SORT_BY_RECENT = 1 def find_value(html, key, num_chars=2, separator='"'): pos_begin = html.find(key) + len(key) + num_chars pos_end = html.find(separator, pos_begin) return html[pos_begin: pos_end] def ajax_request(session, url, params=None, data=None, headers=None, retries=5, sleep=20): for _ in range(retries): response = session.post(url, params=params, data=data, headers=headers) if response.status_code == 200: return response.json() if response.status_code in [403, 413]: return {} else: time.sleep(sleep) def download_comments(youtube_id, sort_by=SORT_BY_RECENT, sleep=.1): session = requests.Session() session.headers['User-Agent'] = USER_AGENT response = session.get(YOUTUBE_VIDEO_URL.format(youtube_id=youtube_id)) if 'uxe=' in response.request.url: session.cookies.set('CONSENT', 'YES+cb', domain='.youtube.com') response = session.get(YOUTUBE_VIDEO_URL.format(youtube_id=youtube_id)) html = response.text session_token = find_value(html, 'XSRF_TOKEN', 3) session_token = session_token.encode('ascii').decode('unicode-escape') data = json.loads(find_value(html, 'var ytInitialData = ', 0, '};') + '}') for renderer in search_dict(data, 'itemSectionRenderer'): ncd = next(search_dict(renderer, 'nextContinuationData'), None) if ncd: break if not ncd: # Comments disabled? return needs_sorting = sort_by != SORT_BY_POPULAR continuations = [(ncd['continuation'], ncd['clickTrackingParams'], 'action_get_comments')] while continuations: continuation, itct, action = continuations.pop() response = ajax_request(session, YOUTUBE_COMMENTS_AJAX_URL, params={action: 1, 'pbj': 1, 'ctoken': continuation, 'continuation': continuation, 'itct': itct}, data={'session_token': session_token}, headers={'X-YouTube-Client-Name': '1', 'X-YouTube-Client-Version': '2.20201202.06.01'}) if not response: break if list(search_dict(response, 'externalErrorMessage')): raise RuntimeError('Error returned from server: ' + next(search_dict(response, 'externalErrorMessage'))) if needs_sorting: sort_menu = next(search_dict(response, 'sortFilterSubMenuRenderer'), {}).get('subMenuItems', []) if sort_by < len(sort_menu): ncd = sort_menu[sort_by]['continuation']['reloadContinuationData'] continuations = [(ncd['continuation'], ncd['clickTrackingParams'], 'action_get_comments')] needs_sorting = False continue raise RuntimeError('Failed to set sorting') if action == 'action_get_comments': section = next(search_dict(response, 'itemSectionContinuation'), {}) for continuation in section.get('continuations', []): ncd = continuation['nextContinuationData'] continuations.append((ncd['continuation'], ncd['clickTrackingParams'], 'action_get_comments')) for item in section.get('contents', []): continuations.extend([(ncd['continuation'], ncd['clickTrackingParams'], 'action_get_comment_replies') for ncd in search_dict(item, 'nextContinuationData')]) elif action == 'action_get_comment_replies': continuations.extend([(ncd['continuation'], ncd['clickTrackingParams'], 'action_get_comment_replies') for ncd in search_dict(response, 'nextContinuationData')]) for comment in search_dict(response, 'commentRenderer'): yield {'cid': comment['commentId'], 'text': ''.join([c['text'] for c in comment['contentText'].get('runs', [])]), 'time': comment['publishedTimeText']['runs'][0]['text'], 'author': comment.get('authorText', {}).get('simpleText', ''), 'channel': comment['authorEndpoint']['browseEndpoint']['browseId'], 'votes': comment.get('voteCount', {}).get('simpleText', '0'), 'photo': comment['authorThumbnail']['thumbnails'][-1]['url'], 'heart': next(search_dict(comment, 'isHearted'), False)} time.sleep(sleep) def search_dict(partial, search_key): stack = [partial] while stack: current_item = stack.pop() if isinstance(current_item, dict): for key, value in current_item.items(): if key == search_key: yield value else: stack.append(value) elif isinstance(current_item, list): for value in current_item: stack.append(value) def main(argv = None): parser = argparse.ArgumentParser(add_help=False, description=('Download Youtube comments without using the Youtube API')) parser.add_argument('--help', '-h', action='help', default=argparse.SUPPRESS, help='Show this help message and exit') parser.add_argument('--youtubeid', '-y', help='ID of Youtube video for which to download the comments') parser.add_argument('--output', '-o', help='Output filename (output format is line delimited JSON)') parser.add_argument('--limit', '-l', type=int, help='Limit the number of comments') parser.add_argument('--sort', '-s', type=int, default=SORT_BY_RECENT, help='Whether to download popular (0) or recent comments (1). Defaults to 1') try: args = parser.parse_args() if argv is None else parser.parse_args(argv) youtube_id = args.youtubeid output = args.output limit = args.limit if not youtube_id or not output: parser.print_usage() raise ValueError('you need to specify a Youtube ID and an output filename') if os.sep in output: outdir = os.path.dirname(output) if not os.path.exists(outdir): os.makedirs(outdir) print('Downloading Youtube comments for video:', youtube_id) count = 0 with io.open(output, 'w', encoding='utf8') as fp: sys.stdout.write('Downloaded %d comment(s)\r' % count) sys.stdout.flush() start_time = time.time() for comment in download_comments(youtube_id, args.sort): comment_json = json.dumps(comment, ensure_ascii=False) print(comment_json.decode('utf-8') if isinstance(comment_json, bytes) else comment_json, file=fp) count += 1 sys.stdout.write('Downloaded %d comment(s)\r' % count) sys.stdout.flush() if limit and count >= limit: break print('\n[{:.2f} seconds] Done!'.format(time.time() - start_time)) except Exception as e: print('Error:', str(e)) sys.exit(1) if __name__ == "__main__": main(sys.argv[1:])

42.668508

130

0.600673

89ef2fd432ef2d4d7327050deb24591d4f209e84

4,273

py

Python

beta_rec/experiment/experiment.py

mengzaiqiao/TVBR

cdac86a753c41f8f3c55a025be8d88dd305325f5

[ "MIT" ]

126

2020-03-19T02:30:23.000Z

2022-03-15T11:10:46.000Z

beta_rec/experiment/experiment.py

mengzaiqiao/TVBR

cdac86a753c41f8f3c55a025be8d88dd305325f5

[ "MIT" ]

174

2020-03-15T17:28:10.000Z

2022-03-15T22:38:51.000Z

beta_rec/experiment/experiment.py

mengzaiqiao/TVBR

cdac86a753c41f8f3c55a025be8d88dd305325f5

[ "MIT" ]

38

2020-03-19T00:38:47.000Z

2022-02-24T11:03:12.000Z

# coding=utf-8 """ This is the implementation of experimental pipeline. This class is still under development. """ import pandas as pd from tabulate import tabulate def print_result_as_table(results, tag=None): """Print results as a table.""" eval_infos = set() for result in results: eval_infos.update(result.keys()) eval_infos = list(eval_infos) print("-" * 80) if tag is not None: print(tag) for result in results: for eval_info in eval_infos: if eval_info not in result: result["eval_info"] = "--" df = pd.DataFrame(results) df = df.set_index("model") df = df.T print(tabulate(df, headers=df.columns, tablefmt="psql")) print("-" * 80) class Experiment: """This enables the flow of an experiment with the beta-rec platform. Args: datasets: array of :obj: '<beta_rec.datasets>', required the experimental datasets (e.g. MovieLens) eval_methods: : array of string, required the evaluation method (e.g. ['load_leave_one_out']) models: array of :obj:`<beta_rec.recommenders>`, required A collection of recommender models to evaluate, e.g., [MF, GCN]. metrics: array of string, default: None and every model has its default evaluation metrics in the configuration file. A collection of metrics to use to evaluate all the recommender models, e.g., ['ndcg', 'precision', 'recall']. eval_score: array of integer, default: None and every model has its default evaluation score in the configuration file. A list integer values to define evaluation scope on, \ e.g., [1, 10, 20]. model_dir: str, optional, default: None Path to a directory for loading a pretrained model save_dir: str, optional, default: None Path to a directory for storing trained models and logs. If None, models will NOT be stored and logs will be saved in the current working directory. result_file: str, optional, default: None and every model will be saved in a result file that indicated in the configuration. The name of the result saving file, which starts with the model name and followed by the given result file string as the affix. """ def __init__( self, datasets, models, metrics=None, eval_scopes=None, model_dir=None, result_file=None, save_dir=None, ): """Initialise required inputs for the expriment pipeline.""" self.datasets = datasets self.models = models self.metrics = metrics self.eval_scopes = eval_scopes self.result_file = result_file self.save_dir = save_dir self.update_config() def run(self): """Run the experiment.""" results = [] for data in self.datasets: for model in self.models: model.train(data) result = model.test(data.test[0]) results.extend(result) print_result_as_table(results) def load_pretrained_model(self): """Load the pretrained model.""" for data in self.datasets: for model in self.models: model.init_engine(data) model.load(model_dir=self.model_dir) model.predict(data.test[0]) def update_config(self): """Update the configuration of models.""" if self.metrics is not None: for model in self.models: model.config["system"]["metrics"] = self.metrics if self.eval_scopes is not None: for model in self.models: model.config["system"]["k"] = self.eval_scopes if self.result_file is not None: for idx, model in enumerate(self.models): model.config["system"]["result_file"] = ( "model_" + str(idx) + "_" + self.config["model"]["model"] + "_" + self.result_file ) if self.save_dir is not None: for model in self.models: model.config["system"]["result_dir"] = self.save_dir

35.608333

79

0.598877

790ed6be71e6a2011d907c0c08f1e39bd4f7c044

3,586

py

Python

CoffeeAPI/CoffeeAPI/settings.py

Mohammed-abdelawal/coffee_api

2939efdd048c7ee392c4afab368e3d01aab994f7

[ "MIT" ]

1

2020-09-21T17:17:52.000Z

CoffeeAPI/CoffeeAPI/settings.py

Mohammed-abdelawal/coffee_api

2939efdd048c7ee392c4afab368e3d01aab994f7

[ "MIT" ]

null

CoffeeAPI/CoffeeAPI/settings.py

Mohammed-abdelawal/coffee_api

2939efdd048c7ee392c4afab368e3d01aab994f7

[ "MIT" ]

null

""" Django settings for CoffeeAPI project. Generated by 'django-admin startproject' using Django 3.0.2. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os import urllib # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '2z$9iq)q+$an2fm4gj271_*z-r#x86pcc976)^eh@8kuc*#@7h' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'rest_framework', 'core', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'CoffeeAPI.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'CoffeeAPI.wsgi.application' # Database # https://docs.djangoproject.com/en/3.0/ref/settings/#databases """ DATABASES = { 'default': { 'ENGINE': 'djongo', "NAME": 'mongodb+srv://mohammed-mongo:iF7MzKLgXvgL57ve@coffee-api.u2crw.mongodb.net/test?retryWrites=true&w=majority' } } """ DATABASES = { "default": { "ENGINE": "djongo", "CLIENT": { "host": "mongodb+srv://mohammed-mongo:iF7MzKLgXvgL57ve@coffee-api.u2crw.mongodb.net/?retryWrites=true&w=majority", "username": "mohammed-mongo", "password": "iF7MzKLgXvgL57ve", "name": "test", "authMechanism": "SCRAM-SHA-1", }, }} # Password validation # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.0/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.0/howto/static-files/ STATIC_URL = '/static/'

26.367647

126

0.678751

842b049144b3ec0fa4c40189d9bac14f6de3b23f

709

py

Python

logger.py

Term-inator/Brain-Tumor-Detection

b59715092cca7a17b589b5d906983eb42ee4ad87

[ "MIT" ]

null

logger.py

Term-inator/Brain-Tumor-Detection

b59715092cca7a17b589b5d906983eb42ee4ad87

[ "MIT" ]

null

logger.py

Term-inator/Brain-Tumor-Detection

b59715092cca7a17b589b5d906983eb42ee4ad87

[ "MIT" ]

null

from logging import getLogger, INFO, FileHandler, Formatter, StreamHandler LOGGER = None handlers = [] def init_logger(log_file='./train.log'): logger = getLogger(__name__) logger.setLevel(INFO) handler1 = StreamHandler() handler1.setFormatter(Formatter("%(message)s")) handler2 = FileHandler(filename=log_file) handler2.setFormatter(Formatter("%(message)s")) logger.addHandler(handler1) logger.addHandler(handler2) handlers.append(handler1) handlers.append(handler2) global LOGGER LOGGER = logger def close_logger(): global LOGGER for handler in handlers: LOGGER.removeHandler(handler) def Logger(): global LOGGER return LOGGER

22.15625

74

0.71086

4b6017f697f2f6b05c63c0471a71fa057d69bbbb

2,191

py

Python

src/oci/cloud_guard/models/resource_profile_collection.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

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

null

src/oci/cloud_guard/models/resource_profile_collection.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

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

null

src/oci/cloud_guard/models/resource_profile_collection.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

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

null

# coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class ResourceProfileCollection(object): """ Collection of resource profile summary. """ def __init__(self, **kwargs): """ Initializes a new ResourceProfileCollection object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param items: The value to assign to the items property of this ResourceProfileCollection. :type items: list[oci.cloud_guard.models.ResourceProfileSummary] """ self.swagger_types = { 'items': 'list[ResourceProfileSummary]' } self.attribute_map = { 'items': 'items' } self._items = None @property def items(self): """ **[Required]** Gets the items of this ResourceProfileCollection. List of resource profiles :return: The items of this ResourceProfileCollection. :rtype: list[oci.cloud_guard.models.ResourceProfileSummary] """ return self._items @items.setter def items(self, items): """ Sets the items of this ResourceProfileCollection. List of resource profiles :param items: The items of this ResourceProfileCollection. :type: list[oci.cloud_guard.models.ResourceProfileSummary] """ self._items = items def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

30.859155

245

0.668644

a3496a6c9421b2a3a494864d3a6770b58bd5f503

4,622

py

Python

clang-tidy-to-junit.py

brel-ge/clang-tidy-to-codeclimate

b3182da22cd3fef7eec0064e673c0fa426726e46

[ "MIT" ]

null

clang-tidy-to-junit.py

brel-ge/clang-tidy-to-codeclimate

b3182da22cd3fef7eec0064e673c0fa426726e46

[ "MIT" ]

null

clang-tidy-to-junit.py

brel-ge/clang-tidy-to-codeclimate

b3182da22cd3fef7eec0064e673c0fa426726e46

[ "MIT" ]

null

#!/usr/bin/env python3 import sys import collections import re import logging import itertools from xml.sax.saxutils import escape # Create a `ErrorDescription` tuple with all the information we want to keep. ErrorDescription = collections.namedtuple( 'ErrorDescription', 'file line column error error_identifier description') class ClangTidyConverter: # All the errors encountered. errors = [] # Parses the error. # Group 1: file path # Group 2: line # Group 3: column # Group 4: error message # Group 5: error identifier error_regex = re.compile( r"^([\w\/\.\-\ ]+):(\d+):(\d+): (.+) (\[[\w\-,\.]+\])$") # This identifies the main error line (it has a [the-warning-type] at the end) # We only create a new error when we encounter one of those. main_error_identifier = re.compile(r'\[[\w\-,\.]+\]$') def __init__(self, basename): self.basename = basename def print_junit_file(self, output_file): # Write the header. output_file.write("""<?xml version="1.0" encoding="UTF-8" ?> <testsuites id="1" name="Clang-Tidy" tests="{error_count}" errors="{error_count}" failures="0" time="0">""".format(error_count=len(self.errors))) sorted_errors = sorted(self.errors, key=lambda x: x.file) # Iterate through the errors, grouped by file. for file, errorIterator in itertools.groupby(sorted_errors, key=lambda x: x.file): errors = list(errorIterator) error_count = len(errors) # Each file gets a test-suite output_file.write("""\n <testsuite errors="{error_count}" name="{file}" tests="{error_count}" failures="0" time="0">\n""" .format(error_count=error_count, file=file)) for error in errors: # Write each error as a test case. output_file.write(""" <testcase id="{id}" name="{id}" time="0"> <failure message="{message}"> {htmldata} </failure> </testcase>""".format(id="[{}/{}] {}".format(error.line, error.column, error.error_identifier), message=escape(error.error), htmldata=escape(error.description))) output_file.write("\n </testsuite>\n") output_file.write("</testsuites>\n") def process_error(self, error_array): if len(error_array) == 0: return result = self.error_regex.match(error_array[0]) if result is None: logging.warning( 'Could not match error_array to regex: %s', error_array) return # We remove the `basename` from the `file_path` to make prettier filenames in the JUnit file. file_path = result.group(1).replace(self.basename, "") error = ErrorDescription(file_path, int(result.group(2)), int( result.group(3)), result.group(4), result.group(5), "\n".join(error_array[1:])) self.errors.append(error) def convert(self, input_file, output_file): # Collect all lines related to one error. current_error = [] for line in input_file: # If the line starts with a `/`, it is a line about a file. if line[0] == '/': # Look if it is the start of a error if self.main_error_identifier.search(line, re.M): # If so, process any `current_error` we might have self.process_error(current_error) # Initialize `current_error` with the first line of the error. current_error = [line] else: # Otherwise, append the line to the error. current_error.append(line) elif len(current_error) > 0: # If the line didn't start with a `/` and we have a `current_error`, we simply append # the line as additional information. current_error.append(line) else: pass # If we still have any current_error after we read all the lines, # process it. if len(current_error) > 0: self.process_error(current_error) # Print the junit file. self.print_junit_file(output_file) if __name__ == "__main__": if len(sys.argv) < 2: logging.error("Usage: %s base-filename-path", sys.argv[0]) logging.error( " base-filename-path: Removed from the filenames to make nicer paths.") sys.exit(1) converter = ClangTidyConverter(sys.argv[1]) converter.convert(sys.stdin, sys.stdout)

39.504274

145

0.59325

c88a7e1c12856b619c7082dd4e79420019e12747

15,571

py

Python

lib/third_party/google/bigtable/admin/v2/table_pb2.py

bopopescu/Google-Cloud-SDK-1

c4683bacb2f6192d8a816932e438a0493085469b

[ "Apache-2.0" ]

null

lib/third_party/google/bigtable/admin/v2/table_pb2.py

bopopescu/Google-Cloud-SDK-1

c4683bacb2f6192d8a816932e438a0493085469b

[ "Apache-2.0" ]

null

lib/third_party/google/bigtable/admin/v2/table_pb2.py

bopopescu/Google-Cloud-SDK-1

c4683bacb2f6192d8a816932e438a0493085469b

[ "Apache-2.0" ]

1

2020-07-24T20:13:29.000Z

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/bigtable/admin/v2/table.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2 from google.protobuf import duration_pb2 as google_dot_protobuf_dot_duration__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='google/bigtable/admin/v2/table.proto', package='google.bigtable.admin.v2', syntax='proto3', serialized_pb=_b('\n$google/bigtable/admin/v2/table.proto\x12\x18google.bigtable.admin.v2\x1a\x1cgoogle/api/annotations.proto\x1a\x1egoogle/protobuf/duration.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xa0\x03\n\x05Table\x12\x0c\n\x04name\x18\x01 \x01(\t\x12L\n\x0f\x63olumn_families\x18\x03 \x03(\x0b\x32\x33.google.bigtable.admin.v2.Table.ColumnFamiliesEntry\x12I\n\x0bgranularity\x18\x04 \x01(\x0e\x32\x34.google.bigtable.admin.v2.Table.TimestampGranularity\x1a]\n\x13\x43olumnFamiliesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x35\n\x05value\x18\x02 \x01(\x0b\x32&.google.bigtable.admin.v2.ColumnFamily:\x02\x38\x01\"I\n\x14TimestampGranularity\x12%\n!TIMESTAMP_GRANULARITY_UNSPECIFIED\x10\x00\x12\n\n\x06MILLIS\x10\x01\"F\n\x04View\x12\x14\n\x10VIEW_UNSPECIFIED\x10\x00\x12\r\n\tNAME_ONLY\x10\x01\x12\x0f\n\x0bSCHEMA_VIEW\x10\x02\x12\x08\n\x04\x46ULL\x10\x04\"A\n\x0c\x43olumnFamily\x12\x31\n\x07gc_rule\x18\x01 \x01(\x0b\x32 .google.bigtable.admin.v2.GcRule\"\xd5\x02\n\x06GcRule\x12\x1a\n\x10max_num_versions\x18\x01 \x01(\x05H\x00\x12,\n\x07max_age\x18\x02 \x01(\x0b\x32\x19.google.protobuf.DurationH\x00\x12\x45\n\x0cintersection\x18\x03 \x01(\x0b\x32-.google.bigtable.admin.v2.GcRule.IntersectionH\x00\x12\x37\n\x05union\x18\x04 \x01(\x0b\x32&.google.bigtable.admin.v2.GcRule.UnionH\x00\x1a?\n\x0cIntersection\x12/\n\x05rules\x18\x01 \x03(\x0b\x32 .google.bigtable.admin.v2.GcRule\x1a\x38\n\x05Union\x12/\n\x05rules\x18\x01 \x03(\x0b\x32 .google.bigtable.admin.v2.GcRuleB\x06\n\x04ruleBk\n\x1c\x63om.google.bigtable.admin.v2B\nTableProtoP\x01Z=google.golang.org/genproto/googleapis/bigtable/admin/v2;adminb\x06proto3') , dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_protobuf_dot_duration__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,]) _TABLE_TIMESTAMPGRANULARITY = _descriptor.EnumDescriptor( name='TimestampGranularity', full_name='google.bigtable.admin.v2.Table.TimestampGranularity', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='TIMESTAMP_GRANULARITY_UNSPECIFIED', index=0, number=0, options=None, type=None), _descriptor.EnumValueDescriptor( name='MILLIS', index=1, number=1, options=None, type=None), ], containing_type=None, options=None, serialized_start=433, serialized_end=506, ) _sym_db.RegisterEnumDescriptor(_TABLE_TIMESTAMPGRANULARITY) _TABLE_VIEW = _descriptor.EnumDescriptor( name='View', full_name='google.bigtable.admin.v2.Table.View', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='VIEW_UNSPECIFIED', index=0, number=0, options=None, type=None), _descriptor.EnumValueDescriptor( name='NAME_ONLY', index=1, number=1, options=None, type=None), _descriptor.EnumValueDescriptor( name='SCHEMA_VIEW', index=2, number=2, options=None, type=None), _descriptor.EnumValueDescriptor( name='FULL', index=3, number=4, options=None, type=None), ], containing_type=None, options=None, serialized_start=508, serialized_end=578, ) _sym_db.RegisterEnumDescriptor(_TABLE_VIEW) _TABLE_COLUMNFAMILIESENTRY = _descriptor.Descriptor( name='ColumnFamiliesEntry', full_name='google.bigtable.admin.v2.Table.ColumnFamiliesEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='google.bigtable.admin.v2.Table.ColumnFamiliesEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='value', full_name='google.bigtable.admin.v2.Table.ColumnFamiliesEntry.value', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=338, serialized_end=431, ) _TABLE = _descriptor.Descriptor( name='Table', full_name='google.bigtable.admin.v2.Table', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='google.bigtable.admin.v2.Table.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='column_families', full_name='google.bigtable.admin.v2.Table.column_families', index=1, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='granularity', full_name='google.bigtable.admin.v2.Table.granularity', index=2, number=4, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_TABLE_COLUMNFAMILIESENTRY, ], enum_types=[ _TABLE_TIMESTAMPGRANULARITY, _TABLE_VIEW, ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=162, serialized_end=578, ) _COLUMNFAMILY = _descriptor.Descriptor( name='ColumnFamily', full_name='google.bigtable.admin.v2.ColumnFamily', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='gc_rule', full_name='google.bigtable.admin.v2.ColumnFamily.gc_rule', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=580, serialized_end=645, ) _GCRULE_INTERSECTION = _descriptor.Descriptor( name='Intersection', full_name='google.bigtable.admin.v2.GcRule.Intersection', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='rules', full_name='google.bigtable.admin.v2.GcRule.Intersection.rules', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=860, serialized_end=923, ) _GCRULE_UNION = _descriptor.Descriptor( name='Union', full_name='google.bigtable.admin.v2.GcRule.Union', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='rules', full_name='google.bigtable.admin.v2.GcRule.Union.rules', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=925, serialized_end=981, ) _GCRULE = _descriptor.Descriptor( name='GcRule', full_name='google.bigtable.admin.v2.GcRule', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='max_num_versions', full_name='google.bigtable.admin.v2.GcRule.max_num_versions', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='max_age', full_name='google.bigtable.admin.v2.GcRule.max_age', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='intersection', full_name='google.bigtable.admin.v2.GcRule.intersection', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='union', full_name='google.bigtable.admin.v2.GcRule.union', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_GCRULE_INTERSECTION, _GCRULE_UNION, ], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='rule', full_name='google.bigtable.admin.v2.GcRule.rule', index=0, containing_type=None, fields=[]), ], serialized_start=648, serialized_end=989, ) _TABLE_COLUMNFAMILIESENTRY.fields_by_name['value'].message_type = _COLUMNFAMILY _TABLE_COLUMNFAMILIESENTRY.containing_type = _TABLE _TABLE.fields_by_name['column_families'].message_type = _TABLE_COLUMNFAMILIESENTRY _TABLE.fields_by_name['granularity'].enum_type = _TABLE_TIMESTAMPGRANULARITY _TABLE_TIMESTAMPGRANULARITY.containing_type = _TABLE _TABLE_VIEW.containing_type = _TABLE _COLUMNFAMILY.fields_by_name['gc_rule'].message_type = _GCRULE _GCRULE_INTERSECTION.fields_by_name['rules'].message_type = _GCRULE _GCRULE_INTERSECTION.containing_type = _GCRULE _GCRULE_UNION.fields_by_name['rules'].message_type = _GCRULE _GCRULE_UNION.containing_type = _GCRULE _GCRULE.fields_by_name['max_age'].message_type = google_dot_protobuf_dot_duration__pb2._DURATION _GCRULE.fields_by_name['intersection'].message_type = _GCRULE_INTERSECTION _GCRULE.fields_by_name['union'].message_type = _GCRULE_UNION _GCRULE.oneofs_by_name['rule'].fields.append( _GCRULE.fields_by_name['max_num_versions']) _GCRULE.fields_by_name['max_num_versions'].containing_oneof = _GCRULE.oneofs_by_name['rule'] _GCRULE.oneofs_by_name['rule'].fields.append( _GCRULE.fields_by_name['max_age']) _GCRULE.fields_by_name['max_age'].containing_oneof = _GCRULE.oneofs_by_name['rule'] _GCRULE.oneofs_by_name['rule'].fields.append( _GCRULE.fields_by_name['intersection']) _GCRULE.fields_by_name['intersection'].containing_oneof = _GCRULE.oneofs_by_name['rule'] _GCRULE.oneofs_by_name['rule'].fields.append( _GCRULE.fields_by_name['union']) _GCRULE.fields_by_name['union'].containing_oneof = _GCRULE.oneofs_by_name['rule'] DESCRIPTOR.message_types_by_name['Table'] = _TABLE DESCRIPTOR.message_types_by_name['ColumnFamily'] = _COLUMNFAMILY DESCRIPTOR.message_types_by_name['GcRule'] = _GCRULE _sym_db.RegisterFileDescriptor(DESCRIPTOR) Table = _reflection.GeneratedProtocolMessageType('Table', (_message.Message,), dict( ColumnFamiliesEntry = _reflection.GeneratedProtocolMessageType('ColumnFamiliesEntry', (_message.Message,), dict( DESCRIPTOR = _TABLE_COLUMNFAMILIESENTRY, __module__ = 'google.bigtable.admin.v2.table_pb2' # @@protoc_insertion_point(class_scope:google.bigtable.admin.v2.Table.ColumnFamiliesEntry) )) , DESCRIPTOR = _TABLE, __module__ = 'google.bigtable.admin.v2.table_pb2' # @@protoc_insertion_point(class_scope:google.bigtable.admin.v2.Table) )) _sym_db.RegisterMessage(Table) _sym_db.RegisterMessage(Table.ColumnFamiliesEntry) ColumnFamily = _reflection.GeneratedProtocolMessageType('ColumnFamily', (_message.Message,), dict( DESCRIPTOR = _COLUMNFAMILY, __module__ = 'google.bigtable.admin.v2.table_pb2' # @@protoc_insertion_point(class_scope:google.bigtable.admin.v2.ColumnFamily) )) _sym_db.RegisterMessage(ColumnFamily) GcRule = _reflection.GeneratedProtocolMessageType('GcRule', (_message.Message,), dict( Intersection = _reflection.GeneratedProtocolMessageType('Intersection', (_message.Message,), dict( DESCRIPTOR = _GCRULE_INTERSECTION, __module__ = 'google.bigtable.admin.v2.table_pb2' # @@protoc_insertion_point(class_scope:google.bigtable.admin.v2.GcRule.Intersection) )) , Union = _reflection.GeneratedProtocolMessageType('Union', (_message.Message,), dict( DESCRIPTOR = _GCRULE_UNION, __module__ = 'google.bigtable.admin.v2.table_pb2' # @@protoc_insertion_point(class_scope:google.bigtable.admin.v2.GcRule.Union) )) , DESCRIPTOR = _GCRULE, __module__ = 'google.bigtable.admin.v2.table_pb2' # @@protoc_insertion_point(class_scope:google.bigtable.admin.v2.GcRule) )) _sym_db.RegisterMessage(GcRule) _sym_db.RegisterMessage(GcRule.Intersection) _sym_db.RegisterMessage(GcRule.Union) DESCRIPTOR.has_options = True DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\034com.google.bigtable.admin.v2B\nTableProtoP\001Z=google.golang.org/genproto/googleapis/bigtable/admin/v2;admin')) _TABLE_COLUMNFAMILIESENTRY.has_options = True _TABLE_COLUMNFAMILIESENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')) try: # THESE ELEMENTS WILL BE DEPRECATED. # Please use the generated *_pb2_grpc.py files instead. import grpc from grpc.beta import implementations as beta_implementations from grpc.beta import interfaces as beta_interfaces from grpc.framework.common import cardinality from grpc.framework.interfaces.face import utilities as face_utilities except ImportError: pass # @@protoc_insertion_point(module_scope)

38.446914

1,633

0.758397

5230cc3d85fac014944581d9d21b50b4614e3f8b

454

py

Python

custom_components/edgeos/models/storage_data.py

kcleong/homeassistant-config

15b7bc75f5d1055d8620ced87eed9d563475296d

[ "MIT" ]

17

2020-07-17T13:50:48.000Z

2022-03-25T22:10:17.000Z

custom_components/edgeos/models/storage_data.py

kcleong/homeassistant-config

15b7bc75f5d1055d8620ced87eed9d563475296d

[ "MIT" ]

17

2020-07-14T00:09:42.000Z

2021-12-11T22:19:58.000Z

custom_components/edgeos/models/storage_data.py

kcleong/homeassistant-config

15b7bc75f5d1055d8620ced87eed9d563475296d

[ "MIT" ]

7

2020-07-31T10:39:09.000Z

2021-12-11T13:54:25.000Z

from typing import Optional class StorageData: key: Optional[str] def __init__(self): self.key = None @staticmethod def from_dict(obj: dict): data = StorageData() if obj is not None: data.key = obj.get("key") return data def to_dict(self): obj = {"key": self.key} return obj def __repr__(self): to_string = f"{self.to_dict()}" return to_string

16.214286

39

0.557269

a5c1fa949d642f013abe4b39a61b33b0f94038ae

1,345

py

Python

example_applications/composite_median/convert_to_geotiff.py

fangfy/radar

6bb8a10396513711a507f8298c22df0e0565d4a7

[ "Apache-2.0" ]

null

example_applications/composite_median/convert_to_geotiff.py

fangfy/radar

6bb8a10396513711a507f8298c22df0e0565d4a7

[ "Apache-2.0" ]

null

example_applications/composite_median/convert_to_geotiff.py

fangfy/radar

6bb8a10396513711a507f8298c22df0e0565d4a7

[ "Apache-2.0" ]

null

import glob, os from datacube import helpers from datacube.utils import geometry import xarray as xr import subprocess def convert_to_tiff(filename, var=None, outputdir = 'geotiff'): if var is None: ds = xr.open_dataset(filename) varnames = list(ds.data_vars) if None in varnames: raise ValueError(varnames) else: ds = xr.open_dataset(filename) varnames = [var] for var in varnames: outputname = '%s/%s'%(outputdir, filename.split('/')[-1].replace('.nc','_%s.tif'%var.lower())) if os.path.exists(outputname): continue #print(outputname) try: ds_output = ds[var].to_dataset(name=var) except: print(ds.data_vars) #ds_output = ds_output.sortby('y', ascending=False) #ds = ds.astype('float64') ds_output.attrs['crs'] = geometry.CRS('EPSG:3577') #print(ds) helpers.write_geotiff(outputname, ds_output) return varnames filenames = glob.glob('s1_median/*.nc') outputdir = 's1_median_geotiff' for filename in filenames: varnames = convert_to_tiff(filename, outputdir = outputdir) for var in varnames: vrtname = 's1_median.vrt' #if not os.path.exists(vrtname): cmd = 'gdalbuildvrt %s %s/*_%s.tif'%(vrtname, outputdir, var.lower()) subprocess.call(cmd, shell=True)

29.888889

102

0.646097

556ccb15c204a36291b07953e73172d93171cbe1

40,046

py

Python

transformers/modeling_tf_xlm.py

Tarpelite/UniNLP

176c2a0f88c8054bf69e1f92693d353737367c34

[ "MIT" ]

72

2021-05-27T06:32:20.000Z

2022-03-31T03:04:58.000Z

transformers/modeling_tf_xlm.py

DaDaMrX/ReaLiSe

25843e0c2c32b3a364cee857b2e4f5ba8b2764e9

[ "MIT" ]

10

2021-05-27T05:13:50.000Z

2022-03-27T09:10:47.000Z

transformers/modeling_tf_xlm.py

DaDaMrX/ReaLiSe

25843e0c2c32b3a364cee857b2e4f5ba8b2764e9

[ "MIT" ]

13

2021-06-24T04:44:14.000Z

2022-03-03T12:57:23.000Z

# coding=utf-8 # Copyright 2019-present, Facebook, Inc and the HuggingFace Inc. team. # # 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. """ TF 2.0 XLM model. """ from __future__ import absolute_import, division, print_function, unicode_literals import logging import math import os import itertools import numpy as np import tensorflow as tf from .configuration_xlm import XLMConfig from .modeling_tf_utils import TFPreTrainedModel, TFSharedEmbeddings, TFSequenceSummary, shape_list, get_initializer, DUMMY_INPUTS from .file_utils import add_start_docstrings logger = logging.getLogger(__name__) TF_XLM_PRETRAINED_MODEL_ARCHIVE_MAP = { 'xlm-mlm-en-2048': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-en-2048-tf_model.h5", 'xlm-mlm-ende-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-ende-1024-tf_model.h5", 'xlm-mlm-enfr-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-enfr-1024-tf_model.h5", 'xlm-mlm-enro-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-enro-1024-tf_model.h5", 'xlm-mlm-tlm-xnli15-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-tlm-xnli15-1024-tf_model.h5", 'xlm-mlm-xnli15-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-xnli15-1024-tf_model.h5", 'xlm-clm-enfr-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-clm-enfr-1024-tf_model.h5", 'xlm-clm-ende-1024': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-clm-ende-1024-tf_model.h5", 'xlm-mlm-17-1280': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-17-1280-tf_model.h5", 'xlm-mlm-100-1280': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-mlm-100-1280-tf_model.h5", } def create_sinusoidal_embeddings(n_pos, dim, out): position_enc = np.array([ [pos / np.power(10000, 2 * (j // 2) / dim) for j in range(dim)] for pos in range(n_pos) ]) out[:, 0::2] = tf.constant(np.sin(position_enc[:, 0::2])) out[:, 1::2] = tf.constant(np.cos(position_enc[:, 1::2])) def gelu(x): """ Gaussian Error Linear Unit. Original Implementation of the gelu activation function in Google Bert repo when initially created. For information: OpenAI GPT's gelu is slightly different (and gives slightly different results): 0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) Also see https://arxiv.org/abs/1606.08415 """ cdf = 0.5 * (1.0 + tf.math.erf(x / tf.math.sqrt(2.0))) return x * cdf def get_masks(slen, lengths, causal, padding_mask=None, dtype=tf.float32): """ Generate hidden states mask, and optionally an attention mask. """ bs = shape_list(lengths)[0] if padding_mask is not None: mask = padding_mask else: # assert lengths.max().item() <= slen alen = tf.range(slen) mask = tf.math.less(alen, lengths[:, tf.newaxis]) # attention mask is the same as mask, or triangular inferior attention (causal) if causal: attn_mask = tf.less_equal(tf.tile(alen[tf.newaxis, tf.newaxis, :], (bs, slen, 1)), alen[tf.newaxis, :, tf.newaxis]) else: attn_mask = mask # sanity check # assert shape_list(mask) == [bs, slen] tf.debugging.assert_equal(shape_list(mask), [bs, slen]) assert causal is False or shape_list(attn_mask) == [bs, slen, slen] mask = tf.cast(mask, dtype=dtype) attn_mask = tf.cast(attn_mask, dtype=dtype) return mask, attn_mask class TFMultiHeadAttention(tf.keras.layers.Layer): NEW_ID = itertools.count() def __init__(self, n_heads, dim, config, **kwargs): super(TFMultiHeadAttention, self).__init__(**kwargs) self.layer_id = next(TFMultiHeadAttention.NEW_ID) self.output_attentions = config.output_attentions self.dim = dim self.n_heads = n_heads assert self.dim % self.n_heads == 0 self.q_lin = tf.keras.layers.Dense(dim, kernel_initializer=get_initializer(config.init_std), name='q_lin') self.k_lin = tf.keras.layers.Dense(dim, kernel_initializer=get_initializer(config.init_std), name='k_lin') self.v_lin = tf.keras.layers.Dense(dim, kernel_initializer=get_initializer(config.init_std), name='v_lin') self.out_lin = tf.keras.layers.Dense(dim, kernel_initializer=get_initializer(config.init_std), name='out_lin') self.dropout = tf.keras.layers.Dropout(config.attention_dropout) self.pruned_heads = set() def prune_heads(self, heads): raise NotImplementedError def call(self, inputs, training=False): """ Self-attention (if kv is None) or attention over source sentence (provided by kv). """ input, mask, kv, cache, head_mask = inputs # Input is (bs, qlen, dim) # Mask is (bs, klen) (non-causal) or (bs, klen, klen) bs, qlen, dim = shape_list(input) if kv is None: klen = qlen if cache is None else cache['slen'] + qlen else: klen = shape_list(kv)[1] # assert dim == self.dim, 'Dimensions do not match: %s input vs %s configured' % (dim, self.dim) n_heads = self.n_heads dim_per_head = self.dim // n_heads mask_reshape = (bs, 1, qlen, klen) if len(shape_list(mask)) == 3 else (bs, 1, 1, klen) def shape(x): """ projection """ return tf.transpose(tf.reshape(x, (bs, -1, self.n_heads, dim_per_head)), perm=(0, 2, 1, 3)) def unshape(x): """ compute context """ return tf.reshape(tf.transpose(x, perm=(0, 2, 1, 3)), (bs, -1, self.n_heads * dim_per_head)) q = shape(self.q_lin(input)) # (bs, n_heads, qlen, dim_per_head) if kv is None: k = shape(self.k_lin(input)) # (bs, n_heads, qlen, dim_per_head) v = shape(self.v_lin(input)) # (bs, n_heads, qlen, dim_per_head) elif cache is None or self.layer_id not in cache: k = v = kv k = shape(self.k_lin(k)) # (bs, n_heads, qlen, dim_per_head) v = shape(self.v_lin(v)) # (bs, n_heads, qlen, dim_per_head) if cache is not None: if self.layer_id in cache: if kv is None: k_, v_ = cache[self.layer_id] k = tf.concat([k_, k], axis=2) # (bs, n_heads, klen, dim_per_head) v = tf.concat([v_, v], axis=2) # (bs, n_heads, klen, dim_per_head) else: k, v = cache[self.layer_id] cache[self.layer_id] = (k, v) q = q / math.sqrt(dim_per_head) # (bs, n_heads, qlen, dim_per_head) scores = tf.matmul(q, k, transpose_b=True) # (bs, n_heads, qlen, klen) mask = tf.reshape(mask, mask_reshape) # (bs, n_heads, qlen, klen) # scores.masked_fill_(mask, -float('inf')) # (bs, n_heads, qlen, klen) scores = scores - 1e30 * (1.0 - mask) weights = tf.nn.softmax(scores, axis=-1) # (bs, n_heads, qlen, klen) weights = self.dropout(weights, training=training) # (bs, n_heads, qlen, klen) # Mask heads if we want to if head_mask is not None: weights = weights * head_mask context = tf.matmul(weights, v) # (bs, n_heads, qlen, dim_per_head) context = unshape(context) # (bs, qlen, dim) outputs = (self.out_lin(context),) if self.output_attentions: outputs = outputs + (weights,) return outputs class TFTransformerFFN(tf.keras.layers.Layer): def __init__(self, in_dim, dim_hidden, out_dim, config, **kwargs): super(TFTransformerFFN, self).__init__(**kwargs) self.lin1 = tf.keras.layers.Dense(dim_hidden, kernel_initializer=get_initializer(config.init_std), name='lin1') self.lin2 = tf.keras.layers.Dense(out_dim, kernel_initializer=get_initializer(config.init_std), name='lin2') self.act = tf.keras.layers.Activation(gelu) if config.gelu_activation else tf.keras.activations.relu self.dropout = tf.keras.layers.Dropout(config.dropout) def call(self, input, training=False): x = self.lin1(input) x = self.act(x) x = self.lin2(x) x = self.dropout(x, training=training) return x class TFXLMMainLayer(tf.keras.layers.Layer): def __init__(self, config, **kwargs): super(TFXLMMainLayer, self).__init__(**kwargs) self.output_attentions = config.output_attentions self.output_hidden_states = config.output_hidden_states # encoder / decoder, output layer self.is_encoder = config.is_encoder self.is_decoder = not config.is_encoder if self.is_decoder: raise NotImplementedError("Currently XLM can only be used as an encoder") # self.with_output = with_output self.causal = config.causal # dictionary / languages self.n_langs = config.n_langs self.use_lang_emb = config.use_lang_emb self.n_words = config.n_words self.eos_index = config.eos_index self.pad_index = config.pad_index # self.dico = dico # self.id2lang = config.id2lang # self.lang2id = config.lang2id # assert len(self.dico) == self.n_words # assert len(self.id2lang) == len(self.lang2id) == self.n_langs # model parameters self.dim = config.emb_dim # 512 by default self.hidden_dim = self.dim * 4 # 2048 by default self.n_heads = config.n_heads # 8 by default self.n_layers = config.n_layers assert self.dim % self.n_heads == 0, 'transformer dim must be a multiple of n_heads' # embeddings self.dropout = tf.keras.layers.Dropout(config.dropout) self.attention_dropout = tf.keras.layers.Dropout(config.attention_dropout) self.position_embeddings = tf.keras.layers.Embedding(config.max_position_embeddings, self.dim, embeddings_initializer=get_initializer(config.embed_init_std), name='position_embeddings') if config.sinusoidal_embeddings: raise NotImplementedError # create_sinusoidal_embeddings(config.max_position_embeddings, self.dim, out=self.position_embeddings.weight) if config.n_langs > 1 and config.use_lang_emb: self.lang_embeddings = tf.keras.layers.Embedding(self.n_langs, self.dim, embeddings_initializer=get_initializer(config.embed_init_std), name='lang_embeddings') self.embeddings = TFSharedEmbeddings(self.n_words, self.dim, initializer_range=config.embed_init_std, name='embeddings') # padding_idx=self.pad_index) self.layer_norm_emb = tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name='layer_norm_emb') # transformer layers self.attentions = [] self.layer_norm1 = [] self.ffns = [] self.layer_norm2 = [] # if self.is_decoder: # self.layer_norm15 = [] # self.encoder_attn = [] for i in range(self.n_layers): self.attentions.append(TFMultiHeadAttention(self.n_heads, self.dim, config=config, name='attentions_._{}'.format(i))) self.layer_norm1.append(tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name='layer_norm1_._{}'.format(i))) # if self.is_decoder: # self.layer_norm15.append(nn.LayerNorm(self.dim, eps=config.layer_norm_eps)) # self.encoder_attn.append(MultiHeadAttention(self.n_heads, self.dim, dropout=self.attention_dropout)) self.ffns.append(TFTransformerFFN(self.dim, self.hidden_dim, self.dim, config=config, name='ffns_._{}'.format(i))) self.layer_norm2.append(tf.keras.layers.LayerNormalization(epsilon=config.layer_norm_eps, name='layer_norm2_._{}'.format(i))) if hasattr(config, "pruned_heads"): pruned_heads = config.pruned_heads.copy().items() config.pruned_heads = {} for layer, heads in pruned_heads: if self.attentions[int(layer)].n_heads == config.n_heads: self.prune_heads({int(layer): list(map(int, heads))}) def get_input_embeddings(self): return self.embeddings def _resize_token_embeddings(self, new_num_tokens): raise NotImplementedError def _prune_heads(self, heads_to_prune): """ Prunes heads of the model. heads_to_prune: dict of {layer_num: list of heads to prune in this layer} See base class PreTrainedModel """ raise NotImplementedError def call(self, inputs, attention_mask=None, langs=None, token_type_ids=None, position_ids=None, lengths=None, cache=None, head_mask=None, inputs_embeds=None, training=False): # removed: src_enc=None, src_len=None if isinstance(inputs, (tuple, list)): input_ids = inputs[0] attention_mask = inputs[1] if len(inputs) > 1 else attention_mask langs = inputs[2] if len(inputs) > 2 else langs token_type_ids = inputs[3] if len(inputs) > 3 else token_type_ids position_ids = inputs[4] if len(inputs) > 4 else position_ids lengths = inputs[5] if len(inputs) > 5 else lengths cache = inputs[6] if len(inputs) > 6 else cache head_mask = inputs[7] if len(inputs) > 7 else head_mask inputs_embeds = inputs[8] if len(inputs) > 8 else inputs_embeds assert len(inputs) <= 9, "Too many inputs." elif isinstance(inputs, dict): input_ids = inputs.get('input_ids') attention_mask = inputs.get('attention_mask', attention_mask) langs = inputs.get('langs', langs) token_type_ids = inputs.get('token_type_ids', token_type_ids) position_ids = inputs.get('position_ids', position_ids) lengths = inputs.get('lengths', lengths) cache = inputs.get('cache', cache) head_mask = inputs.get('head_mask', head_mask) inputs_embeds = inputs.get('inputs_embeds', inputs_embeds) assert len(inputs) <= 9, "Too many inputs." else: input_ids = inputs if input_ids is not None and inputs_embeds is not None: raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time") elif input_ids is not None: bs, slen = shape_list(input_ids) elif inputs_embeds is not None: bs, slen = shape_list(inputs_embeds)[:2] else: raise ValueError("You have to specify either input_ids or inputs_embeds") if lengths is None: if input_ids is not None: lengths = tf.reduce_sum(tf.cast(tf.not_equal(input_ids, self.pad_index), dtype=tf.int32), axis=1) else: lengths = tf.convert_to_tensor([slen]*bs, tf.int32) # mask = input_ids != self.pad_index # check inputs # assert shape_list(lengths)[0] == bs tf.debugging.assert_equal(shape_list(lengths)[0], bs) # assert lengths.max().item() <= slen # input_ids = input_ids.transpose(0, 1) # batch size as dimension 0 # assert (src_enc is None) == (src_len is None) # if src_enc is not None: # assert self.is_decoder # assert src_enc.size(0) == bs # generate masks mask, attn_mask = get_masks(slen, lengths, self.causal, padding_mask=attention_mask) # if self.is_decoder and src_enc is not None: # src_mask = torch.arange(src_len.max(), dtype=torch.long, device=lengths.device) < src_len[:, None] # position_ids if position_ids is None: position_ids = tf.expand_dims(tf.range(slen), axis=0) else: # assert shape_list(position_ids) == [bs, slen] # (slen, bs) tf.debugging.assert_equal(shape_list(position_ids), [bs, slen]) # position_ids = position_ids.transpose(0, 1) # langs if langs is not None: # assert shape_list(langs) == [bs, slen] # (slen, bs) tf.debugging.assert_equal(shape_list(langs), [bs, slen]) # langs = langs.transpose(0, 1) # Prepare head mask if needed # 1.0 in head_mask indicate we keep the head # attention_probs has shape bsz x n_heads x N x N # input head_mask has shape [num_heads] or [num_hidden_layers x num_heads] # and head_mask is converted to shape [num_hidden_layers x batch x num_heads x qlen x klen] if head_mask is not None: raise NotImplementedError else: head_mask = [None] * self.n_layers # do not recompute cached elements if cache is not None and input_ids is not None: _slen = slen - cache['slen'] input_ids = input_ids[:, -_slen:] position_ids = position_ids[:, -_slen:] if langs is not None: langs = langs[:, -_slen:] mask = mask[:, -_slen:] attn_mask = attn_mask[:, -_slen:] # embeddings if inputs_embeds is None: inputs_embeds = self.embeddings(input_ids) tensor = inputs_embeds + self.position_embeddings(position_ids) if langs is not None and self.use_lang_emb: tensor = tensor + self.lang_embeddings(langs) if token_type_ids is not None: tensor = tensor + self.embeddings(token_type_ids) tensor = self.layer_norm_emb(tensor) tensor = self.dropout(tensor, training=training) tensor = tensor * mask[..., tf.newaxis] # transformer layers hidden_states = () attentions = () for i in range(self.n_layers): if self.output_hidden_states: hidden_states = hidden_states + (tensor,) # self attention attn_outputs = self.attentions[i]([tensor, attn_mask, None, cache, head_mask[i]], training=training) attn = attn_outputs[0] if self.output_attentions: attentions = attentions + (attn_outputs[1],) attn = self.dropout(attn, training=training) tensor = tensor + attn tensor = self.layer_norm1[i](tensor) # encoder attention (for decoder only) # if self.is_decoder and src_enc is not None: # attn = self.encoder_attn[i](tensor, src_mask, kv=src_enc, cache=cache) # attn = F.dropout(attn, p=self.dropout, training=self.training) # tensor = tensor + attn # tensor = self.layer_norm15[i](tensor) # FFN tensor = tensor + self.ffns[i](tensor) tensor = self.layer_norm2[i](tensor) tensor = tensor * mask[..., tf.newaxis] # Add last hidden state if self.output_hidden_states: hidden_states = hidden_states + (tensor,) # update cache length if cache is not None: cache['slen'] += tensor.size(1) # move back sequence length to dimension 0 # tensor = tensor.transpose(0, 1) outputs = (tensor,) if self.output_hidden_states: outputs = outputs + (hidden_states,) if self.output_attentions: outputs = outputs + (attentions,) return outputs # outputs, (hidden_states), (attentions) class TFXLMPreTrainedModel(TFPreTrainedModel): """ An abstract class to handle weights initialization and a simple interface for dowloading and loading pretrained models. """ config_class = XLMConfig pretrained_model_archive_map = TF_XLM_PRETRAINED_MODEL_ARCHIVE_MAP base_model_prefix = "transformer" @property def dummy_inputs(self): # Sometimes XLM has language embeddings so don't forget to build them as well if needed inputs_list = tf.constant([[7, 6, 0, 0, 1], [1, 2, 3, 0, 0], [0, 0, 0, 4, 5]]) attns_list = tf.constant([[1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 0, 0, 1, 1]]) if self.config.use_lang_emb and self.config.n_langs > 1: langs_list = tf.constant([[1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 0, 0, 1, 1]]) else: langs_list = None return [inputs_list, attns_list, langs_list] XLM_START_DOCSTRING = r""" The XLM model was proposed in `Cross-lingual Language Model Pretraining`_ by Guillaume Lample*, Alexis Conneau*. It's a transformer pre-trained using one of the following objectives: - a causal language modeling (CLM) objective (next token prediction), - a masked language modeling (MLM) objective (Bert-like), or - a Translation Language Modeling (TLM) object (extension of Bert's MLM to multiple language inputs) Original code can be found `here`_. This model is a tf.keras.Model `tf.keras.Model`_ sub-class. Use it as a regular TF 2.0 Keras Model and refer to the TF 2.0 documentation for all matter related to general usage and behavior. .. _`Cross-lingual Language Model Pretraining`: https://arxiv.org/abs/1901.07291 .. _`here`: https://github.com/facebookresearch/XLM .. _`tf.keras.Model`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/Model Note on the model inputs: TF 2.0 models accepts two formats as inputs: - having all inputs as keyword arguments (like PyTorch models), or - having all inputs as a list, tuple or dict in the first positional arguments. This second option is usefull when using `tf.keras.Model.fit()` method which currently requires having all the tensors in the first argument of the model call function: `model(inputs)`. If you choose this second option, there are three possibilities you can use to gather all the input Tensors in the first positional argument : - a single Tensor with input_ids only and nothing else: `model(inputs_ids) - a list of varying length with one or several input Tensors IN THE ORDER given in the docstring: `model([input_ids, attention_mask])` or `model([input_ids, attention_mask, token_type_ids])` - a dictionary with one or several input Tensors associaed to the input names given in the docstring: `model({'input_ids': input_ids, 'token_type_ids': token_type_ids})` Parameters: config (:class:`~transformers.XLMConfig`): Model configuration class with all the parameters of the model. Initializing with a config file does not load the weights associated with the model, only the configuration. Check out the :meth:`~transformers.PreTrainedModel.from_pretrained` method to load the model weights. """ XLM_INPUTS_DOCSTRING = r""" Inputs: **input_ids**: ```Numpy array`` or ``tf.Tensor`` of shape ``(batch_size, sequence_length)``: Indices of input sequence tokens in the vocabulary. XLM is a model with absolute position embeddings so it's usually advised to pad the inputs on the right rather than the left. Indices can be obtained using :class:`transformers.XLMTokenizer`. See :func:`transformers.PreTrainedTokenizer.encode` and :func:`transformers.PreTrainedTokenizer.convert_tokens_to_ids` for details. **attention_mask**: (`optional`) ``Numpy array`` or ``tf.Tensor`` of shape ``(batch_size, sequence_length)``: Mask to avoid performing attention on padding token indices. Mask values selected in ``[0, 1]``: ``1`` for tokens that are NOT MASKED, ``0`` for MASKED tokens. **langs**: (`optional`) ```Numpy array`` or ``tf.Tensor`` of shape ``(batch_size, sequence_length)``: A parallel sequence of tokens to be used to indicate the language of each token in the input. Indices are languages ids which can be obtained from the language names by using two conversion mappings provided in the configuration of the model (only provided for multilingual models). More precisely, the `language name -> language id` mapping is in `model.config.lang2id` (dict str -> int) and the `language id -> language name` mapping is `model.config.id2lang` (dict int -> str). **token_type_ids**: (`optional`) ```Numpy array`` or ``tf.Tensor`` of shape ``(batch_size, sequence_length)``: A parallel sequence of tokens (can be used to indicate various portions of the inputs). The embeddings from these tokens will be summed with the respective token embeddings. Indices are selected in the vocabulary (unlike BERT which has a specific vocabulary for segment indices). **position_ids**: (`optional`) ```Numpy array`` or ``tf.Tensor`` of shape ``(batch_size, sequence_length)``: Indices of positions of each input sequence tokens in the position embeddings. Selected in the range ``[0, config.max_position_embeddings - 1]``. **lengths**: (`optional`) ```Numpy array`` or ``tf.Tensor`` of shape ``(batch_size,)``: Length of each sentence that can be used to avoid performing attention on padding token indices. You can also use `attention_mask` for the same result (see above), kept here for compatbility. Indices selected in ``[0, ..., input_ids.size(-1)]``: **cache**: dictionary with ``Numpy array`` or ``tf.Tensor`` that contains pre-computed hidden-states (key and values in the attention blocks) as computed by the model (see `cache` output below). Can be used to speed up sequential decoding. The dictionary object will be modified in-place during the forward pass to add newly computed hidden-states. **head_mask**: (`optional`) ``Numpy array`` or ``tf.Tensor`` of shape ``(num_heads,)`` or ``(num_layers, num_heads)``: Mask to nullify selected heads of the self-attention modules. Mask values selected in ``[0, 1]``: ``1`` indicates the head is **not masked**, ``0`` indicates the head is **masked**. **inputs_embeds**: (`optional`) ``Numpy array`` or ``tf.Tensor`` of shape ``(batch_size, sequence_length, embedding_dim)``: Optionally, instead of passing ``input_ids`` you can choose to directly pass an embedded representation. This is useful if you want more control over how to convert `input_ids` indices into associated vectors than the model's internal embedding lookup matrix. """ @add_start_docstrings("The bare XLM Model transformer outputing raw hidden-states without any specific head on top.", XLM_START_DOCSTRING, XLM_INPUTS_DOCSTRING) class TFXLMModel(TFXLMPreTrainedModel): r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``tf.Tensor`` of shape ``(batch_size, sequence_length, hidden_size)`` Sequence of hidden-states at the last layer of the model. **hidden_states**: (`optional`, returned when ``config.output_hidden_states=True``) list of ``tf.Tensor`` (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 ``tf.Tensor`` (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:: import tensorflow as tf from transformers import XLMTokenizer, TFXLMModel tokenizer = XLMTokenizer.from_pretrained('xlm-mlm-en-2048') model = TFXLMModel.from_pretrained('xlm-mlm-en-2048') input_ids = tf.constant(tokenizer.encode("Hello, my dog is cute"))[None, :] # Batch size 1 outputs = model(input_ids) last_hidden_states = outputs[0] # The last hidden-state is the first element of the output tuple """ def __init__(self, config, *inputs, **kwargs): super(TFXLMModel, self).__init__(config, *inputs, **kwargs) self.transformer = TFXLMMainLayer(config, name='transformer') def call(self, inputs, **kwargs): outputs = self.transformer(inputs, **kwargs) return outputs class TFXLMPredLayer(tf.keras.layers.Layer): """ Prediction layer (cross_entropy or adaptive_softmax). """ def __init__(self, config, input_embeddings, **kwargs): super(TFXLMPredLayer, self).__init__(**kwargs) self.asm = config.asm self.n_words = config.n_words self.pad_index = config.pad_index if config.asm is False: self.input_embeddings = input_embeddings else: raise NotImplementedError # self.proj = nn.AdaptiveLogSoftmaxWithLoss( # in_features=dim, # n_classes=config.n_words, # cutoffs=config.asm_cutoffs, # div_value=config.asm_div_value, # head_bias=True, # default is False # ) def build(self, input_shape): # The output weights are the same as the input embeddings, but there is an output-only bias for each token. self.bias = self.add_weight(shape=(self.n_words,), initializer='zeros', trainable=True, name='bias') super(TFXLMPredLayer, self).build(input_shape) def call(self, hidden_states): hidden_states = self.input_embeddings(hidden_states, mode="linear") hidden_states = hidden_states + self.bias return hidden_states @add_start_docstrings("""The XLM Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings). """, XLM_START_DOCSTRING, XLM_INPUTS_DOCSTRING) class TFXLMWithLMHeadModel(TFXLMPreTrainedModel): r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **prediction_scores**: ``tf.Tensor`` of shape ``(batch_size, sequence_length, config.vocab_size)`` Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax). **hidden_states**: (`optional`, returned when ``config.output_hidden_states=True``) list of ``tf.Tensor`` (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 ``tf.Tensor`` (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:: import tensorflow as tf from transformers import XLMTokenizer, TFXLMWithLMHeadModel tokenizer = XLMTokenizer.from_pretrained('xlm-mlm-en-2048') model = TFXLMWithLMHeadModel.from_pretrained('xlm-mlm-en-2048') input_ids = tf.constant(tokenizer.encode("Hello, my dog is cute"))[None, :] # Batch size 1 outputs = model(input_ids) last_hidden_states = outputs[0] # The last hidden-state is the first element of the output tuple """ def __init__(self, config, *inputs, **kwargs): super(TFXLMWithLMHeadModel, self).__init__(config, *inputs, **kwargs) self.transformer = TFXLMMainLayer(config, name='transformer') self.pred_layer = TFXLMPredLayer(config, self.transformer.embeddings, name='pred_layer_._proj') def get_output_embeddings(self): return self.pred_layer.input_embeddings def call(self, inputs, **kwargs): transformer_outputs = self.transformer(inputs, **kwargs) output = transformer_outputs[0] outputs = self.pred_layer(output) outputs = (outputs,) + transformer_outputs[1:] # Keep new_mems and attention/hidden states if they are here return outputs @add_start_docstrings("""XLM Model with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks. """, XLM_START_DOCSTRING, XLM_INPUTS_DOCSTRING) class TFXLMForSequenceClassification(TFXLMPreTrainedModel): r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **logits**: ``tf.Tensor`` of shape ``(batch_size, config.num_labels)`` Classification (or regression if config.num_labels==1) scores (before SoftMax). **hidden_states**: (`optional`, returned when ``config.output_hidden_states=True``) list of ``tf.Tensor`` (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 ``tf.Tensor`` (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:: import tensorflow as tf from transformers import XLMTokenizer, TFXLMForSequenceClassification tokenizer = XLMTokenizer.from_pretrained('xlm-mlm-en-2048') model = TFXLMForSequenceClassification.from_pretrained('xlm-mlm-en-2048') input_ids = tf.constant(tokenizer.encode("Hello, my dog is cute"))[None, :] # Batch size 1 labels = tf.constant([1])[None, :] # Batch size 1 outputs = model(input_ids) logits = outputs[0] """ def __init__(self, config, *inputs, **kwargs): super(TFXLMForSequenceClassification, self).__init__(config, *inputs, **kwargs) self.num_labels = config.num_labels self.transformer = TFXLMMainLayer(config, name='transformer') self.sequence_summary = TFSequenceSummary(config, initializer_range=config.init_std, name='sequence_summary') def call(self, inputs, **kwargs): transformer_outputs = self.transformer(inputs, **kwargs) output = transformer_outputs[0] logits = self.sequence_summary(output) outputs = (logits,) + transformer_outputs[1:] # Keep new_mems and attention/hidden states if they are here return outputs @add_start_docstrings("""XLM Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`). """, XLM_START_DOCSTRING, XLM_INPUTS_DOCSTRING) class TFXLMForQuestionAnsweringSimple(TFXLMPreTrainedModel): r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **start_scores**: ``tf.Tensor`` of shape ``(batch_size, sequence_length,)`` Span-start scores (before SoftMax). **end_scores**: ``tf.Tensor`` of shape ``(batch_size, sequence_length,)`` Span-end scores (before SoftMax). **hidden_states**: (`optional`, returned when ``config.output_hidden_states=True``) list of ``tf.Tensor`` (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 ``tf.Tensor`` (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:: import tensorflow as tf from transformers import XLMTokenizer, TFXLMForQuestionAnsweringSimple tokenizer = XLMTokenizer.from_pretrained('xlm-mlm-en-2048') model = TFXLMForQuestionAnsweringSimple.from_pretrained('xlm-mlm-en-2048') input_ids = tf.constant(tokenizer.encode("Hello, my dog is cute"))[None, :] # Batch size 1 outputs = model(input_ids) start_scores, end_scores = outputs[:2] """ def __init__(self, config, *inputs, **kwargs): super(TFXLMForQuestionAnsweringSimple, self).__init__(config, *inputs, **kwargs) self.transformer = TFXLMMainLayer(config, name='transformer') self.qa_outputs = tf.keras.layers.Dense(config.num_labels, kernel_initializer=get_initializer(config.init_std), name='qa_outputs') def call(self, inputs, **kwargs): transformer_outputs = self.transformer(inputs, **kwargs) sequence_output = transformer_outputs[0] logits = self.qa_outputs(sequence_output) start_logits, end_logits = tf.split(logits, 2, axis=-1) start_logits = tf.squeeze(start_logits, axis=-1) end_logits = tf.squeeze(end_logits, axis=-1) outputs = (start_logits, end_logits,) + transformer_outputs[1:] # Keep mems, hidden states, attentions if there are in it return outputs # start_logits, end_logits, (hidden_states), (attentions)

51.940337

194

0.626979

a1f720621798865ff07c968196102e0f3e462be4

3,324

py

Python

src/CryptoPlus/Cipher/python_DES3.py

voytecPL/pycryptoplus

86905bbb8661e00cfb2afdc4461d4a79b6429d8a

[ "MIT" ]

1

2022-02-27T17:46:18.000Z

src/CryptoPlus/Cipher/python_DES3.py

voytecPL/pycryptoplus

86905bbb8661e00cfb2afdc4461d4a79b6429d8a

[ "MIT" ]

null

src/CryptoPlus/Cipher/python_DES3.py

voytecPL/pycryptoplus

86905bbb8661e00cfb2afdc4461d4a79b6429d8a

[ "MIT" ]

null

from .blockcipher import * from . import pyDes def new(key,mode=MODE_ECB,IV=None,counter=None,segment_size=None): """Create a DES-EDE3 or DES-EDE2 cipher object wrapper for pure python 3DES implementation pyDes.py key = raw string containing the 2/3 keys - DES-EDE2: supply 2 keys as 1 single concatenated 16byte key= key1|key2 - DES-EDE3: supply 3 keys as 1 single concatenated 24byte key= key1|key2|key3 mode = python_AES.MODE_ECB/CBC/CFB/OFB/CTR/CMAC, default is ECB IV = IV as a raw string, default is "all zero" IV -> only needed for CBC mode counter = counter object (CryptoPlus.Util.util.Counter) -> only needed for CTR mode segment_size = amount of bits to use from the keystream in each chain part -> supported values: multiple of 8 between 8 and the blocksize of the cipher (only per byte access possible), default is 8 -> only needed for CFB mode EXAMPLES: ********** IMPORTING: ----------- >>> import codecs >>> from CryptoPlus.Cipher import python_DES3 CBC TDES-EDE3 EXAMPLE: (using test vectors from http://csrc.nist.gov/groups/STM/cavp/documents/des/DESMMT.pdf) ------------ >>> key = codecs.decode('37ae5ebf46dff2dc0754b94f31cbb3855e7fd36dc870bfae', 'hex') >>> IV = codecs.decode('3d1de3cc132e3b65', 'hex') >>> cipher = python_DES3.new(key, python_DES3.MODE_CBC, IV) >>> ciphertext = cipher.encrypt(codecs.decode('84401f78fe6c10876d8ea23094ea5309', 'hex')) >>> codecs.encode(ciphertext, 'hex') b'7b1f7c7e3b1c948ebd04a75ffba7d2f5' >>> decipher = python_DES3.new(key, python_DES3.MODE_CBC, IV) >>> plaintext = decipher.decrypt(ciphertext) >>> codecs.encode(plaintext, 'hex') b'84401f78fe6c10876d8ea23094ea5309' CMAC TDES-EDE3 EXAMPLE: ------------- testvector: http://csrc.nist.gov/publications/nistpubs/800-38B/Updated_CMAC_Examples.pdf >>> key = codecs.decode('8aa83bf8cbda10620bc1bf19fbb6cd58bc313d4a371ca8b5', 'hex') >>> plaintext = codecs.decode('6bc1bee22e409f96e93d7e117393172aae2d8a57', 'hex') >>> cipher = python_DES3.new(key, python_DES3.MODE_CMAC) >>> codecs.encode(cipher.encrypt(plaintext), 'hex') b'743ddbe0ce2dc2ed' CMAC TDES-EDE2 EXAMPLE: ----------------------- testvector: http://csrc.nist.gov/groups/STM/cavp/documents/mac/cmactestvectors.zip >>> key1 = codecs.decode("5104f2c76180c1d3", 'hex') >>> key2 = codecs.decode("b9df763e31ada716", 'hex') >>> key = key1 + key2 >>> plaintext = codecs.decode('a6866be2fa6678f264a19c4474968e3f4eec24f5086d', 'hex') >>> cipher = python_DES3.new(key, python_DES3.MODE_CMAC) >>> codecs.encode(cipher.encrypt(plaintext), 'hex') b'32e7758f3f614dbf'""" return python_DES3(key,mode,IV,counter,segment_size) class python_DES3(BlockCipher): key_error_message = "Key should be 128 or 192 bits" def __init__(self,key,mode,IV,counter,segment_size): cipher_module = pyDes.triple_des self.blocksize = 8 BlockCipher.__init__(self,key,mode,IV,counter,cipher_module,segment_size) def keylen_valid(self,key): return len(key) in (16,24) def _test(): import doctest doctest.testmod() if __name__ == "__main__": _test()

40.536585

114

0.672383

0a6d7a88bf9f59da10422af70cfacd7ecc61abd4

4,186

py

Python

seller_app/serializers/store_serializers.py

syz247179876/e_mall

f94e39e091e098242342f532ae371b8ff127542f

[ "Apache-2.0" ]

7

2021-04-10T13:20:56.000Z

2022-03-29T15:00:29.000Z

seller_app/serializers/store_serializers.py

syz247179876/E_mall

f94e39e091e098242342f532ae371b8ff127542f

[ "Apache-2.0" ]

9

2021-05-11T03:53:31.000Z

2022-03-12T00:58:03.000Z

seller_app/serializers/store_serializers.py

syz247179876/E_mall

f94e39e091e098242342f532ae371b8ff127542f

[ "Apache-2.0" ]

2

2020-11-24T08:59:22.000Z

2020-11-24T14:10:59.000Z

# -*- coding: utf-8 -*- # @Time : 2021/2/18 下午4:49 # @Author : 司云中 # @File : store_serializers.py # @Software: Pycharm from django.contrib.auth import get_user_model from django.db import DatabaseError, transaction from rest_framework import serializers from Emall.exceptions import DataFormatError, SqlServerError, DataExisted, DataNotExist from manager_app.models import Role from seller_app.models import Store, Seller User = get_user_model() class SellerStoreSerializer(serializers.ModelSerializer): class Meta: model = Store seller_model = Seller role_model = Role fields = ('id', 'name', 'intro') read_only_fields = ('id',) extra_kwargs = { 'intro': {'required': False} } def create_store(self): """创建店铺""" intro = self.validated_data.pop('intro', None) if not intro or len(intro) > 128: raise DataFormatError() credential = { 'name': self.validated_data.pop('name'), 'intro': intro } try: role = self.Meta.role_model.objects.get(role_name="商家角色") user = self.context.get('request').user # 判断该用户是否已经开店 if self.Meta.seller_model.objects.filter(user=user).exists(): raise DataExisted() with transaction.atomic(): store = self.Meta.model.objects.create(**credential) # 创建店铺 self.Meta.seller_model.objects.create(user=user, store=store, role=role) # 创建商家 user.is_seller = True # 将该用户升级成商家,具备商家权限 user.save(force_update=True) except self.Meta.role_model.DoesNotExist: raise DataNotExist() except DatabaseError: raise SqlServerError() class SellerUserDisplaySerializer(serializers.ModelSerializer): """商家个人信息序列化器""" class Meta: model = User fields = ('username', 'full_name', 'email', 'phone', 'is_seller', 'is_active', 'birthday', 'sex', 'head_image', 'date_joined') class SellerStoreDisplaySerializer(serializers.ModelSerializer): """商家店铺信息序列化器""" type = serializers.CharField(source='get_type_display', read_only=True) rank = serializers.CharField(source='get_rank_display', read_only=True) class Meta: model = Store fields = '__all__' class SellerRoleDisplaySerializer(serializers.ModelSerializer): class Meta: model = Role exclude = ['permission'] class SellerDisplaySerializer(serializers.ModelSerializer): """商家个人信息+店铺信息序列化器""" user = SellerUserDisplaySerializer() store = SellerStoreDisplaySerializer() role = SellerRoleDisplaySerializer() class Meta: model = Seller fields = '__all__' class SellerUpdateInfoSerializer(serializers.ModelSerializer): """ 商家更新个人信息序列化器 """ class Meta: model = User fields = ('username', 'email', 'phone', 'birthday', 'sex') def modify(self): user = self.context.get('request').user user.username = self.validated_data.get('username', None) or user.username user.email = self.validated_data.get('email', None) or user.email user.phone = self.validated_data.get('phone', None) or user.phone user.sex = self.validated_data.get('sex', None) or user.sex user.save(update_fields=['username', 'email', 'phone', 'sex']) class SellerUpdateStoreSerializer(serializers.ModelSerializer): """ 商家更新店铺相关信息序列化器 """ class Meta: model = Store seller_model = Seller fields = ('pk', 'name', 'intro', 'province') extra_kwargs = { 'province':{ 'required':True } } def modify(self): pk = self.context.get('request').data.get('pk', None) if not pk: raise DataFormatError('缺少数据') user = self.context.get('request').user queryset = self.Meta.model.objects.select_related('seller__user').filter(pk=pk, seller__user=user) if queryset.count() == 0: raise DataNotExist() return queryset.update(**self.validated_data)

30.115108

106

0.624224

6f987472ae44a7be32f3429977356ff14a3a1112

390

py

Python

414. Third Maximum Number/other.py

hotheat/LeetCode

c37f44f71a0e266aa8078c95506e6aa54ce4660c

[ "MIT" ]

2

2019-03-05T08:31:14.000Z

2019-03-21T15:11:43.000Z

414. Third Maximum Number/other.py

hotheat/LeetCode

c37f44f71a0e266aa8078c95506e6aa54ce4660c

[ "MIT" ]

null

414. Third Maximum Number/other.py

hotheat/LeetCode

c37f44f71a0e266aa8078c95506e6aa54ce4660c

[ "MIT" ]

null

class Solution(object): def thirdMax(self, nums): v = [float('-inf'), float('-inf'), float('-inf')] for num in nums: if num not in v: if num > v[0]: v = [num, v[0], v[1]] elif num > v[1]: v = [v[0], num, v[1]] elif num > v[2]: v = [v[0], v[1], num] return max(nums) if v[2] == float('-inf') else v[2]

43.333333

59

0.425641

51cddac32a5b7d11a3d2fbfcafc4d90da10b215f

1,330

py

Python

sfc_models/examples/scripts/intro_3_03_hello_world_1.py

MachineLP/SFC_models

d438a4e3e88534a206c761cda7a3f6a58ac3a0ac

[ "Apache-2.0" ]

21

2016-11-03T12:30:50.000Z

2022-03-24T06:54:14.000Z

sfc_models/examples/scripts/intro_3_03_hello_world_1.py

MachineLP/SFC_models

d438a4e3e88534a206c761cda7a3f6a58ac3a0ac

[ "Apache-2.0" ]

1

2019-04-02T02:01:27.000Z

2019-04-07T21:07:10.000Z

sfc_models/examples/scripts/intro_3_03_hello_world_1.py

MachineLP/SFC_models

d438a4e3e88534a206c761cda7a3f6a58ac3a0ac

[ "Apache-2.0" ]

12

2016-11-03T12:30:57.000Z

2021-09-14T23:08:23.000Z

""" intro_3_03_hello_world_1.py Example code from Section 3.3 of "Introduction to SFC Models Using Python." This example does not create a useful model, but it and following examples demonstrate how models are built up by examining the log file. Copyright 2017 Brian Romanchuk 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. """ # This next line looks bizarre, but is needed for backwards compatibility with Python 2.7. from __future__ import print_function import sfc_models from sfc_models.models import Model print('*Starting up logging*') # Log files are based on name of this module, which is given by: __file__ sfc_models.register_standard_logs(output_dir='output', base_file_name=__file__) print('*Build Model*') mod = Model() print('*Running main()*') print('*(This will cause a warning...)*') mod.main()

34.102564

90

0.762406

98f6e5eebae81baa9cf19ba3faa9c93d2d474df5

913

bzl

Python

third_party/hexagon/workspace.bzl

vixadd/tensorflow

8c624204eb686a91779149dc500e6c8c60096074

[ "Apache-2.0" ]

190,993

2015-11-09T13:17:30.000Z

2022-03-31T23:05:27.000Z

third_party/hexagon/workspace.bzl

vixadd/tensorflow

8c624204eb686a91779149dc500e6c8c60096074

[ "Apache-2.0" ]

48,461

2015-11-09T14:21:11.000Z

2022-03-31T23:17:33.000Z

third_party/hexagon/workspace.bzl

vixadd/tensorflow

8c624204eb686a91779149dc500e6c8c60096074

[ "Apache-2.0" ]

104,981

2015-11-09T13:40:17.000Z

2022-03-31T19:51:54.000Z

"""Loads the Hexagon NN Header files library, used by TF Lite.""" load("//third_party:repo.bzl", "tf_http_archive") # Note: Use libhexagon_nn_skel version 1.20 Only with the current version. # This comment will be updated with compatible version. def repo(): tf_http_archive( name = "hexagon_nn", sha256 = "6eaf6d8eabfcb3486753c68f22fd6c1eabf8fae28bf52e4ebea815e9daf67257", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/storage.cloud.google.com/download.tensorflow.org/tflite/hexagon_nn_headers_v1.20.0.3.tgz", # Repeated to bypass 'at least two urls' check. TODO(karimnosseir): add original source of this package. "https://storage.googleapis.com/mirror.tensorflow.org/storage.cloud.google.com/download.tensorflow.org/tflite/hexagon_nn_headers_v1.20.0.3.tgz", ], build_file = "//third_party/hexagon:BUILD", )

50.722222

156

0.715225

8a63f5cedc0db5f4d141dd8af7b72332589197d8

7,984

py

Python

utils/solver.py

tings0802/LdG-sim

46dc04c9f91fd0a3afdd8e83509c70692656e1ea

[ "MIT" ]

5

2020-03-04T06:38:43.000Z

2021-05-19T10:36:04.000Z

utils/solver.py

tings0802/LdG-sim

46dc04c9f91fd0a3afdd8e83509c70692656e1ea

[ "MIT" ]

null

utils/solver.py

tings0802/LdG-sim

46dc04c9f91fd0a3afdd8e83509c70692656e1ea

[ "MIT" ]

1

2020-03-24T05:54:26.000Z

import numpy as np from utils import utility as u from utils import param as p from utils import cond as c from utils import mesh as m def println(Q): ''' print for debug ''' for i in Q: for j in i: print(j, end=' ') print() print() """ transform n and S into Q """ def Q_tensor(n, S=1, P=0): ''' calculate the Q tensor of a certain position which evalueates the liquid crystal molecule's orientation, degree of order and biaxiality ''' Q = np.zeros((3, 3)) for row in range(3): for col in range(3): if row == col: Q[row, col] = (3 * n[row] * n[col] - 1) * (S / 2) - (Q[0, 0] + Q[1, 1] + Q[2, 2]) / 3 else: Q[row, col] = (3 * n[row] * n[col] - 0) * (S / 2) return Q def Q_init(n, S=1, P=0): ''' calculate the Q tensor of a certain position which evalueates the liquid crystal molecule's orientation, degree of order and biaxiality ''' Q = np.zeros((3, 3)) for row in range(3): for col in range(3): if row == col: Q[row, col] = (3 * n[row] * n[col] - 1) * (S / 2) else: Q[row, col] = (3 * n[row] * n[col] - 0) * (S / 2) return Q def all_Q(mesh): for layer in mesh: for line in layer: for grid in line: Q = Q_init(grid.n, grid.S, grid.P) grid.Q = Q # deprecated def tensor_Q(n, S=1, P=0): ''' (Deprecated) calculate the Q tensor of a certain position which evalueates the liquid crystal molecule's orientation, degree of order and biaxiality ''' n = np.array(n) Q = (np.outer(n, n) * 3 - np.eye(3)) * (S / 2) Q -= np.trace(Q) * np.eye(3) / 3 return Q """ solve n and S field from Q """ def eigen(grid): ''' find the max eigenvalue and the corresponding normalized eigvector of Q ''' eigval, eigvec = np.linalg.eig(grid.Q) idx = np.argmax(eigval) S = eigval[idx] n = eigvec[:, idx] grid.S = S grid.n = n return S, n Eigen = np.vectorize(eigen) """ iteration """ # deprecated def retrive_Q(mesh): ''' (Deprecated) retrive the tensorial order parameter Q from mesh and store it as a big 3*3 tuple ''' all_Q = np.vectorize(lambda grid, i, j: grid.Q[i, j]) Qs = np.empty((3, 3)) for i in range(3): for j in range(3): Qs[i, j] = all_Q(mesh, i, j) return Qs # shape = (3, 3, 27, 27, 17) # deprecated def laplace(Qs, i, j): ''' (Deprecated) finite difference discrete laplacian of Q_ij of all the points in the mesh ''' lap_Q = np.empty((p.x_nog, p.y_nog, p.z_nog)) for x in range(p.x_nog): for y in range(p.y_nog): for z in range(p.z_nog): lap_Q[x, y, z] = np.average(Qs[i, j, x-1, y, z], Qs[i, j, x+1, y, z], Qs[i, j, x, y-1, z], Qs[i, j, x, y+1, z], Qs[i, j, x, y, z-1], Qs[i, j, x, y, z+1]) - Qs[i, j, x, y, z] return lap_Q # shape = (27, 27, 17) # deprecated def normal_dot_gradient(Qs, i, j, dr=p.dr_lap): ''' (Deprecated) inner product of gradient of Q_ij and the surface normal of all the points in the mesh ''' # surface normal = normalized r field (shape = 27 * 27 * 17) grad_Q = np.empty((p.x_nog, p.y_nog, p.z_nog)) for x in range(p.x_nog): for y in range(p.y_nog): for z in range(p.z_nog): normal = np.array((x, y, z)) / np.linalg.norm(normal) grad_Q[x, y, z] = sum(normal[0] * (Qs[i, j, x, y, z] - Qs[i, j, x-1, y, z]) / dr, normal[1] * (Qs[i, j, x, y, z] - Qs[i, j, x, y-1, z]) / dr, normal[2] * (Qs[i, j, x, y, z] - Qs[i, j, x, y, z-1]) / dr) return grad_Q # shape = (27, 27, 17) def laplacian(mesh): ''' finite difference discrete laplacian of Q_ij of all the points in the mesh ''' lap_Qs = np.empty((*mesh.shape, 3, 3)) for x in range(p.x_nog): for y in range(p.y_nog): for z in range(1, p.z_nog-1): if x == 0: x = -2 elif x == p.x_nog - 1: x = 1 if y == 0: y = -2 elif y == p.y_nog - 1: y = 1 q1 = mesh[x-1, y, z].Q q2 = mesh[x+1, y, z].Q q3 = mesh[x, y-1, z].Q q4 = mesh[x, y+1, z].Q q5 = mesh[x, y, z-1].Q q6 = mesh[x, y, z+1].Q temp = np.array([q1, q2, q3, q4, q5, q6]) lap_Qs[x, y, z] = np.average(temp, axis=0) - mesh[x, y, z].Q return lap_Qs # shape = (27, 27, 17, 3, 3) def gradient(mesh, dx=p.dr_lap, dy=p.dr_lap, dz=p.dr_lap): ''' gradient of Q_ij of all the points in the mesh ''' grad_Qs = np.empty((*mesh.shape, 3, 3, 3)) for x in range(p.x_nog): for y in range(p.y_nog): for z in range(p.z_nog): grad_Qs[x, y, z] = np.array([(mesh[x, y, z].Q - mesh[x-1, y, z].Q) / dx, (mesh[x, y, z].Q - mesh[x, y-1, z].Q) / dy, (mesh[x, y, z].Q - mesh[x, y, z-1].Q) / dz]) return grad_Qs # shape = (27, 27, 17, 3, 3, 3) def h_bulk(Q, lap_Q, L=p.L, A=p.A, B=p.B, C=p.C): ''' solve the molecular field on the bulk area ''' h = np.empty((3, 3)) for i in range(3): for j in range(3): h[i, j] = (L * lap_Q[i, j] - A * Q[i, j] - B * np.sum(np.multiply(Q[i], Q.T[j])) - C * Q[i, j] * np.sum(np.multiply(Q, Q.T))) return h def h_surf(Q, grad_Q, Q_bound, surf_normal, W=p.W_sub, L=p.L): ''' solve the molecular field on the surface of substrate or sphere ''' h = np.empty((3, 3)) for i in range(3): for j in range(3): h[i, j] = (L * grad_Q[i, j].dot(surf_normal)) + W * (Q[i, j] - Q_bound[i, j]) return h def evolute(mesh, L=p.L, A=p.A, B=p.B, C=p.C, W_subs=p.W_sub, W_shel=p.W_she, dt=p.dt, gamma=p.gamma): lap_Qs = laplacian(mesh) grad_Qs = gradient(mesh) for x in range(p.x_nog): for y in range(p.y_nog): for z in range(p.z_nog): grid = mesh[x, y, z] lap_Q = lap_Qs[x, y, z] grad_Q = grad_Qs[x, y, z] if c.is_top(grid) or c.is_bot(grid): # h_surf of substrate Q_bound = Q_tensor(p.n_subs, p.S_subs) grid.h = h_surf(grid.Q, grad_Q, Q_bound=Q_bound, surf_normal=np.array([0, 0, 1]), W=W_subs) elif c.is_osh(grid) or c.is_ish(grid): # h_surf of shell Q_bound = Q_tensor(c.envelope(grid, p.n_shel), p.S_subs) grid.h = h_surf(grid.Q, grad_Q, Q_bound=Q_bound, surf_normal=u.cartesian(grid.r), W=W_shel) else: # h_bulk grid.h = h_bulk(grid.Q, lap_Q) newQ = grid.Q + grid.h * dt / gamma newQ -= np.trace(newQ) * np.eye(3) / 3 # EL modification symmetric = (abs(np.transpose(newQ) - newQ) <= np.full((3, 3), 2e-8)).all() if not symmetric: print(f'\nnewQ =\n{newQ}\n') print(f'\nnp.transpose(newQ) =\n{np.transpose(newQ)}\n') print(f'\nnewQ - np.transpose(newQ) =\n{newQ - np.transpose(newQ)}\n') grid.Q = newQ if __name__ == "__main__": a = np.arange(1, 28).reshape([3, 3, 3]) print(a) b = np.array([1, 2, 3]) print(b) c = np.sum(np.multiply(a, b), axis=0) print(c) # TODO: XZ-periodic boundary ''' # XZ-periodic boundary F_bulk = F_subs = F_shel = F_total = F_bulk + F_subs + F_shel '''

37.308411

157

0.482715

293e99aa89dafb98cb814fd532a9cd9c3951e83c

1,935

py

Python

src/Current Models/Misc/vase.py

PharaohCola13/Geotesimal

45de6fb9a587ae8eb3c85d0acd6b93c36fa7bf24

[ "MIT" ]

3

2018-12-13T20:11:18.000Z

2022-01-13T13:51:19.000Z

src/Current Models/Misc/vase.py

PharaohCola13/geometric-models

45de6fb9a587ae8eb3c85d0acd6b93c36fa7bf24

[ "MIT" ]

5

2018-10-19T18:18:05.000Z

2021-06-10T00:20:52.000Z

src/Current Models/Misc/vase.py

PharaohCola13/geometric-models

45de6fb9a587ae8eb3c85d0acd6b93c36fa7bf24

[ "MIT" ]

1

2018-10-17T05:32:26.000Z

#{u, Sin[v]*(u^3+2u^2-2u+2)/5, Cos[v]*(u^3+2u^2-2u+2)/5} # A Vase, brought to you by PharaohCola13 import mpl_toolkits.mplot3d.axes3d as p3 import matplotlib.pyplot as plt from mpl_toolkits.mplot3d.art3d import * from matplotlib.animation import * from matplotlib import * from numpy import * name = "Vase" def shape(fig, alpha, color, edge_c, edge_w, grid, sides, edges, multi_pi, figcolor, rotation, rotmagt, rotmagp, save): # Definition of x def x_(u, v): x = cos(v) * (u**3 + 2 * u**2 - 2 * u + 2)/5 return x # Definition of y def y_(u, v): y = sin(v) * (u**3 + 2 * u**2 - 2 * u + 2)/5 return y # Definition of z def z_(u, v): z = u return z # Value of the angles u = linspace(-2.3, 1.3, edges) v = linspace(0, 2 * pi, sides + 1) u, v = meshgrid(u, v) # Symbolic representation x = x_(u, v) y = y_(u, v) z = z_(u, v) # Figure Properties ax = p3.Axes3D(fig) ax.set_facecolor(figcolor) # Figure background turns black # Axis Properties plt.axis(grid) # Turns off the axis grid # Surface Plot vase = ax.plot_surface(x, y, z) vase.set_alpha(alpha) # Transparency of figure vase.set_edgecolor(edge_c) # Edge color of the lines on the figure vase.set_linewidth(edge_w) # Line width of the edges vase.set_facecolor(color) # General color of the figure def rot_on(): def animate(i): ax.view_init(azim=rotmagt * i, elev=rotmagp * i) if save == "MP4": # Animate ani = FuncAnimation(fig, animate, frames=500, interval=100, save_count=50) # frames=100)#, repeat=True) Writer = writers['ffmpeg'] writer = Writer(fps=30, bitrate=1800) ani.save('{}.mp4'.format(name), writer=writer) else: # save = None # Animate ani = FuncAnimation(fig, animate, interval=1, save_count=50) # frames=100)#, repeat=True) pass plt.ion() plt.show() time.sleep(0) plt.close() if rotation == "On": rot_on() elif rotation == "Off": pass

22.5

119

0.643411

5970e7dd60eaedc92a93ddde799b8b0305bb3d7f

8,999

py

Python

sscanss/core/io/writer.py

ISISNeutronMuon/SScanSS-2

aa70107c8771e0ed0c1202a683ad94de84dff411

[ "BSD-3-Clause" ]

9

2018-09-09T13:45:38.000Z

2022-01-04T09:02:37.000Z

sscanss/core/io/writer.py

ISISNeutronMuon/SScanSS-2

aa70107c8771e0ed0c1202a683ad94de84dff411

[ "BSD-3-Clause" ]

21

2020-10-07T14:37:01.000Z

2022-03-18T09:14:35.000Z

sscanss/core/io/writer.py

ISISNeutronMuon/SScanSS-2

aa70107c8771e0ed0c1202a683ad94de84dff411

[ "BSD-3-Clause" ]

8

2019-11-18T12:00:35.000Z

2022-02-17T13:35:15.000Z

""" A collection of functions for writing data """ import csv import datetime as dt import h5py import numpy as np from ...config import __version__, settings def write_project_hdf(data, filename): """Writes the project data dictionary to a hdf file :param data: A dictionary containing the project data :type data: dict :param filename: path of the hdf file :type filename: str """ with h5py.File(filename, 'w') as hdf_file: hdf_file.attrs['name'] = data['name'] hdf_file.attrs['version'] = __version__ hdf_file.attrs['instrument_version'] = data['instrument_version'] date_created = dt.datetime.now().strftime("%Y-%m-%d %H:%M:%S") hdf_file.attrs['date_created'] = date_created if settings.local: setting_group = hdf_file.create_group('settings') for key, value in settings.local.items(): setting_group.attrs[key] = value samples = data['sample'] sample_group = hdf_file.create_group('sample', track_order=True) for key, sample in samples.items(): sample_group.create_group(key) sample_group[key]['vertices'] = sample.vertices sample_group[key]['indices'] = sample.indices fiducials = data['fiducials'] fiducial_group = hdf_file.create_group('fiducials') fiducial_group['points'] = fiducials.points fiducial_group['enabled'] = fiducials.enabled measurements = data['measurement_points'] measurement_group = hdf_file.create_group('measurement_points') measurement_group['points'] = measurements.points measurement_group['enabled'] = measurements.enabled vectors = data['measurement_vectors'] hdf_file.create_dataset('measurement_vectors', data=vectors) alignment = data['alignment'] if alignment is not None: hdf_file.create_dataset('alignment', data=alignment) instrument = data['instrument'] hdf_file.attrs['instrument_name'] = instrument.name _write_instrument(hdf_file, instrument) def _write_instrument(hdf_file, instrument): instrument_group = hdf_file.create_group('instrument') instrument_group.attrs['name'] = instrument.name instrument_group['gauge_volume'] = instrument.gauge_volume instrument_group.attrs['script_template'] = instrument.script.template positioners_group = instrument_group.create_group('positioners') for key, positioner in instrument.positioners.items(): group = positioners_group.create_group(key) group.attrs['name'] = positioner.name group['default_base'] = positioner.default_base group['tool'] = positioner.tool if positioner.base_mesh is not None: group['base_mesh_vertices'] = positioner.base_mesh.vertices group['base_mesh_indices'] = positioner.base_mesh.indices group['base_mesh_colour'] = positioner.base_mesh.colour.rgbaf group['order'] = positioner.order group = group.create_group('links', track_order=True) for link in positioner.links: sub_group = group.create_group(link.name) sub_group['axis'] = link.joint_axis sub_group['point'] = link.home sub_group.attrs['type'] = link.type.value sub_group.attrs['lower_limit'] = link.lower_limit sub_group.attrs['upper_limit'] = link.upper_limit sub_group.attrs['default_offset'] = link.default_offset if link.mesh is not None: sub_group['mesh_vertices'] = link.mesh.vertices sub_group['mesh_indices'] = link.mesh.indices sub_group['mesh_colour'] = link.mesh.colour.rgbaf stacks_group = instrument_group.create_group('stacks') for key, value in instrument.positioning_stacks.items(): stacks_group.attrs[key] = value active_stack_group = stacks_group.create_group('active') active_stack_group.attrs['name'] = instrument.positioning_stack.name active_stack_group['set_points'] = instrument.positioning_stack.set_points active_stack_group['lock_state'] = [link.locked for link in instrument.positioning_stack.links] active_stack_group['limit_state'] = [link.ignore_limits for link in instrument.positioning_stack.links] for index, positioner in enumerate(instrument.positioning_stack.auxiliary): if positioner.base is positioner.default_base: continue base_group = active_stack_group.get('base') if base_group is None: base_group = active_stack_group.create_group('base') base_group[positioner.name] = positioner.base group = instrument_group.create_group('jaws') group.attrs['name'] = instrument.jaws.name if instrument.jaws.positioner is not None: group.attrs['positioner_name'] = instrument.jaws.positioner.name group['positioner_set_points'] = instrument.jaws.positioner.set_points group['positioner_lock_state'] = [link.locked for link in instrument.jaws.positioner.links] group['positioner_limit_state'] = [link.ignore_limits for link in instrument.jaws.positioner.links] group['aperture'] = instrument.jaws.aperture group['initial_source'] = instrument.jaws.initial_source group['initial_direction'] = instrument.jaws.initial_direction group['aperture_lower_limit'] = instrument.jaws.aperture_lower_limit group['aperture_upper_limit'] = instrument.jaws.aperture_upper_limit group['mesh_vertices'] = instrument.jaws.mesh.vertices group['mesh_indices'] = instrument.jaws.mesh.indices group['mesh_colour'] = instrument.jaws.mesh.colour.rgbaf detectors_group = instrument_group.create_group('detectors') for key, detector in instrument.detectors.items(): group = detectors_group.create_group(key) group.attrs['name'] = detector.name if detector.current_collimator is not None: group.attrs['current_collimator'] = detector.current_collimator.name if detector.positioner is not None: group.attrs['positioner_name'] = detector.positioner.name group['positioner_set_points'] = detector.positioner.set_points group['positioner_lock_state'] = [link.locked for link in detector.positioner.links] group['positioner_limit_state'] = [link.ignore_limits for link in detector.positioner.links] group['initial_beam'] = detector.initial_beam group = group.create_group('collimators') for c_key, collimator in detector.collimators.items(): sub_group = group.create_group(c_key) sub_group.attrs['name'] = collimator.name sub_group['aperture'] = collimator.aperture sub_group['mesh_vertices'] = collimator.mesh.vertices sub_group['mesh_indices'] = collimator.mesh.indices sub_group['mesh_colour'] = collimator.mesh.colour.rgbaf fixed_hardware_group = instrument_group.create_group('fixed_hardware') for key, mesh in instrument.fixed_hardware.items(): group = fixed_hardware_group.create_group(key) group['mesh_vertices'] = mesh.vertices group['mesh_indices'] = mesh.indices group['mesh_colour'] = mesh.colour.rgbaf def write_binary_stl(filename, mesh): """Writes a 3D mesh to a binary STL file. The binary STL format only supports face normals while the Mesh object stores vertex normals therefore the first vertex normal for each face is written. :param filename: path of the stl file :type filename: str :param mesh: The vertices, normals and index array of the mesh :type mesh: Mesh """ record_dtype = np.dtype([ ('normals', np.float32, (3,)), ('vertices', np.float32, (3, 3)), ('attr', '<i2', (1,)), ]) face_count = mesh.indices.size // 3 data = np.recarray(face_count, dtype=record_dtype) data.normals = mesh.normals[mesh.indices, :][::3] data.attr = np.zeros((face_count, 1), dtype=np.uint32) data.vertices = mesh.vertices[mesh.indices, :].reshape((-1, 3, 3)) with open(filename, 'wb') as stl_file: stl_file.seek(80) np.array(face_count, dtype=np.int32).tofile(stl_file) data.tofile(stl_file) def write_points(filename, data): """Writes point data and enabled status to tab delimited file. :param filename: path of the file :type filename: str :param data: 3D points and enabled status :type data: numpy.recarray """ with open(filename, 'w', newline='') as csv_file: writer = csv.writer(csv_file, delimiter='\t') write_enabled = True if data.enabled.all() else False for i in range(data.size): p0, p1, p2 = data[i].points if write_enabled: writer.writerow([f'{p0:.7f}', f'{p1:.7f}', f'{p2:.7f}']) else: writer.writerow([f'{p0:.7f}', f'{p1:.7f}', f'{p2:.7f}', data[i].enabled])

44.549505

107

0.678186

c2fd10aa3966e77e2299c6fb8de1c35ae03bdee0

233,750

py

Python

sdks/python/appcenter_sdk/api/analytics_api.py

Brantone/appcenter-sdks

eeb063ecf79908b6e341fb00196d2cd9dc8f3262

[ "MIT" ]

null

sdks/python/appcenter_sdk/api/analytics_api.py

Brantone/appcenter-sdks

eeb063ecf79908b6e341fb00196d2cd9dc8f3262

[ "MIT" ]

6

2019-10-23T06:38:53.000Z

2022-01-22T07:57:58.000Z

sdks/python/appcenter_sdk/api/analytics_api.py

Brantone/appcenter-sdks

eeb063ecf79908b6e341fb00196d2cd9dc8f3262

[ "MIT" ]

2

2019-10-23T06:31:05.000Z

2021-08-21T17:32:47.000Z

# coding: utf-8 """ App Center Client Microsoft Visual Studio App Center API # noqa: E501 OpenAPI spec version: preview Contact: benedetto.abbenanti@gmail.com Project Repository: https://github.com/b3nab/appcenter-sdks """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from appcenter_sdk.api_client import ApiClient class analyticsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def Devices_BlockLogs(self, install_id, owner_name, app_name, **kwargs): # noqa: E501 """Devices_BlockLogs # noqa: E501 **Warning, this operation is not reversible.** A successful call to this API will permanently stop ingesting any logs received via SDK for the given installation ID, and cannot be restored. We advise caution when using this API, it is designed to permanently disable collection from a specific installation of the app on a device, usually following the request from a user. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Devices_BlockLogs(install_id, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string install_id: The id of the device (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: string If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Devices_BlockLogs_with_http_info(install_id, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Devices_BlockLogs_with_http_info(install_id, owner_name, app_name, **kwargs) # noqa: E501 return data def Devices_BlockLogs_with_http_info(self, install_id, owner_name, app_name, **kwargs): # noqa: E501 """Devices_BlockLogs # noqa: E501 **Warning, this operation is not reversible.** A successful call to this API will permanently stop ingesting any logs received via SDK for the given installation ID, and cannot be restored. We advise caution when using this API, it is designed to permanently disable collection from a specific installation of the app on a device, usually following the request from a user. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Devices_BlockLogs_with_http_info(install_id, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string install_id: The id of the device (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: string If the method is called asynchronously, returns the request thread. """ all_params = ['install_id', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Devices_BlockLogs" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'install_id' is set if ('install_id' not in params or params['install_id'] is None): raise ValueError("Missing the required parameter `install_id` when calling `Devices_BlockLogs`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Devices_BlockLogs`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Devices_BlockLogs`") # noqa: E501 collection_formats = {} path_params = {} if 'install_id' in params: path_params['install_id'] = params['install_id'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/devices/block_logs/{install_id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='string', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def App_BlockLogs(self, owner_name, app_name, **kwargs): # noqa: E501 """App_BlockLogs # noqa: E501 **Warning, this operation is not reversible.** A successful call to this API will permanently stop ingesting any logs received via SDK by app_id, and cannot be restored. We advise caution when using this API, it is designed to permanently disable an app_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.App_BlockLogs(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: string If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.App_BlockLogs_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.App_BlockLogs_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 return data def App_BlockLogs_with_http_info(self, owner_name, app_name, **kwargs): # noqa: E501 """App_BlockLogs # noqa: E501 **Warning, this operation is not reversible.** A successful call to this API will permanently stop ingesting any logs received via SDK by app_id, and cannot be restored. We advise caution when using this API, it is designed to permanently disable an app_id. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.App_BlockLogs_with_http_info(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: string If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method App_BlockLogs" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `App_BlockLogs`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `App_BlockLogs`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/devices/block_logs', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='string', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Crashes_ListSessionLogs(self, crash_id, owner_name, app_name, **kwargs): # noqa: E501 """Crashes_ListSessionLogs # noqa: E501 Get session logs by crash ID # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Crashes_ListSessionLogs(crash_id, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_id: The id of the a crash (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string date: Date of data requested(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Crashes_ListSessionLogs_with_http_info(crash_id, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Crashes_ListSessionLogs_with_http_info(crash_id, owner_name, app_name, **kwargs) # noqa: E501 return data def Crashes_ListSessionLogs_with_http_info(self, crash_id, owner_name, app_name, **kwargs): # noqa: E501 """Crashes_ListSessionLogs # noqa: E501 Get session logs by crash ID # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Crashes_ListSessionLogs_with_http_info(crash_id, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_id: The id of the a crash (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string date: Date of data requested(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['crash_id', 'owner_name', 'app_name', 'date'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Crashes_ListSessionLogs" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'crash_id' is set if ('crash_id' not in params or params['crash_id'] is None): raise ValueError("Missing the required parameter `crash_id` when calling `Crashes_ListSessionLogs`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Crashes_ListSessionLogs`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Crashes_ListSessionLogs`") # noqa: E501 collection_formats = {} path_params = {} if 'crash_id' in params: path_params['crash_id'] = params['crash_id'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'date' in params: query_params.append(('date', params['date'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/crashes/{crash_id}/session_logs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_Versions(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_Versions # noqa: E501 Count of active versions in the time range ordered by version. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_Versions(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_Versions_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_Versions_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_Versions_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_Versions # noqa: E501 Count of active versions in the time range ordered by version. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_Versions_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', '$top', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_Versions" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_Versions`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_Versions`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_Versions`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/versions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_PerDeviceCounts(self, start, interval, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_PerDeviceCounts # noqa: E501 Count of sessions per device in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_PerDeviceCounts(start, interval, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string interval: Size of interval in ISO 8601 duration format. (PnYnMnDTnHnMnS|PnW|P<date>T<time>). The valid durations are 1 day (P1D), 1 week (P1W), and 30 days (P30D). (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_PerDeviceCounts_with_http_info(start, interval, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_PerDeviceCounts_with_http_info(start, interval, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_PerDeviceCounts_with_http_info(self, start, interval, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_PerDeviceCounts # noqa: E501 Count of sessions per device in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_PerDeviceCounts_with_http_info(start, interval, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string interval: Size of interval in ISO 8601 duration format. (PnYnMnDTnHnMnS|PnW|P<date>T<time>). The valid durations are 1 day (P1D), 1 week (P1W), and 30 days (P30D). (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'interval', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_PerDeviceCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_PerDeviceCounts`") # noqa: E501 # verify the required parameter 'interval' is set if ('interval' not in params or params['interval'] is None): raise ValueError("Missing the required parameter `interval` when calling `Analytics_PerDeviceCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_PerDeviceCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_PerDeviceCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'interval' in params: query_params.append(('interval', params['interval'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/sessions_per_device', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_SessionDurationsDistribution(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_SessionDurationsDistribution # noqa: E501 Gets session duration . # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_SessionDurationsDistribution(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_SessionDurationsDistribution_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_SessionDurationsDistribution_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_SessionDurationsDistribution_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_SessionDurationsDistribution # noqa: E501 Gets session duration . # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_SessionDurationsDistribution_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_SessionDurationsDistribution" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_SessionDurationsDistribution`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_SessionDurationsDistribution`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_SessionDurationsDistribution`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/session_durations_distribution', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_SessionCounts(self, start, interval, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_SessionCounts # noqa: E501 Count of sessions in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_SessionCounts(start, interval, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string interval: Size of interval in ISO 8601 duration format. (PnYnMnDTnHnMnS|PnW|P<date>T<time>). The valid durations are 1 day (P1D), 1 week (P1W), and 30 days (P30D). (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_SessionCounts_with_http_info(start, interval, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_SessionCounts_with_http_info(start, interval, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_SessionCounts_with_http_info(self, start, interval, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_SessionCounts # noqa: E501 Count of sessions in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_SessionCounts_with_http_info(start, interval, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string interval: Size of interval in ISO 8601 duration format. (PnYnMnDTnHnMnS|PnW|P<date>T<time>). The valid durations are 1 day (P1D), 1 week (P1W), and 30 days (P30D). (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'interval', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_SessionCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_SessionCounts`") # noqa: E501 # verify the required parameter 'interval' is set if ('interval' not in params or params['interval'] is None): raise ValueError("Missing the required parameter `interval` when calling `Analytics_SessionCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_SessionCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_SessionCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'interval' in params: query_params.append(('interval', params['interval'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/session_counts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_PlaceCounts(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_PlaceCounts # noqa: E501 Places in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_PlaceCounts(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_PlaceCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_PlaceCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_PlaceCounts_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_PlaceCounts # noqa: E501 Places in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_PlaceCounts_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', '$top', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_PlaceCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_PlaceCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_PlaceCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_PlaceCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/places', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_OperatingSystemCounts(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_OperatingSystemCounts # noqa: E501 OSes in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_OperatingSystemCounts(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_OperatingSystemCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_OperatingSystemCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_OperatingSystemCounts_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_OperatingSystemCounts # noqa: E501 OSes in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_OperatingSystemCounts_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', '$top', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_OperatingSystemCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_OperatingSystemCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_OperatingSystemCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_OperatingSystemCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/oses', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_ModelCounts(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ModelCounts # noqa: E501 models in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ModelCounts(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_ModelCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_ModelCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_ModelCounts_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ModelCounts # noqa: E501 models in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ModelCounts_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', '$top', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_ModelCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_ModelCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_ModelCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_ModelCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/models', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_LogFlow(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_LogFlow # noqa: E501 Logs received between the specified start time and the current time. The API will return a maximum of 100 logs per call. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_LogFlow(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string start: Start date time in data in ISO 8601 date time format. It must be within the current day in the UTC timezone. The default value is the start time of the current day in UTC timezone.(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_LogFlow_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_LogFlow_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_LogFlow_with_http_info(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_LogFlow # noqa: E501 Logs received between the specified start time and the current time. The API will return a maximum of 100 logs per call. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_LogFlow_with_http_info(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string start: Start date time in data in ISO 8601 date time format. It must be within the current day in the UTC timezone. The default value is the start time of the current day in UTC timezone.(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name', 'start'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_LogFlow" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_LogFlow`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_LogFlow`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/log_flow', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_LanguageCounts(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_LanguageCounts # noqa: E501 languages in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_LanguageCounts(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_LanguageCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_LanguageCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_LanguageCounts_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_LanguageCounts # noqa: E501 languages in the time range # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_LanguageCounts_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', '$top', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_LanguageCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_LanguageCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_LanguageCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_LanguageCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/languages', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_GenericLogFlow(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_GenericLogFlow # noqa: E501 Logs received between the specified start time and the current time. The API will return a maximum of 100 logs per call. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_GenericLogFlow(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string start: Start date time in data in ISO 8601 date time format. It must be within the current day in the UTC timezone. The default value is the start time of the current day in UTC timezone.(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_GenericLogFlow_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_GenericLogFlow_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_GenericLogFlow_with_http_info(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_GenericLogFlow # noqa: E501 Logs received between the specified start time and the current time. The API will return a maximum of 100 logs per call. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_GenericLogFlow_with_http_info(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string start: Start date time in data in ISO 8601 date time format. It must be within the current day in the UTC timezone. The default value is the start time of the current day in UTC timezone.(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name', 'start'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_GenericLogFlow" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_GenericLogFlow`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_GenericLogFlow`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/generic_log_flow', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventPropertyCounts(self, event_name, event_property_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventPropertyCounts # noqa: E501 Event properties value counts during the time range in descending order. Limited up to 5 values. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventPropertyCounts(event_name, event_property_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string event_property_name: The id of the event property (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :param integer $top: The number of property values to return(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventPropertyCounts_with_http_info(event_name, event_property_name, start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventPropertyCounts_with_http_info(event_name, event_property_name, start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventPropertyCounts_with_http_info(self, event_name, event_property_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventPropertyCounts # noqa: E501 Event properties value counts during the time range in descending order. Limited up to 5 values. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventPropertyCounts_with_http_info(event_name, event_property_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string event_property_name: The id of the event property (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :param integer $top: The number of property values to return(optional, default to ) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'event_property_name', 'start', 'owner_name', 'app_name', 'end', 'versions', '$top'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventPropertyCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventPropertyCounts`") # noqa: E501 # verify the required parameter 'event_property_name' is set if ('event_property_name' not in params or params['event_property_name'] is None): raise ValueError("Missing the required parameter `event_property_name` when calling `Analytics_EventPropertyCounts`") # noqa: E501 # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_EventPropertyCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventPropertyCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventPropertyCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'event_property_name' in params: path_params['event_property_name'] = params['event_property_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}/properties/{event_property_name}/counts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventProperties(self, event_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventProperties # noqa: E501 Event properties. Up to the first 5 received properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventProperties(event_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventProperties_with_http_info(event_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventProperties_with_http_info(event_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventProperties_with_http_info(self, event_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventProperties # noqa: E501 Event properties. Up to the first 5 received properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventProperties_with_http_info(event_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventProperties" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventProperties`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventProperties`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventProperties`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}/properties', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventCount(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventCount # noqa: E501 Count of events by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventCount(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventCount_with_http_info(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventCount # noqa: E501 Count of events by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventCount_with_http_info(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventCount" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventCount`") # noqa: E501 # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_EventCount`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventCount`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventCount`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}/event_count', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventDeviceCount(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventDeviceCount # noqa: E501 Count of devices for an event by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventDeviceCount(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventDeviceCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventDeviceCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventDeviceCount_with_http_info(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventDeviceCount # noqa: E501 Count of devices for an event by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventDeviceCount_with_http_info(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventDeviceCount" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventDeviceCount`") # noqa: E501 # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_EventDeviceCount`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventDeviceCount`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventDeviceCount`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}/device_count', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventPerSessionCount(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventPerSessionCount # noqa: E501 Count of events per session by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventPerSessionCount(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventPerSessionCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventPerSessionCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventPerSessionCount_with_http_info(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventPerSessionCount # noqa: E501 Count of events per session by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventPerSessionCount_with_http_info(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventPerSessionCount" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventPerSessionCount`") # noqa: E501 # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_EventPerSessionCount`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventPerSessionCount`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventPerSessionCount`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}/count_per_session', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventPerDeviceCount(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventPerDeviceCount # noqa: E501 Count of events per device by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventPerDeviceCount(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventPerDeviceCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventPerDeviceCount_with_http_info(event_name, start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventPerDeviceCount_with_http_info(self, event_name, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventPerDeviceCount # noqa: E501 Count of events per device by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventPerDeviceCount_with_http_info(event_name, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventPerDeviceCount" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventPerDeviceCount`") # noqa: E501 # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_EventPerDeviceCount`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventPerDeviceCount`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventPerDeviceCount`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}/count_per_device', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventsDelete(self, event_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventsDelete # noqa: E501 Delete the set of Events with the specified event names # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventsDelete(event_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventsDelete_with_http_info(event_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventsDelete_with_http_info(event_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventsDelete_with_http_info(self, event_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventsDelete # noqa: E501 Delete the set of Events with the specified event names # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventsDelete_with_http_info(event_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventsDelete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventsDelete`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventsDelete`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventsDelete`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events/{event_name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_Events(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_Events # noqa: E501 Count of active events in the time range ordered by event. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_Events(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :param array event_name: to select the specific events(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :param integer $skip: The offset (starting at 0) of the first result to return. This parameter along with limit is used to perform pagination.(optional) :param string $inlinecount: Controls whether or not to include a count of all the items across all pages.(optional) :param string $orderby: controls the sorting order and sorting based on which column(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_Events_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_Events_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_Events_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_Events # noqa: E501 Count of active events in the time range ordered by event. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_Events_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :param array event_name: to select the specific events(optional) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :param integer $skip: The offset (starting at 0) of the first result to return. This parameter along with limit is used to perform pagination.(optional) :param string $inlinecount: Controls whether or not to include a count of all the items across all pages.(optional, default to ) :param string $orderby: controls the sorting order and sorting based on which column(optional, default to ) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', 'versions', 'event_name', '$top', '$skip', '$inlinecount', '$orderby'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_Events" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_Events`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_Events`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_Events`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 if 'event_name' in params: query_params.append(('event_name', params['event_name'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 if '$skip' in params: query_params.append(('$skip', params['$skip'])) # noqa: E501 if '$inlinecount' in params: query_params.append(('$inlinecount', params['$inlinecount'])) # noqa: E501 if '$orderby' in params: query_params.append(('$orderby', params['$orderby'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/events', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_EventsDeleteLogs(self, event_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventsDeleteLogs # noqa: E501 Delete the set of Events with the specified event names # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventsDeleteLogs(event_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_EventsDeleteLogs_with_http_info(event_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_EventsDeleteLogs_with_http_info(event_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_EventsDeleteLogs_with_http_info(self, event_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_EventsDeleteLogs # noqa: E501 Delete the set of Events with the specified event names # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_EventsDeleteLogs_with_http_info(event_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string event_name: The id of the event (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['event_name', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_EventsDeleteLogs" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'event_name' is set if ('event_name' not in params or params['event_name'] is None): raise ValueError("Missing the required parameter `event_name` when calling `Analytics_EventsDeleteLogs`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_EventsDeleteLogs`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_EventsDeleteLogs`") # noqa: E501 collection_formats = {} path_params = {} if 'event_name' in params: path_params['event_name'] = params['event_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/event_logs/{event_name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_DistributionReleaseCounts(self, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_DistributionReleaseCounts # noqa: E501 Count of total downloads for the provided distribution releases. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_DistributionReleaseCounts(owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: The releases to retrieve. (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_DistributionReleaseCounts_with_http_info(owner_name, app_name, body, **kwargs) # noqa: E501 else: (data) = self.Analytics_DistributionReleaseCounts_with_http_info(owner_name, app_name, body, **kwargs) # noqa: E501 return data def Analytics_DistributionReleaseCounts_with_http_info(self, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_DistributionReleaseCounts # noqa: E501 Count of total downloads for the provided distribution releases. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_DistributionReleaseCounts_with_http_info(owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: The releases to retrieve. (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name', 'body'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_DistributionReleaseCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_DistributionReleaseCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_DistributionReleaseCounts`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `Analytics_DistributionReleaseCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/distribution/release_counts', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashFreeDevicePercentages(self, start, version, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_CrashFreeDevicePercentages # noqa: E501 Percentage of crash-free device by day in the time range based on the selected versions. Api will return -1 if crash devices is greater than active devices. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashFreeDevicePercentages(start, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashFreeDevicePercentages_with_http_info(start, version, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashFreeDevicePercentages_with_http_info(start, version, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_CrashFreeDevicePercentages_with_http_info(self, start, version, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_CrashFreeDevicePercentages # noqa: E501 Percentage of crash-free device by day in the time range based on the selected versions. Api will return -1 if crash devices is greater than active devices. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashFreeDevicePercentages_with_http_info(start, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'version', 'owner_name', 'app_name', 'end'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashFreeDevicePercentages" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_CrashFreeDevicePercentages`") # noqa: E501 # verify the required parameter 'version' is set if ('version' not in params or params['version'] is None): raise ValueError("Missing the required parameter `version` when calling `Analytics_CrashFreeDevicePercentages`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashFreeDevicePercentages`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashFreeDevicePercentages`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crashfree_device_percentages', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashGroupTotals(self, crash_group_id, version, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 Overall crashes and affected users count of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupTotals(crash_group_id, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashGroupTotals_with_http_info(crash_group_id, version, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashGroupTotals_with_http_info(crash_group_id, version, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_CrashGroupTotals_with_http_info(self, crash_group_id, version, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 Overall crashes and affected users count of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupTotals_with_http_info(crash_group_id, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['crash_group_id', 'version', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashGroupTotals" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'crash_group_id' is set if ('crash_group_id' not in params or params['crash_group_id'] is None): raise ValueError("Missing the required parameter `crash_group_id` when calling `Analytics_CrashGroupTotals`") # noqa: E501 # verify the required parameter 'version' is set if ('version' not in params or params['version'] is None): raise ValueError("Missing the required parameter `version` when calling `Analytics_CrashGroupTotals`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashGroupTotals`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashGroupTotals`") # noqa: E501 collection_formats = {} path_params = {} if 'crash_group_id' in params: path_params['crash_group_id'] = params['crash_group_id'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crash_groups/{crash_group_id}/overall', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashGroupOperatingSystemCounts(self, crash_group_id, version, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 top OSes of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupOperatingSystemCounts(crash_group_id, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashGroupOperatingSystemCounts_with_http_info(crash_group_id, version, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashGroupOperatingSystemCounts_with_http_info(crash_group_id, version, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_CrashGroupOperatingSystemCounts_with_http_info(self, crash_group_id, version, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 top OSes of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupOperatingSystemCounts_with_http_info(crash_group_id, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['crash_group_id', 'version', 'owner_name', 'app_name', '$top'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashGroupOperatingSystemCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'crash_group_id' is set if ('crash_group_id' not in params or params['crash_group_id'] is None): raise ValueError("Missing the required parameter `crash_group_id` when calling `Analytics_CrashGroupOperatingSystemCounts`") # noqa: E501 # verify the required parameter 'version' is set if ('version' not in params or params['version'] is None): raise ValueError("Missing the required parameter `version` when calling `Analytics_CrashGroupOperatingSystemCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashGroupOperatingSystemCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashGroupOperatingSystemCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'crash_group_id' in params: path_params['crash_group_id'] = params['crash_group_id'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crash_groups/{crash_group_id}/operating_systems', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashGroupModelCounts(self, crash_group_id, version, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 top models of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupModelCounts(crash_group_id, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashGroupModelCounts_with_http_info(crash_group_id, version, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashGroupModelCounts_with_http_info(crash_group_id, version, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_CrashGroupModelCounts_with_http_info(self, crash_group_id, version, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 top models of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupModelCounts_with_http_info(crash_group_id, version, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param integer $top: The maximum number of results to return. (0 will fetch all results)(optional, default to ) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['crash_group_id', 'version', 'owner_name', 'app_name', '$top'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashGroupModelCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'crash_group_id' is set if ('crash_group_id' not in params or params['crash_group_id'] is None): raise ValueError("Missing the required parameter `crash_group_id` when calling `Analytics_CrashGroupModelCounts`") # noqa: E501 # verify the required parameter 'version' is set if ('version' not in params or params['version'] is None): raise ValueError("Missing the required parameter `version` when calling `Analytics_CrashGroupModelCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashGroupModelCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashGroupModelCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'crash_group_id' in params: path_params['crash_group_id'] = params['crash_group_id'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 if '$top' in params: query_params.append(('$top', params['$top'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crash_groups/{crash_group_id}/models', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashGroupCounts(self, crash_group_id, version, start, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 Count of crashes by day in the time range of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupCounts(crash_group_id, version, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashGroupCounts_with_http_info(crash_group_id, version, start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashGroupCounts_with_http_info(crash_group_id, version, start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_CrashGroupCounts_with_http_info(self, crash_group_id, version, start, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 Count of crashes by day in the time range of the selected crash group with selected version. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupCounts_with_http_info(crash_group_id, version, start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string crash_group_id: The id of the crash group (required) :param string version: (required) :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['crash_group_id', 'version', 'start', 'owner_name', 'app_name', 'end'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashGroupCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'crash_group_id' is set if ('crash_group_id' not in params or params['crash_group_id'] is None): raise ValueError("Missing the required parameter `crash_group_id` when calling `Analytics_CrashGroupCounts`") # noqa: E501 # verify the required parameter 'version' is set if ('version' not in params or params['version'] is None): raise ValueError("Missing the required parameter `version` when calling `Analytics_CrashGroupCounts`") # noqa: E501 # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_CrashGroupCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashGroupCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashGroupCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'crash_group_id' in params: path_params['crash_group_id'] = params['crash_group_id'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'version' in params: query_params.append(('version', params['version'])) # noqa: E501 if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crash_groups/{crash_group_id}/crash_counts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashGroupsTotals(self, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_CrashGroupsTotals # noqa: E501 Overall crashes and affected users count of the selected crash groups with selected versions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupsTotals(owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: (required) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashGroupsTotals_with_http_info(owner_name, app_name, body, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashGroupsTotals_with_http_info(owner_name, app_name, body, **kwargs) # noqa: E501 return data def Analytics_CrashGroupsTotals_with_http_info(self, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_CrashGroupsTotals # noqa: E501 Overall crashes and affected users count of the selected crash groups with selected versions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashGroupsTotals_with_http_info(owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: (required) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name', 'body'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashGroupsTotals" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashGroupsTotals`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashGroupsTotals`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `Analytics_CrashGroupsTotals`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crash_groups', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CrashCounts(self, start, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 Count of crashes by day in the time range based the selected versions. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashCounts(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CrashCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_CrashCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_CrashCounts_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """ # noqa: E501 Count of crashes by day in the time range based the selected versions. Available for UWP apps only. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CrashCounts_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CrashCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_CrashCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CrashCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CrashCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/crash_counts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_AudienceNameExists(self, audience_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_AudienceNameExists # noqa: E501 Returns whether audience definition exists. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_AudienceNameExists(audience_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_AudienceNameExists_with_http_info(audience_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_AudienceNameExists_with_http_info(audience_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_AudienceNameExists_with_http_info(self, audience_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_AudienceNameExists # noqa: E501 Returns whether audience definition exists. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_AudienceNameExists_with_http_info(audience_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['audience_name', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_AudienceNameExists" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'audience_name' is set if ('audience_name' not in params or params['audience_name'] is None): raise ValueError("Missing the required parameter `audience_name` when calling `Analytics_AudienceNameExists`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_AudienceNameExists`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_AudienceNameExists`") # noqa: E501 collection_formats = {} path_params = {} if 'audience_name' in params: path_params['audience_name'] = params['audience_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/{audience_name}', 'HEAD', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_DeleteAudience(self, audience_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_DeleteAudience # noqa: E501 Deletes audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_DeleteAudience(audience_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_DeleteAudience_with_http_info(audience_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_DeleteAudience_with_http_info(audience_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_DeleteAudience_with_http_info(self, audience_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_DeleteAudience # noqa: E501 Deletes audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_DeleteAudience_with_http_info(audience_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['audience_name', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_DeleteAudience" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'audience_name' is set if ('audience_name' not in params or params['audience_name'] is None): raise ValueError("Missing the required parameter `audience_name` when calling `Analytics_DeleteAudience`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_DeleteAudience`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_DeleteAudience`") # noqa: E501 collection_formats = {} path_params = {} if 'audience_name' in params: path_params['audience_name'] = params['audience_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/{audience_name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_GetAudience(self, audience_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_GetAudience # noqa: E501 Gets audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_GetAudience(audience_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_GetAudience_with_http_info(audience_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_GetAudience_with_http_info(audience_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_GetAudience_with_http_info(self, audience_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_GetAudience # noqa: E501 Gets audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_GetAudience_with_http_info(audience_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['audience_name', 'owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_GetAudience" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'audience_name' is set if ('audience_name' not in params or params['audience_name'] is None): raise ValueError("Missing the required parameter `audience_name` when calling `Analytics_GetAudience`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_GetAudience`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_GetAudience`") # noqa: E501 collection_formats = {} path_params = {} if 'audience_name' in params: path_params['audience_name'] = params['audience_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/{audience_name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_CreateOrUpdateAudience(self, audience_name, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_CreateOrUpdateAudience # noqa: E501 Creates or updates audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CreateOrUpdateAudience(audience_name, owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: Audience definition (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_CreateOrUpdateAudience_with_http_info(audience_name, owner_name, app_name, body, **kwargs) # noqa: E501 else: (data) = self.Analytics_CreateOrUpdateAudience_with_http_info(audience_name, owner_name, app_name, body, **kwargs) # noqa: E501 return data def Analytics_CreateOrUpdateAudience_with_http_info(self, audience_name, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_CreateOrUpdateAudience # noqa: E501 Creates or updates audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_CreateOrUpdateAudience_with_http_info(audience_name, owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string audience_name: The name of the audience (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: Audience definition (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['audience_name', 'owner_name', 'app_name', 'body'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_CreateOrUpdateAudience" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'audience_name' is set if ('audience_name' not in params or params['audience_name'] is None): raise ValueError("Missing the required parameter `audience_name` when calling `Analytics_CreateOrUpdateAudience`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_CreateOrUpdateAudience`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_CreateOrUpdateAudience`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `Analytics_CreateOrUpdateAudience`") # noqa: E501 collection_formats = {} path_params = {} if 'audience_name' in params: path_params['audience_name'] = params['audience_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/{audience_name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_ListDevicePropertyValues(self, property_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListDevicePropertyValues # noqa: E501 Get list of device property values. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListDevicePropertyValues(property_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string property_name: Device property (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string contains: Contains string(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_ListDevicePropertyValues_with_http_info(property_name, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_ListDevicePropertyValues_with_http_info(property_name, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_ListDevicePropertyValues_with_http_info(self, property_name, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListDevicePropertyValues # noqa: E501 Get list of device property values. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListDevicePropertyValues_with_http_info(property_name, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string property_name: Device property (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string contains: Contains string(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['property_name', 'owner_name', 'app_name', 'contains'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_ListDevicePropertyValues" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'property_name' is set if ('property_name' not in params or params['property_name'] is None): raise ValueError("Missing the required parameter `property_name` when calling `Analytics_ListDevicePropertyValues`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_ListDevicePropertyValues`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_ListDevicePropertyValues`") # noqa: E501 collection_formats = {} path_params = {} if 'property_name' in params: path_params['property_name'] = params['property_name'] # noqa: E501 if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'contains' in params: query_params.append(('contains', params['contains'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/metadata/device_properties/{property_name}/values', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_ListDeviceProperties(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListDeviceProperties # noqa: E501 Get list of device properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListDeviceProperties(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_ListDeviceProperties_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_ListDeviceProperties_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_ListDeviceProperties_with_http_info(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListDeviceProperties # noqa: E501 Get list of device properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListDeviceProperties_with_http_info(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_ListDeviceProperties" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_ListDeviceProperties`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_ListDeviceProperties`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/metadata/device_properties', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_ListCustomProperties(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListCustomProperties # noqa: E501 Get list of custom properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListCustomProperties(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_ListCustomProperties_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_ListCustomProperties_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_ListCustomProperties_with_http_info(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListCustomProperties # noqa: E501 Get list of custom properties. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListCustomProperties_with_http_info(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_ListCustomProperties" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_ListCustomProperties`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_ListCustomProperties`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/metadata/custom_properties', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_TestAudience(self, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_TestAudience # noqa: E501 Tests audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_TestAudience(owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: Audience definition (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_TestAudience_with_http_info(owner_name, app_name, body, **kwargs) # noqa: E501 else: (data) = self.Analytics_TestAudience_with_http_info(owner_name, app_name, body, **kwargs) # noqa: E501 return data def Analytics_TestAudience_with_http_info(self, owner_name, app_name, body, **kwargs): # noqa: E501 """Analytics_TestAudience # noqa: E501 Tests audience definition. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_TestAudience_with_http_info(owner_name, app_name, body, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param object body: Audience definition (required) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name', 'body'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_TestAudience" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_TestAudience`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_TestAudience`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `Analytics_TestAudience`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences/definition/test', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_ListAudiences(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListAudiences # noqa: E501 Get list of audiences. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListAudiences(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param boolean include_disabled: Include disabled audience definitions(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_ListAudiences_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_ListAudiences_with_http_info(owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_ListAudiences_with_http_info(self, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_ListAudiences # noqa: E501 Get list of audiences. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_ListAudiences_with_http_info(owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param boolean include_disabled: Include disabled audience definitions(optional) :return: ErrorResponse If the method is called asynchronously, returns the request thread. """ all_params = ['owner_name', 'app_name', 'include_disabled'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_ListAudiences" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_ListAudiences`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_ListAudiences`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'include_disabled' in params: query_params.append(('include_disabled', params['include_disabled'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/audiences', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ErrorResponse', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def Analytics_DeviceCounts(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_DeviceCounts # noqa: E501 Count of active devices by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_DeviceCounts(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.Analytics_DeviceCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 else: (data) = self.Analytics_DeviceCounts_with_http_info(start, owner_name, app_name, **kwargs) # noqa: E501 return data def Analytics_DeviceCounts_with_http_info(self, start, owner_name, app_name, **kwargs): # noqa: E501 """Analytics_DeviceCounts # noqa: E501 Count of active devices by interval in the time range. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.Analytics_DeviceCounts_with_http_info(start, owner_name, app_name, async=True) >>> result = thread.get() :param async bool :param string start: Start date time in data in ISO 8601 date time format (required) :param string owner_name: The name of the owner (required) :param string app_name: The name of the application (required) :param string end: Last date time in data in ISO 8601 date time format(optional) :param array versions:(optional) :return: Error If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'owner_name', 'app_name', 'end', 'versions'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method Analytics_DeviceCounts" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params or params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `Analytics_DeviceCounts`") # noqa: E501 # verify the required parameter 'owner_name' is set if ('owner_name' not in params or params['owner_name'] is None): raise ValueError("Missing the required parameter `owner_name` when calling `Analytics_DeviceCounts`") # noqa: E501 # verify the required parameter 'app_name' is set if ('app_name' not in params or params['app_name'] is None): raise ValueError("Missing the required parameter `app_name` when calling `Analytics_DeviceCounts`") # noqa: E501 collection_formats = {} path_params = {} if 'owner_name' in params: path_params['owner_name'] = params['owner_name'] # noqa: E501 if 'app_name' in params: path_params['app_name'] = params['app_name'] # noqa: E501 query_params = [] if 'start' in params: query_params.append(('start', params['start'])) # noqa: E501 if 'end' in params: query_params.append(('end', params['end'])) # noqa: E501 if 'versions' in params: query_params.append(('versions', params['versions'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'multipart/form-data', 'application/json-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['APIToken'] # noqa: E501 return self.api_client.call_api( '/v0.1/apps/{owner_name}/{app_name}/analytics/active_device_counts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Error', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

47.452294

327

0.630922

0e19821473afa27108d7802475b24ae03113c378

8,354

py

Python

fwc_edu/fwc_education/report/fwc_salary_register/fwc_salary_register.py

mohsinalimat/fwc_edu

d3e2e43b5cd5001a0b8845206e85b1870dc9e53d

[ "MIT" ]

null

fwc_edu/fwc_education/report/fwc_salary_register/fwc_salary_register.py

mohsinalimat/fwc_edu

d3e2e43b5cd5001a0b8845206e85b1870dc9e53d

[ "MIT" ]

null

fwc_edu/fwc_education/report/fwc_salary_register/fwc_salary_register.py

mohsinalimat/fwc_edu

d3e2e43b5cd5001a0b8845206e85b1870dc9e53d

[ "MIT" ]

null

# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors # License: GNU General Public License v3. See license.txt from __future__ import unicode_literals import frappe, erpnext from frappe.utils import flt from frappe import msgprint, _ def execute(filters=None): if not filters: filters = {} currency = None if filters.get('currency'): currency = filters.get('currency') company_currency = erpnext.get_company_currency(filters.get("company")) salary_slips = get_salary_slips(filters, company_currency) if not salary_slips: return [], [] columns, earning_types, ded_types = get_columns(salary_slips, filters) ss_earning_map = get_ss_earning_map(salary_slips, currency, company_currency) ss_ded_map = get_ss_ded_map(salary_slips,currency, company_currency) doj_map = get_employee_doj_map() basic_annual = get_employee_annual_basic() mycompany = filters.get("company") data = [] for ss in salary_slips: if mycompany == "FWC Education" or mycompany == "Mailefihi Siuilikutapu College": row = [ss.branch,ss.employee,ss.employee_name, basic_annual.get(ss.employee)] else: row = [ss.employee,ss.employee_name, basic_annual.get(ss.employee)] # row = [ss.name, ss.employee, ss.employee_name, basic_annual.get(ss.employee), ss.branch, ss.department, ss.designation, # ss.company, ss.start_date, ss.end_date, ss.leave_without_pay, ss.payment_days] # if ss.branch is not None: columns[3] = columns[3].replace('-1','120') # if ss.department is not None: columns[4] = columns[4].replace('-1','120') # if ss.designation is not None: columns[5] = columns[5].replace('-1','120') # if ss.leave_without_pay is not None: columns[9] = columns[9].replace('-1','130') for e in earning_types: row.append(ss_earning_map.get(ss.name, {}).get(e)) if currency == company_currency: row += [flt(ss.gross_pay) * flt(ss.exchange_rate)] else: row += [ss.gross_pay] # for d in ded_types: # row.append(ss_ded_map.get(ss.name, {}).get(d)) # row.append(ss.total_loan_repayment) # if currency == company_currency: # row += [flt(ss.total_deduction) * flt(ss.exchange_rate), flt(ss.net_pay) * flt(ss.exchange_rate)] # else: # row += [ss.total_deduction, ss.net_pay] for d in ded_types: row.append(ss_ded_map.get(ss.name, {}).get(d)) # row.append(ss.total_loan_repayment) # if currency == company_currency: # row += [flt(ss.total_deduction) * flt(ss.exchange_rate), flt(ss.net_pay) * flt(ss.exchange_rate)] # else: row += [ss.net_pay] # row.append(currency or company_currency) data.append(row) return columns, data def get_columns(salary_slips, filters): mycompany = filters.get("company") if mycompany == "FWC Education" or mycompany == "Mailefihi Siuilikutapu College": columns = [ _("Branch") + ":Link/Branch:100", _("Employee") + ":Link/Employee:120", _("Employee Name") + "::140", _("Basic Salary") + ":Currency:120", ] else: columns = [ _("Employee") + ":Link/Employee:120", _("Employee Name") + "::140", _("Basic Salary") + ":Currency:120", ] salary_components = {_("Earning"): [], _("Deduction"): []} for component in frappe.db.sql("""select distinct sc.type, IF(sd.salary_component IN ('MBF', 'MBF02','MBF03','MBF04', 'MBF05'),'MBF', IF(sd.salary_component IN ('BSP', 'BSP02','BSP03','BSP04', 'BSP05'),'BSP', IF(sd.salary_component IN ('TDB', 'TDB02','TDB03','TDB04', 'TDB05'), 'TDB', IF(sd.salary_component IN ('Retirement Fund', 'Retirement Fund - Voluntary'),'Retirement Fund', sd.salary_component)))) as salary_component from `tabSalary Detail` sd, `tabSalary Component` sc where sc.name=sd.salary_component and sd.amount != 0 and sd.parent in (%s)""" % (', '.join(['%s']*len(salary_slips))), tuple([d.name for d in salary_slips]), as_dict=1): salary_components[_(component.type)].append(component.salary_component) columns = columns + [(e + ":Currency:120") for e in salary_components[_("Earning")]] + \ [_("Gross Pay") + ":Currency:120"] + [(d + ":Currency:120") for d in salary_components[_("Deduction")]] + \ [_("Net Pay") + ":Currency:120"] # columns = columns + [(e + ":Currency:120") for e in salary_components[_("Earning")]] + \ # [_("Gross Pay") + ":Currency:120"] + [(d + ":Currency:120") for d in salary_components[_("Deduction")]] + \ # [_("Loan Repayment") + ":Currency:120", _("Total Deduction") + ":Currency:120", _("Net Pay") + ":Currency:120"] return columns, salary_components[_("Earning")], salary_components[_("Deduction")] def get_salary_slips(filters, company_currency): filters.update({"from_date": filters.get("from_date"), "to_date":filters.get("to_date")}) conditions, filters = get_conditions(filters, company_currency) salary_slips = frappe.db.sql("""select * from `tabSalary Slip` where %s order by reports_group""" % conditions, filters, as_dict=1) # addtional_salary = frappe.db.sql("""select * from `tabFWC Additional Deduction` where %s # order by employee""" % conditions, filters, as_dict=1) # msgprint(_("Salary Slip {0}").format(addtional_salary)) # salary_slips.append(salaryslips) return salary_slips or [] def get_conditions(filters, company_currency): conditions = "" doc_status = {"Draft": 0, "Submitted": 1, "Cancelled": 2} if filters.get("docstatus"): conditions += "docstatus = {0}".format(doc_status[filters.get("docstatus")]) if filters.get("from_date"): conditions += " and start_date >= %(from_date)s" if filters.get("to_date"): conditions += " and end_date <= %(to_date)s" if filters.get("company"): conditions += " and company = %(company)s" if filters.get("employee"): conditions += " and employee = %(employee)s" if filters.get("currency") and filters.get("currency") != company_currency: conditions += " and currency = %(currency)s" return conditions, filters def get_employee_annual_basic(): return frappe._dict(frappe.db.sql(""" SELECT employee, basic_salary FROM `tabEmployee` """)) def get_employee_doj_map(): return frappe._dict(frappe.db.sql(""" SELECT employee, date_of_joining FROM `tabEmployee` """)) def get_ss_earning_map(salary_slips, currency, company_currency): ss_earnings = frappe.db.sql("""select sd.parent, sd.salary_component, sum(sd.amount) as amount, ss.exchange_rate, ss.name from `tabSalary Detail` sd, `tabSalary Slip` ss where sd.parent=ss.name and sd.parent in (%s) group by sd.parent, sd.salary_component""" % (', '.join(['%s']*len(salary_slips))), tuple([d.name for d in salary_slips]), as_dict=1) ss_earning_map = {} for d in ss_earnings: ss_earning_map.setdefault(d.parent, frappe._dict()).setdefault(d.salary_component, []) if currency == company_currency: ss_earning_map[d.parent][d.salary_component] = flt(d.amount) * flt(d.exchange_rate if d.exchange_rate else 1) else: ss_earning_map[d.parent][d.salary_component] = flt(d.amount) return ss_earning_map def get_ss_ded_map(salary_slips, currency, company_currency): ss_deductions = frappe.db.sql("""select distinct sd.parent, IF(sd.salary_component IN ('MBF', 'MBF02','MBF03','MBF04', 'MBF05'),'MBF', IF(sd.salary_component IN ('BSP', 'BSP02','BSP03','BSP04', 'BSP05'),'BSP', IF(sd.salary_component IN ('TDB', 'TDB02','TDB03','TDB04', 'TDB05'), 'TDB', IF(sd.salary_component IN ('Retirement Fund', 'Retirement Fund - Voluntary'),'Retirement Fund', sd.salary_component)))) as salary_component, IF(sd.salary_component IN ('MBF', 'MBF02','MBF03','MBF04', 'MBF05'),'MBF', IF(sd.salary_component IN ('BSP', 'BSP02','BSP03','BSP04', 'BSP05'),'BSP', IF(sd.salary_component IN ('TDB', 'TDB02','TDB03','TDB04', 'TDB05'), 'TDB', IF(sd.salary_component IN ('Retirement Fund', 'Retirement Fund - Voluntary'),'Retirement Fund', sd.salary_component)))) as salarycomponent, sum(sd.amount) as amount, ss.name from `tabSalary Detail` sd, `tabSalary Slip` ss where sd.parent=ss.name and sd.parent in (%s) group by salarycomponent, sd.parent""" % (', '.join(['%s']*len(salary_slips))), tuple([d.name for d in salary_slips]) , as_dict=1) ss_ded_map = {} # msgprint(_("Deduction {0}").format(ss_deductions)) for d in ss_deductions: ss_ded_map.setdefault(d.parent, frappe._dict()).setdefault(d.salary_component, []) ss_ded_map[d.parent][d.salary_component] = flt(d.amount) return ss_ded_map

41.77

159

0.692961

95c694930ab2d2f0305d5cd3cf7bf6bde062ff23

792

py

Python

applications/escola_curso/models/tables.py

BetinRibeiro/web2py_crediario

d7b0aef4579870922c6d87b4b0322b427b2bef98

[ "BSD-3-Clause" ]

2

2019-10-18T23:04:22.000Z

2019-10-24T04:03:10.000Z

applications/escola_curso/models/tables.py

BetinRibeiro/web2py_crediario

d7b0aef4579870922c6d87b4b0322b427b2bef98

[ "BSD-3-Clause" ]

null

applications/escola_curso/models/tables.py

BetinRibeiro/web2py_crediario

d7b0aef4579870922c6d87b4b0322b427b2bef98

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- Notas = db.define_table('notas', Field('nota', 'float', default=0, label="Nota"), Field('aluno', 'reference auth_user', notnull=True, label="Aluno"), Field('professor', 'reference auth_user', ondelete='SET NULL', label="Professor") ) Biblioteca = db.define_table('biblioteca', Field('arquivo', 'upload', notnull=True, label="Arquivo"), Field('professor', 'reference auth_user', ondelete='SET NULL', label="Professor") ) Forum = db.define_table('forum', Field('mensagem', 'text', notnull=True, label="Mensagem", widget=ckeditor.widget), auth.signature ) Comentarios = db.define_table('comentarios', Field('mensagem', 'text', notnull=True, label="Mensagem", widget=ckeditor.widget), Field('postagem', 'reference forum', label="Postagem"), auth.signature )

33

83

0.705808

2e391ac7336b4c3437062139c7f01e76be893aad

18,747

py

Python

opts.py

wrn7777/MscProject

0c11cd7e00c830bbf7a0e02455cb86fbb5ed1b4b

[ "MIT" ]

null

opts.py

wrn7777/MscProject

0c11cd7e00c830bbf7a0e02455cb86fbb5ed1b4b

[ "MIT" ]

null

opts.py

wrn7777/MscProject

0c11cd7e00c830bbf7a0e02455cb86fbb5ed1b4b

[ "MIT" ]

null

import argparse def parse_opts(): parser = argparse.ArgumentParser() parser.add_argument('--root_path', default='/root/data/ActivityNet', type=str, help='Root directory path of data') parser.add_argument('--video_path', default='video_kinetics_jpg', type=str, help='Directory path of Videos') parser.add_argument('--annotation_path', default='kinetics.json', type=str, help='Annotation file path') parser.add_argument('--result_path', default='results', type=str, help='Result directory path') parser.add_argument('--store_name', default='model', type=str, help='Name to store checkpoints') parser.add_argument('--modality', default='RGB', type=str, help='Modality of generated model. RGB, Flow or RGBFlow') parser.add_argument('--pretrain_modality', default='RGB', type=str, help='Modality of the pretrain model. RGB, Flow or RGBFlow') parser.add_argument('--dataset', default='kinetics', type=str, help='Used dataset (activitynet | kinetics | ucf101 | hmdb51)') parser.add_argument('--n_classes', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)') parser.add_argument('--n_finetune_classes', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.') parser.add_argument('--sample_size', default=112, type=int, help='Height and width of inputs') parser.add_argument('--sample_duration', default=16, type=int, help='Temporal duration of inputs') parser.add_argument('--downsample', default=1, type=int, help='Downsampling. Selecting 1 frame out of N') parser.add_argument('--initial_scale', default=1.0, type=float, help='Initial scale for multiscale cropping') parser.add_argument('--n_scales', default=5, type=int, help='Number of scales for multiscale cropping') parser.add_argument('--scale_step', default=0.84089641525, type=float, help='Scale step for multiscale cropping') parser.add_argument('--train_crop', default='corner', type=str, help='Spatial cropping method in training. random is uniform. corner is selection from 4 corners and 1 center. (random | corner | center)') parser.add_argument('--learning_rate', default=0.04, type=float, help='Initial learning rate (divided by 10 while training by lr scheduler)') parser.add_argument('--lr_steps', default=[15, 25, 35, 45, 60, 50, 200, 250], type=float, nargs="+", metavar='LRSteps', help='epochs to decay learning rate by 10') # [15, 30, 37, 50, 200, 250] parser.add_argument('--momentum', default=0.9, type=float, help='Momentum') parser.add_argument('--dampening', default=0.9, type=float, help='dampening of SGD') parser.add_argument('--weight_decay', default=1e-3, type=float, help='Weight Decay') parser.add_argument('--ft_begin_index', default=0, type=int, help='Begin block index of fine-tuning') parser.add_argument('--mean_dataset', default='activitynet', type=str, help='dataset for mean values of mean subtraction (activitynet | kinetics)') parser.add_argument('--no_mean_norm', action='store_true', help='If true, inputs are not normalized by mean.') parser.set_defaults(no_mean_norm=False) parser.add_argument('--std_norm', action='store_true', help='If true, inputs are normalized by standard deviation.') parser.set_defaults(std_norm=False) parser.add_argument('--nesterov', action='store_true', help='Nesterov momentum') parser.set_defaults(nesterov=False) parser.add_argument('--optimizer', default='sgd', type=str, help='Currently only support SGD') parser.add_argument('--lr_patience', default=10, type=int, help='Patience of LR scheduler. See documentation of ReduceLROnPlateau.') parser.add_argument('--batch_size', default=128, type=int, help='Batch Size') parser.add_argument('--n_epochs', default=250, type=int, help='Number of total epochs to run') parser.add_argument('--begin_epoch', default=1, type=int, help='Training begins at this epoch. Previous trained model indicated by resume_path is loaded.') parser.add_argument('--n_val_samples', default=3, type=int, help='Number of validation samples for each activity') parser.add_argument('--resume_path', default='', type=str, help='Save data (.pth) of previous training') parser.add_argument('--pretrain_path', default='', type=str, help='Pretrained model (.pth)') parser.add_argument('--ft_portion', default='complete', type=str, help='The portion of the model to apply fine tuning, either complete or last_layer') parser.add_argument('--no_train', action='store_true', help='If true, training is not performed.') parser.set_defaults(no_train=False) parser.add_argument('--no_val', action='store_true', help='If true, validation is not performed.') parser.set_defaults(no_val=False) parser.add_argument('--test', action='store_true', help='If true, test is performed.') parser.set_defaults(test=False) parser.add_argument('--test_subset', default='val', type=str, help='Used subset in test (val | test)') parser.add_argument('--scale_in_test', default=1.0, type=float, help='Spatial scale in test') parser.add_argument('--crop_position_in_test', default='c', type=str, help='Cropping method (c | tl | tr | bl | br) in test') parser.add_argument('--no_softmax_in_test', action='store_true', help='If true, output for each clip is not normalized using softmax.') parser.set_defaults(no_softmax_in_test=False) parser.add_argument('--no_cuda', action='store_true', help='If true, cuda is not used.') parser.set_defaults(no_cuda=False) parser.add_argument('--n_threads', default=16, type=int, help='Number of threads for multi-thread loading') parser.add_argument('--checkpoint', default=10, type=int, help='Trained model is saved at every this epochs.') parser.add_argument('--no_hflip', action='store_true', help='If true holizontal flipping is not performed.') parser.set_defaults(no_hflip=False) parser.add_argument('--norm_value', default=1, type=int, help='If 1, range of inputs is [0-255]. If 255, range of inputs is [0-1].') parser.add_argument('--model', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ') parser.add_argument('--version', default=1.1, type=float, help='Version of the model') parser.add_argument('--model_depth', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)') parser.add_argument('--resnet_shortcut', default='B', type=str, help='Shortcut type of resnet (A | B)') parser.add_argument('--wide_resnet_k', default=2, type=int, help='Wide resnet k') parser.add_argument('--resnext_cardinality', default=32, type=int, help='ResNeXt cardinality') parser.add_argument('--groups', default=3, type=int, help='The number of groups at group convolutions at conv layers') parser.add_argument('--width_mult', default=1.0, type=float, help='The applied width multiplier to scale number of filters') parser.add_argument('--manual_seed', default=1, type=int, help='Manually set random seed') parser.add_argument('--train_validate', action='store_true', help='If true, test is performed.') parser.set_defaults(train_validate=False) args = parser.parse_args() return args def parse_opts_online(): # Real-time test arguments with detector and classifier architecture parser = argparse.ArgumentParser() parser.add_argument('--root_path', default='/root/data/ActivityNet', type=str, help='Root directory path of data') parser.add_argument('--video_path', default='video_kinetics_jpg', type=str, help='Directory path of Videos') parser.add_argument('--video', default='data2/EgoGesture/videos/Subject02/Scene1/Color/rgb1.avi', type=str, help='Directory path of test Videos') parser.add_argument('--whole_path', default='video_kinetics_jpg', type=str, help='The whole path of Videos') parser.add_argument('--annotation_path', default='kinetics.json', type=str, help='Annotation file path') parser.add_argument('--result_path', default='results', type=str, help='Result directory path') parser.add_argument('--store_name', default='model', type=str, help='Name to store checkpoints') parser.add_argument('--modality', default='RGB', type=str, help='Modality of input data. RGB, Flow or RGBFlow') parser.add_argument('--modality_det', default='RGB', type=str, help='Modality of input data. RGB, Flow or RGBFlow') parser.add_argument('--modality_clf', default='RGB', type=str, help='Modality of input data. RGB, Flow or RGBFlow') parser.add_argument('--dataset', default='kinetics', type=str, help='Used dataset (activitynet | kinetics | ucf101 | hmdb51)') parser.add_argument('--n_classes_det', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)') parser.add_argument('--n_finetune_classes_det', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.') parser.add_argument('--n_classes_clf', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)') parser.add_argument('--n_finetune_classes_clf', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.') parser.add_argument('--n_classes', default=400, type=int, help='Number of classes (activitynet: 200, kinetics: 400, ucf101: 101, hmdb51: 51)') parser.add_argument('--n_finetune_classes', default=400, type=int, help='Number of classes for fine-tuning. n_classes is set to the number when pretraining.') parser.add_argument('--sample_size', default=112, type=int, help='Height and width of inputs') parser.add_argument('--sample_duration_det', default=16, type=int, help='Temporal duration of inputs') parser.add_argument('--sample_duration_clf', default=16, type=int, help='Temporal duration of inputs') parser.add_argument('--sample_duration', default=16, type=int, help='Temporal duration of inputs') parser.add_argument('--initial_scale', default=1.0, type=float, help='Initial scale for multiscale cropping') parser.add_argument('--n_scales', default=5, type=int, help='Number of scales for multiscale cropping') parser.add_argument('--scale_step', default=0.84089641525, type=float, help='Scale step for multiscale cropping') parser.add_argument('--train_crop', default='corner', type=str, help='Spatial cropping method in training. random is uniform. corner is selection from 4 corners and 1 center. (random | corner | center)') parser.add_argument('--learning_rate', default=0.1, type=float, help='Initial learning rate (divided by 10 while training by lr scheduler)') parser.add_argument('--lr_steps', default=[10, 20, 30, 40, 100], type=float, nargs="+", metavar='LRSteps', help='epochs to decay learning rate by 10') parser.add_argument('--momentum', default=0.9, type=float, help='Momentum') parser.add_argument('--dampening', default=0.9, type=float, help='dampening of SGD') parser.add_argument('--weight_decay', default=1e-3, type=float, help='Weight Decay') parser.add_argument('--mean_dataset', default='activitynet', type=str, help='dataset for mean values of mean subtraction (activitynet | kinetics)') parser.add_argument('--no_mean_norm', action='store_true', help='If true, inputs are not normalized by mean.') parser.set_defaults(no_mean_norm=False) parser.add_argument('--std_norm', action='store_true', help='If true, inputs are normalized by standard deviation.') parser.set_defaults(std_norm=False) parser.add_argument('--nesterov', action='store_true', help='Nesterov momentum') parser.set_defaults(nesterov=False) parser.add_argument('--optimizer', default='sgd', type=str, help='Currently only support SGD') parser.add_argument('--lr_patience', default=10, type=int, help='Patience of LR scheduler. See documentation of ReduceLROnPlateau.') parser.add_argument('--batch_size', default=128, type=int, help='Batch Size') parser.add_argument('--n_epochs', default=200, type=int, help='Number of total epochs to run') parser.add_argument('--begin_epoch', default=1, type=int, help='Training begins at this epoch. Previous trained model indicated by resume_path is loaded.') parser.add_argument('--n_val_samples', default=3, type=int, help='Number of validation samples for each activity') parser.add_argument('--resume_path_det', default='', type=str, help='Save data (.pth) of previous training') parser.add_argument('--resume_path_clf', default='', type=str, help='Save data (.pth) of previous training') parser.add_argument('--resume_path', default='', type=str, help='Save data (.pth) of previous training') parser.add_argument('--pretrain_path_det', default='', type=str, help='Pretrained model (.pth)') parser.add_argument('--pretrain_path_clf', default='', type=str, help='Pretrained model (.pth)') parser.add_argument('--pretrain_path', default='', type=str, help='Pretrained model (.pth)') parser.add_argument('--ft_begin_index', default=0, type=int, help='Begin block index of fine-tuning') parser.add_argument('--no_train', action='store_true', help='If true, training is not performed.') parser.set_defaults(no_train=False) parser.add_argument('--no_val', action='store_true', help='If true, validation is not performed.') parser.set_defaults(no_val=False) parser.add_argument('--test', action='store_true', help='If true, test is performed.') parser.set_defaults(test=True) parser.add_argument('--test_subset', default='val', type=str, help='Used subset in test (val | test)') parser.add_argument('--scale_in_test', default=1.0, type=float, help='Spatial scale in test') parser.add_argument('--crop_position_in_test', default='c', type=str, help='Cropping method (c | tl | tr | bl | br) in test') parser.add_argument('--no_softmax_in_test', action='store_true', help='If true, output for each clip is not normalized using softmax.') parser.set_defaults(no_softmax_in_test=False) parser.add_argument('--no_cuda', action='store_true', help='If true, cuda is not used.') parser.set_defaults(no_cuda=False) parser.add_argument('--n_threads', default=4, type=int, help='Number of threads for multi-thread loading') parser.add_argument('--checkpoint', default=10, type=int, help='Trained model is saved at every this epochs.') parser.add_argument('--no_hflip', action='store_true', help='If true holizontal flipping is not performed.') parser.set_defaults(no_hflip=False) parser.add_argument('--norm_value', default=1, type=int, help='If 1, range of inputs is [0-255]. If 255, range of inputs is [0-1].') parser.add_argument('--model_det', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ') parser.add_argument('--model_depth_det', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)') parser.add_argument('--resnet_shortcut_det', default='B', type=str, help='Shortcut type of resnet (A | B)') parser.add_argument('--wide_resnet_k_det', default=2, type=int, help='Wide resnet k') parser.add_argument('--resnext_cardinality_det', default=32, type=int, help='ResNeXt cardinality') parser.add_argument('--model', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ') parser.add_argument('--model_depth', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)') parser.add_argument('--resnet_shortcut', default='B', type=str, help='Shortcut type of resnet (A | B)') parser.add_argument('--wide_resnet_k', default=2, type=int, help='Wide resnet k') parser.add_argument('--resnext_cardinality', default=32, type=int, help='ResNeXt cardinality') parser.add_argument('--model_clf', default='resnet', type=str, help='(resnet | preresnet | wideresnet | resnext | densenet | ') parser.add_argument('--model_depth_clf', default=18, type=int, help='Depth of resnet (10 | 18 | 34 | 50 | 101)') parser.add_argument('--resnet_shortcut_clf', default='B', type=str, help='Shortcut type of resnet (A | B)') parser.add_argument('--wide_resnet_k_clf', default=2, type=int, help='Wide resnet k') parser.add_argument('--resnext_cardinality_clf', default=32, type=int, help='ResNeXt cardinality') parser.add_argument('--width_mult', default=1.0, type=float, help='The applied width multiplier to scale number of filters') parser.add_argument('--width_mult_det', default=1.0, type=float, help='The applied width multiplier to scale number of filters') parser.add_argument('--width_mult_clf', default=1.0, type=float, help='The applied width multiplier to scale number of filters') parser.add_argument('--manual_seed', default=1, type=int, help='Manually set random seed') parser.add_argument('--det_strategy', default='raw', type=str, help='Detector filter (raw | median | ma | ewma)') parser.add_argument('--det_queue_size', default=1, type=int, help='Detector queue size') parser.add_argument('--det_counter', default=1, type=float, help='Number of consequtive detection') parser.add_argument('--clf_strategy', default='raw', type=str, help='Classifier filter (raw | median | ma | ewma)') parser.add_argument('--clf_queue_size', default=1, type=int, help='Classifier queue size') parser.add_argument('--clf_threshold_pre', default=1, type=float, help='Cumulative sum threshold to prepredict') parser.add_argument('--clf_threshold_final', default=1, type=float, help='Cumulative sum threshold to predict at the end') parser.add_argument('--stride_len', default=1, type=int, help='Stride Lenght of video loader window') parser.add_argument('--ft_portion', default='complete', type=str, help='The portion of the model to apply fine tuning, either complete or last_layer') parser.add_argument('--groups', default=3, type=int, help='The number of groups at group convolutions at conv layers') parser.add_argument('--downsample', default=1, type=int, help='Downsampling. Selecting 1 frame out of N') args = parser.parse_args() return args

88.429245

208

0.70854

716d7b434e10d735b6becfc3a403525dbf557bd1

489

py

Python

tests/test_user.py

iyerikuzwe/pers-blog

ee773d6b3cde282b0807b119970ecd981ce52f62

[ "Unlicense" ]

null

tests/test_user.py

iyerikuzwe/pers-blog

ee773d6b3cde282b0807b119970ecd981ce52f62

[ "Unlicense" ]

null

tests/test_user.py

iyerikuzwe/pers-blog

ee773d6b3cde282b0807b119970ecd981ce52f62

[ "Unlicense" ]

null

import unittest from app.models import User class UserModelTest(unittest.TestCase): def setUp(self): self.new_user = User(password = 'banana') def test_password_setter(self): self.assertTrue(self.new_user.pass_secure is not None) def test_no_access_password(self): with self.assertRaises(AttributeError): self.new_user.password def test_password_verification(self): self.assertTrue(self.new_user.verify_password('banana'))

25.736842

64

0.715746

b7156e02358fd82916750860a15bcc78ad74b2b8

18,223

py

Python

qiskit/quantum_info/operators/pauli.py

tareqdandachi/qiskit-terra

5221fe330adba5529bfa22dc25262ac8e6291aaf

[ "Apache-2.0" ]

3

2019-05-19T17:39:38.000Z

2020-01-28T19:59:18.000Z

qiskit/quantum_info/operators/pauli.py

tareqdandachi/qiskit-terra

5221fe330adba5529bfa22dc25262ac8e6291aaf

[ "Apache-2.0" ]

4

2019-05-13T15:28:46.000Z

2019-12-19T20:47:02.000Z

qiskit/quantum_info/operators/pauli.py

tareqdandachi/qiskit-terra

5221fe330adba5529bfa22dc25262ac8e6291aaf

[ "Apache-2.0" ]

1

2021-07-07T16:55:41.000Z

# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2017. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. # pylint: disable=invalid-name,assignment-from-no-return """ Tools for working with Pauli Operators. A simple pauli class and some tools. """ import numpy as np from scipy import sparse from qiskit.exceptions import QiskitError def _make_np_bool(arr): if not isinstance(arr, (list, np.ndarray, tuple)): arr = [arr] arr = np.asarray(arr).astype(np.bool) return arr def _count_set_bits(i): """ Counts the number of set bits in a uint (or a numpy array of uints). """ i = i - ((i >> 1) & 0x55555555) i = (i & 0x33333333) + ((i >> 2) & 0x33333333) return (((i + (i >> 4) & 0xF0F0F0F) * 0x1010101) & 0xffffffff) >> 24 class Pauli: """A simple class representing Pauli Operators. The form is P_zx = (-i)^dot(z,x) Z^z X^x where z and x are elements of Z_2^n. That is, there are 4^n elements (no phases in this group). For example, for 1 qubit P_00 = Z^0 X^0 = I P_01 = X P_10 = Z P_11 = -iZX = (-i) iY = Y The overload __mul__ does not track the sign: P1*P2 = Z^(z1+z2) X^(x1+x2) but sgn_prod does __mul__ and track the phase: P1*P2 = (-i)^dot(z1+z2,x1+x2) Z^(z1+z2) X^(x1+x2) where the sums are taken modulo 2. Pauli vectors z and x are supposed to be defined as boolean numpy arrays. Ref. Jeroen Dehaene and Bart De Moor Clifford group, stabilizer states, and linear and quadratic operations over GF(2) Phys. Rev. A 68, 042318 – Published 20 October 2003 """ def __init__(self, z=None, x=None, label=None): r"""Make the Pauli object. Note that, for the qubit index: - Order of z, x vectors is q_0 ... q_{n-1}, - Order of pauli label is q_{n-1} ... q_0 E.g., - z and x vectors: z = [z_0 ... z_{n-1}], x = [x_0 ... x_{n-1}] - a pauli is $P_{n-1} \otimes ... \otimes P_0$ Args: z (numpy.ndarray): boolean, z vector x (numpy.ndarray): boolean, x vector label (str): pauli label """ if label is not None: a = Pauli.from_label(label) self._z = a.z self._x = a.x else: self._init_from_bool(z, x) @classmethod def from_label(cls, label): r"""Take pauli string to construct pauli. The qubit index of pauli label is q_{n-1} ... q_0. E.g., a pauli is $P_{n-1} \otimes ... \otimes P_0$ Args: label (str): pauli label Returns: Pauli: the constructed pauli Raises: QiskitError: invalid character in the label """ z = np.zeros(len(label), dtype=np.bool) x = np.zeros(len(label), dtype=np.bool) for i, char in enumerate(label): if char == 'X': x[-i - 1] = True elif char == 'Z': z[-i - 1] = True elif char == 'Y': z[-i - 1] = True x[-i - 1] = True elif char != 'I': raise QiskitError("Pauli string must be only consisted of 'I', 'X', " "'Y' or 'Z' but you have {}.".format(char)) return cls(z=z, x=x) def _init_from_bool(self, z, x): """Construct pauli from boolean array. Args: z (numpy.ndarray): boolean, z vector x (numpy.ndarray): boolean, x vector Returns: Pauli: self Raises: QiskitError: if z or x are None or the length of z and x are different. """ if z is None: raise QiskitError("z vector must not be None.") if x is None: raise QiskitError("x vector must not be None.") if len(z) != len(x): raise QiskitError("length of z and x vectors must be " "the same. (z: {} vs x: {})".format(len(z), len(x))) z = _make_np_bool(z) x = _make_np_bool(x) self._z = z self._x = x return self def __len__(self): """Return number of qubits.""" return len(self._z) def __repr__(self): """Return the representation of self.""" z = [p for p in self._z] x = [p for p in self._x] ret = self.__class__.__name__ + "(z={}, x={})".format(z, x) return ret def __str__(self): """Output the Pauli label.""" label = '' for z, x in zip(self._z[::-1], self._x[::-1]): if not z and not x: label = ''.join([label, 'I']) elif not z and x: label = ''.join([label, 'X']) elif z and not x: label = ''.join([label, 'Z']) else: label = ''.join([label, 'Y']) return label def __eq__(self, other): """Return True if all Pauli terms are equal. Args: other (Pauli): other pauli Returns: bool: are self and other equal. """ res = False if len(self) == len(other): if np.all(self._z == other.z) and np.all(self._x == other.x): res = True return res def __mul__(self, other): """Multiply two Paulis. Returns: Pauli: the multiplied pauli. Raises: QiskitError: if the number of qubits of two paulis are different. """ if len(self) != len(other): raise QiskitError("These Paulis cannot be multiplied - different " "number of qubits. ({} vs {})".format(len(self), len(other))) z_new = np.logical_xor(self._z, other.z) x_new = np.logical_xor(self._x, other.x) return Pauli(z_new, x_new) def __imul__(self, other): """Multiply two Paulis. Returns: Pauli: the multiplied pauli and save to itself, in-place computation. Raises: QiskitError: if the number of qubits of two paulis are different. """ if len(self) != len(other): raise QiskitError("These Paulis cannot be multiplied - different " "number of qubits. ({} vs {})".format(len(self), len(other))) self._z = np.logical_xor(self._z, other.z) self._x = np.logical_xor(self._x, other.x) return self def __hash__(self): """Make object is hashable, based on the pauli label to hash.""" return hash(str(self)) @property def z(self): """Getter of z.""" return self._z @property def x(self): """Getter of x.""" return self._x @staticmethod def sgn_prod(p1, p2): r""" Multiply two Paulis and track the phase. $P_3 = P_1 \otimes P_2$: X*Y Args: p1 (Pauli): pauli 1 p2 (Pauli): pauli 2 Returns: Pauli: the multiplied pauli complex: the sign of the multiplication, 1, -1, 1j or -1j """ phase = Pauli._prod_phase(p1, p2) new_pauli = p1 * p2 return new_pauli, phase @property def numberofqubits(self): """Number of qubits.""" return len(self) def to_label(self): """Present the pauli labels in I, X, Y, Z format. Order is $q_{n-1} .... q_0$ Returns: str: pauli label """ return str(self) def to_matrix(self): r""" Convert Pauli to a matrix representation. Order is q_{n-1} .... q_0, i.e., $P_{n-1} \otimes ... P_0$ Returns: numpy.array: a matrix that represents the pauli. """ mat = self.to_spmatrix() return mat.toarray() def to_spmatrix(self): r""" Convert Pauli to a sparse matrix representation (CSR format). Order is q_{n-1} .... q_0, i.e., $P_{n-1} \otimes ... P_0$ Returns: scipy.sparse.csr_matrix: a sparse matrix with CSR format that represents the pauli. """ _x, _z = self._x, self._z n = 2**len(_x) twos_array = 1 << np.arange(len(_x)) xs = np.array(_x).dot(twos_array) zs = np.array(_z).dot(twos_array) rows = np.arange(n+1, dtype=np.uint) columns = rows ^ xs global_factor = (-1j)**np.dot(np.array(_x, dtype=np.uint), _z) data = global_factor*(-1)**np.mod(_count_set_bits(zs & rows), 2) return sparse.csr_matrix((data, columns, rows), shape=(n, n)) def to_operator(self): """Convert to Operator object.""" # Place import here to avoid cyclic import from circuit visualization from qiskit.quantum_info.operators.operator import Operator return Operator(self.to_matrix()) def to_instruction(self): """Convert to Pauli circuit instruction.""" from qiskit.circuit import QuantumCircuit, QuantumRegister from qiskit.extensions.standard import IdGate, XGate, YGate, ZGate gates = {'I': IdGate(), 'X': XGate(), 'Y': YGate(), 'Z': ZGate()} label = self.to_label() n_qubits = self.numberofqubits qreg = QuantumRegister(n_qubits) circuit = QuantumCircuit(qreg, name='Pauli:{}'.format(label)) for i, pauli in enumerate(reversed(label)): circuit.append(gates[pauli], [qreg[i]]) return circuit.to_instruction() def update_z(self, z, indices=None): """ Update partial or entire z. Args: z (numpy.ndarray or list): to-be-updated z indices (numpy.ndarray or list or optional): to-be-updated qubit indices Returns: Pauli: self Raises: QiskitError: when updating whole z, the number of qubits must be the same. """ z = _make_np_bool(z) if indices is None: if len(self._z) != len(z): raise QiskitError("During updating whole z, you can not " "change the number of qubits.") self._z = z else: if not isinstance(indices, list) and not isinstance(indices, np.ndarray): indices = [indices] for p, idx in enumerate(indices): self._z[idx] = z[p] return self def update_x(self, x, indices=None): """ Update partial or entire x. Args: x (numpy.ndarray or list): to-be-updated x indices (numpy.ndarray or list or optional): to-be-updated qubit indices Returns: Pauli: self Raises: QiskitError: when updating whole x, the number of qubits must be the same. """ x = _make_np_bool(x) if indices is None: if len(self._x) != len(x): raise QiskitError("During updating whole x, you can not change " "the number of qubits.") self._x = x else: if not isinstance(indices, list) and not isinstance(indices, np.ndarray): indices = [indices] for p, idx in enumerate(indices): self._x[idx] = x[p] return self def insert_paulis(self, indices=None, paulis=None, pauli_labels=None): """ Insert or append pauli to the targeted indices. If indices is None, it means append at the end. Args: indices (list[int]): the qubit indices to be inserted paulis (Pauli): the to-be-inserted or appended pauli pauli_labels (list[str]): the to-be-inserted or appended pauli label Note: the indices refers to the location of original paulis, e.g. if indices = [0, 2], pauli_labels = ['Z', 'I'] and original pauli = 'ZYXI' the pauli will be updated to ZY'I'XI'Z' 'Z' and 'I' are inserted before the qubit at 0 and 2. Returns: Pauli: self Raises: QiskitError: provide both `paulis` and `pauli_labels` at the same time """ if pauli_labels is not None: if paulis is not None: raise QiskitError("Please only provide either `paulis` or `pauli_labels`") if isinstance(pauli_labels, str): pauli_labels = list(pauli_labels) # since pauli label is in reversed order. paulis = Pauli.from_label(pauli_labels[::-1]) if indices is None: # append self._z = np.concatenate((self._z, paulis.z)) self._x = np.concatenate((self._x, paulis.x)) else: if not isinstance(indices, list): indices = [indices] self._z = np.insert(self._z, indices, paulis.z) self._x = np.insert(self._x, indices, paulis.x) return self def append_paulis(self, paulis=None, pauli_labels=None): """ Append pauli at the end. Args: paulis (Pauli): the to-be-inserted or appended pauli pauli_labels (list[str]): the to-be-inserted or appended pauli label Returns: Pauli: self """ return self.insert_paulis(None, paulis=paulis, pauli_labels=pauli_labels) def delete_qubits(self, indices): """ Delete pauli at the indices. Args: indices(list[int]): the indices of to-be-deleted paulis Returns: Pauli: self """ if not isinstance(indices, list): indices = [indices] self._z = np.delete(self._z, indices) self._x = np.delete(self._x, indices) return self @classmethod def random(cls, num_qubits, seed=None): """Return a random Pauli on number of qubits. Args: num_qubits (int): the number of qubits seed (int): Optional. To set a random seed. Returns: Pauli: the random pauli """ rng = np.random.RandomState(seed) z = rng.randint(2, size=num_qubits).astype(np.bool) x = rng.randint(2, size=num_qubits).astype(np.bool) return cls(z, x) @classmethod def pauli_single(cls, num_qubits, index, pauli_label): """ Generate single qubit pauli at index with pauli_label with length num_qubits. Args: num_qubits (int): the length of pauli index (int): the qubit index to insert the single qubit pauli_label (str): pauli Returns: Pauli: single qubit pauli """ tmp = Pauli.from_label(pauli_label) z = np.zeros(num_qubits, dtype=np.bool) x = np.zeros(num_qubits, dtype=np.bool) z[index] = tmp.z[0] x[index] = tmp.x[0] return cls(z, x) def kron(self, other): r"""Kronecker product of two paulis. Order is $P_2 (other) \otimes P_1 (self)$ Args: other (Pauli): P2 Returns: Pauli: self """ self.insert_paulis(indices=None, paulis=other) return self @staticmethod def _prod_phase(p1, p2): phase_changes = 0 for z1, x1, z2, x2 in zip(p1.z, p1.x, p2.z, p2.x): if z1 and not x1: # Z if x2: phase_changes = phase_changes - 1 if z2 else phase_changes + 1 elif not z1 and x1: # X if z2: phase_changes = phase_changes + 1 if x2 else phase_changes - 1 elif z1 and x1: # Y if not z2 and x2: # X phase_changes -= 1 elif z2 and not x2: # Z phase_changes += 1 phase = (1j) ** (phase_changes % 4) return phase def pauli_group(number_of_qubits, case='weight'): """Return the Pauli group with 4^n elements. The phases have been removed. case 'weight' is ordered by Pauli weights and case 'tensor' is ordered by I,X,Y,Z counting lowest qubit fastest. Args: number_of_qubits (int): number of qubits case (str): determines ordering of group elements ('weight' or 'tensor') Returns: list: list of Pauli objects Raises: QiskitError: case is not 'weight' or 'tensor' QiskitError: number_of_qubits is larger than 4 """ if number_of_qubits < 5: temp_set = [] if case == 'weight': tmp = pauli_group(number_of_qubits, case='tensor') # sort on the weight of the Pauli operator return sorted(tmp, key=lambda x: -np.count_nonzero( np.array(x.to_label(), 'c') == b'I')) elif case == 'tensor': # the Pauli set is in tensor order II IX IY IZ XI ... for k in range(4 ** number_of_qubits): z = np.zeros(number_of_qubits, dtype=np.bool) x = np.zeros(number_of_qubits, dtype=np.bool) # looping over all the qubits for j in range(number_of_qubits): # making the Pauli for each j fill it in from the # end first element = (k // (4 ** j)) % 4 if element == 1: x[j] = True elif element == 2: z[j] = True x[j] = True elif element == 3: z[j] = True temp_set.append(Pauli(z, x)) return temp_set else: raise QiskitError("Only support 'weight' or 'tensor' cases " "but you have {}.".format(case)) raise QiskitError("Only support number of qubits is less than 5")

31.692174

96

0.541239

755e029388eb6e0af6f9aa285c6436b0a379736f

3,931

py

Python

models/networks/normalization.py

ustato/sber-swap

1140e085e165ed14e1098d81b7abd63feafedecf

[ "Apache-2.0" ]

210

2022-01-24T12:58:08.000Z

2022-03-31T07:54:22.000Z

models/networks/normalization.py

ustato/sber-swap

1140e085e165ed14e1098d81b7abd63feafedecf

[ "Apache-2.0" ]

16

2022-01-24T23:45:04.000Z

2022-03-30T22:53:46.000Z

models/networks/normalization.py

ustato/sber-swap

1140e085e165ed14e1098d81b7abd63feafedecf

[ "Apache-2.0" ]

35

2022-01-25T00:55:36.000Z

2022-03-30T22:45:27.000Z

""" Copyright (C) 2019 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). """ import re import torch import torch.nn as nn import torch.nn.functional as F from models.networks.sync_batchnorm import SynchronizedBatchNorm2d import torch.nn.utils.spectral_norm as spectral_norm def get_nonspade_norm_layer(opt, norm_type='instance'): # helper function to get # output channels of the previous layer def get_out_channel(layer): if hasattr(layer, 'out_channels'): return getattr(layer, 'out_channels') return layer.weight.size(0) # this function will be returned def add_norm_layer(layer): nonlocal norm_type if norm_type.startswith('spectral'): layer = spectral_norm(layer) subnorm_type = norm_type[len('spectral'):] if subnorm_type == 'none' or len(subnorm_type) == 0: return layer # remove bias in the previous layer, which is meaningless # since it has no effect after normalization if getattr(layer, 'bias', None) is not None: delattr(layer, 'bias') layer.register_parameter('bias', None) if subnorm_type == 'batch': norm_layer = nn.BatchNorm2d(get_out_channel(layer), affine=True) elif subnorm_type == 'sync_batch': norm_layer = SynchronizedBatchNorm2d(get_out_channel(layer), affine=True) elif subnorm_type == 'instance': norm_layer = nn.InstanceNorm2d(get_out_channel(layer), affine=False) else: raise ValueError('normalization layer %s is not recognized' % subnorm_type) return nn.Sequential(layer, norm_layer) return add_norm_layer class InstanceNorm2d(nn.Module): def __init__(self, epsilon=1e-8, **kwargs): super().__init__(**kwargs) self.epsilon = epsilon def forward(self, x): #x = x - torch.mean(x, (2, 3), True) tmp = torch.mul(x, x) # or x ** 2 tmp = torch.rsqrt(torch.mean(tmp, (2, 3), True) + self.epsilon) return x * tmp class SPADE(nn.Module): def __init__(self, config_text, norm_nc, label_nc): super().__init__() assert config_text.startswith('spade') parsed = re.search('spade(\D+)(\d)x\d', config_text) param_free_norm_type = str(parsed.group(1)) ks = int(parsed.group(2)) if param_free_norm_type == 'instance': self.param_free_norm = InstanceNorm2d(norm_nc) elif param_free_norm_type == 'syncbatch': self.param_free_norm = SynchronizedBatchNorm2d(norm_nc, affine=False) elif param_free_norm_type == 'batch': self.param_free_norm = nn.BatchNorm2d(norm_nc, affine=False) else: raise ValueError('%s is not a recognized param-free norm type in SPADE' % param_free_norm_type) # The dimension of the intermediate embedding space. Yes, hardcoded. nhidden = 128 if norm_nc>128 else norm_nc pw = ks // 2 self.mlp_shared = nn.Sequential( nn.Conv2d(label_nc, nhidden, kernel_size=ks, padding=pw), nn.ReLU() ) self.mlp_gamma = nn.Conv2d(nhidden, norm_nc, kernel_size=ks, padding=pw, bias=False) self.mlp_beta = nn.Conv2d(nhidden, norm_nc, kernel_size=ks, padding=pw, bias=False) def forward(self, x, segmap): # Part 1. generate parameter-free normalized activations normalized = self.param_free_norm(x) # Part 2. produce scaling and bias conditioned on semantic map segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest') actv = self.mlp_shared(segmap) gamma = self.mlp_gamma(actv) beta = self.mlp_beta(actv) # apply scale and bias out = normalized * gamma + beta return out

36.398148

105

0.643348

25cc16a9f51ad037fe1ee19f962220f54cc9b727

3,193

py

Python

data/preprocess_ljspeech.py

jefflai108/VGNSL

0edc3db3691abbad2a505b2165bd99e7a62d784f

[ "MIT" ]

1

2022-03-08T16:09:03.000Z

data/preprocess_ljspeech.py

jefflai108/VGNSL

0edc3db3691abbad2a505b2165bd99e7a62d784f

[ "MIT" ]

null

data/preprocess_ljspeech.py

jefflai108/VGNSL

0edc3db3691abbad2a505b2165bd99e7a62d784f

[ "MIT" ]

null

import os import string import shutil import tqdm import benepar import spacy from nltk import Tree def replace_leaves(tree, leaves): if isinstance(tree, str): return leaves[0] left = 0 new_children = list() for child in tree: n_leaves = 1 if isinstance(child, str) else len(child.leaves()) new_child = replace_leaves(child, leaves[left:left+n_leaves]) new_children.append(new_child) left += n_leaves return Tree(tree.label(), new_children) def remove_label(tree): if len(tree) == 1: if len(tree.leaves()) == 1: return tree.leaves()[0] return remove_label(tree[0]) new_children = list() for child in tree: new_child = remove_label(child) new_children.append(new_child) return Tree('', new_children) def _read_file(scp): with open(scp, 'r') as f: content = f.readlines() content = [x.strip('\n') for x in content] return content def _write_to_file(string, fpath): f = open(fpath, 'w') f.write(string) f.close() def prep_for_mfa(target_data_dir, wav_scp, text, ljspeech_download_dir): # create directory contains {utt_id}.wav/{utt_id}.txt/{utt_id}-tree.txt for MFA utt2wavpath = _read_file(wav_scp) utt2wavpath = {x.split()[0]:x.split()[1] for x in utt2wavpath} utt2transcript = _read_file(text) utt2transcript = {x.split()[0]:' '.join(x.split()[1:]) for x in utt2transcript} exclude = set(string.punctuation) # setup pre-trained English parser nlp = spacy.load('en_core_web_md') if spacy.__version__.startswith('2'): nlp.add_pipe(benepar.BeneparComponent("benepar_en3")) else: nlp.add_pipe("benepar", config={"model": "benepar_en3"}) for utt in tqdm.tqdm(utt2wavpath.keys()): full_wavpath = os.path.join(ljspeech_download_dir, utt2wavpath[utt]) assert os.path.exists(full_wavpath) transcript = utt2transcript[utt].lower() # lower case transcript = ''.join(ch for ch in transcript if ch not in exclude) # remove puncs transcript = ' '.join(transcript.split()) # remove extra spaces doc = nlp(transcript) sent = list(doc.sents)[0] tree = Tree.fromstring(sent._.parse_string) tree = remove_label(tree) tree = ' '.join(str(tree).replace('(', ' ( ').replace(')', ' ) ').split()) shutil.copyfile(full_wavpath, os.path.join(target_data_dir, utt + '.wav')) _write_to_file(transcript, os.path.join(target_data_dir, utt + '.txt')) _write_to_file(tree, os.path.join(target_data_dir, utt + '-tree.txt')) if __name__ == '__main__': split = 'eval1' #split = 'dev' orig_data_dir = '/data/sls/scratch/clai24/syntax/VGNSL-feature/data/LJspeech/' + split target_data_dir = '/data/sls/scratch/clai24/syntax/VGNSL-feature/data/LJspeech/' + split + '-speaker' ljspeech_download_dir = '/data/sls/temp/clai24/lottery-ticket/espnet/egs2/ljspeech/tts1' prep_for_mfa(target_data_dir, os.path.join(orig_data_dir, 'wav.scp'), os.path.join(orig_data_dir, 'text'), ljspeech_download_dir)

35.087912

105

0.645474

3b0f8f8a55dd9fa85dd51be9ad69db0cd346df09

976

py

Python

tests/builder/executors/exception_handling_executor_test.py

sharp-pixel/opensearch-benchmark

32b2a68c3672f680fbc90a591f6c15b46701142e

[ "Apache-2.0" ]

26

2021-12-09T06:58:53.000Z

2022-03-29T15:01:37.000Z

tests/builder/executors/exception_handling_executor_test.py

sharp-pixel/opensearch-benchmark

32b2a68c3672f680fbc90a591f6c15b46701142e

[ "Apache-2.0" ]

63

2021-12-08T20:47:17.000Z

2022-03-31T18:21:31.000Z

tests/builder/executors/exception_handling_executor_test.py

sharp-pixel/opensearch-benchmark

32b2a68c3672f680fbc90a591f6c15b46701142e

[ "Apache-2.0" ]

5

2021-12-09T10:17:30.000Z

2022-03-03T05:31:12.000Z

import unittest.mock as mock from unittest import TestCase from osbenchmark.builder.executors.exception_handling_shell_executor import ExceptionHandlingShellExecutor from osbenchmark.exceptions import ExecutorError class ExceptionHandlingShellExecutorTests(TestCase): def setUp(self): self.executor_impl = mock.Mock() self.executor_impl.execute.return_value = None self.executor_impl.copy.return_value = None self.executor = ExceptionHandlingShellExecutor(self.executor_impl) self.host = None self.command = None self.source = "/path/to/source" self.destination = "/path/to/dest" def test_success_executing_command(self): self.executor.execute(self.host, self.command) def test_failure_executing_command(self): self.executor_impl.execute.side_effect = Exception("error") with self.assertRaises(ExecutorError): self.executor.execute(self.host, self.command)

34.857143

106

0.73873

dc450fbb522a1d3a54a25a0a05ac6f5c204cb0a7

9,106

py

Python

rpython/rtyper/raisingops.py

jptomo/pypy-lang-scheme

55edb2cec69d78f86793282a4566fcbc1ef9fcac

[ "MIT" ]

34

2015-07-09T04:53:27.000Z

2021-07-19T05:22:27.000Z

rpython/rtyper/raisingops.py

jptomo/pypy-lang-scheme

55edb2cec69d78f86793282a4566fcbc1ef9fcac

[ "MIT" ]

6

2015-05-30T17:20:45.000Z

2017-06-12T14:29:23.000Z

rpython/rtyper/raisingops.py

jptomo/pypy-lang-scheme

55edb2cec69d78f86793282a4566fcbc1ef9fcac

[ "MIT" ]

11

2015-09-07T14:26:08.000Z

2020-04-10T07:20:41.000Z

import sys from rpython.rlib.rarithmetic import r_longlong, r_uint, intmask from rpython.rtyper.lltypesystem.lloperation import llop from rpython.rtyper.lltypesystem.lltype import Signed, SignedLongLong, \ UnsignedLongLong #XXX original SIGNED_RIGHT_SHIFT_ZERO_FILLS not taken into account #XXX assuming HAVE_LONG_LONG (int_mul_ovf) #XXX should int_mod and int_floordiv return an intmask(...) instead? LONG_MAX = sys.maxint LONG_MIN = -sys.maxint-1 LLONG_MAX = r_longlong(2 ** (r_longlong.BITS-1) - 1) LLONG_MIN = -LLONG_MAX-1 def int_floordiv_zer(x, y): '''#define OP_INT_FLOORDIV_ZER(x,y,r,err) \ if ((y)) { OP_INT_FLOORDIV(x,y,r,err); } \ else FAIL_ZER(err, "integer division") ''' if y: return llop.int_floordiv(Signed, x, y) else: raise ZeroDivisionError("integer division") def uint_floordiv_zer(x, y): '''#define OP_UINT_FLOORDIV_ZER(x,y,r,err) \ if ((y)) { OP_UINT_FLOORDIV(x,y,r,err); } \ else FAIL_ZER(err, "unsigned integer division") ''' if y: return x / y else: raise ZeroDivisionError("unsigned integer division") def llong_floordiv_zer(x, y): '''#define OP_LLONG_FLOORDIV_ZER(x,y,r) \ if ((y)) { OP_LLONG_FLOORDIV(x,y,r); } \ else FAIL_ZER("integer division") ''' if y: return llop.llong_floordiv(SignedLongLong, x, y) else: raise ZeroDivisionError("integer division") def ullong_floordiv_zer(x, y): '''#define OP_ULLONG_FLOORDIV_ZER(x,y,r) \ if ((y)) { OP_ULLONG_FLOORDIV(x,y,r); } \ else FAIL_ZER("unsigned integer division") ''' if y: return llop.llong_floordiv(UnsignedLongLong, x, y) else: raise ZeroDivisionError("unsigned integer division") def int_neg_ovf(x): if x == LONG_MIN: raise OverflowError("integer negate") return -x def llong_neg_ovf(x): if x == LLONG_MIN: raise OverflowError("integer negate") return -x def int_abs_ovf(x): if x == LONG_MIN: raise OverflowError("integer absolute") if x < 0: return -x else: return x def llong_abs_ovf(x): if x == LLONG_MIN: raise OverflowError("integer absolute") if x < 0: return -x else: return x def int_add_ovf(x, y): '''#define OP_INT_ADD_OVF(x,y,r,err) \ OP_INT_ADD(x,y,r,err); \ if ((r^(x)) >= 0 || (r^(y)) >= 0); \ else FAIL_OVF(err, "integer addition") ''' r = intmask(r_uint(x) + r_uint(y)) if r^x >= 0 or r^y >= 0: return r else: raise OverflowError("integer addition") def int_add_nonneg_ovf(x, y): ''' OP_INT_ADD(x,y,r); \ if (r >= (x)); \ else FAIL_OVF("integer addition") ''' r = intmask(r_uint(x) + r_uint(y)) if r >= x: return r else: raise OverflowError("integer addition") def int_sub_ovf(x, y): '''#define OP_INT_SUB_OVF(x,y,r,err) \ OP_INT_SUB(x,y,r,err); \ if ((r^(x)) >= 0 || (r^~(y)) >= 0); \ else FAIL_OVF(err, "integer subtraction") ''' r = intmask(r_uint(x) - r_uint(y)) if r^x >= 0 or r^~y >= 0: return r else: raise OverflowError("integer subtraction") def int_lshift_ovf(x, y): '''#define OP_INT_LSHIFT_OVF(x,y,r,err) \ OP_INT_LSHIFT(x,y,r,err); \ if ((x) != Py_ARITHMETIC_RIGHT_SHIFT(long, r, (y))) \ FAIL_OVF(err, "x<<y losing bits or changing sign") ''' r = x << y if x != _Py_ARITHMETIC_RIGHT_SHIFT(r, y): raise OverflowError("x<<y losing bits or changing sign") else: return r def int_rshift_val(x, y): '''#define OP_INT_RSHIFT_VAL(x,y,r,err) \ if ((y) >= 0) { OP_INT_RSHIFT(x,y,r,err); } \ else FAIL_VAL(err, "negative shift count") ''' if y >= 0: return _Py_ARITHMETIC_RIGHT_SHIFT(x, y) else: raise ValueError("negative shift count") def int_lshift_val(x, y): '''#define OP_INT_LSHIFT_VAL(x,y,r,err) \ if ((y) >= 0) { OP_INT_LSHIFT(x,y,r,err); } \ else FAIL_VAL(err, "negative shift count") ''' if y >= 0: return x << y else: raise ValueError("negative shift count") def int_lshift_ovf_val(x, y): '''#define OP_INT_LSHIFT_OVF_VAL(x,y,r,err) \ if ((y) >= 0) { OP_INT_LSHIFT_OVF(x,y,r,err); } \ else FAIL_VAL(err, "negative shift count") ''' if y >= 0: return int_lshift_ovf(x, y) else: raise ValueError("negative shift count") def int_floordiv_ovf(x, y): '''#define OP_INT_FLOORDIV_OVF(x,y,r,err) \ if ((y) == -1 && (x) < 0 && ((unsigned long)(x) << 1) == 0) \ FAIL_OVF(err, "integer division"); \ OP_INT_FLOORDIV(x,y,r,err) ''' if y == -1 and x < 0 and (r_uint(x) << 1) == 0: raise OverflowError("integer division") else: return llop.int_floordiv(Signed, x, y) def int_floordiv_ovf_zer(x, y): '''#define OP_INT_FLOORDIV_OVF_ZER(x,y,r,err) \ if ((y)) { OP_INT_FLOORDIV_OVF(x,y,r,err); } \ else FAIL_ZER(err, "integer division") ''' if y: return int_floordiv_ovf(x, y) else: raise ZeroDivisionError("integer division") def int_mod_ovf(x, y): '''#define OP_INT_MOD_OVF(x,y,r,err) \ if ((y) == -1 && (x) < 0 && ((unsigned long)(x) << 1) == 0) \ FAIL_OVF(err, "integer modulo"); \ OP_INT_MOD(x,y,r,err) ''' if y == -1 and x < 0 and (r_uint(x) << 1) == 0: raise OverflowError("integer modulo") else: return llop.int_mod(Signed, x, y) def int_mod_zer(x, y): '''#define OP_INT_MOD_ZER(x,y,r,err) \ if ((y)) { OP_INT_MOD(x,y,r,err); } \ else FAIL_ZER(err, "integer modulo") ''' if y: return llop.int_mod(Signed, x, y) else: raise ZeroDivisionError("integer modulo") def uint_mod_zer(x, y): '''#define OP_UINT_MOD_ZER(x,y,r,err) \ if ((y)) { OP_UINT_MOD(x,y,r,err); } \ else FAIL_ZER(err, "unsigned integer modulo") ''' if y: return x % y else: raise ZeroDivisionError("unsigned integer modulo") def int_mod_ovf_zer(x, y): '''#define OP_INT_MOD_OVF_ZER(x,y,r,err) \ if ((y)) { OP_INT_MOD_OVF(x,y,r,err); } \ else FAIL_ZER(err, "integer modulo") ''' if y: return int_mod_ovf(x, y) else: raise ZeroDivisionError("integer modulo") def llong_mod_zer(x, y): '''#define OP_LLONG_MOD_ZER(x,y,r) \ if ((y)) { OP_LLONG_MOD(x,y,r); } \ else FAIL_ZER("integer modulo") ''' if y: return llop.int_mod(SignedLongLong, x, y) else: raise ZeroDivisionError("integer modulo") # Helpers... def _Py_ARITHMETIC_RIGHT_SHIFT(i, j): ''' // Py_ARITHMETIC_RIGHT_SHIFT // C doesn't define whether a right-shift of a signed integer sign-extends // or zero-fills. Here a macro to force sign extension: // Py_ARITHMETIC_RIGHT_SHIFT(TYPE, I, J) // Return I >> J, forcing sign extension. // Requirements: // I is of basic signed type TYPE (char, short, int, long, or long long). // TYPE is one of char, short, int, long, or long long, although long long // must not be used except on platforms that support it. // J is an integer >= 0 and strictly less than the number of bits in TYPE // (because C doesn't define what happens for J outside that range either). // Caution: // I may be evaluated more than once. #ifdef SIGNED_RIGHT_SHIFT_ZERO_FILLS #define Py_ARITHMETIC_RIGHT_SHIFT(TYPE, I, J) \ ((I) < 0 ? ~((~(unsigned TYPE)(I)) >> (J)) : (I) >> (J)) #else #define Py_ARITHMETIC_RIGHT_SHIFT(TYPE, I, J) ((I) >> (J)) #endif ''' return i >> j #XXX some code from src/int.h seems missing #def int_mul_ovf(x, y): #HAVE_LONG_LONG version # '''{ \ # PY_LONG_LONG lr = (PY_LONG_LONG)(x) * (PY_LONG_LONG)(y); \ # r = (long)lr; \ # if ((PY_LONG_LONG)r == lr); \ # else FAIL_OVF(err, "integer multiplication"); \ # } # ''' # lr = r_longlong(x) * r_longlong(y); # r = intmask(lr) # if r_longlong(r) == lr: # return r # else: # raise OverflowError("integer multiplication") #not HAVE_LONG_LONG version def int_mul_ovf(a, b): #long a, long b, long *longprod): longprod = a * b doubleprod = float(a) * float(b) doubled_longprod = float(longprod) # Fast path for normal case: small multiplicands, and no info is lost in either method. if doubled_longprod == doubleprod: return longprod # Somebody somewhere lost info. Close enough, or way off? Note # that a != 0 and b != 0 (else doubled_longprod == doubleprod == 0). # The difference either is or isn't significant compared to the # true value (of which doubleprod is a good approximation). # absdiff/absprod <= 1/32 iff 32 * absdiff <= absprod -- 5 good bits is "close enough" if 32.0 * abs(doubled_longprod - doubleprod) <= abs(doubleprod): return longprod raise OverflowError("integer multiplication")

30.763514

92

0.59664

a6f31e3a6c49aff4cb4ea4bc4e246cc8f81fba99

35,569

py

Python

parser/fase2/team06/TablaDeSimbolos.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

null

parser/fase2/team06/TablaDeSimbolos.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

null

parser/fase2/team06/TablaDeSimbolos.py

webdev188/tytus

847071edb17b218f51bb969d335a8ec093d13f94

[ "MIT" ]

null

from enum import Enum import pandas as pd import reportes as h class TIPO_DE_DATO(Enum) : NUMERO = 1 FLOTANTE=2 CARACTER=3 #ir agregando los tipos faltantes para la comprobacion de tipos en las operacioens class Simbolo() : 'Esta clase representa un simbolo dentro de nuestra tabla de simbolos' def __init__(self, id, nombre, tipo, tamanoCadena, BD, tabla, obligatorio, pk, FK, referenciaTablaFK, referenciaCampoFK, unique, idUnique, check, condicionCheck, idCheck,valor,default, idConstraintFK, idConstraintPK, tipoIndex, sortIndex, ambito, rol) : self.id = id self.nombre = nombre self.tipo = tipo self.tamanoCadena = tamanoCadena self.BD = BD self.tabla = tabla self.obligatorio = obligatorio self.pk = pk self.FK = FK self.referenciaTablaFK = referenciaTablaFK self.referenciaCampoFK = referenciaCampoFK self.unique = unique self.idUnique = idUnique self.check = check self.condicionCheck = condicionCheck self.idCheck = idCheck self.valor = valor self.default = default self.idConstraintFK = idConstraintFK self.idConstraintPK = idConstraintPK self.tipoIndex = tipoIndex self.sortIndex = sortIndex self.ambito = ambito self.rol = rol class TablaDeSimbolos() : 'Esta clase representa la tabla de simbolos' def __init__(self, simbolos = {}) : self.simbolos = simbolos def agregar(self, simbolo) : self.simbolos[simbolo.nombre] = simbolo def obtener(self, id) : print("a este entra") if not id in self.simbolos : print('Error1: variable ', id, ' no definida.') return("no definida") return self.simbolos[id] def obtener2(self, nombre) : print("a este entra") if not nombre in self.simbolos : print('Error1: variable ', nombre, ' no definida.') return 0 return self.simbolos[nombre] def actualizar(self, simbolo) : if not simbolo.nombre in self.simbolos : print('Error2: variable ', simbolo.nombre, ' no definida.') else : self.simbolos[simbolo.nombre] = simbolo def mostrar(self,var): print(str(var)) for x in self.simbolos: print(x) def destruir(self,simbolo): print("########################### simbolos>",str(simbolo.id)) if not simbolo.id in self.simbolos : print('Error3: variable ', simbolo.id, ' no definida.') else : self.simbolos[simbolo.id] = simbolo del self.simbolos[simbolo.id] print("si lo elimina") def destruirColumna(self,nombre,BD,tabla): clave = str(nombre)+str(BD)+str(tabla) print(clave) for simb in self.simbolos: print (simb) if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla and self.simbolos[simb].tipo != None: del self.simbolos[simb] return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def obtenerColumnas(self,tabla,BD): #print("EMPIEZO A BORRAR LA TABLA: ",tabla) print("DE MOMENTO IMPRIMIRÉ ACÁ ABAJO CUALES SON LAS COLUMNAS QUE PERTENECEN A LA TABLA") listaColumnas = [] for simb in self.simbolos: if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == BD and self.simbolos[simb].tipo != None: listaColumnas.append(self.simbolos[simb].nombre) #print(self.simbolos[simb].nombre) return listaColumnas def destruirTabla(self,nombre,BD): for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD: del self.simbolos[simb] return '''claveTabla = str(tabla)+str(BD) for simb in self.simbolos: if simb == claveTabla: del self.simbolos[simb] print("SE ACABARON LAS COLUMNAS DE LA TABLA: ",tabla) return 0 ''' def destruirConstraint(self,nombre,BD,tabla): print("aca estoy meeeeen!") print(nombre) print(BD) print(tabla) for simb in self.simbolos: print("xdddx") if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == BD: print("encontre una entrada posible") print(self.simbolos[simb].idConstraintFK) print(self.simbolos[simb].idConstraintPK) if self.simbolos[simb].idConstraintFK == nombre: print("ENCONTRE EL CONSTRAINTFK, KEMOSION") self.simbolos[simb].idConstraintFK=None self.simbolos[simb].FK = 0 self.simbolos[simb].referenciaTablaFK=None self.simbolos[simb].referenciaCampoFK=None elif self.simbolos[simb].idConstraintPK == nombre: print("ENCONTRE EL CONSTRAINTPK, KEMOSION") self.simbolos[simb].idConstraintPK=None self.simbolos[simb].pk = 0 #------------------------------------------------------------------- '''print("########################### simbolos>",str(simbolo.id)) if not simbolo.id in self.simbolos : print('Error3: variable ', simbolo.id, ' no definida.') else : self.simbolos[simbolo.id] = simbolo del self.simbolos[simbolo.id] print("si lo elimina")''' #----------------------------------------------------------------------------------------------------------------------- def obtenerDato(self, nombre): print("a este entra") if not nombre in self.simbolos : print('Error1: variable ', nombre, ' no definida.') return("no definida") return self.simbolos[nombre] #----------------------------------------------------------------------------------------------------------------------- #Funciones def agregarSimbolo(self,simbolo): clave = str(simbolo.nombre)+str(simbolo.BD) self.simbolos[clave] = simbolo def agregarVariable(self, simbolo): clave = str(simbolo.nombre)+str(simbolo.BD)+str(simbolo.ambito) self.simbolos[clave] = simbolo def verificarFuncion(self,nombre,BD): clave = str(nombre)+str(BD) if not clave in self.simbolos: return 0 return 1 def eliminarVariablesFuncion(self,BD,ambito): for simb in self.simbolos: if self.simbolos[simb].BD == BD and self.simbolos[simb].ambito == ambito: del self.simbolos[simb] return 1 return 0 def contVariablesFunction(self,BD,ambito): contt=0 for simb in self.simbolos: if self.simbolos[simb].BD == BD and self.simbolos[simb].ambito == ambito: contt+=1 return contt def eliminarFunction(self,nombre,BD): clave = str(nombre)+str(BD) for simb in self.simbolos: if clave == simb: del self.simbolos[simb] return 1 return 0 #----------------------------------------------------------------------------------------------------------------------- def agregarnuevTablaBD(self,simbolo): clave = str(simbolo.nombre)+str(simbolo.BD) self.simbolos[clave] = simbolo def validarTabla(self,nombre,BD): clave = str(nombre)+str(BD) if not clave in self.simbolos: return 0 return 1 def obtenerTablaBD(self, nombre): print("a este entra") if not nombre in self.simbolos : print('Error: La tabla: ', nombre, ' no definida.') return 0 return self.simbolos[nombre] #----------------------------------------------------------------------------------------------------------------------- #Inicia creacion de tabla def agregarnuevaColumna(self,simbolo): clave = str(simbolo.nombre) + str(simbolo.BD) + str(simbolo.tabla) self.simbolos[clave] = simbolo def verificarcolumnaBD(self,nombre,BD,tabla): clave = str(nombre) + str(BD) + str(tabla) if not clave in self.simbolos : print('Error: La columna: ', nombre, ' no definida.') return 0 return 1 def verificarcolumnaBDAT(self,nombre,BD,tabla): clave = str(nombre) + str(BD) + str(tabla) if not clave in self.simbolos : print('Error: La tabla: ', nombre, ' no definida.') return 0 return self.simbolos[clave] def actualizauniqueColumna(self,nombre,BD,tabla): clave = str(nombre) + str(BD) + str(tabla) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].unique = 1 print("se actualizao restriccion unique en columna") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def actualizauniqueColumnaAT(self,nombre,BD,tabla,idConstraint): clave = str(nombre) + str(BD) + str(tabla) print(clave) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].unique = 1 self.simbolos[simb].idConstraintFK = idConstraint print("**********************************") print(self.simbolos[simb].idConstraintFK) print("**********************************") print("se actualizao restriccion unique en columna") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def actualizarcheckColumna(self,nombre,BD,tabla,idchk,condchk): clave = str(nombre) + str(BD) + str(tabla) print(clave) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].check = 1 self.simbolos[simb].condCheck = condchk self.simbolos[simb].idCheck = idchk print("se actualizo restricion check en columna") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def actualizapkcolumna(self,nombre,BD,tabla): clave = str(nombre) + str(BD) + str(tabla) print(clave) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].pk = 1 print("se actualizo restricion llave primaria en columna") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def actualizapkcolumnaAT(self,nombre,BD,tabla,idConstraint): clave = str(nombre) + str(BD) + str(tabla) print(clave) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].pk = 1 self.simbolos[simb].unique = 1 self.simbolos[simb].obligatorio = 0 self.simbolos[simb].idConstraintPK = idConstraint print("se actualizo restricion llave primaria en columna") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def actualizafkcolumna(self,nombre,BD,tabla,idrefcolumna,idreftabla): clave = str(nombre) + str(BD) + str(tabla) print(clave) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].FK = 1 self.simbolos[simb].referenciaCampoFK = idrefcolumna self.simbolos[simb].referenciaTablaFK = idreftabla print("se actualizo columna como llave foranea") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def actualizafkcolumnaAT(self,nombre,BD,tabla,idrefcolumna,idreftabla,idConstraint): clave = str(nombre) + str(BD) + str(tabla) print(clave) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: self.simbolos[simb].FK = 1 self.simbolos[simb].referenciaCampoFK = idrefcolumna self.simbolos[simb].referenciaTablaFK = idreftabla self.simbolos[simb].idConstraintFK = idConstraint print("se actualizo columna como llave foranea") return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def numerodeColumnas(self,BD,tabla): cont = 0 for simb in self.simbolos: if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == BD and self.simbolos[simb].tipo != None: cont=cont+1 return cont def numerodeDatosenColumna(self,nombre,BD,tabla): clave = str(nombre)+str(BD)+str(tabla) if self.simbolos[clave].valor == None: return 0 return len(self.simbolos[clave].valor) def numerodeDatosenprimeraColumna(self,tabla,BD): for simb in self.simbolos: if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == BD and self.simbolos[simb].id == 0 and self.simbolos[simb].tipo != None: if self.simbolos[simb].valor == None: return 0 return len(self.simbolos[simb].valor) return 0 def actualizandoDefaultColumna(self,nombre,BD,tabla): clave = str(nombre)+str(BD)+str(tabla) if self.simbolos[clave].valor == None: if self.simbolos[clave].default != None: self.simbolos[clave].valor = [self.simbolos[clave].default] else: self.simbolos[clave].valor = ["NULL"] else: if self.simbolos[clave].default != None: self.simbolos[clave].valor.append(self.simbolos[clave].defualt) else: self.simbolos[clave].valor.append("NULL") #----------------------------------------------------------------------------------------------------------------------- #Inicia Insert en Tabla #se llama cuando en el insert solo colocan los registros a ingresar a la columna def obtenersinNombreColumna(self,nombre,BD,id): for simb in self.simbolos: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].id == id and self.simbolos[simb].tipo != None: return self.simbolos[simb] return 0 #se llama cuando en insert se especifica el id de la columna def obtenerconNombreColumna(self,nombre,BD,tabla): clave = str(nombre) + str(BD) + str(tabla) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla and self.simbolos[simb].tipo != None: return self.simbolos[simb] return 0 #se utiliza para actualizar los datos en la tabla de simbolos def actualizarValorColumna(self,nombre,BD,tabla,dato): clave = str(nombre) + str(BD) + str(tabla) for simb in self.simbolos: if simb == clave: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla and self.simbolos[simb].tipo != None: if self.simbolos[simb].valor == None: self.simbolos[simb].valor = [dato] else: self.simbolos[simb].valor.append(dato) print("se agrego un dato a la columna: ",nombre," en tabla: ",tabla) return #print(self.simbolos[simb].id," ",self.simbolos[simb].nombre," ",self.simbolos[simb].BD," ",self.simbolos[simb].tabla) print("la columna no existe") return 0 def columnasPrimaria(self,BD,tabla): listpk = [] for simb in self.simbolos: if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == BD and self.simbolos[simb].pk == 1 and self.simbolos[simb].tipo != None: listpk.append(self.simbolos[simb].id) return listpk #--------------Delete de registro def eliminarRegistroTabla(self,BD,tabla,posvalor): for simb in self.simbolos: if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == BD and self.simbolos[simb].tipo != None: self.simbolos[simb].valor.pop(posvalor) return 0 #--------------- Update de Registro def UpdateRegistro(self,nombre,BD,tabla,dato,pos): clave = str(nombre) + str(BD) + str(tabla) if not clave in self.simbolos : print('Error: La tabla: ', nombre, ' no definida.') return 0 self.simbolos[clave].valor[pos] = dato return 1 def printcontsimbolos(self): tm = 0 for simb in self.simbolos: print("----------Columna ",tm,"----------") print(self.simbolos[simb].id) print(self.simbolos[simb].nombre) print(self.simbolos[simb].tipo) print(self.simbolos[simb].tamanoCadena) print(self.simbolos[simb].BD) print(self.simbolos[simb].tabla) print(self.simbolos[simb].obligatorio) print(self.simbolos[simb].pk) print(self.simbolos[simb].FK) print(self.simbolos[simb].referenciaTablaFK) print(self.simbolos[simb].referenciaCampoFK) print(self.simbolos[simb].unique) print(self.simbolos[simb].idUnique) print(self.simbolos[simb].check) print(self.simbolos[simb].condicionCheck) print(self.simbolos[simb].idCheck) print(self.simbolos[simb].valor) print(self.simbolos[simb].default) print(self.simbolos[simb].idConstraintFK) print(self.simbolos[simb].idConstraintPK) tm=tm+1 return 0 # --------------------CREAR, ALTER USE Y DROP BD--------------------------------------------------------------------- def agregarCrearBD(self, simbolo) : self.simbolos[simbolo.nombre] = simbolo def verificacionCrearBD(self, nombre) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: print('Error1: base de datos ', nombre, ' ya definida.') return 1 return 0 def verificacionUseBD(self, nombre) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: print('BD ', nombre, ' existente.') return 1 return 0 def verificacionAlterBD(self, nombre) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: return 1 return 0 def verificacionAlterBD_2(self, nombre) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: return 1 return 0 def actualizarAlterBD(self, old, alter) : for simb in self.simbolos: if self.simbolos[simb].nombre == old and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: print("SIMB",self.simbolos[simb]) self.simbolos[alter] = self.simbolos.pop(simb) self.simbolos[alter].nombre = alter return 2 return 1 def destruirBD(self,nombre): for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: print('Se elimino ', nombre) self.simbolos.pop(simb) return 1 return 0 def verificacionShowBD(self) : bd = [] for simb in self.simbolos: print("entro a for") if self.simbolos[simb].nombre != None and self.simbolos[simb].BD == None and self.simbolos[simb].tabla == None: bd.append(self.simbolos[simb].nombre) return bd #obtiene los datos cuando se manda una tabla y todas las columnas def obtenerSelect1A(self, tabla, bd) : print("a este entra metodo") print("la bd: ",bd) if tabla=="" or bd=="": return 0 a="" columnas=[] datos={} for simb in self.simbolos: print(simb) if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == bd: print("res: ",self.simbolos[simb].valor) print( simb," = ",self.simbolos[simb].valor) a+=str(simb)+" = "+str(self.simbolos[simb].valor)+"\n" datos[simb]=self.simbolos[simb].valor #columnas.append(simb) if a=="": print("A va vacio") return "0" else: print("vera si genera el dataframe") df=pd.DataFrame(datos) print(df) print("si termino") print("A es: ",a) return df #obtiene un dato cuando se mandan varias columnas de 1 tabla def obtenerSelect2B(self, tabla, bd, campos) : print("a este entra metodo") print("la bd: ",bd) print("la tabla: ",tabla) print("campos: ",campos) if tabla=="" or bd=="" or len(campos)==0: return 0 a="" columnas=[] datos={} for x in range(0,len(campos)): for simb in self.simbolos: print(simb) key=str(self.simbolos[simb].nombre)+str(self.simbolos[simb].BD)+str(self.simbolos[simb].tabla) print("el nombre sera ====",key) if self.simbolos[simb].tabla == tabla and self.simbolos[simb].BD == bd and (self.simbolos[simb].nombre+self.simbolos[simb].BD+self.simbolos[simb].tabla)==campos[x]: print("res: ",self.simbolos[simb].valor) print( simb," = ",self.simbolos[simb].valor) a+=str(simb)+" = "+str(self.simbolos[simb].valor)+"\n" datos[simb]=self.simbolos[simb].valor #columnas.append(simb) if a=="": print("A va vacio") return "0" else: print("vera si genera el dataframe") df=pd.DataFrame(datos) print(df) print("si termino") print("A es: ",a) return df def obtenerSelect2E(self, identificador): if len(identificador)==0: return "no se encontro la variable" a="" for x in range(0,len(identificador)): for simb in self.simbolos: if self.simbolos[simb].nombre == identificador[x]: a+= str(self.simbolos[simb].nombre)+" = "+ str(self.simbolos[simb].valor)+"\n" if a=="": print("A va vacio") return "0" else: return a #obtiene un dato cuando se mandan varias columnas de 1 tabla def obtenerSelect4(self, tabla, bd, campos) : print("a este entra metodo----------------------") print("la bd: ",bd) print("la tabla: ",tabla) print("campos: ",campos) if tabla=="" or bd=="" or len(campos)==0: return 0 a="" columnas=[] datos={} for x in range(0,len(tabla)): for y in range(0,len(campos)): for simb in self.simbolos: print(simb) key=str(self.simbolos[simb].nombre)+str(self.simbolos[simb].BD)+str(self.simbolos[simb].tabla) print("el nombre sera ====",key) if self.simbolos[simb].tabla == tabla[x] and self.simbolos[simb].BD == bd and (self.simbolos[simb].nombre+self.simbolos[simb].BD+self.simbolos[simb].tabla)==campos[y]: print("res: ",self.simbolos[simb].valor) print( simb," = ",self.simbolos[simb].valor) a+=str(simb)+" = "+str(self.simbolos[simb].valor)+"\n" datos[simb]=self.simbolos[simb].valor #columnas.append(simb) if a=="": print("A va vacio") return "0" else: print("vera si genera el dataframe") df=pd.DataFrame(datos) print(df) print("si termino") print("A es: ",a) return df #obtiene un dato cuando se mandan varias tablas y todos los datos def obtenerSelect5Todo(self, tabla, bd) : print("a este entra metodo----------------------") print("la bd: ",bd) print("la tabla: ",tabla) if bd=="" or len(tabla)==0: return 0 a="" columnas=[] datos={} for x in range(0,len(tabla)): for simb in self.simbolos: print(simb) key=str(self.simbolos[simb].nombre)+str(self.simbolos[simb].BD)+str(self.simbolos[simb].tabla) print("el nombre sera ====",key) if self.simbolos[simb].tabla == tabla[x] and self.simbolos[simb].BD == bd: print("res: ",self.simbolos[simb].valor) print( simb," = ",self.simbolos[simb].valor) a+=str(simb)+" = "+str(self.simbolos[simb].valor)+"\n" datos[simb]=self.simbolos[simb].valor #columnas.append(simb) if a=="": print("A va vacio") return "0" else: print("vera si genera el dataframe") df=pd.DataFrame(datos) print(df) print("si termino") print("A es: ",a) return df def agregarnuevoIndex(self,simbolo): clave = str(simbolo.nombre) + str(simbolo.BD) + str(simbolo.tabla) self.simbolos[clave] = simbolo # --------------------------------------------ALTER INDEX COLUMN ---------------------------------------------------------- def verificacionAlterColumnIndex(self, nombre, BD,column) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD: print(self.simbolos[simb].tabla) return self.simbolos[simb].tabla return 0 def obtenerTablasIndex(self,nombre,BD,column): for simb in self.simbolos: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].id == column: print(self.simbolos[simb].nombre) return self.simbolos[simb].nombre return 0 def verificacionColumnaIndex(self,nombre,BD,tabla,old_column,new_column): clave = str(nombre) + str(BD) + str(tabla) print("CLAVE: ",clave) if clave in self.simbolos : for simb in self.simbolos: if self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: print("VALOR:",self.simbolos[simb].valor) if self.simbolos[simb].valor != None: print("VALOR CON VALOR:",self.simbolos[simb].valor) y = self.simbolos[simb].valor y = [new_column if x==old_column else x for x in y] print("NUEVA TABLA: ",y) tipo = self.simbolos[simb].tipoIndex sort = self.simbolos[simb].sortIndex tabla = self.simbolos[simb].tabla valores = y BDatos = BD simbolo = Simbolo(None,nombre,None,None,BDatos,tabla,None,None,None,None,None,None,None,None,None,None,valores,None,None,None,tipo,sort,None,None) print(simbolo) self.simbolos[clave] = simbolo return 0 else: return 1 def obtenerIndex(self,nombre,BD,old_column): for simb in self.simbolos: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].id == old_column: print(self.simbolos[simb].nombre) return self.simbolos[simb].nombre return 0 def verificacionAlterStringColumIndex(self, nombre, BD,idcolumn) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD: print(self.simbolos[simb].tabla) return self.simbolos[simb].tabla return 0 def obtenerTablasStringIndex(self,nombre,BD,idcolumn): for simb in self.simbolos: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].nombre == idcolumn: print(self.simbolos[simb].nombre) return self.simbolos[simb].nombre return 0 def actualizarAlterColumnIndex(self, nombre, nombreColumna, BD) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD: print("SIMB",self.simbolos[simb]) clave = nombre + BD + self.simbolos[simb].tabla tipo = self.simbolos[simb].tipoIndex sort = self.simbolos[simb].sortIndex tabla = self.simbolos[simb].tabla valores = [nombreColumna] BDatos = BD simbolo = Simbolo(None,nombre,None,None,BDatos,tabla,None,None,None,None,None,None,None,None,None,None,valores,None,None,None,tipo,sort,None,None) print(simbolo) self.simbolos[clave] = simbolo #del self.simbolos[simb] return 2 return 1 # --------------------------------------------ALTER INDEX COLUMN ---------------------------------------------------------- def verificarIndex(self,nombre,BD,tabla): clave = str(nombre) + str(BD) + str(tabla) if not clave in self.simbolos : for simb in self.simbolos: if self.simbolos[simb].BD == BD and self.simbolos[simb].tabla == tabla: return 0 else: return 1 def verificarTablaIndex(self, nombre, BD, idcolumn): for simb in self.simbolos: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD: print("TABLA:",self.simbolos[simb].tabla) return self.simbolos[simb].tabla return 0 def obtenerColumnaIndex(self,nombre,BD,idcolumn): print("COLL:",idcolumn) y = [] for simb in self.simbolos: for col in idcolumn: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].nombre == col: y.append(self.simbolos[simb].nombre) print("Y:",len(y)) print("ID:",len(idcolumn)) if len(y) != len(idcolumn): print("NO ES COLUMNA") return 1 else: print("SI ES COLUMNA") return 0 def obtenerColumnaUnicaIndex(self,nombre,BD,idcolumn): for simb in self.simbolos: if self.simbolos[simb].tabla == nombre and self.simbolos[simb].BD == BD and self.simbolos[simb].nombre == idcolumn: print(self.simbolos[simb].nombre) return 0 return 1 def verificacionAlterIndex(self, nombre, BD) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD: return 1 return 0 def deleteAlterIndex(self, nombre, BD) : for simb in self.simbolos: if self.simbolos[simb].nombre == nombre and self.simbolos[simb].BD == BD: print("SIMB",self.simbolos[simb]) del self.simbolos[simb] return 2 return 1 def actualizarAlterIndex(self, old, alter, BD) : for simb in self.simbolos: if self.simbolos[simb].nombre == old and self.simbolos[simb].BD == BD: print("SIMB",self.simbolos[simb]) clave = alter + BD + self.simbolos[simb].tabla tipo = self.simbolos[simb].tipoIndex sort = self.simbolos[simb].sortIndex tabla = self.simbolos[simb].tabla valores = self.simbolos[simb].valor BDatos = BD simbolo = Simbolo(None,alter,None,None,BDatos,tabla,None,None,None,None,None,None,None,None,None,None,valores,None,None,None,tipo,sort,None,None) print(simbolo) self.simbolos[clave] = simbolo del self.simbolos[simb] return 2 return 1

43.061743

257

0.540836

c4385c2300996a48f028585f17f796c2fa926374

612

py

Python

complaints/migrations/0008_auto_20180330_0512.py

shashank-sharma/smart-odisha-hackathon

e73b9d8ec8671aaaa72d3c14241bbecde56fe10f

[ "MIT" ]

1

2018-06-18T15:23:07.000Z

complaints/migrations/0008_auto_20180330_0512.py

shashank-sharma/smart-odisha-hackathon

e73b9d8ec8671aaaa72d3c14241bbecde56fe10f

[ "MIT" ]

null

complaints/migrations/0008_auto_20180330_0512.py

shashank-sharma/smart-odisha-hackathon

e73b9d8ec8671aaaa72d3c14241bbecde56fe10f

[ "MIT" ]

1

2020-01-31T13:21:38.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-03-30 05:12 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('complaints', '0007_auto_20180330_0510'), ] operations = [ migrations.AlterField( model_name='complaints', name='complaint_taken_by', field=models.OneToOneField(default=False, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), ]

26.608696

128

0.684641

1ad0618118e9ee6a1348a01f2b02fe1f6dd2e12a

3,466

py

Python

repos/system_upgrade/el7toel8/actors/dnfshellrpmupgrade/actor.py

Jakuje/leapp-repository

580540f68bd4f89152c28935f775f660c2db0839

[ "Apache-2.0" ]

null

repos/system_upgrade/el7toel8/actors/dnfshellrpmupgrade/actor.py

Jakuje/leapp-repository

580540f68bd4f89152c28935f775f660c2db0839

[ "Apache-2.0" ]

1

2020-06-15T18:32:21.000Z

repos/system_upgrade/el7toel8/actors/dnfshellrpmupgrade/actor.py

kubco2/leapp-repository

ad98ad91d06d0adfe945566a414c95df862c4172

[ "Apache-2.0" ]

null

import json import os import shutil import sys from tempfile import NamedTemporaryFile from leapp.actors import Actor from leapp.libraries.stdlib import run from leapp.libraries.stdlib.call import STDOUT from leapp.libraries.stdlib.config import is_debug from leapp.models import FilteredRpmTransactionTasks, UsedTargetRepositories, TransactionCompleted from leapp.tags import RPMUpgradePhaseTag, IPUWorkflowTag def _logging_handler(fd_info, buffer): '''Custom log handler to always show DNF stdout to console and stderr only in DEBUG mode''' (_unused, fd_type) = fd_info if fd_type == STDOUT: sys.stdout.write(buffer) else: if is_debug(): sys.stderr.write(buffer) class DnfShellRpmUpgrade(Actor): """ Setup and call DNF upgrade command Based on previously calculated RPM transaction data, this actor will setup and call rhel-upgrade DNF plugin with necessary parameters """ name = 'dnf_shell_rpm_upgrade' consumes = (FilteredRpmTransactionTasks, UsedTargetRepositories) produces = (TransactionCompleted,) tags = (RPMUpgradePhaseTag, IPUWorkflowTag) def process(self): # FIXME: we hitting issue now because the network is down and rhsm # # is trying to connect to the server. Commenting this out for now # # so people will not be affected in case they do not have set a # # release and we will have time to fix it properly. # Make sure Subscription Manager OS Release is unset # cmd = ['subscription-manager', 'release', '--unset'] # run(cmd) shutil.copyfile( self.get_file_path('rhel_upgrade.py'), '/lib/python2.7/site-packages/dnf-plugins/rhel_upgrade.py') dnf_command = ['/usr/bin/dnf', 'rhel-upgrade', 'upgrade'] target_repoids = [] for target_repos in self.consume(UsedTargetRepositories): for repo in target_repos.repos: target_repoids.append(repo.repoid) debugsolver = True if os.environ.get('LEAPP_DEBUG', '0') == '1' else False shutil.copyfile( '/etc/yum.repos.d/redhat.repo.upgrade', '/etc/yum.repos.d/redhat.repo' ) # FIXME: that's ugly hack, we should get info which file remove and # + do it more nicely.. cmd = ['rm', '-f', '/etc/pki/product/69.pem'] run(cmd) data = next(self.consume(FilteredRpmTransactionTasks), FilteredRpmTransactionTasks()) plugin_data = { 'pkgs_info': { 'local_rpms': [pkg for pkg in data.local_rpms], 'to_install': [pkg for pkg in data.to_install], 'to_remove': [pkg for pkg in data.to_remove] }, 'dnf_conf': { 'allow_erasing': True, 'best': True, 'debugsolver': debugsolver, 'disable_repos': True, 'enable_repos': target_repoids, 'gpgcheck': False, 'platform_id': 'platform:el8', 'releasever': '8', 'test_flag': False, } } with NamedTemporaryFile() as data: json.dump(plugin_data, data) data.flush() run(dnf_command + [data.name], callback_raw=_logging_handler) self.produce(TransactionCompleted())

35.010101

110

0.608771

ae79aeceba95f40d5f9fcc2e4d5369b09e8012c1

1,880

py

Python

imagepy/menus/Kit3D/Viewer 3D/demo_plgs.py

pengguanjun/imagepy

d96ef98c2c3e93d368131fd2753bce164e1247cd

[ "BSD-4-Clause" ]

1

2020-08-17T04:18:35.000Z

imagepy/menus/Kit3D/Viewer 3D/demo_plgs.py

cycleuser/imagepy

5dc1a9a8137280c5215287392ba1b23d368bd7e9

[ "BSD-4-Clause" ]

null

imagepy/menus/Kit3D/Viewer 3D/demo_plgs.py

cycleuser/imagepy

5dc1a9a8137280c5215287392ba1b23d368bd7e9

[ "BSD-4-Clause" ]

null

from imagepy.core.engine import Free from sciapp.object import Surface, MarkText from sciapp.util import surfutil import numpy as np class Decoration(Free): title = 'Decoration Demo' def run(self, para=None): dphi, dtheta = np.pi/20.0, np.pi/20.0 [phi,theta] = np.mgrid[0:np.pi+dphi*1.5:dphi,0:2*np.pi+dtheta*1.5:dtheta] m0 = 4; m1 = 3; m2 = 2; m3 = 3; m4 = 6; m5 = 2; m6 = 6; m7 = 4; r = np.sin(m0*phi)**m1 + np.cos(m2*phi)**m3 + np.sin(m4*theta)**m5 + np.cos(m6*theta)**m7 x = r*np.sin(phi)*np.cos(theta) y = r*np.cos(phi) z = r*np.sin(phi)*np.sin(theta) vts, fs, ns, cs = surfutil.build_mesh(x, y, z) cs[:] = surfutil.auto_lookup(vts[:,2], surfutil.linear_color('jet'))/255 self.app.show_mesh(Surface(vts, fs, ns, cs), 'decoration') class Lines(Free): title = 'Lines Demo' def run(self, para=None): vts = np.array([(0,0,0),(1,1,0),(2,1,0),(1,0,0)], dtype=np.float32) fs = np.array([(0,1,2),(1,2,3)], dtype=np.uint32) ns = np.ones((4,3), dtype=np.float32) n_mer, n_long = 6, 11 pi = np.pi dphi = pi / 1000.0 phi = np.arange(0.0, 2 * pi + 0.5 * dphi, dphi) mu = phi * n_mer x = np.cos(mu) * (1 + np.cos(n_long * mu / n_mer) * 0.5) y = np.sin(mu) * (1 + np.cos(n_long * mu / n_mer) * 0.5) z = np.sin(n_long * mu / n_mer) * 0.5 vts, fs, ns, cs = surfutil.build_line(x, y, z, (1, 0, 0)) cs[:] = surfutil.auto_lookup(vts[:,2], surfutil.linear_color('jet'))/255 self.app.show_mesh(Surface(vts, fs, ns, cs, mode='grid'), 'line') class Balls(Free): title = 'Random Balls Demo' def run(self, para=None): os = np.random.rand(30).reshape((-1,3)) rs = np.random.rand(10)/5 cs = (np.random.rand(10)*255).astype(np.uint8) cs = surfutil.linear_color('jet')[cs]/255 vts, fs, ns, cs = surfutil.build_balls(os, rs, cs) self.app.show_mesh(Surface(vts, fs, ns, cs), 'balls') plgs = [Lines, Balls, Decoration]

34.814815

93

0.611702

122589d66b8200e6e43afd2895cbaee889046018

20,706

py

Python

openstack/tests/unit/object_store/v1/test_proxy.py

jlyheden/openstacksdk

7e0dcaaa4a69b17b97e746ce8de104689c60becc

[ "Apache-2.0" ]

null

openstack/tests/unit/object_store/v1/test_proxy.py

jlyheden/openstacksdk

7e0dcaaa4a69b17b97e746ce8de104689c60becc

[ "Apache-2.0" ]

null

openstack/tests/unit/object_store/v1/test_proxy.py

jlyheden/openstacksdk

7e0dcaaa4a69b17b97e746ce8de104689c60becc

[ "Apache-2.0" ]

null

# 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 testscenarios import load_tests_apply_scenarios as load_tests # noqa from hashlib import sha1 import mock import random import string import tempfile import time from openstack.object_store.v1 import account from openstack.object_store.v1 import container from openstack.object_store.v1 import obj from openstack.tests.unit.cloud import test_object as base_test_object from openstack.tests.unit import test_proxy_base class TestObjectStoreProxy(test_proxy_base.TestProxyBase): kwargs_to_path_args = False def setUp(self): super(TestObjectStoreProxy, self).setUp() self.proxy = self.cloud.object_store self.container = self.getUniqueString() self.endpoint = self.cloud.object_store.get_endpoint() + '/' self.container_endpoint = '{endpoint}{container}'.format( endpoint=self.endpoint, container=self.container) def test_account_metadata_get(self): self.verify_head(self.proxy.get_account_metadata, account.Account) def test_container_metadata_get(self): self.verify_head(self.proxy.get_container_metadata, container.Container, value="container") def test_container_delete(self): self.verify_delete(self.proxy.delete_container, container.Container, False) def test_container_delete_ignore(self): self.verify_delete(self.proxy.delete_container, container.Container, True) def test_container_create_attrs(self): self.verify_create( self.proxy.create_container, container.Container, method_args=['container_name'], expected_kwargs={'name': 'container_name', "x": 1, "y": 2, "z": 3}) def test_object_metadata_get(self): self._verify2("openstack.proxy.Proxy._head", self.proxy.get_object_metadata, method_args=['object'], method_kwargs={'container': 'container'}, expected_args=[obj.Object, 'object'], expected_kwargs={'container': 'container'}) def _test_object_delete(self, ignore): expected_kwargs = { "ignore_missing": ignore, "container": "name", } self._verify2("openstack.proxy.Proxy._delete", self.proxy.delete_object, method_args=["resource"], method_kwargs=expected_kwargs, expected_args=[obj.Object, "resource"], expected_kwargs=expected_kwargs) def test_object_delete(self): self._test_object_delete(False) def test_object_delete_ignore(self): self._test_object_delete(True) def test_object_create_attrs(self): kwargs = {"name": "test", "data": "data", "container": "name"} self._verify2("openstack.proxy.Proxy._create", self.proxy.upload_object, method_kwargs=kwargs, expected_args=[obj.Object], expected_kwargs=kwargs) def test_object_create_no_container(self): self.assertRaises(TypeError, self.proxy.upload_object) def test_object_get(self): kwargs = dict(container="container") self.verify_get( self.proxy.get_object, obj.Object, value=["object"], method_kwargs=kwargs, expected_kwargs=kwargs) def test_set_temp_url_key(self): key = 'super-secure-key' self.register_uris([ dict(method='POST', uri=self.endpoint, status_code=204, validate=dict( headers={ 'x-account-meta-temp-url-key': key})), dict(method='HEAD', uri=self.endpoint, headers={ 'x-account-meta-temp-url-key': key}), ]) self.proxy.set_account_temp_url_key(key) self.assert_calls() def test_set_account_temp_url_key_second(self): key = 'super-secure-key' self.register_uris([ dict(method='POST', uri=self.endpoint, status_code=204, validate=dict( headers={ 'x-account-meta-temp-url-key-2': key})), dict(method='HEAD', uri=self.endpoint, headers={ 'x-account-meta-temp-url-key-2': key}), ]) self.proxy.set_account_temp_url_key(key, secondary=True) self.assert_calls() def test_set_container_temp_url_key(self): key = 'super-secure-key' self.register_uris([ dict(method='POST', uri=self.container_endpoint, status_code=204, validate=dict( headers={ 'x-container-meta-temp-url-key': key})), dict(method='HEAD', uri=self.container_endpoint, headers={ 'x-container-meta-temp-url-key': key}), ]) self.proxy.set_container_temp_url_key(self.container, key) self.assert_calls() def test_set_container_temp_url_key_second(self): key = 'super-secure-key' self.register_uris([ dict(method='POST', uri=self.container_endpoint, status_code=204, validate=dict( headers={ 'x-container-meta-temp-url-key-2': key})), dict(method='HEAD', uri=self.container_endpoint, headers={ 'x-container-meta-temp-url-key-2': key}), ]) self.proxy.set_container_temp_url_key( self.container, key, secondary=True) self.assert_calls() def test_copy_object(self): self.assertRaises(NotImplementedError, self.proxy.copy_object) def test_file_segment(self): file_size = 4200 content = ''.join(random.SystemRandom().choice( string.ascii_uppercase + string.digits) for _ in range(file_size)).encode('latin-1') self.imagefile = tempfile.NamedTemporaryFile(delete=False) self.imagefile.write(content) self.imagefile.close() segments = self.proxy._get_file_segments( endpoint='test_container/test_image', filename=self.imagefile.name, file_size=file_size, segment_size=1000) self.assertEqual(len(segments), 5) segment_content = b'' for (index, (name, segment)) in enumerate(segments.items()): self.assertEqual( 'test_container/test_image/{index:0>6}'.format(index=index), name) segment_content += segment.read() self.assertEqual(content, segment_content) class TestDownloadObject(base_test_object.BaseTestObject): def setUp(self): super(TestDownloadObject, self).setUp() self.the_data = b'test body' self.register_uris([ dict(method='GET', uri=self.object_endpoint, headers={ 'Content-Length': str(len(self.the_data)), 'Content-Type': 'application/octet-stream', 'Accept-Ranges': 'bytes', 'Last-Modified': 'Thu, 15 Dec 2016 13:34:14 GMT', 'Etag': '"b5c454b44fbd5344793e3fb7e3850768"', 'X-Timestamp': '1481808853.65009', 'X-Trans-Id': 'tx68c2a2278f0c469bb6de1-005857ed80dfw1', 'Date': 'Mon, 19 Dec 2016 14:24:00 GMT', 'X-Static-Large-Object': 'True', 'X-Object-Meta-Mtime': '1481513709.168512', }, content=self.the_data)]) def test_download(self): data = self.cloud.object_store.download_object( self.object, container=self.container) self.assertEqual(data, self.the_data) self.assert_calls() def test_stream(self): chunk_size = 2 for index, chunk in enumerate(self.cloud.object_store.stream_object( self.object, container=self.container, chunk_size=chunk_size)): chunk_len = len(chunk) start = index * chunk_size end = start + chunk_len self.assertLessEqual(chunk_len, chunk_size) self.assertEqual(chunk, self.the_data[start:end]) self.assert_calls() class TestExtractName(TestObjectStoreProxy): scenarios = [ ('discovery', dict(url='/', parts=['account'])), ('endpoints', dict(url='/endpoints', parts=['endpoints'])), ('container', dict(url='/AUTH_123/container_name', parts=['container'])), ('object', dict(url='/container_name/object_name', parts=['object'])), ('object_long', dict(url='/v1/AUTH_123/cnt/path/deep/object_name', parts=['object'])) ] def test_extract_name(self): results = self.proxy._extract_name(self.url, project_id='123') self.assertEqual(self.parts, results) class TestTempURL(TestObjectStoreProxy): expires_iso8601_format = '%Y-%m-%dT%H:%M:%SZ' short_expires_iso8601_format = '%Y-%m-%d' time_errmsg = ('time must either be a whole number or in specific ' 'ISO 8601 format.') path_errmsg = 'path must be full path to an object e.g. /v1/a/c/o' url = '/v1/AUTH_account/c/o' seconds = 3600 key = 'correcthorsebatterystaple' method = 'GET' expected_url = url + ('?temp_url_sig=temp_url_signature' '&temp_url_expires=1400003600') expected_body = '\n'.join([ method, '1400003600', url, ]).encode('utf-8') @mock.patch('hmac.HMAC') @mock.patch('time.time', return_value=1400000000) def test_generate_temp_url(self, time_mock, hmac_mock): hmac_mock().hexdigest.return_value = 'temp_url_signature' url = self.proxy.generate_temp_url( self.url, self.seconds, self.method, temp_url_key=self.key) key = self.key if not isinstance(key, bytes): key = key.encode('utf-8') self.assertEqual(url, self.expected_url) self.assertEqual(hmac_mock.mock_calls, [ mock.call(), mock.call(key, self.expected_body, sha1), mock.call().hexdigest(), ]) self.assertIsInstance(url, type(self.url)) @mock.patch('hmac.HMAC') @mock.patch('time.time', return_value=1400000000) def test_generate_temp_url_ip_range(self, time_mock, hmac_mock): hmac_mock().hexdigest.return_value = 'temp_url_signature' ip_ranges = [ '1.2.3.4', '1.2.3.4/24', '2001:db8::', b'1.2.3.4', b'1.2.3.4/24', b'2001:db8::', ] path = '/v1/AUTH_account/c/o/' expected_url = path + ('?temp_url_sig=temp_url_signature' '&temp_url_expires=1400003600' '&temp_url_ip_range=') for ip_range in ip_ranges: hmac_mock.reset_mock() url = self.proxy.generate_temp_url( path, self.seconds, self.method, temp_url_key=self.key, ip_range=ip_range) key = self.key if not isinstance(key, bytes): key = key.encode('utf-8') if isinstance(ip_range, bytes): ip_range_expected_url = ( expected_url + ip_range.decode('utf-8') ) expected_body = '\n'.join([ 'ip=' + ip_range.decode('utf-8'), self.method, '1400003600', path, ]).encode('utf-8') else: ip_range_expected_url = expected_url + ip_range expected_body = '\n'.join([ 'ip=' + ip_range, self.method, '1400003600', path, ]).encode('utf-8') self.assertEqual(url, ip_range_expected_url) self.assertEqual(hmac_mock.mock_calls, [ mock.call(key, expected_body, sha1), mock.call().hexdigest(), ]) self.assertIsInstance(url, type(path)) @mock.patch('hmac.HMAC') def test_generate_temp_url_iso8601_argument(self, hmac_mock): hmac_mock().hexdigest.return_value = 'temp_url_signature' url = self.proxy.generate_temp_url( self.url, '2014-05-13T17:53:20Z', self.method, temp_url_key=self.key) self.assertEqual(url, self.expected_url) # Don't care about absolute arg. url = self.proxy.generate_temp_url(self.url, '2014-05-13T17:53:20Z', self.method, temp_url_key=self.key, absolute=True) self.assertEqual(url, self.expected_url) lt = time.localtime() expires = time.strftime(self.expires_iso8601_format[:-1], lt) if not isinstance(self.expected_url, str): expected_url = self.expected_url.replace( b'1400003600', bytes(str(int(time.mktime(lt))), encoding='ascii')) else: expected_url = self.expected_url.replace( '1400003600', str(int(time.mktime(lt)))) url = self.proxy.generate_temp_url(self.url, expires, self.method, temp_url_key=self.key) self.assertEqual(url, expected_url) expires = time.strftime(self.short_expires_iso8601_format, lt) lt = time.strptime(expires, self.short_expires_iso8601_format) if not isinstance(self.expected_url, str): expected_url = self.expected_url.replace( b'1400003600', bytes(str(int(time.mktime(lt))), encoding='ascii')) else: expected_url = self.expected_url.replace( '1400003600', str(int(time.mktime(lt)))) url = self.proxy.generate_temp_url(self.url, expires, self.method, temp_url_key=self.key) self.assertEqual(url, expected_url) @mock.patch('hmac.HMAC') @mock.patch('time.time', return_value=1400000000) def test_generate_temp_url_iso8601_output(self, time_mock, hmac_mock): hmac_mock().hexdigest.return_value = 'temp_url_signature' url = self.proxy.generate_temp_url(self.url, self.seconds, self.method, temp_url_key=self.key, iso8601=True) key = self.key if not isinstance(key, bytes): key = key.encode('utf-8') expires = time.strftime(self.expires_iso8601_format, time.gmtime(1400003600)) if not isinstance(self.url, str): self.assertTrue(url.endswith(bytes(expires, 'utf-8'))) else: self.assertTrue(url.endswith(expires)) self.assertEqual(hmac_mock.mock_calls, [ mock.call(), mock.call(key, self.expected_body, sha1), mock.call().hexdigest(), ]) self.assertIsInstance(url, type(self.url)) @mock.patch('hmac.HMAC') @mock.patch('time.time', return_value=1400000000) def test_generate_temp_url_prefix(self, time_mock, hmac_mock): hmac_mock().hexdigest.return_value = 'temp_url_signature' prefixes = ['', 'o', 'p0/p1/'] for p in prefixes: hmac_mock.reset_mock() path = '/v1/AUTH_account/c/' + p expected_url = path + ('?temp_url_sig=temp_url_signature' '&temp_url_expires=1400003600' '&temp_url_prefix=' + p) expected_body = '\n'.join([ self.method, '1400003600', 'prefix:' + path, ]).encode('utf-8') url = self.proxy.generate_temp_url( path, self.seconds, self.method, prefix=True, temp_url_key=self.key) key = self.key if not isinstance(key, bytes): key = key.encode('utf-8') self.assertEqual(url, expected_url) self.assertEqual(hmac_mock.mock_calls, [ mock.call(key, expected_body, sha1), mock.call().hexdigest(), ]) self.assertIsInstance(url, type(path)) def test_generate_temp_url_invalid_path(self): self.assertRaisesRegex( ValueError, 'path must be representable as UTF-8', self.proxy.generate_temp_url, b'/v1/a/c/\xff', self.seconds, self.method, temp_url_key=self.key) @mock.patch('hmac.HMAC.hexdigest', return_value="temp_url_signature") def test_generate_absolute_expiry_temp_url(self, hmac_mock): if isinstance(self.expected_url, bytes): expected_url = self.expected_url.replace( b'1400003600', b'2146636800') else: expected_url = self.expected_url.replace( u'1400003600', u'2146636800') url = self.proxy.generate_temp_url( self.url, 2146636800, self.method, absolute=True, temp_url_key=self.key) self.assertEqual(url, expected_url) def test_generate_temp_url_bad_time(self): for bad_time in ['not_an_int', -1, 1.1, '-1', '1.1', '2015-05', '2015-05-01T01:00']: self.assertRaisesRegex( ValueError, self.time_errmsg, self.proxy.generate_temp_url, self.url, bad_time, self.method, temp_url_key=self.key) def test_generate_temp_url_bad_path(self): for bad_path in ['/v1/a/c', 'v1/a/c/o', 'blah/v1/a/c/o', '/v1//c/o', '/v1/a/c/', '/v1/a/c']: self.assertRaisesRegex( ValueError, self.path_errmsg, self.proxy.generate_temp_url, bad_path, 60, self.method, temp_url_key=self.key) class TestTempURLUnicodePathAndKey(TestTempURL): url = u'/v1/\u00e4/c/\u00f3' key = u'k\u00e9y' expected_url = (u'%s?temp_url_sig=temp_url_signature' u'&temp_url_expires=1400003600') % url expected_body = u'\n'.join([ u'GET', u'1400003600', url, ]).encode('utf-8') class TestTempURLUnicodePathBytesKey(TestTempURL): url = u'/v1/\u00e4/c/\u00f3' key = u'k\u00e9y'.encode('utf-8') expected_url = (u'%s?temp_url_sig=temp_url_signature' u'&temp_url_expires=1400003600') % url expected_body = '\n'.join([ u'GET', u'1400003600', url, ]).encode('utf-8') class TestTempURLBytesPathUnicodeKey(TestTempURL): url = u'/v1/\u00e4/c/\u00f3'.encode('utf-8') key = u'k\u00e9y' expected_url = url + (b'?temp_url_sig=temp_url_signature' b'&temp_url_expires=1400003600') expected_body = b'\n'.join([ b'GET', b'1400003600', url, ]) class TestTempURLBytesPathAndKey(TestTempURL): url = u'/v1/\u00e4/c/\u00f3'.encode('utf-8') key = u'k\u00e9y'.encode('utf-8') expected_url = url + (b'?temp_url_sig=temp_url_signature' b'&temp_url_expires=1400003600') expected_body = b'\n'.join([ b'GET', b'1400003600', url, ]) class TestTempURLBytesPathAndNonUtf8Key(TestTempURL): url = u'/v1/\u00e4/c/\u00f3'.encode('utf-8') key = b'k\xffy' expected_url = url + (b'?temp_url_sig=temp_url_signature' b'&temp_url_expires=1400003600') expected_body = b'\n'.join([ b'GET', b'1400003600', url, ])

38.132597

79

0.569931

c9863b17cfea0fe5768b4af2497e1fa271531beb

19,586

py

Python

src/env_cylc.py

NCAR/CESM-WF

7a04ece110dbb3c84bcbd823e66f5d866a83720d

[ "Unlicense" ]

5

2017-09-15T18:43:27.000Z

2020-08-14T04:04:34.000Z

src/env_cylc.py

NCAR/CESM-WF

7a04ece110dbb3c84bcbd823e66f5d866a83720d

[ "Unlicense" ]

2

2016-11-18T20:54:30.000Z

2016-11-29T22:57:58.000Z

src/env_cylc.py

NCAR/CESM-WF

7a04ece110dbb3c84bcbd823e66f5d866a83720d

[ "Unlicense" ]

7

2017-03-19T07:39:45.000Z

2020-11-05T20:16:44.000Z

import os, sys, subprocess, glob import math from standard_script_setup import * from CIME.case import Case from CIME.utils import transform_vars from CIME.XML.batch import Batch class EnvCylc(): def __init__(self): self.env = {} self.ptile = None self.total_tasks = None self.tasks_per_node = None def get_date(self, runDir): dates = {} rpointers = glob.glob(str(runDir)+'/rpointer.*') if len(rpointers) < 1: print 'Could not find any rpointer files in: ',runDir print 'You need to have rpointer files and the corresponding restart files if you have CONTINUE_RUN set to TRUE.' sys.exit(1) for rp in rpointers: f = open(rp,'r') for line in f: if '.nc' in line: dates[rp] = {} if './' in line: dates[rp]['fn'] = (str(runDir)+'/'+line[2:]).strip() else: dates[rp]['fn'] = (str(runDir)+'/'+line).strip() dates[rp]['date'] = line.split('.')[-2][:-6] f.close() sd = 'null' for d,v in dates.iteritems(): if not os.path.isfile(v['fn']): print 'Restart file does not exist: ',v['fn'] print 'This was pointed to by: ',d print 'Check rpointer files for errors.' sys.exit(1) if sd == 'null': sd = v['date'] else: if sd != v['date']: print 'Check rpointer files, detected an inconsistency.' print 'No Cylc workflow will be created.' sys.exit(1) return sd def get_tseries_info(self,pp_dir,stop_n, stop_option): import xml.etree.ElementTree as ET xml_tree = ET.ElementTree() tpers = ['hour', 'day', 'month', 'year'] sizes = [1, 24, 720, 8760] i_tper = len(tpers)-1 i_size = 999 s_size = i_size * 365 * 24 xml_tree.parse(pp_dir+'/env_timeseries.xml') for comp_archive_spec in xml_tree.findall("components/comp_archive_spec"): for file_spec in comp_archive_spec.findall("files/file_extension"): if file_spec.find("tseries_create") is not None: tseries_create = file_spec.find("tseries_create").text if tseries_create.upper() in ["T","TRUE"]: if file_spec.find("tseries_filecat_tper") is not None: tper = file_spec.find("tseries_filecat_tper").text if file_spec.find("tseries_filecat_n") is not None: size = file_spec.find("tseries_filecat_n").text s = size.split(',') t = tper.split(',') for it in range(0,len(t)): for i in range(0,len(tpers)): if tpers[i] in t[it]: c_size = int(sizes[i])*int(s[it]) if c_size < s_size: i_tper = i i_size = s[it] s_size = c_size # We don't want this interval shorter than the cesm run length, if it is, set to cesm stop_n and stop_option for i in range(0,len(tpers)): if tpers[i] in stop_option: c_size = int(sizes[i])*int(stop_n) if c_size > s_size: i_size = stop_n i_tper = i return tpers[i_tper],i_size def get_tseries_resubmit(self, ts_tper, ts_n, stop_n, stop_option): tpers = ['hour', 'day', 'month', 'year'] sizes = [1, 24, 720, 8760] ts = 0 cesm = 0 if ts_tper not in stop_option and stop_option not in ts_tper: for i in range(0,len(tpers)): if tpers[i] in ts_tper: ts = int(ts_n) * sizes[i] if tpers[i] in stop_option: cesm = int(stop_n) * sizes[i] else: ts = ts_n cesm = stop_n if int(ts)%int(cesm) > 0: freq = (int(ts)/int(cesm))+1 else: freq = (int(ts)/int(cesm)) return freq def get_env(self, my_case, debug): case = Case(my_case, read_only=False) cwd = os.getcwd() os.chdir(my_case) machine_name = case.get_value('MACH') print 'Running on ',machine_name batch_system = case.get_value("BATCH_SYSTEM") batch = Batch(batch_system=batch_system, machine=machine_name) env_batch = case.get_env("batch") os.chdir(cwd) directives = {} num_nodes = case.num_nodes bjobs = batch.get_batch_jobs() # for job, jsect in bjobs: # job_ = str.replace(job,'.','_') # directives[job_] = [] #task_count = jsect["task_count"] #task_count = env_batch.get_value("task_count", subgroup=job) # models = case.get_values("COMP_CLASSES") # env_mach_pes = case.get_env("mach_pes") # #task_count = env_mach_pes.get_total_tasks(models) # ptile = case.get_value("PES_PER_NODE") # self.num_nodes = case.num_nodes # self.thread_count = case.thread_count #task_count = jsect["task_count"] if "task_count" in jsect else env_mach_pes.get_total_tasks(models) # task_count = case.get_value("TOTALPES")*int(case.thread_count) # if task_count == "default": # models = case.get_values("COMP_CLASSES") # env_mach_pes = case.get_env("mach_pes") # task_count = env_mach_pes.get_total_tasks(models) # ptile = case.get_value("PES_PER_NODE") # self.num_nodes = case.num_nodes # self.thread_count = case.thread_count # else: # ptile = 4 # self.num_nodes = 1 # self.thread_count = 1 # self.ptile = ptile # self.total_tasks = task_count # self.tasks_per_node = ptile # queue = env_batch.select_best_queue(int(task_count),job=job) # if queue is None: # queue = env_batch.select_best_queue(task_count,job) # all_queue = [] # all_queue.append(env_batch.get_default_queue()) # all_queue = all_queue + env_batch.get_all_queues() # queue = None # Add back in when cime is frozen # for q in all_queue: # if q is not None: # if queue is None: # queue = q.xml_element.text # wall_time=None #wall_time = env_batch.get_max_walltime(queue) if wall_time is None else wall_time # wall_time = env_batch.get_queue_specs(queue)[3] if wall_time is None else wall_time # env_batch.set_value("JOB_WALLCLOCK_TIME", wall_time, subgroup=job) # env_batch.set_value("JOB_QUEUE", queue, subgroup=job) #direct = '' #ds = env_batch.get_batch_directives(case, job, raw=True) # overrides = {"total_tasks": int(task_count),"num_nodes":int(math.ceil(float(task_count)/float(case.tasks_per_node)))} # overrides["job_id"] = case.get_value("CASE") + os.path.splitext(job)[1] # overrides["batchdirectives"] = env_batch.get_batch_directives(case, job, overrides=overrides) # ds = env_batch.get_batch_directives(case, job, overrides=overrides) # dss = ds.split('\n') # for d in dss: # direct = direct + transform_vars(d, case=case, subgroup=job) #direct = direct + transform_vars(d, case=case, subgroup=job, check_members=self) # s = env_batch.get_submit_args(case, job) # bd = env_batch.get_batch_directives(case, job, overrides=overrides) # Add this back in when cime is more stable # if "run" not in job_: # direct = direct.replace(bd,'') # direct = direct + s # direct = direct.replace('-', '\n-') # direct = direct.split('\n') # for d in direct: # d.lstrip() # d.strip() # if '#PBS' in d: # d=d.replace("#PBS",'') # d = d.split(' ') # d=' '.join(d).split() # if len(d) == 2: # if ' ' not in d[0] and ' ' not in d[1] and 'walltime' not in d[1]: # directives[job_].append(d[0]+' = '+d[1]) #### Start temp code to get pbs directives from case.run #directives[job_] = [] # if 'st_archive' in job_: # directives[job_].append("-A = "+os.getenv('PROJECT')) # directives[job_].append("-q = regular") # with open(my_case+"/case.st_archive") as f: # for l in f: # if '#PBS' in l: # pbs_split = l.split() # if len(pbs_split) == 3: # directives[job_].append(pbs_split[1]+" = "+pbs_split[2]) # else: # print '***************************' # print 'Opening '+my_case+"/.case.run" # print '***************************' # with open(my_case+"/.case.run") as f: # directives[job_].append("-A = "+os.getenv('PROJECT')) # directives[job_].append("-q = regular") # for l in f: # if '#PBS' in l: # pbs_split = l.split() # if len(pbs_split) == 3: # directives[job_].append(pbs_split[1]+" = "+pbs_split[2]) directives['case_st_archive'] = [] directives['case_st_archive'].append("-A = "+os.getenv('PROJECT')) directives['case_st_archive'].append("-q = regular") with open(my_case+"/case.st_archive") as f: for l in f: if '#PBS' in l: pbs_split = l.split() if len(pbs_split) == 3: directives['case_st_archive'].append(pbs_split[1]+" = "+pbs_split[2]) directives['case_run'] = [] with open(my_case+"/.case.run") as f: directives['case_run'].append("-A = "+os.getenv('PROJECT')) directives['case_run'].append("-q = regular") for l in f: if '#PBS' in l: pbs_split = l.split() if len(pbs_split) == 3: directives['case_run'].append(pbs_split[1]+" = "+pbs_split[2]) #### End temp code to get pbs directives from case.run self.env['machine_name'] = machine_name self.env['batch_type'] = env_batch.get_batch_system_type() self.env['directives'] = directives self.env['STOP_N'] = case.get_value("STOP_N") self.env['RESUBMIT'] = case.get_value("RESUBMIT") self.env['STOP_OPTION'] = case.get_value('STOP_OPTION') self.env['DOUT_S'] = case.get_value('DOUT_S') self.env['DOUT_L_MS'] = case.get_value('DOUT_L_MS') self.env['CASEROOT'] = case.get_value('CASEROOT') self.env['CASE'] = case.get_value('CASE') self.env['RUNDIR'] = case.get_value('RUNDIR') self.env['CESMSCRATCHROOT'] = case.get_value('CIME_OUTPUT_ROOT') self.env['USER'] = case.get_value('USER') cont_run = case.get_value('CONTINUE_RUN') if not cont_run: start = case.get_value('RUN_STARTDATE') else: start = self.get_date(self.env['RUNDIR']) if debug is True: valid = True self.env['RUN_STARTDATE'] = start else: valid = False while not valid: choice = str(raw_input("Use start date "+start+"? y/n \n")) if choice == 'Y' or choice == 'y': valid = True self.env['RUN_STARTDATE'] = start elif choice == 'N' or choice == 'n': valid = True user_date = str(raw_input("Enter new date (format yyyy-mm-dd):\n")) self.env['RUN_STARTDATE'] = user_date #case.set_value("RUN_WITH_SUBMIT", True) if os.path.isdir(my_case+'/postprocess/'): pp_dir = my_case+'/postprocess/' os.chdir(pp_dir) # get pp directives comps = ['atm', 'ocn', 'lnd', 'ice'] diag_t = ['diagnostics', 'averages'] for c in comps: for d in diag_t: job = c+"_"+d directives[job] = [] output = subprocess.check_output('./pp_config --getbatch '+d+' --machine '+machine_name+' -comp '+c, shell=True) output_s = output.split('\n') for o in output_s: o_s = o.split() if len(o_s) > 1: if 'walltime' not in o_s[1]: directives[job].append(o_s[0]+' = '+o_s[1]) # get pp for timeseries and xconform tools = ['xconform', 'timeseries'] for t in tools: directives[t]=[] output = subprocess.check_output('./pp_config --getbatch '+t+' --machine '+machine_name, shell=True) output_s = output.split('\n') for o in output_s: o_s = o.split() if len(o_s) > 1: if 'walltime' not in o_s[1]: directives[t].append(o_s[0]+' = '+o_s[1]) self.env['GENERATE_TIMESERIES'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_TIMESERIES', shell=True) self.env['TIMESERIES_TPER'],self.env['TIMESERIES_N'] = self.get_tseries_info(pp_dir,self.env['STOP_N'],self.env['STOP_OPTION']) self.env['TIMESERIES_RESUBMIT'] = self.get_tseries_resubmit(self.env['TIMESERIES_TPER'],self.env['TIMESERIES_N'], self.env['STOP_N'],self.env['STOP_OPTION']) self.env['STANDARDIZE_TIMESERIES'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get STANDARDIZE_TIMESERIES', shell=True) self.env['GENERATE_AVGS_ATM'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_AVGS_ATM', shell=True) self.env['GENERATE_DIAGS_ATM'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_DIAGS_ATM', shell=True) self.env['ATMDIAG_test_first_yr'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ATMDIAG_test_first_yr', shell=True) self.env['ATMDIAG_test_nyrs'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ATMDIAG_test_nyrs', shell=True) self.env['ATMDIAG_TEST_TIMESERIES'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ATMDIAG_TEST_TIMESERIES', shell=True) self.env['GENERATE_AVGS_OCN'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_AVGS_OCN', shell=True) self.env['GENERATE_DIAGS_OCN'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_DIAGS_OCN', shell=True) self.env['OCNDIAG_YEAR0'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get OCNDIAG_YEAR0', shell=True) self.env['OCNDIAG_YEAR1'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get OCNDIAG_YEAR1', shell=True) self.env['OCNDIAG_TSERIES_YEAR0'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get OCNDIAG_TSERIES_YEAR0', shell=True) self.env['OCNDIAG_TSERIES_YEAR1'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get OCNDIAG_TSERIES_YEAR1', shell=True) self.env['OCNDIAG_MODELCASE_INPUT_TSERIES'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get OCNDIAG_MODELCASE_INPUT_TSERIES', shell=True) self.env['GENERATE_AVGS_LND'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_AVGS_LND', shell=True) self.env['GENERATE_DIAGS_LND'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_DIAGS_LND', shell=True) self.env['LNDDIAG_clim_first_yr_1'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get LNDDIAG_clim_first_yr_1', shell=True) self.env['LNDDIAG_clim_num_yrs_1'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get LNDDIAG_clim_num_yrs_1', shell=True) self.env['LNDDIAG_trends_first_yr_1'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get LNDDIAG_trends_first_yr_1', shell=True) self.env['LNDDIAG_trends_num_yrs_1'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get LNDDIAG_trends_num_yrs_1', shell=True) self.env['LNDDIAG_CASE1_TIMESERIES'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get LNDDIAG_CASE1_TIMESERIES', shell=True) self.env['GENERATE_AVGS_ICE'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_AVGS_ICE', shell=True) self.env['GENERATE_DIAGS_ICE'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get GENERATE_DIAGS_ICE', shell=True) self.env['ICEDIAG_BEGYR_DIFF'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ICEDIAG_BEGYR_DIFF', shell=True) self.env['ICEDIAG_ENDYR_DIFF'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ICEDIAG_ENDYR_DIFF', shell=True) self.env['ICEDIAG_DIFF_TIMESERIES'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ICEDIAG_DIFF_TIMESERIES', shell=True) self.env['ICEDIAG_BEGYR_CONT'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ICEDIAG_BEGYR_CONT', shell=True) self.env['ICEDIAG_ENDYR_CONT'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ICEDIAG_ENDYR_CONT', shell=True) self.env['ICEDIAG_YRS_TO_AVG'] = subprocess.check_output('./pp_config -value -caseroot '+pp_dir+' --get ICEDIAG_YRS_TO_AVG', shell=True) os.chdir(cwd) # Capitalize all true false values for k,v in self.env.iteritems(): if 'directive' not in k: self.env[k] = str(self.env[k]).strip() v = str(v).strip() v = str(v).lstrip() if 'True' in v or 'False' in v or 'true' in v or 'false' in v or v == True or v == False: self.env[k] = str(v).upper() return self.env def get_env(case_dir, debug=False): cylc = EnvCylc() env = cylc.get_env(case_dir, debug) return env #for k in env.keys(): # print k,': ',env[k]

50.220513

174

0.542632

d8898dda91e4636fcae4c67323c078a3abbb400d

842

py

Python

python/getImages.py

Short-T/CS3103

6b5b42c2347be013ef255d6f021170d9419088b2

[ "Apache-2.0" ]

null

python/getImages.py

Short-T/CS3103

6b5b42c2347be013ef255d6f021170d9419088b2

[ "Apache-2.0" ]

null

python/getImages.py

Short-T/CS3103

6b5b42c2347be013ef255d6f021170d9419088b2

[ "Apache-2.0" ]

1

2022-03-22T17:01:05.000Z

#!/bin/env python3 # # Improved demonstration of pymysql to call a stored procedure # Logan Davidson, March 19 2022 # import pymysql.cursors import settings # Make the connection dbConnection = pymysql.connect(settings.DBHOST, settings.DBUSER, settings.DBPASSWD, settings.DBDATABASE, charset='utf8mb4', cursorclass= pymysql.cursors.DictCursor) sqlProcName = 'getImages' # Run query and get result try: cursor = dbConnection.cursor() cursor.callproc(sqlProcName) dbConnection.commit() # We get all of the results and then iterate through them. results = cursor.fetchall() # Figure out what to do for images for row in results: print ("%s, %s" % (row["ImageFilePath"], row["ImageFileName"]) ) except pymysql.MySQLError as e: # failure print(e) finally: #close dbConnection dbConnection.close() # End.

22.157895

66

0.731591

7376d4e6bdda291944233e705bad47fb9cdaac51

375,826

py

Python

tests/test_datasets.py

davesteps/kluster

35ffd9120cf46f01cc706f1fe8b466ef3801382d

[ "CC0-1.0" ]

null

tests/test_datasets.py

davesteps/kluster

35ffd9120cf46f01cc706f1fe8b466ef3801382d

[ "CC0-1.0" ]

null

tests/test_datasets.py

davesteps/kluster

35ffd9120cf46f01cc706f1fe8b466ef3801382d

[ "CC0-1.0" ]

null

import logging import numpy as np import xarray as xr from HSTB.kluster import xarray_conversion class SyntheticFqpr: """ DEPRECATED - moved to just copying and pasting records to get a test dataset. Class holding the synthetic data that I came up with. You can pass in new attitude or mounting angle values to see the result. I tried to have it encompass multiple sectors and times to test out the interp and rotation stuff. """ def __init__(self, synth_time=0, synth_heave=0, synth_roll=0, synth_pitch=0, synth_yaw=90, synth_tx_mountroll=0, synth_tx_mountpitch=0, synth_tx_mountyaw=0, synth_rx_mountroll=0, synth_rx_mountpitch=0, synth_rx_mountyaw=0, synth_tx_x=0, synth_tx_y=0, synth_tx_z=0, synth_rx_x=0, synth_rx_y=0, synth_rx_z=0, secs=('999',)): self.client = None self.synth_time = synth_time self.synth_heave = synth_heave self.synth_roll = synth_roll self.synth_pitch = synth_pitch self.synth_yaw = synth_yaw self.synth_tx_mountroll = synth_tx_mountroll self.synth_tx_mountpitch = synth_tx_mountpitch self.synth_tx_mountyaw = synth_tx_mountyaw self.synth_rx_mountroll = synth_rx_mountroll self.synth_rx_mountpitch = synth_rx_mountpitch self.synth_rx_mountyaw = synth_rx_mountyaw self.secs = secs self.xyzrph = {'antenna_x': {str(synth_time): '0.000'}, 'antenna_y': {str(synth_time): '0.000'}, 'antenna_z': {str(synth_time): '0.000'}, 'imu_h': {str(synth_time): '0.000'}, 'latency': {str(synth_time): '0.000'}, 'imu_p': {str(synth_time): '0.000'}, 'imu_r': {str(synth_time): '0.000'}, 'imu_x': {str(synth_time): '0.000'}, 'imu_y': {str(synth_time): '0.000'}, 'imu_z': {str(synth_time): '0.000'}, 'rx_r': {str(synth_time): synth_rx_mountroll}, 'rx_p': {str(synth_time): synth_rx_mountpitch}, 'rx_h': {str(synth_time): synth_rx_mountyaw}, 'rx_x': {str(synth_time): synth_rx_x}, 'rx_y': {str(synth_time): synth_rx_y}, 'rx_z': {str(synth_time): synth_rx_z}, 'rx_x_0': {str(synth_time): '0.204'}, 'rx_x_1': {str(synth_time): '0.204'}, 'rx_x_2': {str(synth_time): '0.204'}, 'rx_y_0': {str(synth_time): '0.0'}, 'rx_y_1': {str(synth_time): '0.0'}, 'rx_y_2': {str(synth_time): '0.0'}, 'rx_z_0': {str(synth_time): '-0.0315'}, 'rx_z_1': {str(synth_time): '-0.0315'}, 'rx_z_2': {str(synth_time): '-0.0315'}, 'tx_r': {str(synth_time): synth_tx_mountroll}, 'tx_p': {str(synth_time): synth_tx_mountpitch}, 'tx_h': {str(synth_time): synth_tx_mountyaw}, 'tx_x': {str(synth_time): synth_tx_x}, 'tx_y': {str(synth_time): synth_tx_y}, 'tx_z': {str(synth_time): synth_tx_z}, 'tx_x_0': {str(synth_time): '0.002'}, 'tx_x_1': {str(synth_time): '0.002'}, 'tx_x_2': {str(synth_time): '0.002'}, 'tx_y_0': {str(synth_time): '-0.1042'}, 'tx_y_1': {str(synth_time): '0.0'}, 'tx_y_2': {str(synth_time): '0.1042'}, 'tx_z_0': {str(synth_time): '-0.0149'}, 'tx_z_1': {str(synth_time): '-0.006'}, 'tx_z_2': {str(synth_time): '-0.0149'}, 'waterline': {str(synth_time): '0.200'}} self.raw_ping = self.construct_raw_ping() self.raw_att = self.construct_rawattitude() def construct_raw_ping(self): """ Take the provided synthetic data built into this class and generate new raw_ping data. Will be distributed across beamangle/traveltime evenly. Returns ------- dataset: list of xarray DataSet objects that represent the raw_ping data you would get when running xarray_conversion normally. """ tme_vals = [self.synth_time + 1, self.synth_time + 3] sec_vals = self.secs bm_vals = [i for i in range(9)] tme_coord = xr.DataArray(np.array(tme_vals), dims=['time'], coords=np.array([tme_vals])) beam_coord = xr.DataArray(np.array(bm_vals), dims=['beam'], coords=np.array([bm_vals])) dataset = [] for sec in sec_vals: delay_data = [0] * len(tme_vals) delay = xr.DataArray(np.array(delay_data), dims=['time'], coords={'time': tme_coord}) ntx_data = [1] * len(tme_vals) ntx = xr.DataArray(np.array(ntx_data), dims=['time'], coords={'time': tme_coord}) tiltangle_data = [0.5] * len(tme_vals) tiltangle = xr.DataArray(np.array(tiltangle_data), dims=['time'], coords={'time': tme_coord}) twoway_travel_time_data = [[0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5]] * len(tme_vals) twoway_travel_time = xr.DataArray(np.array(twoway_travel_time_data), dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) beam_pointing_angle_data = [[80, 60, 40, 20, 0, -20, -40, -60, -80]] * len(tme_vals) beam_pointing_angle = xr.DataArray(np.array(beam_pointing_angle_data), dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) dataset.append(xr.Dataset({'delay': (['time'], delay.data), 'ntx': (['time'], ntx.data), # use the underlying numpy array to avoid problems in xarray 0.19.0 'tiltangle': (['time'], tiltangle.data), 'traveltime': (['time', 'beam'], twoway_travel_time.data), 'beampointingangle': (['time', 'beam'], beam_pointing_angle.data)}, coords={'time': tme_coord.data, 'beam': beam_coord.data}, attrs={'system_serial_number': ['999'], 'sector_identifier': sec}).chunk()) return dataset def construct_rawattitude(self): """ Take the provided synthetic data built into this class and generate new attitude data. Returns ------- dataset: xarray DataSet object that represents the attitude data you would get when running xarray_conversion normally. """ tme_vals = [self.synth_time, self.synth_time + 2, self.synth_time + 4] tme_coord = xr.DataArray(np.array(tme_vals), dims=['time'], coords=np.array([tme_vals])) heading = xr.DataArray(np.array([self.synth_yaw, self.synth_yaw + 2, self.synth_yaw + 3]), dims=['time'], coords={'time': tme_coord}) heave = xr.DataArray(np.array([self.synth_heave, self.synth_heave + 2, self.synth_heave + 3]), dims=['time'], coords={'time': tme_coord}) pitch = xr.DataArray(np.array([self.synth_pitch, self.synth_pitch + 2, self.synth_pitch + 3]), dims=['time'], coords={'time': tme_coord}) roll = xr.DataArray(np.array([self.synth_roll, self.synth_roll + 2, self.synth_roll + 3]), dims=['time'], coords={'time': tme_coord}) return xr.Dataset({'heading': (['time'], heading.data), 'heave': (['time'], heave.data), 'pitch': (['time'], pitch.data), 'roll': (['time'], roll.data)}, coords={'time': tme_coord.data}).chunk() class RealDualheadFqpr: """ Class holding the real data that I took from a Hassler EM2040 dual head .all file (0022_20190716_232128_S250.all). Covers a ping and the attitude values associated with them. float(fq.multibeam.raw_ping[0].time[3853]) Out[11]: 1563319483.706 float(fq.multibeam.raw_ping[1].time[3826]) Out[12]: 1563319483.706001 rec389 = ad.getrecord(88, 7681) rec394 = ad.getrecord(88, 7682) """ def __init__(self, synth_ra_time=(1563319483.706, 1563319483.706001), synth_att_time=(1563319483.506, 1563319483.516, 1563319483.526, 1563319483.536, 1563319483.546, 1563319483.556, 1563319483.566, 1563319483.576, 1563319483.586, 1563319483.596, 1563319483.606, 1563319483.616, 1563319483.626, 1563319483.636, 1563319483.646, 1563319483.656, 1563319483.666, 1563319483.6759999, 1563319483.6859999, 1563319483.6959999, 1563319483.7059999, 1563319483.7159998, 1563319483.726, 1563319483.736, 1563319483.746, 1563319483.756, 1563319483.766, 1563319483.776, 1563319483.786, 1563319483.796, 1563319483.806, 1563319483.816, 1563319483.826, 1563319483.836, 1563319483.846, 1563319483.856, 1563319483.866, 1563319483.876, 1563319483.886, 1563319483.896), synth_nav_time=(1563319483.506, 1563319483.516, 1563319483.526, 1563319483.536, 1563319483.546, 1563319483.555, 1563319483.565, 1563319483.575, 1563319483.585, 1563319483.595, 1563319483.605, 1563319483.615, 1563319483.625, 1563319483.635, 1563319483.645, 1563319483.656, 1563319483.666, 1563319483.6759999, 1563319483.6859999, 1563319483.6959999, 1563319483.7059999, 1563319483.7159998, 1563319483.7259998, 1563319483.7359998, 1563319483.7459998, 1563319483.755, 1563319483.765, 1563319483.775, 1563319483.785, 1563319483.795, 1563319483.805, 1563319483.815, 1563319483.825, 1563319483.835, 1563319483.845, 1563319483.856, 1563319483.866,1563319483.876, 1563319483.886, 1563319483.896), synth_txsector_beam=((0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)), synth_frequency=((290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000), (290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000)), synth_delay=((5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08), (5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08, 5.5501005e-08)), synth_beampointingangle=((64.79, 64.729996, 64.67, 64.61, 64.549995, 64.49, 64.43, 64.369995, 64.31, 64.24, 64.18, 64.119995, 64.06, 64.0, 63.93, 63.87, 63.809998, 63.739998, 63.68, 63.609997, 63.55, 63.48, 63.41, 63.35, 63.28, 63.21, 63.149998, 63.079998, 63.01, 62.94, 62.87, 62.8, 62.73, 62.66, 62.59, 62.52, 62.449997, 62.379997, 62.309998, 62.23, 62.16, 62.09, 62.01, 61.94, 61.859997, 61.789997, 61.71, 61.64, 61.559998, 61.48, 61.399998, 61.329998, 61.25, 61.17, 61.09, 61.01, 60.93, 60.85, 60.77, 60.68, 60.6, 60.52, 60.43, 60.35, 60.27, 60.18, 60.09, 60.01, 59.92, 59.829998, 59.75, 59.66, 59.57, 59.48, 59.39, 59.3, 59.21, 59.12, 59.02, 58.93, 58.84, 58.739998, 58.649998, 58.55, 58.46, 58.359997, 58.26, 58.17, 58.07, 57.969997, 57.87, 57.77, 57.67, 57.559998, 57.46, 57.36, 57.25, 57.149998, 57.039997, 56.94, 56.829998, 56.719997, 56.62, 56.51, 56.399998, 56.289997, 56.18, 56.059998, 55.949997, 55.84, 55.719997, 55.61, 55.489998, 55.379997, 55.26, 55.14, 55.02, 54.899998, 54.78, 54.66, 54.539997, 54.41, 54.289997, 54.16, 54.039997, 53.91, 53.78, 53.649998, 53.52, 53.39, 53.26, 53.129997, 53.0, 52.86, 52.73, 52.59, 52.449997, 52.309998, 52.17, 52.03, 51.89, 51.75, 51.6, 51.46, 51.309998, 51.17, 51.02, 50.87, 50.719997, 50.57, 50.42, 50.26, 50.11, 49.95, 49.789997, 49.64, 49.48, 49.309998, 49.149998, 48.989998, 48.82, 48.66, 48.489998, 48.32, 48.149998, 47.98, 47.809998, 47.64, 47.46, 47.289997, 47.11, 46.93, 46.75, 46.57, 46.379997, 46.2, 46.01, 45.82, 45.629997, 45.44, 45.25, 45.059998, 44.86, 44.66, 44.469997, 44.27, 44.059998, 43.86, 43.66, 43.45, 43.239998, 43.03, 42.82, 42.61, 42.39, 42.18, 41.96, 41.739998, 41.52, 41.29, 41.07, 40.84, 40.61, 40.379997, 40.149998, 39.91, 39.68, 39.44, 39.2, 38.96, 38.71, 38.469997, 38.219997, 37.969997, 37.719997, 37.46, 37.21, 36.95, 36.69, 36.43, 36.16, 35.899998, 35.63, 35.36, 35.079998, 34.809998, 34.53, 34.25, 33.969997, 33.69, 33.399998, 33.12, 32.829998, 32.53, 32.239998, 31.939999, 31.64, 31.34, 31.039999, 30.73, 30.42, 30.109999, 29.8, 29.49, 29.17, 28.849998, 28.529999, 28.199999, 27.869999, 27.55, 27.21, 26.88, 26.539999, 26.21, 25.859999, 25.519999, 25.18, 24.83, 24.48, 24.119999, 23.769999, 23.41, 23.05, 22.689999, 22.32, 21.96, 21.59, 21.22, 20.84, 20.47, 20.09, 19.71, 19.32, 18.939999, 18.55, 18.16, 17.77, 17.38, 16.98, 16.58, 16.18, 15.78, 15.37, 14.969999, 14.559999, 14.15, 13.74, 13.32, 12.9, 12.49, 12.07, 11.639999, 11.219999, 10.79, 10.37, 9.94, 9.51, 9.08, 8.639999, 8.21, 7.77, 7.33, 6.89, 6.45, 6.0099998, 5.5699997, 5.12, 4.68, 4.23, 3.78, 3.33, 2.8799999, 2.4299998, 1.9799999, 1.53, 1.0799999, 0.62, 0.17, -0.28, -0.74, -1.1899999, -1.65, -2.11, -2.56, -3.02, -3.48, -3.9299998, -4.39, -4.85, -5.2999997, -5.7599998, -6.22, -6.67, -7.1299996, -7.5899997, -8.04, -8.5, -8.95, -9.4, -9.86, -10.309999, -10.76, -11.21, -11.66, -12.11, -12.559999, -13.0, -13.45, -13.889999, -14.34, -14.78, -15.219999, -15.66, -16.1, -16.539999, -16.97, -17.41, -17.84, -18.27, -18.699999, -19.13, -19.55, -19.98, -20.4, -20.82, -21.24, -21.65, -22.07, -22.48, -22.89, -23.3, -23.71, -24.109999, -24.519999, -24.92, -25.32, -25.71, -26.109999, -26.5, -26.89, -27.279999, -27.66, -28.05, -28.43, -28.81, -29.179998, -29.56, -29.929998, -30.3, -30.67, -31.029999, -31.4, -31.76, -32.12, -32.469997, -32.82, -33.18, -33.52, -33.87, -34.21), (33.51, 33.18, 32.85, 32.51, 32.18, 31.84, 31.5, 31.15, 30.81, 30.46, 30.109999, 29.76, 29.41, 29.05, 28.689999, 28.33, 27.97, 27.609999, 27.24, 26.869999, 26.5, 26.13, 25.75, 25.38, 25.0, 24.619999, 24.24, 23.85, 23.47, 23.08, 22.689999, 22.3, 21.9, 21.51, 21.109999, 20.71, 20.31, 19.91, 19.5, 19.1, 18.69, 18.279999, 17.869999, 17.46, 17.039999, 16.63, 16.21, 15.79, 15.38, 14.96, 14.53, 14.11, 13.69, 13.259999, 12.83, 12.41, 11.98, 11.55, 11.12, 10.69, 10.26, 9.82, 9.389999, 8.96, 8.5199995, 8.09, 7.6499996, 7.21, 6.7799997, 6.3399997, 5.9, 5.47, 5.0299997, 4.5899997, 4.15, 3.7099998, 3.28, 2.84, 2.3999999, 1.9599999, 1.52, 1.0799999, 0.65, 0.21, -0.22999999, -0.65999997, -1.1, -1.53, -1.9699999, -2.3999999, -2.84, -3.27, -3.6999998, -4.13, -4.56, -4.99, -5.42, -5.85, -6.27, -6.7, -7.12, -7.54, -7.97, -8.389999, -8.8, -9.22, -9.639999, -10.05, -10.469999, -10.88, -11.29, -11.7, -12.11, -12.509999, -12.92, -13.32, -13.719999, -14.12, -14.5199995, -14.91, -15.299999, -15.7, -16.09, -16.47, -16.859999, -17.25, -17.63, -18.01, -18.39, -18.76, -19.14, -19.51, -19.88, -20.25, -20.609999, -20.98, -21.34, -21.699999, -22.06, -22.41, -22.769999, -23.119999, -23.47, -23.81, -24.16, -24.5, -24.84, -25.18, -25.519999, -25.849998, -26.18, -26.51, -26.84, -27.17, -27.49, -27.81, -28.13, -28.449999, -28.76, -29.07, -29.38, -29.689999, -30.0, -30.3, -30.599998, -30.9, -31.199999, -31.49, -31.789999, -32.079998, -32.37, -32.649998, -32.94, -33.219997, -33.5, -33.78, -34.059998, -34.329998, -34.6, -34.87, -35.14, -35.41, -35.67, -35.93, -36.19, -36.45, -36.71, -36.96, -37.219997, -37.469997, -37.719997, -37.96, -38.21, -38.45, -38.69, -38.93, -39.17, -39.41, -39.64, -39.87, -40.1, -40.329998, -40.559998, -40.79, -41.01, -41.23, -41.45, -41.67, -41.89, -42.1, -42.32, -42.53, -42.739998, -42.95, -43.149998, -43.36, -43.559998, -43.77, -43.969997, -44.17, -44.37, -44.559998, -44.76, -44.95, -45.14, -45.329998, -45.52, -45.71, -45.899998, -46.079998, -46.26, -46.45, -46.629997, -46.809998, -46.989998, -47.16, -47.34, -47.51, -47.68, -47.86, -48.03, -48.19, -48.36, -48.53, -48.69, -48.86, -49.02, -49.18, -49.34, -49.5, -49.66, -49.82, -49.969997, -50.129997, -50.28, -50.43, -50.59, -50.739998, -50.879997, -51.03, -51.18, -51.329998, -51.469997, -51.61, -51.76, -51.899998, -52.039997, -52.18, -52.32, -52.46, -52.59, -52.73, -52.86, -53.0, -53.129997, -53.26, -53.39, -53.52, -53.649998, -53.78, -53.91, -54.039997, -54.16, -54.289997, -54.41, -54.53, -54.66, -54.78, -54.899998, -55.02, -55.14, -55.26, -55.37, -55.489998, -55.61, -55.719997, -55.84, -55.949997, -56.059998, -56.17, -56.289997, -56.399998, -56.51, -56.61, -56.719997, -56.829998, -56.94, -57.039997, -57.149998, -57.25, -57.36, -57.46, -57.57, -57.67, -57.77, -57.87, -57.969997, -58.07, -58.17, -58.27, -58.37, -58.46, -58.559998, -58.649998, -58.75, -58.84, -58.94, -59.03, -59.129997, -59.219997, -59.309998, -59.399998, -59.489998, -59.579998, -59.67, -59.76, -59.85, -59.94, -60.02, -60.109997, -60.199997, -60.28, -60.37, -60.449997, -60.539997, -60.62, -60.699997, -60.789997, -60.87, -60.949997, -61.03, -61.109997, -61.19, -61.27, -61.35, -61.43, -61.51, -61.59, -61.66, -61.739998, -61.82, -61.89, -61.969997, -62.039997, -62.12, -62.19, -62.27, -62.34, -62.41, -62.489998, -62.559998, -62.629997, -62.699997, -62.77, -62.85, -62.92, -62.989998, -63.059998, -63.12, -63.19, -63.26, -63.329998, -63.399998, -63.46, -63.53, -63.6, -63.66, -63.73, -63.8, -63.859997, -63.92, -63.989998, -64.049995, -64.119995, -64.18, -64.24, -64.31, -64.369995, -64.43, -64.49)), synth_soundspeed=(1541.5999755859375, 1541.5999755859375), synth_counter=(35352, 35352), synth_traveltime=((0.06522449, 0.06518704, 0.06507684, 0.065071255, 0.064642794, 0.064505786, 0.06434554, 0.06416631, 0.063962236, 0.06377582, 0.0635625, 0.06340408, 0.06328276, 0.0631804, 0.06307749, 0.06280551, 0.062687226, 0.06258843, 0.06258736, 0.06253909, 0.06246798, 0.062533304, 0.062135007, 0.062001966, 0.0619417, 0.061624885, 0.061449982, 0.06100908, 0.0609155, 0.060836654, 0.060686, 0.060577974, 0.060436483, 0.06017909, 0.059903726, 0.059593327, 0.05961624, 0.059536032, 0.059413526, 0.05915733, 0.058976103, 0.058743443, 0.058609582, 0.058437146, 0.0583026, 0.05813677, 0.057953823, 0.057874046, 0.05773502, 0.057653327, 0.057192303, 0.05707479, 0.057043985, 0.05692095, 0.05691686, 0.056565855, 0.05642815, 0.056190096, 0.05600257, 0.05578149, 0.05570252, 0.055485103, 0.05529015, 0.055106144, 0.054920398, 0.054755036, 0.054668132, 0.054615926, 0.054494556, 0.054432377, 0.054161485, 0.05399137, 0.053796716, 0.053626675, 0.053485643, 0.053344276, 0.053240005, 0.05310789, 0.052983914, 0.05280533, 0.052616112, 0.052513927, 0.052311942, 0.05214153, 0.05201989, 0.051904447, 0.051806886, 0.051698662, 0.0511948, 0.050998855, 0.050825115, 0.050497606, 0.050418604, 0.050333034, 0.050229885, 0.05013128, 0.050065372, 0.049987655, 0.04986936, 0.049747612, 0.049612574, 0.04936429, 0.04912361, 0.048920497, 0.048735674, 0.048601624, 0.04847881, 0.0483425, 0.04822244, 0.048108548, 0.04795933, 0.04778951, 0.04764674, 0.047454994, 0.047208834, 0.0469862, 0.047033556, 0.046873834, 0.04691157, 0.04671424, 0.04644442, 0.04624085, 0.04611523, 0.04588836, 0.04578103, 0.045665614, 0.045577113, 0.045611817, 0.04522572, 0.045074847, 0.044934355, 0.044838343, 0.044644285, 0.04448069, 0.044326458, 0.044175576, 0.04401584, 0.04388153, 0.04374801, 0.043601375, 0.043467492, 0.043320697, 0.043149393, 0.0430222, 0.042833645, 0.042648237, 0.042483058, 0.042383272, 0.042239156, 0.042139858, 0.042027947, 0.041908782, 0.041744523, 0.041616105, 0.04151694, 0.041373696, 0.041251116, 0.041057285, 0.040898778, 0.040764626, 0.040633954, 0.04051557, 0.040407497, 0.040280275, 0.040128462, 0.039896782, 0.039810136, 0.03962978, 0.039490405, 0.039437298, 0.039251424, 0.03903844, 0.038855065, 0.038736027, 0.038593363, 0.03847536, 0.03838772, 0.038259927, 0.03811045, 0.037954308, 0.037783723, 0.037620768, 0.03744685, 0.037308894, 0.03713024, 0.036985103, 0.036887284, 0.03681795, 0.036761448, 0.03655517, 0.036370464, 0.036215004, 0.036048945, 0.03594251, 0.03582423, 0.035668287, 0.03555743, 0.035394955, 0.03524771, 0.03509924, 0.03492953, 0.034781773, 0.034602158, 0.034490712, 0.034394506, 0.034273535, 0.034173444, 0.034011576, 0.033872608, 0.03372753, 0.033607963, 0.033479813, 0.033324625, 0.03322643, 0.03311384, 0.032966346, 0.03284337, 0.032699086, 0.03254835, 0.032423094, 0.032333124, 0.032218125, 0.03212301, 0.032028582, 0.031913806, 0.03174077, 0.031655036, 0.03148415, 0.031378485, 0.03127493, 0.031162292, 0.031048689, 0.030914722, 0.03078834, 0.030664947, 0.030533018, 0.030373689, 0.030267736, 0.030149909, 0.030047255, 0.029957393, 0.02982482, 0.029724898, 0.029619483, 0.029430812, 0.029349215, 0.02930378, 0.02921781, 0.029064978, 0.028962802, 0.028828954, 0.028735913, 0.028656164, 0.028525708, 0.028417978, 0.02837464, 0.028294982, 0.028085144, 0.028014475, 0.0278881, 0.027792554, 0.027711269, 0.027650138, 0.027599972, 0.027530676, 0.027436728, 0.02734857, 0.027308816, 0.027275976, 0.027089471, 0.026979135, 0.026879309, 0.026838332, 0.026807435, 0.026790207, 0.026758457, 0.026675122, 0.026512671, 0.026411993, 0.026344003, 0.026275361, 0.026225492, 0.026193999, 0.02616346, 0.026104024, 0.025933256, 0.026011482, 0.02580203, 0.025773056, 0.025746878, 0.025719209, 0.025703037, 0.025742559, 0.02562818, 0.025484039, 0.025463546, 0.025443735, 0.025397873, 0.025359608, 0.02536266, 0.025172435, 0.025252314, 0.025224654, 0.025370404, 0.02508849, 0.02495524, 0.024871388, 0.024826415, 0.024842858, 0.024835419, 0.024810242, 0.024783982, 0.024775004, 0.024785873, 0.024774877, 0.024676148, 0.024662785, 0.024611581, 0.024604993, 0.024610542, 0.02461692, 0.024627423, 0.02462869, 0.024617245, 0.024603054, 0.024534967, 0.024535242, 0.024539262, 0.02453834, 0.0245391, 0.024541842, 0.024541361, 0.024534907, 0.024533238, 0.024535734, 0.024542985, 0.02455123, 0.024558408, 0.02455526, 0.02456441, 0.024643479, 0.024654316, 0.024641989, 0.024689602, 0.0247348, 0.024758905, 0.024773423, 0.024780592, 0.024790682, 0.024837008, 0.024887824, 0.024908548, 0.025075123, 0.025001861, 0.02511, 0.025119135, 0.025131602, 0.025152188, 0.025205202, 0.025332384, 0.025369521, 0.02518933, 0.025490778, 0.025523953, 0.02556849, 0.025615312, 0.025657328, 0.02570217, 0.026048128, 0.02589172, 0.025936496, 0.026053024, 0.026104333, 0.026139332, 0.026173145, 0.026220541, 0.026291238, 0.026371716, 0.02644942, 0.026507504, 0.026553351, 0.026664851, 0.026784983, 0.026868131, 0.026909685, 0.027035134, 0.02708057, 0.027252892, 0.027315978, 0.027363624, 0.027421255, 0.027476111, 0.027543077, 0.027667334, 0.027811557, 0.027955748, 0.028007679, 0.02805615, 0.028225068, 0.028321648), (0.028341256, 0.028267216, 0.02819169, 0.028065993, 0.027978903, 0.027861916, 0.027814543, 0.027771937, 0.027729565, 0.027561279, 0.027490498, 0.02729614, 0.02726445, 0.027200872, 0.027102495, 0.027024996, 0.02699118, 0.026959093, 0.026888823, 0.026795097, 0.026690306, 0.026583338, 0.02651464, 0.026463535, 0.02645002, 0.026434481, 0.026363837, 0.026230454, 0.026140213, 0.0260415, 0.025975566, 0.025957426, 0.025928603, 0.025897559, 0.025876988, 0.025860658, 0.025824694, 0.025677681, 0.025578134, 0.025459323, 0.025400503, 0.025399707, 0.02536268, 0.02531868, 0.025290577, 0.025289783, 0.025275948, 0.025186384, 0.025190832, 0.025170509, 0.025071217, 0.025020227, 0.025022427, 0.025006438, 0.024977453, 0.024928058, 0.024893843, 0.024826892, 0.024837537, 0.024835454, 0.024825364, 0.024787355, 0.024754863, 0.024744669, 0.024764579, 0.024738109, 0.024707051, 0.024730662, 0.024720922, 0.024714136, 0.024676956, 0.024663521, 0.024663089, 0.024665415, 0.024678243, 0.02468989, 0.024685243, 0.024678735, 0.024679454, 0.024678046, 0.02468035, 0.024739003, 0.0247674, 0.024743253, 0.02475427, 0.024770709, 0.02477101, 0.024807306, 0.024867848, 0.024864934, 0.024871062, 0.024886938, 0.02493612, 0.024929078, 0.024955736, 0.025016543, 0.02509175, 0.025257425, 0.024946557, 0.025135297, 0.02520516, 0.025218878, 0.025242163, 0.025273249, 0.025356248, 0.025437266, 0.025472641, 0.025534341, 0.025595607, 0.025626272, 0.025656361, 0.025710078, 0.025788054, 0.025852202, 0.025898213, 0.025922868, 0.0259505, 0.026012402, 0.026169363, 0.026297735, 0.026431158, 0.026404101, 0.026456883, 0.026458915, 0.026464188, 0.026485236, 0.02661925, 0.02682908, 0.026906397, 0.026959669, 0.026995962, 0.027061315, 0.027137168, 0.027199881, 0.027286468, 0.027385924, 0.027481344, 0.027530583, 0.02756527, 0.027678994, 0.027827643, 0.027907362, 0.02802151, 0.02815224, 0.02823538, 0.028284255, 0.028361235, 0.028440803, 0.028515894, 0.028592901, 0.028685875, 0.028806537, 0.028895397, 0.02903401, 0.029117582, 0.0292258, 0.029362388, 0.02945047, 0.029508533, 0.029661555, 0.029748157, 0.029810004, 0.029906625, 0.030132703, 0.030240707, 0.030349977, 0.03049707, 0.030586315, 0.030724024, 0.030790819, 0.030910674, 0.031025346, 0.03112967, 0.031266525, 0.031475887, 0.031604774, 0.031740934, 0.031883735, 0.03198466, 0.03209943, 0.03221525, 0.03237489, 0.032533713, 0.032645825, 0.032803643, 0.03293376, 0.033045284, 0.033189557, 0.033310354, 0.033401527, 0.03358435, 0.033739153, 0.03387751, 0.034037918, 0.034241587, 0.03433783, 0.03443083, 0.034539144, 0.0347603, 0.034945622, 0.03515317, 0.035204496, 0.03526165, 0.035343625, 0.035493907, 0.035635896, 0.035740998, 0.03591008, 0.036083657, 0.036146555, 0.036284827, 0.036392953, 0.03647947, 0.03667351, 0.036812864, 0.036966283, 0.03714145, 0.037323304, 0.037457727, 0.03759276, 0.037717864, 0.037836023, 0.037980728, 0.03815581, 0.038314465, 0.03847739, 0.03861899, 0.03876452, 0.038911708, 0.039040655, 0.039172463, 0.039286606, 0.039412994, 0.039588615, 0.039779164, 0.03993379, 0.040120576, 0.040384363, 0.040468775, 0.0405913, 0.040750254, 0.04086353, 0.040963642, 0.041103657, 0.04109384, 0.041407086, 0.04166521, 0.041842952, 0.04197794, 0.04213145, 0.042288613, 0.04242097, 0.042609476, 0.042733584, 0.042926807, 0.04311394, 0.043245636, 0.043367323, 0.043578003, 0.043753672, 0.04394945, 0.04410044, 0.044267166, 0.04447169, 0.044612218, 0.044772495, 0.04494207, 0.04508513, 0.045267407, 0.045419555, 0.04557632, 0.045704264, 0.045839746, 0.046018355, 0.046210222, 0.046378676, 0.046535775, 0.046723336, 0.046886057, 0.047069807, 0.047225844, 0.047359616, 0.047403686, 0.047668457, 0.04803036, 0.048128698, 0.04828162, 0.04841474, 0.048525117, 0.048644245, 0.048799768, 0.049006276, 0.04916146, 0.049396362, 0.0495242, 0.04969117, 0.049882345, 0.050049912, 0.050235257, 0.050373737, 0.0506082, 0.050737403, 0.050908424, 0.050865155, 0.051170506, 0.051403362, 0.051608514, 0.05182332, 0.051980477, 0.052123256, 0.052259997, 0.052400805, 0.052551176, 0.05277073, 0.052929755, 0.053136323, 0.053348947, 0.053459987, 0.053639263, 0.053794358, 0.053898446, 0.054098476, 0.054298148, 0.05446773, 0.054665692, 0.054816477, 0.05495632, 0.055100735, 0.05537986, 0.055488206, 0.055743963, 0.055838246, 0.055895437, 0.055975545, 0.05617462, 0.05650928, 0.056859788, 0.056863766, 0.057010952, 0.057240766, 0.05721194, 0.057756644, 0.05786516, 0.058000784, 0.05812295, 0.05830852, 0.058492575, 0.05863681, 0.0587849, 0.058969487, 0.059138488, 0.05937737, 0.05944659, 0.059682943, 0.05978295, 0.05989475, 0.06009527, 0.060301565, 0.06056904, 0.06072526, 0.060803007, 0.061006345, 0.06103696, 0.06139422, 0.061568066, 0.061686378, 0.061937917, 0.062169164, 0.062290505, 0.062400684, 0.06252082, 0.06266932, 0.06287615, 0.06303492, 0.06320577, 0.0632127, 0.06370442, 0.06375613, 0.063881114, 0.0639308, 0.06399956, 0.06428089, 0.06443866, 0.06453087, 0.06478732, 0.06479099, 0.065225035, 0.06541945, 0.06561232, 0.06591677, 0.06605095, 0.06611706, 0.06627636, 0.06657195, 0.0667452, 0.06690033, 0.066922285, 0.0672966, 0.06734647, 0.06770231)), synth_qualityfactor=((3, 3, 5, 15, 15, 7, 8, 16, 2, 16, 9, 9, 16, 16, 15, 1, 2, 2, 5, 3, 3, 10, 13, 14, 12, 6, 13, 13, 6, 2, 4, 5, 7, 10, 13, 14, 6, 4, 5, 14, 15, 8, 3, 8, 32, 24, 11, 18, 6, 20, 5, 5, 3, 4, 8, 8, 9, 12, 6, 6, 5, 6, 9, 12, 6, 6, 5, 5, 3, 10, 9, 109, 6, 4, 5, 6, 2, 3, 4, 6, 10, 11, 14, 10, 4, 2, 11, 91, 14, 10, 9, 16, 14, 7, 4, 3, 2, 2, 2, 5, 8, 13, 18, 3, 2, 2, 2, 1, 3, 2, 3, 2, 3, 4, 8, 16, 8, 9, 24, 13, 6, 8, 11, 9, 5, 6, 14, 30, 8, 3, 6, 7, 5, 5, 4, 5, 2, 2, 3, 2, 2, 1, 9, 8, 11, 27, 14, 6, 6, 9, 8, 5, 4, 4, 2, 3, 4, 4, 5, 4, 2, 2, 2, 4, 5, 11, 7, 5, 5, 5, 3, 3, 17, 11, 15, 16, 21, 12, 11, 6, 6, 3, 3, 4, 4, 14, 13, 16, 27, 53, 5, 3, 8, 8, 9, 7, 7, 3, 2, 2, 2, 3, 9, 9, 8, 9, 7, 3, 2, 4, 4, 4, 5, 5, 4, 4, 4, 3, 1, 2, 4, 3, 4, 5, 3, 3, 18, 5, 4, 4, 5, 4, 6, 4, 5, 5, 9, 8, 8, 16, 6, 6, 3, 3, 12, 13, 15, 14, 5, 4, 15, 17, 5, 5, 6, 17, 17, 5, 3, 14, 17, 16, 14, 14, 17, 18, 15, 12, 14, 9, 19, 14, 14, 13, 12, 15, 19, 20, 16, 14, 14, 13, 13, 16, 19, 30, 21, 14, 13, 13, 12, 12, 27, 30, 17, 12, 14, 15, 14, 14, 16, 18, 24, 33, 11, 19, 19, 13, 11, 12, 12, 11, 11, 11, 16, 11, 12, 10, 10, 10, 10, 10, 15, 17, 15, 11, 10, 11, 11, 11, 11, 11, 11, 11, 11, 10, 10, 10, 10, 11, 15, 12, 11, 14, 12, 11, 11, 12, 12, 11, 12, 13, 14, 15, 11, 11, 11, 13, 17, 22, 21, 15, 14, 13, 12, 11, 12, 13, 26, 17, 18, 15, 13, 12, 13, 14, 14, 14, 14, 14, 15, 19, 17, 12, 13, 10, 10, 13, 14, 15, 15, 15, 15, 13, 7, 17, 14, 16, 7, 6), (3, 17, 7, 151, 20, 15, 4, 10, 13, 12, 6, 8, 14, 9, 3, 4, 4, 4, 4, 3, 5, 9, 9, 6, 2, 13, 12, 10, 5, 12, 16, 13, 13, 8, 6, 12, 11, 6, 4, 18, 11, 30, 3, 3, 13, 8, 6, 3, 4, 4, 13, 15, 8, 7, 40, 13, 13, 19, 11, 9, 13, 13, 5, 5, 10, 7, 9, 11, 13, 6, 6, 5, 7, 12, 8, 6, 10, 11, 11, 4, 6, 12, 9, 14, 8, 8, 11, 10, 13, 14, 9, 15, 12, 8, 6, 10, 8, 7, 3, 3, 2, 1, 1, 4, 6, 8, 6, 8, 17, 10, 6, 5, 6, 14, 28, 10, 4, 4, 8, 21, 10, 7, 2, 2, 2, 4, 7, 16, 9, 4, 6, 9, 4, 4, 3, 4, 3, 2, 1, 3, 6, 22, 14, 15, 51, 24, 7, 6, 6, 5, 8, 7, 4, 5, 6, 12, 38, 26, 8, 19, 8, 8, 9, 8, 3, 3, 4, 3, 4, 3, 3, 3, 3, 5, 5, 7, 6, 4, 4, 3, 3, 4, 4, 5, 13, 15, 11, 10, 5, 2, 4, 4, 7, 6, 7, 7, 7, 7, 4, 5, 16, 10, 8, 8, 6, 5, 6, 6, 4, 7, 8, 16, 14, 12, 11, 12, 9, 5, 5, 6, 7, 7, 6, 4, 8, 8, 9, 8, 7, 3, 8, 9, 9, 7, 11, 4, 4, 4, 6, 5, 4, 3, 4, 4, 4, 16, 15, 6, 7, 7, 6, 16, 18, 14, 9, 9, 14, 14, 15, 17, 18, 16, 14, 13, 14, 16, 17, 17, 14, 13, 15, 20, 19, 14, 14, 12, 13, 13, 15, 15, 13, 12, 13, 14, 13, 16, 23, 13, 12, 14, 13, 12, 13, 14, 14, 13, 14, 16, 17, 13, 11, 11, 18, 13, 12, 13, 16, 12, 10, 10, 12, 13, 14, 13, 14, 12, 11, 12, 12, 10, 11, 11, 11, 11, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 10, 10, 10, 10, 11, 12, 14, 13, 10, 11, 15, 18, 14, 13, 10, 13, 14, 14, 15, 13, 13, 13, 12, 12, 13, 7, 12, 12, 12, 12, 12, 13, 16, 7, 12, 12, 13, 19, 18, 12, 13, 20, 15, 13, 14, 15, 18, 16, 13, 12, 17, 10, 17, 18, 17, 15, 14, 15, 14, 6, 6, 18, 17, 18)), synth_tiltangle=((-1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999, -1.3199999), (-0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77, -0.77)), synth_ntx=(1, 1), synth_heave=(0.10999999940395355, 0.10999999940395355, 0.10999999940395355, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.09999999403953552, 0.08999999612569809, 0.08999999612569809, 0.08999999612569809, 0.08999999612569809, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07999999821186066, 0.07000000029802322, 0.07000000029802322, 0.07000000029802322, 0.07000000029802322, 0.07000000029802322, 0.07000000029802322, 0.07000000029802322), synth_roll=(-0.07999999821186066, -0.07999999821186066, -0.07999999821186066, -0.07999999821186066, -0.07999999821186066, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.07000000029802322, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.05999999865889549, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776, -0.04999999701976776), synth_pitch=(0.9599999785423279, 0.9599999785423279, 0.9599999785423279, 0.949999988079071, 0.949999988079071, 0.949999988079071, 0.949999988079071, 0.9399999976158142, 0.9399999976158142, 0.9399999976158142, 0.9399999976158142, 0.9300000071525574, 0.9300000071525574, 0.9300000071525574, 0.9300000071525574, 0.9199999570846558, 0.9199999570846558, 0.9199999570846558, 0.9199999570846558, 0.9199999570846558, 0.9099999666213989, 0.9099999666213989, 0.9099999666213989, 0.9099999666213989, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8899999856948853, 0.8899999856948853, 0.8899999856948853, 0.8899999856948853, 0.8899999856948853, 0.8799999952316284, 0.8799999952316284, 0.8799999952316284, 0.8799999952316284, 0.8799999952316284, 0.8700000047683716), synth_yaw=(214.1199951171875, 214.1199951171875, 214.1199951171875, 214.1199951171875, 214.1199951171875, 214.1199951171875, 214.1199951171875, 214.1199951171875, 214.1199951171875, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.11000061035156, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656, 214.09999084472656), synth_altitude=(-32.73036529849195, -32.711789940262086), synth_latitude=(30.41797070292914, 30.41796516450258), synth_longitude=(-81.07355341266269, -81.07355899578471), synth_xyztime=1563319288, synth_waterline=-2.383, synth_tx_port_mountroll=4.374, synth_tx_port_mountpitch=0.363, synth_tx_port_mountyaw=1.045, synth_tx_stbd_mountroll=-3.398, synth_tx_stbd_mountpitch=-0.166, synth_tx_stbd_mountyaw=0.988, synth_rx_port_mountroll=4.274, synth_rx_port_mountpitch=0.363, synth_rx_port_mountyaw=0.899, synth_rx_stbd_mountroll=-3.448, synth_rx_stbd_mountpitch=-0.166, synth_rx_stbd_mountyaw=1.035, synth_tx_port_x=0.595, synth_tx_port_y=-13.292, synth_tx_port_z=1.319, synth_tx_stbd_x=0.427, synth_tx_stbd_y=1.559, synth_tx_stbd_z=1.381, synth_rx_port_x=0.495, synth_rx_port_y=-13.598, synth_rx_port_z=1.282, synth_rx_stbd_x=0.331, synth_rx_stbd_y=1.251, synth_rx_stbd_z=1.385, synth_tx_x_0=0.00, synth_tx_x_1=0.00, synth_tx_x_2=0.00, synth_tx_y_0=-0.0554, synth_tx_y_1=0.0131, synth_tx_y_2=0.0554, synth_tx_z_0=-0.012, synth_tx_z_1=-0.006, synth_tx_z_2=-0.012, synth_rx_x_0=0.011, synth_rx_x_1=0.011, synth_rx_x_2=0.011, synth_rx_y_0=0.00, synth_rx_y_1=0.00, synth_rx_y_2=0.00, synth_rx_z_0=-0.006, synth_rx_z_1=-0.006, synth_rx_z_2=-0.006, serialnum='389', secondary_serialnum='394', profile=None, secs=('389', '394'), xyz88_depth=((18.247137, 18.284613, 18.30119, 18.347609, 18.272295, 18.280445, 18.281658, 18.277119, 18.265053, 18.265673, 18.250294, 18.25067, 18.261683, 18.278084, 18.301876, 18.267723, 18.27876, 18.303057, 18.348646, 18.387753, 18.412275, 18.485277, 18.418695, 18.42399, 18.45862, 18.41526, 18.407068, 18.324894, 18.348211, 18.375885, 18.38131, 18.399605, 18.407343, 18.378876, 18.344366, 18.29845, 18.356182, 18.381601, 18.393568, 18.370342, 18.363163, 18.339361, 18.353611, 18.34822, 18.361656, 18.357765, 18.35506, 18.378246, 18.38909, 18.41821, 18.323885, 18.333736, 18.378532, 18.393019, 18.446316, 18.385263, 18.393997, 18.369184, 18.360678, 18.347275, 18.374224, 18.35458, 18.348644, 18.33937, 18.329128, 18.331938, 18.361048, 18.395273, 18.412182, 18.449108, 18.407572, 18.406677, 18.396883, 18.395185, 18.40319, 18.410738, 18.430944, 18.441103, 18.460056, 18.453123, 18.442003, 18.467583, 18.45109, 18.451557, 18.462988, 18.48244, 18.508032, 18.523424, 18.400745, 18.389153, 18.385176, 18.324312, 18.354128, 18.387142, 18.407513, 18.42928, 18.46877, 18.497807, 18.517164, 18.529099, 18.541418, 18.510418, 18.475948, 18.460838, 18.452152, 18.462425, 18.476622, 18.490784, 18.505266, 18.52178, 18.52965, 18.523504, 18.532934, 18.51718, 18.484753, 18.460917, 18.543884, 18.544184, 18.623112, 18.60753, 18.562096, 18.547897, 18.55949, 18.534569, 18.552656, 18.572187, 18.602379, 18.683146, 18.589382, 18.592316, 18.599058, 18.623943, 18.607233, 18.607668, 18.60654, 18.611195, 18.6115, 18.622093, 18.632504, 18.636744, 18.645945, 18.649023, 18.645597, 18.656076, 18.643814, 18.627558, 18.62419, 18.649172, 18.65397, 18.678205, 18.696339, 18.715242, 18.70873, 18.722284, 18.74857, 18.749817, 18.764355, 18.749931, 18.746782, 18.754082, 18.766708, 18.780169, 18.80218, 18.814634, 18.814863, 18.777143, 18.806839, 18.791317, 18.79875, 18.842909, 18.82667, 18.796417, 18.780203, 18.793968, 18.799484, 18.81246, 18.843737, 18.854555, 18.853884, 18.849678, 18.836855, 18.827023, 18.814583, 18.819485, 18.799175, 18.799362, 18.826147, 18.863333, 18.906664, 18.875338, 18.854172, 18.84732, 18.834019, 18.85179, 18.865532, 18.855045, 18.871157, 18.858871, 18.85383, 18.85057, 18.83207, 18.827303, 18.804195, 18.817423, 18.838276, 18.847902, 18.865116, 18.850313, 18.847778, 18.840397, 18.849487, 18.849813, 18.836897, 18.85545, 18.864975, 18.85697, 18.858706, 18.850075, 18.83666, 18.837065, 18.86, 18.864618, 18.882832, 18.900608, 18.908566, 18.877625, 18.900496, 18.871256, 18.880213, 18.889523, 18.894926, 18.89623, 18.886883, 18.883259, 18.877949, 18.868711, 18.841284, 18.845982, 18.842236, 18.849298, 18.863426, 18.849493, 18.855202, 18.856401, 18.805351, 18.821774, 18.860605, 18.874468, 18.843811, 18.84287, 18.824175, 18.82905, 18.843626, 18.821676, 18.817451, 18.85308, 18.863573, 18.787539, 18.80358, 18.78276, 18.779793, 18.787142, 18.807154, 18.833673, 18.847767, 18.842182, 18.841072, 18.872355, 18.909054, 18.83615, 18.816458, 18.802864, 18.830883, 18.863562, 18.906368, 18.937946, 18.931847, 18.868143, 18.848423, 18.85085, 18.851646, 18.864815, 18.891363, 18.91637, 18.920523, 18.842499, 18.944555, 18.836668, 18.859327, 18.881937, 18.903399, 18.933208, 19.00214, 18.957134, 18.887781, 18.909777, 18.931173, 18.932032, 18.938168, 18.97328, 18.863155, 18.954313, 18.963669, 19.102472, 18.917904, 18.843931, 18.806519, 18.796698, 18.832767, 18.849594, 18.851778, 18.851952, 18.864088, 18.89018, 18.898462, 18.838629, 18.843023, 18.81701, 18.823908, 18.83916, 18.853647, 18.870316, 18.878712, 18.87604, 18.870201, 18.821854, 18.824633, 18.829145, 18.828667, 18.828306, 18.828247, 18.824514, 18.815115, 18.808086, 18.803041, 18.800615, 18.797571, 18.792744, 18.778873, 18.772938, 18.819387, 18.81263, 18.787083, 18.805948, 18.821753, 18.820328, 18.810923, 18.794321, 18.779285, 18.789915, 18.803255, 18.792738, 18.890642, 18.80715, 18.858574, 18.835312, 18.81272, 18.795795, 18.801876, 18.861805, 18.853603, 18.684414, 18.869247, 18.855486, 18.848957, 18.842949, 18.83326, 18.823507, 19.032911, 18.875208, 18.862885, 18.901308, 18.89247, 18.86961, 18.846008, 18.831081, 18.832943, 18.839338, 18.843843, 18.833282, 18.812979, 18.839214, 18.868813, 18.872604, 18.846205, 18.878653, 18.852777, 18.915152, 18.900711, 18.874603, 18.855965, 18.832785, 18.818491, 18.84202, 18.879484, 18.91559, 18.886587, 18.857903, 18.90687, 18.908127), (18.805456, 18.818306, 18.829233, 18.80737, 18.808516, 18.79026, 18.818037, 18.84993, 18.879406, 18.823614, 18.833326, 18.757017, 18.791496, 18.804665, 18.792683, 18.794113, 18.82501, 18.856256, 18.861294, 18.848764, 18.82729, 18.803102, 18.806263, 18.819544, 18.859999, 18.898142, 18.89589, 18.848696, 18.830057, 18.805355, 18.803196, 18.83465, 18.858524, 18.878693, 18.90662, 18.936682, 18.951376, 18.883383, 18.849981, 18.800179, 18.794424, 18.830566, 18.838852, 18.840902, 18.854546, 18.886719, 18.90895, 18.873432, 18.906507, 18.920721, 18.875145, 18.864058, 18.891993, 18.90578, 18.90866, 18.894444, 18.891161, 18.86193, 18.890488, 18.908335, 18.919035, 18.907791, 18.899242, 18.906612, 18.936218, 18.929022, 18.917505, 18.946669, 18.949013, 18.952747, 18.932102, 18.92838, 18.933674, 18.939978, 18.953222, 18.964458, 18.962088, 18.957222, 18.95679, 18.953619, 18.952185, 18.992785, 19.009226, 18.984228, 18.985027, 18.989063, 18.979462, 18.996489, 19.03063, 19.01553, 19.005919, 19.002968, 19.02426, 19.001707, 19.003675, 19.030424, 19.06691, 19.170614, 18.913528, 19.032352, 19.060768, 19.045782, 19.036297, 19.032207, 19.066603, 19.097633, 19.093374, 19.10839, 19.121159, 19.110836, 19.09903, 19.103647, 19.125051, 19.135984, 19.131514, 19.111225, 19.092113, 19.097033, 19.170143, 19.222088, 19.276394, 19.212006, 19.205616, 19.162754, 19.120173, 19.088005, 19.136944, 19.238665, 19.244448, 19.233364, 19.207901, 19.203358, 19.205158, 19.196638, 19.20525, 19.220268, 19.232786, 19.212101, 19.180386, 19.20391, 19.248678, 19.246416, 19.266657, 19.298704, 19.295454, 19.269655, 19.26196, 19.255, 19.244015, 19.235151, 19.235973, 19.254166, 19.250116, 19.2779, 19.270176, 19.277657, 19.302612, 19.29475, 19.26847, 19.302849, 19.293137, 19.266558, 19.261417, 19.340137, 19.342205, 19.344065, 19.368801, 19.358244, 19.37486, 19.34836, 19.354116, 19.358244, 19.352365, 19.368034, 19.42716, 19.435656, 19.447542, 19.464972, 19.456001, 19.454798, 19.452995, 19.476475, 19.501043, 19.496763, 19.518656, 19.523115, 19.515984, 19.529675, 19.525803, 19.506674, 19.539848, 19.558655, 19.56403, 19.584396, 19.628096, 19.609524, 19.588362, 19.575094, 19.627586, 19.658777, 19.701633, 19.656124, 19.613306, 19.583626, 19.594118, 19.59917, 19.583231, 19.601349, 19.621286, 19.583576, 19.58242, 19.567736, 19.54083, 19.570461, 19.573652, 19.579914, 19.600721, 19.620094, 19.617388, 19.61424, 19.605186, 19.595558, 19.595163, 19.613712, 19.622604, 19.632856, 19.63148, 19.631338, 19.631264, 19.625647, 19.620378, 19.601667, 19.592382, 19.60675, 19.627626, 19.634111, 19.651913, 19.710016, 19.680069, 19.663862, 19.668768, 19.655298, 19.63074, 19.62477, 19.551254, 19.626007, 19.677914, 19.69108, 19.683502, 19.683956, 19.685436, 19.674759, 19.69391, 19.678175, 19.698097, 19.714495, 19.700312, 19.685665, 19.715364, 19.723837, 19.740627, 19.73665, 19.743864, 19.767233, 19.756708, 19.759182, 19.765139, 19.758862, 19.769138, 19.76565, 19.7686, 19.753525, 19.746246, 19.751886, 19.767647, 19.772789, 19.772533, 19.784615, 19.785587, 19.79483, 19.791842, 19.779015, 19.73371, 19.77437, 19.85969, 19.835402, 19.827738, 19.816893, 19.796331, 19.778946, 19.775902, 19.792942, 19.794268, 19.821522, 19.805244, 19.809793, 19.817791, 19.821552, 19.831848, 19.823166, 19.845934, 19.832651, 19.835276, 19.759981, 19.81395, 19.839087, 19.85291, 19.875832, 19.87014, 19.864529, 19.850185, 19.843042, 19.833036, 19.854761, 19.853195, 19.869005, 19.886543, 19.865734, 19.869926, 19.864704, 19.84026, 19.857107, 19.867006, 19.871775, 19.880077, 19.877163, 19.86347, 19.85752, 19.893219, 19.873465, 19.906199, 19.880722, 19.841803, 19.810846, 19.821762, 19.88004, 19.943148, 19.88396, 19.881542, 19.900843, 19.829699, 19.964218, 19.939976, 19.931698, 19.911583, 19.919834, 19.927183, 19.913584, 19.907955, 19.914383, 19.915161, 19.939138, 19.905598, 19.927917, 19.904175, 19.88414, 19.893347, 19.904055, 19.941832, 19.93515, 19.902332, 19.917835, 19.86913, 19.93424, 19.931635, 19.918087, 19.939964, 19.96227, 19.948801, 19.923983, 19.909658, 19.904167, 19.916973, 19.91413, 19.90718, 19.855768, 19.957058, 19.919233, 19.91201, 19.873272, 19.84037, 19.87343, 19.86768, 19.849201, 19.873407, 19.819332, 19.905298, 19.909233, 19.912344, 19.95714, 19.949686, 19.913317, 19.91308, 19.945606, 19.948954, 19.94659, 19.8959, 19.958593, 19.924044, 19.980381)), xyz88_acrosstrack=((-60.08836, -60.04249, -59.944885, -59.921623, -59.598003, -59.48148, -59.348495, -59.202095, -59.038147, -58.883575, -58.71321, -58.581806, -58.4767, -58.38504, -58.289795, -58.078274, -57.975456, -57.88322, -57.863186, -57.80659, -57.73708, -57.76051, -57.457184, -57.344105, -57.279064, -57.03351, -56.891132, -56.558628, -56.47039, -56.3925, -56.264214, -56.16588, -56.044098, -55.84115, -55.625744, -55.38596, -55.37953, -55.300922, -55.192753, -54.98802, -54.838974, -54.65412, -54.53507, -54.392387, -54.272957, -54.135002, -53.982002, -53.90403, -53.78167, -53.699173, -53.353428, -53.24946, -53.202415, -53.091442, -53.062843, -52.794178, -52.673218, -52.48298, -52.32777, -52.1463, -52.066154, -51.890614, -51.72746, -51.575157, -51.421753, -51.279255, -51.19071, -51.12919, -51.017002, -50.94541, -50.734135, -50.588776, -50.426735, -50.281624, -50.15641, -50.03103, -49.930996, -49.81203, -49.695435, -49.544987, -49.38743, -49.285835, -49.119816, -48.972103, -48.860737, -48.750385, -48.652153, -48.549976, -48.17773, -48.013523, -47.864403, -47.611965, -47.526848, -47.434113, -47.332798, -47.23456, -47.155018, -47.07078, -46.956203, -46.84261, -46.716976, -46.515995, -46.323532, -46.153038, -45.994865, -45.870514, -45.753685, -45.62477, -45.509903, -45.399166, -45.26196, -45.114513, -44.981777, -44.820187, -44.619827, -44.435158, -44.427494, -44.284214, -44.270023, -44.10231, -43.887577, -43.713036, -43.592583, -43.403282, -43.294933, -43.17817, -43.07886, -43.059067, -42.767933, -42.628708, -42.49629, -42.392525, -42.225986, -42.075916, -41.935234, -41.793594, -41.646465, -41.515667, -41.38548, -41.247097, -41.11693, -40.97872, -40.82197, -40.696426, -40.529198, -40.367428, -40.215324, -40.10428, -39.965633, -39.85505, -39.73668, -39.610638, -39.460045, -39.328545, -39.21521, -39.078068, -38.95052, -38.776165, -38.62687, -38.492752, -38.357643, -38.233414, -38.112278, -37.97965, -37.832325, -37.636703, -37.529057, -37.36529, -37.223057, -37.135727, -36.96608, -36.780674, -36.612793, -36.483646, -36.33746, -36.20924, -36.09567, -35.95869, -35.809258, -35.65578, -35.494637, -35.338223, -35.17253, -35.027832, -34.86334, -34.714645, -34.590282, -34.485428, -34.387825, -34.202522, -34.029827, -33.873928, -33.712444, -33.58403, -33.44635, -33.29136, -33.15822, -32.99697, -32.844418, -32.688244, -32.523754, -32.368687, -32.196846, -32.06196, -31.935387, -31.79253, -31.664219, -31.500288, -31.34836, -31.194014, -31.050005, -30.905092, -30.743307, -30.611122, -30.471773, -30.311274, -30.16726, -30.009583, -29.849106, -29.701733, -29.568834, -29.427067, -29.292019, -29.157482, -29.009592, -28.837763, -28.704922, -28.531862, -28.39017, -28.249731, -28.10205, -27.957523, -27.80038, -27.644201, -27.493078, -27.33525, -27.165672, -27.020403, -26.870234, -26.72382, -26.583258, -26.424576, -26.280338, -26.134092, -25.950022, -25.811419, -25.687923, -25.544537, -25.37433, -25.228455, -25.06383, -24.919157, -24.776718, -24.61821, -24.462471, -24.334799, -24.1935, -24.001019, -23.860773, -23.697302, -23.548779, -23.402443, -23.263445, -23.12836, -22.98354, -22.833921, -22.683392, -22.5491, -22.413734, -22.23266, -22.073523, -21.918268, -21.778212, -21.644455, -21.511375, -21.373873, -21.22159, -21.047558, -20.888494, -20.738909, -20.589472, -20.445263, -20.302624, -20.163485, -20.01394, -19.837936, -19.721876, -19.535303, -19.391117, -19.250814, -19.106878, -18.962036, -18.831656, -18.666864, -18.500612, -18.355423, -18.210304, -18.060566, -17.909067, -17.76781, -17.592363, -17.460062, -17.310808, -17.186111, -17.001617, -16.839422, -16.6814, -16.532015, -16.386572, -16.238209, -16.08798, -15.937776, -15.7892475, -15.642308, -15.493425, -15.338358, -15.186566, -15.035888, -14.888052, -14.737481, -14.590066, -14.43935, -14.288173, -14.139923, -13.988426, -13.836522, -13.688956, -13.5380745, -13.387167, -13.239521, -13.088548, -12.937637, -12.79023, -12.639466, -12.488578, -12.340746, -12.18955, -12.041668, -11.8944845, -11.743233, -11.589597, -11.441035, -11.294603, -11.142532, -10.99028, -10.83996, -10.693901, -10.545443, -10.399969, -10.246428, -10.0951805, -9.947906, -9.778569, -9.64511, -9.483239, -9.340288, -9.193593, -9.0488205, -8.898062, -8.732843, -8.584109, -8.482261, -8.279783, -8.134508, -7.9866805, -7.838151, -7.6937976, -7.545345, -7.3281755, -7.230167, -7.0840106, -6.9194818, -6.7742825, -6.6298947, -6.4891, -6.344575, -6.196705, -6.042412, -5.89177, -5.7464805, -5.604633, -5.446101, -5.280927, -5.1298327, -4.9915085, -4.829499, -4.6894913, -4.510823, -4.3675575, -4.229341, -4.090947, -3.9500942, -3.8081741, -3.6456454, -3.478547, -3.3106425, -3.1726325, -3.042469, -2.86362, -2.714639), (-9.552668, -9.417009, -9.281006, -9.123426, -8.983848, -8.830525, -8.70268, -8.57328, -8.447218, -8.274377, -8.135853, -7.955903, -7.831391, -7.69306, -7.5436354, -7.401393, -7.2732673, -7.145634, -7.002958, -6.853476, -6.7012033, -6.548905, -6.4050345, -6.2697215, -6.14179, -6.0130987, -5.8693566, -5.70606, -5.5582194, -5.405504, -5.261649, -5.1298685, -4.992121, -4.857103, -4.721237, -4.586236, -4.44678, -4.2834926, -4.128134, -3.9728482, -3.827243, -3.6932695, -3.552186, -3.4099548, -3.2675066, -3.1331117, -2.9930189, -2.8405483, -2.7068458, -2.5658417, -2.4100373, -2.2651758, -2.1278462, -1.9846623, -1.8398554, -1.6960595, -1.5510652, -1.4027891, -1.262954, -1.1216264, -0.97945434, -0.8316235, -0.68780917, -0.54585814, -0.40263104, -0.25951865, -0.11306588, 0.030420648, 0.1724333, 0.3175933, 0.46372032, 0.605566, 0.75033444, 0.89510524, 1.0398505, 1.1847801, 1.3265246, 1.4715093, 1.6165286, 1.7615105, 1.9065621, 2.053426, 2.196496, 2.3408742, 2.4866633, 2.6295245, 2.7748344, 2.919177, 3.068923, 3.2110102, 3.3570378, 3.5006015, 3.6474135, 3.788989, 3.933956, 4.0829287, 4.234148, 4.3972516, 4.4971795, 4.6641026, 4.812971, 4.9542522, 5.1002645, 5.2442517, 5.3934865, 5.5464053, 5.692098, 5.839326, 5.990242, 6.132469, 6.2746773, 6.421679, 6.573969, 6.7205844, 6.86704, 7.0056715, 7.144962, 7.29216, 7.4620957, 7.6231065, 7.7863417, 7.9137917, 8.057705, 8.185293, 8.316804, 8.452311, 8.615385, 8.800579, 8.949817, 9.089166, 9.227064, 9.370271, 9.516917, 9.659891, 9.807173, 9.962299, 10.113322, 10.249869, 10.381722, 10.536483, 10.706986, 10.851526, 11.008273, 11.168046, 11.315083, 11.446831, 11.588781, 11.731939, 11.873719, 12.013091, 12.158728, 12.3152685, 12.460139, 12.624648, 12.764892, 12.91515, 13.07717, 13.22028, 13.348098, 13.514901, 13.654964, 13.784958, 13.929636, 14.126093, 14.273302, 14.421423, 14.586308, 14.72316, 14.884936, 15.0124445, 15.163703, 15.309366, 15.454383, 15.611126, 15.801578, 15.955822, 16.113863, 16.272068, 16.411083, 16.556494, 16.70311, 16.870998, 17.035646, 17.178238, 17.343334, 17.495405, 17.638308, 17.794638, 17.943142, 18.073746, 18.250479, 18.410269, 18.565594, 18.728695, 18.914776, 19.04633, 19.176361, 19.31446, 19.508091, 19.683685, 19.87109, 19.977144, 20.086216, 20.208439, 20.36377, 20.515007, 20.646717, 20.813131, 20.982008, 21.088066, 21.23868, 21.369633, 21.488857, 21.667486, 21.812895, 21.9698, 22.13533, 22.308805, 22.45265, 22.59707, 22.736115, 22.867992, 23.018541, 23.18284, 23.338493, 23.496887, 23.643326, 23.792261, 23.942392, 24.078373, 24.216587, 24.34812, 24.483511, 24.647911, 24.82139, 24.970638, 25.142157, 25.356527, 25.465038, 25.59968, 25.752737, 25.875303, 25.993532, 26.135677, 26.184547, 26.431377, 26.64211, 26.804651, 26.941511, 27.08979, 27.24049, 27.376247, 27.54306, 27.674109, 27.844288, 28.010998, 28.14723, 28.273962, 28.452442, 28.61296, 28.786196, 28.931826, 29.083979, 29.259932, 29.399578, 29.548283, 29.703, 29.841234, 30.004307, 30.148586, 30.292479, 30.421741, 30.55243, 30.714062, 30.880867, 31.03298, 31.178022, 31.342669, 31.491629, 31.654215, 31.799215, 31.93005, 31.99982, 32.215157, 32.490017, 32.59512, 32.739025, 32.866764, 32.979843, 33.098656, 33.24119, 33.417046, 33.556187, 33.750935, 33.875973, 34.02322, 34.189922, 34.337845, 34.49757, 34.626656, 34.822445, 34.94566, 35.09652, 35.102585, 35.34232, 35.534416, 35.708378, 35.885445, 36.027905, 36.157444, 36.286522, 36.414913, 36.55322, 36.734295, 36.875134, 37.047848, 37.22477, 37.33384, 37.488674, 37.62741, 37.731983, 37.897594, 38.066574, 38.211964, 38.38005, 38.512985, 38.642086, 38.770866, 38.994278, 39.09886, 39.303314, 39.398506, 39.46855, 39.554127, 39.720528, 39.979248, 40.249023, 40.283077, 40.41118, 40.599174, 40.610783, 41.010563, 41.116123, 41.236763, 41.351727, 41.506676, 41.660686, 41.790962, 41.920456, 42.07508, 42.219086, 42.41124, 42.48675, 42.67737, 42.774147, 42.879078, 43.045254, 43.215527, 43.42469, 43.560577, 43.642235, 43.807343, 43.85639, 44.12831, 44.27674, 44.38322, 44.58572, 44.77077, 44.879536, 44.984055, 45.092033, 45.219795, 45.38824, 45.523285, 45.670288, 45.699486, 46.067112, 46.12765, 46.2359, 46.295013, 46.367443, 46.588657, 46.72348, 46.808937, 47.013012, 47.03991, 47.36529, 47.52615, 47.685997, 47.92084, 48.036118, 48.10704, 48.240036, 48.47253, 48.61549, 48.74574, 48.785637, 49.070538, 49.12667, 49.398777)), xyz88_alongtrack=((0.7486924, 0.74938226, 0.7499608, 0.75069356, 0.75078005, 0.7513034, 0.7517863, 0.7522347, 0.75263816, 0.75318384, 0.7535609, 0.7540199, 0.754534, 0.75507486, 0.7557283, 0.7559811, 0.75648236, 0.7571278, 0.7578185, 0.7585428, 0.75911033, 0.76002413, 0.76013374, 0.7605818, 0.7612655, 0.7614923, 0.7618511, 0.76183826, 0.7624396, 0.7630641, 0.7635533, 0.7641156, 0.76461124, 0.76488507, 0.76511693, 0.7652739, 0.7660567, 0.7666406, 0.7671391, 0.767477, 0.767849, 0.7681136, 0.7686688, 0.76903933, 0.7695812, 0.76995325, 0.77038485, 0.7709209, 0.7714305, 0.772053, 0.77187926, 0.7723153, 0.7730268, 0.77353925, 0.77430063, 0.7743128, 0.7747755, 0.7750136, 0.775354, 0.7757061, 0.77627236, 0.7765251, 0.7769116, 0.7772238, 0.7775251, 0.77795565, 0.7785595, 0.7791499, 0.77966386, 0.7803105, 0.7803729, 0.7807519, 0.7810647, 0.78142846, 0.7818548, 0.7822737, 0.78277665, 0.7832056, 0.7837313, 0.78403157, 0.7842977, 0.7848562, 0.78507495, 0.785446, 0.78585404, 0.7863512, 0.78688806, 0.7873128, 0.7867737, 0.78702736, 0.78733087, 0.78721654, 0.787755, 0.7883446, 0.7888063, 0.78927433, 0.7898988, 0.7904124, 0.7908804, 0.7912598, 0.79166657, 0.79174656, 0.791767, 0.79195356, 0.7921825, 0.79254806, 0.7929384, 0.793349, 0.79373205, 0.7941259, 0.7944738, 0.79468673, 0.7950359, 0.7951657, 0.7951853, 0.79526424, 0.7961542, 0.7964075, 0.79725915, 0.79738086, 0.797267, 0.7974069, 0.7977212, 0.7977663, 0.79812074, 0.79849917, 0.7989552, 0.7998001, 0.7992803, 0.799508, 0.7997601, 0.80014896, 0.8002069, 0.80040765, 0.8005767, 0.8007991, 0.80098134, 0.8012389, 0.8014894, 0.80168563, 0.80191547, 0.80209136, 0.80222034, 0.8024436, 0.80249035, 0.80249, 0.80259526, 0.8029203, 0.80307883, 0.8033865, 0.80364, 0.8039007, 0.8039457, 0.8041514, 0.8044528, 0.8045425, 0.804738, 0.8046997, 0.8047411, 0.80486006, 0.8050191, 0.8051754, 0.8053971, 0.8055357, 0.8055697, 0.80529284, 0.8055508, 0.80543953, 0.8055067, 0.80586207, 0.80572605, 0.8054709, 0.80532175, 0.80540687, 0.8054175, 0.8054831, 0.8056865, 0.80571884, 0.8056522, 0.80555004, 0.8053728, 0.805213, 0.8050211, 0.8049608, 0.8046977, 0.8045853, 0.8046724, 0.80484104, 0.80505115, 0.8046538, 0.80433035, 0.80411345, 0.8038386, 0.8038013, 0.80371714, 0.8034435, 0.803363, 0.8030516, 0.8027901, 0.8025248, 0.8021421, 0.80185026, 0.80140805, 0.8012416, 0.80112636, 0.8009036, 0.8007441, 0.8003169, 0.7999747, 0.79958963, 0.79930913, 0.79896766, 0.7985031, 0.79827, 0.7979598, 0.7974909, 0.7971056, 0.79661834, 0.7960875, 0.7956521, 0.7953586, 0.7949374, 0.79459023, 0.7942304, 0.7937679, 0.79303396, 0.79266506, 0.79190904, 0.7914211, 0.7909266, 0.7903744, 0.7898044, 0.7891271, 0.7884625, 0.7877985, 0.78707665, 0.7862199, 0.7855774, 0.78486735, 0.78419876, 0.7835678, 0.78273696, 0.78202915, 0.78128123, 0.78015345, 0.77946323, 0.77890766, 0.77815115, 0.77709657, 0.7762504, 0.77522874, 0.774373, 0.77353966, 0.7724957, 0.77149653, 0.77075696, 0.7698513, 0.76838833, 0.76746696, 0.7662871, 0.76523113, 0.76419336, 0.76321477, 0.7622586, 0.761187, 0.7600247, 0.7588437, 0.75782424, 0.75678426, 0.75518596, 0.75382656, 0.7524879, 0.75131315, 0.75017804, 0.7490398, 0.74782753, 0.74641854, 0.7447286, 0.7431997, 0.7417588, 0.74029577, 0.7388716, 0.73744977, 0.7360397, 0.734487, 0.7325896, 0.7313941, 0.7293232, 0.72774214, 0.7261805, 0.724554, 0.7228943, 0.7213843, 0.7194303, 0.71743274, 0.7156686, 0.7138803, 0.7120106, 0.7100928, 0.70827585, 0.70601773, 0.70425487, 0.7022617, 0.7005341, 0.69807315, 0.6958541, 0.69365287, 0.6915356, 0.6894273, 0.6872592, 0.68504435, 0.68280417, 0.6805554, 0.67829555, 0.67598987, 0.6736049, 0.6712019, 0.6688099, 0.6664141, 0.6639404, 0.6614918, 0.65895927, 0.6563971, 0.6538657, 0.65125364, 0.6486398, 0.6460347, 0.64334214, 0.640625, 0.6379395, 0.6351655, 0.6323676, 0.62961215, 0.6267643, 0.62388444, 0.62103385, 0.6180911, 0.61518705, 0.61227673, 0.609252, 0.6061139, 0.60308915, 0.60009396, 0.5969255, 0.593728, 0.5905548, 0.5874501, 0.58427167, 0.5811302, 0.5777731, 0.57443804, 0.5711758, 0.56734765, 0.564373, 0.5606783, 0.5574146, 0.5540389, 0.55068034, 0.54715145, 0.54324687, 0.539717, 0.5372979, 0.5324143, 0.52889264, 0.5252844, 0.52163434, 0.5180627, 0.51436526, 0.5089714, 0.5064557, 0.5027428, 0.49855632, 0.49482208, 0.4910789, 0.4874051, 0.48361602, 0.47972724, 0.47564957, 0.47164467, 0.46774855, 0.46391433, 0.45965084, 0.45518857, 0.45106167, 0.44723046, 0.44279376, 0.43887442, 0.43397096, 0.4299339, 0.4260018, 0.4220557, 0.41801274, 0.4139335, 0.40930724, 0.40455434, 0.3997567, 0.39568597, 0.39182585, 0.38667685, 0.3822889), (0.6291171, 0.62772375, 0.62631464, 0.6246244, 0.6231454, 0.62148553, 0.62014633, 0.6187852, 0.6174472, 0.61549115, 0.6139743, 0.6118972, 0.6105411, 0.6089985, 0.6072959, 0.6056764, 0.60423356, 0.6027859, 0.6011316, 0.59937304, 0.5975639, 0.5957414, 0.5940261, 0.59240824, 0.5908843, 0.58933806, 0.58757436, 0.5855354, 0.58368963, 0.58176845, 0.57995564, 0.57829595, 0.5765451, 0.57481563, 0.57306486, 0.5713131, 0.56948674, 0.5673175, 0.5652464, 0.56316113, 0.56119835, 0.5593834, 0.5574566, 0.5555006, 0.55352837, 0.5516543, 0.5496873, 0.5475355, 0.54563093, 0.5436106, 0.5413708, 0.5392705, 0.5372598, 0.53515184, 0.53300774, 0.53086835, 0.5286946, 0.52646375, 0.52433103, 0.5221642, 0.5199723, 0.5176852, 0.5154451, 0.5132145, 0.5109415, 0.5086689, 0.5063301, 0.5040085, 0.5017064, 0.49933812, 0.49694887, 0.4946086, 0.49220166, 0.4897793, 0.48733947, 0.48488238, 0.48247057, 0.4799899, 0.47749174, 0.47498047, 0.47245228, 0.46985924, 0.4673285, 0.46477753, 0.46217558, 0.45960996, 0.45699114, 0.4543643, 0.45161742, 0.44901514, 0.44632345, 0.44366008, 0.4409129, 0.43826467, 0.4355297, 0.43269625, 0.42980227, 0.42664585, 0.4247934, 0.42153, 0.41862586, 0.41586617, 0.4129981, 0.4101544, 0.40718567, 0.40413025, 0.40121037, 0.3982432, 0.39518782, 0.3922967, 0.38939247, 0.38637567, 0.38323602, 0.38020006, 0.37715346, 0.37425566, 0.37133098, 0.3682294, 0.36464328, 0.36122987, 0.3577566, 0.35500997, 0.35191092, 0.34914145, 0.34627476, 0.34331197, 0.3397645, 0.3357408, 0.33245447, 0.3293666, 0.32629177, 0.3230977, 0.31981853, 0.3166037, 0.313291, 0.30979386, 0.3063762, 0.303252, 0.30021513, 0.2966869, 0.29280362, 0.28946632, 0.28585625, 0.28217635, 0.27874744, 0.2756417, 0.2723057, 0.26893163, 0.26557496, 0.26226738, 0.258813, 0.25511092, 0.2516485, 0.24774839, 0.24437195, 0.24076639, 0.23689266, 0.23341803, 0.23027684, 0.22627309, 0.22284164, 0.21961954, 0.21606436, 0.21137191, 0.20774901, 0.20409445, 0.20005819, 0.19664256, 0.19265069, 0.18942001, 0.18565197, 0.18201254, 0.17836066, 0.17445107, 0.16977741, 0.1658994, 0.16192484, 0.15795086, 0.15439619, 0.15068942, 0.14694293, 0.14270622, 0.1385478, 0.13487618, 0.1306852, 0.12677771, 0.12306937, 0.11906212, 0.1152034, 0.11176047, 0.10725646, 0.10314671, 0.09910878, 0.09490419, 0.09016004, 0.086654656, 0.083175145, 0.079501025, 0.074559815, 0.070022225, 0.06520324, 0.062249944, 0.05921938, 0.05587649, 0.05178005, 0.047768828, 0.044202, 0.039818905, 0.035370674, 0.032398425, 0.028354695, 0.024785351, 0.021482285, 0.016779698, 0.012870749, 0.008657896, 0.0042611156, -0.00036098997, -0.0042694476, -0.008200066, -0.012012364, -0.015636798, -0.019737698, -0.024142781, -0.028355144, -0.03264135, -0.03665254, -0.040731534, -0.044847555, -0.048602838, -0.052422058, -0.056118865, -0.05988595, -0.064354576, -0.06904957, -0.07314254, -0.07780495, -0.08347805, -0.08661729, -0.090422854, -0.09464767, -0.09811337, -0.10151302, -0.10549583, -0.10719968, -0.113728896, -0.1193629, -0.1238389, -0.12770006, -0.13184538, -0.13605702, -0.1399128, -0.14449644, -0.14825188, -0.15293269, -0.15753673, -0.16144039, -0.1650824, -0.16995998, -0.17444256, -0.17924443, -0.18337731, -0.1876395, -0.1924932, -0.19650042, -0.20069866, -0.20505166, -0.2090054, -0.21357813, -0.21769422, -0.22176722, -0.22552502, -0.22928347, -0.23385458, -0.23852004, -0.24282813, -0.24696718, -0.25159925, -0.25584844, -0.26044282, -0.26460642, -0.26842344, -0.2706808, -0.2766156, -0.28400102, -0.28715652, -0.29133096, -0.29506233, -0.298432, -0.30194992, -0.30606747, -0.31102633, -0.31502455, -0.32047084, -0.32417277, -0.3283914, -0.33315226, -0.33739933, -0.3419492, -0.34573233, -0.35125187, -0.35489786, -0.359247, -0.3598921, -0.36649784, -0.37190637, -0.37686262, -0.3818532, -0.3860231, -0.38981938, -0.39365986, -0.39743608, -0.40152088, -0.40664652, -0.41075423, -0.41567838, -0.42071563, -0.42402893, -0.42851368, -0.43259278, -0.43580425, -0.44052467, -0.4453912, -0.4496048, -0.45445943, -0.4583636, -0.46222985, -0.46603617, -0.4723307, -0.47552574, -0.48128885, -0.48425078, -0.48656937, -0.48928997, -0.49409366, -0.5012796, -0.5087581, -0.51016855, -0.5139464, -0.51933324, -0.52017206, -0.5309779, -0.5342519, -0.53785825, -0.5413826, -0.5458841, -0.55036557, -0.5542987, -0.55815333, -0.56266344, -0.56690234, -0.5723951, -0.5748641, -0.5803261, -0.5833541, -0.5865971, -0.5914368, -0.59638774, -0.602291, -0.6063558, -0.6090109, -0.6137789, -0.61558926, -0.6231522, -0.6275642, -0.63081694, -0.63664985, -0.64196414, -0.6452871, -0.64857054, -0.65187883, -0.65570825, -0.660607, -0.6646344, -0.6690489, -0.6703059, -0.68044853, -0.68253475, -0.68580496, -0.6878576, -0.69026226, -0.69658315, -0.7006356, -0.7033193, -0.709202, -0.710421, -0.7194361, -0.72419316, -0.72892773, -0.735571, -0.7390627, -0.74146056, -0.74542516, -0.7520985, -0.75633377, -0.76023597, -0.76182663, -0.7698284, -0.7717773, -0.77944946))): if profile is None: profile = {'profile_1563319288': '[[0.0, 1541.800048828125], [3.06, 1541.800048828125], [3.13, 1542.0], ' '[3.17, 1541.9000244140625], [3.44, 1542.0], [4.4, 1541.7000732421875], ' '[5.22, 1540.5], [5.64, 1540.300048828125], [7.68, 1539.5999755859375], ' '[8.64, 1539.0], [9.78, 1538.800048828125], [12.3, 1537.5], ' '[12.34, 1537.300048828125], [13.1, 1536.800048828125], ' '[13.46, 1536.300048828125], [13.58, 1536.0], [14.01, 1535.300048828125], ' '[14.1, 1534.800048828125], [14.44, 1534.2000732421875], ' '[14.71, 1533.800048828125], [14.8, 1533.5999755859375], ' '[15.15, 1533.300048828125], [16.88, 1532.7000732421875], [20.07, 1532.5], ' '[12000.0, 1675.800048828125]]'} self.client = None self.synth_ra_time = synth_ra_time self.synth_att_time = synth_att_time self.synth_nav_time = synth_nav_time self.synth_delay = synth_delay self.synth_frequency = synth_frequency self.synth_txsector_beam = synth_txsector_beam self.synth_beampointingangle = synth_beampointingangle self.synth_qualityfactor = synth_qualityfactor self.synth_counter = synth_counter self.synth_soundspeed = synth_soundspeed self.synth_tiltangle = synth_tiltangle self.synth_traveltime = synth_traveltime self.synth_ntx = synth_ntx self.synth_heave = synth_heave self.synth_roll = synth_roll self.synth_pitch = synth_pitch self.synth_yaw = synth_yaw self.synth_altitude = synth_altitude self.synth_latitude = synth_latitude self.synth_longitude = synth_longitude self.xyz88_depth = xyz88_depth self.xyz88_alongtrack = xyz88_alongtrack self.xyz88_acrosstrack = xyz88_acrosstrack self.secs = secs self.serialnum = serialnum self.secondary_serialnum = secondary_serialnum self.profile = profile self.xyzrph = {'beam_opening_angle': {str(synth_xyztime): 1.0}, 'heading_patch_error': {str(synth_xyztime): 0.5}, 'heading_sensor_error': {str(synth_xyztime): 0.02}, 'heave_error': {str(synth_xyztime): 0.05}, 'horizontal_positioning_error': {str(synth_xyztime): 1.5}, 'imu_h': {str(synth_xyztime): 0.0}, 'latency': {str(synth_xyztime): 0.0}, 'imu_p': {str(synth_xyztime): 0.0}, 'imu_r': {str(synth_xyztime): 0.0}, 'imu_x': {str(synth_xyztime): 0.0}, 'imu_y': {str(synth_xyztime): 0.0}, 'imu_z': {str(synth_xyztime): 0.0}, 'latency_patch_error': {str(synth_xyztime): 0.0}, 'pitch_patch_error': {str(synth_xyztime): 0.1}, 'pitch_sensor_error': {str(synth_xyztime): 0.0005}, 'roll_patch_error': {str(synth_xyztime): 0.1}, 'roll_sensor_error': {str(synth_xyztime): 0.0005}, 'tx_to_antenna_x': {str(synth_xyztime): 0.0}, 'tx_to_antenna_y': {str(synth_xyztime): 0.0}, 'tx_to_antenna_z': {str(synth_xyztime): 0.0}, 'separation_model_error': {str(synth_xyztime): 0.0}, 'surface_sv_error': {str(synth_xyztime): 0.5}, 'timing_latency_error': {str(synth_xyztime): 0.001}, 'vertical_positioning_error': {str(synth_xyztime): 1.0}, 'vessel_speed_error': {str(synth_xyztime): 0.1}, 'waterline_error': {str(synth_xyztime): -0.640}, 'x_offset_error': {str(synth_xyztime): 0.2}, 'y_offset_error': {str(synth_xyztime): 0.2}, 'z_offset_error': {str(synth_xyztime): 0.2}, 'rx_port_r': {str(synth_xyztime): synth_rx_port_mountroll}, 'rx_port_p': {str(synth_xyztime): synth_rx_port_mountpitch}, 'rx_port_h': {str(synth_xyztime): synth_rx_port_mountyaw}, 'rx_stbd_r': {str(synth_xyztime): synth_rx_stbd_mountroll}, 'rx_stbd_p': {str(synth_xyztime): synth_rx_stbd_mountpitch}, 'rx_stbd_h': {str(synth_xyztime): synth_rx_stbd_mountyaw}, 'tx_port_r': {str(synth_xyztime): synth_tx_port_mountroll}, 'tx_port_p': {str(synth_xyztime): synth_tx_port_mountpitch}, 'tx_port_h': {str(synth_xyztime): synth_tx_port_mountyaw}, 'tx_stbd_r': {str(synth_xyztime): synth_tx_stbd_mountroll}, 'tx_stbd_p': {str(synth_xyztime): synth_tx_stbd_mountpitch}, 'tx_stbd_h': {str(synth_xyztime): synth_tx_stbd_mountyaw}, 'tx_port_x': {str(synth_xyztime): synth_tx_port_x}, 'tx_port_y': {str(synth_xyztime): synth_tx_port_y}, 'tx_port_z': {str(synth_xyztime): synth_tx_port_z}, 'tx_stbd_x': {str(synth_xyztime): synth_tx_stbd_x}, 'tx_stbd_y': {str(synth_xyztime): synth_tx_stbd_y}, 'tx_stbd_z': {str(synth_xyztime): synth_tx_stbd_z}, 'tx_port_x_0': {str(synth_xyztime): synth_tx_x_0}, 'tx_port_x_1': {str(synth_xyztime): synth_tx_x_1}, 'tx_port_x_2': {str(synth_xyztime): synth_tx_x_2}, 'tx_port_y_0': {str(synth_xyztime): synth_tx_y_0}, 'tx_port_y_1': {str(synth_xyztime): synth_tx_y_1}, 'tx_port_y_2': {str(synth_xyztime): synth_tx_y_2}, 'tx_port_z_0': {str(synth_xyztime): synth_tx_z_0}, 'tx_port_z_1': {str(synth_xyztime): synth_tx_z_1}, 'tx_port_z_2': {str(synth_xyztime): synth_tx_z_2}, 'tx_stbd_x_0': {str(synth_xyztime): synth_tx_x_0}, 'tx_stbd_x_1': {str(synth_xyztime): synth_tx_x_1}, 'tx_stbd_x_2': {str(synth_xyztime): synth_tx_x_2}, 'tx_stbd_y_0': {str(synth_xyztime): synth_tx_y_0}, 'tx_stbd_y_1': {str(synth_xyztime): synth_tx_y_1}, 'tx_stbd_y_2': {str(synth_xyztime): synth_tx_y_2}, 'tx_stbd_z_0': {str(synth_xyztime): synth_tx_z_0}, 'tx_stbd_z_1': {str(synth_xyztime): synth_tx_z_1}, 'tx_stbd_z_2': {str(synth_xyztime): synth_tx_z_2}, 'rx_port_x': {str(synth_xyztime): synth_rx_port_x}, 'rx_port_y': {str(synth_xyztime): synth_rx_port_y}, 'rx_port_z': {str(synth_xyztime): synth_rx_port_z}, 'rx_stbd_x': {str(synth_xyztime): synth_rx_stbd_x}, 'rx_stbd_y': {str(synth_xyztime): synth_rx_stbd_y}, 'rx_stbd_z': {str(synth_xyztime): synth_rx_stbd_z}, 'rx_port_x_0': {str(synth_xyztime): synth_rx_x_0}, 'rx_port_x_1': {str(synth_xyztime): synth_rx_x_1}, 'rx_port_x_2': {str(synth_xyztime): synth_rx_x_2}, 'rx_port_y_0': {str(synth_xyztime): synth_rx_y_0}, 'rx_port_y_1': {str(synth_xyztime): synth_rx_y_1}, 'rx_port_y_2': {str(synth_xyztime): synth_rx_y_2}, 'rx_port_z_0': {str(synth_xyztime): synth_rx_z_0}, 'rx_port_z_1': {str(synth_xyztime): synth_rx_z_1}, 'rx_port_z_2': {str(synth_xyztime): synth_rx_z_2}, 'rx_stbd_x_0': {str(synth_xyztime): synth_rx_x_0}, 'rx_stbd_x_1': {str(synth_xyztime): synth_rx_x_1}, 'rx_stbd_x_2': {str(synth_xyztime): synth_rx_x_2}, 'rx_stbd_y_0': {str(synth_xyztime): synth_rx_y_0}, 'rx_stbd_y_1': {str(synth_xyztime): synth_rx_y_1}, 'rx_stbd_y_2': {str(synth_xyztime): synth_rx_y_2}, 'rx_stbd_z_0': {str(synth_xyztime): synth_rx_z_0}, 'rx_stbd_z_1': {str(synth_xyztime): synth_rx_z_1}, 'rx_stbd_z_2': {str(synth_xyztime): synth_rx_z_2}, 'waterline': {str(synth_xyztime): synth_waterline}, } self.raw_ping = self.construct_raw_ping() self.raw_att = self.construct_rawattitude() def construct_raw_ping(self): """ Take the provided real data built into this class and generate new raw_ping data. Returns ------- dataset: list of xarray DataSet objects that represent the raw_ping data you would get when running xarray_conversion normally. """ sec_vals = self.secs dataset = [] for cnt, sec in enumerate(sec_vals): tme_vals = self.synth_ra_time[cnt] num_beams = int(len(self.synth_beampointingangle[cnt])) bm_vals = [i for i in range(num_beams)] tme_coord = xr.DataArray(np.array([tme_vals]), dims=['time'], coords={'time': np.array([tme_vals])}) beam_coord = xr.DataArray(np.array(bm_vals), dims=['beam'], coords={'beam': np.array(bm_vals)}) ntx = xr.DataArray(np.array([self.synth_ntx[cnt]]), dims=['time'], coords={'time': tme_coord}) counter = xr.DataArray(np.array([self.synth_counter[cnt]]), dims=['time'], coords={'time': tme_coord}) soundspeed = xr.DataArray(np.array([self.synth_soundspeed[cnt]]), dims=['time'], coords={'time': tme_coord}) tiltangle_data = np.array(list(self.synth_tiltangle[cnt])) if tiltangle_data.ndim == 1: tiltangle_data = np.expand_dims(tiltangle_data, axis=0) tiltangle = xr.DataArray(tiltangle_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) twtt_data = np.array(list(self.synth_traveltime[cnt])) if twtt_data.ndim == 1: twtt_data = np.expand_dims(twtt_data, axis=0) twoway_travel_time = xr.DataArray(twtt_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) bpa_data = np.array(list(self.synth_beampointingangle[cnt])) if bpa_data.ndim == 1: bpa_data = np.expand_dims(bpa_data, axis=0) beam_pointing_angle = xr.DataArray(bpa_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) del_data = np.array(list(self.synth_delay[cnt])) if del_data.ndim == 1: del_data = np.expand_dims(del_data, axis=0) delay = xr.DataArray(del_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) frequency_data = np.array(list(self.synth_frequency[cnt])) if frequency_data.ndim == 1: frequency_data = np.expand_dims(frequency_data, axis=0) frequency = xr.DataArray(frequency_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) txsector_data = np.array(list(self.synth_txsector_beam[cnt])) if txsector_data.ndim == 1: txsector_data = np.expand_dims(txsector_data, axis=0) txsector = xr.DataArray(txsector_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) qf_data = np.array(list(self.synth_qualityfactor[cnt])) if qf_data.ndim == 1: qf_data = np.expand_dims(qf_data, axis=0) quality_factor = xr.DataArray(qf_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) altitude = xr.DataArray(np.array([self.synth_altitude[cnt]]), dims=['time'], coords={'time': tme_coord}) latitude = xr.DataArray(np.array([self.synth_latitude[cnt]]), dims=['time'], coords={'time': tme_coord}) longitude = xr.DataArray(np.array([self.synth_longitude[cnt]]), dims=['time'], coords={'time': tme_coord}) dataset.append(xr.Dataset({'ntx': (['time'], ntx.data), # use the underlying numpy array to avoid problems in xarray 0.19.0 'counter': (['time'], counter.data), 'soundspeed': (['time'], soundspeed.data), 'tiltangle': (['time', 'beam'], tiltangle.data), 'txsector_beam': (['time', 'beam'], txsector.data), 'delay': (['time', 'beam'], delay.data), 'frequency': (['time', 'beam'], frequency.data), 'traveltime': (['time', 'beam'], twoway_travel_time.data), 'beampointingangle': (['time', 'beam'], beam_pointing_angle.data), 'qualityfactor': (['time', 'beam'], quality_factor.data), 'altitude': (['time'], altitude.data), 'latitude': (['time'], latitude.data), 'longitude': (['time'], longitude.data)}, coords={'time': tme_coord, 'beam': beam_coord}, attrs={list(self.profile.keys())[0]: self.profile[list(self.profile.keys())[0]], 'system_serial_number': [self.serialnum], 'secondary_system_serial_number': [self.secondary_serialnum], 'system_identifier': sec, 'min_lon': float(np.min(longitude)), 'min_lat': float(np.min(latitude)), 'max_lon': float(np.max(longitude)), 'max_lat': float(np.max(latitude))}).chunk()) return dataset def construct_rawattitude(self): """ Take the provided real data built into this class and generate new xarray attitude data. Returns ------- dataset: xarray DataSet object that represents the attitude data you would get when running xarray_conversion normally. """ tme_vals = self.synth_att_time tme_coord = xr.DataArray(np.array(tme_vals), dims=['time'], coords={'time': np.array(tme_vals)}) heading = xr.DataArray(np.array(self.synth_yaw), dims=['time'], coords={'time': tme_coord}) heave = xr.DataArray(np.array(self.synth_heave), dims=['time'], coords={'time': tme_coord}) pitch = xr.DataArray(np.array(self.synth_pitch), dims=['time'], coords={'time': tme_coord}) roll = xr.DataArray(np.array(self.synth_roll), dims=['time'], coords={'time': tme_coord}) return xr.Dataset({'heading': (['time'], heading.data), 'heave': (['time'], heave.data), 'pitch': (['time'], pitch.data), 'roll': (['time'], roll.data)}, coords={'time': tme_coord.data}).chunk() class RealFqpr: """ Class holding the real data that I took from a .all file (0009_20170523_181119_FA2806.all). Covers a few pings and the attitude values associated with them. fq.multibeam.raw_ping[0].time.values[20] Out[88]: 1495563084.457 fq.multibeam.raw_ping[0].time.values[21] Out[89]: 1495563084.457001 fq.multibeam.raw_ping[0].time.values[22] Out[90]: 1495563084.948 fq.multibeam.raw_ping[0].time.values[23] Out[91]: 1495563084.948001 recone = ad.getrecord(88,20) rectwo = ad.getrecord(88,21) recthree = ad.getrecord(88,22) recfour = ad.getrecord(88,23) """ def __init__(self, synth_ra_time=(1495563084.457, 1495563084.457001, 1495563084.948, 1495563084.948001), synth_att_time=(1495563084.440, 1495563084.451, 1495563084.461, 1495563084.47, 1495563084.481, 1495563084.941, 1495563084.951, 1495563084.961, 1495563084.971, 1495563084.981, 1495563084.991), synth_nav_time=(1495563084.455, 1495563084.461, 1495563084.471, 1495563084.481, 1495563084.491, 1495563084.945, 1495563084.951, 1495563084.96, 1495563084.971, 1495563084.981), synth_delay=((3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08), (0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038), (3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08, 3.7951395e-08), (0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038, 0.002206038)), synth_frequency=((265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000), (275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000), (265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 265000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 285000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000, 270000), (275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 275000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 290000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000, 280000)), synth_txsector_beam=((0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 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, 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, 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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2), (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 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, 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, 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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2), (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 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, 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, 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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2), (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 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, 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, 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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)), synth_beampointingangle=((72.06, 71.95, 71.84, 71.729996, 71.61, 71.5, 71.38, 71.159996, 71.04, 70.92, 70.799995, 70.68, 70.549995, 70.15, 70.02, 69.89, 69.77, 69.63, 69.5, 69.369995, 69.229996, 69.1, 68.96, 68.82, 68.68, 68.54, 68.39, 68.25, 68.1, 67.95, 67.799995, 67.54, 67.39, 67.229996, 67.08, 66.909996, 66.75, 66.59, 66.32, 66.159996, 65.99, 65.81, 65.64, 65.46, 65.18, 65.0, 64.82, 64.64, 64.04, 63.85, 63.66, 63.46, 63.27, 63.07, 62.859997, 62.66, 62.449997, 62.239998, 62.03, 61.809998, 61.6, 61.37, 61.149998, 60.92, 60.69, 60.46, 60.219997, 59.98, 59.739998, 59.489998, 59.25, 58.989998, 58.739998, 58.48, 58.21, 57.94, 57.57, 57.3, 57.02, 56.739998, 56.449997, 56.16, 55.86, 55.449997, 55.149998, 54.84, 54.53, 54.21, 53.89, 53.559998, 53.12, 52.78, 52.44, 52.1, 51.739998, 51.39, 51.02, 50.559998, 50.18, 49.8, 49.42, 49.03, 48.629997, 48.23, 47.71, 47.3, 46.879997, 46.45, 46.02, 45.57, 45.129997, 44.67, 44.1, 43.64, 43.16, 42.68, 42.19, 41.69, 41.19, 40.68, 40.16, 39.53, 38.989998, 38.45, 37.899998, 37.34, 36.78, 36.2, 35.62, 35.03, 34.32, 33.71, 33.09, 32.469997, 31.83, 31.189999, 30.539999, 29.88, 29.22, 28.539999, 27.859999, 27.05, 26.349998, 25.64, 24.93, 24.199999, 23.47, 22.73, 21.98, 21.22, 20.46, 19.689999, 18.91, 18.119999, 17.33, 16.529999, 15.73, 14.809999, 13.99, 13.17, 12.34, 11.509999, 10.67, 9.83, 8.99, 8.139999, 7.29, 6.43, 5.58, 4.72, 3.86, 2.99, 2.1299999, 1.27, 0.39999998, -0.45999998, -1.3299999, -2.19, -3.05, -3.9099998, -4.77, -5.62, -6.47, -7.3199997, -8.17, -9.01, -9.84, -10.679999, -11.5, -12.33, -13.03, -13.84, -14.65, -15.45, -16.24, -17.029999, -17.81, -18.58, -19.34, -20.1, -20.85, -21.59, -22.32, -23.05, -23.769999, -24.359999, -25.07, -25.76, -26.439999, -27.119999, -27.789999, -28.449999, -29.099998, -29.74, -30.369999, -31.0, -31.51, -32.11, -32.71, -33.309998, -33.89, -34.469997, -35.03, -35.59, -36.14, -36.69, -37.12, -37.649998, -38.17, -38.68, -39.18, -39.68, -40.17, -40.649998, -41.129997, -41.489998, -41.95, -42.399998, -42.85, -43.29, -43.73, -44.149998, -44.57, -44.879997, -45.289997, -45.69, -46.09, -46.48, -46.86, -47.239998, -47.62, -47.879997, -48.25, -48.6, -48.96, -49.3, -49.649998, -49.98, -50.2, -50.53, -50.85, -51.17, -51.48, -51.789997, -52.1, -52.399998, -52.579998, -52.87, -53.16, -53.44, -53.719997, -54.0, -54.27, -54.539997, -54.699997, -54.96, -55.219997, -55.469997, -55.719997, -55.969997, -56.21, -56.449997, -56.69, -56.92, -57.149998, -57.379997, -57.6, -57.82, -58.039997, -58.26, -58.469997, -58.68, -58.89, -59.09, -59.3, -59.5, -59.69, -59.89, -60.079998, -60.27, -60.46, -60.64, -60.82, -61.01, -61.18, -60.949997, -61.12, -61.3, -61.469997, -61.629997, -61.8, -61.96, -62.129997, -62.289997, -62.44, -62.6, -62.66, -62.809998, -62.96, -63.109997, -63.26, -63.399998, -63.55, -63.69, -63.829998, -63.969997, -64.01, -64.15, -64.28, -64.42, -64.549995, -64.68, -64.81, -64.939995, -65.06, -65.189995, -65.31, -65.33, -65.46, -65.58, -65.7, -65.81, -65.93, -66.04, -66.159996, -66.27, -66.38, -66.49, -66.6, -66.71, -66.82, -66.93, -67.03, -67.14, -67.24, -67.34, -67.439995, -67.54, -67.64, -67.74, -67.84, -67.93, -68.03, -68.119995, -68.22, -68.31, -68.4, -68.5, -68.59, -68.67, -68.76, -68.85, -68.939995, -69.03, -68.83, -68.92, -69.0, -69.08, -69.17, -69.25, -69.33, -69.409996, -69.49, -69.57, -69.65, -69.72, -69.799995, -69.88, -69.95, -70.03, -70.1, -70.08, -70.15, -70.22, -70.29, -70.369995, -70.439995, -70.51, -70.58, -70.64), (72.06, 71.95, 71.84, 71.729996, 71.61, 71.5, 71.28, 71.159996, 71.04, 70.92, 70.799995, 70.68, 70.27, 70.15, 70.02, 69.89, 69.77, 69.63, 69.5, 69.369995, 69.229996, 69.1, 68.96, 68.82, 68.68, 68.54, 68.39, 68.25, 68.1, 67.95, 67.799995, 67.439995, 67.29, 67.13, 66.979996, 66.81, 66.65, 66.49, 66.32, 66.159996, 65.99, 65.81, 65.64, 65.46, 65.28, 65.0, 64.82, 64.64, 64.45, 64.26, 64.07, 63.77, 63.579998, 63.379997, 63.17, 62.969997, 62.76, 62.449997, 62.239998, 62.02, 61.809998, 61.579998, 61.359997, 61.129997, 60.69, 60.46, 60.219997, 59.98, 59.739998, 59.489998, 59.25, 58.989998, 58.739998, 58.48, 58.21, 57.94, 57.67, 57.3, 57.02, 56.739998, 56.449997, 56.16, 55.86, 55.559998, 55.149998, 54.84, 54.53, 54.21, 53.89, 53.559998, 53.23, 52.78, 52.44, 52.1, 51.739998, 51.39, 51.02, 50.66, 50.28, 49.8, 49.42, 49.03, 48.629997, 48.23, 47.82, 47.41, 46.879997, 46.45, 46.02, 45.57, 45.129997, 44.67, 44.21, 43.75, 43.16, 42.68, 42.19, 41.69, 41.19, 40.68, 40.16, 39.629997, 39.09, 38.45, 37.899998, 37.34, 36.78, 36.2, 35.62, 35.03, 34.43, 33.82, 32.98, 32.36, 31.72, 31.08, 30.429998, 29.769999, 29.109999, 28.43, 27.75, 27.05, 26.349998, 25.64, 24.93, 24.199999, 23.47, 22.73, 21.98, 21.22, 20.46, 19.689999, 18.91, 18.119999, 17.33, 16.529999, 15.73, 14.92, 14.099999, 13.28, 12.45, 11.62, 10.78, 9.83, 8.99, 8.139999, 7.29, 6.43, 5.58, 4.72, 3.86, 2.99, 2.1299999, 1.27, 0.39999998, -0.45999998, -1.3299999, -2.19, -3.05, -3.9099998, -4.77, -5.62, -6.47, -7.3199997, -8.17, -8.9, -9.73, -10.57, -11.389999, -12.219999, -13.03, -13.84, -14.65, -15.45, -16.24, -17.029999, -17.81, -18.58, -19.34, -20.1, -20.85, -21.59, -22.32, -23.05, -23.769999, -24.47, -25.18, -25.869999, -26.55, -27.23, -27.9, -28.56, -29.21, -29.849998, -30.26, -30.89, -31.51, -32.11, -32.71, -33.309998, -33.89, -34.469997, -35.03, -35.59, -36.04, -36.59, -37.12, -37.649998, -38.17, -38.68, -39.18, -39.68, -40.17, -40.54, -41.02, -41.489998, -41.95, -42.399998, -42.85, -43.29, -43.73, -44.04, -44.46, -44.879997, -45.289997, -45.69, -46.09, -46.48, -46.86, -47.14, -47.52, -47.879997, -48.25, -48.6, -48.96, -49.3, -49.649998, -49.87, -50.2, -50.53, -50.85, -51.17, -51.48, -51.789997, -51.989998, -52.289997, -52.579998, -52.87, -53.16, -53.44, -53.719997, -54.0, -54.17, -54.44, -54.699997, -54.96, -55.219997, -55.469997, -55.719997, -55.969997, -56.21, -56.449997, -56.69, -56.92, -57.149998, -57.379997, -57.6, -57.61, -57.829998, -58.05, -58.26, -58.469997, -58.68, -58.879997, -59.09, -59.289997, -59.379997, -59.579998, -59.77, -59.96, -60.149998, -60.329998, -60.51, -60.699997, -60.77, -60.949997, -61.12, -61.3, -61.469997, -61.629997, -61.8, -61.96, -62.129997, -62.19, -62.34, -62.5, -62.66, -62.809998, -62.96, -63.109997, -63.26, -63.399998, -63.55, -63.69, -63.829998, -63.969997, -64.11, -64.25, -64.38, -64.52, -64.65, -64.78, -64.909996, -64.84, -64.96, -65.09, -65.21, -65.33, -65.46, -65.58, -65.7, -65.81, -65.93, -66.04, -66.159996, -66.27, -66.38, -66.49, -66.6, -66.71, -66.82, -66.93, -67.03, -67.14, -67.24, -67.34, -67.439995, -67.54, -67.64, -67.74, -67.84, -67.93, -68.03, -68.119995, -68.22, -68.31, -68.4, -68.5, -68.59, -68.67, -68.479996, -68.57, -68.659996, -68.75, -68.83, -68.92, -69.0, -69.08, -69.17, -69.25, -69.33, -69.409996, -69.49, -69.57, -69.65, -69.72, -69.7, -69.78, -69.85, -69.93, -70.0, -70.08, -70.15, -70.22, -70.29, -70.369995, -70.439995, -70.51, -70.58, -70.64), (74.59, 74.49, 74.38, 74.299995, 74.189995, 74.08, 73.97, 73.86, 73.75, 73.68, 73.56, 73.45, 73.33, 73.21, 73.1, 72.979996, 72.85, 72.729996, 72.61, 72.479996, 72.36, 72.25, 72.119995, 71.99, 71.86, 71.72, 71.59, 71.46, 71.32, 71.18, 71.04, 70.9, 70.77, 70.63, 70.479996, 70.33, 70.18, 70.03, 69.869995, 69.72, 69.56, 69.4, 69.24, 69.07, 68.909996, 68.75, 68.58, 68.409996, 68.24, 68.06, 67.88, 67.7, 67.52, 67.33, 67.15, 66.96, 66.77, 66.57, 66.38, 66.18, 65.979996, 65.77, 65.57, 65.36, 65.14, 64.93, 64.71, 64.49, 64.27, 64.04, 63.789997, 63.559998, 63.32, 63.079998, 62.84, 62.6, 62.35, 62.1, 61.84, 61.579998, 61.32, 61.05, 60.78, 60.5, 60.219997, 59.94, 59.649998, 59.359997, 59.07, 58.77, 58.46, 58.149998, 57.84, 57.52, 57.199997, 56.879997, 56.55, 56.18, 55.84, 55.5, 55.149998, 54.789997, 54.43, 54.07, 53.699997, 53.32, 52.94, 52.55, 52.16, 51.76, 51.35, 50.94, 50.5, 50.079998, 49.649998, 49.21, 48.77, 48.309998, 47.86, 47.39, 46.89, 46.41, 45.93, 45.43, 44.93, 44.43, 43.91, 43.39, 42.84, 42.3, 41.76, 41.2, 40.64, 40.07, 39.489998, 38.91, 38.309998, 37.71, 37.07, 36.45, 35.82, 35.19, 34.54, 33.89, 33.23, 32.559998, 31.88, 31.199999, 30.5, 29.769999, 29.06, 28.34, 27.619999, 26.88, 26.14, 25.39, 24.63, 23.869999, 23.1, 22.32, 21.539999, 20.75, 19.949999, 19.15, 18.34, 17.52, 16.699999, 15.839999, 15.009999, 14.17, 13.34, 12.5, 11.65, 10.8, 9.95, 9.099999, 8.25, 7.39, 6.5299997, 5.67, 4.8199997, 3.9599998, 3.1, 2.24, 1.39, 0.53, -0.32, -1.17, -2.02, -2.86, -3.6999998, -4.54, -5.38, -6.17, -6.99, -7.81, -8.62, -9.429999, -10.24, -11.03, -11.82, -12.61, -13.389999, -14.16, -14.92, -15.679999, -16.43, -17.17, -17.9, -18.63, -19.35, -20.029999, -20.73, -21.42, -22.109999, -22.779999, -23.449999, -24.109999, -24.769999, -25.41, -26.05, -26.67, -27.26, -27.869999, -28.48, -29.07, -29.66, -30.23, -30.8, -31.369999, -31.92, -32.469997, -32.98, -33.51, -34.04, -34.55, -35.059998, -35.559998, -36.05, -36.54, -37.02, -37.46, -37.92, -38.379997, -38.829998, -39.27, -39.71, -40.14, -40.57, -40.96, -41.379997, -41.78, -42.18, -42.57, -42.96, -43.34, -43.719997, -44.09, -44.46, -44.82, -45.17, -45.52, -45.87, -46.21, -46.539997, -46.84, -47.17, -47.489998, -47.8, -48.11, -48.42, -48.719997, -49.02, -49.3, -49.59, -49.879997, -50.16, -50.44, -50.71, -50.98, -51.25, -51.5, -51.76, -52.02, -52.27, -52.52, -52.76, -53.01, -53.239998, -53.48, -53.71, -53.94, -54.17, -54.39, -54.61, -54.829998, -55.05, -55.239998, -55.449997, -55.649998, -55.86, -56.059998, -56.26, -56.449997, -56.649998, -56.84, -57.03, -57.219997, -57.399998, -57.579998, -57.76, -57.94, -58.12, -58.289997, -58.46, -58.629997, -58.8, -58.969997, -59.129997, -59.289997, -59.449997, -59.609997, -59.77, -59.92, -60.07, -60.219997, -60.37, -60.52, -60.67, -60.809998, -60.949997, -61.09, -61.23, -61.379997, -61.52, -61.649998, -61.789997, -61.92, -62.05, -62.18, -62.309998, -62.43, -62.559998, -62.68, -62.809998, -62.93, -63.05, -63.17, -63.28, -63.399998, -63.51, -63.629997, -63.739998, -63.85, -63.96, -64.09, -64.2, -64.31, -64.42, -64.52, -64.63, -64.729996, -64.83, -64.93, -65.03, -65.13, -65.229996, -65.33, -65.43, -65.53, -65.619995, -65.72, -65.81, -65.9, -65.99, -66.09, -66.17, -66.26, -66.35, -66.439995, -66.53, -66.61, -66.72, -66.799995, -66.88, -66.97, -67.049995, -67.13, -67.21, -67.29, -67.369995, -67.45, -67.52, -67.6, -67.68, -67.75, -67.83, -67.9, -67.979996, -68.049995), (74.59, 74.49, 74.38, 74.299995, 74.189995, 74.08, 73.97, 73.86, 73.75, 73.7, 73.58, 73.47, 73.35, 73.229996, 73.119995, 73.0, 72.869995, 72.75, 72.63, 72.5, 72.38, 72.25, 72.119995, 71.99, 71.86, 71.72, 71.59, 71.49, 71.35, 71.21, 71.07, 70.93, 70.78, 70.64, 70.49, 70.34, 70.189995, 70.04, 69.88, 69.729996, 69.57, 69.409996, 69.25, 69.08, 68.92, 68.75, 68.58, 68.409996, 68.24, 68.06, 67.88, 67.7, 67.52, 67.33, 67.15, 66.96, 66.77, 66.57, 66.38, 66.18, 65.979996, 65.77, 65.57, 65.36, 65.14, 64.93, 64.71, 64.49, 64.27, 64.04, 63.809998, 63.57, 63.329998, 63.09, 62.85, 62.609997, 62.359997, 62.109997, 61.84, 61.579998, 61.32, 61.05, 60.78, 60.51, 60.219997, 59.94, 59.649998, 59.359997, 59.07, 58.77, 58.469997, 58.149998, 57.84, 57.52, 57.199997, 56.879997, 56.55, 56.21, 55.86, 55.52, 55.17, 54.809998, 54.449997, 54.09, 53.719997, 53.32, 52.94, 52.55, 52.16, 51.76, 51.35, 50.94, 50.52, 50.079998, 49.649998, 49.21, 48.77, 48.309998, 47.86, 47.39, 46.92, 46.41, 45.93, 45.43, 44.93, 44.43, 43.91, 43.39, 42.86, 42.32, 41.76, 41.2, 40.64, 40.07, 39.489998, 38.91, 38.309998, 37.71, 37.1, 36.48, 35.82, 35.19, 34.54, 33.89, 33.23, 32.559998, 31.88, 31.199999, 30.5, 29.8, 29.09, 28.369999, 27.58, 26.84, 26.099998, 25.35, 24.59, 23.83, 23.06, 22.279999, 21.5, 20.71, 19.91, 19.109999, 18.3, 17.48, 16.66, 15.839999, 15.009999, 14.17, 13.34, 12.5, 11.65, 10.8, 9.95, 9.099999, 8.25, 7.39, 6.5299997, 5.67, 4.8199997, 3.9599998, 3.1, 2.24, 1.39, 0.53, -0.32, -1.17, -2.02, -2.86, -3.6999998, -4.54, -5.38, -6.21, -7.0299997, -7.85, -8.66, -9.469999, -10.28, -11.07, -11.86, -12.65, -13.429999, -14.2, -14.96, -15.719999, -16.47, -17.21, -17.869999, -18.6, -19.32, -20.029999, -20.73, -21.42, -22.109999, -22.779999, -23.449999, -24.109999, -24.769999, -25.41, -26.019999, -26.64, -27.26, -27.869999, -28.48, -29.07, -29.66, -30.23, -30.8, -31.369999, -31.9, -32.45, -32.98, -33.51, -34.04, -34.55, -35.059998, -35.559998, -36.05, -36.51, -36.989998, -37.46, -37.92, -38.379997, -38.829998, -39.27, -39.71, -40.14, -40.55, -40.96, -41.379997, -41.78, -42.18, -42.57, -42.96, -43.34, -43.7, -44.07, -44.44, -44.8, -45.149998, -45.5, -45.85, -46.19, -46.51, -46.84, -47.17, -47.489998, -47.8, -48.11, -48.42, -48.71, -49.01, -49.3, -49.59, -49.879997, -50.16, -50.44, -50.71, -50.969997, -51.239998, -51.5, -51.76, -52.02, -52.27, -52.52, -52.76, -53.0, -53.23, -53.469997, -53.699997, -53.93, -54.16, -54.379997, -54.6, -54.809998, -55.03, -55.239998, -55.449997, -55.649998, -55.86, -56.059998, -56.26, -56.449997, -56.649998, -56.84, -57.03, -57.219997, -57.399998, -57.579998, -57.76, -57.94, -58.12, -58.289997, -58.46, -58.629997, -58.8, -58.969997, -59.129997, -59.289997, -59.449997, -59.609997, -59.77, -59.92, -60.07, -60.219997, -60.37, -60.52, -60.67, -60.809998, -60.949997, -61.09, -61.23, -61.37, -61.51, -61.64, -61.78, -61.91, -62.039997, -62.17, -62.3, -62.42, -62.55, -62.67, -62.8, -62.92, -63.039997, -63.16, -63.27, -63.39, -63.5, -63.62, -63.73, -63.84, -63.949997, -64.06, -64.17, -64.28, -64.39, -64.49, -64.6, -64.7, -64.799995, -64.939995, -65.04, -65.14, -65.24, -65.34, -65.43, -65.53, -65.619995, -65.72, -65.81, -65.9, -65.99, -66.09, -66.17, -66.26, -66.35, -66.439995, -66.53, -66.61, -66.7, -66.78, -66.86, -66.95, -67.03, -67.11, -67.189995, -67.27, -67.35, -67.43, -67.5, -67.58, -67.659996, -67.729996, -67.81, -67.88, -67.96, -68.03)), synth_soundspeed=(1488.6, 1488.6, 1488.6, 1488.6), synth_counter=(61986, 61987, 61988, 61989), synth_traveltime=((0.3374375, 0.33574128, 0.33404624, 0.3323523, 0.3306599, 0.32896882, 0.32727906, 0.3255905, 0.32390353, 0.322218, 0.32053387, 0.3188512, 0.3171696, 0.31548983, 0.3138117, 0.31213507, 0.31045982, 0.30878627, 0.30711445, 0.30544433, 0.30200797, 0.2998462, 0.29679245, 0.29647696, 0.2950641, 0.29270256, 0.2923256, 0.29122898, 0.28977475, 0.288152, 0.28717324, 0.285622, 0.28515747, 0.28226322, 0.28172052, 0.28025725, 0.2776043, 0.2771847, 0.27503136, 0.27308482, 0.27217513, 0.27123868, 0.2689912, 0.26770753, 0.26570505, 0.26344052, 0.2616543, 0.26036218, 0.2553513, 0.2543611, 0.2529014, 0.25154543, 0.2504533, 0.24887377, 0.24781282, 0.24646112, 0.24496694, 0.24279521, 0.24143311, 0.23992637, 0.23836696, 0.23702249, 0.23514406, 0.23415889, 0.23316592, 0.23129629, 0.22966407, 0.22826019, 0.22680067, 0.22541586, 0.22421229, 0.22279815, 0.22108059, 0.21954548, 0.21816167, 0.2167328, 0.21525824, 0.21379735, 0.21222386, 0.21090919, 0.20954707, 0.20804231, 0.2063668, 0.2046565, 0.2033373, 0.20201279, 0.20065914, 0.19947606, 0.19785869, 0.19623053, 0.19484422, 0.19340433, 0.19197422, 0.19056596, 0.18937707, 0.18817508, 0.18674783, 0.18526357, 0.18383032, 0.18259765, 0.18136238, 0.18006901, 0.1786776, 0.1773137, 0.17586833, 0.17465161, 0.17351812, 0.17230795, 0.171026, 0.16971181, 0.16850959, 0.16689701, 0.16589576, 0.16480514, 0.16371034, 0.16239388, 0.16132355, 0.16022831, 0.15894939, 0.15757099, 0.15638211, 0.15529375, 0.15418589, 0.15309717, 0.15202093, 0.15103377, 0.15010498, 0.14910506, 0.14789501, 0.14690709, 0.14592192, 0.1449036, 0.14390156, 0.14297749, 0.14209363, 0.14124912, 0.14040565, 0.1394752, 0.13854763, 0.13776311, 0.13695164, 0.13607863, 0.13524538, 0.13447393, 0.13383554, 0.13311, 0.1324143, 0.131847, 0.13116807, 0.13039087, 0.12989727, 0.1293344, 0.12869512, 0.1278975, 0.12756506, 0.12713467, 0.12667976, 0.12615696, 0.12586565, 0.12567085, 0.12508342, 0.12458022, 0.12434319, 0.124130465, 0.12391781, 0.12371096, 0.12351953, 0.12337861, 0.123037465, 0.12298218, 0.122884125, 0.12287177, 0.122825414, 0.12281928, 0.12284699, 0.12284642, 0.12295518, 0.123063765, 0.12316184, 0.12333491, 0.12351629, 0.123924024, 0.123896964, 0.12392259, 0.12437285, 0.124518655, 0.12557365, 0.12587348, 0.12610409, 0.1262859, 0.12672538, 0.1272102, 0.12762138, 0.1284419, 0.12902081, 0.12952158, 0.130026, 0.13065875, 0.13121751, 0.13189772, 0.13257839, 0.13332321, 0.13372011, 0.13479127, 0.13551272, 0.13639, 0.13716088, 0.1380022, 0.13874415, 0.13950342, 0.14047438, 0.14139827, 0.1423899, 0.1432405, 0.14417371, 0.14520165, 0.1461937, 0.1472412, 0.14816545, 0.148998, 0.15011981, 0.15118724, 0.15220977, 0.15327466, 0.1544236, 0.1557034, 0.15672776, 0.15780595, 0.15882792, 0.1598993, 0.16106391, 0.16218315, 0.16336899, 0.16450976, 0.16554788, 0.16673224, 0.16802587, 0.16914153, 0.17030972, 0.17162412, 0.17295085, 0.17418154, 0.17548361, 0.17694345, 0.17809199, 0.17917247, 0.18048562, 0.18174766, 0.18293624, 0.1842345, 0.18559851, 0.18693331, 0.18802407, 0.18925586, 0.19083007, 0.19226876, 0.19335645, 0.19458514, 0.19650607, 0.19746383, 0.1983271, 0.19937204, 0.20100424, 0.2025753, 0.20409648, 0.20539345, 0.20676452, 0.20794113, 0.20893277, 0.21023737, 0.2117768, 0.21306436, 0.21439092, 0.21591753, 0.21724063, 0.21829474, 0.21930324, 0.22076441, 0.22204877, 0.22347717, 0.22520763, 0.22634006, 0.22736493, 0.22926562, 0.23047931, 0.23142922, 0.23233043, 0.23409557, 0.23543914, 0.23652168, 0.23774871, 0.23916756, 0.2404476, 0.2417661, 0.24313623, 0.2444644, 0.24582466, 0.24723598, 0.24860941, 0.25008437, 0.2515735, 0.2530708, 0.25392833, 0.2553322, 0.2558639, 0.25716078, 0.25775516, 0.2582176, 0.25939447, 0.26023754, 0.26045263, 0.2619916, 0.2629584, 0.2640043, 0.26487383, 0.26567894, 0.26693115, 0.2679422, 0.26938418, 0.27002198, 0.27070826, 0.27169305, 0.27310315, 0.27501243, 0.2752617, 0.27595088, 0.27737764, 0.27816954, 0.27857998, 0.28057557, 0.27989239, 0.2819125, 0.28271177, 0.28314772, 0.2835152, 0.285096, 0.2860017, 0.28680596, 0.28817615, 0.2893704, 0.2891026, 0.2903716, 0.2913212, 0.29234722, 0.29328594, 0.2937249, 0.29417732, 0.2947401, 0.29634175, 0.29782552, 0.29846802, 0.2992299, 0.29954284, 0.30072692, 0.30164543, 0.30294213, 0.30340365, 0.30444562, 0.30606294, 0.30626845, 0.30657163, 0.30782205, 0.30859825, 0.3093672, 0.31012902, 0.311427, 0.3120387, 0.3121292, 0.31230107, 0.3135856, 0.31425026, 0.31519422, 0.31555274, 0.3161917, 0.31767243, 0.3179527, 0.31766587, 0.31814748, 0.31916523, 0.32009357, 0.32061866, 0.32161832, 0.32132223, 0.32230845, 0.32313886, 0.3237364, 0.32347977, 0.32488364, 0.32545, 0.32647768, 0.32574812, 0.32751325, 0.32767314, 0.32827035, 0.32886252, 0.3294498, 0.33003208, 0.33060968, 0.33199447, 0.33165485), (0.33286086, 0.33118767, 0.3295156, 0.32784468, 0.3261752, 0.32450712, 0.32284027, 0.32117453, 0.31951043, 0.3178478, 0.3161865, 0.31452668, 0.31286797, 0.311211, 0.30955562, 0.30790174, 0.30624908, 0.30459827, 0.30294913, 0.30130166, 0.2999808, 0.29793584, 0.29666272, 0.29535195, 0.2943339, 0.29275528, 0.29143497, 0.2899108, 0.28851902, 0.2867685, 0.2856211, 0.28363413, 0.28132424, 0.28047538, 0.27930307, 0.2771033, 0.2764726, 0.27512047, 0.27451742, 0.27225524, 0.27039626, 0.26918897, 0.2675723, 0.2660115, 0.26485437, 0.26268727, 0.26087478, 0.26004234, 0.25931886, 0.25688004, 0.25484818, 0.253472, 0.25120234, 0.25006732, 0.24886847, 0.24708949, 0.2454348, 0.24369726, 0.24219495, 0.24093822, 0.23985489, 0.23791327, 0.23633018, 0.23400958, 0.23240674, 0.23072962, 0.22933055, 0.22818145, 0.22649285, 0.22497757, 0.22371121, 0.22243716, 0.22068694, 0.21918961, 0.21807982, 0.21700086, 0.21538106, 0.21351945, 0.21215576, 0.21066187, 0.20932892, 0.20784307, 0.20650421, 0.20469497, 0.20325057, 0.20193627, 0.20043588, 0.19924983, 0.19785585, 0.19658189, 0.19473614, 0.19315888, 0.19194259, 0.19060436, 0.18939073, 0.18796088, 0.18665922, 0.18549667, 0.18407935, 0.18257701, 0.18121134, 0.17986487, 0.17854963, 0.17734906, 0.1760046, 0.17456003, 0.17329924, 0.17212135, 0.17092489, 0.1695952, 0.16841523, 0.16718346, 0.16603881, 0.16471009, 0.16344406, 0.16222867, 0.16105902, 0.15992494, 0.15885988, 0.15761916, 0.15648209, 0.1553135, 0.15418808, 0.15326373, 0.15211077, 0.1510404, 0.15001374, 0.14898524, 0.147978, 0.14696974, 0.14592198, 0.14477202, 0.14371444, 0.14277057, 0.1418359, 0.14100888, 0.14011908, 0.13928261, 0.13847078, 0.13760248, 0.13688685, 0.13611749, 0.13532026, 0.13455074, 0.13384242, 0.13301031, 0.13235469, 0.13160288, 0.13094611, 0.13053145, 0.12998609, 0.12953024, 0.12866259, 0.12812932, 0.1273899, 0.12707789, 0.12672006, 0.12615287, 0.12593159, 0.12552254, 0.12515098, 0.12455235, 0.124462426, 0.12410692, 0.12390766, 0.12380411, 0.12415181, 0.12331057, 0.123262145, 0.12300099, 0.12289409, 0.12286724, 0.122894794, 0.12303805, 0.12300654, 0.12304886, 0.12302006, 0.123087294, 0.12320298, 0.1233815, 0.123541676, 0.12367764, 0.12384253, 0.12401555, 0.1243041, 0.12460236, 0.12529752, 0.12564437, 0.12599713, 0.12631042, 0.12690003, 0.12732169, 0.12765713, 0.12829152, 0.1290989, 0.1293522, 0.13003391, 0.13069198, 0.13124296, 0.132006, 0.1328138, 0.13337041, 0.13408667, 0.13489902, 0.13566206, 0.13648161, 0.13730575, 0.13813399, 0.13886712, 0.13979977, 0.14072353, 0.14165695, 0.14273554, 0.14358151, 0.14443316, 0.1453344, 0.14611326, 0.14711714, 0.14800332, 0.14911148, 0.15023136, 0.15131749, 0.15243182, 0.15351419, 0.15458275, 0.15579124, 0.15670927, 0.15762487, 0.15876997, 0.15995735, 0.16113818, 0.16234262, 0.16355492, 0.16478373, 0.16561183, 0.16648972, 0.1676648, 0.16888827, 0.1701298, 0.17149624, 0.17296453, 0.17439163, 0.17552282, 0.17653602, 0.17783983, 0.17905387, 0.18054618, 0.18193889, 0.18304598, 0.1843297, 0.18543431, 0.18653731, 0.18780568, 0.18940958, 0.19066106, 0.19198756, 0.19352391, 0.19473048, 0.19582511, 0.19699496, 0.19838217, 0.19996342, 0.20133598, 0.20271938, 0.20417832, 0.20544527, 0.20648396, 0.20767626, 0.20919274, 0.21054257, 0.21186842, 0.21331093, 0.21476352, 0.21587414, 0.21688952, 0.21828754, 0.21981798, 0.22106262, 0.2224259, 0.22363804, 0.22496949, 0.22688825, 0.22808611, 0.22915138, 0.23015428, 0.23155305, 0.2327705, 0.23400426, 0.23518828, 0.23629488, 0.23767921, 0.2383312, 0.24041149, 0.24118999, 0.24218851, 0.24310917, 0.24399212, 0.24582842, 0.24807505, 0.2484584, 0.24898927, 0.25063944, 0.25164995, 0.25314948, 0.25465676, 0.25569138, 0.25659078, 0.25763106, 0.25903884, 0.26015314, 0.26133516, 0.2621599, 0.263621, 0.26418424, 0.26473442, 0.26658112, 0.26729834, 0.26825556, 0.2697009, 0.27106598, 0.271804, 0.27319574, 0.2737906, 0.27445823, 0.27570713, 0.27685735, 0.27828977, 0.27902433, 0.28054592, 0.28082117, 0.28124255, 0.28264135, 0.28352916, 0.2847527, 0.28541255, 0.28600365, 0.28707704, 0.2873831, 0.28953376, 0.2895397, 0.2904794, 0.29118988, 0.29204822, 0.29322278, 0.29393393, 0.29434648, 0.29478297, 0.29620054, 0.2968893, 0.2982344, 0.29894388, 0.29977655, 0.30002904, 0.3015654, 0.3024459, 0.30329716, 0.30414006, 0.30520344, 0.30537754, 0.30581886, 0.30731544, 0.30831861, 0.30879223, 0.30950722, 0.31046945, 0.31083757, 0.31188375, 0.3122523, 0.3132099, 0.31331334, 0.31421906, 0.31518498, 0.31494266, 0.3163285, 0.3166934, 0.31735632, 0.31796598, 0.3180701, 0.318577, 0.31913015, 0.32052407, 0.3210829, 0.32181957, 0.32245904, 0.32229233, 0.32335287, 0.32447138, 0.324823, 0.32538158, 0.32593533, 0.32648453, 0.32771406, 0.3290931, 0.33047274, 0.33185285, 0.33323348, 0.33461434, 0.3359959, 0.33737814, 0.33876082), (0.34952378, 0.34781742, 0.34611216, 0.34440723, 0.34270442, 0.34100282, 0.3393024, 0.33760324, 0.3359047, 0.33420813, 0.33251286, 0.33081892, 0.3291264, 0.3274345, 0.32574475, 0.32405633, 0.3223694, 0.32068288, 0.31899884, 0.31731635, 0.3156354, 0.313956, 0.31227767, 0.3106015, 0.30892685, 0.307254, 0.30558184, 0.30391225, 0.30224448, 0.29974726, 0.29883817, 0.29686078, 0.2946734, 0.29348192, 0.2915586, 0.28951976, 0.28922865, 0.28747454, 0.28632924, 0.2845475, 0.28342858, 0.28202116, 0.27990416, 0.277935, 0.2756999, 0.27437663, 0.27302432, 0.27073893, 0.268861, 0.26634005, 0.2654823, 0.26414636, 0.26252753, 0.26140076, 0.25980127, 0.25760058, 0.25607803, 0.25479853, 0.252879, 0.25150388, 0.25019184, 0.24862282, 0.24697128, 0.24561174, 0.24321835, 0.24167174, 0.24029641, 0.23918897, 0.23772328, 0.23623858, 0.23429714, 0.23265418, 0.231168, 0.22961941, 0.22816032, 0.22642048, 0.22506748, 0.22351176, 0.2215603, 0.220271, 0.21917507, 0.21746637, 0.2157991, 0.21451057, 0.21293528, 0.21140668, 0.20996046, 0.20854498, 0.20684811, 0.2054097, 0.20414828, 0.20292741, 0.20135075, 0.1997913, 0.19832559, 0.19690043, 0.1953709, 0.19400004, 0.19251965, 0.19114597, 0.1897365, 0.18842469, 0.18712027, 0.18567996, 0.18443596, 0.18313166, 0.1817566, 0.1804667, 0.17888054, 0.17765112, 0.17643544, 0.17505316, 0.17374359, 0.17244327, 0.17131376, 0.1701405, 0.16892482, 0.16777545, 0.16658403, 0.16517414, 0.16395454, 0.16280822, 0.1616519, 0.16037945, 0.1592842, 0.15799911, 0.15679604, 0.15571615, 0.15467037, 0.1535193, 0.15235943, 0.15126604, 0.15028423, 0.14929827, 0.14825268, 0.14716478, 0.1462178, 0.14522602, 0.14412707, 0.14310741, 0.14226688, 0.1414078, 0.14066544, 0.1397508, 0.13878988, 0.13807268, 0.13731098, 0.13646573, 0.1356466, 0.13486522, 0.13407151, 0.13334863, 0.1325879, 0.13172221, 0.13125128, 0.13062342, 0.12999359, 0.12934342, 0.1290545, 0.1279493, 0.12765542, 0.12718399, 0.12663431, 0.1263254, 0.12608296, 0.12574545, 0.12525022, 0.12495604, 0.12453335, 0.12437017, 0.12435173, 0.1240722, 0.123518676, 0.123335734, 0.123181015, 0.12300213, 0.12292728, 0.122833595, 0.12278443, 0.12277298, 0.12277819, 0.12302151, 0.12301352, 0.12299361, 0.123048276, 0.12309367, 0.12336921, 0.12347535, 0.12371521, 0.123915195, 0.12411547, 0.124577165, 0.1247994, 0.1252104, 0.12554155, 0.12611936, 0.12653475, 0.12691125, 0.1274926, 0.12792705, 0.12843879, 0.12905855, 0.12937091, 0.13014194, 0.13071409, 0.13135426, 0.13166998, 0.132797, 0.13341077, 0.13425606, 0.13504706, 0.13564044, 0.13637829, 0.13732405, 0.13792647, 0.1388735, 0.13970393, 0.14064917, 0.14149219, 0.14235827, 0.1432345, 0.14422348, 0.14519358, 0.14616433, 0.14716151, 0.14805378, 0.14910705, 0.15014632, 0.15115243, 0.1522071, 0.15324861, 0.15438694, 0.15577088, 0.15671782, 0.15761985, 0.15865226, 0.15985563, 0.16099177, 0.1621253, 0.16326444, 0.16432644, 0.16538331, 0.16649805, 0.16757344, 0.16860327, 0.17009363, 0.17155463, 0.17283446, 0.17410983, 0.17515329, 0.17640325, 0.17761569, 0.17869896, 0.1798961, 0.181278, 0.18254937, 0.18375994, 0.18507482, 0.18640873, 0.18777947, 0.188932, 0.19001274, 0.19133976, 0.19267933, 0.1939582, 0.19520302, 0.1962091, 0.19714569, 0.19869547, 0.20016551, 0.2013677, 0.20286436, 0.20432717, 0.20540822, 0.20678699, 0.20805156, 0.20920618, 0.21042117, 0.21183781, 0.21327128, 0.21459864, 0.21576135, 0.21699542, 0.2187274, 0.21964803, 0.22075085, 0.2222718, 0.2236746, 0.22488222, 0.22607544, 0.22693227, 0.22774242, 0.22965862, 0.2307208, 0.23218565, 0.23339052, 0.23464046, 0.2361007, 0.23707837, 0.2382492, 0.23963168, 0.24079719, 0.24167283, 0.24224456, 0.24431519, 0.24544038, 0.24663107, 0.24787924, 0.249109, 0.2503338, 0.251632, 0.2536441, 0.25414267, 0.25511307, 0.2559753, 0.25707358, 0.2581656, 0.25917283, 0.26096886, 0.2618075, 0.26266012, 0.2645718, 0.2656489, 0.26627463, 0.26813418, 0.26902574, 0.26977584, 0.27101105, 0.2716428, 0.2722922, 0.2735653, 0.27446496, 0.27495456, 0.2763124, 0.27714124, 0.2781502, 0.27939692, 0.2801243, 0.28079376, 0.2819911, 0.28290904, 0.28399506, 0.28463173, 0.2856267, 0.28621188, 0.2874185, 0.28742227, 0.28836733, 0.29048777, 0.29098138, 0.2921293, 0.29305393, 0.29347047, 0.29369828, 0.29475656, 0.2955472, 0.29599845, 0.29703245, 0.29757124, 0.2982986, 0.29873192, 0.2997446, 0.3003785, 0.30158925, 0.3014942, 0.30311292, 0.3031039, 0.30466112, 0.30508977, 0.30610496, 0.30641335, 0.30722526, 0.3080106, 0.30864128, 0.30968332, 0.30971646, 0.31116155, 0.31207982, 0.31233025, 0.31333387, 0.31464726, 0.3142663, 0.31579366, 0.3159604, 0.31729323, 0.31720212, 0.31851956, 0.31892884, 0.31895152, 0.31991968, 0.32106316, 0.3208131, 0.32166645, 0.321932, 0.32254016, 0.3235073, 0.32439402, 0.32444543, 0.32538262, 0.32605052), (0.34790522, 0.3462068, 0.34450945, 0.34281242, 0.34111747, 0.33942378, 0.33773124, 0.33604, 0.3343493, 0.3326606, 0.33097318, 0.3292871, 0.32760245, 0.32591838, 0.32423645, 0.3225559, 0.32087678, 0.31919804, 0.3175218, 0.31584713, 0.314174, 0.31250238, 0.3108318, 0.30916342, 0.30749652, 0.30583143, 0.30416703, 0.3025052, 0.30084518, 0.2974168, 0.2966839, 0.29483196, 0.29315454, 0.2916964, 0.289605, 0.28871137, 0.28654718, 0.28579998, 0.28347248, 0.28265527, 0.28090742, 0.2792868, 0.2775144, 0.2759834, 0.27364492, 0.27323818, 0.27147254, 0.2700461, 0.26860043, 0.2663896, 0.26417336, 0.26269966, 0.261743, 0.26079604, 0.25810105, 0.25728133, 0.25588825, 0.25416476, 0.25278136, 0.2510677, 0.24945892, 0.24811378, 0.24655314, 0.24508342, 0.24363345, 0.24182093, 0.24007909, 0.23856342, 0.23708029, 0.2340498, 0.23341027, 0.23215985, 0.23077641, 0.22946927, 0.22818644, 0.22638775, 0.22480561, 0.22329323, 0.22176018, 0.22005954, 0.21859173, 0.21718536, 0.21583132, 0.21417794, 0.2126156, 0.21108992, 0.2096315, 0.20834614, 0.20726106, 0.20538875, 0.2037896, 0.20255573, 0.20115304, 0.19960026, 0.19807142, 0.19659342, 0.19513562, 0.19392072, 0.19270298, 0.19110811, 0.18972525, 0.18835935, 0.18682402, 0.18544489, 0.18420038, 0.18283129, 0.1816057, 0.18034834, 0.17896956, 0.17769016, 0.17638947, 0.17503333, 0.17385443, 0.17260012, 0.17134963, 0.17001294, 0.16872884, 0.16753931, 0.16642272, 0.16512223, 0.16390495, 0.16266356, 0.16149503, 0.16024853, 0.15912336, 0.15790711, 0.15687737, 0.15578374, 0.15468983, 0.15347764, 0.15235794, 0.15135242, 0.15031648, 0.14932536, 0.14828695, 0.14717919, 0.1462355, 0.14534271, 0.14428245, 0.143215, 0.14222541, 0.14145051, 0.14061408, 0.13974057, 0.1389407, 0.13803357, 0.13716908, 0.13643545, 0.13568282, 0.13494469, 0.13414712, 0.13335785, 0.13255288, 0.13200292, 0.13142821, 0.13078408, 0.13001919, 0.12949517, 0.12884684, 0.12820776, 0.12757012, 0.12714896, 0.1268058, 0.12619527, 0.12593627, 0.12549984, 0.1252003, 0.12501144, 0.12469904, 0.12421357, 0.12403646, 0.12380109, 0.123570606, 0.12343775, 0.12323134, 0.12317958, 0.122890346, 0.1228781, 0.1228293, 0.12278651, 0.12285889, 0.12287098, 0.123152904, 0.12308871, 0.12306893, 0.123269565, 0.12336985, 0.12360632, 0.123662814, 0.123908624, 0.12421874, 0.12442542, 0.12493986, 0.12515582, 0.12567656, 0.12613358, 0.1264891, 0.12704371, 0.12744805, 0.12804587, 0.1283652, 0.12895599, 0.12960143, 0.13037103, 0.13078845, 0.13157575, 0.13215967, 0.13263683, 0.13345061, 0.13429774, 0.13493152, 0.13569126, 0.136438, 0.13726783, 0.13806362, 0.13895361, 0.13974044, 0.14061067, 0.14151202, 0.14237846, 0.14329684, 0.14423604, 0.14525178, 0.14623672, 0.14713715, 0.14813264, 0.14911932, 0.1501618, 0.1512373, 0.15227002, 0.15330744, 0.1543346, 0.15540637, 0.15649626, 0.15772445, 0.15874219, 0.15994392, 0.16102287, 0.16222943, 0.16337381, 0.16456024, 0.16566522, 0.16677713, 0.1678776, 0.16897833, 0.17028074, 0.17146754, 0.17276302, 0.17400728, 0.17517337, 0.17639211, 0.17762078, 0.17887408, 0.18004537, 0.181355, 0.1826774, 0.1838994, 0.18499501, 0.18615243, 0.18758196, 0.18872015, 0.18998979, 0.19114098, 0.19244903, 0.19387932, 0.19503474, 0.19626087, 0.1976598, 0.19909632, 0.20048262, 0.20147245, 0.2026596, 0.2041687, 0.20549457, 0.20668124, 0.20807917, 0.20942885, 0.21058725, 0.21181576, 0.21304144, 0.21408005, 0.21528511, 0.21718842, 0.21844403, 0.21968675, 0.22123079, 0.22253843, 0.22377332, 0.22483815, 0.22589852, 0.22745974, 0.22868374, 0.22987889, 0.2307443, 0.23191217, 0.23325554, 0.23447575, 0.23608, 0.23735261, 0.23855974, 0.24003546, 0.2410615, 0.24203207, 0.24357837, 0.2444672, 0.2453507, 0.24692322, 0.24797383, 0.24902591, 0.2503122, 0.25176135, 0.2533386, 0.2543625, 0.25525907, 0.25662854, 0.25836396, 0.25882873, 0.25957465, 0.26083076, 0.26215127, 0.2637028, 0.26445383, 0.26544997, 0.26656035, 0.26752347, 0.2694063, 0.26993862, 0.27046898, 0.27257794, 0.27264857, 0.27278677, 0.27444905, 0.27519545, 0.27629617, 0.27729246, 0.27827746, 0.27960426, 0.280282, 0.28090495, 0.28144053, 0.28317782, 0.28368717, 0.28537542, 0.2859166, 0.28674975, 0.28806946, 0.28874835, 0.28950787, 0.2898384, 0.29115772, 0.29196408, 0.29268453, 0.2935402, 0.29374206, 0.29455963, 0.29580715, 0.2968124, 0.29739895, 0.2983788, 0.29979277, 0.3000085, 0.30042776, 0.30176097, 0.30326927, 0.30288717, 0.30483282, 0.30488205, 0.3062204, 0.30644295, 0.30721697, 0.30727562, 0.30838144, 0.3092293, 0.3098389, 0.31087533, 0.31170174, 0.31185383, 0.3121063, 0.31304207, 0.31416106, 0.31470588, 0.31535697, 0.3165851, 0.31657994, 0.3168897, 0.31790352, 0.31857693, 0.31922302, 0.31991863, 0.32053146, 0.32159615, 0.321619, 0.32229674, 0.32238117, 0.32338658, 0.32437083, 0.32429138, 0.3256261, 0.3269364, 0.32686067)), synth_qualityfactor=((35, 22, 32, 9, 34, 46, 87, 99, 22, 12, 12, 24, 43, 13, 84, 9, 20, 62, 24, 65, 30, 79, 37, 77, 20, 30, 4, 20, 33, 9, 31, 15, 8, 14, 15, 24, 23, 20, 24, 34, 9, 33, 15, 7, 19, 8, 17, 31, 57, 4, 15, 13, 12, 17, 18, 7, 13, 9, 10, 7, 4, 4, 7, 3, 5, 7, 4, 4, 8, 9, 9, 5, 6, 4, 3, 4, 4, 5, 5, 4, 5, 4, 7, 4, 4, 4, 4, 3, 7, 7, 4, 5, 7, 7, 4, 3, 3, 2, 12, 7, 4, 5, 4, 8, 4, 3, 3, 3, 3, 3, 5, 13, 7, 3, 4, 3, 4, 8, 7, 2, 2, 2, 4, 3, 2, 3, 1, 3, 5, 5, 3, 1, 0, 1, 0, 3, 3, 5, 3, 2, 3, 2, 1, 2, 3, 10, 3, 8, 4, 7, 2, 8, 3, 9, 7, 8, 9, 8, 8, 13, 8, 7, 6, 6, 6, 6, 5, 8, 5, 5, 5, 5, 5, 5, 5, 5, 10, 5, 5, 7, 7, 7, 5, 6, 7, 8, 17, 8, 6, 7, 8, 7, 11, 10, 9, 9, 10, 10, 3, 3, 7, 3, 8, 4, 1, 1, 1, 3, 5, 6, 2, 2, 4, 4, 3, 3, 3, 4, 5, 7, 4, 4, 5, 3, 4, 6, 7, 3, 1, 4, 4, 4, 7, 3, 2, 3, 4, 3, 4, 3, 2, 1, 4, 6, 6, 4, 4, 6, 6, 5, 5, 3, 3, 3, 2, 3, 6, 17, 9, 3, 2, 4, 5, 4, 5, 5, 2, 1, 3, 5, 2, 5, 5, 4, 3, 3, 6, 7, 9, 10, 10, 3, 8, 4, 5, 7, 10, 3, 3, 5, 6, 3, 6, 5, 3, 4, 5, 6, 11, 12, 6, 7, 9, 6, 11, 3, 5, 4, 16, 16, 5, 17, 16, 6, 16, 12, 14, 13, 14, 8, 6, 4, 9, 13, 11, 14, 3, 10, 5, 8, 18, 16, 4, 2, 4, 12, 5, 6, 12, 19, 15, 13, 11, 4, 9, 5, 3, 3, 24, 3, 8, 6, 4, 23, 25, 16, 23, 26, 10, 6, 5, 28, 28, 29, 29, 6, 18, 4, 4, 28, 27, 13, 29, 31, 12, 6, 9, 20, 22, 4, 38, 22, 16, 2, 38, 38, 10, 37, 37, 8, 29, 13, 35, 36, 37, 38, 39, 40, 9, 4), (17, 16, 54, 9, 17, 47, 65, 8, 67, 15, 17, 18, 57, 60, 26, 12, 40, 55, 51, 67, 14, 37, 23, 60, 18, 43, 30, 29, 6, 29, 15, 27, 17, 9, 110, 21, 14, 26, 24, 22, 26, 13, 32, 8, 11, 13, 8, 9, 18, 17, 17, 33, 9, 6, 20, 5, 33, 20, 23, 6, 8, 4, 7, 8, 3, 9, 7, 4, 3, 3, 3, 6, 6, 2, 3, 4, 8, 7, 6, 4, 4, 6, 5, 6, 4, 5, 10, 10, 11, 7, 3, 2, 3, 3, 3, 2, 2, 3, 4, 2, 3, 4, 2, 4, 5, 6, 5, 5, 4, 6, 5, 4, 4, 3, 2, 2, 3, 3, 2, 2, 1, 3, 6, 5, 2, 1, 2, 3, 4, 4, 4, 4, 3, 1, 2, 1, 1, 1, 2, 2, 4, 8, 3, 3, 8, 3, 5, 7, 9, 9, 9, 9, 3, 9, 7, 8, 9, 7, 7, 7, 10, 6, 6, 6, 5, 6, 14, 7, 5, 7, 4, 5, 7, 13, 7, 9, 5, 5, 5, 7, 5, 5, 5, 6, 6, 8, 8, 9, 6, 9, 8, 9, 7, 4, 7, 8, 6, 8, 8, 4, 8, 2, 1, 3, 2, 1, 3, 5, 3, 1, 1, 3, 4, 3, 3, 2, 3, 3, 3, 2, 1, 2, 3, 3, 4, 6, 5, 3, 2, 2, 4, 3, 3, 3, 2, 2, 1, 2, 4, 5, 4, 4, 3, 5, 6, 4, 6, 4, 2, 8, 5, 6, 6, 8, 5, 2, 4, 5, 4, 2, 4, 2, 3, 3, 6, 6, 3, 4, 4, 5, 6, 4, 3, 2, 3, 4, 5, 4, 3, 3, 8, 10, 4, 6, 3, 3, 3, 3, 5, 5, 16, 9, 11, 4, 4, 5, 17, 10, 14, 4, 7, 1, 9, 15, 7, 4, 3, 5, 4, 7, 4, 7, 12, 6, 14, 4, 5, 7, 9, 5, 5, 16, 6, 11, 6, 9, 12, 7, 13, 6, 2, 11, 12, 6, 3, 14, 14, 10, 8, 16, 15, 12, 18, 7, 10, 20, 22, 12, 9, 16, 16, 3, 12, 5, 18, 17, 17, 3, 9, 12, 6, 4, 16, 16, 3, 3, 26, 18, 8, 2, 21, 2, 14, 1, 4, 25, 25, 6, 8, 10, 32, 9, 36, 3, 167, 21, 9, 41, 41, 41, 41, 4, 50, 28, 41, 6, 3, 5, 13, 39), (60, 120, 66, 52, 17, 49, 26, 14, 15, 23, 16, 7, 27, 29, 13, 35, 39, 42, 19, 40, 15, 40, 176, 13, 30, 44, 27, 16, 58, 18, 7, 26, 9, 15, 67, 8, 7, 47, 40, 36, 35, 21, 41, 49, 14, 11, 12, 34, 36, 31, 25, 30, 16, 4, 16, 25, 23, 34, 10, 6, 4, 11, 5, 7, 15, 6, 10, 10, 13, 12, 8, 6, 4, 5, 7, 15, 7, 9, 8, 5, 7, 8, 6, 6, 8, 5, 4, 4, 4, 3, 3, 4, 3, 3, 2, 2, 3, 3, 3, 1, 3, 4, 4, 4, 3, 3, 2, 5, 7, 4, 8, 6, 3, 3, 3, 3, 4, 5, 3, 4, 5, 3, 3, 2, 2, 7, 3, 4, 4, 4, 4, 2, 2, 1, 4, 7, 4, 4, 3, 3, 2, 2, 2, 3, 2, 2, 5, 7, 2, 4, 2, 4, 4, 10, 7, 2, 2, 9, 8, 10, 9, 9, 6, 6, 7, 10, 6, 8, 6, 6, 10, 10, 6, 5, 5, 5, 5, 5, 5, 5, 5, 7, 7, 5, 5, 6, 8, 5, 6, 6, 8, 8, 7, 7, 7, 9, 8, 8, 10, 8, 4, 8, 7, 4, 2, 2, 8, 7, 9, 6, 9, 4, 5, 9, 6, 3, 4, 9, 3, 2, 4, 4, 1, 2, 2, 4, 5, 2, 2, 2, 2, 3, 4, 2, 3, 4, 3, 2, 2, 2, 1, 4, 5, 2, 3, 7, 3, 2, 5, 5, 8, 3, 2, 3, 3, 2, 5, 6, 5, 7, 2, 2, 5, 4, 3, 8, 7, 8, 6, 6, 7, 19, 6, 6, 4, 3, 3, 3, 3, 6, 4, 5, 8, 7, 6, 6, 3, 3, 4, 3, 4, 21, 7, 8, 2, 2, 2, 3, 2, 7, 11, 5, 2, 12, 5, 5, 8, 8, 10, 13, 42, 13, 15, 9, 19, 10, 8, 12, 12, 2, 7, 8, 4, 15, 14, 4, 8, 3, 2, 3, 8, 3, 4, 7, 9, 5, 14, 6, 2, 8, 8, 3, 5, 4, 5, 11, 9, 16, 14, 4, 11, 15, 6, 4, 11, 11, 10, 3, 8, 7, 9, 8, 29, 5, 87, 5, 10, 3, 3, 9, 13, 43, 6, 3, 23, 47, 25, 8, 5, 26, 2, 14, 7, 4, 8, 4, 3, 4, 16, 27, 54, 39, 7, 5, 13, 30, 1, 2, 32, 10), (25, 17, 82, 25, 20, 34, 28, 11, 40, 32, 40, 17, 7, 6, 22, 10, 17, 8, 37, 16, 9, 18, 18, 17, 7, 7, 9, 11, 34, 21, 151, 125, 104, 8, 61, 61, 56, 12, 24, 28, 10, 24, 8, 20, 9, 4, 16, 17, 13, 39, 20, 13, 6, 25, 13, 10, 37, 17, 9, 11, 7, 10, 10, 7, 15, 13, 23, 7, 10, 22, 9, 10, 6, 4, 7, 8, 5, 7, 7, 6, 5, 4, 7, 5, 4, 3, 8, 8, 7, 8, 3, 4, 5, 5, 5, 7, 3, 3, 8, 6, 4, 3, 5, 3, 2, 2, 3, 5, 4, 4, 3, 3, 5, 3, 4, 3, 2, 3, 3, 2, 1, 2, 2, 2, 2, 3, 2, 3, 4, 3, 1, 3, 2, 2, 2, 3, 4, 5, 3, 2, 4, 4, 5, 3, 2, 4, 5, 4, 3, 3, 8, 3, 9, 3, 8, 3, 8, 5, 10, 10, 10, 6, 9, 7, 7, 6, 6, 6, 8, 7, 6, 6, 5, 6, 6, 8, 5, 5, 5, 5, 5, 5, 8, 5, 5, 6, 6, 6, 6, 6, 7, 7, 8, 6, 7, 7, 7, 9, 8, 8, 8, 9, 6, 9, 8, 3, 3, 9, 4, 8, 3, 5, 3, 2, 1, 3, 3, 3, 1, 2, 2, 2, 4, 5, 4, 6, 3, 4, 4, 2, 0, 2, 3, 1, 2, 2, 4, 4, 1, 2, 2, 3, 2, 2, 3, 4, 3, 2, 4, 4, 3, 2, 2, 3, 5, 5, 6, 4, 7, 5, 2, 2, 4, 5, 4, 7, 8, 11, 7, 5, 5, 8, 2, 7, 6, 3, 3, 2, 3, 3, 2, 11, 5, 4, 2, 3, 4, 10, 6, 7, 2, 5, 6, 5, 5, 4, 8, 10, 5, 6, 7, 6, 8, 6, 4, 8, 5, 10, 14, 7, 11, 6, 3, 3, 12, 7, 4, 11, 8, 6, 31, 6, 11, 11, 32, 8, 3, 7, 24, 3, 4, 12, 4, 13, 13, 13, 18, 6, 9, 6, 13, 33, 3, 4, 13, 2, 8, 8, 7, 65, 13, 31, 7, 10, 8, 14, 77, 5, 17, 5, 3, 2, 20, 4, 7, 15, 17, 4, 3, 20, 6, 5, 21, 15, 3, 8, 3, 33, 50, 5, 20, 21, 16, 10, 3, 21, 5, 22, 4, 23, 5, 3, 10, 13, 5, 28, 7, 29, 6, 30)), synth_tiltangle=((-0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, -0.61, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84, 0.84), (-0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, -0.41, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 0.59999996, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05, 1.05), (-1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, -1.23, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999, 1.4399999), (-0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, -0.98999995, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68, 1.68)), synth_ntx=(3, 3, 3, 3), synth_heave=(0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, -0.009999999776482582, -0.009999999776482582, -0.009999999776482582, -0.009999999776482582, -0.009999999776482582, -0.009999999776482582), synth_roll=(0.5899999737739563, 0.47999998927116394, 0.3799999952316284, 0.26999998092651367, 0.1599999964237213, -4.230000019073486, -4.289999961853027, -4.349999904632568, -4.409999847412109, -4.46999979019165, -4.519999980926514), synth_pitch=(-0.4899999797344208, -0.5, -0.5, -0.5099999904632568, -0.5199999809265137, -0.4099999964237213, -0.3999999761581421, -0.38999998569488525, -0.3799999952316284, -0.3700000047683716, -0.35999998450279236), synth_yaw=(307.8299865722656, 307.8500061035156, 307.8599853515625, 307.8800048828125, 307.889984130859, 308.5799865722656, 308.5899963378906, 308.6000061035156, 308.6099853515625, 308.6199951171875, 308.6300048828125), synth_altitude=(-23.99238128, -23.991950434852843, -23.97421651, -23.97251081602561), synth_latitude=(47.78895106, 47.788951346363866, 47.788956832232806, 47.78895705141592), synth_longitude=(-122.4772233, -122.4772239100667, -122.47723500815962, -122.47723549195827), synth_xyztime=1495563079, synth_waterline=-0.640, synth_tx_mountroll=0, synth_tx_mountpitch=0, synth_tx_mountyaw=0, synth_rx_mountroll=0, synth_rx_mountpitch=0, synth_rx_mountyaw=0, synth_tx_x=0.00, synth_tx_y=0.00, synth_tx_z=0.00, synth_tx_x_0=0.00, synth_tx_x_1=0.00, synth_tx_x_2=0.00, synth_tx_y_0=-0.0554, synth_tx_y_1=0.0131, synth_tx_y_2=0.0554, synth_tx_z_0=-0.012, synth_tx_z_1=-0.006, synth_tx_z_2=-0.012, synth_rx_x=-0.100, synth_rx_y=-0.304, synth_rx_z=-0.016, synth_rx_x_0=0.011, synth_rx_x_1=0.011, synth_rx_x_2=0.011, synth_rx_y_0=0.00, synth_rx_y_1=0.00, synth_rx_y_2=0.00, synth_rx_z_0=-0.006, synth_rx_z_1=-0.006, synth_rx_z_2=-0.006, serialnum='40111', secondary_serialnum='0', profile=None, secs=('40111',), xyz88_depth=((92.06035 , 91.95807 , 91.88622 , 91.773445, 91.695786, 91.57608 , 91.52661 , 91.81559 , 91.7159 , 91.65144 , 91.54755 , 91.4417 , 91.40188 , 92.308655, 92.223595, 92.167305, 92.038475, 91.97768 , 91.90828 , 91.8051 , 91.15648 , 90.849365, 90.301445, 90.68221 , 90.69038 , 90.34231 , 90.72844 , 90.82467 , 90.8089 , 90.76446 , 90.91836 , 91.21524 , 91.55413 , 91.04521 , 91.31912 , 91.35388 , 90.89974 , 91.26508 , 91.336784, 91.12317 , 91.31172 , 91.51731 , 91.18421 , 91.26309 , 91.3571 , 91.05201 , 90.90386 , 90.9502 , 90.766205, 90.925064, 90.8804 , 90.92283 , 91.026245, 90.94698 , 91.106026, 91.124695, 91.08556 , 90.78457 , 90.80491 , 90.763306, 90.69388 , 90.75102 , 90.543335, 90.72136 , 90.88873 , 90.67829 , 90.57639 , 90.583374, 90.5331 , 90.55636 , 90.62423 , 90.626045, 90.49224 , 90.42357 , 90.45429 , 90.435 , 90.63666 , 90.58172 , 90.513275, 90.52375 , 90.54794 , 90.50012 , 90.36588 , 90.435295, 90.45224 , 90.48081 , 90.46099 , 90.55087 , 90.409454, 90.29325 , 90.467606, 90.43368 , 90.36895 , 90.32243 , 90.408 , 90.45636 , 90.40018 , 90.484314, 90.41933 , 90.456474, 90.48098 , 90.482216, 90.41856 , 90.372604, 90.44945 , 90.46438 , 90.52351 , 90.54598 , 90.51913 , 90.47074 , 90.47021 , 90.247925, 90.513504, 90.5574 , 90.6147 , 90.532425, 90.584625, 90.622246, 90.52737 , 90.40024 , 90.360985, 90.499146, 90.49667 , 90.48808 , 90.48308 , 90.52616 , 90.59036 , 90.615234, 90.48266 , 90.49061 , 90.60594 , 90.57632 , 90.54895 , 90.552704, 90.59347 , 90.633 , 90.66157 , 90.62524 , 90.571915, 90.6113 , 90.61266 , 90.66376 , 90.62608 , 90.6179 , 90.68069 , 90.687454, 90.68652 , 90.762115, 90.755104, 90.65876 , 90.74021 , 90.76615 , 90.71836 , 90.542496, 90.68163 , 90.736305, 90.74869 , 90.7445 , 90.840614, 90.99138 , 90.84078 , 90.727036, 90.79305 , 90.85668 , 90.8976 , 90.92781 , 90.94899 , 90.988686, 90.85856 , 90.919304, 90.929436, 90.98322 , 90.99065 , 91.00754 , 91.02907 , 91.00918 , 91.04935 , 91.06845 , 91.059906, 91.08624 , 91.098045, 91.257545, 91.07654 , 90.91437 , 91.04012 , 90.927574, 91.45697 , 91.414474, 91.30404 , 91.13882 , 91.18989 , 91.20801 , 91.15739 , 91.37682 , 91.40767 , 91.36745 , 91.30865 , 91.33095 , 91.28041 , 91.30064 , 91.29955 , 91.32726 , 91.11231 , 91.32834 , 91.29297 , 91.43916 , 91.40538 , 91.41529 , 91.355804, 91.27971 , 91.33037 , 91.337715, 91.3803 , 91.32011 , 91.30292 , 91.32562 , 91.42844 , 91.45833 , 91.39307 , 91.26412 , 91.29312 , 91.28383 , 91.24967 , 91.22302 , 91.2388 , 91.31284 , 91.36669 , 91.312675, 91.220894, 91.15824 , 91.12612 , 91.06577 , 91.04068 , 90.98903 , 90.86418 , 90.977005, 90.97647 , 90.89353 , 90.82274 , 90.83039 , 90.830734, 90.775635, 90.76201 , 90.994774, 90.875046, 90.739334, 90.7087 , 90.65639 , 90.570206, 90.50629 , 90.47941 , 90.63971 , 90.45104 , 90.37565 , 90.43266 , 90.42596 , 90.244675, 90.15863 , 90.57105 , 90.33566 , 90.06787 , 89.872345, 89.928375, 89.96624 , 89.94741 , 89.861565, 90.05491 , 89.92046 , 89.69613 , 89.59733 , 89.61083 , 89.48251 , 89.406395, 89.40382 , 89.539955, 89.34886 , 89.13139 , 89.111595, 88.989204, 88.93797 , 88.998116, 88.830734, 88.61378 , 88.723915, 88.58792 , 88.343544, 88.09974 , 88.14611 , 88.055374, 87.86159 , 87.74058 , 87.65648 , 87.53995 , 87.45678 , 87.33113 , 87.23661 , 87.17364 , 87.067535, 86.99469 , 86.921875, 86.87371 , 86.82135 , 86.60108 , 86.47631 , 86.16548 , 87.210785, 86.91795 , 86.51953 , 86.384636, 86.164085, 85.73328 , 85.733765, 85.511856, 85.31103 , 85.13922 , 84.88287 , 85.069664, 84.902306, 84.83716 , 84.54372 , 84.29329 , 84.132706, 84.036095, 84.1181 , 83.75122 , 83.51622 , 83.757385, 83.515656, 83.22127 , 83.299 , 82.70851 , 82.81579 , 82.592735, 82.261284, 81.97401 , 81.936714, 81.76866 , 81.93191 , 81.827385, 81.73244 , 81.25381 , 81.20854 , 81.036476, 80.91647 , 80.73524 , 80.47964 , 80.195526, 79.97084 , 79.95673 , 79.93937 , 79.694435, 79.47791 , 79.21095 , 79.10164 , 78.954666, 78.90364 , 78.63229 , 78.509735, 78.502235, 78.19612 , 77.91423 , 77.87622 , 77.67835 , 77.51287 , 77.30734 , 77.26881 , 77.05818 , 76.714066, 76.42623 , 76.412964, 76.209656, 76.070854, 75.8236 , 75.606926, 76.671394, 76.40274 , 76.035126, 75.81483 , 75.68311 , 75.56681 , 75.38909 , 75.28472 , 74.91301 , 74.802704, 74.65428 , 74.52566 , 74.16202 , 74.10487 , 73.96223 , 73.85205 , 73.454796, 73.857155, 73.6232 , 73.450325, 73.31188 , 73.095825, 72.916275, 72.771484, 72.76588 , 72.45702), (90.76799 , 90.699684, 90.59168 , 90.48029 , 90.439064, 90.3572 , 90.60728 , 90.551346, 90.45774 , 90.35882 , 90.2911 , 90.185196, 91.12573 , 91.04257 , 90.95898 , 90.8718 , 90.77804 , 90.71785 , 90.61606 , 90.539474, 90.55688 , 90.31801 , 90.375145, 90.41661 , 90.54392 , 90.46314 , 90.52548 , 90.456795, 90.48739 , 90.3703 , 90.46814 , 90.94431 , 90.62145 , 90.82607 , 90.89088 , 90.647224, 90.91293 , 90.93586 , 91.23371 , 90.91306 , 90.75001 , 90.860985, 90.7694 , 90.74872 , 90.830635, 90.85425 , 90.694885, 90.92879 , 91.19714 , 90.797264, 90.563126, 90.89111 , 90.550575, 90.66674 , 90.75463 , 90.623825, 90.532036, 90.66801 , 90.64047 , 90.69855 , 90.81529 , 90.62576 , 90.5632 , 90.207985, 90.64664 , 90.50894 , 90.5252 , 90.631805, 90.48893 , 90.43077 , 90.46948 , 90.5471 , 90.37574 , 90.343346, 90.486176, 90.63409 , 90.52667 , 90.52872 , 90.54883 , 90.48134 , 90.51672 , 90.453384, 90.487755, 90.28327 , 90.47674 , 90.48725 , 90.422844, 90.51001 , 90.469315, 90.51552 , 90.26333 , 90.37717 , 90.41161 , 90.3975 , 90.470665, 90.38876 , 90.41193 , 90.47366 , 90.43568 , 90.49537 , 90.454025, 90.410446, 90.40083 , 90.437096, 90.40294 , 90.2868 , 90.45612 , 90.494995, 90.49503 , 90.454254, 90.46458 , 90.46353 , 90.49371 , 90.39176 , 90.50826 , 90.48029 , 90.47535 , 90.47531 , 90.51442 , 90.45853 , 90.448875, 90.416954, 90.405594, 90.6139 , 90.563065, 90.55612 , 90.560684, 90.555405, 90.5579 , 90.55316 , 90.51673 , 90.407394, 90.562035, 90.549995, 90.54608 , 90.60099 , 90.59555 , 90.61613 , 90.63474 , 90.61552 , 90.67672 , 90.70908 , 90.69517 , 90.688194, 90.7037 , 90.63726 , 90.66306 , 90.61077 , 90.610664, 90.772255, 90.81744 , 90.91824 , 90.70933 , 90.7257 , 90.56981 , 90.70797 , 90.789215, 90.70954 , 90.858154, 90.85591 , 90.86387 , 90.682495, 90.85793 , 90.846794, 90.89673 , 91.00234 , 91.42256 , 90.94348 , 91.028984, 90.93831 , 90.94021 , 90.982735, 91.04439 , 91.17163 , 91.14848 , 91.15956 , 91.097 , 91.08553 , 91.089455, 91.119255, 91.11483 , 91.073654, 91.03352 , 90.976135, 90.98549 , 91.01371 , 91.28279 , 91.27707 , 91.26153 , 91.189514, 91.3075 , 91.27929 , 91.1737 , 91.26005 , 91.452576, 91.23704 , 91.302605, 91.34197 , 91.28531 , 91.35515 , 91.44755 , 91.345146, 91.33945 , 91.38603 , 91.37782 , 91.40176 , 91.39979 , 91.39724 , 91.32833 , 91.361786, 91.37723 , 91.38641 , 91.480354, 91.413124, 91.55323 , 91.497734, 91.35773 , 91.36033 , 91.2716 , 91.29981 , 91.33824 , 91.33923 , 91.35894 , 91.34029 , 91.4248 , 91.45698 , 91.3257 , 91.17713 , 91.156166, 91.15482 , 91.13092 , 91.117386, 91.10602 , 91.257195, 91.01805 , 90.80598 , 90.756744, 90.73394 , 90.68608 , 90.72127 , 90.79573 , 91.019585, 90.919395, 90.74472 , 90.721695, 90.63733 , 90.69642 , 90.70836 , 90.561165, 90.68271 , 90.52982 , 90.39877 , 90.31636 , 90.39842 , 90.30141 , 90.26272 , 90.270004, 90.3864 , 90.225044, 90.0885 , 90.03745 , 90.08253 , 90.01977 , 89.97255 , 90.15885 , 90.06228 , 89.87726 , 89.749825, 89.72873 , 89.66966 , 89.59129 , 89.52754 , 89.730225, 89.55623 , 89.35894 , 89.286705, 89.280495, 89.14859 , 89.078995, 88.93956 , 88.86052 , 88.97336 , 88.79322 , 88.60602 , 88.388725, 88.31561 , 88.190605, 88.578995, 88.43394 , 88.25276 , 88.19386 , 87.85771 , 88.01282 , 87.73686 , 87.50916 , 87.27425 , 87.346695, 87.40081 , 87.5908 , 87.19848 , 86.85513 , 86.86794 , 86.68015 , 86.5981 , 86.88377 , 86.6903 , 86.47367 , 86.27071 , 86.18382 , 86.05304 , 85.90994 , 85.67452 , 85.61211 , 85.58503 , 85.31088 , 85.3589 , 85.069954, 84.885574, 84.84923 , 84.751205, 84.51449 , 84.44518 , 84.15734 , 83.88921 , 83.79489 , 83.666046, 83.58684 , 83.32456 , 83.32521 , 82.95278 , 82.6214 , 82.57423 , 82.374985, 82.9309 , 82.696594, 82.40665 , 82.285866, 81.9734 , 82.08807 , 81.68611 , 81.51548 , 81.31129 , 81.11197 , 81.02959 , 80.81508 , 80.51678 , 80.25799 , 80.193596, 79.99877 , 79.90879 , 79.7146 , 79.51562 , 79.1962 , 79.17775 , 79.01903 , 78.85216 , 78.683205, 78.568695, 78.25564 , 78.01019 , 77.96847 , 77.86508 , 77.622345, 77.442635, 77.28628 , 77.04939 , 76.945816, 76.637115, 76.50665 , 76.23733 , 77.12329 , 76.99095 , 76.634674, 76.56528 , 76.355705, 76.1433 , 75.99037 , 75.679504, 75.46275 , 75.25679 , 75.248405, 75.04045 , 74.90954 , 74.717705, 74.37548 , 74.31669 , 74.57175 , 74.3464 , 74.20926 , 74.02851 , 73.847664, 73.780525, 73.74633 , 73.74628 , 73.743744, 73.66323 , 73.65715 , 73.64867 , 73.60185 , 73.62824), (92.339935, 92.322266, 92.328224, 92.22129 , 92.30532 , 92.20998 , 92.20413 , 92.196175, 92.182625, 91.99864 , 92.0118 , 91.981705, 91.97824 , 91.97947 , 91.935974, 91.91858 , 91.94193 , 91.92594 , 91.90251 , 91.903725, 91.87108 , 91.798096, 91.784256, 91.77543 , 91.75851 , 91.76525 , 91.73821 , 91.70663 , 91.694374, 91.430214, 91.637695, 91.517265, 91.28923 , 91.39731 , 91.305855, 91.170334, 91.574875, 91.51844 , 91.68243 , 91.60425 , 91.76375 , 91.82473 , 91.65652 , 91.55454 , 91.32555 , 91.387474, 91.46497 , 91.22743 , 91.118576, 90.80923 , 91.05724 , 91.13589 , 91.11162 , 91.27635 , 91.24103 , 91.01473 , 91.0186 , 91.132614, 90.97975 , 91.04484 , 91.12385 , 91.12933 , 91.068115, 91.1347 , 90.83643 , 90.81577 , 90.877785, 91.033325, 91.04858 , 91.07109 , 90.95782 , 90.895966, 90.912155, 90.89144 , 90.90009 , 90.78678 , 90.84379 , 90.80735 , 90.62205 , 90.70013 , 90.85232 , 90.75824 , 90.67085 , 90.75713 , 90.710106, 90.67348 , 90.680504, 90.69564 , 90.57216 , 90.57354 , 90.66245 , 90.75777 , 90.68726 , 90.626816, 90.59941 , 90.57577 , 90.51432 , 90.59387 , 90.54671 , 90.538185, 90.51944 , 90.5536 , 90.57787 , 90.52256 , 90.56973 , 90.59297 , 90.56179 , 90.580124, 90.430984, 90.46884 , 90.51945 , 90.46759 , 90.482285, 90.46043 , 90.528435, 90.5738 , 90.580055, 90.640076, 90.64692 , 90.55135 , 90.5796 , 90.6063 , 90.611084, 90.56248 , 90.59759 , 90.55712 , 90.524704, 90.5435 , 90.60372 , 90.5734 , 90.52104 , 90.514046, 90.55673 , 90.59034 , 90.58229 , 90.5304 , 90.569534, 90.56199 , 90.50856 , 90.464066, 90.52476 , 90.55803 , 90.664764, 90.64223 , 90.57922 , 90.66778 , 90.71366 , 90.686386, 90.67269 , 90.686745, 90.66004 , 90.666725, 90.62826 , 90.51183 , 90.648155, 90.661514, 90.65974 , 90.62551 , 90.83101 , 90.44326 , 90.61156 , 90.639465, 90.59474 , 90.70388 , 90.84568 , 90.90167 , 90.82485 , 90.885185, 90.822716, 90.93222 , 91.12553 , 91.11021 , 90.87452 , 90.89129 , 90.90866 , 90.888054, 90.92441 , 90.92761 , 90.943405, 90.966805, 90.98222 , 91.15343 , 91.118515, 91.055214, 91.02614 , 90.96989 , 91.0645 , 91.01385 , 91.04147 , 91.02144 , 90.980606, 91.11184 , 91.04737 , 91.11434 , 91.09558 , 91.23381 , 91.2389 , 91.19597 , 91.27843 , 91.24501 , 91.24553 , 91.30214 , 91.12787 , 91.26025 , 91.239716, 91.245056, 91.01371 , 91.32769 , 91.2733 , 91.3571 , 91.390015, 91.3011 , 91.27436 , 91.37431 , 91.22913 , 91.3055 , 91.286545, 91.33157 , 91.290825, 91.26603 , 91.22722 , 91.259766, 91.29276 , 91.288506, 91.283165, 91.21455 , 91.22721 , 91.23385 , 91.20379 , 91.185265, 91.16436 , 91.18287 , 91.375534, 91.269554, 91.12509 , 91.06354 , 91.06241 , 91.039986, 91.00824 , 90.968666, 90.885155, 90.84155 , 90.789665, 90.69835 , 90.584015, 90.71341 , 90.81229 , 90.81586 , 90.80015 , 90.71469 , 90.675804, 90.63881 , 90.5206 , 90.464066, 90.48231 , 90.453285, 90.38126 , 90.36569 , 90.34755 , 90.35218 , 90.25718 , 90.11602 , 90.083145, 90.06067 , 90.01825 , 90.00809 , 89.81909 , 89.608025, 89.68572 , 89.713394, 89.61133 , 89.65326 , 89.66421 , 89.54129 , 89.51829 , 89.43354 , 89.31858 , 89.21713 , 89.21449 , 89.20785 , 89.147385, 89.05625 , 88.96352 , 89.0615 , 88.84715 , 88.70179 , 88.733864, 88.68902 , 88.60694 , 88.485176, 88.25449 , 87.99938 , 88.15909 , 88.01017 , 88.00418 , 87.895386, 87.797806, 87.84923 , 87.663956, 87.572624, 87.52363 , 87.4145 , 87.19557 , 86.88994 , 87.086914, 86.96978 , 86.86788 , 86.78021 , 86.70726 , 86.62763 , 86.56758 , 86.74693 , 86.40191 , 86.242165, 86.04191 , 85.916664, 85.784225, 85.619 , 85.73769 , 85.53689 , 85.3364 , 85.47828 , 85.34444 , 85.092545, 85.232216, 85.05706 , 84.830956, 84.760994, 84.49129 , 84.258766, 84.2156 , 84.05372 , 83.76075 , 83.70232 , 83.51019 , 83.40005 , 83.3252 , 83.12656 , 82.90322 , 82.83502 , 82.68195 , 82.607574, 82.3671 , 82.26068 , 82.00021 , 81.950584, 81.55112 , 81.42023 , 81.65302 , 81.3855 , 81.33902 , 81.19015 , 80.929405, 80.615654, 80.53312 , 80.303474, 80.045975, 79.95131 , 79.71385 , 79.5632 , 79.29453 , 79.21584 , 79.034645, 79.0033 , 78.62548 , 78.69894 , 78.34152 , 78.39352 , 78.15288 , 78.06105 , 77.8162 , 77.66907 , 77.549446, 77.38209 , 77.32287 , 76.96743 , 77.05054 , 76.95519 , 76.6866 , 76.60885 , 76.60382 , 76.21552 , 76.18537 , 75.928276, 75.96425 , 75.60656 , 75.62784 , 75.4247 , 75.12972 , 75.06333 , 75.04375 , 74.67582 , 74.61657 , 74.37483 , 74.22055 , 74.18366 , 74.08825 , 73.83243 , 73.7463 , 73.63608), (92.02544 , 91.993835, 92.011116, 91.97145 , 91.890945, 91.88841 , 91.88356 , 91.86322 , 91.848595, 91.59571 , 91.60843 , 91.57048 , 91.5758 , 91.574104, 91.52298 , 91.5119 , 91.5372 , 91.51016 , 91.48616 , 91.49448 , 91.45488 , 91.45282 , 91.44794 , 91.428375, 91.41055 , 91.42348 , 91.388054, 91.25345 , 91.24602 , 90.69503 , 90.95363 , 90.86626 , 90.85947 , 90.88236 , 90.73388 , 90.95244 , 90.77044 , 91.025795, 90.807785, 91.03213 , 90.98665 , 90.97533 , 90.908676, 90.946465, 90.67809 , 91.068855, 91.00808 , 91.05022 , 91.0858 , 90.88084 , 90.664795, 90.69797 , 90.89663 , 91.12245 , 90.69989 , 90.95743 , 91.00739 , 90.95974 , 90.99817 , 90.93962 , 90.90883 , 90.994064, 90.96457 , 90.98862 , 91.0408 , 90.92008 , 90.84303 , 90.84206 , 90.848175, 90.271416, 90.608665, 90.726425, 90.77846 , 90.85507 , 90.93323 , 90.79582 , 90.757484, 90.739845, 90.748276, 90.65674 , 90.65121 , 90.6833 , 90.72623 , 90.635056, 90.6143 , 90.577415, 90.57761 , 90.647766, 90.79329 , 90.60183 , 90.51719 , 90.62802 , 90.63425 , 90.57563 , 90.51822 , 90.46891 , 90.43921 , 90.53054 , 90.62772 , 90.51487 , 90.50862 , 90.5167 , 90.427124, 90.40234 , 90.448425, 90.47277 , 90.51874 , 90.5524 , 90.50724 , 90.51949 , 90.52607 , 90.48709 , 90.5377 , 90.57171 , 90.57595 , 90.53393 , 90.50255 , 90.53965 , 90.585915, 90.54923 , 90.53678 , 90.553246, 90.55081 , 90.51576 , 90.532875, 90.51309 , 90.58023 , 90.59121 , 90.599045, 90.53245 , 90.52635 , 90.571304, 90.58161 , 90.61211 , 90.608475, 90.5444 , 90.58551 , 90.63973 , 90.581505, 90.5086 , 90.504524, 90.591835, 90.63792 , 90.64173 , 90.68373 , 90.64793 , 90.62553 , 90.6718 , 90.702324, 90.723595, 90.695145, 90.657364, 90.63514 , 90.73557 , 90.79908 , 90.800674, 90.70571 , 90.757324, 90.70759 , 90.65074 , 90.573135, 90.63558 , 90.73752 , 90.62934 , 90.75623 , 90.74082 , 90.804344, 90.92873 , 90.945786, 90.81971 , 90.8963 , 90.91217 , 90.9142 , 90.9678 , 90.94695 , 91.02019 , 90.89752 , 90.96081 , 90.9767 , 90.97669 , 91.041695, 91.04195 , 91.2216 , 91.12451 , 91.04092 , 91.0992 , 91.064125, 91.10935 , 91.00174 , 91.01525 , 91.055115, 90.999535, 91.14831 , 91.06075 , 91.17852 , 91.227974, 91.18878 , 91.271614, 91.227066, 91.307846, 91.171585, 91.2082 , 91.2662 , 91.395676, 91.26537 , 91.371445, 91.322586, 91.18805 , 91.31594 , 91.401245, 91.33035 , 91.330154, 91.30897 , 91.33139 , 91.31072 , 91.352196, 91.30424 , 91.300224, 91.297035, 91.272675, 91.28969 , 91.29162 , 91.324104, 91.328285, 91.26252 , 91.25737 , 91.22881 , 91.23719 , 91.24871 , 91.21593 , 91.21447 , 91.16678 , 91.15248 , 91.131004, 91.17571 , 91.105064, 91.0915 , 91.032005, 91.04547 , 91.050964, 91.03684 , 90.976265, 90.92144 , 90.84226 , 90.764465, 90.79191 , 90.744736, 90.75651 , 90.756226, 90.702545, 90.64719 , 90.61822 , 90.585655, 90.510765, 90.49643 , 90.49278 , 90.46256 , 90.342514, 90.23745 , 90.27135 , 90.17029 , 90.12138 , 90.00405 , 89.967674, 90.01573 , 89.90634 , 89.81819 , 89.816536, 89.83915 , 89.829735, 89.631966, 89.557465, 89.58909 , 89.551834, 89.445145, 89.41758 , 89.38539 , 89.25898 , 89.17636 , 89.10506 , 88.92527 , 88.829956, 89.009705, 88.91542 , 88.83157 , 88.860344, 88.80828 , 88.72012 , 88.58152 , 88.4101 , 88.45015 , 88.3517 , 88.234764, 88.010155, 87.89395 , 87.86337 , 87.75718 , 87.81051 , 87.73383 , 87.654915, 87.63792 , 87.47771 , 87.292114, 87.33459 , 87.10768 , 86.90445 , 86.93663 , 86.77891 , 86.643654, 86.58507 , 86.5765 , 86.60649 , 86.44003 , 86.25458 , 86.2249 , 86.309494, 85.96625 , 85.71317 , 85.65353 , 85.610565, 85.6418 , 85.40645 , 85.24648 , 85.14928 , 85.00052 , 85.14198 , 84.84654 , 84.55347 , 84.748604, 84.33241 , 83.936386, 84.01145 , 83.799324, 83.691086, 83.549194, 83.4314 , 83.37993 , 83.16611 , 82.92861 , 82.66585 , 82.75583 , 82.51021 , 82.57725 , 82.33577 , 82.14563 , 82.130615, 81.921394, 81.736115, 81.45851 , 81.42854 , 81.2799 , 81.074394, 80.93803 , 80.61687 , 80.46829 , 80.43173 , 80.32678 , 80.107475, 79.99081 , 80.02226 , 79.69663 , 79.456406, 79.45876 , 79.37041 , 78.90856 , 79.07421 , 78.7296 , 78.72988 , 78.46358 , 78.30841 , 77.99881 , 77.92456 , 77.81878 , 77.64457 , 77.58277 , 77.43197 , 77.1765 , 76.91593 , 76.82219 , 76.770836, 76.570724, 76.440346, 76.40973 , 76.110405, 75.88642 , 75.7994 , 75.666985, 75.5265 , 75.38955 , 75.239075, 75.19305 , 74.895226, 74.79635 , 74.511986, 74.446625, 74.41249 , 74.08843 , 74.13188 , 74.1291 , 73.84215)), xyz88_acrosstrack=((-232.62158 , -231.30997 , -229.98645 , -228.6795 , -227.35896 , -226.05576 , -224.72432 , -223.25398 , -221.94582 , -220.62047 , -219.31186 , -218.00221 , -216.66704 , -214.92795 , -213.61061 , -212.28104 , -210.98543 , -209.65836 , -208.33536 , -207.02545 , -204.52931 , -202.91203 , -200.67534 , -200.2468 , -199.0931 , -197.32823 , -196.84328 , -195.90344 , -194.72227 , -193.41537 , -192.54117 , -191.12758 , -190.58348 , -188.44798 , -187.86824 , -186.64693 , -184.67987 , -184.15242 , -182.33142 , -180.8244 , -179.97351 , -179.09216 , -177.39139 , -176.27791 , -174.55582 , -172.82053 , -171.4015 , -170.292 , -166.17287 , -165.24649 , -164.0354 , -162.86182 , -161.87819 , -160.57874 , -159.58362 , -158.41821 , -157.1598 , -155.4729 , -154.29068 , -153.01816 , -151.71431 , -150.51762 , -149.016 , -148.05183 , -147.08453 , -145.58443 , -144.22128 , -142.98877 , -141.73863 , -140.50407 , -139.39734 , -138.14195 , -136.70546 , -135.38692 , -134.13087 , -132.86458 , -131.39888 , -130.11946 , -128.74385 , -127.54324 , -126.28558 , -124.94505 , -123.50876 , -121.8826 , -120.65209 , -119.39639 , -118.14999 , -116.973724 , -115.56676 , -114.122345 , -112.671 , -111.32168 , -110.00546 , -108.69169 , -107.46873 , -106.26015 , -104.917206 , -103.3863 , -102.025185 , -100.76935 , -99.51263 , -98.20902 , -96.86311 , -95.51827 , -93.963036 , -92.69178 , -91.456985 , -90.16704 , -88.83731 , -87.492386 , -86.20518 , -84.69755 , -83.32244 , -82.07486 , -80.7944 , -79.4139 , -78.14662 , -76.85292 , -75.49061 , -74.041336 , -72.69091 , -71.22072 , -69.887276 , -68.57123 , -67.247475 , -65.95285 , -64.680885 , -63.359734 , -61.975876 , -60.657017 , -59.157017 , -57.811516 , -56.460857 , -55.147106 , -53.80591 , -52.494434 , -51.18493 , -49.830715 , -48.484756 , -47.15947 , -45.83875 , -44.27867 , -42.929043 , -41.590256 , -40.298176 , -38.93553 , -37.6098 , -36.305416 , -34.941498 , -33.561275 , -32.259224 , -30.91018 , -29.546665 , -28.144218 , -26.830492 , -25.48297 , -24.152693 , -22.60731 , -21.282543 , -19.956234 , -18.556664 , -17.193779 , -15.838551 , -14.487753 , -13.159468 , -11.796595 , -10.436882 , -9.066825 , -7.701584 , -6.357174 , -4.9941387 , -3.6186657 , -2.2579048 , -0.8978571 , 0.47828665, 1.8386322 , 3.2174845 , 4.599013 , 5.964562 , 7.3355737 , 8.709359 , 10.08831 , 11.43276 , 12.779663 , 14.194792 , 15.540902 , 17.01311 , 18.39095 , 19.746851 , 21.092619 , 22.278051 , 23.66912 , 25.032242 , 26.486448 , 27.878534 , 29.244947 , 30.618883 , 31.994158 , 33.35903 , 34.742126 , 36.13417 , 37.538567 , 38.80981 , 40.30284 , 41.683167 , 42.911804 , 44.308098 , 45.69388 , 47.0232 , 48.380962 , 49.80319 , 51.20409 , 52.609303 , 53.96087 , 55.333706 , 56.75272 , 57.969753 , 59.358524 , 60.703594 , 61.999763 , 63.425835 , 64.80872 , 66.15428 , 67.52411 , 68.925125 , 70.389404 , 71.555374 , 72.90957 , 74.23022 , 75.56781 , 76.94872 , 78.298744 , 79.667015 , 80.99905 , 82.28814 , 83.46859 , 84.87751 , 86.171455 , 87.49968 , 88.88907 , 90.283325 , 91.62838 , 92.99412 , 94.27514 , 95.5677 , 96.79838 , 98.15546 , 99.46979 , 100.73511 , 102.08342 , 103.450905 , 104.62229 , 105.8525 , 107.11335 , 108.58482 , 109.975845 , 111.16416 , 112.39845 , 113.89274 , 114.98288 , 116.00317 , 117.1339 , 118.611885 , 120.04076 , 121.45769 , 122.71399 , 123.83041 , 125.00324 , 126.06899 , 127.32279 , 128.70308 , 129.95427 , 131.19754 , 132.56558 , 133.65294 , 134.71867 , 135.75714 , 137.06529 , 138.27763 , 139.567 , 141.04463 , 142.14029 , 143.16924 , 144.75752 , 145.8937 , 146.86356 , 147.78764 , 149.28075 , 150.48865 , 151.52957 , 152.64905 , 153.9082 , 155.06442 , 156.23175 , 157.46373 , 158.63998 , 159.82349 , 161.0686 , 162.26343 , 163.54105 , 164.81703 , 166.09743 , 166.9283 , 168.1611 , 168.76283 , 169.30722 , 169.95233 , 170.53963 , 171.58693 , 172.3963 , 172.78865 , 174.06036 , 174.96706 , 175.92662 , 176.7251 , 177.50974 , 178.44875 , 179.35751 , 180.56718 , 181.22627 , 181.90334 , 182.78116 , 183.97707 , 185.49408 , 185.86246 , 186.52768 , 187.57565 , 188.32538 , 188.78792 , 190.36876 , 190.0739 , 191.6611 , 192.40192 , 192.895 , 193.31293 , 194.60023 , 195.39854 , 195.9762 , 197.11958 , 198.11649 , 198.09872 , 199.13301 , 199.96245 , 200.83089 , 201.6532 , 202.1054 , 202.5788 , 203.11575 , 204.39618 , 205.58301 , 206.18622 , 206.87462 , 207.22519 , 208.20573 , 208.9892 , 210.03513 , 210.50417 , 211.3737 , 212.6544 , 212.92934 , 213.2718 , 214.26942 , 214.95288 , 215.61818 , 216.2915 , 217.32849 , 217.8841 , 218.07657 , 218.31253 , 219.32535 , 219.91737 , 220.70541 , 221.07133 , 221.64581 , 222.44064 , 222.75261 , 222.65382 , 223.10591 , 223.94681 , 224.70963 , 225.17964 , 225.99545 , 225.88785 , 226.69408 , 227.39075 , 227.8988 , 227.81749 , 228.92896 , 229.41988 , 230.25523 , 229.81483 , 231.05933 , 231.25836 , 231.77765 , 232.28165 , 232.80597 , 233.31442 , 233.80792 , 234.88411 , 234.71631), (-229.49791 , -228.19116 , -226.90044 , -225.61136 , -224.29446 , -222.99823 , -221.5617 , -220.25046 , -218.95293 , -217.66031 , -216.35495 , -215.06592 , -213.33284 , -212.03262 , -210.73524 , -209.4375 , -208.14037 , -206.83142 , -205.54333 , -204.2423 , -203.16335 , -201.60794 , -200.54787 , -199.46309 , -198.57639 , -197.32693 , -196.22124 , -195.00842 , -193.85652 , -192.47893 , -191.49287 , -189.63513 , -187.89091 , -187.09517 , -186.09724 , -184.40123 , -183.74661 , -182.61646 , -181.96791 , -180.25266 , -178.79338 , -177.73262 , -176.4308 , -175.1396 , -174.13043 , -172.30437 , -170.86902 , -170.0452 , -169.29248 , -167.45639 , -165.86717 , -164.52316 , -162.78871 , -161.76248 , -160.69345 , -159.25195 , -157.88974 , -156.32458 , -155.0521 , -153.9379 , -152.93584 , -151.37337 , -150.04189 , -148.24608 , -146.58287 , -145.20523 , -143.97151 , -142.89893 , -141.50607 , -140.20857 , -139.06274 , -137.88367 , -136.44266 , -135.1332 , -134.04602 , -132.97908 , -131.59515 , -129.9152 , -128.66692 , -127.35833 , -126.11876 , -124.80859 , -123.55544 , -122.04066 , -120.563065 , -119.330086 , -117.98046 , -116.803 , -115.52688 , -114.28812 , -112.74206 , -111.14285 , -109.949684 , -108.67592 , -107.43885 , -106.11895 , -104.83003 , -103.63497 , -102.26705 , -100.72356 , -99.39556 , -98.07922 , -96.759636 , -95.50305 , -94.157875 , -92.78022 , -91.30528 , -90.03211 , -88.7648 , -87.395004 , -86.11964 , -84.78781 , -83.50839 , -82.16271 , -80.62651 , -79.296684 , -77.98224 , -76.688354 , -75.41167 , -74.02574 , -72.69913 , -71.348305 , -70.00777 , -68.61003 , -67.25227 , -65.92097 , -64.606995 , -63.29357 , -61.975903 , -60.6482 , -59.295124 , -57.896408 , -56.178234 , -54.85725 , -53.507763 , -52.195087 , -50.870525 , -49.5518 , -48.24753 , -46.894375 , -45.606678 , -44.25364 , -42.915108 , -41.575947 , -40.261497 , -38.867878 , -37.553875 , -36.199646 , -34.862064 , -33.558105 , -32.242054 , -30.917496 , -29.500338 , -28.13754 , -26.75521 , -25.432854 , -24.121428 , -22.741076 , -21.4283 , -20.067785 , -18.70134 , -17.326012 , -15.989767 , -14.447754 , -13.122668 , -11.769483 , -10.430127 , -9.026256 , -7.6793623, -6.3056045, -4.9589334, -3.5829494, -2.223406 , -0.8463392, 0.5318618, 1.8947171, 3.2718642, 4.6356425, 6.002341 , 7.3741493, 8.746894 , 10.103333 , 11.463251 , 12.847746 , 14.223967 , 15.414743 , 16.839336 , 18.22123 , 19.575766 , 20.961195 , 22.34793 , 23.728905 , 25.078077 , 26.493914 , 27.934477 , 29.245134 , 30.659613 , 32.041233 , 33.404423 , 34.828205 , 36.23778 , 37.59043 , 38.972977 , 40.372932 , 41.766678 , 43.15288 , 44.567257 , 45.94986 , 47.277042 , 48.696327 , 50.104065 , 51.510353 , 52.94999 , 54.30122 , 55.293827 , 56.66421 , 57.971714 , 59.34231 , 60.670902 , 62.1006 , 63.50721 , 64.89884 , 66.28525 , 67.66504 , 68.875046 , 70.30908 , 71.58528 , 72.86399 , 74.241425 , 75.63242 , 77.02142 , 78.413086 , 79.79495 , 80.9972 , 82.18315 , 83.38337 , 84.71718 , 86.061104 , 87.4435 , 88.85918 , 90.32701 , 91.59998 , 92.8752 , 94.09085 , 95.44957 , 96.767456 , 98.22179 , 99.60801 , 100.84867 , 102.01516 , 103.23901 , 104.436485 , 105.74837 , 107.236824 , 108.524765 , 109.833824 , 111.29697 , 112.34738 , 113.516594 , 114.72859 , 116.07185 , 117.518364 , 118.84439 , 120.1627 , 121.36983 , 122.60781 , 123.695656 , 124.87728 , 126.27529 , 127.541435 , 128.79237 , 130.138 , 131.30388 , 132.41685 , 133.45378 , 134.74625 , 136.10825 , 137.29749 , 138.54477 , 139.69989 , 140.91527 , 142.52264 , 143.67912 , 144.72287 , 145.7252 , 146.9797 , 148.10536 , 148.93813 , 150.04326 , 151.09995 , 152.3205 , 153.07158 , 154.75804 , 155.57697 , 156.55301 , 157.46423 , 158.1717 , 159.69447 , 161.48428 , 162.01881 , 162.64888 , 164.02678 , 164.97438 , 166.27107 , 167.3813 , 168.34183 , 169.20175 , 170.16977 , 171.38425 , 172.37311 , 173.42223 , 174.21973 , 175.45564 , 175.93298 , 176.51877 , 178.01416 , 178.74098 , 179.61096 , 180.81169 , 181.97394 , 182.6865 , 183.85608 , 184.47238 , 185.13757 , 186.19539 , 187.1871 , 188.38185 , 189.0928 , 190.32379 , 190.70866 , 191.19475 , 192.34346 , 193.14412 , 193.89261 , 194.52391 , 195.12233 , 196.03604 , 196.41254 , 198.0906 , 198.26134 , 199.084 , 199.73592 , 200.50308 , 201.47467 , 202.12827 , 202.57617 , 203.02654 , 204.18085 , 204.80513 , 205.90738 , 206.5461 , 207.28368 , 207.60616 , 208.83101 , 209.58844 , 210.32721 , 211.0571 , 211.9402 , 212.19344 , 212.63206 , 213.82576 , 214.65425 , 215.11519 , 215.74289 , 216.55608 , 216.9299 , 217.79114 , 218.18944 , 218.98691 , 219.16196 , 219.5632 , 220.36789 , 220.3019 , 221.41278 , 221.77107 , 222.36336 , 222.89293 , 223.08022 , 223.55002 , 224.05188 , 225.14162 , 225.64743 , 226.26595 , 226.82831 , 226.81079 , 227.65683 , 228.44324 , 228.79062 , 229.27527 , 229.7648 , 230.25043 , 231.22841 , 232.31165 , 233.38396 , 234.45695 , 235.55438 , 236.62805 , 237.70259 , 238.78908 , 239.85281), (-2.42026947e+02, -2.40680084e+02, -2.39324097e+02, -2.38011124e+02, -2.36635864e+02, -2.35356094e+02, -2.34005066e+02, -2.32652588e+02, -2.31301819e+02, -2.30021957e+02, -2.28665497e+02, -2.27324173e+02, -2.25972153e+02, -2.24615295e+02, -2.23279678e+02, -2.21933334e+02, -2.20572281e+02, -2.19220001e+02, -2.17878387e+02, -2.16524200e+02, -2.15184418e+02, -2.13862015e+02, -2.12514038e+02, -2.11159790e+02, -2.09815720e+02, -2.08459152e+02, -2.07116653e+02, -2.05774689e+02, -2.04426514e+02, -2.02518585e+02, -2.01685059e+02, -2.00127502e+02, -1.98451248e+02, -1.97424484e+02, -1.95895584e+02, -1.94293457e+02, -1.93864426e+02, -1.92452820e+02, -1.91429657e+02, -1.90004715e+02, -1.89006424e+02, -1.87816620e+02, -1.86149612e+02, -1.84572433e+02, -1.82836456e+02, -1.81708572e+02, -1.80546936e+02, -1.78770203e+02, -1.77258041e+02, -1.75317947e+02, -1.74472504e+02, -1.73313705e+02, -1.71965591e+02, -1.70934402e+02, -1.69608597e+02, -1.67877533e+02, -1.66593140e+02, -1.65446838e+02, -1.63906021e+02, -1.62700882e+02, -1.61541229e+02, -1.60201843e+02, -1.58829666e+02, -1.57628754e+02, -1.55748886e+02, -1.54432800e+02, -1.53212463e+02, -1.52166672e+02, -1.50885864e+02, -1.49585617e+02, -1.47970596e+02, -1.46575668e+02, -1.45267960e+02, -1.43927643e+02, -1.42641602e+02, -1.41181015e+02, -1.39950378e+02, -1.38597717e+02, -1.36990555e+02, -1.35791229e+02, -1.34706284e+02, -1.33242523e+02, -1.31804977e+02, -1.30584213e+02, -1.29192932e+02, -1.27832176e+02, -1.26512932e+02, -1.25204460e+02, -1.23738731e+02, -1.22414032e+02, -1.21184685e+02, -1.19980530e+02, -1.18561485e+02, -1.17152000e+02, -1.15796890e+02, -1.14473602e+02, -1.13073601e+02, -1.11699997e+02, -1.10322311e+02, -1.09011124e+02, -1.07663017e+02, -1.06360313e+02, -1.05068428e+02, -1.03703018e+02, -1.02433975e+02, -1.01116631e+02, -9.97721405e+01, -9.84599533e+01, -9.69977875e+01, -9.57120285e+01, -9.44149551e+01, -9.30405579e+01, -9.16691437e+01, -9.03291779e+01, -8.90708160e+01, -8.77813568e+01, -8.64745560e+01, -8.51716919e+01, -8.38710861e+01, -8.24247208e+01, -8.10434494e+01, -7.97324829e+01, -7.84250412e+01, -7.70325851e+01, -7.57307510e+01, -7.43211517e+01, -7.29421997e+01, -7.16371765e+01, -7.03025742e+01, -6.89409561e+01, -6.75812759e+01, -6.62261963e+01, -6.49255676e+01, -6.36163635e+01, -6.22685013e+01, -6.09096718e+01, -5.95799980e+01, -5.82420464e+01, -5.68057404e+01, -5.54442863e+01, -5.41395187e+01, -5.28248940e+01, -5.15351830e+01, -5.01880531e+01, -4.88159523e+01, -4.75146484e+01, -4.61959190e+01, -4.48514328e+01, -4.34907837e+01, -4.21015053e+01, -4.07415657e+01, -3.93982811e+01, -3.80502357e+01, -3.66440926e+01, -3.53528252e+01, -3.40122566e+01, -3.26609917e+01, -3.13061409e+01, -3.00254555e+01, -2.85575047e+01, -2.72680454e+01, -2.59275780e+01, -2.45651913e+01, -2.32482185e+01, -2.19285355e+01, -2.05869808e+01, -1.92155361e+01, -1.78201656e+01, -1.64532642e+01, -1.51070089e+01, -1.37925367e+01, -1.24340782e+01, -1.10445881e+01, -9.68760586e+00, -8.33431053e+00, -6.98122215e+00, -5.64143372e+00, -4.27921867e+00, -2.91905975e+00, -1.55971444e+00, -2.16057450e-01, 1.15277898e+00, 2.51463461e+00, 3.86889529e+00, 5.22230101e+00, 6.58459520e+00, 7.94595098e+00, 9.29845047e+00, 1.06630421e+01, 1.20107365e+01, 1.33656244e+01, 1.47479982e+01, 1.61056499e+01, 1.74167614e+01, 1.87636223e+01, 2.01622143e+01, 2.15159645e+01, 2.28667622e+01, 2.42645893e+01, 2.56032467e+01, 2.69665070e+01, 2.83585663e+01, 2.96657085e+01, 3.10724831e+01, 3.24179344e+01, 3.37904282e+01, 3.50612602e+01, 3.65407104e+01, 3.78760452e+01, 3.92840843e+01, 4.06682892e+01, 4.19295273e+01, 4.32769890e+01, 4.46821442e+01, 4.59758949e+01, 4.73677635e+01, 4.87228966e+01, 5.01092148e+01, 5.14655800e+01, 5.27963524e+01, 5.41448441e+01, 5.55138130e+01, 5.68300629e+01, 5.81847115e+01, 5.95523720e+01, 6.08553352e+01, 6.22305145e+01, 6.35782318e+01, 6.49142151e+01, 6.62769699e+01, 6.76081619e+01, 6.89890976e+01, 7.04253845e+01, 7.17051010e+01, 7.29569855e+01, 7.42493057e+01, 7.56361847e+01, 7.69724503e+01, 7.83050842e+01, 7.96373215e+01, 8.09198303e+01, 8.21400604e+01, 8.34176025e+01, 8.46899948e+01, 8.59239120e+01, 8.73857346e+01, 8.88393250e+01, 9.01857147e+01, 9.15343399e+01, 9.27053146e+01, 9.40334320e+01, 9.53073654e+01, 9.65221939e+01, 9.77862625e+01, 9.91614227e+01, 1.00458382e+02, 1.01725456e+02, 1.03035706e+02, 1.04361702e+02, 1.05696739e+02, 1.06899506e+02, 1.08062614e+02, 1.09363976e+02, 1.10666710e+02, 1.11919243e+02, 1.13103477e+02, 1.14202881e+02, 1.15250481e+02, 1.16641304e+02, 1.17990685e+02, 1.19186195e+02, 1.20534439e+02, 1.21873940e+02, 1.22958237e+02, 1.24235802e+02, 1.25448769e+02, 1.26574089e+02, 1.27746902e+02, 1.29026413e+02, 1.30317383e+02, 1.31550201e+02, 1.32650360e+02, 1.33811478e+02, 1.35287064e+02, 1.36242569e+02, 1.37306061e+02, 1.38626999e+02, 1.39887466e+02, 1.40996948e+02, 1.42115494e+02, 1.43004990e+02, 1.43863510e+02, 1.45428101e+02, 1.46436844e+02, 1.47707047e+02, 1.48809174e+02, 1.49938293e+02, 1.51162704e+02, 1.52106476e+02, 1.53154266e+02, 1.54360489e+02, 1.55415695e+02, 1.56281616e+02, 1.56935806e+02, 1.58580948e+02, 1.59590408e+02, 1.60649185e+02, 1.61746445e+02, 1.62820465e+02, 1.63889664e+02, 1.65008041e+02, 1.66593750e+02, 1.67188553e+02, 1.68079208e+02, 1.68898804e+02, 1.69874557e+02, 1.70847015e+02, 1.71763809e+02, 1.73190384e+02, 1.73982025e+02, 1.74785645e+02, 1.76286865e+02, 1.77237579e+02, 1.77872467e+02, 1.79334122e+02, 1.80147766e+02, 1.80868134e+02, 1.81908463e+02, 1.82549545e+02, 1.83186478e+02, 1.84243683e+02, 1.85049713e+02, 1.85580338e+02, 1.86711685e+02, 1.87467636e+02, 1.88334290e+02, 1.89376755e+02, 1.90047638e+02, 1.90685928e+02, 1.91684311e+02, 1.92490585e+02, 1.93397568e+02, 1.94012466e+02, 1.94857834e+02, 1.95439850e+02, 1.96424942e+02, 1.96594009e+02, 1.97405670e+02, 1.99010590e+02, 1.99515015e+02, 2.00451904e+02, 2.01250946e+02, 2.01688370e+02, 2.01995605e+02, 2.02867630e+02, 2.03590485e+02, 2.04050919e+02, 2.04908112e+02, 2.05428711e+02, 2.06064728e+02, 2.06512085e+02, 2.07345490e+02, 2.07919205e+02, 2.08890259e+02, 2.08957474e+02, 2.10210663e+02, 2.10336929e+02, 2.11543640e+02, 2.11973267e+02, 2.12808258e+02, 2.13141098e+02, 2.13834702e+02, 2.14496811e+02, 2.15053802e+02, 2.15897385e+02, 2.16050385e+02, 2.17152390e+02, 2.17907700e+02, 2.18198990e+02, 2.19014053e+02, 2.20048462e+02, 2.19884583e+02, 2.21089813e+02, 2.21308807e+02, 2.22340057e+02, 2.22390656e+02, 2.23413971e+02, 2.23802597e+02, 2.23919510e+02, 2.24700241e+02, 2.25599640e+02, 2.25526596e+02, 2.26211945e+02, 2.26498596e+02, 2.27018692e+02, 2.27784332e+02, 2.28508209e+02, 2.28631042e+02, 2.29388199e+02, 2.29943176e+02), (-2.40890091e+02, -2.39554581e+02, -2.38200150e+02, -2.36876007e+02, -2.35597824e+02, -2.34251541e+02, -2.32903778e+02, -2.31564270e+02, -2.30219894e+02, -2.28976044e+02, -2.27623672e+02, -2.26291702e+02, -2.24939941e+02, -2.23592667e+02, -2.22266342e+02, -2.20925781e+02, -2.19563293e+02, -2.18226273e+02, -2.16891068e+02, -2.15540024e+02, -2.14207123e+02, -2.12862671e+02, -2.11512192e+02, -2.10173126e+02, -2.08835403e+02, -2.07482086e+02, -2.06151505e+02, -2.04859238e+02, -2.03515167e+02, -2.00979675e+02, -2.00264084e+02, -1.98798035e+02, -1.97429092e+02, -1.96228378e+02, -1.94590652e+02, -1.93757217e+02, -1.92065735e+02, -1.91333969e+02, -1.89526840e+02, -1.88746979e+02, -1.87332245e+02, -1.85997223e+02, -1.84566818e+02, -1.83282440e+02, -1.81480286e+02, -1.80946976e+02, -1.79511780e+02, -1.78306473e+02, -1.77079880e+02, -1.75344116e+02, -1.73605225e+02, -1.72350204e+02, -1.71445618e+02, -1.70530334e+02, -1.68490845e+02, -1.67661041e+02, -1.66458191e+02, -1.65027313e+02, -1.63834335e+02, -1.62410599e+02, -1.61060181e+02, -1.59865936e+02, -1.58552902e+02, -1.57281982e+02, -1.56006531e+02, -1.54520416e+02, -1.53066528e+02, -1.51761642e+02, -1.50470932e+02, -1.48196548e+02, -1.47432083e+02, -1.46270172e+02, -1.45031860e+02, -1.43839264e+02, -1.42663620e+02, -1.41166443e+02, -1.39795105e+02, -1.38468338e+02, -1.37104477e+02, -1.35651627e+02, -1.34340378e+02, -1.33061371e+02, -1.31815506e+02, -1.30388565e+02, -1.28990326e+02, -1.27632080e+02, -1.26306274e+02, -1.25076614e+02, -1.23975365e+02, -1.22393089e+02, -1.20980789e+02, -1.19752647e+02, -1.18436813e+02, -1.17031799e+02, -1.15640427e+02, -1.14287178e+02, -1.12929489e+02, -1.11694778e+02, -1.10450584e+02, -1.09013046e+02, -1.07680214e+02, -1.06347145e+02, -1.04927574e+02, -1.03595734e+02, -1.02327225e+02, -1.00944412e+02, -9.96791000e+01, -9.83852005e+01, -9.70357361e+01, -9.57228546e+01, -9.43803177e+01, -9.30200043e+01, -9.17488098e+01, -9.04011307e+01, -8.90793991e+01, -8.77057114e+01, -8.63645325e+01, -8.50422058e+01, -8.37802200e+01, -8.23890991e+01, -8.10555344e+01, -7.96498642e+01, -7.83364868e+01, -7.69572754e+01, -7.56419373e+01, -7.42658081e+01, -7.29678192e+01, -7.16561127e+01, -7.03307266e+01, -6.89424438e+01, -6.75710068e+01, -6.62551041e+01, -6.49306870e+01, -6.36191483e+01, -6.22741585e+01, -6.09069633e+01, -5.95785828e+01, -5.82801018e+01, -5.69053154e+01, -5.55234337e+01, -5.41126823e+01, -5.28289528e+01, -5.15046387e+01, -5.01726265e+01, -4.88570137e+01, -4.74895210e+01, -4.61367264e+01, -4.48298683e+01, -4.34906998e+01, -4.21617851e+01, -4.08000183e+01, -3.94369164e+01, -3.79664726e+01, -3.66479263e+01, -3.53263626e+01, -3.39800186e+01, -3.25891266e+01, -3.12688751e+01, -2.99084415e+01, -2.85365467e+01, -2.71764832e+01, -2.58469524e+01, -2.45245075e+01, -2.31510124e+01, -2.18384686e+01, -2.04737034e+01, -1.91343670e+01, -1.78128357e+01, -1.64642868e+01, -1.50778217e+01, -1.37477427e+01, -1.24015865e+01, -1.10378494e+01, -9.68412876e+00, -8.32634640e+00, -6.97964621e+00, -5.62676477e+00, -4.26760769e+00, -2.90696096e+00, -1.54678810e+00, -2.02943429e-01, 1.15767193e+00, 2.52903128e+00, 3.88978767e+00, 5.23443127e+00, 6.60559988e+00, 7.95719433e+00, 9.31980038e+00, 1.06695957e+01, 1.20212650e+01, 1.33872900e+01, 1.47400150e+01, 1.61343937e+01, 1.74826756e+01, 1.88577976e+01, 2.02382736e+01, 2.15818291e+01, 2.29692822e+01, 2.43297710e+01, 2.57056828e+01, 2.70246181e+01, 2.84049721e+01, 2.97928066e+01, 3.12015247e+01, 3.25103035e+01, 3.39217110e+01, 3.52664070e+01, 3.65701027e+01, 3.78505936e+01, 3.92598000e+01, 4.05918121e+01, 4.19563980e+01, 4.33071251e+01, 4.46748466e+01, 4.60417480e+01, 4.74063263e+01, 4.87467995e+01, 5.01065559e+01, 5.14839592e+01, 5.28142319e+01, 5.41296082e+01, 5.54788170e+01, 5.68606453e+01, 5.82213631e+01, 5.95501938e+01, 6.08956070e+01, 6.22434006e+01, 6.35925713e+01, 6.49585648e+01, 6.63130264e+01, 6.76127167e+01, 6.89449768e+01, 7.02710419e+01, 7.16144028e+01, 7.30165405e+01, 7.43025208e+01, 7.56873703e+01, 7.70014572e+01, 7.83639832e+01, 7.96502838e+01, 8.09939117e+01, 8.22864075e+01, 8.35637283e+01, 8.48500137e+01, 8.61214142e+01, 8.74879761e+01, 8.88000031e+01, 9.01542282e+01, 9.14547729e+01, 9.27218552e+01, 9.40333557e+01, 9.53159561e+01, 9.66228256e+01, 9.78796844e+01, 9.92094498e+01, 1.00534103e+02, 1.01775078e+02, 1.02960999e+02, 1.04189430e+02, 1.05556839e+02, 1.06750931e+02, 1.08019432e+02, 1.09221710e+02, 1.10505737e+02, 1.11829559e+02, 1.13008308e+02, 1.14235542e+02, 1.15553963e+02, 1.16880997e+02, 1.18180313e+02, 1.19250664e+02, 1.20399513e+02, 1.21766243e+02, 1.23012405e+02, 1.24174568e+02, 1.25467834e+02, 1.26711372e+02, 1.27850220e+02, 1.29015305e+02, 1.30163742e+02, 1.31218887e+02, 1.32359497e+02, 1.33934570e+02, 1.35113892e+02, 1.36268906e+02, 1.37608841e+02, 1.38795700e+02, 1.39936081e+02, 1.40956024e+02, 1.41989410e+02, 1.43322693e+02, 1.44447021e+02, 1.45554443e+02, 1.46438492e+02, 1.47518127e+02, 1.48693100e+02, 1.49801758e+02, 1.51148422e+02, 1.52281601e+02, 1.53353073e+02, 1.54622528e+02, 1.55585480e+02, 1.56513138e+02, 1.57799667e+02, 1.58678467e+02, 1.59530762e+02, 1.60838364e+02, 1.61806915e+02, 1.62764755e+02, 1.63874146e+02, 1.65091537e+02, 1.66391571e+02, 1.67332001e+02, 1.68174179e+02, 1.69326126e+02, 1.70726761e+02, 1.71284882e+02, 1.72028976e+02, 1.73097260e+02, 1.74211105e+02, 1.75470840e+02, 1.76203720e+02, 1.77100235e+02, 1.78058975e+02, 1.78922226e+02, 1.80398239e+02, 1.80972778e+02, 1.81538651e+02, 1.83172455e+02, 1.83421814e+02, 1.83715744e+02, 1.85034424e+02, 1.85737137e+02, 1.86681885e+02, 1.87551208e+02, 1.88401733e+02, 1.89498596e+02, 1.90135941e+02, 1.90742767e+02, 1.91291107e+02, 1.92653458e+02, 1.93168976e+02, 1.94499512e+02, 1.95036926e+02, 1.95788605e+02, 1.96849899e+02, 1.97481476e+02, 1.98166824e+02, 1.98545639e+02, 1.99615875e+02, 2.00321091e+02, 2.00979782e+02, 2.01717743e+02, 2.02007187e+02, 2.02713501e+02, 2.03723953e+02, 2.04565414e+02, 2.05115555e+02, 2.05939789e+02, 2.07050751e+02, 2.07349640e+02, 2.07774246e+02, 2.08830215e+02, 2.10058441e+02, 2.09929962e+02, 2.11402420e+02, 2.11569839e+02, 2.12629303e+02, 2.12903336e+02, 2.13571136e+02, 2.13730606e+02, 2.14629227e+02, 2.15337662e+02, 2.15880402e+02, 2.16718140e+02, 2.17417404e+02, 2.17627701e+02, 2.17918213e+02, 2.18686020e+02, 2.19584457e+02, 2.20081604e+02, 2.20635086e+02, 2.21608109e+02, 2.21707031e+02, 2.22026260e+02, 2.22849289e+02, 2.23420944e+02, 2.23975754e+02, 2.24565445e+02, 2.25094543e+02, 2.25941193e+02, 2.26057922e+02, 2.26614822e+02, 2.26774307e+02, 2.27579437e+02, 2.28359680e+02, 2.28403168e+02, 2.29428238e+02, 2.30448837e+02, 2.30482071e+02)), xyz88_alongtrack=((-3.4341142 , -3.420134 , -3.4064367 , -3.3923776 , -3.3786461 , -3.3645449 , -3.351086 , -3.3406847 , -3.3268292 , -3.3132641 , -3.2993538 , -3.285411 , -3.272095 , -3.2673 , -3.2535994 , -3.2401679 , -3.226115 , -3.2126648 , -3.1991496 , -3.1853182 , -3.1530151 , -3.133586 , -3.1050909 , -3.1060703 , -3.0952425 , -3.0738997 , -3.0744498 , -3.0668483 , -3.0554807 , -3.042557 , -3.0363784 , -3.0270576 , -3.0265014 , -2.9995985 , -2.9978554 , -2.986884 , -2.9623342 , -2.9623554 , -2.9463341 , -2.9293861 , -2.924039 , -2.9186556 , -2.8983135 , -2.8890698 , -2.874427 , -2.854197 , -2.839065 , -2.8294857 , -2.78911 , -2.7828393 , -2.771149 , -2.7610343 , -2.7535224 , -2.7405941 , -2.7337966 , -2.7234998 , -2.7115622 , -2.6920753 , -2.6817079 , -2.6696715 , -2.6569793 , -2.647072 , -2.63068 , -2.6246283 , -2.6184206 , -2.6020677 , -2.588518 , -2.5777202 , -2.565964 , -2.5554373 , -2.5467098 , -2.5357418 , -2.5212414 , -2.5087504 , -2.4982927 , -2.4870417 , -2.477368 , -2.465551 , -2.45274 , -2.4426322 , -2.4322782 , -2.4201796 , -2.40601 , -2.39335 , -2.3832784 , -2.3732102 , -2.3625271 , -2.3541355 , -2.3403473 , -2.3266785 , -2.3174686 , -2.3059475 , -2.2942684 , -2.2829356 , -2.2744348 , -2.265522 , -2.2539537 , -2.2431602 , -2.2314298 , -2.2221925 , -2.2128057 , -2.2027435 , -2.1913815 , -2.180371 , -2.1698074 , -2.1604757 , -2.1521957 , -2.1429794 , -2.1327355 , -2.122101 , -2.1127417 , -2.0982218 , -2.0927794 , -2.0846784 , -2.0766473 , -2.0656796 , -2.0578237 , -2.04963 , -2.03883 , -0.34185302, -0.34496605, -0.34934685, -0.3525476 , -0.35563388, -0.3587202 , -0.36197007, -0.36524594, -0.36837184, -0.37071913, -0.3736608 , -0.3775382 , -0.38023272, -0.38290423, -0.38562244, -0.38854894, -0.3913591 , -0.39405623, -0.3964399 , -0.3986658 , -0.40129486, -0.40365994, -0.40664464, -0.40873381, -0.4109026 , -0.41330856, -0.4154755 , -0.41748488, -0.41979715, -0.42170793, -0.4231194 , -0.42526954, -0.42713314, -0.42857406, -0.42934686, -0.4315364 , -0.43326852, -0.4347006 , -0.43618485, -0.43787804, -0.43977138, -0.44015783, -0.44062367, -0.44189614, -0.4430774 , -0.44405803, -0.44492954, -0.44567725, -0.44644138, -0.4462955 , -0.44699663, -0.44737768, -0.4478939 , -0.44810182, -0.4482765 , -0.44839418, -0.4482304 , -0.44827715, -0.44813967, -0.44779012, -0.4475297 , -0.44711775, -0.44734615, -0.44584632, -0.4443593 , -0.44416752, -0.4427677 , -0.44436726, -0.44313622, -0.44150934, -0.4395432 , -0.43872708, -0.43749186, -0.4358667 , -0.43542552, -0.43403193, -0.43223837, -0.4302709 , -0.42864323, -0.4265904 , -0.42480665, -0.42283425, -0.42092514, -0.41789728, -0.416698 , -0.41430518, -0.41305274, -0.41052634, -0.40818647, -0.40552106, -0.40265933, -0.40029612, -0.39768454, -0.39519858, -0.39220968, -0.38935834, -0.38657755, -0.3846073 , -0.38183612, -0.37858635, -0.37504283, -0.3720415 , -0.3688764 , -0.36561212, -0.36229026, -0.35909116, -0.3560292 , -0.3535312 , -0.34992886, -0.34615177, 0.9327747 , 0.9457139 , 0.95843416, 0.9715502 , 0.98438776, 0.99677664, 1.0086974 , 1.0227591 , 1.0356303 , 1.0489902 , 1.0632321 , 1.0776258 , 1.0915332 , 1.105831 , 1.1196829 , 1.1332442 , 1.1462287 , 1.1608013 , 1.1749841 , 1.1886905 , 1.2034223 , 1.2184955 , 1.2316297 , 1.2452023 , 1.2592907 , 1.2759203 , 1.2916869 , 1.305141 , 1.3192412 , 1.3365759 , 1.3490934 , 1.3608676 , 1.3740125 , 1.3913199 , 1.4081212 , 1.4248521 , 1.4397576 , 1.4530084 , 1.4670321 , 1.4798586 , 1.4949672 , 1.5116189 , 1.5268314 , 1.5419824 , 1.5586681 , 1.5718782 , 1.5850751 , 1.5980088 , 1.6141641 , 1.6292719 , 1.6453232 , 1.6636587 , 1.6775088 , 1.6906247 , 1.7104388 , 1.7249027 , 1.7374468 , 1.7494551 , 1.7683302 , 1.783817 , 1.7973671 , 1.8118517 , 1.8281054 , 1.8431324 , 1.8582848 , 1.8743794 , 1.8897412 , 1.9051749 , 1.9215206 , 1.9371886 , 1.9539692 , 1.9707144 , 1.9875603 , 1.9989024 , 2.0153415 , 2.0239282 , 2.028806 , 2.0379179 , 2.0465288 , 2.0606384 , 2.071832 , 2.0780282 , 2.0948684 , 2.1074324 , 2.1206737 , 2.1317272 , 2.1428323 , 2.154875 , 2.167442 , 2.1837835 , 2.193393 , 2.2031493 , 2.2153733 , 2.2317152 , 2.2518988 , 2.2579153 , 2.2675717 , 2.281012 , 2.2918565 , 2.2989936 , 2.3201687 , 2.317977 , 2.3391883 , 2.349953 , 2.3577092 , 2.3643186 , 2.3819861 , 2.3934293 , 2.4007812 , 2.416749 , 2.4307017 , 2.4320717 , 2.4463978 , 2.4583652 , 2.4707034 , 2.4826367 , 2.4897573 , 2.4972827 , 2.5054855 , 2.5231926 , 2.5396364 , 2.5488675 , 2.559188 , 2.5650363 , 2.579026 , 2.5904417 , 2.6051438 , 2.612699 , 2.6252537 , 2.643088 , 2.6481194 , 2.6540053 , 2.6680543 , 2.6783786 , 2.6883307 , 2.698569 , 2.7132158 , 2.7218535 , 2.725976 , 2.7304826 , 2.7447262 , 2.7538846 , 2.7655287 , 2.7717228 , 2.7807224 , 2.787311 , 2.7928395 , 2.7930343 , 2.8003395 , 2.8127356 , 2.8239741 , 2.8313723 , 2.843324 , 2.8434606 , 2.855321 , 2.8658166 , 2.8735688 , 2.8740702 , 2.8901873 , 2.8976362 , 2.9099596 , 2.905566 , 2.9213147 , 2.9252193 , 2.933381 , 2.9411721 , 2.949623 , 2.9576855 , 2.9653773 , 2.980684 , 2.9797814), (-2.5296342 , -2.5204477 , -2.510908 , -2.5013425 , -2.4924164 , -2.4830773 , -2.4768658 , -2.4678226 , -2.45843 , -2.4490137 , -2.4398842 , -2.4304159 , -2.4303641 , -2.4211125 , -2.4118779 , -2.4026043 , -2.39326 , -2.3842425 , -2.374873 , -2.3657236 , -2.3590941 , -2.3464284 , -2.3403988 , -2.3340342 , -2.3299425 , -2.3211021 , -2.3148725 , -2.3064184 , -2.2995348 , -2.2894833 , -2.2844563 , -2.2784903 , -2.2637155 , -2.2611887 , -2.2557328 , -2.24223 , -2.2413392 , -2.23458 , -2.2341332 , -2.2196176 , -2.2085981 , -2.203367 , -2.1942024 , -2.185973 , -2.1807384 , -2.1697738 , -2.1590073 , -2.1567974 , -2.1554554 , -2.1393263 , -2.1267426 , -2.1225593 , -2.1078153 , -2.1030023 , -2.0975945 , -2.0872457 , -2.0778692 , -2.0701027 , -2.062097 , -2.0561185 , -2.051557 , -2.0398386 , -2.0311005 , -2.0159519 , -2.0115545 , -2.0016599 , -1.9945676 , -1.9895811 , -1.9795785 , -1.9712225 , -1.9649968 , -1.9590901 , -1.9485128 , -1.9404866 , -1.9360045 , -1.9317261 , -1.9223715 , -1.9127463 , -1.9058589 , -1.8975201 , -1.890925 , -1.8826761 , -1.8760394 , -1.8648524 , -1.8590841 , -1.8523346 , -1.8439835 , -1.8386006 , -1.8310211 , -1.8248185 , -1.813026 , -1.8058181 , -1.7998081 , -1.7927473 , -1.787078 , -1.7789302 , -1.7723851 , -1.7668903 , -1.7591796 , -1.7519104 , -1.7444488 , -1.7370543 , -1.7301438 , -1.7242212 , -1.7169296 , -1.7083946 , -1.7033383 , -1.6975528 , -1.6913056 , -1.6840385 , -1.6779888 , -1.6715573 , -1.6658645 , -1.6580609 , -1.6524823 , -1.6459084 , -1.6397858 , -1.6338834 , -1.6286706 , 0.42960384, 0.42081293, 0.4119724 , 0.40328807, 0.3942537 , 0.3856998 , 0.37740278, 0.3693173 , 0.36134616, 0.35345936, 0.34562823, 0.33776766, 0.32976323, 0.32014346, 0.31287897, 0.3055896 , 0.29864824, 0.29175887, 0.28504542, 0.27854133, 0.2719177 , 0.26579985, 0.25950533, 0.25340033, 0.24745007, 0.24177958, 0.23586306, 0.23052108, 0.22510584, 0.21997283, 0.2153067 , 0.21064407, 0.20619014, 0.20123747, 0.19692113, 0.19251035, 0.18884872, 0.18532938, 0.1815907 , 0.17854334, 0.17535667, 0.17237215, 0.16927981, 0.16701925, 0.16432387, 0.16231556, 0.16056024, 0.15955718, 0.1571873 , 0.15603733, 0.15477544, 0.1539029 , 0.15329698, 0.15294707, 0.15292287, 0.15285623, 0.15306455, 0.15336455, 0.15396446, 0.15480661, 0.1559111 , 0.15717275, 0.15856844, 0.1601802 , 0.16200984, 0.16415095, 0.1662055 , 0.16923568, 0.17196332, 0.1748236 , 0.17787184, 0.18140593, 0.18491459, 0.18843052, 0.19259158, 0.19716193, 0.20100309, 0.20571576, 0.21047443, 0.21524215, 0.22055207, 0.22601297, 0.23123601, 0.23684607, 0.24274613, 0.24874365, 0.25490016, 0.26132998, 0.26777703, 0.27407658, 0.28103286, 0.28807855, 0.29526663, 0.3028074 , 0.30997464, 0.31537196, 0.32288024, 0.33016565, 0.3379537 , 0.34562692, 0.354017 , 0.36239704, 0.37081546, 0.37931794, 0.3879072 , 0.39549688, 0.40462217, 0.4129201 , 0.42135173, 0.43046737, 1.3655072 , 1.3817369 , 1.3982302 , 1.4147899 , 1.4301261 , 1.4434702 , 1.4572818 , 1.4736766 , 1.4904693 , 1.5077864 , 1.5260442 , 1.5452833 , 1.5627409 , 1.5789938 , 1.5942984 , 1.6122221 , 1.6294963 , 1.6492637 , 1.6680617 , 1.6844387 , 1.700825 , 1.7171581 , 1.7333101 , 1.7513151 , 1.772408 , 1.7902514 , 1.8086666 , 1.829503 , 1.8448267 , 1.8611717 , 1.8782914 , 1.8976177 , 1.9187694 , 1.9380023 , 1.957246 , 1.9754248 , 1.9935209 , 2.0092914 , 2.0266464 , 2.0475106 , 2.0664093 , 2.0851183 , 2.1053567 , 2.123346 , 2.1400077 , 2.1555421 , 2.1752217 , 2.1961215 , 2.214276 , 2.233462 , 2.251209 , 2.27001 , 2.2951543 , 2.313072 , 2.3292804 , 2.3448722 , 2.364583 , 2.382284 , 2.3956556 , 2.41308 , 2.4297707 , 2.4491642 , 2.461033 , 2.4880188 , 2.5010831 , 2.5167181 , 2.5313592 , 2.5427556 , 2.5673177 , 2.5962312 , 2.6049473 , 2.6152413 , 2.637638 , 2.65313 , 2.674319 , 2.69234 , 2.7081387 , 2.7223406 , 2.7383444 , 2.7583666 , 2.7747402 , 2.7921488 , 2.8055062 , 2.8260071 , 2.8339355 , 2.843893 , 2.8686767 , 2.8810503 , 2.8957267 , 2.9157877 , 2.935306 , 2.9475012 , 2.9671664 , 2.9778666 , 2.9893866 , 3.007291 , 3.0241585 , 3.0443966 , 3.056784 , 3.0775683 , 3.0846698 , 3.0934389 , 3.1129785 , 3.1269016 , 3.1386325 , 3.149753 , 3.1604378 , 3.1761959 , 3.1831887 , 3.2115598 , 3.2152567 , 3.229638 , 3.2411919 , 3.2547245 , 3.2715294 , 3.2831879 , 3.2915173 , 3.2998211 , 3.3197937 , 3.3309734 , 3.3501456 , 3.3616056 , 3.3747969 , 3.381139 , 3.40233 , 3.4158156 , 3.429014 , 3.4420805 , 3.457673 , 3.462892 , 3.4711576 , 3.4919822 , 3.5066552 , 3.515342 , 3.5267642 , 3.541361 , 3.548554 , 3.5638616 , 3.5717168 , 3.5860205 , 3.5898879 , 3.594236 , 3.6086707 , 3.608592 , 3.628207 , 3.6351144 , 3.6461325 , 3.6558797 , 3.6601412 , 3.669064 , 3.6785247 , 3.6976619 , 3.7072208 , 3.7185144 , 3.7290342 , 3.7298775 , 3.7449558 , 3.7581415 , 3.7650244 , 3.7738168 , 3.783065 , 3.7922537 , 3.8097312 , 3.8289597 , 3.8478837 , 3.8668382 , 3.886518 , 3.905518 , 3.9245515 , 3.9439483 , 3.9626787), (-6.1701527 , -6.143218 , -6.116473 , -6.0889077 , -6.062544 , -6.0362325 , -6.009482 , -5.9826803 , -5.9558525 , -5.927859 , -5.9013577 , -5.87452 , -5.8478966 , -5.8212624 , -5.7943892 , -5.7677264 , -5.741422 , -5.714701 , -5.6881 , -5.6616607 , -5.6349983 , -5.60806 , -5.581574 , -5.555062 , -5.52865 , -5.5023956 , -5.4759064 , -5.4493704 , -5.423055 , -5.381912 , -5.3691163 , -5.3370986 , -5.3010874 , -5.2830343 , -5.252121 , -5.219112 , -5.217454 , -5.1894526 , -5.1725254 , -5.1439705 , -5.1275163 , -5.105812 , -5.071236 , -5.039516 , -5.002689 , -4.982311 , -4.9615874 , -4.92395 , -4.893519 , -4.851656 , -4.839939 , -4.819476 , -4.7937284 , -4.7772145 , -4.7517805 , -4.7155094 , -4.691606 , -4.6722345 , -4.640914 , -4.619679 , -4.599586 , -4.574918 , -4.54851 , -4.527577 , -4.4876966 , -4.4631896 , -4.441972 , -4.425681 , -4.402615 , -4.379389 , -4.3480334 , -4.321665 , -4.2983665 , -4.2738585 , -4.2509317 , -4.22266 , -4.2017484 , -4.1769733 , -4.1449356 , -4.125175 , -4.1089053 , -4.0813413 , -4.0544395 , -4.0347457 , -4.0095754 , -3.9852183 , -3.9625072 , -3.9402182 , -3.9125867 , -3.8899186 , -3.8707 , -3.8521287 , -3.8266852 , -3.8017006 , -3.778392 , -3.7557847 , -3.7312255 , -3.7100916 , -3.6864069 , -3.6647143 , -3.6423092 , -3.6218588 , -3.601488 , -3.5783722 , -3.5590808 , -3.538626 , -3.5167084 , -3.496485 , -3.4704309 , -3.4512982 , -3.4323993 , -3.4102163 , -3.3896844 , -3.36897 , -3.3516233 , -3.3334568 , -3.3143098 , -3.2965896 , -3.277859 , -3.2548542 , -3.235797 , -3.217885 , -3.1996887 , -3.1792495 , -3.1621997 , -0.25061432, -0.25341326, -0.25625178, -0.25930303, -0.2619753 , -0.26451287, -0.26720542, -0.26997048, -0.2726771 , -0.27524158, -0.2776008 , -0.28025678, -0.2826892 , -0.2850645 , -0.28730047, -0.2898375 , -0.29223442, -0.2948517 , -0.29698354, -0.2989442 , -0.30136922, -0.30359975, -0.30552405, -0.30747923, -0.3095366 , -0.31133592, -0.31319463, -0.314828 , -0.31617475, -0.31832188, -0.31999028, -0.32155633, -0.32294336, -0.32512572, -0.32514602, -0.3270774 , -0.32845816, -0.32952017, -0.33107036, -0.33268598, -0.3339299 , -0.33462906, -0.33579773, -0.33641762, -0.3376072 , -0.3390288 , -0.33962536, -0.33934534, -0.33992824, -0.34044504, -0.3407534 , -0.34120375, -0.34146827, -0.3417109 , -0.3419133 , -0.34201765, -0.34263235, -0.34241366, -0.34202212, -0.3416901 , -0.34118736, -0.34117806, -0.3405634 , -0.34016913, -0.3395369 , -0.33875757, -0.33854306, -0.3375409 , -0.33699748, -0.33604687, -0.33559027, -0.33459798, -0.33336276, -0.33250383, -0.33119103, -0.32992545, -0.32878718, -0.32678166, -0.3258018 , -0.3242357 , -0.32268274, -0.3202639 , -0.31968316, -0.31777254, -0.31626207, -0.3145265 , -0.31242126, -0.31039542, -0.30874702, -0.30622005, -0.30439734, -0.30219388, -0.3001563 , -0.29776624, -0.2954389 , -0.2929788 , -0.29073805, -0.2885509 , -0.28609788, -0.28357497, -0.2808612 , -0.27832037, -0.27576703, -0.2730402 , -0.27027318, -0.26752153, -0.26480654, -0.26271072, -0.25958645, -0.25631547, -0.25329557, 2.3198926 , 2.341152 , 2.362467 , 2.3839064 , 2.404224 , 2.424166 , 2.445166 , 2.4658287 , 2.485771 , 2.5125527 , 2.5390441 , 2.5628045 , 2.5865796 , 2.6066172 , 2.6301265 , 2.652843 , 2.673816 , 2.6964712 , 2.7220752 , 2.7459188 , 2.768937 , 2.7934527 , 2.8183856 , 2.8438435 , 2.8659923 , 2.887092 , 2.9119623 , 2.9370801 , 2.9611688 , 2.984307 , 3.0043626 , 3.0233266 , 3.0516076 , 3.0787613 , 3.1018977 , 3.1293552 , 3.1564965 , 3.1775303 , 3.2033513 , 3.2274868 , 3.2496977 , 3.2730763 , 3.2994616 , 3.3261418 , 3.3513246 , 3.373616 , 3.3972485 , 3.4288392 , 3.447505 , 3.4689748 , 3.49711 , 3.523548 , 3.5466187 , 3.5697057 , 3.5873063 , 3.604161 , 3.6387062 , 3.659551 , 3.6869226 , 3.7101405 , 3.7340686 , 3.760947 , 3.780482 , 3.8028438 , 3.828947 , 3.8514876 , 3.869367 , 3.8822057 , 3.919422 , 3.9411228 , 3.9640384 , 3.9879239 , 4.0114107 , 4.034805 , 4.0594287 , 4.0955853 , 4.1073523 , 4.126584 , 4.1440926 , 4.165459 , 4.1867647 , 4.206727 , 4.2393537 , 4.2564306 , 4.2738166 , 4.30833 , 4.3293743 , 4.342854 , 4.3765693 , 4.3944545 , 4.41007 , 4.4335513 , 4.447276 , 4.4610634 , 4.485117 , 4.5030637 , 4.5143094 , 4.5401063 , 4.5568995 , 4.5765147 , 4.600311 , 4.615208 , 4.6293116 , 4.6521916 , 4.6704245 , 4.691224 , 4.704844 , 4.724179 , 4.7370353 , 4.759802 , 4.7627687 , 4.7813535 , 4.8192854 , 4.830439 , 4.8522 , 4.8705378 , 4.8802066 , 4.8867393 , 4.9069834 , 4.9234624 , 4.93376 , 4.953696 , 4.9654837 , 4.9801598 , 4.9902077 , 5.009688 , 5.022896 , 5.0457306 , 5.046714 , 5.076403 , 5.0788445 , 5.1074343 , 5.1172495 , 5.13688 , 5.1444306 , 5.1606708 , 5.1762147 , 5.1892204 , 5.20917 , 5.2123938 , 5.2386675 , 5.2565207 , 5.26317 , 5.2824903 , 5.3071165 , 5.3028507 , 5.3315544 , 5.3365602 , 5.3611994 , 5.3621287 , 5.386591 , 5.3957353 , 5.3983316 , 5.4169664 , 5.438482 , 5.4365215 , 5.4529085 , 5.4596562 , 5.472051 , 5.490402 , 5.507735 , 5.510587 , 5.5287447 , 5.542047), (-5.063785 , -5.0421233 , -5.0208287 , -4.9989486 , -4.97786 , -4.956472 , -4.9350367 , -4.913545 , -4.8920655 , -4.8689556 , -4.847747 , -4.8261867 , -4.8049126 , -4.7836375 , -4.762031 , -4.7407637 , -4.719666 , -4.698271 , -4.6769605 , -4.6558695 , -4.634413 , -4.6133165 , -4.592102 , -4.570886 , -4.549732 , -4.528789 , -4.5075383 , -4.4854956 , -4.4644666 , -4.417211 , -4.409773 , -4.3857727 , -4.3644495 , -4.3461847 , -4.318716 , -4.3089914 , -4.2802525 , -4.2726736 , -4.241684 , -4.2329626 , -4.2105703 , -4.189924 , -4.167034 , -4.14794 , -4.116444 , -4.114101 , -4.091335 , -4.0736275 , -4.0555234 , -4.026123 , -3.9965417 , -3.978063 , -3.9674134 , -3.9570477 , -3.9199286 , -3.9113975 , -3.8941224 , -3.8719723 , -3.85474 , -3.8325944 , -3.8120136 , -3.7955968 , -3.775664 , -3.757232 , -3.7392094 , -3.7154036 , -3.6928024 , -3.673637 , -3.6548316 , -3.6123824 , -3.6066508 , -3.5916548 , -3.574536 , -3.5585268 , -3.5428355 , -3.5190377 , -3.4987247 , -3.479442 , -3.4601119 , -3.4379168 , -3.4192133 , -3.401653 , -3.3848014 , -3.3632038 , -3.343255 , -3.3236592 , -3.3052075 , -3.2893484 , -3.2766275 , -3.2515383 , -3.2306972 , -3.2158413 , -3.1980383 , -3.1779666 , -3.1581767 , -3.1391163 , -3.1204214 , -3.105599 , -3.0908444 , -3.069848 , -3.0522344 , -3.0349674 , -3.0148876 , -2.9972184 , -2.981757 , -2.964527 , -2.9493032 , -2.9335883 , -2.9158018 , -2.899654 , -2.8831363 , -2.8656514 , -2.8510733 , -2.8353653 , -2.8195233 , -2.8022857 , -2.7857637 , -2.7709243 , -2.7570996 , -2.7402747 , -2.724731 , -2.709084 , -2.6942518 , -2.6781745 , -2.6640043 , 0.66846293, 0.6593954 , 0.6502432 , 0.6410959 , 0.63149226, 0.62222916, 0.6135538 , 0.60487074, 0.59643096, 0.58782566, 0.57907134, 0.5709216 , 0.5631169 , 0.5547157 , 0.54637086, 0.53817296, 0.5310856 , 0.5238058 , 0.5165165 , 0.5095688 , 0.5022796 , 0.49526024, 0.48883134, 0.48235533, 0.47606492, 0.4696316 , 0.46333265, 0.45679197, 0.4515032 , 0.44625813, 0.4408848 , 0.4351901 , 0.43046013, 0.42541286, 0.42049214, 0.41572955, 0.4117749 , 0.40818846, 0.4038652 , 0.40080574, 0.3972714 , 0.39431587, 0.3918493 , 0.38911384, 0.38595125, 0.38391796, 0.38182884, 0.37987727, 0.37837186, 0.3767807 , 0.375809 , 0.37424806, 0.37367344, 0.3731295 , 0.37274712, 0.372862 , 0.3729327 , 0.37397683, 0.37410036, 0.37449732, 0.37572205, 0.3767725 , 0.37838638, 0.37958467, 0.38149962, 0.3837622 , 0.3858393 , 0.3890288 , 0.39140847, 0.3948692 , 0.3982883 , 0.40148556, 0.40547407, 0.40911385, 0.41347596, 0.41705775, 0.42167273, 0.42659083, 0.4320353 , 0.43638995, 0.4421468 , 0.44730002, 0.45218083, 0.458007 , 0.4644077 , 0.4701402 , 0.47641975, 0.48274007, 0.48944283, 0.4961784 , 0.5032472 , 0.51009107, 0.5173177 , 0.5247971 , 0.5321115 , 0.5395914 , 0.5473632 , 0.55554235, 0.56366634, 0.5715689 , 0.57984746, 0.5882185 , 0.5968071 , 0.60563415, 0.6144194 , 0.62302417, 0.6318701 , 0.6408516 , 0.65004987, 0.6598824 , 0.66881514, 2.8181574 , 2.8419414 , 2.8680222 , 2.8927715 , 2.9185703 , 2.9429321 , 2.9673157 , 2.9917567 , 3.0161512 , 3.0441792 , 3.0702722 , 3.0982633 , 3.1251836 , 3.1508787 , 3.177682 , 3.2044206 , 3.2318149 , 3.2577786 , 3.2862692 , 3.3149629 , 3.3416681 , 3.3662148 , 3.3920488 , 3.422806 , 3.4482467 , 3.4761229 , 3.501862 , 3.5305355 , 3.5612159 , 3.5869417 , 3.6141565 , 3.6445618 , 3.675562 , 3.7056994 , 3.7286189 , 3.7547908 , 3.787306 , 3.8163857 , 3.8428853 , 3.873411 , 3.9028132 , 3.9288948 , 3.9561367 , 3.9831827 , 4.007046 , 4.033872 , 4.0739064 , 4.1018786 , 4.129444 , 4.1626406 , 4.1914463 , 4.2188764 , 4.2429733 , 4.2672076 , 4.3007555 , 4.3280263 , 4.354803 , 4.3751864 , 4.4014235 , 4.430808 , 4.4579988 , 4.4925094 , 4.5206885 , 4.547345 , 4.579568 , 4.6029897 , 4.6253886 , 4.658669 , 4.679645 , 4.700163 , 4.7340894 , 4.7580333 , 4.781907 , 4.8102665 , 4.841808 , 4.875794 , 4.899225 , 4.9200273 , 4.9499316 , 4.9870896 , 4.9996395 , 5.017656 , 5.045376 , 5.0744343 , 5.1078043 , 5.1258082 , 5.148601 , 5.173428 , 5.1954827 , 5.23539 , 5.2490773 , 5.262582 , 5.3070807 , 5.311601 , 5.317446 , 5.3530416 , 5.37079 , 5.395554 , 5.4181705 , 5.440431 , 5.469647 , 5.4857945 , 5.501048 , 5.5146422 , 5.55177 , 5.564615 , 5.6008434 , 5.6143517 , 5.6338997 , 5.662582 , 5.678856 , 5.6967115 , 5.705904 , 5.734875 , 5.753488 , 5.770643 , 5.790242 , 5.796955 , 5.8156877 , 5.84315 , 5.865778 , 5.8800635 , 5.902226 , 5.932761 , 5.939875 , 5.95074 , 5.979732 , 6.0131927 , 6.008232 , 6.0492396 , 6.0528154 , 6.081999 , 6.0887785 , 6.106753 , 6.110283 , 6.1348915 , 6.1541767 , 6.1687145 , 6.1917253 , 6.210685 , 6.215859 , 6.2232566 , 6.2443123 , 6.269108 , 6.2824316 , 6.297495 , 6.3244576 , 6.326535 , 6.3349195 , 6.3576317 , 6.373265 , 6.3884234 , 6.4045753 , 6.419024 , 6.4425483 , 6.445232 , 6.4605875 , 6.4645147 , 6.4868937 , 6.508643 , 6.509296 , 6.5380497 , 6.5666127 , 6.5670757))): if profile is None: profile = {'profile_1495599960': '[[0.0, 1489.2000732421875], [0.32, 1489.2000732421875], ' '[0.5, 1488.7000732421875], [0.55, 1488.300048828125], ' '[0.61, 1487.9000244140625], [0.65, 1488.2000732421875], ' '[0.67, 1488.0], [0.79, 1487.9000244140625], ' '[0.88, 1487.9000244140625], [1.01, 1488.2000732421875], ' '[1.04, 1488.0999755859375], [1.62, 1488.0999755859375], ' '[2.0300000000000002, 1488.300048828125], [2.43, 1488.9000244140625], ' '[2.84, 1488.5], [3.25, 1487.7000732421875], ' '[3.67, 1487.2000732421875], [4.45, 1486.800048828125], ' '[4.8500000000000005, 1486.800048828125], [5.26, 1486.5999755859375], ' '[6.09, 1485.7000732421875], [6.9, 1485.0999755859375], ' '[7.71, 1484.800048828125], [8.51, 1484.0], [8.91, 1483.800048828125], ' '[10.13, 1483.7000732421875], [11.8, 1483.0999755859375], ' '[12.620000000000001, 1482.9000244140625], ' '[16.79, 1482.9000244140625], [20.18, 1481.9000244140625], ' '[23.93, 1481.300048828125], [34.79, 1480.800048828125], ' '[51.15, 1480.800048828125], [56.13, 1481.0], [60.67, 1481.5], ' '[74.2, 1481.9000244140625], [12000.0, 1675.800048828125]]'} self.client = None self.synth_ra_time = synth_ra_time self.synth_att_time = synth_att_time self.synth_nav_time = synth_nav_time self.synth_beampointingangle = synth_beampointingangle self.synth_delay = synth_delay self.synth_frequency = synth_frequency self.synth_txsector_beam = synth_txsector_beam self.synth_qualityfactor = synth_qualityfactor self.synth_soundspeed = synth_soundspeed self.synth_counter = synth_counter self.synth_tiltangle = synth_tiltangle self.synth_traveltime = synth_traveltime self.synth_ntx = synth_ntx self.synth_heave = synth_heave self.synth_roll = synth_roll self.synth_pitch = synth_pitch self.synth_yaw = synth_yaw self.synth_altitude = synth_altitude self.synth_latitude = synth_latitude self.synth_longitude = synth_longitude self.xyz88_depth = xyz88_depth self.xyz88_alongtrack = xyz88_alongtrack self.xyz88_acrosstrack = xyz88_acrosstrack self.secs = secs self.serialnum = serialnum self.secondary_serialnum = secondary_serialnum self.profile = profile self.xyzrph = {'beam_opening_angle': {str(synth_xyztime): 1.0}, 'heading_patch_error': {str(synth_xyztime): 0.5}, 'heading_sensor_error': {str(synth_xyztime): 0.02}, 'heave_error': {str(synth_xyztime): 0.05}, 'horizontal_positioning_error': {str(synth_xyztime): 1.5}, 'imu_h': {str(synth_xyztime): 0.0}, 'latency': {str(synth_xyztime): 0.0}, 'imu_p': {str(synth_xyztime): 0.0}, 'imu_r': {str(synth_xyztime): 0.0}, 'imu_x': {str(synth_xyztime): 0.0}, 'imu_y': {str(synth_xyztime): 0.0}, 'imu_z': {str(synth_xyztime): 0.0}, 'latency_patch_error': {str(synth_xyztime): 0.0}, 'pitch_patch_error': {str(synth_xyztime): 0.1}, 'pitch_sensor_error': {str(synth_xyztime): 0.0005}, 'roll_patch_error': {str(synth_xyztime): 0.1}, 'roll_sensor_error': {str(synth_xyztime): 0.0005}, 'tx_to_antenna_x': {str(synth_xyztime): 0.0}, 'tx_to_antenna_y': {str(synth_xyztime): 0.0}, 'tx_to_antenna_z': {str(synth_xyztime): 0.0}, 'separation_model_error': {str(synth_xyztime): 0.0}, 'surface_sv_error': {str(synth_xyztime): 0.5}, 'timing_latency_error': {str(synth_xyztime): 0.001}, 'vertical_positioning_error': {str(synth_xyztime): 1.0}, 'vessel_speed_error': {str(synth_xyztime): 0.1}, 'waterline_error': {str(synth_xyztime): 0.02}, 'x_offset_error': {str(synth_xyztime): 0.2}, 'y_offset_error': {str(synth_xyztime): 0.2}, 'z_offset_error': {str(synth_xyztime): 0.2}, 'tx_r': {str(synth_xyztime): synth_tx_mountroll}, 'tx_p': {str(synth_xyztime): synth_tx_mountpitch}, 'tx_h': {str(synth_xyztime): synth_tx_mountyaw}, 'rx_r': {str(synth_xyztime): synth_rx_mountroll}, 'rx_p': {str(synth_xyztime): synth_rx_mountpitch}, 'rx_h': {str(synth_xyztime): synth_rx_mountyaw}, 'tx_x': {str(synth_xyztime): synth_tx_x}, 'tx_y': {str(synth_xyztime): synth_tx_y}, 'tx_z': {str(synth_xyztime): synth_tx_z}, 'tx_x_0': {str(synth_xyztime): synth_tx_x_0}, 'tx_x_1': {str(synth_xyztime): synth_tx_x_1}, 'tx_x_2': {str(synth_xyztime): synth_tx_x_2}, 'tx_y_0': {str(synth_xyztime): synth_tx_y_0}, 'tx_y_1': {str(synth_xyztime): synth_tx_y_1}, 'tx_y_2': {str(synth_xyztime): synth_tx_y_2}, 'tx_z_0': {str(synth_xyztime): synth_tx_z_0}, 'tx_z_1': {str(synth_xyztime): synth_tx_z_1}, 'tx_z_2': {str(synth_xyztime): synth_tx_z_2}, 'rx_x': {str(synth_xyztime): synth_rx_x}, 'rx_y': {str(synth_xyztime): synth_rx_y}, 'rx_z': {str(synth_xyztime): synth_rx_z}, 'rx_x_0': {str(synth_xyztime): synth_rx_x_0}, 'rx_x_1': {str(synth_xyztime): synth_rx_x_1}, 'rx_x_2': {str(synth_xyztime): synth_rx_x_2}, 'rx_y_0': {str(synth_xyztime): synth_rx_y_0}, 'rx_y_1': {str(synth_xyztime): synth_rx_y_1}, 'rx_y_2': {str(synth_xyztime): synth_rx_y_2}, 'rx_z_0': {str(synth_xyztime): synth_rx_z_0}, 'rx_z_1': {str(synth_xyztime): synth_rx_z_1}, 'rx_z_2': {str(synth_xyztime): synth_rx_z_2}, 'waterline': {str(synth_xyztime): synth_waterline} } self.raw_ping = self.construct_raw_ping() self.raw_att = self.construct_rawattitude() def construct_raw_ping(self): """ Take the provided real data built into this class and generate new raw_ping data. Returns ------- dataset: list of xarray DataSet objects that represent the raw_ping data you would get when running xarray_conversion normally. """ sec_vals = self.secs dataset = [] for cnt, sec in enumerate(sec_vals): num_beams = int(len(self.synth_beampointingangle[cnt])) bm_vals = [i for i in range(num_beams)] tme_vals = self.synth_ra_time counter_vals = self.synth_counter tme_coord = xr.DataArray(np.array(tme_vals), dims=['time'], coords=np.array([tme_vals])) beam_coord = xr.DataArray(np.array(bm_vals), dims=['beam'], coords=np.array([bm_vals])) ntx = xr.DataArray(np.array(self.synth_ntx), dims=['time'], coords={'time': tme_coord}) soundspeed = xr.DataArray(np.array(self.synth_soundspeed), dims=['time'], coords={'time': tme_coord}) counter = xr.DataArray(np.array(counter_vals), dims=['time'], coords={'time': tme_coord}) tiltangle_data = np.array(list(self.synth_tiltangle)) if tiltangle_data.ndim == 1: tiltangle_data = np.expand_dims(tiltangle_data, axis=1) tiltangle = xr.DataArray(tiltangle_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) twtt_data = np.array(list(self.synth_traveltime)) if twtt_data.ndim == 1: twtt_data = np.expand_dims(twtt_data, axis=1) twoway_travel_time = xr.DataArray(twtt_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) delay_data = np.array(list(self.synth_delay)) if delay_data.ndim == 1: delay_data = np.expand_dims(delay_data, axis=1) delay = xr.DataArray(delay_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) frequency_data = np.array(list(self.synth_frequency)) if frequency_data.ndim == 1: frequency_data = np.expand_dims(frequency_data, axis=1) frequency = xr.DataArray(frequency_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) txsector_data = np.array(list(self.synth_txsector_beam)) if txsector_data.ndim == 1: txsector_data = np.expand_dims(txsector_data, axis=1) txsector = xr.DataArray(txsector_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) bpa_data = np.array(list(self.synth_beampointingangle)) if bpa_data.ndim == 1: bpa_data = np.expand_dims(bpa_data, axis=1) beam_pointing_angle = xr.DataArray(bpa_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) qf_data = np.array(list(self.synth_qualityfactor)) if qf_data.ndim == 1: qf_data = np.expand_dims(qf_data, axis=1) quality_factor = xr.DataArray(qf_data, dims=['time', 'beam'], coords={'time': tme_coord, 'beam': bm_vals}) altitude = xr.DataArray(np.array(self.synth_altitude), dims=['time'], coords={'time': tme_coord}) latitude = xr.DataArray(np.array(self.synth_latitude), dims=['time'], coords={'time': tme_coord}) longitude = xr.DataArray(np.array(self.synth_longitude), dims=['time'], coords={'time': tme_coord}) dataset.append(xr.Dataset({'ntx': (['time'], ntx.data), # use the underlying numpy array to avoid problems in xarray 0.19.0 'counter': (['time'], counter.data), 'soundspeed': (['time'], soundspeed.data), 'tiltangle': (['time', 'beam'], tiltangle.data), 'txsector_beam': (['time', 'beam'], txsector.data), 'delay': (['time', 'beam'], delay.data), 'frequency': (['time', 'beam'], frequency.data), 'traveltime': (['time', 'beam'], twoway_travel_time.data), 'beampointingangle': (['time', 'beam'], beam_pointing_angle.data), 'qualityfactor': (['time', 'beam'], quality_factor.data), 'altitude': (['time'], altitude.data), 'latitude': (['time'], latitude.data), 'longitude': (['time'], longitude.data)}, coords={'time': tme_coord.data, 'beam': beam_coord.data}, attrs={list(self.profile.keys())[0]: self.profile[list(self.profile.keys())[0]], 'system_serial_number': [self.serialnum], 'secondary_system_serial_number': [self.secondary_serialnum], 'system_identifier': sec, 'min_lon': float(np.min(longitude)), 'min_lat': float(np.min(latitude)), 'max_lon': float(np.max(longitude)), 'max_lat': float(np.max(latitude))}).chunk()) return dataset def construct_rawattitude(self): """ Take the provided real data built into this class and generate new xarray attitude data. Returns ------- dataset: xarray DataSet object that represents the attitude data you would get when running xarray_conversion normally. """ tme_vals = list(self.synth_att_time) tme_coord = xr.DataArray(np.array(tme_vals), dims=['time'], coords=np.array([tme_vals])) heading = xr.DataArray(np.array(self.synth_yaw), dims=['time'], coords={'time': tme_coord}) heave = xr.DataArray(np.array(self.synth_heave), dims=['time'], coords={'time': tme_coord}) pitch = xr.DataArray(np.array(self.synth_pitch), dims=['time'], coords={'time': tme_coord}) roll = xr.DataArray(np.array(self.synth_roll), dims=['time'], coords={'time': tme_coord}) return xr.Dataset({'heading': (['time'], heading.data), 'heave': (['time'], heave.data), 'pitch': (['time'], pitch.data), 'roll': (['time'], roll.data)}, coords={'time': tme_coord.data}).chunk() def load_dataset(dset=None, skip_dask=True): """ Returns the 'real' dataset constructed using one of the synth data classes. If None, uses SyntheticFqpr with some dummy values. Otherwise, expects one of RealFqpr, RealDualheadFqpr, SyntheticFqpr, etc. Builds the xarray_conversion BatchRead class using the dataset data. Parameters ---------- dset: optional, if None will use SyntheticFqpr with zeroed values, otherwise one of RealFqpr, RealDualheadFqpr, SyntheticFqpr, etc classes. skip_dask Returns ------- kongs_dat: xarray_conversion BatchRead object """ if dset is None: dset = SyntheticFqpr(synth_time=0, synth_heave=0, synth_roll=0, synth_pitch=0, synth_yaw=0, synth_tx_mountroll=0, synth_tx_mountpitch=0, synth_tx_mountyaw=0, synth_rx_mountroll=0, synth_rx_mountpitch=0, synth_rx_mountyaw=0, secs=('999_0_290000', '999_0_300000')) kongs_dat = xarray_conversion.BatchRead('', skip_dask=skip_dask) kongs_dat.logger = logging.getLogger() kongs_dat.logger.setLevel(logging.INFO) kongs_dat.xyzrph = dset.xyzrph kongs_dat.raw_ping = dset.raw_ping kongs_dat.raw_att = dset.raw_att return kongs_dat

108.338426

182

0.477224

fd458ff72623db3649c7915a35f804c0aaafff28

359

py

Python

flask_worker/task.py

GrayMissing/flask-worker

d35fa7528c536de88dab93ae431b7860b59b53fc

[ "Apache-2.0" ]

2

2017-03-16T06:31:39.000Z

2017-03-16T09:22:35.000Z

flask_worker/task.py

GrayMissing/flask-worker

d35fa7528c536de88dab93ae431b7860b59b53fc

[ "Apache-2.0" ]

null

flask_worker/task.py

GrayMissing/flask-worker

d35fa7528c536de88dab93ae431b7860b59b53fc

[ "Apache-2.0" ]

null

# coding=utf-8 from .message import Message class Task(object): def __init__(self, func, worker): self.func = func self.worker = worker def start(self, *args, **kwargs): self.func(*args, **kwargs) def delay(self, *args, **kwargs): self.worker.default_chan.push(Message(self, args, kwargs)) return True

21.117647

66

0.615599

b2ac550678d972146bdb0deef242dcedda81f586

8,153

py

Python

ssguan/ignitor/auth/service.py

samuelbaizg/ssguan

97def0609d61e40472554464470758b5fb9eca35

[ "Apache-2.0" ]

1

2015-07-14T14:24:05.000Z

ssguan/ignitor/auth/service.py

samuelbaizg/ssguan

97def0609d61e40472554464470758b5fb9eca35

[ "Apache-2.0" ]

null

ssguan/ignitor/auth/service.py

samuelbaizg/ssguan

97def0609d61e40472554464470758b5fb9eca35

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2015 www.suishouguan.com # # Licensed under the Private License (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://github.com/samuelbaizg/ssguan/blob/master/LICENSE # # 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 ssguan.ignitor.auth.error import OldPasswordError, LoginFailedError, \ CredentialExpiredError from ssguan.ignitor.auth.model import User, RoleOperation, Token, Role, \ UserRole, encrypt_password from ssguan.ignitor.base import context from ssguan.ignitor.base.error import ProgramError, RequiredError from ssguan.ignitor.orm.error import LinkedError from ssguan.ignitor.orm.validator import LengthValidator from ssguan.ignitor.utility import kind, crypt def signup(u_name, u_email, u_account, u_password): u_name = crypt.rsa_decrypt(u_name, context.get_token().rsa_key) u_email = crypt.rsa_decrypt(u_email, context.get_token().rsa_key) u_account = crypt.rsa_decrypt(u_account, context.get_token().rsa_key) u_password = crypt.rsa_decrypt(u_password, context.get_token().rsa_key) create_user(u_name, u_email, u_account, u_password, False, User.ID_ANONYMOUS) return True def update_user_password(old_password, new_password): if context.get_token().is_anonymous(): raise CredentialExpiredError() old_password = crypt.rsa_decrypt(old_password, context.get_token().rsa_key) new_password = crypt.rsa_decrypt(new_password, context.get_token().rsa_key) user = User.get_by_key(context.get_user_id()) if user.u_password != encrypt_password(old_password): raise OldPasswordError() else: if __validate_password(new_password): user.u_password = encrypt_password(new_password) user.update(context.get_user_id()) return True def create_user(u_account, u_password, disable_flag, u_attributes=None, u_preferences=None): if __validate_password(u_password): user1 = User() user1.u_account = u_account user1.u_password = encrypt_password(u_password) user1.disable_flag = disable_flag user1.u_attributes = u_attributes user1.u_preferences = u_preferences user1.create(context.get_user_id()) return user1 def disable_user(user_id, disable_flag): user = User.get_by_key(user_id) user.disable_flag = disable_flag return user.update(context.get_user_id()) def get_user(user_id=None, u_account=None): user = None if user_id != None and user_id != User.NULL_USER_ID: user = User.get_by_key(user_id) elif u_account != None: query = User.all() query.filter("u_account =", u_account) if query.count() > 0: user = query.get() return user def login(login_name, login_password, is_anonymous=False): """ Return Token """ if is_anonymous: usermodel = get_user(User.ID_ANONYMOUS) else: if kind.str_is_empty(login_name): raise RequiredError("login_name") if kind.str_is_empty(login_name): raise RequiredError("login_password") login_name = crypt.rsa_decrypt( login_name, context.get_token().rsa_key) login_password = crypt.rsa_decrypt( login_password, context.get_token().rsa_key) query = User.all() query.filter("u_account =", login_name) password = encrypt_password(login_password) query.filter("u_password =", password) if query.count() > 0: usermodel = query.fetch(1)[0] else: raise LoginFailedError() role_codes = fetch_userroles(usermodel.key()) operation_codes = fetch_useroperations(usermodel.key()) token = Token(usermodel.key(), usermodel.u_account, role_codes, operation_codes, anonymous=usermodel.is_anonymous()) if usermodel.u_preferences is not None: for (key, value) in usermodel.u_preferences.items(): setattr(token, key, value) return token def logout(): token = login(None, None, is_anonymous=True) return token def get_role(role_id=None, role_name=None): if role_id != None: role = Role.get_by_key(role_id) else: query = Role.all() query.filter("role_name =", role_name) role = query.get() return role def create_role(role_code, role_name, enable_flag=True, reserve_flag=False): role = Role(role_code=role_code, role_name=role_name, enable_flag=enable_flag, reserve_flag=reserve_flag) role.create(context.get_user_id()) return role def delete_role(role_id): query = UserRole.all() query.filter("role_id =", role_id) if query.count() > 0: raise LinkedError("role", "user") role = Role.get_by_key(role_id) role.delete_roleoperations() return role.delete(context.get_user_id()) def fetch_roles(enable_flag=None, reserve_flag=None): query = Role.all() if enable_flag != None: query.filter("enable_flag =", enable_flag) if reserve_flag != None: query.filter("reserve_flag =", reserve_flag) return query.fetch() def create_userrole(user_id, role_id): userrole = UserRole(user_id=user_id, role_id=role_id) return userrole.create(context.get_user_id()) def delete_userroles(userrole_id=None, user_id=None, role_id=None): if userrole_id is None and user_id is None and role_id is None: raise ProgramError( "one of userrole_id, user_id, role_id can't be None at least") if userrole_id is not None: userrole = UserRole.get_by_key(userrole_id) return userrole.delete(context.get_user_id()) query = UserRole.all() if user_id is not None: query.filter("user_id =", user_id) if role_id is not None: query.filter("role_id =", role_id) return query.delete(context.get_user_id()) def fetch_userroles(user_id): """ Return the set of role_code that the user owns. """ codes = set() query = UserRole.all() query.filter("user_id =", user_id) userroles = query.fetch() if len(userroles) > 0: query = Role.all() query.filter("_id in ", [ userrole.role_id for userrole in userroles]) roles = query.fetch() for role in roles: codes.add(role.role_code) return codes def fetch_useroperations(user_id, role_id=None): """ Return the set of opeation_code that the user owns in the role. """ operation_codes = [] if user_id == User.ID_ROOT: for role in fetch_roles(): if role_id is None or role_id == role.key(): codes = role.fetch_roleoperations() operation_codes.extend(codes) return set(operation_codes) useroperations = [] if role_id is None: query = UserRole.all() query.filter("user_id =", user_id) userroles = query.fetch() if len(userroles) == 0: return set() else: query = RoleOperation.all() query.filter("role_id in", [ userrole.role_id for userrole in userroles]) else: query = RoleOperation.all() query.filter("role_id =", role_id) roleoperations = query.fetch() for roleoperation in roleoperations: useroperations.append(roleoperation.operation_code) return set(useroperations) def __validate_password(password): validator = LengthValidator(minlength=6, maxlength=20) return validator.validate(password, "password")

38.098131

110

0.6562

bb09f432a4c73afcec57760f45fa39fb783a3b84

6,850

py

Python

tests/flow/test_value_comparisons.py

filipecosta90/RedisGraph

96c00296b3dab510a101c24ad70cfd3f715f3805

[ "Ruby", "ISC", "MIT" ]

null

tests/flow/test_value_comparisons.py

filipecosta90/RedisGraph

96c00296b3dab510a101c24ad70cfd3f715f3805

[ "Ruby", "ISC", "MIT" ]

null

tests/flow/test_value_comparisons.py

filipecosta90/RedisGraph

96c00296b3dab510a101c24ad70cfd3f715f3805

[ "Ruby", "ISC", "MIT" ]

null

from RLTest import Env from redisgraph import Graph, Node, Edge from base import FlowTestsBase redis_graph = None dis_redis = None redis_con = None values = ["str1", "str2", False, True, 5, 10.5] class testValueComparison(FlowTestsBase): def __init__(self): super(testValueComparison, self).__init__() global redis_graph redis_con = self.env.getConnection() redis_graph = Graph("G", redis_con) self.populate_graph() @classmethod def populate_graph(self): global redis_graph for v in values: node = Node(label="value", properties={"val": v}) redis_graph.add_node(node) # Add an additional node with no properties redis_graph.add_node(Node(label="value")) redis_graph.commit() # Verify the ordering of values that can and cannot be directly compared def test_orderability(self): query = """MATCH (v:value) RETURN v.val ORDER BY v.val""" actual_result = redis_graph.query(query) expected = [['str1'], ['str2'], [False], [True], [5], [10.5], [None]] self.env.assertEquals(actual_result.result_set, expected) # Expect the results to appear in reverse when using descending order query = """MATCH (v:value) RETURN v.val ORDER BY v.val DESC""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set, expected[::-1]) # From the Cypher specification: # "In a mixed set, any numeric value is always considered to be higher than any string value" def test_mixed_type_min(self): query = """MATCH (v:value) RETURN MIN(v.val)""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], 'str1') def test_mixed_type_max(self): query = """MATCH (v:value) RETURN MAX(v.val)""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], 10.5) # Verify that disjoint types pass <> filters def test_disjoint_comparisons(self): # Compare all node pairs under a Cartesian product query = """MATCH (v:value), (w:value) WHERE ID(v) <> ID(w) AND v.val = w.val RETURN v""" actual_result = redis_graph.query(query) # No nodes have the same property, so there should be 0 equal results expected_result_count = 0 self.env.assertEquals( len(actual_result.result_set), expected_result_count) query = """MATCH (v:value), (w:value) WHERE ID(v) <> ID(w) AND v.val <> w.val RETURN v""" actual_result = redis_graph.query(query) # Every comparison should produce an inequal result node_count = len(redis_graph.nodes) # The node with value set as "null" should not be returned or be part of evaluation. expected_result_count = (node_count - 1) * (node_count - 2) self.env.assertEquals( len(actual_result.result_set), expected_result_count) # Verify that AND conditions on true, false, and NULL values evaluate appropriately def test_AND_truth_tables(self): # Test two non-NULL values query = """RETURN true AND true, true AND false, false AND true, false AND false""" actual_result = redis_graph.query(query) expected_val = [True, False, False, False] # Truth table for AND self.env.assertEquals(actual_result.result_set[0], expected_val) # false AND null == false query = """RETURN false AND NULL""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], False) # true AND null == null query = """RETURN true AND NULL""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], None) # Test two NULL values query = """RETURN NULL AND NULL""" actual_result = redis_graph.query(query) # AND comparisons with two NULL values evaluate to NULL self.env.assertEquals(actual_result.result_set[0][0], None) # Verify that OR conditions on true, false, and NULL values evaluate appropriately def test_OR_truth_tables(self): # Test two non-NULL values query = """RETURN true OR true, true OR false, false OR true, false OR false""" actual_result = redis_graph.query(query) expected_val = [True, True, True, False] # Truth table for OR self.env.assertEquals(actual_result.result_set[0], expected_val) # false OR null == null query = """RETURN false OR NULL""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], None) # true OR null == true query = """RETURN true OR NULL""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], True) # null OR null == null query = """RETURN NULL OR NULL""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], None) # Verify that XOR conditions on true, false, and NULL values evaluate appropriately def test_XOR_truth_tables(self): # Test two non-NULL values query = """RETURN true XOR true, true XOR false, false XOR true, false XOR false""" actual_result = redis_graph.query(query) expected_val = [False, True, True, False] # Truth table for XOR self.env.assertEquals(actual_result.result_set[0], expected_val) # Test one NULL value query = """RETURN true XOR null, false XOR null""" actual_result = redis_graph.query(query) # XOR comparisons with one NULL value always evaluate to null expected_val = [None, None] self.env.assertEquals(actual_result.result_set[0], expected_val) # Test two NULL values query = """RETURN NULL XOR NULL""" actual_result = redis_graph.query(query) # XOR comparisons with two NULL values evaluate to NULL self.env.assertEquals(actual_result.result_set[0][0], None) # Verify that NOT conditions on true, false, and NULL values evaluate appropriately def test_NOT_truth_tables(self): # Test non-NULL values query = """RETURN NOT true, NOT false""" actual_result = redis_graph.query(query) expected_val = [False, True] # Truth table (single-valued) for NOT self.env.assertEquals(actual_result.result_set[0], expected_val) # NOT null == null query = """RETURN NOT NULL""" actual_result = redis_graph.query(query) self.env.assertEquals(actual_result.result_set[0][0], None)

42.546584

97

0.646423

16f0615488dab37019cb2874be31171266439f34

3,236

py

Python

profiles_project/settings.py

JackHarris1973/profiles-rest-api

9868e612d7d01d733524618d47c69128ec3f29e4

[ "MIT" ]

null

profiles_project/settings.py

JackHarris1973/profiles-rest-api

9868e612d7d01d733524618d47c69128ec3f29e4

[ "MIT" ]

null

profiles_project/settings.py

JackHarris1973/profiles-rest-api

9868e612d7d01d733524618d47c69128ec3f29e4

[ "MIT" ]

null

""" Django settings for profiles_project project. Generated by 'django-admin startproject' using Django 2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'z)5t)@surh)---(i6ts7#8alu_*ko-#a5!sh$oi4#=qdl65td4' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'rest_framework', 'rest_framework.authtoken', 'profiles_api', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'profiles_project.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'profiles_project.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/' AUTH_USER_MODEL = 'profiles_api.UserProfile'

25.68254

91

0.698702

4ff1d43c0dece812b3eaa2f892cb9a31c3edb5ef

3,080

py

Python

app/app/settings.py

cherylliao/Back

c06dc609eb7bc38b881f9f9400e2b9e47a64e46d

[ "MIT" ]

null

app/app/settings.py

cherylliao/Back

c06dc609eb7bc38b881f9f9400e2b9e47a64e46d

[ "MIT" ]

null

app/app/settings.py

cherylliao/Back

c06dc609eb7bc38b881f9f9400e2b9e47a64e46d

[ "MIT" ]

null

""" Django settings for app project. Generated by 'django-admin startproject' using Django 2.1.11. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '=*un1t8(yx5_atno30_1o3u)r@2^*z(^+8hcmx)n3$g$7g@8km' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'app.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'app.wsgi.application' # Database # https://docs.djangoproject.com/en/2.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.1/howto/static-files/ STATIC_URL = '/static/'

25.454545

91

0.694481

09360e074db5425dc4eca08ff799449da7477981

17,985

py

Python

plugins/modules/panos_facts.py

bvaradinov-c/pan-os-ansible

554960c9d9e81076020fa1cd8ca8892307fcadc7

[ "Apache-2.0" ]

null

plugins/modules/panos_facts.py

bvaradinov-c/pan-os-ansible

554960c9d9e81076020fa1cd8ca8892307fcadc7

[ "Apache-2.0" ]

null

plugins/modules/panos_facts.py

bvaradinov-c/pan-os-ansible

554960c9d9e81076020fa1cd8ca8892307fcadc7

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- # Copyright: (c) 2018, Tomi Raittinen <tomi.raittinen@gmail.com> # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import absolute_import, division, print_function __metaclass__ = type ANSIBLE_METADATA = { 'metadata_version': '1.1', 'status': ['preview'], 'supported_by': 'community' } DOCUMENTATION = ''' --- module: panos_facts short_description: Collects facts from PAN-OS devices description: - Collects fact information from Palo Alto Networks firewalls and Panorama. author: - Tomi Raittinen (@traittinen) - Garfield Lee Freeman (@shinmog) - Michael Richardson (@mrichardson03) notes: - Checkmode is not supported. requirements: - pan-python version_added: 2.8 extends_documentation_fragment: - paloaltonetworks.panos.fragments.transitional_provider options: host: description: - B(Removed) - Use I(provider) instead. gather_subset: description: - Scopes what information is gathered from the device. Possible values for this argument include all, system, session, interfaces, ha, routing, vr, vsys and config. You can specify a list of values to include a larger subset. Values can also be used with an initial ! to specify that a specific subset should not be collected. Panorama only supports the system, ha, and config subsets. required: false default: ['!config'] ''' EXAMPLES = ''' # Gather facts - name: Get facts panos_facts: provider: '{{ provider }}' gather_subset: ['config'] ''' RETURN = ''' ansible_net_hostname: description: Hostname of the local node. returned: When C(system) is specified in C(gather_subset). type: str ansible_net_serial: description: Serial number of the local node. returned: When C(system) is specified in C(gather_subset). type: str ansible_net_model: description: Device model of the local node. returned: When C(system) is specified in C(gather_subset). type: str ansible_net_version: description: PanOS version of the local node. returned: When C(system) is specified in C(gather_subset). type: str ansible_net_uptime: description: Uptime of the local node. returned: When C(system) is specified in C(gather_subset). type: str sample: 469 days, 19:30:16 ansible_net_full_commit_required: description: Specifies whether full commit is required to apply changes. returned: When C(system) is specified in C(gather_subset). type: bool ansible_net_uncommitted_changes: description: Specifies if commit is required to apply changes. returned: When C(system) is specified in C(gather_subset). type: bool ansible_net_multivsys: description: Specifies whether multivsys mode is enabled on local node. returned: When C(system) is specified in C(gather_subset). type: str sample: on ansible_net_session_usage: description: Current number of active sessions on local node returned: When C(session) is specified in C(gather_subset). type: int ansible_net_session_max: description: Maximum number of sessions on local node. returned: When C(session) is specified in C(gather_subset). type: int ansible_net_pps: description: Current packets/s throughput. returned: When C(session) is specified in C(gather_subset). type: int ansible_net_kbps: description: Current kb/s throughput. returned: When C(session) is specified in C(gather_subset). type: int ansible_net_ha_enabled: description: Specifies whether HA is enabled or not. returned: When C(ha) is specified in C(gather_subset). type: bool ansible_net_ha_localmode: description: Specifies the HA mode on local node. returned: When C(ha) is specified in C(gather_subset). type: str sample: Active-Passive ansible_net_ha_localstate: description: Specifies the HA state on local node. returned: When C(ha) is specified in C(gather_subset). type: str sample: active ansible_net_config: description: Device confiration in XML format. returned: When C(config) is specified in C(gather_subset). type: str ansible_net_interfaces: description: Network interface information. returned: When C(interface) is specified in C(gather_subset). type: complex contains: name: description: Interface name. type: str sample: ae1.23 comment: description: Interface description/comment. type: str ip: description: List of interface IP addresses in CIDR format. type: list sample: 192.0.2.1/24 ipv6: description: List of interface IPv6 addresses in CIDR format. type: list sample: 2001:db8::0000:1/64 tag: description: VLAN tag for the subinterface. type: int sample: 23 ansible_net_virtual_routers: description: Virtual Router information. returned: When C(vr) is specified in C(gather_subset). type: complex contains: vr_name: description: Name of the virtual router. type: str vr_routerid: description: BGP router ID. type: str sample: 192.0.2.1 vr_asn: description: BGP autonomous system number. type: int sample: 65001 vr_iflist: description: List interfaces in the VR. type: list sample: - ae2.12 - ae2.14 ansible_net_virtual_systems: description: Virtual System information. returned: When C(vsys) is specified in C(gather_subset). type: complex contains: vsys_description: description: VSYS description/name. type: str vsys_id: description: VSYS ID. type: int vsys_name: description: VSYS name. type: int sample: vsys1 vsys_currentsessions: description: Number of active sessions on VSYS. type: int vsys_vsys_maxsessions: description: Number of configured maximum sessions on VSYS. 0 for unlimited. type: int vsys_vrlist: description: List of virtual routers attached to the VSYS. type: list vsys_iflist: description: List of interfaces attached to the VSYS. type: list vsys_zonelist: description: List of security zones attached to the VSYS. type: list ansible_net_routing_table: description: Routing Table information. returned: When C(routing) is specified in C(gather_subset). type: complex contains: age: description: Age of the route entry in the routing table. type: str destination: description: IP prefix of the destination. type: str flags: description: Flags for the route entry in the routing table. type: str interface: description: Egress interface the router will use to reach the next hop. type: str metric: description: Metric for the route. type: str nexthop: description: Address of the device at the next hop toward the destination network. type: str route_table: description: Unicast or multicast route table. type: str virtual_router: description: Virtual router the route belongs to. type: str ''' from ansible.module_utils.basic import AnsibleModule from ansible_collections.paloaltonetworks.panos.plugins.module_utils.panos import get_connection from ansible.module_utils.six import iteritems try: from pandevice.device import Vsys from pandevice.errors import PanDeviceError from pandevice.firewall import Firewall from pandevice.network import AggregateInterface from pandevice.network import EthernetInterface from pandevice.network import Layer3Subinterface from pandevice.network import Layer2Subinterface from pandevice.network import IPv6Address from pandevice.network import VlanInterface from pandevice.network import LoopbackInterface from pandevice.network import TunnelInterface from pandevice.network import VirtualRouter from pandevice.network import Bgp from pandevice.network import Zone except ImportError: pass class Factbase(object): def __init__(self, module, parent): self.module = module self.parent = parent self.facts = dict() class System(Factbase): def populate_facts(self): xapi = self.parent root = xapi.op('show system info').find('./result/system') self.facts.update({ 'hostname': root.findtext('hostname'), 'model': root.findtext('model'), 'serial': root.findtext('serial'), 'version': root.findtext('sw-version'), 'uptime': root.findtext('uptime'), 'multivsys': root.findtext('multi-vsys') }) # Check uncommitted changes result = xapi.op('check pending-changes').find('./result').text if result == "yes": uncommitted_changes = True else: uncommitted_changes = False # Check if full commit is required if uncommitted_changes: result = xapi.op('check full-commit-required').find('./result').text if result == "yes": full_commit_required = True else: full_commit_required = False else: full_commit_required = False self.facts.update({ 'uncommitted_changes': uncommitted_changes, 'full_commit_required': full_commit_required }) class Session(Factbase): def populate_facts(self): root = self.parent.op('show session info') self.facts.update({ 'session_usage': root.find('./result/num-active').text, 'session_max': root.find('./result/num-max').text, 'pps': root.find('./result/pps').text, 'kbps': root.find('./result/kbps').text }) class Routing(Factbase): def populate_facts(self): entries = self.parent.op('show routing route').findall('./result/entry') routing_table = [ {route.tag.replace('-', '_'): route.text for route in entry} for entry in entries ] self.facts.update({ 'routing_table': routing_table }) class Interfaces(Factbase): def populate_facts(self): interfaces = [] cls_types = (AggregateInterface, EthernetInterface, VlanInterface, LoopbackInterface, TunnelInterface) for cls_type in cls_types: listing = cls_type.refreshall(self.parent, add=False) for elm in listing: iface_info = { 'name': elm.name, 'comment': elm.comment, 'ip': getattr(elm, 'ip', []), 'ipv6': [], } for child in elm.children: if isinstance(child, IPv6Address): iface_info['ipv6'].append(child.uid) elif isinstance(child, Layer3Subinterface) or isinstance(child, Layer2Subinterface): child_info = { 'name': child.name, 'comment': child.comment, 'tag': child.tag, 'ip': getattr(child, 'ip', []), 'ipv6': [], } for sub_child in child.children: if isinstance(child, IPv6Address): child_info['ipv6'].append(sub_child.name) interfaces.append(child_info) interfaces.append(iface_info) newlist = sorted(interfaces, key=lambda k: k['name']) self.facts.update({ 'interfaces': newlist }) class Ha(Factbase): def populate_facts(self): root = self.parent.op('show high-availability all') if root.find('./result/enabled').text == 'yes': ha_enabled = True ha_localmode = root.find('./result/group/local-info/mode').text ha_localstate = root.find('./result/group/local-info/state').text else: ha_enabled = False ha_localmode = "standalone" ha_localstate = "active" self.facts.update({ 'ha_enabled': ha_enabled, 'ha_localmode': ha_localmode, 'ha_localstate': ha_localstate }) class Vr(Factbase): def populate_facts(self): listing = VirtualRouter.refreshall(self.parent, add=False) virtual_routers = [] for vr in listing: info = { 'vr_name': vr.name, 'vr_iflist': vr.interface or [], 'vr_asn': None, 'vr_routerid': None, } for child in vr.children: if isinstance(child, Bgp): info['vr_asn'] = child.local_as info['vr_routerid'] = child.router_id virtual_routers.append(info) self.facts.update({ 'virtual_routers': virtual_routers }) class VsysFacts(Factbase): def populate_facts(self): # Get session usage XML session_root = self.parent.op('show session meter') # Loop through all VSYS virtual_systems = [] vsys_list = Vsys.refreshall(self.parent, name_only=True) for vsys in vsys_list: for var in ('display_name', 'interface', 'virtual_routers'): vsys.refresh_variable(var) zones = [x.name for x in Zone.refreshall(vsys, name_only=True)] vsys_id = vsys.name[4:] vsys_sessions = session_root.find(".//entry/[vsys='" + vsys_id + "']") vsys_currentsessions = vsys_sessions.find('.//current').text vsys_maxsessions = vsys_sessions.find('.//maximum').text virtual_systems.append({ 'vsys_id': vsys_id, 'vsys_name': vsys.name, 'vsys_description': vsys.display_name, 'vsys_iflist': vsys.interface, 'vsys_vrlist': vsys.virtual_routers, 'vsys_zonelist': zones, 'vsys_maxsessions': vsys_maxsessions, 'vsys_currentsessions': vsys_currentsessions, }) self.facts.update({ 'virtual-systems': virtual_systems }) class Config(Factbase): def populate_facts(self): self.parent.xapi.show() config = self.parent.xapi.xml_result().encode('utf-8') self.facts.update({ 'config': config }) FIREWALL_SUBSETS = dict( system=System, session=Session, interfaces=Interfaces, ha=Ha, vr=Vr, vsys=VsysFacts, config=Config, routing=Routing, ) PANORAMA_SUBSETS = dict( system=System, ha=Ha, config=Config, ) def main(): helper = get_connection( with_classic_provider_spec=True, argument_spec=dict( gather_subset=dict(default=['!config'], type='list'), # TODO(gfreeman) - remove in a later version. host=dict(), ), ) module = AnsibleModule( argument_spec=helper.argument_spec, supports_check_mode=False, required_one_of=helper.required_one_of, ) # TODO(gfreeman) - remove in a later version. if module.params['host'] is not None: module.fail_json(msg='Param "host" is removed; use "provider" instead') parent = helper.get_pandevice_parent(module) gather_subset = module.params['gather_subset'] runable_subsets = set() exclude_subsets = set() valid_subsets = None if isinstance(parent, Firewall): valid_subsets = frozenset(FIREWALL_SUBSETS) else: valid_subsets = frozenset(PANORAMA_SUBSETS) for subset in gather_subset: if subset == 'all': runable_subsets.update(valid_subsets) continue if subset.startswith('!'): subset = subset[1:] if subset == 'all': exclude_subsets.update(valid_subsets) continue exclude = True else: exclude = False if subset not in valid_subsets: module.fail_json(msg='Subset must be one of [%s], got %s' % (', '.join(valid_subsets), subset)) if exclude: exclude_subsets.add(subset) else: runable_subsets.add(subset) if not runable_subsets: runable_subsets.update(valid_subsets) runable_subsets.difference_update(exclude_subsets) runable_subsets.add('system') facts = dict() facts['gather_subset'] = list(runable_subsets) # Create instance classes, e.g. System, Session etc. instances = list() for key in runable_subsets: if isinstance(parent, Firewall): instances.append(FIREWALL_SUBSETS[key](module, parent)) else: instances.append(PANORAMA_SUBSETS[key](module, parent)) # Populate facts for instances for inst in instances: inst.populate_facts() facts.update(inst.facts) ansible_facts = dict() for key, value in iteritems(facts): key = 'ansible_net_%s' % key ansible_facts[key] = value module.exit_json(ansible_facts=ansible_facts) if __name__ == '__main__': main()

31.831858

110

0.61012

057024a514fef642fdf17bcf97a7597f247c9355

942

py

Python

setup.py

mathcube7/swiftex

384d586d9a2f24f6b6d4d888b41adfc8683df13f

[ "MIT" ]

null

setup.py

mathcube7/swiftex

384d586d9a2f24f6b6d4d888b41adfc8683df13f

[ "MIT" ]

null

setup.py

mathcube7/swiftex

384d586d9a2f24f6b6d4d888b41adfc8683df13f

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from os.path import exists from setuptools import setup, find_packages author = 'mathcube' email = 'mathcube7@gmail.com' description = 'Easy and fast math typesetting with Python' name = 'swiftex' year = '2021' url = 'https://github.com/mathcube7/swiftex' version = '0.0.4' setup( name=name, author=author, author_email=email, url=url, version=version, packages=find_packages(), package_dir={name: name}, include_package_data=True, license='MIT', description=description, long_description=open('README.md').read() if exists('README.md') else '', long_description_content_type="text/markdown", install_requires=['sphinx', 'IPython', ], python_requires=">=3.6", classifiers=['Operating System :: OS Independent', 'Programming Language :: Python :: 3', ], platforms=['ALL'], )

26.914286

77

0.641189

a7390e842da2b260bba5d7e81648e01a710a9d51

9,548

py

Python

chunkflow/chunk/image/adjust_grey.py

fcollman/chunkflow

5834d406d4fc3579bae37edfb50a11dc67f4a1a3

[ "Apache-2.0" ]

null

chunkflow/chunk/image/adjust_grey.py

fcollman/chunkflow

5834d406d4fc3579bae37edfb50a11dc67f4a1a3

[ "Apache-2.0" ]

null

chunkflow/chunk/image/adjust_grey.py

fcollman/chunkflow

5834d406d4fc3579bae37edfb50a11dc67f4a1a3

[ "Apache-2.0" ]

null

# Shang Mu, January 2019 # No stability consideration is accounted for in implementing this. # TODO: Need unit tests # TODO: use the out=None convention of numpy for in-place edits vs # new copy of array import numpy as np from chunkflow.chunk import Chunk def window_level(img, half_window, level): r''' Pixel values equal to level will become 0, level±window/2 will become ±1. Mathematically equivalent of rescale(img, level+np.array([-1,1])*half_window, [-1,1]) ''' if half_window <= 0: raise ValueError('invalid value.') #img = np.copy(img) img -= level img *= 1. / half_window return img def rescale(img, old_range, new_range=[-1, 1]): r''' Linearly remap pixel values within old_range to the new_range. For example, from values between [0,1] to values between [-1,1]. ''' if np.array_equal(old_range, new_range): # is this even fast in python? return img img -= old_range[0] img *= (new_range[1] - new_range[0]) / (old_range[1] - old_range[0]) img += new_range[0] return img def get_voxels_for_stats(img, min_max_invalid=[True, True], debug=False): min_invalid, max_invalid = min_max_invalid #TODO clip_percentile = [None,None] mask = True if min_invalid: mi = np.min(img) mask = img != mi if max_invalid: ma = np.max(img) mask = np.logical_and(mask, img != ma) #if quantile if mask is True: stat_img = img else: stat_img = img[mask] if debug and min_invalid and max_invalid: print('rawminmax =', mi, ma) return stat_img def normalize(img, method, target_scale=[-1, 1], min_max_invalid=[True, True], invalid_values=[], clip_percentile=[None, None], do_clipping=False, make_copy=True, debug=False): r''' *Assuming floating point voxel values.* ''' stat_img = get_voxels_for_stats(img, min_max_invalid=min_max_invalid, debug=debug) if make_copy: img = np.copy(img) if stat_img.size == 0: return img if method == 1 or method == 'meanstd': sd = np.std(stat_img) if sd > 0: img -= np.mean(stat_img) img /= sd if debug: print('sd=', sd, 'mean=', np.mean(stat_img)) if do_clipping: img = np.clip(img, -2, 2, img) # 2*std elif method == 2 or method == 'fill': mi = np.min(stat_img) ma = np.max(stat_img) if debug: print('minmax =', mi, ma) img = rescale(img, [mi, ma], new_range=target_scale) if do_clipping: img = np.clip(img, *target_scale, img) return img def adjust_gamma(img, gamma, auto_rescale=False): r''' Floating point images only. Assuming pixel values in the range of [0,1]; values out of the range will be clipped. Otherwise setting auto_rescale=True will rescale image to [0,1] (or make no change if and only if the image has uniform value all across) before applying gamma adjustment. ''' #img = np.copy(img) if auto_rescale: mi = np.min(img) ma = np.max(img) if mi != ma: img -= mi img /= ma - mi img = np.clip(img, 0, 1, img) img **= gamma return img def grey_augment(img, max_level_change=0.15, max_window_change=0.15, max_log2gamma_change=1.0, level_prob=1.0, window_prob=0.8, gamma_prob=0.3, value_range=[-1, 1], make_copy=True): r""" Performs grey value (histogram) augmentation on img. Gamma adjustment is applied after adjusting window/level. value_range: (Expected) range of pixel values of the input image and this is also what the output image will conform to. The window/level of the pre-augmentation input image are inferred from this. Values outside the range in the output will be clipped. """ if make_copy: img = np.copy(img) change_level = np.random.rand() < level_prob change_window = np.random.rand() < window_prob change_gamma = np.random.rand() < gamma_prob level = (value_range[0] + value_range[1]) / 2 half_window = (value_range[1] - value_range[0]) / 2 log2gamma = 0 if change_level: level += 2 * (np.random.rand() - 0.5) * max_level_change if change_window: half_window += 2 * (np.random.rand() - 0.5) * max_window_change / 2 if change_gamma: log2gamma += 2 * (np.random.rand() - 0.5) * max_log2gamma_change if change_level or change_window or change_gamma: if change_gamma: target_range = [0, 1] # gamma adjustment only makes sense in [0,1] range in the conventional sense else: target_range = value_range # level/window adjustement using rescale() img = rescale(img, level + np.array([-1, 1]) * half_window, target_range) img = np.clip(img, *target_range, img) if change_gamma: # perhaps gamma should always happen before window/level on the raw full range of values? img = adjust_gamma(img, 2**log2gamma) # rescale back to original/desired pixel value representation img = rescale(img, [0, 1], value_range) return img def normalize_section_shang(image: np.ndarray, nominalmin: float, nominalmax: float, clipvalues: bool): """ Parameters ------------ image: image volume. nominalmin: min threshold nominalmax: max threshold clipvalues: clip values or not. """ assert nominalmin < nominalmax assert image.ndim == 3 global_offset = image.global_offset originaltype = image.dtype arr = image.astype(np.float32) # number of bits per voxel nbits = np.dtype(originaltype).itemsize * 8 default_nominalmax = float(2**nbits - 1) nominalmin = nominalmin if nominalmin is not None else 0.0 nominalmax = nominalmax if nominalmax is not None else default_nominalmax normalization = 'fill' # stack/chunk-wise normalization first if necessary (for blank slices within a valid stack) #arr = normalize(arr, normalization, target_scale = [-1,1], min_max_invalid = [True]*2, make_copy=False) # slice-wise normalization # Note in chunkflow the first dim is z/slice for ii in range(arr.shape[0]): normalize(arr[ii, :, :], normalization, target_scale=[nominalmin, nominalmax], min_max_invalid=[True, True], do_clipping=clipvalues, make_copy=False) # cast to original data type if necessary #arr = np.round(arr) #arr = arr.astype(originaltype) return Chunk(arr, global_offset=global_offset) def test1_grey_augment(): from numpy.random import randint x = np.random.rand(*randint(200, size=randint(5))) print(x.shape) y = grey_augment(x, value_range=[0, 1]) ind = np.where(np.logical_and(y > 0, y < 1)) return np.array_equal(np.argsort(x[ind]), np.argsort(y[ind])) if __name__ == "__main__": import sys import glob import tifffile import ntpath import os if len(sys.argv) > 1: if sys.argv[1] == 'normalize': pattern, out = sys.argv[2:4] #all_tiffs = glob.glob("/omniData/TracerTasks/pinky/cell_bodies/BasilData2/RawData/*.tif") all_tiffs = sorted(glob.glob(pattern)) #print(all_tiffs) for image_file in all_tiffs: imgs = tifffile.imread(image_file).astype(np.float32) print(image_file) #print(imgs.shape) if len(imgs.shape) == 2: imgs = imgs[..., None] if 0: normalization = 'meanstd' old_range = (-2, 2) elif 1: normalization = 'fill' old_range = (-1, 1) if 1: # stack-wise normalization imgs = normalize(imgs, normalization, target_scale=[-1, 1], min_max_invalid=[True] * 2, make_copy=False, debug=True, do_clipping=True) else: # slice-wise normalization for ii in range(imgs.shape[2]): normalize(imgs[..., ii], normalization, target_scale=[-1, 1], min_max_invalid=[True, True], make_copy=False, debug=True, do_clipping=True) imgs = rescale(imgs, old_range=old_range, new_range=[0, 255]).astype(np.uint8) fname = out + '/' + ntpath.basename(image_file) + '_norm.tif' if os.path.exists(fname): raise IOError('file already exist') else: tifffile.imwrite(fname, data=imgs)

32.040268

115

0.556137

35793eef09fcdb65906ac466037ca753adc9ee32

4,841

py

Python

python/pySimE/space/exp/OrbitalTransferOpt/Poly6th_symbolic.py

ProkopHapala/SimpleSimulationEngine

240f9b7e85b3a6eda7a27dc15fe3f7b8c08774c5

[ "MIT" ]

26

2016-12-04T04:45:12.000Z

2022-03-24T09:39:28.000Z

python/pySimE/space/exp/OrbitalTransferOpt/Poly6th_symbolic.py

Aki78/FlightAI

9c5480f2392c9c89b9fee4902db0c4cde5323a6c

[ "MIT" ]

null

python/pySimE/space/exp/OrbitalTransferOpt/Poly6th_symbolic.py

Aki78/FlightAI

9c5480f2392c9c89b9fee4902db0c4cde5323a6c

[ "MIT" ]

2

2019-02-09T12:31:06.000Z

2019-04-28T02:24:50.000Z

#!/usr/bin/env python from sympy import * from sympy.matrices import Matrix print print " ==== Solution of 6th order polygon coeficients ==== " p0, p1, v0, v1, a0,a1,t = symbols('p0 p1 v0 v1 a0 a1 t') " 1 t t2 t3 t4 t5 " A = Matrix([ [ 1, 0, 0, 0, 0, 0 ], # p0 [ 1, 1, 1, 1, 1, 1 ], # p1 [ 0, 1, 0, 0, 0, 0 ], # v0 [ 0, 1, 2, 3, 4, 5 ], # v1 [ 0, 0, 2, 0, 0, 0 ], # a0 [ 0, 0, 2, 6, 12, 20 ]]) # a1 b = Matrix(6,1,[p0,p1,v0,v1,a0,a1]) CP = A.LUsolve(b) print "Coefficients " print CP print print " ==== Make A4 A5 zero ==== " A = Matrix([ [ 1.5,-1.0 ], [ -0.5, 0.5 ]]) b = Matrix(2,1,[ -(15*p0 - 15*p1 + 8*v0 + 7*v1), -(-6*p0 + 6*p1 - 3*v0 - 3*v1)]) c = A.LUsolve(b) print " Coefficients: " print c print print " ==== Make Derivative of accelaration zero === " A3 = -1.5*a0 + 0.5*a1 - 10*p0 + 10*p1 - 6*v0 - 4*v1 A4 = 1.5*a0 - a1 + 15*p0 - 15*p1 + 8*v0 + 7*v1 A5 = -0.5*a0 + 0.5*a1 - 6*p0 + 6*p1 - 3*v0 - 3*v1 #Eq1 = 6*A3 #Eq2 = 6*A3 + 24*A4 + 60*A5 Eq1 = 6*CP[3] Eq2 = 6*CP[3] + 24*CP[4] + 60*CP[5] aa = solve( [Eq1,Eq2],[a0,a1] ) print aa print print " ==== Polynom itselfs === " P = CP[0] + CP[1]*t + CP[2]*t**2 + CP[3]*t**3 + CP[4]*t**4 + CP[5]*t**5 dP = CP[1]*t + 2*CP[2]*t + 3*CP[3]*t**2 + 4*CP[4]*t**3 + 5*CP[5]*t**4 ddP = 2*CP[2] + 6*CP[3]*t + 12*CP[4]*t**2 + 20*CP[5]*t**3 print "P = ",P print print "dP = ",dP print print "ddP = ",ddP print print " ==== Variational derivatives of gravitational acclearation === " print " :: F = 1/r^2 ; r = P(t) " print " :: dF(t)/dCi = -2/(P(t)^3) * dP/dCi " dP_da0 = diff( P, a0, 1) print "dP/da0 = ", dP_da0 dP_da1 = diff( P, a1, 1) print "dP/da1 = ", dP_da1 print print " ==== Variational derivatives of kinematic acclearation in radial coordinates === " # http://en.wikipedia.org/wiki/Polar_coordinate_system Vector calculus # X = # dX = dR*uR + R*dPhi*uPhi # ddX = ( ddR + R*dPhi**2 )*uR + R*ddPhi + 2* dR * dPhi print " F_Phi = R * ddPhi + 2 * dR * dPhi " print " F_R = R * dPhi**2 + ddR " ap0, ap1, ar0, ar1 = symbols('ap0, ap1, ar0, ar1') Phi = Function('Phi' )(ap0,ap1) dPhi = Function('dPhi' )(ap0,ap1) ddPhi = Function('ddPhi')(ap0,ap1) R = Function('R' )(ar0,ar1) dR = Function('dR' )(ar0,ar1) ddR = Function('ddR')(ar0,ar1) F_Phi = R * ddPhi + 2 * dR * dPhi F_R = R * dPhi**2 + ddR print print " F_Phi = ", F_Phi print print " d F_Phi / ap0 = " #pprint ( diff( F_Phi, ap0) ) print diff( F_Phi, ap0) print " d F_Phi / ar0 = " #pprint ( diff( F_Phi, ar0)) print diff( F_Phi, ar0) print print " F_Phi = ", F_Phi print print " d F_R / ap0 = " #pprint ( diff( F_R, ap0) ) print diff( F_R, ap0) print " d F_R / ar0 = " #pprint ( diff( F_R, ar0) ) print diff( F_R, ar0) diff_P_a0 = diff( P, a0) diff_P_a1 = diff( P, a1) diff_dP_a0 = diff( dP, a0) diff_dP_a1 = diff( dP, a1) diff_ddP_a0 = diff( ddP, a0) diff_ddP_a1 = diff( ddP, a1) print print " diff_P_a0 = ",diff_P_a0 print print " diff_P_a1 = ",diff_P_a1 print print " diff_dP_a0 = ",diff_dP_a0 print print " diff_dP_a1 = ",diff_dP_a1 print print " diff_ddP_a0 = ",diff_ddP_a0 print print " diff_ddP_a1 = ",diff_ddP_a1 ''' print print " ==== FULL EXAPNSION of kinematic variational derivatives === " h0,h1,dh0,dh1,ddh0,ddh1 = symbols('h0 h1 dh0 dh1 ddh0 ddh1') r0,r1,dr0,dr1,ddr0,ddr1 = symbols('r0 r1 dr0 dr1 ddr0 ddr1') listP = [ p0 ,p1 ,v0 ,v1 ,a0 ,a1 ] listPhi = [ h0 ,h1 ,dh0 ,dh1 ,ddh0 ,ddh1 ] listR = [ r0 ,r1 ,dr0 ,dr1 ,ddr0 ,ddr1 ] PhiP = P.subs( listP[0], listPhi[0] ) for i in range(1,len(listPhi)): PhiP = PhiP.subs( listP[i], listPhi[i] ) RP = P.subs( listP[0], listR[0] ) for i in range(1,len(listR)): RP = RP.subs( listP[i], listR[i] ) dPhiP = diff( PhiP, t, 1) ddPhiP = diff( dPhiP, t, 1) dRP = diff( RP, t, 1) ddRP = diff( dRP, t, 1) F_Phi = RP * ddPhiP + 2*dRP * dPhiP F_R = RP * dPhiP**2 + ddRP print print " ===== Derivatives of F_Phi " dFPhi_ddh0 = diff( F_Phi, ddh0, 1) dFPhi_ddh1 = diff( F_Phi, ddh1, 1) dFPhi_ddr0 = diff( F_Phi, ddr0, 1) dFPhi_ddr1 = diff( F_Phi, ddr1, 1) print print " dFPhi_ddh0 = ",dFPhi_ddh0 print print " dFPhi_ddh1 = ",dFPhi_ddh1 print print " dFPhi_ddr0 = ",dFPhi_ddr0 print print " dFPhi_ddr1 = ",dFPhi_ddr1 print print " ===== Derivatives of F_R " dFR_ddh0 = diff( F_R , ddh0, 1) dFR_ddh1 = diff( F_R , ddh1, 1) dFR_ddr0 = diff( F_R , ddr0, 1) dFR_ddr1 = diff( F_R , ddr1, 1) print print " dFR_ddh0 = ",dFR_ddh0 print print " dFR_ddh1 = ",dFR_ddh1 print print " dFR_ddr0 = ",dFR_ddr0 print print " dFR_ddr1 = ",dFR_ddr1 '''

23.5

90

0.545755

ddc835c6da3483b1e93f1fbf9227a4fb76b33ab3

756

py

Python

manage.py

sheillanjoroge/Blogs-Que

0887f3d87897898c8140fe30b1b0dca7d7340ee1

[ "Unlicense" ]

1

2020-12-14T09:18:57.000Z

manage.py

sheillanjoroge/Blogs-Que

0887f3d87897898c8140fe30b1b0dca7d7340ee1

[ "Unlicense" ]

null

manage.py

sheillanjoroge/Blogs-Que

0887f3d87897898c8140fe30b1b0dca7d7340ee1

[ "Unlicense" ]

null

from app import create_app,db from flask_script import Manager,Server from app.models import User,Post from flask_migrate import Migrate, MigrateCommand # Creating app instance app = create_app('production') # app = create_app('production') manager = Manager(app) manager.add_command('server',Server) migrate = Migrate(app,db) manager.add_command('db',MigrateCommand) @manager.command def test(): """Run the unit tests.""" import unittest tests = unittest.TestLoader().discover('tests') unittest.TextTestRunner(verbosity=2).run(tests) # if __name__ == '__main__': # manager.run() @manager.shell def make_shell_context(): return dict(app = app,db = db,User = User, Post = Post ) if __name__ == '__main__': manager.run()

22.909091

60

0.723545

d80cb7a47cf34e3b4f1dfcdca3427661e174e9ca

28,732

py

Python

python-package/lightgbm/engine.py

AIshb/LightGBM

486f6de4847667c8b8622009f93ddeab02c24466

[ "MIT" ]

null

python-package/lightgbm/engine.py

AIshb/LightGBM

486f6de4847667c8b8622009f93ddeab02c24466

[ "MIT" ]

null

python-package/lightgbm/engine.py

AIshb/LightGBM

486f6de4847667c8b8622009f93ddeab02c24466

[ "MIT" ]

1

2020-07-23T15:27:08.000Z

# coding: utf-8 """Library with training routines of LightGBM.""" from __future__ import absolute_import import collections import copy import warnings from operator import attrgetter import numpy as np from . import callback from .basic import Booster, Dataset, LightGBMError, _ConfigAliases, _InnerPredictor from .compat import (SKLEARN_INSTALLED, _LGBMGroupKFold, _LGBMStratifiedKFold, string_type, integer_types, range_, zip_) def train(params, train_set, num_boost_round=100, valid_sets=None, valid_names=None, fobj=None, feval=None, init_model=None, feature_name='auto', categorical_feature='auto', early_stopping_rounds=None, evals_result=None, verbose_eval=True, learning_rates=None, keep_training_booster=False, callbacks=None): """Perform the training with given parameters. Parameters ---------- params : dict Parameters for training. train_set : Dataset Data to be trained on. num_boost_round : int, optional (default=100) Number of boosting iterations. valid_sets : list of Datasets or None, optional (default=None) List of data to be evaluated on during training. valid_names : list of strings or None, optional (default=None) Names of ``valid_sets``. fobj : callable or None, optional (default=None) Customized objective function. Should accept two parameters: preds, train_data, and return (grad, hess). preds : list or numpy 1-D array The predicted values. train_data : Dataset The training dataset. grad : list or numpy 1-D array The value of the first order derivative (gradient) for each sample point. hess : list or numpy 1-D array The value of the second order derivative (Hessian) for each sample point. For binary task, the preds is margin. For multi-class task, the preds is group by class_id first, then group by row_id. If you want to get i-th row preds in j-th class, the access way is score[j * num_data + i] and you should group grad and hess in this way as well. feval : callable or None, optional (default=None) Customized evaluation function. Should accept two parameters: preds, train_data, and return (eval_name, eval_result, is_higher_better) or list of such tuples. preds : list or numpy 1-D array The predicted values. train_data : Dataset The training dataset. eval_name : string The name of evaluation function (without whitespaces). eval_result : float The eval result. is_higher_better : bool Is eval result higher better, e.g. AUC is ``is_higher_better``. For binary task, the preds is probability of positive class (or margin in case of specified ``fobj``). For multi-class task, the preds is group by class_id first, then group by row_id. If you want to get i-th row preds in j-th class, the access way is preds[j * num_data + i]. To ignore the default metric corresponding to the used objective, set the ``metric`` parameter to the string ``"None"`` in ``params``. init_model : string, Booster or None, optional (default=None) Filename of LightGBM model or Booster instance used for continue training. feature_name : list of strings or 'auto', optional (default="auto") Feature names. If 'auto' and data is pandas DataFrame, data columns names are used. categorical_feature : list of strings or int, or 'auto', optional (default="auto") Categorical features. If list of int, interpreted as indices. If list of strings, interpreted as feature names (need to specify ``feature_name`` as well). If 'auto' and data is pandas DataFrame, pandas unordered categorical columns are used. All values in categorical features should be less than int32 max value (2147483647). Large values could be memory consuming. Consider using consecutive integers starting from zero. All negative values in categorical features will be treated as missing values. The output cannot be monotonically constrained with respect to a categorical feature. early_stopping_rounds : int or None, optional (default=None) Activates early stopping. The model will train until the validation score stops improving. Validation score needs to improve at least every ``early_stopping_rounds`` round(s) to continue training. Requires at least one validation data and one metric. If there's more than one, will check all of them. But the training data is ignored anyway. To check only the first metric, set the ``first_metric_only`` parameter to ``True`` in ``params``. The index of iteration that has the best performance will be saved in the ``best_iteration`` field if early stopping logic is enabled by setting ``early_stopping_rounds``. evals_result: dict or None, optional (default=None) This dictionary used to store all evaluation results of all the items in ``valid_sets``. .. rubric:: Example With a ``valid_sets`` = [valid_set, train_set], ``valid_names`` = ['eval', 'train'] and a ``params`` = {'metric': 'logloss'} returns {'train': {'logloss': ['0.48253', '0.35953', ...]}, 'eval': {'logloss': ['0.480385', '0.357756', ...]}}. verbose_eval : bool or int, optional (default=True) Requires at least one validation data. If True, the eval metric on the valid set is printed at each boosting stage. If int, the eval metric on the valid set is printed at every ``verbose_eval`` boosting stage. The last boosting stage or the boosting stage found by using ``early_stopping_rounds`` is also printed. .. rubric:: Example With ``verbose_eval`` = 4 and at least one item in ``valid_sets``, an evaluation metric is printed every 4 (instead of 1) boosting stages. learning_rates : list, callable or None, optional (default=None) List of learning rates for each boosting round or a customized function that calculates ``learning_rate`` in terms of current number of round (e.g. yields learning rate decay). keep_training_booster : bool, optional (default=False) Whether the returned Booster will be used to keep training. If False, the returned value will be converted into _InnerPredictor before returning. You can still use _InnerPredictor as ``init_model`` for future continue training. callbacks : list of callables or None, optional (default=None) List of callback functions that are applied at each iteration. See Callbacks in Python API for more information. Returns ------- booster : Booster The trained Booster model. """ # create predictor first params = copy.deepcopy(params) if fobj is not None: for obj_alias in _ConfigAliases.get("objective"): params.pop(obj_alias, None) params['objective'] = 'none' for alias in _ConfigAliases.get("num_iterations"): if alias in params: num_boost_round = params.pop(alias) warnings.warn("Found `{}` in params. Will use it instead of argument".format(alias)) params["num_iterations"] = num_boost_round for alias in _ConfigAliases.get("early_stopping_round"): if alias in params: early_stopping_rounds = params.pop(alias) warnings.warn("Found `{}` in params. Will use it instead of argument".format(alias)) params["early_stopping_round"] = early_stopping_rounds first_metric_only = params.get('first_metric_only', False) if num_boost_round <= 0: raise ValueError("num_boost_round should be greater than zero.") if isinstance(init_model, string_type): predictor = _InnerPredictor(model_file=init_model, pred_parameter=params) elif isinstance(init_model, Booster): predictor = init_model._to_predictor(dict(init_model.params, **params)) else: predictor = None init_iteration = predictor.num_total_iteration if predictor is not None else 0 # check dataset if not isinstance(train_set, Dataset): raise TypeError("Training only accepts Dataset object") train_set._update_params(params) \ ._set_predictor(predictor) \ .set_feature_name(feature_name) \ .set_categorical_feature(categorical_feature) is_valid_contain_train = False train_data_name = "training" reduced_valid_sets = [] name_valid_sets = [] if valid_sets is not None: if isinstance(valid_sets, Dataset): valid_sets = [valid_sets] if isinstance(valid_names, string_type): valid_names = [valid_names] for i, valid_data in enumerate(valid_sets): # reduce cost for prediction training data if valid_data is train_set: is_valid_contain_train = True if valid_names is not None: train_data_name = valid_names[i] continue if not isinstance(valid_data, Dataset): raise TypeError("Training only accepts Dataset object") reduced_valid_sets.append(valid_data._update_params(params).set_reference(train_set)) if valid_names is not None and len(valid_names) > i: name_valid_sets.append(valid_names[i]) else: name_valid_sets.append('valid_' + str(i)) # process callbacks if callbacks is None: callbacks = set() else: for i, cb in enumerate(callbacks): cb.__dict__.setdefault('order', i - len(callbacks)) callbacks = set(callbacks) # Most of legacy advanced options becomes callbacks if verbose_eval is True: callbacks.add(callback.print_evaluation()) elif isinstance(verbose_eval, integer_types): callbacks.add(callback.print_evaluation(verbose_eval)) if early_stopping_rounds is not None and early_stopping_rounds > 0: callbacks.add(callback.early_stopping(early_stopping_rounds, first_metric_only, verbose=bool(verbose_eval))) if learning_rates is not None: callbacks.add(callback.reset_parameter(learning_rate=learning_rates)) if evals_result is not None: callbacks.add(callback.record_evaluation(evals_result)) callbacks_before_iter = {cb for cb in callbacks if getattr(cb, 'before_iteration', False)} callbacks_after_iter = callbacks - callbacks_before_iter callbacks_before_iter = sorted(callbacks_before_iter, key=attrgetter('order')) callbacks_after_iter = sorted(callbacks_after_iter, key=attrgetter('order')) # construct booster try: booster = Booster(params=params, train_set=train_set) if is_valid_contain_train: booster.set_train_data_name(train_data_name) for valid_set, name_valid_set in zip_(reduced_valid_sets, name_valid_sets): booster.add_valid(valid_set, name_valid_set) finally: train_set._reverse_update_params() for valid_set in reduced_valid_sets: valid_set._reverse_update_params() booster.best_iteration = 0 # start training for i in range_(init_iteration, init_iteration + num_boost_round): for cb in callbacks_before_iter: cb(callback.CallbackEnv(model=booster, params=params, iteration=i, begin_iteration=init_iteration, end_iteration=init_iteration + num_boost_round, evaluation_result_list=None)) booster.update(fobj=fobj) evaluation_result_list = [] # check evaluation result. if valid_sets is not None: if is_valid_contain_train: evaluation_result_list.extend(booster.eval_train(feval)) evaluation_result_list.extend(booster.eval_valid(feval)) try: for cb in callbacks_after_iter: cb(callback.CallbackEnv(model=booster, params=params, iteration=i, begin_iteration=init_iteration, end_iteration=init_iteration + num_boost_round, evaluation_result_list=evaluation_result_list)) except callback.EarlyStopException as earlyStopException: booster.best_iteration = earlyStopException.best_iteration + 1 evaluation_result_list = earlyStopException.best_score break booster.best_score = collections.defaultdict(collections.OrderedDict) for dataset_name, eval_name, score, _ in evaluation_result_list: booster.best_score[dataset_name][eval_name] = score if not keep_training_booster: booster.model_from_string(booster.model_to_string(), False).free_dataset() return booster class _CVBooster(object): """Auxiliary data struct to hold all boosters of CV.""" def __init__(self): self.boosters = [] self.best_iteration = -1 def append(self, booster): """Add a booster to _CVBooster.""" self.boosters.append(booster) def __getattr__(self, name): """Redirect methods call of _CVBooster.""" def handler_function(*args, **kwargs): """Call methods with each booster, and concatenate their results.""" ret = [] for booster in self.boosters: ret.append(getattr(booster, name)(*args, **kwargs)) return ret return handler_function def _make_n_folds(full_data, folds, nfold, params, seed, fpreproc=None, stratified=True, shuffle=True, eval_train_metric=False): """Make a n-fold list of Booster from random indices.""" full_data = full_data.construct() num_data = full_data.num_data() if folds is not None: if not hasattr(folds, '__iter__') and not hasattr(folds, 'split'): raise AttributeError("folds should be a generator or iterator of (train_idx, test_idx) tuples " "or scikit-learn splitter object with split method") if hasattr(folds, 'split'): group_info = full_data.get_group() if group_info is not None: group_info = np.array(group_info, dtype=np.int32, copy=False) flatted_group = np.repeat(range_(len(group_info)), repeats=group_info) else: flatted_group = np.zeros(num_data, dtype=np.int32) folds = folds.split(X=np.zeros(num_data), y=full_data.get_label(), groups=flatted_group) else: if any(params.get(obj_alias, "") in {"lambdarank", "rank_xendcg", "xendcg", "xe_ndcg", "xe_ndcg_mart", "xendcg_mart"} for obj_alias in _ConfigAliases.get("objective")): if not SKLEARN_INSTALLED: raise LightGBMError('Scikit-learn is required for ranking cv.') # ranking task, split according to groups group_info = np.array(full_data.get_group(), dtype=np.int32, copy=False) flatted_group = np.repeat(range_(len(group_info)), repeats=group_info) group_kfold = _LGBMGroupKFold(n_splits=nfold) folds = group_kfold.split(X=np.zeros(num_data), groups=flatted_group) elif stratified: if not SKLEARN_INSTALLED: raise LightGBMError('Scikit-learn is required for stratified cv.') skf = _LGBMStratifiedKFold(n_splits=nfold, shuffle=shuffle, random_state=seed) folds = skf.split(X=np.zeros(num_data), y=full_data.get_label()) else: if shuffle: randidx = np.random.RandomState(seed).permutation(num_data) else: randidx = np.arange(num_data) kstep = int(num_data / nfold) test_id = [randidx[i: i + kstep] for i in range_(0, num_data, kstep)] train_id = [np.concatenate([test_id[i] for i in range_(nfold) if k != i]) for k in range_(nfold)] folds = zip_(train_id, test_id) ret = _CVBooster() for train_idx, test_idx in folds: train_set = full_data.subset(sorted(train_idx)) valid_set = full_data.subset(sorted(test_idx)) # run preprocessing on the data set if needed if fpreproc is not None: train_set, valid_set, tparam = fpreproc(train_set, valid_set, params.copy()) else: tparam = params cvbooster = Booster(tparam, train_set) if eval_train_metric: cvbooster.add_valid(train_set, 'train') cvbooster.add_valid(valid_set, 'valid') ret.append(cvbooster) return ret def _agg_cv_result(raw_results, eval_train_metric=False): """Aggregate cross-validation results.""" cvmap = collections.OrderedDict() metric_type = {} for one_result in raw_results: for one_line in one_result: if eval_train_metric: key = "{} {}".format(one_line[0], one_line[1]) else: key = one_line[1] metric_type[key] = one_line[3] cvmap.setdefault(key, []) cvmap[key].append(one_line[2]) return [('cv_agg', k, np.mean(v), metric_type[k], np.std(v)) for k, v in cvmap.items()] def cv(params, train_set, num_boost_round=100, folds=None, nfold=5, stratified=True, shuffle=True, metrics=None, fobj=None, feval=None, init_model=None, feature_name='auto', categorical_feature='auto', early_stopping_rounds=None, fpreproc=None, verbose_eval=None, show_stdv=True, seed=0, callbacks=None, eval_train_metric=False): """Perform the cross-validation with given paramaters. Parameters ---------- params : dict Parameters for Booster. train_set : Dataset Data to be trained on. num_boost_round : int, optional (default=100) Number of boosting iterations. folds : generator or iterator of (train_idx, test_idx) tuples, scikit-learn splitter object or None, optional (default=None) If generator or iterator, it should yield the train and test indices for each fold. If object, it should be one of the scikit-learn splitter classes (https://scikit-learn.org/stable/modules/classes.html#splitter-classes) and have ``split`` method. This argument has highest priority over other data split arguments. nfold : int, optional (default=5) Number of folds in CV. stratified : bool, optional (default=True) Whether to perform stratified sampling. shuffle : bool, optional (default=True) Whether to shuffle before splitting data. metrics : string, list of strings or None, optional (default=None) Evaluation metrics to be monitored while CV. If not None, the metric in ``params`` will be overridden. fobj : callable or None, optional (default=None) Customized objective function. Should accept two parameters: preds, train_data, and return (grad, hess). preds : list or numpy 1-D array The predicted values. train_data : Dataset The training dataset. grad : list or numpy 1-D array The value of the first order derivative (gradient) for each sample point. hess : list or numpy 1-D array The value of the second order derivative (Hessian) for each sample point. For binary task, the preds is margin. For multi-class task, the preds is group by class_id first, then group by row_id. If you want to get i-th row preds in j-th class, the access way is score[j * num_data + i] and you should group grad and hess in this way as well. feval : callable or None, optional (default=None) Customized evaluation function. Should accept two parameters: preds, train_data, and return (eval_name, eval_result, is_higher_better) or list of such tuples. preds : list or numpy 1-D array The predicted values. train_data : Dataset The training dataset. eval_name : string The name of evaluation function (without whitespaces). eval_result : float The eval result. is_higher_better : bool Is eval result higher better, e.g. AUC is ``is_higher_better``. For binary task, the preds is probability of positive class (or margin in case of specified ``fobj``). For multi-class task, the preds is group by class_id first, then group by row_id. If you want to get i-th row preds in j-th class, the access way is preds[j * num_data + i]. To ignore the default metric corresponding to the used objective, set ``metrics`` to the string ``"None"``. init_model : string, Booster or None, optional (default=None) Filename of LightGBM model or Booster instance used for continue training. feature_name : list of strings or 'auto', optional (default="auto") Feature names. If 'auto' and data is pandas DataFrame, data columns names are used. categorical_feature : list of strings or int, or 'auto', optional (default="auto") Categorical features. If list of int, interpreted as indices. If list of strings, interpreted as feature names (need to specify ``feature_name`` as well). If 'auto' and data is pandas DataFrame, pandas unordered categorical columns are used. All values in categorical features should be less than int32 max value (2147483647). Large values could be memory consuming. Consider using consecutive integers starting from zero. All negative values in categorical features will be treated as missing values. The output cannot be monotonically constrained with respect to a categorical feature. early_stopping_rounds : int or None, optional (default=None) Activates early stopping. CV score needs to improve at least every ``early_stopping_rounds`` round(s) to continue. Requires at least one metric. If there's more than one, will check all of them. To check only the first metric, set the ``first_metric_only`` parameter to ``True`` in ``params``. Last entry in evaluation history is the one from the best iteration. fpreproc : callable or None, optional (default=None) Preprocessing function that takes (dtrain, dtest, params) and returns transformed versions of those. verbose_eval : bool, int, or None, optional (default=None) Whether to display the progress. If None, progress will be displayed when np.ndarray is returned. If True, progress will be displayed at every boosting stage. If int, progress will be displayed at every given ``verbose_eval`` boosting stage. show_stdv : bool, optional (default=True) Whether to display the standard deviation in progress. Results are not affected by this parameter, and always contain std. seed : int, optional (default=0) Seed used to generate the folds (passed to numpy.random.seed). callbacks : list of callables or None, optional (default=None) List of callback functions that are applied at each iteration. See Callbacks in Python API for more information. eval_train_metric : bool, optional (default=False) Whether to display the train metric in progress. The score of the metric is calculated again after each training step, so there is some impact on performance. Returns ------- eval_hist : dict Evaluation history. The dictionary has the following format: {'metric1-mean': [values], 'metric1-stdv': [values], 'metric2-mean': [values], 'metric2-stdv': [values], ...}. """ if not isinstance(train_set, Dataset): raise TypeError("Training only accepts Dataset object") params = copy.deepcopy(params) if fobj is not None: for obj_alias in _ConfigAliases.get("objective"): params.pop(obj_alias, None) params['objective'] = 'none' for alias in _ConfigAliases.get("num_iterations"): if alias in params: warnings.warn("Found `{}` in params. Will use it instead of argument".format(alias)) num_boost_round = params.pop(alias) params["num_iterations"] = num_boost_round for alias in _ConfigAliases.get("early_stopping_round"): if alias in params: warnings.warn("Found `{}` in params. Will use it instead of argument".format(alias)) early_stopping_rounds = params.pop(alias) params["early_stopping_round"] = early_stopping_rounds first_metric_only = params.get('first_metric_only', False) if num_boost_round <= 0: raise ValueError("num_boost_round should be greater than zero.") if isinstance(init_model, string_type): predictor = _InnerPredictor(model_file=init_model, pred_parameter=params) elif isinstance(init_model, Booster): predictor = init_model._to_predictor(dict(init_model.params, **params)) else: predictor = None if metrics is not None: for metric_alias in _ConfigAliases.get("metric"): params.pop(metric_alias, None) params['metric'] = metrics train_set._update_params(params) \ ._set_predictor(predictor) \ .set_feature_name(feature_name) \ .set_categorical_feature(categorical_feature) results = collections.defaultdict(list) cvfolds = _make_n_folds(train_set, folds=folds, nfold=nfold, params=params, seed=seed, fpreproc=fpreproc, stratified=stratified, shuffle=shuffle, eval_train_metric=eval_train_metric) # setup callbacks if callbacks is None: callbacks = set() else: for i, cb in enumerate(callbacks): cb.__dict__.setdefault('order', i - len(callbacks)) callbacks = set(callbacks) if early_stopping_rounds is not None and early_stopping_rounds > 0: callbacks.add(callback.early_stopping(early_stopping_rounds, first_metric_only, verbose=False)) if verbose_eval is True: callbacks.add(callback.print_evaluation(show_stdv=show_stdv)) elif isinstance(verbose_eval, integer_types): callbacks.add(callback.print_evaluation(verbose_eval, show_stdv=show_stdv)) callbacks_before_iter = {cb for cb in callbacks if getattr(cb, 'before_iteration', False)} callbacks_after_iter = callbacks - callbacks_before_iter callbacks_before_iter = sorted(callbacks_before_iter, key=attrgetter('order')) callbacks_after_iter = sorted(callbacks_after_iter, key=attrgetter('order')) for i in range_(num_boost_round): for cb in callbacks_before_iter: cb(callback.CallbackEnv(model=cvfolds, params=params, iteration=i, begin_iteration=0, end_iteration=num_boost_round, evaluation_result_list=None)) cvfolds.update(fobj=fobj) res = _agg_cv_result(cvfolds.eval_valid(feval), eval_train_metric) for _, key, mean, _, std in res: results[key + '-mean'].append(mean) results[key + '-stdv'].append(std) try: for cb in callbacks_after_iter: cb(callback.CallbackEnv(model=cvfolds, params=params, iteration=i, begin_iteration=0, end_iteration=num_boost_round, evaluation_result_list=res)) except callback.EarlyStopException as earlyStopException: cvfolds.best_iteration = earlyStopException.best_iteration + 1 for k in results: results[k] = results[k][:cvfolds.best_iteration] break return dict(results)

48.698305

128

0.650738

54085bdc3d96ab30a7bd22998d80f2c64bb93967

2,343

py

Python

rel1-beta/bluecat_app/bin/dnsalert.py

mheidir/BlueCatSG-SplunkApp-UnOfficial

bd914b8650d191e48c18acda5bdd70aeabb99207

[ "Apache-2.0" ]

1

2018-06-26T14:57:54.000Z

rel1-beta/bluecat_app/bin/dnsalert.py

mheidir/BlueCatSG-SplunkApp-UnOfficial

bd914b8650d191e48c18acda5bdd70aeabb99207

[ "Apache-2.0" ]

null

rel1-beta/bluecat_app/bin/dnsalert.py

mheidir/BlueCatSG-SplunkApp-UnOfficial

bd914b8650d191e48c18acda5bdd70aeabb99207

[ "Apache-2.0" ]

null

#!/usr/bin/env python import sys, os, datetime sys.path.append("/opt/splunk/etc/apps/framework/contrib/splunk-sdk-python/") from time import sleep import splunklib.client as client import splunklib.results as results from bluecat import api from bluecat import api_exception from bluecat import entity from bluecat.wrappers import generic_getters import json import base64 def block_tunnel(malware): # Talk to BlueCat Address Manager api_url = 'http://10.0.1.251/Services/API?wsdl' bam = api(api_url) bam.login('apiuser', 'bluecat') #conf = bam.get_configuration('ACME Corp') tg = bam._soap_client.service.getEntityByName(0, "dnstunnel-malware", "TagGroup") if tg.id==0: tg = bam._soap_client.service.addTagGroup('dnstunnel-malware', "") try: bam._soap_client.service.addTag(tg.id, "**." + malware, "") e = bam._soap_client.service.getEntities(tg.id, "Tag", 0, 1000) blacklistItems = '' for entity in e.item: blacklistItems += '\n' + entity.name bam._soap_client.service.uploadResponsePolicyItems(1651093, base64.b64encode(blacklistItems)) bam._soap_client.service.deployServerConfig(140183, "services=DNS|forceDNSFullDeployment=true") return 0 except: return 1 def log(msg): f = open(os.path.join(os.environ["SPLUNK_HOME"], "var", "log", "splunk", "bluecat_dns_alert.log"), "a") print >> f, str(datetime.datetime.now().isoformat())+ ',' +msg f.close() HOST = "localhost" PORT = 8089 USERNAME = "admin" PASSWORD = "changeme" exec_mode = {"earliest_time" : "-30s", "latest_time" : "now", "count" : 0} entropy_search = "search named rate limit | eval length=len(rateName) | search length > 40 | stats count by rateDomain, rateClientIP | search count > 8" # Create a Service instance and log in service = client.connect( host=HOST, port=PORT, username=USERNAME, password=PASSWORD) search_results = service.jobs.oneshot (entropy_search, **exec_mode); for item in results.ResultsReader(search_results): logstr = item['rateDomain'] + ',' + item['rateClientIP'] + ',' + item['count'] tempstr = logstr + ',DETECTED' log (tempstr) if block_tunnel(item['rateDomain']) == 1: logstr += ",BLOCKED" log (logstr)

34.455882

152

0.66752

70419232c1e6951b01e4100134862ee0dd3a0e93

4,307

py

Python

apps/glossy-test/test_tools/analysis/build_setting.py

dlobba/lwb-cc2538

4a41de11ab43eb75574e521e70b22bb38714bc57

[ "BSD-3-Clause" ]

1

2020-04-12T12:04:11.000Z

apps/glossy-test/test_tools/analysis/build_setting.py

dlobba/lwb-cc2538

4a41de11ab43eb75574e521e70b22bb38714bc57

[ "BSD-3-Clause" ]

null

apps/glossy-test/test_tools/analysis/build_setting.py

dlobba/lwb-cc2538

4a41de11ab43eb75574e521e70b22bb38714bc57

[ "BSD-3-Clause" ]

null

#!/usr/bin/python3 import re from collections import OrderedDict # ----------------------------------------------------------------------------- # SETTINGS # ----------------------------------------------------------------------------- SIM_SETTINGS = "settings.csv" # fields SIM_NTX = "ntx" SIM_INITIATOR = "initiator" SIM_TXPOWER = "txpower" SIM_FRAMESIZE = "frame_size" SIM_SLOT_DURATION_MS = "slot_ms" SIM_PERIOD_DURATION_MS = "period_ms" SIM_GUARD_TIME_MS = "guard_ms" SIM_CHANNEL = "channel" # temporary field SIM_PAYLOAD_LEN = "payload_len" # HEADERS SETTINGS_HEADER = [SIM_CHANNEL, SIM_TXPOWER, SIM_NTX, SIM_FRAMESIZE, SIM_INITIATOR] SETTINGS_ABBREV = ["ch", "txpower", "ntx", "frame", "init"] SETTINGS_FULL = [ SIM_PERIOD_DURATION_MS, SIM_SLOT_DURATION_MS, SIM_GUARD_TIME_MS,\ SIM_CHANNEL, SIM_TXPOWER,\ SIM_FRAMESIZE, SIM_NTX, SIM_INITIATOR] FILTER_RULES = { "(?i)cc2538_rf_channel:\s+(\d+)": SIM_CHANNEL,\ "(?i)cc2538_rf_tx_power:\s+(-?\d+)": SIM_TXPOWER,\ "(?i)initiator_id:\s+(\d+)": SIM_INITIATOR,\ "(?i)payload_data_len:\s+(\d+)": SIM_PAYLOAD_LEN,\ "(?i)glossy_n_tx:\s+(\d+)": SIM_NTX,\ "(?i)glossy_period:\s+(.*)": SIM_PERIOD_DURATION_MS,\ "(?i)glossy_slot:\s+(.*)": SIM_SLOT_DURATION_MS,\ "(?i)glossy_guard:\s+(.*)": SIM_GUARD_TIME_MS\ } def match_filter(log, rules): """ Return None if there is no rule in rules matching the log. Return the log if it matches a rule or None. """ for rule in rules: match = re.match(rule, log) if match: return rules[rule], match return None, None def get_pkt_size(payload): # header (4B) + seqno (4B) + payload + crc(2B) return 4 + 4 + payload + 2 def parse_build_setting_lines(lines): RTIMER_SYMBOLIC = r"rtimer_second" RTIMER_SECOND = 32768 PRECISION = 1000 # ms # assume millisecond granularity # if this is not sufficient (IT SHOULD BE!) throw an error an inform # the user that this code should be changed to the new precision # by changing the value of RTIMER_VALUE settings = {} for line in lines: rule, match = match_filter(line, FILTER_RULES) if rule == SIM_CHANNEL: settings[SIM_CHANNEL] = int(match.group(1)) elif rule == SIM_TXPOWER: settings[SIM_TXPOWER] = int(match.group(1)) elif rule == SIM_INITIATOR: settings[SIM_INITIATOR] = int(match.group(1)) elif rule == SIM_PAYLOAD_LEN: settings[SIM_FRAMESIZE] = get_pkt_size(int(match.group(1))) elif rule == SIM_NTX: settings[SIM_NTX] = int(match.group(1)) elif rule == SIM_PERIOD_DURATION_MS: duration = match.group(1) duration = int(eval(duration) / RTIMER_SECOND * PRECISION) settings[SIM_PERIOD_DURATION_MS] = duration elif rule == SIM_SLOT_DURATION_MS: duration = match.group(1) duration = int(eval(duration) / RTIMER_SECOND * PRECISION) settings[SIM_SLOT_DURATION_MS] = duration elif rule == SIM_GUARD_TIME_MS: duration = match.group(1) duration = int(eval(duration) / RTIMER_SECOND * PRECISION) settings[SIM_GUARD_TIME_MS] = duration return settings def parse_build_setting(filesettings): with open(filesettings, "r") as fh: return parse_build_setting_lines(fh) def get_settings_row(settings): values = [settings[h] for h in SETTINGS_HEADER] return values def get_radio_channel(settings): return settings[SIM_CHANNEL] def get_sim_name(settings): values = [str(settings[v]).lower() for v in SETTINGS_HEADER] values = list(map(lambda x: re.sub("-", "m", x), values)) values = ["%s%s" % (k, v) for k,v in zip(SETTINGS_HEADER, values)] return str.join("_", values) def get_sim_name_abbrev(settings): values = [str(settings[v]).lower() for v in SETTINGS_HEADER] values = list(map(lambda x: re.sub("-", "m", x), values)) values = ["%s%s" % (k, str(v)) for k,v in zip(SETTINGS_ABBREV, values)] return str.join("_", values) def get_settings_summary(settings): summary=OrderedDict([(k, settings[k]) for k in SETTINGS_FULL]) return summary if __name__ == "__main__": pass

32.141791

83

0.625493

133181f908afe6e5d507a28152f19fdd1b7cba2c

9,542

py

Python

ambassador/ambassador/config/resourcefetcher.py

lolletsoc/ambassador

7afb14b997290f10d5c3627a85432ab31ccffd0c

[ "Apache-2.0" ]

null

ambassador/ambassador/config/resourcefetcher.py

lolletsoc/ambassador

7afb14b997290f10d5c3627a85432ab31ccffd0c

[ "Apache-2.0" ]

null

ambassador/ambassador/config/resourcefetcher.py

lolletsoc/ambassador

7afb14b997290f10d5c3627a85432ab31ccffd0c

[ "Apache-2.0" ]

null

from typing import List, Optional, Tuple, TYPE_CHECKING # from typing import cast as typecast import json import logging import os import yaml # from collections import namedtuple from .acresource import ACResource # from ..utils import RichStatus if TYPE_CHECKING: from .config import Config # StringOrList is either a string or a list of strings. # StringOrList = Union[str, List[str]] # class YAMLElement (dict): # def __init__(self, obj: dict, serialization: str, rkey: Optional[str]=None, # filename: Optional[str]=None, filepath: Optional[str]=None, ocount=1): # # if filename and not rkey: # rkey = filename # # super().__init__(obj=obj, serialization=serialization, rkey=rkey, # filename=filename, filepath=filepath, ocount=ocount) # Some thoughts: # - loading a bunch of Ambassador resources is different from loading a bunch of K8s # services, because we should assume that if we're being a fed a bunch of Ambassador # resources, we'll get a full set. The whole 'secret loader' thing needs to have the # concept of a TLSSecret resource that can be force-fed to us, or that can be fetched # through the loader if needed. # - If you're running a debug-loop Ambassador, you should just have a flat (or # recursive, I don't care) directory full of Ambassador YAML, including TLSSecrets # and Endpoints and whatnot, as needed. All of it will get read by # load_from_filesystem and end up in the elements array. # - If you're running expecting to be fed by kubewatch, at present kubewatch will # send over K8s Service records, and anything annotated in there will end up in # elements. This may include TLSSecrets or Endpoints. Any TLSSecret mentioned that # isn't already in elements will need to be fetched. # - Ambassador resources do not have namespaces. They have the ambassador_id. That's # it. The ambassador_id is completely orthogonal to the namespace. No element with # the wrong ambassador_id will end up in elements. It would be nice if they were # never sent by kubewatch, but, well, y'know. # - TLSSecret resources are not TLSContexts. TLSSecrets only have a name, a private # half, and a public half. They do _not_ have other TLSContext information. # - Endpoint resources probably have just a name, a service name, and an endpoint # address. class ResourceFetcher: def __init__(self, logger: logging.Logger, aconf: 'Config') -> None: self.aconf = aconf self.logger = logger self.elements: List[ACResource] = [] self.filename: Optional[str] = None self.ocount: int = 1 self.saved: List[Tuple[Optional[str], int]] = [] @property def location(self): return "%s.%d" % (self.filename or "anonymous YAML", self.ocount) def push_location(self, filename: Optional[str], ocount: int) -> None: self.saved.append((self.filename, self.ocount)) self.filename = filename self.ocount = ocount def pop_location(self) -> None: self.filename, self.ocount = self.saved.pop() def load_from_filesystem(self, config_dir_path, recurse: bool=False, k8s: bool=False): inputs: List[Tuple[str, str]] = [] if os.path.isdir(config_dir_path): dirs = [ config_dir_path ] while dirs: dirpath = dirs.pop(0) for filename in os.listdir(dirpath): filepath = os.path.join(dirpath, filename) if recurse and os.path.isdir(filepath): # self.logger.debug("%s: RECURSE" % filepath) dirs.append(filepath) continue if not os.path.isfile(filepath): # self.logger.debug("%s: SKIP non-file" % filepath) continue if not filename.lower().endswith('.yaml'): # self.logger.debug("%s: SKIP non-YAML" % filepath) continue # self.logger.debug("%s: SAVE configuration file" % filepath) inputs.append((filepath, filename)) else: # this allows a file to be passed into the ambassador cli # rather than just a directory inputs.append((config_dir_path, os.path.basename(config_dir_path))) for filepath, filename in inputs: self.logger.info("reading %s (%s)" % (filename, filepath)) try: serialization = open(filepath, "r").read() self.parse_yaml(serialization, k8s=k8s, filename=filename) except IOError as e: self.aconf.post_error("could not read YAML from %s: %s" % (filepath, e)) def parse_yaml(self, serialization: str, k8s=False, rkey: Optional[str]=None, filename: Optional[str]=None) -> None: # self.logger.debug("%s: parsing %d byte%s of YAML:\n%s" % # (self.location, len(serialization), "" if (len(serialization) == 1) else "s", # serialization)) try: objects = list(yaml.safe_load_all(serialization)) self.push_location(filename, 1) for obj in objects: if k8s: self.extract_k8s(obj) else: # if not obj: # self.logger.debug("%s: empty object from %s" % (self.location, serialization)) self.process_object(obj, rkey=rkey) self.ocount += 1 self.pop_location() except yaml.error.YAMLError as e: self.aconf.post_error("%s: could not parse YAML: %s" % (self.location, e)) def extract_k8s(self, obj: dict) -> None: self.logger.debug("extract_k8s obj %s" % json.dumps(obj, indent=4, sort_keys=True)) kind = obj.get('kind', None) if kind != "Service": self.logger.debug("%s: ignoring K8s %s object" % (self.location, kind)) return metadata = obj.get('metadata', None) if not metadata: self.logger.debug("%s: ignoring unannotated K8s %s" % (self.location, kind)) return # Use metadata to build a unique resource identifier resource_name = metadata.get('name') # This should never happen as the name field is required in metadata for Service if not resource_name: self.logger.debug("%s: ignoring unnamed K8s %s" % (self.location, kind)) return resource_namespace = metadata.get('namespace', 'default') # This resource identifier is useful for log output since filenames can be duplicated (multiple subdirectories) resource_identifier = '{name}.{namespace}'.format(namespace=resource_namespace, name=resource_name) annotations = metadata.get('annotations', None) if annotations: annotations = annotations.get('getambassador.io/config', None) # self.logger.debug("annotations %s" % annotations) if not annotations: # self.logger.debug("%s: ignoring K8s %s without Ambassador annotation" % (self.location, kind)) return if self.filename and (not self.filename.endswith(":annotation")): self.filename += ":annotation" self.parse_yaml(annotations, filename=self.filename, rkey=resource_identifier) def process_object(self, obj: dict, rkey: Optional[str]=None) -> None: if not isinstance(obj, dict): # Bug!! if not obj: self.aconf.post_error("%s is empty" % self.location) else: self.aconf.post_error("%s is not a dictionary? %s" % (self.location, json.dumps(obj, indent=4, sort_keys=4))) return if not self.aconf.good_ambassador_id(obj): self.logger.debug("%s SKIP for ambassador_id mismatch" % self.location) return if 'kind' not in obj: # Bug!! self.aconf.post_error("%s is missing 'kind'?? %s" % (self.location, json.dumps(obj, indent=4, sort_keys=True))) return self.logger.debug("%s PROCESS %s initial rkey %s" % (self.location, obj['kind'], rkey)) # Is this a pragma object? if obj['kind'] == 'Pragma': # Why did I think this was a good idea? [ :) ] new_source = obj.get('source', None) if new_source: # We don't save the old self.filename here, so this change will last until # the next input source (or the next Pragma). self.filename = new_source # Don't count Pragma objects, since the user generally doesn't write them. self.ocount -= 1 return if not rkey: rkey = self.filename rkey = "%s.%d" % (rkey, self.ocount) self.logger.debug("%s PROCESS %s updated rkey to %s" % (self.location, obj['kind'], rkey)) # Fine. Fine fine fine. serialization = yaml.safe_dump(obj, default_flow_style=False) r = ACResource.from_dict(rkey, rkey, serialization, obj) self.elements.append(r) self.logger.debug("%s PROCESS %s save %s" % (self.location, obj['kind'], rkey)) def sorted(self, key=lambda x: x.rkey): # returns an iterator, probably return sorted(self.elements, key=key)

39.593361

119

0.60459

601c20fc70b2c4c025895b6a31c983530e66d1e3

6,329

py

Python

akivymd/uix/onboarding.py

JUDE122-MAX/akivymd

b2daddd2f58889859514286606f46a4af6f03828

[ "MIT" ]

51

2020-06-18T15:14:02.000Z

2022-03-07T05:46:11.000Z

akivymd/uix/onboarding.py

JUDE122-MAX/akivymd

b2daddd2f58889859514286606f46a4af6f03828

[ "MIT" ]

16

2020-07-19T08:13:45.000Z

2021-06-05T20:55:12.000Z

akivymd/uix/onboarding.py

JUDE122-MAX/akivymd

b2daddd2f58889859514286606f46a4af6f03828

[ "MIT" ]

15

2020-07-18T10:34:10.000Z

2021-07-03T09:07:37.000Z

from kivy.animation import Animation from kivy.clock import Clock from kivy.core.window import Window from kivy.event import EventDispatcher from kivy.lang import Builder from kivy.metrics import dp from kivy.properties import ( BooleanProperty, ListProperty, NumericProperty, StringProperty, ) from kivy.uix.boxlayout import BoxLayout from kivy.uix.carousel import Carousel from kivy.uix.widget import Widget from kivymd.theming import ThemableBehavior Builder.load_string( """ <ItemCircles>: size_hint_x: None canvas.before: Color: rgba: root._circles_color Line: circle: [ self.pos[0]+self.width/2, self.pos[1]+self.height/2, self.width/2] width: dp(1) <AKOnboardingItem>: <AKOnboarding>: orientation: 'vertical' MyCarousel: min_move:root.min_move anim_type: root.anim_type anim_move_duration: root.anim_move_duration id: carousel FloatLayout: id: rounded_box size_hint_y: None height: circles_box.y+ circles_box.height*2 canvas.before: Color: rgba: root.bottom_bar_color if root.bottom_bar_color else app.theme_cls.bg_dark a: 1 if root.show_bottom_bar else 0 RoundedRectangle: pos: self.pos size: self.size radius: root.bottom_bar_radius Widget: id: ghost_circle size_hint: None, None canvas.before: Color: rgba: root.circles_color if root.circles_color else root.theme_cls.primary_color Ellipse: pos: self.pos size: self.size BoxLayout: id: circles_box pos: rounded_box.width/2-self.width/2 , rounded_box.height/2-self.height/2 size_hint: None,None size: self.minimum_width , root.circles_size spacing: root.circles_size/2 MDFlatButton: text: 'Skip' on_release: root._on_finish_dispatch() disabled: False if root.skip_button else True opacity: 1 if root.skip_button else 0 text_color: root.circles_color if root.circles_color else root.theme_cls.primary_color pos_hint: {'right': .95, 'center_y': .5} """ ) class ItemCircles(ThemableBehavior, Widget): _circles_color = ListProperty(None) def __init__(self, **kwargs): super().__init__(**kwargs) class MyCarousel(ThemableBehavior, Carousel): def __init__(self, **kwargs): super().__init__(**kwargs) Clock.schedule_once(lambda x: self._add_circles()) Window.bind(on_resize=self._on_resize) def _add_circles(self): self.total_circles = len(self.slides) - 1 if self.parent.circles_color: circle_color = self.parent.circles_color else: circle_color = self.theme_cls.primary_color for _ in range(self.total_circles + 1): self.parent.ids.circles_box.add_widget( ItemCircles( width=self.parent.circles_size, _circles_color=circle_color ) ) self._current_circle = self.total_circles Clock.schedule_once(lambda x: self._set_current_circle(animation=False)) def on_size(self, *args): Clock.schedule_once(lambda x: self._set_current_circle(animation=False)) return super().on_size(*args) def reset(self): self._current_circle = self.total_circles self._set_current_circle() self.load_slide(self.slides[0]) def _set_current_circle(self, mode=None, animation=True): if mode == "next": if self._current_circle > 0: self._current_circle -= 1 else: self.parent._on_finish_dispatch() elif mode == "previous": if self._current_circle < self.total_circles: self._current_circle += 1 if animation: width = self.parent.ids.ghost_circle.width anim = Animation( pos=self.parent.ids.circles_box.children[ self._current_circle ].pos, t=self.anim_type, duration=self.anim_move_duration, ) anim.start(self.parent.ids.ghost_circle) else: self.parent.ids.ghost_circle.pos = ( self.parent.ids.circles_box.children[self._current_circle].pos ) def on_touch_up(self, touch): if abs(self._offset) > self.width * self.min_move: if self._offset > 0: # previous screen self._set_current_circle("previous") elif self._offset < 0: # next screen self._set_current_circle("next") return super().on_touch_up(touch) def _on_resize(self, *args): Clock.schedule_once(lambda x: self._set_current_circle(animation=False)) class AKOnboardingItem(BoxLayout): pass class AKOnboarding(ThemableBehavior, BoxLayout, EventDispatcher): circles_size = NumericProperty(dp(20)) skip_button = BooleanProperty(True) min_move = NumericProperty(0.05) anim_type = StringProperty("out_quad") anim_move_duration = NumericProperty(0.2) bottom_bar_radius = ListProperty([dp(20), dp(20), 0, 0]) show_bottom_bar = BooleanProperty(True) bottom_bar_color = ListProperty(None) circles_color = ListProperty(None) def __init__(self, **kwargs): super(AKOnboarding, self).__init__(**kwargs) self.register_event_type("on_finish") Clock.schedule_once(lambda x: self._update()) def add_widget(self, widget, index=0, canvas=None): if issubclass(widget.__class__, AKOnboardingItem): self.ids.carousel.add_widget(widget) else: super().add_widget(widget, index=index, canvas=canvas) def _on_finish_dispatch(self): self.dispatch("on_finish") def on_finish(self, *args): pass def reset(self): return self.ids.carousel.reset() def on_size(self, *args): self.ids.carousel.size = self.size def _update(self): self.ids.ghost_circle.size = [self.circles_size, self.circles_size]

31.02451

100

0.625217

1377ef1d2b3d26f3cb21622018b84fcb43f3a66b

20,018

py

Python

poppy/manager/default/ssl_certificate.py

LukeRepko/poppy

0620ff595f8fcaa445b684de99ad130a3c398461

[ "Apache-2.0" ]

3

2017-07-05T20:09:59.000Z

2018-11-27T22:02:57.000Z

poppy/manager/default/ssl_certificate.py

LukeRepko/poppy

0620ff595f8fcaa445b684de99ad130a3c398461

[ "Apache-2.0" ]

24

2017-04-18T15:14:04.000Z

2019-03-20T19:09:07.000Z

poppy/manager/default/ssl_certificate.py

LukeRepko/poppy

0620ff595f8fcaa445b684de99ad130a3c398461

[ "Apache-2.0" ]

8

2017-04-03T13:24:27.000Z

2021-11-08T20:28:10.000Z

# Copyright (c) 2014 Rackspace, Inc. # # 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 json from oslo_context import context as context_utils from oslo_log import log from poppy.common import errors from poppy.common import util from poppy.distributed_task.taskflow.flow import create_ssl_certificate from poppy.distributed_task.taskflow.flow import delete_ssl_certificate from poppy.distributed_task.taskflow.flow import recreate_ssl_certificate from poppy.manager import base from poppy.model.helpers import domain from poppy.model import ssl_certificate from poppy.transport.validators import helpers as validators LOG = log.getLogger(__name__) class DefaultSSLCertificateController(base.SSLCertificateController): def __init__(self, manager): super(DefaultSSLCertificateController, self).__init__(manager) self.distributed_task_controller = ( self._driver.distributed_task.services_controller ) self.storage = self._driver.storage.certificates_controller self.service_storage = self._driver.storage.services_controller self.flavor_controller = self._driver.storage.flavors_controller def create_ssl_certificate( self, project_id, cert_obj, https_upgrade=False): if (not validators.is_valid_domain_name(cert_obj.domain_name)) or \ (validators.is_root_domain( domain.Domain(cert_obj.domain_name).to_dict())) or \ (not validators.is_valid_tld(cert_obj.domain_name)): # here created a http domain object but it does not matter http or # https raise ValueError('%s must be a valid non-root domain' % cert_obj.domain_name) try: flavor = self.flavor_controller.get(cert_obj.flavor_id) # raise a lookup error if the flavor is not found except LookupError as e: raise e try: self.storage.create_certificate( project_id, cert_obj ) # ValueError will be raised if the cert_info has already existed except ValueError as e: raise e providers = [p.provider_id for p in flavor.providers] kwargs = { 'providers_list_json': json.dumps(providers), 'project_id': project_id, 'cert_obj_json': json.dumps(cert_obj.to_dict()), 'context_dict': context_utils.get_current().to_dict() } if https_upgrade is True: kwargs['https_upgrade'] = True self.distributed_task_controller.submit_task( create_ssl_certificate.create_ssl_certificate, **kwargs) return kwargs def delete_ssl_certificate(self, project_id, domain_name, cert_type): cert_obj = self.storage.get_certs_by_domain( domain_name, cert_type=cert_type) try: flavor = self.flavor_controller.get(cert_obj.flavor_id) # raise a lookup error if the flavor is not found except LookupError as e: raise e providers = [p.provider_id for p in flavor.providers] kwargs = { 'project_id': project_id, 'domain_name': domain_name, 'cert_type': cert_type, 'cert_obj_json': json.dumps(cert_obj.to_dict()), 'providers_list_json': json.dumps(providers), 'context_dict': context_utils.get_current().to_dict() } self.distributed_task_controller.submit_task( delete_ssl_certificate.delete_ssl_certificate, **kwargs) return kwargs def get_certs_info_by_domain(self, domain_name, project_id): return self.storage.get_certs_by_domain( domain_name=domain_name, project_id=project_id) def get_san_retry_list(self): if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj res = akamai_driver.mod_san_queue.traverse_queue() # For other providers san_retry_list implementation goes here else: # if not using akamai driver just return an empty list return [] res = [json.loads(r) for r in res] return [ {"domain_name": r['domain_name'], "project_id": r['project_id'], "flavor_id": r['flavor_id'], "cert_type": r['cert_type'], "validate_service": r.get('validate_service', True)} for r in res ] def update_san_retry_list(self, queue_data_list): for r in queue_data_list: service_obj = self.service_storage\ .get_service_details_by_domain_name(r['domain_name']) if service_obj is None and r.get('validate_service', True): raise LookupError(u'Domain {0} does not exist on any service, ' 'are you sure you want to proceed request, ' '{1}? You can set validate_service to False ' 'to retry this san-retry request forcefully'. format(r['domain_name'], r)) cert_for_domain = None try: cert_for_domain = self.storage.get_certs_by_domain( r['domain_name']) except ValueError: LOG.info("No matching certificates found for " "the domain {}".format(r['domain_name'])) if cert_for_domain: if cert_for_domain.get_cert_status() == "deployed": raise ValueError(u'Cert on {0} already exists'. format(r['domain_name'])) new_queue_data = [ json.dumps({'flavor_id': r['flavor_id'], 'domain_name': r['domain_name'], 'project_id': r['project_id'], 'cert_type': r['cert_type'], 'validate_service': r.get('validate_service', True)}) for r in queue_data_list ] res, deleted = [], [] if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj orig = [json.loads(r) for r in akamai_driver.mod_san_queue.traverse_queue()] res = [json.loads(r) for r in akamai_driver.mod_san_queue.put_queue_data(new_queue_data)] deleted = tuple(x for x in orig if x not in res) # other provider's retry-list implementation goes here return res, deleted def rerun_san_retry_list(self): run_list = [] ignore_list = [] if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj retry_list = [] while len(akamai_driver.mod_san_queue.mod_san_queue_backend) > 0: res = akamai_driver.mod_san_queue.dequeue_mod_san_request() retry_list.append(json.loads(res.decode('utf-8'))) retry_list = util.remove_duplicates(retry_list) # double check in POST. This check should really be first done in # PUT for r in retry_list: err_state = False service_obj = self.service_storage\ .get_service_details_by_domain_name(r['domain_name']) if service_obj is None and r.get('validate_service', True): err_state = True LOG.error( u'Domain {0} does not exist on any service, are you ' 'sure you want to proceed request, {1}? You can set ' 'validate_service to False to retry this san-retry ' 'request forcefully'.format(r['domain_name'], r) ) elif ( service_obj is not None and service_obj.operator_status.lower() == 'disabled' ): err_state = True LOG.error( u'The service for domain {0} is disabled.' 'No certificates will be created for ' 'service {1} while it remains in {2} operator_status' 'request forcefully'.format( r['domain_name'], service_obj.service_id, service_obj.operator_status ) ) try: cert_for_domain = self.storage.get_certs_by_domain( r['domain_name']) if cert_for_domain.get_cert_status() == "deployed": err_state = True LOG.error( u'Certificate on {0} has already been provisioned ' 'successfully.'.format(r['domain_name'])) except ValueError: LOG.info("No matching certificates found for " "the domain {}".format(r['domain_name'])) if err_state is False: run_list.append(r) else: ignore_list.append(r) if not r.get('validate_service', True): # validation is False, send ignored retry_list # object back to queue akamai_driver.mod_san_queue.enqueue_mod_san_request( json.dumps(r) ) LOG.warn( "{0} was skipped because it failed validation.".format( r['domain_name'] ) ) for cert_obj_dict in run_list: try: cert_obj = ssl_certificate.SSLCertificate( cert_obj_dict['flavor_id'], cert_obj_dict['domain_name'], cert_obj_dict['cert_type'], project_id=cert_obj_dict['project_id'] ) try: cert_for_domain = ( self.storage.get_certs_by_domain( cert_obj.domain_name, project_id=cert_obj.project_id, flavor_id=cert_obj.flavor_id, cert_type=cert_obj.cert_type)) # If this cert has been deployed through manual # process we ignore the rerun process for this entry if cert_for_domain.get_cert_status() == 'deployed': run_list.remove(cert_obj_dict) ignore_list.append(cert_obj_dict) continue except ValueError: LOG.info("No matching certificates found for " "the domain {}".format(cert_obj.domain_name)) # rerun the san process try: flavor = self.flavor_controller.get(cert_obj.flavor_id) # raise a lookup error if the flavor is not found except LookupError as e: raise e providers = [p.provider_id for p in flavor.providers] kwargs = { 'project_id': cert_obj.project_id, 'domain_name': cert_obj.domain_name, 'cert_type': cert_obj.cert_type, 'providers_list_json': json.dumps(providers), 'cert_obj_json': json.dumps(cert_obj.to_dict()), 'enqueue': False, 'context_dict': context_utils.RequestContext( tenant=cert_obj.project_id ).to_dict() } self.distributed_task_controller.submit_task( recreate_ssl_certificate.recreate_ssl_certificate, **kwargs) except Exception as e: # When exception happens we log it and re-queue this # request LOG.exception(e) run_list.remove(cert_obj_dict) ignore_list.append(cert_obj_dict) akamai_driver.mod_san_queue.enqueue_mod_san_request( json.dumps(cert_obj_dict) ) # For other providers post san_retry_list implementation goes here else: # if not using akamai driver just return summary of run list and # ignore list pass return run_list, ignore_list def get_san_cert_configuration(self, san_cert_name): if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj if san_cert_name not in akamai_driver.san_cert_cnames: raise ValueError( "%s is not a valid san cert, valid san certs are: %s" % (san_cert_name, akamai_driver.san_cert_cnames)) res = akamai_driver.cert_info_storage.get_cert_config( san_cert_name ) else: # if not using akamai driver just return an empty list res = {} return res def update_san_cert_configuration(self, san_cert_name, new_cert_config): if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj if san_cert_name not in akamai_driver.san_cert_cnames: raise ValueError( "%s is not a valid san cert, valid san certs are: %s" % (san_cert_name, akamai_driver.san_cert_cnames)) # given the spsId, determine the most recent jobId # and persist the jobId if new_cert_config.get('spsId') is not None: resp = akamai_driver.sps_api_client.get( akamai_driver.akamai_sps_api_base_url.format( spsId=new_cert_config['spsId'] ), ) if resp.status_code != 200: raise RuntimeError( 'SPS GET Request failed. Exception: {0}'.format( resp.text ) ) else: resp_json = resp.json() new_cert_config['jobId'] = ( resp_json['requestList'][0]['jobId'] ) res = akamai_driver.cert_info_storage.update_cert_config( san_cert_name, new_cert_config) else: # if not using akamai driver just return an empty list res = {} return res def get_sni_cert_configuration(self, cert_name): if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj self._validate_sni_cert_name(akamai_driver, cert_name) res = akamai_driver.cert_info_storage.get_sni_cert_info(cert_name) else: # if not using akamai driver just return an empty list res = {} return res def update_sni_cert_configuration(self, cert_name, new_cert_config): if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj self._validate_sni_cert_name(akamai_driver, cert_name) res = akamai_driver.cert_info_storage.update_sni_cert_config( cert_name, new_cert_config ) else: # if not using akamai driver just return an empty list res = {} return res def get_san_cert_hostname_limit(self): if 'akamai' in self._driver.providers: akamai_driver = self._driver.providers['akamai'].obj res = akamai_driver.cert_info_storage.get_san_cert_hostname_limit() res = {'san_cert_hostname_limit': res} else: # if not using akamai driver just return an empty list res = {'san_cert_hostname_limit': 0} return res @staticmethod def _validate_sni_cert_name(provider_driver, cert_name): if cert_name not in provider_driver.sni_cert_cnames: raise ValueError( "{0} is not a valid sni cert, " "valid sni certs are: {1}".format( cert_name, provider_driver.sni_cert_cnames)) def set_san_cert_hostname_limit(self, request_json): if 'akamai' in self._driver.providers: try: new_limit = request_json['san_cert_hostname_limit'] except Exception as exc: LOG.error("Error attempting to update san settings {0}".format( exc )) raise ValueError('Unknown setting!') akamai_driver = self._driver.providers['akamai'].obj res = akamai_driver.cert_info_storage.set_san_cert_hostname_limit( new_limit ) else: # if not using akamai driver just return an empty list res = 0 return res def get_certs_by_status(self, status): certs_by_status = self.storage.get_certs_by_status(status) return certs_by_status def update_certificate_status(self, domain_name, certificate_updates): certificate_old = self.storage.get_certs_by_domain(domain_name) try: if ( certificate_updates.get("op") == "replace" and certificate_updates.get("path") == "status" and certificate_updates.get("value") is not None ): if ( certificate_old.get_cert_status() != certificate_updates.get("value") ): new_cert_details = certificate_old.cert_details # update the certificate for the first provider akamai # this logic changes when multiple certificate providers # are supported first_provider = list(new_cert_details.keys())[0] first_provider_cert_details = ( list(new_cert_details.values())[0] ) first_provider_cert_details["extra_info"][ "status"] = certificate_updates.get("value") new_cert_details[first_provider] = json.dumps( first_provider_cert_details ) self.storage.update_certificate( certificate_old.domain_name, certificate_old.cert_type, certificate_old.flavor_id, new_cert_details ) except Exception as e: LOG.error( "Something went wrong during certificate update: {0}".format( e ) ) raise errors.CertificateStatusUpdateError(e)

41.704167

79

0.550055

878024ab69f27846b3b55ffe2d3fc64fc136e295

133

py

Python

pybry/__init__.py

pavlo-seimskyi/PyBRY

af86805a8077916f72f3fe980943d4cd741e61f0

[ "MIT" ]

null

pybry/__init__.py

pavlo-seimskyi/PyBRY

af86805a8077916f72f3fe980943d4cd741e61f0

[ "MIT" ]

null

pybry/__init__.py

pavlo-seimskyi/PyBRY

af86805a8077916f72f3fe980943d4cd741e61f0

[ "MIT" ]

null

from .lbryd_api import LbrydApi from .lbrycrd_api import LbrycrdApi from .LBRYException import LBRYException __version__ = '1.6.4'

19

40

0.81203

adb24d256d58f9218131a48f76f096cd72fb64ef

850

py

Python

orders/forms.py

OSAMAMOHAMED1234/E-Commerce_django

c9dc14e47e0a369ad91e21a461d2c28ad47543e7

[ "MIT" ]

3

2018-05-02T20:37:11.000Z

2020-10-15T17:19:26.000Z

orders/forms.py

OSAMAMOHAMED1234/E-Commerce_django

c9dc14e47e0a369ad91e21a461d2c28ad47543e7

[ "MIT" ]

1

2019-06-10T21:35:13.000Z

orders/forms.py

OSAMAMOHAMED1234/E-Commerce_django

c9dc14e47e0a369ad91e21a461d2c28ad47543e7

[ "MIT" ]

null

from django import forms from django.contrib.auth import get_user_model from .models import Checkout from products.models import Product User = get_user_model() class UpdateCheckoutForm(forms.ModelForm): product_id = forms.IntegerField(widget=forms.HiddenInput) class Meta: model = Checkout fields = [ 'product_id', 'quantity', ] def clean_quantity(self): quantity = self.cleaned_data['quantity'] qs = self.cleaned_data['product_id'] available = Product.objects.filter(id=qs).first().quantity if quantity > available: raise forms.ValidationError('Quantity more than the available quantity = {}!'.format(available)) if quantity == 0: raise forms.ValidationError('Quantity can not be less than 1') return quantity

29.310345

108

0.663529

ed30bca65fbc33392e7e50fa5d33b8bb2331da42

2,971

py

Python

python/curagridder/test_ws.py

HLSUD/NUFFT

6dead03fcdfea058ac3c0322723ee73f2695c74a

[ "MIT" ]

1

2021-07-31T12:52:55.000Z

python/curagridder/test_ws.py

HLSUD/NUFFT

6dead03fcdfea058ac3c0322723ee73f2695c74a

[ "MIT" ]

1

2021-04-24T16:07:07.000Z

python/curagridder/test_ws.py

HLSUD/NUFFT

6dead03fcdfea058ac3c0322723ee73f2695c74a

[ "MIT" ]

null

from curagridder import ms2dirty, dirty2ms import numpy as np import time # import pytest from numpy.testing import assert_, assert_allclose, assert_array_almost_equal def _l2error(a, b): return np.sqrt(np.sum(np.abs(a-b)**2)/np.sum(np.abs(a)**2)) def explicit_gridder(uvw, freq, ms, nxdirty, nydirty, xpixsize, ypixsize): speedoflight = 299792458. x, y = np.meshgrid(*[-ss/2 + np.arange(ss) for ss in [nxdirty, nydirty]], indexing='ij') x *= xpixsize y *= ypixsize res = np.zeros((nxdirty, nydirty)) eps = x**2+y**2 nm1 = -eps/(np.sqrt(1.-eps)+1.) n = nm1+1 for row in range(ms.shape[0]): for chan in range(ms.shape[1]): phase = (freq[chan]/speedoflight * (x*uvw[row, 0] + y*uvw[row, 1] + uvw[row, 2]*nm1)) res += (ms[row, chan]*np.exp(2j*np.pi*phase)).real return res/n def test_against_wdft(nrow, nchan, nxdirty, nydirty, fov, epsilon): print("\n\nTesting imaging with {} rows and {} " "frequency channels".format(nrow, nchan)) print("Dirty image has {}x{} pixels, " "FOV={} degrees".format(nxdirty, nydirty, fov)) print("Requested accuracy: {}".format(epsilon)) xpixsize = fov*np.pi/180/nxdirty ypixsize = fov*np.pi/180/nydirty speedoflight = 299792458. np.random.seed(42) f0 = 1e9 freq = f0 + np.arange(nchan)*(f0/nchan) uvw = (np.random.rand(nrow, 3)-0.5)/(f0/speedoflight) ms = np.random.rand(nrow, nchan)-0.5 + 1j*(np.random.rand(nrow, nchan)-0.5) dirty = np.random.rand(nxdirty, nydirty)-0.5 + 0j dirty2 = np.zeros((nxdirty,nydirty),dtype=np.complex128) print("begin") start = time.time() dirty2 = ms2dirty(uvw,freq, ms, None, dirty2, fov, epsilon,2) end = time.time() print("The elapsed time {} (sec)".format(end-start)) print("Execution finished") dirty2 = np.reshape(dirty2,[nxdirty,nydirty]) ms2 = np.zeros((nrow,1),dtype=np.complex128) ms2 = dirty2ms(uvw,freq, ms2, None, dirty, fov, epsilon,2) # ms2 = np.reshape(ms2,[nrow,1]) print("\nadjointness testing....") print(np.vdot(ms, ms2).real) print(np.vdot(dirty2, dirty).real) assert_allclose(np.vdot(ms, ms2).real, np.vdot(dirty2, dirty).real, rtol=1e-12) if nrow<1e4: print("Vertification begin") truth = explicit_gridder(uvw, freq, ms, nxdirty, nydirty, xpixsize, ypixsize) print("L2 error between explicit transform and CURIG:", _l2error(truth, dirty2.real)) # the first test will execute 2 times to warp up the GPU # for i in range(10): test_against_wdft(1000, 1, 512, 512, 2, 1e-12) test_against_wdft(1000, 1, 512, 512, 2, 1e-12) test_against_wdft(10000, 1, 512, 512, 60, 1e-12) # test_against_wdft(10000, 1, 1024, 1024, 2, 1e-12) # test_against_wdft(100000000, 1, 1024, 1024, 2, 1e-12) # test_against_wdft(100000000, 1, 2048, 2048, 2, 1e-12) # test_against_wdft(100000000, 1, 4096, 4096, 2, 1e-12)

33.761364

85

0.636486

3974d2b9ba2d874b0b837ddcb54099e0808f3d40

1,425

py

Python

containers/python/rpc_test_container.py

EyalSel/clipper

3c5a1cc6ce59e0ccd778f526a50808d0e7b2576f

[ "Apache-2.0" ]

32

2019-09-11T16:49:58.000Z

2022-01-26T15:40:40.000Z

containers/python/rpc_test_container.py

EyalSel/clipper

3c5a1cc6ce59e0ccd778f526a50808d0e7b2576f

[ "Apache-2.0" ]

7

2018-06-20T22:06:09.000Z

2019-01-07T04:01:22.000Z

containers/python/rpc_test_container.py

EyalSel/clipper

3c5a1cc6ce59e0ccd778f526a50808d0e7b2576f

[ "Apache-2.0" ]

9

2019-09-03T14:05:26.000Z

2021-12-22T07:17:27.000Z

import rpc import os import sys import numpy as np import json class RPCTestContainer(rpc.ModelContainerBase): def __init__(self, rpc_service): self.rpc_service = rpc_service def predict_doubles(self, inputs): outputs = [] for input_item in inputs: input_item = inputs[0] clipper_time = input_item[0] event_history = self.rpc_service.get_event_history() recent_events = [] for i in range(0, len(event_history)): curr_event = event_history[i] if curr_event[0] >= clipper_time: if i > 0 and len(recent_events) == 0: # Capture the heartbeat message # sent before Clipper came online recent_events.append(event_history[i - 1][1]) recent_events.append(event_history[i][1]) outputs.append(json.dumps(recent_events)) return outputs if __name__ == "__main__": ip = "127.0.0.1" port = 7000 input_type = "doubles" model_version = 1 rpc_service = rpc.RPCService(collect_metrics=False, read_config=False) rpc_service.model_name = "rpctest_py" rpc_service.model_version = 1 rpc_service.host = "127.0.0.1" rpc_service.port = 7000 rpc_service.input_type = "doubles" model = RPCTestContainer(rpc_service) rpc_service.start(model)

30.978261

74

0.61193

72801996b90f7c15a7bbd56251dc8790958fb2c5

81,567

py

Python

nxt_editor/dockwidgets/property_editor.py

nxt-dev/nxt_editor

7497c280f8c27a06d3cfc2be1de5d9eb80eca913

[ "MIT" ]

131

2020-12-03T08:01:26.000Z

2022-03-07T03:41:37.000Z

nxt_editor/dockwidgets/property_editor.py

zklins/nxt_editor

57386a561c5e1d216a8998ef63a6bd9b02c62b7c

[ "MIT" ]

127

2020-12-07T21:43:02.000Z

2022-02-17T22:31:14.000Z

nxt_editor/dockwidgets/property_editor.py

zklins/nxt_editor

57386a561c5e1d216a8998ef63a6bd9b02c62b7c

[ "MIT" ]

17

2020-12-08T08:06:44.000Z

2021-11-18T05:40:11.000Z

# Built-in import textwrap import sys import logging from functools import partial # External from Qt import QtWidgets from Qt import QtGui from Qt import QtCore try: QtCore.QStringListModel except AttributeError: del QtCore from PySide2 import QtCore # Internal from nxt_editor import user_dir from nxt_editor.dockwidgets.dock_widget_base import DockWidgetBase from nxt_editor.pixmap_button import PixmapButton from nxt_editor.label_edit import LabelEdit from nxt_editor import colors, LOGGER_NAME from nxt_editor.decorator_widgets import OpinionDots from nxt import DATA_STATE, NODE_ERRORS, nxt_path from nxt.nxt_node import INTERNAL_ATTRS, META_ATTRS from nxt import tokens # Fixme: Should this be a pref? HISTORICAL_MAX_CHARS = 50 logger = logging.getLogger(LOGGER_NAME) class PropertyEditor(DockWidgetBase): PREF_KEY = user_dir.USER_PREF.ATTR_SORTING def __init__(self, graph_model=None, title='Property Editor', parent=None, minimum_width=300, minimum_height=350): super(PropertyEditor, self).__init__(title=title, parent=parent, minimum_width=minimum_width, minimum_height=minimum_height) self.setObjectName('Property Editor') # local attributes self.main_window = parent self.authoring_actions = parent.node_actions self._actions = parent.property_manager_actions self.comment_actions = parent.node_comment_actions self.stage_model = graph_model self.node_path = None self._resolved = True self.node_path = '' self.node_instance = '' self.node_inst_source = ('', '') self.inst_layer_colors = [] self.node_name = '' self.node_pos = (0.0, 0.0) self.node_comment = '' self.node_comment_source = ('', '') self.comment_layer_colors = [] self.node_execute = '' self.node_exec_source = ('', '') self.exec_layer_colors = [] self.node_child_order = [] self.co_layer_colors = [] self.node_attr_names = [] self.node_enabled = True self.enabled_layer_colors = [] self.selection = [] self.user_sort_pref = user_dir.user_prefs.get(self.PREF_KEY) # main layout self.main = QtWidgets.QWidget(parent=self) self.setWidget(self.main) self.layout = QtWidgets.QVBoxLayout() self.layout.setContentsMargins(0, 0, 0, 0) self.layout.setSpacing(0) self.main.setLayout(self.layout) self.background_frame = QtWidgets.QFrame(self) self.background_frame.setStyleSheet('background-color: #3E3E3E; border-radius: 0px;') self.layout.addWidget(self.background_frame) # ACTIONS self.addActions(self._actions.actions()) # Inst path self.localize_inst_path_action = self._actions.localize_inst_path_action self.localize_inst_path_action.triggered.connect( self.localize_inst_path) self.revert_inst_path_action = self._actions.revert_inst_path_action self.revert_inst_path_action.triggered.connect(self.revert_inst_path) # Exec path self.localize_exec_path_action = self._actions.localize_exec_path_action self.localize_exec_path_action.triggered.connect( self.localize_exec_path) self.revert_exec_path_action = self._actions.revert_exec_path_action self.revert_exec_path_action.triggered.connect(self.revert_exec_path) # Attrs self.add_attr_action = self._actions.add_attr_action self.add_attr_action.triggered.connect(self.add_attr) self.remove_attr_action = self._actions.remove_attr_action self.remove_attr_action.triggered.connect(self.remove_selected_attrs) # Copy Actions self.copy_raw_action = self._actions.copy_raw_action copy_raw = partial(self.copy_selected_attrs, DATA_STATE.RAW) self.copy_raw_action.triggered.connect(copy_raw) self.copy_resolved_action = self._actions.copy_resolved_action copy_resolved = partial(self.copy_selected_attrs, DATA_STATE.RESOLVED) self.copy_resolved_action.triggered.connect(copy_resolved) self.copy_cached_action = self._actions.copy_cached_action copy_cached = partial(self.copy_selected_attrs, DATA_STATE.CACHED) self.copy_cached_action.triggered.connect(copy_cached) # Localize/Revert self.localize_attr_action = self._actions.localize_attr_action self.localize_attr_action.triggered.connect(self.localize_attrs) self.revert_attr_action = self._actions.revert_attr_action self.revert_attr_action.triggered.connect(self.revert_attrs) ############ # properties ############ self.properties_frame = QtWidgets.QFrame(self) self.properties_frame.setStyleSheet('background-color: #3E3E3E; border-radius: 0px;') self.layout.addWidget(self.properties_frame) self.properties_layout = QtWidgets.QVBoxLayout() self.properties_layout.setContentsMargins(4, 0, 4, 0) self.properties_layout.setSpacing(0) self.properties_frame.setLayout(self.properties_layout) # name self.name_layout = QtWidgets.QHBoxLayout() self.name_layout.setContentsMargins(0, 0, 0, 0) self.properties_layout.addLayout(self.name_layout) self.name_label = LabelEdit(parent=self) self.name_label.setFont(QtGui.QFont("Roboto", 14)) self.name_label.nameChangeRequested.connect(self.edit_name) self.name_layout.addWidget(self.name_label, 0, QtCore.Qt.AlignLeft) self.name_edit_button = PixmapButton(pixmap=':icons/icons/pencil.png', pixmap_hover=':icons/icons/pencil_hover.png', pixmap_pressed=':icons/icons/pencil.png', size=16, parent=self) self.name_edit_button.pressed.connect(self.name_label.edit_text) self.name_layout.addWidget(self.name_edit_button, 0, QtCore.Qt.AlignLeft) self.name_layout.addStretch() # details self.details_layout = QtWidgets.QGridLayout() self.details_layout.setContentsMargins(20, 4, 0, 4) self.details_layout.setSpacing(2) self.properties_layout.addLayout(self.details_layout) # path self.path_label = QtWidgets.QLabel('Path', parent=self) self.details_layout.addWidget(self.path_label, 0, 0) self.path_field = QtWidgets.QLineEdit(parent=self) self.path_field.setAlignment(QtCore.Qt.AlignVCenter) self.path_field.setStyleSheet('border-radius: 11px; border: 1px solid transparent; background-color: #323232') self.path_field.setFont(QtGui.QFont("Roboto Mono", 8)) self.path_field.setAlignment(QtCore.Qt.AlignVCenter) self.path_field.setReadOnly(True) self.details_layout.addWidget(self.path_field, 0, 1) # instance self.instance_label = QtWidgets.QLabel('Instance', parent=self) self.details_layout.addWidget(self.instance_label, 1, 0) self.instance_layout = QtWidgets.QGridLayout() self.details_layout.addLayout(self.instance_layout, 1, 1) self.instance_field = LineEdit(parent=self) self.instance_field.focus_changed.connect(self.focus_instance_field) self.instance_field.setFont(QtGui.QFont("Roboto Mono", 8)) self.instance_field.setAlignment(QtCore.Qt.AlignVCenter) self.instance_field.editingFinished.connect(self.edit_instance) self.instance_layout.addWidget(self.instance_field, 0, 0) self.instance_field_model = QtCore.QStringListModel() self.instance_field_completer = QtWidgets.QCompleter() self.instance_field_completer.popup().setStyleSheet('border: 1px solid transparent; background-color: #323232; color: white') self.instance_field_completer.setModel(self.instance_field_model) self.instance_field.setCompleter(self.instance_field_completer) self.instance_field.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) self.instance_field.customContextMenuRequested.connect(self.instance_context_menu) self.locate_instance_button = PixmapButton(pixmap=':icons/icons/locate_off.png', pixmap_hover=':icons/icons/locate_on_hover.png', pixmap_pressed=':icons/icons/locate_on_pressed.png', size=16, parent=self.properties_frame) self.locate_instance_button.setToolTip('Locate Instance') self.locate_instance_button.setStyleSheet('QToolTip {color: white; border: 1px solid #3E3E3E}') self.locate_instance_button.setFixedWidth(17) self.locate_instance_button.setFixedHeight(16) self.locate_instance_button.clicked.connect(self.view_instance_node) self.instance_layout.addWidget(self.locate_instance_button, 0, 1) self.instance_opinions = OpinionDots(self, 'Instance Opinions') self.instance_layout.addWidget(self.instance_opinions, 0, 2) self.remove_instance_button = PixmapButton(pixmap=':icons/icons/delete.png', pixmap_hover=':icons/icons/delete_hover.png', pixmap_pressed=':icons/icons/delete_pressed.png', size=12, parent=self.properties_frame) self.remove_instance_button.setToolTip('Revert Instance') self.remove_instance_button.setStyleSheet('QToolTip {color: white; border: 1px solid #3E3E3E}') self.remove_instance_button.set_action(self.revert_inst_path_action) self.instance_layout.addWidget(self.remove_instance_button, 0, 3) # execute in self.execute_label = QtWidgets.QLabel('Exec Input', parent=self) self.details_layout.addWidget(self.execute_label, 2, 0) self.execute_layout = QtWidgets.QGridLayout() self.details_layout.addLayout(self.execute_layout, 2, 1) self.execute_field = LineEdit(parent=self) self.execute_field.setStyleSheet(line_edit_style_factory('white')) self.execute_field.setFont(QtGui.QFont("Roboto Mono", 8)) self.execute_field.setAlignment(QtCore.Qt.AlignVCenter) self.execute_field.editingFinished.connect(self.edit_exec_source) self.execute_field.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) self.execute_field.customContextMenuRequested.connect(self.exec_context_menu) self.execute_layout.addWidget(self.execute_field, 0, 0) self.execute_field_model = QtCore.QStringListModel() self.execute_field_completer = QtWidgets.QCompleter() self.execute_field_completer.popup().setStyleSheet('border: 1px solid transparent; background-color: #323232; color: white') self.execute_field_completer.setModel(self.execute_field_model) self.execute_field.setCompleter(self.execute_field_completer) self.execute_opinions = OpinionDots(self, 'Execute Opinions') self.execute_layout.addWidget(self.execute_opinions, 0, 1) self.remove_exec_source_button = PixmapButton(pixmap=':icons/icons/delete.png', pixmap_hover=':icons/icons/delete_hover.png', pixmap_pressed=':icons/icons/delete_pressed.png', size=12, parent=self.properties_frame) self.remove_exec_source_button.setToolTip('Revert Execute Source') self.remove_exec_source_button.setStyleSheet('QToolTip {color: white; border: 1px solid #3E3E3E}') self.remove_exec_source_button.set_action(self.revert_exec_path_action) self.execute_layout.addWidget(self.remove_exec_source_button, 0, 2) # execute_order self.child_order_label = QtWidgets.QLabel('Child Order', parent=self) self.details_layout.addWidget(self.child_order_label, 3, 0) self.child_order_layout = QtWidgets.QGridLayout() self.details_layout.addLayout(self.child_order_layout, 3, 1) self.child_order_field = LineEdit(parent=self) self.child_order_field.setStyleSheet('border-radius: 11px; border: 1px solid transparent; background-color: #232323') self.child_order_field.setFont(QtGui.QFont("Roboto Mono", 8)) self.child_order_field.setAlignment(QtCore.Qt.AlignVCenter) self.child_order_field.accept.connect(self.accept_edit_child_order) self.child_order_field.cancel.connect(self.cancel_edit_child_order) self.child_order_layout.addWidget(self.child_order_field, 0, 0) self.child_order_field_model = QtCore.QStringListModel() self.child_order_field_completer = QtWidgets.QCompleter() self.child_order_field_completer.popup().setStyleSheet('border: 1px solid transparent; background-color: #323232; color: white') self.child_order_field_completer.setModel(self.child_order_field_model) self.child_order_field.setCompleter(self.child_order_field_completer) self.child_order_opinions = OpinionDots(self, 'Child Order Opinions') self.child_order_layout.addWidget(self.child_order_opinions, 0, 1) self.revert_child_order_button = PixmapButton( pixmap=':icons/icons/delete.png', pixmap_hover=':icons/icons/delete_hover.png', pixmap_pressed=':icons/icons/delete_pressed.png', size=12, parent=self.properties_frame) self.revert_child_order_button.setToolTip('Revert Child Order') self.revert_child_order_button.setStyleSheet( 'QToolTip {color: white; border: 1px solid #3E3E3E}') self.revert_child_order_button.clicked.connect(self.revert_child_order) self.child_order_layout.addWidget(self.revert_child_order_button, 0, 2) # position self.position_label = QtWidgets.QLabel('Position', parent=self) self.position_label.setMaximumWidth(80) self.details_layout.addWidget(self.position_label, 4, 0) self.position_layout = QtWidgets.QHBoxLayout() self.details_layout.addLayout(self.position_layout, 4, 1) self.positionX_field = NodePositionSpinbox(parent=self) self.positionX_field.setFixedWidth(80) self.positionX_field.setAlignment(QtCore.Qt.AlignRight) self.positionX_field.setSingleStep(1) self.positionX_field.setMaximum(10000) self.positionX_field.setMinimum(-10000) self.positionX_field.stepChanged.connect(self.edit_position) self.positionX_field.editingFinished.connect(self.edit_position) self.position_layout.addWidget(self.positionX_field, 0, QtCore.Qt.AlignLeft) self.positionY_field = NodePositionSpinbox(parent=self) self.positionY_field.setFixedWidth(80) self.positionY_field.setAlignment(QtCore.Qt.AlignRight) self.positionY_field.setSingleStep(1) self.positionY_field.setMaximum(10000) self.positionY_field.setMinimum(-10000) self.positionY_field.stepChanged.connect(self.edit_position) self.positionY_field.editingFinished.connect(self.edit_position) self.position_layout.addWidget(self.positionY_field, 0, QtCore.Qt.AlignLeft) self.enabled_checkbox_label = QtWidgets.QLabel('Enabled: ', parent=self) self.position_layout.addWidget(self.enabled_checkbox_label, 0, QtCore.Qt.AlignLeft) self.enabled_checkbox = QtWidgets.QCheckBox() self.enabled_checkbox.stateChanged.connect(self.toggle_node_enabled) self.position_layout.addWidget(self.enabled_checkbox, 0, QtCore.Qt.AlignLeft) self.enabled_opinions = OpinionDots(self, 'Enabled Opinions') self.position_layout.addWidget(self.enabled_opinions, 0, QtCore.Qt.AlignLeft) icn = ':icons/icons/' self.revert_enabled = PixmapButton(pixmap=icn+'delete.png', pixmap_hover=icn+'delete_hover.png', pixmap_pressed=icn+'delete_pressed.png', size=12, parent=self.properties_frame) self.revert_enabled.setToolTip('Revert Enabled State') self.revert_enabled.setStyleSheet('QToolTip {color: white; ' 'order: 1px solid #3E3E3E' '}') self.revert_enabled.clicked.connect(self.revert_node_enabled) self.position_layout.addWidget(self.revert_enabled, 0, QtCore.Qt.AlignLeft) self.position_layout.addStretch() # comment self.comment_label = QtWidgets.QLabel('Comment') self.details_layout.addWidget(self.comment_label, 5, 0) self.comment_layout = QtWidgets.QGridLayout() self.details_layout.addLayout(self.comment_layout, 5, 1) self.comment_field = TextEdit(self, 'Node Comment') self.comment_field.addActions(self.comment_actions.actions()) self.comment_field.setFixedHeight(44) self.comment_field.setTabChangesFocus(False) self.comment_field.accept.connect(self.accept_edit_comment) self.comment_field.cancel.connect(self.cancel_edit_comment) self.comment_layout.addWidget(self.comment_field, 0, 0) self.comment_opinions = OpinionDots(self, 'Comment Opinions', vertical=True) self.comment_layout.addWidget(self.comment_opinions, 0, 1) self.remove_comment_button = PixmapButton(pixmap=':icons/icons/delete.png', pixmap_hover=':icons/icons/delete_hover.png', pixmap_pressed=':icons/icons/delete_pressed.png', size=12, parent=self.properties_frame) self.remove_comment_button.setToolTip('Revert Comment') self.remove_comment_button.setStyleSheet('QToolTip {color: white; border: 1px solid #3E3E3E}') self.remove_comment_button.clicked.connect(self.remove_comment) self.comment_layout.addWidget(self.remove_comment_button, 0, 2) # Comment self.accept_comment_action = self.comment_actions.accept_comment_action self.accept_comment_action.triggered.connect(self.accept_edit_comment) self.cancel_comment_action = self.comment_actions.cancel_comment_action self.cancel_comment_action.triggered.connect(self.cancel_edit_comment) ################## # attributes table ################## style = ''' QTableView { outline: none; border-radius: 11px; border: 1px solid transparent; font-family: "Roboto Mono"; font-size: 12px } QTableView::item { padding: 3px; } QTableView::item:selected:hover { color: #148CD2; } QTableView:item:selected { background-color: #113343; color: white; } QHeaderView { border-radius: 8px; border: 0px solid transparent; } QHeaderView::section::horizontal::first { border-top-left-radius: 6px; } QHeaderView::section::horizontal::last { border-top-right-radius: 6px; } QToolTip { font-family: Roboto Mono; color: white; border: 1px solid #3E3E3E } ''' self.attributes_widget = QtWidgets.QWidget(self) self.attributes_widget.setStyleSheet('background-color: #232323') self.properties_layout.addWidget(self.attributes_widget, 1) self.attributes_layout = QtWidgets.QVBoxLayout() self.attributes_layout.setContentsMargins(0, 0, 0, 0) self.attributes_layout.setSpacing(0) self.attributes_widget.setLayout(self.attributes_layout) self.table_view = AttrsTableView(self) self.table_view.setSelectionMode(QtWidgets.QAbstractItemView.ExtendedSelection) self.table_view.setEditTriggers(QtWidgets.QAbstractItemView.DoubleClicked) self.table_view.setSortingEnabled(True) self.table_view.setStyleSheet(style) self.table_view.verticalHeader().setMinimumSectionSize(12) self.table_view.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) self.table_view.customContextMenuRequested.connect(self.custom_context_menu) self.attributes_layout.addWidget(self.table_view, 1) self.attributes_layout.addStretch() # headers horizontal_header = self.table_view.horizontalHeader() horizontal_header.setSectionsMovable(True) horizontal_header.setStretchLastSection(True) header_dict = {COLUMNS.name: 'Name', COLUMNS.value: 'Value', COLUMNS.nxt_type: 'Type', COLUMNS.source: 'Source', COLUMNS.locality: 'Locality', COLUMNS.comment: 'Comment'} self.header_names = COLUMNS.column_dict_to_list(header_dict) self.model = PropertyModel(graph_model=self.stage_model, node_path=self.node_path, view=self.table_view, headers=self.header_names, parent=self) self.proxy_model = QtCore.QSortFilterProxyModel() self.proxy_model.setSourceModel(self.model) self.table_view.setModel(self.proxy_model) self.table_view.selectionModel().selectionChanged.connect(self.set_selection) # add remove row self.property_options_layout = QtWidgets.QHBoxLayout() self.property_options_layout.setContentsMargins(10, 4, 10, 10) self.property_options_layout.setSpacing(8) self.properties_layout.addLayout(self.property_options_layout) self.property_options_layout.addStretch(10) # Add attr button self.add_attr_button = PixmapButton(pixmap=':icons/icons/plus.png', pixmap_hover=':icons/icons/plus_hover.png', pixmap_pressed=':icons/icons/plus_hover.png', size=10, parent=self.properties_frame) self.add_attr_button.setFixedWidth(10) self.add_attr_button.set_action(self.add_attr_action) self.property_options_layout.addWidget(self.add_attr_button) # Remove attr button self.remove_attr_button = PixmapButton(pixmap=':icons/icons/minus.png', pixmap_hover=':icons/icons/minus_hover.png', pixmap_pressed=':icons/icons/minus_hover.png', size=10, parent=self.properties_frame) self.remove_attr_button.setFixedWidth(10) self.remove_attr_button.set_action(self.remove_attr_action) self.property_options_layout.addWidget(self.remove_attr_button) if not self.main_window.in_startup: self.update_styles() self.display_properties() @property def view(self): return self.main_window.view @property def resolved(self): return self.stage_model.data_state if self.stage_model else True def update_resolved(self): self.model.set_represented_node(node_path=self.node_path) def set_selection(self): indexes = [self.proxy_model.mapToSource(p) for p in self.table_view.selectedIndexes()] self.model.selected_indexes = indexes def set_stage_model(self, stage_model): super(PropertyEditor, self).set_stage_model(stage_model=stage_model) if self.stage_model: self.model.stage_model = self.stage_model self.set_represented_node() def set_stage_model_connections(self, model, connect): self.model_signal_connections = [ (model.node_focus_changed, self.set_represented_node), (model.nodes_changed, self.handle_nodes_changed), (model.attrs_changed, self.handle_attrs_changed), (model.data_state_changed, self.update_resolved), (model.node_moved, self.handle_node_moved), (model.comp_layer_changed, self.set_represented_node), (model.target_layer_changed, self.set_represented_node), ] super(PropertyEditor, self).set_stage_model_connections(model, connect) def on_stage_model_destroyed(self): super(PropertyEditor, self).on_stage_model_destroyed() self.properties_frame.hide() def handle_nodes_changed(self, nodes): if self.node_path in nodes: self.set_represented_node() def handle_attrs_changed(self, attr_paths): for path in attr_paths: if self.node_path == nxt_path.node_path_from_attr_path(path): self.set_represented_node() return def handle_node_moved(self, node_path): if node_path == self.node_path: self.node_pos = self.stage_model.get_node_pos(node_path) self.update_properties() def set_represented_node(self): self.node_path = self.stage_model.node_focus if not self.node_path: self.clear() self.properties_frame.hide() return self.properties_frame.show() if self.user_sort_pref: order_str = self.user_sort_pref['order'] if order_str == 'AscendingOrder': order = QtCore.Qt.AscendingOrder else: order = QtCore.Qt.DescendingOrder col = self.user_sort_pref['column'] if self.model.rowCount(self): self.model.horizontal_header.blockSignals(True) self.model.horizontal_header.setSortIndicator(col, order) self.model.horizontal_header.blockSignals(False) self.node_name = nxt_path.node_name_from_node_path(self.node_path) if not self.node_name: self.clear() return disp_layer = self.stage_model.comp_layer # set instance completer options # Todo: node_path completer logic needed! top_nodes = self.stage_model.get_node_sibling_paths(self.node_path) if top_nodes: self.instance_field_model.setStringList(top_nodes) node_path = self.node_path # set execute completer options sibling_node_paths = self.stage_model.get_node_sibling_paths(node_path) if sibling_node_paths: self.execute_field_model.setStringList(sibling_node_paths) # set node data if self.stage_model.data_state != DATA_STATE.RAW: expand = True else: expand = False self.node_instance = self.stage_model.get_node_instance_path(node_path, disp_layer, expand) self.node_inst_source = self.stage_model.get_node_attr_source(node_path, INTERNAL_ATTRS.INSTANCE_PATH, disp_layer) inst_layers = self.stage_model.get_layers_with_opinion(self.node_path, INTERNAL_ATTRS.INSTANCE_PATH) self.inst_layer_colors = self.stage_model.get_layer_colors(inst_layers) self.node_pos = self.stage_model.get_node_pos(self.node_path) self.node_comment = self.stage_model.get_node_comment(self.node_path, disp_layer) self.node_comment_source = self.stage_model.get_node_attr_source(node_path, INTERNAL_ATTRS.COMMENT, disp_layer) comment_layers = self.stage_model.get_layers_with_opinion(self.node_path, INTERNAL_ATTRS.COMMENT) self.comment_layer_colors = self.stage_model.get_layer_colors(comment_layers) self.node_execute = self.stage_model.get_node_exec_in(node_path, disp_layer) self.node_exec_source = self.stage_model.get_node_attr_source(node_path, INTERNAL_ATTRS.EXECUTE_IN, disp_layer) exec_layers = self.stage_model.get_layers_with_opinion(self.node_path, INTERNAL_ATTRS.EXECUTE_IN) self.exec_layer_colors = self.stage_model.get_layer_colors(exec_layers) self.node_enabled = self.stage_model.get_node_enabled(self.node_path) enabled_layers = self.stage_model.get_layers_with_opinion(self.node_path, INTERNAL_ATTRS.ENABLED) self.enabled_layer_colors = self.stage_model.get_layer_colors(enabled_layers) self.node_child_order = self.stage_model.get_node_child_order(node_path, disp_layer) co_layers = self.stage_model.get_layers_with_opinion(self.node_path, INTERNAL_ATTRS.CHILD_ORDER) self.co_layer_colors = self.stage_model.get_layer_colors(co_layers) # update general self.update_name() self.update_properties() self.update_styles() self.display_properties() # update attribute model self.model.set_represented_node(node_path=self.node_path) def view_instance_node(self): instance_path = self.instance_field.text() if instance_path: self.stage_model.select_and_frame(instance_path) def focus_instance_field(self, in_focus): """Ensures the path is not expanded when the instance field gains focus. Listens to the custom focus signal. :param in_focus: bool :return: None """ expand = not in_focus if self.instance_field.has_focus: return if in_focus: layer = self.stage_model.target_layer else: layer = self.stage_model.comp_layer path = self.stage_model.get_node_instance_path(self.node_path, layer, expand=expand) if not path: layer = self.stage_model.comp_layer comp_path = self.stage_model.get_node_instance_path(self.node_path, layer, expand=expand) if comp_path != path: path = comp_path self.instance_field.setText(path) def update_properties(self): self.name_label.setText(self.node_name) self.path_field.setText(self.node_path) self.instance_field.setText(self.node_instance) self.instance_opinions.layer_colors = self.inst_layer_colors self.positionX_field.setValue(self.node_pos[0]) self.positionY_field.setValue(self.node_pos[1]) self.comment_field.setText(self.node_comment) self.comment_opinions.layer_colors = self.comment_layer_colors self.execute_field.setText(self.node_execute) self.execute_opinions.layer_colors = self.exec_layer_colors old_signal_state = self.enabled_checkbox.blockSignals(True) if self.node_enabled: check_box_state = QtCore.Qt.Checked else: check_box_state = QtCore.Qt.Unchecked self.enabled_checkbox.setCheckState(check_box_state) self.enabled_checkbox.blockSignals(old_signal_state) self.enabled_opinions.layer_colors = self.enabled_layer_colors self.child_order_field.setText(' '.join(self.node_child_order)) self.child_order_opinions.layer_colors = self.co_layer_colors def update_styles(self): if not self.stage_model or not self.node_path: return # get colors tgt_layer_color = self.stage_model.get_layer_color( self.stage_model.target_layer) or 'transparent' # style position widgets top_layer_color = self.stage_model.get_layer_color( self.stage_model.top_layer) or 'transparent' pos_style = ''' QAbstractSpinBox { background-color: #232323; border: 1px solid transparent; color: #F0F0F0; padding-top: 2px; padding-bottom: 2px; padding-left: 0px; padding-right: 0px; border-radius: 11px; } QAbstractSpinBox:hover { border: 1px solid %s; } QAbstractSpinBox:focus { border: 2px solid %s; } QAbstractSpinBox:up-button { border-left: 0px solid #3E3E3E; padding-right: 6px; padding-top: 3px; } QAbstractSpinBox:down-button { border-left: 0px solid #3E3E3E; padding-right: 6px; padding-bottom: 3px; } ''' % (top_layer_color, top_layer_color) self.positionX_field.setStyleSheet(pos_style) self.positionY_field.setStyleSheet(pos_style) errors = self.stage_model.get_node_error(self.node_path, self.stage_model.comp_layer) # other fields ec = self.stage_model.get_layer_color(self.node_exec_source[0]) e_s = line_edit_style_factory(ec, tgt_layer_color) self.execute_field.setStyleSheet(e_s) co_s = line_edit_style_factory(tgt_layer_color=tgt_layer_color) self.child_order_field.setStyleSheet(co_s) cc = self.stage_model.get_layer_color(self.node_comment_source[0]) c_s = line_edit_style_factory(cc, tgt_layer_color) self.comment_field.setStyleSheet(c_s) # instance field inst_color = self.stage_model.get_layer_color(self.node_inst_source[0]) inst_style = line_edit_style_factory(inst_color, tgt_layer_color) self.instance_field.setStyleSheet(inst_style) for error in errors: if error == NODE_ERRORS.INSTANCE: error_style = line_edit_style_factory(inst_color, tgt_layer_color, colors.ERROR.getRgb()) self.instance_field.setStyleSheet(error_style) elif error == NODE_ERRORS.EXEC: error_style = line_edit_style_factory(ec, tgt_layer_color, colors.ERROR.getRgb()) self.execute_field.setStyleSheet(error_style) elif error == NODE_ERRORS.ORPHANS: error_style = line_edit_style_factory('white', tgt_layer_color, colors.ERROR.getRgb()) self.child_order_field.setStyleSheet(error_style) def display_properties(self): # display properties if the node path is valid if not self.node_path or not self.stage_model: self.properties_frame.hide() elif self.properties_frame.isHidden(): self.properties_frame.show() # display properties if the node is a root node if self.stage_model: is_world = self.node_path == nxt_path.WORLD is_top = self.stage_model.is_top_node(self.node_path) self.name_label.setEnabled(not is_world) self.name_edit_button.setVisible(not is_world) self.instance_label.setVisible(not is_world) self.instance_field.setVisible(not is_world) self.locate_instance_button.setVisible(not is_world) self.remove_instance_button.setVisible(not is_world) self.instance_opinions.setVisible(not is_world) self.execute_field.setVisible(is_top) self.execute_label.setVisible(is_top) self.remove_exec_source_button.setVisible(is_top) self.execute_opinions.setVisible(not is_world) self.child_order_label.setVisible(not is_world) self.child_order_field.setVisible(not is_world) self.revert_child_order_button.setVisible(not is_world) self.child_order_opinions.setVisible(not is_world) self.position_label.setVisible(is_top) self.positionX_field.setVisible(is_top) self.positionY_field.setVisible(is_top) self.enabled_checkbox.setVisible(not is_world) self.enabled_checkbox_label.setVisible(not is_world) self.revert_enabled.setVisible(not is_world) self.enabled_opinions.setVisible(not is_world) def edit_name(self, new_name): self.stage_model.set_node_name(self.node_path, new_name, self.stage_model.target_layer) self.node_name = nxt_path.node_name_from_node_path(self.node_path) self.update_name() def update_name(self): self.name_label.setText(self.node_name) def edit_instance(self): comp_layer = self.stage_model.comp_layer target_layer = self.stage_model.target_layer if self.stage_model.node_exists(self.node_path, target_layer): lookup_layer = target_layer else: lookup_layer = comp_layer cur_inst_path = self.stage_model.get_node_instance_path(self.node_path, lookup_layer, expand=False) instance_path = str(self.instance_field.text()) if (not cur_inst_path and not instance_path or cur_inst_path == instance_path): # I want to use .isModified() but the completer doesn't count and # a modification, I think it internally uses setText - Lucas 2020 return if instance_path is not None: self.stage_model.set_node_instance(self.node_path, instance_path, target_layer) elif cur_inst_path is not None: self.stage_model.revert_node_instance(self.node_path, target_layer) self.update_styles() cur_inst_path = self.stage_model.get_node_instance_path(self.node_path, comp_layer, expand=False) self.instance_field.clearFocus() self.instance_field.setText(cur_inst_path) def edit_exec_source(self): comp_layer = self.stage_model.comp_layer target_layer = self.stage_model.target_layer cur_exec_path = self.stage_model.get_node_exec_in(self.node_path, comp_layer) source = str(self.execute_field.text()) if not cur_exec_path and not source or cur_exec_path == source: # I want to use .isModified() but the completer doesn't count and # a modification, I think it internally uses setText - Lucas 2020 return self.stage_model.set_node_exec_in(self.node_path, source, target_layer) real_exec_path = self.stage_model.get_node_exec_in(self.node_path, comp_layer) self.execute_field.setText(real_exec_path) self.update_styles() def remove_exec_source(self): self.stage_model.set_node_exec_in(self.node_path, None, self.stage_model.target_layer) def accept_edit_child_order(self): child_order = self.child_order_field.text().split() if self.stage_model: self.stage_model.set_node_child_order(self.node_path, child_order) self.node_child_order = self.stage_model.get_node_child_order(self.node_path, self.stage_model.comp_layer) self.update_properties() def cancel_edit_child_order(self): self.child_order_field.clearFocus() self.update_properties() def revert_child_order(self): if self.stage_model: self.stage_model.revert_child_order(node_path=self.node_path) def toggle_node_enabled(self): if self.stage_model: button_state = True if self.enabled_checkbox.checkState() == \ QtCore.Qt.Checked else False self.stage_model.set_node_enabled(self.node_path, button_state) return def revert_node_enabled(self): if self.stage_model: self.stage_model.revert_node_enabled(self.node_path) def edit_position(self): x = self.positionX_field.value() y = self.positionY_field.value() if not self.node_path or not self.stage_model.node_exists(self.node_path, self.stage_model.comp_layer): self.clear() return self.node_pos = (x, y) self.stage_model.set_nodes_pos({self.node_path: self.node_pos}) def accept_edit_comment(self): comment = self.comment_field.toPlainText() if self.stage_model: if (not comment and not self.node_comment or comment == self.node_comment): return self.stage_model.set_node_comment(self.node_path, comment, self.stage_model.target_layer) self.node_comment = self.stage_model.get_node_comment(self.node_path, self.stage_model.comp_layer) self.update_properties() def cancel_edit_comment(self): self.comment_field.blockSignals(True) self.comment_field.clearFocus() self.comment_field.blockSignals(False) self.update_properties() def remove_comment(self): if self.stage_model: self.stage_model.set_node_comment(node_path=self.node_path, comment=None, layer=self.stage_model.target_layer) def add_attr(self): if self.node_path: self.stage_model.add_node_attr(node_path=self.node_path, layer=self.stage_model.target_layer) def get_selected_attr_names(self): selection = self.table_view.selectedIndexes() attr_names = set() for index in selection: proxy_index = self.proxy_model.mapToSource(index) target_row = proxy_index.row() attr_names.add(self.model.get_data()[target_row][0]) return attr_names def remove_selected_attrs(self): for attr_name in self.get_selected_attr_names(): self.stage_model.delete_node_attr(node_path=self.node_path, attr_name=attr_name) def copy_selected_attrs(self, data_state): attr_names = self.get_selected_attr_names() self.stage_model.copy_attrs_val(self.node_path, attr_names, data_state) def clear(self): # clear data self.node_path = str() self.node_instance = str() self.node_name = str() self.node_pos = (float(), float()) self.node_comment = '' self.node_attr_names = list() # update general self.update_name() self.update_properties() self.display_properties() # update attribute model self.model.set_represented_node(node_path=self.node_path) def localize_inst_path(self): self.instance_field.blockSignals(True) self.stage_model.localize_node_instance(self.node_path) self.instance_field.blockSignals(False) def revert_inst_path(self): self.instance_field.blockSignals(True) comp_layer = self.stage_model.comp_layer cur_inst_path = self.stage_model.get_node_instance_path(self.node_path, comp_layer, expand=False) if cur_inst_path is not None: self.stage_model.revert_node_instance(self.node_path) self.instance_field.blockSignals(False) def localize_exec_path(self): self.execute_field.blockSignals(True) self.stage_model.localize_node_in_exec_source(self.node_path) self.execute_field.blockSignals(False) def revert_exec_path(self): self.execute_field.blockSignals(True) comp_layer = self.stage_model.comp_layer cur_inst_path = self.stage_model.get_node_exec_in(self.node_path, comp_layer) if cur_inst_path: self.stage_model.set_node_exec_in(self.node_path, None) self.execute_field.blockSignals(False) def localize_attrs(self): data = self.model._data path = self.node_path attr_names = list() for index in self.model.selected_indexes: attr_names.append(data[index.row()][0]) self.stage_model.localize_node_attrs(path, attr_names) def revert_attrs(self): data = self.model._data path = self.node_path attr_names = list() for index in self.model.selected_indexes: attr_names.append(data[index.row()][0]) self.stage_model.revert_node_attrs(path, attr_names) def custom_context_menu(self, pos): index = self.table_view.indexAt(pos) if not index.isValid: return index = self.proxy_model.mapToSource(index) name = index.sibling(index.row(), COLUMNS.name).data() if index.column() != COLUMNS.source: try: locality = self.model._data[index.row()][COLUMNS.locality] except IndexError: locality = None menu = QtWidgets.QMenu(self) menu.addAction(self.add_attr_action) if index.row() != -1: menu.addAction(self.remove_attr_action) menu.addSeparator() menu.addAction(self.localize_attr_action) path = self.node_path hist_func = self.stage_model.get_historical_opinions if locality == LOCALITIES.local and hist_func(path, name): menu.addAction(self.revert_attr_action) if index.column() == COLUMNS.value: menu.addSeparator() menu.addAction(self.copy_raw_action) menu.addAction(self.copy_resolved_action) menu.addAction(self.copy_cached_action) else: menu = HistoricalContextMenu(self, self.node_path, name, self.stage_model) menu.popup(QtGui.QCursor.pos()) @staticmethod def reset_action_enabled(actions): for action in actions: action.setEnabled(True) def instance_context_menu(self): self.instance_field.clearFocus() l_inst = self.instance_field menu = QtWidgets.QLineEdit.createStandardContextMenu(l_inst) menu.addAction(self.localize_inst_path_action) menu.addAction(self._actions.revert_inst_path_action) if not l_inst.text(): self.localize_inst_path_action.setEnabled(False) link_to = HistoricalContextMenu.LINKS.SOURCE historical_menu = HistoricalContextMenu(self, self.node_path, INTERNAL_ATTRS.INSTANCE_PATH, self.stage_model, truncate_left=True, link_to=link_to) menu.addMenu(historical_menu) menu.popup(QtGui.QCursor.pos()) menu.aboutToHide.connect(partial(self.reset_action_enabled, menu.actions())) def exec_context_menu(self): self.execute_field.clearFocus() l_exec = self.execute_field menu = QtWidgets.QLineEdit.createStandardContextMenu(l_exec) menu.addAction(self.localize_exec_path_action) menu.addAction(self.revert_exec_path_action) layer, src_path = self.stage_model.get_node_attr_source(self.node_path, INTERNAL_ATTRS.EXECUTE_IN, self.stage_model.comp_layer) tgt_path = self.stage_model.target_layer.real_path if src_path == self.node_path and layer == tgt_path: self.localize_exec_path_action.setEnabled(False) self.revert_exec_path_action.setEnabled(True) else: self.localize_exec_path_action.setEnabled(True) self.revert_exec_path_action.setEnabled(False) link_to = HistoricalContextMenu.LINKS.SOURCE historical_menu = HistoricalContextMenu(self, self.node_path, INTERNAL_ATTRS.EXECUTE_IN, self.stage_model, truncate_left=True, link_to=link_to) menu.addMenu(historical_menu) menu.popup(QtGui.QCursor.pos()) menu.aboutToHide.connect(partial(self.reset_action_enabled, menu.actions())) class PropertyModel(QtCore.QAbstractTableModel): """Property Editor model""" def __init__(self, parent=None, graph_model=None, node_path=None, view=None, headers=None): """Initialize the data structure and get header labels. Data Structure ############## attributes: <attributeName>: cached_value: <value> dirty: <bool> type: <value> value: <value> runtime: <bool> :param graph_model: :param parent: """ super(PropertyModel, self).__init__() # incoming data self.parent = parent self.stage_model = graph_model self.node_path = node_path self.view = view self.headers = headers # local attributes self.node_attr_names = [] self.node_attr_draw_details = {} self.attr_data = [] self.attr_data_resolved = [] self.attr_data_cached = [] self.selected_indexes = [] self.horizontal_header = self.view.horizontalHeader() self.state = None self.horizontal_header.sortIndicatorChanged.connect(self.save_state) self.horizontal_header.sectionResized.connect(self.save_state) # set default data self._data = [[]] @property def resolved(self): return self.stage_model.data_state def set_represented_node(self, node_path=None): """Sends node data for selected node to the model. :param node_path: :return: """ comp_layer = self.stage_model.comp_layer stage_model = self.stage_model self.node_path = node_path if not self.node_path or not stage_model.node_exists(node_path, comp_layer): self.clear() return # get attribute model data local_attrs = stage_model.get_node_local_attr_names(node_path, comp_layer) local_attrs = sorted(local_attrs) parent_attrs = stage_model.get_node_inherited_attr_names(node_path, comp_layer) parent_attrs = sorted(parent_attrs) inst_attrs = stage_model.get_node_instanced_attr_names(node_path, comp_layer) inst_attrs = sorted(inst_attrs) self.node_attr_names = [] for attr_list in (local_attrs, parent_attrs, inst_attrs): for attr in attr_list: if attr not in self.node_attr_names: self.node_attr_names += [attr] cached_attrs = stage_model.get_cached_attr_names(node_path) if stage_model.data_state == DATA_STATE.CACHED: for attr_name in cached_attrs: if attr_name not in self.node_attr_names: self.node_attr_names += [attr_name] self.attr_data = [] self.attr_data_resolved = [] self.attr_data_cached = [] for attr_name in self.node_attr_names: # get cached data cached = DATA_STATE.CACHED attr_cached = stage_model.get_node_attr_value(self.node_path, attr_name, data_state=cached, as_string=True) self.attr_data_cached += [attr_cached] # get resolved data resolved = DATA_STATE.RESOLVED resolved_val = stage_model.get_node_attr_value(node_path, attr_name, comp_layer, data_state=resolved) self.attr_data_resolved += [resolved_val] # Get locality if attr_name in local_attrs: locality = LOCALITIES.local elif attr_name in parent_attrs: locality = LOCALITIES.inherited elif attr_name in inst_attrs: locality = LOCALITIES.instanced elif attr_name in cached_attrs: locality = LOCALITIES.code # get raw data raw = DATA_STATE.RAW attr_value = stage_model.get_node_attr_value(node_path, attr_name, comp_layer, data_state=raw, as_string=True) type_layer = comp_layer if (stage_model.data_state == DATA_STATE.CACHED and stage_model.current_rt_layer): type_layer = stage_model.current_rt_layer.cache_layer attr_type = stage_model.get_node_attr_type(node_path, attr_name, type_layer) if locality == LOCALITIES.code: attr_source = node_path else: attr_source = stage_model.get_node_attr_source_path(node_path, attr_name, comp_layer) attr_comment = stage_model.get_node_attr_comment(node_path, attr_name, comp_layer) # add data row row_dict = {COLUMNS.name: attr_name, COLUMNS.value: attr_value, COLUMNS.nxt_type: attr_type, COLUMNS.source: attr_source, COLUMNS.locality: locality, COLUMNS.comment: attr_comment} row_data = COLUMNS.column_dict_to_list(row_dict) self.attr_data += [row_data] # get draw details for this attr color = stage_model.get_node_attr_color(node_path, attr_name, comp_layer) self.node_attr_draw_details[attr_name] = {'color': color} # set model data self.horizontal_header.sortIndicatorChanged.disconnect(self.save_state) self.horizontal_header.sectionResized.disconnect(self.save_state) self.beginResetModel() self._data = self.attr_data if self.attr_data else [[]] self.endResetModel() self.horizontal_header.sortIndicatorChanged.connect(self.save_state) self.horizontal_header.sectionResized.connect(self.save_state) # header settings # TODO Why on earth is the model touching the view like this? if self.attr_data: self.horizontal_header.setSectionResizeMode(COLUMNS.name, QtWidgets.QHeaderView.Interactive) self.horizontal_header.setSectionResizeMode(COLUMNS.value, QtWidgets.QHeaderView.Interactive) self.horizontal_header.setSectionResizeMode(COLUMNS.nxt_type, QtWidgets.QHeaderView.Fixed) self.horizontal_header.setSectionResizeMode(COLUMNS.source, QtWidgets.QHeaderView.Interactive) self.horizontal_header.setSectionResizeMode(COLUMNS.locality, QtWidgets.QHeaderView.Interactive) self.horizontal_header.setSectionResizeMode(COLUMNS.comment, QtWidgets.QHeaderView.Interactive) self.horizontal_header.setSortIndicatorShown(True) # column widths if self.state: if sys.version_info[0] > 2 and isinstance(self.state, str): self.state = bytes(self.state, 'utf-8') try: self.horizontal_header.restoreState(self.state) except TypeError: logger.error('Corrupted property editor pref!') self.state = '' self.view.resizeColumnToContents(COLUMNS.nxt_type) def get_data(self): return self._data def clear(self): self.beginResetModel() self._data = [[]] self.endResetModel() def save_state(self): self.state = self.horizontal_header.saveState() col = self.horizontal_header.sortIndicatorSection() order = self.horizontal_header.sortIndicatorOrder().name state = {'column': int(col), 'order': str(order)} if state == self.parent.user_sort_pref: return user_dir.user_prefs[self.parent.PREF_KEY] = state self.parent.user_sort_pref = state def setData(self, index, value, role=None): if not index.isValid: return False row = index.row() column = index.column() if value == self.attr_data[row][column] and column != COLUMNS.source: return False attr_name = str(self._data[row][COLUMNS.name]) # set attr name if role == QtCore.Qt.EditRole and column == COLUMNS.name: self.stage_model.rename_node_attr(node_path=self.node_path, attr_name=attr_name, new_attr_name=value, layer=self.stage_model.target_layer) return True # set attr value elif role == QtCore.Qt.EditRole and column == COLUMNS.value: if value == self.attr_data[row][column]: return False self.stage_model.set_node_attr_value(node_path=self.node_path, attr_name=attr_name, value=value, layer=self.stage_model.target_layer) return True # set attr comment elif role == QtCore.Qt.EditRole and column == COLUMNS.comment: self.stage_model.node_setattr_comment(self.node_path, attr_name, value, self.stage_model.target_layer) return True elif role == QtCore.Qt.CheckStateRole and column == COLUMNS.source: self.stage_model.select_and_frame(value) return True return False def data(self, index, role=None): if not index.isValid: return None row = index.row() column = index.column() cached_state = DATA_STATE.CACHED resolved_state = DATA_STATE.RESOLVED if role is None: return self._data[row][column] if role == QtCore.Qt.BackgroundRole and column == COLUMNS.value: try: unresolved_data = self._data[row][column] except IndexError: unresolved_data = None try: cached_data = self.attr_data_cached[row] except IndexError: cached_data = None in_cached_state = self.stage_model.data_state == cached_state if in_cached_state and not cached_data: color = colors.UNCACHED_RED return QtGui.QBrush(color, QtCore.Qt.BDiagPattern) if role == QtCore.Qt.DisplayRole: state = self.stage_model.data_state if column == COLUMNS.value and state is resolved_state: try: return self.attr_data_resolved[row] except IndexError: return None elif column == COLUMNS.value and state is cached_state: try: unresolved_data = self._data[row][column] cached_data = self.attr_data_cached[row] invalid_cache = unresolved_data and not cached_data if invalid_cache: return unresolved_data else: return cached_data except IndexError: return None else: return self._data[row][column] if role == QtCore.Qt.ToolTipRole: if column == COLUMNS.value: value = ' value : ' + (',\n ' + (' ' * 10)).join( textwrap.wrap(self._data[row][COLUMNS.value], 100)) resolved_state = 'resolved : ' + (',\n ' + (' ' * 10)).join( textwrap.wrap(str(self.attr_data_resolved[row]), 100)) cached_state = ' cached : ' + (',\n ' + (' ' * 10)).join( textwrap.wrap(str(self.attr_data_cached[row]), 100)) return '\n'.join([value, resolved_state, cached_state]) elif column == COLUMNS.source: path = self.node_path name = index.sibling(index.row(), COLUMNS.name).data() historicals = self.stage_model.get_historical_opinions(path, name) lines = [] for historical in historicals: _, source = historical.get(META_ATTRS.SOURCE) val = historical.get(META_ATTRS.VALUE) if len(val) > 50: val = val[:50] + '...' text = source + '.' + name + '\t' + val lines += [text] if not historicals: lines = ['No Historical Opinions'] return '\n'.join(lines) if role == QtCore.Qt.ForegroundRole: attr_name = self._data[row][COLUMNS.name] locality_idx = self._data[row][COLUMNS.locality] color = self.node_attr_draw_details[attr_name]['color'] if locality_idx in (LOCALITIES.local, LOCALITIES.code): return QtGui.QColor(color).lighter(150) else: return QtGui.QColor(color).darker(150) if role == QtCore.Qt.FontRole: if self._data[row][COLUMNS.locality] == LOCALITIES.instanced: font = QtGui.QFont() font.setItalic(True) return font if role == QtCore.Qt.DecorationRole and column == COLUMNS.nxt_type: attr_type = self._data[row][column] color = colors.ATTR_COLORS.get(attr_type, QtCore.Qt.gray) icon = QtGui.QPixmap(QtCore.QSize(10, 10)) icon.fill(QtCore.Qt.transparent) painter = QtGui.QPainter(icon) painter.setRenderHint(QtGui.QPainter.Antialiasing) painter.setBrush(color) painter.setPen(QtCore.Qt.NoPen) painter.drawEllipse(QtCore.QPointF(7, 5), 3, 3) del painter return icon if role == QtCore.Qt.EditRole: return self._data[row][column] def flags(self, index): column = index.column() if column in (COLUMNS.name, COLUMNS.value, COLUMNS.comment): return QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable | \ QtCore.Qt.ItemIsEditable elif column == COLUMNS.nxt_type: return QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable elif column == COLUMNS.source: return QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable else: return QtCore.Qt.NoItemFlags def headerData(self, section, orientation, role): if orientation == QtCore.Qt.Horizontal: if role == QtCore.Qt.DisplayRole: return self.headers[section] def rowCount(self, parent): return len(self._data) def columnCount(self, parent): return len(self._data[0]) class AttrsTableView(QtWidgets.QTableView): def __init__(self, parent=None): super(AttrsTableView, self).__init__(parent=parent) self.node_path_delegate = NodePathBtnDelegate(self) self.setItemDelegateForColumn(COLUMNS.source, self.node_path_delegate) self.mouse_pressed = False self.drag_start_pos = None self.setDragEnabled(True) self.setMouseTracking(True) self.installEventFilter(self) def mousePressEvent(self, event): super(AttrsTableView, self).mousePressEvent(event) self.mouse_pressed = self.indexAt(event.pos()) self.startDrag(event) def mouseReleaseEvent(self, event): super(AttrsTableView, self).mouseReleaseEvent(event) self.mouse_pressed = False self.drag_start_pos = None def mouseMoveEvent(self, event): super(AttrsTableView, self).mouseMoveEvent(event) if not self.drag_start_pos or not self.mouse_pressed: return start_drag_dist = QtWidgets.QApplication.startDragDistance() drag_delta = (event.pos() - self.drag_start_pos).manhattanLength() if drag_delta >= start_drag_dist: drag = QtGui.QDrag(self) mime_data = QtCore.QMimeData() attr_name = self.get_attr_name() if attr_name is None: return token = tokens.make_token_str(attr_name) mime_data.setText(token) drag.setMimeData(mime_data) drag.exec_() self.drag_start_pos = None def dragEnterEvent(self, event): event.setDropAction(QtCore.Qt.LinkAction) event.accept() def startDrag(self, event): self.drag_start_pos = None if not self.mouse_pressed: return self.drag_start_pos = event.pos() def get_attr_name(self): if not self.mouse_pressed: return idx = self.model().index(self.mouse_pressed.row(), COLUMNS.name) return self.model().data(idx) class NodePathBtnDelegate(QtWidgets.QStyledItemDelegate): def __init__(self, parent): self.parent = parent super(NodePathBtnDelegate, self).__init__() def paint(self, painter, option, index): self.initStyleOption(option, index) inner_rect = QtCore.QRect().united(option.rect) inner_rect = inner_rect.marginsRemoved(QtCore.QMargins(1, 1, 1, 1)) painter.setPen(QtCore.Qt.NoPen) painter.setBrush(option.backgroundBrush) attr_name = index.sibling(index.row(), COLUMNS.name).data() model = index.model().sourceModel() color = model.node_attr_draw_details[attr_name]['color'] color = QtGui.QColor(color) painter.setPen(color) if option.state & QtWidgets.QStyle.State_MouseOver: if self.parent.mouse_pressed == index.column(): color.setAlpha(110) else: color.setAlpha(80) else: color.setAlpha(50) painter.fillRect(inner_rect, color) color.setAlpha(255) painter.drawText(inner_rect, QtCore.Qt.AlignCenter, index.data()) def editorEvent(self, event, model, option, index): if event.button() != QtCore.Qt.MouseButton.LeftButton: return False if event.type() != QtCore.QEvent.Type.MouseButtonRelease: return False model.setData(index, index.data(), role=QtCore.Qt.CheckStateRole) return True class HistoricalContextMenu(QtWidgets.QMenu): class LINKS(object): SOURCE = 'source' VALUE = 'value' def __init__(self, parent, node_path, attr_name, stage_model, title='Historical Values', label_fmt=None, link_to=LINKS.SOURCE, truncate_left=False): self.colors = [] self.mouse_pos = QtCore.QPoint(0, 0) self.mouse_pressed = False super(HistoricalContextMenu, self).__init__(title=title, parent=parent) self.add_historcal_value_actions(node_path, attr_name, stage_model, truncate_left, link_to, label_fmt) def mouseMoveEvent(self, event): super(HistoricalContextMenu, self).mouseMoveEvent(event) self.mouse_pos = event.pos() def mousePressEvent(self, event): super(HistoricalContextMenu, self).mousePressEvent(event) self.mouse_pressed = True def mouseReleaseEvent(self, event): super(HistoricalContextMenu, self).mouseReleaseEvent(event) self.mouse_pressed = False def paintEvent(self, event): painter = QtGui.QPainter() fm = QtGui.QFontMetrics(self.font()) painter.begin(self) y = 0 y_txt = fm.height() * .5 self.rect().setHeight(self.rect().height() + y) step = self.rect().height() / len(self.actions()) painter.setRenderHint(QtGui.QPainter.Antialiasing) data = [] x_offset = self.rect().width() option = QtWidgets.QStyleOptionButton() option.initFrom(self) for action in self.actions(): color = getattr(action, 'color', '#232323') rect = QtCore.QRect(0, y, self.rect().width(), step) x = fm.boundingRect(action.text()).width() x_pos = (rect.width() - x) * .5 if x_pos < x_offset: x_offset = x_pos item_data = {'rect': rect, 'color': color, 'text': action.text(), 'y': y} data += [item_data] y += step for item_data in data: color = QtGui.QColor(item_data['color']) rect = item_data['rect'] if rect.contains(self.mouse_pos): if self.mouse_pressed: mult = 110 else: mult = 80 color.setAlpha(mult) else: color.setAlpha(50) painter.fillRect(rect, color) color = QtCore.Qt.white painter.setPen(color) painter.drawText(x_offset, rect.height() - y_txt + item_data['y'], item_data['text']) painter.end() def add_historcal_value_actions(self, node_path, attr_name, stage_model, truncate_left=False, link_to=LINKS.SOURCE, label_fmt=None): """Adds menu actions representing each historical value for the given node_path and attr_name. If truncate_left is True the any characters over the HISTORICAL_MAX_CHARS limit will be removed from the left of the string. Otherwise they will be removed from the right. Default text_mode will result in: "/node.attr 123" :param node_path: String of node path :param attr_name: String of attr name :param stage_model: StageModel :param link_to: LINKS.SOURCE or LINKS.VALUE tells the stage model what data to try and select and focus to :param label_fmt: String ready for formatting i.e.: '{source}.{attr_name} {value}' Valid format keys are: source attr_name value :param truncate_left: bool :return: None """ if attr_name != INTERNAL_ATTRS.INSTANCE_PATH: historicals = stage_model.get_historical_opinions(node_path, attr_name) else: historicals = stage_model.get_instance_trace(node_path) if not historicals: action = self.addAction('No Historical Opinions') action.setEnabled(False) if attr_name in INTERNAL_ATTRS.SAVED: attr_name = INTERNAL_ATTRS.as_save_key(attr_name) for historical in historicals: layer, source = historical.get(META_ATTRS.SOURCE) color = stage_model.get_layer_color(layer) val = historical.get(META_ATTRS.VALUE) or '' char_count = len(val) if link_to == self.LINKS.SOURCE: link = source else: link = val if char_count > HISTORICAL_MAX_CHARS: if truncate_left: val = '...' + val[char_count - HISTORICAL_MAX_CHARS:] else: val = val[:HISTORICAL_MAX_CHARS] + '...' if label_fmt is None: pref_key = user_dir.USER_PREF.HISTORICAL_LABEL_FORMAT default_fmt = '{source}.{attr_name} {value}' label_fmt = user_dir.user_prefs.get(pref_key, default_fmt) text = label_fmt.format(source=source, attr_name=attr_name, value=val) func = partial(stage_model.select_and_frame, link) action = self.addAction(text, func) action.color = color class NodePositionSpinbox(QtWidgets.QSpinBox): stepChanged = QtCore.Signal() def stepBy(self, step): value = self.value() super(QtWidgets.QSpinBox, self).stepBy(step) if self.value() != value: self.stepChanged.emit() class LineEdit(QtWidgets.QLineEdit): accept = QtCore.Signal() cancel = QtCore.Signal() focus_changed = QtCore.Signal(bool) def __init__(self, parent=None): # Cheat because hasFocus is the parent not the actual line self.has_focus = False super(LineEdit, self).__init__(parent) def keyPressEvent(self, event): # accept edit if event.key() in (QtCore.Qt.Key_Enter, QtCore.Qt.Key_Return): self.accept.emit() self.clearFocus() # cancel edit elif event.key() == QtCore.Qt.Key_Escape: self.cancel.emit() # pass else: return QtWidgets.QLineEdit.keyPressEvent(self, event) def focusInEvent(self, event): super(LineEdit, self).focusInEvent(event) self.focus_changed.emit(True) self.has_focus = True def focusOutEvent(self, event): super(LineEdit, self).focusOutEvent(event) self.has_focus = False self.focus_changed.emit(False) class TextEdit(QtWidgets.QTextEdit): accept = QtCore.Signal() cancel = QtCore.Signal() def __init__(self, parent, name): super(TextEdit, self).__init__(parent=parent) self.layer_colors = [] self.setObjectName(name) def focusOutEvent(self, event): super(TextEdit, self).focusOutEvent(event) self.accept.emit() class OverlayWidget(QtWidgets.QWidget): def __init__(self, parent=None): super(OverlayWidget, self).__init__(parent) self._parent = parent self.ext_color = QtGui.QColor(62, 62, 62, 190) self.base_color = QtGui.QColor(62, 62, 62, 0) self.main_color = self.base_color self.setWindowFlags(QtCore.Qt.FramelessWindowHint) self.setAttribute(QtCore.Qt.WA_TranslucentBackground) self.setAttribute(QtCore.Qt.WA_TransparentForMouseEvents) self.data_state = '' def paintEvent(self, event): painter = QtGui.QPainter() painter.begin(self) painter.setRenderHint(QtGui.QPainter.Antialiasing) # actual_display_state self.data_state = DATA_STATE.RAW if self.data_state == DATA_STATE.RAW: color = QtGui.QColor(100, 0, 0, 200) painter.fillRect(self.parent().rect(), QtGui.QBrush(color, QtCore.Qt.BDiagPattern)) painter.end() def update(self): self.setGeometry(self.parent().rect()) super(OverlayWidget, self).update() class LOCALITIES: code = '0.Code' local = '1.Local' inherited = '2.Parent' instanced = '3.Inst' class COLUMNS: name = 0 value = 1 nxt_type = 2 source = 3 locality = 4 comment = 5 @classmethod def column_dict_to_list(cls, columns_dict): """Helper method for sorting row data correctly. This allows for easy changes to row data in the future. """ columns = ['', '', '', '', '', ''] for k, v in columns_dict.items(): columns[k] = v return columns def line_edit_style_factory(txt_color='white', tgt_layer_color='white', bg_color='#232323'): """Generates a string of a qss style sheet for a line edit. Colors can be supplied as strings of color name or hex value. If a color arg receives a tuple we assume it is either an rgb or rgba tuple. :param txt_color: Color the text of the line edit should be. :param tgt_layer_color: The color of the current target layer. :param bg_color: The color that will fill the background of the line eidit. :return: string of qss """ def handle_rgb(color_tuple): """Assumes the tuple is rgba or rgb (len 4 or 3)""" val = ','.join([str(i) for i in color_tuple]) if len(color_tuple) == 4: rgb = 'rgba({})'.format(val) else: rgb = 'rgb({})'.format(val) return rgb if isinstance(bg_color, tuple): bg_color = handle_rgb(bg_color) style = ''' QTextEdit, QLineEdit { border-radius: 11px; border: 1px solid transparent; background-color: %s; color: %s } QTextEdit:hover, QLineEdit:hover { border: 1px solid %s } QTextEdit:focus, QLineEdit:focus { border: 2px solid %s } ''' % (bg_color, txt_color, tgt_layer_color, tgt_layer_color) return style

44.596501

136

0.596467

94b2252d0d890e7c8feb5c93edb487cb4d2dda81

30,536

py

Python

modules/eden/sync.py

unimauro/eden

b739d334e6828d0db14b3790f2f5e2666fc83576

[ "MIT" ]

null

modules/eden/sync.py

unimauro/eden

b739d334e6828d0db14b3790f2f5e2666fc83576

[ "MIT" ]

null

modules/eden/sync.py

unimauro/eden

b739d334e6828d0db14b3790f2f5e2666fc83576

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Sahana Eden Synchronization @author: Dominic König <dominic[at]aidiq.com> @copyright: 2009-2012 (c) Sahana Software Foundation @license: MIT 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. """ __all__ = ["SyncDataModel", "sync_rheader", "sync_now", "sync_job_reset"] from gluon import * from gluon.storage import Storage from gluon.dal import Row from ..s3 import * # ============================================================================= class SyncDataModel(S3Model): names = ["sync_config", "sync_status", "sync_repository", "sync_task", "sync_job", "sync_conflict", "sync_log"] def model(self): T = current.T db = current.db request = current.request s3 = current.response.s3 UNKNOWN_OPT = current.messages.UNKNOWN_OPT NONE = current.messages.NONE define_table = self.define_table configure = self.configure add_component = self.add_component set_method = self.set_method scheduler_task_id = s3.scheduler_task_id s3_datetime_represent = lambda dt: \ S3DateTime.datetime_represent(dt, utc=True) # ------------------------------------------------------------------------- # Configuration # ------------------------------------------------------------------------- tablename = "sync_config" table = define_table(tablename, Field("proxy", label=T("Proxy Server URL"), requires=IS_EMPTY_OR(IS_URL(mode="generic"))), *s3.meta_fields()) # Field configuration table.uuid.readable = True table.uuid.label = "UUID" table.uuid.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("UUID"), T("Unique identifier which THIS repository identifies itself with when sending synchronization requests."))) table.proxy.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Proxy Server URL"), T("URL of the default proxy server to connect to remote repositories (if required). If only some of the repositories require the use of a proxy server, you can configure this in the respective repository configurations."))) # CRUD Strings s3.crud_strings[tablename] = Storage( title_display = T("Synchronization Settings"), title_update = T("Edit Synchronization Settings"), msg_record_modified = T("Synchronization settings updated")) # Resource Configuration configure(tablename, insertable=False, deletable=False, update_next=URL(c="sync", f="config", args=["1", "update"])) # ------------------------------------------------------------------------- # Status # ------------------------------------------------------------------------- tablename = "sync_status" table = define_table(tablename, Field("running", "boolean", default=False, readable=False, writable=False), Field("manual", "boolean", default=False, readable=False, writable=False), Field("timestmp", "datetime", readable=False, writable=False)) # ------------------------------------------------------------------------- # Repository # ------------------------------------------------------------------------- tablename = "sync_repository" table = define_table(tablename, Field("name", length=64, notnull=True), Field("url", label="URL", requires = IS_EMPTY_OR( IS_NOT_IN_DB(db, "sync_repository.url"))), Field("username"), Field("password", "password"), Field("proxy", label=T("Proxy Server URL"), requires=IS_EMPTY_OR(IS_URL(mode="generic"))), Field("last_status", readable=False, writable=False, label=T("Last status")), Field("accept_push", "boolean", default=False, label=T("Accept Push")), *s3.meta_fields()) # Field configuration table.uuid.label = "UUID" table.uuid.readable = True table.uuid.writable = True table.name.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Repository Name"), T("Name of the repository (for you own reference)"))) table.url.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Repository Base URL"), T("Base URL of the remote Sahana Eden instance including application path, e.g. http://www.example.org/eden"))) table.proxy.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Proxy Server URL"), T("URL of the proxy server to connect to the repository (leave empty for default proxy)"))) table.username.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Username"), T("Username to use for authentication at the remote site."))) table.password.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Password"), T("Password to use for authentication at the remote site."))) table.uuid.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Repository UUID"), T("Identifier which the repository identifies itself with when sending synchronization requests."))) table.accept_push.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Accept Push"), T("Accept unsolicited data transmissions from the repository."))) # CRUD Strings ADD_REPOSITORY = T("Add Repository") s3.crud_strings[tablename] = Storage( title_create = ADD_REPOSITORY, title_display = T("Repository Configuration"), title_list = T("Repositories"), title_update = T("Edit Repository Configuration"), title_search = T("Search for Repository"), subtitle_create = T("Add Repository"), subtitle_list = T("Currently Configured Repositories"), label_list_button = T("List Repositories"), label_create_button = ADD_REPOSITORY, msg_record_created = T("Repository configured"), msg_record_modified = T("Repository configuration updated"), msg_record_deleted = T("Repository configuration deleted"), msg_list_empty = T("No repositories configured")) # Resource Configuration configure(tablename, list_fields=["name", "uuid", "accept_push", (T("Last Synchronization"), "last_sync_time") ], onaccept=self.sync_repository_onaccept, ondelete=self.sync_repository_ondelete, create_next=URL(c="sync", f="repository", args=["[id]", "task"]), update_next=URL(c="sync", f="repository", args=["[id]"])) table.virtualfields.append(SyncRepositoryVirtualFields()) set_method(tablename, method="now", action=sync_now) # Reusable Fields repository_id = S3ReusableField("repository_id", table, requires = IS_ONE_OF(db, "sync_repository.id", "%(name)s"), represent = self.sync_repository_represent, label = T("Repository")) # Components add_component("sync_task", sync_repository="repository_id") add_component("sync_log", sync_repository="repository_id") add_component("sync_conflict", sync_repository="repository_id") add_component(S3Task.TASK_TABLENAME, sync_repository=dict(name="job", joinby="repository_id", link="sync_job", key="scheduler_task_id", actuate="replace")) # ------------------------------------------------------------------------- # Task # ------------------------------------------------------------------------- # Synchronization mode sync_mode = { 1: T("pull"), # pull only 2: T("push"), # push only 3: T("pull and push"), # pull & push 4: T("none") # do not synchronize this resource } # Strategy (allowed import methods) sync_strategy = S3ImportItem.METHOD sync_strategy_represent = lambda opt: opt and \ ", ".join([o for o in sync_strategy.values() if o in opt]) or NONE # Update method sync_update_method = { 1: T("update"), # update the existing record 2: T("replace"), # replace the existing record } # Update/conflict resolution policy sync_policies = S3ImportItem.POLICY sync_policy = { sync_policies.OTHER: T("always update"), sync_policies.NEWER: T("update if newer"), sync_policies.MASTER: T("update if master"), sync_policies.THIS: T("never update") } sync_policy_represent = lambda opt: \ opt and sync_policy.get(opt, UNKNOWN_OPT) or NONE tablename = "sync_task" table = define_table(tablename, Field("resource_name", notnull=True), repository_id(), Field("last_sync", "datetime", readable=True, writable=False, update="", label=T("Last synchronized on")), Field("mode", "integer", requires = IS_IN_SET(sync_mode, zero=None), default = 3, label = T("Mode"), represent = lambda opt: \ sync_mode.get(opt, NONE)), Field("strategy", "list:string", requires = IS_IN_SET(sync_strategy.values(), multiple=True, zero=None), default = sync_strategy.values(), label = T("Strategy"), represent = sync_strategy_represent, widget = CheckboxesWidgetS3.widget), Field("update_method", "integer", # hide while not implemented readable=False, writable=False, requires = IS_IN_SET(sync_update_method, zero=None), default = 1, label = T("Update Method"), represent = lambda opt: \ sync_update_method.get(opt, NONE)), Field("update_policy", requires = IS_IN_SET(sync_policies, zero=None), default = sync_policies.NEWER, label = T("Update Policy"), represent = sync_policy_represent), Field("conflict_policy", requires = IS_IN_SET(sync_policies, zero=None), default = sync_policies.NEWER, label = T("Conflict Policy"), represent = sync_policy_represent), *s3.meta_fields()) # Field configuration table.resource_name.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Resource Name"), T("Table name of the resource to synchronize"))) table.mode.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Synchronization mode"), T("How data shall be transferred"))) table.strategy.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Strategy"), T("Which methods to apply when importing data to the local repository"))) table.update_method.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Update Method"), T("How local records shall be updated"))) table.update_policy.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Update Policy"), T("Under which conditions local records shall be updated"))) table.conflict_policy.comment = DIV(_class="tooltip", _title="%s|%s" % ( T("Conflict policy"), T("Under which condition a local record shall be updated if it also has been modified locally since the last synchronization"))) # CRUD Strings ADD_TASK = T("Add Resource") s3.crud_strings[tablename] = Storage( title_create = ADD_TASK, title_display = T("Resource Configuration"), title_list = T("Resources"), title_update = T("Edit Resource Configuration"), title_search = T("Search for Resource"), subtitle_create = ADD_TASK, subtitle_list = T("Currently Configured Resources"), label_list_button = T("List Resources"), label_create_button = ADD_TASK, msg_record_created = T("Resource configured"), msg_record_modified = T("Resource configuration updated"), msg_record_deleted = T("Resource configuration deleted"), msg_list_empty = T("No resources configured yet")) # Resource Configuration configure(tablename, create_onvalidation=self.sync_task_onvalidation) # ------------------------------------------------------------------------- # Job # ------------------------------------------------------------------------- tablename = "sync_job" table = define_table(tablename, repository_id(), scheduler_task_id()) # CRUD Strings ADD_JOB = T("Add Job") s3.crud_strings[tablename] = Storage( title_create = ADD_JOB, title_display = T("Synchronization Job"), title_list = T("Synchronization Schedule"), title_update = T("Edit Job"), title_search = T("Search for Job"), subtitle_create = ADD_JOB, subtitle_list = T("Currently Configured Jobs"), label_list_button = T("List Jobs"), label_create_button = ADD_JOB, msg_record_created = T("Job added"), msg_record_modified = T("Job updated updated"), msg_record_deleted = T("Job deleted"), msg_list_empty = T("No jobs configured yet"), msg_no_match = T("No jobs configured")) # Resource Configuration set_method(tablename, component_name="job", method="reset", action=sync_job_reset) # ------------------------------------------------------------------------- # Conflicts # ------------------------------------------------------------------------- # @todo: implement table tablename = "sync_conflict" table = define_table(tablename, repository_id(), Field("dummy")) # Field configuration? # CRUD Strings? # Resource Configuration configure(tablename, insertable=False, editable=False) # Reusable Fields? # Components? # ------------------------------------------------------------------------- # Log # ------------------------------------------------------------------------- tablename = "sync_log" table = define_table(tablename, Field("timestmp", "datetime", represent=s3_datetime_represent, label=T("Date/Time")), repository_id(), Field("resource_name"), # Synchronization mode: PULL/PUSH, IN/OUT Field("mode"), Field("action"), Field("result"), Field("remote", "boolean", default=False, label=T("Remote Error"), represent=lambda opt: opt and T("yes") or ("no")), Field("message", "text"), *s3.meta_fields()) # CRUD Strings s3.crud_strings[tablename] = Storage( title_display = T("Log Entry"), title_list = T("Synchronization Log"), subtitle_list = T("Synchronization Log"), label_list_button = T("List All Entries"), msg_record_deleted = T("Log Entry Deleted"), msg_list_empty = T("No entries found"), msg_no_match = T("No entries found")) # Resource Configuration configure(tablename, editable=False, insertable=False, deletable=True, orderby=~table.timestmp) # --------------------------------------------------------------------- # Return global names to s3db # return Storage() # ------------------------------------------------------------------------- def defaults(self): """ Safe defaults if module is disabled """ return Storage() # ------------------------------------------------------------------------- @staticmethod def sync_repository_represent(rid): """ Repository representation """ db = current.db s3db = current.s3db NONE = current.messages.NONE rtable = s3db.sync_repository repository = db(rtable.id == rid).select(rtable.name, limitby=(0, 1)).first() if repository: return repository.name else: return NONE # ------------------------------------------------------------------------- @staticmethod def sync_repository_ondelete(row): """ Cleanup after repository deletion @todo: use standard delete cascade """ db = current.db s3db = current.s3db # Delete all resources in this repository rtable = s3db.sync_resource db(rtable.repository_id == row.id).update(deleted=True) # Delete all jobs for this repository # @todo: remove scheduler_task entry as well jtable = s3db.sync_job db(jtable.repository_id == row.id).update(deleted=True) # Delete all pending conflicts of this repository ctable = s3db.sync_conflict db(ctable.repository_id == row.id).delete() # Delete all log entries for this repository ltable = s3db.sync_log db(ltable.repository_id == row.id).delete() return # ------------------------------------------------------------------------- @staticmethod def sync_repository_onaccept(form): """ Send registration request to the peer """ T = current.T db = current.db s3db = current.s3db sync = current.manager.sync response = current.response try: repository_id = form.vars.id except: return if repository_id: rtable = s3db.sync_repository query = rtable.id == repository_id repository = db(query).select(limitby=(0, 1)).first() if repository and repository.url: success = sync.request_registration(repository) if not success: response.warning = T("Could not auto-register at the repository, please register manually.") else: response.confirmation = T("Successfully registered at the repository.") return # ------------------------------------------------------------------------- @staticmethod def sync_task_onvalidation(form): """ Task record validation """ db = current.db s3db = current.s3db request = current.request repository_id = form.vars.repository_id or \ request.post_vars.repository_id resource_name = form.vars.resource_name if repository_id and resource_name: ttable = s3db.sync_task query = (ttable.repository_id == repository_id) & \ (ttable.resource_name == resource_name) & \ (ttable.deleted != True) row = db(query).select(ttable.id, limitby=(0, 1)).first() if row: form.errors.resource_name = \ T("This resource is already configured for this repository") # ============================================================================= class SyncRepositoryVirtualFields: """ Repository virtual fields """ def last_sync_time(self): """ Last synchronization date/time for this repository """ T = current.T db = current.db s3db = current.s3db s3_datetime_represent = lambda dt: \ S3DateTime.datetime_represent(dt, utc=True) table = s3db.sync_task query = table.repository_id == self.sync_repository.id task = db(query).select(orderby=~table.last_sync, limitby=(0,1)).first() if task: return s3_datetime_represent(task.last_sync) else: return T("never") # ----------------------------------------------------------------------------- def sync_rheader(r, tabs=[]): """ Synchronization resource headers """ T = current.T if r.representation == "html": if r.tablename == "sync_repository": repository = r.record if r.component and r.component_name=="log" and not r.component_id: purge_log = A(T("Remove all log entries"), _href=r.url(method="delete")) else: purge_log = "" if repository: if repository.url: tabs.append((T("Manual Synchronization"), "now")) rheader_tabs = s3_rheader_tabs(r, tabs) rheader = DIV(TABLE( TR(TH("%s: " % T("Name")), repository.name, TH(""), purge_log), TR(TH("URL: "), repository.url, TH(""), ""), ), rheader_tabs) return rheader return None # ------------------------------------------------------------------------- def sync_job_reset(r, **attr): """ RESTful method to reset a job status from FAILED to QUEUED, for "Reset" action button """ session = current.session if r.interactive: if r.component and r.component.alias == "job": job_id = r.component_id if job_id: S3Task.reset(job_id) session.confirmation = T("Job reactivated") r.component_id = None redirect(r.url(method="")) # ----------------------------------------------------------------------------- def sync_now(r, **attr): """ Manual synchronization of a repository """ T = current.T manager = current.manager response = current.response session = current.session auth = current.auth rheader = attr.get("rheader", None) if rheader: rheader = rheader(r) output = dict(title=T("Manual Synchronization"), rheader=rheader) s3task = current.s3task sync = S3Sync() if r.interactive: if r.http in ("GET", "POST"): repository = r.record if not repository: r.error(404, manager.ERROR.BAD_RECORD) form = FORM(TABLE( TR(TD(T("Click 'Start' to synchronize with this repository now:"))), TR(TD(INPUT(_type="submit", _value=T("Start")))))) if form.accepts(r.post_vars, session): task_id = s3task.async("sync_synchronize", args = [repository.id], vars = dict(user_id=auth.user.id, manual=True)) if task_id is False: response.error = T("Could not initiate manual synchronization.") elif task_id is None: response.flash = T("Manual synchronization completed.") else: sync.set_status(manual=True) response.flash = T("Manual synchronization started in the background.") else: r.error(405, manager.ERROR.BAD_METHOD) else: r.error(501, manager.ERROR.BAD_FORMAT) status = sync.get_status() if status.running: output.update(form=T("Synchronization currently active - refresh page to update status.")) elif not status.manual: output.update(form=form) else: output.update(form=T("Manual synchronization scheduled - refresh page to update status.")) response.view = "update.html" return output # END =========================================================================

42.88764

259

0.442789

547588c9f5a63bbe8cc0f6d233c6c83960dfbfaf

756

py

Python

DataWrangling/insert.py

aguijarro/DataSciencePython

cb8725947da647b28e40ec9f2149606268f07577

[ "MIT" ]

null

DataWrangling/insert.py

aguijarro/DataSciencePython

cb8725947da647b28e40ec9f2149606268f07577

[ "MIT" ]

null

DataWrangling/insert.py

aguijarro/DataSciencePython

cb8725947da647b28e40ec9f2149606268f07577

[ "MIT" ]

null

#!/usr/bin/env python """ Add a single line of code to the insert_autos function that will insert the automobile data into the 'autos' collection. The data variable that is returned from the process_file function is a list of dictionaries, as in the example in the previous video. """ from autos import process_file def insert_autos(infile, db): data = process_file(infile) # Add your code here. Insert the data in one command. for d in data: db.autos.insert(d) if __name__ == "__main__": # Code here is for local use on your own computer. from pymongo import MongoClient client = MongoClient("mongodb://localhost:27017") db = client.examples insert_autos('autos-small.csv', db) print (db.autos.find_one())

29.076923

76

0.718254

276ee023892a08d37a18226b741630234c7ba565

8,576

py

Python

tools/wave/network/api/results_api_handler.py

cta-wave/dpctf-test-runner

9c6a856dd73d97f7efaa3a4b97e0f5978f916dd2

[ "BSD-3-Clause" ]

1

2021-06-07T12:19:31.000Z

tools/wave/network/api/results_api_handler.py

cta-wave/dpctf-test-runner

9c6a856dd73d97f7efaa3a4b97e0f5978f916dd2

[ "BSD-3-Clause" ]

21

2021-03-31T19:48:22.000Z

2022-03-12T00:24:53.000Z

tools/wave/network/api/results_api_handler.py

cta-wave/dpctf-test-runner

9c6a856dd73d97f7efaa3a4b97e0f5978f916dd2

[ "BSD-3-Clause" ]

1

2020-07-17T13:06:00.000Z

from __future__ import absolute_import from __future__ import unicode_literals import json from .api_handler import ApiHandler from ...data.exceptions.duplicate_exception import DuplicateException from ...data.exceptions.invalid_data_exception import InvalidDataException class ResultsApiHandler(ApiHandler): def __init__(self, results_manager, session_manager, web_root): super(ResultsApiHandler, self).__init__(web_root) self._results_manager = results_manager self._sessions_manager = session_manager def create_result(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] data = None body = request.body.decode("utf-8") if body != "": data = json.loads(body) self._results_manager.create_result(token, data) except Exception: self.handle_exception("Failed to create result") response.status = 500 def read_results(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] session = self._sessions_manager.read_session(token) if session is None: response.status = 404 return results = self._results_manager.read_results(token) self.send_json(response=response, data=results) except Exception: self.handle_exception("Failed to read results") response.status = 500 def read_results_compact(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] results = self._results_manager.read_flattened_results(token) self.send_json(response=response, data=results) except Exception: self.handle_exception("Failed to read compact results") response.status = 500 def read_results_api_wpt_report_url(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] api = uri_parts[3] uri = self._results_manager.read_results_wpt_report_uri(token, api) self.send_json({"uri": uri}, response) except Exception: self.handle_exception("Failed to read results report url") response.status = 500 def read_results_api_wpt_multi_report_uri(self, request, response): try: uri_parts = self.parse_uri(request) api = uri_parts[3] query = self.parse_query_parameters(request) tokens = query["tokens"].split(",") uri = self._results_manager.read_results_wpt_multi_report_uri( tokens, api ) self.send_json({"uri": uri}, response) except Exception: self.handle_exception("Failed to read results multi report url") response.status = 500 def download_results_api_json(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] api = uri_parts[3] blob = self._results_manager.export_results_api_json(token, api) if blob is None: response.status = 404 return file_path = self._results_manager.get_json_path(token, api) file_name = "{}-{}-{}".format( token.split("-")[0], api, file_path.split("/")[-1] ) self.send_zip(blob, file_name, response) except Exception: self.handle_exception("Failed to download api json") response.status = 500 def import_results_api_json(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] api = uri_parts[3] blob = request.body self._results_manager.import_results_api_json(token, api, blob) response.status = 200 except Exception: self.handle_exception("Failed to upload api json") response.status = 500 def download_results_all_api_jsons(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] blob = self._results_manager.export_results_all_api_jsons(token) file_name = token.split("-")[0] + "_results_json.zip" self.send_zip(blob, file_name, response) except Exception: self.handle_exception("Failed to download all api jsons") response.status = 500 def download_results(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] blob = self._results_manager.export_results(token) if blob is None: response.status = 404 return file_name = token + ".zip" self.send_zip(blob, file_name, response) except Exception: self.handle_exception("Failed to download results") response.status = 500 def download_results_overview(self, request, response): try: uri_parts = self.parse_uri(request) token = uri_parts[2] blob = self._results_manager.export_results_overview(token) if blob is None: response.status = 404 return file_name = token.split("-")[0] + "_results_html.zip" self.send_zip(blob, file_name, response) except Exception: self.handle_exception("Failed to download results overview") response.status = 500 def import_results(self, request, response): try: blob = request.body token = self._results_manager.import_results(blob) self.send_json({"token": token}, response) except DuplicateException: self.handle_exception("Failed to import results") self.send_json({"error": "Session already exists!"}, response, 400) return except InvalidDataException: self.handle_exception("Failed to import results") self.send_json({"error": "Invalid input data!"}, response, 400) return except Exception: self.handle_exception("Failed to import results") response.status = 500 def handle_request(self, request, response): method = request.method uri_parts = self.parse_uri(request) # /api/results/<token> if len(uri_parts) == 3: if method == "POST": if uri_parts[2] == "import": self.import_results(request, response) return self.create_result(request, response) return if method == "GET": self.read_results(request, response) return # /api/results/<token>/<function> if len(uri_parts) == 4: function = uri_parts[3] if method == "GET": if function == "compact": self.read_results_compact(request, response) return if function == "reporturl": return self.read_results_api_wpt_multi_report_uri(request, response) if function == "json": self.download_results_all_api_jsons(request, response) return if function == "export": self.download_results(request, response) return if function == "overview": self.download_results_overview(request, response) return # /api/results/<token>/<api>/<function> if len(uri_parts) == 5: function = uri_parts[4] if method == "GET": if function == "reporturl": self.read_results_api_wpt_report_url(request, response) return if function == "json": self.download_results_api_json(request, response) return if method == "POST": if function == "json": self.import_results_api_json(request, response) return response.status = 404

36.806867

79

0.570079

983e401fc8efc6f7bcac566339b839313dd35731

1,233

py

Python

src/party3rd/network.py

yaroslavNikolaev/A.R.M.O.R.

443b50ad39b7ada7562db62c36824c7c4edb842b

[ "MIT" ]

1

2020-03-29T20:53:28.000Z

src/party3rd/network.py

yaroslavNikolaev/A.R.M.O.R.

443b50ad39b7ada7562db62c36824c7c4edb842b

[ "MIT" ]

null

src/party3rd/network.py

yaroslavNikolaev/A.R.M.O.R.

443b50ad39b7ada7562db62c36824c7c4edb842b

[ "MIT" ]

null

from utils.collectors import GitHubVersionCollector from utils.configuration import Configuration class NginxVersionCollector(GitHubVersionCollector): owner = "nginx" repo = "nginx" @staticmethod def get_application_name() -> str: return "nginx" def __init__(self, config: Configuration): super().__init__(config, self.owner, self.repo) class CalicoVersionCollector(GitHubVersionCollector): owner = "projectcalico" repo = "calico" @staticmethod def get_application_name() -> str: return "calico" def __init__(self, config: Configuration): super().__init__(config, self.owner, self.repo) class HaproxyVersionCollector(GitHubVersionCollector): owner = "haproxy" repo = "haproxy" @staticmethod def get_application_name() -> str: return "haproxy" def __init__(self, config: Configuration): super().__init__(config, self.owner, self.repo) class IstioVersionCollector(GitHubVersionCollector): owner = "istio" repo = "istio" @staticmethod def get_application_name() -> str: return "istio" def __init__(self, config: Configuration): super().__init__(config, self.owner, self.repo)

24.176471

55

0.690187

a3375b08a97f7e5614a265191c300d9fcded5f00

6,038

py

Python

automated_testing/plotting_functions.py

yT0n1/D3MEAP-Projekt

138a10da2eba7b57d79a7b051f687652c1e05f86

[ "BSD-Source-Code" ]

null

automated_testing/plotting_functions.py

yT0n1/D3MEAP-Projekt

138a10da2eba7b57d79a7b051f687652c1e05f86

[ "BSD-Source-Code" ]

null

automated_testing/plotting_functions.py

yT0n1/D3MEAP-Projekt

138a10da2eba7b57d79a7b051f687652c1e05f86

[ "BSD-Source-Code" ]

null

import math import matplotlib.pyplot as plt import numpy as np """ Plotting Functions: This file includes all plotting variants used in the automated testing """ def plot_data(df, min_nodes, max_nodes, problems, squeezed): problem_hardness = [] for problem in problems: problem_hardness.append(sum(problem.param_fragment_size)) avg_problem_hardness = np.mean(problem_hardness) y_axises = ['time', 'deviation', 'space'] for y_axis in y_axises: fig, ax = plt.subplots() ax.set(xlabel='Node Count', ylabel=y_axis, title=f'Average {y_axis} per node count') if y_axis == 'space': for node_count in range(min_nodes,max_nodes+1): df = df.append({'algo':'Total Replication', 'space':(avg_problem_hardness*node_count), 'nodes':node_count, 'time':0, 'deviation':0, 'total_replication':0}, ignore_index=True) plot_group = df.groupby(['algo', 'nodes'], as_index=False)[y_axis].mean().groupby('algo') for name, group in plot_group: group.plot(x='nodes', y=y_axis, label=name, ax=ax) plt.xticks([i for i in range(min_nodes, max_nodes + 1)]) plt.show() df = df[df.algo != "Total Replication"] deviation = ((df.groupby('algo').mean() / df.groupby('algo').mean().loc['Complete']) - 1) * 100 deviation = deviation.drop(columns=['nodes']) if squeezed: deviation = deviation.drop(columns=['deviation']) fig, ax = plt.subplots() deviation.plot.bar(ax=ax) ax.set(xlabel='Split Strategies', ylabel='%', title='%-Deviation from optimum Complete Split Strategy') plt.show() def plot_heu_vs_opt(df, min_nodes, max_nodes, problems, squeezes): problem_hardness = [] for problem in problems: problem_hardness.append(sum(problem.param_fragment_size)) avg_problem_hardness = np.mean(problem_hardness) y_axises = ['time', 'deviation', 'space'] for y_axis in y_axises: fig, ax = plt.subplots() ax.set(xlabel='Node Count', ylabel=y_axis, title=f'Average {y_axis} per node count') if y_axis == 'space': for node_count in range(min_nodes, max_nodes + 1): df = df.append( {'algo': 'Total Replication', 'space': (avg_problem_hardness * node_count), 'nodes': node_count, 'time': 0, 'deviation': 0, 'total_replication': 0}, ignore_index=True) plot_group = df.groupby(['algo', 'nodes'], as_index=False)[y_axis].mean().groupby('algo') for name, group in plot_group: group.plot(x='nodes', y=y_axis, label=name, ax=ax) plt.xticks([i for i in range(min_nodes, max_nodes + 1)]) plt.show() df = df[df.algo != "Total Replication"] deviation = ((df.groupby('algo').mean() / df.groupby('algo').mean().loc['Complete']) - 1) * 100 deviation = deviation.drop(index=['Complete']) deviation = deviation.drop(columns=['nodes', 'total_replication']) if not squeezes: deviation = deviation.drop(columns=[ 'deviation']) fig, ax = plt.subplots() deviation.plot.bar(ax=ax) ax.set(xlabel='Split Strategies', ylabel='%', title='%-Difference from optimum complete split') plt.show() def plot_data_pareto(df): plot_group = df.groupby(['algo', 'epsilon'], as_index=False).mean() for algo in plot_group['algo'].unique(): fig, axs = plt.subplots(1, 3, figsize=(10, 3)) axs[0].set(xlabel='Space', ylabel='Deviation', title=f'Space / Deviation for {algo}') color = plot_group[plot_group.algo == algo]['epsilon'].apply(lambda x: math.log(x, 10)) plot_group[plot_group.algo == algo].plot.scatter(x='space', y='deviation', ax=axs[0], colormap='cool', c=color) axs[1].set(xlabel='Space', ylabel='Deviation', title=f'Time / Deviation for {algo}') plot_group[plot_group.algo == algo].plot.scatter(x='time', y='deviation', ax=axs[1], colormap='cool', c=color) axs[2].set(xlabel='Space', ylabel='Deviation', title=f'Space / Time for {algo}') plot_group[plot_group.algo == algo].plot.scatter(x='time', y='space', ax=axs[2], colormap='cool', c=color) plt.tight_layout() plt.show() def plot_data_timeout(df): plot_group = df.groupby(['algo', 'timeout'], as_index=False).mean() for algo in plot_group['algo'].unique(): fig, axs = plt.subplots(1, 3, figsize=(10, 3)) axs[0].set(xlabel='Timeout', ylabel='Space', title='Space / Timeout Relation') plot_group[plot_group.algo == algo].plot.scatter(x='timeout', y='space', ax=axs[0]) axs[1].set(xlabel='Timeout', ylabel='Time', title='Time / Timeout Relation') plot_group[plot_group.algo == algo].plot.scatter(x='timeout', y='time', ax=axs[1]) axs[2].set(xlabel='Timeout', ylabel='Deviation', title='Deviation / Timeout Relation') plot_group[plot_group.algo == algo].plot.scatter(x='timeout', y='deviation', ax=axs[2]) plt.tight_layout() plt.show()

51.169492

190

0.525836

79440c1684e8cd9185325689d9bdc263f9f75510

5,304

py

Python

jtop/core/tegrastats.py

alx/jetson_stats

a55d5d67bf268bb47fe75a9a0b15598e99bfe9ea

[ "MIT" ]

null

jtop/core/tegrastats.py

alx/jetson_stats

a55d5d67bf268bb47fe75a9a0b15598e99bfe9ea

[ "MIT" ]

null

jtop/core/tegrastats.py

alx/jetson_stats

a55d5d67bf268bb47fe75a9a0b15598e99bfe9ea

[ "MIT" ]

null

# -*- coding: UTF-8 -*- # Copyright (C) 2019, Raffaello Bonghi <raffaello@rnext.it> # All rights reserved # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # 3. Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND # CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, # BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; # OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, # WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE # OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, # EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # Logging import logging # Launch command import subprocess as sp # Threading from threading import Thread # Tegrastats parser from .tegra_parse import VALS, MTS, RAM, SWAP, IRAM, CPUS, TEMPS, VOLTS # Create logger for jplotlib logger = logging.getLogger(__name__) class Tegrastats(Thread): """ - Subprocess read: https://stackoverflow.com/questions/375427/non-blocking-read-on-a-subprocess-pipe-in-python/4896288#4896288 - Property https://www.programiz.com/python-programming/property """ class TegrastatsException(Exception): pass def __init__(self, path, interval): Thread.__init__(self) # Set interval tegrastats self.interval = interval # Initialize jetson stats self._stats = {} # Start process tegrastats self.path = path # Define Tegrastats process self.p = None # Initialize observer self._observers = set() def run(self): try: while self.p.poll() is None: out = self.p.stdout if out is not None: # Read line process output line = out.readline() # Decode line in UTF-8 tegrastats_data = line.decode("utf-8") # Decode and store self._stats = self._decode(tegrastats_data) # Notifiy all observers for observer in self._observers: observer.update(self._stats) except SystemExit: logger.error("System exit", exc_info=True) except AttributeError: logger.error("Attribute error", exc_info=True) @property def stats(self): # Return dictionary parsed return self._stats def attach(self, observer): self._observers.add(observer) def detach(self, observer): self._observers.discard(observer) def open(self, callback=None): try: # Launch subprocess or raise and exception self.p = sp.Popen([self.path, '--interval', str(self.interval)], stdout=sp.PIPE) # Start himself like file self.daemon = True self.start() # Wait first value not empty while not self._stats: pass # If callback is defined after each decode will be send the updates by function if callback is not None: self.attach(callback) return True except OSError: logger.error("Tegrastats not in list!") raise Tegrastats.TegrastatsException("Tegrastats is not available on this hardware") return False def close(self): if self.p is not None: self.p.kill() return True else: return False def __enter__(self): self.open() return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() def _decode(self, text): # Find and parse all single values stats = VALS(text) # Parse if exist MTS mts = MTS(text) if mts: stats['MTS'] = mts # Parse RAM stats['RAM'] = RAM(text) # If exists parse SWAP swap = SWAP(text) if swap: stats['SWAP'] = swap # If exists parse IRAM iram = IRAM(text) if iram: stats['IRAM'] = iram # Parse CPU status stats['CPU'] = CPUS(text) # Parse temperatures stats['TEMP'] = TEMPS(text) # Parse voltages stats['VOLT'] = VOLTS(text) return stats # EOF

34.219355

115

0.625

47471bf5dca6e5e15b2c531b34a263f4083063a8

435

py

Python

S1/TP5/ex7.py

HerbeMalveillante/ecole

bebbc73cd678c58c9cd40389ea1cf229a0200308

[ "MIT" ]

null

S1/TP5/ex7.py

HerbeMalveillante/ecole

bebbc73cd678c58c9cd40389ea1cf229a0200308

[ "MIT" ]

null

S1/TP5/ex7.py

HerbeMalveillante/ecole

bebbc73cd678c58c9cd40389ea1cf229a0200308

[ "MIT" ]

null

import random def cree(n): return [random.randint(0, 20) for i in range(n)] def apparitions(x, lis): return [indice for indice, item in enumerate(lis) if item == x] entiers = int(input("Saisir le nombre d'entiers de la liste : ")) liste = cree(entiers) print(f"Liste : {liste}") entierRecherche = int(input("Saisir l'entier recherché : ")) print(f"Liste des indices d'apparition : {apparitions(entierRecherche, liste)}")

25.588235

80

0.698851

2004322087704bee1d0827c88ebc9164c562bb3d

688

py

Python

nightcrawler/apps/services/management/commands/script.py

alchucam/nightcrawler

e2c29c6b6b35b5090b3e5e9e11e477a5ad07fd46

[ "Apache-2.0" ]

null

nightcrawler/apps/services/management/commands/script.py

alchucam/nightcrawler

e2c29c6b6b35b5090b3e5e9e11e477a5ad07fd46

[ "Apache-2.0" ]

2

2020-06-05T18:19:00.000Z

2021-06-10T20:20:54.000Z

nightcrawler/apps/services/management/commands/script.py

alchucam/nightcrawler

e2c29c6b6b35b5090b3e5e9e11e477a5ad07fd46

[ "Apache-2.0" ]

1

2018-12-04T06:30:09.000Z

from django.core.management.base import BaseCommand, CommandError from nightcrawler.apps.services.updater import * class Command(BaseCommand): help = 'update to models for display and analysis' def handle(self, *args, **options): print("Start periodic tasks") nytimesUpdater().save_to_models() yonhapUpdater().save_to_models() ecnsUpdater().save_to_models() japantimesUpdater().save_to_models() nytimesUpdater().save_to_analysis() yonhapUpdater().save_to_analysis() ecnsUpdater().save_to_analysis() japantimesUpdater().save_to_analysis() print("Finish periodic tasks") #for periodic schedule task

34.4

65

0.703488

fc8cc1440b9028bcd0cd317e094f1e3ca99a128a

71,494

py

Python

modules/java/generator/gen_java.py

ev3dev/opencv

781edd9001a85f259f2c10d6c2b70204eb221e70

[ "BSD-3-Clause" ]

20

2016-12-14T06:11:12.000Z

2018-10-24T20:09:47.000Z

modules/java/generator/gen_java.py

ev3dev/opencv

781edd9001a85f259f2c10d6c2b70204eb221e70

[ "BSD-3-Clause" ]

28

2016-10-16T19:42:37.000Z

2018-09-14T21:29:48.000Z

modules/java/generator/gen_java.py

ev3dev/opencv

781edd9001a85f259f2c10d6c2b70204eb221e70

[ "BSD-3-Clause" ]

29

2016-11-24T21:49:36.000Z

2019-07-12T20:36:58.000Z

#!/usr/bin/env python import sys, re, os.path import logging from pprint import pformat from string import Template if sys.version_info[0] >= 3: from io import StringIO else: from cStringIO import StringIO class_ignore_list = ( #core "FileNode", "FileStorage", "KDTree", "KeyPoint", "DMatch", #features2d "SimpleBlobDetector" ) const_ignore_list = ( "CV_CAP_OPENNI", "CV_CAP_PROP_OPENNI_", "CV_CAP_INTELPERC", "CV_CAP_PROP_INTELPERC_" "WINDOW_AUTOSIZE", "CV_WND_PROP_", "CV_WINDOW_", "CV_EVENT_", "CV_GUI_", "CV_PUSH_BUTTON", "CV_CHECKBOX", "CV_RADIOBOX", #attention! #the following constants are added to this list using code automatic generation #TODO: should be checked "CV_CAP_ANY", "CV_CAP_MIL", "CV_CAP_VFW", "CV_CAP_V4L", "CV_CAP_V4L2", "CV_CAP_FIREWARE", "CV_CAP_FIREWIRE", "CV_CAP_IEEE1394", "CV_CAP_DC1394", "CV_CAP_CMU1394", "CV_CAP_STEREO", "CV_CAP_TYZX", "CV_TYZX_LEFT", "CV_TYZX_RIGHT", "CV_TYZX_COLOR", "CV_TYZX_Z", "CV_CAP_QT", "CV_CAP_UNICAP", "CV_CAP_DSHOW", "CV_CAP_PVAPI", "CV_CAP_PROP_DC1394_OFF", "CV_CAP_PROP_DC1394_MODE_MANUAL", "CV_CAP_PROP_DC1394_MODE_AUTO", "CV_CAP_PROP_DC1394_MODE_ONE_PUSH_AUTO", "CV_CAP_PROP_POS_MSEC", "CV_CAP_PROP_POS_FRAMES", "CV_CAP_PROP_POS_AVI_RATIO", "CV_CAP_PROP_FPS", "CV_CAP_PROP_FOURCC", "CV_CAP_PROP_FRAME_COUNT", "CV_CAP_PROP_FORMAT", "CV_CAP_PROP_MODE", "CV_CAP_PROP_BRIGHTNESS", "CV_CAP_PROP_CONTRAST", "CV_CAP_PROP_SATURATION", "CV_CAP_PROP_HUE", "CV_CAP_PROP_GAIN", "CV_CAP_PROP_EXPOSURE", "CV_CAP_PROP_CONVERT_RGB", "CV_CAP_PROP_WHITE_BALANCE_BLUE_U", "CV_CAP_PROP_RECTIFICATION", "CV_CAP_PROP_MONOCHROME", "CV_CAP_PROP_SHARPNESS", "CV_CAP_PROP_AUTO_EXPOSURE", "CV_CAP_PROP_GAMMA", "CV_CAP_PROP_TEMPERATURE", "CV_CAP_PROP_TRIGGER", "CV_CAP_PROP_TRIGGER_DELAY", "CV_CAP_PROP_WHITE_BALANCE_RED_V", "CV_CAP_PROP_MAX_DC1394", "CV_CAP_GSTREAMER_QUEUE_LENGTH", "CV_CAP_PROP_PVAPI_MULTICASTIP", "CV_CAP_PROP_SUPPORTED_PREVIEW_SIZES_STRING", "EVENT_.*", "CV_L?(BGRA?|RGBA?|GRAY|XYZ|YCrCb|Luv|Lab|HLS|YUV|HSV)\d*2L?(BGRA?|RGBA?|GRAY|XYZ|YCrCb|Luv|Lab|HLS|YUV|HSV).*", "CV_COLORCVT_MAX", "CV_.*Bayer.*", "CV_YUV420(i|sp|p)2.+", "CV_TM_.+", "CV_FLOODFILL_.+", "CV_ADAPTIVE_THRESH_.+", "WINDOW_.+", "WND_PROP_.+", ) const_private_list = ( "CV_MOP_.+", "CV_INTER_.+", "CV_THRESH_.+", "CV_INPAINT_.+", "CV_RETR_.+", "CV_CHAIN_APPROX_.+", "OPPONENTEXTRACTOR", "GRIDDETECTOR", "PYRAMIDDETECTOR", "DYNAMICDETECTOR", ) # { Module : { public : [[name, val],...], private : [[]...] } } missing_consts = \ { 'Core' : { 'private' : ( ('CV_8U', 0 ), ('CV_8S', 1 ), ('CV_16U', 2 ), ('CV_16S', 3 ), ('CV_32S', 4 ), ('CV_32F', 5 ), ('CV_64F', 6 ), ('CV_USRTYPE1', 7 ), ), # private 'public' : ( ('SVD_MODIFY_A', 1), ('SVD_NO_UV', 2), ('SVD_FULL_UV', 4), ('FILLED', -1), ('REDUCE_SUM', 0), ('REDUCE_AVG', 1), ('REDUCE_MAX', 2), ('REDUCE_MIN', 3), ) #public }, # Core "Imgproc": { 'private' : ( ('IPL_BORDER_CONSTANT', 0 ), ('IPL_BORDER_REPLICATE', 1 ), ('IPL_BORDER_REFLECT', 2 ), ('IPL_BORDER_WRAP', 3 ), ('IPL_BORDER_REFLECT_101', 4 ), ('IPL_BORDER_TRANSPARENT', 5 ), ), # private 'public' : ( ('LINE_AA', 16), ('LINE_8', 8), ('LINE_4', 4), ) #public }, # Imgproc "Calib3d": { 'public' : ( ('CALIB_USE_INTRINSIC_GUESS', '1'), ('CALIB_RECOMPUTE_EXTRINSIC', '2'), ('CALIB_CHECK_COND', '4'), ('CALIB_FIX_SKEW', '8'), ('CALIB_FIX_K1', '16'), ('CALIB_FIX_K2', '32'), ('CALIB_FIX_K3', '64'), ('CALIB_FIX_K4', '128'), ('CALIB_FIX_INTRINSIC', '256') ) }, # Calib3d "Video": { 'private' : ( ('CV_LKFLOW_INITIAL_GUESSES', 4 ), ('CV_LKFLOW_GET_MIN_EIGENVALS', 8 ), ) # private }, # Video } # c_type : { java/jni correspondence } type_dict = { # "simple" : { j_type : "?", jn_type : "?", jni_type : "?", suffix : "?" }, "" : { "j_type" : "", "jn_type" : "long", "jni_type" : "jlong" }, # c-tor ret_type "void" : { "j_type" : "void", "jn_type" : "void", "jni_type" : "void" }, "env" : { "j_type" : "", "jn_type" : "", "jni_type" : "JNIEnv*"}, "cls" : { "j_type" : "", "jn_type" : "", "jni_type" : "jclass"}, "bool" : { "j_type" : "boolean", "jn_type" : "boolean", "jni_type" : "jboolean", "suffix" : "Z" }, "char" : { "j_type" : "char", "jn_type" : "char", "jni_type" : "jchar", "suffix" : "C" }, "int" : { "j_type" : "int", "jn_type" : "int", "jni_type" : "jint", "suffix" : "I" }, "long" : { "j_type" : "int", "jn_type" : "int", "jni_type" : "jint", "suffix" : "I" }, "float" : { "j_type" : "float", "jn_type" : "float", "jni_type" : "jfloat", "suffix" : "F" }, "double" : { "j_type" : "double", "jn_type" : "double", "jni_type" : "jdouble", "suffix" : "D" }, "size_t" : { "j_type" : "long", "jn_type" : "long", "jni_type" : "jlong", "suffix" : "J" }, "__int64" : { "j_type" : "long", "jn_type" : "long", "jni_type" : "jlong", "suffix" : "J" }, "int64" : { "j_type" : "long", "jn_type" : "long", "jni_type" : "jlong", "suffix" : "J" }, "double[]": { "j_type" : "double[]", "jn_type" : "double[]", "jni_type" : "jdoubleArray", "suffix" : "_3D" }, # "complex" : { j_type : "?", jn_args : (("", ""),), jn_name : "", jni_var : "", jni_name : "", "suffix" : "?" }, "vector_Point" : { "j_type" : "MatOfPoint", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Point> %(n)s", "suffix" : "J" }, "vector_Point2f" : { "j_type" : "MatOfPoint2f", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Point2f> %(n)s", "suffix" : "J" }, #"vector_Point2d" : { "j_type" : "MatOfPoint2d", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Point2d> %(n)s", "suffix" : "J" }, "vector_Point3i" : { "j_type" : "MatOfPoint3", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Point3i> %(n)s", "suffix" : "J" }, "vector_Point3f" : { "j_type" : "MatOfPoint3f", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Point3f> %(n)s", "suffix" : "J" }, #"vector_Point3d" : { "j_type" : "MatOfPoint3d", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Point3d> %(n)s", "suffix" : "J" }, "vector_KeyPoint" : { "j_type" : "MatOfKeyPoint", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<KeyPoint> %(n)s", "suffix" : "J" }, "vector_DMatch" : { "j_type" : "MatOfDMatch", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<DMatch> %(n)s", "suffix" : "J" }, "vector_Rect" : { "j_type" : "MatOfRect", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Rect> %(n)s", "suffix" : "J" }, "vector_uchar" : { "j_type" : "MatOfByte", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<uchar> %(n)s", "suffix" : "J" }, "vector_char" : { "j_type" : "MatOfByte", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<char> %(n)s", "suffix" : "J" }, "vector_int" : { "j_type" : "MatOfInt", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<int> %(n)s", "suffix" : "J" }, "vector_float" : { "j_type" : "MatOfFloat", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<float> %(n)s", "suffix" : "J" }, "vector_double" : { "j_type" : "MatOfDouble", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<double> %(n)s", "suffix" : "J" }, "vector_Vec4i" : { "j_type" : "MatOfInt4", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Vec4i> %(n)s", "suffix" : "J" }, "vector_Vec4f" : { "j_type" : "MatOfFloat4", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Vec4f> %(n)s", "suffix" : "J" }, "vector_Vec6f" : { "j_type" : "MatOfFloat6", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Vec6f> %(n)s", "suffix" : "J" }, "vector_Mat" : { "j_type" : "List<Mat>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector<Mat> %(n)s", "suffix" : "J" }, "vector_vector_KeyPoint": { "j_type" : "List<MatOfKeyPoint>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector< std::vector<KeyPoint> > %(n)s" }, "vector_vector_DMatch" : { "j_type" : "List<MatOfDMatch>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector< std::vector<DMatch> > %(n)s" }, "vector_vector_char" : { "j_type" : "List<MatOfByte>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector< std::vector<char> > %(n)s" }, "vector_vector_Point" : { "j_type" : "List<MatOfPoint>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector< std::vector<Point> > %(n)s" }, "vector_vector_Point2f" : { "j_type" : "List<MatOfPoint2f>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector< std::vector<Point2f> > %(n)s" }, "vector_vector_Point3f" : { "j_type" : "List<MatOfPoint3f>", "jn_type" : "long", "jni_type" : "jlong", "jni_var" : "std::vector< std::vector<Point3f> > %(n)s" }, "Mat" : { "j_type" : "Mat", "jn_type" : "long", "jn_args" : (("__int64", ".nativeObj"),), "jni_var" : "Mat& %(n)s = *((Mat*)%(n)s_nativeObj)", "jni_type" : "jlong", #"jni_name" : "*%(n)s", "suffix" : "J" }, "Point" : { "j_type" : "Point", "jn_args" : (("double", ".x"), ("double", ".y")), "jni_var" : "Point %(n)s((int)%(n)s_x, (int)%(n)s_y)", "jni_type" : "jdoubleArray", "suffix" : "DD"}, "Point2f" : { "j_type" : "Point", "jn_args" : (("double", ".x"), ("double", ".y")), "jni_var" : "Point2f %(n)s((float)%(n)s_x, (float)%(n)s_y)", "jni_type" : "jdoubleArray", "suffix" : "DD"}, "Point2d" : { "j_type" : "Point", "jn_args" : (("double", ".x"), ("double", ".y")), "jni_var" : "Point2d %(n)s(%(n)s_x, %(n)s_y)", "jni_type" : "jdoubleArray", "suffix" : "DD"}, "Point3i" : { "j_type" : "Point3", "jn_args" : (("double", ".x"), ("double", ".y"), ("double", ".z")), "jni_var" : "Point3i %(n)s((int)%(n)s_x, (int)%(n)s_y, (int)%(n)s_z)", "jni_type" : "jdoubleArray", "suffix" : "DDD"}, "Point3f" : { "j_type" : "Point3", "jn_args" : (("double", ".x"), ("double", ".y"), ("double", ".z")), "jni_var" : "Point3f %(n)s((float)%(n)s_x, (float)%(n)s_y, (float)%(n)s_z)", "jni_type" : "jdoubleArray", "suffix" : "DDD"}, "Point3d" : { "j_type" : "Point3", "jn_args" : (("double", ".x"), ("double", ".y"), ("double", ".z")), "jni_var" : "Point3d %(n)s(%(n)s_x, %(n)s_y, %(n)s_z)", "jni_type" : "jdoubleArray", "suffix" : "DDD"}, "KeyPoint": { "j_type" : "KeyPoint", "jn_args" : (("float", ".x"), ("float", ".y"), ("float", ".size"), ("float", ".angle"), ("float", ".response"), ("int", ".octave"), ("int", ".class_id")), "jni_var" : "KeyPoint %(n)s(%(n)s_x, %(n)s_y, %(n)s_size, %(n)s_angle, %(n)s_response, %(n)s_octave, %(n)s_class_id)", "jni_type" : "jdoubleArray", "suffix" : "FFFFFII"}, "DMatch" : { "j_type" : "DMatch", "jn_args" : ( ('int', 'queryIdx'), ('int', 'trainIdx'), ('int', 'imgIdx'), ('float', 'distance'), ), "jni_var" : "DMatch %(n)s(%(n)s_queryIdx, %(n)s_trainIdx, %(n)s_imgIdx, %(n)s_distance)", "jni_type" : "jdoubleArray", "suffix" : "IIIF"}, "Rect" : { "j_type" : "Rect", "jn_args" : (("int", ".x"), ("int", ".y"), ("int", ".width"), ("int", ".height")), "jni_var" : "Rect %(n)s(%(n)s_x, %(n)s_y, %(n)s_width, %(n)s_height)", "jni_type" : "jdoubleArray", "suffix" : "IIII"}, "Size" : { "j_type" : "Size", "jn_args" : (("double", ".width"), ("double", ".height")), "jni_var" : "Size %(n)s((int)%(n)s_width, (int)%(n)s_height)", "jni_type" : "jdoubleArray", "suffix" : "DD"}, "Size2f" : { "j_type" : "Size", "jn_args" : (("double", ".width"), ("double", ".height")), "jni_var" : "Size2f %(n)s((float)%(n)s_width, (float)%(n)s_height)", "jni_type" : "jdoubleArray", "suffix" : "DD"}, "RotatedRect": { "j_type" : "RotatedRect", "jn_args" : (("double", ".center.x"), ("double", ".center.y"), ("double", ".size.width"), ("double", ".size.height"), ("double", ".angle")), "jni_var" : "RotatedRect %(n)s(cv::Point2f(%(n)s_center_x, %(n)s_center_y), cv::Size2f(%(n)s_size_width, %(n)s_size_height), %(n)s_angle)", "jni_type" : "jdoubleArray", "suffix" : "DDDDD"}, "Scalar" : { "j_type" : "Scalar", "jn_args" : (("double", ".val[0]"), ("double", ".val[1]"), ("double", ".val[2]"), ("double", ".val[3]")), "jni_var" : "Scalar %(n)s(%(n)s_val0, %(n)s_val1, %(n)s_val2, %(n)s_val3)", "jni_type" : "jdoubleArray", "suffix" : "DDDD"}, "Range" : { "j_type" : "Range", "jn_args" : (("int", ".start"), ("int", ".end")), "jni_var" : "Range %(n)s(%(n)s_start, %(n)s_end)", "jni_type" : "jdoubleArray", "suffix" : "II"}, "CvSlice" : { "j_type" : "Range", "jn_args" : (("int", ".start"), ("int", ".end")), "jni_var" : "Range %(n)s(%(n)s_start, %(n)s_end)", "jni_type" : "jdoubleArray", "suffix" : "II"}, "String" : { "j_type" : "String", "jn_type" : "String", "jni_type" : "jstring", "jni_name" : "n_%(n)s", "jni_var" : 'const char* utf_%(n)s = env->GetStringUTFChars(%(n)s, 0); String n_%(n)s( utf_%(n)s ? utf_%(n)s : "" ); env->ReleaseStringUTFChars(%(n)s, utf_%(n)s)', "suffix" : "Ljava_lang_String_2"}, "c_string": { "j_type" : "String", "jn_type" : "String", "jni_type" : "jstring", "jni_name" : "n_%(n)s.c_str()", "jni_var" : 'const char* utf_%(n)s = env->GetStringUTFChars(%(n)s, 0); String n_%(n)s( utf_%(n)s ? utf_%(n)s : "" ); env->ReleaseStringUTFChars(%(n)s, utf_%(n)s)', "suffix" : "Ljava_lang_String_2"}, "TermCriteria": { "j_type" : "TermCriteria", "jn_args" : (("int", ".type"), ("int", ".maxCount"), ("double", ".epsilon")), "jni_var" : "TermCriteria %(n)s(%(n)s_type, %(n)s_maxCount, %(n)s_epsilon)", "jni_type" : "jdoubleArray", "suffix" : "IID"}, "CvTermCriteria": { "j_type" : "TermCriteria", "jn_args" : (("int", ".type"), ("int", ".maxCount"), ("double", ".epsilon")), "jni_var" : "TermCriteria %(n)s(%(n)s_type, %(n)s_maxCount, %(n)s_epsilon)", "jni_type" : "jdoubleArray", "suffix" : "IID"}, "Vec2d" : { "j_type" : "double[]", "jn_args" : (("double", ".val[0]"), ("double", ".val[1]")), "jn_type" : "double[]", "jni_var" : "Vec2d %(n)s(%(n)s_val0, %(n)s_val1)", "jni_type" : "jdoubleArray", "suffix" : "DD"}, "Vec3d" : { "j_type" : "double[]", "jn_args" : (("double", ".val[0]"), ("double", ".val[1]"), ("double", ".val[2]")), "jn_type" : "double[]", "jni_var" : "Vec3d %(n)s(%(n)s_val0, %(n)s_val1, %(n)s_val2)", "jni_type" : "jdoubleArray", "suffix" : "DDD"}, "Moments" : { "j_type" : "Moments", "jn_args" : (("double", ".m00"), ("double", ".m10"), ("double", ".m01"), ("double", ".m20"), ("double", ".m11"), ("double", ".m02"), ("double", ".m30"), ("double", ".m21"), ("double", ".m12"), ("double", ".m03")), "jni_var" : "Moments %(n)s(%(n)s_m00, %(n)s_m10, %(n)s_m01, %(n)s_m20, %(n)s_m11, %(n)s_m02, %(n)s_m30, %(n)s_m21, %(n)s_m12, %(n)s_m03)", "jni_type" : "jdoubleArray", "suffix" : "DDDDDDDDDD"}, } # { class : { func : {j_code, jn_code, cpp_code} } } ManualFuncs = { 'Core' : { 'minMaxLoc' : { 'j_code' : """ // manual port public static class MinMaxLocResult { public double minVal; public double maxVal; public Point minLoc; public Point maxLoc; public MinMaxLocResult() { minVal=0; maxVal=0; minLoc=new Point(); maxLoc=new Point(); } } // C++: minMaxLoc(Mat src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, InputArray mask=noArray()) //javadoc: minMaxLoc(src, mask) public static MinMaxLocResult minMaxLoc(Mat src, Mat mask) { MinMaxLocResult res = new MinMaxLocResult(); long maskNativeObj=0; if (mask != null) { maskNativeObj=mask.nativeObj; } double resarr[] = n_minMaxLocManual(src.nativeObj, maskNativeObj); res.minVal=resarr[0]; res.maxVal=resarr[1]; res.minLoc.x=resarr[2]; res.minLoc.y=resarr[3]; res.maxLoc.x=resarr[4]; res.maxLoc.y=resarr[5]; return res; } //javadoc: minMaxLoc(src) public static MinMaxLocResult minMaxLoc(Mat src) { return minMaxLoc(src, null); } """, 'jn_code' : """ private static native double[] n_minMaxLocManual(long src_nativeObj, long mask_nativeObj);\n""", 'cpp_code' : """ // C++: minMaxLoc(Mat src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, InputArray mask=noArray()) JNIEXPORT jdoubleArray JNICALL Java_org_opencv_core_Core_n_1minMaxLocManual (JNIEnv*, jclass, jlong, jlong); JNIEXPORT jdoubleArray JNICALL Java_org_opencv_core_Core_n_1minMaxLocManual (JNIEnv* env, jclass, jlong src_nativeObj, jlong mask_nativeObj) { try { LOGD("Core::n_1minMaxLoc()"); jdoubleArray result; result = env->NewDoubleArray(6); if (result == NULL) { return NULL; /* out of memory error thrown */ } Mat& src = *((Mat*)src_nativeObj); double minVal, maxVal; Point minLoc, maxLoc; if (mask_nativeObj != 0) { Mat& mask = *((Mat*)mask_nativeObj); minMaxLoc(src, &minVal, &maxVal, &minLoc, &maxLoc, mask); } else { minMaxLoc(src, &minVal, &maxVal, &minLoc, &maxLoc); } jdouble fill[6]; fill[0]=minVal; fill[1]=maxVal; fill[2]=minLoc.x; fill[3]=minLoc.y; fill[4]=maxLoc.x; fill[5]=maxLoc.y; env->SetDoubleArrayRegion(result, 0, 6, fill); return result; } catch(const cv::Exception& e) { LOGD("Core::n_1minMaxLoc() catched cv::Exception: %s", e.what()); jclass je = env->FindClass("org/opencv/core/CvException"); if(!je) je = env->FindClass("java/lang/Exception"); env->ThrowNew(je, e.what()); return NULL; } catch (...) { LOGD("Core::n_1minMaxLoc() catched unknown exception (...)"); jclass je = env->FindClass("java/lang/Exception"); env->ThrowNew(je, "Unknown exception in JNI code {core::minMaxLoc()}"); return NULL; } } """, }, # minMaxLoc ## "checkRange" : #TBD ## {'j_code' : '/* TBD: checkRange() */', 'jn_code' : '', 'cpp_code' : '' }, "checkHardwareSupport" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "setUseOptimized" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "useOptimized" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, }, # Core 'Imgproc' : { 'getTextSize' : { 'j_code' : """ // C++: Size getTextSize(const String& text, int fontFace, double fontScale, int thickness, int* baseLine); //javadoc:getTextSize(text, fontFace, fontScale, thickness, baseLine) public static Size getTextSize(String text, int fontFace, double fontScale, int thickness, int[] baseLine) { if(baseLine != null && baseLine.length != 1) throw new java.lang.IllegalArgumentException("'baseLine' must be 'int[1]' or 'null'."); Size retVal = new Size(n_getTextSize(text, fontFace, fontScale, thickness, baseLine)); return retVal; } """, 'jn_code' : """ private static native double[] n_getTextSize(String text, int fontFace, double fontScale, int thickness, int[] baseLine);\n""", 'cpp_code' : """ // C++: Size getTextSize(const String& text, int fontFace, double fontScale, int thickness, int* baseLine); JNIEXPORT jdoubleArray JNICALL Java_org_opencv_imgproc_Imgproc_n_1getTextSize (JNIEnv*, jclass, jstring, jint, jdouble, jint, jintArray); JNIEXPORT jdoubleArray JNICALL Java_org_opencv_imgproc_Imgproc_n_1getTextSize (JNIEnv* env, jclass, jstring text, jint fontFace, jdouble fontScale, jint thickness, jintArray baseLine) { try { LOGD("Core::n_1getTextSize()"); jdoubleArray result; result = env->NewDoubleArray(2); if (result == NULL) { return NULL; /* out of memory error thrown */ } const char* utf_text = env->GetStringUTFChars(text, 0); String n_text( utf_text ? utf_text : "" ); env->ReleaseStringUTFChars(text, utf_text); int _baseLine; int* pbaseLine = 0; if (baseLine != NULL) pbaseLine = &_baseLine; cv::Size rsize = cv::getTextSize(n_text, (int)fontFace, (double)fontScale, (int)thickness, pbaseLine); jdouble fill[2]; fill[0]=rsize.width; fill[1]=rsize.height; env->SetDoubleArrayRegion(result, 0, 2, fill); if (baseLine != NULL) { jint jbaseLine = (jint)(*pbaseLine); env->SetIntArrayRegion(baseLine, 0, 1, &jbaseLine); } return result; } catch(const cv::Exception& e) { LOGD("Imgproc::n_1getTextSize() catched cv::Exception: %s", e.what()); jclass je = env->FindClass("org/opencv/core/CvException"); if(!je) je = env->FindClass("java/lang/Exception"); env->ThrowNew(je, e.what()); return NULL; } catch (...) { LOGD("Imgproc::n_1getTextSize() catched unknown exception (...)"); jclass je = env->FindClass("java/lang/Exception"); env->ThrowNew(je, "Unknown exception in JNI code {core::getTextSize()}"); return NULL; } } """, }, # getTextSize }, # Imgproc 'Highgui' : { "namedWindow" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "destroyWindow" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "destroyAllWindows" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "startWindowThread" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "setWindowProperty" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "getWindowProperty" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "getTrackbarPos" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "setTrackbarPos" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "imshow" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "waitKey" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "moveWindow" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, "resizeWindow" : {'j_code' : '', 'jn_code' : '', 'cpp_code' : '' }, }, # Highgui } # { class : { func : { arg_name : {"ctype" : ctype, "attrib" : [attrib]} } } } func_arg_fix = { '' : { 'randu' : { 'low' : {"ctype" : 'double'}, 'high' : {"ctype" : 'double'} }, 'randn' : { 'mean' : {"ctype" : 'double'}, 'stddev' : {"ctype" : 'double'} }, 'inRange' : { 'lowerb' : {"ctype" : 'Scalar'}, 'upperb' : {"ctype" : 'Scalar'} }, 'goodFeaturesToTrack' : { 'corners' : {"ctype" : 'vector_Point'} }, 'findFundamentalMat' : { 'points1' : {"ctype" : 'vector_Point2f'}, 'points2' : {"ctype" : 'vector_Point2f'} }, 'cornerSubPix' : { 'corners' : {"ctype" : 'vector_Point2f'} }, 'minEnclosingCircle' : { 'points' : {"ctype" : 'vector_Point2f'} }, 'findHomography' : { 'srcPoints' : {"ctype" : 'vector_Point2f'}, 'dstPoints' : {"ctype" : 'vector_Point2f'} }, 'solvePnP' : { 'objectPoints' : {"ctype" : 'vector_Point3f'}, 'imagePoints' : {"ctype" : 'vector_Point2f'}, 'distCoeffs' : {"ctype" : 'vector_double' } }, 'solvePnPRansac' : { 'objectPoints' : {"ctype" : 'vector_Point3f'}, 'imagePoints' : {"ctype" : 'vector_Point2f'}, 'distCoeffs' : {"ctype" : 'vector_double' } }, 'calcOpticalFlowPyrLK' : { 'prevPts' : {"ctype" : 'vector_Point2f'}, 'nextPts' : {"ctype" : 'vector_Point2f'}, 'status' : {"ctype" : 'vector_uchar'}, 'err' : {"ctype" : 'vector_float'} }, 'fitEllipse' : { 'points' : {"ctype" : 'vector_Point2f'} }, 'fillPoly' : { 'pts' : {"ctype" : 'vector_vector_Point'} }, 'polylines' : { 'pts' : {"ctype" : 'vector_vector_Point'} }, 'fillConvexPoly' : { 'points' : {"ctype" : 'vector_Point'} }, 'boundingRect' : { 'points' : {"ctype" : 'vector_Point'} }, 'approxPolyDP' : { 'curve' : {"ctype" : 'vector_Point2f'}, 'approxCurve' : {"ctype" : 'vector_Point2f'} }, 'arcLength' : { 'curve' : {"ctype" : 'vector_Point2f'} }, 'pointPolygonTest' : { 'contour' : {"ctype" : 'vector_Point2f'} }, 'minAreaRect' : { 'points' : {"ctype" : 'vector_Point2f'} }, 'getAffineTransform' : { 'src' : {"ctype" : 'vector_Point2f'}, 'dst' : {"ctype" : 'vector_Point2f'} }, 'hconcat' : { 'src' : {"ctype" : 'vector_Mat'} }, 'vconcat' : { 'src' : {"ctype" : 'vector_Mat'} }, 'undistortPoints' : { 'src' : {"ctype" : 'vector_Point2f'}, 'dst' : {"ctype" : 'vector_Point2f'} }, 'checkRange' : {'pos' : {"ctype" : '*'} }, 'meanStdDev' : { 'mean' : {"ctype" : 'vector_double'}, 'stddev' : {"ctype" : 'vector_double'} }, 'drawContours' : {'contours' : {"ctype" : 'vector_vector_Point'} }, 'findContours' : {'contours' : {"ctype" : 'vector_vector_Point'} }, 'convexityDefects' : { 'contour' : {"ctype" : 'vector_Point'}, 'convexhull' : {"ctype" : 'vector_int'}, 'convexityDefects' : {"ctype" : 'vector_Vec4i'} }, 'isContourConvex' : { 'contour' : {"ctype" : 'vector_Point'} }, 'convexHull' : { 'points' : {"ctype" : 'vector_Point'}, 'hull' : {"ctype" : 'vector_int'}, 'returnPoints' : {"ctype" : ''} }, 'projectPoints' : { 'objectPoints' : {"ctype" : 'vector_Point3f'}, 'imagePoints' : {"ctype" : 'vector_Point2f'}, 'distCoeffs' : {"ctype" : 'vector_double' } }, 'initCameraMatrix2D' : { 'objectPoints' : {"ctype" : 'vector_vector_Point3f'}, 'imagePoints' : {"ctype" : 'vector_vector_Point2f'} }, 'findChessboardCorners' : { 'corners' : {"ctype" : 'vector_Point2f'} }, 'drawChessboardCorners' : { 'corners' : {"ctype" : 'vector_Point2f'} }, 'mixChannels' : { 'dst' : {"attrib" : []} }, }, # '', i.e. no class } # func_arg_fix def getLibVersion(version_hpp_path): version_file = open(version_hpp_path, "rt").read() major = re.search("^W*#\W*define\W+CV_VERSION_MAJOR\W+(\d+)\W*$", version_file, re.MULTILINE).group(1) minor = re.search("^W*#\W*define\W+CV_VERSION_MINOR\W+(\d+)\W*$", version_file, re.MULTILINE).group(1) revision = re.search("^W*#\W*define\W+CV_VERSION_REVISION\W+(\d+)\W*$", version_file, re.MULTILINE).group(1) status = re.search("^W*#\W*define\W+CV_VERSION_STATUS\W+\"(.*?)\"\W*$", version_file, re.MULTILINE).group(1) return (major, minor, revision, status) def libVersionBlock(): (major, minor, revision, status) = getLibVersion( (os.path.dirname(__file__) or '.') + '/../../core/include/opencv2/core/version.hpp') version_str = '.'.join( (major, minor, revision) ) + status version_suffix = ''.join( (major, minor, revision) ) return """ // these constants are wrapped inside functions to prevent inlining private static String getVersion() { return "%(v)s"; } private static String getNativeLibraryName() { return "opencv_java%(vs)s"; } private static int getVersionMajor() { return %(ma)s; } private static int getVersionMinor() { return %(mi)s; } private static int getVersionRevision() { return %(re)s; } private static String getVersionStatus() { return "%(st)s"; } public static final String VERSION = getVersion(); public static final String NATIVE_LIBRARY_NAME = getNativeLibraryName(); public static final int VERSION_MAJOR = getVersionMajor(); public static final int VERSION_MINOR = getVersionMinor(); public static final int VERSION_REVISION = getVersionRevision(); public static final String VERSION_STATUS = getVersionStatus(); """ % { 'v' : version_str, 'vs' : version_suffix, 'ma' : major, 'mi' : minor, 're' : revision, 'st': status } T_JAVA_START_INHERITED = """ // // This file is auto-generated. Please don't modify it! // package org.opencv.$module; $imports // C++: class $name //javadoc: $name public class $jname extends $base { protected $jname(long addr) { super(addr); } """ T_JAVA_START_ORPHAN = """ // // This file is auto-generated. Please don't modify it! // package org.opencv.$module; $imports // C++: class $name //javadoc: $name public class $jname { protected final long nativeObj; protected $jname(long addr) { nativeObj = addr; } """ T_JAVA_START_MODULE = """ // // This file is auto-generated. Please don't modify it! // package org.opencv.$module; $imports public class $jname { """ T_CPP_MODULE = """ // // This file is auto-generated, please don't edit! // #define LOG_TAG "org.opencv.$m" #include "common.h" #include "opencv2/opencv_modules.hpp" #ifdef HAVE_OPENCV_$M #include <string> #include "opencv2/$m.hpp" $includes using namespace cv; /// throw java exception static void throwJavaException(JNIEnv *env, const std::exception *e, const char *method) { std::string what = "unknown exception"; jclass je = 0; if(e) { std::string exception_type = "std::exception"; if(dynamic_cast<const cv::Exception*>(e)) { exception_type = "cv::Exception"; je = env->FindClass("org/opencv/core/CvException"); } what = exception_type + ": " + e->what(); } if(!je) je = env->FindClass("java/lang/Exception"); env->ThrowNew(je, what.c_str()); LOGE("%s caught %s", method, what.c_str()); (void)method; // avoid "unused" warning } extern "C" { $code } // extern "C" #endif // HAVE_OPENCV_$M """ class GeneralInfo(): def __init__(self, name, namespaces): self.namespace, self.classpath, self.classname, self.name = self.parseName(name, namespaces) def parseName(self, name, namespaces): ''' input: full name and available namespaces returns: (namespace, classpath, classname, name) ''' name = name[name.find(" ")+1:].strip() # remove struct/class/const prefix spaceName = "" localName = name # <classes>.<name> for namespace in sorted(namespaces, key=len, reverse=True): if name.startswith(namespace + "."): spaceName = namespace localName = name.replace(namespace + ".", "") break pieces = localName.split(".") if len(pieces) > 2: # <class>.<class>.<class>.<name> return spaceName, ".".join(pieces[:-1]), pieces[-2], pieces[-1] elif len(pieces) == 2: # <class>.<name> return spaceName, pieces[0], pieces[0], pieces[1] elif len(pieces) == 1: # <name> return spaceName, "", "", pieces[0] else: return spaceName, "", "" # error?! def fullName(self, isCPP=False): result = ".".join([self.fullClass(), self.name]) return result if not isCPP else result.replace(".", "::") def fullClass(self, isCPP=False): result = ".".join([f for f in [self.namespace] + self.classpath.split(".") if len(f)>0]) return result if not isCPP else result.replace(".", "::") class ConstInfo(GeneralInfo): def __init__(self, decl, addedManually=False, namespaces=[]): GeneralInfo.__init__(self, decl[0], namespaces) self.cname = self.name.replace(".", "::") self.value = decl[1] self.addedManually = addedManually def __repr__(self): return Template("CONST $name=$value$manual").substitute(name=self.name, value=self.value, manual="(manual)" if self.addedManually else "") def isIgnored(self): for c in const_ignore_list: if re.match(c, self.name): return True return False class ClassPropInfo(): def __init__(self, decl): # [f_ctype, f_name, '', '/RW'] self.ctype = decl[0] self.name = decl[1] self.rw = "/RW" in decl[3] def __repr__(self): return Template("PROP $ctype $name").substitute(ctype=self.ctype, name=self.name) class ClassInfo(GeneralInfo): def __init__(self, decl, namespaces=[]): # [ 'class/struct cname', ': base', [modlist] ] GeneralInfo.__init__(self, decl[0], namespaces) self.cname = self.name.replace(".", "::") self.methods = [] self.methods_suffixes = {} self.consts = [] # using a list to save the occurence order self.private_consts = [] self.imports = set() self.props= [] self.jname = self.name self.smart = None # True if class stores Ptr<T>* instead of T* in nativeObj field self.j_code = None # java code stream self.jn_code = None # jni code stream self.cpp_code = None # cpp code stream for m in decl[2]: if m.startswith("="): self.jname = m[1:] self.base = '' if decl[1]: #self.base = re.sub(r"\b"+self.jname+r"\b", "", decl[1].replace(":", "")).strip() self.base = re.sub(r"^.*:", "", decl[1].split(",")[0]).strip().replace(self.jname, "") def __repr__(self): return Template("CLASS $namespace::$classpath.$name : $base").substitute(**self.__dict__) def getAllImports(self, module): return ["import %s;" % c for c in sorted(self.imports) if not c.startswith('org.opencv.'+module)] def addImports(self, ctype): if ctype.startswith('vector_vector'): self.imports.add("org.opencv.core.Mat") self.imports.add("org.opencv.utils.Converters") self.imports.add("java.util.List") self.imports.add("java.util.ArrayList") self.addImports(ctype.replace('vector_vector', 'vector')) elif ctype.startswith('Feature2D'): self.imports.add("org.opencv.features2d.Feature2D") elif ctype.startswith('vector'): self.imports.add("org.opencv.core.Mat") self.imports.add('java.util.ArrayList') if type_dict[ctype]['j_type'].startswith('MatOf'): self.imports.add("org.opencv.core." + type_dict[ctype]['j_type']) else: self.imports.add("java.util.List") self.imports.add("org.opencv.utils.Converters") self.addImports(ctype.replace('vector_', '')) else: j_type = '' if ctype in type_dict: j_type = type_dict[ctype]['j_type'] elif ctype in ("Algorithm"): j_type = ctype if j_type in ( "CvType", "Mat", "Point", "Point3", "Range", "Rect", "RotatedRect", "Scalar", "Size", "TermCriteria", "Algorithm" ): self.imports.add("org.opencv.core." + j_type) if j_type == 'String': self.imports.add("java.lang.String") def getAllMethods(self): result = [] result.extend([fi for fi in sorted(self.methods) if fi.isconstructor]) result.extend([fi for fi in sorted(self.methods) if not fi.isconstructor]) return result def addMethod(self, fi): self.methods.append(fi) def getConst(self, name): for cand in self.consts + self.private_consts: if cand.name == name: return cand return None def addConst(self, constinfo): # choose right list (public or private) consts = self.consts for c in const_private_list: if re.match(c, constinfo.name): consts = self.private_consts break consts.append(constinfo) def initCodeStreams(self, Module): self.j_code = StringIO() self.jn_code = StringIO() self.cpp_code = StringIO(); if self.name != Module: self.j_code.write(T_JAVA_START_INHERITED if self.base else T_JAVA_START_ORPHAN) else: self.j_code.write(T_JAVA_START_MODULE) # misc handling if self.name == 'Core': self.imports.add("java.lang.String") self.j_code.write(libVersionBlock()) def cleanupCodeStreams(self): self.j_code.close() self.jn_code.close() self.cpp_code.close() def generateJavaCode(self, m, M): return Template(self.j_code.getvalue() + "\n\n" + \ self.jn_code.getvalue() + "\n}\n").substitute(\ module = m, name = self.name, jname = self.jname, imports = "\n".join(self.getAllImports(M)), base = self.base) def generateCppCode(self): return self.cpp_code.getvalue() class ArgInfo(): def __init__(self, arg_tuple): # [ ctype, name, def val, [mod], argno ] self.pointer = False ctype = arg_tuple[0] if ctype.endswith("*"): ctype = ctype[:-1] self.pointer = True if ctype == 'vector_Point2d': ctype = 'vector_Point2f' elif ctype == 'vector_Point3d': ctype = 'vector_Point3f' self.ctype = ctype self.name = arg_tuple[1] self.defval = arg_tuple[2] self.out = "" if "/O" in arg_tuple[3]: self.out = "O" if "/IO" in arg_tuple[3]: self.out = "IO" def __repr__(self): return Template("ARG $ctype$p $name=$defval").substitute(ctype=self.ctype, p=" *" if self.pointer else "", name=self.name, defval=self.defval) class FuncInfo(GeneralInfo): def __init__(self, decl, namespaces=[]): # [ funcname, return_ctype, [modifiers], [args] ] GeneralInfo.__init__(self, decl[0], namespaces) self.cname = self.name.replace(".", "::") self.jname = self.name self.isconstructor = self.name == self.classname if "[" in self.name: self.jname = "getelem" for m in decl[2]: if m.startswith("="): self.jname = m[1:] self.static = ["","static"][ "/S" in decl[2] ] self.ctype = re.sub(r"^CvTermCriteria", "TermCriteria", decl[1] or "") self.args = [] func_fix_map = func_arg_fix.get(self.classname, {}).get(self.jname, {}) for a in decl[3]: arg = a[:] arg_fix_map = func_fix_map.get(arg[1], {}) arg[0] = arg_fix_map.get('ctype', arg[0]) #fixing arg type arg[3] = arg_fix_map.get('attrib', arg[3]) #fixing arg attrib self.args.append(ArgInfo(arg)) def __repr__(self): return Template("FUNC <$ctype $namespace.$classpath.$name $args>").substitute(**self.__dict__) def __lt__(self, other): return self.__repr__() < other.__repr__() class JavaWrapperGenerator(object): def __init__(self): self.clear() def clear(self): self.namespaces = set(["cv"]) self.classes = { "Mat" : ClassInfo([ 'class Mat', '', [], [] ], self.namespaces) } self.module = "" self.Module = "" self.ported_func_list = [] self.skipped_func_list = [] self.def_args_hist = {} # { def_args_cnt : funcs_cnt } def add_class(self, decl): classinfo = ClassInfo(decl, namespaces=self.namespaces) if classinfo.name in class_ignore_list: logging.info('ignored: %s', classinfo) return name = classinfo.name if self.isWrapped(name): logging.warning('duplicated: %s', classinfo) return self.classes[name] = classinfo if name in type_dict: logging.warning('duplicated: %s', classinfo) return type_dict[name] = \ { "j_type" : classinfo.jname, "jn_type" : "long", "jn_args" : (("__int64", ".nativeObj"),), "jni_name" : "(*("+classinfo.fullName(isCPP=True)+"*)%(n)s_nativeObj)", "jni_type" : "jlong", "suffix" : "J" } type_dict[name+'*'] = \ { "j_type" : classinfo.jname, "jn_type" : "long", "jn_args" : (("__int64", ".nativeObj"),), "jni_name" : "("+classinfo.fullName(isCPP=True)+"*)%(n)s_nativeObj", "jni_type" : "jlong", "suffix" : "J" } # missing_consts { Module : { public : [[name, val],...], private : [[]...] } } if name in missing_consts: if 'private' in missing_consts[name]: for (n, val) in missing_consts[name]['private']: classinfo.private_consts.append( ConstInfo([n, val], addedManually=True) ) if 'public' in missing_consts[name]: for (n, val) in missing_consts[name]['public']: classinfo.consts.append( ConstInfo([n, val], addedManually=True) ) # class props for p in decl[3]: if True: #"vector" not in p[0]: classinfo.props.append( ClassPropInfo(p) ) else: logging.warning("Skipped property: [%s]" % name, p) if classinfo.base: classinfo.addImports(classinfo.base) type_dict["Ptr_"+name] = \ { "j_type" : classinfo.jname, "jn_type" : "long", "jn_args" : (("__int64", ".nativeObj"),), "jni_name" : "Ptr<"+classinfo.fullName(isCPP=True)+">(("+classinfo.fullName(isCPP=True)+"*)%(n)s_nativeObj)", "jni_type" : "jlong", "suffix" : "J" } logging.info('ok: class %s, name: %s, base: %s', classinfo, name, classinfo.base) def add_const(self, decl): # [ "const cname", val, [], [] ] constinfo = ConstInfo(decl, namespaces=self.namespaces) if constinfo.isIgnored(): logging.info('ignored: %s', constinfo) elif not self.isWrapped(constinfo.classname): logging.info('class not found: %s', constinfo) else: ci = self.getClass(constinfo.classname) duplicate = ci.getConst(constinfo.name) if duplicate: if duplicate.addedManually: logging.info('manual: %s', constinfo) else: logging.warning('duplicated: %s', constinfo) else: ci.addConst(constinfo) logging.info('ok: %s', constinfo) def add_func(self, decl): fi = FuncInfo(decl, namespaces=self.namespaces) classname = fi.classname or self.Module if classname in class_ignore_list: logging.info('ignored: %s', fi) elif classname in ManualFuncs and fi.jname in ManualFuncs[classname]: logging.info('manual: %s', fi) elif not self.isWrapped(classname): logging.warning('not found: %s', fi) else: self.getClass(classname).addMethod(fi) logging.info('ok: %s', fi) # calc args with def val cnt = len([a for a in fi.args if a.defval]) self.def_args_hist[cnt] = self.def_args_hist.get(cnt, 0) + 1 def save(self, path, buf): f = open(path, "wt") f.write(buf) f.close() def gen(self, srcfiles, module, output_path, common_headers): self.clear() self.module = module self.Module = module.capitalize() # TODO: support UMat versions of declarations (implement UMat-wrapper for Java) parser = hdr_parser.CppHeaderParser(generate_umat_decls=False) self.add_class( ['class ' + self.Module, '', [], []] ) # [ 'class/struct cname', ':bases', [modlist] [props] ] # scan the headers and build more descriptive maps of classes, consts, functions includes = []; for hdr in common_headers: logging.info("\n===== Common header : %s =====", hdr) includes.append('#include "' + hdr + '"') for hdr in srcfiles: decls = parser.parse(hdr) self.namespaces = parser.namespaces logging.info("\n\n===== Header: %s =====", hdr) logging.info("Namespaces: %s", parser.namespaces) if decls: includes.append('#include "' + hdr + '"') else: logging.info("Ignore header: %s", hdr) for decl in decls: logging.info("\n--- Incoming ---\n%s", pformat(decl, 4)) name = decl[0] if name.startswith("struct") or name.startswith("class"): self.add_class(decl) elif name.startswith("const"): self.add_const(decl) else: # function self.add_func(decl) logging.info("\n\n===== Generating... =====") moduleCppCode = StringIO() for ci in self.classes.values(): if ci.name == "Mat": continue ci.initCodeStreams(self.Module) self.gen_class(ci) classJavaCode = ci.generateJavaCode(self.module, self.Module) self.save("%s/%s+%s.java" % (output_path, module, ci.jname), classJavaCode) moduleCppCode.write(ci.generateCppCode()) ci.cleanupCodeStreams() self.save(output_path+"/"+module+".cpp", Template(T_CPP_MODULE).substitute(m = module, M = module.upper(), code = moduleCppCode.getvalue(), includes = "\n".join(includes))) self.save(output_path+"/"+module+".txt", self.makeReport()) def makeReport(self): ''' Returns string with generator report ''' report = StringIO() total_count = len(self.ported_func_list)+ len(self.skipped_func_list) report.write("PORTED FUNCs LIST (%i of %i):\n\n" % (len(self.ported_func_list), total_count)) report.write("\n".join(self.ported_func_list)) report.write("\n\nSKIPPED FUNCs LIST (%i of %i):\n\n" % (len(self.skipped_func_list), total_count)) report.write("".join(self.skipped_func_list)) for i in self.def_args_hist.keys(): report.write("\n%i def args - %i funcs" % (i, self.def_args_hist[i])) return report.getvalue() def fullTypeName(self, t): if self.isWrapped(t): return self.getClass(t).fullName(isCPP=True) else: return t def gen_func(self, ci, fi, prop_name=''): logging.info("%s", fi) j_code = ci.j_code jn_code = ci.jn_code cpp_code = ci.cpp_code # c_decl # e.g: void add(Mat src1, Mat src2, Mat dst, Mat mask = Mat(), int dtype = -1) if prop_name: c_decl = "%s %s::%s" % (fi.ctype, fi.classname, prop_name) else: decl_args = [] for a in fi.args: s = a.ctype or ' _hidden_ ' if a.pointer: s += "*" elif a.out: s += "&" s += " " + a.name if a.defval: s += " = "+a.defval decl_args.append(s) c_decl = "%s %s %s(%s)" % ( fi.static, fi.ctype, fi.cname, ", ".join(decl_args) ) # java comment j_code.write( "\n //\n // C++: %s\n //\n\n" % c_decl ) # check if we 'know' all the types if fi.ctype not in type_dict: # unsupported ret type msg = "// Return type '%s' is not supported, skipping the function\n\n" % fi.ctype self.skipped_func_list.append(c_decl + "\n" + msg) j_code.write( " "*4 + msg ) logging.warning("SKIP:" + c_decl.strip() + "\t due to RET type" + fi.ctype) return for a in fi.args: if a.ctype not in type_dict: if not a.defval and a.ctype.endswith("*"): a.defval = 0 if a.defval: a.ctype = '' continue msg = "// Unknown type '%s' (%s), skipping the function\n\n" % (a.ctype, a.out or "I") self.skipped_func_list.append(c_decl + "\n" + msg) j_code.write( " "*4 + msg ) logging.warning("SKIP:" + c_decl.strip() + "\t due to ARG type" + a.ctype + "/" + (a.out or "I")) return self.ported_func_list.append(c_decl) # jn & cpp comment jn_code.write( "\n // C++: %s\n" % c_decl ) cpp_code.write( "\n//\n// %s\n//\n" % c_decl ) # java args args = fi.args[:] # copy j_signatures=[] suffix_counter = int(ci.methods_suffixes.get(fi.jname, -1)) while True: suffix_counter += 1 ci.methods_suffixes[fi.jname] = suffix_counter # java native method args jn_args = [] # jni (cpp) function args jni_args = [ArgInfo([ "env", "env", "", [], "" ]), ArgInfo([ "cls", "", "", [], "" ])] j_prologue = [] j_epilogue = [] c_prologue = [] c_epilogue = [] if type_dict[fi.ctype]["jni_type"] == "jdoubleArray": fields = type_dict[fi.ctype]["jn_args"] c_epilogue.append( \ ("jdoubleArray _da_retval_ = env->NewDoubleArray(%(cnt)i); " + "jdouble _tmp_retval_[%(cnt)i] = {%(args)s}; " + "env->SetDoubleArrayRegion(_da_retval_, 0, %(cnt)i, _tmp_retval_);") % { "cnt" : len(fields), "args" : ", ".join(["(jdouble)_retval_" + f[1] for f in fields]) } ) if fi.classname and fi.ctype and not fi.static: # non-static class method except c-tor # adding 'self' jn_args.append ( ArgInfo([ "__int64", "nativeObj", "", [], "" ]) ) jni_args.append( ArgInfo([ "__int64", "self", "", [], "" ]) ) ci.addImports(fi.ctype) for a in args: if not a.ctype: # hidden continue ci.addImports(a.ctype) if "vector" in a.ctype: # pass as Mat jn_args.append ( ArgInfo([ "__int64", "%s_mat.nativeObj" % a.name, "", [], "" ]) ) jni_args.append ( ArgInfo([ "__int64", "%s_mat_nativeObj" % a.name, "", [], "" ]) ) c_prologue.append( type_dict[a.ctype]["jni_var"] % {"n" : a.name} + ";" ) c_prologue.append( "Mat& %(n)s_mat = *((Mat*)%(n)s_mat_nativeObj)" % {"n" : a.name} + ";" ) if "I" in a.out or not a.out: if a.ctype.startswith("vector_vector_"): j_prologue.append( "List<Mat> %(n)s_tmplm = new ArrayList<Mat>((%(n)s != null) ? %(n)s.size() : 0);" % {"n" : a.name } ) j_prologue.append( "Mat %(n)s_mat = Converters.%(t)s_to_Mat(%(n)s, %(n)s_tmplm);" % {"n" : a.name, "t" : a.ctype} ) else: if not type_dict[a.ctype]["j_type"].startswith("MatOf"): j_prologue.append( "Mat %(n)s_mat = Converters.%(t)s_to_Mat(%(n)s);" % {"n" : a.name, "t" : a.ctype} ) else: j_prologue.append( "Mat %s_mat = %s;" % (a.name, a.name) ) c_prologue.append( "Mat_to_%(t)s( %(n)s_mat, %(n)s );" % {"n" : a.name, "t" : a.ctype} ) else: if not type_dict[a.ctype]["j_type"].startswith("MatOf"): j_prologue.append( "Mat %s_mat = new Mat();" % a.name ) else: j_prologue.append( "Mat %s_mat = %s;" % (a.name, a.name) ) if "O" in a.out: if not type_dict[a.ctype]["j_type"].startswith("MatOf"): j_epilogue.append("Converters.Mat_to_%(t)s(%(n)s_mat, %(n)s);" % {"t" : a.ctype, "n" : a.name}) j_epilogue.append( "%s_mat.release();" % a.name ) c_epilogue.append( "%(t)s_to_Mat( %(n)s, %(n)s_mat );" % {"n" : a.name, "t" : a.ctype} ) else: fields = type_dict[a.ctype].get("jn_args", ((a.ctype, ""),)) if "I" in a.out or not a.out or self.isWrapped(a.ctype): # input arg, pass by primitive fields for f in fields: jn_args.append ( ArgInfo([ f[0], a.name + f[1], "", [], "" ]) ) jni_args.append( ArgInfo([ f[0], a.name + f[1].replace(".","_").replace("[","").replace("]",""), "", [], "" ]) ) if a.out and not self.isWrapped(a.ctype): # out arg, pass as double[] jn_args.append ( ArgInfo([ "double[]", "%s_out" % a.name, "", [], "" ]) ) jni_args.append ( ArgInfo([ "double[]", "%s_out" % a.name, "", [], "" ]) ) j_prologue.append( "double[] %s_out = new double[%i];" % (a.name, len(fields)) ) c_epilogue.append( \ "jdouble tmp_%(n)s[%(cnt)i] = {%(args)s}; env->SetDoubleArrayRegion(%(n)s_out, 0, %(cnt)i, tmp_%(n)s);" % { "n" : a.name, "cnt" : len(fields), "args" : ", ".join(["(jdouble)" + a.name + f[1] for f in fields]) } ) if a.ctype in ('bool', 'int', 'long', 'float', 'double'): j_epilogue.append('if(%(n)s!=null) %(n)s[0] = (%(t)s)%(n)s_out[0];' % {'n':a.name,'t':a.ctype}) else: set_vals = [] i = 0 for f in fields: set_vals.append( "%(n)s%(f)s = %(t)s%(n)s_out[%(i)i]" % {"n" : a.name, "t": ("("+type_dict[f[0]]["j_type"]+")", "")[f[0]=="double"], "f" : f[1], "i" : i} ) i += 1 j_epilogue.append( "if("+a.name+"!=null){ " + "; ".join(set_vals) + "; } ") # calculate java method signature to check for uniqueness j_args = [] for a in args: if not a.ctype: #hidden continue jt = type_dict[a.ctype]["j_type"] if a.out and a.ctype in ('bool', 'int', 'long', 'float', 'double'): jt += '[]' j_args.append( jt + ' ' + a.name ) j_signature = type_dict[fi.ctype]["j_type"] + " " + \ fi.jname + "(" + ", ".join(j_args) + ")" logging.info("java: " + j_signature) if(j_signature in j_signatures): if args: pop(args) continue else: break # java part: # private java NATIVE method decl # e.g. # private static native void add_0(long src1, long src2, long dst, long mask, int dtype); jn_code.write( Template(\ " private static native $type $name($args);\n").substitute(\ type = type_dict[fi.ctype].get("jn_type", "double[]"), \ name = fi.jname + '_' + str(suffix_counter), \ args = ", ".join(["%s %s" % (type_dict[a.ctype]["jn_type"], a.name.replace(".","_").replace("[","").replace("]","")) for a in jn_args]) ) ); # java part: #java doc comment f_name = fi.name if fi.classname: f_name = fi.classname + "::" + fi.name java_doc = "//javadoc: " + f_name + "(%s)" % ", ".join([a.name for a in args if a.ctype]) j_code.write(" "*4 + java_doc + "\n") # public java wrapper method impl (calling native one above) # e.g. # public static void add( Mat src1, Mat src2, Mat dst, Mat mask, int dtype ) # { add_0( src1.nativeObj, src2.nativeObj, dst.nativeObj, mask.nativeObj, dtype ); } ret_type = fi.ctype if fi.ctype.endswith('*'): ret_type = ret_type[:-1] ret_val = type_dict[ret_type]["j_type"] + " retVal = " tail = "" ret = "return retVal;" if ret_type.startswith('vector'): tail = ")" j_type = type_dict[ret_type]["j_type"] if j_type.startswith('MatOf'): ret_val += j_type + ".fromNativeAddr(" else: ret_val = "Mat retValMat = new Mat(" j_prologue.append( j_type + ' retVal = new Array' + j_type+'();') j_epilogue.append('Converters.Mat_to_' + ret_type + '(retValMat, retVal);') elif ret_type.startswith("Ptr_"): ret_val = type_dict[fi.ctype]["j_type"] + " retVal = new " + type_dict[ret_type]["j_type"] + "(" tail = ")" elif ret_type == "void": ret_val = "" ret = "return;" elif ret_type == "": # c-tor if fi.classname and ci.base: ret_val = "super( " tail = " )" else: ret_val = "nativeObj = " ret = "return;" elif self.isWrapped(ret_type): # wrapped class ret_val = type_dict[ret_type]["j_type"] + " retVal = new " + self.getClass(ret_type).jname + "(" tail = ")" elif "jn_type" not in type_dict[ret_type]: ret_val = type_dict[fi.ctype]["j_type"] + " retVal = new " + type_dict[ret_type]["j_type"] + "(" tail = ")" static = "static" if fi.classname: static = fi.static j_code.write( Template(\ """ public $static $j_type $j_name($j_args) { $prologue $ret_val$jn_name($jn_args_call)$tail; $epilogue $ret } """ ).substitute(\ ret = ret, \ ret_val = ret_val, \ tail = tail, \ prologue = "\n ".join(j_prologue), \ epilogue = "\n ".join(j_epilogue), \ static=static, \ j_type=type_dict[fi.ctype]["j_type"], \ j_name=fi.jname, \ j_args=", ".join(j_args), \ jn_name=fi.jname + '_' + str(suffix_counter), \ jn_args_call=", ".join( [a.name for a in jn_args] ),\ ) ) # cpp part: # jni_func(..) { _retval_ = cv_func(..); return _retval_; } ret = "return _retval_;" default = "return 0;" if fi.ctype == "void": ret = "return;" default = "return;" elif not fi.ctype: # c-tor ret = "return (jlong) _retval_;" elif fi.ctype.startswith('vector'): # c-tor ret = "return (jlong) _retval_;" elif fi.ctype == "String": ret = "return env->NewStringUTF(_retval_.c_str());" default = 'return env->NewStringUTF("");' elif self.isWrapped(fi.ctype): # wrapped class: ret = "return (jlong) new %s(_retval_);" % self.fullTypeName(fi.ctype) elif fi.ctype.startswith('Ptr_'): c_prologue.append("typedef Ptr<%s> %s;" % (self.fullTypeName(fi.ctype[4:]), fi.ctype)) ret = "return (jlong)(new %(ctype)s(_retval_));" % { 'ctype':fi.ctype } elif self.isWrapped(ret_type): # pointer to wrapped class: ret = "return (jlong) _retval_;" elif type_dict[fi.ctype]["jni_type"] == "jdoubleArray": ret = "return _da_retval_;" # hack: replacing func call with property set/get name = fi.name if prop_name: if args: name = prop_name + " = " else: name = prop_name + ";//" cvname = fi.fullName(isCPP=True) retval = self.fullTypeName(fi.ctype) + " _retval_ = " if fi.ctype == "void": retval = "" elif fi.ctype == "String": retval = "cv::" + retval elif fi.ctype.startswith('vector'): retval = type_dict[fi.ctype]['jni_var'] % {"n" : '_ret_val_vector_'} + " = " c_epilogue.append("Mat* _retval_ = new Mat();") c_epilogue.append(fi.ctype+"_to_Mat(_ret_val_vector_, *_retval_);") if len(fi.classname)>0: if not fi.ctype: # c-tor retval = fi.fullClass(isCPP=True) + "* _retval_ = " cvname = "new " + fi.fullClass(isCPP=True) elif fi.static: cvname = fi.fullName(isCPP=True) else: cvname = ("me->" if not self.isSmartClass(ci) else "(*me)->") + name c_prologue.append(\ "%(cls)s* me = (%(cls)s*) self; //TODO: check for NULL" \ % { "cls" : self.smartWrap(ci, fi.fullClass(isCPP=True))} \ ) cvargs = [] for a in args: if a.pointer: jni_name = "&%(n)s" else: jni_name = "%(n)s" if not a.out and not "jni_var" in type_dict[a.ctype]: # explicit cast to C type to avoid ambiguous call error on platforms (mingw) # where jni types are different from native types (e.g. jint is not the same as int) jni_name = "(%s)%s" % (a.ctype, jni_name) if not a.ctype: # hidden jni_name = a.defval cvargs.append( type_dict[a.ctype].get("jni_name", jni_name) % {"n" : a.name}) if "vector" not in a.ctype : if ("I" in a.out or not a.out or self.isWrapped(a.ctype)) and "jni_var" in type_dict[a.ctype]: # complex type c_prologue.append(type_dict[a.ctype]["jni_var"] % {"n" : a.name} + ";") if a.out and "I" not in a.out and not self.isWrapped(a.ctype) and a.ctype: c_prologue.append("%s %s;" % (a.ctype, a.name)) rtype = type_dict[fi.ctype].get("jni_type", "jdoubleArray") clazz = ci.jname cpp_code.write ( Template( \ """ ${namespace} JNIEXPORT $rtype JNICALL Java_org_opencv_${module}_${clazz}_$fname ($argst); JNIEXPORT $rtype JNICALL Java_org_opencv_${module}_${clazz}_$fname ($args) { static const char method_name[] = "$module::$fname()"; try { LOGD("%s", method_name); $prologue $retval$cvname( $cvargs ); $epilogue$ret } catch(const std::exception &e) { throwJavaException(env, &e, method_name); } catch (...) { throwJavaException(env, 0, method_name); } $default } """ ).substitute( \ rtype = rtype, \ module = self.module.replace('_', '_1'), \ clazz = clazz.replace('_', '_1'), \ fname = (fi.jname + '_' + str(suffix_counter)).replace('_', '_1'), \ args = ", ".join(["%s %s" % (type_dict[a.ctype].get("jni_type"), a.name) for a in jni_args]), \ argst = ", ".join([type_dict[a.ctype].get("jni_type") for a in jni_args]), \ prologue = "\n ".join(c_prologue), \ epilogue = " ".join(c_epilogue) + ("\n " if c_epilogue else ""), \ ret = ret, \ cvname = cvname, \ cvargs = ", ".join(cvargs), \ default = default, \ retval = retval, \ namespace = ('using namespace ' + ci.namespace.replace('.', '::') + ';') if ci.namespace else '' ) ) # adding method signature to dictionarry j_signatures.append(j_signature) # processing args with default values if not args or not args[-1].defval: break while args and args[-1].defval: # 'smart' overloads filtering a = args.pop() if a.name in ('mask', 'dtype', 'ddepth', 'lineType', 'borderType', 'borderMode', 'criteria'): break def gen_class(self, ci): logging.info("%s", ci) # constants if ci.private_consts: logging.info("%s", ci.private_consts) ci.j_code.write(""" private static final int %s;\n\n""" % (",\n"+" "*12).join(["%s = %s" % (c.name, c.value) for c in ci.private_consts]) ) if ci.consts: logging.info("%s", ci.consts) ci.j_code.write(""" public static final int %s;\n\n""" % (",\n"+" "*12).join(["%s = %s" % (c.name, c.value) for c in ci.consts]) ) # methods for fi in ci.getAllMethods(): self.gen_func(ci, fi) # props for pi in ci.props: # getter getter_name = ci.fullName() + ".get_" + pi.name fi = FuncInfo( [getter_name, pi.ctype, [], []], self.namespaces ) # [ funcname, return_ctype, [modifiers], [args] ] self.gen_func(ci, fi, pi.name) if pi.rw: #setter setter_name = ci.fullName() + ".set_" + pi.name fi = FuncInfo( [ setter_name, "void", [], [ [pi.ctype, pi.name, "", [], ""] ] ], self.namespaces) self.gen_func(ci, fi, pi.name) # manual ports if ci.name in ManualFuncs: for func in ManualFuncs[ci.name].keys(): ci.j_code.write ( ManualFuncs[ci.name][func]["j_code"] ) ci.jn_code.write( ManualFuncs[ci.name][func]["jn_code"] ) ci.cpp_code.write( ManualFuncs[ci.name][func]["cpp_code"] ) if ci.name != self.Module: # finalize() ci.j_code.write( """ @Override protected void finalize() throws Throwable { delete(nativeObj); } """ ) ci.jn_code.write( """ // native support for java finalize() private static native void delete(long nativeObj); """ ) # native support for java finalize() ci.cpp_code.write( \ """ // // native support for java finalize() // static void %(cls)s::delete( __int64 self ) // JNIEXPORT void JNICALL Java_org_opencv_%(module)s_%(j_cls)s_delete(JNIEnv*, jclass, jlong); JNIEXPORT void JNICALL Java_org_opencv_%(module)s_%(j_cls)s_delete (JNIEnv*, jclass, jlong self) { delete (%(cls)s*) self; } """ % {"module" : module.replace('_', '_1'), "cls" : self.smartWrap(ci, ci.fullName(isCPP=True)), "j_cls" : ci.jname.replace('_', '_1')} ) def getClass(self, classname): return self.classes[classname or self.Module] def isWrapped(self, classname): name = classname or self.Module return name in self.classes def isSmartClass(self, ci): ''' Check if class stores Ptr<T>* instead of T* in nativeObj field ''' if ci.smart != None: return ci.smart # if parents are smart (we hope) then children are! # if not we believe the class is smart if it has "create" method ci.smart = False if ci.base: ci.smart = True else: for fi in ci.methods: if fi.name == "create": ci.smart = True break return ci.smart def smartWrap(self, ci, fullname): ''' Wraps fullname with Ptr<> if needed ''' if self.isSmartClass(ci): return "Ptr<" + fullname + ">" return fullname if __name__ == "__main__": if len(sys.argv) < 4: print("Usage:\n", \ os.path.basename(sys.argv[0]), \ "<full path to hdr_parser.py> <module name> <C++ header> [<C++ header>...]") print("Current args are: ", ", ".join(["'"+a+"'" for a in sys.argv])) exit(0) dstdir = "." hdr_parser_path = os.path.abspath(sys.argv[1]) if hdr_parser_path.endswith(".py"): hdr_parser_path = os.path.dirname(hdr_parser_path) sys.path.append(hdr_parser_path) import hdr_parser module = sys.argv[2] srcfiles = sys.argv[3:] common_headers = [] if '--common' in srcfiles: pos = srcfiles.index('--common') common_headers = srcfiles[pos+1:] srcfiles = srcfiles[:pos] logging.basicConfig(filename='%s/%s.log' % (dstdir, module), format=None, filemode='w', level=logging.INFO) handler = logging.StreamHandler() handler.setLevel(logging.WARNING) logging.getLogger().addHandler(handler) #print("Generating module '" + module + "' from headers:\n\t" + "\n\t".join(srcfiles)) generator = JavaWrapperGenerator() generator.gen(srcfiles, module, dstdir, common_headers)

44.213976

185

0.515204

bde74b17dfc4e7b2155a799540cbc8ef7baf83a7

58,094

py

Python

botenv/lib/python3.9/site-packages/redis/connection.py

0xtuytuy/unit-crypto-ski-week-poap-bot

9bab0a6013a29db9ce76311d4f6fa1d0922ac5c1

[ "MIT" ]

null

botenv/lib/python3.9/site-packages/redis/connection.py

0xtuytuy/unit-crypto-ski-week-poap-bot

9bab0a6013a29db9ce76311d4f6fa1d0922ac5c1

[ "MIT" ]

null

botenv/lib/python3.9/site-packages/redis/connection.py

0xtuytuy/unit-crypto-ski-week-poap-bot

9bab0a6013a29db9ce76311d4f6fa1d0922ac5c1

[ "MIT" ]

null

import copy import errno import io import os import socket import threading import weakref from itertools import chain from queue import Empty, Full, LifoQueue from time import time from urllib.parse import parse_qs, unquote, urlparse from packaging.version import Version from redis.backoff import NoBackoff from redis.exceptions import ( AuthenticationError, AuthenticationWrongNumberOfArgsError, BusyLoadingError, ChildDeadlockedError, ConnectionError, DataError, ExecAbortError, InvalidResponse, ModuleError, NoPermissionError, NoScriptError, ReadOnlyError, RedisError, ResponseError, TimeoutError, ) from redis.retry import Retry from redis.utils import CRYPTOGRAPHY_AVAILABLE, HIREDIS_AVAILABLE, str_if_bytes try: import ssl ssl_available = True except ImportError: ssl_available = False NONBLOCKING_EXCEPTION_ERROR_NUMBERS = { BlockingIOError: errno.EWOULDBLOCK, } if ssl_available: if hasattr(ssl, "SSLWantReadError"): NONBLOCKING_EXCEPTION_ERROR_NUMBERS[ssl.SSLWantReadError] = 2 NONBLOCKING_EXCEPTION_ERROR_NUMBERS[ssl.SSLWantWriteError] = 2 else: NONBLOCKING_EXCEPTION_ERROR_NUMBERS[ssl.SSLError] = 2 NONBLOCKING_EXCEPTIONS = tuple(NONBLOCKING_EXCEPTION_ERROR_NUMBERS.keys()) if HIREDIS_AVAILABLE: import hiredis hiredis_version = Version(hiredis.__version__) HIREDIS_SUPPORTS_CALLABLE_ERRORS = hiredis_version >= Version("0.1.3") HIREDIS_SUPPORTS_BYTE_BUFFER = hiredis_version >= Version("0.1.4") HIREDIS_SUPPORTS_ENCODING_ERRORS = hiredis_version >= Version("1.0.0") HIREDIS_USE_BYTE_BUFFER = True # only use byte buffer if hiredis supports it if not HIREDIS_SUPPORTS_BYTE_BUFFER: HIREDIS_USE_BYTE_BUFFER = False SYM_STAR = b"*" SYM_DOLLAR = b"$" SYM_CRLF = b"\r\n" SYM_EMPTY = b"" SERVER_CLOSED_CONNECTION_ERROR = "Connection closed by server." SENTINEL = object() MODULE_LOAD_ERROR = "Error loading the extension. " "Please check the server logs." NO_SUCH_MODULE_ERROR = "Error unloading module: no such module with that name" MODULE_UNLOAD_NOT_POSSIBLE_ERROR = "Error unloading module: operation not " "possible." MODULE_EXPORTS_DATA_TYPES_ERROR = ( "Error unloading module: the module " "exports one or more module-side data " "types, can't unload" ) class Encoder: "Encode strings to bytes-like and decode bytes-like to strings" def __init__(self, encoding, encoding_errors, decode_responses): self.encoding = encoding self.encoding_errors = encoding_errors self.decode_responses = decode_responses def encode(self, value): "Return a bytestring or bytes-like representation of the value" if isinstance(value, (bytes, memoryview)): return value elif isinstance(value, bool): # special case bool since it is a subclass of int raise DataError( "Invalid input of type: 'bool'. Convert to a " "bytes, string, int or float first." ) elif isinstance(value, (int, float)): value = repr(value).encode() elif not isinstance(value, str): # a value we don't know how to deal with. throw an error typename = type(value).__name__ raise DataError( f"Invalid input of type: '{typename}'. " f"Convert to a bytes, string, int or float first." ) if isinstance(value, str): value = value.encode(self.encoding, self.encoding_errors) return value def decode(self, value, force=False): "Return a unicode string from the bytes-like representation" if self.decode_responses or force: if isinstance(value, memoryview): value = value.tobytes() if isinstance(value, bytes): value = value.decode(self.encoding, self.encoding_errors) return value class BaseParser: EXCEPTION_CLASSES = { "ERR": { "max number of clients reached": ConnectionError, "Client sent AUTH, but no password is set": AuthenticationError, "invalid password": AuthenticationError, # some Redis server versions report invalid command syntax # in lowercase "wrong number of arguments " "for 'auth' command": AuthenticationWrongNumberOfArgsError, # some Redis server versions report invalid command syntax # in uppercase "wrong number of arguments " "for 'AUTH' command": AuthenticationWrongNumberOfArgsError, MODULE_LOAD_ERROR: ModuleError, MODULE_EXPORTS_DATA_TYPES_ERROR: ModuleError, NO_SUCH_MODULE_ERROR: ModuleError, MODULE_UNLOAD_NOT_POSSIBLE_ERROR: ModuleError, }, "EXECABORT": ExecAbortError, "LOADING": BusyLoadingError, "NOSCRIPT": NoScriptError, "READONLY": ReadOnlyError, "NOAUTH": AuthenticationError, "NOPERM": NoPermissionError, } def parse_error(self, response): "Parse an error response" error_code = response.split(" ")[0] if error_code in self.EXCEPTION_CLASSES: response = response[len(error_code) + 1 :] exception_class = self.EXCEPTION_CLASSES[error_code] if isinstance(exception_class, dict): exception_class = exception_class.get(response, ResponseError) return exception_class(response) return ResponseError(response) class SocketBuffer: def __init__(self, socket, socket_read_size, socket_timeout): self._sock = socket self.socket_read_size = socket_read_size self.socket_timeout = socket_timeout self._buffer = io.BytesIO() # number of bytes written to the buffer from the socket self.bytes_written = 0 # number of bytes read from the buffer self.bytes_read = 0 @property def length(self): return self.bytes_written - self.bytes_read def _read_from_socket(self, length=None, timeout=SENTINEL, raise_on_timeout=True): sock = self._sock socket_read_size = self.socket_read_size buf = self._buffer buf.seek(self.bytes_written) marker = 0 custom_timeout = timeout is not SENTINEL try: if custom_timeout: sock.settimeout(timeout) while True: data = self._sock.recv(socket_read_size) # an empty string indicates the server shutdown the socket if isinstance(data, bytes) and len(data) == 0: raise ConnectionError(SERVER_CLOSED_CONNECTION_ERROR) buf.write(data) data_length = len(data) self.bytes_written += data_length marker += data_length if length is not None and length > marker: continue return True except socket.timeout: if raise_on_timeout: raise TimeoutError("Timeout reading from socket") return False except NONBLOCKING_EXCEPTIONS as ex: # if we're in nonblocking mode and the recv raises a # blocking error, simply return False indicating that # there's no data to be read. otherwise raise the # original exception. allowed = NONBLOCKING_EXCEPTION_ERROR_NUMBERS.get(ex.__class__, -1) if not raise_on_timeout and ex.errno == allowed: return False raise ConnectionError(f"Error while reading from socket: {ex.args}") finally: if custom_timeout: sock.settimeout(self.socket_timeout) def can_read(self, timeout): return bool(self.length) or self._read_from_socket( timeout=timeout, raise_on_timeout=False ) def read(self, length): length = length + 2 # make sure to read the \r\n terminator # make sure we've read enough data from the socket if length > self.length: self._read_from_socket(length - self.length) self._buffer.seek(self.bytes_read) data = self._buffer.read(length) self.bytes_read += len(data) # purge the buffer when we've consumed it all so it doesn't # grow forever if self.bytes_read == self.bytes_written: self.purge() return data[:-2] def readline(self): buf = self._buffer buf.seek(self.bytes_read) data = buf.readline() while not data.endswith(SYM_CRLF): # there's more data in the socket that we need self._read_from_socket() buf.seek(self.bytes_read) data = buf.readline() self.bytes_read += len(data) # purge the buffer when we've consumed it all so it doesn't # grow forever if self.bytes_read == self.bytes_written: self.purge() return data[:-2] def purge(self): self._buffer.seek(0) self._buffer.truncate() self.bytes_written = 0 self.bytes_read = 0 def close(self): try: self.purge() self._buffer.close() except Exception: # issue #633 suggests the purge/close somehow raised a # BadFileDescriptor error. Perhaps the client ran out of # memory or something else? It's probably OK to ignore # any error being raised from purge/close since we're # removing the reference to the instance below. pass self._buffer = None self._sock = None class PythonParser(BaseParser): "Plain Python parsing class" def __init__(self, socket_read_size): self.socket_read_size = socket_read_size self.encoder = None self._sock = None self._buffer = None def __del__(self): try: self.on_disconnect() except Exception: pass def on_connect(self, connection): "Called when the socket connects" self._sock = connection._sock self._buffer = SocketBuffer( self._sock, self.socket_read_size, connection.socket_timeout ) self.encoder = connection.encoder def on_disconnect(self): "Called when the socket disconnects" self._sock = None if self._buffer is not None: self._buffer.close() self._buffer = None self.encoder = None def can_read(self, timeout): return self._buffer and self._buffer.can_read(timeout) def read_response(self, disable_decoding=False): raw = self._buffer.readline() if not raw: raise ConnectionError(SERVER_CLOSED_CONNECTION_ERROR) byte, response = raw[:1], raw[1:] if byte not in (b"-", b"+", b":", b"$", b"*"): raise InvalidResponse(f"Protocol Error: {raw!r}") # server returned an error if byte == b"-": response = response.decode("utf-8", errors="replace") error = self.parse_error(response) # if the error is a ConnectionError, raise immediately so the user # is notified if isinstance(error, ConnectionError): raise error # otherwise, we're dealing with a ResponseError that might belong # inside a pipeline response. the connection's read_response() # and/or the pipeline's execute() will raise this error if # necessary, so just return the exception instance here. return error # single value elif byte == b"+": pass # int value elif byte == b":": response = int(response) # bulk response elif byte == b"$": length = int(response) if length == -1: return None response = self._buffer.read(length) # multi-bulk response elif byte == b"*": length = int(response) if length == -1: return None response = [ self.read_response(disable_decoding=disable_decoding) for i in range(length) ] if isinstance(response, bytes) and disable_decoding is False: response = self.encoder.decode(response) return response class HiredisParser(BaseParser): "Parser class for connections using Hiredis" def __init__(self, socket_read_size): if not HIREDIS_AVAILABLE: raise RedisError("Hiredis is not installed") self.socket_read_size = socket_read_size if HIREDIS_USE_BYTE_BUFFER: self._buffer = bytearray(socket_read_size) def __del__(self): try: self.on_disconnect() except Exception: pass def on_connect(self, connection, **kwargs): self._sock = connection._sock self._socket_timeout = connection.socket_timeout kwargs = { "protocolError": InvalidResponse, "replyError": self.parse_error, } # hiredis < 0.1.3 doesn't support functions that create exceptions if not HIREDIS_SUPPORTS_CALLABLE_ERRORS: kwargs["replyError"] = ResponseError if connection.encoder.decode_responses: kwargs["encoding"] = connection.encoder.encoding if HIREDIS_SUPPORTS_ENCODING_ERRORS: kwargs["errors"] = connection.encoder.encoding_errors self._reader = hiredis.Reader(**kwargs) self._next_response = False def on_disconnect(self): self._sock = None self._reader = None self._next_response = False def can_read(self, timeout): if not self._reader: raise ConnectionError(SERVER_CLOSED_CONNECTION_ERROR) if self._next_response is False: self._next_response = self._reader.gets() if self._next_response is False: return self.read_from_socket(timeout=timeout, raise_on_timeout=False) return True def read_from_socket(self, timeout=SENTINEL, raise_on_timeout=True): sock = self._sock custom_timeout = timeout is not SENTINEL try: if custom_timeout: sock.settimeout(timeout) if HIREDIS_USE_BYTE_BUFFER: bufflen = self._sock.recv_into(self._buffer) if bufflen == 0: raise ConnectionError(SERVER_CLOSED_CONNECTION_ERROR) self._reader.feed(self._buffer, 0, bufflen) else: buffer = self._sock.recv(self.socket_read_size) # an empty string indicates the server shutdown the socket if not isinstance(buffer, bytes) or len(buffer) == 0: raise ConnectionError(SERVER_CLOSED_CONNECTION_ERROR) self._reader.feed(buffer) # data was read from the socket and added to the buffer. # return True to indicate that data was read. return True except socket.timeout: if raise_on_timeout: raise TimeoutError("Timeout reading from socket") return False except NONBLOCKING_EXCEPTIONS as ex: # if we're in nonblocking mode and the recv raises a # blocking error, simply return False indicating that # there's no data to be read. otherwise raise the # original exception. allowed = NONBLOCKING_EXCEPTION_ERROR_NUMBERS.get(ex.__class__, -1) if not raise_on_timeout and ex.errno == allowed: return False raise ConnectionError(f"Error while reading from socket: {ex.args}") finally: if custom_timeout: sock.settimeout(self._socket_timeout) def read_response(self, disable_decoding=False): if not self._reader: raise ConnectionError(SERVER_CLOSED_CONNECTION_ERROR) # _next_response might be cached from a can_read() call if self._next_response is not False: response = self._next_response self._next_response = False return response response = self._reader.gets() while response is False: self.read_from_socket() response = self._reader.gets() # if an older version of hiredis is installed, we need to attempt # to convert ResponseErrors to their appropriate types. if not HIREDIS_SUPPORTS_CALLABLE_ERRORS: if isinstance(response, ResponseError): response = self.parse_error(response.args[0]) elif ( isinstance(response, list) and response and isinstance(response[0], ResponseError) ): response[0] = self.parse_error(response[0].args[0]) # if the response is a ConnectionError or the response is a list and # the first item is a ConnectionError, raise it as something bad # happened if isinstance(response, ConnectionError): raise response elif ( isinstance(response, list) and response and isinstance(response[0], ConnectionError) ): raise response[0] return response if HIREDIS_AVAILABLE: DefaultParser = HiredisParser else: DefaultParser = PythonParser class Connection: "Manages TCP communication to and from a Redis server" def __init__( self, host="localhost", port=6379, db=0, password=None, socket_timeout=None, socket_connect_timeout=None, socket_keepalive=False, socket_keepalive_options=None, socket_type=0, retry_on_timeout=False, retry_on_error=[], encoding="utf-8", encoding_errors="strict", decode_responses=False, parser_class=DefaultParser, socket_read_size=65536, health_check_interval=0, client_name=None, username=None, retry=None, redis_connect_func=None, ): """ Initialize a new Connection. To specify a retry policy for specific errors, first set `retry_on_error` to a list of the error/s to retry on, then set `retry` to a valid `Retry` object. To retry on TimeoutError, `retry_on_timeout` can also be set to `True`. """ self.pid = os.getpid() self.host = host self.port = int(port) self.db = db self.username = username self.client_name = client_name self.password = password self.socket_timeout = socket_timeout self.socket_connect_timeout = socket_connect_timeout or socket_timeout self.socket_keepalive = socket_keepalive self.socket_keepalive_options = socket_keepalive_options or {} self.socket_type = socket_type self.retry_on_timeout = retry_on_timeout if retry_on_timeout: # Add TimeoutError to the errors list to retry on retry_on_error.append(TimeoutError) self.retry_on_error = retry_on_error if retry_on_error: if retry is None: self.retry = Retry(NoBackoff(), 1) else: # deep-copy the Retry object as it is mutable self.retry = copy.deepcopy(retry) # Update the retry's supported errors with the specified errors self.retry.update_supported_erros(retry_on_error) else: self.retry = Retry(NoBackoff(), 0) self.health_check_interval = health_check_interval self.next_health_check = 0 self.redis_connect_func = redis_connect_func self.encoder = Encoder(encoding, encoding_errors, decode_responses) self._sock = None self._socket_read_size = socket_read_size self.set_parser(parser_class) self._connect_callbacks = [] self._buffer_cutoff = 6000 def __repr__(self): repr_args = ",".join([f"{k}={v}" for k, v in self.repr_pieces()]) return f"{self.__class__.__name__}<{repr_args}>" def repr_pieces(self): pieces = [("host", self.host), ("port", self.port), ("db", self.db)] if self.client_name: pieces.append(("client_name", self.client_name)) return pieces def __del__(self): try: self.disconnect() except Exception: pass def register_connect_callback(self, callback): self._connect_callbacks.append(weakref.WeakMethod(callback)) def clear_connect_callbacks(self): self._connect_callbacks = [] def set_parser(self, parser_class): """ Creates a new instance of parser_class with socket size: _socket_read_size and assigns it to the parser for the connection :param parser_class: The required parser class """ self._parser = parser_class(socket_read_size=self._socket_read_size) def connect(self): "Connects to the Redis server if not already connected" if self._sock: return try: sock = self._connect() except socket.timeout: raise TimeoutError("Timeout connecting to server") except OSError as e: raise ConnectionError(self._error_message(e)) self._sock = sock try: if self.redis_connect_func is None: # Use the default on_connect function self.on_connect() else: # Use the passed function redis_connect_func self.redis_connect_func(self) except RedisError: # clean up after any error in on_connect self.disconnect() raise # run any user callbacks. right now the only internal callback # is for pubsub channel/pattern resubscription for ref in self._connect_callbacks: callback = ref() if callback: callback(self) def _connect(self): "Create a TCP socket connection" # we want to mimic what socket.create_connection does to support # ipv4/ipv6, but we want to set options prior to calling # socket.connect() err = None for res in socket.getaddrinfo( self.host, self.port, self.socket_type, socket.SOCK_STREAM ): family, socktype, proto, canonname, socket_address = res sock = None try: sock = socket.socket(family, socktype, proto) # TCP_NODELAY sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1) # TCP_KEEPALIVE if self.socket_keepalive: sock.setsockopt(socket.SOL_SOCKET, socket.SO_KEEPALIVE, 1) for k, v in self.socket_keepalive_options.items(): sock.setsockopt(socket.IPPROTO_TCP, k, v) # set the socket_connect_timeout before we connect sock.settimeout(self.socket_connect_timeout) # connect sock.connect(socket_address) # set the socket_timeout now that we're connected sock.settimeout(self.socket_timeout) return sock except OSError as _: err = _ if sock is not None: sock.close() if err is not None: raise err raise OSError("socket.getaddrinfo returned an empty list") def _error_message(self, exception): # args for socket.error can either be (errno, "message") # or just "message" if len(exception.args) == 1: return f"Error connecting to {self.host}:{self.port}. {exception.args[0]}." else: return ( f"Error {exception.args[0]} connecting to " f"{self.host}:{self.port}. {exception.args[1]}." ) def on_connect(self): "Initialize the connection, authenticate and select a database" self._parser.on_connect(self) # if username and/or password are set, authenticate if self.username or self.password: if self.username: auth_args = (self.username, self.password or "") else: auth_args = (self.password,) # avoid checking health here -- PING will fail if we try # to check the health prior to the AUTH self.send_command("AUTH", *auth_args, check_health=False) try: auth_response = self.read_response() except AuthenticationWrongNumberOfArgsError: # a username and password were specified but the Redis # server seems to be < 6.0.0 which expects a single password # arg. retry auth with just the password. # https://github.com/andymccurdy/redis-py/issues/1274 self.send_command("AUTH", self.password, check_health=False) auth_response = self.read_response() if str_if_bytes(auth_response) != "OK": raise AuthenticationError("Invalid Username or Password") # if a client_name is given, set it if self.client_name: self.send_command("CLIENT", "SETNAME", self.client_name) if str_if_bytes(self.read_response()) != "OK": raise ConnectionError("Error setting client name") # if a database is specified, switch to it if self.db: self.send_command("SELECT", self.db) if str_if_bytes(self.read_response()) != "OK": raise ConnectionError("Invalid Database") def disconnect(self): "Disconnects from the Redis server" self._parser.on_disconnect() if self._sock is None: return if os.getpid() == self.pid: try: self._sock.shutdown(socket.SHUT_RDWR) except OSError: pass try: self._sock.close() except OSError: pass self._sock = None def _send_ping(self): """Send PING, expect PONG in return""" self.send_command("PING", check_health=False) if str_if_bytes(self.read_response()) != "PONG": raise ConnectionError("Bad response from PING health check") def _ping_failed(self, error): """Function to call when PING fails""" self.disconnect() def check_health(self): """Check the health of the connection with a PING/PONG""" if self.health_check_interval and time() > self.next_health_check: self.retry.call_with_retry(self._send_ping, self._ping_failed) def send_packed_command(self, command, check_health=True): """Send an already packed command to the Redis server""" if not self._sock: self.connect() # guard against health check recursion if check_health: self.check_health() try: if isinstance(command, str): command = [command] for item in command: self._sock.sendall(item) except socket.timeout: self.disconnect() raise TimeoutError("Timeout writing to socket") except OSError as e: self.disconnect() if len(e.args) == 1: errno, errmsg = "UNKNOWN", e.args[0] else: errno = e.args[0] errmsg = e.args[1] raise ConnectionError(f"Error {errno} while writing to socket. {errmsg}.") except BaseException: self.disconnect() raise def send_command(self, *args, **kwargs): """Pack and send a command to the Redis server""" self.send_packed_command( self.pack_command(*args), check_health=kwargs.get("check_health", True) ) def can_read(self, timeout=0): """Poll the socket to see if there's data that can be read.""" sock = self._sock if not sock: self.connect() return self._parser.can_read(timeout) def read_response(self, disable_decoding=False): """Read the response from a previously sent command""" try: response = self._parser.read_response(disable_decoding=disable_decoding) except socket.timeout: self.disconnect() raise TimeoutError(f"Timeout reading from {self.host}:{self.port}") except OSError as e: self.disconnect() raise ConnectionError( f"Error while reading from {self.host}:{self.port}" f" : {e.args}" ) except BaseException: self.disconnect() raise if self.health_check_interval: self.next_health_check = time() + self.health_check_interval if isinstance(response, ResponseError): raise response return response def pack_command(self, *args): """Pack a series of arguments into the Redis protocol""" output = [] # the client might have included 1 or more literal arguments in # the command name, e.g., 'CONFIG GET'. The Redis server expects these # arguments to be sent separately, so split the first argument # manually. These arguments should be bytestrings so that they are # not encoded. if isinstance(args[0], str): args = tuple(args[0].encode().split()) + args[1:] elif b" " in args[0]: args = tuple(args[0].split()) + args[1:] buff = SYM_EMPTY.join((SYM_STAR, str(len(args)).encode(), SYM_CRLF)) buffer_cutoff = self._buffer_cutoff for arg in map(self.encoder.encode, args): # to avoid large string mallocs, chunk the command into the # output list if we're sending large values or memoryviews arg_length = len(arg) if ( len(buff) > buffer_cutoff or arg_length > buffer_cutoff or isinstance(arg, memoryview) ): buff = SYM_EMPTY.join( (buff, SYM_DOLLAR, str(arg_length).encode(), SYM_CRLF) ) output.append(buff) output.append(arg) buff = SYM_CRLF else: buff = SYM_EMPTY.join( ( buff, SYM_DOLLAR, str(arg_length).encode(), SYM_CRLF, arg, SYM_CRLF, ) ) output.append(buff) return output def pack_commands(self, commands): """Pack multiple commands into the Redis protocol""" output = [] pieces = [] buffer_length = 0 buffer_cutoff = self._buffer_cutoff for cmd in commands: for chunk in self.pack_command(*cmd): chunklen = len(chunk) if ( buffer_length > buffer_cutoff or chunklen > buffer_cutoff or isinstance(chunk, memoryview) ): output.append(SYM_EMPTY.join(pieces)) buffer_length = 0 pieces = [] if chunklen > buffer_cutoff or isinstance(chunk, memoryview): output.append(chunk) else: pieces.append(chunk) buffer_length += chunklen if pieces: output.append(SYM_EMPTY.join(pieces)) return output class SSLConnection(Connection): """Manages SSL connections to and from the Redis server(s). This class extends the Connection class, adding SSL functionality, and making use of ssl.SSLContext (https://docs.python.org/3/library/ssl.html#ssl.SSLContext) """ # noqa def __init__( self, ssl_keyfile=None, ssl_certfile=None, ssl_cert_reqs="required", ssl_ca_certs=None, ssl_check_hostname=False, ssl_ca_path=None, ssl_password=None, ssl_validate_ocsp=False, **kwargs, ): """Constructor Args: ssl_keyfile: Path to an ssl private key. Defaults to None. ssl_certfile: Path to an ssl certificate. Defaults to None. ssl_cert_reqs: The string value for the SSLContext.verify_mode (none, optional, required). Defaults to "required". ssl_ca_certs: The path to a file of concatenated CA certificates in PEM format. Defaults to None. ssl_check_hostname: If set, match the hostname during the SSL handshake. Defaults to False. ssl_ca_path: The path to a directory containing several CA certificates in PEM format. Defaults to None. ssl_password: Password for unlocking an encrypted private key. Defaults to None. Raises: RedisError """ # noqa if not ssl_available: raise RedisError("Python wasn't built with SSL support") super().__init__(**kwargs) self.keyfile = ssl_keyfile self.certfile = ssl_certfile if ssl_cert_reqs is None: ssl_cert_reqs = ssl.CERT_NONE elif isinstance(ssl_cert_reqs, str): CERT_REQS = { "none": ssl.CERT_NONE, "optional": ssl.CERT_OPTIONAL, "required": ssl.CERT_REQUIRED, } if ssl_cert_reqs not in CERT_REQS: raise RedisError( f"Invalid SSL Certificate Requirements Flag: {ssl_cert_reqs}" ) ssl_cert_reqs = CERT_REQS[ssl_cert_reqs] self.cert_reqs = ssl_cert_reqs self.ca_certs = ssl_ca_certs self.ca_path = ssl_ca_path self.check_hostname = ssl_check_hostname self.certificate_password = ssl_password self.ssl_validate_ocsp = ssl_validate_ocsp def _connect(self): "Wrap the socket with SSL support" sock = super()._connect() context = ssl.create_default_context() context.check_hostname = self.check_hostname context.verify_mode = self.cert_reqs if self.certfile or self.keyfile: context.load_cert_chain( certfile=self.certfile, keyfile=self.keyfile, password=self.certificate_password, ) if self.ca_certs is not None or self.ca_path is not None: context.load_verify_locations(cafile=self.ca_certs, capath=self.ca_path) sslsock = context.wrap_socket(sock, server_hostname=self.host) if self.ssl_validate_ocsp is True and CRYPTOGRAPHY_AVAILABLE is False: raise RedisError("cryptography is not installed.") elif self.ssl_validate_ocsp is True and CRYPTOGRAPHY_AVAILABLE: from .ocsp import OCSPVerifier o = OCSPVerifier(sslsock, self.host, self.port, self.ca_certs) if o.is_valid(): return sslsock else: raise ConnectionError("ocsp validation error") return sslsock class UnixDomainSocketConnection(Connection): def __init__( self, path="", db=0, username=None, password=None, socket_timeout=None, encoding="utf-8", encoding_errors="strict", decode_responses=False, retry_on_timeout=False, retry_on_error=[], parser_class=DefaultParser, socket_read_size=65536, health_check_interval=0, client_name=None, retry=None, redis_connect_func=None, ): """ Initialize a new UnixDomainSocketConnection. To specify a retry policy for specific errors, first set `retry_on_error` to a list of the error/s to retry on, then set `retry` to a valid `Retry` object. To retry on TimeoutError, `retry_on_timeout` can also be set to `True`. """ self.pid = os.getpid() self.path = path self.db = db self.username = username self.client_name = client_name self.password = password self.socket_timeout = socket_timeout self.retry_on_timeout = retry_on_timeout if retry_on_timeout: # Add TimeoutError to the errors list to retry on retry_on_error.append(TimeoutError) self.retry_on_error = retry_on_error if self.retry_on_error: if retry is None: self.retry = Retry(NoBackoff(), 1) else: # deep-copy the Retry object as it is mutable self.retry = copy.deepcopy(retry) # Update the retry's supported errors with the specified errors self.retry.update_supported_erros(retry_on_error) else: self.retry = Retry(NoBackoff(), 0) self.health_check_interval = health_check_interval self.next_health_check = 0 self.redis_connect_func = redis_connect_func self.encoder = Encoder(encoding, encoding_errors, decode_responses) self._sock = None self._socket_read_size = socket_read_size self.set_parser(parser_class) self._connect_callbacks = [] self._buffer_cutoff = 6000 def repr_pieces(self): pieces = [ ("path", self.path), ("db", self.db), ] if self.client_name: pieces.append(("client_name", self.client_name)) return pieces def _connect(self): "Create a Unix domain socket connection" sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) sock.settimeout(self.socket_timeout) sock.connect(self.path) return sock def _error_message(self, exception): # args for socket.error can either be (errno, "message") # or just "message" if len(exception.args) == 1: return f"Error connecting to unix socket: {self.path}. {exception.args[0]}." else: return ( f"Error {exception.args[0]} connecting to unix socket: " f"{self.path}. {exception.args[1]}." ) FALSE_STRINGS = ("0", "F", "FALSE", "N", "NO") def to_bool(value): if value is None or value == "": return None if isinstance(value, str) and value.upper() in FALSE_STRINGS: return False return bool(value) URL_QUERY_ARGUMENT_PARSERS = { "db": int, "socket_timeout": float, "socket_connect_timeout": float, "socket_keepalive": to_bool, "retry_on_timeout": to_bool, "retry_on_error": list, "max_connections": int, "health_check_interval": int, "ssl_check_hostname": to_bool, } def parse_url(url): url = urlparse(url) kwargs = {} for name, value in parse_qs(url.query).items(): if value and len(value) > 0: value = unquote(value[0]) parser = URL_QUERY_ARGUMENT_PARSERS.get(name) if parser: try: kwargs[name] = parser(value) except (TypeError, ValueError): raise ValueError(f"Invalid value for `{name}` in connection URL.") else: kwargs[name] = value if url.username: kwargs["username"] = unquote(url.username) if url.password: kwargs["password"] = unquote(url.password) # We only support redis://, rediss:// and unix:// schemes. if url.scheme == "unix": if url.path: kwargs["path"] = unquote(url.path) kwargs["connection_class"] = UnixDomainSocketConnection elif url.scheme in ("redis", "rediss"): if url.hostname: kwargs["host"] = unquote(url.hostname) if url.port: kwargs["port"] = int(url.port) # If there's a path argument, use it as the db argument if a # querystring value wasn't specified if url.path and "db" not in kwargs: try: kwargs["db"] = int(unquote(url.path).replace("/", "")) except (AttributeError, ValueError): pass if url.scheme == "rediss": kwargs["connection_class"] = SSLConnection else: raise ValueError( "Redis URL must specify one of the following " "schemes (redis://, rediss://, unix://)" ) return kwargs class ConnectionPool: """ Create a connection pool. ``If max_connections`` is set, then this object raises :py:class:`~redis.ConnectionError` when the pool's limit is reached. By default, TCP connections are created unless ``connection_class`` is specified. Use :py:class:`~redis.UnixDomainSocketConnection` for unix sockets. Any additional keyword arguments are passed to the constructor of ``connection_class``. """ @classmethod def from_url(cls, url, **kwargs): """ Return a connection pool configured from the given URL. For example:: redis://[[username]:[password]]@localhost:6379/0 rediss://[[username]:[password]]@localhost:6379/0 unix://[[username]:[password]]@/path/to/socket.sock?db=0 Three URL schemes are supported: - `redis://` creates a TCP socket connection. See more at: <https://www.iana.org/assignments/uri-schemes/prov/redis> - `rediss://` creates a SSL wrapped TCP socket connection. See more at: <https://www.iana.org/assignments/uri-schemes/prov/rediss> - ``unix://``: creates a Unix Domain Socket connection. The username, password, hostname, path and all querystring values are passed through urllib.parse.unquote in order to replace any percent-encoded values with their corresponding characters. There are several ways to specify a database number. The first value found will be used: 1. A ``db`` querystring option, e.g. redis://localhost?db=0 2. If using the redis:// or rediss:// schemes, the path argument of the url, e.g. redis://localhost/0 3. A ``db`` keyword argument to this function. If none of these options are specified, the default db=0 is used. All querystring options are cast to their appropriate Python types. Boolean arguments can be specified with string values "True"/"False" or "Yes"/"No". Values that cannot be properly cast cause a ``ValueError`` to be raised. Once parsed, the querystring arguments and keyword arguments are passed to the ``ConnectionPool``'s class initializer. In the case of conflicting arguments, querystring arguments always win. """ url_options = parse_url(url) if "connection_class" in kwargs: url_options["connection_class"] = kwargs["connection_class"] kwargs.update(url_options) return cls(**kwargs) def __init__( self, connection_class=Connection, max_connections=None, **connection_kwargs ): max_connections = max_connections or 2 ** 31 if not isinstance(max_connections, int) or max_connections < 0: raise ValueError('"max_connections" must be a positive integer') self.connection_class = connection_class self.connection_kwargs = connection_kwargs self.max_connections = max_connections # a lock to protect the critical section in _checkpid(). # this lock is acquired when the process id changes, such as # after a fork. during this time, multiple threads in the child # process could attempt to acquire this lock. the first thread # to acquire the lock will reset the data structures and lock # object of this pool. subsequent threads acquiring this lock # will notice the first thread already did the work and simply # release the lock. self._fork_lock = threading.Lock() self.reset() def __repr__(self): return ( f"{type(self).__name__}" f"<{repr(self.connection_class(**self.connection_kwargs))}>" ) def reset(self): self._lock = threading.Lock() self._created_connections = 0 self._available_connections = [] self._in_use_connections = set() # this must be the last operation in this method. while reset() is # called when holding _fork_lock, other threads in this process # can call _checkpid() which compares self.pid and os.getpid() without # holding any lock (for performance reasons). keeping this assignment # as the last operation ensures that those other threads will also # notice a pid difference and block waiting for the first thread to # release _fork_lock. when each of these threads eventually acquire # _fork_lock, they will notice that another thread already called # reset() and they will immediately release _fork_lock and continue on. self.pid = os.getpid() def _checkpid(self): # _checkpid() attempts to keep ConnectionPool fork-safe on modern # systems. this is called by all ConnectionPool methods that # manipulate the pool's state such as get_connection() and release(). # # _checkpid() determines whether the process has forked by comparing # the current process id to the process id saved on the ConnectionPool # instance. if these values are the same, _checkpid() simply returns. # # when the process ids differ, _checkpid() assumes that the process # has forked and that we're now running in the child process. the child # process cannot use the parent's file descriptors (e.g., sockets). # therefore, when _checkpid() sees the process id change, it calls # reset() in order to reinitialize the child's ConnectionPool. this # will cause the child to make all new connection objects. # # _checkpid() is protected by self._fork_lock to ensure that multiple # threads in the child process do not call reset() multiple times. # # there is an extremely small chance this could fail in the following # scenario: # 1. process A calls _checkpid() for the first time and acquires # self._fork_lock. # 2. while holding self._fork_lock, process A forks (the fork() # could happen in a different thread owned by process A) # 3. process B (the forked child process) inherits the # ConnectionPool's state from the parent. that state includes # a locked _fork_lock. process B will not be notified when # process A releases the _fork_lock and will thus never be # able to acquire the _fork_lock. # # to mitigate this possible deadlock, _checkpid() will only wait 5 # seconds to acquire _fork_lock. if _fork_lock cannot be acquired in # that time it is assumed that the child is deadlocked and a # redis.ChildDeadlockedError error is raised. if self.pid != os.getpid(): acquired = self._fork_lock.acquire(timeout=5) if not acquired: raise ChildDeadlockedError # reset() the instance for the new process if another thread # hasn't already done so try: if self.pid != os.getpid(): self.reset() finally: self._fork_lock.release() def get_connection(self, command_name, *keys, **options): "Get a connection from the pool" self._checkpid() with self._lock: try: connection = self._available_connections.pop() except IndexError: connection = self.make_connection() self._in_use_connections.add(connection) try: # ensure this connection is connected to Redis connection.connect() # connections that the pool provides should be ready to send # a command. if not, the connection was either returned to the # pool before all data has been read or the socket has been # closed. either way, reconnect and verify everything is good. try: if connection.can_read(): raise ConnectionError("Connection has data") except ConnectionError: connection.disconnect() connection.connect() if connection.can_read(): raise ConnectionError("Connection not ready") except BaseException: # release the connection back to the pool so that we don't # leak it self.release(connection) raise return connection def get_encoder(self): "Return an encoder based on encoding settings" kwargs = self.connection_kwargs return Encoder( encoding=kwargs.get("encoding", "utf-8"), encoding_errors=kwargs.get("encoding_errors", "strict"), decode_responses=kwargs.get("decode_responses", False), ) def make_connection(self): "Create a new connection" if self._created_connections >= self.max_connections: raise ConnectionError("Too many connections") self._created_connections += 1 return self.connection_class(**self.connection_kwargs) def release(self, connection): "Releases the connection back to the pool" self._checkpid() with self._lock: try: self._in_use_connections.remove(connection) except KeyError: # Gracefully fail when a connection is returned to this pool # that the pool doesn't actually own pass if self.owns_connection(connection): self._available_connections.append(connection) else: # pool doesn't own this connection. do not add it back # to the pool and decrement the count so that another # connection can take its place if needed self._created_connections -= 1 connection.disconnect() return def owns_connection(self, connection): return connection.pid == self.pid def disconnect(self, inuse_connections=True): """ Disconnects connections in the pool If ``inuse_connections`` is True, disconnect connections that are current in use, potentially by other threads. Otherwise only disconnect connections that are idle in the pool. """ self._checkpid() with self._lock: if inuse_connections: connections = chain( self._available_connections, self._in_use_connections ) else: connections = self._available_connections for connection in connections: connection.disconnect() class BlockingConnectionPool(ConnectionPool): """ Thread-safe blocking connection pool:: >>> from redis.client import Redis >>> client = Redis(connection_pool=BlockingConnectionPool()) It performs the same function as the default :py:class:`~redis.ConnectionPool` implementation, in that, it maintains a pool of reusable connections that can be shared by multiple redis clients (safely across threads if required). The difference is that, in the event that a client tries to get a connection from the pool when all of connections are in use, rather than raising a :py:class:`~redis.ConnectionError` (as the default :py:class:`~redis.ConnectionPool` implementation does), it makes the client wait ("blocks") for a specified number of seconds until a connection becomes available. Use ``max_connections`` to increase / decrease the pool size:: >>> pool = BlockingConnectionPool(max_connections=10) Use ``timeout`` to tell it either how many seconds to wait for a connection to become available, or to block forever: >>> # Block forever. >>> pool = BlockingConnectionPool(timeout=None) >>> # Raise a ``ConnectionError`` after five seconds if a connection is >>> # not available. >>> pool = BlockingConnectionPool(timeout=5) """ def __init__( self, max_connections=50, timeout=20, connection_class=Connection, queue_class=LifoQueue, **connection_kwargs, ): self.queue_class = queue_class self.timeout = timeout super().__init__( connection_class=connection_class, max_connections=max_connections, **connection_kwargs, ) def reset(self): # Create and fill up a thread safe queue with ``None`` values. self.pool = self.queue_class(self.max_connections) while True: try: self.pool.put_nowait(None) except Full: break # Keep a list of actual connection instances so that we can # disconnect them later. self._connections = [] # this must be the last operation in this method. while reset() is # called when holding _fork_lock, other threads in this process # can call _checkpid() which compares self.pid and os.getpid() without # holding any lock (for performance reasons). keeping this assignment # as the last operation ensures that those other threads will also # notice a pid difference and block waiting for the first thread to # release _fork_lock. when each of these threads eventually acquire # _fork_lock, they will notice that another thread already called # reset() and they will immediately release _fork_lock and continue on. self.pid = os.getpid() def make_connection(self): "Make a fresh connection." connection = self.connection_class(**self.connection_kwargs) self._connections.append(connection) return connection def get_connection(self, command_name, *keys, **options): """ Get a connection, blocking for ``self.timeout`` until a connection is available from the pool. If the connection returned is ``None`` then creates a new connection. Because we use a last-in first-out queue, the existing connections (having been returned to the pool after the initial ``None`` values were added) will be returned before ``None`` values. This means we only create new connections when we need to, i.e.: the actual number of connections will only increase in response to demand. """ # Make sure we haven't changed process. self._checkpid() # Try and get a connection from the pool. If one isn't available within # self.timeout then raise a ``ConnectionError``. connection = None try: connection = self.pool.get(block=True, timeout=self.timeout) except Empty: # Note that this is not caught by the redis client and will be # raised unless handled by application code. If you want never to raise ConnectionError("No connection available.") # If the ``connection`` is actually ``None`` then that's a cue to make # a new connection to add to the pool. if connection is None: connection = self.make_connection() try: # ensure this connection is connected to Redis connection.connect() # connections that the pool provides should be ready to send # a command. if not, the connection was either returned to the # pool before all data has been read or the socket has been # closed. either way, reconnect and verify everything is good. try: if connection.can_read(): raise ConnectionError("Connection has data") except ConnectionError: connection.disconnect() connection.connect() if connection.can_read(): raise ConnectionError("Connection not ready") except BaseException: # release the connection back to the pool so that we don't leak it self.release(connection) raise return connection def release(self, connection): "Releases the connection back to the pool." # Make sure we haven't changed process. self._checkpid() if not self.owns_connection(connection): # pool doesn't own this connection. do not add it back # to the pool. instead add a None value which is a placeholder # that will cause the pool to recreate the connection if # its needed. connection.disconnect() self.pool.put_nowait(None) return # Put the connection back into the pool. try: self.pool.put_nowait(connection) except Full: # perhaps the pool has been reset() after a fork? regardless, # we don't want this connection pass def disconnect(self): "Disconnects all connections in the pool." self._checkpid() for connection in self._connections: connection.disconnect()

37.431701

126

0.609633

321082411933c2a997df250a29e221806c1a5efd

1,006

py

Python

Edge_Detection_Examples/EdgeSlider.py

user2745/BeeFanningDetector

52d562c3c2a40179386ae3e04b02631e92c5747b

[ "MIT" ]

3

2020-01-01T17:42:24.000Z

2020-05-28T15:30:33.000Z

Edge_Detection_Examples/EdgeSlider.py

user2745/BeeFanningDetector

52d562c3c2a40179386ae3e04b02631e92c5747b

[ "MIT" ]

2

2020-01-21T06:18:10.000Z

2020-04-20T22:51:15.000Z

Edge_Detection_Examples/EdgeSlider.py

user2745/BeeFanningDetector

52d562c3c2a40179386ae3e04b02631e92c5747b

[ "MIT" ]

1

2020-01-20T05:57:40.000Z

from __future__ import print_function import cv2 as cv import argparse import sys max_lowThreshold = 100 window_name = sys.argv[2] title_trackbar = 'Min Threshold:' ratio = 2 kernel_size = 3 def CannyThreshold(val): low_threshold = val img_blur = cv.blur(src_gray, (3,3), 0) detected_edges = cv.Canny(img_blur, low_threshold, low_threshold*ratio) mask = detected_edges != 0 dst = src * (mask[:,:,None].astype(src.dtype)) cv.imshow(window_name, detected_edges) parser = argparse.ArgumentParser(description='Code for Canny Edge Detector tutorial.') parser.add_argument('--input', help='Path to input image.', default=sys.argv[2]) args = parser.parse_args() src = cv.imread(cv.samples.findFile(args.input)) if src is None: print('Could not open or find the image: ', args.input) exit(0) src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY) cv.namedWindow(window_name) cv.createTrackbar(title_trackbar, window_name , 0, max_lowThreshold, CannyThreshold) CannyThreshold(0) cv.waitKey()

35.928571

86

0.747515

be7f075fea00a4570d50fd30f1685139b70a8bb6

123

py

Python

configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py

evgps/mmdetection_trashcan

aaf4237c2c0d473425cdc7b741d3009177b79751

[ "Apache-2.0" ]

426

2020-10-16T08:09:27.000Z

2022-03-30T03:36:04.000Z

configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py

evgps/mmdetection_trashcan

aaf4237c2c0d473425cdc7b741d3009177b79751

[ "Apache-2.0" ]

170

2020-09-08T12:29:06.000Z

2022-03-31T18:28:09.000Z

configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py

evgps/mmdetection_trashcan

aaf4237c2c0d473425cdc7b741d3009177b79751

[ "Apache-2.0" ]

61

2021-07-30T07:51:41.000Z

2022-03-30T14:40:02.000Z

_base_ = './vfnet_r50_fpn_mstrain_2x_coco.py' model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))

41

76

0.780488

c66402e8e11b9b0cedd0f70dd4582e22bf6ab570

8,335

py

Python

sdk/lusid_asyncio/models/paged_resource_list_of_compliance_rule_result.py

finbourne/lusid-sdk-python-asyncio-preview

290f93590ab5485661216c8622d3de9f7af0ed60

[ "MIT" ]

null

sdk/lusid_asyncio/models/paged_resource_list_of_compliance_rule_result.py

finbourne/lusid-sdk-python-asyncio-preview

290f93590ab5485661216c8622d3de9f7af0ed60

[ "MIT" ]

null

sdk/lusid_asyncio/models/paged_resource_list_of_compliance_rule_result.py

finbourne/lusid-sdk-python-asyncio-preview

290f93590ab5485661216c8622d3de9f7af0ed60

[ "MIT" ]

null

# coding: utf-8 """ LUSID API FINBOURNE Technology # noqa: E501 The version of the OpenAPI document: 0.11.3923 Contact: info@finbourne.com Generated by: https://openapi-generator.tech """ try: from inspect import getfullargspec except ImportError: from inspect import getargspec as getfullargspec import pprint import re # noqa: F401 import six from lusid_asyncio.configuration import Configuration class PagedResourceListOfComplianceRuleResult(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. required_map (dict): The key is attribute name and the value is whether it is 'required' or 'optional'. """ openapi_types = { 'next_page': 'str', 'previous_page': 'str', 'values': 'list[ComplianceRuleResult]', 'href': 'str', 'links': 'list[Link]' } attribute_map = { 'next_page': 'nextPage', 'previous_page': 'previousPage', 'values': 'values', 'href': 'href', 'links': 'links' } required_map = { 'next_page': 'optional', 'previous_page': 'optional', 'values': 'required', 'href': 'optional', 'links': 'optional' } def __init__(self, next_page=None, previous_page=None, values=None, href=None, links=None, local_vars_configuration=None): # noqa: E501 """PagedResourceListOfComplianceRuleResult - a model defined in OpenAPI" :param next_page: The next page of results. :type next_page: str :param previous_page: The previous page of results. :type previous_page: str :param values: The resources to list. (required) :type values: list[lusid_asyncio.ComplianceRuleResult] :param href: The URI of the resource list. :type href: str :param links: Collection of links. :type links: list[lusid_asyncio.Link] """ # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration.get_default_copy() self.local_vars_configuration = local_vars_configuration self._next_page = None self._previous_page = None self._values = None self._href = None self._links = None self.discriminator = None self.next_page = next_page self.previous_page = previous_page self.values = values self.href = href self.links = links @property def next_page(self): """Gets the next_page of this PagedResourceListOfComplianceRuleResult. # noqa: E501 The next page of results. # noqa: E501 :return: The next_page of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :rtype: str """ return self._next_page @next_page.setter def next_page(self, next_page): """Sets the next_page of this PagedResourceListOfComplianceRuleResult. The next page of results. # noqa: E501 :param next_page: The next_page of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :type next_page: str """ self._next_page = next_page @property def previous_page(self): """Gets the previous_page of this PagedResourceListOfComplianceRuleResult. # noqa: E501 The previous page of results. # noqa: E501 :return: The previous_page of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :rtype: str """ return self._previous_page @previous_page.setter def previous_page(self, previous_page): """Sets the previous_page of this PagedResourceListOfComplianceRuleResult. The previous page of results. # noqa: E501 :param previous_page: The previous_page of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :type previous_page: str """ self._previous_page = previous_page @property def values(self): """Gets the values of this PagedResourceListOfComplianceRuleResult. # noqa: E501 The resources to list. # noqa: E501 :return: The values of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :rtype: list[lusid_asyncio.ComplianceRuleResult] """ return self._values @values.setter def values(self, values): """Sets the values of this PagedResourceListOfComplianceRuleResult. The resources to list. # noqa: E501 :param values: The values of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :type values: list[lusid_asyncio.ComplianceRuleResult] """ if self.local_vars_configuration.client_side_validation and values is None: # noqa: E501 raise ValueError("Invalid value for `values`, must not be `None`") # noqa: E501 self._values = values @property def href(self): """Gets the href of this PagedResourceListOfComplianceRuleResult. # noqa: E501 The URI of the resource list. # noqa: E501 :return: The href of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :rtype: str """ return self._href @href.setter def href(self, href): """Sets the href of this PagedResourceListOfComplianceRuleResult. The URI of the resource list. # noqa: E501 :param href: The href of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :type href: str """ self._href = href @property def links(self): """Gets the links of this PagedResourceListOfComplianceRuleResult. # noqa: E501 Collection of links. # noqa: E501 :return: The links of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :rtype: list[lusid_asyncio.Link] """ return self._links @links.setter def links(self, links): """Sets the links of this PagedResourceListOfComplianceRuleResult. Collection of links. # noqa: E501 :param links: The links of this PagedResourceListOfComplianceRuleResult. # noqa: E501 :type links: list[lusid_asyncio.Link] """ self._links = links def to_dict(self, serialize=False): """Returns the model properties as a dict""" result = {} def convert(x): if hasattr(x, "to_dict"): args = getfullargspec(x.to_dict).args if len(args) == 1: return x.to_dict() else: return x.to_dict(serialize) else: return x for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) attr = self.attribute_map.get(attr, attr) if serialize else attr if isinstance(value, list): result[attr] = list(map( lambda x: convert(x), value )) elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], convert(item[1])), value.items() )) else: result[attr] = convert(value) return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, PagedResourceListOfComplianceRuleResult): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, PagedResourceListOfComplianceRuleResult): return True return self.to_dict() != other.to_dict()

31.217228

140

0.616197