xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

15f4d69db682093ca5736a39d9b778587d349ed4

75

py

Python

trello2toggl/__init__.py

dobarkod/trello2toggl

303c76db46932d7594f9ef19529c3992d641ec9f

[ "Unlicense" ]

1

2015-02-01T22:40:47.000Z

trello2toggl/__init__.py

dobarkod/trello2toggl

303c76db46932d7594f9ef19529c3992d641ec9f

[ "Unlicense" ]

null

trello2toggl/__init__.py

dobarkod/trello2toggl

303c76db46932d7594f9ef19529c3992d641ec9f

[ "Unlicense" ]

1

2021-07-08T09:48:45.000Z

from .toggl import Toggl from .trello import Trello from .sync import Sync

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15f98b3fdf6e445a4ed4d8fc40bb23b2f95d1769

657

py

Python

Projects/project05/dequeue-shrink.py

tonysulfaro/CSE-331

b4f743b1127ebe531ba8417420d043e9c149135a

[ "MIT" ]

2

2019-02-13T17:49:18.000Z

2020-09-30T04:51:53.000Z

Projects/project05/dequeue-shrink.py

tonysulfaro/CSE-331

b4f743b1127ebe531ba8417420d043e9c149135a

[ "MIT" ]

null

Projects/project05/dequeue-shrink.py

tonysulfaro/CSE-331

b4f743b1127ebe531ba8417420d043e9c149135a

[ "MIT" ]

null

from CircularQueue import CircularQueue def main(): test = CircularQueue(15) test.enqueue(3) test.enqueue(3) test.enqueue(3) test.enqueue(3) test.enqueue(3) test.enqueue(3) test.enqueue(3) test.enqueue(3) print(test) print('REMOVE') test.dequeue() test.dequeue() test.enqueue(5) test.enqueue(5) test.enqueue(5) test.enqueue(5) test.dequeue() test.dequeue() test.dequeue() test.dequeue() test.dequeue() # test.dequeue() # test.dequeue() # test.dequeue() # test.dequeue() # test.dequeue() print(test) if __name__ == '__main__': main()

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c6211a0a6b5d830c804d3c7b5d6cf0a9360420f4

1,568

py

Python

test/test_v1alpha1_application_spec.py

RyanSiu1995/argocd-python-client

2e8f097fe09f247a46ac70692241a93d1acd076a

[ "MIT" ]

1

2021-11-20T13:37:43.000Z

test/test_v1alpha1_application_spec.py

RyanSiu1995/argocd-python-client

2e8f097fe09f247a46ac70692241a93d1acd076a

[ "MIT" ]

null

test/test_v1alpha1_application_spec.py

RyanSiu1995/argocd-python-client

2e8f097fe09f247a46ac70692241a93d1acd076a

[ "MIT" ]

null

""" Consolidate Services Description of all APIs # noqa: E501 The version of the OpenAPI document: version not set Generated by: https://openapi-generator.tech """ import sys import unittest import argocd_python_client from argocd_python_client.model.v1alpha1_application_destination import V1alpha1ApplicationDestination from argocd_python_client.model.v1alpha1_application_source import V1alpha1ApplicationSource from argocd_python_client.model.v1alpha1_info import V1alpha1Info from argocd_python_client.model.v1alpha1_resource_ignore_differences import V1alpha1ResourceIgnoreDifferences from argocd_python_client.model.v1alpha1_sync_policy import V1alpha1SyncPolicy globals()['V1alpha1ApplicationDestination'] = V1alpha1ApplicationDestination globals()['V1alpha1ApplicationSource'] = V1alpha1ApplicationSource globals()['V1alpha1Info'] = V1alpha1Info globals()['V1alpha1ResourceIgnoreDifferences'] = V1alpha1ResourceIgnoreDifferences globals()['V1alpha1SyncPolicy'] = V1alpha1SyncPolicy from argocd_python_client.model.v1alpha1_application_spec import V1alpha1ApplicationSpec class TestV1alpha1ApplicationSpec(unittest.TestCase): """V1alpha1ApplicationSpec unit test stubs""" def setUp(self): pass def tearDown(self): pass def testV1alpha1ApplicationSpec(self): """Test V1alpha1ApplicationSpec""" # FIXME: construct object with mandatory attributes with example values # model = V1alpha1ApplicationSpec() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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5

d6a73b4f51ee405dcff8b521c7e25aaace010e74

247

py

Python

batch/twitter_setting.py

happou31/dora-stat

1405fff5d77fc01c4af7811388bc1003a840545d

[ "MIT" ]

null

batch/twitter_setting.py

happou31/dora-stat

1405fff5d77fc01c4af7811388bc1003a840545d

[ "MIT" ]

null

batch/twitter_setting.py

happou31/dora-stat

1405fff5d77fc01c4af7811388bc1003a840545d

[ "MIT" ]

null

consumer_key = "TSKf1HtYKBsnYU9qfpvbRJkxo" consumer_secret = "Y5lH7u6MDu5DjV5hUxEkwUpPwugYvEuqfpqyvP7y5ulen9XUML" access_token = '115029611-4TampaXbxHmUHcpK5Cll8h7rioP80SJMNneZiYCN' access_secret = 'wx4iaVvgvY5ZknCn6bOiKFiTzAU62R5PXC8b29RC6alwU'

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d6b55b5caf47a3dab29dc3b05fc2f754488f7b0e

37,057

py

Python

ros/genpy/src/genpy/msg/_TestManyFields.py

numberen/apollo-platform

8f359c8d00dd4a98f56ec2276c5663cb6c100e47

[ "Apache-2.0" ]

742

2017-07-05T02:49:36.000Z

2022-03-30T12:55:43.000Z

ros/genpy/src/genpy/msg/_TestManyFields.py

numberen/apollo-platform

8f359c8d00dd4a98f56ec2276c5663cb6c100e47

[ "Apache-2.0" ]

73

2017-07-06T12:50:51.000Z

2022-03-07T08:07:07.000Z

ros/genpy/src/genpy/msg/_TestManyFields.py

numberen/apollo-platform

8f359c8d00dd4a98f56ec2276c5663cb6c100e47

[ "Apache-2.0" ]

425

2017-07-04T22:03:29.000Z

2022-03-29T06:59:06.000Z

"""autogenerated by genpy from genpy/TestManyFields.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class TestManyFields(genpy.Message): _md5sum = "e95ce9e480ec14cc0488f63b5e806d93" _type = "genpy/TestManyFields" _has_header = False #flag to mark the presence of a Header object _full_text = """int32 v1 int32 v2 int32 v3 int32 v4 int32 v5 int32 v6 int32 v7 int32 v8 int32 v9 int32 v10 int32 v11 int32 v12 int32 v13 int32 v14 int32 v15 int32 v16 int32 v17 int32 v18 int32 v19 int32 v20 int32 v21 int32 v22 int32 v23 int32 v24 int32 v25 int32 v26 int32 v27 int32 v28 int32 v29 int32 v30 int32 v31 int32 v32 int32 v33 int32 v34 int32 v35 int32 v36 int32 v37 int32 v38 int32 v39 int32 v40 int32 v41 int32 v42 int32 v43 int32 v44 int32 v45 int32 v46 int32 v47 int32 v48 int32 v49 int32 v50 int32 v51 int32 v52 int32 v53 int32 v54 int32 v55 int32 v56 int32 v57 int32 v58 int32 v59 int32 v60 int32 v61 int32 v62 int32 v63 int32 v64 int32 v65 int32 v66 int32 v67 int32 v68 int32 v69 int32 v70 int32 v71 int32 v72 int32 v73 int32 v74 int32 v75 int32 v76 int32 v77 int32 v78 int32 v79 int32 v80 int32 v81 int32 v82 int32 v83 int32 v84 int32 v85 int32 v86 int32 v87 int32 v88 int32 v89 int32 v90 int32 v91 int32 v92 int32 v93 int32 v94 int32 v95 int32 v96 int32 v97 int32 v98 int32 v99 int32 v100 int32 v101 int32 v102 int32 v103 int32 v104 int32 v105 int32 v106 int32 v107 int32 v108 int32 v109 int32 v110 int32 v111 int32 v112 int32 v113 int32 v114 int32 v115 int32 v116 int32 v117 int32 v118 int32 v119 int32 v120 int32 v121 int32 v122 int32 v123 int32 v124 int32 v125 int32 v126 int32 v127 int32 v128 int32 v129 int32 v130 int32 v131 int32 v132 int32 v133 int32 v134 int32 v135 int32 v136 int32 v137 int32 v138 int32 v139 int32 v140 int32 v141 int32 v142 int32 v143 int32 v144 int32 v145 int32 v146 int32 v147 int32 v148 int32 v149 int32 v150 int32 v151 int32 v152 int32 v153 int32 v154 int32 v155 int32 v156 int32 v157 int32 v158 int32 v159 int32 v160 int32 v161 int32 v162 int32 v163 int32 v164 int32 v165 int32 v166 int32 v167 int32 v168 int32 v169 int32 v170 int32 v171 int32 v172 int32 v173 int32 v174 int32 v175 int32 v176 int32 v177 int32 v178 int32 v179 int32 v180 int32 v181 int32 v182 int32 v183 int32 v184 int32 v185 int32 v186 int32 v187 int32 v188 int32 v189 int32 v190 int32 v191 int32 v192 int32 v193 int32 v194 int32 v195 int32 v196 int32 v197 int32 v198 int32 v199 int32 v200 int32 v201 int32 v202 int32 v203 int32 v204 int32 v205 int32 v206 int32 v207 int32 v208 int32 v209 int32 v210 int32 v211 int32 v212 int32 v213 int32 v214 int32 v215 int32 v216 int32 v217 int32 v218 int32 v219 int32 v220 int32 v221 int32 v222 int32 v223 int32 v224 int32 v225 int32 v226 int32 v227 int32 v228 int32 v229 int32 v230 int32 v231 int32 v232 int32 v233 int32 v234 int32 v235 int32 v236 int32 v237 int32 v238 int32 v239 int32 v240 int32 v241 int32 v242 int32 v243 int32 v244 int32 v245 int32 v246 int32 v247 int32 v248 int32 v249 int32 v250 int32 v251 int32 v252 int32 v253 int32 v254 int32 v255 int32 v256 """ __slots__ = ['v1','v2','v3','v4','v5','v6','v7','v8','v9','v10','v11','v12','v13','v14','v15','v16','v17','v18','v19','v20','v21','v22','v23','v24','v25','v26','v27','v28','v29','v30','v31','v32','v33','v34','v35','v36','v37','v38','v39','v40','v41','v42','v43','v44','v45','v46','v47','v48','v49','v50','v51','v52','v53','v54','v55','v56','v57','v58','v59','v60','v61','v62','v63','v64','v65','v66','v67','v68','v69','v70','v71','v72','v73','v74','v75','v76','v77','v78','v79','v80','v81','v82','v83','v84','v85','v86','v87','v88','v89','v90','v91','v92','v93','v94','v95','v96','v97','v98','v99','v100','v101','v102','v103','v104','v105','v106','v107','v108','v109','v110','v111','v112','v113','v114','v115','v116','v117','v118','v119','v120','v121','v122','v123','v124','v125','v126','v127','v128','v129','v130','v131','v132','v133','v134','v135','v136','v137','v138','v139','v140','v141','v142','v143','v144','v145','v146','v147','v148','v149','v150','v151','v152','v153','v154','v155','v156','v157','v158','v159','v160','v161','v162','v163','v164','v165','v166','v167','v168','v169','v170','v171','v172','v173','v174','v175','v176','v177','v178','v179','v180','v181','v182','v183','v184','v185','v186','v187','v188','v189','v190','v191','v192','v193','v194','v195','v196','v197','v198','v199','v200','v201','v202','v203','v204','v205','v206','v207','v208','v209','v210','v211','v212','v213','v214','v215','v216','v217','v218','v219','v220','v221','v222','v223','v224','v225','v226','v227','v228','v229','v230','v231','v232','v233','v234','v235','v236','v237','v238','v239','v240','v241','v242','v243','v244','v245','v246','v247','v248','v249','v250','v251','v252','v253','v254','v255','v256'] _slot_types = ['int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32','int32'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: v1,v2,v3,v4,v5,v6,v7,v8,v9,v10,v11,v12,v13,v14,v15,v16,v17,v18,v19,v20,v21,v22,v23,v24,v25,v26,v27,v28,v29,v30,v31,v32,v33,v34,v35,v36,v37,v38,v39,v40,v41,v42,v43,v44,v45,v46,v47,v48,v49,v50,v51,v52,v53,v54,v55,v56,v57,v58,v59,v60,v61,v62,v63,v64,v65,v66,v67,v68,v69,v70,v71,v72,v73,v74,v75,v76,v77,v78,v79,v80,v81,v82,v83,v84,v85,v86,v87,v88,v89,v90,v91,v92,v93,v94,v95,v96,v97,v98,v99,v100,v101,v102,v103,v104,v105,v106,v107,v108,v109,v110,v111,v112,v113,v114,v115,v116,v117,v118,v119,v120,v121,v122,v123,v124,v125,v126,v127,v128,v129,v130,v131,v132,v133,v134,v135,v136,v137,v138,v139,v140,v141,v142,v143,v144,v145,v146,v147,v148,v149,v150,v151,v152,v153,v154,v155,v156,v157,v158,v159,v160,v161,v162,v163,v164,v165,v166,v167,v168,v169,v170,v171,v172,v173,v174,v175,v176,v177,v178,v179,v180,v181,v182,v183,v184,v185,v186,v187,v188,v189,v190,v191,v192,v193,v194,v195,v196,v197,v198,v199,v200,v201,v202,v203,v204,v205,v206,v207,v208,v209,v210,v211,v212,v213,v214,v215,v216,v217,v218,v219,v220,v221,v222,v223,v224,v225,v226,v227,v228,v229,v230,v231,v232,v233,v234,v235,v236,v237,v238,v239,v240,v241,v242,v243,v244,v245,v246,v247,v248,v249,v250,v251,v252,v253,v254,v255,v256 :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(TestManyFields, self).__init__(*args, **kwds) #message fields cannot be None, assign default values for those that are if self.v1 is None: self.v1 = 0 if self.v2 is None: self.v2 = 0 if self.v3 is None: self.v3 = 0 if self.v4 is None: self.v4 = 0 if self.v5 is None: self.v5 = 0 if self.v6 is None: self.v6 = 0 if self.v7 is None: self.v7 = 0 if self.v8 is None: self.v8 = 0 if self.v9 is None: self.v9 = 0 if self.v10 is None: self.v10 = 0 if self.v11 is None: self.v11 = 0 if self.v12 is None: self.v12 = 0 if self.v13 is None: self.v13 = 0 if self.v14 is None: self.v14 = 0 if self.v15 is None: self.v15 = 0 if self.v16 is None: self.v16 = 0 if self.v17 is None: self.v17 = 0 if self.v18 is None: self.v18 = 0 if self.v19 is None: self.v19 = 0 if self.v20 is None: self.v20 = 0 if self.v21 is None: self.v21 = 0 if self.v22 is None: self.v22 = 0 if self.v23 is None: self.v23 = 0 if self.v24 is None: self.v24 = 0 if self.v25 is None: self.v25 = 0 if self.v26 is None: self.v26 = 0 if self.v27 is None: self.v27 = 0 if self.v28 is None: self.v28 = 0 if self.v29 is None: self.v29 = 0 if self.v30 is None: self.v30 = 0 if self.v31 is None: self.v31 = 0 if self.v32 is None: self.v32 = 0 if self.v33 is None: self.v33 = 0 if self.v34 is None: self.v34 = 0 if self.v35 is None: self.v35 = 0 if self.v36 is None: self.v36 = 0 if self.v37 is None: self.v37 = 0 if self.v38 is None: self.v38 = 0 if self.v39 is None: self.v39 = 0 if self.v40 is None: self.v40 = 0 if self.v41 is None: self.v41 = 0 if self.v42 is None: self.v42 = 0 if self.v43 is None: self.v43 = 0 if self.v44 is None: self.v44 = 0 if self.v45 is None: self.v45 = 0 if self.v46 is None: self.v46 = 0 if self.v47 is None: self.v47 = 0 if self.v48 is None: self.v48 = 0 if self.v49 is None: self.v49 = 0 if self.v50 is None: self.v50 = 0 if self.v51 is None: self.v51 = 0 if self.v52 is None: self.v52 = 0 if self.v53 is None: self.v53 = 0 if self.v54 is None: self.v54 = 0 if self.v55 is None: self.v55 = 0 if self.v56 is None: self.v56 = 0 if self.v57 is None: self.v57 = 0 if self.v58 is None: self.v58 = 0 if self.v59 is None: self.v59 = 0 if self.v60 is None: self.v60 = 0 if self.v61 is None: self.v61 = 0 if self.v62 is None: self.v62 = 0 if self.v63 is None: self.v63 = 0 if self.v64 is None: self.v64 = 0 if self.v65 is None: self.v65 = 0 if self.v66 is None: self.v66 = 0 if self.v67 is None: self.v67 = 0 if self.v68 is None: self.v68 = 0 if self.v69 is None: self.v69 = 0 if self.v70 is None: self.v70 = 0 if self.v71 is None: self.v71 = 0 if self.v72 is None: self.v72 = 0 if self.v73 is None: self.v73 = 0 if self.v74 is None: self.v74 = 0 if self.v75 is None: self.v75 = 0 if self.v76 is None: self.v76 = 0 if self.v77 is None: self.v77 = 0 if self.v78 is None: self.v78 = 0 if self.v79 is None: self.v79 = 0 if self.v80 is None: self.v80 = 0 if self.v81 is None: self.v81 = 0 if self.v82 is None: self.v82 = 0 if self.v83 is None: self.v83 = 0 if self.v84 is None: self.v84 = 0 if self.v85 is None: self.v85 = 0 if self.v86 is None: self.v86 = 0 if self.v87 is None: self.v87 = 0 if self.v88 is None: self.v88 = 0 if self.v89 is None: self.v89 = 0 if self.v90 is None: self.v90 = 0 if self.v91 is None: self.v91 = 0 if self.v92 is None: self.v92 = 0 if self.v93 is None: self.v93 = 0 if self.v94 is None: self.v94 = 0 if self.v95 is None: self.v95 = 0 if self.v96 is None: self.v96 = 0 if self.v97 is None: self.v97 = 0 if self.v98 is None: self.v98 = 0 if self.v99 is None: self.v99 = 0 if self.v100 is None: self.v100 = 0 if self.v101 is None: self.v101 = 0 if self.v102 is None: self.v102 = 0 if self.v103 is None: self.v103 = 0 if self.v104 is None: self.v104 = 0 if self.v105 is None: self.v105 = 0 if self.v106 is None: self.v106 = 0 if self.v107 is None: self.v107 = 0 if self.v108 is None: self.v108 = 0 if self.v109 is None: self.v109 = 0 if self.v110 is None: self.v110 = 0 if self.v111 is None: self.v111 = 0 if self.v112 is None: self.v112 = 0 if self.v113 is None: self.v113 = 0 if self.v114 is None: self.v114 = 0 if self.v115 is None: self.v115 = 0 if self.v116 is None: self.v116 = 0 if self.v117 is None: self.v117 = 0 if self.v118 is None: self.v118 = 0 if self.v119 is None: self.v119 = 0 if self.v120 is None: self.v120 = 0 if self.v121 is None: self.v121 = 0 if self.v122 is None: self.v122 = 0 if self.v123 is None: self.v123 = 0 if self.v124 is None: self.v124 = 0 if self.v125 is None: self.v125 = 0 if self.v126 is None: self.v126 = 0 if self.v127 is None: self.v127 = 0 if self.v128 is None: self.v128 = 0 if self.v129 is None: self.v129 = 0 if self.v130 is None: self.v130 = 0 if self.v131 is None: self.v131 = 0 if self.v132 is None: self.v132 = 0 if self.v133 is None: self.v133 = 0 if self.v134 is None: self.v134 = 0 if self.v135 is None: self.v135 = 0 if self.v136 is None: self.v136 = 0 if self.v137 is None: self.v137 = 0 if self.v138 is None: self.v138 = 0 if self.v139 is None: self.v139 = 0 if self.v140 is None: self.v140 = 0 if self.v141 is None: self.v141 = 0 if self.v142 is None: self.v142 = 0 if self.v143 is None: self.v143 = 0 if self.v144 is None: self.v144 = 0 if self.v145 is None: self.v145 = 0 if self.v146 is None: self.v146 = 0 if self.v147 is None: self.v147 = 0 if self.v148 is None: self.v148 = 0 if self.v149 is None: self.v149 = 0 if self.v150 is None: self.v150 = 0 if self.v151 is None: self.v151 = 0 if self.v152 is None: self.v152 = 0 if self.v153 is None: self.v153 = 0 if self.v154 is None: self.v154 = 0 if self.v155 is None: self.v155 = 0 if self.v156 is None: self.v156 = 0 if self.v157 is None: self.v157 = 0 if self.v158 is None: self.v158 = 0 if self.v159 is None: self.v159 = 0 if self.v160 is None: self.v160 = 0 if self.v161 is None: self.v161 = 0 if self.v162 is None: self.v162 = 0 if self.v163 is None: self.v163 = 0 if self.v164 is None: self.v164 = 0 if self.v165 is None: self.v165 = 0 if self.v166 is None: self.v166 = 0 if self.v167 is None: self.v167 = 0 if self.v168 is None: self.v168 = 0 if self.v169 is None: self.v169 = 0 if self.v170 is None: self.v170 = 0 if self.v171 is None: self.v171 = 0 if self.v172 is None: self.v172 = 0 if self.v173 is None: self.v173 = 0 if self.v174 is None: self.v174 = 0 if self.v175 is None: self.v175 = 0 if self.v176 is None: self.v176 = 0 if self.v177 is None: self.v177 = 0 if self.v178 is None: self.v178 = 0 if self.v179 is None: self.v179 = 0 if self.v180 is None: self.v180 = 0 if self.v181 is None: self.v181 = 0 if self.v182 is None: self.v182 = 0 if self.v183 is None: self.v183 = 0 if self.v184 is None: self.v184 = 0 if self.v185 is None: self.v185 = 0 if self.v186 is None: self.v186 = 0 if self.v187 is None: self.v187 = 0 if self.v188 is None: self.v188 = 0 if self.v189 is None: self.v189 = 0 if self.v190 is None: self.v190 = 0 if self.v191 is None: self.v191 = 0 if self.v192 is None: self.v192 = 0 if self.v193 is None: self.v193 = 0 if self.v194 is None: self.v194 = 0 if self.v195 is None: self.v195 = 0 if self.v196 is None: self.v196 = 0 if self.v197 is None: self.v197 = 0 if self.v198 is None: self.v198 = 0 if self.v199 is None: self.v199 = 0 if self.v200 is None: self.v200 = 0 if self.v201 is None: self.v201 = 0 if self.v202 is None: self.v202 = 0 if self.v203 is None: self.v203 = 0 if self.v204 is None: self.v204 = 0 if self.v205 is None: self.v205 = 0 if self.v206 is None: self.v206 = 0 if self.v207 is None: self.v207 = 0 if self.v208 is None: self.v208 = 0 if self.v209 is None: self.v209 = 0 if self.v210 is None: self.v210 = 0 if self.v211 is None: self.v211 = 0 if self.v212 is None: self.v212 = 0 if self.v213 is None: self.v213 = 0 if self.v214 is None: self.v214 = 0 if self.v215 is None: self.v215 = 0 if self.v216 is None: self.v216 = 0 if self.v217 is None: self.v217 = 0 if self.v218 is None: self.v218 = 0 if self.v219 is None: self.v219 = 0 if self.v220 is None: self.v220 = 0 if self.v221 is None: self.v221 = 0 if self.v222 is None: self.v222 = 0 if self.v223 is None: self.v223 = 0 if self.v224 is None: self.v224 = 0 if self.v225 is None: self.v225 = 0 if self.v226 is None: self.v226 = 0 if self.v227 is None: self.v227 = 0 if self.v228 is None: self.v228 = 0 if self.v229 is None: self.v229 = 0 if self.v230 is None: self.v230 = 0 if self.v231 is None: self.v231 = 0 if self.v232 is None: self.v232 = 0 if self.v233 is None: self.v233 = 0 if self.v234 is None: self.v234 = 0 if self.v235 is None: self.v235 = 0 if self.v236 is None: self.v236 = 0 if self.v237 is None: self.v237 = 0 if self.v238 is None: self.v238 = 0 if self.v239 is None: self.v239 = 0 if self.v240 is None: self.v240 = 0 if self.v241 is None: self.v241 = 0 if self.v242 is None: self.v242 = 0 if self.v243 is None: self.v243 = 0 if self.v244 is None: self.v244 = 0 if self.v245 is None: self.v245 = 0 if self.v246 is None: self.v246 = 0 if self.v247 is None: self.v247 = 0 if self.v248 is None: self.v248 = 0 if self.v249 is None: self.v249 = 0 if self.v250 is None: self.v250 = 0 if self.v251 is None: self.v251 = 0 if self.v252 is None: self.v252 = 0 if self.v253 is None: self.v253 = 0 if self.v254 is None: self.v254 = 0 if self.v255 is None: self.v255 = 0 if self.v256 is None: self.v256 = 0 else: self.v1 = 0 self.v2 = 0 self.v3 = 0 self.v4 = 0 self.v5 = 0 self.v6 = 0 self.v7 = 0 self.v8 = 0 self.v9 = 0 self.v10 = 0 self.v11 = 0 self.v12 = 0 self.v13 = 0 self.v14 = 0 self.v15 = 0 self.v16 = 0 self.v17 = 0 self.v18 = 0 self.v19 = 0 self.v20 = 0 self.v21 = 0 self.v22 = 0 self.v23 = 0 self.v24 = 0 self.v25 = 0 self.v26 = 0 self.v27 = 0 self.v28 = 0 self.v29 = 0 self.v30 = 0 self.v31 = 0 self.v32 = 0 self.v33 = 0 self.v34 = 0 self.v35 = 0 self.v36 = 0 self.v37 = 0 self.v38 = 0 self.v39 = 0 self.v40 = 0 self.v41 = 0 self.v42 = 0 self.v43 = 0 self.v44 = 0 self.v45 = 0 self.v46 = 0 self.v47 = 0 self.v48 = 0 self.v49 = 0 self.v50 = 0 self.v51 = 0 self.v52 = 0 self.v53 = 0 self.v54 = 0 self.v55 = 0 self.v56 = 0 self.v57 = 0 self.v58 = 0 self.v59 = 0 self.v60 = 0 self.v61 = 0 self.v62 = 0 self.v63 = 0 self.v64 = 0 self.v65 = 0 self.v66 = 0 self.v67 = 0 self.v68 = 0 self.v69 = 0 self.v70 = 0 self.v71 = 0 self.v72 = 0 self.v73 = 0 self.v74 = 0 self.v75 = 0 self.v76 = 0 self.v77 = 0 self.v78 = 0 self.v79 = 0 self.v80 = 0 self.v81 = 0 self.v82 = 0 self.v83 = 0 self.v84 = 0 self.v85 = 0 self.v86 = 0 self.v87 = 0 self.v88 = 0 self.v89 = 0 self.v90 = 0 self.v91 = 0 self.v92 = 0 self.v93 = 0 self.v94 = 0 self.v95 = 0 self.v96 = 0 self.v97 = 0 self.v98 = 0 self.v99 = 0 self.v100 = 0 self.v101 = 0 self.v102 = 0 self.v103 = 0 self.v104 = 0 self.v105 = 0 self.v106 = 0 self.v107 = 0 self.v108 = 0 self.v109 = 0 self.v110 = 0 self.v111 = 0 self.v112 = 0 self.v113 = 0 self.v114 = 0 self.v115 = 0 self.v116 = 0 self.v117 = 0 self.v118 = 0 self.v119 = 0 self.v120 = 0 self.v121 = 0 self.v122 = 0 self.v123 = 0 self.v124 = 0 self.v125 = 0 self.v126 = 0 self.v127 = 0 self.v128 = 0 self.v129 = 0 self.v130 = 0 self.v131 = 0 self.v132 = 0 self.v133 = 0 self.v134 = 0 self.v135 = 0 self.v136 = 0 self.v137 = 0 self.v138 = 0 self.v139 = 0 self.v140 = 0 self.v141 = 0 self.v142 = 0 self.v143 = 0 self.v144 = 0 self.v145 = 0 self.v146 = 0 self.v147 = 0 self.v148 = 0 self.v149 = 0 self.v150 = 0 self.v151 = 0 self.v152 = 0 self.v153 = 0 self.v154 = 0 self.v155 = 0 self.v156 = 0 self.v157 = 0 self.v158 = 0 self.v159 = 0 self.v160 = 0 self.v161 = 0 self.v162 = 0 self.v163 = 0 self.v164 = 0 self.v165 = 0 self.v166 = 0 self.v167 = 0 self.v168 = 0 self.v169 = 0 self.v170 = 0 self.v171 = 0 self.v172 = 0 self.v173 = 0 self.v174 = 0 self.v175 = 0 self.v176 = 0 self.v177 = 0 self.v178 = 0 self.v179 = 0 self.v180 = 0 self.v181 = 0 self.v182 = 0 self.v183 = 0 self.v184 = 0 self.v185 = 0 self.v186 = 0 self.v187 = 0 self.v188 = 0 self.v189 = 0 self.v190 = 0 self.v191 = 0 self.v192 = 0 self.v193 = 0 self.v194 = 0 self.v195 = 0 self.v196 = 0 self.v197 = 0 self.v198 = 0 self.v199 = 0 self.v200 = 0 self.v201 = 0 self.v202 = 0 self.v203 = 0 self.v204 = 0 self.v205 = 0 self.v206 = 0 self.v207 = 0 self.v208 = 0 self.v209 = 0 self.v210 = 0 self.v211 = 0 self.v212 = 0 self.v213 = 0 self.v214 = 0 self.v215 = 0 self.v216 = 0 self.v217 = 0 self.v218 = 0 self.v219 = 0 self.v220 = 0 self.v221 = 0 self.v222 = 0 self.v223 = 0 self.v224 = 0 self.v225 = 0 self.v226 = 0 self.v227 = 0 self.v228 = 0 self.v229 = 0 self.v230 = 0 self.v231 = 0 self.v232 = 0 self.v233 = 0 self.v234 = 0 self.v235 = 0 self.v236 = 0 self.v237 = 0 self.v238 = 0 self.v239 = 0 self.v240 = 0 self.v241 = 0 self.v242 = 0 self.v243 = 0 self.v244 = 0 self.v245 = 0 self.v246 = 0 self.v247 = 0 self.v248 = 0 self.v249 = 0 self.v250 = 0 self.v251 = 0 self.v252 = 0 self.v253 = 0 self.v254 = 0 self.v255 = 0 self.v256 = 0 def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self buff.write(_struct_255i.pack(_x.v1, _x.v2, _x.v3, _x.v4, _x.v5, _x.v6, _x.v7, _x.v8, _x.v9, _x.v10, _x.v11, _x.v12, _x.v13, _x.v14, _x.v15, _x.v16, _x.v17, _x.v18, _x.v19, _x.v20, _x.v21, _x.v22, _x.v23, _x.v24, _x.v25, _x.v26, _x.v27, _x.v28, _x.v29, _x.v30, _x.v31, _x.v32, _x.v33, _x.v34, _x.v35, _x.v36, _x.v37, _x.v38, _x.v39, _x.v40, _x.v41, _x.v42, _x.v43, _x.v44, _x.v45, _x.v46, _x.v47, _x.v48, _x.v49, _x.v50, _x.v51, _x.v52, _x.v53, _x.v54, _x.v55, _x.v56, _x.v57, _x.v58, _x.v59, _x.v60, _x.v61, _x.v62, _x.v63, _x.v64, _x.v65, _x.v66, _x.v67, _x.v68, _x.v69, _x.v70, _x.v71, _x.v72, _x.v73, _x.v74, _x.v75, _x.v76, _x.v77, _x.v78, _x.v79, _x.v80, _x.v81, _x.v82, _x.v83, _x.v84, _x.v85, _x.v86, _x.v87, _x.v88, _x.v89, _x.v90, _x.v91, _x.v92, _x.v93, _x.v94, _x.v95, _x.v96, _x.v97, _x.v98, _x.v99, _x.v100, _x.v101, _x.v102, _x.v103, _x.v104, _x.v105, _x.v106, _x.v107, _x.v108, _x.v109, _x.v110, _x.v111, _x.v112, _x.v113, _x.v114, _x.v115, _x.v116, _x.v117, _x.v118, _x.v119, _x.v120, _x.v121, _x.v122, _x.v123, _x.v124, _x.v125, _x.v126, _x.v127, _x.v128, _x.v129, _x.v130, _x.v131, _x.v132, _x.v133, _x.v134, _x.v135, _x.v136, _x.v137, _x.v138, _x.v139, _x.v140, _x.v141, _x.v142, _x.v143, _x.v144, _x.v145, _x.v146, _x.v147, _x.v148, _x.v149, _x.v150, _x.v151, _x.v152, _x.v153, _x.v154, _x.v155, _x.v156, _x.v157, _x.v158, _x.v159, _x.v160, _x.v161, _x.v162, _x.v163, _x.v164, _x.v165, _x.v166, _x.v167, _x.v168, _x.v169, _x.v170, _x.v171, _x.v172, _x.v173, _x.v174, _x.v175, _x.v176, _x.v177, _x.v178, _x.v179, _x.v180, _x.v181, _x.v182, _x.v183, _x.v184, _x.v185, _x.v186, _x.v187, _x.v188, _x.v189, _x.v190, _x.v191, _x.v192, _x.v193, _x.v194, _x.v195, _x.v196, _x.v197, _x.v198, _x.v199, _x.v200, _x.v201, _x.v202, _x.v203, _x.v204, _x.v205, _x.v206, _x.v207, _x.v208, _x.v209, _x.v210, _x.v211, _x.v212, _x.v213, _x.v214, _x.v215, _x.v216, _x.v217, _x.v218, _x.v219, _x.v220, _x.v221, _x.v222, _x.v223, _x.v224, _x.v225, _x.v226, _x.v227, _x.v228, _x.v229, _x.v230, _x.v231, _x.v232, _x.v233, _x.v234, _x.v235, _x.v236, _x.v237, _x.v238, _x.v239, _x.v240, _x.v241, _x.v242, _x.v243, _x.v244, _x.v245, _x.v246, _x.v247, _x.v248, _x.v249, _x.v250, _x.v251, _x.v252, _x.v253, _x.v254, _x.v255)) buff.write(_struct_i.pack(self.v256)) except struct.error as se: self._check_types(se) except TypeError as te: self._check_types(te) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ try: end = 0 _x = self start = end end += 1020 (_x.v1, _x.v2, _x.v3, _x.v4, _x.v5, _x.v6, _x.v7, _x.v8, _x.v9, _x.v10, _x.v11, _x.v12, _x.v13, _x.v14, _x.v15, _x.v16, _x.v17, _x.v18, _x.v19, _x.v20, _x.v21, _x.v22, _x.v23, _x.v24, _x.v25, _x.v26, _x.v27, _x.v28, _x.v29, _x.v30, _x.v31, _x.v32, _x.v33, _x.v34, _x.v35, _x.v36, _x.v37, _x.v38, _x.v39, _x.v40, _x.v41, _x.v42, _x.v43, _x.v44, _x.v45, _x.v46, _x.v47, _x.v48, _x.v49, _x.v50, _x.v51, _x.v52, _x.v53, _x.v54, _x.v55, _x.v56, _x.v57, _x.v58, _x.v59, _x.v60, _x.v61, _x.v62, _x.v63, _x.v64, _x.v65, _x.v66, _x.v67, _x.v68, _x.v69, _x.v70, _x.v71, _x.v72, _x.v73, _x.v74, _x.v75, _x.v76, _x.v77, _x.v78, _x.v79, _x.v80, _x.v81, _x.v82, _x.v83, _x.v84, _x.v85, _x.v86, _x.v87, _x.v88, _x.v89, _x.v90, _x.v91, _x.v92, _x.v93, _x.v94, _x.v95, _x.v96, _x.v97, _x.v98, _x.v99, _x.v100, _x.v101, _x.v102, _x.v103, _x.v104, _x.v105, _x.v106, _x.v107, _x.v108, _x.v109, _x.v110, _x.v111, _x.v112, _x.v113, _x.v114, _x.v115, _x.v116, _x.v117, _x.v118, _x.v119, _x.v120, _x.v121, _x.v122, _x.v123, _x.v124, _x.v125, _x.v126, _x.v127, _x.v128, _x.v129, _x.v130, _x.v131, _x.v132, _x.v133, _x.v134, _x.v135, _x.v136, _x.v137, _x.v138, _x.v139, _x.v140, _x.v141, _x.v142, _x.v143, _x.v144, _x.v145, _x.v146, _x.v147, _x.v148, _x.v149, _x.v150, _x.v151, _x.v152, _x.v153, _x.v154, _x.v155, _x.v156, _x.v157, _x.v158, _x.v159, _x.v160, _x.v161, _x.v162, _x.v163, _x.v164, _x.v165, _x.v166, _x.v167, _x.v168, _x.v169, _x.v170, _x.v171, _x.v172, _x.v173, _x.v174, _x.v175, _x.v176, _x.v177, _x.v178, _x.v179, _x.v180, _x.v181, _x.v182, _x.v183, _x.v184, _x.v185, _x.v186, _x.v187, _x.v188, _x.v189, _x.v190, _x.v191, _x.v192, _x.v193, _x.v194, _x.v195, _x.v196, _x.v197, _x.v198, _x.v199, _x.v200, _x.v201, _x.v202, _x.v203, _x.v204, _x.v205, _x.v206, _x.v207, _x.v208, _x.v209, _x.v210, _x.v211, _x.v212, _x.v213, _x.v214, _x.v215, _x.v216, _x.v217, _x.v218, _x.v219, _x.v220, _x.v221, _x.v222, _x.v223, _x.v224, _x.v225, _x.v226, _x.v227, _x.v228, _x.v229, _x.v230, _x.v231, _x.v232, _x.v233, _x.v234, _x.v235, _x.v236, _x.v237, _x.v238, _x.v239, _x.v240, _x.v241, _x.v242, _x.v243, _x.v244, _x.v245, _x.v246, _x.v247, _x.v248, _x.v249, _x.v250, _x.v251, _x.v252, _x.v253, _x.v254, _x.v255,) = _struct_255i.unpack(str[start:end]) start = end end += 4 (self.v256,) = _struct_i.unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self buff.write(_struct_255i.pack(_x.v1, _x.v2, _x.v3, _x.v4, _x.v5, _x.v6, _x.v7, _x.v8, _x.v9, _x.v10, _x.v11, _x.v12, _x.v13, _x.v14, _x.v15, _x.v16, _x.v17, _x.v18, _x.v19, _x.v20, _x.v21, _x.v22, _x.v23, _x.v24, _x.v25, _x.v26, _x.v27, _x.v28, _x.v29, _x.v30, _x.v31, _x.v32, _x.v33, _x.v34, _x.v35, _x.v36, _x.v37, _x.v38, _x.v39, _x.v40, _x.v41, _x.v42, _x.v43, _x.v44, _x.v45, _x.v46, _x.v47, _x.v48, _x.v49, _x.v50, _x.v51, _x.v52, _x.v53, _x.v54, _x.v55, _x.v56, _x.v57, _x.v58, _x.v59, _x.v60, _x.v61, _x.v62, _x.v63, _x.v64, _x.v65, _x.v66, _x.v67, _x.v68, _x.v69, _x.v70, _x.v71, _x.v72, _x.v73, _x.v74, _x.v75, _x.v76, _x.v77, _x.v78, _x.v79, _x.v80, _x.v81, _x.v82, _x.v83, _x.v84, _x.v85, _x.v86, _x.v87, _x.v88, _x.v89, _x.v90, _x.v91, _x.v92, _x.v93, _x.v94, _x.v95, _x.v96, _x.v97, _x.v98, _x.v99, _x.v100, _x.v101, _x.v102, _x.v103, _x.v104, _x.v105, _x.v106, _x.v107, _x.v108, _x.v109, _x.v110, _x.v111, _x.v112, _x.v113, _x.v114, _x.v115, _x.v116, _x.v117, _x.v118, _x.v119, _x.v120, _x.v121, _x.v122, _x.v123, _x.v124, _x.v125, _x.v126, _x.v127, _x.v128, _x.v129, _x.v130, _x.v131, _x.v132, _x.v133, _x.v134, _x.v135, _x.v136, _x.v137, _x.v138, _x.v139, _x.v140, _x.v141, _x.v142, _x.v143, _x.v144, _x.v145, _x.v146, _x.v147, _x.v148, _x.v149, _x.v150, _x.v151, _x.v152, _x.v153, _x.v154, _x.v155, _x.v156, _x.v157, _x.v158, _x.v159, _x.v160, _x.v161, _x.v162, _x.v163, _x.v164, _x.v165, _x.v166, _x.v167, _x.v168, _x.v169, _x.v170, _x.v171, _x.v172, _x.v173, _x.v174, _x.v175, _x.v176, _x.v177, _x.v178, _x.v179, _x.v180, _x.v181, _x.v182, _x.v183, _x.v184, _x.v185, _x.v186, _x.v187, _x.v188, _x.v189, _x.v190, _x.v191, _x.v192, _x.v193, _x.v194, _x.v195, _x.v196, _x.v197, _x.v198, _x.v199, _x.v200, _x.v201, _x.v202, _x.v203, _x.v204, _x.v205, _x.v206, _x.v207, _x.v208, _x.v209, _x.v210, _x.v211, _x.v212, _x.v213, _x.v214, _x.v215, _x.v216, _x.v217, _x.v218, _x.v219, _x.v220, _x.v221, _x.v222, _x.v223, _x.v224, _x.v225, _x.v226, _x.v227, _x.v228, _x.v229, _x.v230, _x.v231, _x.v232, _x.v233, _x.v234, _x.v235, _x.v236, _x.v237, _x.v238, _x.v239, _x.v240, _x.v241, _x.v242, _x.v243, _x.v244, _x.v245, _x.v246, _x.v247, _x.v248, _x.v249, _x.v250, _x.v251, _x.v252, _x.v253, _x.v254, _x.v255)) buff.write(_struct_i.pack(self.v256)) except struct.error as se: self._check_types(se) except TypeError as te: self._check_types(te) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ try: end = 0 _x = self start = end end += 1020 (_x.v1, _x.v2, _x.v3, _x.v4, _x.v5, _x.v6, _x.v7, _x.v8, _x.v9, _x.v10, _x.v11, _x.v12, _x.v13, _x.v14, _x.v15, _x.v16, _x.v17, _x.v18, _x.v19, _x.v20, _x.v21, _x.v22, _x.v23, _x.v24, _x.v25, _x.v26, _x.v27, _x.v28, _x.v29, _x.v30, _x.v31, _x.v32, _x.v33, _x.v34, _x.v35, _x.v36, _x.v37, _x.v38, _x.v39, _x.v40, _x.v41, _x.v42, _x.v43, _x.v44, _x.v45, _x.v46, _x.v47, _x.v48, _x.v49, _x.v50, _x.v51, _x.v52, _x.v53, _x.v54, _x.v55, _x.v56, _x.v57, _x.v58, _x.v59, _x.v60, _x.v61, _x.v62, _x.v63, _x.v64, _x.v65, _x.v66, _x.v67, _x.v68, _x.v69, _x.v70, _x.v71, _x.v72, _x.v73, _x.v74, _x.v75, _x.v76, _x.v77, _x.v78, _x.v79, _x.v80, _x.v81, _x.v82, _x.v83, _x.v84, _x.v85, _x.v86, _x.v87, _x.v88, _x.v89, _x.v90, _x.v91, _x.v92, _x.v93, _x.v94, _x.v95, _x.v96, _x.v97, _x.v98, _x.v99, _x.v100, _x.v101, _x.v102, _x.v103, _x.v104, _x.v105, _x.v106, _x.v107, _x.v108, _x.v109, _x.v110, _x.v111, _x.v112, _x.v113, _x.v114, _x.v115, _x.v116, _x.v117, _x.v118, _x.v119, _x.v120, _x.v121, _x.v122, _x.v123, _x.v124, _x.v125, _x.v126, _x.v127, _x.v128, _x.v129, _x.v130, _x.v131, _x.v132, _x.v133, _x.v134, _x.v135, _x.v136, _x.v137, _x.v138, _x.v139, _x.v140, _x.v141, _x.v142, _x.v143, _x.v144, _x.v145, _x.v146, _x.v147, _x.v148, _x.v149, _x.v150, _x.v151, _x.v152, _x.v153, _x.v154, _x.v155, _x.v156, _x.v157, _x.v158, _x.v159, _x.v160, _x.v161, _x.v162, _x.v163, _x.v164, _x.v165, _x.v166, _x.v167, _x.v168, _x.v169, _x.v170, _x.v171, _x.v172, _x.v173, _x.v174, _x.v175, _x.v176, _x.v177, _x.v178, _x.v179, _x.v180, _x.v181, _x.v182, _x.v183, _x.v184, _x.v185, _x.v186, _x.v187, _x.v188, _x.v189, _x.v190, _x.v191, _x.v192, _x.v193, _x.v194, _x.v195, _x.v196, _x.v197, _x.v198, _x.v199, _x.v200, _x.v201, _x.v202, _x.v203, _x.v204, _x.v205, _x.v206, _x.v207, _x.v208, _x.v209, _x.v210, _x.v211, _x.v212, _x.v213, _x.v214, _x.v215, _x.v216, _x.v217, _x.v218, _x.v219, _x.v220, _x.v221, _x.v222, _x.v223, _x.v224, _x.v225, _x.v226, _x.v227, _x.v228, _x.v229, _x.v230, _x.v231, _x.v232, _x.v233, _x.v234, _x.v235, _x.v236, _x.v237, _x.v238, _x.v239, _x.v240, _x.v241, _x.v242, _x.v243, _x.v244, _x.v245, _x.v246, _x.v247, _x.v248, _x.v249, _x.v250, _x.v251, _x.v252, _x.v253, _x.v254, _x.v255,) = _struct_255i.unpack(str[start:end]) start = end end += 4 (self.v256,) = _struct_i.unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill _struct_I = genpy.struct_I _struct_i = struct.Struct("<i") _struct_255i = struct.Struct("<255i")

32.735866

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0.578487

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0.419532

0.414522

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0.302483

0.268721

37,057

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2,233

32.76481

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1

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0

1

0

null

0

5

d6bd7accf3d4f7cc0e1580ef5dc4d91664e5c335

122

py

Python

model/networkmodel.py

boti996/szdoga

a15827e78e4f6a7acbbf4469baecbfb7499b38ed

[ "MIT" ]

null

model/networkmodel.py

boti996/szdoga

a15827e78e4f6a7acbbf4469baecbfb7499b38ed

[ "MIT" ]

null

model/networkmodel.py

boti996/szdoga

a15827e78e4f6a7acbbf4469baecbfb7499b38ed

[ "MIT" ]

null

from abc import ABC, abstractmethod class NetworkModel(ABC): @abstractmethod def get_model(self): pass

13.555556

35

0.688525

14

122

5.928571

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0.409639

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false

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1

0

1

0

null

0

1

0

1

0

5

d6ca17204714f31ac1d287dd6337d8580ded9dc1

5,195

py

Python

nats_messenger/tests/test_durable_messenger.py

tombenke/py-msgp

3f8e6bfa687424e33390d45032ff19a7142635ef

[ "MIT" ]

1

2022-01-20T11:19:09.000Z

nats_messenger/tests/test_durable_messenger.py

tombenke/py-msgp

3f8e6bfa687424e33390d45032ff19a7142635ef

[ "MIT" ]

null

nats_messenger/tests/test_durable_messenger.py

tombenke/py-msgp

3f8e6bfa687424e33390d45032ff19a7142635ef

[ "MIT" ]

null

"""Test the messenger module""" import unittest import asyncio from loguru import logger from nats_messenger.messenger import Messenger from nats_messenger.tests.config_test import ( URL, CREDENTIALS, CLUSTER_ID, CLIENT_ID, TEST_PAYLOAD, TEST_TOPIC, ) class MessengerDurableTestCase(unittest.TestCase): """The Messenger test cases for durable functions""" def test_publish_subscribe_durable(self) -> None: """Test the Messenger's synchronous publish and subscribe methods with durable subject""" async def run(): messenger = Messenger(URL, CREDENTIALS, CLUSTER_ID, CLIENT_ID, logger) await messenger.open() total_messages = 0 callback_called = asyncio.Future() async def callback(msg: bytes): nonlocal total_messages nonlocal callback_called logger.debug(f"Received a message: '{msg}'") self.assertEqual(TEST_PAYLOAD, msg) total_messages += 1 if total_messages >= 2: callback_called.set_result(None) subscriber = await messenger.subscribe_durable( TEST_TOPIC, callback=callback ) logger.debug("Publish messages") await messenger.publish_durable(TEST_TOPIC, TEST_PAYLOAD) await messenger.publish_durable(TEST_TOPIC, TEST_PAYLOAD) logger.debug("Wait for callbacks") await asyncio.wait_for(callback_called, 1) logger.debug("Unsubscribe") await subscriber.unsubscribe() logger.debug("Close messenger") await messenger.close() asyncio.run(run()) def test_publish_async_subscribe_durable(self) -> None: """Test the Messenger's asynchronous publish and subscribe methods with durable subject""" async def run(): messenger = Messenger(URL, CREDENTIALS, CLUSTER_ID, CLIENT_ID, logger) await messenger.open() total_messages = 0 callback_called = asyncio.Future() total_ack_messages = 0 ack_called = asyncio.Future() async def callback(msg: bytes): nonlocal total_messages nonlocal callback_called logger.debug(f"Received a message: '{msg}'") self.assertEqual(TEST_PAYLOAD, msg) total_messages += 1 if total_messages >= 2: callback_called.set_result(None) subscriber = await messenger.subscribe_durable( TEST_TOPIC, callback=callback ) async def ack_handler(ack): nonlocal total_ack_messages nonlocal ack_called logger.debug(f"the ack_handler of publish_async is called with '{ack}'") total_ack_messages += 1 if total_ack_messages >= 2: ack_called.set_result(None) logger.debug("Publish messages") await messenger.publish_async_durable( TEST_TOPIC, TEST_PAYLOAD, ack_handler=ack_handler ) await messenger.publish_async_durable( TEST_TOPIC, TEST_PAYLOAD, ack_handler=ack_handler ) logger.debug("Wait for publish acknowledgements") await asyncio.wait_for(ack_called, 1) logger.debug("Wait for callbacks") await asyncio.wait_for(callback_called, 1) logger.debug("Unsubscribe") await subscriber.unsubscribe() logger.debug("Close messenger") await messenger.close() asyncio.run(run()) def test_publish_subscribe_durable_with_ack(self) -> None: """Test the Messenger's synchronous publish and subscribe methods with durable subject using manual acknowledge""" async def run(): messenger = Messenger(URL, CREDENTIALS, CLUSTER_ID, CLIENT_ID, logger) await messenger.open() total_messages = 0 callback_called = asyncio.Future() async def callback(msg: bytes) -> bool: nonlocal total_messages nonlocal callback_called total_messages += 1 if total_messages >= 2: callback_called.set_result(None) logger.debug( f"Received a message: '{msg}' total_messages: {total_messages}" ) self.assertEqual(TEST_PAYLOAD, msg) return True subscriber = await messenger.subscribe_durable_with_ack( TEST_TOPIC, callback=callback ) logger.debug("Publish messages") await messenger.publish_durable(TEST_TOPIC, TEST_PAYLOAD) await messenger.publish_durable(TEST_TOPIC, TEST_PAYLOAD) logger.debug("Wait for callbacks") await asyncio.wait_for(callback_called, 1) await subscriber.unsubscribe() logger.debug("Close messenger") await messenger.close() asyncio.run(run())

35.101351

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5,195

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0.042738

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5,195

147

123

35.340136

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false

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0.09009

0

null

0

1

0

1

0

null

0

5

ba3caacd98b30eba31b58caebcf17246a14551c8

128

py

Python

ex1.py

keerthana1502/python_practice

8c0499e014826af78f9a88730551ace3fa79686d

[ "bzip2-1.0.6" ]

null

ex1.py

keerthana1502/python_practice

8c0499e014826af78f9a88730551ace3fa79686d

[ "bzip2-1.0.6" ]

null

ex1.py

keerthana1502/python_practice

8c0499e014826af78f9a88730551ace3fa79686d

[ "bzip2-1.0.6" ]

null

for i in range(5): for j in range (5): if(i==j): print("1",end=" ") elif(i=-j): print()

18.285714

30

0.375

20

128

2.4

0.55

0.291667

0.333333

0

0.040541

0.421875

128

6

31

21.333333

0.608108

0

0.015625

0

null

0

null

0.333333

1

0

null

1

0

1

0

null

0

1

0

5

ba64836a8d42f8c4e9f67ebcfdd272084c5ab82e

111

py

Python

cttools/__init__.py

nik849/ct-tools

1218f62de1b8974651506ebf8fd9197c1b038a0a

[ "MIT" ]

null

cttools/__init__.py

nik849/ct-tools

1218f62de1b8974651506ebf8fd9197c1b038a0a

[ "MIT" ]

4

2021-06-08T20:42:17.000Z

2022-03-12T00:07:59.000Z

cttools/__init__.py

nik849/ct-tools

1218f62de1b8974651506ebf8fd9197c1b038a0a

[ "MIT" ]

null

__version__ = '0.0.1' from .recon import * from .config import * from .parse import * from .utilities import *

18.5

24

0.711712

16

111

4.6875

0.5625

0.4

0

0.032609

0.171171

111

5

25

22.2

0.782609

0

0.045045

0

1

0

false

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

babe8b95850690a2a05a8ea7152e079552a4a989

218

py

Python

boaapi/status.py

boalang/api-python

f68ba63bbec5c8c5ed769eb1d0788561fc358a3b

[ "Apache-2.0" ]

3

2020-08-19T09:55:00.000Z

2021-12-29T16:30:11.000Z

boaapi/status.py

boalang/api-python

f68ba63bbec5c8c5ed769eb1d0788561fc358a3b

[ "Apache-2.0" ]

1

2022-02-06T19:11:49.000Z

2022-02-07T01:28:45.000Z

boaapi/status.py

boalang/api-python

f68ba63bbec5c8c5ed769eb1d0788561fc358a3b

[ "Apache-2.0" ]

1

2019-09-02T17:53:21.000Z

from enum import Enum class CompilerStatus(Enum): WAITING = 1 RUNNING = 2 FINISHED = 3 ERROR = 4 class ExecutionStatus(Enum): WAITING = 1 RUNNING = 2 FINISHED = 3 ERROR = 4

14.533333

28

0.582569

26

218

4.884615

0.538462

0.173228

0.188976

0.299213

0.551181

0

0.056738

0.353211

218

14

29

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0

1

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false

0

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1

0

1

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null

0

1

0

1

0

null

0

1

0

5

2458cea0079732ecbd9cb5ab67b6c195d92758a3

109

py

Python

src/news/models/__init__.py

thimmy687/tunews

422a9b14cc0be28139e29a2bdda56840a1c8e1e7

[ "MIT" ]

3

2021-05-12T21:47:09.000Z

2021-10-30T12:58:58.000Z

src/news/models/__init__.py

thimmy687/tunews

422a9b14cc0be28139e29a2bdda56840a1c8e1e7

[ "MIT" ]

8

2020-04-06T11:57:24.000Z

2020-06-04T08:44:23.000Z

src/news/models/__init__.py

thimmy687/tunews

422a9b14cc0be28139e29a2bdda56840a1c8e1e7

[ "MIT" ]

1

2020-04-15T17:56:35.000Z

from .newslanguage import NewsLanguage from .newscategory import NewsCategory from .newsitem import NewsItem

27.25

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0.862385

12

109

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0.110092

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null

0

1

0

1

0

1

0

5

0324d9ece5af63a368124e9fa17ba3a69c38e54b

167

py

Python

frites/dataset/ds_fmri.py

StanSStanman/frites

53f4745979dc2e7b27145cd63eab6a82fe893ec7

[ "BSD-3-Clause" ]

null

frites/dataset/ds_fmri.py

StanSStanman/frites

53f4745979dc2e7b27145cd63eab6a82fe893ec7

[ "BSD-3-Clause" ]

null

frites/dataset/ds_fmri.py

StanSStanman/frites

53f4745979dc2e7b27145cd63eab6a82fe893ec7

[ "BSD-3-Clause" ]

null

"""Dataset representation of fMRI data.""" class DatasetFMRI(object): """docstring for DatasetFMRI.""" def __init__(self): """Init.""" pass

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0.245509

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0.333333

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null

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1

0

1

0

1

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5

034d20fd175ab2693519395e5e5f96e1611dc15d

100

py

Python

chain/p2p/start.py

tsifrer/ark

c678091e226d79fabe4a2c554e1d8e704a5b5cec

[ "MIT" ]

5

2019-02-01T01:22:27.000Z

2019-05-24T12:20:38.000Z

chain/p2p/start.py

tsifrer/ark

c678091e226d79fabe4a2c554e1d8e704a5b5cec

[ "MIT" ]

15

2019-03-29T13:12:10.000Z

2019-08-25T19:19:35.000Z

chain/p2p/start.py

tsifrer/ark

c678091e226d79fabe4a2c554e1d8e704a5b5cec

[ "MIT" ]

4

2019-01-31T13:52:03.000Z

2020-08-12T02:12:03.000Z

from chain.p2p.websocket_server import start_server if __name__ == "__main__": start_server()

16.666667

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0.76

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100

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0.769231

0.338462

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null

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5

30382846d676ea90b88e0072451aedfdb11e25dd

125

py

Python

python/dc/roms_pv.py

subond/tools

05b93e6c78eab65ef6587e684303b12c686a3480

[ "MIT" ]

null

python/dc/roms_pv.py

subond/tools

05b93e6c78eab65ef6587e684303b12c686a3480

[ "MIT" ]

null

python/dc/roms_pv.py

subond/tools

05b93e6c78eab65ef6587e684303b12c686a3480

[ "MIT" ]

1

2021-12-04T15:41:53.000Z

def roms_pv(fname,tindices): import h5py u = dc_roms_read_data(fname,'u') v = dc_roms_read_data(fname,'v')

17.857143

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125

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0.571429

0.162162

0.27027

0.378378

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0.224

125

6

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1

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null

0

1

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5

3058406d71c3bd564d8b8aecb2fd9d384c4a2543

305

py

Python

uontypes/units/mass.py

uon-language/uon-parser

666894cf4917d8da01512918a147882550382269

[ "MIT" ]

1

2020-05-29T06:47:16.000Z

uontypes/units/mass.py

Cell00phane/uon-parser

666894cf4917d8da01512918a147882550382269

[ "MIT" ]

1

2020-07-16T08:19:08.000Z

uontypes/units/mass.py

uon-language/uon-parser

666894cf4917d8da01512918a147882550382269

[ "MIT" ]

null

from uontypes.units.quantity import Quantity class Mass(Quantity): pass class Kilogram(Mass): def __str__(self): return "kg" def to_binary(self): return b"\x21" class Gram(Mass): def __str__(self): return "g" def to_binary(self): return b"\x69"

13.863636

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0.606557

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305

4.375

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0.228571

0.114286

0.16

0.48

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0.018349

0.285246

305

21

45

14.52381

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0.307692

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0.307692

false

0.076923

0.307692

0.923077

0

null

1

0

null

0

1

0

1

0

1

0

5

3079c0ec4f06a3b22ee375fd5b4cd5a9fabbb751

21

py

Python

__init__.py

AnthonyJFeola/DS-Unit-3-Sprint-Challenge-1-Software-Engineering

5a956e01828acc12b4f0580a3715974b5403a6c4

[ "MIT" ]

17

2015-06-11T21:05:11.000Z

2021-04-23T17:54:09.000Z

__init__.py

AnthonyJFeola/DS-Unit-3-Sprint-Challenge-1-Software-Engineering

5a956e01828acc12b4f0580a3715974b5403a6c4

[ "MIT" ]

134

2015-01-07T14:29:54.000Z

2022-01-10T15:56:24.000Z

__init__.py

AnthonyJFeola/DS-Unit-3-Sprint-Challenge-1-Software-Engineering

5a956e01828acc12b4f0580a3715974b5403a6c4

[ "MIT" ]

22

2015-01-30T18:30:32.000Z

2022-01-20T20:04:10.000Z

# Nothing to see here

21

0.761905

4

21

4

1

0

0.190476

21

1

21

0.941176

0.904762

0

null

0

null

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null

0

null

1

null

true

0

null

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null

0

1

0

1

0

null

0

1

0

5

0672acf71c0ab31701749cd2541d300d25d0a5bb

23,657

py

Python

optimization/first_sdEta_mjj_optimization/sdEta_mistake_analyses/sdEta_mmjj_gridsearch/analysis_deltaeta6.1_mmjj_750/Output/Histos/MadAnalysis5job_0/selection_6.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

optimization/first_sdEta_mjj_optimization/sdEta_mistake_analyses/sdEta_mmjj_gridsearch/analysis_deltaeta6.1_mmjj_750/Output/Histos/MadAnalysis5job_0/selection_6.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

optimization/first_sdEta_mjj_optimization/sdEta_mistake_analyses/sdEta_mmjj_gridsearch/analysis_deltaeta6.1_mmjj_750/Output/Histos/MadAnalysis5job_0/selection_6.py

sheride/axion_pheno

7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5

[ "MIT" ]

null

def selection_6(): # Library import import numpy import matplotlib import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec # Library version matplotlib_version = matplotlib.__version__ numpy_version = numpy.__version__ # Histo binning xBinning = numpy.linspace(0.0,15.0,76,endpoint=True) # Creating data sequence: middle of each bin xData = numpy.array([0.1,0.3,0.5,0.7,0.9,1.1,1.3,1.5,1.7,1.9,2.1,2.3,2.5,2.7,2.9,3.1,3.3,3.5,3.7,3.9,4.1,4.3,4.5,4.7,4.9,5.1,5.3,5.5,5.7,5.9,6.1,6.3,6.5,6.7,6.9,7.1,7.3,7.5,7.7,7.9,8.1,8.3,8.5,8.7,8.9,9.1,9.3,9.5,9.7,9.9,10.1,10.3,10.5,10.7,10.9,11.1,11.3,11.5,11.7,11.9,12.1,12.3,12.5,12.7,12.9,13.1,13.3,13.5,13.7,13.9,14.1,14.3,14.5,14.7,14.9]) # Creating weights for histo: y7_DELTAR_0 y7_DELTAR_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,106.208708076,196.29087011,253.366460711,299.961260383,337.450787936,373.417316807,397.674735812,418.931237414,344.406621916,262.320252961,201.527185578,160.856540778,129.356688042,105.856628381,86.1231654603,72.0231376639,60.2690278371,50.0051567205,42.038043616,35.8232329949,29.9072821152,25.3792260342,20.8225099781,17.5799967845,15.0866989424,11.6067299544,9.80123551702,7.49626951197,6.10018672028,4.73275990379,3.57413530658,2.72666004007,1.92012553813,1.44930554562,0.925262799184,0.552701521636,0.364373484634,0.13101068661,0.0163763338263,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_1 y7_DELTAR_1_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0485729053353,0.77773071928,2.72191551768,7.78648410534,20.92014004,44.5525684517,88.4046713014,145.092755237,191.986778273,221.756746615,238.531790226,242.541792568,239.745097431,234.044436218,225.801117315,220.454193835,207.091431533,195.558764296,185.408882732,178.03582835,161.176506153,145.664760086,128.952925414,117.743873527,101.204962169,85.1253771145,72.5633815443,59.9164664866,46.2965022836,35.5309864809,26.0040254077,19.6489433811,14.6536626861,9.94101968139,7.2659837264,4.83560802479,3.34137073271,1.82219475022,1.05748154746,0.425182259955,0.255060887775,0.0486514959176,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_2 y7_DELTAR_2_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.301065617111,1.42556583629,3.91508658006,7.98143551265,16.7370252218,32.9929906598,64.0747913751,133.65317609,281.462864792,480.355672947,489.239287697,500.128213503,504.767328941,509.68825401,504.453702093,499.709217951,483.689869301,464.643339774,451.447459173,428.251881983,398.038459878,369.243259204,341.892105623,312.424363372,280.293726712,250.511283266,214.588695546,180.620511335,148.243229266,118.885277072,89.3875770517,65.1906666081,44.4765843725,30.892422164,20.0703579659,13.4845453964,8.34367658762,5.14110020671,3.20267927035,1.76731249178,0.883624015461,0.371539015992,0.110484746837,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_3 y7_DELTAR_3_weights = numpy.array([0.0,0.0,0.0,0.0824868914374,0.462082659552,1.42998230494,2.72791864876,4.06463298939,5.97334797086,9.14134439507,13.9654901883,22.5794608144,40.2844487785,77.2638545603,172.551523135,362.406729986,361.007623176,366.669417089,367.96350659,370.317438085,363.618471291,348.272659595,329.101292804,312.526148895,288.097985311,262.074005514,236.068144756,208.630107909,181.035621678,156.060514949,128.980390091,105.305344834,81.3801268152,62.6480045684,44.3559393779,30.2406949132,18.2291644944,10.4627099583,6.08308191796,3.44855432924,1.95232499327,0.792079544842,0.324676265598,0.176061051285,0.0275332836871,0.0164857349758,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_4 y7_DELTAR_4_weights = numpy.array([0.0,0.0,0.0345308579793,0.173671421931,0.241827866128,0.336542777947,0.513200440691,0.795369954677,1.11911620113,1.60855610399,2.56769090999,3.99161683662,6.82405788995,13.2719546961,31.5464128955,85.080025353,86.8294178983,86.1723735714,85.4711174404,82.3001730982,78.0545572426,71.9156901245,65.4876224929,58.1522709216,50.7102979551,42.8029987568,35.3414531485,28.4700208875,21.8035502213,15.7146308177,10.7035895861,6.96813706473,4.25928423753,2.35359234267,1.23651878301,0.560519897697,0.259549544502,0.101647907915,0.0335517529058,0.0128315361842,0.000987667653345,0.000986323662601,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_5 y7_DELTAR_5_weights = numpy.array([0.0,0.0,0.0257116480221,0.0378142017046,0.057975420775,0.0922630221412,0.126792083235,0.180739507646,0.295678018787,0.430544499301,0.624129984523,1.01185949313,1.76506540581,3.44689022127,8.53282667631,27.2688372078,27.5877801013,26.3514342794,25.1909952337,23.2315105364,21.1460546789,18.8754690278,16.1034593447,13.5030201012,10.8988919452,8.3651812076,6.13429737714,4.31329493477,2.82763024139,1.68768986623,0.968978486099,0.476194191189,0.208732551994,0.0826807718799,0.0267190092025,0.00907671321185,0.00327711462565,0.000504083489874,0.000504337552719,0.000251541981316,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_6 y7_DELTAR_6_weights = numpy.array([0.0,0.0,0.0105965838232,0.0220445819147,0.0246335330716,0.036659517193,0.0541441594077,0.0901870935238,0.126800446209,0.180636179124,0.273406045878,0.440072413223,0.789007111946,1.5556659239,4.05313578167,15.7287614821,15.6981317614,14.1111543455,12.8958322034,11.4667717911,9.68266353166,8.00078696361,6.2318146246,4.70749718025,3.36936125403,2.26604552297,1.3892747642,0.809907397883,0.410813332469,0.200961557997,0.0735794369958,0.0274838165264,0.0100306237574,0.00286040005965,0.00143093578291,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_7 y7_DELTAR_7_weights = numpy.array([0.0,0.0,0.0015120887282,0.0025699127657,0.00399414868973,0.00557153368721,0.00893884523264,0.0116833312118,0.0174252186633,0.025588088418,0.042047766521,0.0680626739318,0.126317601203,0.267415051074,0.782551498671,3.75849153154,3.6196591648,3.06057041504,2.53501136641,2.01994645834,1.52943046313,1.09714814706,0.727797146796,0.444742431606,0.239862400031,0.11778616667,0.0529282289242,0.0188474345491,0.0065427404128,0.00159827730584,0.000626337163876,0.000237723045424,6.47734900894e-05,4.32688838282e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_8 y7_DELTAR_8_weights = numpy.array([0.0,0.0,0.00031204174528,0.000596577177178,0.000907172863031,0.0012498475166,0.00212951332377,0.00269294636746,0.00348263915304,0.00552912508447,0.0108297065501,0.0179724189316,0.0355705077542,0.0859228672158,0.292804462415,1.92345356789,1.72205214886,1.2494041059,0.905775510474,0.601716642854,0.384017281713,0.215347918235,0.115560031875,0.0524788003918,0.0193568819884,0.00654326743897,0.00187024873815,0.00059551839676,0.000141957358155,0.000113491474901,0.0,2.84511078463e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_9 y7_DELTAR_9_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.1293724655,623.023856931,1855.82327085,4566.51833926,9386.42858355,19413.5543961,38106.0119859,64902.3270658,83204.3916249,89502.006032,85263.5805681,75039.2721871,60592.6882406,48059.7903435,36387.5974335,27282.8499936,20357.2775511,14928.3738663,11033.3606097,7746.76785681,5620.15308809,3810.65849228,2512.84766258,1686.36892439,1165.06174149,654.201620206,414.453687639,208.582473977,143.334923608,88.5729254516,65.1565341562,15.6315019881,2.60827125955,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_10 y7_DELTAR_10_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,4.20992814798,127.4648631,629.762222343,1568.32017551,3495.7659018,6676.35404169,12275.5619029,21963.0595621,44475.1038477,96967.2038093,163208.238756,128648.926673,96752.0069688,72410.9088154,54111.5591095,40549.3101727,30397.4136534,22808.6373206,16723.137697,12605.3097952,8936.87122606,6457.42886693,4503.57006589,3210.27360713,2163.33886219,1418.7643352,979.525383143,601.413799653,326.483272026,230.689243054,130.593393458,56.8867634198,28.4423236171,18.9643860493,12.6358829062,2.10485095425,2.10713066331,1.05142452132,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_11 y7_DELTAR_11_weights = numpy.array([0.0,0.0,0.0,23.4958481084,143.978089129,410.689887727,791.21498257,1152.34488444,1536.86367229,2040.99460325,2711.3509986,3923.78993543,6256.64995607,11920.9123616,28650.8435723,59123.2937514,35806.2358328,23474.319667,16571.7818896,11942.0834685,8521.0900311,6115.64884732,4342.44761342,3036.68174984,2113.54041719,1427.63267193,993.425565193,623.720020234,407.914974226,234.481151391,148.796533155,85.6869620429,49.286913164,24.644209674,11.7491228537,5.98716981431,2.30385445151,1.61207335708,0.0,0.230404695105,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_12 y7_DELTAR_12_weights = numpy.array([0.0,0.0,9.66472600856,43.7500050963,64.6575651774,83.7935902555,102.179998422,117.602717167,138.705981699,174.368741766,223.494175291,319.032725612,521.055502718,1048.09486042,2847.67903945,8553.2963096,5043.08864714,3097.07275794,2056.65218962,1403.34864431,962.665847282,645.177982676,427.994516118,286.549172234,179.106043651,114.225997868,69.4464573257,40.7922018119,21.3496936379,11.3807081853,5.56627777849,2.60314773211,1.05230364103,0.498288846531,0.221571832062,0.0554093276329,0.0,0.0276409781179,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_13 y7_DELTAR_13_weights = numpy.array([0.0,0.0,7.87346431067,11.3535897502,13.5102053263,15.7677732554,17.2401750961,19.6494264235,23.3193745701,28.6322864583,38.2301997352,55.469064077,94.4802609738,195.743553993,577.640977327,2175.76351158,1291.2252573,753.755318426,487.588274406,315.985901509,207.1243601,133.151274656,83.295521862,49.3109766138,30.0054350719,15.8803585527,8.70110247882,4.6476094243,1.97639171691,1.00805014485,0.393204438829,0.211687362762,0.0302185964871,0.0201784189377,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_14 y7_DELTAR_14_weights = numpy.array([0.0,0.0,3.66388129673,3.92687516306,4.08518088053,4.71938868855,5.07287759159,5.66696071368,6.89153888877,8.6855805805,11.9701260435,18.0021371408,31.7838683233,69.5879169443,221.631197821,1038.29675249,620.115882889,348.41266281,213.528735231,132.984997673,82.0197211869,49.1317526265,29.2762158829,15.7413386628,7.84283521114,3.8703335594,1.86729992669,0.752527346481,0.265961992723,0.118844094956,0.0367957259207,0.0226352937279,0.0169645894799,0.0,0.00282706133047,0.00283195831966,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_15 y7_DELTAR_15_weights = numpy.array([0.0,0.0,0.417498927285,0.406566599605,0.425134824592,0.435821252297,0.441724387838,0.475219131261,0.627590737741,0.865206093423,1.22820597643,1.84640631286,3.61931795606,9.21152887102,32.8721828224,198.789155758,119.815206019,62.8627038934,35.8039462505,20.7399908805,11.4534820142,5.95634730251,2.92169228214,1.40318726438,0.575638134817,0.17360313735,0.0609456175852,0.0137336140531,0.0106506475455,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating weights for histo: y7_DELTAR_16 y7_DELTAR_16_weights = numpy.array([0.0,0.0,0.0543461063394,0.0577787040255,0.0518208291538,0.0613940059203,0.0646422818645,0.0751126888062,0.0994859078122,0.126014412576,0.211267261994,0.38262104881,0.842287199238,2.33311156389,9.92480534291,80.4032157585,48.1682469736,22.9519735956,11.5936449961,5.77188938155,2.74595182721,1.20504016668,0.456496709964,0.145171934789,0.0429785462478,0.00740329084729,0.00270790860536,0.000360835304987,0.000360624139899,0.000360558591298,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]) # Creating a new Canvas fig = plt.figure(figsize=(12,6),dpi=80) frame = gridspec.GridSpec(1,1,right=0.7) pad = fig.add_subplot(frame[0]) # Creating a new Stack pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights+y7_DELTAR_13_weights+y7_DELTAR_14_weights+y7_DELTAR_15_weights+y7_DELTAR_16_weights,\ label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#e5e5e5", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights+y7_DELTAR_13_weights+y7_DELTAR_14_weights+y7_DELTAR_15_weights,\ label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#f2f2f2", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights+y7_DELTAR_13_weights+y7_DELTAR_14_weights,\ label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ccc6aa", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights+y7_DELTAR_13_weights,\ label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ccc6aa", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights,\ label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#c1bfa8", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights,\ label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#bab5a3", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights,\ label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#b2a596", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights,\ label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#b7a39b", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights,\ label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#ad998c", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights,\ label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#9b8e82", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights,\ label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#876656", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights,\ label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#afcec6", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights,\ label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#84c1a3", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights,\ label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#89a8a0", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights,\ label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#829e8c", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights+y7_DELTAR_1_weights,\ label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#adbcc6", linewidth=4, linestyle="dashdot",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") pad.hist(x=xData, bins=xBinning, weights=y7_DELTAR_0_weights,\ label="$signal$", histtype="step", rwidth=1.0,\ color=None, edgecolor="#7a8e99", linewidth=3, linestyle="dashed",\ bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical") # Axis plt.rc('text',usetex=False) plt.xlabel(r"\Delta R [ j_{1} , j_{2} ] ",\ fontsize=16,color="black") plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 40.0\ \mathrm{fb}^{-1})$ ",\ fontsize=16,color="black") # Boundary of y-axis ymax=(y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights+y7_DELTAR_13_weights+y7_DELTAR_14_weights+y7_DELTAR_15_weights+y7_DELTAR_16_weights).max()*1.1 ymin=0 # linear scale #ymin=min([x for x in (y7_DELTAR_0_weights+y7_DELTAR_1_weights+y7_DELTAR_2_weights+y7_DELTAR_3_weights+y7_DELTAR_4_weights+y7_DELTAR_5_weights+y7_DELTAR_6_weights+y7_DELTAR_7_weights+y7_DELTAR_8_weights+y7_DELTAR_9_weights+y7_DELTAR_10_weights+y7_DELTAR_11_weights+y7_DELTAR_12_weights+y7_DELTAR_13_weights+y7_DELTAR_14_weights+y7_DELTAR_15_weights+y7_DELTAR_16_weights) if x])/100. # log scale plt.gca().set_ylim(ymin,ymax) # Log/Linear scale for X-axis plt.gca().set_xscale("linear") #plt.gca().set_xscale("log",nonposx="clip") # Log/Linear scale for Y-axis plt.gca().set_yscale("linear") #plt.gca().set_yscale("log",nonposy="clip") # Legend plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.) # Saving the image plt.savefig('../../HTML/MadAnalysis5job_0/selection_6.png') plt.savefig('../../PDF/MadAnalysis5job_0/selection_6.png') plt.savefig('../../DVI/MadAnalysis5job_0/selection_6.eps') # Running! if __name__ == '__main__': selection_6()

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py

Python

authentication/admin.py

nicbou/markdown-notes

a5d398b032b7a837909b684bb3121c7b68f49e7b

[ "CC0-1.0" ]

121

2015-04-11T20:59:48.000Z

2021-05-12T02:15:36.000Z

authentication/admin.py

nicbou/markdown-notes

a5d398b032b7a837909b684bb3121c7b68f49e7b

[ "CC0-1.0" ]

56

2015-08-10T08:16:35.000Z

2022-03-11T23:12:33.000Z

authentication/admin.py

nicbou/markdown-notes

a5d398b032b7a837909b684bb3121c7b68f49e7b

[ "CC0-1.0" ]

32

2015-08-11T02:50:44.000Z

2021-09-02T10:15:00.000Z

from django.contrib import admin from django.contrib.auth.admin import UserAdmin from django.contrib.auth.models import User UserAdmin.list_display = ('username', 'email', 'first_name', 'last_name', 'is_active', 'date_joined') admin.site.unregister(User) admin.site.register(User, UserAdmin)

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py

Python

lightly/active_learning/scorers/__init__.py

CodeGuy-007/lightly

64143fe8a477c04288009c65fa1265cef8aa48f8

[ "MIT" ]

1,515

2020-10-05T13:04:17.000Z

2022-03-31T16:14:55.000Z

lightly/active_learning/scorers/__init__.py

CodeGuy-007/lightly

64143fe8a477c04288009c65fa1265cef8aa48f8

[ "MIT" ]

628

2020-10-14T11:38:51.000Z

2022-03-31T14:40:54.000Z

lightly/active_learning/scorers/__init__.py

CodeGuy-007/lightly

64143fe8a477c04288009c65fa1265cef8aa48f8

[ "MIT" ]

108

2020-10-17T08:31:06.000Z

2022-03-20T16:44:22.000Z

""" Collection of Active Learning Scorers """ # Copyright (c) 2020. Lightly AG and its affiliates. # All Rights Reserved from lightly.active_learning.scorers.scorer import Scorer from lightly.active_learning.scorers.classification import ScorerClassification from lightly.active_learning.scorers.detection import ScorerObjectDetection from lightly.active_learning.scorers.semantic_segmentation import ScorerSemanticSegmentation

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54

py

Python

nocd/metrics/__init__.py

sckangz/overlapping-community-detection

414856fd0d8f61d5bbeec06deb60c3e7b477a342

[ "MIT" ]

91

2019-09-27T04:46:09.000Z

2022-03-31T11:57:20.000Z

nocd/metrics/__init__.py

wrnge/overlapping-community-detection

414856fd0d8f61d5bbeec06deb60c3e7b477a342

[ "MIT" ]

9

2019-12-03T07:28:10.000Z

2022-01-07T14:08:24.000Z

nocd/metrics/__init__.py

wrnge/overlapping-community-detection

414856fd0d8f61d5bbeec06deb60c3e7b477a342

[ "MIT" ]

31

2019-10-06T03:13:11.000Z

2022-03-22T05:41:02.000Z

from .supervised import * from .unsupervised import *

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Python

lib/models/external/modules/dcn_deform_conv.py

Zhen-Dong/CoDeNet

5f5cb78859a691db532c8318a38c1b124adfb104

[ "MIT" ]

15

2021-03-03T03:16:32.000Z

2022-03-25T04:14:57.000Z

lib/models/external/modules/dcn_deform_conv.py

Zhen-Dong/CoDeNet

5f5cb78859a691db532c8318a38c1b124adfb104

[ "MIT" ]

3

2021-07-12T07:04:12.000Z

2022-03-30T12:20:47.000Z

lib/models/external/modules/dcn_deform_conv.py

Zhen-Dong/CoDeNet

5f5cb78859a691db532c8318a38c1b124adfb104

[ "MIT" ]

3

2021-03-04T14:50:49.000Z

2021-12-16T08:38:56.000Z

import math import torch import torch.nn as nn from torch.nn.modules.utils import _pair import sys import os dirname = os.path.dirname(__file__) sys.path.insert(0, os.path.join(dirname,"../")) from functions.dcn_deform_conv import deform_conv, modulated_deform_conv class DeformConv(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False): super(DeformConv, self).__init__() assert not bias assert in_channels % groups == 0, \ 'in_channels {} cannot be divisible by groups {}'.format( in_channels, groups) assert out_channels % groups == 0, \ 'out_channels {} cannot be divisible by groups {}'.format( out_channels, groups) self.in_channels = in_channels self.out_channels = out_channels self.kernel_size = _pair(kernel_size) self.stride = _pair(stride) self.padding = _pair(padding) self.dilation = _pair(dilation) self.groups = groups self.deformable_groups = deformable_groups self.weight = nn.Parameter( torch.Tensor(out_channels, in_channels // self.groups, *self.kernel_size)) self.reset_parameters() def reset_parameters(self): n = self.in_channels for k in self.kernel_size: n *= k stdv = 1. / math.sqrt(n) self.weight.data.uniform_(-stdv, stdv) def forward(self, x, offset): return deform_conv(x, offset, self.weight, self.stride, self.padding, self.dilation, self.groups, self.deformable_groups) class DeformConvPack(DeformConv): def __init__(self, *args, **kwargs): super(DeformConvPack, self).__init__(*args, **kwargs) self.conv_offset = nn.Conv2d( self.in_channels, self.deformable_groups * 2 * self.kernel_size[0] * self.kernel_size[1], kernel_size=self.kernel_size, stride=_pair(self.stride), padding=_pair(self.padding), bias=True) self.init_offset() def init_offset(self): self.conv_offset.weight.data.zero_() self.conv_offset.bias.data.zero_() def forward(self, x): offset = self.conv_offset(x) return deform_conv(x, offset, self.weight, self.stride, self.padding, self.dilation, self.groups, self.deformable_groups) class DeformConvPack1x1(DeformConv): def __init__(self, *args, **kwargs): super(DeformConvPack1x1, self).__init__(*args, **kwargs) self.conv_offset = nn.Conv2d( self.in_channels, self.deformable_groups * 2 * self.kernel_size[0] * self.kernel_size[1], kernel_size=1, stride=1, padding=0, bias=True) self.init_offset() def init_offset(self): self.conv_offset.weight.data.zero_() self.conv_offset.bias.data.zero_() def forward(self, x): offset = self.conv_offset(x) return deform_conv(x, offset, self.weight, self.stride, self.padding, self.dilation, self.groups, self.deformable_groups) class DeformConvPackDW(DeformConv): def __init__(self, *args, **kwargs): super(DeformConvPackDW, self).__init__(*args, **kwargs) inp = int(self.in_channels) oup = int(self.deformable_groups * 18) self.conv_dw = nn.Conv2d(inp, inp, 3, 1, 1, groups=inp, bias=True) self.conv_pw = nn.Conv2d(inp, oup, 1, 1, 0, bias=True) self.conv_pw.weight.data.zero_() self.conv_pw.bias.data.zero_() def forward(self, x): offset = self.conv_pw(self.conv_dw(x)) return deform_conv(x, offset, self.weight, self.stride, self.padding, self.dilation, self.groups, self.deformable_groups) class ModulatedDeformConv(nn.Module): def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, deformable_groups=1, bias=False): super(ModulatedDeformConv, self).__init__() self.in_channels = in_channels self.out_channels = out_channels self.kernel_size = _pair(kernel_size) self.stride = stride self.padding = padding self.dilation = dilation self.groups = groups self.deformable_groups = deformable_groups self.with_bias = bias self.weight = nn.Parameter( torch.Tensor(out_channels, in_channels // groups, *self.kernel_size)) if bias: self.bias = nn.Parameter(torch.Tensor(out_channels)) else: self.register_parameter('bias', None) self.reset_parameters() def reset_parameters(self): n = self.in_channels for k in self.kernel_size: n *= k stdv = 1. / math.sqrt(n) self.weight.data.uniform_(-stdv, stdv) if self.bias is not None: self.bias.data.zero_() def forward(self, x, offset, mask): return modulated_deform_conv(x, offset, mask, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups, self.deformable_groups) class ModulatedDeformConvPack(ModulatedDeformConv): def __init__(self, *args, **kwargs): super(ModulatedDeformConvPack, self).__init__(*args, **kwargs) self.conv_offset_mask = nn.Conv2d( self.in_channels, self.deformable_groups * 3 * self.kernel_size[0] * self.kernel_size[1], kernel_size=self.kernel_size, stride=_pair(self.stride), padding=_pair(self.padding), bias=True) self.init_offset() def init_offset(self): self.conv_offset_mask.weight.data.zero_() self.conv_offset_mask.bias.data.zero_() def forward(self, x): out = self.conv_offset_mask(x) o1, o2, mask = torch.chunk(out, 3, dim=1) offset = torch.cat((o1, o2), dim=1) mask = torch.sigmoid(mask) return modulated_deform_conv(x, offset, mask, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups, self.deformable_groups) class DeformConvWithOffsetBound(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False, offset_bound=8): super(DeformConvWithOffsetBound, self).__init__() self.conv_offset = nn.Conv2d(in_channels, kernel_size * kernel_size * 2 * deformable_groups, kernel_size=3, stride=1, padding=1, bias=True) self.conv_offset.weight.data.zero_() self.conv_offset.bias.data.zero_() self.conv_bound = torch.nn.Hardtanh( min_val=-offset_bound, max_val=offset_bound, inplace=True) self.conv = DeformConv(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, deformable_groups=deformable_groups, bias=bias) def forward(self, x): return self.conv(x, self.conv_bound(self.conv_offset(x))) class DeformConvWithOffsetRound(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False): super(DeformConvWithOffsetRound, self).__init__() self.conv_offset = nn.Conv2d(in_channels, kernel_size * kernel_size * 2 * deformable_groups, kernel_size=3, stride=1, padding=1, bias=True) self.conv_offset.weight.data.zero_() self.conv_offset.bias.data.zero_() self.conv = DeformConv(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, deformable_groups=deformable_groups, bias=bias) def forward(self, x): return self.conv(x, self.conv_offset(x).round_()) class DeformConvWithOffsetScale(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False): super(DeformConvWithOffsetScale, self).__init__() self.conv_scale = nn.Conv2d( in_channels, deformable_groups, kernel_size=3, stride=1, padding=1, bias=True) self.conv_scale.weight.data.zero_() # self.conv_scale.bias.data.zero_() nn.init.constant_(self.conv_scale.bias.data, 1) self.conv = DeformConv(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, deformable_groups=deformable_groups, bias=bias) self.anchor_offset = torch.FloatTensor([-1, -1, -1, 0, -1, 1, 0, -1, 0, 0, 0, 1, 1, -1, 1, 0, 1, 1]).unsqueeze(0).unsqueeze(2).unsqueeze(2) def forward(self, x): o = self.anchor_offset.to(x.device) * (self.conv_scale(x) - 1) return self.conv(x, o) class DeformConvWithOffsetScaleBound(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False, offset_bound=8): super(DeformConvWithOffsetScaleBound, self).__init__() self.conv_scale = nn.Conv2d( in_channels, deformable_groups, kernel_size=3, stride=1, padding=1, bias=True) self.conv_scale.weight.data.zero_() # self.conv_scale.bias.data.zero_() nn.init.constant_(self.conv_scale.bias.data, 1) self.conv_bound = torch.nn.Hardtanh( min_val=-offset_bound, max_val=offset_bound, inplace=True) self.conv = DeformConv(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, deformable_groups=deformable_groups, bias=bias) self.anchor_offset = torch.FloatTensor([-1, -1, -1, 0, -1, 1, 0, -1, 0, 0, 0, 1, 1, -1, 1, 0, 1, 1]).unsqueeze(0).unsqueeze(2).unsqueeze(2) def forward(self, x): s = self.conv_bound(self.conv_scale(x)) o = self.anchor_offset.to(x.device) * (s - 1) return self.conv(x, o) class DeformConvWithOffsetScaleBoundPositive(nn.Module): """ This is the Co-Designed Deformable Convolution Module used in CoDeNet. """ def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False, offset_bound=8, hidden_state=64, BN_MOMENTUM=0.1): super(DeformConvWithOffsetScaleBoundPositive, self).__init__() self.in_channels = in_channels self.out_channels = out_channels self.conv_scale = nn.Conv2d(in_channels, deformable_groups, kernel_size=1, stride=stride, padding=0, bias=True) for m in self.conv_scale.modules(): if isinstance(m, nn.Conv2d): m.weight.data.zero_() if m.bias is not None: print("initialize offset bias") nn.init.constant_(m.bias, 1) self.conv_bound = torch.nn.Hardtanh( min_val=-offset_bound+1, max_val=offset_bound, inplace=True) self.conv = DeformConv(in_channels, in_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=in_channels, deformable_groups=deformable_groups, bias=bias) if in_channels != out_channels: self.conv_channel = nn.Conv2d(in_channels, out_channels, 1, 1, 0, bias=False) if type(self.conv_channel) == nn.Conv2d: torch.nn.init.kaiming_normal_(self.conv_channel.weight, nonlinearity='relu') if self.conv_channel.bias is not None: nn.init.constant_(self.conv_channel.bias, 0) self.anchor_offset = torch.FloatTensor([-1, -1, -1, 0, -1, 1, 0, -1, 0, 0, 0, 1, 1, -1, 1, 0, 1, 1]).unsqueeze(0).unsqueeze(2).unsqueeze(2) def forward(self, x): s = self.conv_bound(self.conv_scale(x)) o = self.anchor_offset.to(x.device) * (s - 1) if self.in_channels != self.out_channels: return self.conv_channel(self.conv(x, o)) else: return self.conv(x, o) class ModulatedDeformConvWithOffsetScaleBoundPositive(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False, offset_bound=8): super(ModulatedDeformConvWithOffsetScaleBoundPositive, self).__init__() self.conv_mask = nn.Conv2d( in_channels, deformable_groups * 9, kernel_size=3, stride=1, padding=1, bias=True) self.conv_scale = nn.Conv2d( in_channels, deformable_groups, kernel_size=3, stride=1, padding=1, bias=True) self.conv_scale.weight.data.zero_() # self.conv_scale.bias.data.zero_() nn.init.constant_(self.conv_scale.bias.data, 1) self.conv_bound = torch.nn.Hardtanh( min_val=0, max_val=offset_bound, inplace=True) self.conv = ModulatedDeformConv(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, deformable_groups=deformable_groups, bias=bias) self.anchor_offset = torch.FloatTensor([-1, -1, -1, 0, -1, 1, 0, -1, 0, 0, 0, 1, 1, -1, 1, 0, 1, 1]).unsqueeze(0).unsqueeze(2).unsqueeze(2) def forward(self, x): m = self.conv_mask(x) s = self.conv_bound(self.conv_scale(x)) o = self.anchor_offset.to(x.device) * (s - 1) return self.conv(x, o, m) class ModulatedDeformConvWithOffset1x1ScaleBoundPositive(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, deformable_groups=1, bias=False, offset_bound=8): super(ModulatedDeformConvWithOffset1x1ScaleBoundPositive, self).__init__() self.conv_mask = nn.Conv2d( in_channels, deformable_groups * 9, kernel_size=1, stride=1, padding=0, bias=True) self.conv_scale = nn.Conv2d( in_channels, deformable_groups, kernel_size=1, stride=1, padding=0, bias=True) self.conv_scale.weight.data.zero_() # self.conv_scale.bias.data.zero_() nn.init.constant_(self.conv_scale.bias.data, 1) self.conv_bound = torch.nn.Hardtanh( min_val=0, max_val=offset_bound, inplace=True) self.conv = ModulatedDeformConv(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, dilation=dilation, groups=groups, deformable_groups=deformable_groups, bias=bias) self.anchor_offset = torch.FloatTensor([-1, -1, -1, 0, -1, 1, 0, -1, 0, 0, 0, 1, 1, -1, 1, 0, 1, 1]).unsqueeze(0).unsqueeze(2).unsqueeze(2) def forward(self, x): m = self.conv_mask(x) s = self.conv_bound(self.conv_scale(x)) o = self.anchor_offset.to(x.device) * (s - 1) return self.conv(x, o, m)

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0000d30a718318da726920f84eb7f02264e21495

188

py

Python

tests/test_lesson4_frog_river_one.py

ardenn/codility

45f8d5ae7de92cfde60a3f3f5ebee2a233273bd4

[ "MIT" ]

null

tests/test_lesson4_frog_river_one.py

ardenn/codility

45f8d5ae7de92cfde60a3f3f5ebee2a233273bd4

[ "MIT" ]

null

tests/test_lesson4_frog_river_one.py

ardenn/codility

45f8d5ae7de92cfde60a3f3f5ebee2a233273bd4

[ "MIT" ]

null

from solutions.lesson4_frog_river_one import solution def test_for_x_5_time_found(): solution([1,3,1,4,2,3,5,4],5) def test_for_x_5_time_not_found(): solution([1,3,1,4,2,3,6,4],5)

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py

Python

lib/test/lib/classifiers/hmm/test_topologies.py

eonu/tempora

b857c72737532983ebe7403d627fc632cbc06dde

[ "MIT" ]

32

2019-12-31T15:53:47.000Z

2022-03-31T12:40:40.000Z

lib/test/lib/classifiers/hmm/test_topologies.py

eonu/tempora

b857c72737532983ebe7403d627fc632cbc06dde

[ "MIT" ]

25

2020-06-01T18:32:47.000Z

2022-01-22T13:15:36.000Z

lib/test/lib/classifiers/hmm/test_topologies.py

eonu/tempora

b857c72737532983ebe7403d627fc632cbc06dde

[ "MIT" ]

6

2019-12-31T15:54:26.000Z

2022-01-23T07:09:28.000Z

import pytest, warnings, numpy as np from sequentia.classifiers import _Topology, _LeftRightTopology, _ErgodicTopology, _LinearTopology from ....support import assert_equal, assert_all_equal, assert_distribution # Set seed for reproducible randomness seed = 0 np.random.seed(seed) rng = np.random.RandomState(seed) # ========= # # _Topology # # ========= # # --------------------------- # # _Topology.uniform_initial() # # --------------------------- # def test_uniform_initial_min(): """Generate a uniform initial state distribution with the minimum number of states""" topology = _Topology(n_states=1, random_state=rng) initial = topology.uniform_initial() assert_distribution(initial) assert_equal(initial, np.array([ 1. ])) def test_uniform_initial_small(): """Generate a uniform initial state distribution with a few states""" topology = _Topology(n_states=2, random_state=rng) initial = topology.uniform_initial() assert_distribution(initial) assert_equal(initial, np.array([ 0.5, 0.5 ])) def test_uniform_initial_many(): """Generate a uniform initial state distribution with many states""" topology = _Topology(n_states=5, random_state=rng) initial = topology.uniform_initial() assert_distribution(initial) assert_equal(initial, np.array([ 0.2, 0.2, 0.2, 0.2, 0.2 ])) # -------------------------- # # _Topology.random_initial() # # -------------------------- # def test_random_initial_min(): """Generate a random initial state distribution with minimal states""" topology = _Topology(n_states=1, random_state=rng) initial = topology.random_initial() assert_distribution(initial) assert_equal(initial, np.array([ 1. ])) def test_random_initial_small(): """Generate a random initial state distribution with few states""" topology = _Topology(n_states=2, random_state=rng) initial = topology.random_initial() assert_distribution(initial) assert_equal(initial, np.array([ 0.57633871, 0.42366129 ])) def test_random_initial_many(): """Generate a random initial state distribution with many states""" topology = _Topology(n_states=5, random_state=rng) initial = topology.random_initial() assert_distribution(initial) assert_equal(initial, np.array([ 0.15210286, 0.10647349, 0.20059295, 0.11120171, 0.42962898 ])) # ================== # # _LeftRightTopology # # ================== # # ---------------------------------------- # # _LeftRightTopology.uniform_transitions() # # ---------------------------------------- # def test_left_right_uniform_transitions_min(): """Generate a uniform left-right transition matrix with minimal states""" topology = _LeftRightTopology(n_states=1, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [1.] ])) def test_left_right_uniform_transitions_small(): """Generate a uniform left-right transition matrix with few states""" topology = _LeftRightTopology(n_states=2, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.5, 0.5], [0. , 1. ] ])) def test_left_right_uniform_transitions_many(): """Generate a uniform left-right transition matrix with many states""" topology = _LeftRightTopology(n_states=5, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.2, 0.2 , 0.2 , 0.2 , 0.2 ], [0. , 0.25, 0.25 , 0.25 , 0.25 ], [0. , 0. , 0.33333333, 0.33333333, 0.33333333], [0. , 0. , 0. , 0.5 , 0.5 ] , [0. , 0. , 0. , 0. , 1. ] ])) # --------------------------------------- # # _LeftRightTopology.random_transitions() # # --------------------------------------- # def test_left_right_random_transitions_min(): """Generate a random left-right transition matrix with minimal states""" topology = _LeftRightTopology(n_states=1, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [1.] ])) def test_left_right_random_transitions_small(): """Generate a random left-right transition matrix with few states""" topology = _LeftRightTopology(n_states=2, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.23561633, 0.76438367], [0. , 1. ] ])) def test_left_right_random_transitions_many(): """Generate a random left-right transition matrix with many states""" topology = _LeftRightTopology(n_states=5, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.23169814, 0.71716356, 0.02033845, 0.02516204, 0.00563782], [0. , 0.19474072, 0.16405008, 0.22228532, 0.41892388], [0. , 0. , 0.42912755, 0.16545797, 0.40541448], [0. , 0. , 0. , 0.109713 , 0.890287 ], [0. , 0. , 0. , 0. , 1. ] ])) # ----------------------------------------- # # _LeftRightTopology.validate_transitions() # # ----------------------------------------- # def test_left_right_validate_transitions_invalid(): """Validate an invalid left-right transition matrix""" topology = _LeftRightTopology(n_states=5, random_state=rng) transitions = _ErgodicTopology(n_states=5, random_state=rng).random_transitions() with pytest.raises(ValueError) as e: topology.validate_transitions(transitions) assert str(e.value) == 'Left-right transition matrix must be upper-triangular' def test_left_right_validate_transitions_valid(): """Validate a valid left-right transition matrix""" topology = _LeftRightTopology(n_states=5, random_state=rng) transitions = topology.random_transitions() topology.validate_transitions(transitions) # -------------------------------------- # # _ErgodicTopology.uniform_transitions() # # -------------------------------------- # def test_ergodic_uniform_transitions_min(): """Generate a uniform ergodic transition matrix with minimal states""" topology = _ErgodicTopology(n_states=1, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [1.] ])) def test_ergodic_uniform_transitions_small(): """Generate a uniform ergodic transition matrix with few states""" topology = _ErgodicTopology(n_states=2, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.5, 0.5], [0.5, 0.5] ])) def test_ergodic_uniform_transitions_many(): """Generate a uniform ergodic transition matrix with many states""" topology = _ErgodicTopology(n_states=5, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.2, 0.2, 0.2, 0.2, 0.2], [0.2, 0.2, 0.2, 0.2, 0.2], [0.2, 0.2, 0.2, 0.2, 0.2], [0.2, 0.2, 0.2, 0.2, 0.2], [0.2, 0.2, 0.2, 0.2, 0.2] ])) # ------------------------------------- # # _ErgodicTopology.random_transitions() # # ------------------------------------- # def test_ergodic_random_transitions_min(): """Generate a random ergodic transition matrix with minimal states""" topology = _ErgodicTopology(n_states=1, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [1.] ])) def test_ergodic_random_transitions_small(): """Generate a random ergodic transition matrix with few states""" topology = _ErgodicTopology(n_states=2, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.9474011 , 0.0525989 ], [0.85567599, 0.14432401] ])) def test_ergodic_random_transitions_many(): """Generate a random ergodic transition matrix with many states""" topology = _ErgodicTopology(n_states=5, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.58715548, 0.14491542, 0.20980762, 0.00623944, 0.05188205], [0.0840705 , 0.23055049, 0.08297536, 0.25124688, 0.35115677], [0.02117615, 0.37664662, 0.26705912, 0.09851123, 0.23660688], [0.01938041, 0.16853843, 0.52046123, 0.07535256, 0.21626737], [0.04996846, 0.44545843, 0.12079423, 0.07154241, 0.31223646] ])) # --------------------------------------- # # _ErgodicTopology.validate_transitions() # # --------------------------------------- # def test_ergodic_validate_transitions_invalid(): """Validate an invalid ergodic transition matrix""" topology = _ErgodicTopology(n_states=5, random_state=rng) transitions = _LeftRightTopology(n_states=5, random_state=rng).random_transitions() with pytest.warns(UserWarning): topology.validate_transitions(transitions) def test_ergodic_validate_transitions_valid(): """Validate a valid ergodic transition matrix""" topology = _ErgodicTopology(n_states=5, random_state=rng) transitions = topology.random_transitions() topology.validate_transitions(transitions) # =============== # # _LinearTopology # # =============== # # ------------------------------------- # # _LinearTopology.uniform_transitions() # # ------------------------------------- # def test_linear_uniform_transitions_min(): """Generate a uniform linear transition matrix with minimal states""" topology = _LinearTopology(n_states=1, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [1.] ])) def test_linear_uniform_transitions_small(): """Generate a uniform linear transition matrix with few states""" topology = _LinearTopology(n_states=2, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.5, 0.5], [0. , 1. ] ])) def test_linear_uniform_transitions_many(): """Generate a uniform linear transition matrix with many states""" topology = _LinearTopology(n_states=5, random_state=rng) transitions = topology.uniform_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.5, 0.5, 0. , 0. , 0. ], [0. , 0.5, 0.5, 0. , 0. ], [0. , 0. , 0.5, 0.5, 0. ], [0. , 0. , 0. , 0.5, 0.5], [0. , 0. , 0. , 0. , 1. ] ])) # ------------------------------------ # # _LinearTopology.random_transitions() # # ------------------------------------ # def test_linear_random_transitions_min(): """Generate a random linear transition matrix with minimal states""" topology = _LinearTopology(n_states=1, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [1.] ])) def test_linear_random_transitions_small(): """Generate a random linear transition matrix with few states""" topology = _LinearTopology(n_states=2, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.65157396, 0.34842604], [0. , 1. ] ])) def test_linear_random_transitions_many(): """Generate a random linear transition matrix with many states""" topology = _LinearTopology(n_states=5, random_state=rng) transitions = topology.random_transitions() assert_distribution(transitions) assert_equal(transitions, np.array([ [0.44455421, 0.55544579, 0. , 0. , 0. ], [0. , 0.57553614, 0.42446386, 0. , 0. ], [0. , 0. , 0.92014965, 0.07985035, 0. ], [0. , 0. , 0. , 0.66790982, 0.33209018], [0. , 0. , 0. , 0. , 1. ] ])) # -------------------------------------- # # _LinearTopology.validate_transitions() # # -------------------------------------- # def test_linear_validate_transitions_invalid(): """Validate an invalid linear transition matrix""" topology = _LinearTopology(n_states=5, random_state=rng) transitions = _ErgodicTopology(n_states=5, random_state=rng).random_transitions() with pytest.raises(ValueError) as e: topology.validate_transitions(transitions) assert str(e.value) == 'Left-right transition matrix must be upper-triangular' def test_linear_validate_transitions_valid(): """Validate a valid linear transition matrix""" topology = _LinearTopology(n_states=5, random_state=rng) transitions = topology.random_transitions() topology.validate_transitions(transitions)

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TwitterStatsLib/test/__init__.py

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TwitterStatsLib/test/__init__.py

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danieltodor/rpi-gpio-devices

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danieltodor/rpi-gpio-devices

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problemfighter/pf-py-common

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pf_py_common/py_object_copier.py

problemfighter/pf-py-common

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pf_py_common/py_object_copier.py

problemfighter/pf-py-common

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microservices/svc/echo/run.py

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microservices/svc/echo/run.py

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beekeeper/admin.py

evan10s/beekeeper

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beekeeper/admin.py

evan10s/beekeeper

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beekeeper/admin.py

evan10s/beekeeper

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from django.contrib import admin from django.conf import settings # Register your models here. from .models import Treatment admin.site.register(Treatment)

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enthought/etsproxy

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enthought/help/help_plugin/help_code.py

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enthought/help/help_plugin/help_code.py

enthought/etsproxy

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# proxy module from __future__ import absolute_import from apptools.help.help_plugin.help_code import *

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cblib/scripts/dist/INTEGER.py

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cblib/scripts/dist/INTEGER.py

HFriberg/cblib-base

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2019-04-30T11:19:34.000Z

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import math def primdist(x): return max([abs(xj - math.floor(xj + 0.5)) for xj in x])

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tests/test_main.py

Ronald-TR/nina

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tests/test_main.py

Ronald-TR/nina

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2019-07-18T19:13:11.000Z

2019-07-24T01:31:13.000Z

tests/test_main.py

Ronald-TR/nina

38d780c1c1dabcc7ee660ccc13f8c8db63064da9

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2019-07-12T12:57:50.000Z

2019-07-23T03:21:19.000Z

def test_questions(): # assert 'Project name' in main.q() assert True def test_import(): try: from automail.cli import main assert True except (ImportError, ModuleNotFoundError): raise AssertionError

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targamadze28/Analysis-of-the-latent-space-of-pretrained-deep-convolutional-neural-networks

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Scripts/PerceptronFive.py

targamadze28/Analysis-of-the-latent-space-of-pretrained-deep-convolutional-neural-networks

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Scripts/PerceptronFive.py

targamadze28/Analysis-of-the-latent-space-of-pretrained-deep-convolutional-neural-networks

8147e875590a8067432b26e158937d5a00afba61

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import h5py as h5 import os.path as fs import keras from keras.models import Sequential from keras.utils import np_utils from keras.layers.core import Dense, Activation, Dropout from sklearn.model_selection import train_test_split from sklearn.datasets import load_digits from sklearn.linear_model import Perceptron from sklearn.metrics import f1_score from scipy.spatial import distance from sklearn.preprocessing import normalize from sklearn.metrics import accuracy_score import logging as logg from sklearn.decomposition import PCA from sklearn import preprocessing import umap #%% def readHDF5file(PathToSave, SavedFileName, list_group_name): data = [] ff = h5.File(fs.join(PathToSave, SavedFileName), 'r') for group in list_group_name: data.append(ff[group][...]) ff.close() return data def saveHDF5file(PathToSave, SavedFileName, list_group_name, data): num_group = len(list_group_name) num_data = len(data) if num_group != num_data: raise RuntimeError('Group name list and data list length do not match!') ff = h5.File(fs.join(PathToSave, SavedFileName), 'w') for i, group in enumerate(list_group_name): ff.create_dataset(group, data = data[i]) ff.close() return None #%% def pca_result(activations, n_comp): embedding = PCA(n_components= n_comp).fit_transform(activations) return embedding def umap_result(activations, n_comp): embedding = umap.UMAP(n_components=n_comp).fit_transform(activations) return embedding #%% def TrainPerceptron(latent_space): n = len(latent_space) shape_ls = latent_space.shape[1] labels = np.empty((n, 1), dtype = np.int32) labels[:15000], labels[15000:30000], labels[30000:] = 0, 1, 2 #labels[:5000], labels[5000:10000], labels[10000:] = 0, 1, 2 y_train = np_utils.to_categorical(labels) standardized_latent_space = preprocessing.scale(latent_space) model = Sequential() model.add(Dense(3, input_dim= shape_ls)) model.add(Activation('softmax')) model.compile(loss='categorical_crossentropy', optimizer='Nadam') model.summary() model.fit(standardized_latent_space, y_train, epochs = 250, batch_size=128, validation_split=0.3, shuffle = True, verbose=2) optim = keras.optimizers.SGD(lr=0.02, decay=1e-2/300) model.compile(loss='categorical_crossentropy', optimizer=optim) model.fit(standardized_latent_space, y_train, epochs = 300, batch_size=128, validation_split=0.3, shuffle = True, verbose=2) predict = model.predict(standardized_latent_space, batch_size=4096) predict = np.heaviside(predict - 0.5, 1).astype(np.int32) score = f1_score(y_train, predict, average='micro') return score #%% RootPathLatentSpace = '' logg.basicConfig(filename=fs.join(RootPathLatentSpace, "LatentSpaceLogger.log"), level=logg.INFO) logg umap_shape_mnist = [0, 1024, 512, 256, 128, 64, 32, 16, 8, 4, 2] umap_shape_unet = [0, 512, 256, 128, 64, 32, 16, 8, 4, 2] PathToDataSet = '' PathToModel = '' NamesDataSet = [''] name_loss_list = [''] name_NN_list = [''] num_layers = [[], []] precision = np.ones((len(name_NN_list), len(name_loss_list), 5, len(NamesDataSet),\ 7, 11, 2), dtype = np.float32) precision = precision*(-1.) """ for iter_NN in range(len(name_NN_list)): for iter_loss in range(len(name_loss_list)): for launch_num in range(5): for data_iter, data in enumerate(NamesDataSet): number_layer = num_layers[iter_NN] for li, layer_iter in enumerate(number_layer): latent_space= readHDF5file(RootPathLatentSpace,\ 'LatentSpace_Model%s_Loss%s_Launch%d_Layer%d,hdf5'%(name_NN_list[iter_NN],\ name_loss_list[iter_loss],\ launch_num + 1,\ layer_iter),\ ['latent_space'])[0] if iter_NN == 0: compress_list = umap_shape_mnist else: compress_list = umap_shape_unet for dim_iter, dim in enumerate(compress_list): if dim != 0: ls_pca = pca_result(latent_space, dim) f1_score_pca = TrainPerceptron(ls_pca) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d pca score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score_pca)) precision[iter_NN, iter_loss, launch_num, data_iter, li,\ dim_iter, 0] = f1_score_pca ls_umap = umap_result(latent_space, dim) f1_score_umap = TrainPerceptron(ls_umap) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d umap score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score_umap)) precision[iter_NN, iter_loss, launch_num, data_iter, li,\ dim_iter, 1] = f1_score_umap else: f1_score = TrainPerceptron(latent_space) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score)) precision[iter_NN, iter_loss, launch_num, data_iter, li,\ dim_iter, 0] = f1_score ff = h5.File(fs.join(RootPathLatentSpace, 'preceptron', 'perceptron.hdf5'), 'w') ff.create_dataset('precision', precision) ff.close() """ #%% """ NN1 """ RootPathLatentSpace = '' logg.basicConfig(filename=fs.join(RootPathLatentSpace, "LatentSpaceLogger.log"), level=logg.INFO) logg umap_shape_mnist = [0, 1024, 512, 256, 128, 64, 32, 16, 8, 4, 2] PathToDataSet = '' PathToModel = '' NamesDataSet = ['OnlyColor.hdf5',\ 'OnlyH.hdf5',\ 'OnlyX.hdf5',\ 'Only.hdf5'] name_loss_list = ['weighted_categorical_crossentropy',\ 'dice_loss'] name_NN_list = ['ezConvAutoEncoderForMnist', 'UnetСircumcised',\ 'UnetWithSeparableConvСircumcised'] num_layers = [6, 7] iter_NN = 0 for iter_loss in range(len(name_loss_list)): for launch_num in range(5): for data_iter, data in enumerate(NamesDataSet): number_layer = num_layers[iter_NN] for li, layer_iter in enumerate(number_layer): latent_space= readHDF5file(RootPathLatentSpace,\ 'LatentSpace_Model%s_Loss%s_Launch%d_Layer%d,hdf5'%(name_NN_list[iter_NN],\ name_loss_list[iter_loss],\ launch_num + 1,\ layer_iter),\ ['latent_space'])[0] if iter_NN == 0: compress_list = umap_shape_mnist else: compress_list = umap_shape_unet precision = np.ones(len(compress_list), 2) for dim_iter, dim in enumerate(compress_list): if dim != 0: ls_pca = pca_result(latent_space, dim) f1_score_pca = TrainPerceptron(ls_pca) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d pca score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score_pca)) precision[dim_iter, 0] = f1_score_pca ls_umap = umap_result(latent_space, dim) f1_score_umap = TrainPerceptron(ls_umap) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d umap score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score_umap)) precision[dim_iter, 1] = f1_score_umap else: f1_score = TrainPerceptron(latent_space) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score)) precision[dim_iter, 0] = f1_score precision[dim_iter, 1] = f1_score ff = h5.File(fs.join(RootPathLatentSpace, 'preceptron',\ 'perceptron_Model%s_Loss%s_Launch%d_Layer%d.hdf5'%(name_NN_list[0],\ name_loss_list[iter_loss],\ launch_num + 1,\ layer_iter)), 'w') ff.create_dataset('precision', precision) ff.close() #%% """ NN2 """ RootPathLatentSpace = '' logg.basicConfig(filename=fs.join(RootPathLatentSpace, "LatentSpaceLogger.log"), level=logg.INFO) logg umap_shape_mnist = [0, 1024, 512, 256, 128, 64, 32, 16, 8, 4, 2] PathToDataSet = '' PathToModel = '' NamesDataSet = ['OnlyColor.hdf5',\ 'OnlyH.hdf5',\ 'OnlyX.hdf5',\ 'Only.hdf5'] name_loss_list = ['weighted_categorical_crossentropy',\ 'dice_loss'] name_NN_list = ['ezConvAutoEncoderForMnist', 'UnetСircumcised',\ 'UnetWithSeparableConvСircumcised'] num_layers = [6, 7] iter_NN = 0 for iter_loss in range(len(name_loss_list)): for launch_num in range(5): for data_iter, data in enumerate(NamesDataSet): number_layer = num_layers[iter_NN] for li, layer_iter in enumerate(number_layer): latent_space= readHDF5file(RootPathLatentSpace,\ 'LatentSpace_Model%s_Loss%s_Launch%d_Layer%d,hdf5'%(name_NN_list[iter_NN],\ name_loss_list[iter_loss],\ launch_num + 1,\ layer_iter),\ ['latent_space'])[0] if iter_NN == 0: compress_list = umap_shape_mnist else: compress_list = umap_shape_unet precision = np.ones(len(compress_list), 2) for dim_iter, dim in enumerate(compress_list): if dim != 0: ls_pca = pca_result(latent_space, dim) f1_score_pca = TrainPerceptron(ls_pca) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d pca score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score_pca)) precision[dim_iter, 0] = f1_score_pca ls_umap = umap_result(latent_space, dim) f1_score_umap = TrainPerceptron(ls_umap) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d umap score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score_umap)) precision[dim_iter, 1] = f1_score_umap else: f1_score = TrainPerceptron(latent_space) logg.info('%d / %d, %d / %d, %d / %d, %d / %d, %d / %d, %d / %d score = %f'%(iter_NN + 1, len(name_NN_list), \ iter_loss + 1, len(name_loss_list),\ launch_num + 1, 5,\ data_iter + 1, len(NamesDataSet),\ li + 1, len(number_layer),\ dim_iter + 1, len(compress_list),\ f1_score)) precision[dim_iter, 0] = f1_score precision[dim_iter, 1] = f1_score ff = h5.File(fs.join(RootPathLatentSpace, 'preceptron',\ 'perceptron_Model%s_Loss%s_Launch%d_Layer%d.hdf5'%(name_NN_list[0],\ name_loss_list[iter_loss],\ launch_num + 1,\ layer_iter)), 'w') ff.create_dataset('precision', precision) ff.close()

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060a600b661aa064e7f385c5329ef54d41eca4ee

208

py

Python

pursuit/agents/base_agent.py

goncalo-rodrigues/thesis

c6d531b72ddeaf2320a4346912df5519138d11d7

[ "MIT" ]

null

pursuit/agents/base_agent.py

goncalo-rodrigues/thesis

c6d531b72ddeaf2320a4346912df5519138d11d7

[ "MIT" ]

null

pursuit/agents/base_agent.py

goncalo-rodrigues/thesis

c6d531b72ddeaf2320a4346912df5519138d11d7

[ "MIT" ]

null

class Agent(object): def __init__(self, id): self.id = id def act(self, state): raise NotImplementedError() def transition(self, state, actions, new_state, reward): pass

20.8

60

0.615385

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06185ae943196fc4fed7d0073ecd998208c713c1

242

py

Python

catalyst/dl/core/__init__.py

andrey-avdeev/catalyst

fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3

[ "Apache-2.0" ]

1

2019-12-15T18:29:15.000Z

catalyst/dl/core/__init__.py

andrey-avdeev/catalyst

fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3

[ "Apache-2.0" ]

null

catalyst/dl/core/__init__.py

andrey-avdeev/catalyst

fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3

[ "Apache-2.0" ]

1

2021-12-20T07:32:25.000Z

# flake8: noqa from .callback import ( Callback, CallbackOrder, LoggerCallback, MeterMetricsCallback, MetricCallback, MultiMetricCallback ) from .experiment import Experiment from .runner import Runner from .state import RunnerState

24.2

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5

881ff081df48ae08e74e97b6fa3d9edb3a08142b

268

py

Python

impacts_estimation/exceptions.py

openfoodfacts/off-product-environmental-impact

a78958fec1a21f057339184be27cf299d4fe12d1

[ "MIT" ]

3

2021-09-07T13:46:25.000Z

2022-01-12T14:38:29.000Z

impacts_estimation/exceptions.py

openfoodfacts/off-product-environmental-impact

a78958fec1a21f057339184be27cf299d4fe12d1

[ "MIT" ]

18

2021-09-13T16:19:26.000Z

2022-03-24T16:22:38.000Z

impacts_estimation/exceptions.py

openfoodfacts/off-product-environmental-impact

a78958fec1a21f057339184be27cf299d4fe12d1

[ "MIT" ]

null

""" Exceptions used by the impact estimation program """ class RecipeCreationError(Exception): pass class SolverTimeoutError(Exception): pass class NoKnownIngredientsError(Exception): pass class NoCharacterizedIngredientsError(Exception): pass

14.888889

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null

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5

882956852fd393395f22b544276d201ba5b82919

2,435

py

Python

reid/loss/virtual_ce.py

JeremyXSC/MCN-MT

df62689e5ab3ac3c40a9e793425036594c903cbc

[ "MIT" ]

51

2020-10-16T01:27:29.000Z

2022-01-20T03:10:45.000Z

reid/loss/virtual_ce.py

TencentYoutuResearch/PersonReID-ACT

264b1b43f9424c297638ebf6f8f8ace09512ed29

[ "MIT" ]

1

2021-03-09T08:46:23.000Z

2021-03-09T08:52:42.000Z

reid/loss/virtual_ce.py

TencentYoutuResearch/PersonReID-ACT

264b1b43f9424c297638ebf6f8f8ace09512ed29

[ "MIT" ]

2

2021-01-08T08:31:15.000Z

2021-02-04T02:06:49.000Z

from __future__ import absolute_import import torch from torch import nn from torch.autograd import Variable from torch.nn import functional as F from scipy.stats import norm import numpy as np class VirtualCE(nn.Module): def __init__(self, beta=0.1): super(VirtualCE, self).__init__() self.beta = beta def forward(self, inputs, targets): # norm first n = inputs.shape[0] inputs = F.normalize(inputs, p=2) allPids = targets.cpu().numpy().tolist() # All Centers centerHash = { pid: F.normalize(inputs[targets == pid, :].mean(dim=0, keepdim=True), p=2).detach() for pid in set(allPids) } allCenters = torch.autograd.Variable(torch.cat(list(centerHash.values()))).cuda() centerPID = torch.from_numpy(np.asarray(list(centerHash.keys()))) # sampler vs center samplerCenter = torch.autograd.Variable(torch.cat([allCenters[centerPID == pid, :] for pid in allPids])).cuda() # inputs--(128*1024), allCenters--(32*1024) vce = torch.diag(torch.exp(samplerCenter.mm(inputs.t()) / self.beta)) # 1*128 centerScore = torch.exp(allCenters.mm(inputs.t()) / self.beta).sum(dim=0) # 32(center number)*128->1*128 return -torch.log(vce.div(centerScore)).mean() class VirtualKCE(nn.Module): def __init__(self, beta=0.1): super(VirtualKCE, self).__init__() self.beta = beta def forward(self, inputs, targets): # norm first n = inputs.shape[0] inputs = F.normalize(inputs, p=2) allPids = targets.cpu().numpy().tolist() # All Centers centerHash = { pid: F.normalize(inputs[targets == pid, :].mean(dim=0, keepdim=True), p=2).detach() for pid in set(allPids) } allCenters = torch.autograd.Variable(torch.cat(list(centerHash.values()))).cuda() centerPID = torch.from_numpy(np.asarray(list(centerHash.keys()))) samplerCenter = torch.autograd.Variable(torch.cat([allCenters[centerPID == pid, :] for pid in allPids])).cuda() # inputs--(128*1024), allCenters--(32*1024) vce = torch.diag(torch.exp(samplerCenter.mm(inputs.t()) / self.beta)) # 1*128 centerScore = torch.exp(allCenters.mm(inputs.t()) / self.beta).sum(dim=0) # 32*128->1*128 kNegScore = torch.diag(inputs.mm(inputs.t())) return -torch.log(vce.div(kNegScore + centerScore)).mean()

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0

1

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null

0

5

882b2043c1fab1e715221de038c9c035a686a496

137

py

Python

tests/refs/some_pkg/__init__.py

amirkdv/sphinxcontrib-wiki

b9369eb0e3fc04ba2670cd2d95167a1e73fadf85

[ "MIT" ]

1

2016-11-09T00:03:29.000Z

tests/refs/some_pkg/__init__.py

amirkdv/sphinxcontrib-wiki

b9369eb0e3fc04ba2670cd2d95167a1e73fadf85

[ "MIT" ]

null

tests/refs/some_pkg/__init__.py

amirkdv/sphinxcontrib-wiki

b9369eb0e3fc04ba2670cd2d95167a1e73fadf85

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ First paragraph of docs. .. wikisection:: faq :title: Why? Well... Second paragraph of docs. """

10.538462

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0

5

882ff020b0aed594beed98af9ed8f3aaf6a63b20

165,758

py

Python

tests/test/mixed_vschema/vschema_basic.py

mace84/script-languages

d586cbe212bbb4efbfb39e095183729c65489360

[ "MIT" ]

6

2019-01-09T11:55:15.000Z

2021-06-25T19:52:42.000Z

tests/test/mixed_vschema/vschema_basic.py

mace84/script-languages

d586cbe212bbb4efbfb39e095183729c65489360

[ "MIT" ]

65

2018-12-12T08:40:38.000Z

2022-02-28T09:19:45.000Z

tests/test/mixed_vschema/vschema_basic.py

mace84/script-languages

d586cbe212bbb4efbfb39e095183729c65489360

[ "MIT" ]

9

2018-11-23T08:59:09.000Z

2020-02-04T12:56:35.000Z

#!/usr/opt/bs-python-2.7/bin/python # -*- coding: utf-8 -*- import unittest import datetime import re from datetime import datetime, timedelta from textwrap import dedent import sys import os sys.path.append(os.path.realpath(__file__ + '/../../../lib')) import udf import exatest from vschema_common import VSchemaTest, TestUtils # Assumptions # - JDBC Adapter correct for EXASolution remote database (except pushdown, which is not used here). # # # Virtual Schema # Corner Cases # - Huge adapaterNotes => Add test # - Many tables/columns (long json) => Test how much is possible #@unittest.skip("skipped test") class CreateVirtualSchemaTest(VSchemaTest): setupDone = False def setUp(self): # TODO Remove this workaround if self.__class__.setupDone: self.query(''' OPEN SCHEMA VS1 ''') return # Create a simple native schema with tables self.query('DROP SCHEMA IF EXISTS NATIVE CASCADE') self.query('CREATE SCHEMA NATIVE') self.query('CREATE TABLE T1(a int, b varchar(100), c double)') self.query('CREATE TABLE T2(a date, b timestamp, c boolean)') self.query('CREATE TABLE T3(c1 char, c2 decimal(18,5))') self.query('CREATE TABLE T4(c1 integer identity)') self.query('CREATE TABLE T5(c1 int identity)') self.query('CREATE TABLE T6(c1 smallint identity)') self.query('CREATE TABLE T7(c1 decimal(5,0) identity)') self.query('''CREATE TABLE T8(c1 boolean default TRUE, c2 char(10) default 'foo', c3 date default '2016-06-01', c4 decimal(5,0) default 0)''') self.query('''CREATE TABLE T9(c1 double default 1E2, c2 geometry default 'POINT(2 5)', c3 interval year to month default '3-5', c4 interval day to second default '2 12:50:10.123')''') self.query('''CREATE TABLE TA(c1 timestamp default '2016-06-01 00:00:01.000', c2 timestamp with local time zone default '2016-06-01 00:00:02.000', c3 varchar(100) default 'bar')''') self.query('''CREATE TABLE TB(c1 boolean default NULL, c2 char(10) default NULL, c3 date default NULL, c4 decimal(5,0) default NULL)''') self.query('''CREATE TABLE TC(c1 double default NULL, c2 geometry default NULL, c3 interval year to month default NULL, c4 interval day to second default NULL)''') self.query('''CREATE TABLE TD(c1 timestamp default NULL, c2 timestamp with local time zone default NULL, c3 varchar(100) default NULL)''') self.query('''CREATE TABLE TE(c1 integer comment is '', c2 integer comment is 'This is a comment.')''') self.query('''CREATE TABLE TF(c1 integer NOT NULL, c2 varchar(100) NOT NULL, c3 double NOT NULL)''') self.query('DROP SCHEMA IF EXISTS NATIVE2 CASCADE') self.query('CREATE SCHEMA NATIVE2') self.commit() # commit, otherwise adapter doesn't see tables self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS2", "NATIVE2", "ADAPTER.JDBC_ADAPTER", True) self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.__class__.setupDone = True def testCurrentSchema(self): rows = self.query(''' SELECT CURRENT_SCHEMA ''') self.assertRowsEqual([("VS1",)], rows) def testCAT(self): rows = self.query(''' SELECT * FROM CAT order by table_name ''') self.assertRowsEqual([("T1","TABLE"),("T2","TABLE"),("T3","TABLE"), ("T4","TABLE"),("T5","TABLE"),("T6","TABLE"),("T7","TABLE"), ("T8","TABLE"),("T9","TABLE"),("TA","TABLE"),("TB","TABLE"), ("TC","TABLE"),("TD","TABLE"),("TE","TABLE"),("TF","TABLE")], rows) def testDescribe(self): for tableName in ["T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8", "T9", "TA", "TB", "TC", "TD", "TE", "TF"]: rows = self.query(''' DESCRIBE {t} '''.format(t = tableName)) self.assertEqual(['COLUMN_NAME', 'SQL_TYPE', 'NULLABLE', 'DISTRIBUTION_KEY', 'PARTITION_KEY'], self.columnNames()) rows_native = self.query(''' DESCRIBE native.{t} '''.format(t = tableName)) self.assertEqual(self.getColumn(rows_native,0), self.getColumn(rows,0)) # GD201606: TODO: This is only a workaround for the GEOMETRY Column Type if (tableName == "T9" or tableName == "TC"): self.assertEqual(['DOUBLE', 'GEOMETRY(3857)', 'INTERVAL YEAR(2) TO MONTH','INTERVAL DAY(2) TO SECOND(3)'], self.getColumn(rows,1)) else: self.assertEqual(self.getColumn(rows_native,1), self.getColumn(rows,1)) # nullable and distributionkey column should be NULL self.assertColumnEqualConst(rows, 2, None) self.assertColumnEqualConst(rows, 3, None) def testSysTableSchemas(self): rows = self.query(''' SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(['SCHEMA_NAME', 'SCHEMA_OWNER', 'SCHEMA_OBJECT_ID', 'SCHEMA_IS_VIRTUAL', 'SCHEMA_COMMENT'], self.columnNames()) self.assertEqual(1, self.rowcount()) self.assertEqual("VS1", rows[0][0]) self.assertEqual("SYS", rows[0][1]) schemaObjectId = rows[0][2] self.assertTrue(schemaObjectId != None and schemaObjectId > 0) self.assertEqual(True, rows[0][3]) self.assertEqual(None, rows[0][4]) rows = self.query(''' SELECT * FROM EXA_VIRTUAL_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(['SCHEMA_NAME', 'SCHEMA_OWNER', 'SCHEMA_OBJECT_ID', 'ADAPTER_SCRIPT', 'LAST_REFRESH', 'LAST_REFRESH_BY', 'ADAPTER_NOTES'], self.columnNames()) self.assertEqual(1, self.rowcount()) self.assertEqual("VS1", rows[0][0]) self.assertEqual("SYS", rows[0][1]) self.assertEqual(schemaObjectId, rows[0][2]) self.assertEqual("ADAPTER.JDBC_ADAPTER", rows[0][3]) self.assertEqual("SYS", rows[0][5]) # Check last refreshed. Take server time schemaLastRefreshed = rows[0][4] currentTime = self.queryCurrentTimestamp() diff = currentTime - schemaLastRefreshed self.assertGreaterEqual(diff.total_seconds(), 0) self.assertLess(diff.total_seconds(), 10) def testSysTableTables(self): rows = self.query(''' SELECT * FROM EXA_DBA_TABLES WHERE TABLE_SCHEMA='VS1' ORDER BY TABLE_NAME ''') self.assertEqual(['TABLE_SCHEMA', 'TABLE_NAME', 'TABLE_OWNER', 'TABLE_OBJECT_ID', 'TABLE_IS_VIRTUAL', 'TABLE_HAS_DISTRIBUTION_KEY', 'TABLE_HAS_PARTITION_KEY', 'TABLE_ROW_COUNT', 'DELETE_PERCENTAGE', 'TABLE_COMMENT'], self.columnNames()) self.assertEqual(15, self.rowcount()) self.assertColumnEqualConst(rows, 0, 'VS1') self.assertEqual(["T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8", "T9", "TA", "TB", "TC", "TD", "TE", "TF"], self.getColumn(rows,1)) self.assertColumnEqualConst(rows, 2, 'SYS') for i in range(0,self.rowcount()): tableObjectId = rows[i][3] self.assertTrue(tableObjectId != None and tableObjectId > 0) self.assertColumnEqualConst(rows, 4, True) self.assertColumnEqualConst(rows, 5, None) self.assertColumnEqualConst(rows, 7, None) self.assertColumnEqualConst(rows, 8, None) rows = self.query(''' SELECT * FROM EXA_DBA_VIRTUAL_TABLES WHERE TABLE_SCHEMA = 'VS1' ORDER BY TABLE_NAME ''') self.assertEqual(['TABLE_SCHEMA', 'TABLE_NAME', 'TABLE_OBJECT_ID', 'LAST_REFRESH', 'LAST_REFRESH_BY', 'ADAPTER_NOTES'], self.columnNames()) self.assertEqual(15, self.rowcount()) self.assertColumnEqualConst(rows, 0, 'VS1') self.assertEqual(["T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8", "T9", "TA", "TB", "TC", "TD", "TE", "TF"], self.getColumn(rows,1)) for i in range(0,self.rowcount()): tableObjectId = rows[i][2] self.assertTrue(tableObjectId != None and tableObjectId > 0) # check last refreshed tableLastRefreshed = rows[i][3] diff = tableLastRefreshed - self.getLastSchemaRefresh('VS1') self.assertGreaterEqual(diff.total_seconds(), 0) self.assertLess(diff.total_seconds(), 10) self.assertColumnEqualConst(rows, 4, 'SYS') def testSysTableColumns(self): rows = self.query(''' SELECT * FROM EXA_DBA_COLUMNS WHERE COLUMN_SCHEMA = 'VS1' ORDER BY COLUMN_TABLE, COLUMN_ORDINAL_POSITION ''') expectedCols = ["COLUMN_SCHEMA", "COLUMN_TABLE", "COLUMN_OBJECT_TYPE", "COLUMN_NAME", "COLUMN_TYPE", "COLUMN_TYPE_ID", "COLUMN_MAXSIZE", "COLUMN_NUM_PREC", "COLUMN_NUM_SCALE", "COLUMN_ORDINAL_POSITION", "COLUMN_IS_VIRTUAL", "COLUMN_IS_NULLABLE", "COLUMN_IS_DISTRIBUTION_KEY", "COLUMN_PARTITION_KEY_ORDINAL_POSITION", "COLUMN_DEFAULT", "COLUMN_IDENTITY", "COLUMN_OWNER", "COLUMN_OBJECT_ID", "STATUS", "COLUMN_COMMENT"] self.assertEqual(expectedCols, self.columnNames()) self.assertEqual(39, self.rowcount()) rows_native = self.query(''' SELECT * FROM EXA_DBA_COLUMNS WHERE COLUMN_SCHEMA = 'VS1' ORDER BY COLUMN_TABLE, COLUMN_ORDINAL_POSITION ''') self.assertEqual(expectedCols, self.columnNames()) self.assertEqual(39, self.rowcount()) for i in range (1,10): self.assertEqual(self.getColumn(rows_native,i), self.getColumn(rows,i)) self.assertColumnEqualConst(rows, 10, True) for i in range (11,14): self.assertColumnEqualConst(rows, i, None) self.assertEqual(self.getColumn(rows_native,14), self.getColumn(rows,14)) self.assertEqual(self.getColumn(rows_native,15), self.getColumn(rows,15)) self.assertColumnEqualConst(rows, 16, 'SYS') for i in range(0,self.rowcount()): colObjectId = rows[i][17] self.assertTrue(colObjectId != None and colObjectId > 0) self.assertColumnEqualConst(rows, 18, None) self.assertEqual(self.getColumn(rows_native,19), self.getColumn(rows,19)) rows = self.query(''' SELECT * FROM EXA_DBA_VIRTUAL_COLUMNS WHERE COLUMN_SCHEMA = 'VS1' ORDER BY COLUMN_TABLE, COLUMN_NAME ''') self.assertEqual(["COLUMN_SCHEMA", "COLUMN_TABLE", "COLUMN_NAME", "COLUMN_OBJECT_ID", "ADAPTER_NOTES"], self.columnNames()) self.assertEqual(39, self.rowcount()) self.assertColumnEqualConst(rows, 0, 'VS1') rows_native = self.query(''' SELECT COLUMN_TABLE, COLUMN_NAME FROM EXA_DBA_COLUMNS WHERE COLUMN_SCHEMA='NATIVE' ORDER BY COLUMN_TABLE, COLUMN_NAME ''') self.assertEqual(self.getColumn(rows_native,0), self.getColumn(rows,1)) self.assertEqual(self.getColumn(rows_native,1), self.getColumn(rows,2)) for i in range(0,self.rowcount()): colObjectId = rows[i][3] self.assertTrue(colObjectId != None and colObjectId > 0) # self.assertEqual([None]*self.rowcount(), self.getColumn(rows,4)) def testSysTableSchemaProperties(self): rows = self.query(''' SELECT * FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME='VS1' ORDER BY PROPERTY_NAME ''') self.assertEqual(["SCHEMA_NAME", "SCHEMA_OBJECT_ID", "PROPERTY_NAME", "PROPERTY_VALUE"], self.columnNames()) self.assertEqual(7, self.rowcount()) self.assertColumnEqualConst(rows, 0, 'VS1') for i in range(0,self.rowcount()): colObjectId = rows[i][1] self.assertTrue(colObjectId != None and colObjectId > 0) self.assertEqual(["CONNECTION_STRING", "EXCEPTION_HANDLING","IS_LOCAL", "PASSWORD", "SCHEMA_NAME", "SQL_DIALECT", "USERNAME"], self.getColumn(rows,2)) self.assertEqual(["jdbc:exa:{hostport}".format(hostport = udf.opts.server), "NONE", "True", "exasol", "NATIVE", "EXASOL", "sys"], self.getColumn(rows,3)) def testSysTableObjects(self): rows = self.query(''' SELECT OBJECT_NAME, OBJECT_TYPE from EXA_DBA_OBJECTS WHERE OBJECT_IS_VIRTUAL = true AND ROOT_NAME = 'VS1' ORDER BY OBJECT_NAME ''') self.assertEqual(["T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8", "T9", "TA", "TB", "TC", "TD", "TE", "TF"], self.getColumn(rows,0)) self.assertColumnEqualConst(rows, 1, 'TABLE') def testCreateWithConnection(self): # Create a Virtual Schema, now using a connection (will drop the existing virtual schema w/o connection) self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True, useConnection=True) rows = self.query(''' SELECT OBJECT_NAME, OBJECT_TYPE from EXA_DBA_OBJECTS WHERE OBJECT_IS_VIRTUAL = true AND ROOT_NAME = 'VS1' ORDER BY OBJECT_NAME ''') self.assertEqual(["T1", "T2", "T3", "T4", "T5", "T6", "T7", "T8", "T9", "TA", "TB", "TC", "TD", "TE", "TF"], self.getColumn(rows,0)) self.assertColumnEqualConst(rows, 1, 'TABLE') def testNotNull(self): # Not null is currently not carried over to the virtual schema. rows = self.query(''' SELECT COLUMN_IS_NULLABLE FROM EXA_ALL_COLUMNS WHERE COLUMN_TABLE='TF' AND COLUMN_SCHEMA='NATIVE'; ''') self.assertEqual([False, False, False], self.getColumn(rows,0)) rows = self.query(''' SELECT COLUMN_IS_NULLABLE FROM EXA_ALL_COLUMNS WHERE COLUMN_TABLE='TF' AND COLUMN_SCHEMA='VS1'; ''') self.assertEqual([None, None, None], self.getColumn(rows,0)) def testEmptySchema(self): # Test JDBC adapter on empty schema with self.assertRaisesRegexp(Exception, '''object VS2.DUMMY not found'''): rows = self.query("SELECT * FROM VS2.DUMMY") def testQuotedSchemaNames(self): self.createFastAdapter(schemaName='''"quoted_adapter"''', adapterName='''"fast_adapter"''') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, '''Could not find adapter script'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING quoted_adapter.fast_adapter ''') with self.assertRaisesRegexp(Exception, '''Could not find adapter script'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING quoted_adapter."fast_adapter" ''') with self.assertRaisesRegexp(Exception, '''Could not find adapter script'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING "quoted_adapter".fast_adapter ''') self.createFastAdapter(schemaName='''quoted_adapter''', adapterName='''"fast_adapter"''') self.createFastAdapter(schemaName='''"quoted_adapter2"''', adapterName='''fast_adapter''') self.query('''CREATE VIRTUAL SCHEMA VS1 USING "quoted_adapter"."fast_adapter" ''') rows = self.query(''' SELECT * from VS1.DUMMY ''') self.assertRowsEqual([('FOO', 'BAR')],rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('''CREATE VIRTUAL SCHEMA VS1 USING "quoted_adapter2".fast_adapter ''') rows = self.query(''' SELECT * from VS1.DUMMY ''') self.assertRowsEqual([('FOO', 'BAR')],rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('''CREATE VIRTUAL SCHEMA VS1 USING quoted_adapter."fast_adapter" ''') rows = self.query(''' SELECT * from VS1.DUMMY ''') self.assertRowsEqual([('FOO', 'BAR')],rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') #self.query('''DROP SCHEMA IF EXISTS "quoted_adapter" CASCADE''') #self.query('''DROP SCHEMA IF EXISTS quoted_adapter CASCADE''') class CreateForceVirtualSchemaTest(VSchemaTest): def testCreateForceVirtualSchema(self): self.createFailingAdapter(schemaName="ADAPTER", adapterName="FAILING_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE FORCE VIRTUAL SCHEMA VS1 USING ADAPTER.FAILING_ADAPTER') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(1, self.rowcount()) rows = self.query(''' SELECT * from EXA_DBA_OBJECTS WHERE OBJECT_IS_VIRTUAL = true AND ROOT_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) class CreateVirtualSchemaWithProperties(VSchemaTest): def testWithNormalValue(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) def testPropertyValueEmptyString(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, '''Value of property UNUSED must not be null or empty.'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = '' ''') def testPropertyValueNull(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, '''Value of property UNUSED must not be null or empty.'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = null ''') def testDuplicate(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, '''Duplicate property names $UNUSED$ are not allowed.'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default1' UNUSED = 'default2' ''') def testDuplicateWithEmptyString(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, '''Value of property UNUSED must not be null or empty.'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default1' UNUSED = '' ''') def testDuplicateWithNull(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, '''Value of property UNUSED must not be null or empty.'''): self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default1' UNUSED = null ''') #@unittest.skip("skipped test") class UnicodeAndCaseSensitivityTest(VSchemaTest): def setUp(self): self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.query('DROP SCHEMA IF EXISTS NATIVE CASCADE') self.query('CREATE SCHEMA NATIVE') # 茶 is 3-byte and ¥ is 2 byte in utf-8. self.query(u''' CREATE OR REPLACE TABLE "¥tAbLe"("a茶A" double, "b¥B" varchar(3)) ''') self.query(u''' INSERT INTO "¥tAbLe" VALUES (1.1, 'v茶V'), (2.2, 'v¥V') ''') self.commit() self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) # TODO Make this IS_LOCAL = False as soon as the udf_wrapper.tcs file supports etlJdbcConfigDir self.commit() def test(self): # Create with IS_LOCAL true, because the EXASolution jdbc driver returns too big integer types which are converted rows = self.queryUnicode(u''' SELECT "a茶A", "b¥B" FROM VS1."¥tAbLe" ORDER BY 1 ''') # Bug: Column names are requested from pyodbc as UTF-16 or so (according to MT), but 茶 doesn't fit into two bytes. #self.assertEqual([u"a茶A", u"b¥B"], self.columnNames()) self.assertRowsEqual([(1.1, u'v茶V'), (2.2, u'v¥V')],rows) # Join system tables to make sure that everything is consistent rows = self.decodeUtf8Fields(self.queryColumnMetadata('VS1')) self.assertEqual([u"¥tAbLe", u"¥tAbLe"], self.getColumnByName(rows, 'TABLE_NAME')) self.assertEqual([u"a茶A", u"b¥B"], self.getColumnByName(rows, 'COLUMN_NAME')) # Test special characters in properties with self.assertRaisesRegexp(Exception, 'Quoted property names and special characters in the property name are not allowed'): self.query(u''' ALTER VIRTUAL SCHEMA VS1 SET "Foo茶¥Bar" = 'v茶V¥v' ''') with self.assertRaisesRegexp(Exception, '''character is not allowed within property names'''): self.query(u''' ALTER VIRTUAL SCHEMA VS1 SET A.B = 'v茶V¥v' ''') self.query(u''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'v茶V¥v' ''') propValue = self.queryScalarUnicode(u''' SELECT PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' AND PROPERTY_NAME = 'UNUSED' ''') self.assertEqual(u'v茶V¥v', propValue) class RefreshTest(VSchemaTest): def setUp(self): # Create a simple native schema with tables self.query('DROP SCHEMA IF EXISTS NATIVE CASCADE') self.query('CREATE SCHEMA NATIVE') self.query('CREATE TABLE T1(a int, b varchar(100))') self.query('CREATE TABLE T2(c date)') self.query('CREATE TABLE T3(d double)') self.commit() # commit, otherwise adapter doesn't see tables self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() def testRefreshAll(self): # Refresh all (new/changed/deleted tables). Metadata for all tables are rewritten. self.query('DROP TABLE NATIVE.T3') self.query('ALTER TABLE NATIVE.T2 ADD COLUMN d int') self.query('CREATE TABLE NATIVE.T4(a int)') self.commit() timeBefore = self.queryCurrentTimestamp() self.query(''' ALTER VIRTUAL SCHEMA VS1 REFRESH ''') self.commit() timeAfter = self.queryCurrentTimestamp() # Check last_refreshed self.assertBetween(self.getLastTableRefresh ('VS1', 'T1'), timeBefore, timeAfter) self.assertBetween(self.getLastTableRefresh ('VS1', 'T2'), timeBefore, timeAfter) # check metadata rows = self.queryColumnMetadata('VS1') self.assertRowsEqual([('T1', 'A', 'DECIMAL(18,0)'), ('T1', 'B', 'VARCHAR(100) UTF8'), ('T2', 'C', 'DATE'), ('T2', 'D', 'DECIMAL(18,0)'), ('T4', 'A', 'DECIMAL(18,0)')], rows) def testRefreshTables(self): # Remember date from T1 for later table1Before = self.getLastTableRefresh('VS1', 'T1') # Refresh specific Tables self.query('ALTER TABLE NATIVE.T1 ADD COLUMN e int') # this should be ignored during the refresh self.query('DROP TABLE NATIVE.T2') self.query('ALTER TABLE NATIVE.T3 ADD COLUMN f int') self.query('CREATE TABLE NATIVE.T4(e double)') # Now we have T1, T3, T4 self.commit() timeBefore = self.queryCurrentTimestamp() self.query(''' ALTER VIRTUAL SCHEMA VS1 REFRESH TABLES T2 T3 T4 ''') self.commit() timeAfter = self.queryCurrentTimestamp() # check last refresh self.assertBetween(self.getLastSchemaRefresh('VS1'), timeBefore, timeAfter) self.assertEqual (self.getLastTableRefresh ('VS1', 'T1'), table1Before) # t1 should be unchanged self.assertBetween(self.getLastTableRefresh ('VS1', 'T3'), timeBefore, timeAfter) self.assertBetween(self.getLastTableRefresh ('VS1', 'T4'), timeBefore, timeAfter) # check metadata rows = self.queryColumnMetadata('VS1') self.assertRowsEqual([('T1', 'A', 'DECIMAL(18,0)'), ('T1', 'B', 'VARCHAR(100) UTF8'), ('T3', 'D', 'DOUBLE'), ('T3', 'F', 'DECIMAL(18,0)'), ('T4', 'E', 'DOUBLE')], rows) class SetPropertiesTest(VSchemaTest): def testCreateProperty(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(u''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) def testChangeProperty(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'newValue' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'newValue')],rows) def testChangePropertyFromCreate(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'newValue' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'newValue')],rows) def testDeleteNonExistingPropertyWithEmptyString(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = '' ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeleteNonExistingPropertyWithNull(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = NULL ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeletePropertyWithEmptyString(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = '' ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeletePropertyWithNull(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = NULL ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeletePropertyFromCreateWithEmptyString(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = '' ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeletePropertyFromCreateWithNull(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('''CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = NULL ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeletePropertyTwice(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED', 'default')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = NULL ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = NULL ''') self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertEqual(0, self.rowcount()) def testDeleteOnlyOneProperty(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' UNUSED2 = 'default2' ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ORDER BY PROPERTY_NAME ''') self.assertRowsEqual([('UNUSED', 'default'), ('UNUSED2', 'default2')],rows) self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED2 = 'Not deleted' UNUSED = NULL ''') rows = self.query(''' SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1' ''') self.assertRowsEqual([('UNUSED2', 'Not deleted')],rows) def testDuplicatePropertyName(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') with self.assertRaisesRegexp(Exception, 'Duplicate property names \$UNUSED\$ are not allowed.'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' UNUSED = 'default2' ''') with self.assertRaisesRegexp(Exception, 'Duplicate property names \$UNUSED\$ are not allowed.'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = null UNUSED = 'default2' ''') with self.assertRaisesRegexp(Exception, 'Duplicate property names \$UNUSED\$ are not allowed.'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = 'default' UNUSED = null ''') with self.assertRaisesRegexp(Exception, 'Duplicate property names \$UNUSED\$ are not allowed.'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET UNUSED = null UNUSED = null ''') def testOldPropertiesInSchemaMetadataInfo(self): self.createTestPropertyAdapter(schemaName="ADAPTER", adapterName="TEST_PROPERTY_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.TEST_PROPERTY_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P1='1' P2='2' ''') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P1='1new' P2=null P3='3' ''') def testInvalidPropertiesInSchemaMetadataInfo(self): # Invalid properties => Add test with custom adapter for invalid properties displaying correct error message self.createTestPropertyAdapter(schemaName="ADAPTER", adapterName="TEST_PROPERTY_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.TEST_PROPERTY_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P2='2' ''') with self.assertRaisesRegexp(Exception, 'Expected different values for old properties'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P1='1' ''') with self.assertRaisesRegexp(Exception, 'Expected different values for old properties'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P1='42' P2='2' ''') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.TEST_PROPERTY_ADAPTER') self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P1='1' P2='2' ''') with self.assertRaisesRegexp(Exception, 'Expected different values for new properties'): self.query(''' ALTER VIRTUAL SCHEMA VS1 SET P1=null P2=null P3='4' ''') def createTestPropertyAdapter(self, schemaName="ADAPTER", adapterName="FAST_ADAPTER"): self.dropOldAdapter(schemaName, adapterName) self.query('CREATE SCHEMA {schema}'.format(schema=schemaName)) self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT {schema}.{adapter} AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = {{ "type": "createVirtualSchema", "schemaMetadata": {{ "tables": [ {{ "name": "DUMMY", "columns": [{{ "name": "KEY", "dataType": {{"type": "VARCHAR", "size": 2000000}} }}] }}] }} }} return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({{"type": "dropVirtualSchema"}}).encode('utf-8') elif root["type"] == "setProperties": expectedOldProperties = {{'P1': '1', 'P2': '2'}} expectedNewProperties = {{'P1': '1new', 'P2': None,'P3': '3'}} if (root["schemaMetadataInfo"].get("properties", None) != None and len(root["schemaMetadataInfo"]["properties"]) > 0): assert (len(root["schemaMetadataInfo"]["properties"]) == len(expectedOldProperties)), 'Expected different values for old properties. Expected: ' + str(expectedOldProperties) + ' Actual: ' + str(root["schemaMetadataInfo"]["properties"]) for propertyName, propertyValue in root["schemaMetadataInfo"]["properties"].iteritems(): assert (propertyName in expectedOldProperties), 'Expected different values for old properties. Expected: ' + str(expectedOldProperties) + ' actual: ' + str(root["schemaMetadataInfo"]["properties"]) assert (propertyValue == expectedOldProperties.get(propertyName, None)), 'Expected different values for old properties. Expected: ' + str(expectedOldProperties) + ' Actual: ' + str(root["schemaMetadataInfo"]["properties"]) assert (len(root["properties"]) == len(expectedNewProperties)), 'Expected different values for new properties. Expected: ' + str(expectedNewProperties) + ' Actual: ' + str(root["properties"]) for propertyName, propertyValue in root["properties"].iteritems(): assert (propertyName in expectedNewProperties), 'Expected different values for new properties. Expected: ' + str(expectedNewProperties) + ' Actual: ' + str(root["properties"]) assert (propertyValue == expectedNewProperties.get(propertyName, None)), 'Expected different values for new properties. Expected: ' + str(expectedNewProperties) + ' Actual: ' + str(root["properties"]) return json.dumps({{"type": "setProperties"}}).encode('utf-8') else: raise ValueError('Unsupported callback') / ''').format(schema = schemaName, adapter = adapterName)) class SetPropertiesRefreshTest(VSchemaTest): def setUp(self): # Create a simple native schema with tables self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() def testWithRefresh(self): self.query('DROP TABLE NATIVE.T_DATETIME') self.query('ALTER TABLE NATIVE.T ADD COLUMN d int') self.query('CREATE TABLE NATIVE.T_NEW(a int)') self.query('DROP SCHEMA IF EXISTS NATIVE_RENAMED CASCADE') self.query('RENAME SCHEMA NATIVE TO NATIVE_RENAMED') self.commit() timeBefore = self.queryCurrentTimestamp() self.query(''' ALTER VIRTUAL SCHEMA VS1 SET SCHEMA_NAME='{remoteSchema}' CONNECTION_STRING='jdbc:exa:{host_port};schema={remoteSchema}' '''.format(host_port = 'localhost:8888',remoteSchema='NATIVE_RENAMED')) self.commit() # without this commit, the refresh time does not get updated timeAfter = self.queryCurrentTimestamp() rows = self.queryColumnMetadata('VS1') self.assertRowsEqual( [('G', 'K', 'DECIMAL(18,0)'), ('G', 'V1', 'DECIMAL(18,0)'), ('G', 'V2', 'VARCHAR(100) UTF8'), ('NUMBERS1', 'A', 'DECIMAL(18,0)'), ('NUMBERS1', 'B', 'DECIMAL(18,0)'), ('NUMBERS1', 'C', 'DECIMAL(18,0)'), ('NUMBERS1', 'D', 'DECIMAL(18,0)'), ('NUMBERS2', 'E', 'DECIMAL(18,0)'), ('NUMBERS2', 'F', 'DECIMAL(18,0)'), ('NUMBERS2', 'G', 'DECIMAL(18,0)'), ('NUMBERS2', 'H', 'DECIMAL(18,0)'), ('T', 'A', 'DECIMAL(18,0)'), ('T', 'B', 'VARCHAR(100) UTF8'), ('T', 'C', 'DOUBLE'), ('T', 'D', 'DECIMAL(18,0)'), ('TEST', 'A', 'TIMESTAMP WITH LOCAL TIME ZONE'), ('T_CONNECT', 'PARENT', 'DECIMAL(18,0)'), ('T_CONNECT', 'VAL', 'DECIMAL(18,0)'), ('T_DATATYPES', 'A1', 'DECIMAL(18,0)'), ('T_DATATYPES', 'A10', 'GEOMETRY(3857)'), ('T_DATATYPES', 'A11', 'DECIMAL(10,5)'), ('T_DATATYPES', 'A12', 'DOUBLE'), ('T_DATATYPES', 'A13', 'DECIMAL(36,0)'), ('T_DATATYPES', 'A14', 'DECIMAL(18,0)'), ('T_DATATYPES', 'A15', 'DECIMAL(29,0)'), ('T_DATATYPES', 'A16', 'DECIMAL(18,0)'), ('T_DATATYPES', 'A17', 'DECIMAL(25,0)'), ('T_DATATYPES', 'A18', 'DECIMAL(27,9)'), ('T_DATATYPES', 'A19', 'DOUBLE'), ('T_DATATYPES', 'A2', 'DOUBLE'), ('T_DATATYPES', 'A20', 'DECIMAL(18,0)'), ('T_DATATYPES', 'A21', 'DOUBLE'), ('T_DATATYPES', 'A22', 'DECIMAL(1,0)'), ('T_DATATYPES', 'A23', 'DECIMAL(3,2)'), ('T_DATATYPES', 'A24', 'DECIMAL(18,0)'), ('T_DATATYPES', 'A25', 'DECIMAL(6,0)'), ('T_DATATYPES', 'A26', 'DECIMAL(6,3)'), ('T_DATATYPES', 'A27', 'DOUBLE'), ('T_DATATYPES', 'A28', 'DECIMAL(9,0)'), ('T_DATATYPES', 'A29', 'DECIMAL(9,0)'), ('T_DATATYPES', 'A3', 'DATE'), ('T_DATATYPES', 'A30', 'DECIMAL(3,0)'), ('T_DATATYPES', 'A31', 'DATE'), ('T_DATATYPES', 'A32', 'TIMESTAMP WITH LOCAL TIME ZONE'), ('T_DATATYPES', 'A4', 'TIMESTAMP'), ('T_DATATYPES', 'A5', 'VARCHAR(3000) UTF8'), ('T_DATATYPES', 'A6', 'CHAR(10) UTF8'), ('T_DATATYPES', 'A7', 'BOOLEAN'), ('T_DATATYPES', 'A8', 'INTERVAL DAY(2) TO SECOND(3)'), ('T_DATATYPES', 'A9', 'INTERVAL YEAR(2) TO MONTH'), ('T_GEOMETRY', 'A', 'GEOMETRY(3857)'), ('T_GEOMETRY', 'ID', 'DECIMAL(18,0)'), ('T_INTERVAL', 'A', 'INTERVAL YEAR(2) TO MONTH'), ('T_INTERVAL', 'B', 'INTERVAL DAY(2) TO SECOND(3)'), ('T_NEW', 'A', 'DECIMAL(18,0)'), ('T_NULLS', 'A', 'DECIMAL(18,0)'), ('T_NULLS', 'B', 'VARCHAR(100) UTF8')], rows) # Check refresh time self.assertBetween(self.getLastSchemaRefresh('VS1'), timeBefore, timeAfter) self.assertBetween(self.getLastTableRefresh ('VS1', 'T'), timeBefore, timeAfter) self.assertBetween(self.getLastTableRefresh ('VS1', 'G'), timeBefore, timeAfter) self.assertBetween(self.getLastTableRefresh ('VS1', 'T_NEW'), timeBefore, timeAfter) def testWithoutRefresh(self): schemaRefreshBefore = self.getLastSchemaRefresh('VS1') tRefreshBefore = self.getLastTableRefresh ('VS1', 'T') gRefreshBefore = self.getLastTableRefresh ('VS1', 'G') tNewRefreshBefore = self.getLastTableRefresh ('VS1', 'T_DATETIME') metaBefore = self.queryColumnMetadata('VS1') # Change the source schema self.query('DROP TABLE NATIVE.T_DATETIME') self.query('ALTER TABLE NATIVE.T ADD COLUMN d int') self.query('CREATE TABLE NATIVE.T_NEW(a int)') # Setting this property should not refresh tables timeBefore = self.queryCurrentTimestamp() self.query(''' ALTER VIRTUAL SCHEMA VS1 SET IS_LOCAL='false' '''.format(host_port = 'localhost:8888',remoteSchema='NATIVE_RENAMED')) self.commit() # without this commit, the refresh time does not get updated timeAfter = self.queryCurrentTimestamp() self.assertBetween(self.getLastSchemaRefresh('VS1'), timeBefore, timeAfter) self.assertEqual (self.getLastTableRefresh ('VS1', 'T'), tRefreshBefore) self.assertEqual (self.getLastTableRefresh ('VS1', 'G'), gRefreshBefore) self.assertEqual (self.getLastTableRefresh ('VS1', 'T_DATETIME'), tNewRefreshBefore) metaAfter = self.queryColumnMetadata('VS1') self.assertRowsEqual(metaBefore, metaAfter) class DropVSchemaTest(VSchemaTest): def setUp(self): self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") def testDropVSchema(self): self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.query('DROP VIRTUAL SCHEMA VS1 CASCADE') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(0, self.rowcount()) def testDropEmptyVSchema(self): self.query('DROP SCHEMA IF EXISTS NATIVE CASCADE') self.query('CREATE SCHEMA NATIVE') self.commit() self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.query('DROP VIRTUAL SCHEMA VS1') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(0, self.rowcount()) def testDropVSchemaInvalidAdapterScript(self): self.createNative() self.commit() self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.JDBC_ADAPTER AS / ''')) with self.assertRaisesRegexp(Exception, 'SyntaxError: invalid syntax \$JDBC_ADAPTER, line 1\$'): self.query('DROP VIRTUAL SCHEMA VS1 CASCADE') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(1, self.rowcount()) self.query('DROP FORCE VIRTUAL SCHEMA VS1 CASCADE') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(0, self.rowcount()) def testDropVSchemaInvalidJson(self): self.createNative() self.commit() self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.JDBC_ADAPTER AS import json def adapter_call(request): # missing brackets return """ "type": "dropVirtualSchema"} """ / ''')) with self.assertRaisesRegexp(Exception, 'Unknown exception while parsing the response: in Json::Value::find\$key, end, found\$: requires objectValue or nullValue'): self.query('DROP VIRTUAL SCHEMA VS1 CASCADE') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(1, self.rowcount()) self.query('DROP FORCE VIRTUAL SCHEMA VS1 CASCADE') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(0, self.rowcount()) def testDropVSchemaMissingCascade(self): self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() with self.assertRaisesRegexp(Exception, 'schema is not empty - use DROP VIRTUAL SCHEMA VS1 CASCADE to delete it'): self.query('DROP VIRTUAL SCHEMA VS1') def testDropSchemaMissingVirtual(self): self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() with self.assertRaisesRegexp(Exception, 'schema VS1 is a virtual schema. Please use DROP VIRTUAL SCHEMA instead'): self.query('DROP SCHEMA VS1 CASCADE') def testDropForceVirtualSchema(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER AS import json import string def adapter_call(request): raise ValueError('This should never be called') / ''')) self.query('DROP FORCE VIRTUAL SCHEMA VS1 CASCADE') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(0, self.rowcount()) class UnsupportedActions(VSchemaTest): setupDone = False def setUp(self): # TODO Remove this workaround if self.__class__.setupDone: self.query(''' OPEN SCHEMA VS1 ''') return # Create a simple native schema with tables self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.__class__.setupDone = True def testDDLCreateTable(self): with self.assertRaisesRegexp(Exception, 'Creating tables in virtual schemas is not allowed'): self.query('CREATE TABLE t_new (a int)') with self.assertRaisesRegexp(Exception, 'Creating tables in virtual schemas is not allowed'): self.query('CREATE TABLE t_new AS SELECT * FROM NATIVE.T') # SELECT INTO FROM is similar to CREATE TABLE AS with self.assertRaisesRegexp(Exception, 'Creating tables in virtual schemas is not allowed'): self.query('SELECT * INTO TABLE t_new FROM NATIVE.T;') with self.assertRaisesRegexp(Exception, 'Creating tables in virtual schemas is not allowed'): self.query('CREATE TABLE t_new LIKE NATIVE.T') def testDDLDropTable(self): with self.assertRaisesRegexp(Exception, 'Dropping virtual tables is not allowed'): self.query('DROP TABLE t') def testDDLAlterTableColumn(self): alterError = 'Altering virtual tables is not allowed' with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t ADD COLUMN new_col int') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t DROP COLUMN a') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t MODIFY COLUMN a double') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t RENAME COLUMN a TO x') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t ALTER COLUMN a SET DEFAULT 1') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t ALTER COLUMN a DROP DEFAULT') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t ALTER COLUMN a SET IDENTITY') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t ALTER COLUMN a DROP IDENTITY') def testDDLAlterTableDistribution(self): alterError = 'Altering virtual tables is not allowed' with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t DISTRIBUTE BY a') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t DROP DISTRIBUTION KEYS') def testDDLAlterTableConstraints(self): alterError = 'Altering virtual tables is not allowed' with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t ADD CONSTRAINT my_prim_key PRIMARY KEY (a)') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t MODIFY CONSTRAINT my_constraint DISABLE') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t MODIFY PRIMARY KEY DISABLE') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t DROP CONSTRAINT my_constraint') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t DROP PRIMARY KEY') with self.assertRaisesRegexp(Exception, alterError): self.query('ALTER TABLE t RENAME CONSTRAINT my_constraint TO my_constraint_new') def testDDLAlterTableForeignKey(self): with self.assertRaisesRegexp(Exception, 'references to virtual tables are not supported'): self.query('ALTER TABLE native.t ADD CONSTRAINT foreign key (a) REFERENCES vs1.t (a)') def testDDLCreateView(self): with self.assertRaisesRegexp(Exception, 'Creating views in virtual schemas is not allowed'): self.query('CREATE VIEW new_view AS SELECT * FROM native.t') with self.assertRaisesRegexp(Exception, 'Creating views in virtual schemas is not allowed'): self.query('CREATE FORCE VIEW new_view AS SELECT * FROM native.t') def testDDLDropView(self): with self.assertRaisesRegexp(Exception, 'view NON_EXISTING_VIEW does not exist'): self.query('DROP VIEW non_existing_view') def testDDLCreateFunction(self): with self.assertRaisesRegexp(Exception, 'Creating functions in virtual schemas is not allowed'): self.query(udf.fixindent(''' CREATE OR REPLACE FUNCTION my_fun (a DECIMAL) RETURN VARCHAR(10) IS res VARCHAR(10); BEGIN res := 'foo'; RETURN res; END my_fun; / ''')) def testDDLDropFunction(self): with self.assertRaisesRegexp(Exception, 'function NON_EXISTING_FUNC does not exist'): self.query('DROP FUNCTION non_existing_func') def testDDLCreateScriptingScript(self): with self.assertRaisesRegexp(Exception, 'Creating scripts in virtual schemas is not allowed'): self.query(udf.fixindent(''' CREATE SCRIPT SCRIPT_B AS output("foo"); / ''')) def testDDLCreateUdfScript(self): with self.assertRaisesRegexp(Exception, 'Creating scripts in virtual schemas is not allowed'): self.query(udf.fixindent(''' CREATE or replace PYTHON SET SCRIPT dummy(a int) EMITS (a int) AS def run(ctx): ctx.emit(1) / ''')) def testDDLDropScript(self): with self.assertRaisesRegexp(Exception, 'script NON_EXISTING_SCRIPT does not exist'): self.query('DROP SCRIPT non_existing_script') def testDDLRenameObject(self): with self.assertRaisesRegexp(Exception, 'Renaming virtual schema objects is not allowed'): self.query('RENAME TABLE t TO t_new') with self.assertRaisesRegexp(Exception, 'object NON_EXISTING_VIEW does not exist'): self.query('RENAME VIEW non_existing_view TO view_new') def testDDLComment(self): with self.assertRaisesRegexp(Exception, 'Creating comments for virtual tables is not allowed'): self.query("COMMENT ON TABLE t IS 'table comment' ") with self.assertRaisesRegexp(Exception, 'Creating comments for virtual tables is not allowed'): self.query("COMMENT ON TABLE t IS 'table comment' (a IS 'col comment')") with self.assertRaisesRegexp(Exception, 'Creating column comments for virtual tables is not allowed'): self.query("COMMENT ON COLUMN t.a IS 'col comment'") with self.assertRaisesRegexp(Exception, 'script NON_EXISTING_SCRIPT not found'): self.query("COMMENT ON SCRIPT non_existing_script IS 'comment'") def testDMLInsert(self): with self.assertRaisesRegexp(Exception, 'Inserting into virtual tables is not supported'): self.query("INSERT INTO t values (1,'a',1)") with self.assertRaisesRegexp(Exception, 'Inserting into virtual tables is not supported'): self.query('INSERT INTO t DEFAULT VALUES') with self.assertRaisesRegexp(Exception, 'Inserting into virtual tables is not supported'): self.query('INSERT INTO t SELECT * FROM native.t') def testDMLUpdate(self): with self.assertRaisesRegexp(Exception, 'Updating virtual tables is not supported'): self.query('UPDATE t set a = 1') with self.assertRaisesRegexp(Exception, 'Updating virtual tables is not supported'): self.query('UPDATE t SET a = 1 WHERE a = 2') with self.assertRaisesRegexp(Exception, 'Updating virtual tables is not supported'): self.query('UPDATE t AS t1 SET t1.a = t2.a FROM t AS t2 WHERE t1.a = t2.a;') def testDMLMerge(self): with self.assertRaisesRegexp(Exception, 'cannot merge into a virtual table'): self.query('MERGE INTO t t1 USING native.t t2 ON (t1.a = t2.a) WHEN MATCHED THEN UPDATE SET a = t2.a') with self.assertRaisesRegexp(Exception, 'cannot use virtual table T2 as source for merge'): self.query('MERGE INTO native.t t1 USING t t2 ON (t1.a = t2.a) WHEN MATCHED THEN UPDATE SET b = t2.b') def testDMLDelete(self): with self.assertRaisesRegexp(Exception, 'Deleting from virtual tables is not supported'): self.query('DELETE FROM t WHERE a = 1') with self.assertRaisesRegexp(Exception, 'Truncating virtual tables is not supported'): self.query('DELETE FROM t') def testDMLTruncate(self): with self.assertRaisesRegexp(Exception, 'Truncating virtual tables is not supported'): self.query('TRUNCATE TABLE t') def testDMLImport(self): with self.assertRaisesRegexp(Exception, 'Inserting into virtual tables is not supported'): self.query("IMPORT INTO t FROM jdbc at 'jdbc:exa:invalid-host:5555' user 'sys' identified by 'exasol' statement 'SELECT * FROM NATIVE.T'") with self.assertRaisesRegexp(Exception, 'virtual tables cannot be used as error table'): self.query("IMPORT INTO native.t FROM jdbc at 'jdbc:exa:invalid-host:5555' user 'sys' identified by 'exasol' statement 'SELECT * FROM NATIVE.T' ERRORS INTO t") self.query('CREATE OR REPLACE TABLE native.t_copy LIKE native.t') with self.assertRaisesRegexp(Exception, re.escape('''Execution of SQL Statement (for reading data) failed on external EXASolution. [IMPORT directly from a virtual table is not supported. Use STATEMENT option instead with SELECT * FROM "VS1"."T" ''')): self.query("IMPORT INTO native.t_copy FROM exa at '{host_port}' user 'sys' identified by 'exasol' table VS1.T".format(host_port = 'localhost:8888')) def testDMLExport(self): self.query('CREATE OR REPLACE TABLE native.t_copy LIKE native.t') with self.assertRaisesRegexp(Exception, re.escape('''EXPORT directly from a virtual table is not supported. Use EXPORT (SELECT * FROM VS1.T) instead.''')): self.query("EXPORT VS1.T INTO JDBC at 'jdbc:exa:{host_port}' user 'sys' identified by 'exasol' TABLE native.t_copy".format(host_port = 'localhost:8888')) def testEnforceIndex(self): with self.assertRaisesRegexp(Exception, 'Enforcing indexes on virtual tables is not allowed'): self.query('ENFORCE INDEX ON t(a)') def testReorganize(self): with self.assertRaisesRegexp(Exception, 'Reorganizing a virtual table is not allowed'): self.query('REORGANIZE TABLE t') with self.assertRaisesRegexp(Exception, 'Reorganizing virtual schemas is not allowed'): self.query('REORGANIZE SCHEMA vs1') # Following query may not throw an exception self.query('REORGANIZE DATABASE') def testRecompress(self): with self.assertRaisesRegexp(Exception, 'Recompressing virtual tables is not allowed'): self.query('RECOMPRESS TABLE t') with self.assertRaisesRegexp(Exception, 'Recompressing virtual schemas is not allowed'): self.query('RECOMPRESS SCHEMA vs1') # Following query may not throw an exception self.query('RECOMPRESS DATABASE') def testPreload(self): with self.assertRaisesRegexp(Exception, 'Preloading a virtual table is not supported'): self.query('PRELOAD TABLE t') with self.assertRaisesRegexp(Exception, 'Preloading of virtual schemas is not supported'): self.query('PRELOAD SCHEMA vs1') # Following query may not throw an exception self.query('PRELOAD DATABASE') def testAnalyze(self): with self.assertRaisesRegexp(Exception, 'Analyzing statistics of virtual tables is not allowed'): self.query('ANALYZE TABLE t ESTIMATE STATISTICS') with self.assertRaisesRegexp(Exception, 'Analyzing statistics of virtual tables is not allowed'): self.query('ANALYZE TABLE t EXACT STATISTICS') with self.assertRaisesRegexp(Exception, 'Analyzing statistics of virtual schemas is not allowed'): self.query('ANALYZE SCHEMA vs1 ESTIMATE STATISTICS') # Following query may not throw an exception self.query('ANALYZE DATABASE ESTIMATE STATISTICS') class AdapterScriptTest(VSchemaTest): def testDropAdapterWithExistingVSchema(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') with self.assertRaisesRegexp(Exception, 'At least one virtual schema existing for this Adapter Script, please drop all Virtual Schemas of this Adapter first'): self.query('DROP ADAPTER SCRIPT ADAPTER.FAST_ADAPTER') rows = self.query("SELECT * FROM EXA_SCHEMAS WHERE SCHEMA_NAME = 'VS1' ") self.assertEqual(1, self.rowcount()) def testDropSchemaWithAdapterScriptsAndVSchemasNotAllowed(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') with self.assertRaisesRegexp(Exception, 'The schema contains the Adapter Script FAST_ADAPTER for which at least one Virtual Schema exists $VS1$. Please drop all Virtual Schemas of this Adapter first.'): self.query('DROP SCHEMA ADAPTER CASCADE') def testDropSchemaWithAdapterScriptsButNoVSchemasAllowed(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP SCHEMA ADAPTER CASCADE') def testCreateVSchemaWithNonAdapterScriptFails(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON SET SCRIPT ADAPTER.ADAPTER_UDF (a int) EMITS (a varchar(100)) AS / ''')) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') with self.assertRaisesRegexp(Exception, 'Script ADAPTER.ADAPTER_UDF exists, but is not an Adapter Script as expected'): self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.ADAPTER_UDF') def testDropAdapterScriptFailsForNonAdapterScripts(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON SET SCRIPT ADAPTER.ADAPTER_UDF (a int) EMITS (a varchar(100)) AS / ''')) with self.assertRaisesRegexp(Exception, 'script ADAPTER_UDF is not an adapter script. Please use DROP SCRIPT instead.'): self.query('DROP ADAPTER SCRIPT ADAPTER.ADAPTER_UDF') def testDropScriptFailsForAdapterScripts(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") with self.assertRaisesRegexp(Exception, 'script FAST_ADAPTER is an adapter script. Please use DROP ADAPTER SCRIPT instead.'): self.query('DROP SCRIPT ADAPTER.FAST_ADAPTER') def testOverwriteAdapterScriptByNonAdapterScriptFails(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") with self.assertRaisesRegexp(Exception, ''): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON SET SCRIPT ADAPTER.FAST_ADAPTER (a int) EMITS (a varchar(100)) AS / ''')) def testOverwriteNonAdapterScriptByAdapterScriptFails(self): self.query('DROP SCHEMA IF EXISTS ADAPTER_TMP CASCADE') self.query('CREATE SCHEMA ADAPTER_TMP') self.query(udf.fixindent(''' CREATE PYTHON SET SCRIPT ADAPTER_TMP.MY_UDF (a int) EMITS (a varchar(100)) AS / ''')) with self.assertRaisesRegexp(Exception, 'object MY_UDF already exists and is not an adapter script'): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER_TMP.MY_UDF AS / ''')) def testOverwriteAdapterScriptByAnotherAdapter(self): self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.query('DROP SCHEMA IF EXISTS VS1 CASCADE') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') rows = self.query("SELECT * FROM VS1.DUMMY") self.assertRowsEqual([('FOO', 'BAR')], rows) self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT adapter.fast_adapter AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = { "type": "createVirtualSchema", "schemaMetadata": { "tables": [ { "name": "DUMMY", "columns": [{ "name": "A", "dataType": {"type": "VARCHAR", "size": 2000000} },{ "name": "B", "dataType": {"type": "VARCHAR", "size": 2000000} }] }] } } return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({"type": "dropVirtualSchema"}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({"type": "setProperties"}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({"type": "refresh"}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({ "type": "getCapabilities", "capabilities": [] }).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = { "type": "pushdown", "sql": "SELECT * FROM (VALUES ('X', 'Y')) t" } return json.dumps(res).encode('utf-8') else: raise ValueError('Unsupported callback') / ''')) rows = self.query("SELECT * FROM VS1.DUMMY") self.assertRowsEqual([('X', 'Y')], rows) # Tests only the supported parts of IMPORT/EXPORT class ImportExportTest(VSchemaTest): setupDone = False def setUp(self): # TODO Remove this workaround if self.__class__.setupDone: self.query(''' OPEN SCHEMA VS1 ''') return # Create a simple native schema with tables self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.__class__.setupDone = True def testExaImportFromQueryWithVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.query("IMPORT INTO native.g_copy FROM exa at '{host_port}' user 'sys' identified by 'exasol' statement 'SELECT * FROM vs1.g'".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) def testExaImportFromViewWithVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.query("CREATE OR REPLACE VIEW native.g_view AS SELECT * FROM vs1.g") self.commit() self.query("IMPORT INTO native.g_copy FROM exa at '{host_port}' user 'sys' identified by 'exasol' statement 'SELECT * FROM native.g_view'".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) def testJdbcImportFromVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.query("IMPORT INTO native.g_copy FROM jdbc at 'jdbc:exa:{host_port}' user 'sys' identified by 'exasol' TABLE vs1.g".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) def testJdbcImportFromQueryWithVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.query("IMPORT INTO native.g_copy FROM jdbc at 'jdbc:exa:{host_port}' user 'sys' identified by 'exasol' STATEMENT 'SELECT * FROM vs1.g'".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) def testJdbcImportFromViewWithVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.query("CREATE OR REPLACE VIEW native.g_view AS SELECT * FROM vs1.g") self.commit() self.query("IMPORT INTO native.g_copy FROM jdbc at 'jdbc:exa:{host_port}' user 'sys' identified by 'exasol' STATEMENT 'SELECT * FROM native.g_view'".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) def testExportFromQueryWithVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.commit() self.query("EXPORT (SELECT * FROM vs1.g) INTO JDBC at 'jdbc:exa:{host_port}' user 'sys' identified by 'exasol' TABLE native.g_copy".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) def testExportFromViewWithVTable(self): self.query('CREATE OR REPLACE TABLE native.g_copy LIKE native.g') self.query("CREATE OR REPLACE VIEW native.g_view AS SELECT * FROM vs1.g") self.commit() self.query("EXPORT native.g_view INTO JDBC at 'jdbc:exa:{host_port}' USER 'sys' IDENTIFIED BY 'exasol' TABLE native.g_copy".format(host_port = 'localhost:8888')) self.assertRowsEqualIgnoreOrder( self.query("SELECT * FROM native.g"), self.query("SELECT * FROM native.g_copy")) class MergeAndInsertTest(VSchemaTest): def setUp(self): self.createNative() self.commit() # commit, otherwise adapter doesn't see tables self.createJdbcAdapter(schemaName="ADAPTER", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() def testMergeFromQueryWithVTable(self): self.query('CREATE OR REPLACE TABLE native.t_copy AS SELECT a+1 a, b, c FROM native.t') self.query('MERGE INTO native.t_copy t1 USING (SELECT * FROM t) t2 ON (t1.b = t2.b) WHEN MATCHED THEN UPDATE SET a = t2.a') self.assertRowsEqualIgnoreOrder( self.query('SELECT * FROM native.t'), self.query('SELECT * FROM native.t_copy')) def testMergeFromViewOnVTable(self): self.query('CREATE OR REPLACE TABLE native.t_copy AS SELECT a+1 a, b, c FROM native.t') self.query('CREATE VIEW native.t_view AS SELECT * FROM t') self.commit() self.query('MERGE INTO native.t_copy t1 USING native.t_view t2 ON (t1.b = t2.b) WHEN MATCHED THEN UPDATE SET a = t2.a') self.assertRowsEqualIgnoreOrder( self.query('SELECT * FROM native.t'), self.query('SELECT * FROM native.t_copy')) def testInsertIntoFromQueryWithVTable(self): self.query('CREATE OR REPLACE TABLE native.t_copy LIKE native.t') self.query('INSERT INTO native.t_copy SELECT * FROM vs1.t') self.assertRowsEqualIgnoreOrder( self.query('SELECT * FROM native.t'), self.query('SELECT * FROM native.t_copy')) def testCreateTableAsWithVTable(self): self.query('CREATE OR REPLACE TABLE native.t_copy AS SELECT * FROM vs1.t') self.assertRowsEqualIgnoreOrder( self.query('SELECT * FROM native.t'), self.query('SELECT * FROM native.t_copy')) class AccessControl(VSchemaTest): def setUp(self): # make sure that there are no Virtual Schemas virtualSchemas = self.query('SELECT SCHEMA_NAME FROM EXA_VIRTUAL_SCHEMAS') for schema in virtualSchemas: self.query('DROP VIRTUAL SCHEMA IF EXISTS {schema} CASCADE'.format(schema=schema[0])) # make sure there are no things assigned to PUBLIC role self.assertEquals(0, self.queryScalar("SELECT COUNT(*) FROM EXA_DBA_SYS_PRIVS WHERE GRANTEE='PUBLIC'")) self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.commit() def getConnection(self, username, password): client = exatest.ODBCClient('exatest') self.log.debug('connecting to DSN "exa" for user {username}'.format(username=username)) client.connect(uid = username, pwd = password) return client def createUser(self, username, password): self.query('DROP USER IF EXISTS {username} CASCADE'.format(username = username)) self.query('CREATE USER {username} IDENTIFIED BY "{password}"'.format(username = username, password = password)) self.query('GRANT CREATE SESSION TO {username}'.format(username=username)) # Test Sys Privileges def testSysPrivsExists(self): sysPrivs = self.queryScalar(""" SELECT COUNT(*) FROM EXA_DBA_SYS_PRIVS WHERE GRANTEE='DBA' AND ADMIN_OPTION=TRUE AND PRIVILEGE IN ('CREATE VIRTUAL SCHEMA', 'ALTER ANY VIRTUAL SCHEMA', 'ALTER ANY VIRTUAL SCHEMA REFRESH', 'DROP ANY VIRTUAL SCHEMA') """) self.assertEqual(4, sysPrivs) # Create Adapter Script def testCreateAdapterNoPrivs(self): self.createUser("user2", "user2") self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for creating an adapter script'): conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER_2 AS def adapter_call(request): pass / ''')) def testCreateAdapterOwnerNoPrivs(self): self.createUser("user2", "user2") self.query('GRANT CREATE SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') # Even if you are owner you need explicit privs for creating scripts conn.query('CREATE SCHEMA ADAPTER_2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for creating an adapter script'): conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER_2.FAST_ADAPTER_2 AS def adapter_call(request): pass / ''')) def testCreateAdapterWithSysPrivCreateAnyScript(self): self.createUser("user2", "user2") self.query('GRANT CREATE ANY SCRIPT TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER_2 AS def adapter_call(request): pass / ''')) self.assertRowsEqual([(1,)], conn.query("SELECT COUNT(*) FROM EXA_ALL_SCRIPTS WHERE SCRIPT_SCHEMA='ADAPTER' AND SCRIPT_NAME='FAST_ADAPTER_2'")) def testCreateAdapterWithSysPrivCreateScript(self): self.createUser("user2", "user2") self.query('GRANT CREATE SCRIPT TO user2') self.query('GRANT CREATE SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') # Creating Adapter Scripts in non-owned schemas is not allowed with self.assertRaisesRegexp(Exception, 'insufficient privileges for creating an adapter script'): conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER_2 AS def adapter_call(request): pass / ''')) self.assertRowsEqual([(0,)], conn.query("SELECT COUNT(*) FROM EXA_ALL_SCRIPTS WHERE SCRIPT_SCHEMA='ADAPTER' AND SCRIPT_NAME='FAST_ADAPTER_2'")) # Creating Adapter Scripts in your own schemas is allowed conn.query('CREATE SCHEMA ADAPTER_2') conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER_2.FAST_ADAPTER_2 AS def adapter_call(request): pass / ''')) self.assertRowsEqual([(1,)], conn.query("SELECT COUNT(*) FROM EXA_ALL_SCRIPTS WHERE SCRIPT_SCHEMA='ADAPTER_2' AND SCRIPT_NAME='FAST_ADAPTER_2'")) # Create Or Replace Adapter Script def testCreateOrReplaceAdapter(self): self.createUser("user2", "user2") self.query('GRANT CREATE ANY SCRIPT TO user2') self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER_REPLACE AS def adapter_call(request): pass / ''')) self.commit() oldAdapterObjectId = self.queryScalar("SELECT SCRIPT_OBJECT_ID FROM EXA_ALL_SCRIPTS WHERE SCRIPT_SCHEMA='ADAPTER' AND SCRIPT_NAME='FAST_ADAPTER_REPLACE'") # We need sys priv DROP ANY SCRIPT for the old Adapter Script if we want to replace it conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for replacing script'): conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER_REPLACE AS def adapter_call(request): pass / ''')) self.assertRowsEqual([(oldAdapterObjectId,)], conn.query("SELECT SCRIPT_OBJECT_ID FROM EXA_ALL_SCRIPTS WHERE SCRIPT_SCHEMA='ADAPTER' AND SCRIPT_NAME='FAST_ADAPTER_REPLACE'")) # todo replace by conn.queryScalar if available # now again with DROP privileges self.query('GRANT DROP ANY SCRIPT TO user2') self.commit() conn.commit() # Commit, to get new privileges conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER.FAST_ADAPTER_REPLACE AS def adapter_call(request): pass / ''')) newObjectId = conn.query("SELECT SCRIPT_OBJECT_ID FROM EXA_ALL_SCRIPTS WHERE SCRIPT_SCHEMA='ADAPTER' AND SCRIPT_NAME='FAST_ADAPTER_REPLACE'") # todo replace by conn.queryScalar if available self.assertEqual(1, len(newObjectId)) self.assertEqual(1, len(newObjectId[0])) self.assertNotEqual(oldAdapterObjectId, newObjectId[0][0]) # Drop Adapter Script def testDropAdapterNoPrivs(self): self.createUser("user2", "user2") self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for dropping script'): conn.query('DROP ADAPTER SCRIPT ADAPTER.FAST_ADAPTER') def testDropAdapterWithSysPriv(self): self.createUser("user2", "user2") self.query('GRANT DROP ANY SCRIPT TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('DROP ADAPTER SCRIPT ADAPTER.FAST_ADAPTER') def testDropAdapterAsSchemaOwner(self): self.createUser("user2", "user2") self.query('GRANT CREATE SCHEMA TO user2') self.query('GRANT CREATE ANY SCRIPT TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE SCHEMA ADAPTER_2') conn.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT ADAPTER_2.FAST_ADAPTER_DROP AS def adapter_call(request): pass / ''')) conn.query('DROP ADAPTER SCRIPT ADAPTER_2.FAST_ADAPTER_DROP') # Create Virtual Schema def testCreateVSchemaNoPrivs(self): self.createUser("user2", "user2") self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for creating virtual schema'): conn.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') def testCreateVSchemaNoScriptPrivs(self): self.createUser("user2", "user2") self.query('GRANT DROP ANY VIRTUAL SCHEMA TO user2') self.query('GRANT CREATE VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for calling adapter script'): conn.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') def testCreateVSchema(self): self.createUser("user2", "user2") self.query('GRANT DROP ANY VIRTUAL SCHEMA TO user2') self.query('GRANT CREATE VIRTUAL SCHEMA TO user2') self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') # Drop Virtual Schema def testDropVSchemaNoDropPrivs(self): self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.createUser("user2", "user2") self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for dropping virtual schema'): conn.query('DROP VIRTUAL SCHEMA VS1 CASCADE') def testDropVSchemaAsOwner(self): # user has no privileges to drop, but is owner self.createUser("user2", "user2") self.query('GRANT CREATE VIRTUAL SCHEMA TO user2') self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') conn.query('DROP VIRTUAL SCHEMA VS1 CASCADE') def testDropVSchemaWithPrivs(self): # user is not owner, but has privileges to drop self.createUser("user2", "user2") self.query('GRANT CREATE VIRTUAL SCHEMA TO user2') self.query('GRANT DROP ANY VIRTUAL SCHEMA TO user2') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') conn.query('DROP VIRTUAL SCHEMA VS1 CASCADE') # Alter Virtual Schema Refresh def testAlterVSchemaRefreshNoPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for altering virtual schema'): conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') def testAlterVSchemaRefreshNoScriptPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT ALTER ANY VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') #with self.assertRaisesRegexp(Exception, 'insufficient privileges for calling adapter script'): conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') def testAlterVSchemaRefreshWithAlterSysPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT ALTER ANY VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') def testAlterVSchemaRefreshWithRefreshSysPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT ALTER ANY VIRTUAL SCHEMA REFRESH TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') def testAlterVSchemaRefreshWithAlterObjPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT ALTER ON VS1 TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') def testAlterVSchemaRefreshWithRefreshObjPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT REFRESH ON VS1 TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') def testAlterVSchemaRefreshAsOwner(self): self.createUser("user2", "user2") self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT CREATE VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') conn.query('ALTER VIRTUAL SCHEMA VS1 REFRESH') # Alter Virtual Schema Set def testAlterVSchemaSetNoPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for altering virtual schema'): conn.query("ALTER VIRTUAL SCHEMA VS1 SET FOO='BAR'") self.assertEqual(0, self.queryScalar("SELECT COUNT(*) FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1'")) def testAlterVSchemaSetNoScriptPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT ALTER ANY VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query("ALTER VIRTUAL SCHEMA VS1 SET FOO='BAR'") self.assertRowsEqual( [("FOO","BAR")], conn.query("SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1'")) # with self.assertRaisesRegexp(Exception, 'insufficient privileges for calling adapter script'): # conn.query("ALTER VIRTUAL SCHEMA VS1 SET FOO='BAR'") # self.assertEqual(0, self.queryScalar("SELECT COUNT(*) FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1'")) def testAlterVSchemaSetWithAlterSysPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT ALTER ANY VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query("ALTER VIRTUAL SCHEMA VS1 SET FOO='BAR'") self.assertRowsEqual( [("FOO","BAR")], conn.query("SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1'")) def testAlterVSchemaSetWithAlterObjPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT ALTER ON VS1 TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query("ALTER VIRTUAL SCHEMA VS1 SET FOO='BAR'") self.assertRowsEqual( [("FOO","BAR")], conn.query("SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1'")) def testAlterVSchemaSetAsOwner(self): self.createUser("user2", "user2") self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT CREATE VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') conn.query("ALTER VIRTUAL SCHEMA VS1 SET FOO='BAR'") self.assertRowsEqual( [("FOO","BAR")], conn.query("SELECT PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES WHERE SCHEMA_NAME = 'VS1'")) # Alter Virtual Schema Change Owner def testAlterVSchemaChangeOwnerNoPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for altering virtual schema'): conn.query("ALTER VIRTUAL SCHEMA VS1 CHANGE OWNER sys") self.assertEqual("SYS", self.queryScalar("SELECT SCHEMA_OWNER FROM EXA_VIRTUAL_SCHEMAS WHERE SCHEMA_NAME = 'VS1'")) ## added, so that the schema can be dropped -- SPOT-4245 self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') def testAlterVSchemaChangeOwnerWithSysPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT ALTER ANY VIRTUAL SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query("ALTER VIRTUAL SCHEMA VS1 CHANGE OWNER USER2") self.assertRowsEqual([("USER2",)], conn.query("SELECT SCHEMA_OWNER FROM EXA_VIRTUAL_SCHEMAS WHERE SCHEMA_NAME = 'VS1'")) ## added, so that the schema can be dropped -- SPOT-4245 self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') def testAlterVSchemaChangeOwnerObjPrivNotSufficient(self): # Object privilege ALTER must not be sufficient to change the owner self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT ALTER ON VS1 TO user2') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for altering virtual schema'): conn.query("ALTER VIRTUAL SCHEMA VS1 CHANGE OWNER sys") self.assertEqual("SYS", self.queryScalar("SELECT SCHEMA_OWNER FROM EXA_VIRTUAL_SCHEMAS WHERE SCHEMA_NAME = 'VS1'")) # Open Virtual Schema def testOpenVSchema(self): # Must be possible without granted privileges self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') conn.query("OPEN SCHEMA VS1") self.assertEqual("VS1", self.queryScalar("SELECT CURRENT_SCHEMA")) # Select Virtual Table def testSelectVTableNoPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges: SELECT on table DUMMY'): conn.query("SELECT * FROM VS1.DUMMY") def testSelectVTableNoScriptPrivsWorks(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT SELECT ON VS1 TO USER2') self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual([('FOO', 'BAR')], conn.query("SELECT * FROM VS1.DUMMY")) #with self.assertRaisesRegexp(Exception, 'insufficient privileges for calling adapter script'): # conn.query("SELECT * FROM VS1.DUMMY") def testSelectVTableWithSysPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT SELECT ANY TABLE TO USER2') self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual([('FOO', 'BAR')], conn.query("SELECT * FROM VS1.DUMMY")) def testSelectVTableWithObjPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT SELECT ON VS1 TO USER2') self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual([('FOO', 'BAR')], conn.query("SELECT * FROM VS1.DUMMY")) def testSelectVTableAsOwner(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.assertRowsEqual([('FOO', 'BAR')], self.query("SELECT * FROM VS1.DUMMY")) # Describe Virtual Table def testDescribeVTableNoPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges for describing object'): conn.query("DESCRIBE VS1.DUMMY") def testDescribeVTableWithSysPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT SELECT ANY TABLE TO USER2') self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('KEY', 'VARCHAR(2000000) UTF8', None, None, None),('VALUE', 'VARCHAR(2000000) UTF8', None, None, None)], conn.query("DESCRIBE VS1.DUMMY")) def testDescribeVTableWithObjPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT SELECT ON VS1 TO USER2') self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('KEY', 'VARCHAR(2000000) UTF8', None, None, None),('VALUE', 'VARCHAR(2000000) UTF8', None, None, None)], conn.query("DESCRIBE VS1.DUMMY")) def testDescribeVTableTableObjPrivsNotSupported(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') with self.assertRaisesRegexp(Exception, 'object privileges for virtual tables are not supported'): self.query('GRANT SELECT ON VS1.DUMMY TO USER2') def testDescribeVTableAsOwner(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.assertRowsEqual( [('KEY', 'VARCHAR(2000000) UTF8', None, None, None),('VALUE', 'VARCHAR(2000000) UTF8', None, None, None)], self.query("DESCRIBE VS1.DUMMY")) # Create Views with Virtual Tables def testCreateViewWithVTableNoSelectPrivs(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT CREATE VIEW TO user2') self.query('GRANT CREATE SCHEMA TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE SCHEMA VIEWS') with self.assertRaisesRegexp(Exception, 'insufficient privileges: SELECT on table DUMMY'): conn.query('CREATE VIEW VIEWS.VTABLE_VIEW AS SELECT * FROM VS1.DUMMY') def testCreateViewWithVTableWithSelectPriv(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT CREATE VIEW TO user2') self.query('GRANT CREATE SCHEMA TO user2') self.query('GRANT SELECT ON VS1 TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE SCHEMA VIEWS') conn.query('CREATE VIEW VIEWS.VTABLE_VIEW AS SELECT * FROM VS1.DUMMY') self.assertRowsEqual( self.query('SELECT * FROM VS1.DUMMY'), conn.query('SELECT * FROM VIEWS.VTABLE_VIEW')) # Query Views with Virtual Tables def testQueryViewWithVTable(self): self.createUser("user2", "user2") self.query('CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') #self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') self.query('GRANT CREATE VIEW TO user2') self.query('GRANT CREATE SCHEMA TO user2') self.query('GRANT SELECT ON VS1 TO user2') self.commit() conn = self.getConnection('user2', 'user2') conn.query('CREATE SCHEMA VIEWS') conn.query('CREATE VIEW VIEWS.VTABLE_VIEW AS SELECT * FROM VS1.DUMMY') conn.commit() # The owner of the view (user2) has privileges, so works self.assertRowsEqual( self.query('SELECT * FROM VS1.DUMMY'), self.query('SELECT * FROM VIEWS.VTABLE_VIEW')) self.query('REVOKE SELECT ON VS1 FROM user2') self.commit() # The owner of the view has no more privileges to SELECT from vtable with self.assertRaisesRegexp(Exception, 'insufficient privileges: SELECT on table DUMMY'): self.query('SELECT * FROM VIEWS.VTABLE_VIEW') def testRowlevelSecurityUseCase(self): self.query('''CREATE SCHEMA adapter_4091_schema''') self.query('''CREATE SCHEMA data_4091_schema''') self.query('''CREATE TABLE data_4091_schema.t(a1 varchar(100), a2 varchar(100), userName varchar(100))''') self.query('''INSERT INTO data_4091_schema.t values('a', 'b', 'SYS')''') self.query('''INSERT INTO data_4091_schema.t values('c', 'd', 'SYS')''') self.query('''INSERT INTO data_4091_schema.t values('e', 'f', 'U2')''') self.query('''INSERT INTO data_4091_schema.t values('g', 'h', 'U2')''') self.query('''INSERT INTO data_4091_schema.t values('i', 'j', 'USER4091')''') self.query('''INSERT INTO data_4091_schema.t values('k', 'l', 'USER4091')''') all_data_rows = [('a','b','SYS'),('c','d','SYS'), ('e','f','U2'),('g','h','U2'), ('i','j','USER4091'),('k','l','USER4091')] user4091_data_rows = [('i','j','USER4091'),('k','l','USER4091')] self.query(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT adapter_4091_schema.rls_adapter AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = { "type": "createVirtualSchema", "schemaMetadata": { "tables": [ { "name": "T", "columns": [{ "name": "a1", "dataType": {"type": "VARCHAR", "size": 2000000} },{ "name": "a2", "dataType": {"type": "VARCHAR", "size": 2000000} },{ "name": "userName", "dataType": {"type": "VARCHAR", "size": 100} }] }] } } return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({"type": "dropVirtualSchema"}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({"type": "setProperties"}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({"type": "refresh"}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({ "type": "getCapabilities", "capabilities": [] }).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = { "type": "pushdown", "sql": "SELECT * FROM data_4091_schema.t WHERE userName = current_user or current_user = 'SYS'" } return json.dumps(res).encode('utf-8') else: raise ValueError('Unsupported callback') / ''') #self.query('''DROP VIRTUAL SCHEMA RSL_SCHEMA CASCADE''') self.query('''CREATE VIRTUAL SCHEMA RSL_SCHEMA USING adapter_4091_schema.rls_adapter''') self.assertRowsEqualIgnoreOrder(all_data_rows,self.query('''SELECT * FROM RSL_SCHEMA.T''')) self.query('''CREATE SCHEMA USER_SCHEMA''') self.query('''CREATE OR REPLACE VIEW USER_SCHEMA.RSL_VIEW AS SELECT * FROM RSL_SCHEMA.T''') self.assertRowsEqualIgnoreOrder(all_data_rows,self.query('''SELECT * FROM USER_SCHEMA.RSL_VIEW''')) self.createUser("user4091","user4091") self.query('''GRANT CREATE SESSION TO user4091''') self.query('''GRANT SELECT ON USER_SCHEMA.RSL_VIEW TO user4091''') #GRANT EXECUTE ON adapter_4091_schema.fast_adapter to U1; self.commit() conn = self.getConnection('user4091','user4091') self.assertRowsEqualIgnoreOrder(user4091_data_rows, conn.query('''SELECT * FROM USER_SCHEMA.RSL_VIEW''')) conn.close() self.query('''DROP USER USER4091''') self.query('''DROP VIRTUAL SCHEMA RSL_SCHEMA CASCADE''') self.query('''DROP SCHEMA USER_SCHEMA CASCADE''') self.query('''DROP ADAPTER SCRIPT adapter_4091_schema.rls_adapter''') self.query('''DROP SCHEMA data_4091_schema cascade''') self.query('''DROP SCHEMA adapter_4091_schema cascade''') # EXA_*_VIRTUAL_SCHEMA_PROPERTIES # Test Variants: #-- owner | obj priv ALTER schema | sys ALTER ANY VS #-- no | no | no #-- yes | no | no #-- no | direct | no #-- no | via role | no #-- no | via public role | no #-- no | no | direct #-- no | no | via role #-- no | no | via public role # - Other privs not sufficient (ALTER/DROP ANY VIRTUAL SCHEMA REFRESH, SELECT ANY TABLE, SELECT on schema, REFRESH on schema) def testSysTableVSchemaPropertiesNoDBAAccess(self): self.createUser("user2", "user2") self.commit() conn = self.getConnection('user2', 'user2') with self.assertRaisesRegexp(Exception, 'insufficient privileges: SELECT on table EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES'): conn.query("SELECT * FROM EXA_DBA_VIRTUAL_SCHEMA_PROPERTIES") def testSysTableVSchemaPropertiesNoPrivs(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) # User has privs, but not the ones required to view virtual schema properties def testSysTableVSchemaPropertiesWrongPrivs(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") #self.query("GRANT SELECT ANY TABLE to user2") #self.query("GRANT ALTER ANY SCHEMA to user2") #self.query("GRANT ALTER ANY VIRTUAL SCHEMA REFRESH to user2") #self.query("GRANT SELECT on VS1 to user2") #self.query("GRANT REFRESH on VS1 to user2") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) # def testSysTableVSchemaPropertiesOwner(self): # self.createUser("user2", "user2") # self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") # self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") # self.query("ALTER VIRTUAL SCHEMA VS1 CHANGE OWNER user2") # self.commit() # conn = self.getConnection('user2', 'user2') # self.assertRowsEqual( # [('VS1', 'P', 'V1')], # conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES")) # self.assertRowsEqual( # [('VS1', 'P', 'V1')], # conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) # ## added, so that the schema can be dropped -- SPOT-4245 # self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') def testSysTableVSchemaPropertiesAlterObjPriv(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") self.query("GRANT ALTER ON VS1 TO user2") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) def testSysTableVSchemaPropertiesAlterObjPrivViaRole(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") self.query("DROP ROLE IF EXISTS role_01") self.query("DROP ROLE IF EXISTS role_02") self.query("DROP ROLE IF EXISTS role_03") self.query("CREATE ROLE role_01") self.query("CREATE ROLE role_02") self.query("CREATE ROLE role_03") self.query("GRANT role_01 TO role_02") self.query("GRANT role_02 TO role_03") self.query("GRANT role_03 TO user2") self.query("GRANT ALTER ON VS1 TO role_01") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) def testSysTableVSchemaPropertiesAlterObjPrivViaPublicRole(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") self.query("GRANT ALTER ON VS1 TO public") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) def testSysTableVSchemaPropertiesAlterSysPriv(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") self.query("GRANT ALTER ANY VIRTUAL SCHEMA TO user2") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1'), ('VS2', 'P', 'V2')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES ORDER BY SCHEMA_NAME")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) def testSysTableVSchemaPropertiesAlterSysPrivViaRole(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") self.query("DROP ROLE IF EXISTS role_01") self.query("DROP ROLE IF EXISTS role_02") self.query("DROP ROLE IF EXISTS role_03") self.query("CREATE ROLE role_01") self.query("CREATE ROLE role_02") self.query("CREATE ROLE role_03") self.query("GRANT role_01 TO role_02") self.query("GRANT role_02 TO role_03") self.query("GRANT role_03 TO user2") self.query("GRANT ALTER ANY VIRTUAL SCHEMA TO role_01") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1'), ('VS2', 'P', 'V2')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES ORDER BY SCHEMA_NAME")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) def testSysTableVSchemaPropertiesAlterSysPrivViaPublicRole(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") self.query("GRANT ALTER ANY VIRTUAL SCHEMA TO public") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1'), ('VS2', 'P', 'V2')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES ORDER BY SCHEMA_NAME")) self.assertRowsEqual( [], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) self.query("REVOKE ALTER ANY VIRTUAL SCHEMA FROM public") self.commit() def testSysTableVSchemaPropertiesMultiPrivs(self): self.createUser("user2", "user2") self.query("CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER WITH P='V1'") self.query("CREATE VIRTUAL SCHEMA VS2 USING ADAPTER.FAST_ADAPTER WITH P='V2'") # Give the user all kinds of privs self.query("GRANT ALTER ANY VIRTUAL SCHEMA TO user2") self.query("GRANT ALTER on VS1 TO user2") self.query("ALTER VIRTUAL SCHEMA VS1 CHANGE OWNER user2") self.query("DROP ROLE IF EXISTS role_01") self.query("DROP ROLE IF EXISTS role_02") self.query("DROP ROLE IF EXISTS role_03") self.query("CREATE ROLE role_01") self.query("CREATE ROLE role_02") self.query("CREATE ROLE role_03") self.query("GRANT role_01 TO role_02") self.query("GRANT role_02 TO role_03") self.query("GRANT role_03 TO user2") self.query("GRANT ALTER ANY VIRTUAL SCHEMA TO role_01") self.query("GRANT ALTER on VS1 TO role_01") self.commit() conn = self.getConnection('user2', 'user2') self.assertRowsEqual( [('VS1', 'P', 'V1'), ('VS2', 'P', 'V2')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_ALL_VIRTUAL_SCHEMA_PROPERTIES ORDER BY SCHEMA_NAME")) self.assertRowsEqual( [('VS1', 'P', 'V1')], conn.query("SELECT SCHEMA_NAME, PROPERTY_NAME, PROPERTY_VALUE FROM EXA_USER_VIRTUAL_SCHEMA_PROPERTIES")) ## added, so that the schema can be dropped -- SPOT-4245 self.query('GRANT EXECUTE ON ADAPTER.FAST_ADAPTER TO user2') class MiscTest(VSchemaTest): def testBig(self): self.query('DROP SCHEMA IF EXISTS NBIG CASCADE') self.query('CREATE SCHEMA NBIG') size = 1 sizeColumns = 1000 for i in range(0,size): columns = "" for j in range(0,sizeColumns): if (j != 0): columns += ", " columns += "a{col} int, b{col} varchar(100)".format(col=j) queryString = "CREATE TABLE T{idx}(".format(idx=i) queryString += columns + ")" self.query(queryString) self.commit() # commit, otherwise adapter doesn't see tables for i in range(0,size): values = "" for j in range(0,sizeColumns): if (j != 0): values += ", " values += "{col}, '{col}'".format(col=j) queryString = "INSERT INTO T{idx} VALUES (".format(idx=i) queryString += values + ")" self.query(queryString) self.createJdbcAdapter() self.createVirtualSchemaJdbc("VS1", "NBIG", "ADAPTER.JDBC_ADAPTER", True) select = "SELECT " for i in range(0,size): if (i != 0): select += ", " for j in range(0,sizeColumns): if (j != 0): select += ", " select += "T{idx}.a{col} a{idx}_{col}, T{idx}.b{col} b{idx}_{col} ".format(idx=i, col=j); select += "FROM " selectNative = select for i in range(0,size): if (i != 0): select += ", " select += "VS1.T{idx}".format(idx=i) for i in range(0,size): if (i != 0): selectNative += ", " selectNative += "NBIG.T{idx}".format(idx=i) rowsNative = self.query(selectNative) rows = self.query(select) self.assertRowsEqual(rows, rowsNative) self.query('DROP SCHEMA IF EXISTS NBIG CASCADE') def testLargeData(self): self.query('DROP SCHEMA IF EXISTS NBIG2 CASCADE') self.query('CREATE SCHEMA NBIG2') self.query('CREATE TABLE Tlarge(a varchar(2000000)) ') self.commit() size = 10 for i in range(0,size): value ="" char = i % 10 c = `i` for j in range(0,2000000): value+= c queryString = "INSERT INTO Tlarge VALUES ('" + value +"')" self.query(queryString) self.createJdbcAdapter() self.createVirtualSchemaJdbc("VS1", "NBIG2", "ADAPTER.JDBC_ADAPTER", True) rowsNative = self.query("SELECT * FROM NBIG2.Tlarge"); rows = self.query("SELECT * FROM VS1.Tlarge"); self.assertRowsEqual(rows, rowsNative) self.query('DROP SCHEMA IF EXISTS NBIG2 CASCADE') def testLargeAdapterNotes(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_NOTES CASCADE') self.createNotesAdapter(schemaName="ADAPTER", adapterName="NOTES_ADAPTER") self.query('CREATE VIRTUAL SCHEMA VS_NOTES USING ADAPTER.NOTES_ADAPTER') self.query('SELECT * FROM VS_NOTES.DUMMY') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_NOTES CASCADE') def testManyAdapterNoteEntries(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_NOTES2 CASCADE') self.createSecondNotesAdapter(schemaName="ADAPTER", adapterName="SECOND_NOTES_ADAPTER") self.query('CREATE VIRTUAL SCHEMA VS_NOTES2 USING ADAPTER.SECOND_NOTES_ADAPTER') self.query('SELECT * FROM VS_NOTES2.DUMMY') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_NOTES2 CASCADE') def createNotesAdapter(self, schemaName="ADAPTER", adapterName="FAST_ADAPTER"): self.dropOldAdapter(schemaName, adapterName) self.query('CREATE SCHEMA {schema}'.format(schema=schemaName)) self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT {schema}.{adapter} AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": c = "0" value = "" value += '\"' for j in range(0,60000000): value+= c value += '\"' res = {{ "type": "createVirtualSchema", "schemaMetadata": {{ "adapterNotes": "", "tables": [ {{ "name": "DUMMY", "columns": [{{ "name": "KEY", "dataType": {{"type": "VARCHAR", "size": 2000000}} }},{{ "name": "VALUE", "dataType": {{"type": "VARCHAR", "size": 2000000}} }}] }}] }} }} res["schemaMetadata"]["adapterNotes"] = value return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({{"type": "dropVirtualSchema"}}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({{"type": "setProperties"}}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({{"type": "refresh"}}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({{ "type": "getCapabilities", "capabilities": [] }}).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = {{ "type": "pushdown", "sql": "SELECT * FROM (VALUES ('FOO', 'BAR')) t" }} return json.dumps(res).encode('utf-8') else: raise ValueError('Unsupported callback') / ''').format(schema = schemaName, adapter = adapterName)) def createSecondNotesAdapter(self, schemaName="ADAPTER", adapterName="FAST_ADAPTER"): self.dropOldAdapter(schemaName, adapterName) self.query('CREATE SCHEMA {schema}'.format(schema=schemaName)) self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT {schema}.{adapter} AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = {{ "type": "createVirtualSchema", "schemaMetadata": {{ "adapterNotes": "", "tables": [ {{ "name": "DUMMY", "columns": [{{ "name": "KEY", "dataType": {{"type": "VARCHAR", "size": 2000000}} }},{{ "name": "VALUE", "dataType": {{"type": "VARCHAR", "size": 2000000}} }}] }}] }} }} tmp = {{}} for j in range(0,1000000): key = "k"+`j` tmp[key] = `j` res["schemaMetadata"]["adapterNotes"] = '\"' + json.dumps(tmp) + '\"' return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({{"type": "dropVirtualSchema"}}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({{"type": "setProperties"}}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({{"type": "refresh"}}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({{ "type": "getCapabilities", "capabilities": [] }}).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = {{ "type": "pushdown", "sql": "SELECT * FROM (VALUES ('FOO', 'BAR')) t" }} return json.dumps(res).encode('utf-8') else: raise ValueError('Unsupported callback') / ''').format(schema = schemaName, adapter = adapterName)) class ExplainVirtualBasic(VSchemaTest): def setUp(self): self.query('DROP FORCE VIRTUAL SCHEMA IF EXISTS VS1 CASCADE') self.createFastAdapter(schemaName="ADAPTER", adapterName="FAST_ADAPTER") self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.FAST_ADAPTER", True) self.commit() def testExplainWithoutVirtual(self): with self.assertRaisesRegexp(Exception, 'syntax error, unexpected SELECT_'): self.query('EXPLAIN SELECT * FROM DUMMY') def testExplainWithoutVirtualTable(self): with self.assertRaisesRegexp(Exception, 'Explain virtual not possible on queries without virtual tables'): self.query('EXPLAIN VIRTUAL (SELECT 2 FROM DUAL);') def testExplainVirtualWithSimpleRequest(self): rows = self.query('EXPLAIN VIRTUAL SELECT * FROM DUMMY;') self.assertEqual([1,], self.getColumn(rows,0)) self.assertEqual(['''SELECT * FROM (VALUES ('FOO', 'BAR')) t''',], self.getColumn(rows,1)) self.assertEqual(['DUMMY',], self.getColumn(rows,3)) def testExplainVirtualWithSubqueryId(self): rows = self.query('SELECT PUSHDOWN_ID FROM (EXPLAIN VIRTUAL SELECT * FROM DUMMY);') self.assertRowsEqual([(1,)], rows) def testExplainVirtualWithSubquerySQL(self): rows = self.query('SELECT PUSHDOWN_SQL FROM (EXPLAIN VIRTUAL SELECT * FROM DUMMY);') self.assertRowsEqual([('''SELECT * FROM (VALUES ('FOO', 'BAR')) t''',)], rows) def testExplainVirtualWithSubqueryJson(self): rows = self.query('SELECT PUSHDOWN_JSON FROM (EXPLAIN VIRTUAL SELECT * FROM DUMMY);') self.assertTrue("schemaMetadataInfo" in rows[0][0]) def testExplainVirtualWithSubqueryInvolvedTables(self): rows = self.query('SELECT PUSHDOWN_INVOLVED_TABLES FROM (EXPLAIN VIRTUAL SELECT * FROM DUMMY);') self.assertRowsEqual([('''DUMMY''',)], rows) def testExplainVirtualWithSubqueryALL(self): rows = self.query('SELECT * FROM (EXPLAIN VIRTUAL SELECT * FROM DUMMY);') self.assertEqual(len(rows), 1) self.assertEqual(len(rows[0]), 4) self.assertEqual(rows[0][0], 1) self.assertEqual(rows[0][1], '''SELECT * FROM (VALUES ('FOO', 'BAR')) t''') self.assertEqual(rows[0][3], '''DUMMY''') self.assertTrue("schemaMetadataInfo" in rows[0][2]) self.assertTrue("capabilities" in rows[0][2]) self.assertTrue("pushdownRequest" in rows[0][2]) self.assertTrue("pushdown" in rows[0][2]) def testExplainVirtualWithCreate(self): with self.assertRaisesRegexp(Exception, 'syntax error, unexpected CREATE_'): self.query('EXPLAIN VIRTUAL CREATE VIRTUAL SCHEMA VS1 USING ADAPTER.FAST_ADAPTER') def testExplainVirtualWithAlter(self): with self.assertRaisesRegexp(Exception, 'syntax error, unexpected ALTER_'): self.query('''EXPLAIN VIRTUAL ALTER VIRTUAL SCHEMA VS1 SET UNUSED='FOO' ''') def testExplainVirtualWithAlterRefresh(self): with self.assertRaisesRegexp(Exception, 'syntax error, unexpected ALTER_'): self.query('EXPLAIN VIRTUAL ALTER VIRTUAL SCHEMA VS1 REFRESH') def testExplainVirtualWithDrop(self): with self.assertRaisesRegexp(Exception, 'syntax error, unexpected DROP_'): self.query('EXPLAIN VIRTUAL DROP VIRTUAL SCHEMA VS1') def testExplainVirtualWithInvalidPushdownSql(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT adapter.invalid_fast_adapter AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = { "type": "createVirtualSchema", "schemaMetadata": { "tables": [ { "name": "DUMMY", "columns": [{ "name": "A", "dataType": {"type": "VARCHAR", "size": 2000000} },{ "name": "B", "dataType": {"type": "VARCHAR", "size": 2000000} }] }] } } return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({"type": "dropVirtualSchema"}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({ "type": "getCapabilities", "capabilities": [] }).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = { "type": "pushdown", "sql": "IMPORT FROM JDBC AT 'jdbc:exa:non-existing-host:1234' USER 'alice' IDENTIFIED BY 'bob' STATEMENT 'SELECT * FROM non-existing-table'" } return json.dumps(res).encode('utf-8') else: raise ValueError('Unsupported callback') / ''')) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_INVALID_EXPLAIN CASCADE') self.query('CREATE VIRTUAL SCHEMA VS_INVALID_EXPLAIN USING ADAPTER.invalid_fast_adapter') rows = self.query('SELECT PUSHDOWN_SQL FROM (EXPLAIN VIRTUAL SELECT * FROM VS_INVALID_EXPLAIN.dummy)') self.assertRowsEqual([("""IMPORT FROM JDBC AT 'jdbc:exa:non-existing-host:1234' USER 'alice' IDENTIFIED BY 'bob' STATEMENT 'SELECT * FROM non-existing-table'""",)], rows) self.commit() class ExplainVirtualPushdown(VSchemaTest): setupDone = False def setUp(self): # TODO This is another ugly workaround for the problem that the framework doesn't offer us a query in classmethod setUpClass. Rewrite! if self.__class__.setupDone: self.query(''' CLOSE SCHEMA ''') return self.createJdbcAdapter() self.createNative() self.commit() # We have to commit, otherwise the adapter won't see these tables self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) self.commit() self.query(''' CLOSE SCHEMA ''') self.__class__.setupDone = True def testPushdownResponses(self): # Single Group self.compareWithExplainVirtual(''' SELECT a, c FROM {v}.T; ''', '''SELECT A, C FROM NATIVE.T''') self.compareWithExplainVirtual(''' SELECT t1.a FROM {v}.t t1, {v}.t t2 ''', ['''SELECT A FROM NATIVE.T''','''SELECT true FROM NATIVE.T''']) self.compareWithExplainVirtual(''' SELECT (a+1) a1 FROM {v}.t ''', '''SELECT (A + 1) FROM NATIVE.T''') def testNestedPushdowns(self): self.compareWithExplainVirtual(''' SELECT a FROM (SELECT a FROM VS1.t ORDER BY false); ''', '''SELECT A FROM NATIVE.T ORDER BY false''') rows = self.query(''' SELECT PUSHDOWN_SQL||'X' FROM (EXPLAIN VIRTUAL SELECT a FROM (SELECT a FROM VS1.t ORDER BY false)); ''') self.assertRowsEqual([('''SELECT A FROM NATIVE.T ORDER BY falseX''',)], rows) self.compareWithExplainVirtual(''' SELECT a FROM (SELECT a FROM VS1.t ORDER BY false), (SELECT b FROM VS1.t ORDER BY false); ''', ['SELECT A FROM NATIVE.T ORDER BY false', 'SELECT NULL FROM NATIVE.T ORDER BY false']) # review! rows = self.query(''' SELECT PUSHDOWN_SQL||'X' FROM (EXPLAIN VIRTUAL SELECT a FROM (SELECT a FROM VS1.t ORDER BY false), (SELECT b FROM VS1.t ORDER BY false)); ''') self.assertRowsEqualIgnoreOrder([('''SELECT A FROM NATIVE.T ORDER BY falseX''',),('''SELECT NULL FROM NATIVE.T ORDER BY falseX''',)], rows) self.compareWithExplainVirtual(''' SELECT * FROM VS1.t WHERE a IN (SELECT DISTINCT a FROM VS1.t ORDER BY a DESC LIMIT 2); ''', ['''SELECT * FROM NATIVE.T''','''SELECT A FROM NATIVE.T GROUP BY A ORDER BY A DESC LIMIT 2''']) rows = self.query(''' SELECT PUSHDOWN_SQL||'X' FROM (EXPLAIN VIRTUAL SELECT * FROM VS1.t WHERE a IN (SELECT DISTINCT a FROM VS1.t ORDER BY a DESC LIMIT 2)); ''') self.assertRowsEqualIgnoreOrder([('''SELECT * FROM NATIVE.TX''',),('''SELECT A FROM NATIVE.T GROUP BY A ORDER BY A DESC LIMIT 2X''',)], rows) rows = self.query(''' SELECT * FROM (EXPLAIN VIRTUAL SELECT a FROM VS1.t ORDER BY false), (EXPLAIN VIRTUAL SELECT b FROM VS1.t ORDER BY false); ''') self.assertEquals(['''SELECT A FROM NATIVE.T ORDER BY false''', '''SELECT A FROM NATIVE.T ORDER BY false'''], self.getColumn(rows, 1)) self.assertEquals(['''SELECT A FROM NATIVE.T ORDER BY false''', '''SELECT B FROM NATIVE.T ORDER BY false'''], self.getColumn(rows, 5)) def testJoins(self): # Equi Join self.compareWithExplainVirtual(''' select t1.a FROM {v}.t t1 join {v}.t t2 on t1.b=t2.b ''', ['''SELECT A, B FROM NATIVE.T''','''SELECT B FROM NATIVE.T''']) # Outer Join self.compareWithExplainVirtual(''' select * FROM {v}.t t1 left join {v}.t t2 on t1.a=t2.a where coalesce(t2.a, 1) = 1 ''', ['''SELECT * FROM NATIVE.T''', '''SELECT * FROM NATIVE.T''']) # Cross Join self.compareWithExplainVirtual(''' select t1.a FROM {v}.t t1, {v}.t t2 ''', ['''SELECT A FROM NATIVE.T''', '''SELECT true FROM NATIVE.T''']) # Join with native table self.compareWithExplainVirtual(''' select * from {v}.t vt join {n}.t nt on vt.a = nt.a where nt.a = 1 ''', '''SELECT * FROM NATIVE.T''') def testSelectListExpressions(self): self.compareWithExplainVirtual(''' select a+1 from {v}.t order by c desc ''', '''SELECT (A + 1) FROM NATIVE.T ORDER BY C DESC''') def testPredicates(self): self.compareWithExplainVirtual(''' SELECT a=1, b FROM {v}.t WHERE a=(a*2/2) ''', '''SELECT A = 1, B FROM NATIVE.T WHERE A = ((A * 2) / 2)''') def testOrderByLimit(self): self.compareWithExplainVirtual(''' select a+1 as a1, c from {v}.t order by a+1 ''', '''SELECT (A + 1), C FROM NATIVE.T ORDER BY (A + 1)''') def testAggregation(self): # Single Group self.compareWithExplainVirtual(''' select count(*) from {v}.t ''', '''SELECT COUNT(*) FROM NATIVE.T''') # Group By Expression self.compareWithExplainVirtual(''' select a*2, count(*), max(b) from {v}.t group by a*2 ''', '''SELECT (A * 2), COUNT(*), MAX(B) FROM NATIVE.T GROUP BY (A * 2)''') # Aggregation On Join self.compareWithExplainVirtual(''' select sum(t1.a) from {v}.t t1, {v}.t t2 group by t1.a ''', ['SELECT A FROM NATIVE.T', 'SELECT true FROM NATIVE.T']) def testScalarFunctions(self): # Aggregation On Join self.compareWithExplainVirtual(''' select * from {v}.t where abs(a) = 1 ''', 'SELECT * FROM NATIVE.T WHERE ABS(A) = 1') def testMultiPushdown(self): self.createVirtualSchemaJdbc("VS2", "NATIVE", "ADAPTER.JDBC_ADAPTER", True) # Create an additional virtual schema using another adapter self.createJdbcAdapter(schemaName="ADAPTER2", adapterName="JDBC_ADAPTER") self.createVirtualSchemaJdbc("VS3", "NATIVE", "ADAPTER2.JDBC_ADAPTER", True) # 1 virtual schema, n virtual tables self.compareWithExplainVirtual(''' select * from {v}.t t1, {v}.t t2, {v}.t t3 where t1.a = t2.a and t2.a = t3.a; ''', ['SELECT * FROM NATIVE.T', 'SELECT * FROM NATIVE.T', 'SELECT * FROM NATIVE.T']) # 1 adapter, n virtual schemas self.compareWithExplainVirtual(''' select * from {v}.t t1, {v2}.t t2, {v}.t t3 where t1.a = t2.a and t2.a = t3.a; ''', ['SELECT * FROM NATIVE.T', 'SELECT * FROM NATIVE.T', 'SELECT * FROM NATIVE.T']) # different adapters, different schemas self.compareWithExplainVirtual(''' select * from {v}.t t1, {v3}.t t2 where t1.a = t2.a; ''', ['SELECT * FROM NATIVE.T', 'SELECT * FROM NATIVE.T']) self.compareWithExplainVirtual(''' select * from {v}.t t1, (select a, b from {v3}.t) t2 where t1.a = t2.a; ''', ['SELECT * FROM NATIVE.T','SELECT A, B FROM NATIVE.T']) self.compareWithExplainVirtual(''' select * from {v}.t where a in (select distinct a from {v3}.t order by a desc limit 2); ''', ['SELECT * FROM NATIVE.T','SELECT A FROM NATIVE.T GROUP BY A ORDER BY A DESC LIMIT 2']) def testWithAnalytical(self): self.compareWithExplainVirtual(''' SELECT k, v1, sum(v1) over (PARTITION BY k ORDER BY v1) AS SUM FROM {v}.g order by k desc, sum; ''', 'SELECT K, V1 FROM NATIVE.G') def testMixed(self): # Special Case: c*c is removed from select list, so only lookups in selectlist. Should still pushdown agg. self.compareWithExplainVirtual(''' SELECT count(a) FROM ( SELECT a,c*c as x, sum(c) mysum FROM {v}.t GROUP BY a,c*c) subsel WHERE subsel.x<15 AND mysum>2; ''', '''SELECT A FROM NATIVE.T WHERE (C * C) < 15 GROUP BY (C * C), A HAVING 2 < SUM(C)''') # review! # ... same with b only in filter self.compareWithExplainVirtual(''' SELECT count(a) FROM ( SELECT a,c*c as x, sum(c) mysum FROM {v}.t WHERE b!='f' GROUP BY a,c*c) subsel WHERE subsel.x<15 AND mysum>2; ''', '''SELECT A FROM NATIVE.T WHERE (B != 'f' AND (C * C) < 15) GROUP BY (C * C), A HAVING 2 < SUM(C)''') # review! # ... same with join self.compareWithExplainVirtual(''' SELECT count(a) FROM ( SELECT t1.a,t1.c*t1.c as x, sum(t1.c) mysum FROM {v}.t t1 JOIN {v}.t t2 ON t1.b=t2.b GROUP BY t1.a,t1.c*t1.c) subsel WHERE subsel.x<15 AND mysum>2; ''', ['SELECT * FROM NATIVE.T WHERE (C * C) < 15', 'SELECT B FROM NATIVE.T']) class AdapterNotes(VSchemaTest): def testStringWithQuotesSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement="\\\"string\\\"") self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('SELECT * FROM VS_ILLEGAL_NOTES.DUMMY') rows = self.query("SELECT ADAPTER_NOTES FROM EXA_VIRTUAL_SCHEMAS WHERE SCHEMA_NAME='VS_ILLEGAL_NOTES'") self.assertRowsEqual([('string',)], rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonObjectSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement="[{\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"KEY\\\"}, {\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"VALUE\\\"}]") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonNonExistingObjectSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement="[{\\\"data\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"KEY\\\"}, {\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"VALUE\\\"}]") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonBooleanSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement="true") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testIllegalQuoteSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement='''\\\"\\\\\\'t\\\'\\\"''') with self.assertRaisesRegexp(Exception, "Bad escape sequence in string."): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testAdapterNoteWithoutQuotesSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement="no quotes") with self.assertRaisesRegexp(Exception, "Syntax error: value, object or array expected."): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testIncompleteAdapterNoteSchema(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement="\\\"x") with self.assertRaisesRegexp(Exception, "Missing ',' or '}' in object declaration"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testStringWithQuotesTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2="\\\"string\\\"") self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('SELECT * FROM VS_ILLEGAL_NOTES.DUMMY') rows = self.query("SELECT ADAPTER_NOTES FROM EXA_DBA_VIRTUAL_TABLES WHERE TABLE_SCHEMA='VS_ILLEGAL_NOTES' AND TABLE_NAME='DUMMY'") self.assertRowsEqual([('string',)], rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonObjectTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2="[{\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"KEY\\\"}, {\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"VALUE\\\"}]") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonNonExistingObjectTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2="[{\\\"data\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"KEY\\\"}, {\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"VALUE\\\"}]") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonBooleanTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2="true") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testIllegalQuoteTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2='''\\\"\\\\\\'t\\\'\\\"''') with self.assertRaisesRegexp(Exception, "Bad escape sequence in string."): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testAdapterNoteWithoutQuotesTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2="no quotes") with self.assertRaisesRegexp(Exception, "Syntax error: value, object or array expected."): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testIncompleteAdapterNoteTable(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement2="\\\"x") with self.assertRaisesRegexp(Exception, "Missing ',' or '}' in object declaration"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testStringWithQuotesColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3="\\\"string\\\"") self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('SELECT * FROM VS_ILLEGAL_NOTES.DUMMY') rows = self.query("SELECT ADAPTER_NOTES FROM EXA_DBA_VIRTUAL_COLUMNS WHERE COLUMN_SCHEMA='VS_ILLEGAL_NOTES' AND COLUMN_TABLE='DUMMY' ORDER BY COLUMN_NAME") self.assertRowsEqual([('string',),(None,)], rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonObjectColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3="[{\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"KEY\\\"}, {\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"VALUE\\\"}]") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonNonExistingObjectColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3="[{\\\"data\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"KEY\\\"}, {\\\"dataType\\\": {\\\"type\\\": \\\"VARCHAR\\\", \\\"size\\\": 100}, \\\"name\\\": \\\"VALUE\\\"}]") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testJsonBooleanColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3="true") with self.assertRaisesRegexp(Exception, "No valid json string"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testIllegalQuoteColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3='''\\\"\\\\\\'t\\\'\\\"''') with self.assertRaisesRegexp(Exception, "Bad escape sequence in string."): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testAdapterNoteWithoutQuotesColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3="no quotes") with self.assertRaisesRegexp(Exception, "Syntax error: value, object or array expected."): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def testIncompleteAdapterNoteColumn(self): self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') self.createIllegalNotesAdapter(schemaName="ADAPTER", adapterName="ILLEGAL_NOTES_ADAPTER", replacement3="\\\"x") with self.assertRaisesRegexp(Exception, "Missing ',' or '}' in object declaration"): self.query('CREATE VIRTUAL SCHEMA VS_ILLEGAL_NOTES USING ADAPTER.ILLEGAL_NOTES_ADAPTER') self.query('DROP VIRTUAL SCHEMA IF EXISTS VS_ILLEGAL_NOTES CASCADE') def createIllegalNotesAdapter(self, schemaName="ADAPTER", adapterName="FAST_ADAPTER", replacement="\\\"PLACEHOLDER\\\"", replacement2="\\\"PLACEHOLDER2\\\"", replacement3="\\\"PLACEHOLDER3\\\""): self.dropOldAdapter(schemaName, adapterName) self.query('CREATE SCHEMA {schema}'.format(schema=schemaName)) self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT {schema}.{adapter} AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = {{ "type": "createVirtualSchema", "schemaMetadata": {{ "adapterNotes": "PLACEHOLDER", "tables": [ {{ "adapterNotes": "PLACEHOLDER2", "name": "DUMMY", "columns": [{{ "adapterNotes": "PLACEHOLDER3", "name": "KEY", "dataType": {{"type": "VARCHAR", "size": 100}} }},{{ "name": "VALUE", "dataType": {{"type": "VARCHAR", "size": 100}} }}] }}] }} }} return json.dumps(res).replace("\\"PLACEHOLDER\\"","{replace}").replace("\\"PLACEHOLDER\\"","{replace}").replace("\\"PLACEHOLDER2\\"","{replace2}").replace("\\"PLACEHOLDER3\\"","{replace3}").encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({{"type": "dropVirtualSchema"}}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({{"type": "setProperties"}}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({{"type": "refresh"}}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({{ "type": "getCapabilities", "capabilities": [] }}).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = {{ "type": "pushdown", "sql": "SELECT * FROM (VALUES ('FOO', 'BAR')) t" }} return json.dumps(res).encode('utf-8') else: raise ValueError('Unsupported callback') / ''').format(schema = schemaName, adapter = adapterName, replace = replacement, replace2 = replacement2, replace3 = replacement3)) class ViewPrivileges(VSchemaTest): def testGetConnection(self): self.createUser("foo", "foo") self.query('''CREATE SCHEMA IF NOT EXISTS SPOT4245''') self.query(''' create or replace connection AC_FOOCONN to 'a' user 'b' identified by 'c' ''') self.createConnectionAdapter(schemaName="SPOT4245", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS SPOT4245VS CASCADE') self.query('CREATE VIRTUAL SCHEMA SPOT4245VS USING SPOT4245.FAST_ADAPTER') rows = self.query(''' SELECT * from SPOT4245VS.DUMMY ''') self.assertRowsEqual([('password','a','b','c')],rows) self.query("OPEN SCHEMA SPOT4245") self.query("create or replace view SPOT4245.SPOT4245VIEW as SELECT * from SPOT4245VS.DUMMY") self.query("grant select on SPOT4245.SPOT4245VIEW to foo") self.commit() foo_conn = self.getConnection('foo', 'foo') rows = foo_conn.query('''select * from SPOT4245.SPOT4245VIEW''') self.assertRowsEqual([('password','a','b','c')],rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS SPOT4245VS CASCADE') self.query('''DROP SCHEMA IF EXISTS SPOT4245 CASCADE''') def testGetInput(self): self.createUser("foo", "foo") self.query('''CREATE SCHEMA IF NOT EXISTS SPOT4245''') self.query(udf.fixindent(''' CREATE OR REPLACE python SCALAR SCRIPT spot42542script() RETURNS VARCHAR(200) AS def f(): return "42" / ''')) self.createImportAdapter(schemaName="SPOT4245", adapterName="FAST_ADAPTER") self.query('DROP VIRTUAL SCHEMA IF EXISTS SPOT4245VS CASCADE') self.query('CREATE VIRTUAL SCHEMA SPOT4245VS USING SPOT4245.FAST_ADAPTER') rows = self.query(''' SELECT * from SPOT4245VS.DUMMY ''') self.assertRowsEqual([('42',)],rows) self.query("OPEN SCHEMA SPOT4245") self.query("create or replace view SPOT4245.SPOT4245VIEW as SELECT * from SPOT4245VS.DUMMY") self.query("grant select on SPOT4245.SPOT4245VIEW to foo") self.commit() foo_conn = self.getConnection('foo', 'foo') rows = foo_conn.query('''select * from SPOT4245.SPOT4245VIEW''') self.assertRowsEqual([('42', )],rows) self.query('DROP VIRTUAL SCHEMA IF EXISTS SPOT4245VS CASCADE') self.query('''DROP SCHEMA IF EXISTS SPOT4245 CASCADE''') def createConnectionAdapter(self, schemaName="ADAPTER", adapterName="FAST_ADAPTER"): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT {schema}.{adapter} AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = {{ "type": "createVirtualSchema", "schemaMetadata": {{ "tables": [ {{ "name": "DUMMY", "columns": [{{ "name": "TYPE", "dataType": {{"type": "VARCHAR", "size": 200}} }},{{ "name": "HOST", "dataType": {{"type": "VARCHAR", "size": 200}} }},{{ "name": "CONN", "dataType": {{"type": "VARCHAR", "size": 200}} }},{{ "name": "PWD", "dataType": {{"type": "VARCHAR", "size": 200}} }}] }}] }} }} return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({{"type": "dropVirtualSchema"}}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({{"type": "setProperties"}}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({{"type": "refresh"}}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({{ "type": "getCapabilities", "capabilities": [] }}).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = {{ "type": "pushdown", "sql": "SELECT * FROM (VALUES ('PLACEHOLDER1', 'PLACEHOLDER2', 'PLACEHOLDER3', 'PLACEHOLDER4')) t" }} c = exa.get_connection('AC_FOOCONN') return json.dumps(res).replace("PLACEHOLDER1",c.type).replace("PLACEHOLDER2",c.address).replace("PLACEHOLDER3",c.user).replace("PLACEHOLDER4",c.password).encode('utf-8') else: raise ValueError('Unsupported callback') / ''').format(schema = schemaName, adapter = adapterName)) def createImportAdapter(self, schemaName="ADAPTER", adapterName="FAST_ADAPTER"): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON ADAPTER SCRIPT {schema}.{adapter} AS import json import string def adapter_call(request): # database expects utf-8 encoded string of type str. unicode not yet supported root = json.loads(request) if root["type"] == "createVirtualSchema": res = {{ "type": "createVirtualSchema", "schemaMetadata": {{ "tables": [ {{ "name": "DUMMY", "columns": [{{ "name": "VALUE", "dataType": {{"type": "VARCHAR", "size": 200}} }}] }}] }} }} return json.dumps(res).encode('utf-8') elif root["type"] == "dropVirtualSchema": return json.dumps({{"type": "dropVirtualSchema"}}).encode('utf-8') elif root["type"] == "setProperties": return json.dumps({{"type": "setProperties"}}).encode('utf-8') elif root["type"] == "refresh": return json.dumps({{"type": "refresh"}}).encode('utf-8') if root["type"] == "getCapabilities": return json.dumps({{ "type": "getCapabilities", "capabilities": [] }}).encode('utf-8') # database expects utf-8 encoded string of type str. unicode not yet supported. elif root["type"] == "pushdown": res = {{ "type": "pushdown", "sql": "SELECT * FROM (VALUES ('PLACEHOLDER1')) t" }} c = exa.import_script('spot42542script') return json.dumps(res).replace("PLACEHOLDER1",c.f()).encode('utf-8') else: raise ValueError('Unsupported callback') / ''').format(schema = schemaName, adapter = adapterName)) class ReportedBugs(VSchemaTest): setupDone = False def setUp(self): # TODO This is another ugly workaround for the problem that the framework doesn't offer us a query in classmethod setUpClass. Rewrite! if self.__class__.setupDone: self.query(''' CLOSE SCHEMA ''') return self.createJdbcAdapter() self.createNative() self.commit() # We have to commit, otherwise the adapter won't see these tables self.createVirtualSchemaJdbc("VS1", "NATIVE", "ADAPTER.JDBC_ADAPTER", False) self.commit() self.query(''' CLOSE SCHEMA ''') self.__class__.setupDone = True def testEqualColumns(self): # Single Group self.compareWithNativeExtended(''' select 1 from {v}.t WHERE t.A = t.A ''', ignoreOrder=True, explainResponse='''SELECT 1 FROM NATIVE.T''') self.assertExpectations() def testJoinWithSubselect(self): # Single Group self.compareWithNativeExtended(''' SELECT 1 FROM {v}.t_nulls VS LEFT JOIN (SELECT DISTINCT DUMMY FROM SYS.DUAL) D ON VS.A=D.DUMMY LEFT JOIN SYS.DUAL D1 ON 1=1 ''', ignoreOrder=True, explainResponse='''SELECT A FROM NATIVE.T_NULLS''') self.assertExpectations() if __name__ == '__main__': udf.main()

53.264139

314

0.614993

18,199

165,758

5.519644

0.056157

0.061104

0.027774

0.047037

0.790915

0.757108

0.724097

0.700046

0.673944

0.657249

0

0.019587

0.261393

165,758

3,111

315

53.28126

0.80076

0.050194

0

0.636157

0

0.029879

0.526178

0.054167

0

0.000321

0.136536

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null

0.00643

0.019667

null

0

null

0

1

0

1

0

null

0

1

0

5

883041056e660a1c407249cae65cf461d1e5446b

58

py

Python

CursoEmVideoPython/hello_world.py

miguelabreuss/scripts_python

cf33934731a9d1b731672d4309aaea0a24ae151a

[ "MIT" ]

null

CursoEmVideoPython/hello_world.py

miguelabreuss/scripts_python

cf33934731a9d1b731672d4309aaea0a24ae151a

[ "MIT" ]

1

2020-07-04T16:27:25.000Z

CursoEmVideoPython/hello_world.py

miguelabreuss/scripts_python

cf33934731a9d1b731672d4309aaea0a24ae151a

[ "MIT" ]

null

import emoji print(emoji.emojize('Python é :thumbs_up:'))

19.333333

44

0.758621

9

58

4.777778

0.888889

0

0.086207

58

3

44

19.333333

0.811321

0

0.338983

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

884684bde3a96ea0347e750b9f51251b0fc2a2e0

137

py

Python

praw_memories/prawdebug.py

elnuno/praw_memories

dcab9cf795d8d9c34684fb1087c7907c56630cc2

[ "Apache-2.0" ]

1

2017-04-08T03:16:48.000Z

praw_memories/prawdebug.py

elnuno/praw_memories

dcab9cf795d8d9c34684fb1087c7907c56630cc2

[ "Apache-2.0" ]

null

praw_memories/prawdebug.py

elnuno/praw_memories

dcab9cf795d8d9c34684fb1087c7907c56630cc2

[ "Apache-2.0" ]

null

"""Debugging facilities for PRAW-based projects.""" import datetime import json import logging import time import praw import prawcore

13.7

51

0.80292

18

137

6.111111

0.666667

0

0.138686

137

9

52

15.222222

0.932203

0.328467

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

884b504a09c02924992e2ed0397cc3a86d991b80

62

py

Python

hydroserver/hydroserver_core/core_database_models/__init__.py

kjlippold/his_hydroserver

aaf3939965d12dd5bc74f69d22b653ce548bec0a

[ "MIT" ]

1

2021-01-27T19:19:05.000Z

hydroserver/hydroserver_core/core_database_models/__init__.py

CUAHSI-APPS/his_hydroserver

aaf3939965d12dd5bc74f69d22b653ce548bec0a

[ "MIT" ]

1

2019-09-27T16:20:49.000Z

hydroserver/hydroserver_core/core_database_models/__init__.py

kjlippold/his_hydroserver

aaf3939965d12dd5bc74f69d22b653ce548bec0a

[ "MIT" ]

1

2020-06-08T21:43:38.000Z

from hydroserver_core.core_database_models import odm2_sqlite

31

61

0.919355

9

62

5.888889

0.888889

0

0.017241

0.064516

62

1

62

0.896552

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1

0

true

0

1

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1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

885932a210830fd014b4c4e7c17035fd0d093062

304

py

Python

Python/34 Calendar Module.py

hnwarid/HackerRankExercises

5f6f710387b61cbf225e51517e702009659f4416

[ "MIT" ]

null

Python/34 Calendar Module.py

hnwarid/HackerRankExercises

5f6f710387b61cbf225e51517e702009659f4416

[ "MIT" ]

null

Python/34 Calendar Module.py

hnwarid/HackerRankExercises

5f6f710387b61cbf225e51517e702009659f4416

[ "MIT" ]

null

# Enter your code here. Read input from STDIN. Print output to STDOUT import calendar mm, dd, yyyy = map(int, input().split()) # weekday = calendar.weekday(yyyy, mm, dd) # day_name = calendar.day_name[weekday] # print(day_name.upper()) print(calendar.day_name[calendar.weekday(yyyy, mm, dd)].upper())

30.4

69

0.723684

47

304

4.595745

0.510638

0.12963

0.175926

0.194444

0.212963

0

0.128289

304

9

70

33.777778

0.815094

0.559211

0

0.111111

0

1

0

true

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

8870e8927fc8fc205499d31541f2a794beb97349

331

py

Python

ems/datasets/case/case_set.py

EMSTrack/Algorithms

139160619a935001582a60d3f43c0e33082bce99

[ "BSD-3-Clause" ]

1

2020-07-15T00:16:48.000Z

ems/datasets/case/case_set.py

EMSTrack/Algorithms

139160619a935001582a60d3f43c0e33082bce99

[ "BSD-3-Clause" ]

40

2018-12-06T23:13:52.000Z

2019-07-11T01:24:13.000Z

ems/datasets/case/case_set.py

EMSTrack/Algorithms

139160619a935001582a60d3f43c0e33082bce99

[ "BSD-3-Clause" ]

null

# Interface for a "set" of cases class CaseSet: def __init__(self, time): self.time = time def __len__(self): raise NotImplementedError() def iterator(self): raise NotImplementedError() def get_time(self): return self.time def set_time(self, time): self.time = time

18.388889

35

0.613293

40

331

4.825

0.45

0.207254

0.186529

0.165803

0.207254

0

0.296073

331

17

36

19.470588

0.828326

0.090634

0

0.363636

0

1

0.454545

false

0

0.090909

0.636364

0

null

1

0

null

0

1

0

1

0

5

88893e5984bb1933a5a2eff5ce092fb5e2284e15

50

py

Python

pyreq/collector/__init__.py

ksks2211/pyreq

6949039109b39f3ca0e9a39980759495173195ac

[ "MIT" ]

null

pyreq/collector/__init__.py

ksks2211/pyreq

6949039109b39f3ca0e9a39980759495173195ac

[ "MIT" ]

null

pyreq/collector/__init__.py

ksks2211/pyreq

6949039109b39f3ca0e9a39980759495173195ac

[ "MIT" ]

null

from .selector import collect_attr, collect_links

25

49

0.86

7

50

5.857143

0.857143

0

0.1

50

1

50

0.911111

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

888ac9bf14693083f3623c7db7f95cc85e46695d

108

py

Python

Python/python/inp.py

manishaverma1012/programs

dd77546219eab2f2ee81dd0d599b78ebd8f95957

[ "MIT" ]

null

Python/python/inp.py

manishaverma1012/programs

dd77546219eab2f2ee81dd0d599b78ebd8f95957

[ "MIT" ]

null

Python/python/inp.py

manishaverma1012/programs

dd77546219eab2f2ee81dd0d599b78ebd8f95957

[ "MIT" ]

null

a = int (input(' enter the first number ')) b = int (input('enter the second number ')) z = a + b print(a+b)

27

43

0.62037

20

108

3.35

0.55

0.238806

0.38806

0.477612

0

0.203704

108

4

44

27

0.77907

0

0.440367

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

5

88967a0bb5776cbd0a969ab46518674c991a8090

149

py

Python

savu/plugins/azimuthal_integrators/pyfai_azimuthal_integrator_tools.py

elainehoml/Savu

e4772704606f71d6803d832084e10faa585e7358

[ "Apache-2.0" ]

39

2015-03-30T14:03:42.000Z

2022-03-16T16:50:33.000Z

savu/plugins/azimuthal_integrators/pyfai_azimuthal_integrator_tools.py

elainehoml/Savu

e4772704606f71d6803d832084e10faa585e7358

[ "Apache-2.0" ]

670

2015-02-11T11:08:09.000Z

2022-03-21T09:27:57.000Z

savu/plugins/azimuthal_integrators/pyfai_azimuthal_integrator_tools.py

elainehoml/Savu

e4772704606f71d6803d832084e10faa585e7358

[ "Apache-2.0" ]

54

2015-02-13T14:09:52.000Z

2022-01-24T13:57:09.000Z

from savu.plugins.plugin_tools import PluginTools class PyfaiAzimuthalIntegratorTools(PluginTools): """1D azimuthal integrator by pyFAI """

24.833333

49

0.785235

15

149

7.733333

0.933333

0

0.007813

0.14094

149

5

50

29.8

0.898438

0.214765

0

1

0

true

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ee0e11a3510630ea4335d1cad7681b4795b1ab78

167

py

Python

api_postgres/urls.py

DCMidwood/dap-backend

92ddc605618679ccc3ec97a21f5ea296f74fa51f

[ "MIT" ]

null

api_postgres/urls.py

DCMidwood/dap-backend

92ddc605618679ccc3ec97a21f5ea296f74fa51f

[ "MIT" ]

null

api_postgres/urls.py

DCMidwood/dap-backend

92ddc605618679ccc3ec97a21f5ea296f74fa51f

[ "MIT" ]

null

from django.db import router from django.urls import path, include from .router import router from . import views urlpatterns = [ path('', include(router.urls)) ]

20.875

37

0.742515

23

167

5.391304

0.434783

0.16129

0.258065

0

0.161677

167

8

38

20.875

0.885714

0

1

0

false

0

0.571429

0

0.571429

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

ee18b0a3a39e7737a9543d1d38ad02d01fdabee0

2,415

py

Python

terrascript/resource/terraform_provider_graylog/graylog.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/resource/terraform_provider_graylog/graylog.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/resource/terraform_provider_graylog/graylog.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/resource/terraform-provider-graylog/graylog.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:17:31 UTC) import terrascript class graylog_alarm_callback(terrascript.Resource): pass class graylog_alert_condition(terrascript.Resource): pass class graylog_dashboard(terrascript.Resource): pass class graylog_dashboard_widget(terrascript.Resource): pass class graylog_dashboard_widget_positions(terrascript.Resource): pass class graylog_event_definition(terrascript.Resource): pass class graylog_event_notification(terrascript.Resource): pass class graylog_extractor(terrascript.Resource): pass class graylog_grok_pattern(terrascript.Resource): pass class graylog_index_set(terrascript.Resource): pass class graylog_input(terrascript.Resource): pass class graylog_input_static_fields(terrascript.Resource): pass class graylog_ldap_setting(terrascript.Resource): pass class graylog_output(terrascript.Resource): pass class graylog_pipeline(terrascript.Resource): pass class graylog_pipeline_connection(terrascript.Resource): pass class graylog_pipeline_rule(terrascript.Resource): pass class graylog_role(terrascript.Resource): pass class graylog_sidecar_collector(terrascript.Resource): pass class graylog_sidecar_configuration(terrascript.Resource): pass class graylog_sidecars(terrascript.Resource): pass class graylog_stream(terrascript.Resource): pass class graylog_stream_output(terrascript.Resource): pass class graylog_stream_rule(terrascript.Resource): pass class graylog_user(terrascript.Resource): pass __all__ = [ "graylog_alarm_callback", "graylog_alert_condition", "graylog_dashboard", "graylog_dashboard_widget", "graylog_dashboard_widget_positions", "graylog_event_definition", "graylog_event_notification", "graylog_extractor", "graylog_grok_pattern", "graylog_index_set", "graylog_input", "graylog_input_static_fields", "graylog_ldap_setting", "graylog_output", "graylog_pipeline", "graylog_pipeline_connection", "graylog_pipeline_rule", "graylog_role", "graylog_sidecar_collector", "graylog_sidecar_configuration", "graylog_sidecars", "graylog_stream", "graylog_stream_output", "graylog_stream_rule", "graylog_user", ]

18.157895

73

0.767288

259

2,415

6.80695

0.204633

0.280204

0.326149

0.381168

0.553035

0.414067

0.056722

0

0.005862

0.152381

2,415

132

74

18.295455

0.855398

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0

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0.333333

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null

1

0

1

0

null

0

1

0

5

ee29f08458f5e7a5ac9704d063e8d9622f1e15d7

167

py

Python

test/speedTests/setup.py

henrystoldt/MAPLEAF

af970d3e8200832f5e70d537b15ad38dd74fa551

[ "MIT" ]

15

2020-09-11T19:25:07.000Z

2022-03-12T16:34:53.000Z

test/speedTests/setup.py

henrystoldt/MAPLEAF

af970d3e8200832f5e70d537b15ad38dd74fa551

[ "MIT" ]

null

test/speedTests/setup.py

henrystoldt/MAPLEAF

af970d3e8200832f5e70d537b15ad38dd74fa551

[ "MIT" ]

3

2021-12-24T19:39:53.000Z

2022-03-29T01:06:28.000Z

import numpy from setuptools import setup from Cython.Build import cythonize setup(ext_modules=cythonize("addScalarCython.pyx"), include_dirs=[numpy.get_include()])

23.857143

87

0.820359

22

167

6.090909

0.681818

0

0.083832

167

6

88

27.833333

0.875817

0

0.113772

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ee2b54054802ca4d528abc0c273ba16fb239f0db

7,239

py

Python

mw4/test/test_units/environment/test_skymeter.py

Raddock/MountWizzard4

15efed77c1634461184e90a7cf6419eec0dec909

[ "Apache-2.0" ]

null

mw4/test/test_units/environment/test_skymeter.py

Raddock/MountWizzard4

15efed77c1634461184e90a7cf6419eec0dec909

[ "Apache-2.0" ]

null

mw4/test/test_units/environment/test_skymeter.py

Raddock/MountWizzard4

15efed77c1634461184e90a7cf6419eec0dec909

[ "Apache-2.0" ]

null

############################################################ # -*- coding: utf-8 -*- # # # # # # # # # ## ## # ## # # # # # # # # # # # # # # # ## # ## ## ###### # # # # # # # # # Python-based Tool for interaction with the 10micron mounts # GUI with PyQT5 for python # Python v3.7.5 # # Michael Würtenberger # (c) 2019 # # Licence APL2.0 # ########################################################### # standard libraries from unittest import mock import pytest import datetime # external packages import indibase # local import from mw4.test.test_units.setupQt import setupQt host_ip = 'astro-mount.fritz.box' @pytest.fixture(autouse=True, scope='module') def module_setup_teardown(): global app, spy, mwGlob, test app, spy, mwGlob, test = setupQt() def test_name(): name = 'MBox' app.skymeter.name = name assert name == app.skymeter.name def test_newDevice_1(): with mock.patch.object(app.skymeter.client, 'isServerConnected', return_value=True): with mock.patch.object(app.skymeter.client, 'getDevice', return_value=1): suc = app.skymeter.newDevice('test') assert suc assert app.skymeter.device is None def test_newDevice_2(): app.skymeter.name = 'Test' with mock.patch.object(app.skymeter.client, 'isServerConnected', return_value=True): with mock.patch.object(app.skymeter.client, 'getDevice', return_value=1): suc = app.skymeter.newDevice('Test') assert suc assert app.skymeter.device == 1 def test_removeDevice_1(): app.skymeter.name = 'Test' with mock.patch.object(app.skymeter.client, 'isServerConnected', return_value=True): suc = app.skymeter.removeDevice('Test') assert suc assert app.skymeter.device is None assert app.skymeter.data == {} def test_startCommunication_1(): app.skymeter.name = '' with mock.patch.object(app.skymeter.client, 'connectServer', return_value=False): suc = app.skymeter.startCommunication() assert not suc def test_setUpdateRate_1(): app.skymeter.name = 'test' suc = app.skymeter.setUpdateConfig('false') assert not suc def test_setUpdateRate_2(): app.skymeter.name = 'test' app.skymeter.device = None suc = app.skymeter.setUpdateConfig('test') assert not suc def test_setUpdateRate_3(): class Test: @staticmethod def getNumber(test): return {} app.skymeter.name = 'test' app.skymeter.device = Test() suc = app.skymeter.setUpdateConfig('test') assert not suc def test_setUpdateRate_4(): class Test: @staticmethod def getNumber(test): return {'PERIOD': 1} app.skymeter.name = 'test' app.skymeter.device = Test() suc = app.skymeter.setUpdateConfig('test') assert suc def test_setUpdateRate_5(): class Test: @staticmethod def getNumber(test): return {'PERIOD': 10} app.skymeter.name = 'test' app.skymeter.device = Test() with mock.patch.object(app.skymeter.client, 'sendNewNumber', return_value=False): suc = app.skymeter.setUpdateConfig('test') assert not suc def test_setUpdateRate_6(): class Test: @staticmethod def getNumber(test): return {'PERIOD': 10} app.skymeter.name = 'test' app.skymeter.device = Test() with mock.patch.object(app.skymeter.client, 'sendNewNumber', return_value=True): suc = app.skymeter.setUpdateConfig('test') assert suc def test_updateNumber_1(): app.skymeter.device = None app.skymeter.name = 'test' suc = app.skymeter.updateNumber('false', 'WEATHER_HUMIDITY') assert not suc def test_updateNumber_2(): app.skymeter.device = 1 app.skymeter.name = 'test' suc = app.skymeter.updateNumber('false', 'WEATHER_HUMIDITY') assert not suc def test_updateNumber_3(): app.skymeter.device = indibase.indiBase.Device() app.skymeter.name = 'test' values = {'WEATHER_DEWPOINT': 5, 'WEATHER_TEMPERATURE': 10, 'WEATHER_HUMIDITY': 50, } with mock.patch.object(app.skymeter.device, 'getNumber', return_value=values): suc = app.skymeter.updateNumber('test', 'WEATHER_PARAMETERS') assert suc assert app.skymeter.data['WEATHER_DEWPOINT'] == 5 assert app.skymeter.data['WEATHER_TEMPERATURE'] == 10 assert app.skymeter.data['WEATHER_HUMIDITY'] == 50 def test_updateNumber_4(): app.skymeter.device = indibase.indiBase.Device() app.skymeter.name = 'test' values = {'WEATHER_DEWPOINT': 5, } with mock.patch.object(app.skymeter.device, 'getNumber', return_value=values): suc = app.skymeter.updateNumber('test', 'WEATHER_PARAMETERS') assert suc def test_updateNumber_5(): app.skymeter.device = indibase.indiBase.Device() app.skymeter.name = 'test' values = {'WEATHER_HUMIDITY': 50, } with mock.patch.object(app.skymeter.device, 'getNumber', return_value=values): suc = app.skymeter.updateNumber('test', 'WEATHER_PARAMETERS') assert suc def test_updateNumber_6(): app.skymeter.device = indibase.indiBase.Device() app.skymeter.name = 'test' values = {'WEATHER_TEMPERATURE': 10, } with mock.patch.object(app.skymeter.device, 'getNumber', return_value=values): suc = app.skymeter.updateNumber('test', 'WEATHER_PARAMETERS') assert suc def test_updateNumber_7(): app.skymeter.device = indibase.indiBase.Device() app.skymeter.name = 'test' values = {'WEATHER_TEMPERATURE': 20, 'WEATHER_HUMIDITY': 50, } with mock.patch.object(app.skymeter.device, 'getNumber', return_value=values): suc = app.skymeter.updateNumber('test', 'WEATHER_PARAMETERS') assert suc def test_updateNumber_8(): app.skymeter.device = indibase.indiBase.Device() app.skymeter.name = 'test' t = datetime.datetime.utcnow() values = {'WEATHER_TEMPERATURE': 10, 'WEATHER_HUMIDITY': 50, } app.skymeter.data = {'WEATHER_TEMPERATURE': 10, 'WEATHER_HUMIDITY': 50, } with mock.patch.object(app.skymeter.device, 'getNumber', return_value=values): suc = app.skymeter.updateNumber('test', 'WEATHER_PARAMETERS') assert suc

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null

0

5

ee46d35ab1668d42f5f7b29ff1150e7d34015b12

136

py

Python

pyembroidery/StringHelper.py

teosavv/pyembroidery

00985f423e64ea1a454e5484012c19a64f26eb2c

[ "MIT" ]

45

2018-07-08T09:49:30.000Z

2022-03-23T07:01:15.000Z

pyembroidery/StringHelper.py

teosavv/pyembroidery

00985f423e64ea1a454e5484012c19a64f26eb2c

[ "MIT" ]

59

2018-07-05T22:05:58.000Z

2022-02-20T01:01:20.000Z

pyembroidery/StringHelper.py

teosavv/pyembroidery

00985f423e64ea1a454e5484012c19a64f26eb2c

[ "MIT" ]

23

2018-08-10T17:58:04.000Z

2022-03-29T03:41:46.000Z

def is_string(thing): try: return isinstance(thing, basestring) except NameError: return isinstance(thing, str)

22.666667

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ee5aa8111bf2aa378c7a86c2ca612023d1ed7e35

34

py

Python

modules/2.79/bpy/types/XnorController.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/XnorController.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/XnorController.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

class XnorController: pass

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py

Python

twitter/__init__.py

alexcchan/twitter

0940dd67434e682b6be3e4c5b6ab5b0bb8b4b43a

[ "MIT" ]

null

twitter/__init__.py

alexcchan/twitter

0940dd67434e682b6be3e4c5b6ab5b0bb8b4b43a

[ "MIT" ]

null

twitter/__init__.py

alexcchan/twitter

0940dd67434e682b6be3e4c5b6ab5b0bb8b4b43a

[ "MIT" ]

null

from twitter import *

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c9abb685f203127b85cf8787c0edb02d103f9e6e

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py

Python

Assignments/Sprint1/BinaryToAscii.py

mark-morelos/CS_Notes

339c47ae5d7e678b7ac98d6d78857d016c611e38

[ "MIT" ]

1

2021-02-28T07:43:59.000Z

Assignments/Sprint1/BinaryToAscii.py

mark-morelos/CS_Notes

339c47ae5d7e678b7ac98d6d78857d016c611e38

[ "MIT" ]

null

Assignments/Sprint1/BinaryToAscii.py

mark-morelos/CS_Notes

339c47ae5d7e678b7ac98d6d78857d016c611e38

[ "MIT" ]

1

2021-03-03T03:52:21.000Z

""" Given a binary string (ASCII encoded), write a function that returns the equivalent decoded text. Every eight bits in the binary string represents one character on the ASCII table. Examples: csBinaryToASCII("011011000110000101101101011000100110010001100001") -> "lambda" 01101100 -> 108 -> "l" 01100001 -> 97 -> "a" 01101101 -> 109 -> "m" 01100010 -> 98 -> "b" 01100100 -> 100 -> "d" 01100001 -> 97 -> "a" csBinaryToASCII("") -> "" Notes: The input string will always be a valid binary string. Characters can be in the range from "00000000" to "11111111" (inclusive). In the case of an empty input string, your function should return an empty string. """ def csBinaryToASCII(binary): return "".join([chr(int(binary[i:i+8], 2)) for i in range(0, len(binary), 8)])

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5

c9c7687b7e1d2fe3b4a86c1356054ddc4ec28e9a

25,926

py

Python

Plot_final.py

david0811/atms597_proj3

3f89c4e4d745b19879dee9bf71fa01ce23e5a909

[ "MIT" ]

null

Plot_final.py

david0811/atms597_proj3

3f89c4e4d745b19879dee9bf71fa01ce23e5a909

[ "MIT" ]

null

Plot_final.py

david0811/atms597_proj3

3f89c4e4d745b19879dee9bf71fa01ce23e5a909

[ "MIT" ]

2

2020-02-18T19:33:07.000Z

2020-02-28T05:53:05.000Z

import xarray as xr import pandas as pd import cartopy import cartopy.crs as ccrs import matplotlib as mpl import matplotlib.pyplot as plt from matplotlib.cm import get_cmap import numpy as np from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER import shapely.geometry as sgeom import cartopy.feature as cfeature from copy import copy # Define functions for plotting def find_side(ls, side): """ Given a shapely LineString which is assumed to be rectangular, return the line corresponding to a given side of the rectangle. """ minx, miny, maxx, maxy = ls.bounds points = {'left': [(minx, miny), (minx, maxy)], 'right': [(maxx, miny), (maxx, maxy)], 'bottom': [(minx, miny), (maxx, miny)], 'top': [(minx, maxy), (maxx, maxy)],} return sgeom.LineString(points[side]) def lambert_xticks(ax, ticks): """ Draw ticks on the bottom x-axis of a Lambert Conformal projection. """ te = lambda xy: xy[0] lc = lambda t, n, b: np.vstack((np.zeros(n) + t, np.linspace(b[2], b[3], n))).T xticks, xticklabels = _lambert_ticks(ax, ticks, 'bottom', lc, te) ax.xaxis.tick_bottom() ax.set_xticks(xticks) ax.set_xticklabels([ax.xaxis.get_major_formatter()(xtick) for xtick in xticklabels]) def lambert_yticks(ax, ticks): """ Draw ticks on the left y-axis of a Lambert Conformal projection. """ te = lambda xy: xy[1] lc = lambda t, n, b: np.vstack((np.linspace(b[0], b[1], n), np.zeros(n) + t)).T yticks, yticklabels = _lambert_ticks(ax, ticks, 'left', lc, te) ax.yaxis.tick_left() ax.set_yticks(yticks) ax.set_yticklabels([ax.yaxis.get_major_formatter()(ytick) for ytick in yticklabels]) def _lambert_ticks(ax, ticks, tick_location, line_constructor, tick_extractor): """ Get the tick locations and labels for an axis of a Lambert Conformal projection. """ outline_patch = sgeom.LineString(ax.outline_patch.get_path().vertices.tolist()) axis = find_side(outline_patch, tick_location) n_steps = 30 extent = ax.get_extent(ccrs.PlateCarree()) _ticks = [] for t in ticks: xy = line_constructor(t, n_steps, extent) proj_xyz = ax.projection.transform_points(ccrs.Geodetic(), xy[:, 0], xy[:, 1]) xyt = proj_xyz[..., :2] ls = sgeom.LineString(xyt.tolist()) locs = axis.intersection(ls) if not locs: tick = [None] else: tick = tick_extractor(locs.xy) _ticks.append(tick[0]) # Remove ticks that aren't visible: ticklabels = copy(ticks) while True: try: index = _ticks.index(None) except ValueError: break _ticks.pop(index) ticklabels.pop(index) return _ticks, ticklabels def plot_250hPa_winds(lon, lat, u, v, wspd, mode): """ Plot filled contours overlayed with vectors Input ------- lon = lon values extracted from xarray dataset (1-D) lat = lat values extracted from xarray dataset (1-D) u = U-wind at 250 hPa, shape = lon X lat v = V-wind at 250 hPa, shape = lon X lat wspd = Wind speed at 250 hPa, shape = lon X lat mode = 'A' for anomaly data, 'LM' for long term means, and 'EM' for extreme precipitation days Output -------- matplotlib figure with filled contours of wind speed overlayed with wind vectors """ # change data and lon to cyclic coordinates u, lon_new = add_cyclic_point(u.values, coord = lon.values) v, lon_new = add_cyclic_point(v.values, coord = lon.values) wspd, lon = add_cyclic_point(wspd.values, coord = lon.values) # Create a figure fig = plt.figure(figsize = (10, 5)) # Set the GeoAxes to the PlateCarree projection ax = plt.axes(projection = ccrs.PlateCarree()) # Add coastlines ax.coastlines('50m', linewidth = 0.8) # Assign data for filled contour data = wspd if mode == 'EM' or mode == 'LM': # Plot filled contours plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), cmap = get_cmap("viridis")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('m/s', fontsize = 18) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lon[::rd], lat[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 20., label = '20 m/s', coordinates='axes', labelpos='E') elif mode == 'A': # Plot filled contours maxval, minval = np.abs(np.amax(data)), np.abs(np.amin(data)) normmax = np.amax([maxval, minval]) norm = mpl.colors.Normalize(vmin = -normmax, vmax = normmax) plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), norm = norm, cmap = get_cmap("RdBu_r")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('m/s', fontsize = 18) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lon[::rd], lat[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 3., label = '3 m/s', coordinates = 'axes', labelpos = 'E') # *must* call draw in order to get the axis boundary used to add ticks: fig.canvas.draw() # Add the tick marks xticks = np.arange(0., 360., 30.) yticks = np.arange(-90., 100., 15.) # Label the end-points of the gridlines using the custom tick makers: ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) ax.yaxis.set_major_formatter(LATITUDE_FORMATTER) lambert_xticks(ax, xticks) lambert_yticks(ax, yticks) # Set title and figure name if mode == 'LM': plt.title('250 hPa Winds'+'\n'+'long term mean', fontsize=18) pname = 'p250_longterm.png' elif mode == 'EM': plt.title('250 hPa Winds'+'\n'+'extreme precipitation days', fontsize=18) pname = 'p250_extreme.png' elif mode == 'A': plt.title('250 hPa Winds'+'\n'+'anomaly fields', fontsize=18) pname = 'p250_anom.png' ax.set_global(); ax.gridlines(); plt.tight_layout() #plot_dir = '/mnt/a/u/sciteam/chug/Laplata_tracers/plots/dipole_assessment/' #pname = plot_dir + name + '.png' plt.savefig(pname, bbox_inches = 'tight') plt.show() def plot_500hPa_winds_geopot(lon, lat, u, v, z, mode): """ Plot filled contours overlayed with vectors Input ------- lon = lon values extracted from xarray dataset (1-D) lat = lat values extracted from xarray dataset (1-D) u = U-wind at 500 hPa, shape = lon X lat v = V-wind at 500 hPa, shape = lon X lat z = Geopotential height at 500 hPa, shape = lon X lat mode = 'A' for anomaly data, 'LM' for long term means, and 'EM' for extreme precipitation days Output -------- matplotlib figure with filled contours of geopotential height overlayed with wind vectors """ # change data and lon to cyclic coordinates u, lon_new = add_cyclic_point(u.values, coord = lon.values) v, lon_new = add_cyclic_point(v.values, coord = lon.values) z, lon = add_cyclic_point(z.values, coord = lon.values) # Create a figure fig = plt.figure(figsize = (10, 5)) # Set the GeoAxes to the PlateCarree projection ax = plt.axes(projection = ccrs.PlateCarree()) # Add coastlines ax.coastlines('50m', linewidth=0.8) # Assign data for filled contour data = z if mode == 'EM' or mode == 'LM': # Plot filled contours plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), cmap = get_cmap("viridis")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('m', fontsize = 18) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lon[::rd], lat[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 10., label = '10 m/s', coordinates = 'axes', labelpos = 'E') elif mode == 'A': # Plot filled contours maxval, minval = np.abs(np.amax(data)), np.abs(np.amin(data)) normmax = np.amax([maxval, minval]) norm = mpl.colors.Normalize(vmin = -normmax, vmax = normmax) plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), norm = norm, cmap = get_cmap("RdBu_r")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('m', fontsize = 18) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lon[::rd], lat[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 3., label = '3 m/s', coordinates = 'axes', labelpos = 'E') # *must* call draw in order to get the axis boundary used to add ticks: fig.canvas.draw() # Add the tick marks xticks = np.arange(0., 360., 30.) yticks = np.arange(-90., 100., 15.) # Label the end-points of the gridlines using the custom tick makers: ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) ax.yaxis.set_major_formatter(LATITUDE_FORMATTER) lambert_xticks(ax, xticks) lambert_yticks(ax, yticks) #Set title and figure name if mode == 'LM': plt.title('500 hPa Winds, GPH'+'\n'+'long term mean', fontsize=18) pname = 'p500_longterm.png' elif mode == 'EM': plt.title('500 hPa Winds, GPH'+'\n'+'extreme precipitation days', fontsize=18) pname = 'p500_extreme.png' elif mode == 'A': plt.title('500 hPa Winds, GPH'+'\n'+'anomaly fields', fontsize=18) pname = 'p500_anom.png' ax.set_global(); ax.gridlines(); plt.tight_layout() #plot_dir = '/mnt/a/u/sciteam/chug/Laplata_tracers/plots/dipole_assessment/' #pname = plot_dir + name + '.png' plt.savefig(pname, bbox_inches = 'tight') plt.show() def plot_850hPa(lon, lat, u, v, t, q, mode): """ Plot filled contours overlayed with contours and vectors Input ------- lon = lon values extracted from xarray dataset (1-D) lat = lat values extracted from xarray dataset (1-D) u = U-wind at 850 hPa, shape = lon X lat v = V-wind at 850 hPa, shape = lon X lat t = Temperature at 850 hPa, shape = lon X lat q = Specific humidity at 850 hPa, shape = lon X lat mode = 'A' for anomaly data, 'LM' for long term means, and 'EM' for extreme precipitation days Output -------- matplotlib figure with filled contours of temperature overlayed with contours of spec humidity and wind vectors """ # change data and lon to cyclic coordinates u, lon_new = add_cyclic_point(u.values, coord = lon.values) v, lon_new = add_cyclic_point(v.values, coord = lon.values) q, lon_new = add_cyclic_point(q.values, coord = lon.values) t, lon = add_cyclic_point(t.values, coord = lon.values) # Create a figure fig = plt.figure(figsize = (10, 5)) # Set the GeoAxes to the PlateCarree projection ax = plt.axes(projection = ccrs.PlateCarree()) # Add coastlines ax.coastlines('50m', linewidth = 0.8) # Assign data for filled contour data = t if mode == 'EM' or mode == 'LM': # Plot filled contours plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), cmap = get_cmap("viridis")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('$^{o}C$', fontsize = 18) # Plot contours plt.contour(lon, lat, q, transform = ccrs.PlateCarree(), colors = 'w') # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lon[::rd], lat[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 8., label = '8 m/s', coordinates = 'axes', labelpos = 'E') elif mode == 'A': # Plot filled contours maxval, minval = np.abs(np.amax(data)), np.abs(np.amin(data)) normmax = np.amax([maxval, minval]) norm = mpl.colors.Normalize(vmin = -normmax, vmax = normmax) plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), norm = norm, cmap = get_cmap("RdBu_r")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('$^{o}C$', fontsize = 18) # Plot contours plt.contour(lon, lat, q, transform = ccrs.PlateCarree()) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lon[::rd], lat[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 3., label = '3 m/s', coordinates = 'axes', labelpos = 'E') # *must* call draw in order to get the axis boundary used to add ticks: fig.canvas.draw() # Add the tick marks xticks = np.arange(0., 360., 30.) yticks = np.arange(-90., 100., 15.) # Label the end-points of the gridlines using the custom tick makers: ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) ax.yaxis.set_major_formatter(LATITUDE_FORMATTER) lambert_xticks(ax, xticks) lambert_yticks(ax, yticks) # Set title and figure name if mode == 'LM': plt.title('850 hPa Winds, Temp, Humidity'+'\n'+'long term mean', fontsize = 18) pname = 'p850_longterm.png' elif mode == 'EM': plt.title('850 hPa Winds, Temp, Humidity'+'\n'+'extreme precipitation days', fontsize = 18) pname = 'p850_extreme.png' elif mode == 'A': plt.title('850 hPa Winds, Temp, Humidity'+'\n'+'anomaly fields', fontsize = 18) pname = 'p850_anom.png' ax.set_global(); ax.gridlines(); plt.tight_layout() #plot_dir = '/mnt/a/u/sciteam/chug/Laplata_tracers/plots/dipole_assessment/' #pname = plot_dir + name + '.png' plt.savefig(pname, bbox_inches = 'tight') plt.show() def plot_sfc_winds_skt(lonu, latu, u, v, lont, latt, t, mode): """ Plot filled contours overlayed with contours and vectors Input ------- lonu = lon values extracted from wind dataset (1-D) latu = lat values extracted from wind dataset (1-D) u = U-wind at surface, shape = lonu X latu v = V-wind at surface, shape = lonu X latu lont = lon values extracted from skin temperature dataset (1-D) latt = lat values extracted from skin temperature dataset (1-D) t = Skin temperature, shape = lont X latt mode = 'A' for anomaly data, 'LM' for long term means, and 'EM' for extreme precipitation days Output -------- matplotlib figure with filled contours of skin temperature overlayed with wind vectors """ # change data and lon to cyclic coordinates u, lonu_new = add_cyclic_point(u.values, coord = lonu.values) v, lonu = add_cyclic_point(v.values, coord = lonu.values) t, lont = add_cyclic_point(t.values, coord = lont.values) # Create a figure fig = plt.figure(figsize=(10, 5)) # Set the GeoAxes to the PlateCarree projection ax = plt.axes(projection = ccrs.PlateCarree()) # Add coastlines ax.coastlines('50m', linewidth = 0.8) # Assign data for filled contour data = t if mode == 'EM' or mode == 'LM': # Plot filled contours plt.contourf(lont, latt, data, 20, transform = ccrs.PlateCarree(), cmap = get_cmap("viridis")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('$^{o}C$', fontsize = 18) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lonu[::rd], latu[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 5., label = '5 m/s', coordinates = 'axes', labelpos = 'E') elif mode == 'A': # Plot filled contours maxval, minval = np.abs(np.amax(data)), np.abs(np.amin(data)) normmax = np.amax([maxval, minval]) norm = mpl.colors.Normalize(vmin = -normmax, vmax = normmax) plt.contourf(lont, latt, data, 20, transform = ccrs.PlateCarree(), norm = norm, cmap = get_cmap("RdBu_r")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('$^{o}C$', fontsize = 18) # Plot the vectors and reference vector rd = 5 #regrid_delta quiver = plt.quiver(lonu[::rd], latu[::rd], u[::rd, ::rd], v[::rd, ::rd], transform = ccrs.PlateCarree(), headwidth = 5., headlength = 5.) ax.quiverkey(quiver, X = 0.9, Y = 1.03, U = 3., label = '3 m/s', coordinates = 'axes', labelpos = 'E') # *must* call draw in order to get the axis boundary used to add ticks: fig.canvas.draw() # Add the tick marks xticks = np.arange(0., 360., 30.) yticks = np.arange(-80., 80., 20.) # Label the end-points of the gridlines using the custom tick makers: ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) ax.yaxis.set_major_formatter(LATITUDE_FORMATTER) lambert_xticks(ax, xticks) lambert_yticks(ax, yticks) # Set title and figure name if mode == 'LM': plt.title('Surface Winds, Skin temp'+'\n'+'long term mean', fontsize = 18) pname = 'sfc_longterm.png' elif mode == 'EM': plt.title('Surface Winds, Skin temp'+'\n'+'extreme precipitation days', fontsize = 18) pname = 'sfc_extreme.png' elif mode == 'A': plt.title('Surface Winds, Skin temp'+'\n'+'anomaly fields', fontsize = 18) pname = 'sfc_anom.png' ax.set_global(); ax.gridlines(); plt.tight_layout() #plot_dir = '/mnt/a/u/sciteam/chug/Laplata_tracers/plots/dipole_assessment/' #pname = plot_dir + name + '.png' plt.savefig(pname, bbox_inches = 'tight') plt.show() def plot_TCWV(lon, lat, q, mode): """ Plot filled contours of total column water vapor Input ------- lon = lon values extracted from xarray dataset (1-D) lat = lat values extracted from xarray dataset (1-D) q = Total column water vapor, shape = lon X lat mode = 'A' for anomaly data, 'LM' for long term means, and 'EM' for extreme precipitation days Output -------- matplotlib figure with filled contours of total column water vapor """ # change data and lon to cyclic coordinates q, lon = add_cyclic_point(q.values, coord = lon.values) # Create a figure fig = plt.figure(figsize=(10, 5)) # Set the GeoAxes to the PlateCarree projection ax = plt.axes(projection = ccrs.PlateCarree()) # Add coastlines ax.coastlines('50m', linewidth = 0.8) # Assign data for filled contour data = q if mode == 'EM' or mode == 'LM': data[data > 80.] = 80. # Plot filled contours plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), cmap = get_cmap("viridis")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('$mm$', fontsize = 18) elif mode == 'A': maxval, minval = np.abs(np.amax(data)), np.abs(np.amin(data)) normmax = np.amax([maxval, minval]) norm = mpl.colors.Normalize(vmin = -normmax, vmax = normmax) plt.contourf(lon, lat, data, 20, transform = ccrs.PlateCarree(), norm = norm, cmap = get_cmap("RdBu_r")) # Add a color bar cbar = plt.colorbar(ax = ax, shrink = .75) cbar.ax.set_ylabel('$mm$', fontsize = 18) # *must* call draw in order to get the axis boundary used to add ticks: fig.canvas.draw() # Add the tick marks xticks = np.arange(0., 360., 30.) yticks = np.arange(-80., 80., 20.) # Label the end-points of the gridlines using the custom tick makers: ax.xaxis.set_major_formatter(LONGITUDE_FORMATTER) ax.yaxis.set_major_formatter(LATITUDE_FORMATTER) lambert_xticks(ax, xticks) lambert_yticks(ax, yticks) # Set title and figure name if mode == 'LM': plt.title('Total column water vapor'+'\n'+'long term mean', fontsize = 18) pname = 'tcwv_longterm.png' elif mode == 'EM': plt.title('Total column water vapor'+'\n'+'extreme precipitation days',fontsize = 18) pname = 'tcwv_extreme.png' elif mode == 'A': plt.title('Total column water vapor'+'\n'+'anomaly field',fontsize = 18) pname = 'tcwv_anom.png' ax.set_global(); ax.gridlines(); plt.tight_layout() #plot_dir = '/mnt/a/u/sciteam/chug/Laplata_tracers/plots/dipole_assessment/' #pname = plot_dir + name + '.png' plt.savefig(pname, bbox_inches = 'tight') plt.show() ############################### # Open datasets and plot data # # Set path to netcdf files path = 'atms597_proj3/data/' # First let's plot the anomalies # 250 hPa anomalies xrdata = xr.open_dataset(path+'pressure_anomaly.nc') lat = xrdata['lat'] lon = xrdata['lon'] u = xrdata['u_wind_250'] v = xrdata['v_wind_250'] xrdata = xr.open_dataset('atms597_proj3/data/pressure_anomaly_new.nc') wspd = xrdata['wind_spd_250'] plot_250hPa_winds(lon, lat, u, v, wspd, 'A') # 500 hPa anomalies u = xrdata['u_wind_500'] v = xrdata['v_wind_500'] z = xrdata['height_500'] plot_500hPa_winds_geopot(lon, lat, u, v, z, 'A') # 850 hPa anomalies u = xrdata['u_wind_850'] v = xrdata['v_wind_850'] t = xrdata['temp_850'] q = xrdata['q_850'] plot_850hPa(lon, lat, u, v, t, q, 'A') # Next we move to surface anomalies xrdata = xr.open_dataset(path+'surface_anomaly.nc') latu = xrdata['lat'] lonu = xrdata['lon'] u = xrdata['sfc_u_wind_surface'] v = xrdata['sfc_v_wind_surface'] xrdata = xr.open_dataset(path+'surface_gauss_anomaly.nc') t = xrdata['skin_temp_surface']-273 #convert to Celcius latt = xrdata['lat'] lont = xrdata['lon'] plot_sfc_winds_skt(lonu, latu, u, v, lont, latt, t, 'A') # TCWV anomalies xrdata = xr.open_dataset(path+'total_column_anomaly.nc') lat = xrdata['lat'] lon = xrdata['lon'] q = xrdata['total_column_q'] plot_TCWV(lon, lat, q, 'A') # Next we plot the long term means # 250 hPa long term means xrdata = xr.open_dataset(path+'pressure_long_term_mean.nc') lat = xrdata['lat'] lon = xrdata['lon'] u = xrdata['u_wind_250'] v = xrdata['v_wind_250'] wspd = np.sqrt(np.multiply(u, u) + np.multiply(v, v)) plot_250hPa_winds(lon, lat, u, v, wspd, 'LM') # 500 hPa long term means u = xrdata['u_wind_500'] v = xrdata['v_wind_500'] z = xrdata['height_500'] plot_500hPa_winds_geopot(lon, lat, u, v, z, 'LM') # 850 hPa long term means u = xrdata['u_wind_850'] v = xrdata['v_wind_850'] t = xrdata['temp_850'] q = xrdata['q_850'] plot_850hPa(lon, lat, u, v, t, q, 'LM') # surface long term means xrdata = xr.open_dataset(path+'surface_long_term_mean.nc') latu = xrdata['lat'] lonu = xrdata['lon'] u = xrdata['sfc_u_wind_surface'] v = xrdata['sfc_v_wind_surface'] xrdata = xr.open_dataset(path+'surface_gauss_long_term_mean.nc') t = xrdata['skin_temp_surface'] latt = xrdata['lat'] lont = xrdata['lon'] plot_sfc_winds_skt(lonu, latu, u, v, lont, latt, t, 'LM') # TCWV long term means xrdata = xr.open_dataset(path+'total_column_long_term_mean.nc') lat = xrdata['lat'] lon = xrdata['lon'] q = xrdata['total_column_q'] plot_TCWV(lon, lat, q, 'LM') # Finally we plot the mean of extreme precipitation days # 250 hPa extreme means xrdata = xr.open_dataset(path+'pressure_extreme_precip_mean.nc') lat = xrdata['lat'] lon = xrdata['lon'] u = xrdata['u_wind_250'] v = xrdata['v_wind_250'] wspd = np.sqrt(np.multiply(u, u) + np.multiply(v, v)) plot_250hPa_winds(lon, lat, u, v, wspd, 'EM') # 500 hPa extreme means u = xrdata['u_wind_500'] v = xrdata['v_wind_500'] z = xrdata['height_500'] plot_500hPa_winds_geopot(lon, lat, u, v, z, 'EM') # 850 hPa extreme means u = xrdata['u_wind_850'] v = xrdata['v_wind_850'] t = xrdata['temp_850'] q = xrdata['q_850'] plot_850hPa(lon, lat, u, v, t, q, 'EM') # surface extreme means xrdata = xr.open_dataset(path+'surface_extreme_precip_mean.nc') latu = xrdata['lat'] lonu = xrdata['lon'] u = xrdata['sfc_u_wind_surface'] v = xrdata['sfc_v_wind_surface'] xrdata = xr.open_dataset(path+'surface_gauss_extreme_precip_mean.nc') t = xrdata['skin_temp_surface']-273 latt = xrdata['lat'] lont = xrdata['lon'] plot_sfc_winds_skt(lonu, latu, u, v, lont, latt, t, 'EM') # TCWV extreme means xrdata = xr.open_dataset(path+'total_column_extreme_precip_mean.nc') lat = xrdata['lat'] lon = xrdata['lon'] q = xrdata['total_column_q'] plot_TCWV(lon, lat, q, 'EM')

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Python

vsm/extensions/corpusbuilders/__init__.py

inpho/vsm

d5fc930ccc95f275e10e151c8f05db2c05aba01f

[ "MIT" ]

31

2015-01-30T20:09:48.000Z

2021-08-13T12:57:49.000Z

vsm/extensions/corpusbuilders/__init__.py

inpho/vsm

d5fc930ccc95f275e10e151c8f05db2c05aba01f

[ "MIT" ]

80

2015-01-30T19:08:40.000Z

2019-11-02T20:15:56.000Z

vsm/extensions/corpusbuilders/__init__.py

inpho/vsm

d5fc930ccc95f275e10e151c8f05db2c05aba01f

[ "MIT" ]

10

2015-09-18T01:52:23.000Z

2019-07-14T08:22:06.000Z

""" [Documentation about the corpusbuilders extension] """ from __future__ import absolute_import from .corpusbuilders import *

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py

Python

testproject/test.py

nilakshdas/jobby

d156e009b86efe621c4014cca97b01863ddc7774

[ "MIT" ]

null

testproject/test.py

nilakshdas/jobby

d156e009b86efe621c4014cca97b01863ddc7774

[ "MIT" ]

null

testproject/test.py

nilakshdas/jobby

d156e009b86efe621c4014cca97b01863ddc7774

[ "MIT" ]

null

from __future__ import print_function import time from jobby import JobbyJob with JobbyJob(dict()) as job: print(time.time())

14.777778

37

0.759398

19

133

5.052632

0.631579

0

0.165414

133

8

38

16.625

0.864865

0

1

0

true

0

0.6

0

0.6

0.4

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4e631b29436789cc1f071e150cf015c0f1c34347

29

py

Python

src/rocket/stage2/src/trajectory/__init__.py

proballstar/atlas

6e4eb36b7e43e750dbb281c2051439198c82f296

[ "MIT" ]

null

src/rocket/stage2/src/trajectory/__init__.py

proballstar/atlas

6e4eb36b7e43e750dbb281c2051439198c82f296

[ "MIT" ]

null

src/rocket/stage2/src/trajectory/__init__.py

proballstar/atlas

6e4eb36b7e43e750dbb281c2051439198c82f296

[ "MIT" ]

null

from . import trajectory_calc

29

0.862069

4

29

6

1

0

0.103448

29

1

29

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

4ea41f1cfae3e0e482def88f3051cdd115473a14

1,162

py

Python

myblog/forms.py

kaka4NERV/my-blog

5021ef500b0f2d280f2bb824ba22b2336fd09367

[ "MIT" ]

null

myblog/forms.py

kaka4NERV/my-blog

5021ef500b0f2d280f2bb824ba22b2336fd09367

[ "MIT" ]

null

myblog/forms.py

kaka4NERV/my-blog

5021ef500b0f2d280f2bb824ba22b2336fd09367

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import StringField, PasswordField, BooleanField, SubmitField, TextAreaField from wtforms.validators import DataRequired, Length class LoginForm(FlaskForm): username = StringField('Username', validators=[DataRequired(), Length(5, 20)]) password = PasswordField('Password', validators=[DataRequired(), Length(5, 20)]) remember = BooleanField('Remember me') submit = SubmitField('Log in') class RegisterForm(FlaskForm): username = StringField('Username', validators=[DataRequired(), Length(5, 20)]) password = PasswordField('Password', validators=[DataRequired(), Length(5, 20)]) submit = SubmitField('Register') class CreateForm(FlaskForm): title = StringField('Title', validators=[DataRequired(), Length(5, 70)]) body = TextAreaField('Body', validators=[DataRequired()]) submit = SubmitField('Create') class UpdateForm(FlaskForm): title = StringField('Title', validators=[DataRequired(), Length(5, 70)]) body = TextAreaField('Body', validators=[DataRequired()]) submit = SubmitField('Update') class DeleteForm(FlaskForm): submit = SubmitField('Delete')

36.3125

88

0.725473

112

1,162

7.517857

0.321429

0.209026

0.199525

0.206651

0.589074

0

0.017893

0.134251

1,162

31

89

37.483871

0.819085

0

0.363636

0

0.080034

0

1

0

false

0.136364

0

1

0

null

1

0

null

0

1

0

1

0

5

090bf6cb918945a32dc2489c3aad8b96c8158111

84

py

Python

codeChef/practice/easy/muffins3.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

25

2015-01-21T16:39:18.000Z

2021-05-24T07:01:24.000Z

codeChef/practice/easy/muffins3.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

2

2020-09-30T19:39:36.000Z

2020-10-01T17:15:16.000Z

codeChef/practice/easy/muffins3.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

15

2015-01-21T16:39:27.000Z

2020-10-01T17:00:22.000Z

import sys print "\n".join(str(int(i) / 2 + 1) for i in sys.stdin.readlines()[1:])

21

71

0.619048

17

84

3.058824

0.823529

0

0.042254

0.154762

84

3

72

28

0.690141

0

0.02381

0

null

0

0.5

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

093bb0f3b3b32fbfcbd3f7ae851dbe3109a2278d

9,146

py

Python

1525. Number of Good Ways to Split a String.py

Nriver/leetcode

e0b30fae8a31513172fcbd13d67eded8922ba785

[ "MIT" ]

null

1525. Number of Good Ways to Split a String.py

Nriver/leetcode

e0b30fae8a31513172fcbd13d67eded8922ba785

[ "MIT" ]

null

1525. Number of Good Ways to Split a String.py

Nriver/leetcode

e0b30fae8a31513172fcbd13d67eded8922ba785

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Author: zengjq # @Date: 2020-10-21 16:22:29 # @Last Modified by: zengjq # @Last Modified time: 2020-10-21 16:49:17 import collections class Solution: # 超时 def numSplits1(self, s: str) -> int: res = 0 for x in range(1,len(s)): if len(collections.Counter(s[:x]))==len(collections.Counter(s[x:])): res += 1 return res # 别人的, 上面的思路还差了一口气 # 不过这个解法并不好 # 58 mem 8 def numSplits(self, s: str) -> int: res = 0 s1 = collections.Counter('') s2 = collections.Counter(s) for x in s: s1[x] += 1 s2[x] -= 1 if s2[x] == 0: s2.pop(x) if len(s1) == len(s2): res += 1 return res s = Solution() print(s.numSplits('acbadbaada')) print(s.numSplits('aacaba')) print(s.numSplits('aaaaa')) # print(s.numSplits("feggbadfedggfgfbaccbcgbcfffecgdebcccedbeeeebagdbfbccdbddaccdbafbacgfeeecgdcgbceddfbgefecdcaefccbgfcegfaaegcefagadbfbebgadbbadaaeaafdaacbfacefcabdgfaeecbfdgaadaegababgfecgabcbgdbefgdddebbbbbeeceefaecdegacgfgeegbcdcfbaaaedafdgfbdggddfdgadgcebfefcfgdeabcebebffbageacbgfdagbefcbceeeeegdcddbbacccafdcfbfffdbbebgdfceebeaadccfcfaabaecfadbebebgggeddebbcbffgcddafgdfaeccceafcbegdgcgfcedaaggdfedbfeffcgeafdgfccaeeccdeabdbecbaefcacfegbfaaefdbdfebgbefgeecgfebbdacddagabefbabdfbfccafbgfcbedafedgafgbefbadfggfdeacddfebbffeabcbfgacacfccbceagcabfcagcgdfadgbfdfeeffbefbfecbgaefddgfgeabagcefdbcbccceddggcdfaaggfabgccafbeeabdbgaadfbdeeccddcdebdecfbggcbaafgeeffbcfeabccbbegfecgfdcfcdedbegegbafgcecbbgcegeddebcgdegegffefgggccggccaegaffabgfbcgafgeddaccedbddggfgeefcbbfccegaefadaacfgdgffafbcaaefgadgfeaabfgcgddabgfbabccefgdbbfefdbccbgecedafceadaagfffgccafbbadaafagbeaebdccgbcffaccfagcefdbdfgbdagbdfdgacceebfabeccaadcfbdgdgddddccdaeeabdadebgadfffabcdfcceccdgbedgaeabcgfaddfbegbfgfgbdeceeebgdcdaaabcbbbdfgabgbgbdaffaedcbgcgfbfdbfadfbbeecdfebaadffbcecbdfgegggaeagbdfceeefgfdfcgebeegcfcfacedffdedggafgbgcfdaefeaggadffgcaadbgbdaccdbcfacacfdbaefefabfbbgffddefcbbfadafagebbgcadaefgegfbgafbcfbcdcebebbaddgaebbbabcbeegecbcggaabeecgcedcgfbbfegfceeadagdggfeeecccceggabebcfaaabeccgdgaagagccedgaaaacaccddfccbddddeebeeaccebcedgdefgccabfgbecafefcaafafbfffbbffbcagbfecdceedecebgcbgbfdddbabebgdbfcgcgbaabfbebafacfbfcacdcfaffdabgfabaddfecccgbfcaddgbbeaafggcbdfabagfbaeaafebgbgbeaefgbbeffgggegeeeedbgaebegcbdbeedaabdgdegacfdfeeccaeebbebecddddccaegbdcbegdbadccccefeeeceeafcebebbbabdceddbdgcaaaefgbggcaggcbddecfdgbdfedgcgfgfcbeebcbdcdeaffcbffbafdagecdcbgcefcbagafdcdegcdeaabcafabbbbbeccgbfeagbdgfbcfcbfbbaaegdcecbgdeeaaaddbagbeagccbaaddffadeeafcedcgaccdbfdfbbfffabgeacegbefefbdbfcbabcecbdbdbdecbcbcbeccabcbfbafcgbfbefacfbedfecfgdacgdgceaebgadfeeaccgfcceabbfdaaeagbfadecfafagaaecccbacedgdffcbgebeabaabgeccecaacgaefgcgffbedaabbbaabeadbbfaagcgdfgcageffdegegfcabddddgaafbgaafgacgdecggbcdfcfccfccfeggdgadcebdbdbffcfcgefadcdafaceddbegabafaabbgffeddbdccefgadfgfddeeafbgfbddggbccdddfbcffdadedbfaeeaffgfgcdebaaafdegfefaaedbbageggaecaaadfgbeaeceabaebdefgdcgfcbcgbaceggccefgaggeccgbafgcaagabdaacfeeaacgbeabgfaecfggbddcaaeaffegdfdfbbfdbcgdfbbaaabedacbbbgfcdcagbgfedaedeffbbcadgagagbbeceafeffcgcefgfecffeggdecggeafbaedbebabbgadgaceacbbeeeegadefaebbgacgafbgfgagccccaacdgcdagagcbcddadbceadgaaebffdbdfeeeebdaedaedbggefaffgcbccaffbgdgaaacdgcbbdagfbccdadcfeecegdfbffbcfccggbbgddcgfcbgdgfcgcdgfcdgdabfcbeagdebgabgbgeggedgbacffcefefffcdceccaecffbgfdbedcddbafbefdfafebedbbfbfbfefacbeceggcfcafffcafddfcdeedcacgeaacddfabcdcadfbagbfadegbedbfbfaaecgcfgbddcgfggegcfcefdgefdeddaeaddagacefbfbdeebeggabebafbggafdaddbcfbggabcdaabcfbbdbfeagacaabddcfcffcegaabbaffbfbbcbbggcecdfggdcdbcfdefcgccaedcdgceaeccfcbfaddggdbgbgffdfcdgdbeecffbddeggecgfdfgcfebcdabedgbaegbfccceegcbddbeabeeaedddeaegcbeecgbaedaegfeddfccegacdffbfefcabcdcgdcbfeebddfdbgdgabccfbbecdfddbeceecedfabbebccbddggdcedbfedeeebgafeagddefebgbcbccfcgfdaaafbbggdeaabedgdebedacffeafeabgbadafaeeaddfgcdefcaccacffecefgeddcbebcbfcdcfffecbffagcgdaeadbbfadcbgfdefefaagcdgacfbaffcdgaffcacbfeebebafgagdgfeecafbcfbedbdabaggcbegccbadaeefegbabgddccbagceeafcgcaebdddgbgcadeaccgdeeddgdbeagddgbdgbgfcggfbebbcddcagecfgegdacecdeedffebafgagfgffebbebffabgegcagggacdddcfgdabdfefeggeefaeeccaegddbbefedfdegfcgfbbefgcffbdgcfdaddaefafbceedefgffcaacbeadfggacaecacdabadcbcccfagagdbafgadadffadbcfffacabadeeeecaedgfaecfbaebdcddfbeegdfabfbddacefcegafgaefgaebgceddabdcagbacfbeffdebafacdffdgcdffedeaagfcdegdffadacdbeffefffbcabgfaagaeedecdgffgdcccdfbdcfbgccbfaefdcafagcafgfbgcgbfdcgcbfaabbfgbffbfeggcbcefdbebcggefafefaedcbeedgeccafbeagffaebecadeebfbfbebdcfdecgfgaaefebfbabdceecfeabecgegaadcdbebfbcdcegagedcccbbdbgddgeagaccafbgbgaaefcgecbfdgaeddcfgcecaegabcgedbfccefeaeecdacaccfdcfaaddebadbaeceegdgeafbggfgefcdbecebbbcgfaeccgdcegfbfcacfaeggadbfcfbedcfgggefffafecdcdefecdefegcfdgbcbefbagcfbebgdgfbgcbfaeagffdfbdcefecegabecfffagdaddcaaeeefgcbegcgcfdbdegfbdegfbdfdedbbddcafgbcddbdbdadagadfebfeaaceafdbggbfabebgbfdagcccggeeebedacddgegadcebaefeggbaagbacafgbfgabfgdeccbdfdbabfggdeadbcgeeacdddgedddfegbebegbadeffaecbfedfafddccfaeeagcffadfgaaeecbbaaddgfcggbbebdgebacegcbgebccafgacfeadfccgeegdgabecgagffedeadfbbebbcfcgfddebgebbbgbggagdabgacgeggaffeeegabgaggadfdfddcaabcgdadbdfbfbaedfebgeagccfgaaegcffcgfgedfcadabafaebbaeabbfbbeggfbebbgacbfdddcfagcadagdcegdaaacgcgccgbdeaggdcdbecffggfdeebcbffbdabdbaeebggbdbadgfabaafcedbdebgdbcecgacbcdddcgfeedabfbcgdgccfabfgdbcdgcadcdcaeebeeebecegcddbggefbcagebdcdbbbfcbgdcgggecdceabaebecbdceefabbcgfcfecdabfecgbfbfegfdadggcgagdggababdaedabecbebafbccadfdgbgcfbabbffeabgacgcbgbbcfdcfagfefegeeaeaffafcfccebfeadcaeeggacgbddefcfcfecgegbbfdfabgbfegbebcfgfefeaddgdbaffdababfgbcbfbfbegdfacgbfcbfaaaaabaegeeaafbbebfafcbgffccfebcgffgaeecdfebdfdafbfdadcagbbbagcdfedfecfbdgbbeedcfdfaacbdgcagbbaccfabbdbbedfgdgbdgddagbedgafddedgfcdfacdbccbbcbacbabafgbbgbcegegdagabfdfgbbgcaefbdbdgaadaafebegaggafadfefbdcadcddaecdaeeffbddfgeaabcegcecbaceeafdcgcdceccccddecgeddcebggcbbfebgafbbaacgaefegfbegaagafgcbebacdabebfcbgfebeggddfdbde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234.512821

8,249

0.950251

125

9,146

69.528

0.432

0.008284

0.006904

0.002301

0.008745

0.003452

0

0.005545

0.033785

9,146

39

8,249

234.512821

0.977934

0.92084

0

0.25

0

0.029412

0

1

0

1

0.083333

false

0

0.041667

0

0.25

0.125

0

1

null

0

1

0

1

0

null

1

0

5

0959b6e48c7d735c236a0084789c3d308942cacc

73

py

Python

utils/__init__.py

atlashugs/dqn_pytorch

131295448e9a993fd5e0a3a509bd76204f644396

[ "MIT" ]

null

utils/__init__.py

atlashugs/dqn_pytorch

131295448e9a993fd5e0a3a509bd76204f644396

[ "MIT" ]

null

utils/__init__.py

atlashugs/dqn_pytorch

131295448e9a993fd5e0a3a509bd76204f644396

[ "MIT" ]

null

from .utils import set_requires_grad, create_exp_logfile, performance_avg

73

0.890411

11

73

5.454545

1

0

0.068493

73

1

73

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

11ad07b33bbd8e296a06cb7a7b887b52b1448e45

180

py

Python

app/PyDrive/__init__.py

eduardo98m/Tree-Finder

50cf7a7391c487ef0f9e850799f800efc09f7294

[ "MIT" ]

1

2021-09-21T01:25:26.000Z

app/PyDrive/__init__.py

eduardo98m/Tree-Finder

50cf7a7391c487ef0f9e850799f800efc09f7294

[ "MIT" ]

1

2022-01-27T14:11:12.000Z

app/PyDrive/__init__.py

eduardo98m/Tree-Finder

50cf7a7391c487ef0f9e850799f800efc09f7294

[ "MIT" ]

null

#from pydrive_functions import write_trees_csvs """ write_trees_csvs() df = get_trees_dataframes() df2 = get_image_ids(df, ids_file.images_ids) df2.to_csv('result.csv') """

22.5

48

0.75

28

180

4.392857

0.642857

0.162602

0.227642

0

0.012658

0.122222

180

8

49

22.5

0.765823

0.905556

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

11b3a5e2d44830b589bfce4d9f1e4ca790071f36

213

py

Python

answers/hackerrank/Raw Input.py

FeiZhan/Algo-Collection

708c4a38112e0b381864809788b9e44ac5ae4d05

[ "MIT" ]

3

2015-09-04T21:32:31.000Z

2020-12-06T00:37:32.000Z

answers/hackerrank/Raw Input.py

FeiZhan/Algo-Collection

708c4a38112e0b381864809788b9e44ac5ae4d05

[ "MIT" ]

null

answers/hackerrank/Raw Input.py

FeiZhan/Algo-Collection

708c4a38112e0b381864809788b9e44ac5ae4d05

[ "MIT" ]

null

#@result Submitted a few seconds ago • Score: 10.00 Status: Accepted Test Case #0: 0.01s Test Case #1: 0s Test Case #2: 0s # Enter your code here. Read input from STDIN. Print output to STDOUT print raw_input()

35.5

122

0.7277

40

213

3.875

0.8

0.154839

0

0.069364

0.187793

213

5

123

42.6

0.820809

0.873239

0

0.2

0

null

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

11db112c6507b55a494b0c2bfbd98c7425d3426c

187

py

Python

dutil/jupyter/_jupyter.py

mysterious-ben/dutil

bacfba8982b8562ea6d943ac1e9c74f0fba75a7e

[ "Apache-2.0" ]

null

dutil/jupyter/_jupyter.py

mysterious-ben/dutil

bacfba8982b8562ea6d943ac1e9c74f0fba75a7e

[ "Apache-2.0" ]

6

2020-11-25T12:32:57.000Z

2020-12-28T04:38:15.000Z

dutil/jupyter/_jupyter.py

mysterious-ben/dutil

bacfba8982b8562ea6d943ac1e9c74f0fba75a7e

[ "Apache-2.0" ]

null

from IPython.display import display from dutil.transform import ht def dht(arr, n: int = 2) -> None: """Display first and last (top and bottom) entries""" display(ht(arr, n))

18.7

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0.203209

187

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58

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1

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null

0

1

0

1

0

1

0

5

11ddab5bf1926ee324722f85b90689af3a28097d

120

py

Python

app/home/views.py

zhouzhuowei/movie_project

282cb3501ef5da0cee0700f195e09e63685d8ec0

[ "Apache-2.0" ]

null

app/home/views.py

zhouzhuowei/movie_project

282cb3501ef5da0cee0700f195e09e63685d8ec0

[ "Apache-2.0" ]

null

app/home/views.py

zhouzhuowei/movie_project

282cb3501ef5da0cee0700f195e09e63685d8ec0

[ "Apache-2.0" ]

null

#coding:utf8 from . import home @home.route("/") def index(): return "<h1 style='color:green'>this is home</h1>"

13.333333

54

0.633333

18

120

4.222222

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0.03

0.166667

120

8

55

15

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0.396226

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0.25

true

0

0.25

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0

1

0

null

0

1

0

1

0

5

11eadfb2be5a1b8deb1b22d358de50179bcef4fa

116

py

Python

mozumder/template/components/__init__.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

1

2020-06-13T06:12:16.000Z

mozumder/template/components/__init__.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

4

2020-06-18T03:53:29.000Z

2021-06-09T17:56:12.000Z

mozumder/template/components/__init__.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

null

from .component import code, Component from .components import Components from .raw import raw from .div import div

23.2

38

0.810345

17

116

5.529412

0.411765

0

0.146552

116

4

39

29

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true

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null

0

1

0

1

0

1

0

5

ee9cd8af90360348f0c21f560a9403b1ca579459

179

py

Python

apps/puzzles/admin.py

madjaqk/puzzle_master_v2

e50b0f02abbf32aebe9583152bd9a5b43f5da7d7

[ "MIT" ]

null

apps/puzzles/admin.py

madjaqk/puzzle_master_v2

e50b0f02abbf32aebe9583152bd9a5b43f5da7d7

[ "MIT" ]

8

2020-02-07T04:11:07.000Z

2022-02-10T07:04:57.000Z

apps/puzzles/admin.py

madjaqk/puzzle_master_v2

e50b0f02abbf32aebe9583152bd9a5b43f5da7d7

[ "MIT" ]

null

from django.contrib import admin from .models import PuzzleSet, Puzzle, PuzzleAnswer admin.site.register(Puzzle) admin.site.register(PuzzleSet) admin.site.register(PuzzleAnswer)

25.571429

51

0.832402

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179

6.478261

0.478261

0.181208

0.342282

0

0.078212

179

7

52

25.571429

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0

1

0

true

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null

0

1

0

1

0

null

0

1

0

1

0

5

ee9d02a183cd846bc680679ffaff406bc4497237

241

py

Python

makmal/admin.py

ParmenidesSartre/Makmal-Record-System

f121e5b62899b5a084bbd62f8b7132dca5c72691

[ "MIT" ]

null

makmal/admin.py

ParmenidesSartre/Makmal-Record-System

f121e5b62899b5a084bbd62f8b7132dca5c72691

[ "MIT" ]

null

makmal/admin.py

ParmenidesSartre/Makmal-Record-System

f121e5b62899b5a084bbd62f8b7132dca5c72691

[ "MIT" ]

null

from django.contrib import admin from .models import Report @admin.register(Report) class ReportAdmin(admin.ModelAdmin): list_display = ['project_name','contractor_name', 'done_on'] search_fields = ['project_name','contractor_name']

34.428571

64

0.771784

30

241

5.966667

0.666667

0.122905

0.234637

0.27933

0

0.107884

241

7

65

34.428571

0.832558

0

0.252066

0

1

0

false

0

0.333333

0

0.833333

0

null

0

1

0

1

0

null

0

1

0

1

0

5

eec24f4f728e76d4c2f32efa18d811ca23845931

111

py

Python

bot.py

ruberVulpes/a-discord-bot

0996a39b01917bf4f1a9b2a33ca46033ca2c9eb5

[ "MIT" ]

null

bot.py

ruberVulpes/a-discord-bot

0996a39b01917bf4f1a9b2a33ca46033ca2c9eb5

[ "MIT" ]

2

2021-02-22T05:08:30.000Z

2021-04-06T20:29:39.000Z

bot.py

ruberVulpes/a-discord-bot

0996a39b01917bf4f1a9b2a33ca46033ca2c9eb5

[ "MIT" ]

null

from bot import client from env import discord_token if __name__ == '__main__': client.run(discord_token)

18.5

29

0.765766

16

111

4.6875

0.6875

0.32

0

0.162162

111

5

30

22.2

0.806452

0

0.072072

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

eee40af86edb02a1603fc38dde4c32dda368fc54

299

py

Python

accounts/admin.py

devmedtz/sogea

54cf257856cae451ad87e2396b8e44a34c0c6daf

[ "MIT" ]

3

2021-04-08T12:50:40.000Z

2021-05-09T07:36:52.000Z

accounts/admin.py

devmedtz/sogea

54cf257856cae451ad87e2396b8e44a34c0c6daf

[ "MIT" ]

5

2021-06-05T00:07:57.000Z

2022-03-12T01:00:20.000Z

accounts/admin.py

devmedtz/sogea

54cf257856cae451ad87e2396b8e44a34c0c6daf

[ "MIT" ]

2

2021-04-07T15:17:46.000Z

2021-05-09T06:29:57.000Z

from django.contrib import admin from django.contrib.auth.admin import UserAdmin as BaseUserAdmin from django.contrib.auth.models import Group from . import forms from . models import CustomUser, Profile # Register the new UserAdmin... admin.site.register(CustomUser) admin.site.register(Profile)

27.181818

64

0.816054

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299

5.95122

0.439024

0.122951

0.209016

0.172131

0

0.110368

299

10

65

29.9

0.917293

0.09699

0

1

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true

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0.714286

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null

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1

0

null

0

1

0

1

0

1

0

5

e11651292bb41cb3e4a196b410d59da0b224bbed

180

py

Python

adminlte/views/__init__.py

riffy/gta-adminlte-django

cc3efd382aa7ad3acb2828e7c7038a8146426e9d

[ "MIT" ]

2

2021-05-28T06:45:04.000Z

2022-03-26T18:45:50.000Z

adminlte/views/__init__.py

riffy/gta-adminlte-django

cc3efd382aa7ad3acb2828e7c7038a8146426e9d

[ "MIT" ]

2

2021-05-27T08:14:37.000Z

2021-05-27T15:42:04.000Z

adminlte/views/__init__.py

riffy/gta-adminlte-django

cc3efd382aa7ad3acb2828e7c7038a8146426e9d

[ "MIT" ]

null

from .index import index from .dashboard import dashboard from .player_list import player_list from .player_info import player_info from .server_statistics import server_statistics

36

48

0.866667

26

180

5.769231

0.346154

0.133333

0

0.105556

180

5

48

36

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1

0

true

0

1

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

e11e386e4f90322a1d63e6c01faf87cb100eab96

69

py

Python

src/__init.py

asepscareer/cnnindonesia-api

81811203548d1aad9435e1a4751d35576bebc143

[ "Apache-2.0" ]

1

2022-03-20T08:00:38.000Z

src/__init.py

asepscareer/cnnindonesia-api

81811203548d1aad9435e1a4751d35576bebc143

[ "Apache-2.0" ]

null

src/__init.py

asepscareer/cnnindonesia-api

81811203548d1aad9435e1a4751d35576bebc143

[ "Apache-2.0" ]

null

from .base import GetData from .utils import parse, headers, base_url

34.5

43

0.811594

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69

5

0.727273

0

0.130435

69

2

43

34.5

0.916667

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true

0

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1

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1

0

null

0

1

0

1

0

1

0

5

0100d037b53fb4705c1f95b329350b7af5f63d92

8

py

Python

.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_absolute_error/main2.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

null

.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_absolute_error/main2.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

5

2021-04-08T22:02:15.000Z

2022-02-10T14:53:45.000Z

.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_absolute_error/main2.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

null

x = 103

4

7

0.5

2

8

2

1

0

0.6

0.375

8

1

8

0.2

0

1

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false

0

1

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null

0

1

0

1

0

1

0

null

0

5

0121a309aee84342b0c11d6c28a1b0d3428f8c34

38

py

Python

conjureup/controllers/juju/clouds/common.py

iMichka/conjure-up

8e4599e6f58b52163384150d8d71e7802462d126

[ "MIT" ]

1

2019-06-26T23:39:13.000Z

conjureup/controllers/juju/clouds/common.py

iMichka/conjure-up

8e4599e6f58b52163384150d8d71e7802462d126

[ "MIT" ]

null

conjureup/controllers/juju/clouds/common.py

iMichka/conjure-up

8e4599e6f58b52163384150d8d71e7802462d126

[ "MIT" ]

1

2020-10-05T14:42:31.000Z

class BaseCloudController: pass

7.6

26

0.736842

3

38

9.333333

1

0

0.236842

38

4

27

9.5

0.965517

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1

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true

0.5

0

0.5

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1

0

null

0

1

0

null

0

1

0

5

012814f7e74de219ea4ae2201ad5b9fddc5f39ac

450

py

Python

geonet/tests.py

bbengfort/kahu

57a2ba417d545a57a987b3620e46e56f023134d6

[ "MIT" ]

1

2018-08-27T10:07:06.000Z

geonet/tests.py

bbengfort/kahu

57a2ba417d545a57a987b3620e46e56f023134d6

[ "MIT" ]

22

2018-06-09T14:16:36.000Z

2018-06-15T10:56:58.000Z

geonet/tests.py

bbengfort/kahu

57a2ba417d545a57a987b3620e46e56f023134d6

[ "MIT" ]

null

# geonet.tests # Test Cases for the geonet app # # Author: Benjamin Bengfort <benjamin@bengfort.com> # Created: Mon Jun 11 08:10:28 2018 -0400 # # ID: tests.py [] benjamin@bengfort.com $ """ Test Cases for the geonet app """ ########################################################################## ## Imports ########################################################################## from django.test import TestCase # Create your tests here.

22.5

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45

450

4.688889

0.666667

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0.113744

0.14218

0.227488

0

0.040609

0.124444

450

19

75

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0

1

0

true

0

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1

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null

1

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1

0

null

0

1

0

1

0

1

0

5

01504092bc68b766c3ea753454d86ccb90b45033

74

py

Python

Solutions/Python/No zeros for heros(8 kyu).py

collenirwin/Codewars-Solutions

14bad3878d3fc37c7e73cbaaaa24cd28f759ce3b

[ "MIT" ]

null

Solutions/Python/No zeros for heros(8 kyu).py

collenirwin/Codewars-Solutions

14bad3878d3fc37c7e73cbaaaa24cd28f759ce3b

[ "MIT" ]

null

Solutions/Python/No zeros for heros(8 kyu).py

collenirwin/Codewars-Solutions

14bad3878d3fc37c7e73cbaaaa24cd28f759ce3b

[ "MIT" ]

null

def no_boring_zeros(n): return int(str(n).strip("0")) if n != 0 else n

37

50

0.635135

16

74

2.8125

0.75

0

0.032787

0.175676

74

2

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37

0.704918

0

0.013333

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1

0.5

false

0

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1

0

1

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null

0

1

0

null

0

1

0

1

0

5

015b386dca0de94100bb74f9f968da406871608d

7,305

py

Python

z2/part2/interactive/jm/random_fuzzy_arrows_1/609933792.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part2/interactive/jm/random_fuzzy_arrows_1/609933792.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part2/interactive/jm/random_fuzzy_arrows_1/609933792.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 609933792 """ """ random actions, total chaos """ board = gamma_new(8, 5, 5, 9) assert board is not None assert gamma_move(board, 2, 0, 4) == 1 assert gamma_move(board, 2, 4, 4) == 1 assert gamma_move(board, 3, 1, 3) == 1 assert gamma_move(board, 3, 1, 2) == 1 board437283538 = gamma_board(board) assert board437283538 is not None assert board437283538 == ("2...2...\n" ".3......\n" ".3......\n" "........\n" "........\n") del board437283538 board437283538 = None assert gamma_move(board, 4, 2, 6) == 0 assert gamma_move(board, 4, 3, 4) == 1 assert gamma_busy_fields(board, 4) == 1 assert gamma_move(board, 5, 1, 3) == 0 assert gamma_golden_possible(board, 5) == 1 assert gamma_move(board, 1, 0, 4) == 0 assert gamma_move(board, 1, 4, 0) == 1 assert gamma_move(board, 2, 3, 0) == 1 assert gamma_move(board, 2, 7, 2) == 1 assert gamma_free_fields(board, 2) == 32 assert gamma_move(board, 3, 1, 4) == 1 board485125495 = gamma_board(board) assert board485125495 is not None assert board485125495 == ("23.42...\n" ".3......\n" ".3.....2\n" "........\n" "...21...\n") del board485125495 board485125495 = None assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 5, 1, 7) == 0 assert gamma_move(board, 5, 3, 3) == 1 assert gamma_free_fields(board, 5) == 30 assert gamma_move(board, 1, 4, 5) == 0 assert gamma_move(board, 1, 6, 2) == 1 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 1, 5) == 0 assert gamma_move(board, 2, 3, 4) == 0 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_move(board, 5, 0, 0) == 1 assert gamma_move(board, 5, 2, 4) == 1 assert gamma_move(board, 1, 3, 3) == 0 board786131318 = gamma_board(board) assert board786131318 is not None assert board786131318 == ("23542...\n" ".3.5....\n" ".3....12\n" "........\n" "5..21...\n") del board786131318 board786131318 = None assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 3, 0) == 0 assert gamma_move(board, 3, 3, 1) == 1 assert gamma_move(board, 4, 1, 4) == 0 assert gamma_move(board, 4, 1, 1) == 1 assert gamma_move(board, 5, 1, 5) == 0 assert gamma_move(board, 5, 3, 1) == 0 assert gamma_busy_fields(board, 5) == 3 assert gamma_golden_move(board, 5, 1, 1) == 1 assert gamma_move(board, 2, 6, 1) == 1 assert gamma_move(board, 2, 5, 2) == 1 assert gamma_golden_move(board, 2, 4, 3) == 0 assert gamma_move(board, 3, 6, 0) == 1 assert gamma_move(board, 4, 6, 1) == 0 assert gamma_move(board, 4, 2, 0) == 1 assert gamma_move(board, 5, 4, 6) == 0 assert gamma_golden_possible(board, 5) == 0 assert gamma_move(board, 1, 1, 3) == 0 assert gamma_move(board, 2, 3, 0) == 0 assert gamma_move(board, 3, 2, 4) == 0 assert gamma_move(board, 3, 0, 2) == 1 assert gamma_move(board, 4, 3, 6) == 0 assert gamma_golden_move(board, 4, 4, 0) == 1 assert gamma_move(board, 5, 3, 0) == 0 assert gamma_free_fields(board, 1) == 20 assert gamma_move(board, 2, 1, 0) == 1 assert gamma_move(board, 2, 6, 3) == 1 assert gamma_move(board, 3, 1, 2) == 0 assert gamma_move(board, 4, 2, 2) == 1 assert gamma_move(board, 5, 2, 4) == 0 assert gamma_move(board, 5, 2, 4) == 0 assert gamma_move(board, 1, 3, 4) == 0 assert gamma_move(board, 2, 1, 5) == 0 assert gamma_move(board, 2, 1, 0) == 0 assert gamma_busy_fields(board, 2) == 8 assert gamma_move(board, 3, 3, 0) == 0 assert gamma_move(board, 4, 1, 1) == 0 assert gamma_golden_possible(board, 4) == 0 assert gamma_move(board, 5, 1, 4) == 0 assert gamma_golden_possible(board, 5) == 0 board893840549 = gamma_board(board) assert board893840549 is not None assert board893840549 == ("23542...\n" ".3.5..2.\n" "334..212\n" ".5.3..2.\n" "52424.3.\n") del board893840549 board893840549 = None assert gamma_move(board, 1, 6, 1) == 0 assert gamma_move(board, 1, 6, 3) == 0 assert gamma_free_fields(board, 1) == 17 assert gamma_move(board, 2, 1, 7) == 0 assert gamma_move(board, 2, 5, 0) == 1 assert gamma_move(board, 3, 1, 4) == 0 assert gamma_move(board, 4, 3, 7) == 0 assert gamma_move(board, 4, 6, 3) == 0 assert gamma_golden_move(board, 4, 1, 3) == 0 assert gamma_move(board, 5, 3, 5) == 0 assert gamma_move(board, 5, 2, 4) == 0 assert gamma_move(board, 1, 0, 1) == 1 assert gamma_move(board, 2, 0, 1) == 0 assert gamma_move(board, 3, 2, 0) == 0 assert gamma_move(board, 3, 6, 2) == 0 assert gamma_move(board, 4, 0, 7) == 0 assert gamma_move(board, 5, 4, 6) == 0 assert gamma_move(board, 1, 2, 3) == 1 assert gamma_move(board, 1, 0, 0) == 0 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 1, 7) == 0 assert gamma_move(board, 3, 3, 5) == 0 assert gamma_move(board, 3, 7, 0) == 1 assert gamma_golden_move(board, 3, 1, 1) == 1 assert gamma_move(board, 4, 2, 3) == 0 assert gamma_move(board, 4, 2, 0) == 0 assert gamma_golden_move(board, 4, 0, 0) == 0 board959278144 = gamma_board(board) assert board959278144 is not None assert board959278144 == ("23542...\n" ".315..2.\n" "334..212\n" "13.3..2.\n" "52424233\n") del board959278144 board959278144 = None assert gamma_move(board, 5, 4, 7) == 0 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_move(board, 2, 4, 4) == 0 assert gamma_move(board, 2, 6, 2) == 0 assert gamma_move(board, 3, 1, 1) == 0 assert gamma_move(board, 3, 0, 0) == 0 assert gamma_golden_possible(board, 3) == 0 assert gamma_move(board, 4, 2, 3) == 0 assert gamma_move(board, 5, 1, 4) == 0 assert gamma_move(board, 5, 3, 1) == 0 assert gamma_golden_possible(board, 5) == 0 assert gamma_move(board, 1, 1, 5) == 0 assert gamma_move(board, 1, 1, 2) == 0 assert gamma_move(board, 2, 3, 5) == 0 assert gamma_move(board, 2, 2, 0) == 0 assert gamma_move(board, 3, 1, 4) == 0 assert gamma_move(board, 3, 4, 4) == 0 assert gamma_busy_fields(board, 3) == 8 assert gamma_move(board, 4, 3, 1) == 0 assert gamma_golden_possible(board, 4) == 0 board186630370 = gamma_board(board) assert board186630370 is not None assert board186630370 == ("23542...\n" ".315..2.\n" "334..212\n" "13.3..2.\n" "52424233\n") del board186630370 board186630370 = None assert gamma_move(board, 5, 2, 4) == 0 assert gamma_free_fields(board, 5) == 13 assert gamma_move(board, 1, 2, 1) == 1 assert gamma_move(board, 2, 3, 5) == 0 assert gamma_move(board, 3, 4, 7) == 0 assert gamma_move(board, 4, 1, 4) == 0 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_free_fields(board, 4) == 12 assert gamma_move(board, 5, 2, 4) == 0 assert gamma_move(board, 5, 2, 0) == 0 assert gamma_move(board, 2, 4, 6) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 2, 3) == 0 assert gamma_move(board, 4, 3, 4) == 0 assert gamma_move(board, 4, 7, 0) == 0 assert gamma_move(board, 5, 3, 3) == 0 assert gamma_move(board, 1, 1, 5) == 0 assert gamma_free_fields(board, 1) == 12 assert gamma_move(board, 2, 7, 0) == 0 assert gamma_busy_fields(board, 2) == 9 assert gamma_move(board, 3, 1, 4) == 0 assert gamma_move(board, 3, 7, 1) == 1 assert gamma_move(board, 4, 1, 5) == 0 assert gamma_move(board, 5, 1, 2) == 0 gamma_delete(board)

31.487069

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0.335585

0.359555

0.479407

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null

1

0

1

0

null

0

1

0

5

017bb5fd19c38e12ebbd9b1174d2ef3839c48ec4

116

py

Python

source_code/central_monitor/alerts/admin.py

Doctor-Venom/Cyber-Oracle

0cc3475416ea552704f4b1086d850fa90117ccc6

[ "MIT" ]

null

source_code/central_monitor/alerts/admin.py

Doctor-Venom/Cyber-Oracle

0cc3475416ea552704f4b1086d850fa90117ccc6

[ "MIT" ]

null

source_code/central_monitor/alerts/admin.py

Doctor-Venom/Cyber-Oracle

0cc3475416ea552704f4b1086d850fa90117ccc6

[ "MIT" ]

null

from django.contrib import admin from .models import Alert # Register your models here. admin.site.register(Alert)

19.333333

32

0.801724

17

116

5.470588

0.647059

0

0.12931

116

5

33

23.2

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0

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0.666667

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0

null

0

1

0

1

0

1

0

5

6d7e22756a6d95260f1fae465aebfb31d39e3235

55

py

Python

RadiAIDD/Backend/__init__.py

jo-mueller/RadiAide

0ad9eb11673f5df4998670dfc75eaad38b5ae54a

[ "MIT" ]

null

RadiAIDD/Backend/__init__.py

jo-mueller/RadiAide

0ad9eb11673f5df4998670dfc75eaad38b5ae54a

[ "MIT" ]

2

2020-05-18T10:36:49.000Z

2020-05-19T07:09:45.000Z

RadiAIDD/Backend/__init__.py

jo-mueller/RadiAide

0ad9eb11673f5df4998670dfc75eaad38b5ae54a

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .UI import ressources_rc

13.75

29

0.636364

8

55

4.25

1

0

0.022222

0.181818

55

3

30

18.333333

0.733333

0.381818

0

1

0

true

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

6d815f60998760396e245b33a49f965635ddcbee

129

py

Python

src/main1.py

yamap55/python_import_sample

c468ac0d076cb61f54ef6133d906f1cb112e2aae

[ "MIT" ]

null

src/main1.py

yamap55/python_import_sample

c468ac0d076cb61f54ef6133d906f1cb112e2aae

[ "MIT" ]

1

2021-03-26T01:09:24.000Z

src/main1.py

yamap55/python_import_sample

c468ac0d076cb61f54ef6133d906f1cb112e2aae

[ "MIT" ]

null

import b def get_str(): return f"123_{b.get_hoge()}_456" # 123_hoge_456 if __name__ == "__main__": print(get_str())

12.9

52

0.643411

21

129

3.238095

0.666667

0.176471

0

0.116505

0.20155

129

9

53

14.333333

0.543689

0.093023

0

0.26087

0.191304

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0.2

true

0

0.2

0.6

0.2

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null

0

1

0

null

0

1

0

1

0

5

6d9226f9a9787d242a2a4b15e7fe827ebe4a40ef

48

py

Python

Modules/ExposureNotification/exposure_notification_exceptions.py

pvieito/Radar-STATS

9ff991a4db776259bc749a823ee6f0b0c0d38108

[ "Apache-2.0" ]

9

2020-10-14T16:58:32.000Z

2021-10-05T12:01:56.000Z

Modules/ExposureNotification/exposure_notification_exceptions.py

pvieito/Radar-STATS

9ff991a4db776259bc749a823ee6f0b0c0d38108

[ "Apache-2.0" ]

3

2020-10-08T04:48:35.000Z

2020-10-10T20:46:58.000Z

Modules/ExposureNotification/exposure_notification_exceptions.py

pvieito/Radar-STATS

9ff991a4db776259bc749a823ee6f0b0c0d38108

[ "Apache-2.0" ]

3

2020-09-27T07:39:26.000Z

2020-10-02T07:48:56.000Z

class NoKeysFoundException(Exception): pass

16

38

0.791667

4

48

9.5

1

0

0.145833

48

2

39

24

0.926829

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

6da9d8223a6e1eed92bad6bd9af4166ef81b6a62

2,311

py

Python

tests/calculate_with_alfas_test.py

parvex/residual-continual-learning-benchmark

8eeb2e57ecf0711e075eb02e8ed06fc8e7b9f20d

[ "MIT" ]

null

tests/calculate_with_alfas_test.py

parvex/residual-continual-learning-benchmark

8eeb2e57ecf0711e075eb02e8ed06fc8e7b9f20d

[ "MIT" ]

null

tests/calculate_with_alfas_test.py

parvex/residual-continual-learning-benchmark

8eeb2e57ecf0711e075eb02e8ed06fc8e7b9f20d

[ "MIT" ]

null

import unittest import torch class TensorMultiplying(unittest.TestCase): def test_tensor_multiplying_last_layer(self): out = torch.tensor( [[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]], [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]], [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]]) out = out.unsqueeze(0).repeat(128,1,1,1) alfa = torch.tensor([2.0, 3.0, 4.0]) expected = torch.tensor([[[2., 4., 6.], [8., 10., 12.], [14., 16., 18.]], [[3., 6., 9.], [12., 15., 18.], [21., 24., 27.]], [[4., 8., 12.], [16., 20., 24.], [28., 32., 36.]]]) expected = expected.unsqueeze(0).repeat(128, 1, 1, 1) result = out * alfa[None, :, None, None] self.assertTrue(torch.equal(expected, result)) def test_tensor_multiplying_prelast_layer(self): out = torch.tensor( [[[[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]], [[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]], [[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]]], [[[2.0, 2.0, 2.0], [2.0, 2.0, 2.0], [2.0, 2.0, 2.0]], [[2.0, 2.0, 2.0], [2.0, 2.0, 2.0], [2.0, 2.0, 2.0]], [[2.0, 2.0, 2.0], [2.0, 2.0, 2.0], [2.0, 2.0, 2.0]]], [[[3.0, 3.0, 3.0], [3.0, 3.0, 3.0], [3.0, 3.0, 3.0]], [[3.0, 3.0, 3.0], [3.0, 3.0, 3.0], [3.0, 3.0, 3.0]], [[3.0, 3.0, 3.0], [3.0, 3.0, 3.0], [3.0, 3.0, 3.0]]]]) alfa = torch.tensor([2.0, 3.0, 4.0]) expected = torch.tensor([[[2., 4., 6.], [8., 10., 12.], [14., 16., 18.]], [[3., 6., 9.], [12., 15., 18.], [21., 24., 27.]], [[4., 8., 12.], [16., 20., 24.], [28., 32., 36.]]]) result = out * alfa[None, :, None, None] self.assertTrue(torch.equal(expected, result)) if __name__ == '__main__': unittest.main()

39.169492

389

0.339247

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2,311

2.081301

0.135501

0.083333

0.125

0.135417

0.783854

0.666667

0

0.24269

0.408048

2,311

58

390

39.844828

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0

0.666667

0

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0

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1

0.051282

false

0

0.051282

0

0.128205

0

null

0

1

0

1

0

1

0

1

0

null

0

5

6db510c92d24aae7e24aa0c949fd6c1c08e43285

6,483

py

Python

perfrunner/workloads/ycsb.py

bochun/perfrunner

e215c73240381cf82fddc40856f560369c9b75a8

[ "Apache-2.0" ]

18

2015-10-28T23:12:07.000Z

2022-01-04T14:23:37.000Z

perfrunner/workloads/ycsb.py

bochun/perfrunner

e215c73240381cf82fddc40856f560369c9b75a8

[ "Apache-2.0" ]

11

2019-03-19T12:02:31.000Z

2022-02-11T03:39:44.000Z

perfrunner/workloads/ycsb.py

bochun/perfrunner

e215c73240381cf82fddc40856f560369c9b75a8

[ "Apache-2.0" ]

39

2015-06-07T09:17:16.000Z

2022-03-06T20:32:01.000Z

from perfrunner.helpers.local import restart_memcached, run_ycsb from perfrunner.settings import PhaseSettings, TargetSettings def ycsb_data_load(workload_settings: PhaseSettings, target: TargetSettings, timer: int, instance: int): soe_params = None if workload_settings.recorded_load_cache_size: restart_memcached() soe_params = { 'insertstart': (instance + 1) * workload_settings.inserts_per_workerinstance, 'recorded_load_cache_size': workload_settings.recorded_load_cache_size, } phase_params = None if workload_settings.phase: phase_params = { 'insertstart': instance * workload_settings.inserts_per_workerinstance + workload_settings.insertstart, 'inserts_per_workerinstance': workload_settings.inserts_per_workerinstance, } host = target.node if target.cloud: host = target.cloud['cluster_svc'] run_ycsb(host=host, bucket=target.bucket, password=target.password, action='load', ycsb_client=workload_settings.ycsb_client, workload=workload_settings.workload_path, items=workload_settings.items, workers=workload_settings.workers, target=int(workload_settings.target), soe_params=soe_params, instance=instance, epoll=workload_settings.epoll, boost=workload_settings.boost, persist_to=workload_settings.persist_to, replicate_to=workload_settings.replicate_to, fieldlength=workload_settings.field_length, fieldcount=workload_settings.field_count, durability=workload_settings.durability, kv_endpoints=workload_settings.kv_endpoints, enable_mutation_token=workload_settings.enable_mutation_token, transactionsenabled=workload_settings.transactionsenabled, documentsintransaction=workload_settings.documentsintransaction, transactionreadproportion=workload_settings.transactionreadproportion, transactionupdateproportion=workload_settings.transactionupdateproportion, transactioninsertproportion=workload_settings.transactioninsertproportion, requestdistribution=workload_settings.requestdistribution, num_atrs=workload_settings.num_atrs, ycsb_jvm_args=workload_settings.ycsb_jvm_args, collections_map=workload_settings.collections, timeseries=workload_settings.timeseries, phase_params=phase_params, cloud=target.cloud) def ycsb_workload(workload_settings: PhaseSettings, target: TargetSettings, timer: int, instance: int): soe_params = None if workload_settings.recorded_load_cache_size: soe_params = { 'insertstart': (instance + 1) * workload_settings.inserts_per_workerinstance, 'recorded_load_cache_size': workload_settings.recorded_load_cache_size, } if workload_settings.ycsb_split_workload: split_instance = workload_settings.workload_instances // 2 if instance < split_instance: workload_settings.workload_path = workload_settings.workload_path.split(",")[0] elif instance >= split_instance: workload_settings.workload_path = workload_settings.workload_path.split(",")[1] insert_test_params = None if workload_settings.insert_test_flag: insert_test_params = { 'insertstart': int(instance * workload_settings.inserts_per_workerinstance + workload_settings.items), 'recordcount': int((instance+1) * workload_settings.inserts_per_workerinstance + workload_settings.items), } host = target.node if target.cloud: host = target.cloud['cluster_svc'] run_ycsb(host=host, bucket=target.bucket, password=target.password, action='run', ycsb_client=workload_settings.ycsb_client, workload=workload_settings.workload_path, items=workload_settings.items, workers=workload_settings.workers, target=int(workload_settings.target), soe_params=soe_params, ops=int(workload_settings.ops), instance=instance, epoll=workload_settings.epoll, boost=workload_settings.boost, persist_to=workload_settings.persist_to, replicate_to=workload_settings.replicate_to, execution_time=workload_settings.time, ssl_keystore_file=workload_settings.ssl_keystore_file, ssl_keystore_password=workload_settings.ssl_keystore_password, ssl_mode=workload_settings.ssl_mode, certificate_file=workload_settings.certificate_file, timeseries=workload_settings.timeseries, cbcollect=workload_settings.cbcollect, fieldlength=workload_settings.field_length, fieldcount=workload_settings.field_count, durability=workload_settings.durability, kv_endpoints=workload_settings.kv_endpoints, enable_mutation_token=workload_settings.enable_mutation_token, retry_strategy=workload_settings.retry_strategy, retry_lower=workload_settings.retry_lower, retry_upper=workload_settings.retry_upper, retry_factor=workload_settings.retry_factor, transactionsenabled=workload_settings.transactionsenabled, documentsintransaction=workload_settings.documentsintransaction, transactionreadproportion=workload_settings.transactionreadproportion, transactionupdateproportion=workload_settings.transactionupdateproportion, transactioninsertproportion=workload_settings.transactioninsertproportion, requestdistribution=workload_settings.requestdistribution, num_atrs=workload_settings.num_atrs, ycsb_jvm_args=workload_settings.ycsb_jvm_args, collections_map=workload_settings.collections, out_of_order=workload_settings.ycsb_out_of_order, insert_test_params=insert_test_params, cloud=target.cloud)

46.640288

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0.681783

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6,483

7.070826

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0.316718

0.040067

0.03005

0.774624

0.737181

0.735035

0.688767

0

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0.256826

6,483

138

93

46.978261

0.869033

0

0.666667

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0

1

0.015873

false

0.02381

0.015873

0

0.031746

0

null

1

0

1

0

1

0

null

0

5

6dd70717ee1b8fc1056067f9ccd21594623d866a

661

py

Python

Smart calc/calc.py

df2204/training-folder

4661f125e842610404cf2c3e6830d78d0498fa26

[ "MIT" ]

null

Smart calc/calc.py

df2204/training-folder

4661f125e842610404cf2c3e6830d78d0498fa26

[ "MIT" ]

null

Smart calc/calc.py

df2204/training-folder

4661f125e842610404cf2c3e6830d78d0498fa26

[ "MIT" ]

null

print("hello") o= input ("input operation ") x= int(input ("x = ")) y= int(input ("y = ")) if o == "+": print (x+y) elif o == "-": print (x-y) elif o == "*" : print (x*y) elif o == "/" : if y==0 : print ("it's a simple calc, don't be too smart") else : print (x/y) elif o == "//" : if y==0 : print ("it's a simple calc, don't be too smart") else : print (x//y) elif o == "**" : print (x**y) elif o == "%" : if y==0 : print ("it's a simple calc, don't be too smart") else : print (x%y) else : print ("Unknown operational symbol. It's a simple calc, don't forget" )

22.033333

75

0.472012

107

661

2.915888

0.242991

0.051282

0.157051

0.211538

0.708333

0.650641

0

0.006726

0.325265

661

29

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0

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0

0.413793

0

null

0

1

0

1

0

1

0

null

0

1

0

5

6de2925c9dc3649e1c465e32e01fdb0869693e32

313

py

Python

irctest/scram/exceptions.py

FiskFan1999/ergochat_irctest

da005d7d2492bf31c4bdeb46108240766c69d0ad

[ "MIT" ]

16

2015-12-20T16:24:54.000Z

2021-06-03T18:00:03.000Z

irctest/scram/exceptions.py

FiskFan1999/ergochat_irctest

da005d7d2492bf31c4bdeb46108240766c69d0ad

[ "MIT" ]

66

2015-12-20T00:23:25.000Z

2021-08-14T09:57:04.000Z

irctest/scram/exceptions.py

FiskFan1999/ergochat_irctest

da005d7d2492bf31c4bdeb46108240766c69d0ad

[ "MIT" ]

3

2021-12-04T21:18:41.000Z

2022-03-22T01:42:36.000Z

class ScramException(Exception): pass class BadChallengeException(ScramException): pass class ExtraChallengeException(ScramException): pass class ServerScramError(ScramException): pass class BadSuccessException(ScramException): pass class NotAuthorizedException(ScramException): pass

17.388889

46

0.792332

24

313

10.333333

0.375

0.181452

0.370968

0

0.15016

313

17

47

18.411765

0.932331

0

0.5

0

1

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true

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

5

0998d4118040ecbdae6ade511e0c92b1a9c293c1

27

py

Python

src/sage/graphs/generators/__init__.py

bopopescu/sage

2d495be78e0bdc7a0a635454290b27bb4f5f70f0

[ "BSL-1.0" ]

5

2015-01-04T07:15:06.000Z

2022-03-04T15:15:18.000Z

src/sage/graphs/generators/__init__.py

Ivo-Maffei/sage

467fbc70a08b552b3de33d9065204ee9cbfb02c7

[ "BSL-1.0" ]

2

2018-10-30T13:40:20.000Z

2020-07-23T12:13:30.000Z

src/sage/graphs/generators/__init__.py

dimpase/sage

468f23815ade42a2192b0a9cd378de8fdc594dcd

[ "BSL-1.0" ]

10

2016-09-28T13:12:40.000Z

2022-02-12T09:28:34.000Z

# This file is not empty !

13.5

26

0.666667

5

27

3.6

1

0

0.259259

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1

27

0.9

0.888889

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

09e19fe537b6aa641c8e8f54b2ea6eff63c1fdbd

50

py

Python

mvdnet/evaluation/__init__.py

qiank10/MVDNet

d83663df068183d1e606100adb0fc78c35f1141c

[ "Apache-2.0" ]

51

2021-03-05T08:20:27.000Z

2022-03-30T03:16:19.000Z

mvdnet/evaluation/__init__.py

qiank10/MVDNet

d83663df068183d1e606100adb0fc78c35f1141c

[ "Apache-2.0" ]

10

2021-04-04T09:07:44.000Z

2021-12-14T09:16:11.000Z

mvdnet/evaluation/__init__.py

qiank10/MVDNet

d83663df068183d1e606100adb0fc78c35f1141c

[ "Apache-2.0" ]

4

2021-03-08T01:49:33.000Z

2021-12-03T12:46:01.000Z

from .robotcar_evaluation import RobotCarEvaluator

50

0.92

5

50

9

1

0

0.06

50

1

50

0.957447

0

1

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1

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1

0

1

0

1

0

5

09e8355bc82186cdf9a94afdd31ef30230007eec

158

py

Python

apidaora/myapp.py

sarincr/Python-Web-Frameworks-and-Template-Engines

a830cafb0075539527688ea3c12e3e2d97d3519f

[ "MIT" ]

null

apidaora/myapp.py

sarincr/Python-Web-Frameworks-and-Template-Engines

a830cafb0075539527688ea3c12e3e2d97d3519f

[ "MIT" ]

null

apidaora/myapp.py

sarincr/Python-Web-Frameworks-and-Template-Engines

a830cafb0075539527688ea3c12e3e2d97d3519f

[ "MIT" ]

null

from apidaora import appdaora, route @route.get('/') def hello_controller(name: str) -> str: return f'Hello World!' app = appdaora(hello_controller)

15.8

39

0.708861

21

158

5.238095

0.714286

0.272727

0

0.164557

158

9

40

17.555556

0.833333

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0.088608

0

1

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0

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null

1

0

1

0

null

0

1

0

5

09f4d42d6f26286c5c1ef69f2fb975726f81fa79

150

py

Python

src/you_get/cli_wrapper/player/__main__.py

adger-me/you-get

b32741ad8e57b3a02a1006d27e87eb5b879f1c90

[ "MIT" ]

46,956

2015-01-01T08:48:41.000Z

2022-03-31T13:38:03.000Z

src/you_get/cli_wrapper/player/__main__.py

adger-me/you-get

b32741ad8e57b3a02a1006d27e87eb5b879f1c90

[ "MIT" ]

2,477

2015-01-02T18:12:33.000Z

2022-03-31T10:44:24.000Z

src/you_get/cli_wrapper/player/__main__.py

adger-me/you-get

b32741ad8e57b3a02a1006d27e87eb5b879f1c90

[ "MIT" ]

10,750

2015-01-03T01:33:16.000Z

2022-03-31T06:36:28.000Z

#!/usr/bin/env python ''' WIP def main(): script_main('you-get', any_download, any_download_playlist) if __name__ == "__main__": main() '''

15

63

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150

4.25

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0.166667

150

9

64

16.666667

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0.926667

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null

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1

0

1

0

null

0

1

0

5

09fb85c745573d94771db6cb539775578a370186

47

py

Python

apps/forms-flow-ai/forms-flow-api/tests/conf/__init__.py

saravanpa-aot/SBC_DivApps

87355ef93f8020b2c42f5392ff5d7b0129fa2222

[ "Apache-2.0" ]

132

2020-04-16T20:26:18.000Z

2022-03-30T12:39:50.000Z

apps/forms-flow-ai/forms-flow-api/tests/conf/__init__.py

saravanpa-aot/SBC_DivApps

87355ef93f8020b2c42f5392ff5d7b0129fa2222

[ "Apache-2.0" ]

102

2020-06-05T21:30:27.000Z

2022-03-30T04:53:25.000Z

apps/forms-flow-ai/forms-flow-api/tests/conf/__init__.py

saravanpa-aot/SBC_DivApps

87355ef93f8020b2c42f5392ff5d7b0129fa2222

[ "Apache-2.0" ]

91

2020-04-15T18:54:51.000Z

2022-03-29T04:58:49.000Z

"""Test-Suite for the configuration system."""

23.5

46

0.723404

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47

5.666667

1

0

0.106383

47

1

47

0.809524

0.851064

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null

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null

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null

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null

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true

0

null

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null

0

1

0

1

0

null

0

1

0

5

61ccf64925a4d55c203a566ed351ab1aec40bca1

90

py

Python

delivery/delivery/ext/site/__init__.py

alisonamerico/curso-flask

693b0009278de7662d5cf269ff0c21ccfc01eab2

[ "Unlicense" ]

null

delivery/delivery/ext/site/__init__.py

alisonamerico/curso-flask

693b0009278de7662d5cf269ff0c21ccfc01eab2

[ "Unlicense" ]

null

delivery/delivery/ext/site/__init__.py

alisonamerico/curso-flask

693b0009278de7662d5cf269ff0c21ccfc01eab2

[ "Unlicense" ]

null

from delivery.ext.site.main import bp def init_app(app): app.register_blueprint(bp)

15

37

0.755556

15

90

4.4

0.8

0.181818

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0.144444

90

5

38

18

0.857143

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0.333333

false

0

0.333333

0

0.666667

0.333333

1

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null

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1

0

null

0

1

0

1

0

1

0

5

110f91c2ea844b71d6f314e8a6c23e696a73457c

137

py

Python

tests/test_wikipedia.py

cauliyang/test-poetry

d61c1c7648aaff0fe7667770fd35c7c8119caeac

[ "MIT" ]

null

tests/test_wikipedia.py

cauliyang/test-poetry

d61c1c7648aaff0fe7667770fd35c7c8119caeac

[ "MIT" ]

null

tests/test_wikipedia.py

cauliyang/test-poetry

d61c1c7648aaff0fe7667770fd35c7c8119caeac

[ "MIT" ]

null

from test_poetry import wikipedia def test_random_page_use_given_language(mock_requests_get): wikipedia.random_page(language="de")

22.833333

59

0.839416

20

137

5.3

0.75

0.188679

0

0.094891

137

5

60

27.4

0.854839

0

0.014599

0

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0.333333

false

0

0.333333

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

114b5df4c79b729027d3f505c8f68ce44a832f41

2,873

py

Python

textadapter/tests/data/benchmarks.py

ContinuumIO/TextAdapter

53138c2277cdfcf32e127251313d4f77f81050aa

[ "BSD-3-Clause" ]

22

2016-11-09T12:20:04.000Z

2021-02-07T03:07:58.000Z

dbadapter/tests/data/benchmarks.py

ContinuumIO/DBAdapter

19a49b4963d50df27cc930cf27693f31fd8e0426

[ "BSD-3-Clause" ]

5

2017-03-11T00:37:15.000Z

2018-05-24T15:35:40.000Z

dbadapter/tests/data/benchmarks.py

ContinuumIO/DBAdapter

19a49b4963d50df27cc930cf27693f31fd8e0426

[ "BSD-3-Clause" ]

10

2017-10-10T23:15:00.000Z

2021-12-04T14:44:19.000Z

import timeit import os def timeFunction(function, setup): print 'timing', function t = timeit.Timer(stmt=function, setup=setup) times = [] for i in range(0,3): os.system('sudo sh -c "sync; echo 3 > /proc/sys/vm/drop_caches"') times.append(str(t.timeit(number=1))) return min(times) ints1 = timeFunction('blazeopt.loadtxt("ints1", dtype="u4,u4,u4,u4,u4", delimiter=",")', 'import blazeopt') ints2 = timeFunction('blazeopt.loadtxt("ints2", dtype="u4,u4,u4,u4,u4", delimiter=",")', 'import blazeopt') ints3 = timeFunction('blazeopt.loadtxt("ints3", dtype="u4,u4,u4,u4,u4", delimiter=",")', 'import blazeopt') print ints1, ints2, ints3 floats1 = timeFunction('blazeopt.loadtxt("floats1", dtype="f8,f8,f8,f8,f8", delimiter=",")', 'import blazeopt') floats2 = timeFunction('blazeopt.loadtxt("floats2", dtype="f8,f8,f8,f8,f8", delimiter=",")', 'import blazeopt') floats3 = timeFunction('blazeopt.loadtxt("floats3", dtype="f8,f8,f8,f8,f8", delimiter=",")', 'import blazeopt') print floats1, floats2, floats3 ints1 = timeFunction('blazeopt.genfromtxt("ints1", dtype="u4,u4,u4,u4,u4", delimiter=",")', 'import blazeopt') ints2 = timeFunction('blazeopt.genfromtxt("ints2", dtype="u4,u4,u4,u4,u4", delimiter=",")', 'import blazeopt') ints3 = timeFunction('blazeopt.genfromtxt("ints3", dtype="u4,u4,u4,u4,u4", delimiter=",")', 'import blazeopt') print ints1, ints2, ints3 floats1 = timeFunction('blazeopt.genfromtxt("floats1", dtype="f8,f8,f8,f8,f8", delimiter=",")', 'import blazeopt') floats2 = timeFunction('blazeopt.genfromtxt("floats2", dtype="f8,f8,f8,f8,f8", delimiter=",")', 'import blazeopt') floats3 = timeFunction('blazeopt.genfromtxt("floats3", dtype="f8,f8,f8,f8,f8", delimiter=",")', 'import blazeopt') print floats1, floats2, floats3 missingValues1 = timeFunction('blazeopt.genfromtxt("missingvalues1", dtype="u4,u4,u4,u4,u4", delimiter=",", missing_values={0:["NA","NaN"], 1:["xx","inf"]}, filling_values="999")', 'import blazeopt') missingValues2 = timeFunction('blazeopt.genfromtxt("missingvalues2", dtype="u4,u4,u4,u4,u4", delimiter=",", missing_values={0:["NA","NaN"], 1:["xx","inf"]}, filling_values="999")', 'import blazeopt') missingValues3 = timeFunction('blazeopt.genfromtxt("missingvalues3", dtype="u4,u4,u4,u4,u4", delimiter=",", missing_values={0:["NA","NaN"], 1:["xx","inf"]}, filling_values="999")', 'import blazeopt') print missingValues1, missingValues2, missingValues3 fixedwidth1 = timeFunction('blazeopt.genfromtxt("fixedwidth1", dtype="u4,u4,u4,u4,u4", delimiter=[2,3,4,5,6])', 'import blazeopt') fixedwidth2 = timeFunction('blazeopt.genfromtxt("fixedwidth2", dtype="u4,u4,u4,u4,u4", delimiter=[2,3,4,5,6])', 'import blazeopt') fixedwidth3 = timeFunction('blazeopt.genfromtxt("fixedwidth3", dtype="u4,u4,u4,u4,u4", delimiter=[2,3,4,5,6])', 'import blazeopt') print fixedwidth1, fixedwidth2, fixedwidth3

63.844444

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0.705186

372

2,873

5.427419

0.180108

0.095097

0.106984

0.095097

0.618128

0

0.067527

0.082492

2,873

44

200

65.295455

0.698407

0

0.117647

0

0.176471

0.630223

0.41922

0

null

0

0.588235

null

0.205882

0

null

0

1

0

1

null

0

1

0

1

0

5

fecd563f40dd85eeb0c2b6894a2a09e0c5ef2ae2

475

py

Python

3week/test_car_fuelling.py

gypsyx/algos-toolbox

d2eb2a975332b5a2ee451129c8569d97f99a2b11

[ "MIT" ]

null

3week/test_car_fuelling.py

gypsyx/algos-toolbox

d2eb2a975332b5a2ee451129c8569d97f99a2b11

[ "MIT" ]

null

3week/test_car_fuelling.py

gypsyx/algos-toolbox

d2eb2a975332b5a2ee451129c8569d97f99a2b11

[ "MIT" ]

null

from car_fueling_3 import * def test_compute_min_refills(): stops = [200, 375, 550, 750] assert compute_min_refills(950, 400, stops) == 2 stops = [1, 2, 5, 9] assert compute_min_refills(10, 3, stops) == -1 stops = [100, 150] assert compute_min_refills(200, 250, stops) == 0 stops = [100, 200, 300, 400] assert compute_min_refills(500, 200, stops) == 2 stops = [100, 200, 300, 400] assert compute_min_refills(700, 200, stops) == -1

27.941176

53

0.637895

73

475

3.945205

0.410959

0.208333

0.354167

0.399306

0.277778

0

0.215259

0.227368

475

17

53

27.941176

0.569482

0

0.166667

0

0.416667

1

0.083333

false

0

0.083333

0

0.166667

0

null

1

0

1

0

null

0

1

0

5

fefaf9b9ae4998c70d018dd8a35614c168274d05

2,317

py

Python

code/2_process_hearings/2_1_clean_hearings.py

ianpcook/info_transmission

f0533f7643f5d29fc31932d9f59fd46cbc1a333b

[ "CC0-1.0" ]

null

code/2_process_hearings/2_1_clean_hearings.py

ianpcook/info_transmission

f0533f7643f5d29fc31932d9f59fd46cbc1a333b

[ "CC0-1.0" ]

null

code/2_process_hearings/2_1_clean_hearings.py

ianpcook/info_transmission

f0533f7643f5d29fc31932d9f59fd46cbc1a333b

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Dec 10 18:14:42 2014 @author: ian """ """ This file opens the downloaded hearing files, and cleans out the HTML and other problematic content, then saves them as separate files. """ import os import fnmatch from bs4 import BeautifulSoup import codecs import re mydir = './data/scraped_hearings/' """ File traversing adapted from: http://stackoverflow.com/questions/2186525/use-a-glob-to-find-files-recursively-in-python """ def find_files(directory, pattern): for root, dirs, files in os.walk(directory): for basename in files: if fnmatch.fnmatch(basename, pattern): fullpath = os.path.join(root, basename) yield fullpath # Code below thanks to Joe Esposito filelist = [] failed_files = [] for filename in list(find_files(mydir, '*.txt')): # Get text with codecs.open(filename, 'r', 'utf-8') as f: try: content = f.read() except UnicodeDecodeError: print 'Skipping non-UTF-8 file:', filename failed_files.append(filename) continue # Convert to text soup = BeautifulSoup(content.encode('UTF-8')).text # Reopen and write new text to the file with codecs.open('./data/clean_hearings_flat/'+os.path.basename(filename), 'w', 'utf-8') as f: f.write(soup) # Print to show progress print len(filelist) # Add filename to array to be used as first data column filelist.append(os.path.basename(filename)) print 'Done!' if failed_files: print print 'Skipped files:' for failed_file in failed_files: print failed_file # Clean out extraneous formatting notes and graphics indicators import fileinput chf = './data/clean_hearings_flat/' fileCruft = [ # to be removed from files re.compile('\[GRAPHIC\]'), re.compile('\[TIFF OMITTED\]'), re.compile('\[\[\w+\s+\d+\]\]'), re.compile('\[GRAPHIC$S$ NOT AVAILABLE IN TIFF FORMAT\]') ] for filename in list(find_files(chf, '*.txt')): with codecs.open(filename, 'r', 'utf-8') as f: content = f.read() for cruft in fileCruft: content = re.sub(cruft, " ", content) with codecs.open(filename, 'w', 'utf-8') as f: f.write(content) print "Finished cleaning file ", filename

2,317

0.645231

313

2,317

4.731629

0.447284

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0.018906

0.105334

0.070223

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0

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2,317

1

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0.812291

0.995252

0

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0.160777

0.045936

0

null

0

0.122449

null

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0

null

0

1

0

1

0

null

0

1

0

5

fefea9ffd9759541208b9b69f38aced2237f92e2

203

py

Python

PythonFiles/app.py

IamVaibhavsar/Python_Files

283d73929a3e11955c71499407c4f8bff56e4273

[ "MIT" ]

null

PythonFiles/app.py

IamVaibhavsar/Python_Files

283d73929a3e11955c71499407c4f8bff56e4273

[ "MIT" ]

null

PythonFiles/app.py

IamVaibhavsar/Python_Files

283d73929a3e11955c71499407c4f8bff56e4273

[ "MIT" ]

1

2019-07-26T15:25:21.000Z

import usefulFunctions #importing the other file in a program #all the functions, variables of this file can be used in this file print(usefulFunctions.roll_dice()) print(usefulFunctions.friends)

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0.793103

29

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0.724138

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203

7

69

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0.507389

0

1

0

true

0

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0.666667

1

0

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null

0

1

0

1

0

1

0

5

3a0e13183c8b1e4268fa8a67f8c73872ed8f2538

245

py

Python

custom_exceptions.py

maxweldsouza/ceme

a5bc65d8502f196a2e14cf0a0dce9c3c6efa4b3d

[ "MIT" ]

null

custom_exceptions.py

maxweldsouza/ceme

a5bc65d8502f196a2e14cf0a0dce9c3c6efa4b3d

[ "MIT" ]

null

custom_exceptions.py

maxweldsouza/ceme

a5bc65d8502f196a2e14cf0a0dce9c3c6efa4b3d

[ "MIT" ]

null

class AlreadyExists(Exception): pass class NoRights(Exception): pass class EntryNotFound(Exception): pass class LoginFailed(Exception): pass # input validation """ Input validation """ class InvalidInput(Exception): pass

14.411765

31

0.722449

24

245

7.375

0.416667

0.367232

0.305085

0

0.187755

245

16

32

15.3125

0.889447

0.065306

0

0.5

0

1

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true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

3a1f7866fc87005ed243ac0c304a4393a6cec261

338

py

Python

src/plugins/getNow.py

Moyulingjiu/QQbot

cfdcee77de58215b4d05e59a1d8ea2462e091764

[ "Apache-2.0" ]

null

src/plugins/getNow.py

Moyulingjiu/QQbot

cfdcee77de58215b4d05e59a1d8ea2462e091764

[ "Apache-2.0" ]

null

src/plugins/getNow.py

Moyulingjiu/QQbot

cfdcee77de58215b4d05e59a1d8ea2462e091764

[ "Apache-2.0" ]

null

import datetime def toString(): curr_time = datetime.datetime.now() time_str = datetime.datetime.strftime(curr_time, '%Y-%m-%d %H:%M:%S') return time_str def getHour(): curr_time = datetime.datetime.now() return curr_time.hour def getMinute(): curr_time = datetime.datetime.now() return curr_time.minute

18.777778

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0.686391

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0.366071

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338

17

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false

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