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

a1aa30d3ae4ab2cc760c49678cc9092fba7d4f66

2,593

py

Python

presqt/targets/curate_nd/tests/views/resource/test_resource_collection.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

3

2019-01-29T19:45:25.000Z

2020-12-01T18:24:51.000Z

presqt/targets/curate_nd/tests/views/resource/test_resource_collection.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

419

2018-09-13T23:11:15.000Z

2021-09-22T17:49:00.000Z

presqt/targets/curate_nd/tests/views/resource/test_resource_collection.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

2

2020-04-10T08:19:41.000Z

2021-01-04T15:29:42.000Z

import os from django.test import SimpleTestCase from rest_framework.reverse import reverse from rest_framework.test import APIClient from unittest import skip class TestResourceCollection(SimpleTestCase): """ Test the 'api_v1/targets/curate_nd/resources' endpoint's GET method. Testing Curate ND integration. """ def setUp(self): self.client = APIClient() self.header = {'HTTP_PRESQT_SOURCE_TOKEN': os.environ['CURATE_ND_TEST_TOKEN']} @skip('Curate Test Server Issues') def test_success_curate_nd(self): """ Return a 200 if the GET method is successful when grabbing CurateND resources. """ url = reverse('resource_collection', kwargs={'target_name': 'curate_nd'}) response = self.client.get(url, **self.header) # Verify the status code self.assertEqual(response.status_code, 200) # Verify the dict keys match what we expect, # Verify the dict keys match what we expect keys = ['kind', 'kind_name', 'id', 'container', 'title', 'links'] for data in response.data['resources']: self.assertListEqual(keys, list(data.keys())) # Verify the count of resource objects is what we expect. self.assertEqual(37, len(response.data['resources'])) for data in response.data: self.assertEqual(len(data['links']), 1) @skip('Curate Test Server Issues') def test_error_400_missing_token_curate_nd(self): """ Return a 400 if the GET method fails because the presqt-source-token was not provided. """ url = reverse('resource_collection', kwargs={'target_name': 'curate_nd'}) response = self.client.get(url) # Verify the error status code and message self.assertEqual(response.status_code, 400) self.assertEqual(response.data, {'error': "'presqt-source-token' missing in the request headers."}) @skip('Curate Test Server Issues') def test_error_401_invalid_token_curate_nd(self): """ Return a 401 if the token provided is not a valid token. """ client = APIClient() header = {'HTTP_PRESQT_SOURCE_TOKEN': 'eggyboi'} url = reverse('resource_collection', kwargs={'target_name': 'curate_nd'}) response = client.get(url, **header) # Verify the error status code and message. self.assertEqual(response.status_code, 401) self.assertEqual(response.data, {'error': "Token is invalid. Response returned a 401 status code."})

40.515625

94

0.650983

22eb7ec04ddb186908f6b340cba141e70d46f969

712

py

Python

dev_6/authapp/forms.py

EvgenDEP1/dev-6

bf01ece91a0bb0efd6be99661c0cc2c59162b1c6

[ "Apache-2.0" ]

null

dev_6/authapp/forms.py

EvgenDEP1/dev-6

bf01ece91a0bb0efd6be99661c0cc2c59162b1c6

[ "Apache-2.0" ]

null

dev_6/authapp/forms.py

EvgenDEP1/dev-6

bf01ece91a0bb0efd6be99661c0cc2c59162b1c6

[ "Apache-2.0" ]

null

from django.contrib.auth.forms import AuthenticationForm, UserCreationForm from django.contrib.auth.models import User class LoginForm(AuthenticationForm): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) for name, item in self.fields.items(): item.widget.attrs['class'] = f'form-control {name}' class RegisterForm(UserCreationForm): class Meta: model = User fields = ('username', 'password1', 'password2') def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) for name, item in self.fields.items(): item.widget.attrs['class'] = f'form-control {name}' item.help_text = ''

32.363636

74

0.639045

e7e918ab05d28d9b33aea7fc56f2f3f5d91c1e0c

35,827

py

Python

test/test_tag_matcher.py

pi-sjp/behave-parallel

35e745828f9fd6c796a8980104a277a0028070cb

[ "BSD-2-Clause" ]

5

2019-01-15T18:49:16.000Z

2020-02-21T20:24:39.000Z

test/test_tag_matcher.py

pi-sjp/behave-parallel

35e745828f9fd6c796a8980104a277a0028070cb

[ "BSD-2-Clause" ]

6

2019-04-26T19:34:34.000Z

2020-06-03T21:49:13.000Z

test/test_tag_matcher.py

pi-sjp/behave-parallel

35e745828f9fd6c796a8980104a277a0028070cb

[ "BSD-2-Clause" ]

9

2019-04-23T19:43:41.000Z

2020-05-12T09:17:27.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import from behave.tag_matcher import * from mock import Mock from unittest import TestCase import warnings # -- REQUIRES: pytest # import pytest class Traits4ActiveTagMatcher(object): TagMatcher = ActiveTagMatcher value_provider = { "foo": "alice", "bar": "BOB", } category1_enabled_tag = TagMatcher.make_category_tag("foo", "alice") category1_disabled_tag = TagMatcher.make_category_tag("foo", "bob") category1_disabled_tag2 = TagMatcher.make_category_tag("foo", "charly") category1_similar_tag = TagMatcher.make_category_tag("foo", "alice2") category2_enabled_tag = TagMatcher.make_category_tag("bar", "BOB") category2_disabled_tag = TagMatcher.make_category_tag("bar", "CHARLY") category2_similar_tag = TagMatcher.make_category_tag("bar", "BOB2") unknown_category_tag = TagMatcher.make_category_tag("UNKNOWN", "one") # -- NEGATED TAGS: category1_not_enabled_tag = \ TagMatcher.make_category_tag("foo", "alice", "not_active") category1_not_enabled_tag2 = \ TagMatcher.make_category_tag("foo", "alice", "not") category1_not_disabled_tag = \ TagMatcher.make_category_tag("foo", "bob", "not_active") category1_negated_similar_tag1 = \ TagMatcher.make_category_tag("foo", "alice2", "not_active") active_tags1 = [ category1_enabled_tag, category1_disabled_tag, category1_similar_tag, category1_not_enabled_tag, category1_not_enabled_tag2, ] active_tags2 = [ category2_enabled_tag, category2_disabled_tag, category2_similar_tag, ] active_tags = active_tags1 + active_tags2 # -- REQUIRES: pytest # class TestActiveTagMatcher2(object): # TagMatcher = ActiveTagMatcher # traits = Traits4ActiveTagMatcher # # @classmethod # def make_tag_matcher(cls): # value_provider = { # "foo": "alice", # "bar": "BOB", # } # tag_matcher = cls.TagMatcher(value_provider) # return tag_matcher # # @pytest.mark.parametrize("case, expected_len, tags", [ # ("case: Two enabled tags", 2, # [traits.category1_enabled_tag, traits.category2_enabled_tag]), # ("case: Active enabled and normal tag", 1, # [traits.category1_enabled_tag, "foo"]), # ("case: Active disabled and normal tag", 1, # [traits.category1_disabled_tag, "foo"]), # ("case: Normal and active negated tag", 1, # ["foo", traits.category1_not_enabled_tag]), # ("case: Two normal tags", 0, # ["foo", "bar"]), # ]) # def test_select_active_tags__with_two_tags(self, case, expected_len, tags): # tag_matcher = self.make_tag_matcher() # selected = tag_matcher.select_active_tags(tags) # selected = list(selected) # assert len(selected) == expected_len, case # # @pytest.mark.parametrize("case, expected, tags", [ # # -- GROUP: With positive logic (non-negated tags) # ("case P00: 2 disabled tags", True, # [ traits.category1_disabled_tag, traits.category2_disabled_tag]), # ("case P01: disabled and enabled tag", True, # [ traits.category1_disabled_tag, traits.category2_enabled_tag]), # ("case P10: enabled and disabled tag", True, # [ traits.category1_enabled_tag, traits.category2_disabled_tag]), # ("case P11: 2 enabled tags", False, # -- SHOULD-RUN # [ traits.category1_enabled_tag, traits.category2_enabled_tag]), # # -- GROUP: With negated tag # ("case N00: not-enabled and disabled tag", True, # [ traits.category1_not_enabled_tag, traits.category2_disabled_tag]), # ("case N01: not-enabled and enabled tag", True, # [ traits.category1_not_enabled_tag, traits.category2_enabled_tag]), # ("case N10: not-disabled and disabled tag", True, # [ traits.category1_not_disabled_tag, traits.category2_disabled_tag]), # ("case N11: not-disabled and enabled tag", False, # -- SHOULD-RUN # [ traits.category1_not_disabled_tag, traits.category2_enabled_tag]), # # -- GROUP: With unknown category # ("case U0x: disabled and unknown tag", True, # [ traits.category1_disabled_tag, traits.unknown_category_tag]), # ("case U1x: enabled and unknown tag", False, # -- SHOULD-RUN # [ traits.category1_enabled_tag, traits.unknown_category_tag]), # ]) # def test_should_exclude_with__combinations_of_2_categories(self, case, expected, tags): # tag_matcher = self.make_tag_matcher() # actual_result = tag_matcher.should_exclude_with(tags) # assert expected == actual_result, case # # @pytest.mark.parametrize("case, expected, tags", [ # # -- GROUP: With positive logic (non-negated tags) # ("case P00: 2 disabled tags", True, # [ traits.category1_disabled_tag, traits.category1_disabled_tag2]), # ("case P01: disabled and enabled tag", True, # [ traits.category1_disabled_tag, traits.category1_enabled_tag]), # ("case P10: enabled and disabled tag", True, # [ traits.category1_enabled_tag, traits.category1_disabled_tag]), # ("case P11: 2 enabled tags (same)", False, # -- SHOULD-RUN # [ traits.category1_enabled_tag, traits.category1_enabled_tag]), # # -- GROUP: With negated tag # ("case N00: not-enabled and disabled tag", True, # [ traits.category1_not_enabled_tag, traits.category1_disabled_tag]), # ("case N01: not-enabled and enabled tag", True, # [ traits.category1_not_enabled_tag, traits.category1_enabled_tag]), # ("case N10: not-disabled and disabled tag", True, # [ traits.category1_not_disabled_tag, traits.category1_disabled_tag]), # ("case N11: not-disabled and enabled tag", False, # -- SHOULD-RUN # [ traits.category1_not_disabled_tag, traits.category1_enabled_tag]), # ]) # def test_should_exclude_with__combinations_with_same_category(self, # case, expected, tags): # tag_matcher = self.make_tag_matcher() # actual_result = tag_matcher.should_exclude_with(tags) # assert expected == actual_result, case class TestActiveTagMatcher1(TestCase): TagMatcher = ActiveTagMatcher traits = Traits4ActiveTagMatcher @classmethod def make_tag_matcher(cls): tag_matcher = cls.TagMatcher(cls.traits.value_provider) return tag_matcher def setUp(self): self.tag_matcher = self.make_tag_matcher() def test_select_active_tags__basics(self): active_tag = "active.with_CATEGORY=VALUE" tags = ["foo", active_tag, "bar"] selected = list(self.tag_matcher.select_active_tags(tags)) self.assertEqual(len(selected), 1) selected_tag, selected_match = selected[0] self.assertEqual(selected_tag, active_tag) def test_select_active_tags__matches_tag_parts(self): tags = ["active.with_CATEGORY=VALUE"] selected = list(self.tag_matcher.select_active_tags(tags)) self.assertEqual(len(selected), 1) selected_tag, selected_match = selected[0] self.assertEqual(selected_match.group("prefix"), "active") self.assertEqual(selected_match.group("category"), "CATEGORY") self.assertEqual(selected_match.group("value"), "VALUE") def test_select_active_tags__finds_tag_with_any_valid_tag_prefix(self): TagMatcher = self.TagMatcher for tag_prefix in TagMatcher.tag_prefixes: tag = TagMatcher.make_category_tag("foo", "alice", tag_prefix) tags = [ tag ] selected = self.tag_matcher.select_active_tags(tags) selected = list(selected) self.assertEqual(len(selected), 1) selected_tag0 = selected[0][0] self.assertEqual(selected_tag0, tag) self.assertTrue(selected_tag0.startswith(tag_prefix)) def test_select_active_tags__ignores_invalid_active_tags(self): invalid_active_tags = [ ("foo.alice", "case: Normal tag"), ("with_foo=alice", "case: Subset of an active tag"), ("ACTIVE.with_foo.alice", "case: Wrong tag_prefix (uppercase)"), ("only.with_foo.alice", "case: Wrong value_separator"), ] for invalid_tag, case in invalid_active_tags: tags = [ invalid_tag ] selected = self.tag_matcher.select_active_tags(tags) selected = list(selected) self.assertEqual(len(selected), 0, case) def test_select_active_tags__with_two_tags(self): # XXX-JE-DUPLICATED: traits = self.traits test_patterns = [ ("case: Two enabled tags", [traits.category1_enabled_tag, traits.category2_enabled_tag]), ("case: Active enabled and normal tag", [traits.category1_enabled_tag, "foo"]), ("case: Active disabled and normal tag", [traits.category1_disabled_tag, "foo"]), ("case: Active negated and normal tag", [traits.category1_not_enabled_tag, "foo"]), ] for case, tags in test_patterns: selected = self.tag_matcher.select_active_tags(tags) selected = list(selected) self.assertTrue(len(selected) >= 1, case) def test_should_exclude_with__returns_false_with_enabled_tag(self): traits = self.traits tags1 = [ traits.category1_enabled_tag ] tags2 = [ traits.category2_enabled_tag ] self.assertEqual(False, self.tag_matcher.should_exclude_with(tags1)) self.assertEqual(False, self.tag_matcher.should_exclude_with(tags2)) def test_should_exclude_with__returns_false_with_disabled_tag_and_more(self): # -- NOTE: Need 1+ enabled active-tags of same category => ENABLED traits = self.traits test_patterns = [ ([ traits.category1_enabled_tag, traits.category1_disabled_tag ], "case: first"), ([ traits.category1_disabled_tag, traits.category1_enabled_tag ], "case: last"), ([ "foo", traits.category1_enabled_tag, traits.category1_disabled_tag, "bar" ], "case: middle"), ] enabled = True # EXPECTED for tags, case in test_patterns: self.assertEqual(not enabled, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_true_with_other_tag(self): traits = self.traits tags = [ traits.category1_disabled_tag ] self.assertEqual(True, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_true_with_other_tag_and_more(self): traits = self.traits test_patterns = [ ([ traits.category1_disabled_tag, "foo" ], "case: first"), ([ "foo", traits.category1_disabled_tag ], "case: last"), ([ "foo", traits.category1_disabled_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(True, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_true_with_similar_tag(self): traits = self.traits tags = [ traits.category1_similar_tag ] self.assertEqual(True, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_true_with_similar_and_more(self): traits = self.traits test_patterns = [ ([ traits.category1_similar_tag, "foo" ], "case: first"), ([ "foo", traits.category1_similar_tag ], "case: last"), ([ "foo", traits.category1_similar_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(True, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_false_without_category_tag(self): test_patterns = [ ([ ], "case: No tags"), ([ "foo" ], "case: One tag"), ([ "foo", "bar" ], "case: Two tags"), ] for tags, case in test_patterns: self.assertEqual(False, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_false_with_unknown_category_tag(self): """Tags from unknown categories, not supported by value_provider, should not be excluded. """ traits = self.traits tags = [ traits.unknown_category_tag ] self.assertEqual("active.with_UNKNOWN=one", traits.unknown_category_tag) self.assertEqual(None, self.tag_matcher.value_provider.get("UNKNOWN")) self.assertEqual(False, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__combinations_of_2_categories(self): # XXX-JE-DUPLICATED: traits = self.traits test_patterns = [ ("case P00: 2 disabled category tags", True, [ traits.category1_disabled_tag, traits.category2_disabled_tag]), ("case P01: disabled and enabled category tags", True, [ traits.category1_disabled_tag, traits.category2_enabled_tag]), ("case P10: enabled and disabled category tags", True, [ traits.category1_enabled_tag, traits.category2_disabled_tag]), ("case P11: 2 enabled category tags", False, # -- SHOULD-RUN [ traits.category1_enabled_tag, traits.category2_enabled_tag]), # -- SPECIAL CASE: With negated category ("case N00: not-enabled and disabled category tags", True, [ traits.category1_not_enabled_tag, traits.category2_disabled_tag]), ("case N01: not-enabled and enabled category tags", True, [ traits.category1_not_enabled_tag, traits.category2_enabled_tag]), ("case N10: not-disabled and disabled category tags", True, [ traits.category1_not_disabled_tag, traits.category2_disabled_tag]), ("case N11: not-enabled and enabled category tags", False, # -- SHOULD-RUN [ traits.category1_not_disabled_tag, traits.category2_enabled_tag]), # -- SPECIAL CASE: With unknown category ("case 0x: disabled and unknown category tags", True, [ traits.category1_disabled_tag, traits.unknown_category_tag]), ("case 1x: enabled and unknown category tags", False, # SHOULD-RUN [ traits.category1_enabled_tag, traits.unknown_category_tag]), ] for case, expected, tags in test_patterns: actual_result = self.tag_matcher.should_exclude_with(tags) self.assertEqual(expected, actual_result, "%s: tags=%s" % (case, tags)) def test_should_run_with__negates_result_of_should_exclude_with(self): traits = self.traits test_patterns = [ ([ ], "case: No tags"), ([ "foo" ], "case: One non-category tag"), ([ "foo", "bar" ], "case: Two non-category tags"), ([ traits.category1_enabled_tag ], "case: enabled tag"), ([ traits.category1_enabled_tag, traits.category1_disabled_tag ], "case: enabled and other tag"), ([ traits.category1_enabled_tag, "foo" ], "case: enabled and foo tag"), ([ traits.category1_disabled_tag ], "case: other tag"), ([ traits.category1_disabled_tag, "foo" ], "case: other and foo tag"), ([ traits.category1_similar_tag ], "case: similar tag"), ([ "foo", traits.category1_similar_tag ], "case: foo and similar tag"), ] for tags, case in test_patterns: result1 = self.tag_matcher.should_run_with(tags) result2 = self.tag_matcher.should_exclude_with(tags) self.assertEqual(result1, not result2, "%s: tags=%s" % (case, tags)) self.assertEqual(not result1, result2, "%s: tags=%s" % (case, tags)) class TestPredicateTagMatcher(TestCase): def test_exclude_with__mechanics(self): predicate_function_blueprint = lambda tags: False predicate_function = Mock(predicate_function_blueprint) predicate_function.return_value = True tag_matcher = PredicateTagMatcher(predicate_function) tags = [ "foo", "bar" ] self.assertEqual(True, tag_matcher.should_exclude_with(tags)) predicate_function.assert_called_once_with(tags) self.assertEqual(True, predicate_function(tags)) def test_should_exclude_with__returns_true_when_predicate_is_true(self): predicate_always_true = lambda tags: True tag_matcher1 = PredicateTagMatcher(predicate_always_true) tags = [ "foo", "bar" ] self.assertEqual(True, tag_matcher1.should_exclude_with(tags)) self.assertEqual(True, predicate_always_true(tags)) def test_should_exclude_with__returns_true_when_predicate_is_true2(self): # -- CASE: Use predicate function instead of lambda. def predicate_contains_foo(tags): return any(x == "foo" for x in tags) tag_matcher2 = PredicateTagMatcher(predicate_contains_foo) tags = [ "foo", "bar" ] self.assertEqual(True, tag_matcher2.should_exclude_with(tags)) self.assertEqual(True, predicate_contains_foo(tags)) def test_should_exclude_with__returns_false_when_predicate_is_false(self): predicate_always_false = lambda tags: False tag_matcher1 = PredicateTagMatcher(predicate_always_false) tags = [ "foo", "bar" ] self.assertEqual(False, tag_matcher1.should_exclude_with(tags)) self.assertEqual(False, predicate_always_false(tags)) class TestPredicateTagMatcher(TestCase): def test_exclude_with__mechanics(self): predicate_function_blueprint = lambda tags: False predicate_function = Mock(predicate_function_blueprint) predicate_function.return_value = True tag_matcher = PredicateTagMatcher(predicate_function) tags = [ "foo", "bar" ] self.assertEqual(True, tag_matcher.should_exclude_with(tags)) predicate_function.assert_called_once_with(tags) self.assertEqual(True, predicate_function(tags)) def test_should_exclude_with__returns_true_when_predicate_is_true(self): predicate_always_true = lambda tags: True tag_matcher1 = PredicateTagMatcher(predicate_always_true) tags = [ "foo", "bar" ] self.assertEqual(True, tag_matcher1.should_exclude_with(tags)) self.assertEqual(True, predicate_always_true(tags)) def test_should_exclude_with__returns_true_when_predicate_is_true2(self): # -- CASE: Use predicate function instead of lambda. def predicate_contains_foo(tags): return any(x == "foo" for x in tags) tag_matcher2 = PredicateTagMatcher(predicate_contains_foo) tags = [ "foo", "bar" ] self.assertEqual(True, tag_matcher2.should_exclude_with(tags)) self.assertEqual(True, predicate_contains_foo(tags)) def test_should_exclude_with__returns_false_when_predicate_is_false(self): predicate_always_false = lambda tags: False tag_matcher1 = PredicateTagMatcher(predicate_always_false) tags = [ "foo", "bar" ] self.assertEqual(False, tag_matcher1.should_exclude_with(tags)) self.assertEqual(False, predicate_always_false(tags)) class TestCompositeTagMatcher(TestCase): @staticmethod def count_tag_matcher_with_result(tag_matchers, tags, result_value): count = 0 for tag_matcher in tag_matchers: current_result = tag_matcher.should_exclude_with(tags) if current_result == result_value: count += 1 return count def setUp(self): predicate_false = lambda tags: False predicate_contains_foo = lambda tags: any(x == "foo" for x in tags) self.tag_matcher_false = PredicateTagMatcher(predicate_false) self.tag_matcher_foo = PredicateTagMatcher(predicate_contains_foo) tag_matchers = [ self.tag_matcher_foo, self.tag_matcher_false ] self.ctag_matcher = CompositeTagMatcher(tag_matchers) def test_should_exclude_with__returns_true_when_any_tag_matcher_returns_true(self): test_patterns = [ ("case: with foo", ["foo", "bar"]), ("case: with foo2", ["foozy", "foo", "bar"]), ] for case, tags in test_patterns: actual_result = self.ctag_matcher.should_exclude_with(tags) self.assertEqual(True, actual_result, "%s: tags=%s" % (case, tags)) actual_true_count = self.count_tag_matcher_with_result( self.ctag_matcher.tag_matchers, tags, True) self.assertEqual(1, actual_true_count) def test_should_exclude_with__returns_false_when_no_tag_matcher_return_true(self): test_patterns = [ ("case: without foo", ["fool", "bar"]), ("case: without foo2", ["foozy", "bar"]), ] for case, tags in test_patterns: actual_result = self.ctag_matcher.should_exclude_with(tags) self.assertEqual(False, actual_result, "%s: tags=%s" % (case, tags)) actual_true_count = self.count_tag_matcher_with_result( self.ctag_matcher.tag_matchers, tags, True) self.assertEqual(0, actual_true_count) # ----------------------------------------------------------------------------- # PROTOTYPING CLASSES (deprecating) # ----------------------------------------------------------------------------- class TestOnlyWithCategoryTagMatcher(TestCase): TagMatcher = OnlyWithCategoryTagMatcher def setUp(self): category = "xxx" with warnings.catch_warnings(): warnings.simplefilter("ignore", DeprecationWarning) self.tag_matcher = OnlyWithCategoryTagMatcher(category, "alice") self.enabled_tag = self.TagMatcher.make_category_tag(category, "alice") self.similar_tag = self.TagMatcher.make_category_tag(category, "alice2") self.other_tag = self.TagMatcher.make_category_tag(category, "other") self.category = category def test_should_exclude_with__returns_false_with_enabled_tag(self): tags = [ self.enabled_tag ] self.assertEqual(False, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_false_with_enabled_tag_and_more(self): test_patterns = [ ([ self.enabled_tag, self.other_tag ], "case: first"), ([ self.other_tag, self.enabled_tag ], "case: last"), ([ "foo", self.enabled_tag, self.other_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(False, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_true_with_other_tag(self): tags = [ self.other_tag ] self.assertEqual(True, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_true_with_other_tag_and_more(self): test_patterns = [ ([ self.other_tag, "foo" ], "case: first"), ([ "foo", self.other_tag ], "case: last"), ([ "foo", self.other_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(True, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_true_with_similar_tag(self): tags = [ self.similar_tag ] self.assertEqual(True, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_true_with_similar_and_more(self): test_patterns = [ ([ self.similar_tag, "foo" ], "case: first"), ([ "foo", self.similar_tag ], "case: last"), ([ "foo", self.similar_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(True, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_false_without_category_tag(self): test_patterns = [ ([ ], "case: No tags"), ([ "foo" ], "case: One tag"), ([ "foo", "bar" ], "case: Two tags"), ] for tags, case in test_patterns: self.assertEqual(False, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_run_with__negates_result_of_should_exclude_with(self): test_patterns = [ ([ ], "case: No tags"), ([ "foo" ], "case: One non-category tag"), ([ "foo", "bar" ], "case: Two non-category tags"), ([ self.enabled_tag ], "case: enabled tag"), ([ self.enabled_tag, self.other_tag ], "case: enabled and other tag"), ([ self.enabled_tag, "foo" ], "case: enabled and foo tag"), ([ self.other_tag ], "case: other tag"), ([ self.other_tag, "foo" ], "case: other and foo tag"), ([ self.similar_tag ], "case: similar tag"), ([ "foo", self.similar_tag ], "case: foo and similar tag"), ] for tags, case in test_patterns: result1 = self.tag_matcher.should_run_with(tags) result2 = self.tag_matcher.should_exclude_with(tags) self.assertEqual(result1, not result2, "%s: tags=%s" % (case, tags)) self.assertEqual(not result1, result2, "%s: tags=%s" % (case, tags)) def test_make_category_tag__returns_category_tag_prefix_without_value(self): category = "xxx" tag1 = OnlyWithCategoryTagMatcher.make_category_tag(category) tag2 = OnlyWithCategoryTagMatcher.make_category_tag(category, None) tag3 = OnlyWithCategoryTagMatcher.make_category_tag(category, value=None) self.assertEqual("only.with_xxx=", tag1) self.assertEqual("only.with_xxx=", tag2) self.assertEqual("only.with_xxx=", tag3) self.assertTrue(tag1.startswith(OnlyWithCategoryTagMatcher.tag_prefix)) def test_make_category_tag__returns_category_tag_with_value(self): category = "xxx" tag1 = OnlyWithCategoryTagMatcher.make_category_tag(category, "alice") tag2 = OnlyWithCategoryTagMatcher.make_category_tag(category, "bob") self.assertEqual("only.with_xxx=alice", tag1) self.assertEqual("only.with_xxx=bob", tag2) def test_make_category_tag__returns_category_tag_with_tag_prefix(self): my_tag_prefix = "ONLY_WITH." category = "xxx" TagMatcher = OnlyWithCategoryTagMatcher tag0 = TagMatcher.make_category_tag(category, tag_prefix=my_tag_prefix) tag1 = TagMatcher.make_category_tag(category, "alice", my_tag_prefix) tag2 = TagMatcher.make_category_tag(category, "bob", tag_prefix=my_tag_prefix) self.assertEqual("ONLY_WITH.xxx=", tag0) self.assertEqual("ONLY_WITH.xxx=alice", tag1) self.assertEqual("ONLY_WITH.xxx=bob", tag2) self.assertTrue(tag1.startswith(my_tag_prefix)) def test_ctor__with_tag_prefix(self): tag_prefix = "ONLY_WITH." tag_matcher = OnlyWithCategoryTagMatcher("xxx", "alice", tag_prefix) tags = ["foo", "ONLY_WITH.xxx=foo", "only.with_xxx=bar", "bar"] actual_tags = tag_matcher.select_category_tags(tags) self.assertEqual(["ONLY_WITH.xxx=foo"], actual_tags) class Traits4OnlyWithAnyCategoryTagMatcher(object): """Test data for OnlyWithAnyCategoryTagMatcher.""" TagMatcher0 = OnlyWithCategoryTagMatcher TagMatcher = OnlyWithAnyCategoryTagMatcher category1_enabled_tag = TagMatcher0.make_category_tag("foo", "alice") category1_similar_tag = TagMatcher0.make_category_tag("foo", "alice2") category1_disabled_tag = TagMatcher0.make_category_tag("foo", "bob") category2_enabled_tag = TagMatcher0.make_category_tag("bar", "BOB") category2_similar_tag = TagMatcher0.make_category_tag("bar", "BOB2") category2_disabled_tag = TagMatcher0.make_category_tag("bar", "CHARLY") unknown_category_tag = TagMatcher0.make_category_tag("UNKNOWN", "one") class TestOnlyWithAnyCategoryTagMatcher(TestCase): TagMatcher = OnlyWithAnyCategoryTagMatcher traits = Traits4OnlyWithAnyCategoryTagMatcher def setUp(self): value_provider = { "foo": "alice", "bar": "BOB", } with warnings.catch_warnings(): warnings.simplefilter("ignore", DeprecationWarning) self.tag_matcher = self.TagMatcher(value_provider) # def test_deprecating_warning_is_issued(self): # value_provider = {"foo": "alice"} # with warnings.catch_warnings(record=True) as recorder: # warnings.simplefilter("always", DeprecationWarning) # tag_matcher = OnlyWithAnyCategoryTagMatcher(value_provider) # self.assertEqual(len(recorder), 1) # last_warning = recorder[-1] # assert issubclass(last_warning.category, DeprecationWarning) # assert "deprecated" in str(last_warning.message) def test_should_exclude_with__returns_false_with_enabled_tag(self): traits = self.traits tags1 = [ traits.category1_enabled_tag ] tags2 = [ traits.category2_enabled_tag ] self.assertEqual(False, self.tag_matcher.should_exclude_with(tags1)) self.assertEqual(False, self.tag_matcher.should_exclude_with(tags2)) def test_should_exclude_with__returns_false_with_enabled_tag_and_more(self): traits = self.traits test_patterns = [ ([ traits.category1_enabled_tag, traits.category1_disabled_tag ], "case: first"), ([ traits.category1_disabled_tag, traits.category1_enabled_tag ], "case: last"), ([ "foo", traits.category1_enabled_tag, traits.category1_disabled_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(False, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_true_with_other_tag(self): traits = self.traits tags = [ traits.category1_disabled_tag ] self.assertEqual(True, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_true_with_other_tag_and_more(self): traits = self.traits test_patterns = [ ([ traits.category1_disabled_tag, "foo" ], "case: first"), ([ "foo", traits.category1_disabled_tag ], "case: last"), ([ "foo", traits.category1_disabled_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(True, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_true_with_similar_tag(self): traits = self.traits tags = [ traits.category1_similar_tag ] self.assertEqual(True, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__returns_true_with_similar_and_more(self): traits = self.traits test_patterns = [ ([ traits.category1_similar_tag, "foo" ], "case: first"), ([ "foo", traits.category1_similar_tag ], "case: last"), ([ "foo", traits.category1_similar_tag, "bar" ], "case: middle"), ] for tags, case in test_patterns: self.assertEqual(True, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_false_without_category_tag(self): test_patterns = [ ([ ], "case: No tags"), ([ "foo" ], "case: One tag"), ([ "foo", "bar" ], "case: Two tags"), ] for tags, case in test_patterns: self.assertEqual(False, self.tag_matcher.should_exclude_with(tags), "%s: tags=%s" % (case, tags)) def test_should_exclude_with__returns_false_with_unknown_category_tag(self): """Tags from unknown categories, not supported by value_provider, should not be excluded. """ traits = self.traits tags = [ traits.unknown_category_tag ] self.assertEqual("only.with_UNKNOWN=one", traits.unknown_category_tag) self.assertEqual(None, self.tag_matcher.value_provider.get("UNKNOWN")) self.assertEqual(False, self.tag_matcher.should_exclude_with(tags)) def test_should_exclude_with__combinations_of_2_categories(self): traits = self.traits test_patterns = [ ("case 00: 2 disabled category tags", True, [ traits.category1_disabled_tag, traits.category2_disabled_tag]), ("case 01: disabled and enabled category tags", True, [ traits.category1_disabled_tag, traits.category2_enabled_tag]), ("case 10: enabled and disabled category tags", True, [ traits.category1_enabled_tag, traits.category2_disabled_tag]), ("case 11: 2 enabled category tags", False, # -- SHOULD-RUN [ traits.category1_enabled_tag, traits.category2_enabled_tag]), # -- SPECIAL CASE: With unknown category ("case 0x: disabled and unknown category tags", True, [ traits.category1_disabled_tag, traits.unknown_category_tag]), ("case 1x: enabled and unknown category tags", False, # SHOULD-RUN [ traits.category1_enabled_tag, traits.unknown_category_tag]), ] for case, expected, tags in test_patterns: actual_result = self.tag_matcher.should_exclude_with(tags) self.assertEqual(expected, actual_result, "%s: tags=%s" % (case, tags)) def test_should_run_with__negates_result_of_should_exclude_with(self): traits = self.traits test_patterns = [ ([ ], "case: No tags"), ([ "foo" ], "case: One non-category tag"), ([ "foo", "bar" ], "case: Two non-category tags"), ([ traits.category1_enabled_tag ], "case: enabled tag"), ([ traits.category1_enabled_tag, traits.category1_disabled_tag ], "case: enabled and other tag"), ([ traits.category1_enabled_tag, "foo" ], "case: enabled and foo tag"), ([ traits.category1_disabled_tag ], "case: other tag"), ([ traits.category1_disabled_tag, "foo" ], "case: other and foo tag"), ([ traits.category1_similar_tag ], "case: similar tag"), ([ "foo", traits.category1_similar_tag ], "case: foo and similar tag"), ] for tags, case in test_patterns: result1 = self.tag_matcher.should_run_with(tags) result2 = self.tag_matcher.should_exclude_with(tags) self.assertEqual(result1, not result2, "%s: tags=%s" % (case, tags)) self.assertEqual(not result1, result2, "%s: tags=%s" % (case, tags))

49.078082

110

0.643481

fd1783e09806177acb953da3225526f493e20ec4

111,659

py

Python

test/sql/test_types.py

thereisnosun/sqlalchemy

94aed8b17d21da9a20be4b092f6a60b12f60b761

[ "MIT" ]

1

2020-12-09T21:56:16.000Z

test/sql/test_types.py

thereisnosun/sqlalchemy

94aed8b17d21da9a20be4b092f6a60b12f60b761

[ "MIT" ]

null

test/sql/test_types.py

thereisnosun/sqlalchemy

94aed8b17d21da9a20be4b092f6a60b12f60b761

[ "MIT" ]

1

2020-12-04T14:51:39.000Z

# coding: utf-8 import datetime import decimal import importlib import operator import os import sqlalchemy as sa from sqlalchemy import and_ from sqlalchemy import ARRAY from sqlalchemy import BigInteger from sqlalchemy import bindparam from sqlalchemy import BLOB from sqlalchemy import BOOLEAN from sqlalchemy import Boolean from sqlalchemy import cast from sqlalchemy import CHAR from sqlalchemy import CLOB from sqlalchemy import DATE from sqlalchemy import Date from sqlalchemy import DATETIME from sqlalchemy import DateTime from sqlalchemy import DECIMAL from sqlalchemy import dialects from sqlalchemy import distinct from sqlalchemy import Enum from sqlalchemy import exc from sqlalchemy import FLOAT from sqlalchemy import Float from sqlalchemy import func from sqlalchemy import inspection from sqlalchemy import INTEGER from sqlalchemy import Integer from sqlalchemy import Interval from sqlalchemy import JSON from sqlalchemy import LargeBinary from sqlalchemy import literal from sqlalchemy import MetaData from sqlalchemy import NCHAR from sqlalchemy import NUMERIC from sqlalchemy import Numeric from sqlalchemy import NVARCHAR from sqlalchemy import PickleType from sqlalchemy import REAL from sqlalchemy import select from sqlalchemy import SMALLINT from sqlalchemy import SmallInteger from sqlalchemy import String from sqlalchemy import testing from sqlalchemy import Text from sqlalchemy import text from sqlalchemy import TIME from sqlalchemy import Time from sqlalchemy import TIMESTAMP from sqlalchemy import type_coerce from sqlalchemy import TypeDecorator from sqlalchemy import types from sqlalchemy import Unicode from sqlalchemy import util from sqlalchemy import VARCHAR from sqlalchemy.engine import default from sqlalchemy.schema import AddConstraint from sqlalchemy.schema import CheckConstraint from sqlalchemy.sql import column from sqlalchemy.sql import ddl from sqlalchemy.sql import elements from sqlalchemy.sql import null from sqlalchemy.sql import operators from sqlalchemy.sql import sqltypes from sqlalchemy.sql import table from sqlalchemy.sql import visitors from sqlalchemy.testing import assert_raises from sqlalchemy.testing import assert_raises_message from sqlalchemy.testing import AssertsCompiledSQL from sqlalchemy.testing import AssertsExecutionResults from sqlalchemy.testing import engines from sqlalchemy.testing import eq_ from sqlalchemy.testing import expect_warnings from sqlalchemy.testing import fixtures from sqlalchemy.testing import is_ from sqlalchemy.testing import is_not from sqlalchemy.testing import mock from sqlalchemy.testing import pickleable from sqlalchemy.testing.schema import Column from sqlalchemy.testing.schema import Table from sqlalchemy.testing.util import picklers from sqlalchemy.testing.util import round_decimal from sqlalchemy.util import OrderedDict from sqlalchemy.util import u def _all_dialect_modules(): return [ importlib.import_module("sqlalchemy.dialects.%s" % d) for d in dialects.__all__ if not d.startswith("_") ] def _all_dialects(): return [d.base.dialect() for d in _all_dialect_modules()] def _types_for_mod(mod): for key in dir(mod): typ = getattr(mod, key) if not isinstance(typ, type) or not issubclass(typ, types.TypeEngine): continue yield typ def _all_types(omit_special_types=False): seen = set() for typ in _types_for_mod(types): if omit_special_types and typ in ( types.TypeDecorator, types.TypeEngine, types.Variant, ): continue if typ in seen: continue seen.add(typ) yield typ for dialect in _all_dialect_modules(): for typ in _types_for_mod(dialect): if typ in seen: continue seen.add(typ) yield typ class AdaptTest(fixtures.TestBase): @testing.combinations(((t,) for t in _types_for_mod(types)), id_="n") def test_uppercase_importable(self, typ): if typ.__name__ == typ.__name__.upper(): assert getattr(sa, typ.__name__) is typ assert typ.__name__ in types.__all__ @testing.combinations( ((d.name, d) for d in _all_dialects()), argnames="dialect", id_="ia" ) @testing.combinations( (REAL(), "REAL"), (FLOAT(), "FLOAT"), (NUMERIC(), "NUMERIC"), (DECIMAL(), "DECIMAL"), (INTEGER(), "INTEGER"), (SMALLINT(), "SMALLINT"), (TIMESTAMP(), ("TIMESTAMP", "TIMESTAMP WITHOUT TIME ZONE")), (DATETIME(), "DATETIME"), (DATE(), "DATE"), (TIME(), ("TIME", "TIME WITHOUT TIME ZONE")), (CLOB(), "CLOB"), (VARCHAR(10), ("VARCHAR(10)", "VARCHAR(10 CHAR)")), ( NVARCHAR(10), ("NVARCHAR(10)", "NATIONAL VARCHAR(10)", "NVARCHAR2(10)"), ), (CHAR(), "CHAR"), (NCHAR(), ("NCHAR", "NATIONAL CHAR")), (BLOB(), ("BLOB", "BLOB SUB_TYPE 0")), (BOOLEAN(), ("BOOLEAN", "BOOL", "INTEGER")), argnames="type_, expected", id_="ra", ) def test_uppercase_rendering(self, dialect, type_, expected): """Test that uppercase types from types.py always render as their type. As of SQLA 0.6, using an uppercase type means you want specifically that type. If the database in use doesn't support that DDL, it (the DB backend) should raise an error - it means you should be using a lowercased (genericized) type. """ if isinstance(expected, str): expected = (expected,) try: compiled = type_.compile(dialect=dialect) except NotImplementedError: return assert compiled in expected, "%r matches none of %r for dialect %s" % ( compiled, expected, dialect.name, ) assert ( str(types.to_instance(type_)) in expected ), "default str() of type %r not expected, %r" % (type_, expected) def _adaptions(): for typ in _all_types(omit_special_types=True): # up adapt from LowerCase to UPPERCASE, # as well as to all non-sqltypes up_adaptions = [typ] + typ.__subclasses__() yield "%s.%s" % ( typ.__module__, typ.__name__, ), False, typ, up_adaptions for subcl in typ.__subclasses__(): if ( subcl is not typ and typ is not TypeDecorator and "sqlalchemy" in subcl.__module__ ): yield "%s.%s" % ( subcl.__module__, subcl.__name__, ), True, subcl, [typ] @testing.combinations(_adaptions(), id_="iaaa") def test_adapt_method(self, is_down_adaption, typ, target_adaptions): """ensure all types have a working adapt() method, which creates a distinct copy. The distinct copy ensures that when we cache the adapted() form of a type against the original in a weak key dictionary, a cycle is not formed. This test doesn't test type-specific arguments of adapt() beyond their defaults. """ if issubclass(typ, ARRAY): t1 = typ(String) else: t1 = typ() for cls in target_adaptions: if (is_down_adaption and issubclass(typ, sqltypes.Emulated)) or ( not is_down_adaption and issubclass(cls, sqltypes.Emulated) ): continue # print("ADAPT %s -> %s" % (t1.__class__, cls)) t2 = t1.adapt(cls) assert t1 is not t2 if is_down_adaption: t2, t1 = t1, t2 for k in t1.__dict__: if k in ( "impl", "_is_oracle_number", "_create_events", "create_constraint", "inherit_schema", "schema", "metadata", "name", ): continue # assert each value was copied, or that # the adapted type has a more specific # value than the original (i.e. SQL Server # applies precision=24 for REAL) assert ( getattr(t2, k) == t1.__dict__[k] or t1.__dict__[k] is None ) eq_(t1.evaluates_none().should_evaluate_none, True) def test_python_type(self): eq_(types.Integer().python_type, int) eq_(types.Numeric().python_type, decimal.Decimal) eq_(types.Numeric(asdecimal=False).python_type, float) eq_(types.LargeBinary().python_type, util.binary_type) eq_(types.Float().python_type, float) eq_(types.Interval().python_type, datetime.timedelta) eq_(types.Date().python_type, datetime.date) eq_(types.DateTime().python_type, datetime.datetime) eq_(types.String().python_type, str) eq_(types.Unicode().python_type, util.text_type) eq_(types.Enum("one", "two", "three").python_type, str) assert_raises( NotImplementedError, lambda: types.TypeEngine().python_type ) @testing.uses_deprecated() @testing.combinations(*[(t,) for t in _all_types(omit_special_types=True)]) def test_repr(self, typ): if issubclass(typ, ARRAY): t1 = typ(String) else: t1 = typ() repr(t1) @testing.uses_deprecated() @testing.combinations(*[(t,) for t in _all_types(omit_special_types=True)]) def test_str(self, typ): if issubclass(typ, ARRAY): t1 = typ(String) else: t1 = typ() str(t1) def test_str_third_party(self): class TINYINT(types.TypeEngine): __visit_name__ = "TINYINT" eq_(str(TINYINT()), "TINYINT") def test_str_third_party_uppercase_no_visit_name(self): class TINYINT(types.TypeEngine): pass eq_(str(TINYINT()), "TINYINT") def test_str_third_party_camelcase_no_visit_name(self): class TinyInt(types.TypeEngine): pass eq_(str(TinyInt()), "TinyInt()") def test_adapt_constructor_copy_override_kw(self): """test that adapt() can accept kw args that override the state of the original object. This essentially is testing the behavior of util.constructor_copy(). """ t1 = String(length=50) t2 = t1.adapt(Text) eq_(t2.length, 50) def test_convert_unicode_text_type(self): with testing.expect_deprecated( "The String.convert_unicode parameter is deprecated" ): eq_(types.String(convert_unicode=True).python_type, util.text_type) class TypeAffinityTest(fixtures.TestBase): @testing.combinations( (String(), String), (VARCHAR(), String), (Date(), Date), (LargeBinary(), types._Binary), id_="rn", ) def test_type_affinity(self, type_, affin): eq_(type_._type_affinity, affin) @testing.combinations( (Integer(), SmallInteger(), True), (Integer(), String(), False), (Integer(), Integer(), True), (Text(), String(), True), (Text(), Unicode(), True), (LargeBinary(), Integer(), False), (LargeBinary(), PickleType(), True), (PickleType(), LargeBinary(), True), (PickleType(), PickleType(), True), id_="rra", ) def test_compare_type_affinity(self, t1, t2, comp): eq_(t1._compare_type_affinity(t2), comp, "%s %s" % (t1, t2)) def test_decorator_doesnt_cache(self): from sqlalchemy.dialects import postgresql class MyType(TypeDecorator): impl = CHAR def load_dialect_impl(self, dialect): if dialect.name == "postgresql": return dialect.type_descriptor(postgresql.UUID()) else: return dialect.type_descriptor(CHAR(32)) t1 = MyType() d = postgresql.dialect() assert t1._type_affinity is String assert t1.dialect_impl(d)._type_affinity is postgresql.UUID class PickleTypesTest(fixtures.TestBase): @testing.combinations( ("Boo", Boolean()), ("Str", String()), ("Tex", Text()), ("Uni", Unicode()), ("Int", Integer()), ("Sma", SmallInteger()), ("Big", BigInteger()), ("Num", Numeric()), ("Flo", Float()), ("Dat", DateTime()), ("Dat", Date()), ("Tim", Time()), ("Lar", LargeBinary()), ("Pic", PickleType()), ("Int", Interval()), id_="ar", ) def test_pickle_types(self, name, type_): column_type = Column(name, type_) meta = MetaData() Table("foo", meta, column_type) for loads, dumps in picklers(): loads(dumps(column_type)) loads(dumps(meta)) class _UserDefinedTypeFixture(object): @classmethod def define_tables(cls, metadata): class MyType(types.UserDefinedType): def get_col_spec(self): return "VARCHAR(100)" def bind_processor(self, dialect): def process(value): return "BIND_IN" + value return process def result_processor(self, dialect, coltype): def process(value): return value + "BIND_OUT" return process def adapt(self, typeobj): return typeobj() class MyDecoratedType(types.TypeDecorator): impl = String def bind_processor(self, dialect): impl_processor = super(MyDecoratedType, self).bind_processor( dialect ) or (lambda value: value) def process(value): return "BIND_IN" + impl_processor(value) return process def result_processor(self, dialect, coltype): impl_processor = super(MyDecoratedType, self).result_processor( dialect, coltype ) or (lambda value: value) def process(value): return impl_processor(value) + "BIND_OUT" return process def copy(self): return MyDecoratedType() class MyNewUnicodeType(types.TypeDecorator): impl = Unicode def process_bind_param(self, value, dialect): return "BIND_IN" + value def process_result_value(self, value, dialect): return value + "BIND_OUT" def copy(self): return MyNewUnicodeType(self.impl.length) class MyNewIntType(types.TypeDecorator): impl = Integer def process_bind_param(self, value, dialect): return value * 10 def process_result_value(self, value, dialect): return value * 10 def copy(self): return MyNewIntType() class MyNewIntSubClass(MyNewIntType): def process_result_value(self, value, dialect): return value * 15 def copy(self): return MyNewIntSubClass() class MyUnicodeType(types.TypeDecorator): impl = Unicode def bind_processor(self, dialect): impl_processor = super(MyUnicodeType, self).bind_processor( dialect ) or (lambda value: value) def process(value): return "BIND_IN" + impl_processor(value) return process def result_processor(self, dialect, coltype): impl_processor = super(MyUnicodeType, self).result_processor( dialect, coltype ) or (lambda value: value) def process(value): return impl_processor(value) + "BIND_OUT" return process def copy(self): return MyUnicodeType(self.impl.length) Table( "users", metadata, Column("user_id", Integer, primary_key=True), # totall custom type Column("goofy", MyType, nullable=False), # decorated type with an argument, so its a String Column("goofy2", MyDecoratedType(50), nullable=False), Column("goofy4", MyUnicodeType(50), nullable=False), Column("goofy7", MyNewUnicodeType(50), nullable=False), Column("goofy8", MyNewIntType, nullable=False), Column("goofy9", MyNewIntSubClass, nullable=False), ) class UserDefinedRoundTripTest(_UserDefinedTypeFixture, fixtures.TablesTest): __backend__ = True def _data_fixture(self): users = self.tables.users with testing.db.connect() as conn: conn.execute( users.insert(), dict( user_id=2, goofy="jack", goofy2="jack", goofy4=util.u("jack"), goofy7=util.u("jack"), goofy8=12, goofy9=12, ), ) conn.execute( users.insert(), dict( user_id=3, goofy="lala", goofy2="lala", goofy4=util.u("lala"), goofy7=util.u("lala"), goofy8=15, goofy9=15, ), ) conn.execute( users.insert(), dict( user_id=4, goofy="fred", goofy2="fred", goofy4=util.u("fred"), goofy7=util.u("fred"), goofy8=9, goofy9=9, ), ) def test_processing(self, connection): users = self.tables.users self._data_fixture() result = connection.execute( users.select().order_by(users.c.user_id) ).fetchall() for assertstr, assertint, assertint2, row in zip( [ "BIND_INjackBIND_OUT", "BIND_INlalaBIND_OUT", "BIND_INfredBIND_OUT", ], [1200, 1500, 900], [1800, 2250, 1350], result, ): for col in list(row)[1:5]: eq_(col, assertstr) eq_(row[5], assertint) eq_(row[6], assertint2) for col in row[3], row[4]: assert isinstance(col, util.text_type) def test_plain_in(self, connection): users = self.tables.users self._data_fixture() stmt = ( select(users.c.user_id, users.c.goofy8) .where(users.c.goofy8.in_([15, 9])) .order_by(users.c.user_id) ) result = connection.execute(stmt, {"goofy": [15, 9]}) eq_(result.fetchall(), [(3, 1500), (4, 900)]) def test_expanding_in(self, connection): users = self.tables.users self._data_fixture() stmt = ( select(users.c.user_id, users.c.goofy8) .where(users.c.goofy8.in_(bindparam("goofy", expanding=True))) .order_by(users.c.user_id) ) result = connection.execute(stmt, {"goofy": [15, 9]}) eq_(result.fetchall(), [(3, 1500), (4, 900)]) class UserDefinedTest( _UserDefinedTypeFixture, fixtures.TablesTest, AssertsCompiledSQL ): run_create_tables = None run_inserts = None run_deletes = None """tests user-defined types.""" def test_typedecorator_literal_render(self): class MyType(types.TypeDecorator): impl = String def process_literal_param(self, value, dialect): return "HI->%s<-THERE" % value self.assert_compile( select(literal("test", MyType)), "SELECT 'HI->test<-THERE' AS anon_1", dialect="default", literal_binds=True, ) def test_kw_colspec(self): class MyType(types.UserDefinedType): def get_col_spec(self, **kw): return "FOOB %s" % kw["type_expression"].name class MyOtherType(types.UserDefinedType): def get_col_spec(self): return "BAR" t = Table("t", MetaData(), Column("bar", MyType, nullable=False)) self.assert_compile(ddl.CreateColumn(t.c.bar), "bar FOOB bar NOT NULL") t = Table("t", MetaData(), Column("bar", MyOtherType, nullable=False)) self.assert_compile(ddl.CreateColumn(t.c.bar), "bar BAR NOT NULL") def test_typedecorator_literal_render_fallback_bound(self): # fall back to process_bind_param for literal # value rendering. class MyType(types.TypeDecorator): impl = String def process_bind_param(self, value, dialect): return "HI->%s<-THERE" % value self.assert_compile( select(literal("test", MyType)), "SELECT 'HI->test<-THERE' AS anon_1", dialect="default", literal_binds=True, ) def test_typedecorator_impl(self): for impl_, exp, kw in [ (Float, "FLOAT", {}), (Float, "FLOAT(2)", {"precision": 2}), (Float(2), "FLOAT(2)", {"precision": 4}), (Numeric(19, 2), "NUMERIC(19, 2)", {}), ]: for dialect_ in ( dialects.postgresql, dialects.mssql, dialects.mysql, ): dialect_ = dialect_.dialect() raw_impl = types.to_instance(impl_, **kw) class MyType(types.TypeDecorator): impl = impl_ dec_type = MyType(**kw) eq_(dec_type.impl.__class__, raw_impl.__class__) raw_dialect_impl = raw_impl.dialect_impl(dialect_) dec_dialect_impl = dec_type.dialect_impl(dialect_) eq_(dec_dialect_impl.__class__, MyType) eq_( raw_dialect_impl.__class__, dec_dialect_impl.impl.__class__ ) self.assert_compile(MyType(**kw), exp, dialect=dialect_) def test_user_defined_typedec_impl(self): class MyType(types.TypeDecorator): impl = Float def load_dialect_impl(self, dialect): if dialect.name == "sqlite": return String(50) else: return super(MyType, self).load_dialect_impl(dialect) sl = dialects.sqlite.dialect() pg = dialects.postgresql.dialect() t = MyType() self.assert_compile(t, "VARCHAR(50)", dialect=sl) self.assert_compile(t, "FLOAT", dialect=pg) eq_( t.dialect_impl(dialect=sl).impl.__class__, String().dialect_impl(dialect=sl).__class__, ) eq_( t.dialect_impl(dialect=pg).impl.__class__, Float().dialect_impl(pg).__class__, ) def test_type_decorator_repr(self): class MyType(TypeDecorator): impl = VARCHAR eq_(repr(MyType(45)), "MyType(length=45)") def test_user_defined_typedec_impl_bind(self): class TypeOne(types.TypeEngine): def bind_processor(self, dialect): def go(value): return value + " ONE" return go class TypeTwo(types.TypeEngine): def bind_processor(self, dialect): def go(value): return value + " TWO" return go class MyType(types.TypeDecorator): impl = TypeOne def load_dialect_impl(self, dialect): if dialect.name == "sqlite": return TypeOne() else: return TypeTwo() def process_bind_param(self, value, dialect): return "MYTYPE " + value sl = dialects.sqlite.dialect() pg = dialects.postgresql.dialect() t = MyType() eq_(t._cached_bind_processor(sl)("foo"), "MYTYPE foo ONE") eq_(t._cached_bind_processor(pg)("foo"), "MYTYPE foo TWO") def test_user_defined_dialect_specific_args(self): class MyType(types.UserDefinedType): def __init__(self, foo="foo", **kwargs): super(MyType, self).__init__() self.foo = foo self.dialect_specific_args = kwargs def adapt(self, cls): return cls(foo=self.foo, **self.dialect_specific_args) t = MyType(bar="bar") a = t.dialect_impl(testing.db.dialect) eq_(a.foo, "foo") eq_(a.dialect_specific_args["bar"], "bar") class StringConvertUnicodeTest(fixtures.TestBase): @testing.combinations((Unicode,), (String,), argnames="datatype") @testing.combinations((True,), (False,), argnames="convert_unicode") @testing.combinations( (String.RETURNS_CONDITIONAL,), (String.RETURNS_BYTES,), (String.RETURNS_UNICODE), argnames="returns_unicode_strings", ) def test_convert_unicode( self, datatype, convert_unicode, returns_unicode_strings ): s1 = datatype() dialect = mock.Mock( returns_unicode_strings=returns_unicode_strings, encoding="utf-8", convert_unicode=convert_unicode, ) proc = s1.result_processor(dialect, None) string = u("méil") bytestring = string.encode("utf-8") if ( datatype is Unicode or convert_unicode ) and returns_unicode_strings in ( String.RETURNS_CONDITIONAL, String.RETURNS_BYTES, ): eq_(proc(bytestring), string) if returns_unicode_strings is String.RETURNS_CONDITIONAL: eq_(proc(string), string) else: if util.py3k: # trying to decode a unicode assert_raises(TypeError, proc, string) else: assert_raises(UnicodeEncodeError, proc, string) else: is_(proc, None) class TypeCoerceCastTest(fixtures.TablesTest): __backend__ = True @classmethod def define_tables(cls, metadata): class MyType(types.TypeDecorator): impl = String(50) def process_bind_param(self, value, dialect): return "BIND_IN" + str(value) def process_result_value(self, value, dialect): return value + "BIND_OUT" cls.MyType = MyType Table("t", metadata, Column("data", String(50))) def test_insert_round_trip_cast(self, connection): self._test_insert_round_trip(cast, connection) def test_insert_round_trip_type_coerce(self, connection): self._test_insert_round_trip(type_coerce, connection) def _test_insert_round_trip(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) eq_( conn.execute(select(coerce_fn(t.c.data, MyType))).fetchall(), [("BIND_INd1BIND_OUT",)], ) def test_coerce_from_nulltype_cast(self, connection): self._test_coerce_from_nulltype(cast, connection) def test_coerce_from_nulltype_type_coerce(self, connection): self._test_coerce_from_nulltype(type_coerce, connection) def _test_coerce_from_nulltype(self, coerce_fn, conn): MyType = self.MyType # test coerce from nulltype - e.g. use an object that # does't match to a known type class MyObj(object): def __str__(self): return "THISISMYOBJ" t = self.tables.t conn.execute(t.insert().values(data=coerce_fn(MyObj(), MyType))) eq_( conn.execute(select(coerce_fn(t.c.data, MyType))).fetchall(), [("BIND_INTHISISMYOBJBIND_OUT",)], ) def test_vs_non_coerced_cast(self, connection): self._test_vs_non_coerced(cast, connection) def test_vs_non_coerced_type_coerce(self, connection): self._test_vs_non_coerced(type_coerce, connection) def _test_vs_non_coerced(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) eq_( conn.execute( select(t.c.data, coerce_fn(t.c.data, MyType)) ).fetchall(), [("BIND_INd1", "BIND_INd1BIND_OUT")], ) def test_vs_non_coerced_alias_cast(self, connection): self._test_vs_non_coerced_alias(cast, connection) def test_vs_non_coerced_alias_type_coerce(self, connection): self._test_vs_non_coerced_alias(type_coerce, connection) def _test_vs_non_coerced_alias(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) eq_( conn.execute( select(t.c.data.label("x"), coerce_fn(t.c.data, MyType)) .alias() .select() ).fetchall(), [("BIND_INd1", "BIND_INd1BIND_OUT")], ) def test_vs_non_coerced_where_cast(self, connection): self._test_vs_non_coerced_where(cast, connection) def test_vs_non_coerced_where_type_coerce(self, connection): self._test_vs_non_coerced_where(type_coerce, connection) def _test_vs_non_coerced_where(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) # coerce on left side eq_( conn.execute( select(t.c.data, coerce_fn(t.c.data, MyType)).where( coerce_fn(t.c.data, MyType) == "d1" ) ).fetchall(), [("BIND_INd1", "BIND_INd1BIND_OUT")], ) # coerce on right side eq_( conn.execute( select(t.c.data, coerce_fn(t.c.data, MyType)).where( t.c.data == coerce_fn("d1", MyType) ) ).fetchall(), [("BIND_INd1", "BIND_INd1BIND_OUT")], ) def test_coerce_none_cast(self, connection): self._test_coerce_none(cast, connection) def test_coerce_none_type_coerce(self, connection): self._test_coerce_none(type_coerce, connection) def _test_coerce_none(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) eq_( conn.execute( select(t.c.data, coerce_fn(t.c.data, MyType)).where( t.c.data == coerce_fn(None, MyType) ) ).fetchall(), [], ) eq_( conn.execute( select(t.c.data, coerce_fn(t.c.data, MyType)).where( coerce_fn(t.c.data, MyType) == None ) ).fetchall(), # noqa [], ) def test_resolve_clause_element_cast(self, connection): self._test_resolve_clause_element(cast, connection) def test_resolve_clause_element_type_coerce(self, connection): self._test_resolve_clause_element(type_coerce, connection) def _test_resolve_clause_element(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) class MyFoob(object): def __clause_element__(self): return t.c.data eq_( conn.execute( select(t.c.data, coerce_fn(MyFoob(), MyType)) ).fetchall(), [("BIND_INd1", "BIND_INd1BIND_OUT")], ) def test_cast_replace_col_w_bind(self, connection): self._test_replace_col_w_bind(cast, connection) def test_type_coerce_replace_col_w_bind(self, connection): self._test_replace_col_w_bind(type_coerce, connection) def _test_replace_col_w_bind(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) stmt = select(t.c.data, coerce_fn(t.c.data, MyType)) def col_to_bind(col): if col is t.c.data: return bindparam(None, "x", type_=col.type, unique=True) return None # ensure we evaluate the expression so that we can see # the clone resets this info stmt.compile() new_stmt = visitors.replacement_traverse(stmt, {}, col_to_bind) # original statement eq_( conn.execute(stmt).fetchall(), [("BIND_INd1", "BIND_INd1BIND_OUT")], ) # replaced with binds; CAST can't affect the bound parameter # on the way in here eq_( conn.execute(new_stmt).fetchall(), [("x", "BIND_INxBIND_OUT")] if coerce_fn is type_coerce else [("x", "xBIND_OUT")], ) def test_cast_bind(self, connection): self._test_bind(cast, connection) def test_type_bind(self, connection): self._test_bind(type_coerce, connection) def _test_bind(self, coerce_fn, conn): MyType = self.MyType t = self.tables.t conn.execute(t.insert().values(data=coerce_fn("d1", MyType))) stmt = select( bindparam(None, "x", String(50), unique=True), coerce_fn(bindparam(None, "x", String(50), unique=True), MyType), ) eq_( conn.execute(stmt).fetchall(), [("x", "BIND_INxBIND_OUT")] if coerce_fn is type_coerce else [("x", "xBIND_OUT")], ) def test_cast_existing_typed(self, connection): MyType = self.MyType coerce_fn = cast # when cast() is given an already typed value, # the type does not take effect on the value itself. eq_( connection.scalar(select(coerce_fn(literal("d1"), MyType))), "d1BIND_OUT", ) def test_type_coerce_existing_typed(self, connection): MyType = self.MyType coerce_fn = type_coerce t = self.tables.t # type_coerce does upgrade the given expression to the # given type. connection.execute( t.insert().values(data=coerce_fn(literal("d1"), MyType)) ) eq_( connection.execute(select(coerce_fn(t.c.data, MyType))).fetchall(), [("BIND_INd1BIND_OUT",)], ) class VariantTest(fixtures.TestBase, AssertsCompiledSQL): def setup(self): class UTypeOne(types.UserDefinedType): def get_col_spec(self): return "UTYPEONE" def bind_processor(self, dialect): def process(value): return value + "UONE" return process class UTypeTwo(types.UserDefinedType): def get_col_spec(self): return "UTYPETWO" def bind_processor(self, dialect): def process(value): return value + "UTWO" return process class UTypeThree(types.UserDefinedType): def get_col_spec(self): return "UTYPETHREE" self.UTypeOne = UTypeOne self.UTypeTwo = UTypeTwo self.UTypeThree = UTypeThree self.variant = self.UTypeOne().with_variant( self.UTypeTwo(), "postgresql" ) self.composite = self.variant.with_variant(self.UTypeThree(), "mysql") def test_illegal_dupe(self): v = self.UTypeOne().with_variant(self.UTypeTwo(), "postgresql") assert_raises_message( exc.ArgumentError, "Dialect 'postgresql' is already present " "in the mapping for this Variant", lambda: v.with_variant(self.UTypeThree(), "postgresql"), ) def test_compile(self): self.assert_compile(self.variant, "UTYPEONE", use_default_dialect=True) self.assert_compile( self.variant, "UTYPEONE", dialect=dialects.mysql.dialect() ) self.assert_compile( self.variant, "UTYPETWO", dialect=dialects.postgresql.dialect() ) def test_to_instance(self): self.assert_compile( self.UTypeOne().with_variant(self.UTypeTwo, "postgresql"), "UTYPETWO", dialect=dialects.postgresql.dialect(), ) def test_compile_composite(self): self.assert_compile( self.composite, "UTYPEONE", use_default_dialect=True ) self.assert_compile( self.composite, "UTYPETHREE", dialect=dialects.mysql.dialect() ) self.assert_compile( self.composite, "UTYPETWO", dialect=dialects.postgresql.dialect() ) def test_bind_process(self): eq_( self.variant._cached_bind_processor(dialects.mysql.dialect())( "foo" ), "fooUONE", ) eq_( self.variant._cached_bind_processor(default.DefaultDialect())( "foo" ), "fooUONE", ) eq_( self.variant._cached_bind_processor(dialects.postgresql.dialect())( "foo" ), "fooUTWO", ) def test_bind_process_composite(self): assert ( self.composite._cached_bind_processor(dialects.mysql.dialect()) is None ) eq_( self.composite._cached_bind_processor(default.DefaultDialect())( "foo" ), "fooUONE", ) eq_( self.composite._cached_bind_processor( dialects.postgresql.dialect() )("foo"), "fooUTWO", ) def test_comparator_variant(self): expr = column("x", self.variant) == "bar" is_(expr.right.type, self.variant) @testing.only_on("sqlite") @testing.provide_metadata def test_round_trip(self): variant = self.UTypeOne().with_variant(self.UTypeTwo(), "sqlite") t = Table("t", self.metadata, Column("x", variant)) with testing.db.connect() as conn: t.create(conn) conn.execute(t.insert(), x="foo") eq_(conn.scalar(select(t.c.x).where(t.c.x == "foo")), "fooUTWO") @testing.only_on("sqlite") @testing.provide_metadata def test_round_trip_sqlite_datetime(self): variant = DateTime().with_variant( dialects.sqlite.DATETIME(truncate_microseconds=True), "sqlite" ) t = Table("t", self.metadata, Column("x", variant)) with testing.db.connect() as conn: t.create(conn) conn.execute( t.insert(), x=datetime.datetime(2015, 4, 18, 10, 15, 17, 4839) ) eq_( conn.scalar( select(t.c.x).where( t.c.x == datetime.datetime(2015, 4, 18, 10, 15, 17, 1059) ) ), datetime.datetime(2015, 4, 18, 10, 15, 17), ) class UnicodeTest(fixtures.TestBase): """Exercise the Unicode and related types. Note: unicode round trip tests are now in sqlalchemy/testing/suite/test_types.py. """ __backend__ = True data = util.u( "Alors vous imaginez ma surprise, au lever du jour, quand " "une drôle de petite voix m’a réveillé. " "Elle disait: « S’il vous plaît… dessine-moi un mouton! »" ) def test_unicode_warnings_typelevel_native_unicode(self): unicodedata = self.data u = Unicode() dialect = default.DefaultDialect() dialect.supports_unicode_binds = True uni = u.dialect_impl(dialect).bind_processor(dialect) if util.py3k: assert_raises(exc.SAWarning, uni, b"x") assert isinstance(uni(unicodedata), str) else: assert_raises(exc.SAWarning, uni, "x") assert isinstance(uni(unicodedata), unicode) # noqa def test_unicode_warnings_typelevel_sqla_unicode(self): unicodedata = self.data u = Unicode() dialect = default.DefaultDialect() dialect.supports_unicode_binds = False uni = u.dialect_impl(dialect).bind_processor(dialect) assert_raises(exc.SAWarning, uni, util.b("x")) assert isinstance(uni(unicodedata), util.binary_type) eq_(uni(unicodedata), unicodedata.encode("utf-8")) def test_unicode_warnings_totally_wrong_type(self): u = Unicode() dialect = default.DefaultDialect() dialect.supports_unicode_binds = False uni = u.dialect_impl(dialect).bind_processor(dialect) with expect_warnings( "Unicode type received non-unicode bind param value 5." ): eq_(uni(5), 5) class EnumTest(AssertsCompiledSQL, fixtures.TablesTest): __backend__ = True class SomeEnum(object): # Implements PEP 435 in the minimal fashion needed by SQLAlchemy __members__ = OrderedDict() def __init__(self, name, value, alias=None): self.name = name self.value = value self.__members__[name] = self setattr(self.__class__, name, self) if alias: self.__members__[alias] = self setattr(self.__class__, alias, self) class SomeOtherEnum(SomeEnum): __members__ = OrderedDict() one = SomeEnum("one", 1) two = SomeEnum("two", 2) three = SomeEnum("three", 3, "four") a_member = SomeEnum("AMember", "a") b_member = SomeEnum("BMember", "b") other_one = SomeOtherEnum("one", 1) other_two = SomeOtherEnum("two", 2) other_three = SomeOtherEnum("three", 3) other_a_member = SomeOtherEnum("AMember", "a") other_b_member = SomeOtherEnum("BMember", "b") @staticmethod def get_enum_string_values(some_enum): return [str(v.value) for v in some_enum.__members__.values()] @classmethod def define_tables(cls, metadata): # note create_constraint has changed in 1.4 as of #5367 Table( "enum_table", metadata, Column("id", Integer, primary_key=True), Column( "someenum", Enum( "one", "two", "three", name="myenum", create_constraint=True, ), ), ) Table( "non_native_enum_table", metadata, Column("id", Integer, primary_key=True, autoincrement=False), Column( "someenum", Enum( "one", "two", "three", native_enum=False, create_constraint=True, ), ), Column( "someotherenum", Enum( "one", "two", "three", native_enum=False, validate_strings=True, ), ), ) Table( "stdlib_enum_table", metadata, Column("id", Integer, primary_key=True), Column("someenum", Enum(cls.SomeEnum, create_constraint=True)), ) Table( "stdlib_enum_table2", metadata, Column("id", Integer, primary_key=True), Column( "someotherenum", Enum( cls.SomeOtherEnum, values_callable=EnumTest.get_enum_string_values, create_constraint=True, ), ), ) def test_python_type(self): eq_(types.Enum(self.SomeEnum).python_type, self.SomeEnum) def test_pickle_types(self): global SomeEnum SomeEnum = self.SomeEnum for loads, dumps in picklers(): column_types = [ Column("Enu", Enum("x", "y", "z", name="somename")), Column("En2", Enum(self.SomeEnum)), ] for column_type in column_types: meta = MetaData() Table("foo", meta, column_type) loads(dumps(column_type)) loads(dumps(meta)) def test_validators_pep435(self): type_ = Enum(self.SomeEnum) validate_type = Enum(self.SomeEnum, validate_strings=True) bind_processor = type_.bind_processor(testing.db.dialect) bind_processor_validates = validate_type.bind_processor( testing.db.dialect ) eq_(bind_processor("one"), "one") eq_(bind_processor(self.one), "one") eq_(bind_processor("foo"), "foo") assert_raises_message( LookupError, "'5' is not among the defined enum values. Enum name: someenum. " "Possible values: one, two, three, ..., BMember", bind_processor, 5, ) assert_raises_message( LookupError, "'foo' is not among the defined enum values. Enum name: someenum. " "Possible values: one, two, three, ..., BMember", bind_processor_validates, "foo", ) result_processor = type_.result_processor(testing.db.dialect, None) eq_(result_processor("one"), self.one) assert_raises_message( LookupError, "'foo' is not among the defined enum values. Enum name: someenum. " "Possible values: one, two, three, ..., BMember", result_processor, "foo", ) literal_processor = type_.literal_processor(testing.db.dialect) validate_literal_processor = validate_type.literal_processor( testing.db.dialect ) eq_(literal_processor("one"), "'one'") eq_(literal_processor("foo"), "'foo'") assert_raises_message( LookupError, "'5' is not among the defined enum values. Enum name: someenum. " "Possible values: one, two, three, ..., BMember", literal_processor, 5, ) assert_raises_message( LookupError, "'foo' is not among the defined enum values. Enum name: someenum. " "Possible values: one, two, three, ..., BMember", validate_literal_processor, "foo", ) def test_validators_plain(self): type_ = Enum("one", "two") validate_type = Enum("one", "two", validate_strings=True) bind_processor = type_.bind_processor(testing.db.dialect) bind_processor_validates = validate_type.bind_processor( testing.db.dialect ) eq_(bind_processor("one"), "one") eq_(bind_processor("foo"), "foo") assert_raises_message( LookupError, "'5' is not among the defined enum values. Enum name: None. " "Possible values: one, two", bind_processor, 5, ) assert_raises_message( LookupError, "'foo' is not among the defined enum values. Enum name: None. " "Possible values: one, two", bind_processor_validates, "foo", ) result_processor = type_.result_processor(testing.db.dialect, None) eq_(result_processor("one"), "one") assert_raises_message( LookupError, "'foo' is not among the defined enum values. Enum name: None. " "Possible values: one, two", result_processor, "foo", ) literal_processor = type_.literal_processor(testing.db.dialect) validate_literal_processor = validate_type.literal_processor( testing.db.dialect ) eq_(literal_processor("one"), "'one'") eq_(literal_processor("foo"), "'foo'") assert_raises_message( LookupError, "'5' is not among the defined enum values. Enum name: None. " "Possible values: one, two", literal_processor, 5, ) assert_raises_message( LookupError, "'foo' is not among the defined enum values. Enum name: None. " "Possible values: one, two", validate_literal_processor, "foo", ) def test_enum_raise_lookup_ellipses(self): type_ = Enum("one", "twothreefourfivesix", "seven", "eight") bind_processor = type_.bind_processor(testing.db.dialect) eq_(bind_processor("one"), "one") assert_raises_message( LookupError, "'5' is not among the defined enum values. Enum name: None. " "Possible values: one, twothreefou.., seven, eight", bind_processor, 5, ) def test_enum_raise_lookup_none(self): type_ = Enum() bind_processor = type_.bind_processor(testing.db.dialect) assert_raises_message( LookupError, "'5' is not among the defined enum values. Enum name: None. " "Possible values: None", bind_processor, 5, ) def test_validators_not_in_like_roundtrip(self, connection): enum_table = self.tables["non_native_enum_table"] connection.execute( enum_table.insert(), [ {"id": 1, "someenum": "two"}, {"id": 2, "someenum": "two"}, {"id": 3, "someenum": "one"}, ], ) eq_( connection.execute( enum_table.select() .where(enum_table.c.someenum.like("%wo%")) .order_by(enum_table.c.id) ).fetchall(), [(1, "two", None), (2, "two", None)], ) def test_validators_not_in_concatenate_roundtrip(self, connection): enum_table = self.tables["non_native_enum_table"] connection.execute( enum_table.insert(), [ {"id": 1, "someenum": "two"}, {"id": 2, "someenum": "two"}, {"id": 3, "someenum": "one"}, ], ) eq_( connection.execute( select("foo" + enum_table.c.someenum).order_by(enum_table.c.id) ).fetchall(), [("footwo",), ("footwo",), ("fooone",)], ) def test_round_trip(self, connection): enum_table = self.tables["enum_table"] connection.execute( enum_table.insert(), [ {"id": 1, "someenum": "two"}, {"id": 2, "someenum": "two"}, {"id": 3, "someenum": "one"}, ], ) eq_( connection.execute( enum_table.select().order_by(enum_table.c.id) ).fetchall(), [(1, "two"), (2, "two"), (3, "one")], ) def test_null_round_trip(self, connection): enum_table = self.tables.enum_table non_native_enum_table = self.tables.non_native_enum_table connection.execute(enum_table.insert(), {"id": 1, "someenum": None}) eq_(connection.scalar(select(enum_table.c.someenum)), None) connection.execute( non_native_enum_table.insert(), {"id": 1, "someenum": None} ) eq_(connection.scalar(select(non_native_enum_table.c.someenum)), None) @testing.requires.enforces_check_constraints def test_check_constraint(self, connection): assert_raises( ( exc.IntegrityError, exc.ProgrammingError, exc.OperationalError, # PyMySQL raising InternalError until # https://github.com/PyMySQL/PyMySQL/issues/607 is resolved exc.InternalError, ), connection.exec_driver_sql, "insert into non_native_enum_table " "(id, someenum) values(1, 'four')", ) @testing.requires.enforces_check_constraints @testing.provide_metadata def test_variant_we_are_default(self): # test that the "variant" does not create a constraint t = Table( "my_table", self.metadata, Column( "data", Enum( "one", "two", "three", native_enum=False, name="e1", create_constraint=True, ).with_variant( Enum( "four", "five", "six", native_enum=False, name="e2", create_constraint=True, ), "some_other_db", ), ), mysql_engine="InnoDB", ) eq_( len([c for c in t.constraints if isinstance(c, CheckConstraint)]), 2, ) with testing.db.connect() as conn: self.metadata.create_all(conn) assert_raises( (exc.DBAPIError,), conn.exec_driver_sql, "insert into my_table " "(data) values('four')", ) conn.exec_driver_sql("insert into my_table (data) values ('two')") @testing.requires.enforces_check_constraints @testing.provide_metadata def test_variant_we_are_not_default(self): # test that the "variant" does not create a constraint t = Table( "my_table", self.metadata, Column( "data", Enum( "one", "two", "three", native_enum=False, name="e1", create_constraint=True, ).with_variant( Enum( "four", "five", "six", native_enum=False, name="e2", create_constraint=True, ), testing.db.dialect.name, ), ), ) # ensure Variant isn't exploding the constraints eq_( len([c for c in t.constraints if isinstance(c, CheckConstraint)]), 2, ) with testing.db.connect() as conn: self.metadata.create_all(conn) assert_raises( (exc.DBAPIError,), conn.exec_driver_sql, "insert into my_table " "(data) values('two')", ) conn.exec_driver_sql("insert into my_table (data) values ('four')") def test_skip_check_constraint(self): with testing.db.connect() as conn: conn.exec_driver_sql( "insert into non_native_enum_table " "(id, someotherenum) values(1, 'four')" ) eq_( conn.exec_driver_sql( "select someotherenum from non_native_enum_table" ).scalar(), "four", ) assert_raises_message( LookupError, "'four' is not among the defined enum values. " "Enum name: None. Possible values: one, two, three", conn.scalar, select(self.tables.non_native_enum_table.c.someotherenum), ) def test_non_native_round_trip(self, connection): non_native_enum_table = self.tables["non_native_enum_table"] connection.execute( non_native_enum_table.insert(), [ {"id": 1, "someenum": "two"}, {"id": 2, "someenum": "two"}, {"id": 3, "someenum": "one"}, ], ) eq_( connection.execute( select( non_native_enum_table.c.id, non_native_enum_table.c.someenum, ).order_by(non_native_enum_table.c.id) ).fetchall(), [(1, "two"), (2, "two"), (3, "one")], ) def test_pep435_default_sort_key(self): one, two, a_member, b_member = ( self.one, self.two, self.a_member, self.b_member, ) typ = Enum(self.SomeEnum) is_(typ.sort_key_function.__func__, typ._db_value_for_elem.__func__) eq_( sorted([two, one, a_member, b_member], key=typ.sort_key_function), [a_member, b_member, one, two], ) def test_pep435_custom_sort_key(self): one, two, a_member, b_member = ( self.one, self.two, self.a_member, self.b_member, ) def sort_enum_key_value(value): return str(value.value) typ = Enum(self.SomeEnum, sort_key_function=sort_enum_key_value) is_(typ.sort_key_function, sort_enum_key_value) eq_( sorted([two, one, a_member, b_member], key=typ.sort_key_function), [one, two, a_member, b_member], ) def test_pep435_no_sort_key(self): typ = Enum(self.SomeEnum, sort_key_function=None) is_(typ.sort_key_function, None) def test_pep435_enum_round_trip(self, connection): stdlib_enum_table = self.tables["stdlib_enum_table"] connection.execute( stdlib_enum_table.insert(), [ {"id": 1, "someenum": self.SomeEnum.two}, {"id": 2, "someenum": self.SomeEnum.two}, {"id": 3, "someenum": self.SomeEnum.one}, {"id": 4, "someenum": self.SomeEnum.three}, {"id": 5, "someenum": self.SomeEnum.four}, {"id": 6, "someenum": "three"}, {"id": 7, "someenum": "four"}, ], ) eq_( connection.execute( stdlib_enum_table.select().order_by(stdlib_enum_table.c.id) ).fetchall(), [ (1, self.SomeEnum.two), (2, self.SomeEnum.two), (3, self.SomeEnum.one), (4, self.SomeEnum.three), (5, self.SomeEnum.three), (6, self.SomeEnum.three), (7, self.SomeEnum.three), ], ) def test_pep435_enum_values_callable_round_trip(self, connection): stdlib_enum_table_custom_values = self.tables["stdlib_enum_table2"] connection.execute( stdlib_enum_table_custom_values.insert(), [ {"id": 1, "someotherenum": self.SomeOtherEnum.AMember}, {"id": 2, "someotherenum": self.SomeOtherEnum.BMember}, {"id": 3, "someotherenum": self.SomeOtherEnum.AMember}, ], ) eq_( connection.execute( stdlib_enum_table_custom_values.select().order_by( stdlib_enum_table_custom_values.c.id ) ).fetchall(), [ (1, self.SomeOtherEnum.AMember), (2, self.SomeOtherEnum.BMember), (3, self.SomeOtherEnum.AMember), ], ) def test_pep435_enum_expanding_in(self, connection): stdlib_enum_table_custom_values = self.tables["stdlib_enum_table2"] connection.execute( stdlib_enum_table_custom_values.insert(), [ {"id": 1, "someotherenum": self.SomeOtherEnum.one}, {"id": 2, "someotherenum": self.SomeOtherEnum.two}, {"id": 3, "someotherenum": self.SomeOtherEnum.three}, ], ) stmt = ( stdlib_enum_table_custom_values.select() .where( stdlib_enum_table_custom_values.c.someotherenum.in_( bindparam("member", expanding=True) ) ) .order_by(stdlib_enum_table_custom_values.c.id) ) eq_( connection.execute( stmt, {"member": [self.SomeOtherEnum.one, self.SomeOtherEnum.three]}, ).fetchall(), [(1, self.SomeOtherEnum.one), (3, self.SomeOtherEnum.three)], ) def test_adapt(self): from sqlalchemy.dialects.postgresql import ENUM e1 = Enum("one", "two", "three", native_enum=False) false_adapt = e1.adapt(ENUM) eq_(false_adapt.native_enum, False) assert not isinstance(false_adapt, ENUM) e1 = Enum("one", "two", "three", native_enum=True) true_adapt = e1.adapt(ENUM) eq_(true_adapt.native_enum, True) assert isinstance(true_adapt, ENUM) e1 = Enum( "one", "two", "three", name="foo", schema="bar", metadata=MetaData(), ) eq_(e1.adapt(ENUM).name, "foo") eq_(e1.adapt(ENUM).schema, "bar") is_(e1.adapt(ENUM).metadata, e1.metadata) eq_(e1.adapt(Enum).name, "foo") eq_(e1.adapt(Enum).schema, "bar") is_(e1.adapt(Enum).metadata, e1.metadata) e1 = Enum(self.SomeEnum) eq_(e1.adapt(ENUM).name, "someenum") eq_( e1.adapt(ENUM).enums, ["one", "two", "three", "four", "AMember", "BMember"], ) e1_vc = Enum( self.SomeOtherEnum, values_callable=EnumTest.get_enum_string_values ) eq_(e1_vc.adapt(ENUM).name, "someotherenum") eq_(e1_vc.adapt(ENUM).enums, ["1", "2", "3", "a", "b"]) def test_adapt_length(self): from sqlalchemy.dialects.postgresql import ENUM e1 = Enum("one", "two", "three", length=50, native_enum=False) eq_(e1.adapt(ENUM).length, 50) eq_(e1.adapt(Enum).length, 50) e1 = Enum("one", "two", "three") eq_(e1.length, 5) eq_(e1.adapt(ENUM).length, 5) eq_(e1.adapt(Enum).length, 5) @testing.provide_metadata def test_create_metadata_bound_no_crash(self): m1 = self.metadata Enum("a", "b", "c", metadata=m1, name="ncenum") m1.create_all(testing.db) def test_non_native_constraint_custom_type(self): class Foob(object): def __init__(self, name): self.name = name class MyEnum(TypeDecorator): def __init__(self, values): self.impl = Enum( *[v.name for v in values], name="myenum", native_enum=False, create_constraint=True ) # future method def process_literal_param(self, value, dialect): return value.name def process_bind_param(self, value, dialect): return value.name m = MetaData() t1 = Table("t", m, Column("x", MyEnum([Foob("a"), Foob("b")]))) const = [c for c in t1.constraints if isinstance(c, CheckConstraint)][ 0 ] self.assert_compile( AddConstraint(const), "ALTER TABLE t ADD CONSTRAINT myenum CHECK (x IN ('a', 'b'))", dialect="default", ) def test_lookup_failure(self, connection): assert_raises( exc.StatementError, connection.execute, self.tables["non_native_enum_table"].insert(), {"id": 4, "someotherenum": "four"}, ) def test_mock_engine_no_prob(self): """ensure no 'checkfirst' queries are run when enums are created with checkfirst=False""" e = engines.mock_engine() t = Table( "t1", MetaData(), Column("x", Enum("x", "y", name="pge", create_constraint=True)), ) t.create(e, checkfirst=False) # basically looking for the start of # the constraint, or the ENUM def itself, # depending on backend. assert "('x'," in e.print_sql() @testing.uses_deprecated(".*convert_unicode") def test_repr(self): e = Enum( "x", "y", name="somename", convert_unicode=True, quote=True, inherit_schema=True, native_enum=False, ) eq_( repr(e), "Enum('x', 'y', name='somename', " "inherit_schema=True, native_enum=False)", ) def test_length_native(self): e = Enum("x", "y", "long", length=42) eq_(e.length, len("long")) # no error is raised e = Enum("x", "y", "long", length=1) eq_(e.length, len("long")) def test_length_raises(self): assert_raises_message( ValueError, "When provided, length must be larger or equal.*", Enum, "x", "y", "long", native_enum=False, length=1, ) def test_no_length_non_native(self): e = Enum("x", "y", "long", native_enum=False) eq_(e.length, len("long")) def test_length_non_native(self): e = Enum("x", "y", "long", native_enum=False, length=42) eq_(e.length, 42) binary_table = MyPickleType = metadata = None class BinaryTest(fixtures.TestBase, AssertsExecutionResults): __backend__ = True @classmethod def setup_class(cls): global binary_table, MyPickleType, metadata class MyPickleType(types.TypeDecorator): impl = PickleType def process_bind_param(self, value, dialect): if value: value.stuff = "this is modified stuff" return value def process_result_value(self, value, dialect): if value: value.stuff = "this is the right stuff" return value metadata = MetaData(testing.db) binary_table = Table( "binary_table", metadata, Column( "primary_id", Integer, primary_key=True, test_needs_autoincrement=True, ), Column("data", LargeBinary), Column("data_slice", LargeBinary(100)), Column("misc", String(30)), Column("pickled", PickleType), Column("mypickle", MyPickleType), ) metadata.create_all() @engines.close_first def teardown(self): with testing.db.connect() as conn: conn.execute(binary_table.delete()) @classmethod def teardown_class(cls): metadata.drop_all() @testing.requires.non_broken_binary def test_round_trip(self, connection): testobj1 = pickleable.Foo("im foo 1") testobj2 = pickleable.Foo("im foo 2") testobj3 = pickleable.Foo("im foo 3") stream1 = self.load_stream("binary_data_one.dat") stream2 = self.load_stream("binary_data_two.dat") connection.execute( binary_table.insert(), primary_id=1, misc="binary_data_one.dat", data=stream1, data_slice=stream1[0:100], pickled=testobj1, mypickle=testobj3, ) connection.execute( binary_table.insert(), primary_id=2, misc="binary_data_two.dat", data=stream2, data_slice=stream2[0:99], pickled=testobj2, ) connection.execute( binary_table.insert(), primary_id=3, misc="binary_data_two.dat", data=None, data_slice=stream2[0:99], pickled=None, ) for stmt in ( binary_table.select(order_by=binary_table.c.primary_id), text( "select * from binary_table order by binary_table.primary_id", ).columns( **{ "pickled": PickleType, "mypickle": MyPickleType, "data": LargeBinary, "data_slice": LargeBinary, } ), ): result = connection.execute(stmt).fetchall() eq_(stream1, result[0]._mapping["data"]) eq_(stream1[0:100], result[0]._mapping["data_slice"]) eq_(stream2, result[1]._mapping["data"]) eq_(testobj1, result[0]._mapping["pickled"]) eq_(testobj2, result[1]._mapping["pickled"]) eq_(testobj3.moredata, result[0]._mapping["mypickle"].moredata) eq_( result[0]._mapping["mypickle"].stuff, "this is the right stuff" ) @testing.requires.binary_comparisons def test_comparison(self, connection): """test that type coercion occurs on comparison for binary""" expr = binary_table.c.data == "foo" assert isinstance(expr.right.type, LargeBinary) data = os.urandom(32) connection.execute(binary_table.insert(), data=data) eq_( connection.scalar( select(func.count("*")) .select_from(binary_table) .where(binary_table.c.data == data) ), 1, ) @testing.requires.binary_literals def test_literal_roundtrip(self, connection): compiled = select(cast(literal(util.b("foo")), LargeBinary)).compile( dialect=testing.db.dialect, compile_kwargs={"literal_binds": True} ) result = connection.execute(compiled) eq_(result.scalar(), util.b("foo")) def test_bind_processor_no_dbapi(self): b = LargeBinary() eq_(b.bind_processor(default.DefaultDialect()), None) def load_stream(self, name): f = os.path.join(os.path.dirname(__file__), "..", name) with open(f, mode="rb") as o: return o.read() class JSONTest(fixtures.TestBase): def setup(self): metadata = MetaData() self.test_table = Table( "test_table", metadata, Column("id", Integer, primary_key=True), Column("test_column", JSON), ) self.jsoncol = self.test_table.c.test_column self.dialect = default.DefaultDialect() self.dialect._json_serializer = None self.dialect._json_deserializer = None def test_bind_serialize_default(self): proc = self.test_table.c.test_column.type._cached_bind_processor( self.dialect ) eq_( proc({"A": [1, 2, 3, True, False]}), '{"A": [1, 2, 3, true, false]}', ) def test_bind_serialize_None(self): proc = self.test_table.c.test_column.type._cached_bind_processor( self.dialect ) eq_(proc(None), "null") def test_bind_serialize_none_as_null(self): proc = JSON(none_as_null=True)._cached_bind_processor(self.dialect) eq_(proc(None), None) eq_(proc(null()), None) def test_bind_serialize_null(self): proc = self.test_table.c.test_column.type._cached_bind_processor( self.dialect ) eq_(proc(null()), None) def test_result_deserialize_default(self): proc = self.test_table.c.test_column.type._cached_result_processor( self.dialect, None ) eq_( proc('{"A": [1, 2, 3, true, false]}'), {"A": [1, 2, 3, True, False]}, ) def test_result_deserialize_null(self): proc = self.test_table.c.test_column.type._cached_result_processor( self.dialect, None ) eq_(proc("null"), None) def test_result_deserialize_None(self): proc = self.test_table.c.test_column.type._cached_result_processor( self.dialect, None ) eq_(proc(None), None) def _dialect_index_fixture(self, int_processor, str_processor): class MyInt(Integer): def bind_processor(self, dialect): return lambda value: value + 10 def literal_processor(self, diaect): return lambda value: str(value + 15) class MyString(String): def bind_processor(self, dialect): return lambda value: value + "10" def literal_processor(self, diaect): return lambda value: value + "15" class MyDialect(default.DefaultDialect): colspecs = {} if int_processor: colspecs[Integer] = MyInt if str_processor: colspecs[String] = MyString return MyDialect() def test_index_bind_proc_int(self): expr = self.test_table.c.test_column[5] int_dialect = self._dialect_index_fixture(True, True) non_int_dialect = self._dialect_index_fixture(False, True) bindproc = expr.right.type._cached_bind_processor(int_dialect) eq_(bindproc(expr.right.value), 15) bindproc = expr.right.type._cached_bind_processor(non_int_dialect) eq_(bindproc(expr.right.value), 5) def test_index_literal_proc_int(self): expr = self.test_table.c.test_column[5] int_dialect = self._dialect_index_fixture(True, True) non_int_dialect = self._dialect_index_fixture(False, True) bindproc = expr.right.type._cached_literal_processor(int_dialect) eq_(bindproc(expr.right.value), "20") bindproc = expr.right.type._cached_literal_processor(non_int_dialect) eq_(bindproc(expr.right.value), "5") def test_index_bind_proc_str(self): expr = self.test_table.c.test_column["five"] str_dialect = self._dialect_index_fixture(True, True) non_str_dialect = self._dialect_index_fixture(False, False) bindproc = expr.right.type._cached_bind_processor(str_dialect) eq_(bindproc(expr.right.value), "five10") bindproc = expr.right.type._cached_bind_processor(non_str_dialect) eq_(bindproc(expr.right.value), "five") def test_index_literal_proc_str(self): expr = self.test_table.c.test_column["five"] str_dialect = self._dialect_index_fixture(True, True) non_str_dialect = self._dialect_index_fixture(False, False) bindproc = expr.right.type._cached_literal_processor(str_dialect) eq_(bindproc(expr.right.value), "five15") bindproc = expr.right.type._cached_literal_processor(non_str_dialect) eq_(bindproc(expr.right.value), "'five'") class ArrayTest(fixtures.TestBase): def _myarray_fixture(self): class MyArray(ARRAY): pass return MyArray def test_array_index_map_dimensions(self): col = column("x", ARRAY(Integer, dimensions=3)) is_(col[5].type._type_affinity, ARRAY) eq_(col[5].type.dimensions, 2) is_(col[5][6].type._type_affinity, ARRAY) eq_(col[5][6].type.dimensions, 1) is_(col[5][6][7].type._type_affinity, Integer) def test_array_getitem_single_type(self): m = MetaData() arrtable = Table( "arrtable", m, Column("intarr", ARRAY(Integer)), Column("strarr", ARRAY(String)), ) is_(arrtable.c.intarr[1].type._type_affinity, Integer) is_(arrtable.c.strarr[1].type._type_affinity, String) def test_array_getitem_slice_type(self): m = MetaData() arrtable = Table( "arrtable", m, Column("intarr", ARRAY(Integer)), Column("strarr", ARRAY(String)), ) is_(arrtable.c.intarr[1:3].type._type_affinity, ARRAY) is_(arrtable.c.strarr[1:3].type._type_affinity, ARRAY) def test_array_getitem_slice_type_dialect_level(self): MyArray = self._myarray_fixture() m = MetaData() arrtable = Table( "arrtable", m, Column("intarr", MyArray(Integer)), Column("strarr", MyArray(String)), ) is_(arrtable.c.intarr[1:3].type._type_affinity, ARRAY) is_(arrtable.c.strarr[1:3].type._type_affinity, ARRAY) # but the slice returns the actual type assert isinstance(arrtable.c.intarr[1:3].type, MyArray) assert isinstance(arrtable.c.strarr[1:3].type, MyArray) test_table = meta = MyCustomType = MyTypeDec = None class ExpressionTest( fixtures.TestBase, AssertsExecutionResults, AssertsCompiledSQL ): __dialect__ = "default" @classmethod def setup_class(cls): global test_table, meta, MyCustomType, MyTypeDec class MyCustomType(types.UserDefinedType): def get_col_spec(self): return "INT" def bind_processor(self, dialect): def process(value): return value * 10 return process def result_processor(self, dialect, coltype): def process(value): return value / 10 return process class MyOldCustomType(MyCustomType): def adapt_operator(self, op): return { operators.add: operators.sub, operators.sub: operators.add, }.get(op, op) class MyTypeDec(types.TypeDecorator): impl = String def process_bind_param(self, value, dialect): return "BIND_IN" + str(value) def process_result_value(self, value, dialect): return value + "BIND_OUT" meta = MetaData(testing.db) test_table = Table( "test", meta, Column("id", Integer, primary_key=True), Column("data", String(30)), Column("atimestamp", Date), Column("avalue", MyCustomType), Column("bvalue", MyTypeDec(50)), ) meta.create_all() with testing.db.connect() as conn: conn.execute( test_table.insert(), { "id": 1, "data": "somedata", "atimestamp": datetime.date(2007, 10, 15), "avalue": 25, "bvalue": "foo", }, ) @classmethod def teardown_class(cls): meta.drop_all() def test_control(self, connection): assert ( connection.exec_driver_sql("select avalue from test").scalar() == 250 ) eq_( connection.execute(test_table.select()).fetchall(), [ ( 1, "somedata", datetime.date(2007, 10, 15), 25, "BIND_INfooBIND_OUT", ) ], ) def test_bind_adapt(self, connection): # test an untyped bind gets the left side's type expr = test_table.c.atimestamp == bindparam("thedate") eq_(expr.right.type._type_affinity, Date) eq_( connection.execute( select( test_table.c.id, test_table.c.data, test_table.c.atimestamp, ).where(expr), {"thedate": datetime.date(2007, 10, 15)}, ).fetchall(), [(1, "somedata", datetime.date(2007, 10, 15))], ) expr = test_table.c.avalue == bindparam("somevalue") eq_(expr.right.type._type_affinity, MyCustomType) eq_( connection.execute( test_table.select().where(expr), {"somevalue": 25} ).fetchall(), [ ( 1, "somedata", datetime.date(2007, 10, 15), 25, "BIND_INfooBIND_OUT", ) ], ) expr = test_table.c.bvalue == bindparam("somevalue") eq_(expr.right.type._type_affinity, String) eq_( connection.execute( test_table.select().where(expr), {"somevalue": "foo"} ).fetchall(), [ ( 1, "somedata", datetime.date(2007, 10, 15), 25, "BIND_INfooBIND_OUT", ) ], ) def test_grouped_bind_adapt(self): expr = test_table.c.atimestamp == elements.Grouping( bindparam("thedate") ) eq_(expr.right.type._type_affinity, Date) eq_(expr.right.element.type._type_affinity, Date) expr = test_table.c.atimestamp == elements.Grouping( elements.Grouping(bindparam("thedate")) ) eq_(expr.right.type._type_affinity, Date) eq_(expr.right.element.type._type_affinity, Date) eq_(expr.right.element.element.type._type_affinity, Date) def test_bind_adapt_update(self): bp = bindparam("somevalue") stmt = test_table.update().values(avalue=bp) compiled = stmt.compile() eq_(bp.type._type_affinity, types.NullType) eq_(compiled.binds["somevalue"].type._type_affinity, MyCustomType) def test_bind_adapt_insert(self): bp = bindparam("somevalue") stmt = test_table.insert().values(avalue=bp) compiled = stmt.compile() eq_(bp.type._type_affinity, types.NullType) eq_(compiled.binds["somevalue"].type._type_affinity, MyCustomType) def test_bind_adapt_expression(self): bp = bindparam("somevalue") stmt = test_table.c.avalue == bp eq_(bp.type._type_affinity, types.NullType) eq_(stmt.right.type._type_affinity, MyCustomType) def test_literal_adapt(self): # literals get typed based on the types dictionary, unless # compatible with the left side type expr = column("foo", String) == 5 eq_(expr.right.type._type_affinity, Integer) expr = column("foo", String) == "asdf" eq_(expr.right.type._type_affinity, String) expr = column("foo", CHAR) == 5 eq_(expr.right.type._type_affinity, Integer) expr = column("foo", CHAR) == "asdf" eq_(expr.right.type.__class__, CHAR) @testing.combinations( (5, Integer), (2.65, Float), (True, Boolean), (decimal.Decimal("2.65"), Numeric), (datetime.date(2015, 7, 20), Date), (datetime.time(10, 15, 20), Time), (datetime.datetime(2015, 7, 20, 10, 15, 20), DateTime), (datetime.timedelta(seconds=5), Interval), (None, types.NullType), ) def test_actual_literal_adapters(self, data, expected): is_(literal(data).type.__class__, expected) def test_typedec_operator_adapt(self, connection): expr = test_table.c.bvalue + "hi" assert expr.type.__class__ is MyTypeDec assert expr.right.type.__class__ is MyTypeDec eq_( connection.execute(select(expr.label("foo"))).scalar(), "BIND_INfooBIND_INhiBIND_OUT", ) def test_typedec_is_adapt(self): class CoerceNothing(TypeDecorator): coerce_to_is_types = () impl = Integer class CoerceBool(TypeDecorator): coerce_to_is_types = (bool,) impl = Boolean class CoerceNone(TypeDecorator): coerce_to_is_types = (type(None),) impl = Integer c1 = column("x", CoerceNothing()) c2 = column("x", CoerceBool()) c3 = column("x", CoerceNone()) self.assert_compile( and_(c1 == None, c2 == None, c3 == None), # noqa "x = :x_1 AND x = :x_2 AND x IS NULL", ) self.assert_compile( and_(c1 == True, c2 == True, c3 == True), # noqa "x = :x_1 AND x = true AND x = :x_2", dialect=default.DefaultDialect(supports_native_boolean=True), ) self.assert_compile( and_(c1 == 3, c2 == 3, c3 == 3), "x = :x_1 AND x = :x_2 AND x = :x_3", dialect=default.DefaultDialect(supports_native_boolean=True), ) self.assert_compile( and_(c1.is_(True), c2.is_(True), c3.is_(True)), "x IS :x_1 AND x IS true AND x IS :x_2", dialect=default.DefaultDialect(supports_native_boolean=True), ) def test_typedec_righthand_coercion(self, connection): class MyTypeDec(types.TypeDecorator): impl = String def process_bind_param(self, value, dialect): return "BIND_IN" + str(value) def process_result_value(self, value, dialect): return value + "BIND_OUT" tab = table("test", column("bvalue", MyTypeDec)) expr = tab.c.bvalue + 6 self.assert_compile( expr, "test.bvalue || :bvalue_1", use_default_dialect=True ) is_(expr.right.type.__class__, MyTypeDec) is_(expr.type.__class__, MyTypeDec) eq_( connection.execute(select(expr.label("foo"))).scalar(), "BIND_INfooBIND_IN6BIND_OUT", ) def test_variant_righthand_coercion_honors_wrapped(self): my_json_normal = JSON() my_json_variant = JSON().with_variant(String(), "sqlite") tab = table( "test", column("avalue", my_json_normal), column("bvalue", my_json_variant), ) expr = tab.c.avalue["foo"] == "bar" is_(expr.right.type._type_affinity, String) is_not(expr.right.type, my_json_normal) expr = tab.c.bvalue["foo"] == "bar" is_(expr.right.type._type_affinity, String) is_not(expr.right.type, my_json_variant) def test_variant_righthand_coercion_returns_self(self): my_datetime_normal = DateTime() my_datetime_variant = DateTime().with_variant( dialects.sqlite.DATETIME(truncate_microseconds=False), "sqlite" ) tab = table( "test", column("avalue", my_datetime_normal), column("bvalue", my_datetime_variant), ) expr = tab.c.avalue == datetime.datetime(2015, 10, 14, 15, 17, 18) is_(expr.right.type._type_affinity, DateTime) is_(expr.right.type, my_datetime_normal) expr = tab.c.bvalue == datetime.datetime(2015, 10, 14, 15, 17, 18) is_(expr.right.type, my_datetime_variant) def test_bind_typing(self): from sqlalchemy.sql import column class MyFoobarType(types.UserDefinedType): pass class Foo(object): pass # unknown type + integer, right hand bind # coerces to given type expr = column("foo", MyFoobarType) + 5 assert expr.right.type._type_affinity is MyFoobarType # untyped bind - it gets assigned MyFoobarType bp = bindparam("foo") expr = column("foo", MyFoobarType) + bp assert bp.type._type_affinity is types.NullType # noqa assert expr.right.type._type_affinity is MyFoobarType expr = column("foo", MyFoobarType) + bindparam("foo", type_=Integer) assert expr.right.type._type_affinity is types.Integer # unknown type + unknown, right hand bind # coerces to the left expr = column("foo", MyFoobarType) + Foo() assert expr.right.type._type_affinity is MyFoobarType # including for non-commutative ops expr = column("foo", MyFoobarType) - Foo() assert expr.right.type._type_affinity is MyFoobarType expr = column("foo", MyFoobarType) - datetime.date(2010, 8, 25) assert expr.right.type._type_affinity is MyFoobarType def test_date_coercion(self): expr = column("bar", types.NULLTYPE) - column("foo", types.TIMESTAMP) eq_(expr.type._type_affinity, types.NullType) expr = func.sysdate() - column("foo", types.TIMESTAMP) eq_(expr.type._type_affinity, types.Interval) expr = func.current_date() - column("foo", types.TIMESTAMP) eq_(expr.type._type_affinity, types.Interval) def test_interval_coercion(self): expr = column("bar", types.Interval) + column("foo", types.Date) eq_(expr.type._type_affinity, types.DateTime) expr = column("bar", types.Interval) * column("foo", types.Numeric) eq_(expr.type._type_affinity, types.Interval) @testing.combinations( (operator.add,), (operator.mul,), (operator.truediv,), (operator.sub,), argnames="op", id_="n", ) @testing.combinations( (Numeric(10, 2),), (Integer(),), argnames="other", id_="r" ) def test_numerics_coercion(self, op, other): expr = op(column("bar", types.Numeric(10, 2)), column("foo", other)) assert isinstance(expr.type, types.Numeric) expr = op(column("foo", other), column("bar", types.Numeric(10, 2))) assert isinstance(expr.type, types.Numeric) def test_asdecimal_int_to_numeric(self): expr = column("a", Integer) * column("b", Numeric(asdecimal=False)) is_(expr.type.asdecimal, False) expr = column("a", Integer) * column("b", Numeric()) is_(expr.type.asdecimal, True) expr = column("a", Integer) * column("b", Float()) is_(expr.type.asdecimal, False) assert isinstance(expr.type, Float) def test_asdecimal_numeric_to_int(self): expr = column("a", Numeric(asdecimal=False)) * column("b", Integer) is_(expr.type.asdecimal, False) expr = column("a", Numeric()) * column("b", Integer) is_(expr.type.asdecimal, True) expr = column("a", Float()) * column("b", Integer) is_(expr.type.asdecimal, False) assert isinstance(expr.type, Float) def test_null_comparison(self): eq_( str(column("a", types.NullType()) + column("b", types.NullType())), "a + b", ) def test_expression_typing(self): expr = column("bar", Integer) - 3 eq_(expr.type._type_affinity, Integer) expr = bindparam("bar") + bindparam("foo") eq_(expr.type, types.NULLTYPE) def test_distinct(self, connection): s = select(distinct(test_table.c.avalue)) eq_(connection.execute(s).scalar(), 25) s = select(test_table.c.avalue.distinct()) eq_(connection.execute(s).scalar(), 25) assert distinct(test_table.c.data).type == test_table.c.data.type assert test_table.c.data.distinct().type == test_table.c.data.type def test_detect_coercion_of_builtins(self): @inspection._self_inspects class SomeSQLAThing(object): def __repr__(self): return "some_sqla_thing()" class SomeOtherThing(object): pass assert_raises_message( exc.ArgumentError, r"SQL expression element or literal value expected, got " r"some_sqla_thing.", lambda: column("a", String) == SomeSQLAThing(), ) is_(bindparam("x", SomeOtherThing()).type, types.NULLTYPE) def test_detect_coercion_not_fooled_by_mock(self): m1 = mock.Mock() is_(bindparam("x", m1).type, types.NULLTYPE) class CompileTest(fixtures.TestBase, AssertsCompiledSQL): __dialect__ = "default" @testing.requires.unbounded_varchar def test_string_plain(self): self.assert_compile(String(), "VARCHAR") def test_string_length(self): self.assert_compile(String(50), "VARCHAR(50)") def test_string_collation(self): self.assert_compile( String(50, collation="FOO"), 'VARCHAR(50) COLLATE "FOO"' ) def test_char_plain(self): self.assert_compile(CHAR(), "CHAR") def test_char_length(self): self.assert_compile(CHAR(50), "CHAR(50)") def test_char_collation(self): self.assert_compile( CHAR(50, collation="FOO"), 'CHAR(50) COLLATE "FOO"' ) def test_text_plain(self): self.assert_compile(Text(), "TEXT") def test_text_length(self): self.assert_compile(Text(50), "TEXT(50)") def test_text_collation(self): self.assert_compile(Text(collation="FOO"), 'TEXT COLLATE "FOO"') def test_default_compile_pg_inet(self): self.assert_compile( dialects.postgresql.INET(), "INET", allow_dialect_select=True ) def test_default_compile_pg_float(self): self.assert_compile( dialects.postgresql.FLOAT(), "FLOAT", allow_dialect_select=True ) def test_default_compile_mysql_integer(self): self.assert_compile( dialects.mysql.INTEGER(display_width=5), "INTEGER", allow_dialect_select=True, ) self.assert_compile( dialects.mysql.INTEGER(display_width=5), "INTEGER(5)", dialect="mysql", ) def test_numeric_plain(self): self.assert_compile(types.NUMERIC(), "NUMERIC") def test_numeric_precision(self): self.assert_compile(types.NUMERIC(2), "NUMERIC(2)") def test_numeric_scale(self): self.assert_compile(types.NUMERIC(2, 4), "NUMERIC(2, 4)") def test_decimal_plain(self): self.assert_compile(types.DECIMAL(), "DECIMAL") def test_decimal_precision(self): self.assert_compile(types.DECIMAL(2), "DECIMAL(2)") def test_decimal_scale(self): self.assert_compile(types.DECIMAL(2, 4), "DECIMAL(2, 4)") def test_kwarg_legacy_typecompiler(self): from sqlalchemy.sql import compiler class SomeTypeCompiler(compiler.GenericTypeCompiler): # transparently decorated w/ kw decorator def visit_VARCHAR(self, type_): return "MYVARCHAR" # not affected def visit_INTEGER(self, type_, **kw): return "MYINTEGER %s" % kw["type_expression"].name dialect = default.DefaultDialect() dialect.type_compiler = SomeTypeCompiler(dialect) self.assert_compile( ddl.CreateColumn(Column("bar", VARCHAR(50))), "bar MYVARCHAR", dialect=dialect, ) self.assert_compile( ddl.CreateColumn(Column("bar", INTEGER)), "bar MYINTEGER bar", dialect=dialect, ) class TestKWArgPassThru(AssertsCompiledSQL, fixtures.TestBase): __backend__ = True def test_user_defined(self): """test that dialects pass the column through on DDL.""" class MyType(types.UserDefinedType): def get_col_spec(self, **kw): return "FOOB %s" % kw["type_expression"].name m = MetaData() t = Table("t", m, Column("bar", MyType, nullable=False)) self.assert_compile(ddl.CreateColumn(t.c.bar), "bar FOOB bar NOT NULL") class NumericRawSQLTest(fixtures.TestBase): """Test what DBAPIs and dialects return without any typing information supplied at the SQLA level. """ __backend__ = True def _fixture(self, metadata, type_, data): t = Table("t", metadata, Column("val", type_)) metadata.create_all() with testing.db.connect() as conn: conn.execute(t.insert(), val=data) @testing.fails_on("sqlite", "Doesn't provide Decimal results natively") @testing.provide_metadata def test_decimal_fp(self, connection): metadata = self.metadata self._fixture(metadata, Numeric(10, 5), decimal.Decimal("45.5")) val = connection.exec_driver_sql("select val from t").scalar() assert isinstance(val, decimal.Decimal) eq_(val, decimal.Decimal("45.5")) @testing.fails_on("sqlite", "Doesn't provide Decimal results natively") @testing.provide_metadata def test_decimal_int(self, connection): metadata = self.metadata self._fixture(metadata, Numeric(10, 5), decimal.Decimal("45")) val = connection.exec_driver_sql("select val from t").scalar() assert isinstance(val, decimal.Decimal) eq_(val, decimal.Decimal("45")) @testing.provide_metadata def test_ints(self, connection): metadata = self.metadata self._fixture(metadata, Integer, 45) val = connection.exec_driver_sql("select val from t").scalar() assert isinstance(val, util.int_types) eq_(val, 45) @testing.provide_metadata def test_float(self, connection): metadata = self.metadata self._fixture(metadata, Float, 46.583) val = connection.exec_driver_sql("select val from t").scalar() assert isinstance(val, float) # some DBAPIs have unusual float handling if testing.against("oracle+cx_oracle", "mysql+oursql", "firebird"): eq_(round_decimal(val, 3), 46.583) else: eq_(val, 46.583) interval_table = metadata = None class IntervalTest(fixtures.TestBase, AssertsExecutionResults): __backend__ = True @classmethod def setup_class(cls): global interval_table, metadata metadata = MetaData(testing.db) interval_table = Table( "intervaltable", metadata, Column( "id", Integer, primary_key=True, test_needs_autoincrement=True ), Column("native_interval", Interval()), Column( "native_interval_args", Interval(day_precision=3, second_precision=6), ), Column("non_native_interval", Interval(native=False)), ) metadata.create_all() @engines.close_first def teardown(self): with testing.db.connect() as conn: conn.execute(interval_table.delete()) @classmethod def teardown_class(cls): metadata.drop_all() def test_non_native_adapt(self): interval = Interval(native=False) adapted = interval.dialect_impl(testing.db.dialect) assert isinstance(adapted, Interval) assert adapted.native is False eq_(str(adapted), "DATETIME") def test_roundtrip(self): small_delta = datetime.timedelta(days=15, seconds=5874) delta = datetime.timedelta(14) with testing.db.begin() as conn: conn.execute( interval_table.insert(), native_interval=small_delta, native_interval_args=delta, non_native_interval=delta, ) row = conn.execute(interval_table.select()).first() eq_(row.native_interval, small_delta) eq_(row.native_interval_args, delta) eq_(row.non_native_interval, delta) def test_null(self): with testing.db.begin() as conn: conn.execute( interval_table.insert(), id=1, native_inverval=None, non_native_interval=None, ) row = conn.execute(interval_table.select()).first() eq_(row.native_interval, None) eq_(row.native_interval_args, None) eq_(row.non_native_interval, None) class IntegerTest(fixtures.TestBase): __backend__ = True def test_integer_literal_processor(self): typ = Integer() eq_(typ._cached_literal_processor(testing.db.dialect)(5), "5") assert_raises( ValueError, typ._cached_literal_processor(testing.db.dialect), "notanint", ) class BooleanTest( fixtures.TablesTest, AssertsExecutionResults, AssertsCompiledSQL ): """test edge cases for booleans. Note that the main boolean test suite is now in testing/suite/test_types.py the default value of create_constraint was changed to False in version 1.4 with #5367. """ __backend__ = True @classmethod def define_tables(cls, metadata): Table( "boolean_table", metadata, Column("id", Integer, primary_key=True, autoincrement=False), Column("value", Boolean(create_constraint=True)), Column("unconstrained_value", Boolean()), ) @testing.requires.enforces_check_constraints @testing.requires.non_native_boolean_unconstrained def test_constraint(self, connection): assert_raises( (exc.IntegrityError, exc.ProgrammingError, exc.OperationalError), connection.exec_driver_sql, "insert into boolean_table (id, value) values(1, 5)", ) @testing.skip_if(lambda: testing.db.dialect.supports_native_boolean) def test_unconstrained(self, connection): connection.exec_driver_sql( "insert into boolean_table (id, unconstrained_value)" "values (1, 5)" ) def test_non_native_constraint_custom_type(self): class Foob(object): def __init__(self, value): self.value = value class MyBool(TypeDecorator): impl = Boolean(create_constraint=True) # future method def process_literal_param(self, value, dialect): return value.value def process_bind_param(self, value, dialect): return value.value m = MetaData() t1 = Table("t", m, Column("x", MyBool())) const = [c for c in t1.constraints if isinstance(c, CheckConstraint)][ 0 ] self.assert_compile( AddConstraint(const), "ALTER TABLE t ADD CHECK (x IN (0, 1))", dialect="sqlite", ) @testing.skip_if(lambda: testing.db.dialect.supports_native_boolean) def test_nonnative_processor_coerces_to_onezero(self): boolean_table = self.tables.boolean_table with testing.db.connect() as conn: assert_raises_message( exc.StatementError, "Value 5 is not None, True, or False", conn.execute, boolean_table.insert(), {"id": 1, "unconstrained_value": 5}, ) @testing.requires.non_native_boolean_unconstrained def test_nonnative_processor_coerces_integer_to_boolean(self): boolean_table = self.tables.boolean_table with testing.db.connect() as conn: conn.exec_driver_sql( "insert into boolean_table (id, unconstrained_value) " "values (1, 5)" ) eq_( conn.exec_driver_sql( "select unconstrained_value from boolean_table" ).scalar(), 5, ) eq_( conn.scalar(select(boolean_table.c.unconstrained_value)), True, ) def test_bind_processor_coercion_native_true(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) is_(proc(True), True) def test_bind_processor_coercion_native_false(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) is_(proc(False), False) def test_bind_processor_coercion_native_none(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) is_(proc(None), None) def test_bind_processor_coercion_native_0(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) is_(proc(0), False) def test_bind_processor_coercion_native_1(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) is_(proc(1), True) def test_bind_processor_coercion_native_str(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) assert_raises_message( TypeError, "Not a boolean value: 'foo'", proc, "foo" ) def test_bind_processor_coercion_native_int_out_of_range(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=True) ) assert_raises_message( ValueError, "Value 15 is not None, True, or False", proc, 15 ) def test_bind_processor_coercion_nonnative_true(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) eq_(proc(True), 1) def test_bind_processor_coercion_nonnative_false(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) eq_(proc(False), 0) def test_bind_processor_coercion_nonnative_none(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) is_(proc(None), None) def test_bind_processor_coercion_nonnative_0(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) eq_(proc(0), 0) def test_bind_processor_coercion_nonnative_1(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) eq_(proc(1), 1) def test_bind_processor_coercion_nonnative_str(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) assert_raises_message( TypeError, "Not a boolean value: 'foo'", proc, "foo" ) def test_bind_processor_coercion_nonnative_int_out_of_range(self): proc = Boolean().bind_processor( mock.Mock(supports_native_boolean=False) ) assert_raises_message( ValueError, "Value 15 is not None, True, or False", proc, 15 ) def test_literal_processor_coercion_native_true(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=True) ) eq_(proc(True), "true") def test_literal_processor_coercion_native_false(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=True) ) eq_(proc(False), "false") def test_literal_processor_coercion_native_1(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=True) ) eq_(proc(1), "true") def test_literal_processor_coercion_native_0(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=True) ) eq_(proc(0), "false") def test_literal_processor_coercion_native_str(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=True) ) assert_raises_message( TypeError, "Not a boolean value: 'foo'", proc, "foo" ) def test_literal_processor_coercion_native_int_out_of_range(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=True) ) assert_raises_message( ValueError, "Value 15 is not None, True, or False", proc, 15 ) def test_literal_processor_coercion_nonnative_true(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=False) ) eq_(proc(True), "1") def test_literal_processor_coercion_nonnative_false(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=False) ) eq_(proc(False), "0") def test_literal_processor_coercion_nonnative_1(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=False) ) eq_(proc(1), "1") def test_literal_processor_coercion_nonnative_0(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=False) ) eq_(proc(0), "0") def test_literal_processor_coercion_nonnative_str(self): proc = Boolean().literal_processor( default.DefaultDialect(supports_native_boolean=False) ) assert_raises_message( TypeError, "Not a boolean value: 'foo'", proc, "foo" ) class PickleTest(fixtures.TestBase): def test_eq_comparison(self): p1 = PickleType() for obj in ( {"1": "2"}, pickleable.Bar(5, 6), pickleable.OldSchool(10, 11), ): assert p1.compare_values(p1.copy_value(obj), obj) assert_raises( NotImplementedError, p1.compare_values, pickleable.BrokenComparable("foo"), pickleable.BrokenComparable("foo"), ) def test_nonmutable_comparison(self): p1 = PickleType() for obj in ( {"1": "2"}, pickleable.Bar(5, 6), pickleable.OldSchool(10, 11), ): assert p1.compare_values(p1.copy_value(obj), obj) meta = None class CallableTest(fixtures.TestBase): @classmethod def setup_class(cls): global meta meta = MetaData(testing.db) @classmethod def teardown_class(cls): meta.drop_all() def test_callable_as_arg(self): ucode = util.partial(Unicode) thing_table = Table("thing", meta, Column("name", ucode(20))) assert isinstance(thing_table.c.name.type, Unicode) thing_table.create() def test_callable_as_kwarg(self): ucode = util.partial(Unicode) thang_table = Table( "thang", meta, Column("name", type_=ucode(20), primary_key=True) ) assert isinstance(thang_table.c.name.type, Unicode) thang_table.create() class LiteralTest(fixtures.TestBase): __backend__ = True @testing.combinations( ("datetime", datetime.datetime.now()), ("date", datetime.date.today()), ("time", datetime.time()), argnames="value", id_="ia", ) @testing.skip_if(testing.requires.datetime_literals) def test_render_datetime(self, value): lit = literal(value) assert_raises_message( NotImplementedError, "Don't know how to literal-quote value.*", lit.compile, dialect=testing.db.dialect, compile_kwargs={"literal_binds": True}, )

32.058283

79

0.569323

d4954cce3c233d04d31a4854308e7f241f8f39c6

5,993

py

Python

qa/rpc-tests/prioritise_transaction.py

realcaesar/skicoinBeta

a35cbfda4f70cfa41daa3e80fba95d737ef64449

[ "MIT" ]

null

qa/rpc-tests/prioritise_transaction.py

realcaesar/skicoinBeta

a35cbfda4f70cfa41daa3e80fba95d737ef64449

[ "MIT" ]

null

qa/rpc-tests/prioritise_transaction.py

realcaesar/skicoinBeta

a35cbfda4f70cfa41daa3e80fba95d737ef64449

[ "MIT" ]

null

#!/usr/bin/env python2 # Copyright (c) 2015 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. # # Test PrioritiseTransaction code # from test_framework.test_framework import SkicoinTestFramework from test_framework.util import * from test_framework.mininode import COIN, MAX_BLOCK_SIZE class PrioritiseTransactionTest(SkicoinTestFramework): def __init__(self): self.txouts = gen_return_txouts() def setup_chain(self): print("Initializing test directory "+self.options.tmpdir) initialize_chain_clean(self.options.tmpdir, 1) def setup_network(self): self.nodes = [] self.is_network_split = False self.nodes.append(start_node(0, self.options.tmpdir, ["-debug", "-printpriority=1"])) self.relayfee = self.nodes[0].getnetworkinfo()['relayfee'] def run_test(self): utxo_count = 90 utxos = create_confirmed_utxos(self.relayfee, self.nodes[0], utxo_count) base_fee = self.relayfee*100 # our transactions are smaller than 100kb txids = [] # Create 3 batches of transactions at 3 different fee rate levels range_size = utxo_count // 3 for i in xrange(3): txids.append([]) start_range = i * range_size end_range = start_range + range_size txids[i] = create_lots_of_big_transactions(self.nodes[0], self.txouts, utxos[start_range:end_range], (i+1)*base_fee) # Make sure that the size of each group of transactions exceeds # MAX_BLOCK_SIZE -- otherwise the test needs to be revised to create # more transactions. mempool = self.nodes[0].getrawmempool(True) sizes = [0, 0, 0] for i in xrange(3): for j in txids[i]: assert(j in mempool) sizes[i] += mempool[j]['size'] assert(sizes[i] > MAX_BLOCK_SIZE) # Fail => raise utxo_count # add a fee delta to something in the cheapest bucket and make sure it gets mined # also check that a different entry in the cheapest bucket is NOT mined (lower # the priority to ensure its not mined due to priority) self.nodes[0].prioritisetransaction(txids[0][0], 0, int(3*base_fee*COIN)) self.nodes[0].prioritisetransaction(txids[0][1], -1e15, 0) self.nodes[0].generate(1) mempool = self.nodes[0].getrawmempool() print "Assert that prioritised transaction was mined" assert(txids[0][0] not in mempool) assert(txids[0][1] in mempool) high_fee_tx = None for x in txids[2]: if x not in mempool: high_fee_tx = x # Something high-fee should have been mined! assert(high_fee_tx != None) # Add a prioritisation before a tx is in the mempool (de-prioritising a # high-fee transaction so that it's now low fee). self.nodes[0].prioritisetransaction(high_fee_tx, -1e15, -int(2*base_fee*COIN)) # Add everything back to mempool self.nodes[0].invalidateblock(self.nodes[0].getbestblockhash()) # Check to make sure our high fee rate tx is back in the mempool mempool = self.nodes[0].getrawmempool() assert(high_fee_tx in mempool) # Now verify the modified-high feerate transaction isn't mined before # the other high fee transactions. Keep mining until our mempool has # decreased by all the high fee size that we calculated above. while (self.nodes[0].getmempoolinfo()['bytes'] > sizes[0] + sizes[1]): self.nodes[0].generate(1) # High fee transaction should not have been mined, but other high fee rate # transactions should have been. mempool = self.nodes[0].getrawmempool() print "Assert that de-prioritised transaction is still in mempool" assert(high_fee_tx in mempool) for x in txids[2]: if (x != high_fee_tx): assert(x not in mempool) # Create a free, low priority transaction. Should be rejected. utxo_list = self.nodes[0].listunspent() assert(len(utxo_list) > 0) utxo = utxo_list[0] inputs = [] outputs = {} inputs.append({"txid" : utxo["txid"], "vout" : utxo["vout"]}) outputs[self.nodes[0].getnewaddress()] = utxo["amount"] - self.relayfee raw_tx = self.nodes[0].createrawtransaction(inputs, outputs) tx_hex = self.nodes[0].signrawtransaction(raw_tx)["hex"] txid = self.nodes[0].sendrawtransaction(tx_hex) # A tx that spends an in-mempool tx has 0 priority, so we can use it to # test the effect of using prioritise transaction for mempool acceptance inputs = [] inputs.append({"txid": txid, "vout": 0}) outputs = {} outputs[self.nodes[0].getnewaddress()] = utxo["amount"] - self.relayfee raw_tx2 = self.nodes[0].createrawtransaction(inputs, outputs) tx2_hex = self.nodes[0].signrawtransaction(raw_tx2)["hex"] tx2_id = self.nodes[0].decoderawtransaction(tx2_hex)["txid"] try: self.nodes[0].sendrawtransaction(tx2_hex) except JSONRPCException as exp: assert_equal(exp.error['code'], -26) # insufficient fee assert(tx2_id not in self.nodes[0].getrawmempool()) else: assert(False) # This is a less than 1000-byte transaction, so just set the fee # to be the minimum for a 1000 byte transaction and check that it is # accepted. self.nodes[0].prioritisetransaction(tx2_id, 0, int(self.relayfee*COIN)) print "Assert that prioritised free transaction is accepted to mempool" assert_equal(self.nodes[0].sendrawtransaction(tx2_hex), tx2_id) assert(tx2_id in self.nodes[0].getrawmempool()) if __name__ == '__main__': PrioritiseTransactionTest().main()

41.618056

128

0.646755

fbf4e74f60f2629eb8be8cca26802045f43e39e8

5,648

py

Python

smartshark/forms.py

benjaminLedel/serverSHARK

97decc03ba7bde8ad9c5f55d446d21ed5a26709c

[ "Apache-2.0" ]

1

2019-11-09T21:18:05.000Z

smartshark/forms.py

ArtyMandy/serverSHARK

7d3ce83c2bf310aeea7832dedbdaccd44ae7b1df

[ "Apache-2.0" ]

34

2017-09-28T12:38:15.000Z

2022-01-21T06:59:01.000Z

smartshark/forms.py

midasdev711/serverSHARK-backend

989f242c5454aaf913734cdb5779e90408be74cb

[ "Apache-2.0" ]

8

2018-05-23T12:46:45.000Z

2021-12-04T09:23:48.000Z

from difflib import SequenceMatcher from django.forms import HiddenInput from django.shortcuts import get_object_or_404 from form_utils.forms import BetterForm from server.base import SUBSTITUTIONS from .datacollection.pluginmanagementinterface import PluginManagementInterface from .models import Plugin, Argument, ExecutionHistory, PluginExecution from django import forms from .mongohandler import handler class ProjectForm(forms.Form): plugins = forms.ModelMultipleChoiceField(queryset=Plugin.objects.all().filter(active=True, installed=True)) class SparkSubmitForm(forms.Form): change_form_template = 'progressbarupload/change_form.html' add_form_template = 'progressbarupload/change_form.html' file = forms.FileField(label='Jar / Python File') class_name = forms.CharField(label='Fully Qualified Class Name', max_length=300, required=False) arguments = forms.CharField(label='Arguments', max_length=1000, required=False) def set_argument_values(form_data): for id_string, value in form_data.items(): if "argument" in id_string: parts = id_string.split("_") argument_id = parts[2] argument = get_object_or_404(Argument, pk=argument_id) argument.install_value = value argument.save() def set_argument_execution_values(form_data, plugin_executions): for id_string, value in form_data.items(): if "argument" in id_string: parts = id_string.split("_") plugin_id = parts[0] argument_id = parts[2] for plugin_execution in plugin_executions: if plugin_execution.plugin.id == int(plugin_id): found_plugin_execution = plugin_execution exe = ExecutionHistory(execution_argument=get_object_or_404(Argument, pk=argument_id), plugin_execution=found_plugin_execution, execution_value=value) exe.save() def get_form(plugins, post, type, project=None, initial_revisions=None, initial_exec_type=None): created_fieldsets = [] plugin_fields = {} EXEC_OPTIONS = (('all', 'Execute on all revisions'), ('error', 'Execute on all revisions with errors'), ('new', 'Execute on new revisions'), ('rev', 'Execute on following revisions:'), ('ver', 'Execute on all revisions where verification failed for one Plugin')) # we need to get the correct pluginmanager for this information because that depends on selected queue interface = PluginManagementInterface.find_correct_plugin_manager() cores_per_job = interface.default_cores_per_job() queue = interface.default_queue() added_fields = [] if type == 'execute': vcs_url = '' if project: vcs_url = handler.get_vcs_url_for_project_id(project.mongo_id) # Add fields if there are plugins that work on revision level rev_plugins = [plugin for plugin in plugins if plugin.plugin_type == 'rev'] if len(rev_plugins) > 0: plugin_fields['execution'] = forms.ChoiceField(widget=forms.RadioSelect, choices=EXEC_OPTIONS, initial=initial_exec_type) plugin_fields['revisions'] = forms.CharField(label='Revisions (comma-separated)', required=False, initial=initial_revisions, widget=forms.Textarea) added_fields.append('execution') added_fields.append('revisions') repo_plugins = [plugin for plugin in plugins if plugin.plugin_type == 'repo'] # If we have revision or repository plugins, we need to ask for the repository to use if len(rev_plugins) > 0 or len(repo_plugins) > 0: plugin_fields['repository_url'] = forms.CharField(label='Repository URL', required=True, initial=vcs_url) added_fields.append('repository_url') plugin_fields['queue'] = forms.CharField(label='Default job queue', initial=queue, required=False) added_fields.append('queue') plugin_fields['cores_per_job'] = forms.IntegerField(label='Cores per job (HPC only)', initial=cores_per_job, required=False) added_fields.append('cores_per_job') created_fieldsets.append(['Basis Configuration', {'fields': added_fields}]) # Create lists for the fieldsets and a list for the fields of the form for plugin in plugins: arguments = [] for argument in plugin.argument_set.all().filter(type=type): identifier = '%s_argument_%s' % (plugin.id, argument.id) arguments.append(identifier) initial = None for name, value in SUBSTITUTIONS.items(): if SequenceMatcher(None, argument.name, name).ratio() > 0.8: initial = value['name'] if argument.name == 'repository_url': initial = vcs_url plugin_fields[identifier] = forms.CharField(label=argument.name, required=argument.required, initial=initial, help_text=argument.description) created_fieldsets.append([str(plugin), {'fields': arguments}]) # Dynamically created pluginform class PluginForm(BetterForm): class Meta: fieldsets = created_fieldsets def __init__(self, *args, **kwargs): super(PluginForm, self).__init__(*args, **kwargs) self.fields = plugin_fields return PluginForm(post)

45.918699

182

0.651204

803ad3e702c20f4509af84f34ed355d63bfa6362

543

py

Python

E002.py

mariomtzjr/asyncio

1908107e93393ab6ac9f909bc245f694ab353443

[ "MIT" ]

null

E002.py

mariomtzjr/asyncio

1908107e93393ab6ac9f909bc245f694ab353443

[ "MIT" ]

null

E002.py

mariomtzjr/asyncio

1908107e93393ab6ac9f909bc245f694ab353443

[ "MIT" ]

null

# Importamos asyncio import asyncio # definimos la función async def show_seconds(): while True: for i in range(60): print(i, 's') await asyncio.sleep(1) async def show_minute(): for i in range(1, 10): await asyncio.sleep(60) print(i, 'minuto') loop = asyncio.get_event_loop() asyncio.set_event_loop(loop) # Con gather, podemos ejecutar las dos rutinas simultaneamente loop.run_until_complete( asyncio.gather( show_seconds(), show_minute() ) ) loop.close()

18.724138

62

0.640884

55c85c1ea5be64b7eaee9892897130d22c786d9d

10,444

py

Python

tensorflow/bert-tf2/gpu_movie_reviews.py

Phaeton-lang/baselines

472c248047fbb55b5fa0e620758047b7f0a1d041

[ "MIT" ]

null

tensorflow/bert-tf2/gpu_movie_reviews.py

Phaeton-lang/baselines

472c248047fbb55b5fa0e620758047b7f0a1d041

[ "MIT" ]

null

tensorflow/bert-tf2/gpu_movie_reviews.py

Phaeton-lang/baselines

472c248047fbb55b5fa0e620758047b7f0a1d041

[ "MIT" ]

null

import math import datetime from tqdm import tqdm import pandas as pd import numpy as np import tensorflow as tf import bert from bert import BertModelLayer from bert.loader import StockBertConfig, map_stock_config_to_params, load_stock_weights from bert.tokenization.bert_tokenization import FullTokenizer ## Load Data!!! from tensorflow import keras import os import re import argparse import time parser = argparse.ArgumentParser() parser.add_argument("--epochs", type=int, default=2, help='Number of epochs to run. (Default 2)') parser.add_argument("--steps", type=int, default=5, help='Number of steps per epoch. (Default 5)') parser.add_argument("--batch_size", type=int, default=48, help='Batch size. (Default 48)') # LMS parameters lms_group = parser.add_mutually_exclusive_group(required=False) lms_group.add_argument('--lms', dest='lms', action='store_true', help='Enable LMS') lms_group.add_argument('--no-lms', dest='lms', action='store_false', help='Disable LMS (Default)') parser.set_defaults(lms=False) args = parser.parse_args() if args.lms: tf.config.experimental.set_lms_enabled(True) tf.experimental.get_peak_bytes_active(0) # Load all files from a directory in a DataFrame. def load_directory_data(directory): data = {} data["sentence"] = [] data["sentiment"] = [] for file_path in tqdm(os.listdir(directory), desc=os.path.basename(directory)): with tf.io.gfile.GFile(os.path.join(directory, file_path), "r") as f: data["sentence"].append(f.read()) data["sentiment"].append(re.match("\d+_(\d+)\.txt", file_path).group(1)) return pd.DataFrame.from_dict(data) # Merge positive and negative examples, add a polarity column and shuffle. def load_dataset(directory): pos_df = load_directory_data(os.path.join(directory, "pos")) neg_df = load_directory_data(os.path.join(directory, "neg")) pos_df["polarity"] = 1 neg_df["polarity"] = 0 return pd.concat([pos_df, neg_df]).sample(frac=1).reset_index(drop=True) # Download and process the dataset files. def download_and_load_datasets(force_download=False): dataset = tf.keras.utils.get_file( fname="aclImdb.tar.gz", origin="http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz", extract=True) train_df = load_dataset(os.path.join(os.path.dirname(dataset), "aclImdb", "train")) test_df = load_dataset(os.path.join(os.path.dirname(dataset), "aclImdb", "test")) return train_df, test_df import bert from bert import BertModelLayer from bert.loader import StockBertConfig, map_stock_config_to_params, load_stock_weights class MovieReviewData: DATA_COLUMN = "sentence" LABEL_COLUMN = "polarity" def __init__(self, tokenizer: FullTokenizer, sample_size=None, max_seq_len=1024): self.tokenizer = tokenizer self.sample_size = sample_size self.max_seq_len = 0 train, test = download_and_load_datasets() train, test = map(lambda df: df.reindex(df[MovieReviewData.DATA_COLUMN].str.len().sort_values().index), [train, test]) if sample_size is not None: assert sample_size % 128 == 0 train, test = train.head(sample_size), test.head(sample_size) # train, test = map(lambda df: df.sample(sample_size), [train, test]) ((self.train_x, self.train_y), (self.test_x, self.test_y)) = map(self._prepare, [train, test]) print("max seq_len:", self.max_seq_len) self.max_seq_len = min(self.max_seq_len, max_seq_len) ((self.train_x, self.train_x_token_types), (self.test_x, self.test_x_token_types)) = map(self._pad, [self.train_x, self.test_x]) def _prepare(self, df): x, y = [], [] with tqdm(total=df.shape[0], unit_scale=True) as pbar: for ndx, row in df.iterrows(): text, label = row[MovieReviewData.DATA_COLUMN], row[MovieReviewData.LABEL_COLUMN] tokens = self.tokenizer.tokenize(text) tokens = ["[CLS]"] + tokens + ["[SEP]"] token_ids = self.tokenizer.convert_tokens_to_ids(tokens) self.max_seq_len = max(self.max_seq_len, len(token_ids)) x.append(token_ids) y.append(int(label)) pbar.update() return np.array(x), np.array(y) def _pad(self, ids): x, t = [], [] token_type_ids = [0] * self.max_seq_len for input_ids in ids: input_ids = input_ids[:min(len(input_ids), self.max_seq_len - 2)] input_ids = input_ids + [0] * (self.max_seq_len - len(input_ids)) x.append(np.array(input_ids)) t.append(token_type_ids) return np.array(x), np.array(t) bert_model_name="uncased_L-12_H-768_A-12" bert_ckpt_dir = os.path.join(".model/",bert_model_name) bert_ckpt_file = os.path.join(bert_ckpt_dir, "bert_model.ckpt") bert_config_file = os.path.join(bert_ckpt_dir, "bert_config.json") # perparing data tokenizer = FullTokenizer(vocab_file=os.path.join(bert_ckpt_dir, "vocab.txt")) data = MovieReviewData(tokenizer, sample_size=10*128*2,#5000, max_seq_len=128) print(" train_x:", data.train_x.shape) print("train_x_token_types:", data.train_x_token_types.shape) print(" train_y:", data.train_y.shape) print(" test_x:", data.test_x.shape) print(" max_seq_len:", data.max_seq_len) # train_x: (2560, 128) #train_x_token_types: (2560, 128) # train_y: (2560,) # test_x: (2560, 128) # max_seq_len: 128 def flatten_layers(root_layer): if isinstance(root_layer, keras.layers.Layer): yield root_layer for layer in root_layer._layers: for sub_layer in flatten_layers(layer): yield sub_layer def freeze_bert_layers(l_bert): """ Freezes all but LayerNorm and adapter layers - see arXiv:1902.00751. """ for layer in flatten_layers(l_bert): if layer.name in ["LayerNorm", "adapter-down", "adapter-up"]: layer.trainable = True elif len(layer._layers) == 0: layer.trainable = False l_bert.embeddings_layer.trainable = False def create_learning_rate_scheduler(max_learn_rate=5e-5, end_learn_rate=1e-7, warmup_epoch_count=10, total_epoch_count=90): def lr_scheduler(epoch): if epoch < warmup_epoch_count: res = (max_learn_rate/warmup_epoch_count) * (epoch + 1) else: res = max_learn_rate*math.exp(math.log(end_learn_rate/max_learn_rate)*(epoch-warmup_epoch_count+1)/(total_epoch_count-warmup_epoch_count+1)) return float(res) learning_rate_scheduler = tf.keras.callbacks.LearningRateScheduler(lr_scheduler, verbose=1) return learning_rate_scheduler def create_model(max_seq_len, adapter_size=64): """Creates a classification model.""" #adapter_size = 64 # see - arXiv:1902.00751 # create the bert layer with tf.io.gfile.GFile(bert_config_file, "r") as reader: bc = StockBertConfig.from_json_string(reader.read()) bert_params = map_stock_config_to_params(bc) bert_params.adapter_size = adapter_size bert = BertModelLayer.from_params(bert_params, name="bert") input_ids = keras.layers.Input(shape=(max_seq_len,), dtype='int32', name="input_ids") # token_type_ids = keras.layers.Input(shape=(max_seq_len,), dtype='int32', name="token_type_ids") # output = bert([input_ids, token_type_ids]) output = bert(input_ids) print("bert shape:", output.shape) cls_out = keras.layers.Lambda(lambda seq: seq[:, 0, :])(output) cls_out = keras.layers.Dropout(0.5)(cls_out) logits = keras.layers.Dense(units=768, activation="tanh")(cls_out) logits = keras.layers.Dropout(0.5)(logits) logits = keras.layers.Dense(units=2, activation="softmax")(logits) # model = keras.Model(inputs=[input_ids, token_type_ids], outputs=logits) # model.build(input_shape=[(None, max_seq_len), (None, max_seq_len)]) model = keras.Model(inputs=input_ids, outputs=logits) model.build(input_shape=(None, max_seq_len)) # load the pre-trained model weights load_stock_weights(bert, bert_ckpt_file) # freeze weights if adapter-BERT is used if adapter_size is not None: freeze_bert_layers(bert) model.compile(optimizer=keras.optimizers.Adam(), loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=[keras.metrics.SparseCategoricalAccuracy(name="acc")]) model.summary() return model adapter_size = None # use None to fine-tune all of BERT model = create_model(data.max_seq_len, adapter_size=adapter_size) log_dir = ".log/movie_reviews/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%s") tensorboard_callback = keras.callbacks.TensorBoard(log_dir=log_dir) total_epoch_count = args.epochs # model.fit(x=(data.train_x, data.train_x_token_types), y=data.train_y, start_time = int(round(time.time()*1000)) model.fit(x=data.train_x, y=data.train_y, validation_split=0.1, batch_size=args.batch_size, steps_per_epoch=args.steps, shuffle=True, epochs=total_epoch_count, callbacks=[create_learning_rate_scheduler(max_learn_rate=1e-5, end_learn_rate=1e-7, warmup_epoch_count=20, total_epoch_count=total_epoch_count), keras.callbacks.EarlyStopping(patience=20, restore_best_weights=True), tensorboard_callback]) end_time = int(round(time.time()*1000)) throughput = args.epochs * args.batch_size / (end_time - start_time) * 1000 print('\n') print('training throughput: {}'.format(throughput)) print('peak active bytes(MB): {}'.format(tf.experimental.get_peak_bytes_active(0)/1024.0/1024.0)) #model.save_weights('./movie_reviews.h5', overwrite=True) #_, train_acc = model.evaluate(data.train_x, data.train_y) #print("train acc:", train_acc)

40.48062

152

0.654538

a8aad70072f7f0b12fb0db2bc660917ba7be0b75

3,077

py

Python

mayan/apps/cabinets/urls.py

wan1869/dushuhu

934dd178e67140cffc6b9203e793fdf8bbc73a54

[ "Apache-2.0" ]

null

mayan/apps/cabinets/urls.py

wan1869/dushuhu

934dd178e67140cffc6b9203e793fdf8bbc73a54

[ "Apache-2.0" ]

null

mayan/apps/cabinets/urls.py

wan1869/dushuhu

934dd178e67140cffc6b9203e793fdf8bbc73a54

[ "Apache-2.0" ]

null

from django.conf.urls import url from .api_views import ( APIDocumentCabinetListView, APICabinetDocumentListView, APICabinetDocumentView, APICabinetListView, APICabinetView ) from .views import ( DocumentAddToCabinetView, DocumentCabinetListView, DocumentRemoveFromCabinetView, CabinetChildAddView, CabinetCreateView, CabinetDeleteView, CabinetDetailView, CabinetEditView, CabinetListView,CabinetListView4doc, ) urlpatterns_cabinets = [ url( regex=r'^cabinets/$', name='cabinet_list', view=CabinetListView.as_view() ), # 客户化代码，在文档管理中增加文档中心链接 url( regex=r'^cabinets4doc/$', name='cabinet_list4doc', view=CabinetListView4doc.as_view() ), url( regex=r'^cabinets/create/$', name='cabinet_create', view=CabinetCreateView.as_view() ), url( regex=r'^cabinets/(?P<cabinet_id>\d+)/$', name='cabinet_view', view=CabinetDetailView.as_view() ), url( regex=r'^cabinets/(?P<cabinet_id>\d+)/children/add/$', name='cabinet_child_add', view=CabinetChildAddView.as_view() ), url( regex=r'^cabinets/(?P<cabinet_id>\d+)/delete/$', name='cabinet_delete', view=CabinetDeleteView.as_view() ), url( regex=r'^cabinets/(?P<cabinet_id>\d+)/edit/$', name='cabinet_edit', view=CabinetEditView.as_view() ), ] urlpatterns_documents_cabinets = [ url( regex=r'^documents/(?P<document_id>\d+)/cabinets/$', name='document_cabinet_list', view=DocumentCabinetListView.as_view() ), url( regex=r'^documents/(?P<document_id>\d+)/cabinets/add/$', name='document_cabinet_add', view=DocumentAddToCabinetView.as_view() ), url( regex=r'^documents/multiple/cabinets/add/$', name='document_multiple_cabinet_add', view=DocumentAddToCabinetView.as_view() ), url( regex=r'^documents/(?P<document_id>\d+)/cabinets/remove/$', name='document_cabinet_remove', view=DocumentRemoveFromCabinetView.as_view() ), url( regex=r'^documents/multiple/cabinets/remove/$', name='multiple_document_cabinet_remove', view=DocumentRemoveFromCabinetView.as_view() ) ] urlpatterns = [] urlpatterns.extend(urlpatterns_cabinets) urlpatterns.extend(urlpatterns_documents_cabinets) api_urls = [ url( regex=r'^cabinets/(?P<pk>[0-9]+)/documents/(?P<document_pk>[0-9]+)/$', name='cabinet-document', view=APICabinetDocumentView.as_view() ), url( regex=r'^cabinets/(?P<pk>[0-9]+)/documents/$', name='cabinet-document-list', view=APICabinetDocumentListView.as_view() ), url( regex=r'^cabinets/(?P<pk>[0-9]+)/$', name='cabinet-detail', view=APICabinetView.as_view() ), url( regex=r'^cabinets/$', name='cabinet-list', view=APICabinetListView.as_view() ), url( regex=r'^documents/(?P<pk>[0-9]+)/cabinets/$', name='document-cabinet-list', view=APIDocumentCabinetListView.as_view() ), ]

31.080808

95

0.646409

ecb31c956ce5573dd85394d8430de0e2919c03ba

10,835

py

Python

hpcc/2020-07-24--competition-evo-arch/gen-comp-exp-phase1.py

amlalejini/Aagos

bb82da3a177fe467a912c9f44f516b445b4eba3b

[ "MIT" ]

null

hpcc/2020-07-24--competition-evo-arch/gen-comp-exp-phase1.py

amlalejini/Aagos

bb82da3a177fe467a912c9f44f516b445b4eba3b

[ "MIT" ]

null

hpcc/2020-07-24--competition-evo-arch/gen-comp-exp-phase1.py

amlalejini/Aagos

bb82da3a177fe467a912c9f44f516b445b4eba3b

[ "MIT" ]

null

''' Generate slurm job submission script for 2020-05-18 -- environmental change rate experiment. See 2020-05-18--env-chg-sweep/README.md for more details. ''' import argparse, os, sys, errno, subprocess, csv seed_offset = 970000 default_num_replicates = 100 job_time_request = "00:20:00" job_memory_request = "2G" job_name = "phase1" nk_config = { "environment_change": [ "-CHANGE_FREQUENCY 0" ] } gradient_config = { "environment_change": [ "-CHANGE_FREQUENCY 0" ] } shared_config = { "paired": [ "-BIT_FLIP_PROB 0.003", "-BIT_FLIP_PROB 0.1" ] } base_resub_script = \ """#!/bin/bash ########## Define Resources Needed with SBATCH Lines ########## #SBATCH --time=<<TIME_REQUEST>> # limit of wall clock time - how long the job will run (same as -t) #SBATCH --array=<<ARRAY_ID_RANGE>> #SBATCH --mem=<<MEMORY_REQUEST>> # memory required per node - amount of memory (in bytes) #SBATCH --job-name <<JOB_NAME>> # you can give your job a name for easier identification (same as -J) #SBATCH --account=devolab ########## Command Lines to Run ########## EXEC=Aagos CONFIG_DIR=<<CONFIG_DIR>> module load GCC/7.3.0-2.30 module load OpenMPI/3.1.1 module load Python/3.7.0 <<RESUBMISSION_LOGIC>> mkdir -p ${RUN_DIR} cd ${RUN_DIR} cp ${CONFIG_DIR}/Aagos.cfg . cp ${CONFIG_DIR}/${EXEC} . ./${EXEC} ${RUN_PARAMS} > run.log rm Aagos.cfg rm ${EXEC} """ base_run_logic = \ """ if [[ ${SLURM_ARRAY_TASK_ID} -eq <<RESUB_ID>> ]] ; then RUN_DIR=<<RUN_DIR>> RUN_PARAMS=<<RUN_PARAMS>> fi """ ''' This is functionally equivalent to the mkdir -p [fname] bash command ''' def mkdir_p(path): try: os.makedirs(path) except OSError as exc: # Python >2.5 if exc.errno == errno.EEXIST and os.path.isdir(path): pass else: raise def extract_settings(run_config_path): content = None with open(run_config_path, "r") as fp: content = fp.read().strip().split("\n") header = content[0].split(",") header_lu = {header[i].strip():i for i in range(0, len(header))} content = content[1:] configs = [l for l in csv.reader(content, quotechar='"', delimiter=',', quoting=csv.QUOTE_ALL, skipinitialspace=True)] return {param[header_lu["parameter"]]:param[header_lu["value"]] for param in configs} def is_run_complete(path): # (1) Does the run directory exist? print(f" Run dir? {os.path.exists(path)}") if not os.path.exists(path): return False # (2) If the run directory exists, did the run complete? # Is there a run config file? run_config_path = os.path.join(path, "output", "run_config.csv") print(f" Run config? {os.path.exists(run_config_path)}") if not os.path.exists(run_config_path): return False # The run config file exists, extract parameters. run_params = extract_settings(run_config_path) final_gen = run_params["TOTAL_GENS"] # We'll look for this generation in the fitness.csv file fitness_file_path = os.path.join(path, "output", "fitness.csv") print(f" Fitness file? {os.path.exists(fitness_file_path)}") if not os.path.exists(fitness_file_path): return False fitness_contents = None with open(fitness_file_path, "r") as fp: fitness_contents = fp.read().strip().split("\n") if len(fitness_contents) == 0: return False header = fitness_contents[0].split(",") header_lu = {header[i].strip():i for i in range(0, len(header))} last_line = fitness_contents[-1].split(",") print(f" len(header) == len(last_line)? {len(header) == len(last_line)}") if len(header) != len(last_line): return False final_fitness_update = last_line[header_lu["update"]] print(f" {final_fitness_update} =?= {final_gen}") if final_fitness_update != final_gen: return False return True def main(): parser = argparse.ArgumentParser(description="Run submission script.") parser.add_argument("--data_dir", type=str, help="Where is the base output directory for each run?") parser.add_argument("--config_dir", type=str, help="Where is the configuration directory for experiment?") parser.add_argument("--replicates", type=int, default=default_num_replicates, help="How many replicates should we run of each condition?") parser.add_argument("--query_condition_cnt", action="store_true", help="How many conditions?") args = parser.parse_args() data_dir = args.data_dir config_dir = args.config_dir num_replicates = args.replicates # Find all environments nk_env_dir = os.path.join(config_dir, "environments", "nk") nk_environments = [os.path.join(nk_env_dir, d) for d in os.listdir(nk_env_dir) if ".env" in d] nk_environments.sort(key=lambda x : int(x.split(".env")[0].split("_")[-1])) print(f"Found {len(nk_environments)} nk environments.") gradient_env_dir = os.path.join(config_dir, "environments", "gradient") gradient_environments = [os.path.join(gradient_env_dir, d) for d in os.listdir(gradient_env_dir) if ".env" in d] gradient_environments.sort(key=lambda x : int(x.split(".env")[0].split("_")[-1])) print(f"Found {len(gradient_environments)} gradient environments.") if len(gradient_environments) != num_replicates: print("num_replicates =/= number gradient environments") exit(-1) if len(nk_environments) != num_replicates: print("num_replicates =/= number gradient environments") exit(-1) # Compute all combinations of NK fitness model settings and gradient fitness settings nk_combos = [f"{chg} {mut} -GRADIENT_MODEL 0" for chg in nk_config["environment_change"] for mut in shared_config["paired"] ] gradient_combos = [f"{chg} {mut} -GRADIENT_MODEL 1" for chg in gradient_config["environment_change"] for mut in shared_config["paired"] ] # Combine combos = gradient_combos + nk_combos if (args.query_condition_cnt): print("Conditions", combos) print(f"Number of conditions: {len(combos)}") exit(0) # Find complete/incomplete runs. num_finished = 0 resubmissions = [] nk_run_pairings = {i:[] for i in range(len(nk_environments))} grad_run_pairings = {i:[] for i in range(len(gradient_environments))} for condition_id in range(0, len(combos)): condition_params = combos[condition_id] print(f"Processing condition: {condition_params}") # Run N replicates of this condition. gradient_env_id = 0 nk_env_id = 0 for i in range(1, num_replicates+1): # Compute seed for this replicate. seed = seed_offset + (condition_id * num_replicates) + i run_name = f"SEED_{seed}" run_dir = os.path.join(data_dir, run_name) env = None if "-GRADIENT_MODEL 0" in condition_params: env = nk_environments[nk_env_id] nk_run_pairings[nk_env_id].append({"seed": seed, "run_dir": run_dir, "condition": condition_params}) nk_env_id += 1 elif "-GRADIENT_MODEL 1" in condition_params: env = gradient_environments[gradient_env_id] grad_run_pairings[gradient_env_id].append({"seed": seed, "run_dir": run_dir, "condition": condition_params}) gradient_env_id += 1 else: print("????") exit(-1) # Generate run parameters, use to name run. run_params = condition_params + f" -SEED {seed} -LOAD_ENV_FILE {env}" # (1) Does the run directory exist? print(f" {run_params}") run_complete = is_run_complete(run_dir) print(f" finished? {run_complete}") num_finished += int(run_complete) if not run_complete: resubmissions.append({"run_dir": run_dir, "run_params": run_params}) print(f"Runs finished: {num_finished}") print(f"Resubmissions: {len(resubmissions)}") print("Generating run pairings...") pairings_header = ["gradient_model", "env", "seed_0", "run_dir_0", "condition_0", "seed_1", "run_dir_1", "condition_1"] pairings_content = [",".join(pairings_header)] for env_id in grad_run_pairings: if len(grad_run_pairings[env_id]) != 2: print("Gradient run pairing is not 2!") exit(-1) info = { "gradient_model": "1", "seed_0": str(grad_run_pairings[env_id][0]["seed"]), "run_dir_0": str(grad_run_pairings[env_id][0]["run_dir"]), "seed_1": str(grad_run_pairings[env_id][1]["seed"]), "run_dir_1": str(grad_run_pairings[env_id][1]["run_dir"]), "env": gradient_environments[env_id], "condition_0": str(grad_run_pairings[env_id][0]["condition"]), "condition_1": str(grad_run_pairings[env_id][1]["condition"]) } pairings_content.append(",".join([info[key] for key in pairings_header])) for env_id in nk_run_pairings: if len(nk_run_pairings[env_id]) != 2: print("NK run pairing is not 2!") exit(-1) info = { "gradient_model": "0", "seed_0": str(nk_run_pairings[env_id][0]["seed"]), "run_dir_0": str(nk_run_pairings[env_id][0]["run_dir"]), "seed_1": str(nk_run_pairings[env_id][1]["seed"]), "run_dir_1": str(nk_run_pairings[env_id][1]["run_dir"]), "env": nk_environments[env_id], "condition_0": str(nk_run_pairings[env_id][0]["condition"]), "condition_1": str(nk_run_pairings[env_id][1]["condition"]) } pairings_content.append(",".join([info[key] for key in pairings_header])) with open("run_pairings.csv", "w") as fp: fp.write("\n".join(pairings_content)) print("Generating resubmission script...") if len(resubmissions) == 0: return resub_logic = "" array_id = 1 for resub in resubmissions: run_params = resub["run_params"] run_logic = base_run_logic run_logic = run_logic.replace("<<RESUB_ID>>", str(array_id)) run_logic = run_logic.replace("<<RUN_DIR>>", resub["run_dir"]) run_logic = run_logic.replace("<<RUN_PARAMS>>", f"'{run_params}'") resub_logic += run_logic array_id += 1 script = base_resub_script script = script.replace("<<TIME_REQUEST>>", job_time_request) script = script.replace("<<ARRAY_ID_RANGE>>", f"1-{len(resubmissions)}") script = script.replace("<<MEMORY_REQUEST>>", job_memory_request) script = script.replace("<<JOB_NAME>>", job_name) script = script.replace("<<CONFIG_DIR>>", config_dir) script = script.replace("<<RESUBMISSION_LOGIC>>", resub_logic) with open("phase1-sub.sb", "w") as fp: fp.write(script) if __name__ == "__main__": main()

38.151408

142

0.642547

dc8d1deddb26172a724deaf51a0403302554d9f2

8,550

py

Python

tensorflow/python/keras/integration_test.py

rickyzhang82/tensorflow

397fdb37bc923f1f56d0224617cfd1b1dfd76d99

[ "Apache-2.0" ]

3

2021-01-19T20:24:09.000Z

2021-01-19T21:40:05.000Z

tensorflow/python/keras/integration_test.py

rickyzhang82/tensorflow

397fdb37bc923f1f56d0224617cfd1b1dfd76d99

[ "Apache-2.0" ]

1

2019-07-27T16:45:02.000Z

tensorflow/python/keras/integration_test.py

rickyzhang82/tensorflow

397fdb37bc923f1f56d0224617cfd1b1dfd76d99

[ "Apache-2.0" ]

2

2018-12-20T17:53:37.000Z

2018-12-27T18:49:13.000Z

# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Integration tests for Keras.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from tensorflow.python import keras from tensorflow.python.framework import dtypes from tensorflow.python.keras import keras_parameterized from tensorflow.python.keras import testing_utils from tensorflow.python.ops import rnn_cell from tensorflow.python.platform import test @keras_parameterized.run_with_all_model_types @keras_parameterized.run_all_keras_modes class VectorClassificationIntegrationTest(keras_parameterized.TestCase): def test_vector_classification(self): np.random.seed(1337) (x_train, y_train), _ = testing_utils.get_test_data( train_samples=100, test_samples=0, input_shape=(10,), num_classes=2) y_train = keras.utils.to_categorical(y_train) model = testing_utils.get_model_from_layers( [keras.layers.Dense(16, activation='relu'), keras.layers.Dropout(0.1), keras.layers.Dense(y_train.shape[-1], activation='softmax')], input_shape=x_train.shape[1:]) model.compile(loss='categorical_crossentropy', optimizer=keras.optimizer_v2.adam.Adam(0.005), metrics=['accuracy'], run_eagerly=testing_utils.should_run_eagerly()) history = model.fit(x_train, y_train, epochs=10, batch_size=10, validation_data=(x_train, y_train), verbose=2) self.assertGreater(history.history['val_acc'][-1], 0.7) _, val_acc = model.evaluate(x_train, y_train) self.assertAlmostEqual(history.history['val_acc'][-1], val_acc) predictions = model.predict(x_train) self.assertEqual(predictions.shape, (x_train.shape[0], 2)) def test_vector_classification_shared_model(self): # Test that Sequential models that feature internal updates # and internal losses can be shared. np.random.seed(1337) (x_train, y_train), _ = testing_utils.get_test_data( train_samples=100, test_samples=0, input_shape=(10,), num_classes=2) y_train = keras.utils.to_categorical(y_train) base_model = testing_utils.get_model_from_layers( [keras.layers.Dense(16, activation='relu', kernel_regularizer=keras.regularizers.l2(1e-5), bias_regularizer=keras.regularizers.l2(1e-5)), keras.layers.BatchNormalization()], input_shape=x_train.shape[1:]) x = keras.layers.Input(x_train.shape[1:]) y = base_model(x) y = keras.layers.Dense(y_train.shape[-1], activation='softmax')(y) model = keras.models.Model(x, y) model.compile(loss='categorical_crossentropy', optimizer=keras.optimizer_v2.adam.Adam(0.005), metrics=['accuracy'], run_eagerly=testing_utils.should_run_eagerly()) if not testing_utils.should_run_eagerly(): self.assertEqual(len(model.losses), 2) self.assertEqual(len(model.updates), 2) history = model.fit(x_train, y_train, epochs=10, batch_size=10, validation_data=(x_train, y_train), verbose=2) self.assertGreater(history.history['val_acc'][-1], 0.7) _, val_acc = model.evaluate(x_train, y_train) self.assertAlmostEqual(history.history['val_acc'][-1], val_acc) predictions = model.predict(x_train) self.assertEqual(predictions.shape, (x_train.shape[0], 2)) # See b/122473407 @keras_parameterized.run_all_keras_modes(always_skip_v1=True) class TimeseriesClassificationIntegrationTest(keras_parameterized.TestCase): @keras_parameterized.run_with_all_model_types def test_timeseries_classification(self): np.random.seed(1337) (x_train, y_train), _ = testing_utils.get_test_data( train_samples=100, test_samples=0, input_shape=(4, 10), num_classes=2) y_train = keras.utils.to_categorical(y_train) layers = [ keras.layers.LSTM(5, return_sequences=True), keras.layers.GRU(y_train.shape[-1], activation='softmax') ] model = testing_utils.get_model_from_layers( layers, input_shape=x_train.shape[1:]) model.compile(loss='categorical_crossentropy', optimizer=keras.optimizer_v2.adam.Adam(0.005), metrics=['accuracy'], run_eagerly=testing_utils.should_run_eagerly()) history = model.fit(x_train, y_train, epochs=15, batch_size=10, validation_data=(x_train, y_train), verbose=2) self.assertGreater(history.history['val_acc'][-1], 0.7) _, val_acc = model.evaluate(x_train, y_train) self.assertAlmostEqual(history.history['val_acc'][-1], val_acc) predictions = model.predict(x_train) self.assertEqual(predictions.shape, (x_train.shape[0], 2)) def test_timeseries_classification_sequential_tf_rnn(self): np.random.seed(1337) (x_train, y_train), _ = testing_utils.get_test_data( train_samples=100, test_samples=0, input_shape=(4, 10), num_classes=2) y_train = keras.utils.to_categorical(y_train) model = keras.models.Sequential() model.add(keras.layers.RNN(rnn_cell.LSTMCell(5), return_sequences=True, input_shape=x_train.shape[1:])) model.add(keras.layers.RNN(rnn_cell.GRUCell(y_train.shape[-1], activation='softmax', dtype=dtypes.float32))) model.compile(loss='categorical_crossentropy', optimizer=keras.optimizer_v2.adam.Adam(0.005), metrics=['accuracy'], run_eagerly=testing_utils.should_run_eagerly()) history = model.fit(x_train, y_train, epochs=15, batch_size=10, validation_data=(x_train, y_train), verbose=2) self.assertGreater(history.history['val_acc'][-1], 0.7) _, val_acc = model.evaluate(x_train, y_train) self.assertAlmostEqual(history.history['val_acc'][-1], val_acc) predictions = model.predict(x_train) self.assertEqual(predictions.shape, (x_train.shape[0], 2)) @keras_parameterized.run_with_all_model_types @keras_parameterized.run_all_keras_modes class ImageClassificationIntegrationTest(keras_parameterized.TestCase): def test_image_classification(self): np.random.seed(1337) (x_train, y_train), _ = testing_utils.get_test_data( train_samples=100, test_samples=0, input_shape=(10, 10, 3), num_classes=2) y_train = keras.utils.to_categorical(y_train) layers = [ keras.layers.Conv2D(4, 3, padding='same', activation='relu'), keras.layers.Conv2D(8, 3, padding='same'), keras.layers.BatchNormalization(), keras.layers.Conv2D(8, 3, padding='same'), keras.layers.Flatten(), keras.layers.Dense(y_train.shape[-1], activation='softmax') ] model = testing_utils.get_model_from_layers( layers, input_shape=x_train.shape[1:]) model.compile(loss='categorical_crossentropy', optimizer=keras.optimizer_v2.adam.Adam(0.005), metrics=['accuracy'], run_eagerly=testing_utils.should_run_eagerly()) history = model.fit(x_train, y_train, epochs=10, batch_size=10, validation_data=(x_train, y_train), verbose=2) self.assertGreater(history.history['val_acc'][-1], 0.7) _, val_acc = model.evaluate(x_train, y_train) self.assertAlmostEqual(history.history['val_acc'][-1], val_acc) predictions = model.predict(x_train) self.assertEqual(predictions.shape, (x_train.shape[0], 2)) if __name__ == '__main__': test.main()

42.326733

80

0.665146

32a9fe7827bd8b2600e34ec80f2ecda3c3239d45

3,008

py

Python

universal_landmark_detection/model/datasets/hand.py

MIRACLE-Center/YOLO_Universal_Anatomical_Landmark_Detection

23ec0b921e6c15d040f36650fd862059745edc33

[ "MIT" ]

9

2021-12-17T06:43:58.000Z

2022-03-23T13:42:05.000Z

universal_landmark_detection/model/datasets/hand.py

MIRACLE-Center/YOLO_Universal_Anatomical_Landmark_Detection

23ec0b921e6c15d040f36650fd862059745edc33

[ "MIT" ]

3

2022-01-01T08:41:29.000Z

2022-03-29T18:23:40.000Z

universal_landmark_detection/model/datasets/hand.py

MIRACLE-Center/YOLO_Universal_Anatomical_Landmark_Detection

23ec0b921e6c15d040f36650fd862059745edc33

[ "MIT" ]

3

2022-01-04T04:21:43.000Z

2022-02-08T08:59:16.000Z

import os from PIL import Image import numpy as np import pandas as pd import torch import torch.utils.data as data from ..utils import gaussianHeatmap, transformer class Hand(data.Dataset): def __init__(self, prefix, phase, transform_params=dict(), sigma=10, num_landmark=19, size=[1000, 1400],use_background_channel=False): self.transform = transformer(transform_params) self.size = tuple(size) self.num_landmark = num_landmark self.pth_Image = os.path.join(prefix, 'jpg') self.use_background_channel = use_background_channel self.labels = pd.read_csv(os.path.join( prefix, 'all.csv'), header=None, index_col=0) # file index index_set = set(self.labels.index) files = [i[:-4] for i in sorted(os.listdir(self.pth_Image))] files = [i for i in files if int(i) in index_set] n = len(files) train_num = 550 # round(n*0.7) val_num = 59 # round(n*0.1) test_num = n - train_num - val_num if phase == 'train': self.indexes = files[:train_num] elif phase == 'validate': self.indexes = files[train_num:-test_num] elif phase == 'test': self.indexes = files[-test_num:] else: raise Exception("Unknown phase: {phase}".fomrat(phase=phase)) self.genHeatmap = gaussianHeatmap(sigma, dim=len(size)) def __getitem__(self, index): name = self.indexes[index] ret = {'name': name} img, origin_size = self.readImage( os.path.join(self.pth_Image, name+'.jpg')) points = self.readLandmark(name, origin_size) li = [self.genHeatmap(point, self.size) for point in points] if self.use_background_channel: sm = sum(li) sm[sm>1]=1 li.append(1-sm) gt = np.array(li) img, gt = self.transform(img, gt) ret['input'] = torch.FloatTensor(img) ret['gt'] = torch.FloatTensor(gt) return ret def __len__(self): return len(self.indexes) def readLandmark(self, name, origin_size): li = list(self.labels.loc[int(name), :]) r1, r2 = [i/j for i, j in zip(self.size, origin_size)] points = [tuple([round(li[i]*r1), round(li[i+1]*r2)]) for i in range(0, len(li), 2)] return points def readImage(self, path): '''Read image from path and return a numpy.ndarray in shape of cxwxh ''' img = Image.open(path) origin_size = img.size # resize, width x height, channel=1 img = img.resize(self.size) arr = np.array(img) # channel x width x height: 1 x width x height arr = np.expand_dims(np.transpose(arr, (1, 0)), 0).astype(np.float) # conveting to float is important, otherwise big bug occurs for i in range(arr.shape[0]): arr[i] = (arr[i]-arr[i].mean())/(arr[i].std()+1e-20) return arr, origin_size

34.181818

138

0.591423

394b73f1c5425012fe96e683ac6789140f861614

6,222

py

Python

tests/test_users.py

lfaraone/grouper

7df5eda8003a0b4a9ba7f0dcb044ae1e4710b171

[ "Apache-2.0" ]

null

tests/test_users.py

lfaraone/grouper

7df5eda8003a0b4a9ba7f0dcb044ae1e4710b171

[ "Apache-2.0" ]

1

2016-02-18T18:55:29.000Z

tests/test_users.py

lfaraone/grouper

7df5eda8003a0b4a9ba7f0dcb044ae1e4710b171

[ "Apache-2.0" ]

null

from urllib import urlencode import pytest from tornado.httpclient import HTTPError from fixtures import fe_app as app from fixtures import standard_graph, graph, users, groups, session, permissions # noqa from grouper.constants import USER_ADMIN from grouper.models.user_token import UserToken from grouper.user_metadata import set_user_metadata, get_user_metadata from grouper.user_token import add_new_user_token, disable_user_token from url_util import url from util import get_groups, grant_permission from grouper.models.permission import Permission def test_basic_metadata(standard_graph, session, users, groups, permissions): # noqa """ Test basic metadata functionality. """ graph = standard_graph # noqa user_id = users["zorkian@a.co"].id assert len(get_user_metadata(session, users["zorkian@a.co"].id)) == 0, "No metadata yet" # Test setting "foo" to 1 works, and we get "1" back (metadata is defined as strings) set_user_metadata(session, user_id, "foo", 1) md = get_user_metadata(session, user_id) assert len(md) == 1, "One metadata item" assert [d.data_value for d in md if d.data_key == "foo"] == ["1"], "foo is 1" set_user_metadata(session, user_id, "bar", "test string") md = get_user_metadata(session, user_id) assert len(md) == 2, "Two metadata items" assert [d.data_value for d in md if d.data_key == "bar"] == ["test string"], \ "bar is test string" set_user_metadata(session, user_id, "foo", "test2") md = get_user_metadata(session, user_id) assert len(md) == 2, "Two metadata items" assert [d.data_value for d in md if d.data_key == "foo"] == ["test2"], "foo is test2" set_user_metadata(session, user_id, "foo", None) md = get_user_metadata(session, user_id) assert len(md) == 1, "One metadata item" assert [d.data_value for d in md if d.data_key == "foo"] == [], "foo is not found" set_user_metadata(session, user_id, "baz", None) md = get_user_metadata(session, user_id) assert len(md) == 1, "One metadata item" def test_usertokens(standard_graph, session, users, groups, permissions): # noqa user = users["zorkian@a.co"] assert len(user.tokens) == 0 tok, secret = add_new_user_token(session, UserToken(user=user, name="Foo")) assert len(user.tokens) == 1 assert tok.check_secret(secret) assert tok.check_secret("invalid") == False assert tok.enabled == True disable_user_token(session, tok) assert tok.enabled == False assert user.tokens[0].enabled == False assert UserToken.get(session, name="Foo", user=user).enabled == False assert tok.check_secret(secret) == False @pytest.mark.gen_test def test_user_tok_acls(session, graph, users, user_admin_perm_to_auditors, http_client, base_url): role_user = "role@a.co" admin = "zorkian@a.co" pleb = "gary@a.co" # admin creating token for role user fe_url = url(base_url, "/users/{}/tokens/add".format(role_user)) resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": admin}, body=urlencode({"name": "foo"})) assert resp.code == 200 with pytest.raises(HTTPError): # non-admin creating token for role user resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": pleb}, body=urlencode({"name": "foo2"})) fe_url = url(base_url, "/users/{}/tokens/add".format(pleb)) with pytest.raises(HTTPError): # admin creating token for normal (non-role) user resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": admin}, body=urlencode({"name": "foo3"})) @pytest.fixture def user_admin_perm_to_auditors(session, groups): """Adds a USER_ADMIN permission to the "auditors" group""" user_admin_perm, is_new = Permission.get_or_create(session, name=USER_ADMIN, description="grouper.admin.users permission") session.commit() grant_permission(groups["auditors"], user_admin_perm) @pytest.mark.gen_test def test_graph_disable(session, graph, users, groups, user_admin_perm_to_auditors, http_client, base_url): graph.update_from_db(session) old_users = graph.users assert sorted(old_users) == sorted(users.keys()) # disable a user username = u"oliver@a.co" fe_url = url(base_url, "/users/{}/disable".format(username)) resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": "zorkian@a.co"}, body=urlencode({})) assert resp.code == 200 graph.update_from_db(session) assert len(graph.users) == (len(old_users) - 1), 'disabled user removed from graph' assert username not in graph.users @pytest.mark.gen_test def test_user_disable(session, graph, users, user_admin_perm_to_auditors, http_client, base_url): username = u"oliver@a.co" old_groups = sorted(get_groups(graph, username)) # disable user fe_url = url(base_url, "/users/{}/disable".format(username)) resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": "zorkian@a.co"}, body=urlencode({})) assert resp.code == 200 # enable user, PRESERVE groups fe_url = url(base_url, "/users/{}/enable".format(username)) resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": "zorkian@a.co"}, body=urlencode({"preserve_membership": "true"})) assert resp.code == 200 graph.update_from_db(session) assert old_groups == sorted(get_groups(graph, username)), 'nothing should be removed' # disable and enable, PURGE groups fe_url = url(base_url, "/users/{}/disable".format(username)) resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": "zorkian@a.co"}, body=urlencode({})) assert resp.code == 200 fe_url = url(base_url, "/users/{}/enable".format(username)) resp = yield http_client.fetch(fe_url, method="POST", headers={"X-Grouper-User": "zorkian@a.co"}, body=urlencode({})) assert resp.code == 200 graph.update_from_db(session) assert len(get_groups(graph, username)) == 0, 'all group membership should be removed'

39.630573

98

0.687239

cd3465a60f6867e2c73f83b2dc2f84913000174a

4,800

py

Python

satori/tests/test_utils.py

mgeisler/satori

dea382bae1cd043189589c0f7d4c20b4b6725ab5

[ "Apache-2.0" ]

1

2015-01-18T19:56:28.000Z

satori/tests/test_utils.py

samstav/satori

239fa1e3c7aac78599145c670576f0ac76a41a89

[ "Apache-2.0" ]

null

satori/tests/test_utils.py

samstav/satori

239fa1e3c7aac78599145c670576f0ac76a41a89

[ "Apache-2.0" ]

null

# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """Tests for utils module.""" import datetime import time import unittest import mock from satori import utils class SomeTZ(datetime.tzinfo): """A random timezone.""" def utcoffset(self, dt): return datetime.timedelta(minutes=45) def tzname(self, dt): return "STZ" def dst(self, dt): return datetime.timedelta(0) class TestTimeUtils(unittest.TestCase): """Test time formatting functions.""" def test_get_formatted_time_string(self): some_time = time.gmtime(0) with mock.patch.object(utils.time, 'gmtime') as mock_gmt: mock_gmt.return_value = some_time result = utils.get_time_string() self.assertEqual(result, "1970-01-01 00:00:00 +0000") def test_get_formatted_time_string_time_struct(self): result = utils.get_time_string(time_obj=time.gmtime(0)) self.assertEqual(result, "1970-01-01 00:00:00 +0000") def test_get_formatted_time_string_datetime(self): result = utils.get_time_string( time_obj=datetime.datetime(1970, 2, 1, 1, 2, 3, 0)) self.assertEqual(result, "1970-02-01 01:02:03 +0000") def test_get_formatted_time_string_datetime_tz(self): result = utils.get_time_string( time_obj=datetime.datetime(1970, 2, 1, 1, 2, 3, 0, SomeTZ())) self.assertEqual(result, "1970-02-01 01:47:03 +0000") def test_parse_time_string(self): result = utils.parse_time_string("1970-02-01 01:02:03 +0000") self.assertEqual(result, datetime.datetime(1970, 2, 1, 1, 2, 3, 0)) def test_parse_time_string_with_tz(self): result = utils.parse_time_string("1970-02-01 01:02:03 +1000") self.assertEqual(result, datetime.datetime(1970, 2, 1, 11, 2, 3, 0)) class TestGetSource(unittest.TestCase): def setUp(self): self.function_signature = "def get_my_source_oneline_docstring(self):" self.function_oneline_docstring = '"""A beautiful docstring."""' self.function_multiline_docstring = ('"""A beautiful docstring.\n\n' 'Is a terrible thing to ' 'waste.\n"""') self.function_body = ['the_problem = "not the problem"', 'return the_problem'] def get_my_source_oneline_docstring(self): """A beautiful docstring.""" the_problem = "not the problem" return the_problem def get_my_source_multiline_docstring(self): """A beautiful docstring. Is a terrible thing to waste. """ the_problem = "not the problem" return the_problem def test_get_source(self): nab = utils.get_source_body(self.get_my_source_oneline_docstring) self.assertEqual("\n".join(self.function_body), nab) def test_get_source_with_docstring(self): nab = utils.get_source_body(self.get_my_source_oneline_docstring, with_docstring=True) copy = self.function_oneline_docstring + "\n" + "\n".join( self.function_body) self.assertEqual(copy, nab) def test_get_source_with_multiline_docstring(self): nab = utils.get_source_body(self.get_my_source_multiline_docstring, with_docstring=True) copy = (self.function_multiline_docstring + "\n" + "\n".join( self.function_body)) self.assertEqual(copy, nab) def test_get_definition(self): nab = utils.get_source_definition( self.get_my_source_oneline_docstring) copy = "%s\n \n %s" % (self.function_signature, "\n ".join(self.function_body)) self.assertEqual(copy, nab) def test_get_definition_with_docstring(self): nab = utils.get_source_definition( self.get_my_source_oneline_docstring, with_docstring=True) copy = "%s\n %s\n %s" % (self.function_signature, self.function_oneline_docstring, "\n ".join(self.function_body)) self.assertEqual(copy, nab) if __name__ == '__main__': unittest.main()

36.363636

78

0.634583

be08c4d857c93ce32a9059bd93ff1c2e44b33cb2

4,664

py

Python

arknights_mower/ocr/ocrspace.py

yuanyan3060/arknights-mower

599b96e02590a435dc50bdef450b45c851654c4f

[ "MIT" ]

1

2021-09-11T04:11:15.000Z

arknights_mower/ocr/ocrspace.py

yuanyan3060/arknights-mower

599b96e02590a435dc50bdef450b45c851654c4f

[ "MIT" ]

null

arknights_mower/ocr/ocrspace.py

yuanyan3060/arknights-mower

599b96e02590a435dc50bdef450b45c851654c4f

[ "MIT" ]

null

import traceback import cv2 import numpy import base64 import requests from .utils import fix from ..utils.log import logger from ..utils.recognize import RecognizeError class Language: Arabic = 'ara' Bulgarian = 'bul' Chinese_Simplified = 'chs' Chinese_Traditional = 'cht' Croatian = 'hrv' Danish = 'dan' Dutch = 'dut' English = 'eng' Finnish = 'fin' French = 'fre' German = 'ger' Greek = 'gre' Hungarian = 'hun' Korean = 'kor' Italian = 'ita' Japanese = 'jpn' Norwegian = 'nor' Polish = 'pol' Portuguese = 'por' Russian = 'rus' Slovenian = 'slv' Spanish = 'spa' Swedish = 'swe' Turkish = 'tur' class API: def __init__( self, endpoint='https://api.ocr.space/parse/image', api_key='helloworld', language=Language.Chinese_Simplified, **kwargs, ): """ :param endpoint: API endpoint to contact :param api_key: API key string :param language: document language :param **kwargs: other settings to API """ self.timeout = (5, 10) self.endpoint = endpoint self.payload = { 'isOverlayRequired': True, 'apikey': api_key, 'language': language, **kwargs } def _parse(self, raw): logger.debug(raw) if type(raw) == str: raise RecognizeError(raw) if raw['IsErroredOnProcessing']: raise RecognizeError(raw['ErrorMessage'][0]) if raw['ParsedResults'][0].get('TextOverlay') is None: raise RecognizeError('No Result') # ret = [] # for x in raw['ParsedResults'][0]['TextOverlay']['Lines']: # left, right, up, down = 1e30, 0, 1e30, 0 # for w in x['Words']: # left = min(left, w['Left']) # right = max(right, w['Left'] + w['Width']) # up = min(up, w['Top']) # down = max(down, w['Top'] + w['Height']) # ret.append([x['LineText'], [(left + right) / 2, (up + down) / 2]]) # return ret ret = [x['LineText'] for x in raw['ParsedResults'][0]['TextOverlay']['Lines']] return ret def ocr_file(self, fp): """ Process image from a local path. :param fp: A path or pointer to your file :return: Result in JSON format """ with (open(fp, 'rb') if type(fp) == str else fp) as f: r = requests.post( self.endpoint, files={'filename': f}, data=self.payload, timeout=self.timeout, ) return self._parse(r.json()) def ocr_url(self, url): """ Process an image at a given URL. :param url: Image url :return: Result in JSON format. """ data = self.payload data['url'] = url r = requests.post( self.endpoint, data=data, timeout=self.timeout, ) return self._parse(r.json()) def ocr_base64(self, base64image): """ Process an image given as base64. :param base64image: Image represented as Base64 :return: Result in JSON format. """ data = self.payload data['base64Image'] = base64image r = requests.post( self.endpoint, data=data, timeout=self.timeout, ) return self._parse(r.json()) def ocr_image(self, image: numpy.ndarray): data = self.payload data['base64Image'] = 'data:image/jpg;base64,' + \ base64.b64encode(cv2.imencode('.jpg', image)[1].tobytes()).decode() retry_times = 1 while True: try: r = requests.post( self.endpoint, data=data, timeout=self.timeout, ) break except Exception as e: logger.warning(e) logger.debug(traceback.format_exc()) retry_times -= 1 if retry_times > 0: logger.warning('重试中……') else: logger.warning('无网络或网络故障，无法连接到 OCR Space') return [] try: return self._parse(r.json()) except Exception as e: logger.debug(e) return [] def predict(self, image, scope): ret = self.ocr_image(image[scope[0][1]:scope[2][1], scope[0][0]:scope[2][0]]) if len(ret) == 0: return None return fix(ret[0])

28.790123

86

0.504503

9c43e57c69a8dde6e1723760c856ba762bdba52f

138

py

Python

class2/e1c_test_my_func.py

ktbyers/pynet_wantonik

601bce26142b6741202c2bdafb9e0d0cec1b3c78

[ "Apache-2.0" ]

2

2017-05-11T12:05:15.000Z

2021-07-15T18:13:19.000Z

class2/e1c_test_my_func.py

ktbyers/pynet_wantonik

601bce26142b6741202c2bdafb9e0d0cec1b3c78

[ "Apache-2.0" ]

null

class2/e1c_test_my_func.py

ktbyers/pynet_wantonik

601bce26142b6741202c2bdafb9e0d0cec1b3c78

[ "Apache-2.0" ]

1

2017-05-11T12:05:18.000Z

#!/usr/bin/env python ## This script imports my_func function from e1c_my_func.py module import e1c_my_func print e1c_my_func.hello_func

23

66

0.818841

1c1b133b5ebe6d5e32e17d6537d02dfc87301d52

111,932

py

Python

src/sentry/south_migrations/0308_auto__add_versiondsymfile__add_unique_versiondsymfile_dsym_file_versio.py

uandco/sentry

5b8d45cb71c6617dac8e64265848623fbfce9c99

[ "BSD-3-Clause" ]

2

2019-03-04T12:45:54.000Z

2019-03-04T12:45:55.000Z

src/sentry/south_migrations/0308_auto__add_versiondsymfile__add_unique_versiondsymfile_dsym_file_versio.py

uandco/sentry

5b8d45cb71c6617dac8e64265848623fbfce9c99

[ "BSD-3-Clause" ]

196

2019-06-10T08:34:10.000Z

2022-02-22T01:26:13.000Z

src/sentry/south_migrations/0308_auto__add_versiondsymfile__add_unique_versiondsymfile_dsym_file_versio.py

uandco/sentry

5b8d45cb71c6617dac8e64265848623fbfce9c99

[ "BSD-3-Clause" ]

1

2017-02-09T06:36:57.000Z

# -*- coding: utf-8 -*- from south.utils import datetime_utils as datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'VersionDSymFile' db.create_table( 'sentry_versiondsymfile', ( ( 'id', self.gf('sentry.db.models.fields.bounded.BoundedBigAutoField')( primary_key=True ) ), ( 'dsym_file', self.gf('sentry.db.models.fields.foreignkey.FlexibleForeignKey')( to=orm['sentry.ProjectDSymFile'], null=True ) ), ( 'dsym_app', self.gf('sentry.db.models.fields.foreignkey.FlexibleForeignKey')( to=orm['sentry.DSymApp'] ) ), ('version', self.gf('django.db.models.fields.CharField')(max_length=32)), ('build', self.gf('django.db.models.fields.CharField')(max_length=32, null=True)), ( 'date_added', self.gf('django.db.models.fields.DateTimeField')() ), ) ) db.send_create_signal('sentry', ['VersionDSymFile']) # Adding unique constraint on 'VersionDSymFile', fields ['dsym_file', 'version', 'build'] db.create_unique('sentry_versiondsymfile', ['dsym_file_id', 'version', 'build']) # Adding model 'DSymApp' db.create_table( 'sentry_dsymapp', ( ( 'id', self.gf('sentry.db.models.fields.bounded.BoundedBigAutoField')( primary_key=True ) ), ( 'project', self.gf('sentry.db.models.fields.foreignkey.FlexibleForeignKey')( to=orm['sentry.Project'] ) ), ('app_id', self.gf('django.db.models.fields.CharField')(max_length=64)), ('sync_id', self.gf('django.db.models.fields.CharField')(max_length=64, null=True)), ('data', self.gf('sentry.db.models.fields.jsonfield.JSONField')(default={})), ( 'platform', self.gf('sentry.db.models.fields.bounded.BoundedPositiveIntegerField')( default=0 ) ), ( 'last_synced', self.gf('django.db.models.fields.DateTimeField')() ), ( 'date_added', self.gf('django.db.models.fields.DateTimeField')() ), ) ) db.send_create_signal('sentry', ['DSymApp']) # Adding unique constraint on 'DSymApp', fields ['project', 'platform', 'app_id'] db.create_unique('sentry_dsymapp', ['project_id', 'platform', 'app_id']) def backwards(self, orm): # Removing unique constraint on 'DSymApp', fields ['project', 'platform', 'app_id'] db.delete_unique('sentry_dsymapp', ['project_id', 'platform', 'app_id']) # Removing unique constraint on 'VersionDSymFile', fields ['dsym_file', 'version', 'build'] db.delete_unique('sentry_versiondsymfile', ['dsym_file_id', 'version', 'build']) # Deleting model 'VersionDSymFile' db.delete_table('sentry_versiondsymfile') # Deleting model 'DSymApp' db.delete_table('sentry_dsymapp') models = { 'sentry.activity': { 'Meta': { 'object_name': 'Activity' }, 'data': ('sentry.db.models.fields.gzippeddict.GzippedDictField', [], { 'null': 'True' }), 'datetime': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']", 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ident': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'type': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']", 'null': 'True' } ) }, 'sentry.apiapplication': { 'Meta': { 'object_name': 'ApiApplication' }, 'allowed_origins': ('django.db.models.fields.TextField', [], { 'null': 'True', 'blank': 'True' }), 'client_id': ( 'django.db.models.fields.CharField', [], { 'default': "'6949fb4996184c5abf84d6e2206deb2028847544b25745dcb59f9788f860cd4b'", 'unique': 'True', 'max_length': '64' } ), 'client_secret': ( 'sentry.db.models.fields.encrypted.EncryptedTextField', [], { 'default': "'120099c387964b1c826925621112bec1d8dbb441c0f24233b2487fa1350c03d7'" } ), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'homepage_url': ('django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ( 'django.db.models.fields.CharField', [], { 'default': "'Transitive Clemente'", 'max_length': '64', 'blank': 'True' } ), 'owner': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ), 'privacy_url': ('django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True' }), 'redirect_uris': ('django.db.models.fields.TextField', [], {}), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ), 'terms_url': ('django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True' }) }, 'sentry.apiauthorization': { 'Meta': { 'unique_together': "(('user', 'application'),)", 'object_name': 'ApiAuthorization' }, 'application': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.ApiApplication']", 'null': 'True' } ), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'scope_list': ( 'sentry.db.models.fields.array.ArrayField', [], { 'of': ('django.db.models.fields.TextField', [], {}) } ), 'scopes': ('django.db.models.fields.BigIntegerField', [], { 'default': 'None' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.apigrant': { 'Meta': { 'object_name': 'ApiGrant' }, 'application': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.ApiApplication']" } ), 'code': ( 'django.db.models.fields.CharField', [], { 'default': "'c52f5a5dc7dd41448dc017bd251144dc'", 'max_length': '64', 'db_index': 'True' } ), 'expires_at': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime(2017, 3, 23, 0, 0)', 'db_index': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'redirect_uri': ('django.db.models.fields.CharField', [], { 'max_length': '255' }), 'scope_list': ( 'sentry.db.models.fields.array.ArrayField', [], { 'of': ('django.db.models.fields.TextField', [], {}) } ), 'scopes': ('django.db.models.fields.BigIntegerField', [], { 'default': 'None' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.apikey': { 'Meta': { 'object_name': 'ApiKey' }, 'allowed_origins': ('django.db.models.fields.TextField', [], { 'null': 'True', 'blank': 'True' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '32' }), 'label': ( 'django.db.models.fields.CharField', [], { 'default': "'Default'", 'max_length': '64', 'blank': 'True' } ), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'key_set'", 'to': "orm['sentry.Organization']" } ), 'scope_list': ( 'sentry.db.models.fields.array.ArrayField', [], { 'of': ('django.db.models.fields.TextField', [], {}) } ), 'scopes': ('django.db.models.fields.BigIntegerField', [], { 'default': 'None' }), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ) }, 'sentry.apitoken': { 'Meta': { 'object_name': 'ApiToken' }, 'application': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.ApiApplication']", 'null': 'True' } ), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'expires_at': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime(2017, 4, 22, 0, 0)', 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'refresh_token': ( 'django.db.models.fields.CharField', [], { 'default': "'4f556f8dc184403fa0cd07e85a1a388204ca73f817294a0a9652081c86929bca'", 'max_length': '64', 'unique': 'True', 'null': 'True' } ), 'scope_list': ( 'sentry.db.models.fields.array.ArrayField', [], { 'of': ('django.db.models.fields.TextField', [], {}) } ), 'scopes': ('django.db.models.fields.BigIntegerField', [], { 'default': 'None' }), 'token': ( 'django.db.models.fields.CharField', [], { 'default': "'da4ff55914c148c1b652ef734ac727adc0fc7dc596a2445199009467c7d51337'", 'unique': 'True', 'max_length': '64' } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.auditlogentry': { 'Meta': { 'object_name': 'AuditLogEntry' }, 'actor': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'blank': 'True', 'related_name': "'audit_actors'", 'null': 'True', 'to': "orm['sentry.User']" } ), 'actor_key': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.ApiKey']", 'null': 'True', 'blank': 'True' } ), 'actor_label': ( 'django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True', 'blank': 'True' } ), 'data': ('sentry.db.models.fields.gzippeddict.GzippedDictField', [], {}), 'datetime': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'event': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ip_address': ( 'django.db.models.fields.GenericIPAddressField', [], { 'max_length': '39', 'null': 'True' } ), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'target_object': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }), 'target_user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'blank': 'True', 'related_name': "'audit_targets'", 'null': 'True', 'to': "orm['sentry.User']" } ) }, 'sentry.authenticator': { 'Meta': { 'unique_together': "(('user', 'type'),)", 'object_name': 'Authenticator', 'db_table': "'auth_authenticator'" }, 'config': ('sentry.db.models.fields.encrypted.EncryptedPickledObjectField', [], {}), 'created_at': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedAutoField', [], { 'primary_key': 'True' }), 'last_used_at': ('django.db.models.fields.DateTimeField', [], { 'null': 'True' }), 'type': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.authidentity': { 'Meta': { 'unique_together': "(('auth_provider', 'ident'), ('auth_provider', 'user'))", 'object_name': 'AuthIdentity' }, 'auth_provider': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.AuthProvider']" } ), 'data': ('sentry.db.models.fields.encrypted.EncryptedJsonField', [], { 'default': '{}' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ident': ('django.db.models.fields.CharField', [], { 'max_length': '128' }), 'last_synced': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'last_verified': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.authprovider': { 'Meta': { 'object_name': 'AuthProvider' }, 'config': ('sentry.db.models.fields.encrypted.EncryptedJsonField', [], { 'default': '{}' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'default_global_access': ('django.db.models.fields.BooleanField', [], { 'default': 'True' }), 'default_role': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '50' }), 'default_teams': ( 'django.db.models.fields.related.ManyToManyField', [], { 'to': "orm['sentry.Team']", 'symmetrical': 'False', 'blank': 'True' } ), 'flags': ('django.db.models.fields.BigIntegerField', [], { 'default': '0' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_sync': ('django.db.models.fields.DateTimeField', [], { 'null': 'True' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']", 'unique': 'True' } ), 'provider': ('django.db.models.fields.CharField', [], { 'max_length': '128' }), 'sync_time': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }) }, 'sentry.broadcast': { 'Meta': { 'object_name': 'Broadcast' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'date_expires': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime(2017, 3, 30, 0, 0)', 'null': 'True', 'blank': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'is_active': ('django.db.models.fields.BooleanField', [], { 'default': 'True', 'db_index': 'True' }), 'link': ( 'django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True', 'blank': 'True' } ), 'message': ('django.db.models.fields.CharField', [], { 'max_length': '256' }), 'title': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'upstream_id': ( 'django.db.models.fields.CharField', [], { 'max_length': '32', 'null': 'True', 'blank': 'True' } ) }, 'sentry.broadcastseen': { 'Meta': { 'unique_together': "(('broadcast', 'user'),)", 'object_name': 'BroadcastSeen' }, 'broadcast': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Broadcast']" } ), 'date_seen': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.commit': { 'Meta': { 'unique_together': "(('repository_id', 'key'),)", 'object_name': 'Commit', 'index_together': "(('repository_id', 'date_added'),)" }, 'author': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.CommitAuthor']", 'null': 'True' } ), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'message': ('django.db.models.fields.TextField', [], { 'null': 'True' }), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'repository_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}) }, 'sentry.commitauthor': { 'Meta': { 'unique_together': "(('organization_id', 'email'),)", 'object_name': 'CommitAuthor' }, 'email': ('django.db.models.fields.EmailField', [], { 'max_length': '75' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '128', 'null': 'True' }), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ) }, 'sentry.commitfilechange': { 'Meta': { 'unique_together': "(('commit', 'filename'),)", 'object_name': 'CommitFileChange' }, 'commit': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Commit']" } ), 'filename': ('django.db.models.fields.CharField', [], { 'max_length': '255' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'type': ('django.db.models.fields.CharField', [], { 'max_length': '1' }) }, 'sentry.counter': { 'Meta': { 'object_name': 'Counter', 'db_table': "'sentry_projectcounter'" }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'unique': 'True' } ), 'value': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}) }, 'sentry.deploy': { 'Meta': { 'object_name': 'Deploy' }, 'date_finished': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'date_started': ('django.db.models.fields.DateTimeField', [], { 'null': 'True', 'blank': 'True' }), 'environment_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ( 'django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True', 'blank': 'True' } ), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'release': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Release']" } ), 'url': ( 'django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True', 'blank': 'True' } ) }, 'sentry.dsymapp': { 'Meta': { 'unique_together': "(('project', 'platform', 'app_id'),)", 'object_name': 'DSymApp' }, 'app_id': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'data': ('sentry.db.models.fields.jsonfield.JSONField', [], { 'default': '{}' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_synced': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'platform': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'sync_id': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }) }, 'sentry.dsymbundle': { 'Meta': { 'object_name': 'DSymBundle' }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'object': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.DSymObject']" } ), 'sdk': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.DSymSDK']" } ) }, 'sentry.dsymobject': { 'Meta': { 'object_name': 'DSymObject' }, 'cpu_name': ('django.db.models.fields.CharField', [], { 'max_length': '40' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'object_path': ('django.db.models.fields.TextField', [], { 'db_index': 'True' }), 'uuid': ('django.db.models.fields.CharField', [], { 'max_length': '36', 'db_index': 'True' }), 'vmaddr': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True' }), 'vmsize': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True' }) }, 'sentry.dsymsdk': { 'Meta': { 'object_name': 'DSymSDK', 'index_together': "[('version_major', 'version_minor', 'version_patchlevel', 'version_build')]" }, 'dsym_type': ('django.db.models.fields.CharField', [], { 'max_length': '20', 'db_index': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'sdk_name': ('django.db.models.fields.CharField', [], { 'max_length': '20' }), 'version_build': ('django.db.models.fields.CharField', [], { 'max_length': '40' }), 'version_major': ('django.db.models.fields.IntegerField', [], {}), 'version_minor': ('django.db.models.fields.IntegerField', [], {}), 'version_patchlevel': ('django.db.models.fields.IntegerField', [], {}) }, 'sentry.dsymsymbol': { 'Meta': { 'unique_together': "[('object', 'address')]", 'object_name': 'DSymSymbol' }, 'address': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'db_index': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'object': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.DSymObject']" } ), 'symbol': ('django.db.models.fields.TextField', [], {}) }, 'sentry.environment': { 'Meta': { 'unique_together': "(('project_id', 'name'),)", 'object_name': 'Environment' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'organization_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'project_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }), 'projects': ( 'django.db.models.fields.related.ManyToManyField', [], { 'to': "orm['sentry.Project']", 'through': "orm['sentry.EnvironmentProject']", 'symmetrical': 'False' } ) }, 'sentry.environmentproject': { 'Meta': { 'unique_together': "(('project', 'environment'),)", 'object_name': 'EnvironmentProject' }, 'environment': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Environment']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ) }, 'sentry.event': { 'Meta': { 'unique_together': "(('project_id', 'event_id'),)", 'object_name': 'Event', 'db_table': "'sentry_message'", 'index_together': "(('group_id', 'datetime'),)" }, 'data': ('sentry.db.models.fields.node.NodeField', [], { 'null': 'True', 'blank': 'True' }), 'datetime': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'event_id': ( 'django.db.models.fields.CharField', [], { 'max_length': '32', 'null': 'True', 'db_column': "'message_id'" } ), 'group_id': ( 'sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True', 'blank': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'message': ('django.db.models.fields.TextField', [], {}), 'platform': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }), 'project_id': ( 'sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True', 'blank': 'True' } ), 'time_spent': ('sentry.db.models.fields.bounded.BoundedIntegerField', [], { 'null': 'True' }) }, 'sentry.eventmapping': { 'Meta': { 'unique_together': "(('project_id', 'event_id'),)", 'object_name': 'EventMapping' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'event_id': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'group_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}) }, 'sentry.eventprocessingissue': { 'Meta': { 'unique_together': "(('raw_event', 'processing_issue'),)", 'object_name': 'EventProcessingIssue' }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'processing_issue': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.ProcessingIssue']" } ), 'raw_event': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.RawEvent']" } ) }, 'sentry.eventtag': { 'Meta': { 'unique_together': "(('event_id', 'key_id', 'value_id'),)", 'object_name': 'EventTag', 'index_together': "(('project_id', 'key_id', 'value_id'), ('group_id', 'key_id', 'value_id'))" }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'event_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}), 'group_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}), 'project_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}), 'value_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}) }, 'sentry.eventuser': { 'Meta': { 'unique_together': "(('project', 'ident'), ('project', 'hash'))", 'object_name': 'EventUser', 'index_together': "(('project', 'email'), ('project', 'username'), ('project', 'ip_address'))" }, 'date_added': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'email': ('django.db.models.fields.EmailField', [], { 'max_length': '75', 'null': 'True' }), 'hash': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ident': ('django.db.models.fields.CharField', [], { 'max_length': '128', 'null': 'True' }), 'ip_address': ( 'django.db.models.fields.GenericIPAddressField', [], { 'max_length': '39', 'null': 'True' } ), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'username': ('django.db.models.fields.CharField', [], { 'max_length': '128', 'null': 'True' }) }, 'sentry.file': { 'Meta': { 'object_name': 'File' }, 'blob': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'legacy_blob'", 'null': 'True', 'to': "orm['sentry.FileBlob']" } ), 'blobs': ( 'django.db.models.fields.related.ManyToManyField', [], { 'to': "orm['sentry.FileBlob']", 'through': "orm['sentry.FileBlobIndex']", 'symmetrical': 'False' } ), 'checksum': ('django.db.models.fields.CharField', [], { 'max_length': '40', 'null': 'True' }), 'headers': ('sentry.db.models.fields.jsonfield.JSONField', [], { 'default': '{}' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '128' }), 'path': ('django.db.models.fields.TextField', [], { 'null': 'True' }), 'size': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }), 'timestamp': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'type': ('django.db.models.fields.CharField', [], { 'max_length': '64' }) }, 'sentry.fileblob': { 'Meta': { 'object_name': 'FileBlob' }, 'checksum': ('django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '40' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'path': ('django.db.models.fields.TextField', [], { 'null': 'True' }), 'size': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }), 'timestamp': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ) }, 'sentry.fileblobindex': { 'Meta': { 'unique_together': "(('file', 'blob', 'offset'),)", 'object_name': 'FileBlobIndex' }, 'blob': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.FileBlob']" } ), 'file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.File']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'offset': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}) }, 'sentry.globaldsymfile': { 'Meta': { 'object_name': 'GlobalDSymFile' }, 'cpu_name': ('django.db.models.fields.CharField', [], { 'max_length': '40' }), 'file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.File']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'object_name': ('django.db.models.fields.TextField', [], {}), 'uuid': ('django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '36' }) }, 'sentry.group': { 'Meta': { 'unique_together': "(('project', 'short_id'),)", 'object_name': 'Group', 'db_table': "'sentry_groupedmessage'", 'index_together': "(('project', 'first_release'),)" }, 'active_at': ('django.db.models.fields.DateTimeField', [], { 'null': 'True', 'db_index': 'True' }), 'culprit': ( 'django.db.models.fields.CharField', [], { 'max_length': '200', 'null': 'True', 'db_column': "'view'", 'blank': 'True' } ), 'data': ( 'sentry.db.models.fields.gzippeddict.GzippedDictField', [], { 'null': 'True', 'blank': 'True' } ), 'first_release': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Release']", 'null': 'True', 'on_delete': 'models.PROTECT' } ), 'first_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'is_public': ( 'django.db.models.fields.NullBooleanField', [], { 'default': 'False', 'null': 'True', 'blank': 'True' } ), 'last_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'level': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '40', 'db_index': 'True', 'blank': 'True' } ), 'logger': ( 'django.db.models.fields.CharField', [], { 'default': "''", 'max_length': '64', 'db_index': 'True', 'blank': 'True' } ), 'message': ('django.db.models.fields.TextField', [], {}), 'num_comments': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'null': 'True' } ), 'platform': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'null': 'True' } ), 'resolved_at': ('django.db.models.fields.DateTimeField', [], { 'null': 'True', 'db_index': 'True' }), 'score': ('sentry.db.models.fields.bounded.BoundedIntegerField', [], { 'default': '0' }), 'short_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True' }), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ), 'time_spent_count': ('sentry.db.models.fields.bounded.BoundedIntegerField', [], { 'default': '0' }), 'time_spent_total': ('sentry.db.models.fields.bounded.BoundedIntegerField', [], { 'default': '0' }), 'times_seen': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '1', 'db_index': 'True' } ) }, 'sentry.groupassignee': { 'Meta': { 'object_name': 'GroupAssignee', 'db_table': "'sentry_groupasignee'" }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'assignee_set'", 'unique': 'True', 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'assignee_set'", 'to': "orm['sentry.Project']" } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'sentry_assignee_set'", 'to': "orm['sentry.User']" } ) }, 'sentry.groupbookmark': { 'Meta': { 'unique_together': "(('project', 'user', 'group'),)", 'object_name': 'GroupBookmark' }, 'date_added': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True' } ), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'bookmark_set'", 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'bookmark_set'", 'to': "orm['sentry.Project']" } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'sentry_bookmark_set'", 'to': "orm['sentry.User']" } ) }, 'sentry.groupcommitresolution': { 'Meta': { 'unique_together': "(('group_id', 'commit_id'),)", 'object_name': 'GroupCommitResolution' }, 'commit_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'datetime': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'group_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }) }, 'sentry.groupemailthread': { 'Meta': { 'unique_together': "(('email', 'group'), ('email', 'msgid'))", 'object_name': 'GroupEmailThread' }, 'date': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'email': ('django.db.models.fields.EmailField', [], { 'max_length': '75' }), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'groupemail_set'", 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'msgid': ('django.db.models.fields.CharField', [], { 'max_length': '100' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'groupemail_set'", 'to': "orm['sentry.Project']" } ) }, 'sentry.grouphash': { 'Meta': { 'unique_together': "(('project', 'hash'),)", 'object_name': 'GroupHash' }, 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']", 'null': 'True' } ), 'hash': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'null': 'True' } ) }, 'sentry.groupmeta': { 'Meta': { 'unique_together': "(('group', 'key'),)", 'object_name': 'GroupMeta' }, 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'value': ('django.db.models.fields.TextField', [], {}) }, 'sentry.groupredirect': { 'Meta': { 'object_name': 'GroupRedirect' }, 'group_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'db_index': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'previous_group_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'unique': 'True' }) }, 'sentry.grouprelease': { 'Meta': { 'unique_together': "(('group_id', 'release_id', 'environment'),)", 'object_name': 'GroupRelease' }, 'environment': ('django.db.models.fields.CharField', [], { 'default': "''", 'max_length': '64' }), 'first_seen': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'group_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'project_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'release_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ) }, 'sentry.groupresolution': { 'Meta': { 'object_name': 'GroupResolution' }, 'datetime': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']", 'unique': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'release': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Release']" } ), 'status': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }) }, 'sentry.grouprulestatus': { 'Meta': { 'unique_together': "(('rule', 'group'),)", 'object_name': 'GroupRuleStatus' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_active': ('django.db.models.fields.DateTimeField', [], { 'null': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'rule': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Rule']" } ), 'status': ('django.db.models.fields.PositiveSmallIntegerField', [], { 'default': '0' }) }, 'sentry.groupseen': { 'Meta': { 'unique_together': "(('user', 'group'),)", 'object_name': 'GroupSeen' }, 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_seen': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']", 'db_index': 'False' } ) }, 'sentry.groupsnooze': { 'Meta': { 'object_name': 'GroupSnooze' }, 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']", 'unique': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'until': ('django.db.models.fields.DateTimeField', [], {}) }, 'sentry.groupsubscription': { 'Meta': { 'unique_together': "(('group', 'user'),)", 'object_name': 'GroupSubscription' }, 'date_added': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True' } ), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'subscription_set'", 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'is_active': ('django.db.models.fields.BooleanField', [], { 'default': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'subscription_set'", 'to': "orm['sentry.Project']" } ), 'reason': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.grouptagkey': { 'Meta': { 'unique_together': "(('project', 'group', 'key'),)", 'object_name': 'GroupTagKey' }, 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'null': 'True' } ), 'values_seen': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }) }, 'sentry.grouptagvalue': { 'Meta': { 'unique_together': "(('group', 'key', 'value'),)", 'object_name': 'GroupTagValue', 'db_table': "'sentry_messagefiltervalue'", 'index_together': "(('project', 'key', 'value', 'last_seen'),)" }, 'first_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True', 'db_index': 'True' } ), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'grouptag'", 'to': "orm['sentry.Group']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'last_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True', 'db_index': 'True' } ), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'grouptag'", 'null': 'True', 'to': "orm['sentry.Project']" } ), 'times_seen': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }), 'value': ('django.db.models.fields.CharField', [], { 'max_length': '200' }) }, 'sentry.lostpasswordhash': { 'Meta': { 'object_name': 'LostPasswordHash' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'hash': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']", 'unique': 'True' } ) }, 'sentry.option': { 'Meta': { 'object_name': 'Option' }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '64' }), 'last_updated': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'value': ('sentry.db.models.fields.encrypted.EncryptedPickledObjectField', [], {}) }, 'sentry.organization': { 'Meta': { 'object_name': 'Organization' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'default_role': ('django.db.models.fields.CharField', [], { 'default': "'member'", 'max_length': '32' }), 'flags': ('django.db.models.fields.BigIntegerField', [], { 'default': '1' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'members': ( 'django.db.models.fields.related.ManyToManyField', [], { 'related_name': "'org_memberships'", 'symmetrical': 'False', 'through': "orm['sentry.OrganizationMember']", 'to': "orm['sentry.User']" } ), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'slug': ('django.db.models.fields.SlugField', [], { 'unique': 'True', 'max_length': '50' }), 'status': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }) }, 'sentry.organizationaccessrequest': { 'Meta': { 'unique_together': "(('team', 'member'),)", 'object_name': 'OrganizationAccessRequest' }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'member': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.OrganizationMember']" } ), 'team': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Team']" } ) }, 'sentry.organizationavatar': { 'Meta': { 'object_name': 'OrganizationAvatar' }, 'avatar_type': ('django.db.models.fields.PositiveSmallIntegerField', [], { 'default': '0' }), 'file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.File']", 'unique': 'True', 'null': 'True', 'on_delete': 'models.SET_NULL' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ident': ( 'django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '32', 'db_index': 'True' } ), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'avatar'", 'unique': 'True', 'to': "orm['sentry.Organization']" } ) }, 'sentry.organizationmember': { 'Meta': { 'unique_together': "(('organization', 'user'), ('organization', 'email'))", 'object_name': 'OrganizationMember' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'email': ( 'django.db.models.fields.EmailField', [], { 'max_length': '75', 'null': 'True', 'blank': 'True' } ), 'flags': ('django.db.models.fields.BigIntegerField', [], { 'default': '0' }), 'has_global_access': ('django.db.models.fields.BooleanField', [], { 'default': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'member_set'", 'to': "orm['sentry.Organization']" } ), 'role': ('django.db.models.fields.CharField', [], { 'default': "'member'", 'max_length': '32' }), 'teams': ( 'django.db.models.fields.related.ManyToManyField', [], { 'to': "orm['sentry.Team']", 'symmetrical': 'False', 'through': "orm['sentry.OrganizationMemberTeam']", 'blank': 'True' } ), 'token': ( 'django.db.models.fields.CharField', [], { 'max_length': '64', 'unique': 'True', 'null': 'True', 'blank': 'True' } ), 'type': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '50', 'blank': 'True' } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'blank': 'True', 'related_name': "'sentry_orgmember_set'", 'null': 'True', 'to': "orm['sentry.User']" } ) }, 'sentry.organizationmemberteam': { 'Meta': { 'unique_together': "(('team', 'organizationmember'),)", 'object_name': 'OrganizationMemberTeam', 'db_table': "'sentry_organizationmember_teams'" }, 'id': ('sentry.db.models.fields.bounded.BoundedAutoField', [], { 'primary_key': 'True' }), 'is_active': ('django.db.models.fields.BooleanField', [], { 'default': 'True' }), 'organizationmember': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.OrganizationMember']" } ), 'team': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Team']" } ) }, 'sentry.organizationonboardingtask': { 'Meta': { 'unique_together': "(('organization', 'task'),)", 'object_name': 'OrganizationOnboardingTask' }, 'data': ('sentry.db.models.fields.jsonfield.JSONField', [], { 'default': '{}' }), 'date_completed': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'project_id': ( 'sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True', 'blank': 'True' } ), 'status': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'task': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']", 'null': 'True' } ) }, 'sentry.organizationoption': { 'Meta': { 'unique_together': "(('organization', 'key'),)", 'object_name': 'OrganizationOption', 'db_table': "'sentry_organizationoptions'" }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'value': ('sentry.db.models.fields.encrypted.EncryptedPickledObjectField', [], {}) }, 'sentry.processingissue': { 'Meta': { 'unique_together': "(('project', 'checksum', 'type'),)", 'object_name': 'ProcessingIssue' }, 'checksum': ('django.db.models.fields.CharField', [], { 'max_length': '40', 'db_index': 'True' }), 'data': ('sentry.db.models.fields.gzippeddict.GzippedDictField', [], {}), 'datetime': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'type': ('django.db.models.fields.CharField', [], { 'max_length': '30' }) }, 'sentry.project': { 'Meta': { 'unique_together': "(('team', 'slug'), ('organization', 'slug'))", 'object_name': 'Project' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'first_event': ('django.db.models.fields.DateTimeField', [], { 'null': 'True' }), 'flags': ('django.db.models.fields.BigIntegerField', [], { 'default': '0', 'null': 'True' }), 'forced_color': ( 'django.db.models.fields.CharField', [], { 'max_length': '6', 'null': 'True', 'blank': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '200' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'public': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'slug': ('django.db.models.fields.SlugField', [], { 'max_length': '50', 'null': 'True' }), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ), 'team': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Team']" } ) }, 'sentry.projectbookmark': { 'Meta': { 'unique_together': "(('project_id', 'user'),)", 'object_name': 'ProjectBookmark' }, 'date_added': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project_id': ( 'sentry.db.models.fields.bounded.BoundedBigIntegerField', [], { 'null': 'True', 'blank': 'True' } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.projectdsymfile': { 'Meta': { 'unique_together': "(('project', 'uuid'),)", 'object_name': 'ProjectDSymFile' }, 'cpu_name': ('django.db.models.fields.CharField', [], { 'max_length': '40' }), 'file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.File']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'object_name': ('django.db.models.fields.TextField', [], {}), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'null': 'True' } ), 'uuid': ('django.db.models.fields.CharField', [], { 'max_length': '36' }) }, 'sentry.projectkey': { 'Meta': { 'object_name': 'ProjectKey' }, 'date_added': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'label': ( 'django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True', 'blank': 'True' } ), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'key_set'", 'to': "orm['sentry.Project']" } ), 'public_key': ( 'django.db.models.fields.CharField', [], { 'max_length': '32', 'unique': 'True', 'null': 'True' } ), 'roles': ('django.db.models.fields.BigIntegerField', [], { 'default': '1' }), 'secret_key': ( 'django.db.models.fields.CharField', [], { 'max_length': '32', 'unique': 'True', 'null': 'True' } ), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ) }, 'sentry.projectoption': { 'Meta': { 'unique_together': "(('project', 'key'),)", 'object_name': 'ProjectOption', 'db_table': "'sentry_projectoptions'" }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'value': ('sentry.db.models.fields.encrypted.EncryptedPickledObjectField', [], {}) }, 'sentry.projectplatform': { 'Meta': { 'unique_together': "(('project_id', 'platform'),)", 'object_name': 'ProjectPlatform' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_seen': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'platform': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'project_id': ('sentry.db.models.fields.bounded.BoundedBigIntegerField', [], {}) }, 'sentry.rawevent': { 'Meta': { 'unique_together': "(('project', 'event_id'),)", 'object_name': 'RawEvent' }, 'data': ('sentry.db.models.fields.node.NodeField', [], { 'null': 'True', 'blank': 'True' }), 'datetime': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'event_id': ('django.db.models.fields.CharField', [], { 'max_length': '32', 'null': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ) }, 'sentry.release': { 'Meta': { 'unique_together': "(('organization', 'version'),)", 'object_name': 'Release' }, 'data': ('sentry.db.models.fields.jsonfield.JSONField', [], { 'default': '{}' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'date_released': ('django.db.models.fields.DateTimeField', [], { 'null': 'True', 'blank': 'True' }), 'date_started': ('django.db.models.fields.DateTimeField', [], { 'null': 'True', 'blank': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'new_groups': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'owner': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']", 'null': 'True', 'blank': 'True' } ), 'project_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }), 'projects': ( 'django.db.models.fields.related.ManyToManyField', [], { 'related_name': "'releases'", 'symmetrical': 'False', 'through': "orm['sentry.ReleaseProject']", 'to': "orm['sentry.Project']" } ), 'ref': ( 'django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True', 'blank': 'True' } ), 'url': ( 'django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True', 'blank': 'True' } ), 'version': ('django.db.models.fields.CharField', [], { 'max_length': '64' }) }, 'sentry.releasecommit': { 'Meta': { 'unique_together': "(('release', 'commit'), ('release', 'order'))", 'object_name': 'ReleaseCommit' }, 'commit': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Commit']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'order': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], {}), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'project_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True', 'db_index': 'True' } ), 'release': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Release']" } ) }, 'sentry.releaseenvironment': { 'Meta': { 'unique_together': "(('project_id', 'release_id', 'environment_id'),)", 'object_name': 'ReleaseEnvironment', 'db_table': "'sentry_environmentrelease'" }, 'environment_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'first_seen': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'last_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'db_index': 'True' } ), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'project_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True', 'db_index': 'True' } ), 'release_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ) }, 'sentry.releasefile': { 'Meta': { 'unique_together': "(('release', 'ident'),)", 'object_name': 'ReleaseFile' }, 'file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.File']" } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ident': ('django.db.models.fields.CharField', [], { 'max_length': '40' }), 'name': ('django.db.models.fields.TextField', [], {}), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'project_id': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'null': 'True' }), 'release': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Release']" } ) }, 'sentry.releaseproject': { 'Meta': { 'unique_together': "(('project', 'release'),)", 'object_name': 'ReleaseProject', 'db_table': "'sentry_release_project'" }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'new_groups': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'null': 'True' } ), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'release': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Release']" } ) }, 'sentry.repository': { 'Meta': { 'unique_together': "(('organization_id', 'name'), ('organization_id', 'provider', 'external_id'))", 'object_name': 'Repository' }, 'config': ('sentry.db.models.fields.jsonfield.JSONField', [], { 'default': '{}' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'external_id': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '200' }), 'organization_id': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'db_index': 'True' } ), 'provider': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ), 'url': ('django.db.models.fields.URLField', [], { 'max_length': '200', 'null': 'True' }) }, 'sentry.reprocessingreport': { 'Meta': { 'unique_together': "(('project', 'event_id'),)", 'object_name': 'ReprocessingReport' }, 'datetime': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'event_id': ('django.db.models.fields.CharField', [], { 'max_length': '32', 'null': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ) }, 'sentry.rule': { 'Meta': { 'object_name': 'Rule' }, 'data': ('sentry.db.models.fields.gzippeddict.GzippedDictField', [], {}), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'label': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'status': ( 'sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0', 'db_index': 'True' } ) }, 'sentry.savedsearch': { 'Meta': { 'unique_together': "(('project', 'name'),)", 'object_name': 'SavedSearch' }, 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'is_default': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '128' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'query': ('django.db.models.fields.TextField', [], {}) }, 'sentry.savedsearchuserdefault': { 'Meta': { 'unique_together': "(('project', 'user'),)", 'object_name': 'SavedSearchUserDefault', 'db_table': "'sentry_savedsearch_userdefault'" }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'savedsearch': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.SavedSearch']" } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ) }, 'sentry.tagkey': { 'Meta': { 'unique_together': "(('project', 'key'),)", 'object_name': 'TagKey', 'db_table': "'sentry_filterkey'" }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'label': ('django.db.models.fields.CharField', [], { 'max_length': '64', 'null': 'True' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ), 'status': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }), 'values_seen': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }) }, 'sentry.tagvalue': { 'Meta': { 'unique_together': "(('project', 'key', 'value'),)", 'object_name': 'TagValue', 'db_table': "'sentry_filtervalue'" }, 'data': ( 'sentry.db.models.fields.gzippeddict.GzippedDictField', [], { 'null': 'True', 'blank': 'True' } ), 'first_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True', 'db_index': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'last_seen': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True', 'db_index': 'True' } ), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'null': 'True' } ), 'times_seen': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }), 'value': ('django.db.models.fields.CharField', [], { 'max_length': '200' }) }, 'sentry.team': { 'Meta': { 'unique_together': "(('organization', 'slug'),)", 'object_name': 'Team' }, 'date_added': ( 'django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now', 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'organization': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Organization']" } ), 'slug': ('django.db.models.fields.SlugField', [], { 'max_length': '50' }), 'status': ('sentry.db.models.fields.bounded.BoundedPositiveIntegerField', [], { 'default': '0' }) }, 'sentry.user': { 'Meta': { 'object_name': 'User', 'db_table': "'auth_user'" }, 'date_joined': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'email': ('django.db.models.fields.EmailField', [], { 'max_length': '75', 'blank': 'True' }), 'id': ('sentry.db.models.fields.bounded.BoundedAutoField', [], { 'primary_key': 'True' }), 'is_active': ('django.db.models.fields.BooleanField', [], { 'default': 'True' }), 'is_managed': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'is_password_expired': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'is_staff': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'is_superuser': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'last_login': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'last_password_change': ('django.db.models.fields.DateTimeField', [], { 'null': 'True' }), 'name': ( 'django.db.models.fields.CharField', [], { 'max_length': '200', 'db_column': "'first_name'", 'blank': 'True' } ), 'password': ('django.db.models.fields.CharField', [], { 'max_length': '128' }), 'session_nonce': ('django.db.models.fields.CharField', [], { 'max_length': '12', 'null': 'True' }), 'username': ('django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '128' }) }, 'sentry.useravatar': { 'Meta': { 'object_name': 'UserAvatar' }, 'avatar_type': ('django.db.models.fields.PositiveSmallIntegerField', [], { 'default': '0' }), 'file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.File']", 'unique': 'True', 'null': 'True', 'on_delete': 'models.SET_NULL' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'ident': ( 'django.db.models.fields.CharField', [], { 'unique': 'True', 'max_length': '32', 'db_index': 'True' } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'avatar'", 'unique': 'True', 'to': "orm['sentry.User']" } ) }, 'sentry.useremail': { 'Meta': { 'unique_together': "(('user', 'email'),)", 'object_name': 'UserEmail' }, 'date_hash_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'email': ('django.db.models.fields.EmailField', [], { 'max_length': '75' }), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'is_verified': ('django.db.models.fields.BooleanField', [], { 'default': 'False' }), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'related_name': "'emails'", 'to': "orm['sentry.User']" } ), 'validation_hash': ( 'django.db.models.fields.CharField', [], { 'default': "u'MJgpqztt1JFwT0a7mqP7bJys66oGvuWt'", 'max_length': '32' } ) }, 'sentry.useroption': { 'Meta': { 'unique_together': "(('user', 'project', 'key'),)", 'object_name': 'UserOption' }, 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'key': ('django.db.models.fields.CharField', [], { 'max_length': '64' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']", 'null': 'True' } ), 'user': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.User']" } ), 'value': ('sentry.db.models.fields.encrypted.EncryptedPickledObjectField', [], {}) }, 'sentry.userreport': { 'Meta': { 'unique_together': "(('project', 'event_id'),)", 'object_name': 'UserReport', 'index_together': "(('project', 'event_id'), ('project', 'date_added'))" }, 'comments': ('django.db.models.fields.TextField', [], {}), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'email': ('django.db.models.fields.EmailField', [], { 'max_length': '75' }), 'event_id': ('django.db.models.fields.CharField', [], { 'max_length': '32' }), 'group': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Group']", 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'name': ('django.db.models.fields.CharField', [], { 'max_length': '128' }), 'project': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.Project']" } ) }, 'sentry.versiondsymfile': { 'Meta': { 'unique_together': "(('dsym_file', 'version', 'build'),)", 'object_name': 'VersionDSymFile' }, 'build': ('django.db.models.fields.CharField', [], { 'max_length': '32', 'null': 'True' }), 'date_added': ('django.db.models.fields.DateTimeField', [], { 'default': 'datetime.datetime.now' }), 'dsym_app': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.DSymApp']" } ), 'dsym_file': ( 'sentry.db.models.fields.foreignkey.FlexibleForeignKey', [], { 'to': "orm['sentry.ProjectDSymFile']", 'null': 'True' } ), 'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], { 'primary_key': 'True' }), 'version': ('django.db.models.fields.CharField', [], { 'max_length': '32' }) } } complete_apps = ['sentry']

37.01455

100

0.405496

720fd9ee5cae6400f85316ea774854b4d0d8884b

436

py

Python

Backend/events/models.py

afrlv1/TestWorkEvents

d023ce3ecadcead99134e5be536c7610d2b05970

[ "MIT" ]

null

Backend/events/models.py

afrlv1/TestWorkEvents

d023ce3ecadcead99134e5be536c7610d2b05970

[ "MIT" ]

null

Backend/events/models.py

afrlv1/TestWorkEvents

d023ce3ecadcead99134e5be536c7610d2b05970

[ "MIT" ]

null

from django.db import models class Event(models.Model): day_event = models.DateField(u'Day of the event', help_text=u'Day of the event') title = models.CharField(u'Title', max_length=255, help_text=u'Title', blank=True, null=True) body = models.TextField(u'Textual Event', help_text=u'Textual Event', blank=True, null=True) class Meta: verbose_name = u'Scheduling' verbose_name_plural = u'Scheduling'

36.333333

97

0.711009

92759cd2bf8ac797b3fa4f368027c9f7ffaaac48

1,634

py

Python

tests/src/SI/MAP/click_on_anydistrict_and_download_csv.py

sreenivas8084/cQube

3352a13f41679d707979e287d1880f0723b27510

[ "MIT" ]

null

tests/src/SI/MAP/click_on_anydistrict_and_download_csv.py

sreenivas8084/cQube

3352a13f41679d707979e287d1880f0723b27510

[ "MIT" ]

2

2022-02-01T00:55:12.000Z

2022-03-29T22:29:09.000Z

tests/src/SI/MAP/click_on_anydistrict_and_download_csv.py

SreenivasNimmagadda/cQube

3352a13f41679d707979e287d1880f0723b27510

[ "MIT" ]

null

import csv import os import re import time from Data.parameters import Data from filenames import file_extention from get_dir import pwd from reuse_func import GetData class download_icon(): def __init__(self,driver): self.driver = driver def test_donwload(self): self.p =GetData() cal = pwd() count = 0 self.fname = file_extention() self.driver.find_element_by_xpath(Data.hyper_link).click() self.p.page_loading(self.driver) self.driver.find_element_by_id(Data.home).click() time.sleep(2) self.p.navigate_to_school_infrastructure_map() self.p.page_loading(self.driver) self.driver.find_element_by_id(Data.Download).click() time.sleep(3) self.filename = cal.get_download_dir() + '/' + self.fname.scmap_district()+self.p.get_current_date()+'.csv' self.p.page_loading(self.driver) if not os.path.isfile(self.filename): print("Districtwise csv is not downloaded") count = count + 1 else: with open(self.filename) as fin: csv_reader = csv.reader(fin, delimiter=',') header = next(csv_reader) schools = 0 for row in csv.reader(fin): schools += int(row[0]) school = self.driver.find_element_by_id("schools").text sc = re.sub('\D', "", school) if int(sc) != int(schools): print("school count mismatched") count = count + 1 os.remove(self.filename) return count

32.039216

115

0.589351

538d5202942d2613aada1adbaf6f6ebe94a23521

197,163

py

Python

python/mxnet/ndarray/numpy/_op.py

guanxinq/incubator-mxnet

634f95e2431ec107f0e5182a60db27e3a7dd9545

[ "Apache-2.0" ]

null

python/mxnet/ndarray/numpy/_op.py

guanxinq/incubator-mxnet

634f95e2431ec107f0e5182a60db27e3a7dd9545

[ "Apache-2.0" ]

null

python/mxnet/ndarray/numpy/_op.py

guanxinq/incubator-mxnet

634f95e2431ec107f0e5182a60db27e3a7dd9545

[ "Apache-2.0" ]

1

2019-02-26T19:25:11.000Z

# pylint: disable=C0302 # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # pylint: disable=unused-argument """Namespace for numpy operators used in Gluon dispatched by F=ndarray.""" from __future__ import absolute_import import numpy as _np from ...base import numeric_types, integer_types from ...util import _sanity_check_params, set_module from ...util import wrap_np_unary_func, wrap_np_binary_func from ...context import current_context from . import _internal as _npi from ..ndarray import NDArray __all__ = ['shape', 'zeros', 'zeros_like', 'ones', 'ones_like', 'full', 'full_like', 'add', 'subtract', 'multiply', 'divide', 'mod', 'remainder', 'power', 'arctan2', 'sin', 'cos', 'tan', 'sinh', 'cosh', 'tanh', 'log10', 'sqrt', 'cbrt', 'abs', 'absolute', 'exp', 'expm1', 'arcsin', 'arccos', 'arctan', 'sign', 'log', 'degrees', 'log2', 'log1p', 'rint', 'radians', 'reciprocal', 'square', 'negative', 'fix', 'ceil', 'floor', 'trunc', 'logical_not', 'arcsinh', 'arccosh', 'arctanh', 'argsort', 'tensordot', 'histogram', 'eye', 'linspace', 'logspace', 'expand_dims', 'tile', 'arange', 'split', 'vsplit', 'concatenate', 'append', 'stack', 'vstack', 'column_stack', 'dstack', 'average', 'mean', 'maximum', 'minimum', 'swapaxes', 'clip', 'argmax', 'argmin', 'std', 'var', 'indices', 'copysign', 'ravel', 'unravel_index', 'hanning', 'hamming', 'blackman', 'flip', 'around', 'hypot', 'bitwise_xor', 'bitwise_or', 'rad2deg', 'deg2rad', 'unique', 'lcm', 'tril', 'identity', 'take', 'ldexp', 'vdot', 'inner', 'outer', 'equal', 'not_equal', 'greater', 'less', 'greater_equal', 'less_equal', 'hsplit', 'rot90', 'einsum', 'true_divide', 'nonzero', 'shares_memory', 'may_share_memory', 'diff', 'resize', 'nan_to_num', 'where'] @set_module('mxnet.ndarray.numpy') def shape(a): """ Return the shape of an array. Parameters ---------- a : array_like Input array. Returns ------- shape : tuple of ints The elements of the shape tuple give the lengths of the corresponding array dimensions. See Also -------- ndarray.shape : Equivalent array method. Examples -------- >>> np.shape(np.eye(3)) (3, 3) >>> np.shape([[1, 2]]) (1, 2) >>> np.shape([0]) (1,) >>> np.shape(0) () """ return a.shape @set_module('mxnet.ndarray.numpy') def zeros(shape, dtype=_np.float32, order='C', ctx=None): # pylint: disable=redefined-outer-name """Return a new array of given shape and type, filled with zeros. This function currently only supports storing multi-dimensional data in row-major (C-style). Parameters ---------- shape : int or tuple of int The shape of the empty array. dtype : str or numpy.dtype, optional An optional value type. Default is `numpy.float32`. Note that this behavior is different from NumPy's `zeros` function where `float64` is the default value, because `float32` is considered as the default data type in deep learning. order : {'C'}, optional, default: 'C' How to store multi-dimensional data in memory, currently only row-major (C-style) is supported. ctx : Context, optional An optional device context (default is the current default context). Returns ------- out : ndarray Array of zeros with the given shape, dtype, and ctx. """ if order != 'C': raise NotImplementedError if ctx is None: ctx = current_context() dtype = _np.float32 if dtype is None else dtype return _npi.zeros(shape=shape, ctx=ctx, dtype=dtype) @set_module('mxnet.ndarray.numpy') def ones(shape, dtype=_np.float32, order='C', ctx=None): # pylint: disable=redefined-outer-name """Return a new array of given shape and type, filled with ones. This function currently only supports storing multi-dimensional data in row-major (C-style). Parameters ---------- shape : int or tuple of int The shape of the empty array. dtype : str or numpy.dtype, optional An optional value type. Default is `numpy.float32`. Note that this behavior is different from NumPy's `ones` function where `float64` is the default value, because `float32` is considered as the default data type in deep learning. order : {'C'}, optional, default: 'C' How to store multi-dimensional data in memory, currently only row-major (C-style) is supported. ctx : Context, optional An optional device context (default is the current default context). Returns ------- out : ndarray Array of ones with the given shape, dtype, and ctx. """ if order != 'C': raise NotImplementedError if ctx is None: ctx = current_context() dtype = _np.float32 if dtype is None else dtype return _npi.ones(shape=shape, ctx=ctx, dtype=dtype) # pylint: disable=too-many-arguments, redefined-outer-name @set_module('mxnet.ndarray.numpy') def zeros_like(a, dtype=None, order='C', ctx=None, out=None): """ Return an array of zeros with the same shape and type as a given array. Parameters ---------- a : ndarray The shape and data-type of `a` define these same attributes of the returned array. dtype : data-type, optional Overrides the data type of the result. Temporarily do not support boolean type. order : {'C'}, optional Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory. Currently only supports C order. ctx: to specify the device, e.g. the i-th GPU. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray Array of zeros with the same shape and type as a. See Also -------- empty_like : Return an empty array with shape and type of input. ones_like : Return an array of ones with shape and type of input. zeros_like : Return an array of zeros with shape and type of input. full : Return a new array of given shape filled with value. Examples -------- >>> x = np.arange(6) >>> x = x.reshape((2, 3)) >>> x array([[0., 1., 2.], [3., 4., 5.]]) >>> np.zeros_like(x) array([[0., 0., 0.], [0., 0., 0.]]) >>> np.zeros_like(x, int) array([[0, 0, 0], [0, 0, 0]], dtype=int64) >>> y = np.arange(3, dtype=float) >>> y array([0., 1., 2.], dtype=float64) >>> np.zeros_like(y) array([0., 0., 0.], dtype=float64) """ return _npi.full_like(a, fill_value=0, dtype=dtype, ctx=None, out=None) @set_module('mxnet.ndarray.numpy') def ones_like(a, dtype=None, order='C', ctx=None, out=None): """ Return an array of ones with the same shape and type as a given array. Parameters ---------- a : ndarray The shape and data-type of `a` define these same attributes of the returned array. dtype : data-type, optional Overrides the data type of the result. Temporarily do not support boolean type. order : {'C'}, optional Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory. Currently only supports C order. ctx: to specify the device, e.g. the i-th GPU. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray Array of ones with the same shape and type as a. See Also -------- empty_like : Return an empty array with shape and type of input. zeros_like : Return an array of zeros with shape and type of input. full_like : Return a new array with shape of input filled with value. ones : Return a new array setting values to one. Examples -------- >>> x = np.arange(6) >>> x = x.reshape((2, 3)) >>> x array([[0., 1., 2.], [3., 4., 5.]]) >>> np.ones_like(x) array([[1., 1., 1.], [1., 1., 1.]]) >>> np.ones_like(x, int) array([[1, 1, 1], [1, 1, 1]], dtype=int64) >>> y = np.arange(3, dtype=float) >>> y array([0., 1., 2.], dtype=float64) >>> np.ones_like(y) array([1., 1., 1.], dtype=float64) """ return _npi.full_like(a, fill_value=1, dtype=dtype, ctx=None, out=None) @set_module('mxnet.ndarray.numpy') def full(shape, fill_value, dtype=None, order='C', ctx=None, out=None): # pylint: disable=too-many-arguments """ Return a new array of given shape and type, filled with `fill_value`. Parameters ---------- shape : int or sequence of ints Shape of the new array, e.g., ``(2, 3)`` or ``2``. fill_value : scalar Fill value. dtype : data-type, optional The desired data-type for the array. The default, `None`, means `np.array(fill_value).dtype`. order : {'C'}, optional Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory. Currently only supports C order. ctx: to specify the device, e.g. the i-th GPU. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray Array of `fill_value` with the given shape, dtype, and order. Notes ----- This function differs from the original `numpy.full https://docs.scipy.org/doc/numpy/reference/generated/numpy.full.html`_ in the following way(s): - Have an additional `ctx` argument to specify the device - Have an additional `out` argument - Currently does not support `order` selection See Also -------- empty : Return a new uninitialized array. ones : Return a new array setting values to one. zeros : Return a new array setting values to zero. Examples -------- >>> np.full((2, 2), 10) array([[10., 10.], [10., 10.]]) >>> np.full((2, 2), 2, dtype=np.int32, ctx=mx.cpu(0)) array([[2, 2], [2, 2]], dtype=int32) """ if order != 'C': raise NotImplementedError if ctx is None: ctx = current_context() dtype = _np.float32 if dtype is None else dtype return _npi.full(shape=shape, value=fill_value, ctx=ctx, dtype=dtype, out=out) # pylint: enable=too-many-arguments, redefined-outer-name @set_module('mxnet.ndarray.numpy') def full_like(a, fill_value, dtype=None, order='C', ctx=None, out=None): # pylint: disable=too-many-arguments """ Return a full array with the same shape and type as a given array. Parameters ---------- a : ndarray The shape and data-type of `a` define these same attributes of the returned array. fill_value : scalar Fill value. dtype : data-type, optional Overrides the data type of the result. Temporarily do not support boolean type. order : {'C'}, optional Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory. Currently only supports C order. ctx: to specify the device, e.g. the i-th GPU. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray Array of `fill_value` with the same shape and type as `a`. See Also -------- empty_like : Return an empty array with shape and type of input. ones_like : Return an array of ones with shape and type of input. zeros_like : Return an array of zeros with shape and type of input. full : Return a new array of given shape filled with value. Examples -------- >>> x = np.arange(6, dtype=int) >>> np.full_like(x, 1) array([1, 1, 1, 1, 1, 1], dtype=int64) >>> np.full_like(x, 0.1) array([0, 0, 0, 0, 0, 0], dtype=int64) >>> np.full_like(x, 0.1, dtype=np.float64) array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1], dtype=float64) >>> np.full_like(x, np.nan, dtype=np.double) array([nan, nan, nan, nan, nan, nan], dtype=float64) >>> y = np.arange(6, dtype=np.float32) >>> np.full_like(y, 0.1) array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1]) """ if order != 'C': raise NotImplementedError if ctx is None: ctx = current_context() return _npi.full_like(a, fill_value=fill_value, dtype=dtype, ctx=ctx, out=out) @set_module('mxnet.ndarray.numpy') def arange(start, stop=None, step=1, dtype=None, ctx=None): """Return evenly spaced values within a given interval. Values are generated within the half-open interval ``[start, stop)`` (in other words, the interval including `start` but excluding `stop`). For integer arguments the function is equivalent to the Python built-in `range` function, but returns an ndarray rather than a list. Parameters ---------- start : number, optional Start of interval. The interval includes this value. The default start value is 0. stop : number End of interval. The interval does not include this value, except in some cases where `step` is not an integer and floating point round-off affects the length of `out`. step : number, optional Spacing between values. For any output `out`, this is the distance between two adjacent values, ``out[i+1] - out[i]``. The default step size is 1. If `step` is specified as a position argument, `start` must also be given. dtype : dtype The type of the output array. The default is `float32`. Returns ------- arange : ndarray Array of evenly spaced values. For floating point arguments, the length of the result is ``ceil((stop - start)/step)``. Because of floating point overflow, this rule may result in the last element of `out` being greater than `stop`. """ if dtype is None: dtype = 'float32' if ctx is None: ctx = current_context() if stop is None: stop = start start = 0 if step is None: step = 1 if start is None and stop is None: raise ValueError('start and stop cannot be both None') if step == 0: raise ZeroDivisionError('step cannot be 0') return _npi.arange(start=start, stop=stop, step=step, dtype=dtype, ctx=ctx) @set_module('mxnet.ndarray.numpy') def identity(n, dtype=None, ctx=None): """ Return the identity array. The identity array is a square array with ones on the main diagonal. Parameters ---------- n : int Number of rows (and columns) in `n` x `n` output. dtype : data-type, optional Data-type of the output. Defaults to ``numpy.float32``. ctx : Context, optional An optional device context (default is the current default context). Returns ------- out : ndarray `n` x `n` array with its main diagonal set to one, and all other elements 0. Examples -------- >>> np.identity(3) >>> np.identity(3) array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]]) """ if not isinstance(n, int): raise TypeError("Input 'n' should be an integer") if n < 0: raise ValueError("Input 'n' cannot be negative") if ctx is None: ctx = current_context() dtype = _np.float32 if dtype is None else dtype return _npi.identity(shape=(n, n), ctx=ctx, dtype=dtype) # pylint: disable=redefined-outer-name @set_module('mxnet.ndarray.numpy') def take(a, indices, axis=None, mode='raise', out=None): r""" Take elements from an array along an axis. When axis is not None, this function does the same thing as "fancy" indexing (indexing arrays using arrays); however, it can be easier to use if you need elements along a given axis. A call such as ``np.take(arr, indices, axis=3)`` is equivalent to ``arr[:,:,:,indices,...]``. Explained without fancy indexing, this is equivalent to the following use of `ndindex`, which sets each of ``ii``, ``jj``, and ``kk`` to a tuple of indices:: Ni, Nk = a.shape[:axis], a.shape[axis+1:] Nj = indices.shape for ii in ndindex(Ni): for jj in ndindex(Nj): for kk in ndindex(Nk): out[ii + jj + kk] = a[ii + (indices[jj],) + kk] Parameters ---------- a : ndarray The source array. indices : ndarray The indices of the values to extract. Also allow scalars for indices. axis : int, optional The axis over which to select values. By default, the flattened input array is used. out : ndarray, optional If provided, the result will be placed in this array. It should be of the appropriate shape and dtype. mode : {'clip', 'wrap'}, optional Specifies how out-of-bounds indices will behave. * 'clip' -- clip to the range (default) * 'wrap' -- wrap around 'clip' mode means that all indices that are too large are replaced by the index that addresses the last element along that axis. Note that this disables indexing with negative numbers. Returns ------- out : ndarray The returned array has the same type as `a`. Notes ----- This function differs from the original `numpy.take <https://docs.scipy.org/doc/numpy/reference/generated/numpy.take.html>`_ in the following way(s): - Only ndarray or scalar ndarray is accepted as valid input. Examples -------- >>> a = np.array([4, 3, 5, 7, 6, 8]) >>> indices = np.array([0, 1, 4]) >>> np.take(a, indices) array([4., 3., 6.]) In this example for `a` is an ndarray, "fancy" indexing can be used. >>> a[indices] array([4., 3., 6.]) If `indices` is not one dimensional, the output also has these dimensions. >>> np.take(a, np.array([[0, 1], [2, 3]])) array([[4., 3.], [5., 7.]]) """ if mode not in ('wrap', 'clip', 'raise'): raise NotImplementedError( "function take does not support mode '{}'".format(mode)) if axis is None: return _npi.take(_npi.reshape(a, -1), indices, 0, mode, out) else: return _npi.take(a, indices, axis, mode, out) # pylint: enable=redefined-outer-name #pylint: disable= too-many-arguments, no-member, protected-access def _ufunc_helper(lhs, rhs, fn_array, fn_scalar, lfn_scalar, rfn_scalar=None, out=None): """ Helper function for element-wise operation. The function will perform numpy-like broadcasting if needed and call different functions. Parameters -------- lhs : ndarray or numeric value Left-hand side operand. rhs : ndarray or numeric value Right-hand operand, fn_array : function Function to be called if both lhs and rhs are of ``ndarray`` type. fn_scalar : function Function to be called if both lhs and rhs are numeric values. lfn_scalar : function Function to be called if lhs is ``ndarray`` while rhs is numeric value rfn_scalar : function Function to be called if lhs is numeric value while rhs is ``ndarray``; if none is provided, then the function is commutative, so rfn_scalar is equal to lfn_scalar Returns -------- mxnet.numpy.ndarray or scalar result array or scalar """ from ...numpy import ndarray if isinstance(lhs, numeric_types): if isinstance(rhs, numeric_types): return fn_scalar(lhs, rhs, out=out) else: if rfn_scalar is None: # commutative function return lfn_scalar(rhs, float(lhs), out=out) else: return rfn_scalar(rhs, float(lhs), out=out) elif isinstance(rhs, numeric_types): return lfn_scalar(lhs, float(rhs), out=out) elif isinstance(rhs, ndarray): return fn_array(lhs, rhs, out=out) else: raise TypeError('type {} not supported'.format(str(type(rhs)))) #pylint: enable= too-many-arguments, no-member, protected-access @set_module('mxnet.ndarray.numpy') def unique(ar, return_index=False, return_inverse=False, return_counts=False, axis=None): """ Find the unique elements of an array. Returns the sorted unique elements of an array. There are three optional outputs in addition to the unique elements: * the indices of the input array that give the unique values * the indices of the unique array that reconstruct the input array * the number of times each unique value comes up in the input array Parameters ---------- ar : ndarray Input array. Unless `axis` is specified, this will be flattened if it is not already 1-D. return_index : bool, optional If True, also return the indices of `ar` (along the specified axis, if provided, or in the flattened array) that result in the unique array. return_inverse : bool, optional If True, also return the indices of the unique array (for the specified axis, if provided) that can be used to reconstruct `ar`. return_counts : bool, optional If True, also return the number of times each unique item appears in `ar`. axis : int or None, optional The axis to operate on. If None, `ar` will be flattened. If an integer, the subarrays indexed by the given axis will be flattened and treated as the elements of a 1-D array with the dimension of the given axis, see the notes for more details. The default is None. Returns ------- unique : ndarray The sorted unique values. unique_indices : ndarray, optional The indices of the first occurrences of the unique values in the original array. Only provided if `return_index` is True. unique_inverse : ndarray, optional The indices to reconstruct the original array from the unique array. Only provided if `return_inverse` is True. unique_counts : ndarray, optional The number of times each of the unique values comes up in the original array. Only provided if `return_counts` is True. Notes ----- When an axis is specified the subarrays indexed by the axis are sorted. This is done by making the specified axis the first dimension of the array and then flattening the subarrays in C order. The flattened subarrays are then viewed as a structured type with each element given a label, with the effect that we end up with a 1-D array of structured types that can be treated in the same way as any other 1-D array. The result is that the flattened subarrays are sorted in lexicographic order starting with the first element. This function differs from the original `numpy.unique <https://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html>`_ in the following aspects: - Only support ndarray as input. - Object arrays or structured arrays are not supported. Examples -------- >>> np.unique(np.array([1, 1, 2, 2, 3, 3])) array([1., 2., 3.]) >>> a = np.array([[1, 1], [2, 3]]) >>> np.unique(a) array([1., 2., 3.]) Return the unique rows of a 2D array >>> a = np.array([[1, 0, 0], [1, 0, 0], [2, 3, 4]]) >>> np.unique(a, axis=0) array([[1., 0., 0.], [2., 3., 4.]]) Return the indices of the original array that give the unique values: >>> a = np.array([1, 2, 6, 4, 2, 3, 2]) >>> u, indices = np.unique(a, return_index=True) >>> u array([1., 2., 3., 4., 6.]) >>> indices array([0, 1, 5, 3, 2], dtype=int64) >>> a[indices] array([1., 2., 3., 4., 6.]) Reconstruct the input array from the unique values: >>> a = np.array([1, 2, 6, 4, 2, 3, 2]) >>> u, indices = np.unique(a, return_inverse=True) >>> u array([1., 2., 3., 4., 6.]) >>> indices array([0, 1, 4, 3, 1, 2, 1], dtype=int64) >>> u[indices] array([1., 2., 6., 4., 2., 3., 2.]) """ ret = _npi.unique(ar, return_index, return_inverse, return_counts, axis) if isinstance(ret, list): return tuple(ret) else: return ret @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def add(x1, x2, out=None, **kwargs): """ Add arguments element-wise. Parameters ---------- x1, x2 : ndarrays or scalar values The arrays to be added. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other). out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- add : ndarray or scalar The sum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars. Notes ----- This operator now supports automatic type promotion. The resulting type will be determined according to the following rules: * If both inputs are of floating number types, the output is the more precise type. * If only one of the inputs is floating number type, the result is that type. * If both inputs are of integer types (including boolean), not supported yet. """ return _ufunc_helper(x1, x2, _npi.add, _np.add, _npi.add_scalar, None, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def subtract(x1, x2, out=None, **kwargs): """ Subtract arguments element-wise. Parameters ---------- x1, x2 : ndarrays or scalar values The arrays to be subtracted from each other. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other). out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- subtract : ndarray or scalar The difference of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars. Notes ----- This operator now supports automatic type promotion. The resulting type will be determined according to the following rules: * If both inputs are of floating number types, the output is the more precise type. * If only one of the inputs is floating number type, the result is that type. * If both inputs are of integer types (including boolean), not supported yet. """ return _ufunc_helper(x1, x2, _npi.subtract, _np.subtract, _npi.subtract_scalar, _npi.rsubtract_scalar, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def multiply(x1, x2, out=None, **kwargs): """ Multiply arguments element-wise. Parameters ---------- x1, x2 : ndarrays or scalar values The arrays to be multiplied. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other). out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar The multiplication of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars. Notes ----- This operator now supports automatic type promotion. The resulting type will be determined according to the following rules: * If both inputs are of floating number types, the output is the more precise type. * If only one of the inputs is floating number type, the result is that type. * If both inputs are of integer types (including boolean), not supported yet. """ return _ufunc_helper(x1, x2, _npi.multiply, _np.multiply, _npi.multiply_scalar, None, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def divide(x1, x2, out=None, **kwargs): """ Returns a true division of the inputs, element-wise. Parameters ---------- x1 : ndarray or scalar Dividend array. x2 : ndarray or scalar Divisor array. out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar This is a scalar if both x1 and x2 are scalars. Notes ----- This operator now supports automatic type promotion. The resulting type will be determined according to the following rules: * If both inputs are of floating number types, the output is the more precise type. * If only one of the inputs is floating number type, the result is that type. * If both inputs are of integer types (including boolean), the output is of float32 type. """ return _ufunc_helper(x1, x2, _npi.true_divide, _np.divide, _npi.true_divide_scalar, _npi.rtrue_divide_scalar, out) @set_module('mxnet.ndarray.numpy') def true_divide(x1, x2, out=None): """Returns a true division of the inputs, element-wise. Instead of the Python traditional 'floor division', this returns a true division. True division adjusts the output type to present the best answer, regardless of input types. Parameters ---------- x1 : ndarray or scalar Dividend array. x2 : ndarray or scalar Divisor array. out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar This is a scalar if both x1 and x2 are scalars. Notes ----- This operator now supports automatic type promotion. The resulting type will be determined according to the following rules: * If both inputs are of floating number types, the output is the more precise type. * If only one of the inputs is floating number type, the result is that type. * If both inputs are of integer types (including boolean), the output is of float32 type. """ return _ufunc_helper(x1, x2, _npi.true_divide, _np.divide, _npi.true_divide_scalar, _npi.rtrue_divide_scalar, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def mod(x1, x2, out=None, **kwargs): """ Return element-wise remainder of division. Parameters ---------- x1 : ndarray or scalar Dividend array. x2 : ndarray or scalar Divisor array. out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar This is a scalar if both x1 and x2 are scalars. """ return _ufunc_helper(x1, x2, _npi.mod, _np.mod, _npi.mod_scalar, _npi.rmod_scalar, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def remainder(x1, x2, out=None): """ Return element-wise remainder of division. Parameters ---------- x1 : ndarray or scalar Dividend array. x2 : ndarray or scalar Divisor array. out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar This is a scalar if both x1 and x2 are scalars. """ return _ufunc_helper(x1, x2, _npi.mod, _np.mod, _npi.mod_scalar, _npi.rmod_scalar, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def power(x1, x2, out=None, **kwargs): """ First array elements raised to powers from second array, element-wise. Parameters ---------- x1 : ndarray or scalar The bases. x2 : ndarray or scalar The exponent. out : ndarray A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar The bases in x1 raised to the exponents in x2. This is a scalar if both x1 and x2 are scalars. """ return _ufunc_helper(x1, x2, _npi.power, _np.power, _npi.power_scalar, _npi.rpower_scalar, out) @set_module('mxnet.ndarray.numpy') def argsort(a, axis=-1, kind=None, order=None): """ Returns the indices that would sort an array. Perform an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns an array of indices of the same shape as `a` that index data along the given axis in sorted order. Parameters ---------- a : ndarray Array to sort. axis : int or None, optional Axis along which to sort. The default is -1 (the last axis). If None, the flattened array is used. kind : string, optional This argument can take any string, but it does not have any effect on the final result. order : str or list of str, optional Not supported yet, will raise NotImplementedError if not None. Returns ------- index_array : ndarray, int Array of indices that sort `a` along the specified `axis`. If `a` is one-dimensional, ``a[index_array]`` yields a sorted `a`. More generally, ``np.take_along_axis(a, index_array, axis=axis)`` always yields the sorted `a`, irrespective of dimensionality. Notes ----- This operator does not support different sorting algorithms. Examples -------- One dimensional array: >>> x = np.array([3, 1, 2]) >>> np.argsort(x) array([1, 2, 0]) Two-dimensional array: >>> x = np.array([[0, 3], [2, 2]]) >>> x array([[0, 3], [2, 2]]) >>> ind = np.argsort(x, axis=0) # sorts along first axis (down) >>> ind array([[0, 1], [1, 0]]) >>> np.take_along_axis(x, ind, axis=0) # same as np.sort(x, axis=0) array([[0, 2], [2, 3]]) >>> ind = np.argsort(x, axis=1) # sorts along last axis (across) >>> ind array([[0, 1], [0, 1]]) >>> np.take_along_axis(x, ind, axis=1) # same as np.sort(x, axis=1) array([[0, 3], [2, 2]]) Indices of the sorted elements of a N-dimensional array: >>> ind = np.unravel_index(np.argsort(x, axis=None), x.shape) >>> ind (array([0, 1, 1, 0]), array([0, 0, 1, 1])) >>> x[ind] # same as np.sort(x, axis=None) array([0, 2, 2, 3]) """ if order is not None: raise NotImplementedError("order not supported here") return _npi.argsort(data=a, axis=axis, is_ascend=True, dtype='int64') @set_module('mxnet.ndarray.numpy') def tensordot(a, b, axes=2): r""" tensordot(a, b, axes=2) Compute tensor dot product along specified axes for arrays >= 1-D. Given two tensors (arrays of dimension greater than or equal to one), `a` and `b`, and an ndarray object containing two ndarray objects, ``(a_axes, b_axes)``, sum the products of `a`'s and `b`'s elements (components) over the axes specified by ``a_axes`` and ``b_axes``. The third argument can be a single non-negative integer_like scalar, ``N``; if it is such, then the last ``N`` dimensions of `a` and the first ``N`` dimensions of `b` are summed over. Parameters ---------- a, b : ndarray, len(shape) >= 1 Tensors to "dot". axes : int or (2,) ndarray * integer_like If an int N, sum over the last N axes of `a` and the first N axes of `b` in order. The sizes of the corresponding axes must match. * (2,) ndarray Or, a list of axes to be summed over, first sequence applying to `a`, second to `b`. Both elements ndarray must be of the same length. See Also -------- dot, einsum Notes ----- Three common use cases are: * ``axes = 0`` : tensor product :math:`a\otimes b` * ``axes = 1`` : tensor dot product :math:`a\cdot b` * ``axes = 2`` : (default) tensor double contraction :math:`a:b` When `axes` is integer_like, the sequence for evaluation will be: first the -Nth axis in `a` and 0th axis in `b`, and the -1th axis in `a` and Nth axis in `b` last. When there is more than one axis to sum over - and they are not the last (first) axes of `a` (`b`) - the argument `axes` should consist of two sequences of the same length, with the first axis to sum over given first in both sequences, the second axis second, and so forth. Examples -------- >>> a = np.arange(60.).reshape(3,4,5) >>> b = np.arange(24.).reshape(4,3,2) >>> c = np.tensordot(a,b, axes=([1,0],[0,1])) >>> c.shape (5, 2) >>> c array([[ 4400., 4730.], [ 4532., 4874.], [ 4664., 5018.], [ 4796., 5162.], [ 4928., 5306.]]) """ if _np.isscalar(axes): return _npi.tensordot_int_axes(a, b, axes) if len(axes) != 2: raise ValueError('Axes must consist of two arrays.') a_axes_summed, b_axes_summed = axes if _np.isscalar(a_axes_summed): a_axes_summed = (a_axes_summed,) if _np.isscalar(b_axes_summed): b_axes_summed = (b_axes_summed,) if len(a_axes_summed) != len(b_axes_summed): raise ValueError('Axes length mismatch') return _npi.tensordot(a, b, a_axes_summed, b_axes_summed) @set_module('mxnet.ndarray.numpy') def histogram(a, bins=10, range=None, normed=None, weights=None, density=None): # pylint: disable=too-many-arguments """ Compute the histogram of a set of data. Parameters ---------- a : ndarray Input data. The histogram is computed over the flattened array. bins : int or NDArray If `bins` is an int, it defines the number of equal-width bins in the given range (10, by default). If `bins` is a sequence, it defines a monotonically increasing array of bin edges, including the rightmost edge, allowing for non-uniform bin widths. .. versionadded:: 1.11.0 If `bins` is a string, it defines the method used to calculate the optimal bin width, as defined by `histogram_bin_edges`. range : (float, float) The lower and upper range of the bins. Required when `bins` is an integer. Values outside the range are ignored. The first element of the range must be less than or equal to the second. normed : bool, optional Not supported yet, coming soon. weights : array_like, optional Not supported yet, coming soon. density : bool, optional Not supported yet, coming soon. """ if normed is True: raise NotImplementedError("normed is not supported yet...") if weights is not None: raise NotImplementedError("weights is not supported yet...") if density is True: raise NotImplementedError("density is not supported yet...") if isinstance(bins, numeric_types): if range is None: raise NotImplementedError("automatic range is not supported yet...") return _npi.histogram(a, bin_cnt=bins, range=range) if isinstance(bins, (list, tuple)): raise NotImplementedError("array_like bins is not supported yet...") if isinstance(bins, str): raise NotImplementedError("string bins is not supported yet...") if isinstance(bins, NDArray): return _npi.histogram(a, bins=bins) raise ValueError("np.histogram fails with", locals()) @set_module('mxnet.ndarray.numpy') def eye(N, M=None, k=0, dtype=_np.float32, **kwargs): """ Return a 2-D array with ones on the diagonal and zeros elsewhere. Parameters ---------- N : int Number of rows in the output. M : int, optional Number of columns in the output. If None, defaults to N. k : int, optional Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal. dtype : data-type, optional Data-type of the returned array. Returns ------- I : ndarray of shape (N,M) An array where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one. """ _sanity_check_params('eye', ['order'], kwargs) ctx = kwargs.pop('ctx', current_context()) if ctx is None: ctx = current_context() return _npi.eye(N, M, k, ctx, dtype) @set_module('mxnet.ndarray.numpy') def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0, ctx=None): # pylint: disable=too-many-arguments r""" Return evenly spaced numbers over a specified interval. Returns num evenly spaced samples, calculated over the interval [start, stop]. The endpoint of the interval can optionally be excluded. Parameters ---------- start : real number The starting value of the sequence. stop : real number The end value of the sequence, unless endpoint is set to False. In that case, the sequence consists of all but the last of num + 1 evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False. num : int, optional Number of samples to generate. Default is 50. Must be non-negative. endpoint : bool, optional If True, stop is the last sample. Otherwise, it is not included. Default is True. retstep : bool, optional If True, return (samples, step), where step is the spacing between samples. dtype : dtype, optional The type of the output array. If dtype is not given, infer the data type from the other input arguments. axis : int, optional The axis in the result to store the samples. Relevant only if start or stop are array-like. By default (0), the samples will be along a new axis inserted at the beginning. Use -1 to get an axis at the end. Returns ------- samples : ndarray There are num equally spaced samples in the closed interval `[start, stop]` or the half-open interval `[start, stop)` (depending on whether endpoint is True or False). step : float, optional Only returned if retstep is True Size of spacing between samples. See Also -------- arange : Similar to `linspace`, but uses a step size (instead of the number of samples). Examples -------- >>> np.linspace(2.0, 3.0, num=5) array([2. , 2.25, 2.5 , 2.75, 3. ]) >>> np.linspace(2.0, 3.0, num=5, endpoint=False) array([2. , 2.2, 2.4, 2.6, 2.8]) >>> np.linspace(2.0, 3.0, num=5, retstep=True) (array([2. , 2.25, 2.5 , 2.75, 3. ]), 0.25) Graphical illustration: >>> import matplotlib.pyplot as plt >>> N = 8 >>> y = np.zeros(N) >>> x1 = np.linspace(0, 10, N, endpoint=True) >>> x2 = np.linspace(0, 10, N, endpoint=False) >>> plt.plot(x1.asnumpy(), y.asnumpy(), 'o') [<matplotlib.lines.Line2D object at 0x...>] >>> plt.plot(x2.asnumpy(), (y + 0.5).asnumpy(), 'o') [<matplotlib.lines.Line2D object at 0x...>] >>> plt.ylim([-0.5, 1]) (-0.5, 1) >>> plt.show() Notes ----- This function differs from the original `numpy.linspace <https://docs.scipy.org/doc/numpy/reference/generated/numpy.linspace.html>`_ in the following aspects: - `start` and `stop` do not support list, numpy ndarray and mxnet ndarray - axis could only be 0 - There could be an additional `ctx` argument to specify the device, e.g. the i-th GPU. """ if isinstance(start, (list, _np.ndarray, NDArray)) or \ isinstance(stop, (list, _np.ndarray, NDArray)): raise NotImplementedError('start and stop only support int') if axis != 0: raise NotImplementedError("the function only support axis 0") if ctx is None: ctx = current_context() if retstep: step = (stop - start) / (num - 1) return _npi.linspace(start=start, stop=stop, num=num, endpoint=endpoint, ctx=ctx, dtype=dtype), step else: return _npi.linspace(start=start, stop=stop, num=num, endpoint=endpoint, ctx=ctx, dtype=dtype) @set_module('mxnet.ndarray.numpy') def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0, ctx=None): # pylint: disable=too-many-arguments r"""Return numbers spaced evenly on a log scale. In linear space, the sequence starts at ``base ** start`` (`base` to the power of `start`) and ends with ``base ** stop`` (see `endpoint` below). Non-scalar `start` and `stop` are now supported. Parameters ---------- start : int or float ``base ** start`` is the starting value of the sequence. stop : int or float ``base ** stop`` is the final value of the sequence, unless `endpoint` is False. In that case, ``num + 1`` values are spaced over the interval in log-space, of which all but the last (a sequence of length `num`) are returned. num : integer, optional Number of samples to generate. Default is 50. endpoint : boolean, optional If true, `stop` is the last sample. Otherwise, it is not included. Default is True. base : float, optional The base of the log space. The step size between the elements in ``ln(samples) / ln(base)`` (or ``log_base(samples)``) is uniform. Default is 10.0. dtype : dtype The type of the output array. If `dtype` is not given, infer the data type from the other input arguments. axis : int, optional The axis in the result to store the samples. Relevant only if start or stop are array-like. By default (0), the samples will be along a new axis inserted at the beginning. Now, axis only support axis = 0. ctx : Context, optional An optional device context (default is the current default context). Returns ------- samples : ndarray `num` samples, equally spaced on a log scale. See Also -------- arange : Similar to linspace, with the step size specified instead of the number of samples. Note that, when used with a float endpoint, the endpoint may or may not be included. linspace : Similar to logspace, but with the samples uniformly distributed in linear space, instead of log space. Notes ----- Logspace is equivalent to the code. Now wo only support axis = 0. >>> y = np.linspace(start, stop, num=num, endpoint=endpoint) ... >>> power(base, y).astype(dtype) ... Examples -------- >>> np.logspace(2.0, 3.0, num=4) array([ 100. , 215.44347, 464.15887, 1000. ]) >>> np.logspace(2.0, 3.0, num=4, endpoint=False) array([100. , 177.82794, 316.22775, 562.3413 ]) >>> np.logspace(2.0, 3.0, num=4, base=2.0) array([4. , 5.0396843, 6.349604 , 8. ]) >>> np.logspace(2.0, 3.0, num=4, base=2.0, dtype=np.int32) array([4, 5, 6, 8], dtype=int32) >>> np.logspace(2.0, 3.0, num=4, ctx=npx.gpu(0)) array([ 100. , 215.44347, 464.15887, 1000. ], ctx=gpu(0)) """ if isinstance(start, (list, tuple, _np.ndarray, NDArray)) or \ isinstance(stop, (list, tuple, _np.ndarray, NDArray)): raise NotImplementedError('start and stop only support int and float') if axis != 0: raise NotImplementedError("the function only support axis 0") if ctx is None: ctx = current_context() return _npi.logspace(start=start, stop=stop, num=num, endpoint=endpoint, base=base, ctx=ctx, dtype=dtype) @set_module('mxnet.ndarray.numpy') def expand_dims(a, axis): """Expand the shape of an array. Insert a new axis that will appear at the `axis` position in the expanded Parameters ---------- a : ndarray Input array. axis : int Position in the expanded axes where the new axis is placed. Returns ------- res : ndarray Output array. The number of dimensions is one greater than that of the input array. """ return _npi.expand_dims(a, axis) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def lcm(x1, x2, out=None, **kwargs): """ Returns the lowest common multiple of ``|x1|`` and ``|x2|`` Parameters ---------- x1, x2 : ndarrays or scalar values The arrays for computing lowest common multiple. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other). out : ndarray or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar The lowest common multiple of the absolute value of the inputs This is a scalar if both `x1` and `x2` are scalars. See Also -------- gcd : The greatest common divisor Examples -------- >>> np.lcm(12, 20) 60 >>> np.lcm(np.arange(6, dtype=int), 20) array([ 0, 20, 20, 60, 20, 20], dtype=int64) """ return _ufunc_helper(x1, x2, _npi.lcm, _np.lcm, _npi.lcm_scalar, None, out) @set_module('mxnet.ndarray.numpy') def tril(m, k=0): r""" Lower triangle of an array. Return a copy of an array with elements above the `k`-th diagonal zeroed. Parameters ---------- m : ndarray, shape (M, N) Input array. k : int, optional Diagonal above which to zero elements. `k = 0` (the default) is the main diagonal, `k < 0` is below it and `k > 0` is above. Returns ------- tril : ndarray, shape (M, N) Lower triangle of `m`, of same shape and data-type as `m`. See Also -------- triu : same thing, only for the upper triangle Examples -------- >>> a = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) >>> np.tril(a, -1) array([[ 0., 0., 0.], [ 4., 0., 0.], [ 7., 8., 0.], [10., 11., 12.]]) """ return _npi.tril(m, k) def _unary_func_helper(x, fn_array, fn_scalar, out=None, **kwargs): """Helper function for unary operators. Parameters ---------- x : ndarray or scalar Input of the unary operator. fn_array : function Function to be called if x is of ``ndarray`` type. fn_scalar : function Function to be called if x is a Python scalar. out : ndarray The buffer ndarray for storing the result of the unary function. Returns ------- out : mxnet.numpy.ndarray or scalar Result array or scalar. """ if isinstance(x, numeric_types): return fn_scalar(x, **kwargs) elif isinstance(x, NDArray): return fn_array(x, out=out, **kwargs) else: raise TypeError('type {} not supported'.format(str(type(x)))) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def sin(x, out=None, **kwargs): r""" Trigonometric sine, element-wise. Parameters ---------- x : ndarray or scalar Angle, in radians (:math:`2 \pi` rad equals 360 degrees). out : ndarray or None A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. The dtype of the output is the same as that of the input if the input is an ndarray. Returns ------- y : ndarray or scalar The sine of each element of x. This is a scalar if `x` is a scalar. Notes ---- This function only supports input type of float. Examples -------- >>> np.sin(np.pi/2.) 1.0 >>> np.sin(np.array((0., 30., 45., 60., 90.)) * np.pi / 180.) array([0. , 0.5 , 0.70710677, 0.86602545, 1. ]) """ return _unary_func_helper(x, _npi.sin, _np.sin, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def cos(x, out=None, **kwargs): r""" Cosine, element-wise. Parameters ---------- x : ndarray or scalar Angle, in radians (:math:`2 \pi` rad equals 360 degrees). out : ndarray or None A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. The dtype of the output is the same as that of the input if the input is an ndarray. Returns ------- y : ndarray or scalar The corresponding cosine values. This is a scalar if x is a scalar. Notes ---- This function only supports input type of float. Examples -------- >>> np.cos(np.array([0, np.pi/2, np.pi])) array([ 1.000000e+00, -4.371139e-08, -1.000000e+00]) >>> # Example of providing the optional output parameter >>> out1 = np.array([0], dtype='f') >>> out2 = np.cos(np.array([0.1]), out1) >>> out2 is out1 True """ return _unary_func_helper(x, _npi.cos, _np.cos, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def sinh(x, out=None, **kwargs): """ Hyperbolic sine, element-wise. Equivalent to ``1/2 * (np.exp(x) - np.exp(-x))`` or ``-1j * np.sin(1j*x)``. Parameters ---------- x : ndarray or scalar Input array or scalar. out : ndarray or None A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. The dtype of the output is the same as that of the input if the input is an ndarray. Returns ------- y : ndarray or scalar The corresponding hyperbolic sine values. This is a scalar if `x` is a scalar. Notes ---- This function only supports input type of float. Examples -------- >>> np.sinh(0) 0.0 >>> # Example of providing the optional output parameter >>> out1 = np.array([0], dtype='f') >>> out2 = np.sinh(np.array([0.1]), out1) >>> out2 is out1 True """ return _unary_func_helper(x, _npi.sinh, _np.sinh, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def cosh(x, out=None, **kwargs): """ Hyperbolic cosine, element-wise. Equivalent to ``1/2 * (np.exp(x) + np.exp(-x))`` and ``np.cos(1j*x)``. Parameters ---------- x : ndarray or scalar Input array or scalar. out : ndarray or None A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. The dtype of the output is the same as that of the input if the input is an ndarray. Returns ------- y : ndarray or scalar The corresponding hyperbolic cosine values. This is a scalar if `x` is a scalar. Notes ---- This function only supports input type of float. Examples -------- >>> np.cosh(0) 1.0 """ return _unary_func_helper(x, _npi.cosh, _np.cosh, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def tanh(x, out=None, **kwargs): """ Compute hyperbolic tangent element-wise. Equivalent to ``np.sinh(x)/np.cosh(x)``. Parameters ---------- x : ndarray or scalar. Input array. out : ndarray or None A location into which the result is stored. If provided, it must have a shape that the inputs fill into. If not provided or None, a freshly-allocated array is returned. The dtype of the output and input must be the same. Returns ------- y : ndarray or scalar The corresponding hyperbolic tangent values. Notes ----- If `out` is provided, the function writes the result into it, and returns a reference to `out`. (See Examples) - input x does not support complex computation (like imaginary number) >>> np.tanh(np.pi*1j) TypeError: type <type 'complex'> not supported Examples -------- >>> np.tanh(np.array[0, np.pi])) array([0. , 0.9962721]) >>> np.tanh(np.pi) 0.99627207622075 >>> # Example of providing the optional output parameter illustrating >>> # that what is returned is a reference to said parameter >>> out1 = np.array(1) >>> out2 = np.tanh(np.array(0.1), out1) >>> out2 is out1 True """ return _unary_func_helper(x, _npi.tanh, _np.tanh, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def log10(x, out=None, **kwargs): """ Return the base 10 logarithm of the input array, element-wise. Parameters ---------- x : ndarray or scalar Input array or scalar. out : ndarray or None A location into which t'absolute', he result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. The dtype of the output is the same as that of the input if the input is an ndarray. Returns ------- y : ndarray or scalar The logarithm to the base 10 of `x`, element-wise. NaNs are returned where x is negative. This is a scalar if `x` is a scalar. Notes ---- This function only supports input type of float. Examples -------- >>> np.log10(np.array([1e-15, -3.])) array([-15., nan]) """ return _unary_func_helper(x, _npi.log10, _np.log10, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def sqrt(x, out=None, **kwargs): """ Return the non-negative square-root of an array, element-wise. Parameters ---------- x : ndarray or scalar The values whose square-roots are required. out : ndarray, or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar An array of the same shape as `x`, containing the positive square-root of each element in `x`. This is a scalar if `x` is a scalar. Notes ---- This function only supports input type of float. Examples -------- >>> np.sqrt(np.array([1,4,9])) array([1., 2., 3.]) >>> np.sqrt(np.array([4, -1, _np.inf])) array([ 2., nan, inf]) """ return _unary_func_helper(x, _npi.sqrt, _np.sqrt, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def cbrt(x, out=None, **kwargs): r""" Return the cube-root of an array, element-wise. Parameters ---------- x : ndarray The values whose cube-roots are required. out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. Returns ---------- y : ndarray An array of the same shape as x, containing the cube cube-root of each element in x. If out was provided, y is a reference to it. This is a scalar if x is a scalar. Examples ---------- >>> np.cbrt([1,8,27]) array([ 1., 2., 3.]) """ return _unary_func_helper(x, _npi.cbrt, _np.cbrt, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def abs(x, out=None, **kwargs): r""" Calculate the absolute value element-wise. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- absolute : ndarray An ndarray containing the absolute value of each element in `x`. This is a scalar if `x` is a scalar. Examples -------- >>> x = np.array([-1.2, 1.2]) >>> np.abs(x) array([1.2, 1.2]) """ return _unary_func_helper(x, _npi.abs, _np.abs, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def absolute(x, out=None, **kwargs): r""" Calculate the absolute value element-wise. np.abs is a shorthand for this function. Parameters ---------- x : ndarray Input array. out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. Returns ---------- absolute : ndarray An ndarray containing the absolute value of each element in x. Examples ---------- >>> x = np.array([-1.2, 1.2]) >>> np.absolute(x) array([ 1.2, 1.2]) """ return _unary_func_helper(x, _npi.absolute, _np.absolute, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def sign(x, out=None, **kwargs): r""" Returns an element-wise indication of the sign of a number. The `sign` function returns ``-1 if x < 0, 0 if x==0, 1 if x > 0``. Only supports real number. Parameters ---------- x : ndarray or a scalar Input values. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- y : ndarray The sign of `x`. This is a scalar if `x` is a scalar. Note ------- - Only supports real number as input elements. - Input type does not support Python native iterables(list, tuple, ...). - ``out`` param: cannot perform auto broadcasting. ``out`` ndarray's shape must be the same as the expected output. - ``out`` param: cannot perform auto type cast. ``out`` ndarray's dtype must be the same as the expected output. - ``out`` param does not support scalar input case. Examples -------- >>> a = np.array([-5., 4.5]) >>> np.sign(a) array([-1., 1.]) >>> # Use scalars as inputs: >>> np.sign(4.0) 1.0 >>> np.sign(0) 0 >>> # Use ``out`` parameter: >>> b = np.zeros((2, )) >>> np.sign(a, out=b) array([-1., 1.]) >>> b array([-1., 1.]) """ return _unary_func_helper(x, _npi.sign, _np.sign, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def exp(x, out=None, **kwargs): r""" Calculate the exponential of all elements in the input array. Parameters ---------- x : ndarray or scalar Input values. out : ndarray or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array, element-wise exponential of `x`. This is a scalar if `x` is a scalar. Examples -------- >>> np.exp(1) 2.718281828459045 >>> x = np.array([-1, 1, -2, 2]) >>> np.exp(x) array([0.36787945, 2.7182817 , 0.13533528, 7.389056 ]) """ return _unary_func_helper(x, _npi.exp, _np.exp, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def expm1(x, out=None, **kwargs): r""" Calculate `exp(x) - 1` of all elements in the input array. Parameters ---------- x : ndarray or scalar Input values. out : ndarray or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array, element-wise exponential minus one: `out = exp(x) - 1`. This is a scalar if `x` is a scalar. Examples -------- >>> np.expm1(1) 1.718281828459045 >>> x = np.array([-1, 1, -2, 2]) >>> np.expm1(x) array([-0.63212056, 1.71828183, -0.86466472, 6.3890561]) """ return _unary_func_helper(x, _npi.expm1, _np.expm1, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def arcsin(x, out=None, **kwargs): r""" Inverse sine, element-wise. Parameters ---------- x : ndarray or scalar `y`-coordinate on the unit circle. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape as the input. If not provided or None, a freshly-allocated array is returned. Returns ------- angle : ndarray or scalar Output array is same shape and type as x. This is a scalar if x is a scalar. The inverse sine of each element in `x`, in radians and in the closed interval ``[-pi/2, pi/2]``. Examples -------- >>> np.arcsin(1) # pi/2 1.5707963267948966 >>> np.arcsin(-1) # -pi/2 -1.5707963267948966 >>> np.arcsin(0) 0.0 Notes ----- `arcsin` is a multivalued function: for each `x` there are infinitely many numbers `z` such that :math:`sin(z) = x`. The convention is to return the angle `z` whose real part lies in [-pi/2, pi/2]. For real-valued input data types, *arcsin* always returns real output. For each value that cannot be expressed as a real number or infinity, it yields ``nan`` and sets the `invalid` floating point error flag. The inverse sine is also known as `asin` or sin^{-1}. The output `ndarray` has the same `ctx` as the input `ndarray`. This function differs from the original `numpy.arcsin <https://docs.scipy.org/doc/numpy/reference/generated/numpy.arcsin.html>`_ in the following aspects: - Only support ndarray or scalar now. - `where` argument is not supported. - Complex input is not supported. References ---------- Abramowitz, M. and Stegun, I. A., *Handbook of Mathematical Functions*, 10th printing, New York: Dover, 1964, pp. 79ff. http://www.math.sfu.ca/~cbm/aands/ """ return _unary_func_helper(x, _npi.arcsin, _np.arcsin, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def arccos(x, out=None, **kwargs): r""" Trigonometric inverse cosine, element-wise. The inverse of cos so that, if y = cos(x), then x = arccos(y). Parameters ---------- x : ndarray x-coordinate on the unit circle. For real arguments, the domain is [-1, 1]. out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. Returns ---------- angle : ndarray The angle of the ray intersecting the unit circle at the given x-coordinate in radians [0, pi]. This is a scalar if x is a scalar. See also ---------- cos, arctan, arcsin Notes ---------- arccos is a multivalued function: for each x there are infinitely many numbers z such that cos(z) = x. The convention is to return the angle z whose real part lies in [0, pi]. For real-valued input data types, arccos always returns real output. For each value that cannot be expressed as a real number or infinity, it yields nan and sets the invalid floating point error flag. The inverse cos is also known as acos or cos^-1. Examples ---------- >>> np.arccos([1, -1]) array([ 0. , 3.14159265]) """ return _unary_func_helper(x, _npi.arccos, _np.arccos, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def arctan(x, out=None, **kwargs): r""" Trigonometric inverse tangent, element-wise. The inverse of tan, so that if ``y = tan(x)`` then ``x = arctan(y)``. Parameters ---------- x : ndarray or scalar Input values. out : ndarray or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Out has the same shape as `x`. It lies is in ``[-pi/2, pi/2]`` (``arctan(+/-inf)`` returns ``+/-pi/2``). This is a scalar if `x` is a scalar. Notes ----- `arctan` is a multi-valued function: for each `x` there are infinitely many numbers `z` such that tan(`z`) = `x`. The convention is to return the angle `z` whose real part lies in [-pi/2, pi/2]. For real-valued input data types, `arctan` always returns real output. For each value that cannot be expressed as a real number or infinity, it yields ``nan`` and sets the `invalid` floating point error flag. For complex-valued input, we do not have support for them yet. The inverse tangent is also known as `atan` or tan^{-1}. Examples -------- >>> x = np.array([0, 1]) >>> np.arctan(x) array([0. , 0.7853982]) >>> np.pi/4 0.7853981633974483 """ return _unary_func_helper(x, _npi.arctan, _np.arctan, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def log(x, out=None, **kwargs): """ Natural logarithm, element-wise. The natural logarithm `log` is the inverse of the exponential function, so that `log(exp(x)) = x`. The natural logarithm is logarithm in base `e`. Parameters ---------- x : ndarray Input value. Elements must be of real value. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- y : ndarray The natural logarithm of `x`, element-wise. This is a scalar if `x` is a scalar. Notes ----- Currently only supports data of real values and ``inf`` as input. Returns data of real value, ``inf``, ``-inf`` and ``nan`` according to the input. This function differs from the original `numpy.log <https://docs.scipy.org/doc/numpy/reference/generated/numpy.log.html>`_ in the following aspects: - Does not support complex number for now - Input type does not support Python native iterables(list, tuple, ...). - ``out`` param: cannot perform auto broadcasting. ``out`` ndarray's shape must be the same as the expected output. - ``out`` param: cannot perform auto type cast. ``out`` ndarray's dtype must be the same as the expected output. - ``out`` param does not support scalar input case. Examples -------- >>> a = np.array([1, np.exp(1), np.exp(2), 0], dtype=np.float64) >>> np.log(a) array([ 0., 1., 2., -inf], dtype=float64) >>> # Using default float32 dtype may lead to slightly different behavior: >>> a = np.array([1, np.exp(1), np.exp(2), 0], dtype=np.float32) >>> np.log(a) array([ 0., 0.99999994, 2., -inf]) >>> np.log(1) 0.0 """ return _unary_func_helper(x, _npi.log, _np.log, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def degrees(x, out=None, **kwargs): """ Convert angles from radians to degrees. Parameters ---------- x : ndarray Input value. Elements must be of real value. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- y : ndarray The corresponding degree values; if `out` was supplied this is a reference to it. This is a scalar if `x` is a scalar. Notes ------- This function differs from the original `numpy.degrees <https://docs.scipy.org/doc/numpy/reference/generated/numpy.degrees.html>`_ in the following aspects: - Input type does not support Python native iterables(list, tuple, ...). Only ndarray is supported. - ``out`` param: cannot perform auto broadcasting. ``out`` ndarray's shape must be the same as the expected output. - ``out`` param: cannot perform auto type cast. ``out`` ndarray's dtype must be the same as the expected output. - ``out`` param does not support scalar input case. Examples -------- >>> rad = np.arange(12.) * np.pi / 6 >>> np.degrees(rad) array([ 0., 30., 60., 90., 120., 150., 180., 210., 240., 270., 300., 330.]) >>> # Use specified ``out`` ndarray: >>> out = np.zeros((rad.shape)) >>> np.degrees(rad, out) array([ 0., 30., 60., 90., 120., 150., 180., 210., 240., 270., 300., 330.]) >>> out array([ 0., 30., 60., 90., 120., 150., 180., 210., 240., 270., 300., 330.]) """ return _unary_func_helper(x, _npi.degrees, _np.degrees, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def rad2deg(x, out=None, **kwargs): r""" Convert angles from radians to degrees. Parameters ---------- x : ndarray or scalar Angles in degrees. out : ndarray or None, optional A location into which the result is stored. If not provided or `None`, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar The corresponding angle in radians. This is a scalar if `x` is a scalar. Notes ----- "rad2deg(x)" is "x *180 / pi". This function differs from the original numpy.arange in the following aspects: - Only support float32 and float64. - `out` must be in the same size of input. Examples -------- >>> np.rad2deg(np.pi/2) 90.0 """ return _unary_func_helper(x, _npi.rad2deg, _np.rad2deg, out=out) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def rint(x, out=None, **kwargs): """ Round elements of the array to the nearest integer. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None A location into which the result is stored. If provided, it must have the same shape and type as the input. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array is same shape and type as x. This is a scalar if x is a scalar. Notes ----- This function differs from the original `numpy.rint <https://docs.scipy.org/doc/numpy/reference/generated/numpy.rint.html>`_ in the following way(s): - only ndarray or scalar is accpted as valid input, tuple of ndarray is not supported - broadcasting to `out` of different shape is currently not supported - when input is plain python numerics, the result will not be stored in the `out` param Examples -------- >>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.rint(a) array([-2., -2., -0., 0., 1., 2., 2.]) """ return _unary_func_helper(x, _npi.rint, _np.rint, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def log2(x, out=None, **kwargs): """ Base-2 logarithm of x. Parameters ---------- x : ndarray or scalar Input values. out : ndarray or None A location into which the result is stored. If provided, it must have the same shape and type as the input. If not provided or None, a freshly-allocated array is returned. Returns ------- y : ndarray The logarithm base two of `x`, element-wise. This is a scalar if `x` is a scalar. Notes ----- This function differs from the original `numpy.log2 <https://www.google.com/search?q=numpy+log2>`_ in the following way(s): - only ndarray or scalar is accpted as valid input, tuple of ndarray is not supported - broadcasting to `out` of different shape is currently not supported - when input is plain python numerics, the result will not be stored in the `out` param Examples -------- >>> x = np.array([0, 1, 2, 2**4]) >>> np.log2(x) array([-inf, 0., 1., 4.]) """ return _unary_func_helper(x, _npi.log2, _np.log2, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def log1p(x, out=None, **kwargs): """ Return the natural logarithm of one plus the input array, element-wise. Calculates ``log(1 + x)``. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None A location into which the result is stored. If provided, it must have a shape that the inputs fill into. If not provided or None, a freshly-allocated array is returned. The dtype of the output and input must be the same. Returns ------- y : ndarray or scalar Natural logarithm of 1 + x, element-wise. This is a scalar if x is a scalar. Notes ----- For real-valued input, `log1p` is accurate also for `x` so small that `1 + x == 1` in floating-point accuracy. Logarithm is a multivalued function: for each `x` there is an infinite number of `z` such that `exp(z) = 1 + x`. The convention is to return the `z` whose imaginary part lies in `[-pi, pi]`. For real-valued input data types, `log1p` always returns real output. For each value that cannot be expressed as a real number or infinity, it yields ``nan`` and sets the `invalid` floating point error flag. cannot support complex-valued input. Examples -------- >>> np.log1p(1e-99) 1e-99 >>> a = np.array([3, 4, 5]) >>> np.log1p(a) array([1.3862944, 1.609438 , 1.7917595]) """ return _unary_func_helper(x, _npi.log1p, _np.log1p, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def radians(x, out=None, **kwargs): """ Convert angles from degrees to radians. Parameters ---------- x : ndarray or scalar Input array in degrees. out : ndarray or None A location into which the result is stored. If provided, it must have the same shape and type as the input. If not provided or None, a freshly-allocated array is returned. Returns ------- y : ndarray The corresponding radian values. This is a scalar if x is a scalar. Notes ----- This function differs from the original `numpy.radians <https://docs.scipy.org/doc/numpy/reference/generated/numpy.radians.html>`_ in the following way(s): - only ndarray or scalar is accpted as valid input, tuple of ndarray is not supported - broadcasting to `out` of different shape is currently not supported - when input is plain python numerics, the result will not be stored in the `out` param Examples -------- >>> deg = np.arange(12.) * 30. >>> np.radians(deg) array([0. , 0.5235988, 1.0471976, 1.5707964, 2.0943952, 2.6179938, 3.1415927, 3.6651914, 4.1887903, 4.712389 , 5.2359877, 5.7595863], dtype=float32) """ return _unary_func_helper(x, _npi.radians, _np.radians, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def deg2rad(x, out=None, **kwargs): r""" Convert angles from degrees to radians. Parameters ---------- x : ndarray or scalar Angles in degrees. out : ndarray or None, optional A location into which the result is stored. If not provided or `None`, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar The corresponding angle in radians. This is a scalar if `x` is a scalar. Notes ----- "deg2rad(x)" is "x * pi / 180". This function differs from the original numpy.arange in the following aspects: - Only support float32 and float64. - `out` must be in the same size of input. Examples -------- >>> np.deg2rad(180) 3.1415927 """ return _unary_func_helper(x, _npi.deg2rad, _np.deg2rad, out=out) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def reciprocal(x, out=None, **kwargs): r""" Return the reciprocal of the argument, element-wise. Calculates ``1/x``. Parameters ---------- x : ndarray or scalar The values whose reciprocals are required. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape as the input. If not provided or None, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar Output array is same shape and type as x. This is a scalar if x is a scalar. Examples -------- >>> np.reciprocal(2.) 0.5 >>> x = np.array([1, 2., 3.33]) >>> np.reciprocal(x) array([1. , 0.5 , 0.3003003]) Notes ----- .. note:: This function is not designed to work with integers. For integer arguments with absolute value larger than 1 the result is always zero because of the way Python handles integer division. For integer zero the result is an overflow. The output `ndarray` has the same `ctx` as the input `ndarray`. This function differs from the original `numpy.reciprocal <https://docs.scipy.org/doc/numpy/reference/generated/numpy.reciprocal.html>`_ in the following aspects: - Only support ndarray and scalar now. - `where` argument is not supported. """ return _unary_func_helper(x, _npi.reciprocal, _np.reciprocal, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def square(x, out=None, **kwargs): r""" Return the element-wise square of the input. Parameters ---------- x : ndarray or scalar The values whose squares are required. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape as the input. If not provided or None, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar Output array is same shape and type as x. This is a scalar if x is a scalar. Examples -------- >>> np.square(2.) 4.0 >>> x = np.array([1, 2., -1]) >>> np.square(x) array([1., 4., 1.]) Notes ----- The output `ndarray` has the same `ctx` as the input `ndarray`. This function differs from the original `numpy.square <https://docs.scipy.org/doc/numpy/reference/generated/numpy.square.html>`_ in the following aspects: - Only support ndarray and scalar now. - `where` argument is not supported. - Complex input is not supported. """ return _unary_func_helper(x, _npi.square, _np.square, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def negative(x, out=None, **kwargs): r""" Numerical negative, element-wise. Parameters: ------------ x : ndarray or scalar Input array. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. Returns: --------- y : ndarray or scalar Returned array or scalar: y = -x. This is a scalar if x is a scalar. Examples: --------- >>> np.negative(1) -1 """ return _unary_func_helper(x, _npi.negative, _np.negative, out=out) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def fix(x, out=None, **kwargs): r""" Round an array of floats element-wise to nearest integer towards zero. The rounded values are returned as floats. Parameters: ---------- x : ndarray An array of floats to be rounded out : ndarray, optional Output array Returns: ------- y : ndarray of floats Examples --------- >>> np.fix(3.14) 3 """ return _unary_func_helper(x, _npi.fix, _np.fix, out=out) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def tan(x, out=None, **kwargs): r""" Compute tangent element-wise. Equivalent to np.sin(x)/np.cos(x) element-wise. Parameters: ---------- x : ndarray Input array. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : ndarray, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. Returns: ------- y : ndarray The corresponding tangent values. This is a scalar if x is a scalar. Examples: --------- >>> np.tan(0.5) 0.5463024898437905 """ return _unary_func_helper(x, _npi.tan, _np.tan, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def ceil(x, out=None, **kwargs): r""" Return the ceiling of the input, element-wise. The ceil of the ndarray `x` is the smallest integer `i`, such that `i >= x`. It is often denoted as :math:`\lceil x \rceil`. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None A location into which the result is stored. If provided, it must have a same shape that the inputs fill into. If not provided or None, a freshly-allocated array is returned. The dtype of the output and input must be the same. Returns ------- y : ndarray or scalar The ceiling of each element in `x`, with `float` dtype. This is a scalar if `x` is a scalar. Examples -------- >>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.ceil(a) array([-1., -1., -0., 1., 2., 2., 2.]) >>> #if you use parameter out, x and out must be ndarray. >>> a = np.array(1) >>> np.ceil(np.array(3.5), a) array(4.) >>> a array(4.) """ return _unary_func_helper(x, _npi.ceil, _np.ceil, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def floor(x, out=None, **kwargs): r""" Return the floor of the input, element-wise. The floor of the ndarray `x` is the largest integer `i`, such that `i <= x`. It is often denoted as :math:`\lfloor x \rfloor`. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None A location into which the result is stored. If provided, it must have a same shape that the inputs fill into. If not provided or None, a freshly-allocated array is returned. The dtype of the output and input must be the same. Returns ------- y : ndarray or scalar The floor of each element in `x`, with `float` dtype. This is a scalar if `x` is a scalar. Examples -------- >>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.floor(a) array([-2., -2., -1., 0., 1., 1., 2.]) >>> #if you use parameter out, x and out must be ndarray. >>> a = np.array(1) >>> np.floor(np.array(3.5), a) array(3.) >>> a array(3.) """ return _unary_func_helper(x, _npi.floor, _np.floor, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def trunc(x, out=None, **kwargs): r""" Return the truncated value of the input, element-wise. The truncated value of the scalar `x` is the nearest integer `i` which is closer to zero than `x` is. In short, the fractional part of the signed number `x` is discarded. Parameters ---------- x : ndarray or scalar Input data. out : ndarray or None, optional A location into which the result is stored. Returns ------- y : ndarray or scalar The truncated value of each element in `x`. This is a scalar if `x` is a scalar. Notes ----- This function differs from the original numpy.trunc in the following aspects: - Do not support `where`, a parameter in numpy which indicates where to calculate. - Cannot cast type automatically. Dtype of `out` must be same as the expected one. - Cannot broadcast automatically. Shape of `out` must be same as the expected one. - If `x` is plain python numeric, the result won't be stored in out. Examples -------- >>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.trunc(a) array([-1., -1., -0., 0., 1., 1., 2.]) """ return _unary_func_helper(x, _npi.trunc, _np.trunc, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def logical_not(x, out=None, **kwargs): r""" Compute the truth value of NOT x element-wise. Parameters ---------- x : ndarray or scalar Logical NOT is applied to the elements of `x`. out : ndarray or None, optional A location into which the result is stored. Returns ------- y : bool or ndarray of bool Boolean result with the same shape as `x` of the NOT operation on elements of `x`. This is a scalar if `x` is a scalar. Notes ----- This function differs from the original numpy.logical_not in the following aspects: - Do not support `where`, a parameter in numpy which indicates where to calculate. - Cannot cast type automatically. Dtype of `out` must be same as the expected one. - Cannot broadcast automatically. Shape of `out` must be same as the expected one. - If `x` is plain python numeric, the result won't be stored in out. Examples -------- >>> x= np.array([True, False, 0, 1]) >>> np.logical_not(x) array([False, True, True, False]) >>> x = np.arange(5) >>> np.logical_not(x<3) array([False, False, False, True, True]) """ return _unary_func_helper(x, _npi.logical_not, _np.logical_not, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def arcsinh(x, out=None, **kwargs): r""" Inverse hyperbolic sine, element-wise. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None, optional A location into which the result is stored. Returns ------- arcsinh : ndarray Array of the same shape as `x`. This is a scalar if `x` is a scalar. Notes ----- `arcsinh` is a multivalued function: for each `x` there are infinitely many numbers `z` such that `sinh(z) = x`. For real-valued input data types, `arcsinh` always returns real output. For each value that cannot be expressed as a real number or infinity, it yields ``nan`` and sets the `invalid` floating point error flag. This function differs from the original numpy.arcsinh in the following aspects: - Do not support `where`, a parameter in numpy which indicates where to calculate. - Do not support complex-valued input. - Cannot cast type automatically. DType of `out` must be same as the expected one. - Cannot broadcast automatically. Shape of `out` must be same as the expected one. - If `x` is plain python numeric, the result won't be stored in out. Examples -------- >>> a = np.array([3.2, 5.0]) >>> np.arcsinh(a) array([1.8309381, 2.2924316]) >>> np.arcsinh(1) 0.0 """ return _unary_func_helper(x, _npi.arcsinh, _np.arcsinh, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def arccosh(x, out=None, **kwargs): r""" Inverse hyperbolic cosine, element-wise. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None, optional A location into which the result is stored. Returns ------- arccosh : ndarray Array of the same shape as `x`. This is a scalar if `x` is a scalar. Notes ----- `arccosh` is a multivalued function: for each `x` there are infinitely many numbers `z` such that `cosh(z) = x`. For real-valued input data types, `arccosh` always returns real output. For each value that cannot be expressed as a real number or infinity, it yields ``nan`` and sets the `invalid` floating point error flag. This function differs from the original numpy.arccosh in the following aspects: - Do not support `where`, a parameter in numpy which indicates where to calculate. - Do not support complex-valued input. - Cannot cast type automatically. Dtype of `out` must be same as the expected one. - Cannot broadcast automatically. Shape of `out` must be same as the expected one. - If `x` is plain python numeric, the result won't be stored in out. Examples -------- >>> a = np.array([3.2, 5.0]) >>> np.arccosh(a) array([1.8309381, 2.2924316]) >>> np.arccosh(1) 0.0 """ return _unary_func_helper(x, _npi.arccosh, _np.arccosh, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') @wrap_np_unary_func def arctanh(x, out=None, **kwargs): r""" Inverse hyperbolic tangent, element-wise. Parameters ---------- x : ndarray or scalar Input array. out : ndarray or None, optional A location into which the result is stored. Returns ------- arctanh : ndarray Array of the same shape as `x`. This is a scalar if `x` is a scalar. Notes ----- `arctanh` is a multivalued function: for each `x` there are infinitely many numbers `z` such that `tanh(z) = x`. For real-valued input data types, `arctanh` always returns real output. For each value that cannot be expressed as a real number or infinity, it yields ``nan`` and sets the `invalid` floating point error flag. This function differs from the original numpy.arctanh in the following aspects: - Do not support `where`, a parameter in numpy which indicates where to calculate. - Do not support complex-valued input. - Cannot cast type automatically. Dtype of `out` must be same as the expected one. - Cannot broadcast automatically. Shape of `out` must be same as the expected one. - If `x` is plain python numeric, the result won't be stored in out. Examples -------- >>> a = np.array([0.0, -0.5]) >>> np.arctanh(a) array([0., -0.54930615]) >>> np.arctanh(0.0) 0.0 """ return _unary_func_helper(x, _npi.arctanh, _np.arctanh, out=out, **kwargs) @set_module('mxnet.ndarray.numpy') def tile(A, reps): r""" Construct an array by repeating A the number of times given by reps. If `reps` has length ``d``, the result will have dimension of ``max(d, A.ndim)``. If ``A.ndim < d``, `A` is promoted to be d-dimensional by prepending new axes. So a shape (3,) array is promoted to (1, 3) for 2-D replication, or shape (1, 1, 3) for 3-D replication. If this is not the desired behavior, promote `A` to d-dimensions manually before calling this function. If ``A.ndim > d``, `reps` is promoted to `A`.ndim by pre-pending 1's to it. Thus for an `A` of shape (2, 3, 4, 5), a `reps` of (2, 2) is treated as (1, 1, 2, 2). Parameters ---------- A : ndarray or scalar An input array or a scalar to repeat. reps : a single integer or tuple of integers The number of repetitions of `A` along each axis. Returns ------- c : ndarray The tiled output array. Examples -------- >>> a = np.array([0, 1, 2]) >>> np.tile(a, 2) array([0., 1., 2., 0., 1., 2.]) >>> np.tile(a, (2, 2)) array([[0., 1., 2., 0., 1., 2.], [0., 1., 2., 0., 1., 2.]]) >>> np.tile(a, (2, 1, 2)) array([[[0., 1., 2., 0., 1., 2.]], [[0., 1., 2., 0., 1., 2.]]]) >>> b = np.array([[1, 2], [3, 4]]) >>> np.tile(b, 2) array([[1., 2., 1., 2.], [3., 4., 3., 4.]]) >>> np.(b, (2, 1)) array([[1., 2.], [3., 4.], [1., 2.], [3., 4.]]) >>> c = np.array([1,2,3,4]) >>> np.tile(c,(4,1)) array([[1., 2., 3., 4.], [1., 2., 3., 4.], [1., 2., 3., 4.], [1., 2., 3., 4.]]) Scalar as input: >>> np.tile(2, 3) array([2, 2, 2]) # repeating integer `2` """ return _unary_func_helper(A, _npi.tile, _np.tile, reps=reps) # pylint: disable=redefined-outer-name @set_module('mxnet.ndarray.numpy') def split(ary, indices_or_sections, axis=0): """ Split an array into multiple sub-arrays. Parameters ---------- ary : ndarray Array to be divided into sub-arrays. indices_or_sections : int or 1-D python tuple, list or set. If `indices_or_sections` is an integer, N, the array will be divided into N equal arrays along `axis`. If such a split is not possible, an error is raised. If `indices_or_sections` is a 1-D array of sorted integers, the entries indicate where along `axis` the array is split. For example, ``[2, 3]`` would, for ``axis=0``, result in - ary[:2] - ary[2:3] - ary[3:] If an index exceeds the dimension of the array along `axis`, an empty sub-array is returned correspondingly. axis : int, optional The axis along which to split, default is 0. Returns ------- sub-arrays : list of ndarrays A list of sub-arrays. Raises ------ ValueError If `indices_or_sections` is given as an integer, but a split does not result in equal division. """ axis_size = ary.shape[axis] if isinstance(indices_or_sections, integer_types): sections = indices_or_sections if axis_size % sections: raise ValueError('array split does not result in an equal division') section_size = int(axis_size / sections) indices = [i * section_size for i in range(sections)] elif isinstance(indices_or_sections, (list, set, tuple)): indices = [0] + list(indices_or_sections) else: raise ValueError('indices_or_sections must be either int, or tuple / list / set of ints') ret = _npi.split(ary, indices, axis, False) assert isinstance(ret, list), 'Output of split should be list,' \ ' got a return type {}'.format(type(ret)) return ret # pylint: enable=redefined-outer-name # pylint: disable=redefined-outer-name @set_module('mxnet.ndarray.numpy') def hsplit(ary, indices_or_sections): """Split an array into multiple sub-arrays horizontally (column-wise). This is equivalent to ``split`` with ``axis=0`` if ``ary`` has one dimension, and otherwise that with ``axis=1``. Parameters ---------- ary : ndarray Array to be divided into sub-arrays. indices_or_sections : int, list of ints or tuple of ints. If `indices_or_sections` is an integer, N, the array will be divided into N equal arrays along `axis`. If such a split is not possible, an error is raised. If `indices_or_sections` is a list of sorted integers, the entries indicate where along `axis` the array is split. If an index exceeds the dimension of the array along `axis`, it will raises errors. so index must less than or euqal to the dimension of the array along axis. Returns ------- sub-arrays : list of ndarrays A list of sub-arrays. Notes ------ - If `indices_or_sections` is given as an integer, but a split does not result in equal division.It will raises ValueErrors. - If indices_or_sections is an integer, and the number is 1, it will raises an error. Because single output from split is not supported yet... See Also -------- split : Split an array into multiple sub-arrays of equal size. Examples -------- >>> x = np.arange(16.0).reshape(4, 4) >>> x array([[ 0., 1., 2., 3.], [ 4., 5., 6., 7.], [ 8., 9., 10., 11.], [12., 13., 14., 15.]]) >>> np.hsplit(x, 2) [array([[ 0., 1.], [ 4., 5.], [ 8., 9.], [12., 13.]]), array([[ 2., 3.], [ 6., 7.], [10., 11.], [14., 15.]])] >>> np.hsplit(x, [3, 6]) [array([[ 0., 1., 2.], [ 4., 5., 6.], [ 8., 9., 10.], [12., 13., 14.]]), array([[ 3.], [ 7.], [11.], [15.]]), array([], shape=(4, 0), dtype=float32)] With a higher dimensional array the split is still along the second axis. >>> x = np.arange(8.0).reshape(2, 2, 2) >>> x array([[[ 0., 1.], [ 2., 3.]], [[ 4., 5.], [ 6., 7.]]]) >>> np.hsplit(x, 2) [array([[[ 0., 1.]], [[ 4., 5.]]]), array([[[ 2., 3.]], [[ 6., 7.]]])] If ``ary`` has one dimension, 'axis' = 0. >>> x = np.arange(4) array([0., 1., 2., 3.]) >>> np.hsplit(x, 2) [array([0., 1.]), array([2., 3.])] If you want to produce an empty sub-array, you can see an example. >>> np.hsplit(x, [2, 2]) [array([0., 1.]), array([], dtype=float32), array([2., 3.])] """ axis = 1 if len(ary.shape) == 1: axis = 0 axis_size = ary.shape[axis] if isinstance(indices_or_sections, integer_types): sections = indices_or_sections if axis_size % sections: raise ValueError('array hsplit does not result in an equal division') section_size = int(axis_size / sections) indices = [i * section_size for i in range(sections)] elif isinstance(indices_or_sections, (list, set, tuple)): indices = [0] + list(indices_or_sections) else: raise ValueError('indices_or_sections must either int or tuple of ints') ret = _npi.hsplit(ary, indices, axis, False) return ret # pylint: enable=redefined-outer-name @set_module('mxnet.ndarray.numpy') def vsplit(ary, indices_or_sections): r""" vsplit(ary, indices_or_sections) Split an array into multiple sub-arrays vertically (row-wise). ``vsplit`` is equivalent to ``split`` with `axis=0` (default): the array is always split along the first axis regardless of the array dimension. Parameters ---------- ary : ndarray Array to be divided into sub-arrays. indices_or_sections : int or 1 - D Python tuple, list or set. If `indices_or_sections` is an integer, N, the array will be divided into N equal arrays along axis 0. If such a split is not possible, an error is raised. If `indices_or_sections` is a 1-D array of sorted integers, the entries indicate where along axis 0 the array is split. For example, ``[2, 3]`` would result in - ary[:2] - ary[2:3] - ary[3:] If an index exceeds the dimension of the array along axis 0, an error will be thrown. Returns ------- sub-arrays : list of ndarrays A list of sub-arrays. See Also -------- split : Split an array into multiple sub-arrays of equal size. Notes ------- This function differs from the original `numpy.degrees <https://docs.scipy.org/doc/numpy/reference/generated/numpy.degrees.html>`_ in the following aspects: - Currently parameter ``indices_or_sections`` does not support ndarray, but supports scalar, tuple and list. - In ``indices_or_sections``, if an index exceeds the dimension of the array along axis 0, an error will be thrown. Examples -------- >>> x = np.arange(16.0).reshape(4, 4) >>> x array([[ 0., 1., 2., 3.], [ 4., 5., 6., 7.], [ 8., 9., 10., 11.], [ 12., 13., 14., 15.]]) >>> np.vsplit(x, 2) [array([[0., 1., 2., 3.], [4., 5., 6., 7.]]), array([[ 8., 9., 10., 11.], [12., 13., 14., 15.]])] With a higher dimensional array the split is still along the first axis. >>> x = np.arange(8.0).reshape(2, 2, 2) >>> x array([[[ 0., 1.], [ 2., 3.]], [[ 4., 5.], [ 6., 7.]]]) >>> np.vsplit(x, 2) [array([[[0., 1.], [2., 3.]]]), array([[[4., 5.], [6., 7.]]])] """ return split(ary, indices_or_sections, 0) @set_module('mxnet.ndarray.numpy') def concatenate(seq, axis=0, out=None): """ Join a sequence of arrays along an existing axis. Parameters ---------- a1, a2, ... : sequence of ndarray The arrays must have the same shape, except in the dimension corresponding to `axis` (the first, by default). axis : int, optional The axis along which the arrays will be joined. If axis is None, arrays are flattened before use. Default is 0. out : ndarray, optional If provided, the destination to place the result. The shape must be correct, matching that of what concatenate would have returned if no out argument were specified. Returns ------- res : ndarray The concatenated array. Examples -------- >>> a = np.array([[1, 2], [3, 4]]) >>> b = np.array([[5, 6]]) >>> np.concatenate((a, b), axis=0) array([[1., 2.], [3., 4.], [5., 6.]]) >>> np.concatenate((a, b), axis=None) array([1., 2., 3., 4., 5., 6.]) >>> np.concatenate((a, b.T), axis=1) array([[1., 2., 5.], [3., 4., 6.]]) """ return _npi.concatenate(*seq, axis=axis, out=out) @set_module('mxnet.ndarray.numpy') def append(arr, values, axis=None): # pylint: disable=redefined-outer-name """ Append values to the end of an array. Parameters ---------- arr : ndarray Values are appended to a copy of this array. values : ndarray These values are appended to a copy of `arr`. It must be of the correct shape (the same shape as `arr`, excluding `axis`). If `axis` is not specified, `values` can be any shape and will be flattened before use. axis : int, optional The axis along which `values` are appended. If `axis` is not given, both `arr` and `values` are flattened before use. Returns ------- append : ndarray A copy of `arr` with `values` appended to `axis`. Note that `append` does not occur in-place: a new array is allocated and filled. If `axis` is None, `out` is a flattened array. Examples -------- >>> np.append(np.array([1, 2, 3]), np.array([[4, 5, 6],[7, 8, 9]])) array([1., 2., 3., 4., 5., 6., 7., 8., 9.]) When `axis` is specified, `values` must have the correct shape. >>> np.append(np.array([[1, 2, 3], [4, 5, 6]]), np.array([[7, 8, 9]]), axis=0) array([[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]]) """ return _npi.concatenate(arr, values, axis=axis, out=None) @set_module('mxnet.ndarray.numpy') def stack(arrays, axis=0, out=None): """Join a sequence of arrays along a new axis. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if `axis=0` it will be the first dimension and if `axis=-1` it will be the last dimension. Parameters ---------- arrays : sequence of ndarray Each array must have the same shape. axis : int, optional The axis in the result array along which the input arrays are stacked. out : ndarray, optional If provided, the destination to place the result. The shape must be correct, matching that of what stack would have returned if no out argument were specified. Returns ------- stacked : ndarray The stacked array has one more dimension than the input arrays.""" def get_list(arrays): if not hasattr(arrays, '__getitem__') and hasattr(arrays, '__iter__'): raise ValueError("expected iterable for arrays but got {}".format(type(arrays))) return [arr for arr in arrays] arrays = get_list(arrays) return _npi.stack(*arrays, axis=axis, out=out) @set_module('mxnet.ndarray.numpy') def vstack(arrays, out=None): r"""Stack arrays in sequence vertically (row wise). This is equivalent to concatenation along the first axis after 1-D arrays of shape `(N,)` have been reshaped to `(1,N)`. Rebuilds arrays divided by `vsplit`. This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions `concatenate` and `stack` provide more general stacking and concatenation operations. Parameters ---------- tup : sequence of ndarrays The arrays must have the same shape along all but the first axis. 1-D arrays must have the same length. Returns ------- stacked : ndarray The array formed by stacking the given arrays, will be at least 2-D. Examples -------- >>> a = np.array([1, 2, 3]) >>> b = np.array([2, 3, 4]) >>> np.vstack((a, b)) array([[1., 2., 3.], [2., 3., 4.]]) >>> a = np.array([[1], [2], [3]]) >>> b = np.array([[2], [3], [4]]) >>> np.vstack((a, b)) array([[1.], [2.], [3.], [2.], [3.], [4.]]) """ def get_list(arrays): if not hasattr(arrays, '__getitem__') and hasattr(arrays, '__iter__'): raise ValueError("expected iterable for arrays but got {}".format(type(arrays))) return [arr for arr in arrays] arrays = get_list(arrays) return _npi.vstack(*arrays) @set_module('mxnet.ndarray.numpy') def column_stack(tup): """ Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just like with `hstack`. 1-D arrays are turned into 2-D columns first. Returns -------- stacked : 2-D array The array formed by stacking the given arrays. See Also -------- stack, hstack, vstack, concatenate Examples -------- >>> a = np.array((1,2,3)) >>> b = np.array((2,3,4)) >>> np.column_stack((a,b)) array([[1., 2.], [2., 3.], [3., 4.]]) """ return _npi.column_stack(*tup) @set_module('mxnet.ndarray.numpy') def dstack(arrays): """ Stack arrays in sequence depth wise (along third axis). This is equivalent to concatenation along the third axis after 2-D arrays of shape `(M,N)` have been reshaped to `(M,N,1)` and 1-D arrays of shape `(N,)` have been reshaped to `(1,N,1)`. Rebuilds arrays divided by `dsplit`. This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions `concatenate`, `stack` and `block` provide more general stacking and concatenation operations. Parameters ---------- tup : sequence of arrays The arrays must have the same shape along all but the third axis. 1-D or 2-D arrays must have the same shape. Returns ------- stacked : ndarray The array formed by stacking the given arrays, will be at least 3-D. Examples -------- >>> a = np.array((1,2,3)) >>> b = np.array((2,3,4)) >>> np.dstack((a,b)) array([[[1, 2], [2, 3], [3, 4]]]) >>> a = np.array([[1],[2],[3]]) >>> b = np.array([[2],[3],[4]]) >>> np.dstack((a,b)) array([[[1, 2]], [[2, 3]], [[3, 4]]]) """ return _npi.dstack(*arrays) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def maximum(x1, x2, out=None, **kwargs): """ Returns element-wise maximum of the input arrays with broadcasting. Parameters ---------- x1, x2 : scalar or mxnet.numpy.ndarray The arrays holding the elements to be compared. They must have the same shape, or shapes that can be broadcast to a single shape. Returns ------- out : mxnet.numpy.ndarray or scalar The maximum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.""" return _ufunc_helper(x1, x2, _npi.maximum, _np.maximum, _npi.maximum_scalar, None, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def minimum(x1, x2, out=None, **kwargs): """ Returns element-wise minimum of the input arrays with broadcasting. Parameters ---------- x1, x2 : scalar or mxnet.numpy.ndarray The arrays holding the elements to be compared. They must have the same shape, or shapes that can be broadcast to a single shape. Returns ------- out : mxnet.numpy.ndarray or scalar The minimum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.""" return _ufunc_helper(x1, x2, _npi.minimum, _np.minimum, _npi.minimum_scalar, None, out) @set_module('mxnet.ndarray.numpy') def swapaxes(a, axis1, axis2): """Interchange two axes of an array. Parameters ---------- a : ndarray Input array. axis1 : int First axis. axis2 : int Second axis. Returns ------- a_swapped : ndarray Swapped array. This is always a copy of the input array. """ return _npi.swapaxes(a, dim1=axis1, dim2=axis2) @set_module('mxnet.ndarray.numpy') def clip(a, a_min, a_max, out=None): """clip(a, a_min, a_max, out=None) Clip (limit) the values in an array. Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of ``[0, 1]`` is specified, values smaller than 0 become 0, and values larger than 1 become 1. Parameters ---------- a : ndarray Array containing elements to clip. a_min : scalar or `None` Minimum value. If `None`, clipping is not performed on lower interval edge. Not more than one of `a_min` and `a_max` may be `None`. a_max : scalar or `None` Maximum value. If `None`, clipping is not performed on upper interval edge. Not more than one of `a_min` and `a_max` may be `None`. out : ndarray, optional The results will be placed in this array. It may be the input array for in-place clipping. `out` must be of the right shape to hold the output. Its type is preserved. Returns ------- clipped_array : ndarray An array with the elements of `a`, but where values < `a_min` are replaced with `a_min`, and those > `a_max` with `a_max`. Notes ----- ndarray `a_min` and `a_max` are not supported. Examples -------- >>> a = np.arange(10) >>> np.clip(a, 1, 8) array([1., 1., 2., 3., 4., 5., 6., 7., 8., 8.], dtype=float32) >>> a array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.], dtype=float32) >>> np.clip(a, 3, 6, out=a) array([3., 3., 3., 3., 4., 5., 6., 6., 6., 6.], dtype=float32) """ if a_min is None and a_max is None: raise ValueError('array_clip: must set either max or min') if a_min is None: a_min = float('-inf') if a_max is None: a_max = float('inf') return _npi.clip(a, a_min, a_max, out=out) @set_module('mxnet.ndarray.numpy') def argmax(a, axis=None, out=None): r""" Returns the indices of the maximum values along an axis. Parameters ---------- a : ndarray Input array. Only support ndarrays of dtype `float16`, `float32`, and `float64`. axis : int, optional By default, the index is into the flattened array, otherwise along the specified axis. out : ndarray or None, optional A location into which the result is stored. If provided, it must have the same shape and dtype as input ndarray. If not provided or `None`, a freshly-allocated array is returned. Returns ------- index_array : ndarray of indices whose dtype is same as the input ndarray. Array of indices into the array. It has the same shape as `a.shape` with the dimension along `axis` removed. Notes ----- In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned. This function differs from the original `numpy.argmax <https://docs.scipy.org/doc/numpy/reference/generated/numpy.argmax.html>`_ in the following aspects: - Input type does not support Python native iterables(list, tuple, ...). - Output has dtype that is same as the input ndarray. - ``out`` param: cannot perform auto broadcasting. ``out`` ndarray's shape must be the same as the expected output. - ``out`` param: cannot perform auto type cast. ``out`` ndarray's dtype must be the same as the expected output. - ``out`` param does not support scalar input case. Examples -------- >>> a = np.arange(6).reshape(2,3) + 10 >>> a array([[10., 11., 12.], [13., 14., 15.]]) >>> np.argmax(a) array(5.) >>> np.argmax(a, axis=0) array([1., 1., 1.]) >>> np.argmax(a, axis=1) array([2., 2.]) >>> b = np.arange(6) >>> b[1] = 5 >>> b array([0., 5., 2., 3., 4., 5.]) >>> np.argmax(b) # Only the first occurrence is returned. array(1.) Specify ``out`` ndarray: >>> a = np.arange(6).reshape(2,3) + 10 >>> b = np.zeros((2,)) >>> np.argmax(a, axis=1, out=b) array([2., 2.]) >>> b array([2., 2.]) """ return _npi.argmax(a, axis=axis, keepdims=False, out=out) @set_module('mxnet.ndarray.numpy') def argmin(a, axis=None, out=None): r""" Returns the indices of the maximum values along an axis. Parameters ---------- a : ndarray Input array. Only support ndarrays of dtype `float16`, `float32`, and `float64`. axis : int, optional By default, the index is into the flattened array, otherwise along the specified axis. out : ndarray or None, optional If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype. Returns ------- index_array : ndarray of indices whose dtype is same as the input ndarray. Array of indices into the array. It has the same shape as `a.shape` with the dimension along `axis` removed. Notes ----- In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned. This function differs from the original `numpy.argmax <https://docs.scipy.org/doc/numpy/reference/generated/numpy.argmax.html>`_ in the following aspects: - Input type does not support Python native iterables(list, tuple, ...). - Output has dtype that is same as the input ndarray. - ``out`` param: cannot perform auto broadcasting. ``out`` ndarray's shape must be the same as the expected output. - ``out`` param: cannot perform auto type cast. ``out`` ndarray's dtype must be the same as the expected output. - ``out`` param does not support scalar input case. Examples -------- >>> a = np.arange(6).reshape(2,3) + 10 >>> a array([[10., 11., 12.], [13., 14., 15.]]) >>> np.argmin(a) array(0.) >>> np.argmin(a, axis=0) array([0., 0., 0.]) >>> np.argmin(a, axis=1) array([0., 0.]) >>> b = np.arange(6) >>> b[2] = 0 >>> b array([0., 1., 0., 3., 4., 5.]) >>> np.argmax(b) # Only the first occurrence is returned. array(0.) Specify ``out`` ndarray: >>> a = np.arange(6).reshape(2,3) + 10 >>> b = np.zeros((2,)) >>> np.argmin(a, axis=1, out=b) array([0., 0.]) >>> b array([0., 0.]) """ return _npi.argmin(a, axis=axis, keepdims=False, out=out) @set_module('mxnet.ndarray.numpy') def average(a, axis=None, weights=None, returned=False, out=None): """ Compute the weighted average along the specified axis. Parameters -------- a : ndarray Array containing data to be averaged. axis : None or int or tuple of ints, optional Axis or axes along which to average a. The default, axis=None, will average over all of the elements of the input array. If axis is negative it counts from the last to the first axis. New in version 1.7.0. If axis is a tuple of ints, averaging is performed on all of the axes specified in the tuple instead of a single axis or all the axes as before. weights : ndarray, optional An array of weights associated with the values in a, must be the same dtype with a. Each value in a contributes to the average according to its associated weight. The weights array can either be 1-D (in which case its length must be the size of a along the given axis) or of the same shape as a. If weights=None, then all data in a are assumed to have a weight equal to one. The 1-D calculation is: avg = sum(a * weights) / sum(weights) The only constraint on weights is that sum(weights) must not be 0. returned : bool, optional Default is False. If True, the tuple (average, sum_of_weights) is returned, otherwise only the average is returned. If weights=None, sum_of_weights is equivalent to the number of elements over which the average is taken. out : ndarray, optional If provided, the calculation is done into this array. Returns -------- retval, [sum_of_weights] : ndarray Return the average along the specified axis. When returned is True, return a tuple with the average as the first element and the sum of the weights as the second element. sum_of_weights is of the same type as retval. If a is integral, the result dtype will be float32, otherwise it will be the same as dtype of a. Raises -------- MXNetError - When all weights along axis sum to zero. - When the length of 1D weights is not the same as the shape of a along axis. - When given 1D weights, the axis is not specified or is not int. - When the shape of weights and a differ, but weights are not 1D. See also -------- mean Notes -------- This function differs from the original `numpy.average` <https://numpy.org/devdocs/reference/generated/numpy.average.html>`_ in the following way(s): - Does not guarantee the same behavior with numpy when given float16 dtype and overflow happens - Does not support complex dtype - The dtypes of a and weights must be the same - Integral a results in float32 returned dtype, not float64 Examples -------- >>> data = np.arange(1, 5) >>> data array([1., 2., 3., 4.]) >>> np.average(data) array(2.5) >>> np.average(np.arange(1, 11), weights=np.arange(10, 0, -1)) array(4.) >>> data = np.arange(6).reshape((3,2)) >>> data array([[0., 1.], [2., 3.], [4., 5.]]) >>> weights = np.array([0.25, 0.75]) array([0.25, 0.75]) >>> np.average(data, axis=1, weights=weights) array([0.75, 2.75, 4.75]) """ if weights is None: return _npi.average(a, axis=axis, weights=None, returned=returned, weighted=False, out=out) else: return _npi.average(a, axis=axis, weights=weights, returned=returned, out=out) @set_module('mxnet.ndarray.numpy') def mean(a, axis=None, dtype=None, out=None, keepdims=False): # pylint: disable=arguments-differ """ mean(a, axis=None, dtype=None, out=None, keepdims=None) Compute the arithmetic mean along the specified axis. Returns the average of the array elements. The average is taken over the flattened array by default, otherwise over the specified axis. Parameters ---------- a : ndarray ndarray containing numbers whose mean is desired. axis : None or int or tuple of ints, optional Axis or axes along which the means are computed. The default is to compute the mean of the flattened array. If this is a tuple of ints, a mean is performed over multiple axes, instead of a single axis or all the axes as before. dtype : data-type, optional Type to use in computing the mean. For integer inputs, the default is float32; for floating point inputs, it is the same as the input dtype. out : ndarray, optional Alternate output array in which to place the result. The default is None; if provided, it must have the same shape and type as the expected output keepdims : bool, optional If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. If the default value is passed, then keepdims will not be passed through to the mean method of sub-classes of ndarray, however any non-default value will be. If the sub-class method does not implement keepdims any exceptions will be raised. Returns ------- m : ndarray, see dtype parameter above If out=None, returns a new array containing the mean values, otherwise a reference to the output array is returned. Notes ----- This function differs from the original `numpy.mean <https://docs.scipy.org/doc/numpy/reference/generated/numpy.mean.html>`_ in the following way(s): - only ndarray is accepted as valid input, python iterables or scalar is not supported - default data type for integer input is float32 Examples -------- >>> a = np.array([[1, 2], [3, 4]]) >>> np.mean(a) array(2.5) >>> a = np.zeros((2, 512*512), dtype=np.float32) >>> a[0,:] = 1.0 >>> a[1,:] = 0.1 >>> np.mean(a) array(0.55) >>> np.mean(a, dtype=np.float64) array(0.55) """ return _npi.mean(a, axis=axis, dtype=dtype, keepdims=keepdims, out=out) @set_module('mxnet.ndarray.numpy') def std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False): # pylint: disable=too-many-arguments """ Compute the standard deviation along the specified axis. Returns the standard deviation, a measure of the spread of a distribution, of the array elements. The standard deviation is computed for the flattened array by default, otherwise over the specified axis. Parameters ---------- a : ndarray Calculate the standard deviation of these values. axis : None or int or tuple of ints, optional Axis or axes along which the standard deviation is computed. The default is to compute the standard deviation of the flattened array. .. versionadded:: 1.7.0 If this is a tuple of ints, a standard deviation is performed over multiple axes, instead of a single axis or all the axes as before. dtype : dtype, optional Type to use in computing the standard deviation. For arrays of integer type the default is float64, for arrays of float types it is the same as the array type. out : ndarray, optional Alternative output array in which to place the result. It must have the same shape as the expected output but the type (of the calculated values) will be cast if necessary. ddof : int, optional Means Delta Degrees of Freedom. The divisor used in calculations is ``N - ddof``, where ``N`` represents the number of elements. By default `ddof` is zero. keepdims : bool, optional If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. If the default value is passed, then `keepdims` will not be passed through to the `std` method of sub-classes of `ndarray`, however any non-default value will be. If the sub-class' method does not implement `keepdims` any exceptions will be raised. Returns ------- standard_deviation : ndarray, see dtype parameter above. If `out` is None, return a new array containing the standard deviation, otherwise return a reference to the output array. Examples -------- >>> a = np.array([[1, 2], [3, 4]]) >>> np.std(a) 1.1180339887498949 # may vary >>> np.std(a, axis=0) array([1., 1.]) >>> np.std(a, axis=1) array([0.5, 0.5]) In single precision, std() can be inaccurate: >>> a = np.zeros((2, 512*512), dtype=np.float32) >>> a[0, :] = 1.0 >>> a[1, :] = 0.1 >>> np.std(a) array(0.45) >>> np.std(a, dtype=np.float64) array(0.45, dtype=float64) """ return _npi.std(a, axis=axis, dtype=dtype, ddof=ddof, keepdims=keepdims, out=out) @set_module('mxnet.ndarray.numpy') def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False): # pylint: disable=too-many-arguments """ Compute the variance along the specified axis. Returns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis. Parameters ---------- a : ndarray Array containing numbers whose variance is desired. If `a` is not an array, a conversion is attempted. axis : None or int or tuple of ints, optional Axis or axes along which the variance is computed. The default is to compute the variance of the flattened array. .. versionadded:: 1.7.0 If this is a tuple of ints, a variance is performed over multiple axes, instead of a single axis or all the axes as before. dtype : data-type, optional Type to use in computing the variance. For arrays of integer type the default is `float32`; for arrays of float types it is the same as the array type. out : ndarray, optional Alternate output array in which to place the result. It must have the same shape as the expected output, but the type is cast if necessary. ddof : int, optional "Delta Degrees of Freedom": the divisor used in the calculation is ``N - ddof``, where ``N`` represents the number of elements. By default `ddof` is zero. keepdims : bool, optional If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. If the default value is passed, then `keepdims` will not be passed through to the `var` method of sub-classes of `ndarray`, however any non-default value will be. If the sub-class' method does not implement `keepdims` any exceptions will be raised. Returns ------- variance : ndarray, see dtype parameter above If ``out=None``, returns a new array containing the variance; otherwise, a reference to the output array is returned. Examples -------- >>> a = np.array([[1, 2], [3, 4]]) >>> np.var(a) array(1.25) >>> np.var(a, axis=0) array([1., 1.]) >>> np.var(a, axis=1) array([0.25, 0.25]) >>> a = np.zeros((2, 512*512), dtype=np.float32) >>> a[0, :] = 1.0 >>> a[1, :] = 0.1 >>> np.var(a) array(0.2025) >>> np.var(a, dtype=np.float64) array(0.2025, dtype=float64) >>> ((1-0.55)**2 + (0.1-0.55)**2)/2 0.2025 """ return _npi.var(a, axis=axis, dtype=dtype, ddof=ddof, keepdims=keepdims, out=out) # pylint: disable=redefined-outer-name @set_module('mxnet.ndarray.numpy') def indices(dimensions, dtype=_np.int32, ctx=None): """Return an array representing the indices of a grid. Compute an array where the subarrays contain index values 0,1,... varying only along the corresponding axis. Parameters ---------- dimensions : sequence of ints The shape of the grid. dtype : data-type, optional The desired data-type for the array. Default is `float32`. ctx : device context, optional Device context on which the memory is allocated. Default is `mxnet.context.current_context()`. Returns ------- grid : ndarray The array of grid indices, ``grid.shape = (len(dimensions),) + tuple(dimensions)``. Notes ----- The output shape is obtained by prepending the number of dimensions in front of the tuple of dimensions, i.e. if `dimensions` is a tuple ``(r0, ..., rN-1)`` of length ``N``, the output shape is ``(N,r0,...,rN-1)``. The subarrays ``grid[k]`` contains the N-D array of indices along the ``k-th`` axis. Explicitly:: grid[k,i0,i1,...,iN-1] = ik Examples -------- >>> grid = np.indices((2, 3)) >>> grid.shape (2, 2, 3) >>> grid[0] # row indices array([[0, 0, 0], [1, 1, 1]]) >>> grid[1] # column indices array([[0, 0, 0], [1, 1, 1]], dtype=int32) The indices can be used as an index into an array. >>> x = np.arange(20).reshape(5, 4) >>> row, col = np.indices((2, 3)) >>> x[row, col] array([[0., 1., 2.], [4., 5., 6.]]) Note that it would be more straightforward in the above example to extract the required elements directly with ``x[:2, :3]``. """ if isinstance(dimensions, (tuple, list)): if ctx is None: ctx = current_context() return _npi.indices(dimensions=dimensions, dtype=dtype, ctx=ctx) else: raise ValueError("The dimensions must be sequence of ints") # pylint: enable=redefined-outer-name @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def copysign(x1, x2, out=None, **kwargs): r""" Change the sign of x1 to that of x2, element-wise. If `x2` is a scalar, its sign will be copied to all elements of `x1`. Parameters ---------- x1 : ndarray or scalar Values to change the sign of. x2 : ndarray or scalar The sign of `x2` is copied to `x1`. out : ndarray or None, optional A location into which the result is stored. It must be of the right shape and right type to hold the output. If not provided or `None`,a freshly-allocated array is returned. Returns ------- out : ndarray or scalar The values of `x1` with the sign of `x2`. This is a scalar if both `x1` and `x2` are scalars. Notes ------- This function differs from the original `numpy.copysign <https://docs.scipy.org/doc/numpy/reference/generated/numpy.copysign.html>`_ in the following aspects: - ``where`` param is not supported. Examples -------- >>> np.copysign(1.3, -1) -1.3 >>> 1/np.copysign(0, 1) inf >>> 1/np.copysign(0, -1) -inf >>> a = np.array([-1, 0, 1]) >>> np.copysign(a, -1.1) array([-1., -0., -1.]) >>> np.copysign(a, np.arange(3)-1) array([-1., 0., 1.]) """ return _ufunc_helper(x1, x2, _npi.copysign, _np.copysign, _npi.copysign_scalar, _npi.rcopysign_scalar, out) @set_module('mxnet.ndarray.numpy') def ravel(x, order='C'): r""" ravel(x) Return a contiguous flattened array. A 1-D array, containing the elements of the input, is returned. A copy is made only if needed. Parameters ---------- x : ndarray Input array. The elements in `x` are read in row-major, C-style order and packed as a 1-D array. order : `C`, optional Only support row-major, C-style order. Returns ------- y : ndarray y is an array of the same subtype as `x`, with shape ``(x.size,)``. Note that matrices are special cased for backward compatibility, if `x` is a matrix, then y is a 1-D ndarray. Notes ----- This function differs from the original numpy.arange in the following aspects: - Only support row-major, C-style order. Examples -------- It is equivalent to ``reshape(x, -1)``. >>> x = np.array([[1, 2, 3], [4, 5, 6]]) >>> print(np.ravel(x)) [1. 2. 3. 4. 5. 6.] >>> print(x.reshape(-1)) [1. 2. 3. 4. 5. 6.] >>> print(np.ravel(x.T)) [1. 4. 2. 5. 3. 6.] """ if order != 'C': raise NotImplementedError('order {} is not supported'.format(order)) if isinstance(x, numeric_types): return _np.reshape(x, -1) elif isinstance(x, NDArray): return _npi.reshape(x, -1) else: raise TypeError('type {} not supported'.format(str(type(x)))) def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-name """ Converts a flat index or array of flat indices into a tuple of coordinate arrays. Parameters: ------------- indices : array_like An integer array whose elements are indices into the flattened version of an array of dimensions shape. Before version 1.6.0, this function accepted just one index value. shape : tuple of ints The shape of the array to use for unraveling indices. Returns: ------------- unraveled_coords : ndarray Each row in the ndarray has the same shape as the indices array. Each column in the ndarray represents the unravelled index Examples: ------------- >>> np.unravel_index([22, 41, 37], (7,6)) ([3. 6. 6.] [4. 5. 1.]) >>> np.unravel_index(1621, (6,7,8,9)) (3, 1, 4, 1) """ if order == 'C': if isinstance(indices, numeric_types): return _np.unravel_index(indices, shape) ret = _npi.unravel_index_fallback(indices, shape=shape) ret_list = [] for item in ret: ret_list += [item] return tuple(ret_list) else: raise NotImplementedError('Do not support column-major (Fortran-style) order at this moment') @set_module('mxnet.ndarray.numpy') def hanning(M, dtype=_np.float32, ctx=None): r"""Return the Hanning window. The Hanning window is a taper formed by using a weighted cosine. Parameters ---------- M : int Number of points in the output window. If zero or less, an empty array is returned. dtype : str or numpy.dtype, optional An optional value type. Default is `float32`. Note that you need select numpy.float32 or float64 in this operator. ctx : Context, optional An optional device context (default is the current default context). Returns ------- out : ndarray, shape(M,) The window, with the maximum value normalized to one (the value one appears only if `M` is odd). See Also -------- blackman, hamming Notes ----- The Hanning window is defined as .. math:: w(n) = 0.5 - 0.5cos\left(\frac{2\pi{n}}{M-1}\right) \qquad 0 \leq n \leq M-1 The Hanning was named for Julius von Hann, an Austrian meteorologist. It is also known as the Cosine Bell. Some authors prefer that it be called a Hann window, to help avoid confusion with the very similar Hamming window. Most references to the Hanning window come from the signal processing literature, where it is used as one of many windowing functions for smoothing values. It is also known as an apodization (which means "removing the foot", i.e. smoothing discontinuities at the beginning and end of the sampled signal) or tapering function. References ---------- .. [1] Blackman, R.B. and Tukey, J.W., (1958) The measurement of power spectra, Dover Publications, New York. .. [2] E.R. Kanasewich, "Time Sequence Analysis in Geophysics", The University of Alberta Press, 1975, pp. 106-108. .. [3] Wikipedia, "Window function", http://en.wikipedia.org/wiki/Window_function .. [4] W.H. Press, B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling, "Numerical Recipes", Cambridge University Press, 1986, page 425. Examples -------- >>> np.hanning(12) array([0. , 0.07937324, 0.29229254, 0.5711574 , 0.8274304 , 0.9797465 , 0.97974646, 0.82743025, 0.5711573 , 0.29229245, 0.07937312, 0. ]) Plot the window and its frequency response: >>> import matplotlib.pyplot as plt >>> window = np.hanning(51) >>> plt.plot(window.asnumpy()) [<matplotlib.lines.Line2D object at 0x...>] >>> plt.title("Hann window") Text(0.5, 1.0, 'Hann window') >>> plt.ylabel("Amplitude") Text(0, 0.5, 'Amplitude') >>> plt.xlabel("Sample") Text(0.5, 0, 'Sample') >>> plt.show() """ if ctx is None: ctx = current_context() return _npi.hanning(M, dtype=dtype, ctx=ctx) @set_module('mxnet.ndarray.numpy') def hamming(M, dtype=_np.float32, ctx=None): r"""Return the hamming window. The hamming window is a taper formed by using a weighted cosine. Parameters ---------- M : int Number of points in the output window. If zero or less, an empty array is returned. dtype : str or numpy.dtype, optional An optional value type. Default is `float32`. Note that you need select numpy.float32 or float64 in this operator. ctx : Context, optional An optional device context (default is the current default context). Returns ------- out : ndarray, shape(M,) The window, with the maximum value normalized to one (the value one appears only if `M` is odd). See Also -------- blackman, hanning Notes ----- The Hamming window is defined as .. math:: w(n) = 0.54 - 0.46cos\left(\frac{2\pi{n}}{M-1}\right) \qquad 0 \leq n \leq M-1 The Hamming was named for R. W. Hamming, an associate of J. W. Tukey and is described in Blackman and Tukey. It was recommended for smoothing the truncated autocovariance function in the time domain. Most references to the Hamming window come from the signal processing literature, where it is used as one of many windowing functions for smoothing values. It is also known as an apodization (which means "removing the foot", i.e. smoothing discontinuities at the beginning and end of the sampled signal) or tapering function. References ---------- .. [1] Blackman, R.B. and Tukey, J.W., (1958) The measurement of power spectra, Dover Publications, New York. .. [2] E.R. Kanasewich, "Time Sequence Analysis in Geophysics", The University of Alberta Press, 1975, pp. 109-110. .. [3] Wikipedia, "Window function", https://en.wikipedia.org/wiki/Window_function .. [4] W.H. Press, B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling, "Numerical Recipes", Cambridge University Press, 1986, page 425. Examples -------- >>> np.hamming(12) array([0.08000001, 0.15302339, 0.34890914, 0.6054648 , 0.841236 , 0.9813669 , 0.9813668 , 0.8412359 , 0.6054647 , 0.34890908, 0.15302327, 0.08000001]) Plot the window and its frequency response: >>> import matplotlib.pyplot as plt >>> window = np.hamming(51) >>> plt.plot(window.asnumpy()) [<matplotlib.lines.Line2D object at 0x...>] >>> plt.title("hamming window") Text(0.5, 1.0, 'hamming window') >>> plt.ylabel("Amplitude") Text(0, 0.5, 'Amplitude') >>> plt.xlabel("Sample") Text(0.5, 0, 'Sample') >>> plt.show() """ if ctx is None: ctx = current_context() return _npi.hamming(M, dtype=dtype, ctx=ctx) @set_module('mxnet.ndarray.numpy') def blackman(M, dtype=_np.float32, ctx=None): r"""Return the Blackman window. The Blackman window is a taper formed by using the first three terms of a summation of cosines. It was designed to have close to the minimal leakage possible. It is close to optimal, only slightly worse than a Kaiser window. Parameters ---------- M : int Number of points in the output window. If zero or less, an empty array is returned. dtype : str or numpy.dtype, optional An optional value type. Default is `float32`. Note that you need select numpy.float32 or float64 in this operator. ctx : Context, optional An optional device context (default is the current default context). Returns ------- out : ndarray The window, with the maximum value normalized to one (the value one appears only if the number of samples is odd). See Also -------- hamming, hanning Notes ----- The Blackman window is defined as .. math:: w(n) = 0.42 - 0.5 \cos(2\pi n/{M-1}) + 0.08 \cos(4\pi n/{M-1}) Most references to the Blackman window come from the signal processing literature, where it is used as one of many windowing functions for smoothing values. It is also known as an apodization (which means "removing the foot", i.e. smoothing discontinuities at the beginning and end of the sampled signal) or tapering function. It is known as a "near optimal" tapering function, almost as good (by some measures) as the kaiser window. References ---------- Blackman, R.B. and Tukey, J.W., (1958) The measurement of power spectra, Dover Publications, New York. Oppenheim, A.V., and R.W. Schafer. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 1999, pp. 468-471. Examples -------- >>> np.blackman(12) array([-1.4901161e-08, 3.2606423e-02, 1.5990365e-01, 4.1439798e-01, 7.3604530e-01, 9.6704686e-01, 9.6704674e-01, 7.3604506e-01, 4.1439781e-01, 1.5990359e-01, 3.2606363e-02, -1.4901161e-08]) Plot the window and its frequency response: >>> import matplotlib.pyplot as plt >>> window = np.blackman(51) >>> plt.plot(window.asnumpy()) [<matplotlib.lines.Line2D object at 0x...>] >>> plt.title("blackman window") Text(0.5, 1.0, 'blackman window') >>> plt.ylabel("Amplitude") Text(0, 0.5, 'Amplitude') >>> plt.xlabel("Sample") Text(0.5, 0, 'Sample') >>> plt.show() """ if ctx is None: ctx = current_context() return _npi.blackman(M, dtype=dtype, ctx=ctx) @set_module('mxnet.ndarray.numpy') def flip(m, axis=None, out=None): r""" flip(m, axis=None, out=None) Reverse the order of elements in an array along the given axis. The shape of the array is preserved, but the elements are reordered. Parameters ---------- m : ndarray or scalar Input array. axis : None or int or tuple of ints, optional Axis or axes along which to flip over. The default, axis=None, will flip over all of the axes of the input array. If axis is negative it counts from the last to the first axis. If axis is a tuple of ints, flipping is performed on all of the axes specified in the tuple. out : ndarray or scalar, optional Alternative output array in which to place the result. It must have the same shape and type as the expected output. Returns ------- out : ndarray or scalar A view of `m` with the entries of axis reversed. Since a view is returned, this operation is done in constant time. Examples -------- >>> A = np.arange(8).reshape((2,2,2)) >>> A array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]]) >>> np.flip(A, 0) array([[[4, 5], [6, 7]], [[0, 1], [2, 3]]]) >>> np.flip(A, 1) array([[[2, 3], [0, 1]], [[6, 7], [4, 5]]]) >>> np.flip(A) array([[[7, 6], [5, 4]], [[3, 2], [1, 0]]]) >>> np.flip(A, (0, 2)) array([[[5, 4], [7, 6]], [[1, 0], [3, 2]]]) """ from ...numpy import ndarray if isinstance(m, numeric_types): return _np.flip(m, axis) elif isinstance(m, ndarray): return _npi.flip(m, axis, out=out) else: raise TypeError('type {} not supported'.format(str(type(m)))) @set_module('mxnet.ndarray.numpy') def around(x, decimals=0, out=None, **kwargs): r""" around(x, decimals=0, out=None) Evenly round to the given number of decimals. Parameters ---------- x : ndarray or scalar Input data. decimals : int, optional Number of decimal places to round to (default: 0). If decimals is negative, it specifies the number of positions to the left of the decimal point. out : ndarray, optional Alternative output array in which to place the result. It must have the same shape and type as the expected output. Returns ------- rounded_array : ndarray or scalar An array of the same type as `x`, containing the rounded values. A reference to the result is returned. Notes ----- For values exactly halfway between rounded decimal values, NumPy rounds to the nearest even value. Thus 1.5 and 2.5 round to 2.0, -0.5 and 0.5 round to 0.0, etc. This function differs from the original numpy.prod in the following aspects: - Cannot cast type automatically. Dtype of `out` must be same as the expected one. - Cannot support complex-valued number. Examples -------- >>> np.around([0.37, 1.64]) array([ 0., 2.]) >>> np.around([0.37, 1.64], decimals=1) array([ 0.4, 1.6]) >>> np.around([.5, 1.5, 2.5, 3.5, 4.5]) # rounds to nearest even value array([ 0., 2., 2., 4., 4.]) >>> np.around([1, 2, 3, 11], decimals=1) # ndarray of ints is returned array([ 1, 2, 3, 11]) >>> np.around([1, 2, 3, 11], decimals=-1) array([ 0, 0, 0, 10]) """ from ...numpy import ndarray if isinstance(x, numeric_types): return _np.around(x, decimals, **kwargs) elif isinstance(x, ndarray): return _npi.around(x, decimals, out=out, **kwargs) else: raise TypeError('type {} not supported'.format(str(type(x)))) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def arctan2(x1, x2, out=None, **kwargs): r""" Element-wise arc tangent of ``x1/x2`` choosing the quadrant correctly. The quadrant (i.e., branch) is chosen so that ``arctan2(x1, x2)`` is the signed angle in radians between the ray ending at the origin and passing through the point (1,0), and the ray ending at the origin and passing through the point (`x2`, `x1`). (Note the role reversal: the "`y`-coordinate" is the first function parameter, the "`x`-coordinate" is the second.) By IEEE convention, this function is defined for `x2` = +/-0 and for either or both of `x1` and `x2` = +/-inf (see Notes for specific values). This function is not defined for complex-valued arguments; for the so-called argument of complex values, use `angle`. Parameters ---------- x1 : ndarray or scalar `y`-coordinates. x2 : ndarray or scalar `x`-coordinates. `x2` must be broadcastable to match the shape of `x1` or vice versa. out : ndarray or None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Array of angles in radians, in the range ``[-pi, pi]``. This is a scalar if `x1` and `x2` are scalars. Notes ----- *arctan2* is identical to the `atan2` function of the underlying C library. The following special values are defined in the C standard: [1]_ ====== ====== ================ `x1` `x2` `arctan2(x1,x2)` ====== ====== ================ +/- 0 +0 +/- 0 +/- 0 -0 +/- pi > 0 +/-inf +0 / +pi < 0 +/-inf -0 / -pi +/-inf +inf +/- (pi/4) +/-inf -inf +/- (3*pi/4) ====== ====== ================ Note that +0 and -0 are distinct floating point numbers, as are +inf and -inf. This function differs from the original numpy.arange in the following aspects: - Only support float16, float32 and float64. References ---------- .. [1] ISO/IEC standard 9899:1999, "Programming language C." Examples -------- Consider four points in different quadrants: >>> x = np.array([-1, +1, +1, -1]) >>> y = np.array([-1, -1, +1, +1]) >>> np.arctan2(y, x) * 180 / np.pi array([-135., -45., 45., 135.]) Note the order of the parameters. `arctan2` is defined also when `x2` = 0 and at several other special points, obtaining values in the range ``[-pi, pi]``: >>> x = np.array([1, -1]) >>> y = np.array([0, 0]) >>> np.arctan2(x, y) array([ 1.5707964, -1.5707964]) """ return _ufunc_helper(x1, x2, _npi.arctan2, _np.arctan2, _npi.arctan2_scalar, _npi.rarctan2_scalar, out=out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def hypot(x1, x2, out=None, **kwargs): r""" Given the "legs" of a right triangle, return its hypotenuse. Equivalent to ``sqrt(x1**2 + x2**2)``, element-wise. If `x1` or `x2` is scalar_like (i.e., unambiguously cast-able to a scalar type), it is broadcast for use with each element of the other argument. Parameters ---------- x1, x2 : ndarray Leg of the triangle(s). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. Returns ------- z : ndarray The hypotenuse of the triangle(s). This is a scalar if both `x1` and `x2` are scalars. Notes ----- This function differs from the original numpy.arange in the following aspects: - Only support float16, float32 and float64. Examples -------- >>> np.hypot(3*np.ones((3, 3)), 4*np.ones((3, 3))) array([[ 5., 5., 5.], [ 5., 5., 5.], [ 5., 5., 5.]]) Example showing broadcast of scalar_like argument: >>> np.hypot(3*np.ones((3, 3)), [4]) array([[ 5., 5., 5.], [ 5., 5., 5.], [ 5., 5., 5.]]) """ return _ufunc_helper(x1, x2, _npi.hypot, _np.hypot, _npi.hypot_scalar, None, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def bitwise_xor(x1, x2, out=None, **kwargs): r""" Compute the bit-wise XOR of two arrays element-wise. Parameters ---------- x1, x2 : ndarray or scalar Only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray Result. Examples -------- >>> np.bitwise_xor(13, 17) 28 >>> np.bitwise_xor(31, 5) 26 >>> np.bitwise_xor(np.array([31,3], dtype='int32'), 5) array([26, 6]) >>> np.bitwise_xor(np.array([31,3], dtype='int32'), np.array([5,6], dtype='int32')) array([26, 5]) >>> np.bitwise_xor(np.array([True, True], dtype='bool'), np.array([False, True], dtype='bool')) array([ True, False]) """ return _ufunc_helper(x1, x2, _npi.bitwise_xor, _np.bitwise_xor, _npi.bitwise_xor_scalar, None, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def bitwise_or(x1, x2, out=None, **kwargs): r""" Compute the bit-wise OR of two arrays element-wise. Parameters ---------- x1, x2 : ndarray or scalar Only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray Result. Examples -------- >>> np.bitwise_or(13, 17) 29 >>> np.bitwise_or(31, 5) 31 >>> np.bitwise_or(np.array([31,3], dtype='int32'), 5) array([31, 7]) >>> np.bitwise_or(np.array([31,3], dtype='int32'), np.array([5,6], dtype='int32')) array([31, 7]) >>> np.bitwise_or(np.array([True, True], dtype='bool'), np.array([False, True], dtype='bool')) array([ True, True]) """ return _ufunc_helper(x1, x2, _npi.bitwise_or, _np.bitwise_or, _npi.bitwise_or_scalar, None, out) @set_module('mxnet.ndarray.numpy') @wrap_np_binary_func def ldexp(x1, x2, out=None, **kwargs): """ Returns x1 * 2**x2, element-wise. The mantissas `x1` and twos exponents `x2` are used to construct floating point numbers ``x1 * 2**x2``. Parameters ---------- x1 : ndarray or scalar Array of multipliers. x2 : ndarray or scalar, int Array of twos exponents. out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not, a freshly-allocated array is returned. Returns ------- y : ndarray or scalar The result of ``x1 * 2**x2``. This is a scalar if both `x1` and `x2` are scalars. Notes ----- Complex dtypes are not supported, they will raise a TypeError. Different from numpy, we allow x2 to be float besides int. `ldexp` is useful as the inverse of `frexp`, if used by itself it is more clear to simply use the expression ``x1 * 2**x2``. Examples -------- >>> np.ldexp(5, np.arange(4)) array([ 5., 10., 20., 40.]) """ return _ufunc_helper(x1, x2, _npi.ldexp, _np.ldexp, _npi.ldexp_scalar, _npi.rldexp_scalar, out) @set_module('mxnet.ndarray.numpy') def inner(a, b): r""" Inner product of two arrays. Ordinary inner product of vectors for 1-D arrays (without complex conjugation), in higher dimensions a sum product over the last axes. Parameters ---------- a, b : ndarray If `a` and `b` are nonscalar, their last dimensions must match. Returns ------- out : ndarray `out.shape = a.shape[:-1] + b.shape[:-1]` Raises ------ ValueError If the last dimension of `a` and `b` has different size. See Also -------- tensordot : Sum products over arbitrary axes. dot : Generalised matrix product, using second last dimension of `b`. einsum : Einstein summation convention. Notes ----- For vectors (1-D arrays) it computes the ordinary inner-product:: np.inner(a, b) = sum(a[:]*b[:]) More generally, if `ndim(a) = r > 0` and `ndim(b) = s > 0`:: np.inner(a, b) = np.tensordot(a, b, axes=(-1,-1)) or explicitly:: np.inner(a, b)[i0,...,ir-1,j0,...,js-1] = sum(a[i0,...,ir-1,:]*b[j0,...,js-1,:]) In addition `a` or `b` may be scalars, in which case:: np.inner(a,b) = a*b Examples -------- Ordinary inner product for vectors: >>> a = np.array([1,2,3]) >>> b = np.array([0,1,0]) >>> np.inner(a, b) 2 A multidimensional example: >>> a = np.arange(24).reshape((2,3,4)) >>> b = np.arange(4) >>> np.inner(a, b) array([[ 14, 38, 62], [ 86, 110, 134]]) """ return tensordot(a, b, [-1, -1]) @set_module('mxnet.ndarray.numpy') def outer(a, b): r""" Compute the outer product of two vectors. Given two vectors, ``a = [a0, a1, ..., aM]`` and ``b = [b0, b1, ..., bN]``, the outer product [1]_ is:: [[a0*b0 a0*b1 ... a0*bN ] [a1*b0 . [ ... . [aM*b0 aM*bN ]] Parameters ---------- a : (M,) ndarray First input vector. Input is flattened if not already 1-dimensional. b : (N,) ndarray Second input vector. Input is flattened if not already 1-dimensional. Returns ------- out : (M, N) ndarray ``out[i, j] = a[i] * b[j]`` See also -------- inner einsum : ``einsum('i,j->ij', a.ravel(), b.ravel())`` is the equivalent. ufunc.outer : A generalization to N dimensions and other operations. ``np.multiply.outer(a.ravel(), b.ravel())`` is the equivalent. References ---------- .. [1] : G. H. Golub and C. F. Van Loan, *Matrix Computations*, 3rd ed., Baltimore, MD, Johns Hopkins University Press, 1996, pg. 8. Examples -------- Make a (*very* coarse) grid for computing a Mandelbrot set: >>> rl = np.outer(np.ones((5,)), np.linspace(-2, 2, 5)) >>> rl array([[-2., -1., 0., 1., 2.], [-2., -1., 0., 1., 2.], [-2., -1., 0., 1., 2.], [-2., -1., 0., 1., 2.], [-2., -1., 0., 1., 2.]]) """ return tensordot(a.flatten(), b.flatten(), 0) @set_module('mxnet.ndarray.numpy') def vdot(a, b): r""" Return the dot product of two vectors. Note that `vdot` handles multidimensional arrays differently than `dot`: it does *not* perform a matrix product, but flattens input arguments to 1-D vectors first. Consequently, it should only be used for vectors. Parameters ---------- a : ndarray First argument to the dot product. b : ndarray Second argument to the dot product. Returns ------- output : ndarray Dot product of `a` and `b`. See Also -------- dot : Return the dot product without using the complex conjugate of the first argument. Examples -------- Note that higher-dimensional arrays are flattened! >>> a = np.array([[1, 4], [5, 6]]) >>> b = np.array([[4, 1], [2, 2]]) >>> np.vdot(a, b) 30 >>> np.vdot(b, a) 30 >>> 1*4 + 4*1 + 5*2 + 6*2 30 """ return tensordot(a.flatten(), b.flatten(), 1) @set_module('mxnet.ndarray.numpy') def equal(x1, x2, out=None): """ Return (x1 == x2) element-wise. Parameters ---------- x1, x2 : ndarrays or scalars Input arrays. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array of type bool, element-wise comparison of `x1` and `x2`. This is a scalar if both `x1` and `x2` are scalars. See Also -------- not_equal, greater_equal, less_equal, greater, less Examples -------- >>> np.equal(np.ones(2, 1)), np.zeros(1, 3)) array([[False, False, False], [False, False, False]]) >>> np.equal(1, np.ones(1)) array([ True]) """ return _ufunc_helper(x1, x2, _npi.equal, _np.equal, _npi.equal_scalar, None, out) @set_module('mxnet.ndarray.numpy') def not_equal(x1, x2, out=None): """ Return (x1 != x2) element-wise. Parameters ---------- x1, x2 : ndarrays or scalars Input arrays. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array of type bool, element-wise comparison of `x1` and `x2`. This is a scalar if both `x1` and `x2` are scalars. See Also -------- equal, greater, greater_equal, less, less_equal Examples -------- >>> np.not_equal(np.ones(2, 1)), np.zeros(1, 3)) array([[ True, True, True], [ True, True, True]]) >>> np.not_equal(1, np.ones(1)) array([False]) """ return _ufunc_helper(x1, x2, _npi.not_equal, _np.not_equal, _npi.not_equal_scalar, None, out) @set_module('mxnet.ndarray.numpy') def greater(x1, x2, out=None): """ Return the truth value of (x1 > x2) element-wise. Parameters ---------- x1, x2 : ndarrays or scalars Input arrays. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array of type bool, element-wise comparison of `x1` and `x2`. This is a scalar if both `x1` and `x2` are scalars. See Also -------- equal, greater, greater_equal, less, less_equal Examples -------- >>> np.greater(np.ones(2, 1)), np.zeros(1, 3)) array([[ True, True, True], [ True, True, True]]) >>> np.greater(1, np.ones(1)) array([False]) """ return _ufunc_helper(x1, x2, _npi.greater, _np.greater, _npi.greater_scalar, _npi.less_scalar, out) @set_module('mxnet.ndarray.numpy') def less(x1, x2, out=None): """ Return the truth value of (x1 < x2) element-wise. Parameters ---------- x1, x2 : ndarrays or scalars Input arrays. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array of type bool, element-wise comparison of `x1` and `x2`. This is a scalar if both `x1` and `x2` are scalars. See Also -------- equal, greater, greater_equal, less, less_equal Examples -------- >>> np.less(np.ones(2, 1)), np.zeros(1, 3)) array([[ True, True, True], [ True, True, True]]) >>> np.less(1, np.ones(1)) array([False]) """ return _ufunc_helper(x1, x2, _npi.less, _np.less, _npi.less_scalar, _npi.greater_scalar, out) @set_module('mxnet.ndarray.numpy') def greater_equal(x1, x2, out=None): """ Return the truth value of (x1 >= x2) element-wise. Parameters ---------- x1, x2 : ndarrays or scalars Input arrays. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array of type bool, element-wise comparison of `x1` and `x2`. This is a scalar if both `x1` and `x2` are scalars. See Also -------- equal, greater, greater_equal, less, less_equal Examples -------- >>> np.greater_equal(np.ones(2, 1)), np.zeros(1, 3)) array([[ True, True, True], [ True, True, True]]) >>> np.greater_equal(1, np.ones(1)) array([True]) """ return _ufunc_helper(x1, x2, _npi.greater_equal, _np.greater_equal, _npi.greater_equal_scalar, _npi.less_equal_scalar, out) @set_module('mxnet.ndarray.numpy') def less_equal(x1, x2, out=None): """ Return the truth value of (x1 <= x2) element-wise. Parameters ---------- x1, x2 : ndarrays or scalars Input arrays. If ``x1.shape != x2.shape``, they must be broadcastable to a common shape (which becomes the shape of the output). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated array is returned. Returns ------- out : ndarray or scalar Output array of type bool, element-wise comparison of `x1` and `x2`. This is a scalar if both `x1` and `x2` are scalars. See Also -------- equal, greater, greater_equal, less, less_equal Examples -------- >>> np.less_equal(np.ones(2, 1)), np.zeros(1, 3)) array([[False, False, False], [False, False, False]]) >>> np.less_equal(1, np.ones(1)) array([True]) """ return _ufunc_helper(x1, x2, _npi.less_equal, _np.less_equal, _npi.less_equal_scalar, _npi.greater_equal_scalar, out) @set_module('mxnet.ndarray.numpy') def rot90(m, k=1, axes=(0, 1)): """ Rotate an array by 90 degrees in the plane specified by axes. Rotation direction is from the first towards the second axis. Parameters ---------- m : ndarray Array of two or more dimensions. k : integer Number of times the array is rotated by 90 degrees. axes: (2,) array_like The array is rotated in the plane defined by the axes. Axes must be different. Returns ------- y : ndarray A rotated view of `m`. ----- rot90(m, k=1, axes=(1,0)) is the reverse of rot90(m, k=1, axes=(0,1)) rot90(m, k=1, axes=(1,0)) is equivalent to rot90(m, k=-1, axes=(0,1)) Examples -------- >>> m = np.array([[1,2],[3,4]], 'int') >>> m array([[1, 2], [3, 4]], dtype=int64) >>> np.rot90(m) array([[2, 4], [1, 3]], dtype=int64) >>> np.rot90(m, 2) array([[4, 3], [2, 1]], dtype=int64) >>> m = np.arange(8).reshape((2,2,2)) >>> np.rot90(m, 1, (1,2)) array([[[1., 3.], [0., 2.]], [[5., 7.], [4., 6.]]]) """ return _npi.rot90(m, k=k, axes=axes) @set_module('mxnet.ndarray.numpy') def einsum(*operands, **kwargs): r""" einsum(subscripts, *operands, out=None, optimize=False) Evaluates the Einstein summation convention on the operands. Using the Einstein summation convention, many common multi-dimensional, linear algebraic array operations can be represented in a simple fashion. In *implicit* mode `einsum` computes these values. In *explicit* mode, `einsum` provides further flexibility to compute other array operations that might not be considered classical Einstein summation operations, by disabling, or forcing summation over specified subscript labels. See the notes and examples for clarification. Parameters ---------- subscripts : str Specifies the subscripts for summation as comma separated list of subscript labels. An implicit (classical Einstein summation) calculation is performed unless the explicit indicator '->' is included as well as subscript labels of the precise output form. operands : list of ndarray These are the arrays for the operation. out : ndarray, optional If provided, the calculation is done into this array. optimize : {False, True}, optional Controls if intermediate optimization should occur. No optimization will occur if False. Defaults to False. Returns ------- output : ndarray The calculation based on the Einstein summation convention. Notes ----- The Einstein summation convention can be used to compute many multi-dimensional, linear algebraic array operations. `einsum` provides a succinct way of representing these. A non-exhaustive list of these operations, which can be computed by `einsum`, is shown below along with examples: * Trace of an array, :py:func:`np.trace`. * Return a diagonal, :py:func:`np.diag`. * Array axis summations, :py:func:`np.sum`. * Transpositions and permutations, :py:func:`np.transpose`. * Matrix multiplication and dot product, :py:func:`np.matmul` :py:func:`np.dot`. * Vector inner and outer products, :py:func:`np.inner` :py:func:`np.outer`. * Broadcasting, element-wise and scalar multiplication, :py:func:`np.multiply`. * Tensor contractions, :py:func:`np.tensordot`. The subscripts string is a comma-separated list of subscript labels, where each label refers to a dimension of the corresponding operand. Whenever a label is repeated it is summed, so ``np.einsum('i,i', a, b)`` is equivalent to :py:func:`np.inner(a,b) <np.inner>`. If a label appears only once, it is not summed, so ``np.einsum('i', a)`` produces a view of ``a`` with no changes. A further example ``np.einsum('ij,jk', a, b)`` describes traditional matrix multiplication and is equivalent to :py:func:`np.matmul(a,b) <np.matmul>`. Repeated subscript labels in one operand take the diagonal. For example, ``np.einsum('ii', a)`` is equivalent to :py:func:`np.trace(a) <np.trace>`. In *implicit mode*, the chosen subscripts are important since the axes of the output are reordered alphabetically. This means that ``np.einsum('ij', a)`` doesn't affect a 2D array, while ``np.einsum('ji', a)`` takes its transpose. Additionally, ``np.einsum('ij,jk', a, b)`` returns a matrix multiplication, while, ``np.einsum('ij,jh', a, b)`` returns the transpose of the multiplication since subscript 'h' precedes subscript 'i'. In *explicit mode* the output can be directly controlled by specifying output subscript labels. This requires the identifier '->' as well as the list of output subscript labels. This feature increases the flexibility of the function since summing can be disabled or forced when required. The call ``np.einsum('i->', a)`` is like :py:func:`np.sum(a, axis=-1) <np.sum>`, and ``np.einsum('ii->i', a)`` is like :py:func:`np.diag(a) <np.diag>`. The difference is that `einsum` does not allow broadcasting by default. Additionally ``np.einsum('ij,jh->ih', a, b)`` directly specifies the order of the output subscript labels and therefore returns matrix multiplication, unlike the example above in implicit mode. To enable and control broadcasting, use an ellipsis. Default NumPy-style broadcasting is done by adding an ellipsis to the left of each term, like ``np.einsum('...ii->...i', a)``. To take the trace along the first and last axes, you can do ``np.einsum('i...i', a)``, or to do a matrix-matrix product with the left-most indices instead of rightmost, one can do ``np.einsum('ij...,jk...->ik...', a, b)``. When there is only one operand, no axes are summed, and no output parameter is provided, a view into the operand is returned instead of a new array. Thus, taking the diagonal as ``np.einsum('ii->i', a)`` produces a view. The ``optimize`` argument which will optimize the contraction order of an einsum expression. For a contraction with three or more operands this can greatly increase the computational efficiency at the cost of a larger memory footprint during computation. Typically a 'greedy' algorithm is applied which empirical tests have shown returns the optimal path in the majority of cases. 'optimal' is not supported for now. This function differs from the original `numpy.einsum <https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html>`_ in the following way(s): - Does not support 'optimal' strategy - Does not support the alternative subscript like `einsum(op0, sublist0, op1, sublist1, ..., [sublistout])` - Does not produce view in any cases Examples -------- >>> a = np.arange(25).reshape(5,5) >>> b = np.arange(5) >>> c = np.arange(6).reshape(2,3) Trace of a matrix: >>> np.einsum('ii', a) array(60.) Extract the diagonal (requires explicit form): >>> np.einsum('ii->i', a) array([ 0., 6., 12., 18., 24.]) Sum over an axis (requires explicit form): >>> np.einsum('ij->i', a) array([ 10., 35., 60., 85., 110.]) >>> np.sum(a, axis=1) array([ 10., 35., 60., 85., 110.]) For higher dimensional arrays summing a single axis can be done with ellipsis: >>> np.einsum('...j->...', a) array([ 10., 35., 60., 85., 110.]) Compute a matrix transpose, or reorder any number of axes: >>> np.einsum('ji', c) array([[0., 3.], [1., 4.], [2., 5.]]) >>> np.einsum('ij->ji', c) array([[0., 3.], [1., 4.], [2., 5.]]) >>> np.transpose(c) array([[0., 3.], [1., 4.], [2., 5.]]) Vector inner products: >>> np.einsum('i,i', b, b) array(30.) Matrix vector multiplication: >>> np.einsum('ij,j', a, b) array([ 30., 80., 130., 180., 230.]) >>> np.dot(a, b) array([ 30., 80., 130., 180., 230.]) >>> np.einsum('...j,j', a, b) array([ 30., 80., 130., 180., 230.]) Broadcasting and scalar multiplication: >>> np.einsum('..., ...', np.array(3), c) array([[ 0., 3., 6.], [ 9., 12., 15.]]) >>> np.einsum(',ij', np.array(3), c) array([[ 0., 3., 6.], [ 9., 12., 15.]]) >>> np.multiply(3, c) array([[ 0., 3., 6.], [ 9., 12., 15.]]) Vector outer product: >>> np.einsum('i,j', np.arange(2)+1, b) array([[0., 1., 2., 3., 4.], [0., 2., 4., 6., 8.]]) Tensor contraction: >>> a = np.arange(60.).reshape(3,4,5) >>> b = np.arange(24.).reshape(4,3,2) >>> np.einsum('ijk,jil->kl', a, b) array([[4400., 4730.], [4532., 4874.], [4664., 5018.], [4796., 5162.], [4928., 5306.]]) Example of ellipsis use: >>> a = np.arange(6).reshape((3,2)) >>> b = np.arange(12).reshape((4,3)) >>> np.einsum('ki,jk->ij', a, b) array([[10., 28., 46., 64.], [13., 40., 67., 94.]]) >>> np.einsum('ki,...k->i...', a, b) array([[10., 28., 46., 64.], [13., 40., 67., 94.]]) >>> np.einsum('k...,jk', a, b) array([[10., 28., 46., 64.], [13., 40., 67., 94.]]) Chained array operations. For more complicated contractions, speed ups might be achieved by repeatedly computing a 'greedy' path. Performance improvements can be particularly significant with larger arrays: >>> a = np.ones(64).reshape(2,4,8) # Basic `einsum`: ~42.22ms (benchmarked on 3.4GHz Intel Xeon.) >>> for iteration in range(500): ... np.einsum('ijk,ilm,njm,nlk,abc->',a,a,a,a,a) # Greedy `einsum` (faster optimal path approximation): ~0.117ms >>> for iteration in range(500): ... np.einsum('ijk,ilm,njm,nlk,abc->',a,a,a,a,a, optimize=True) """ # Grab non-einsum kwargs; do not optimize by default. optimize_arg = kwargs.pop('optimize', False) out = kwargs.pop('out', None) subscripts = operands[0] operands = operands[1:] return _npi.einsum(*operands, subscripts=subscripts, out=out, optimize=int(optimize_arg)) @set_module('mxnet.ndarray.numpy') def nonzero(a): """ Return the indices of the elements that are non-zero. Returns a tuple of arrays, one for each dimension of `a`, containing the indices of the non-zero elements in that dimension. The values in `a` are always returned in row-major, C-style order. To group the indices by element, rather than dimension, use `argwhere`, which returns a row for each non-zero element. Parameters ---------- a : ndarray Input array. Returns ------- tuple_of_arrays : tuple Indices of elements that are non-zero. See Also -------- ndarray.nonzero : Equivalent ndarray method. Notes ----- While the nonzero values can be obtained with ``a[nonzero(a)]``, it is recommended to use ``x[x.astype(bool)]`` or ``x[x != 0]`` instead, which will correctly handle 0-d arrays. Examples -------- >>> x = np.array([[3, 0, 0], [0, 4, 0], [5, 6, 0]]) >>> x array([[3, 0, 0], [0, 4, 0], [5, 6, 0]], dtype=int32) >>> np.nonzero(x) (array([0, 1, 2, 2], dtype=int64), array([0, 1, 0, 1], dtype=int64)) >>> x[np.nonzero(x)] array([3, 4, 5, 6]) >>> np.transpose(np.stack(np.nonzero(x))) array([[0, 0], [1, 1], [2, 0], [2, 1]], dtype=int64) A common use for ``nonzero`` is to find the indices of an array, where a condition is True. Given an array `a`, the condition `a` > 3 is a boolean array and since False is interpreted as 0, np.nonzero(a > 3) yields the indices of the `a` where the condition is true. >>> a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=np.int32) >>> a > 3 array([[False, False, False], [ True, True, True], [ True, True, True]]) >>> np.nonzero(a > 3) (array([1, 1, 1, 2, 2, 2], dtype=int64), array([0, 1, 2, 0, 1, 2], dtype=int64)) Using this result to index `a` is equivalent to using the mask directly: >>> a[np.nonzero(a > 3)] array([4, 5, 6, 7, 8, 9], dtype=int32) >>> a[a > 3] array([4, 5, 6, 7, 8, 9], dtype=int32) ``nonzero`` can also be called as a method of the array. >>> (a > 3).nonzero() (array([1, 1, 1, 2, 2, 2], dtype=int64), array([0, 1, 2, 0, 1, 2], dtype=int64)) """ out = _npi.nonzero(a).transpose() return tuple([out[i] for i in range(len(out))]) @set_module('mxnet.ndarray.numpy') def shares_memory(a, b, max_work=None): """ Determine if two arrays share memory Parameters ---------- a, b : ndarray Input arrays Returns ------- out : bool See Also -------- may_share_memory Examples -------- >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9])) False This function differs from the original `numpy.shares_memory <https://docs.scipy.org/doc/numpy/reference/generated/numpy.shares_memory.html>`_ in the following way(s): - Does not support `max_work`, it is a dummy argument - Actually it is same as `may_share_memory` in MXNet DeepNumPy """ return _npi.share_memory(a, b).item() @set_module('mxnet.ndarray.numpy') def may_share_memory(a, b, max_work=None): """ Determine if two arrays might share memory A return of True does not necessarily mean that the two arrays share any element. It just means that they *might*. Only the memory bounds of a and b are checked by default. Parameters ---------- a, b : ndarray Input arrays Returns ------- out : bool See Also -------- shares_memory Examples -------- >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9])) False >>> x = np.zeros([3, 4]) >>> np.may_share_memory(x[:,0], x[:,1]) True This function differs from the original `numpy.may_share_memory <https://docs.scipy.org/doc/numpy/reference/generated/numpy.may_share_memory.html>`_ in the following way(s): - Does not support `max_work`, it is a dummy argument - Actually it is same as `shares_memory` in MXNet DeepNumPy """ return _npi.share_memory(a, b).item() @set_module('mxnet.ndarray.numpy') def diff(a, n=1, axis=-1, prepend=None, append=None): # pylint: disable=redefined-outer-name r""" Calculate the n-th discrete difference along the given axis. Parameters ---------- a : ndarray Input array n : int, optional The number of times values are differenced. If zero, the input is returned as-is. axis : int, optional The axis along which the difference is taken, default is the last axis. prepend, append : ndarray, optional Not supported yet Returns ------- diff : ndarray The n-th differences. The shape of the output is the same as a except along axis where the dimension is smaller by n. The type of the output is the same as the type of the difference between any two elements of a. Examples -------- >>> x = np.array([1, 2, 4, 7, 0]) >>> np.diff(x) array([ 1, 2, 3, -7]) >>> np.diff(x, n=2) array([ 1, 1, -10]) >>> x = np.array([[1, 3, 6, 10], [0, 5, 6, 8]]) >>> np.diff(x) array([[2, 3, 4], [5, 1, 2]]) >>> np.diff(x, axis=0) array([[-1, 2, 0, -2]]) Notes ----- Optional inputs `prepend` and `append` are not supported yet """ if (prepend or append): raise NotImplementedError('prepend and append options are not supported yet') return _npi.diff(a, n=n, axis=axis) @set_module('mxnet.ndarray.numpy') def resize(a, new_shape): """ Return a new array with the specified shape. If the new array is larger than the original array, then the new array is filled with repeated copies of `a`. Note that this behavior is different from a.resize(new_shape) which fills with zeros instead of repeated copies of `a`. Parameters ---------- a : ndarray Array to be resized. new_shape : int or tuple of int Shape of resized array. Returns ------- reshaped_array : ndarray The new array is formed from the data in the old array, repeated if necessary to fill out the required number of elements. The data are repeated in the order that they are stored in memory. See Also -------- ndarray.resize : resize an array in-place. Notes ----- Warning: This functionality does **not** consider axes separately, i.e. it does not apply interpolation/extrapolation. It fills the return array with the required number of elements, taken from `a` as they are laid out in memory, disregarding strides and axes. (This is in case the new shape is smaller. For larger, see above.) This functionality is therefore not suitable to resize images, or data where each axis represents a separate and distinct entity. Examples -------- >>> a = np.array([[0, 1], [2, 3]]) >>> np.resize(a, (2, 3)) array([[0., 1., 2.], [3., 0., 1.]]) >>> np.resize(a, (1, 4)) array([[0., 1., 2., 3.]]) >>> np.resize(a,(2, 4)) array([[0., 1., 2., 3.], [0., 1., 2., 3.]]) """ return _npi.resize_fallback(a, new_shape=new_shape) @set_module('mxnet.ndarray.numpy') def nan_to_num(x, copy=True, nan=0.0, posinf=None, neginf=None, **kwargs): """ Replace NaN with zero and infinity with large finite numbers (default behaviour) or with the numbers defined by the user using the `nan`, `posinf` and/or `neginf` keywords. If `x` is inexact, NaN is replaced by zero or by the user defined value in `nan` keyword, infinity is replaced by the largest finite floating point values representable by ``x.dtype`` or by the user defined value in `posinf` keyword and -infinity is replaced by the most negative finite floating point values representable by ``x.dtype`` or by the user defined value in `neginf` keyword. For complex dtypes, the above is applied to each of the real and imaginary components of `x` separately. If `x` is not inexact, then no replacements are made. Parameters ---------- x : ndarray Input data. copy : bool, optional Whether to create a copy of `x` (True) or to replace values in-place (False). The in-place operation only occurs if casting to an array does not require a copy. Default is True. nan : int, float, optional Value to be used to fill NaN values. If no value is passed then NaN values will be replaced with 0.0. posinf : int, float, optional Value to be used to fill positive infinity values. If no value is passed then positive infinity values will be replaced with a very large number. neginf : int, float, optional Value to be used to fill negative infinity values. If no value is passed then negative infinity values will be replaced with a very small (or negative) number. .. versionadded:: 1.13 Returns ------- out : ndarray `x`, with the non-finite values replaced. If `copy` is False, this may be `x` itself. Notes ----- NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity. Examples -------- >>> np.nan_to_num(np.inf) 1.7976931348623157e+308 >>> np.nan_to_num(-np.inf) -1.7976931348623157e+308 >>> np.nan_to_num(np.nan) 0.0 >>> x = np.array([np.inf, -np.inf, np.nan, -128, 128]) >>> np.nan_to_num(x) array([ 3.4028235e+38, -3.4028235e+38, 0.0000000e+00, -1.2800000e+02, 1.2800000e+02]) >>> np.nan_to_num(x, nan=-9999, posinf=33333333, neginf=33333333) array([ 3.3333332e+07, 3.3333332e+07, -9.9990000e+03, -1.2800000e+02, 1.2800000e+02]) >>> y = np.array([[-1, 0, 1],[9999,234,-14222]],dtype="float64")/0 array([[-inf, nan, inf], [ inf, inf, -inf]], dtype=float64) >>> np.nan_to_num(y) array([[-1.79769313e+308, 0.00000000e+000, 1.79769313e+308], [ 1.79769313e+308, 1.79769313e+308, -1.79769313e+308]], dtype=float64) >>> np.nan_to_num(y, nan=111111, posinf=222222) array([[-1.79769313e+308, 1.11111000e+005, 2.22222000e+005], [ 2.22222000e+005, 2.22222000e+005, -1.79769313e+308]], dtype=float64) >>> y array([[-inf, nan, inf], [ inf, inf, -inf]], dtype=float64) >>> np.nan_to_num(y, copy=False, nan=111111, posinf=222222) array([[-1.79769313e+308, 1.11111000e+005, 2.22222000e+005], [ 2.22222000e+005, 2.22222000e+005, -1.79769313e+308]], dtype=float64) >>> y array([[-1.79769313e+308, 1.11111000e+005, 2.22222000e+005], [ 2.22222000e+005, 2.22222000e+005, -1.79769313e+308]], dtype=float64) """ if isinstance(x, numeric_types): return _np.nan_to_num(x, copy, nan, posinf, neginf) elif isinstance(x, NDArray): if x.dtype in ['int8', 'uint8', 'int32', 'int64']: return x if not copy: return _npi.nan_to_num(x, copy=copy, nan=nan, posinf=posinf, neginf=neginf, out=x) return _npi.nan_to_num(x, copy=copy, nan=nan, posinf=posinf, neginf=neginf, out=None) else: raise TypeError('type {} not supported'.format(str(type(x)))) @set_module('mxnet.ndarray.numpy') def where(condition, x=None, y=None): """where(condition, [x, y]) Return elements chosen from `x` or `y` depending on `condition`. .. note:: When only `condition` is provided, this function is a shorthand for ``np.asarray(condition).nonzero()``. The rest of this documentation covers only the case where all three arguments are provided. Parameters ---------- condition : ndarray Where True, yield `x`, otherwise yield `y`. x, y : ndarray Values from which to choose. `x`, `y` and `condition` need to be broadcastable to some shape. `x` and `y` must have the same dtype. Returns ------- out : ndarray An array with elements from `x` where `condition` is True, and elements from `y` elsewhere. Notes ----- If all the arrays are 1-D, `where` is equivalent to:: [xv if c else yv for c, xv, yv in zip(condition, x, y)] Examples -------- >>> a = np.arange(10) >>> a array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.]) >>> np.where(a < 5, a, 10*a) array([ 0., 1., 2., 3., 4., 50., 60., 70., 80., 90.]) This can be used on multidimensional arrays too: >>> cond = np.array([[True, False], [True, True]]) >>> x = np.array([[1, 2], [3, 4]]) >>> y = np.array([[9, 8], [7, 6]]) >>> np.where(cond, x, y) array([[1., 8.], [3., 4.]]) The shapes of x, y, and the condition are broadcast together: >>> x, y = onp.ogrid[:3, :4] >>> x = np.array(x) >>> y = np.array(y) >>> np.where(x < y, x, 10 + y) # both x and 10+y are broadcast array([[10, 0, 0, 0], [10, 11, 1, 1], [10, 11, 12, 2]], dtype=int64) >>> a = np.array([[0, 1, 2], ... [0, 2, 4], ... [0, 3, 6]]) >>> np.where(a < 4, a, np.array(-1)) # -1 is broadcast array([[ 0., 1., 2.], [ 0., 2., -1.], [ 0., 3., -1.]]) """ if x is None and y is None: return nonzero(condition) else: return _npi.where(condition, x, y, out=None)

33.60542

132

0.60842

9c42b290a3ac94594cd5da54fc0574651f40662f

1,265

py

Python

discoreg/registrations/views/webhook.py

PyGotham/discoreg

43bffe1febdf326cbc71f549e1609bcb46258041

[ "Apache-2.0" ]

null

discoreg/registrations/views/webhook.py

PyGotham/discoreg

43bffe1febdf326cbc71f549e1609bcb46258041

[ "Apache-2.0" ]

null

discoreg/registrations/views/webhook.py

PyGotham/discoreg

43bffe1febdf326cbc71f549e1609bcb46258041

[ "Apache-2.0" ]

null

import json import logging import os from django.core.exceptions import ObjectDoesNotExist from django.http import HttpResponse from django.conf import settings from django.views.decorators.csrf import csrf_exempt from ..models import DiscordRole, EmailRole, Registration logger = logging.getLogger(__name__) REGISTRATION_WEBHOOK_TOKEN = settings.REGISTRATION_WEBHOOK_TOKEN @csrf_exempt def webhook_handler(request): if not REGISTRATION_WEBHOOK_TOKEN: raise Exception("No webook token set") if request.META.get("HTTP_AUTHORIZATION") != f"Bearer {REGISTRATION_WEBHOOK_TOKEN}": return HttpResponse("Unauthorized", status=401) payload = json.loads(request.body.decode("utf-8")) logger.warning(payload) default_roles = DiscordRole.objects.filter(assign_by_default=True) try: email_role = EmailRole.objects.get(email__iexact=payload["email"]) except ObjectDoesNotExist: email_role = EmailRole(email=payload["email"].lower()) email_role.save() logger.error(email_role) email_role.discord_roles.add(*default_roles) email_role.save() registration = Registration(email=email_role, reference_id=payload["reference_id"]) registration.save() return HttpResponse(status=201)

30.119048

88

0.762055

d61b3c7be5973a8b9535904f17cfe785a7cf955d

3,142

py

Python

setup.py

fakegit/python-pinyin

a421a83127ee55cba09ecabbf63d0c1bfb3a3aea

[ "MIT" ]

1

2021-12-07T05:58:32.000Z

setup.py

yaffils/python-pinyin

a421a83127ee55cba09ecabbf63d0c1bfb3a3aea

[ "MIT" ]

null

setup.py

yaffils/python-pinyin

a421a83127ee55cba09ecabbf63d0c1bfb3a3aea

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from codecs import open import os import re import sys try: from setuptools import setup except ImportError: from distutils.core import setup current_dir = os.path.dirname(os.path.realpath(__file__)) packages = [ 'pypinyin', 'pypinyin.contrib', 'pypinyin.seg', 'pypinyin.style', ] requirements = [] if sys.version_info[:2] < (2, 7): requirements.append('argparse') if sys.version_info[:2] < (3, 4): requirements.append('enum34') if sys.version_info[:2] < (3, 5): requirements.append('typing') extras_require = { ':python_version<"2.7"': ['argparse'], ':python_version<"3.4"': ['enum34'], ':python_version<"3.5"': ['typing'], } def get_meta(): meta_re = re.compile(r"(?P<name>__\w+__) = '(?P<value>[^']+)'") meta_d = {} with open(os.path.join(current_dir, 'pypinyin/__init__.py'), encoding='utf8') as fp: for match in meta_re.finditer(fp.read()): meta_d[match.group('name')] = match.group('value') return meta_d def long_description(): with open(os.path.join(current_dir, 'README.rst'), encoding='utf8') as fp: return fp.read() meta_d = get_meta() setup( name='pypinyin', version=meta_d['__version__'], description='汉字拼音转换模块/工具.', long_description=long_description(), long_description_content_type='text/x-rst', url='https://github.com/mozillazg/python-pinyin', author=meta_d['__author__'], author_email='mozillazg101@gmail.com', license=meta_d['__license__'], project_urls={ 'Documentation': 'https://pypinyin.readthedocs.io/', 'Source': 'https://github.com/mozillazg/python-pinyin', 'Tracker': 'https://github.com/mozillazg/python-pinyin/issues', }, packages=packages, package_dir={'pypinyin': 'pypinyin'}, include_package_data=True, install_requires=requirements, extras_require=extras_require, python_requires='>=2.6, !=3.0.*, !=3.1.*, !=3.2.*, <4', zip_safe=False, entry_points={ 'console_scripts': [ 'pypinyin = pypinyin.__main__:main', ], }, classifiers=[ 'Development Status :: 5 - Production/Stable', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10', 'Programming Language :: Python :: Implementation :: CPython', 'Programming Language :: Python :: Implementation :: PyPy', 'Topic :: Utilities', 'Topic :: Text Processing', ], keywords='pinyin, 拼音', )

30.504854

71

0.612031

82d5725797e20c223df0582ad44ccf350b29f7ec

1,244

py

Python

lab12/createIndices.py

xehoth/CS110P

120cc8a4ffc97ae75ddeb8b28708641be1672af3

[ "MIT" ]

null

lab12/createIndices.py

xehoth/CS110P

120cc8a4ffc97ae75ddeb8b28708641be1672af3

[ "MIT" ]

null

lab12/createIndices.py

xehoth/CS110P

120cc8a4ffc97ae75ddeb8b28708641be1672af3

[ "MIT" ]

null

import sys import re from pyspark import SparkContext,SparkConf def flatMapFunc(document): """ document[0] is the document ID (distinct for each document) document[1] is a string of all text in that document You will need to modify this code. """ documentID = document[0] words = re.findall(r"\w+", document[1]) return [(f'{v} {documentID}', i) for i, v in enumerate(words)] # def mapFunc(arg): # """ # You may need to modify this code. # """ # return (arg, 1) def reduceFunc(arg1, arg2): """ You may need to modify this code. """ return str(arg1) + " " + str(arg2) def createIndices(file_name, output="spark-wc-out-createIndices"): sc = SparkContext("local[8]", "CreateIndices", conf=SparkConf().set("spark.hadoop.validateOutputSpecs", "false")) file = sc.sequenceFile(file_name) indices = file.flatMap(flatMapFunc) \ .reduceByKey(reduceFunc) \ .sortByKey() # .map(mapFunc) \ indices.coalesce(1).saveAsTextFile(output) """ Do not worry about this """ if __name__ == "__main__": argv = sys.argv if len(argv) == 2: createIndices(argv[1]) else: createIndices(argv[1], argv[2])

26.468085

117

0.614952

606aaa2ff87b1a4b9cd6f99cde611ed630c470cc

4,029

py

Python

alipay/aop/api/request/AlipayInsSceneApplicationQueryRequest.py

articuly/alipay-sdk-python-all

0259cd28eca0f219b97dac7f41c2458441d5e7a6

[ "Apache-2.0" ]

null

alipay/aop/api/request/AlipayInsSceneApplicationQueryRequest.py

articuly/alipay-sdk-python-all

0259cd28eca0f219b97dac7f41c2458441d5e7a6

[ "Apache-2.0" ]

null

alipay/aop/api/request/AlipayInsSceneApplicationQueryRequest.py

articuly/alipay-sdk-python-all

0259cd28eca0f219b97dac7f41c2458441d5e7a6

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import simplejson as json from alipay.aop.api.FileItem import FileItem from alipay.aop.api.constant.ParamConstants import * from alipay.aop.api.domain.AlipayInsSceneApplicationQueryModel import AlipayInsSceneApplicationQueryModel class AlipayInsSceneApplicationQueryRequest(object): def __init__(self, biz_model=None): self._biz_model = biz_model self._biz_content = None self._version = "1.0" self._terminal_type = None self._terminal_info = None self._prod_code = None self._notify_url = None self._return_url = None self._udf_params = None self._need_encrypt = False @property def biz_model(self): return self._biz_model @biz_model.setter def biz_model(self, value): self._biz_model = value @property def biz_content(self): return self._biz_content @biz_content.setter def biz_content(self, value): if isinstance(value, AlipayInsSceneApplicationQueryModel): self._biz_content = value else: self._biz_content = AlipayInsSceneApplicationQueryModel.from_alipay_dict(value) @property def version(self): return self._version @version.setter def version(self, value): self._version = value @property def terminal_type(self): return self._terminal_type @terminal_type.setter def terminal_type(self, value): self._terminal_type = value @property def terminal_info(self): return self._terminal_info @terminal_info.setter def terminal_info(self, value): self._terminal_info = value @property def prod_code(self): return self._prod_code @prod_code.setter def prod_code(self, value): self._prod_code = value @property def notify_url(self): return self._notify_url @notify_url.setter def notify_url(self, value): self._notify_url = value @property def return_url(self): return self._return_url @return_url.setter def return_url(self, value): self._return_url = value @property def udf_params(self): return self._udf_params @udf_params.setter def udf_params(self, value): if not isinstance(value, dict): return self._udf_params = value @property def need_encrypt(self): return self._need_encrypt @need_encrypt.setter def need_encrypt(self, value): self._need_encrypt = value def add_other_text_param(self, key, value): if not self.udf_params: self.udf_params = dict() self.udf_params[key] = value def get_params(self): params = dict() params[P_METHOD] = 'alipay.ins.scene.application.query' params[P_VERSION] = self.version if self.biz_model: params[P_BIZ_CONTENT] = json.dumps(obj=self.biz_model.to_alipay_dict(), use_decimal=True, ensure_ascii=False, sort_keys=True, separators=(',', ':')) if self.biz_content: if hasattr(self.biz_content, 'to_alipay_dict'): params['biz_content'] = json.dumps(obj=self.biz_content.to_alipay_dict(), use_decimal=True, ensure_ascii=False, sort_keys=True, separators=(',', ':')) else: params['biz_content'] = self.biz_content if self.terminal_type: params['terminal_type'] = self.terminal_type if self.terminal_info: params['terminal_info'] = self.terminal_info if self.prod_code: params['prod_code'] = self.prod_code if self.notify_url: params['notify_url'] = self.notify_url if self.return_url: params['return_url'] = self.return_url if self.udf_params: params.update(self.udf_params) return params def get_multipart_params(self): multipart_params = dict() return multipart_params

27.786207

166

0.647803

f6447d99dd5bb61c645da6197780d8ee59bef3bb

891

py

Python

bare_locks/pywin32/win32file.py

psarka/bare-locks

6c04d8209621585f6581170f12534f8c24fa604e

[ "MIT" ]

null

bare_locks/pywin32/win32file.py

psarka/bare-locks

6c04d8209621585f6581170f12534f8c24fa604e

[ "MIT" ]

null

bare_locks/pywin32/win32file.py

psarka/bare-locks

6c04d8209621585f6581170f12534f8c24fa604e

[ "MIT" ]

null

from ctypes import POINTER from ctypes import pointer from ctypes import WinDLL from ctypes.wintypes import BOOL from ctypes.wintypes import DWORD from ctypes.wintypes import HANDLE from bare_locks.pywin32.pywintypes import OVERLAPPED kernel32 = WinDLL('kernel32', use_last_error=True) _ = pointer # Refer: https://docs.microsoft.com/en-us/windows/win32/api/fileapi/nf-fileapi-lockfileex LockFileEx = kernel32.LockFileEx LockFileEx.argtypes = [ HANDLE, DWORD, DWORD, DWORD, DWORD, POINTER(OVERLAPPED), ] LockFileEx.restype = BOOL # Refer: https://docs.microsoft.com/en-us/windows/win32/api/fileapi/nf-fileapi-unlockfile UnlockFileEx = kernel32.UnlockFileEx UnlockFileEx.argtypes = [ HANDLE, DWORD, DWORD, DWORD, POINTER(OVERLAPPED), ] UnlockFileEx.restype = BOOL # Errors/flags GetLastError = kernel32.GetLastError ERROR_LOCK_VIOLATION = 33

22.275

89

0.763187

b6e4170872dc33f549152d2f62bab2cd1878ca00

6,067

py

Python

tests/test.py

TakashiAihara/docker-selenium-arm64

467e189edd40eeaf31320a981fe2f24d28b1e786

[ "RSA-MD", "Apache-1.1" ]

null

tests/test.py

TakashiAihara/docker-selenium-arm64

467e189edd40eeaf31320a981fe2f24d28b1e786

[ "RSA-MD", "Apache-1.1" ]

null

tests/test.py

TakashiAihara/docker-selenium-arm64

467e189edd40eeaf31320a981fe2f24d28b1e786

[ "RSA-MD", "Apache-1.1" ]

null

import os import docker import unittest import logging import sys import random from docker.errors import NotFound # LOGGING # logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s") logger = logging.getLogger(__name__) # Docker Client client = docker.from_env() NAMESPACE = os.environ.get('NAMESPACE') VERSION = os.environ.get('VERSION') USE_RANDOM_USER_ID = os.environ.get('USE_RANDOM_USER_ID') http_proxy = os.environ.get('http_proxy', '') https_proxy = os.environ.get('https_proxy', '') no_proxy = os.environ.get('no_proxy', '') IMAGE_NAME_MAP = { # Hub 'Hub': 'hub', # Chrome Images 'NodeChrome': 'node-chrome', 'StandaloneChrome': 'standalone-chrome', # Firefox Images 'NodeFirefox': 'node-firefox', 'StandaloneFirefox': 'standalone-firefox', } TEST_NAME_MAP = { # Chrome Images 'NodeChrome': 'ChromeTests', 'StandaloneChrome': 'ChromeTests', # Firefox Images 'NodeFirefox': 'FirefoxTests', 'StandaloneFirefox': 'FirefoxTests', } def launch_hub(network_name): """ Launch the hub :return: the hub ID """ logger.info("Launching Hub...") existing_hub = None try: existing_hub = client.containers.get('selenium-hub') except NotFound: pass if existing_hub: logger.debug("hub already exists. removing.") if existing_hub.status == 'running': logger.debug("hub is running. Killing") existing_hub.kill() logger.debug("hub killed") existing_hub.remove() logger.debug("hub removed") ports = {'4442': 4442, '4443': 4443, '4444': 4444} if use_random_user_id: hub_container_id = launch_container('Hub', network=network_name, name="selenium-hub", ports=ports, user=random_user_id) else: hub_container_id = launch_container('Hub', network=network_name, name="selenium-hub", ports=ports) logger.info("Hub Launched") return hub_container_id def create_network(network_name): client.networks.create(network_name, driver="bridge") def prune_networks(): client.networks.prune() def launch_container(container, **kwargs): """ Launch a specific container :param container: :return: the container ID """ # Build the container if it doesn't exist logger.info("Building %s container..." % container) client.images.build(path='../%s' % container, tag="%s/%s:%s" % (NAMESPACE, IMAGE_NAME_MAP[container], VERSION), rm=True) logger.info("Done building %s" % container) # Run the container logger.info("Running %s container..." % container) # Merging env vars environment = { 'http_proxy': http_proxy, 'https_proxy': https_proxy, 'no_proxy': no_proxy, 'HUB_HOST': 'selenium-hub' } container_id = client.containers.run("%s/%s:%s" % (NAMESPACE, IMAGE_NAME_MAP[container], VERSION), detach=True, environment=environment, **kwargs).short_id logger.info("%s up and running" % container) return container_id if __name__ == '__main__': # The container to test against image = sys.argv[1] use_random_user_id = USE_RANDOM_USER_ID == 'true' random_user_id = random.randint(100000,2147483647) if use_random_user_id: logger.info("Running tests with a random user ID -> %s" % random_user_id) standalone = 'standalone' in image.lower() # Flag for failure (for posterity) failed = False logger.info('========== Starting %s Container ==========' % image) if standalone: """ Standalone Configuration """ smoke_test_class = 'StandaloneTest' if use_random_user_id: test_container_id = launch_container(image, ports={'4444': 4444}, user=random_user_id) else: test_container_id = launch_container(image, ports={'4444': 4444}) else: """ Hub / Node Configuration """ smoke_test_class = 'NodeTest' prune_networks() create_network("grid") hub_id = launch_hub("grid") ports = {'5555': 5555} if use_random_user_id: test_container_id = launch_container(image, network='grid', ports=ports, user=random_user_id) else: test_container_id = launch_container(image, network='grid', ports=ports) prune_networks() logger.info('========== / Containers ready to go ==========') try: # Smoke tests logger.info('*********** Running smoke tests %s Tests **********' % image) image_class = "%sTest" % image test_class = getattr(__import__('SmokeTests', fromlist=[smoke_test_class]), smoke_test_class) suite = unittest.TestLoader().loadTestsFromTestCase(test_class) test_runner = unittest.TextTestRunner(verbosity=3) failed = not test_runner.run(suite).wasSuccessful() except Exception as e: logger.fatal(e) failed = True try: # Run Selenium tests logger.info('*********** Running Selenium tests %s Tests **********' % image) test_class = getattr(__import__('SeleniumTests', fromlist=[TEST_NAME_MAP[image]]), TEST_NAME_MAP[image]) suite = unittest.TestLoader().loadTestsFromTestCase(test_class) test_runner = unittest.TextTestRunner(verbosity=3) failed = not test_runner.run(suite).wasSuccessful() except Exception as e: logger.fatal(e) failed = True logger.info("Cleaning up...") test_container = client.containers.get(test_container_id) test_container.kill() test_container.remove() if standalone: logger.info("Standalone Cleaned up") else: # Kill the launched hub hub = client.containers.get(hub_id) hub.kill() hub.remove() logger.info("Hub / Node Cleaned up") if failed: exit(1)

30.034653

127

0.623702

45bedfbf3d37c6c45e8e12cb72e9678ba10a9596

17,393

py

Python

tests/providers/gcp/google_kubernetes_engine_test.py

jovial/PerfKitBenchmarker

ec0b44f3462cedf7e15e4d67263659afaa136162

[ "Apache-2.0" ]

null

tests/providers/gcp/google_kubernetes_engine_test.py

jovial/PerfKitBenchmarker

ec0b44f3462cedf7e15e4d67263659afaa136162

[ "Apache-2.0" ]

null

tests/providers/gcp/google_kubernetes_engine_test.py

jovial/PerfKitBenchmarker

ec0b44f3462cedf7e15e4d67263659afaa136162

[ "Apache-2.0" ]

null

# Copyright 2018 PerfKitBenchmarker Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for perfkitbenchmarker.providers.gcp.google_kubernetes_engine.""" # pylint: disable=not-context-manager import os import unittest from unittest import mock from absl import flags as flgs import contextlib2 from perfkitbenchmarker import container_service from perfkitbenchmarker import data from perfkitbenchmarker import errors from perfkitbenchmarker import vm_util from perfkitbenchmarker.configs import benchmark_config_spec from perfkitbenchmarker.providers.gcp import gce_network from perfkitbenchmarker.providers.gcp import google_kubernetes_engine from perfkitbenchmarker.providers.gcp import util from tests import pkb_common_test_case from six.moves import builtins FLAGS = flgs.FLAGS _COMPONENT = 'test_component' _RUN_URI = 'fake-urn-uri' _NVIDIA_DRIVER_SETUP_DAEMON_SET_SCRIPT = 'https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml' _NVIDIA_UNRESTRICTED_PERMISSIONS_DAEMON_SET = 'nvidia_unrestricted_permissions_daemonset.yml' _INSTANCE_GROUPS_LIST_OUTPUT = ( '../../../tests/data/gcloud_compute_instance_groups_list_instances.json') _NODE_POOLS_LIST_OUTPUT = ( '../../../tests/data/gcloud_container_node_pools_list.json') @contextlib2.contextmanager def patch_critical_objects(stdout='', stderr='', return_code=0, flags=FLAGS): with contextlib2.ExitStack() as stack: flags.gcloud_path = 'gcloud' flags.run_uri = _RUN_URI flags.data_search_paths = '' stack.enter_context(mock.patch(builtins.__name__ + '.open')) stack.enter_context(mock.patch(vm_util.__name__ + '.PrependTempDir')) stack.enter_context(mock.patch(vm_util.__name__ + '.NamedTemporaryFile')) stack.enter_context( mock.patch( util.__name__ + '.GetDefaultProject', return_value='fakeproject')) stack.enter_context( mock.patch( util.__name__ + '.GetDefaultUser', return_value='fakeuser')) stack.enter_context( mock.patch( gce_network.__name__ + '.GceFirewall.GetFirewall', return_value='fakefirewall')) stack.enter_context( mock.patch( gce_network.__name__ + '.GceNetwork.GetNetwork', return_value=gce_network.GceNetwork( gce_network.GceNetworkSpec('fakeproject')))) retval = (stdout, stderr, return_code) issue_command = stack.enter_context( mock.patch(vm_util.__name__ + '.IssueCommand', return_value=retval)) yield issue_command class GoogleKubernetesEngineCustomMachineTypeTestCase( pkb_common_test_case.PkbCommonTestCase): @staticmethod def create_kubernetes_engine_spec(): kubernetes_engine_spec = benchmark_config_spec._ContainerClusterSpec( 'NAME', **{ 'cloud': 'GCP', 'vm_spec': { 'GCP': { 'machine_type': { 'cpus': 4, 'memory': '1024MiB', }, }, }, }) return kubernetes_engine_spec def testCreate(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Create() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('gcloud container clusters create', command_string) self.assertIn('--machine-type custom-4-1024', command_string) class GoogleKubernetesEngineTestCase(pkb_common_test_case.PkbCommonTestCase): @staticmethod def create_kubernetes_engine_spec(): kubernetes_engine_spec = benchmark_config_spec._ContainerClusterSpec( 'NAME', **{ 'cloud': 'GCP', 'vm_spec': { 'GCP': { 'machine_type': 'fake-machine-type', 'zone': 'us-central1-a', 'min_cpu_platform': 'skylake', 'boot_disk_type': 'foo', 'boot_disk_size': 200, 'num_local_ssds': 2, }, }, 'vm_count': 2, }) return kubernetes_engine_spec def testCreate(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Create() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('gcloud container clusters create', command_string) self.assertIn('--num-nodes 2', command_string) self.assertIn('--cluster-ipv4-cidr /19', command_string) self.assertIn('--machine-type fake-machine-type', command_string) self.assertIn('--zone us-central1-a', command_string) self.assertIn('--min-cpu-platform skylake', command_string) self.assertIn('--disk-size 200', command_string) self.assertIn('--disk-type foo', command_string) self.assertIn('--local-ssd-count 2', command_string) def testCreateQuotaExceeded(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects( stderr=""" message=Insufficient regional quota to satisfy request: resource "CPUS": request requires '6400.0' and is short '5820.0'""", return_code=1) as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) with self.assertRaises( errors.Benchmarks.QuotaFailure): cluster._Create() self.assertEqual(issue_command.call_count, 1) def testCreateResourcesExhausted(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects( stderr=""" [ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS]: Instance 'test' creation failed: The zone 'projects/artemis-prod/zones/us-central1-a' does not have enough resources available to fulfill the request.""", return_code=1) as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) with self.assertRaises( errors.Benchmarks.InsufficientCapacityCloudFailure): cluster._Create() self.assertEqual(issue_command.call_count, 1) def testPostCreate(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command, mock.patch.object( container_service, 'RunKubectlCommand') as mock_kubectl_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._PostCreate() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn( 'gcloud container clusters get-credentials pkb-{0}'.format(_RUN_URI), command_string) self.assertIn('KUBECONFIG', issue_command.call_args[1]['env']) self.assertEqual(mock_kubectl_command.call_count, 1) def testDelete(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Delete() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('gcloud container clusters delete pkb-{0}'.format(_RUN_URI), command_string) self.assertIn('--zone us-central1-a', command_string) def testExists(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Exists() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn( 'gcloud container clusters describe pkb-{0}'.format(_RUN_URI), command_string) def testGetResourceMetadata(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) metadata = cluster.GetResourceMetadata() self.assertEqual(issue_command.call_count, 0) self.assertContainsSubset( { 'project': 'fakeproject', 'gce_local_ssd_count': 2, 'gce_local_ssd_interface': 'SCSI', 'machine_type': 'fake-machine-type', 'boot_disk_type': 'foo', 'boot_disk_size': 200, 'cloud': 'GCP', 'cluster_type': 'Kubernetes', 'zone': 'us-central1-a', 'size': 2, 'container_cluster_version': 'latest' }, metadata) def testCidrCalculations(self): self.assertEqual(google_kubernetes_engine._CalculateCidrSize(1), 19) self.assertEqual(google_kubernetes_engine._CalculateCidrSize(16), 19) self.assertEqual(google_kubernetes_engine._CalculateCidrSize(17), 18) self.assertEqual(google_kubernetes_engine._CalculateCidrSize(48), 18) self.assertEqual(google_kubernetes_engine._CalculateCidrSize(49), 17) self.assertEqual(google_kubernetes_engine._CalculateCidrSize(250), 15) class GoogleKubernetesEngineAutoscalingTestCase( pkb_common_test_case.PkbCommonTestCase): @staticmethod def create_kubernetes_engine_spec(): kubernetes_engine_spec = benchmark_config_spec._ContainerClusterSpec( 'NAME', **{ 'cloud': 'GCP', 'vm_spec': { 'GCP': { 'machine_type': 'fake-machine-type', 'zone': 'us-central1-a', }, }, 'min_vm_count': 1, 'vm_count': 2, 'max_vm_count': 30, }) return kubernetes_engine_spec def testCreate(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Create() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('gcloud container clusters create', command_string) self.assertIn('--enable-autoscaling', command_string) self.assertIn('--min-nodes 1', command_string) self.assertIn('--num-nodes 2', command_string) self.assertIn('--max-nodes 30', command_string) self.assertIn('--cluster-ipv4-cidr /18', command_string) def testGetResourceMetadata(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) metadata = cluster.GetResourceMetadata() self.assertEqual(issue_command.call_count, 0) self.assertContainsSubset( { 'project': 'fakeproject', 'cloud': 'GCP', 'cluster_type': 'Kubernetes', 'min_size': 1, 'size': 2, 'max_size': 3 }, metadata) class GoogleKubernetesEngineVersionFlagTestCase( pkb_common_test_case.PkbCommonTestCase): @staticmethod def create_kubernetes_engine_spec(): kubernetes_engine_spec = benchmark_config_spec._ContainerClusterSpec( 'NAME', **{ 'cloud': 'GCP', 'vm_spec': { 'GCP': { 'machine_type': 'fake-machine-type', }, }, }) return kubernetes_engine_spec def testCreateCustomVersion(self): spec = self.create_kubernetes_engine_spec() FLAGS.container_cluster_version = 'fake-version' with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Create() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('--cluster-version fake-version', command_string) def testCreateDefaultVersion(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Create() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('--cluster-version latest', command_string) class GoogleKubernetesEngineWithGpusTestCase( pkb_common_test_case.PkbCommonTestCase): @staticmethod def create_kubernetes_engine_spec(): kubernetes_engine_spec = benchmark_config_spec._ContainerClusterSpec( 'NAME', **{ 'cloud': 'GCP', 'vm_spec': { 'GCP': { 'machine_type': 'fake-machine-type', 'gpu_type': 'k80', 'gpu_count': 2, }, }, 'vm_count': 2, }) return kubernetes_engine_spec def testCreate(self): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._Create() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('gcloud container clusters create', command_string) self.assertIn('--num-nodes 2', command_string) self.assertIn('--machine-type fake-machine-type', command_string) self.assertIn('--accelerator type=nvidia-tesla-k80,count=2', command_string) @mock.patch('perfkitbenchmarker.kubernetes_helper.CreateFromFile') def testPostCreate(self, create_from_file_patch): spec = self.create_kubernetes_engine_spec() with patch_critical_objects() as issue_command, mock.patch.object( container_service, 'RunKubectlCommand') as mock_kubectl_command: cluster = google_kubernetes_engine.GkeCluster(spec) cluster._PostCreate() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn( 'gcloud container clusters get-credentials pkb-{0}'.format(_RUN_URI), command_string) self.assertIn('KUBECONFIG', issue_command.call_args[1]['env']) self.assertEqual(mock_kubectl_command.call_count, 1) expected_args_to_create_from_file = ( _NVIDIA_DRIVER_SETUP_DAEMON_SET_SCRIPT, data.ResourcePath( _NVIDIA_UNRESTRICTED_PERMISSIONS_DAEMON_SET) ) expected_calls = [mock.call(arg) for arg in expected_args_to_create_from_file] # Assert that create_from_file was called twice, # and that the args were as expected (should be the NVIDIA # driver setup daemon set, followed by the # NVIDIA unrestricted permissions daemon set. create_from_file_patch.assert_has_calls(expected_calls) class GoogleKubernetesEngineGetNodesTestCase(GoogleKubernetesEngineTestCase): def testGetInstancesFromInstanceGroups(self): instance_group_name = 'gke-pkb-0c47e6fa-default-pool-167d73ee-grp' path = os.path.join(os.path.dirname(__file__), _INSTANCE_GROUPS_LIST_OUTPUT) output = open(path).read() spec = self.create_kubernetes_engine_spec() with patch_critical_objects(stdout=output) as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) instances = cluster._GetInstancesFromInstanceGroup(instance_group_name) command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn( 'gcloud compute instance-groups list-instances ' 'gke-pkb-0c47e6fa-default-pool-167d73ee-grp', command_string) expected = set([ 'gke-pkb-0c47e6fa-default-pool-167d73ee-hmwk', 'gke-pkb-0c47e6fa-default-pool-167d73ee-t854' ]) self.assertEqual(expected, set(instances)) # order doesn't matter def testGetInstanceGroups(self): path = os.path.join(os.path.dirname(__file__), _NODE_POOLS_LIST_OUTPUT) output = open(path).read() spec = self.create_kubernetes_engine_spec() with patch_critical_objects(stdout=output) as issue_command: cluster = google_kubernetes_engine.GkeCluster(spec) instance_groups = cluster._GetInstanceGroups() command_string = ' '.join(issue_command.call_args[0][0]) self.assertEqual(issue_command.call_count, 1) self.assertIn('gcloud container node-pools list', command_string) self.assertIn('--cluster', command_string) expected = set([ 'gke-pkb-0c47e6fa-default-pool-167d73ee-grp', 'gke-pkb-0c47e6fa-test-efea7796-grp' ]) self.assertEqual(expected, set(instance_groups)) # order doesn't matter if __name__ == '__main__': unittest.main()

38.737194

186

0.685793

ba77555db065a93329bd62fc627f3d25112a835d

490

py

Python

src/helper.py

ypinzon/ClinicalTrialsWGETL

4edd6b6868915ab8e3408f6e8f6e625dd3003d40

[ "Apache-2.0" ]

null

src/helper.py

ypinzon/ClinicalTrialsWGETL

4edd6b6868915ab8e3408f6e8f6e625dd3003d40

[ "Apache-2.0" ]

null

src/helper.py

ypinzon/ClinicalTrialsWGETL

4edd6b6868915ab8e3408f6e8f6e625dd3003d40

[ "Apache-2.0" ]

null

import os def get_fnames(path): list_of_fnames = [] for dirname, dirs, files in os.walk(path, topdown=True): for fname in files: if fname.endswith('.csv'): list_of_fnames.append((os.path.join(dirname, fname), fname)) return list_of_fnames def run_script(spark, scriptname): with open(scriptname, 'r') as script: queries = script.read() queries = queries.split(';')[: -1] for query in queries: spark.sql(query)

25.789474

76

0.618367

fdd78c5e43ef9789ae9bb05559ab277223f084d2

278

py

Python

autodriver/src/autodriver/serialcomm/params.py

rel1c/robocar

6e83391b84873781c839cfc57a9fc1a49f641dbb

[ "MIT" ]

null

autodriver/src/autodriver/serialcomm/params.py

rel1c/robocar

6e83391b84873781c839cfc57a9fc1a49f641dbb

[ "MIT" ]

null

autodriver/src/autodriver/serialcomm/params.py

rel1c/robocar

6e83391b84873781c839cfc57a9fc1a49f641dbb

[ "MIT" ]

null

# File: params.py # Desc: A collection of predefined constants governing control for the car. # Copyright (c) 2020 Adam Peterson SERIAL_PATH = '/dev/ttyACM0' BAUD_RATE = 9600 STEERING_MID = 90 STEERING_MIN = 65 STEERING_MAX = 115 MOTOR_MAX = 255 MOTOR_MIN = 25 DEBUG = True

17.375

75

0.748201

be08191ae114ecdab075b2e379585375feb12a6c

18,822

py

Python

buildscripts/tests/resmokelib/powercycle/test_remote_operations.py

benety/mongo

203430ac9559f82ca01e3cbb3b0e09149fec0835

[ "Apache-2.0" ]

null

buildscripts/tests/resmokelib/powercycle/test_remote_operations.py

benety/mongo

203430ac9559f82ca01e3cbb3b0e09149fec0835

[ "Apache-2.0" ]

null

buildscripts/tests/resmokelib/powercycle/test_remote_operations.py

benety/mongo

203430ac9559f82ca01e3cbb3b0e09149fec0835

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 """Unit test for buildscripts/remote_operations.py. Note - Tests require sshd to be enabled on localhost with paswordless login and can fail otherwise.""" import os import shutil import tempfile import time import unittest from buildscripts.resmokelib.powercycle.lib import remote_operations as rop # pylint: disable=invalid-name,missing-docstring,protected-access class RemoteOperationsTestCase(unittest.TestCase): def setUp(self): self.temp_local_dir = tempfile.mkdtemp() self.temp_remote_dir = tempfile.mkdtemp() self.rop = rop.RemoteOperations(user_host="localhost") self.rop_use_shell = rop.RemoteOperations(user_host="localhost", use_shell=True) self.rop_sh_shell_binary = rop.RemoteOperations(user_host="localhost", shell_binary="/bin/sh") self.rop_ssh_opts = rop.RemoteOperations( user_host="localhost", ssh_connection_options="-v -o ConnectTimeout=10 -o ConnectionAttempts=10") def tearDown(self): shutil.rmtree(self.temp_local_dir, ignore_errors=True) shutil.rmtree(self.temp_remote_dir, ignore_errors=True) class RemoteOperationConnection(RemoteOperationsTestCase): @unittest.skip("Known broken. SERVER-48969 tracks re-enabling.") def runTest(self): self.assertTrue(self.rop.access_established()) ret, buff = self.rop.access_info() self.assertEqual(0, ret) # Invalid host remote_op = rop.RemoteOperations(user_host="badhost") ret, buff = remote_op.access_info() self.assertFalse(remote_op.access_established()) self.assertEqual(255, ret) self.assertIsNotNone(buff) # Valid host with invalid ssh options ssh_connection_options = "-o invalid" remote_op = rop.RemoteOperations(user_host="localhost", ssh_connection_options=ssh_connection_options) ret, buff = remote_op.access_info() self.assertFalse(remote_op.access_established()) self.assertNotEqual(0, ret) self.assertIsNotNone(buff) ssh_options = "--invalid" remote_op = rop.RemoteOperations(user_host="localhost", ssh_options=ssh_options) ret, buff = remote_op.access_info() self.assertFalse(remote_op.access_established()) self.assertNotEqual(0, ret) self.assertIsNotNone(buff) # Valid host with valid ssh options ssh_connection_options = "-v -o ConnectTimeout=10 -o ConnectionAttempts=10" remote_op = rop.RemoteOperations(user_host="localhost", ssh_connection_options=ssh_connection_options) ret, buff = remote_op.access_info() self.assertTrue(remote_op.access_established()) self.assertEqual(0, ret) self.assertIsNotNone(buff) ssh_options = "-v -o ConnectTimeout=10 -o ConnectionAttempts=10" remote_op = rop.RemoteOperations(user_host="localhost", ssh_options=ssh_options) ret, buff = remote_op.access_info() self.assertTrue(remote_op.access_established()) self.assertEqual(0, ret) self.assertIsNotNone(buff) ssh_connection_options = "-v -o ConnectTimeout=10 -o ConnectionAttempts=10" ssh_options = "-t" remote_op = rop.RemoteOperations(user_host="localhost", ssh_connection_options=ssh_connection_options, ssh_options=ssh_options) ret, buff = remote_op.access_info() self.assertTrue(remote_op.access_established()) self.assertEqual(0, ret) self.assertIsNotNone(buff) class RemoteOperationShell(RemoteOperationsTestCase): @unittest.skip("Known broken. SERVER-48969 tracks re-enabling.") def runTest(self): # pylint: disable=too-many-statements # Shell connect ret, buff = self.rop.shell("uname") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_use_shell.shell("uname") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_sh_shell_binary.shell("uname") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop.operation("shell", "uname") self.assertEqual(0, ret) self.assertIsNotNone(buff) # Invalid command ret, buff = self.rop.shell("invalid_command") self.assertNotEqual(0, ret) self.assertIsNotNone(buff) # Multiple commands ret, buff = self.rop.shell("date; whoami; ls") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_use_shell.shell("date; whoami; ls") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_sh_shell_binary.shell("date; whoami; ls") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_ssh_opts.shell("date; whoami; ls") self.assertEqual(0, ret) self.assertIsNotNone(buff) # Command with single quotes ret, buff = self.rop.shell("echo 'hello there' | grep 'hello'") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_use_shell.shell("echo 'hello there' | grep 'hello'") self.assertEqual(0, ret) self.assertIsNotNone(buff) # Multiple commands with escaped single quotes ret, buff = self.rop.shell("echo \"hello \'dolly\'\"; pwd; echo \"goodbye \'charlie\'\"") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_use_shell.shell( "echo \"hello \'dolly\'\"; pwd; echo \"goodbye \'charlie\'\"") self.assertEqual(0, ret) self.assertIsNotNone(buff) # Command with escaped double quotes ret, buff = self.rop.shell("echo \"hello there\" | grep \"hello\"") self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_use_shell.shell("echo \"hello there\" | grep \"hello\"") self.assertEqual(0, ret) self.assertIsNotNone(buff) # Command with directory and pipe ret, buff = self.rop.shell("touch {dir}/{file}; ls {dir} | grep {file}".format( file=time.time(), dir="/tmp")) self.assertEqual(0, ret) self.assertIsNotNone(buff) ret, buff = self.rop_use_shell.shell("touch {dir}/{file}; ls {dir} | grep {file}".format( file=time.time(), dir="/tmp")) self.assertEqual(0, ret) self.assertIsNotNone(buff) class RemoteOperationCopyTo(RemoteOperationsTestCase): @unittest.skip("Known broken. SERVER-48969 tracks re-enabling.") def runTest(self): # pylint: disable=too-many-statements # Copy to remote l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop.copy_to(l_temp_path, self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(self.temp_remote_dir, l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop_use_shell.copy_to(l_temp_path, self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(self.temp_remote_dir, l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop.operation("copy_to", l_temp_path, self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) self.assertTrue(os.path.isfile(r_temp_path)) l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop_ssh_opts.operation("copy_to", l_temp_path, self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) self.assertTrue(os.path.isfile(r_temp_path)) # Copy multiple files to remote num_files = 3 l_temp_files = [] for i in range(num_files): l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) l_temp_files.append(l_temp_path) ret, buff = self.rop.copy_to(" ".join(l_temp_files), self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) for i in range(num_files): r_temp_path = os.path.join(self.temp_remote_dir, os.path.basename(l_temp_files[i])) self.assertTrue(os.path.isfile(r_temp_path)) num_files = 3 l_temp_files = [] for i in range(num_files): l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) l_temp_files.append(l_temp_path) ret, buff = self.rop_use_shell.copy_to(" ".join(l_temp_files), self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) for i in range(num_files): r_temp_path = os.path.join(self.temp_remote_dir, os.path.basename(l_temp_files[i])) self.assertTrue(os.path.isfile(r_temp_path)) # Copy to remote without directory l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop.copy_to(l_temp_path) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(os.environ["HOME"], l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) os.remove(r_temp_path) l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop_use_shell.copy_to(l_temp_path) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(os.environ["HOME"], l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) os.remove(r_temp_path) # Copy to remote with space in file name, note it must be quoted. l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir, prefix="filename with space")[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop.copy_to("'{}'".format(l_temp_path)) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(os.environ["HOME"], l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) os.remove(r_temp_path) l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir, prefix="filename with space")[1] l_temp_file = os.path.basename(l_temp_path) ret, buff = self.rop_use_shell.copy_to("'{}'".format(l_temp_path)) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(os.environ["HOME"], l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) os.remove(r_temp_path) # Valid scp options l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] l_temp_file = os.path.basename(l_temp_path) scp_options = "-l 5000" remote_op = rop.RemoteOperations(user_host="localhost", scp_options=scp_options) ret, buff = remote_op.copy_to(l_temp_path, self.temp_remote_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) r_temp_path = os.path.join(self.temp_remote_dir, l_temp_file) self.assertTrue(os.path.isfile(r_temp_path)) # Invalid scp options l_temp_path = tempfile.mkstemp(dir=self.temp_local_dir)[1] scp_options = "--invalid" remote_op = rop.RemoteOperations(user_host="localhost", scp_options=scp_options) ret, buff = remote_op.copy_to(l_temp_path, self.temp_remote_dir) self.assertNotEqual(0, ret) self.assertIsNotNone(buff) class RemoteOperationCopyFrom(RemoteOperationsTestCase): @unittest.skip("Known broken. SERVER-48969 tracks re-enabling.") def runTest(self): # pylint: disable=too-many-statements # Copy from remote r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) ret, buff = self.rop.copy_from(r_temp_path, self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) l_temp_path = os.path.join(self.temp_local_dir, r_temp_file) self.assertTrue(os.path.isfile(l_temp_path)) r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) ret, buff = self.rop_use_shell.copy_from(r_temp_path, self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) l_temp_path = os.path.join(self.temp_local_dir, r_temp_file) self.assertTrue(os.path.isfile(l_temp_path)) r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) ret, buff = self.rop_ssh_opts.copy_from(r_temp_path, self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) l_temp_path = os.path.join(self.temp_local_dir, r_temp_file) self.assertTrue(os.path.isfile(l_temp_path)) # Copy from remote without directory r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) ret, buff = self.rop.copy_from(r_temp_path) self.assertEqual(0, ret) self.assertIsNotNone(buff) self.assertTrue(os.path.isfile(r_temp_file)) os.remove(r_temp_file) r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) ret, buff = self.rop_use_shell.copy_from(r_temp_path) self.assertEqual(0, ret) self.assertIsNotNone(buff) self.assertTrue(os.path.isfile(r_temp_file)) os.remove(r_temp_file) # Copy from remote with space in file name, note it must be quoted. r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir, prefix="filename with space")[1] r_temp_file = os.path.basename(r_temp_path) ret, buff = self.rop.copy_from("'{}'".format(r_temp_path)) self.assertEqual(0, ret) self.assertIsNotNone(buff) self.assertTrue(os.path.isfile(r_temp_file)) os.remove(r_temp_file) # Copy multiple files from remote num_files = 3 r_temp_files = [] for i in range(num_files): r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) r_temp_files.append(r_temp_path) ret, buff = self.rop.copy_from(" ".join(r_temp_files), self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) for i in range(num_files): basefile_name = os.path.basename(r_temp_files[i]) l_temp_path = os.path.join(self.temp_local_dir, basefile_name) self.assertTrue(os.path.isfile(l_temp_path)) num_files = 3 r_temp_files = [] for i in range(num_files): r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) r_temp_files.append(r_temp_path) ret, buff = self.rop_use_shell.copy_from(" ".join(r_temp_files), self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) for i in range(num_files): basefile_name = os.path.basename(r_temp_files[i]) l_temp_path = os.path.join(self.temp_local_dir, basefile_name) self.assertTrue(os.path.isfile(l_temp_path)) # Copy files from remote with wilcard num_files = 3 r_temp_files = [] for i in range(num_files): r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir, prefix="wild1")[1] r_temp_file = os.path.basename(r_temp_path) r_temp_files.append(r_temp_path) r_temp_path = os.path.join(self.temp_remote_dir, "wild1*") ret, buff = self.rop.copy_from(r_temp_path, self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) for i in range(num_files): l_temp_path = os.path.join(self.temp_local_dir, os.path.basename(r_temp_files[i])) self.assertTrue(os.path.isfile(l_temp_path)) num_files = 3 r_temp_files = [] for i in range(num_files): r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir, prefix="wild2")[1] r_temp_file = os.path.basename(r_temp_path) r_temp_files.append(r_temp_path) r_temp_path = os.path.join(self.temp_remote_dir, "wild2*") ret, buff = self.rop_use_shell.copy_from(r_temp_path, self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) for i in range(num_files): l_temp_path = os.path.join(self.temp_local_dir, os.path.basename(r_temp_files[i])) self.assertTrue(os.path.isfile(l_temp_path)) # Local directory does not exist. self.assertRaises(ValueError, lambda: self.rop_use_shell.copy_from(r_temp_path, "bad_dir")) # Valid scp options r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] r_temp_file = os.path.basename(r_temp_path) scp_options = "-l 5000" remote_op = rop.RemoteOperations(user_host="localhost", scp_options=scp_options) ret, buff = remote_op.copy_from(r_temp_path, self.temp_local_dir) self.assertEqual(0, ret) self.assertIsNotNone(buff) l_temp_path = os.path.join(self.temp_local_dir, r_temp_file) self.assertTrue(os.path.isfile(l_temp_path)) # Invalid scp options r_temp_path = tempfile.mkstemp(dir=self.temp_remote_dir)[1] scp_options = "--invalid" remote_op = rop.RemoteOperations(user_host="localhost", scp_options=scp_options) ret, buff = remote_op.copy_from(r_temp_path, self.temp_local_dir) self.assertNotEqual(0, ret) self.assertIsNotNone(buff) class RemoteOperation(RemoteOperationsTestCase): @unittest.skip("Known broken. SERVER-48969 tracks re-enabling.") def runTest(self): # Invalid operation self.assertRaises(ValueError, lambda: self.rop.operation("invalid", None))

43.070938

99

0.660769

8fca4f48c08246213c34d8d4508c87622d4ff97d

665

py

Python

manage.py

bitbloxhub/shorttalk

5adb79ddda2d32077e5a5b666df2f084aa883c2c

[ "0BSD" ]

null

manage.py

bitbloxhub/shorttalk

5adb79ddda2d32077e5a5b666df2f084aa883c2c

[ "0BSD" ]

null

manage.py

bitbloxhub/shorttalk

5adb79ddda2d32077e5a5b666df2f084aa883c2c

[ "0BSD" ]

null

#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'shorttalk.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

28.913043

73

0.679699

e880f2c3ae1ab86c40ae7211041248107061808e

13,308

py

Python

cassiopeia/core/common.py

mikaeldui/cassiopeia

fb22e0dd2c71ae5e14c046379e49c8a44215e79d

[ "MIT" ]

null

cassiopeia/core/common.py

mikaeldui/cassiopeia

fb22e0dd2c71ae5e14c046379e49c8a44215e79d

[ "MIT" ]

null

cassiopeia/core/common.py

mikaeldui/cassiopeia

fb22e0dd2c71ae5e14c046379e49c8a44215e79d

[ "MIT" ]

null

from abc import abstractmethod, abstractclassmethod import types from typing import Mapping, Set, Union, Optional, Type, Generator import functools import logging from enum import Enum import arrow import datetime import inspect from merakicommons.ghost import Ghost, ghost_load_on as _ghost_load_on from merakicommons.container import SearchableLazyList from .. import configuration from ..data import Region, Platform import json # Can't use ujson here because of the encoder LOGGER = logging.getLogger("core") def ghost_load_on(method): return _ghost_load_on(AttributeError)(method) def get_latest_version(region: Union[Region, str], endpoint: Optional[str]): from .staticdata.realm import Realms if endpoint is not None: return Realms(region=region).latest_versions[endpoint] else: return Realms(region=region).version class CoreData(object): @property @abstractclassmethod def _renamed(cls) -> Mapping[str, str]: pass def __init__(self, **kwargs): self(**kwargs) def __call__(self, **kwargs): for key, value in kwargs.items(): new_key = self._renamed.get(key, key) setattr(self, new_key, value) return self def to_dict(self): d = {} attrs = {attrname for attrname in dir(self)} - { attrname for attrname in dir(self.__class__) } for attr in attrs: v = getattr(self, attr) if isinstance(v, CoreData): v = v.to_dict() elif hasattr(v, "__iter__") and not isinstance(v, str): if isinstance(v, dict): new_v = {} for k, vi in v.items(): if isinstance(vi, CoreData): new_v[k] = vi.to_dict() else: new_v[k] = vi v = new_v else: v = [vi.to_dict() if isinstance(vi, CoreData) else vi for vi in v] d[attr] = v return d class CoreDataList(list, CoreData): def __str__(self): return list.__str__(self) def __init__(self, *args, **kwargs): list.__init__(self, *args) CoreData.__init__(self, **kwargs) class CassiopeiaObject(object): _renamed = {} def __init__(self, **kwargs): # Note: Dto names are not allowed to be passed in. self._data = {_type: None for _type in self._data_types} # Re-implement __call__ code here so that __call__ can be overridden in subclasses results = {_type: {} for _type in self._data_types} found = False for key, value in kwargs.items(): # We don't know which type to put the piece of data under, so put it in any type that supports this key for _type in self._data_types: if issubclass(_type, CoreData) or key in dir(_type): results[_type][key] = value found = True if not found: # The user passed in a value that we don't know anything about -- raise a warning. LOGGER.warning( "When initializing {}, key `{}` is not in type(s) {}. Not set.".format( self.__class__.__name__, key, self._data_types ) ) # Now that we've parsed the data and know where to put it all, we can update our data. for _type, insert_this in results.items(): if self._data[_type] is not None: self._data[_type] = self._data[_type](**insert_this) else: self._data[_type] = _type(**insert_this) def __str__(self) -> str: # This is a bit strange because we'll print a list of dict-like objects rather than one joined dict, but we've decided it's appropriate. result = {} for _type, data in self._data.items(): result[str(_type)] = str(data) return str(result).replace("\\'", "'") @property @abstractclassmethod def _data_types(cls) -> Set[type]: """The `CoreData`_ types that belongs to this core type.""" pass @classmethod def from_data(cls, data: CoreData): assert data is not None self = cls() if data.__class__ not in self._data_types: raise TypeError( "Wrong data type '{}' passed to '{}.from_data'".format( data.__class__.__name__, self.__class__.__name__ ) ) self._data[data.__class__] = data return self def __call__(self, **kwargs) -> "CassiopeiaObject": """Updates `self` with `kwargs` and returns `self`. Useful for updating default API parameters, for example: for champion in cass.get_champions(): champion(champData={"tags"}).tags # only pulls the tag data """ # Update underlying data and deconstruct any Enums the user passed in. results = {_type: {} for _type in self._data_types} found = False for key, value in kwargs.items(): # We don't know which type to put the piece of data under, so put it in any type that supports this key for _type in self._data_types: if issubclass(_type, CoreData) or key in dir(_type): results[_type][key] = value found = True if not found: # The user passed in a value that we don't know anything about -- raise a warning. LOGGER.warning( "When initializing {}, key `{}` is not in type(s) {}. Not set.".format( self.__class__.__name__, key, self._data_types ) ) # Now that we've parsed the data and know where to put it all, we can update our data. for _type, insert_this in results.items(): if self._data[_type] is not None: self._data[_type] = self._data[_type](**insert_this) else: self._data[_type] = _type(**insert_this) return self def to_dict(self): d = {} for data_type in self._data_types: new = self._data[data_type].to_dict() d.update(new) return d def to_json(self, **kwargs): return json.dumps(self.to_dict(), cls=CassiopeiaJsonEncoder, **kwargs) def __json__(self, **kwargs): return self.to_json(**kwargs) class GetFromPipeline(type): def __call__(cls: "CassiopeiaPipelineObject", *args, **kwargs): pipeline = configuration.settings.pipeline query = cls.__get_query_from_kwargs__(**kwargs) if ( hasattr(cls, "version") and query.get("version", None) is None and cls.__name__ not in ["Realms", "Match"] ): query["version"] = get_latest_version(region=query["region"], endpoint=None) return pipeline.get(cls, query=query) class CassiopeiaPipelineObject(CassiopeiaObject, metaclass=GetFromPipeline): @classmethod def _construct_normally(cls, *args, **kwargs) -> "CassiopeiaObject": # cls.__class__ will be this class's metaclass (GetFromPipeline), so supering that will find the metaclass's # class, which is `type` in this case. Then `type`'s `__call__` will be called. # This has the effect of skipping the GetFromPipeline instantiation, and defaulting to the normal class # instantiation for the class. # TODO I don't know how to handle includedData -> included_data for core... if "includedData" in kwargs: kwargs["included_data"] = kwargs.pop("includedData") return super(cls.__class__, cls).__call__(*args, **kwargs) @abstractmethod def __get_query__(self): pass @classmethod def __get_query_from_kwargs__(cls, **kwargs): return kwargs def __hash__(self): stuff = sorted(self.__get_query__().items()) for i, (key, value) in enumerate(stuff): if isinstance(value, set): stuff[i] = (key, tuple(value)) return hash(tuple(stuff)) def __eq__(self, other: "CassiopeiaPipelineObject") -> bool: if not isinstance(other, self.__class__): # Using isinstance here seems bad return False else: return hash(self) == hash(other) def __ne__(self, other: "CassiopeiaPipelineObject") -> bool: return not self == other class CassiopeiaGhost(CassiopeiaPipelineObject, Ghost): def load(self, load_groups: Set = None) -> "CassiopeiaGhost": if load_groups is None: load_groups = self._Ghost__load_groups if self._Ghost__all_loaded: return self self.__load__() for load_group in load_groups: self._Ghost__set_loaded( load_group ) # __load__ doesn't trigger __set_loaded. return self def __load__(self, load_group: CoreData = None, load_groups: Set = None) -> None: if load_groups is None: load_groups = self._Ghost__load_groups if load_group is None: # Load all groups if self._Ghost__all_loaded: raise ValueError("object has already been loaded.") for group in load_groups: if not self._Ghost__is_loaded(group): self.__load__(group) else: # Load the specific load group if self._Ghost__is_loaded(load_group): raise ValueError("object has already been loaded.") query = self.__get_query__() if ( hasattr(self.__class__, "version") and "version" not in query and self.__class__.__name__ not in ["Realms", "Match"] ): query["version"] = get_latest_version( region=query["region"], endpoint=None ) data = configuration.settings.pipeline.get( type=self._load_types[load_group], query=query ) self.__load_hook__(load_group, data) @property def _load_types(cls): return {t: t for t in cls._data_types} @property def _load_type(cls): return cls @classmethod def from_data( cls, data: CoreData, loaded_groups: Optional[Set[Type[CoreData]]] = None ): assert data is not None # Manually skip the CheckCache (well, all metaclass' __call__s) for ghost objects if they are # created via this constructor. self = cls._construct_normally() # Make spots for the data and put it in self._data = {_type: None for _type in self._data_types} if data.__class__ not in self._data_types: raise TypeError( "Wrong data type '{}' passed to '{}.from_data'".format( data.__class__.__name__, self.__class__.__name__ ) ) self._data[data.__class__] = data # Set as loaded if loaded_groups is None: for load_group in self._Ghost__load_groups: self._Ghost__set_loaded(load_group) else: for load_group in loaded_groups: self._Ghost__set_loaded(load_group) return self def __load_hook__(self, load_group: CoreData, data: CoreData) -> None: if not isinstance(data, CoreData): raise TypeError( "expected subclass of CoreData, got {cls}".format(cls=data.__class__) ) self._data[load_group] = data class CassiopeiaLazyList(SearchableLazyList, CassiopeiaPipelineObject): def __init__(self, *args, **kwargs): if "generator" in kwargs: generator = kwargs.pop("generator") else: if len(args) == 1 and isinstance(args[0], types.GeneratorType): generator = args[0] else: def generator(*args): for arg in args: yield arg generator = generator(args) SearchableLazyList.__init__(self, generator) # Something feels very wrong; this is meant to work with MatchHistory.from_generator if self.__class__ is not CassiopeiaLazyList: self.__init__(**kwargs) else: CassiopeiaObject.__init__(self, **kwargs) @classmethod def from_data(cls, *args, **kwargs): return cls._construct_normally(*args, **kwargs) @classmethod def from_generator(cls, generator: Generator, **kwargs): self = cls.__new__(cls) CassiopeiaLazyList.__init__(self, generator=generator, **kwargs) return self def __hash__(self): return id(self) def __str__(self): return SearchableLazyList.__str__(self) class CassiopeiaJsonEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, Enum): return obj.name elif isinstance(obj, (datetime.datetime, arrow.Arrow)): return obj.isoformat() elif isinstance(obj, datetime.timedelta): return obj.seconds return json.JSONEncoder.default(self, obj)

36.163043

144

0.592876

06be20eddfdbb8f127ad0de90c3d9e742d293f5a

2,275

py

Python

extensions/music.py

ggoncalopereira/JBB.py

e66419466cc6d35e134cceb8c8ad48102556658b

[ "MIT" ]

null

extensions/music.py

ggoncalopereira/JBB.py

e66419466cc6d35e134cceb8c8ad48102556658b

[ "MIT" ]

null

extensions/music.py

ggoncalopereira/JBB.py

e66419466cc6d35e134cceb8c8ad48102556658b

[ "MIT" ]

1

2020-12-10T23:08:52.000Z

import discord from discord.ext import commands import json import subprocess class Music(commands.Cog): """Play all great classics""" def __init__(self, bot): self.bot = bot @commands.command(name='play', description="play a given music", brief="play a given music") async def play(self, ctx, music): #play a mp3 file #check if user in voice channel if ctx.message.author.voice_channel: music = music.lower() #check if requested music exists if music in self.bot.musicMap: #if bot is not connected to voice channel connect if self.bot.voice_client == None: voice = await self.bot.join_voice_channel(ctx.message.author.voice_channel) self.bot.voice_client = voice #if bot is connected and is playing dont play if self.bot.player_client != None and self.bot.player_client.is_playing(): await ctx.send("Already Playing") else: #create player and play file player = self.bot.voice_client.create_ffmpeg_player(self.bot.MUSIC_PATH + self.bot.musicMap[music]) self.bot.player_client = player player.start() else: await ctx.send("Invalid Music") else: await ctx.send("You're not in a voice channel") @commands.command(name='stop', description="stop music and leave voice channel", brief="stop music") async def stop(self, ctx): appInfo = await self.bot.application_info() #check if user in voice channel if ctx.message.author.voice_channel: #cheack if bot in voice channel if self.bot.voice_client: #disconnect await self.bot.voice_client.disconnect() self.bot.voice_client = None self.bot.player_client = None else: await ctx.send(appInfo.name + " not in a voice channel") else: await ctx.send("You're not in a voice channel") def setup(bot): bot.add_cog(Music(bot))

39.224138

119

0.565714

e983c856f1a3e6159aed10233248b08b33f282c9

3,678

py

Python

moveit_planners/pilz_industrial_motion_planner/test/unit_tests/launch/common_parameters.py

corycrean/moveit2

86a24a494264045883119c41a02188735f025f40

[ "BSD-3-Clause" ]

1

2021-12-15T17:09:31.000Z

moveit_planners/pilz_industrial_motion_planner/test/unit_tests/launch/common_parameters.py

corycrean/moveit2

86a24a494264045883119c41a02188735f025f40

[ "BSD-3-Clause" ]

2

2021-08-24T15:45:42.000Z

2021-09-21T15:29:18.000Z

moveit_planners/pilz_industrial_motion_planner/test/unit_tests/launch/common_parameters.py

corycrean/moveit2

86a24a494264045883119c41a02188735f025f40

[ "BSD-3-Clause" ]

null

from ament_index_python.packages import get_package_share_directory import xacro import yaml import os # TODO(henningkayser): Switch to ParameterBuilder once #591 is merged # from moveit_configs_utils import MoveItConfigsBuilder # from parameter_builder import ParameterBuilder def _load_file(package_name, file_path): package_path = get_package_share_directory(package_name) absolute_file_path = os.path.join(package_path, file_path) try: with open(absolute_file_path, "r") as file: return file.read() except EnvironmentError: # parent of IOError, OSError *and* WindowsError where available return None def load_yaml(package_name, file_path): # TODO(henningkayser): Switch to ParameterBuilder once #591 is merged # return ( # ParameterBuilder(package_name) # .yaml(file_path) # .to_dict() # ) package_path = get_package_share_directory(package_name) absolute_file_path = os.path.join(package_path, file_path) try: with open(absolute_file_path, "r") as file: return yaml.safe_load(file) except EnvironmentError: # parent of IOError, OSError *and* WindowsError where available return None class MoveItConfigs: robot_description = {} robot_description_semantic = {} robot_description_kinematics = {} robot_description_planning = {} planning_plugin = {} def load_moveit_config(): moveit_config_package_name = "moveit_resources_prbt_moveit_config" description_package_name = "moveit_resources_prbt_support" description_xacro_file = "urdf/prbt.xacro" robot_description_semantic_file = "config/prbt.srdf.xacro" robot_description_kinematics_file = "config/kinematics.yaml" joint_limits_file = "config/joint_limits.yaml" cartesian_limits_file = "config/cartesian_limits.yaml" # TODO(henningkayser): Switch to MoveItConfigsBuilder once #591 is merged # return ( # MoveItConfigsBuilder(moveit_config_package_name) # .robot_description( # file_path=get_package_share_directory(description_package_name) # + "/" + description_xacro_file # ) # .robot_description_semantic(file_path=robot_description_semantic_file) # .robot_description_kinematics(file_path=robot_description_kinematics_file) # .joint_limits(file_path=joint_limits_file) # .cartesian_limits(file_path=cartesian_limits_file) # .to_moveit_configs() # ) configs = MoveItConfigs() # planning_context robot_description = xacro.process_file( os.path.join( get_package_share_directory(description_package_name), description_xacro_file, ) ) configs.robot_description = {"robot_description": robot_description.toxml()} semantic_xacro = xacro.process_file( os.path.join( get_package_share_directory(moveit_config_package_name), robot_description_semantic_file, ) ) configs.robot_description_semantic = { "robot_description_semantic": semantic_xacro.toxml() } configs.robot_description_kinematics = { "robot_description_kinematics": load_yaml( moveit_config_package_name, robot_description_kinematics_file ) } configs.robot_description_planning = { "robot_description_planning": { **load_yaml(moveit_config_package_name, joint_limits_file), **load_yaml(moveit_config_package_name, cartesian_limits_file), } } planning_plugin = { "planning_plugin": "pilz_industrial_motion_planner::CommandPlanner" } return configs

33.436364

93

0.71615

a44467d56fed39f2693f5f9bc4859eada0839769

179

py

Python

python_data_utils/spark/ml/__init__.py

surajiyer/python-data-utils

d6e9bf81204a01545a3edb165c5724eb24f37c18

[ "MIT" ]

4

2019-01-06T00:09:21.000Z

2022-01-28T06:03:13.000Z

python_data_utils/spark/ml/__init__.py

surajiyer/python-data-utils

d6e9bf81204a01545a3edb165c5724eb24f37c18

[ "MIT" ]

null

python_data_utils/spark/ml/__init__.py

surajiyer/python-data-utils

d6e9bf81204a01545a3edb165c5724eb24f37c18

[ "MIT" ]

null

from .base import ( BaseCVModel, BinaryClassCVModel, RegressionCVModel ) from .randomforest import RandomForestBinaryModel from .lightgbm import LightGBMRegressorModel

25.571429

49

0.810056

4a6a9225598aba55db4d996e3e02ff7d085cfe9d

460

py

Python

test/test_files.py

USGS-EROS/lcmap-merlin

692568e7e8e0bbb236e6e801b90abde8be8a05ea

[ "Unlicense" ]

null

test/test_files.py

USGS-EROS/lcmap-merlin

692568e7e8e0bbb236e6e801b90abde8be8a05ea

[ "Unlicense" ]

null

test/test_files.py

USGS-EROS/lcmap-merlin

692568e7e8e0bbb236e6e801b90abde8be8a05ea

[ "Unlicense" ]

3

2018-05-08T14:51:56.000Z

2018-07-12T19:07:34.000Z

""" Functions for working with files in python """ from merlin import files def test_read(): assert 1 > 0 def test_readb(): assert 1 > 0 def test_readlines(): assert 1 > 0 def test_readlinesb(): assert 1 > 0 def test_write(): assert 1 > 0 def test_writeb(): assert 1 > 0 def test_append(): assert 1 > 0 def test_appendb(): assert 1 > 0 def test_delete(): assert 1 > 0 def test_exists(): assert 1 > 0

10.697674

50

0.61087

59350eb7609b0c43250cb8cfdc0232cd4451af13

21,529

py

Python

pygr/blast.py

ctb/pygr

a3a3e68073834c20ddbdb27ed746baf8c73fef0a

[ "BSD-3-Clause" ]

2

2015-03-07T13:20:50.000Z

2015-11-04T12:01:21.000Z

pygr/blast.py

ctb/pygr

a3a3e68073834c20ddbdb27ed746baf8c73fef0a

[ "BSD-3-Clause" ]

null

pygr/blast.py

ctb/pygr

a3a3e68073834c20ddbdb27ed746baf8c73fef0a

[ "BSD-3-Clause" ]

null

import os, tempfile, glob import classutil, logger from sequtil import * from parse_blast import BlastHitParser from seqdb import write_fasta, read_fasta from nlmsa_utils import CoordsGroupStart, CoordsGroupEnd, CoordsToIntervals,\ EmptySlice from annotation import AnnotationDB, TranslationAnnot, TranslationAnnotSlice import cnestedlist import translationDB import UserDict # NCBI HAS THE NASTY HABIT OF TREATING THE IDENTIFIER AS A BLOB INTO # WHICH THEY STUFF FIELD AFTER FIELD... E.G. gi|1234567|foobarU|NT_1234567|... # THIS JUST YANKS OUT THE SECOND ARGUMENT SEPARATED BY | NCBI_ID_PARSER=lambda id:id.split('|')[1] def blast_program(query_type,db_type): progs= {DNA_SEQTYPE:{DNA_SEQTYPE:'blastn', PROTEIN_SEQTYPE:'blastx'}, PROTEIN_SEQTYPE:{DNA_SEQTYPE:'tblastn', PROTEIN_SEQTYPE:'blastp'}} if query_type == RNA_SEQTYPE: query_type = DNA_SEQTYPE if db_type == RNA_SEQTYPE: db_type = DNA_SEQTYPE return progs[query_type][db_type] def read_blast_alignment(ofile, srcDB, destDB, al=None, pipeline=None, translateSrc=False, translateDest=False): """Apply sequence of transforms to read input from 'ofile'. srcDB: database for finding query sequences from the blast input; destDB: database for finding subject sequences from the blast input; al, if not None, must be a writeable alignment object in which to store the alignment intervals; translateSrc=True forces creation of a TranslationDB representing the possible 6-frames of srcDB (for blastx, tblastx); translateDest=True forces creation of a TranslationDB representing the possible 6-frames of destDB (for tblastn, tblastx). If pipeline is not None, it must be a list of filter functions each taking a single argument and returning an iterator or iterable result object. """ p = BlastHitParser() d = dict(id='src_id', start='src_start', stop='src_end', ori='src_ori', idDest='dest_id', startDest='dest_start', stopDest='dest_end', oriDest='dest_ori') if translateSrc: srcDB = translationDB.get_translation_db(srcDB) if translateDest: destDB = translationDB.get_translation_db(destDB) cti = CoordsToIntervals(srcDB, destDB, d) alignedIvals = cti(p.parse_file(ofile)) if pipeline is None: result = save_interval_alignment(alignedIvals, al) else: # apply all the filters in our pipeline one by one result = alignedIvals for f in pipeline: result = f(result) return result def save_interval_alignment(alignedIvals, al=None): """Save alignedIvals to al, or a new in-memory NLMSA""" needToBuild = False if al is None: al = cnestedlist.NLMSA('blasthits', 'memory', pairwiseMode=True, bidirectional=False) needToBuild = True al.add_aligned_intervals(alignedIvals) if needToBuild: al.build() return al def start_blast(cmd, seq, seqString=None, seqDict=None, **kwargs): """Run blast and return results.""" p = classutil.FilePopen(cmd, stdin=classutil.PIPE, stdout=classutil.PIPE, **kwargs) if seqString is None: seqString = seq if seqDict is not None: # write all seqs to nonblocking ifile for seqID, seq in seqDict.iteritems(): write_fasta(p.stdin, seq) seqID = None else: # just write one query sequence seqID = write_fasta(p.stdin, seqString) if p.wait(): # blast returned error code raise OSError('command %s failed' % ' '.join(cmd)) return seqID, p def process_blast(cmd, seq, blastDB, al=None, seqString=None, queryDB=None, popenArgs={}, **kwargs): """Run blast and return an alignment.""" seqID,p = start_blast(cmd, seq, seqString, seqDict=queryDB, **popenArgs) try: if not queryDB: # need a query db for translation / parsing results try: queryDB = seq.db # use this sequence's database except AttributeError: queryDB = { seqID : seq } # construct a trivial "database" al = read_blast_alignment(p.stdout, queryDB, blastDB, al, **kwargs) finally: p.close() # close our PIPE files return al def repeat_mask(seq, progname='RepeatMasker', opts=()): 'Run RepeatMasker on a sequence, return lowercase-masked string' ## fd, temppath = tempfile.mkstemp() ## ofile = os.fdopen(fd, 'w') # text file p = classutil.FilePopen([progname] + list(opts), stdin=classutil.PIPE, stdinFlag=None) write_fasta(p.stdin, seq, reformatter=lambda x:x.upper()) # save uppercase! try: if p.wait(): raise OSError('command %s failed' % ' '.join(p.args[0])) ifile = file(p._stdin_path + '.masked', 'rU') # text file try: for id,title,seq_masked in read_fasta(ifile): break # JUST READ ONE SEQUENCE finally: ifile.close() finally: # clean up our temp files no matter what happened p.close() # close temp stdin file for fpath in glob.glob(p._stdin_path + '.*'): try: os.remove(fpath) except OSError: pass return seq_masked # ONLY THE REPEATS ARE IN LOWERCASE NOW def warn_if_whitespace(filepath): l = filepath.split() # check filepath for whitespace if len(l) > 1 or len(l[0]) < len(filepath): # contains whitespace logger.warn(""" Your sequence filepath contains whitespace characters: %s The NCBI formatdb (and blastall) programs cannot handle file paths containing whitespace! This is a known NCBI formatdb / blastall bug. Please use a path containing no whitespace characters!""" % filepath) return True # signal caller that a warning was issued class BlastMapping(object): 'Graph interface for mapping a sequence to homologs in a seq db via BLAST' def __init__(self, seqDB, filepath=None, blastReady=False, blastIndexPath=None, blastIndexDirs=None, verbose=True, showFormatdbMessages=True, **kwargs): '''seqDB: sequence database object to search for homologs filepath: location of FASTA format file for the sequence database blastReady: if True, ensure that BLAST index file ready to use blastIndexPath: location of the BLAST index file blastIndexDirs: list of directories for trying to build index in ''' self.seqDB = seqDB self.idIndex = BlastIDIndex(seqDB) self.verbose = verbose self.showFormatdbMessages = showFormatdbMessages if filepath is not None: self.filepath = filepath else: self.filepath = seqDB.filepath if blastIndexPath is not None: self.blastIndexPath = blastIndexPath if blastIndexDirs is not None: self.blastIndexDirs = blastIndexDirs self.checkdb() # CHECK WHETHER BLAST INDEX FILE IS PRESENT... if not self.blastReady and blastReady: # FORCE CONSTRUCTION OF BLAST DB self.formatdb() def __repr__(self): return "<BlastMapping '%s'>" % (self.filepath) def __getitem__(self, k): 'return NLMSASlice representing BLAST results' al = self.__call__(k) # run BLAST & get NLMSA storing results return al[k] # return NLMSASlice representing these results def test_db_location(self, testpath): '''check whether BLAST index files ready for use; return status.''' if not os.access(testpath+'.nsd',os.R_OK) \ and not os.access(testpath+'.psd',os.R_OK) \ and not os.access(testpath+'.00.nsd',os.R_OK) \ and not os.access(testpath+'.00.psd',os.R_OK): return False else: # FOUND INDEX FILES IN THIS LOCATION if testpath != self.filepath: self.blastIndexPath = testpath return True def checkdb(self): 'look for blast index files in blastIndexPath, standard list of locations' for testpath in self.blast_index_paths(): self.blastReady = self.test_db_location(testpath) if self.blastReady: break return self.blastReady def run_formatdb(self, testpath): 'ATTEMPT TO BUILD BLAST DATABASE INDEXES at testpath' dirname = classutil.file_dirpath(testpath) if not os.access(dirname, os.W_OK): # check if directory is writable raise IOError('run_formatdb: directory %s is not writable!' % dirname) cmd = ['formatdb', '-i', self.filepath, '-n', testpath, '-o', 'T'] if self.seqDB._seqtype != PROTEIN_SEQTYPE: cmd += ['-p', 'F'] # special flag required for nucleotide seqs logger.info('Building index: ' + ' '.join(cmd)) if self.showFormatdbMessages: kwargs = {} else: # suppress formatdb messages by redirecting them kwargs = dict(stdout=classutil.PIPE, stderr=classutil.PIPE) if classutil.call_subprocess(cmd, **kwargs): # bad exit code, so command failed warn_if_whitespace(self.filepath) \ or warn_if_whitespace(testpath) # only issue one warning raise OSError('command %s failed' % ' '.join(cmd)) self.blastReady=True if testpath!=self.filepath: self.blastIndexPath = testpath def get_blast_index_path(self): 'get path to base name for BLAST index files' try: return self.blastIndexPath except AttributeError: return self.filepath # DEFAULT: BUILD INDEX FILES IN self.filepath . HOME OR APPROPRIATE # USER-/SYSTEM-SPECIFIC TEMPORARY DIRECTORY blastIndexDirs = ['FILEPATH',os.getcwd,os.path.expanduser, tempfile.gettempdir()] def blast_index_paths(self): 'iterate over possible blast index directories' try: # 1ST TRY ACTUAL SAVED LOCATION IF ANY yield self.blastIndexPath except AttributeError: pass for m in self.blastIndexDirs: # NOW TRY STANDARD LOCATIONS if m=='FILEPATH': yield self.filepath continue elif m == os.path.expanduser: s = m('~') # GET HOME DIRECTORY elif callable(m): s = m() else: # TREAT AS STRING s = str(m) yield os.path.join(s,os.path.basename(self.filepath)) def formatdb(self, filepath=None): 'try to build BLAST index files in an appropriate location' if filepath is not None: # JUST USE THE SPECIFIED PATH return self.run_formatdb(filepath) notFirst = False for testpath in self.blast_index_paths(): if notFirst: logger.info('Trying next entry in self.blastIndexDirs...') notFirst = True try: # BUILD IN TARGET DIRECTORY return self.run_formatdb(testpath) except (IOError,OSError): # BUILD FAILED pass raise IOError, "cannot build BLAST database for %s" % (self.filepath,) def raw_fasta_stream(self, ifile=None, idFilter=None): '''Return a stream of fasta-formatted sequences. Optionally, apply an ID filter function if supplied. ''' if ifile is not None: # JUST USE THE STREAM WE ALREADY HAVE OPEN return ifile,idFilter try: # DEFAULT: JUST READ THE FASTA FILE, IF IT EXISTS return file(self.filepath, 'rU'),idFilter except IOError: # TRY READING FROM FORMATTED BLAST DATABASE cmd='fastacmd -D -d "%s"' % self.get_blast_index_path() return os.popen(cmd),NCBI_ID_PARSER #BLAST ADDS lcl| TO id _blast_prog_dict = dict(blastx='#BlastxMapping') def blast_program(self, seq, blastprog=None): 'figure out appropriate blast program & remap via _blast_prog_dict' if blastprog is None: blastprog = blast_program(seq.seqtype(), self.seqDB._seqtype) oldprog = blastprog try: # apply program transformation if provided blastprog = self._blast_prog_dict[blastprog] if blastprog.startswith('#'): # not permitted by this class! raise ValueError('Use %s for %s' % (blastprog[1:],oldprog)) except KeyError: pass # no program transformation to apply, so nothing to do... return blastprog def blast_command(self, blastpath, blastprog, expmax, maxseq, opts): 'generate command string for running blast with desired options' filepath = self.get_blast_index_path() warn_if_whitespace(filepath) cmd = [blastpath, '-d', filepath, '-p', blastprog, '-e', '%e' % float(expmax)] + list(opts) if maxseq is not None: # ONLY TAKE TOP maxseq HITS cmd += ['-b', '%d' % maxseq, '-v', '%d' % maxseq] return cmd def get_seq_from_queryDB(self, queryDB): 'get one sequence obj from queryDB' seqID = iter(queryDB).next() # get 1st seq ID return queryDB[seqID] def translation_kwargs(self, blastprog): 'return kwargs for read_blast_alignment() based on blastprog' d = dict(tblastn=dict(translateDest=True), blastx=dict(translateSrc=True), tblastx=dict(translateSrc=True, translateDest=True)) try: return d[blastprog] except KeyError: return {} def __call__(self, seq=None, al=None, blastpath='blastall', blastprog=None, expmax=0.001, maxseq=None, verbose=None, opts=(), queryDB=None, **kwargs): "Run blast search for seq in database, return alignment object" if seq is None and queryDB is None: raise ValueError("we need a sequence or db to use as query!") if seq and queryDB: raise ValueError("both a sequence AND a db provided for query") if queryDB is not None: seq = self.get_seq_from_queryDB(queryDB) if not self.blastReady: # HAVE TO BUILD THE formatdb FILES... self.formatdb() blastprog = self.blast_program(seq, blastprog) cmd = self.blast_command(blastpath, blastprog, expmax, maxseq, opts) return process_blast(cmd, seq, self.idIndex, al, queryDB=queryDB, ** self.translation_kwargs(blastprog)) class BlastxMapping(BlastMapping): """Because blastx changes the query to multiple sequences (representing its six possible frames), getitem can no longer return a single slice object, but instead an iterator for one or more slice objects representing the frames that had homology hits.""" def __repr__(self): return "<BlastxMapping '%s'>" % (self.filepath) _blast_prog_dict = dict(blastn='tblastx', blastp='#BlastMapping', tblastn='#BlastMapping') def __getitem__(self, query): """generate slices for all translations of the query """ # generate NLMSA for this single sequence al = self(query) # get the translation database for the sequence tdb = translationDB.get_translation_db(query.db) # run through all of the frames & find alignments. slices = [] for trans_seq in tdb[query.id].iter_frames(): try: slice = al[trans_seq] except KeyError: continue if not isinstance(slice, EmptySlice): slices.append(slice) return slices class MegablastMapping(BlastMapping): def __repr__(self): return "<MegablastMapping '%s'>" % (self.filepath) def __call__(self, seq, al=None, blastpath='megablast', expmax=1e-20, maxseq=None, minIdentity=None, maskOpts=['-U', 'T', '-F', 'm'], rmPath='RepeatMasker', rmOpts=['-xsmall'], verbose=None, opts=(), **kwargs): "Run megablast search with optional repeat masking." if not self.blastReady: # HAVE TO BUILD THE formatdb FILES... self.formatdb() # mask repeats to lowercase masked_seq = repeat_mask(seq,rmPath,rmOpts) filepath = self.get_blast_index_path() warn_if_whitespace(filepath) cmd = [blastpath] + maskOpts \ + ['-d', filepath, '-D', '2', '-e', '%e' % float(expmax)] + list(opts) if maxseq is not None: # ONLY TAKE TOP maxseq HITS cmd += ['-b', '%d' % maxseq, '-v', '%d' % maxseq] if minIdentity is not None: cmd += ['-p', '%f' % float(minIdentity)] return process_blast(cmd, seq, self.idIndex, al, seqString=masked_seq, popenArgs=dict(stdinFlag='-i')) class BlastIDIndex(object): """This class acts as a wrapper around a regular seqDB, and handles the mangled IDs returned by BLAST to translate them to the correct ID. Since NCBI treats FASTA ID as a blob into which they like to stuff many fields... and then NCBI BLAST mangles those IDs when it reports hits, so they no longer match the true ID... we are forced into contortions to rescue the true ID from mangled IDs. Our workaround strategy: since NCBI packs the FASTA ID with multiple IDs (GI, GB, RefSeq ID etc.), we can use any of these identifiers that are found in a mangled ID, by storing a mapping of these sub-identifiers to the true FASTA ID.""" def __init__(self, seqDB): self.seqDB = seqDB self.seqInfoDict = BlastIDInfoDict(self) # FOR UNPACKING NCBI IDENTIFIERS AS WORKAROUND FOR BLAST ID CRAZINESS id_delimiter='|' def unpack_id(self,id): """Return |-packed NCBI identifiers as unpacked list. NCBI packs identifier like gi|123456|gb|A12345|other|nonsense. Return as list.""" return id.split(self.id_delimiter) def index_unpacked_ids(self,unpack_f=None): """Build an index of sub-IDs (unpacked from NCBI nasty habit of using the FASTA ID as a blob); you can customize the unpacking by overriding the unpack_id function or changing the id_delimiter. The index maps each sub-ID to the real ID, so that when BLAST hands back a mangled, fragmentary ID, we can unpack that mangled ID and look up the true ID in this index. Any sub-ID that is found to map to more than one true ID will be mapped to None (so that random NCBI garbage like gnl or NCBI_MITO wont be treated as sub-IDs). """ if unpack_f is None: unpack_f=self.unpack_id t={} for id in self.seqDB: for s in unpack_f(id): if s==id: continue # DON'T STORE TRIVIAL MAPPINGS!! s=s.upper() # NCBI FORCES ID TO UPPERCASE?!?! try: if t[s]!=id and t[s] is not None: t[s]=None # s NOT UNIQUE, CAN'T BE AN IDENTIFIER!! except KeyError: t[s]=id # s UNIQUE, TRY USING s AS AN IDENTIFIER for id in t.itervalues(): if id is not None: # OK THERE ARE REAL MAPPINGS STORED, SO USE THIS self._unpacked_dict=t # SAVE THE MAPPING TO REAL IDENTIFIERS return # NO NON-TRIVIAL MAPPINGS, SO JUST SAVE EMPTY MAPPING self._unpacked_dict={} def get_real_id(self,bogusID,unpack_f=None): "try to translate an id that NCBI has mangled to the real sequence id" if unpack_f is None: unpack_f=self.unpack_id if not hasattr(self,'_unpacked_dict'): self.index_unpacked_ids(unpack_f) for s in unpack_f(bogusID): s=s.upper() # NCBI FORCES ID TO UPPERCASE?!?! try: id=self._unpacked_dict[s] if id is not None: return id # OK, FOUND A MAPPING TO REAL ID except KeyError: pass # KEEP TRYING... # FOUND NO MAPPING, SO RAISE EXCEPTION raise KeyError, "no key '%s' in database %s" % (bogusID, repr(self.seqDB)) def __getitem__(self, seqID): "If seqID is mangled by BLAST, use our index to get correct ID" try: # default: treat as a correct ID return self.seqDB[seqID] except KeyError: # translate to the correct ID return self.seqDB[self.get_real_id(seqID)] def __contains__(self, seqID): try: self.seqInfoDict[seqID] return True except KeyError: return False class BlastIDInfoDict(object, UserDict.DictMixin): """provide seqInfoDict interface for BlastIDIndex """ def __init__(self, db): self.blastDB = db def __getitem__(self, seqID): try: return self.blastDB.seqDB.seqInfoDict[seqID] except KeyError: seqID = self.blastDB.get_real_id(seqID) return self.blastDB.seqDB.seqInfoDict[seqID] def __len__(self): return len(self.blastDB.seqDB.seqInfoDict) def __iter__(self): return iter(self.blastDB.seqDB.seqInfoDict) def keys(self): return self.blastDB.seqDB.seqInfoDict.keys()

43.230924

82

0.623949

4f0de58c40a4b91b6f6013a638fbd03ccbc84774

1,500

py

Python

tests/notebook_test_case.py

tanjie123/hello-ltr

fe1ad1989e1bb17dfc8d1c09931480becf59766e

[ "Apache-2.0" ]

109

2019-04-18T01:24:29.000Z

2022-03-12T17:37:30.000Z

tests/notebook_test_case.py

tanjie123/hello-ltr

fe1ad1989e1bb17dfc8d1c09931480becf59766e

[ "Apache-2.0" ]

63

2019-04-14T01:01:24.000Z

2022-03-03T20:48:41.000Z

tests/notebook_test_case.py

tanjie123/hello-ltr

fe1ad1989e1bb17dfc8d1c09931480becf59766e

[ "Apache-2.0" ]

41

2019-04-22T15:22:41.000Z

2022-02-26T00:03:02.000Z

import unittest from nb_test_config import NotebookTestConfig import runner class NotebooksTestCase(unittest.TestCase): SAVE_NB_PATH='tests/last_run.ipynb' def test_paths(self): return [] def ignored_nbs(self): return [] def nbs_to_run(self): class IncludeAll: def __contains__(self, _): return True return IncludeAll() def test_for_no_errors(self): """ Run all nbs in directories at test_paths() also included in nbs_to_run(), excepting those in ignored_nbs() - assert there are no errors """ for nb_path in self.test_paths(): nb_cfg = NotebookTestConfig(path=nb_path) print("EXECUTING NBS IN DIRECTORY: " + nb_path) if nb_cfg.setup: print("Setting up ... " + nb_path) nb, errors = runner.run_notebook(nb_cfg.setup, save_nb_path=NotebooksTestCase.SAVE_NB_PATH) print(errors) assert len(errors) == 0 for nb in nb_cfg.notebooks: if nb in self.nbs_to_run(): if nb in self.ignored_nbs(): print("Ignored " + nb) else: print("Running... " + nb) nb, errors = runner.run_notebook(nb, save_nb_path=NotebooksTestCase.SAVE_NB_PATH) print(errors) assert len(errors) == 0

32.608696

107

0.546

8613fb0bc33f835f10a0a0a27c6012db681f7213

13,992

py

Python

suncasa/eovsa/eovsa_pltQlookMovie.py

wyq24/suncasa

e6ed6d8b9bd2186c4af6d0354d03af5fff9aef7a

[ "BSD-2-Clause" ]

7

2019-05-21T22:24:07.000Z

2021-02-25T20:20:24.000Z

suncasa/eovsa/eovsa_pltQlookMovie.py

wulinhui1/suncasa-src

1f94aaabaf6a3911fa532648ec6676a221553436

[ "BSD-2-Clause" ]

26

2016-11-09T17:11:45.000Z

2021-08-20T13:41:50.000Z

suncasa/eovsa/eovsa_pltQlookMovie.py

wulinhui1/suncasa-src

1f94aaabaf6a3911fa532648ec6676a221553436

[ "BSD-2-Clause" ]

17

2016-10-27T18:35:46.000Z

2021-08-03T05:33:57.000Z

import os import matplotlib.pyplot as plt import matplotlib.colors as colors from sunpy import map as smap import sunpy.cm.cm as cm_smap import astropy.units as u from mpl_toolkits.axes_grid1 import make_axes_locatable import matplotlib.colorbar as colorbar import matplotlib.patches as patches from datetime import timedelta from datetime import datetime from glob import glob import numpy as np from astropy.time import Time import calendar from suncasa.utils import plot_mapX as pmX import urllib.request from sunpy.physics.differential_rotation import diffrot_map from suncasa.utils import DButil from tqdm import tqdm from suncasa.eovsa import eovsa_readfits as er # imgfitsdir = '/Users/fisher/myworkspace/' # imgfitstmpdir = '/Users/fisher/myworkspace/fitstmp/' # pltfigdir = '/Users/fisher/myworkspace/SynopticImg/eovsamedia/eovsa-browser/' imgfitsdir = '/data1/eovsa/fits/synoptic/' imgfitstmpdir = '/data1/workdir/fitstmp/' pltfigdir = '/common/webplots/SynopticImg/eovsamedia/eovsa-browser/' def clearImage(): for (dirpath, dirnames, filenames) in os.walk(pltfigdir): for filename in filenames: for k in ['0094', '0193', '0335', '4500', '0171', '0304', '0131', '1700', '0211', '1600', '_HMIcont', '_HMImag']: # for k in ['_Halph_fr']: if k in filename: print(os.path.join(dirpath, filename)) os.system('rm -rf ' + os.path.join(dirpath, filename)) def pltEovsaQlookImageSeries(timobjs, spws, vmaxs, vmins, aiawave, bd, fig=None, axs=None, imgoutdir=None, overwrite=False, verbose=False): from astropy.visualization.stretch import AsinhStretch from astropy.visualization import ImageNormalize plt.ioff() imgfiles = [] dpi = 512. / 4 aiaDataSource = {"0094": 8, "0193": 11, "0335": 14, # "4500": 17, "0171": 10, "0304": 13, "0131": 9, "1700": 16, "0211": 12, # "1600": 15, "_HMIcont": 18, "_HMImag": 19} tmjd = timobjs.mjd tmjd_base = np.floor(tmjd) tmjd_hr = (tmjd - tmjd_base) * 24 for tidx, timobj in enumerate(tqdm(timobjs)): dateobj = timobj.to_datetime() timestr = dateobj.strftime("%Y-%m-%dT%H:%M:%SZ") tstrname = dateobj.strftime("%Y%m%dT%H%M%SZ") datestrdir = dateobj.strftime("%Y/%m/%d/") imgindir = imgfitsdir + datestrdir timobj_prevday = Time(tmjd[tidx] - 1, format='mjd') dateobj_prevday = timobj_prevday.to_datetime() datestrdir_prevday = dateobj_prevday.strftime("%Y/%m/%d/") imgindir_prevday = imgfitsdir + datestrdir_prevday # if not os.path.exists(imgindir): os.makedirs(imgindir) cmap = cm_smap.get_cmap('sdoaia304') if verbose: print('Processing EOVSA images for date {}'.format(dateobj.strftime('%Y-%m-%d'))) key, sourceid = aiawave, aiaDataSource[aiawave] s, sp = bd, spws[bd] figoutname = os.path.join(imgoutdir, 'eovsa_bd{:02d}_aia{}_{}.jpg'.format(s + 1, key, tstrname)) if overwrite or (not os.path.exists(figoutname)): ax = axs[0] ax.cla() spwstr = '-'.join(['{:02d}'.format(int(sp_)) for sp_ in sp.split('~')]) t_hr = tmjd_hr[tidx] t_hr_st_blend = 2.0 t_hr_ed_blend = 14.0 if t_hr <= 8.0: eofile = imgindir_prevday + 'eovsa_{}.spw{}.tb.disk.fits'.format(dateobj_prevday.strftime('%Y%m%d'), spwstr) else: eofile = imgindir + 'eovsa_{}.spw{}.tb.disk.fits'.format(dateobj.strftime('%Y%m%d'), spwstr) if not os.path.exists(eofile): continue stretch = AsinhStretch(a=0.15) norm = ImageNormalize(vmin=vmins[s], vmax=vmaxs[s], stretch=stretch) eomap = er.readfits(eofile) eomap = eomap.resample(u.Quantity(eomap.dimensions) / 2) eomap.data[np.isnan(eomap.data)] = 0.0 eomap_rot = diffrot_map(eomap, time=timobj) offlimbidx = np.where(eomap_rot.data == eomap_rot.data[0, 0]) eomap_rot.data[offlimbidx] = eomap.data[offlimbidx] t_hr = tmjd_hr[tidx] if t_hr_st_blend <= t_hr <= t_hr_ed_blend: if t_hr <= 8.0: eofile_blend = imgindir + 'eovsa_{}.spw{}.tb.disk.fits'.format( dateobj.strftime('%Y%m%d'), spwstr) alpha = 1.0 - (t_hr - t_hr_st_blend) / (t_hr_ed_blend - t_hr_st_blend) else: eofile_blend = imgindir_prevday + 'eovsa_{}.spw{}.tb.disk.fits'.format( dateobj_prevday.strftime('%Y%m%d'), spwstr) alpha = (t_hr - t_hr_st_blend) / (t_hr_ed_blend - t_hr_st_blend) alpha_blend = 1.0 - alpha eomap_blend = er.readfits(eofile_blend) eomap_blend = eomap_blend.resample(u.Quantity(eomap_blend.dimensions) / 2) eomap_blend.data[np.isnan(eomap_blend.data)] = 0.0 eomap_rot_blend = diffrot_map(eomap_blend, time=timobj) offlimbidx = np.where(eomap_rot_blend.data == eomap_rot_blend.data[0, 0]) eomap_rot_blend.data[offlimbidx] = eomap_blend.data[offlimbidx] eomap_rot_plt = smap.Map((eomap_rot.data * alpha + eomap_rot_blend.data * alpha_blend), eomap_rot.meta) else: eomap_rot_plt = eomap_rot # eomap_plt.plot(axes=ax, cmap=cmap, norm=norm) eomap_rot_plt.plot(axes=ax, cmap=cmap, norm=norm) ax.set_xlabel('') ax.set_ylabel('') ax.set_xticklabels([]) ax.set_yticklabels([]) ax.text(0.02, 0.02, 'EOVSA {:.1f} GHz {}'.format(eomap.meta['CRVAL3'] / 1e9, dateobj.strftime('%d-%b-%Y %H:%M UT')), transform=ax.transAxes, color='w', ha='left', va='bottom', fontsize=9) ax.text(0.98, 0.02, 'Max Tb {:.0f} K'.format(np.nanmax(eomap.data)), transform=ax.transAxes, color='w', ha='right', va='bottom', fontsize=9) ax.set_xlim(-1227, 1227) ax.set_ylim(-1227, 1227) ax = axs[1] # for key, sourceid in aiaDataSource.items(): ax.cla() if not os.path.exists(imgoutdir): os.makedirs(imgoutdir) sdourl = 'https://api.helioviewer.org/v2/getJP2Image/?date={}&sourceId={}'.format(timestr, sourceid) # print(sdourl) sdofile = os.path.join(imgoutdir, 'AIA' + key + '.{}.jp2'.format(tstrname)) if not os.path.exists(sdofile): urllib.request.urlretrieve(sdourl, sdofile) if not os.path.exists(sdofile): continue sdomap = smap.Map(sdofile) norm = colors.Normalize() # sdomap_ = pmX.Sunmap(sdomap) if "HMI" in key: cmap = plt.get_cmap('gray') else: cmap = cm_smap.get_cmap('sdoaia' + key.lstrip('0')) sdomap.plot(axes=ax, cmap=cmap, norm=norm) # sdomap_.imshow(axes=ax, cmap=cmap, norm=norm) # sdomap_.draw_limb(axes=ax, lw=0.25, alpha=0.5) # sdomap_.draw_grid(axes=ax, grid_spacing=10. * u.deg, lw=0.25) ax.set_xlabel('') ax.set_ylabel('') ax.set_xticklabels([]) ax.set_yticklabels([]) ax.text(0.02, 0.02, '{}/{} {} {}'.format(sdomap.observatory, sdomap.instrument.split(' ')[0], sdomap.measurement, sdomap.date.strftime('%d-%b-%Y %H:%M UT')), transform=ax.transAxes, color='w', ha='left', va='bottom', fontsize=9) ax.set_xlim(-1227, 1227) ax.set_ylim(-1227, 1227) fig.savefig(figoutname, dpi=np.int(dpi), quality=85) imgfiles.append(figoutname) return imgfiles def main(year, month, day=None, ndays=10, bd=3, show_warning=False): ''' By default, the subroutine create EOVSA monthly movie ''' if not show_warning: import warnings warnings.filterwarnings("ignore") # tst = datetime.strptime("2017-04-01", "%Y-%m-%d") # ted = datetime.strptime("2019-12-31", "%Y-%m-%d") if day is None: dst, ded = calendar.monthrange(year, month) tst = datetime(year, month, 1) ted = datetime(year, month, ded) else: if year: ted = datetime(year, month, day) else: ted = datetime.now() - timedelta(days=2) tst = Time(np.fix(Time(ted).mjd) - ndays, format='mjd').datetime tsep = datetime.strptime('2019-02-22', "%Y-%m-%d") vmaxs = [70.0e4, 35e4, 22e4, 16e4, 10e4, 8e4, 8e4] vmins = [-18.0e3, -8e3, -4.8e3, -3.4e3, -2.1e3, -1.6e3, -1.6e3] plt.ioff() fig, axs = plt.subplots(nrows=1, ncols=2, figsize=(8, 4)) fig.subplots_adjust(bottom=0.0, top=1.0, left=0.0, right=1.0, hspace=0.0, wspace=0.0) dateobs = tst imgfileslist = [] while dateobs < ted: monthstrdir = dateobs.strftime("%Y/%m/") imgoutdir = imgfitstmpdir + monthstrdir movieoutdir = pltfigdir + monthstrdir for odir in [imgoutdir, movieoutdir]: if not os.path.exists(odir): os.makedirs(odir) # dateobs = datetime.strptime("2019-12-21", "%Y-%m-%d") if dateobs > tsep: spws = ['0~1', '2~5', '6~10', '11~20', '21~30', '31~43', '44~49'] else: spws = ['1~3', '4~9', '10~16', '17~24', '25~30'] # spw = spws[bd:bd + 1] # vmax = vmaxs[bd:bd + 1] # vmin = vmins[bd:bd + 1] aiawave = '0304' tdateobs = Time(Time(dateobs).mjd + np.arange(0, 24, 1) / 24, format='mjd') imgfiles = pltEovsaQlookImageSeries(tdateobs, spws, vmaxs, vmins, aiawave, bd, fig=fig, axs=axs, overwrite=False, imgoutdir=imgoutdir) imgfileslist = imgfileslist + imgfiles dateobs = dateobs + timedelta(days=1) moviename = 'eovsa_bd{:02d}_aia304_{}'.format(bd + 1, dateobs.strftime("%Y%m")) DButil.img2movie(imgprefix=imgfileslist, outname=moviename, img_ext='jpg') os.system('mv {} {}'.format(os.path.join(imgoutdir + '../', moviename + '.mp4'), os.path.join(movieoutdir, moviename + '.mp4'))) plt.close('all') # if __name__ == '__main__': # import sys # import numpy as np # # # import subprocess # # shell = subprocess.check_output('echo $0', shell=True).decode().replace('\n', '').split('/')[-1] # # print("shell " + shell + " is using") # # print(sys.argv) # try: # argv = sys.argv[1:] # if '--clearcache' in argv: # clearcache = True # argv.remove('--clearcache') # Allows --clearcache to be either before or after date items # else: # clearcache = False # # year = np.int(argv[0]) # month = np.int(argv[1]) # day = np.int(argv[2]) # if len(argv) == 3: # dayspan = 30 # else: # dayspan = np.int(argv[3]) # except: # print('Error interpreting command line argument') # year = None # month = None # day = None # dayspan = 30 # clearcache = True # print("Running pipeline_plt for date {}-{}-{}".format(year, month, day)) # main(year, month, None, dayspan) if __name__ == '__main__': ''' Name: eovsa_pltQlookMovie --- pipeline for plotting EOVSA daily full-disk image movie at multi frequencies. Synopsis: eovsa_pltQlookMovie.py [options]... [DATE_IN_YY_MM_DD] Description: Make EOVSA daily full-disk image movie at multi frequencies of the date specified by DATE_IN_YY_MM_DD (or from ndays before the DATE_IN_YY_MM_DD if option --ndays/-n is provided). If DATE_IN_YY_MM_DD is omitted, it will be set to 2 days before now by default. The are no mandatory arguments in this command. -n, --ndays Processing the date spanning from DATE_IN_YY_MM_DD-ndays to DATE_IN_YY_MM_DD. Default is 30 Example: eovsa_pltQlookMovie.py -n 20 2020 06 10 ''' import sys import numpy as np import getopt year = None month = None day = None ndays = 30 show_warning = False try: argv = sys.argv[1:] opts, args = getopt.getopt(argv, "n:w:", ['ndays=', 'show_warning=']) print(opts, args) for opt, arg in opts: if opt in ('-n', '--ndays'): ndays = np.int(arg) elif opt in ('-w', '--show_warning'): if arg in ['True', 'T', '1']: show_warning = True elif arg in ['False', 'F', '0']: show_warning = False else: show_warning = np.bool(arg) nargs = len(args) if nargs == 3: year = np.int(args[0]) month = np.int(args[1]) day = np.int(args[2]) else: year = None month = None day = None except getopt.GetoptError as err: print(err) print('Error interpreting command line argument') year = None month = None day = None ndays = 30 show_warning = False print("Running pipeline_plt for date {}-{}-{}.".format(year, month, day)) kargs = {'ndays': ndays} for k, v in kargs.items(): print(k, v) main(year=year, month=month, day=day, ndays=ndays, show_warning=show_warning)

39.637394

135

0.555818

01be757a4344251fc381361c794559ad62bf2173

905

py

Python

Processor/EQ/spectrogram.py

yuzhouhe2000/video-conference-enhancer

46aa130c0b7f02db5055c8d15877c8287c2276c7

[ "Apache-2.0" ]

3

2021-07-15T12:02:25.000Z

2022-02-17T09:15:49.000Z

Processor/EQ/spectrogram.py

yuzhouhe2000/video-conference-enhancer

46aa130c0b7f02db5055c8d15877c8287c2276c7

[ "Apache-2.0" ]

1

2021-08-28T09:58:35.000Z

2021-09-04T15:07:17.000Z

Processor/EQ/spectrogram.py

yuzhouhe2000/video-conference-enhancer

46aa130c0b7f02db5055c8d15877c8287c2276c7

[ "Apache-2.0" ]

2

2021-08-28T09:48:10.000Z

2021-09-22T06:51:23.000Z

import matplotlib.pyplot as plt import numpy as np from scipy import signal from scipy.io import wavfile from pydub import AudioSegment #ASSUME THERE IS ALREADY A FILE IN MONO FORMAT NAMED test_mono.wav yMax = (int)(input("Enter maximum frequency value to visualize: ")) sample_rate, samples = wavfile.read('Testing_Files/test_mono.wav') frequencies, times, spectrogram = signal.spectrogram(samples, sample_rate) original = plt.figure(1) plt.pcolormesh(times, frequencies, spectrogram) plt.ylabel('Frequency (Hz)') plt.xlabel('Time (s)') plt.title('Original Audio') sample_rate, samples = wavfile.read('Testing_Files/test_speech_mono.wav') frequencies, times, spectrogram = signal.spectrogram(samples, sample_rate) processed = plt.figure(2) plt.pcolormesh(times, frequencies, spectrogram) plt.ylabel('Frequency (Hz)') plt.xlabel('Time (s)') plt.title('Processed Audio') plt.ylim(top=yMax) plt.show()

31.206897

74

0.779006

228486a2b0a33131f0408dee5594b7794c427153

16,589

py

Python

framework/Samplers/Stratified.py

mattdon/raven

b5b4a9fc96cec37ca5fb3757c45653eec66522f1

[ "Apache-2.0" ]

null

framework/Samplers/Stratified.py

mattdon/raven

b5b4a9fc96cec37ca5fb3757c45653eec66522f1

[ "Apache-2.0" ]

null

framework/Samplers/Stratified.py

mattdon/raven

b5b4a9fc96cec37ca5fb3757c45653eec66522f1

[ "Apache-2.0" ]

null

# Copyright 2017 Battelle Energy Alliance, LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ This module contains the Stratified sampling strategy Created on May 21, 2016 @author: alfoa supercedes Samplers.py from alfoa """ #for future compatibility with Python 3-------------------------------------------------------------- from __future__ import division, print_function, unicode_literals, absolute_import import warnings warnings.simplefilter('default',DeprecationWarning) #End compatibility block for Python 3---------------------------------------------------------------- #External Modules------------------------------------------------------------------------------------ import numpy as np from operator import mul from functools import reduce #External Modules End-------------------------------------------------------------------------------- #Internal Modules------------------------------------------------------------------------------------ from .Grid import Grid from .Sampler import Sampler from utils import utils,randomUtils,InputData #Internal Modules End-------------------------------------------------------------------------------- class Stratified(Grid): """ Stratified sampler, also known as Latin Hypercube Sampling (LHS). Currently no special filling methods are implemented """ @classmethod def getInputSpecification(cls): """ Method to get a reference to a class that specifies the input data for class cls. @ In, cls, the class for which we are retrieving the specification @ Out, inputSpecification, InputData.ParameterInput, class to use for specifying input of cls. """ inputSpecification = super(Stratified, cls).getInputSpecification() samplerInitInput = InputData.parameterInputFactory("samplerInit") samplerInitInput.addSub(InputData.parameterInputFactory("initialSeed", contentType=InputData.IntegerType)) samplerInitInput.addSub(InputData.parameterInputFactory("distInit", contentType=InputData.IntegerType)) inputSpecification.addSub(samplerInitInput) globalGridInput = InputData.parameterInputFactory("globalGrid", contentType=InputData.StringType) gridInput = InputData.parameterInputFactory("grid", contentType=InputData.StringType) gridInput.addParam("name", InputData.StringType) gridInput.addParam("type", InputData.StringType) gridInput.addParam("construction", InputData.StringType) gridInput.addParam("steps", InputData.IntegerType) globalGridInput.addSub(gridInput) inputSpecification.addSub(globalGridInput) return inputSpecification def __init__(self): """ Default Constructor that will initialize member variables with reasonable defaults or empty lists/dictionaries where applicable. @ In, None @ Out, None """ Grid.__init__(self) self.sampledCoordinate = [] # a list of list for i=0,..,limit a list of the coordinate to be used this is needed for the LHS self.printTag = 'SAMPLER Stratified' self.globalGrid = {} # Dictionary for the globalGrid. These grids are used only for Stratified for ND distributions. def localInputAndChecks(self,xmlNode, paramInput): """ Class specific xml inputs will be read here and checked for validity. @ In, xmlNode, xml.etree.ElementTree.Element, The xml element node that will be checked against the available options specific to this Sampler. @ In, paramInput, InputData.ParameterInput, the parsed parameters @ Out, None """ #TODO Remove using xmlNode Sampler.readSamplerInit(self,xmlNode) Grid.localInputAndChecks(self,xmlNode, paramInput) pointByVar = [len(self.gridEntity.returnParameter("gridInfo")[variable][2]) for variable in self.gridInfo.keys()] if len(set(pointByVar))!=1: self.raiseAnError(IOError,'the latin Hyper Cube requires the same number of point in each dimension') self.pointByVar = pointByVar[0] self.inputInfo['upper'] = {} self.inputInfo['lower'] = {} def localInitialize(self): """ Will perform all initialization specific to this Sampler. For instance, creating an empty container to hold the identified surface points, error checking the optionally provided solution export and other preset values, and initializing the limit surface Post-Processor used by this sampler. @ In, None @ Out, None """ Grid.localInitialize(self) self.limit = (self.pointByVar-1) # For the multivariate normal distribtuion, if the user generates the grids on the transformed space, the user needs to provide the grid for each variables, no globalGrid is needed if self.variablesTransformationDict: tempFillingCheck = [[None]*(self.pointByVar-1)]*len(self.gridEntity.returnParameter("dimensionNames")) #for all variables self.sampledCoordinate = [[None]*len(self.axisName)]*(self.pointByVar-1) for i in range(len(tempFillingCheck)): tempFillingCheck[i] = randomUtils.randomPermutation(list(range(self.pointByVar-1)),self) #pick a random interval sequence mappingIdVarName = {} for cnt, varName in enumerate(self.axisName): mappingIdVarName[varName] = cnt # For the multivariate normal, if the user wants to generate the grids based on joint distribution, the user needs to provide the globalGrid for all corresponding variables else: globGridsCount = {} dimInfo = self.gridEntity.returnParameter("dimInfo") for val in dimInfo.values(): if val[-1] is not None and val[-1] not in globGridsCount.keys(): globGridsCount[val[-1]] = 0 globGridsCount[val[-1]] += 1 diff = -sum(globGridsCount.values())+len(globGridsCount.keys()) tempFillingCheck = [[None]*(self.pointByVar-1)]*(len(self.gridEntity.returnParameter("dimensionNames"))+diff) #for all variables self.sampledCoordinate = [[None]*len(self.axisName)]*(self.pointByVar-1) for i in range(len(tempFillingCheck)): tempFillingCheck[i] = randomUtils.randomPermutation(list(range(self.pointByVar-1)),self) #pick a random interval sequence cnt = 0 mappingIdVarName = {} for varName in self.axisName: if varName not in dimInfo.keys(): mappingIdVarName[varName] = cnt else: for addKey,value in dimInfo.items(): if value[1] == dimInfo[varName][1] and addKey not in mappingIdVarName.keys(): mappingIdVarName[addKey] = cnt if len(mappingIdVarName.keys()) == len(self.axisName): break cnt +=1 for nPoint in range(self.pointByVar-1): self.sampledCoordinate[nPoint]= [tempFillingCheck[mappingIdVarName[varName]][nPoint] for varName in self.axisName] def localGenerateInput(self,model,myInput): """ Function to select the next most informative point for refining the limit surface search. After this method is called, the self.inputInfo should be ready to be sent to the model @ In, model, model instance, an instance of a model @ In, myInput, list, a list of the original needed inputs for the model (e.g. list of files, etc.) @ Out, None """ varCount = 0 self.inputInfo['distributionName'] = {} #Used to determine which distribution to change if needed. self.inputInfo['distributionType'] = {} #Used to determine which distribution type is used weight = 1.0 for varName in self.axisName: # new implementation for ND LHS if not "<distribution>" in varName: if self.variables2distributionsMapping[varName]['totDim']>1 and self.variables2distributionsMapping[varName]['reducedDim'] == 1: # to avoid double count of weight for ND distribution; I need to count only one variable instaed of N distName = self.variables2distributionsMapping[varName]['name'] if self.variablesTransformationDict: for distVarName in self.distributions2variablesMapping[distName]: for subVar in utils.first(distVarName.keys()).strip().split(','): self.inputInfo['distributionName'][subVar] = self.toBeSampled[varName] self.inputInfo['distributionType'][subVar] = self.distDict[varName].type ndCoordinate = np.zeros(len(self.distributions2variablesMapping[distName])) dxs = np.zeros(len(self.distributions2variablesMapping[distName])) centerCoordinate = np.zeros(len(self.distributions2variablesMapping[distName])) positionList = self.distributions2variablesIndexList[distName] sorted_mapping = sorted([(utils.first(var.keys()).strip(), utils.first(var.values())) for var in self.distributions2variablesMapping[distName]]) for var in sorted_mapping: # if the varName is a comma separated list of strings the user wants to sample the comma separated variables with the same sampled value => link the value to all comma separated variables variable, position = var upper = self.gridEntity.returnShiftedCoordinate(self.gridEntity.returnIteratorIndexes(),{variable:self.sampledCoordinate[self.counter-1][varCount]+1})[variable] lower = self.gridEntity.returnShiftedCoordinate(self.gridEntity.returnIteratorIndexes(),{variable:self.sampledCoordinate[self.counter-1][varCount]})[variable] varCount += 1 if self.gridInfo[variable] == 'CDF': coordinate = lower + (upper-lower)*randomUtils.random() ndCoordinate[positionList.index(position)] = self.distDict[variable].inverseMarginalDistribution(coordinate,variable) dxs[positionList.index(position)] = self.distDict[variable].inverseMarginalDistribution(max(upper,lower),variable)-self.distDict[variable].inverseMarginalDistribution(min(upper,lower),variable) centerCoordinate[positionList.index(position)] = (self.distDict[variable].inverseMarginalDistribution(upper,variable)+self.distDict[variable].inverseMarginalDistribution(lower,variable))/2.0 for subVar in variable.strip().split(','): self.values[subVar] = ndCoordinate[positionList.index(position)] self.inputInfo['upper'][subVar] = self.distDict[variable].inverseMarginalDistribution(max(upper,lower),variable) self.inputInfo['lower'][subVar] = self.distDict[variable].inverseMarginalDistribution(min(upper,lower),variable) elif self.gridInfo[variable] == 'value': dxs[positionList.index(position)] = max(upper,lower) - min(upper,lower) centerCoordinate[positionList.index(position)] = (upper + lower)/2.0 coordinateCdf = self.distDict[variable].marginalCdf(lower) + (self.distDict[variable].marginalCdf(upper) - self.distDict[variable].marginalCdf(lower))*randomUtils.random() coordinate = self.distDict[variable].inverseMarginalDistribution(coordinateCdf,variable) ndCoordinate[positionList.index(position)] = coordinate for subVar in variable.strip().split(','): self.values[subVar] = coordinate self.inputInfo['upper'][subVar] = max(upper,lower) self.inputInfo['lower'][subVar] = min(upper,lower) gridsWeight = self.distDict[varName].cellIntegral(centerCoordinate,dxs) self.inputInfo['SampledVarsPb'][varName] = self.distDict[varName].pdf(ndCoordinate) else: if self.gridInfo[varName] == 'CDF': upper = self.gridEntity.returnShiftedCoordinate(self.gridEntity.returnIteratorIndexes(),{varName:self.sampledCoordinate[self.counter-1][varCount]+1})[varName] lower = self.gridEntity.returnShiftedCoordinate(self.gridEntity.returnIteratorIndexes(),{varName:self.sampledCoordinate[self.counter-1][varCount]})[varName] varCount += 1 coordinate = lower + (upper-lower)*randomUtils.random() gridCoordinate, distName = self.distDict[varName].ppf(coordinate), self.variables2distributionsMapping[varName]['name'] for distVarName in self.distributions2variablesMapping[distName]: for subVar in utils.first(distVarName.keys()).strip().split(','): self.inputInfo['distributionName'][subVar], self.inputInfo['distributionType'][subVar], self.values[subVar] = self.toBeSampled[varName], self.distDict[varName].type, np.atleast_1d(gridCoordinate)[utils.first(distVarName.values())-1] # coordinate stores the cdf values, we need to compute the pdf for SampledVarsPb self.inputInfo['SampledVarsPb'][varName] = self.distDict[varName].pdf(np.atleast_1d(gridCoordinate).tolist()) gridsWeight = max(upper,lower) - min(upper,lower) else: self.raiseAnError(IOError,"Since the globalGrid is defined, the Stratified Sampler is only working when the sampling is performed on a grid on a CDF. However, the user specifies the grid on " + self.gridInfo[varName]) weight *= gridsWeight self.inputInfo['ProbabilityWeight-'+distName] = gridsWeight if ("<distribution>" in varName) or self.variables2distributionsMapping[varName]['totDim']==1: # 1D variable # if the varName is a comma separated list of strings the user wants to sample the comma separated variables with the same sampled value => link the value to all comma separated variables upper = self.gridEntity.returnShiftedCoordinate(self.gridEntity.returnIteratorIndexes(),{varName:self.sampledCoordinate[self.counter-1][varCount]+1})[varName] lower = self.gridEntity.returnShiftedCoordinate(self.gridEntity.returnIteratorIndexes(),{varName:self.sampledCoordinate[self.counter-1][varCount]})[varName] varCount += 1 if self.gridInfo[varName] =='CDF': coordinate = lower + (upper-lower)*randomUtils.random() ppfValue = self.distDict[varName].ppf(coordinate) ppfLower = self.distDict[varName].ppf(min(upper,lower)) ppfUpper = self.distDict[varName].ppf(max(upper,lower)) gridWeight = self.distDict[varName].cdf(ppfUpper) - self.distDict[varName].cdf(ppfLower) self.inputInfo['SampledVarsPb'][varName] = self.distDict[varName].pdf(ppfValue) elif self.gridInfo[varName] == 'value': coordinateCdf = self.distDict[varName].cdf(min(upper,lower)) + (self.distDict[varName].cdf(max(upper,lower))-self.distDict[varName].cdf(min(upper,lower)))*randomUtils.random() if coordinateCdf == 0.0: self.raiseAWarning(IOError,"The grid lower bound and upper bound in value will generate ZERO cdf value!!!") coordinate = self.distDict[varName].ppf(coordinateCdf) gridWeight = self.distDict[varName].cdf(max(upper,lower)) - self.distDict[varName].cdf(min(upper,lower)) self.inputInfo['SampledVarsPb'][varName] = self.distDict[varName].pdf(coordinate) # compute the weight and ProbabilityWeight-varName weight *= gridWeight self.inputInfo['ProbabilityWeight-'+varName] = gridWeight for subVar in varName.strip().split(','): self.inputInfo['distributionName'][subVar] = self.toBeSampled[varName] self.inputInfo['distributionType'][subVar] = self.distDict[varName].type if self.gridInfo[varName] =='CDF': self.values[subVar] = ppfValue self.inputInfo['upper'][subVar] = ppfUpper self.inputInfo['lower'][subVar] = ppfLower elif self.gridInfo[varName] =='value': self.values[subVar] = coordinate self.inputInfo['upper'][subVar] = max(upper,lower) self.inputInfo['lower'][subVar] = min(upper,lower) self.inputInfo['PointProbability'] = reduce(mul, self.inputInfo['SampledVarsPb'].values()) self.inputInfo['ProbabilityWeight' ] = weight self.inputInfo['SamplerType'] = 'Stratified'

61.440741

250

0.681717

15cbcfe3f4ba3ac800ce569905caf7f61c2dd8ee

756

py

Python

docs/examples/compute/oneandone/create_load_balancer.py

rgharris/libcloud

90971e17bfd7b6bb97b2489986472c531cc8e140

[ "Apache-2.0" ]

null

docs/examples/compute/oneandone/create_load_balancer.py

rgharris/libcloud

90971e17bfd7b6bb97b2489986472c531cc8e140

[ "Apache-2.0" ]

1

2021-12-06T12:29:13.000Z

docs/examples/compute/oneandone/create_load_balancer.py

rgharris/libcloud

90971e17bfd7b6bb97b2489986472c531cc8e140

[ "Apache-2.0" ]

1

2019-08-05T10:12:02.000Z

import os from libcloud.compute.types import Provider from libcloud.compute.providers import get_driver cls = get_driver(Provider.ONEANDONE) drv = cls(key=os.environ.get("ONEANDONE_TOKEN")) rules = [ {"protocol": "TCP", "port_balancer": 80, "port_server": 80, "source": "0.0.0.0"}, { "protocol": "TCP", "port_balancer": 9999, "port_server": 8888, "source": "0.0.0.0", }, ] try: shared_storage = drv.ex_create_load_balancer( name="Test Load Balancer", method="ROUND_ROBIN", rules=rules, persistence=False, persistence_time=1200, health_check_test="TCP", health_check_interval=40, ) print(shared_storage) except Exception as e: print(e)

22.909091

85

0.628307

632d04049aa1751a38a2fd403067443d750971fe

1,249

py

Python

test.py

ranok92/deepirl

88c7e76986243cf0b988d8d7dc0eef6b58e07864

[ "MIT" ]

2

2019-01-04T22:03:15.000Z

2019-04-03T00:16:11.000Z

test.py

ranok92/deepirl

88c7e76986243cf0b988d8d7dc0eef6b58e07864

[ "MIT" ]

null

test.py

ranok92/deepirl

88c7e76986243cf0b988d8d7dc0eef6b58e07864

[ "MIT" ]

null

from debugtools import getperStateReward from irlmethods.deep_maxent import RewardNet import utils from utils import to_oh import itertools import pdb from envs.gridworld_clockless import GridWorldClockless as GridWorld import numpy as np import torch DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") dtype = torch.float32 def per_state_reward(reward_function, rows, cols): all_states = itertools.product(range(rows), range(cols)) oh_states = [] for state in all_states: oh_states.append(utils.to_oh(state[0]*cols+state[1], rows*cols)) all_states = torch.tensor(oh_states, dtype=torch.float).to(DEVICE) return reward_function(all_states) def main(): r = 10 c = 10 env = GridWorld(display=False, obstacles=[np.asarray([1, 2])]) reward_network = RewardNet(env.reset().shape[0]) reward_network.load('./experiments/saved-models-rewards/1.pt') reward_network.eval() reward_network.to(DEVICE) reward_values = getperStateReward(reward_network, rows = 10 , cols = 10) irl_reward_valies = per_state_reward(reward_network, r,c) pdb.set_trace() plt.imshow(reward_values) plt.colorbar() plt.show() if __name__ == '__main__': main()

24.98

73

0.719776

fd9d1e5710d38b28a4f94fe0e37a3b89736291ba

31,932

py

Python

ifermi/surface.py

whzhangg/IFermi

511c69acd1e5ac849f073d435210a25a603d5bcb

[ "MIT" ]

32

2021-03-02T14:51:46.000Z

2022-03-18T18:56:48.000Z

ifermi/surface.py

skphy/IFermi

41a7a942e30723dcbe0e7eb2d51cc9ff5921d3ee

[ "MIT" ]

24

2021-03-04T00:09:06.000Z

2022-03-29T09:59:38.000Z

ifermi/surface.py

skphy/IFermi

41a7a942e30723dcbe0e7eb2d51cc9ff5921d3ee

[ "MIT" ]

17

2021-03-06T08:55:59.000Z

2022-02-03T15:15:58.000Z

"""Tools to generate isosurfaces and Fermi surfaces.""" import warnings from copy import deepcopy from dataclasses import dataclass from typing import Collection, Dict, List, Optional, Tuple, Union import numpy as np from monty.dev import requires from monty.json import MSONable, jsanitize from pymatgen.core.structure import Structure from pymatgen.electronic_structure.bandstructure import BandStructure from pymatgen.electronic_structure.core import Spin from ifermi.brillouin_zone import ReciprocalCell, WignerSeitzCell from ifermi.interpolate import LinearInterpolator try: import mcubes except ImportError: mcubes = None try: import open3d except ImportError: open3d = None __all__ = [ "Isosurface", "FermiSurface", "compute_isosurfaces", "trim_surface", "expand_bands", "decimate_mesh", "face_properties", ] @dataclass class Isosurface(MSONable): """ An isosurface object contains a triangular mesh and surface properties. Attributes: vertices: A (n, 3) float array of the vertices in the isosurface. faces: A (m, 3) int array of the faces of the isosurface. band_idx: The band index to which the surface belongs. properties: An optional (m, ...) float array containing face properties as scalars or vectors. dimensionality: The dimensionality of the surface. orientation: The orientation of the surface (for 1D and 2D surfaces only). """ vertices: np.ndarray faces: np.ndarray band_idx: int properties: Optional[np.ndarray] = None dimensionality: Optional[str] = None orientation: Optional[Tuple[int, int, int]] = None def __post_init__(self): # ensure all inputs are numpy arrays self.vertices = np.array(self.vertices) self.faces = np.array(self.faces) if self.properties is not None: self.properties = np.array(self.properties) @property def area(self) -> float: r"""Area of the isosurface in Å\ :sup:`-2`\ .""" from ifermi.analysis import isosurface_area return isosurface_area(self.vertices, self.faces) @property def has_properties(self) -> float: """Whether the surface has properties.""" return self.properties is not None @property def properties_norms(self) -> np.ndarray: """(m, ) norm of isosurface properties.""" if not self.has_properties: raise ValueError("Isosurface does not have face properties.") if self.properties.ndim != 2: raise ValueError("Isosurface does not have vector properties.") return np.linalg.norm(self.properties, axis=1) @property def properties_ndim(self) -> int: """Dimensionality of face properties.""" if not self.has_properties: raise ValueError("Isosurface does not have face properties.") return self.properties.ndim def average_properties( self, norm: bool = False, projection_axis: Optional[Tuple[int, int, int]] = None ) -> Union[float, np.ndarray]: """ Average property across isosurface. Args: norm: Average the norm of the properties (vector properties only). projection_axis: A (3, ) in array of the axis to project the properties onto (vector properties only). Returns: The averaged property. """ from ifermi.analysis import average_properties if not self.has_properties: raise ValueError("Isosurface does not have face properties.") properties = self.properties if projection_axis is not None: properties = self.scalar_projection(projection_axis) return average_properties(self.vertices, self.faces, properties, norm=norm) def scalar_projection(self, axis: Tuple[int, int, int]) -> np.ndarray: """ Get scalar projection of properties onto axis. Args: axis: A (3, ) int array of the axis to project onto. Return: (m, ) float array of scalar projection of properties. """ if not self.has_properties: raise ValueError("Isosurface does not have face properties.") if self.properties.ndim != 2: raise ValueError("Isosurface does not have vector properties.") return np.dot(self.properties, axis) def sample_uniform(self, grid_size: float) -> np.ndarray: """ Sample mesh faces uniformly. See the docstring for ``ifermi.analysis.sample_surface_uniform`` for more details. Args: grid_size: The grid size in Å^-1. Returns: A (n, ) int array containing the indices of uniformly spaced faces. """ from ifermi.analysis import sample_surface_uniform return sample_surface_uniform(self.vertices, self.faces, grid_size) def __repr__(self): rep = [ f"Isosurface(nvertices={len(self.vertices)}, " f"nfaces={len(self.faces)}, band_idx={self.band_idx}", ] if self.dimensionality is not None: rep.append(f", dim={self.dimensionality}") if self.orientation is not None: rep.append(f", orientation={self.orientation}") rep.append(")") return "".join(rep) @dataclass class FermiSurface(MSONable): """ A FermiSurface object contains isosurfaces and the reciprocal lattice definition. Attributes: isosurfaces: A dict containing a list of isosurfaces for each spin channel. reciprocal_space: A reciprocal space defining periodic boundary conditions. structure: The structure. """ isosurfaces: Dict[Spin, List[Isosurface]] reciprocal_space: ReciprocalCell structure: Structure @property def n_surfaces(self) -> int: """Number of isosurfaces in the Fermi surface.""" return sum(self.n_surfaces_per_spin.values()) @property def n_surfaces_per_band(self) -> Dict[Spin, Dict[int, int]]: """ Get number of surfaces for each band index for each spin channel. Returned as a dict of ``{spin: {band_idx: count}}``. """ from collections import Counter n_surfaces = {} for spin, isosurfaces in self.isosurfaces.items(): n_surfaces[spin] = dict(Counter([s.band_idx for s in isosurfaces])) return n_surfaces @property def n_surfaces_per_spin(self) -> Dict[Spin, int]: """ Get number of surfaces per spin channel. Returned as a dict of ``{spin: count}``. """ return {spin: len(surfaces) for spin, surfaces in self.isosurfaces.items()} @property def area(self) -> float: r"""Total area of all isosurfaces in the Fermi surface in Å\ :sup:`-2`\ .""" return sum(map(sum, self.area_surfaces.values())) @property def area_surfaces(self) -> Dict[Spin, np.ndarray]: r"""Area of each isosurface in the Fermi surface in Å\ :sup:`-2`\ .""" return {k: np.array([i.area for i in v]) for k, v in self.isosurfaces.items()} @property def has_properties(self) -> bool: """Whether all isosurfaces have face properties.""" return all( [all([i.has_properties for i in s]) for s in self.isosurfaces.values()] ) def average_properties( self, norm: bool = False, projection_axis: Optional[Tuple[int, int, int]] = None ) -> Union[float, np.ndarray]: """ Average property across the full Fermi surface. Args: norm: Average the norm of the properties (vector properties only). projection_axis: A (3, ) in array of the axis to project the properties onto (vector properties only). Returns: The averaged property. """ surface_averages = self.average_properties_surfaces(norm, projection_axis) surface_areas = self.area_surfaces scaled_average = 0 total_area = 0 for spin in self.spins: for average, area in zip(surface_averages[spin], surface_areas[spin]): scaled_average += average * area total_area += area return scaled_average / total_area def average_properties_surfaces( self, norm: bool = False, projection_axis: Optional[Tuple[int, int, int]] = None ) -> Dict[Spin, List[Union[float, np.ndarray]]]: """ Average property for each isosurface in the Fermi surface. Args: norm: Average the norm of the properties (vector properties only). projection_axis: A (3, ) in array of the axis to project the properties onto (vector properties only). Returns: The averaged property for each surface in each spin channel. """ return { k: [i.average_properties(norm, projection_axis) for i in v] for k, v in self.isosurfaces.items() } @property def properties_ndim(self) -> int: """Dimensionality of isosurface properties.""" if not self.has_properties: raise ValueError("Isosurfaces don't have properties.") ndims = [i.properties_ndim for v in self.isosurfaces.values() for i in v] if len(set(ndims)) != 1: warnings.warn( "Isosurfaces have different property dimensions, using the largest." ) return max(ndims) @property def spins(self): """The spin channels in the Fermi surface.""" return tuple(self.isosurfaces.keys()) def all_vertices_faces( self, spins: Optional[Union[Spin, Collection[Spin]]] = None, band_index: Optional[Union[int, list, dict]] = None, ) -> List[Tuple[np.ndarray, np.ndarray]]: """ Get the vertices and faces for all isosurfaces. Args: spins: One or more spin channels to select. Default is all spins available. band_index: A choice of band indices (0-based). Valid options are: - A single integer, which will select that band index in both spin channels (if both spin channels are present). - A list of integers, which will select that set of bands from both spin channels (if both a present). - A dictionary of ``{Spin.up: band_index_1, Spin.down: band_index_2}``, where band_index_1 and band_index_2 are either single integers (if one wishes to plot a single band for that particular spin) or a list of integers. Note that the choice of integer and list can be different for different spin channels. - ``None`` in which case all bands will be selected. Returns: A list of (vertices, faces). """ if not spins: spins = self.spins elif isinstance(spins, Spin): spins = [spins] vertices_faces = [] if band_index is None: band_index = { spin: [i.band_idx for i in isosurfaces] for spin, isosurfaces in self.isosurfaces.items() } if not isinstance(band_index, dict): band_index = {spin: band_index for spin in spins} for spin, spin_index in band_index.items(): if isinstance(spin_index, int): band_index[spin] = [spin_index] for spin in spins: for isosurface in self.isosurfaces[spin]: if spin in band_index and isosurface.band_idx in band_index[spin]: vertices_faces.append((isosurface.vertices, isosurface.faces)) return vertices_faces def all_properties( self, spins: Optional[Union[Spin, Collection[Spin]]] = None, band_index: Optional[Union[int, list, dict]] = None, projection_axis: Optional[Tuple[int, int, int]] = None, norm: bool = False, ) -> List[np.ndarray]: """ Get the properties for all isosurfaces. Args: spins: One or more spin channels to select. Default is all spins available. band_index: A choice of band indices (0-based). Valid options are: - A single integer, which will select that band index in both spin channels (if both spin channels are present). - A list of integers, which will select that set of bands from both spin channels (if both a present). - A dictionary of ``{Spin.up: band_index_1, Spin.down: band_index_2}``, where band_index_1 and band_index_2 are either single integers (if one wishes to plot a single band for that particular spin) or a list of integers. Note that the choice of integer and list can be different for different spin channels. - ``None`` in which case all bands will be selected. projection_axis: A (3, ) in array of the axis to project the properties onto (vector properties only). norm: Calculate the norm of the properties (vector properties only). Ignored if ``projection_axis`` is set. Returns: A list of properties arrays for each isosurface. """ if not spins: spins = self.spins elif isinstance(spins, Spin): spins = [spins] projections = [] if band_index is None: band_index = { spin: [i.band_idx for i in isosurfaces] for spin, isosurfaces in self.isosurfaces.items() } if not isinstance(band_index, dict): band_index = {spin: band_index for spin in spins} for spin, spin_index in band_index.items(): if isinstance(spin_index, int): band_index[spin] = [spin_index] for spin in spins: for isosurface in self.isosurfaces[spin]: if spin in band_index and isosurface.band_idx in band_index[spin]: if projection_axis is not None: projections.append( isosurface.scalar_projection(projection_axis) ) elif norm: projections.append(isosurface.properties_norms) else: projections.append(isosurface.properties) return projections @classmethod def from_band_structure( cls, band_structure: BandStructure, mu: float = 0.0, wigner_seitz: bool = False, decimate_factor: Optional[float] = None, decimate_method: str = "quadric", smooth: bool = False, property_data: Optional[Dict[Spin, np.ndarray]] = None, property_kpoints: Optional[np.ndarray] = None, calculate_dimensionality: bool = False, ) -> "FermiSurface": """ Create a FermiSurface from a pymatgen band structure object. Args: band_structure: A band structure. The k-points must cover the full Brillouin zone (i.e., not just be the irreducible mesh). Use the ``ifermi.interpolator.FourierInterpolator`` class to expand the k-points to the full Brillouin zone if required. mu: Energy offset from the Fermi energy at which the isosurface is calculated. wigner_seitz: Controls whether the cell is the Wigner-Seitz cell or the reciprocal unit cell parallelepiped. decimate_factor: If method is "quadric", and factor is a floating point value then factor is the scaling factor by which to reduce the number of faces. I.e., final # faces = initial # faces * factor. If method is "quadric" but factor is an integer then factor is the target number of final faces. If method is "cluster", factor is the voxel size in which to cluster points. Default is None (no decimation). decimate_method: Algorithm to use for decimation. Options are "quadric" or "cluster". smooth: If True, will smooth resulting isosurface. Requires PyMCubes. See compute_isosurfaces for more information. property_data: A property to project onto the Fermi surface. It should be given as a dict of ``{spin: properties}``, where properties is numpy array with shape (nbands, nkpoints, ...). The number of bands should equal the number of bands in the band structure but the k-point mesh can be different. Must be used in combination with ``kpoints``. property_kpoints: The k-points on which the data is generated. Must be used in combination with ``data``. calculate_dimensionality: Whether to calculate isosurface dimensionalities. Returns: A Fermi surface. """ from ifermi.kpoints import get_kpoint_mesh_dim, kpoints_from_bandstructure band_structure = deepcopy(band_structure) # prevent data getting overwritten structure = band_structure.structure fermi_level = band_structure.efermi + mu bands = band_structure.bands kpoints = kpoints_from_bandstructure(band_structure) kpoint_dim = get_kpoint_mesh_dim(kpoints) if np.product(kpoint_dim) != len(kpoints): raise ValueError( "Number of k-points ({}) in band structure does not match number of " "k-points expected from mesh dimensions ({})".format( len(band_structure.kpoints), np.product(kpoint_dim) ) ) if wigner_seitz: reciprocal_space = WignerSeitzCell.from_structure(structure) else: reciprocal_space = ReciprocalCell.from_structure(structure) interpolator = None if property_data is not None and property_kpoints is not None: interpolator = LinearInterpolator(property_kpoints, property_data) elif property_data is not None or property_kpoints is not None: raise ValueError("Both data and kpoints must be specified.") bands, kpoints = expand_bands( bands, kpoints, supercell_dim=(3, 3, 3), center=(1, 1, 1) ) if isinstance(decimate_factor, int): # increase number of target faces to account for 3x3x3 supercell decimate_factor *= 27 isosurfaces = compute_isosurfaces( bands, kpoints, fermi_level, reciprocal_space, decimate_factor=decimate_factor, decimate_method=decimate_method, smooth=smooth, calculate_dimensionality=calculate_dimensionality, property_interpolator=interpolator, ) return cls(isosurfaces, reciprocal_space, structure) def get_fermi_slice(self, plane_normal: Tuple[int, int, int], distance: float = 0): """ Get a slice through the Fermi surface. Slice defined by the intersection of a plane with the Fermi surface. Args: plane_normal: (3, ) int array of the plane normal in fractional indices. distance: The distance from the center of the Brillouin zone (Γ-point). Returns: The Fermi slice. """ from ifermi.slice import FermiSlice return FermiSlice.from_fermi_surface(self, plane_normal, distance=distance) @classmethod def from_dict(cls, d) -> "FermiSurface": """Return FermiSurface object from dict.""" fs = super().from_dict(d) fs.isosurfaces = {Spin(int(k)): v for k, v in fs.isosurfaces.items()} return fs def as_dict(self) -> dict: """Get a json-serializable dict representation of FermiSurface.""" d = super().as_dict() d["isosurfaces"] = {str(spin): iso for spin, iso in self.isosurfaces.items()} return jsanitize(d, strict=True) def compute_isosurfaces( bands: Dict[Spin, np.ndarray], kpoints: np.ndarray, fermi_level: float, reciprocal_space: ReciprocalCell, decimate_factor: Optional[float] = None, decimate_method: str = "quadric", smooth: bool = False, calculate_dimensionality: bool = False, property_interpolator: Optional[LinearInterpolator] = None, ) -> Dict[Spin, List[Isosurface]]: """ Compute the isosurfaces at a particular energy level. Args: bands: The band energies, given as a dictionary of ``{spin: energies}``, where energies has the shape (nbands, nkpoints). kpoints: The k-points in fractional coordinates. fermi_level: The energy at which to calculate the Fermi surface. reciprocal_space: The reciprocal space representation. decimate_factor: If method is "quadric", and factor is a floating point value then factor is the scaling factor by which to reduce the number of faces. I.e., final # faces = initial # faces * factor. If method is "quadric" but factor is an integer then factor is the target number of final faces. If method is "cluster", factor is the voxel size in which to cluster points. Default is None (no decimation). decimate_method: Algorithm to use for decimation. Options are "quadric" or "cluster". smooth: If True, will smooth resulting isosurface. Requires PyMCubes. Smoothing algorithm will use constrained smoothing algorithm to preserve fine details if input dimension is lower than (500, 500, 500), otherwise will apply a Gaussian filter. calculate_dimensionality: Whether to calculate isosurface dimensionality. property_interpolator: An interpolator class for interpolating properties onto the surface. If ``None``, no properties will be calculated. Returns: A dictionary containing a list of isosurfaces for each spin channel. """ from ifermi.kpoints import get_kpoint_mesh_dim, get_kpoint_spacing # sort k-points to be in the correct order order = np.lexsort((kpoints[:, 2], kpoints[:, 1], kpoints[:, 0])) kpoints = kpoints[order] bands = {s: b[:, order] for s, b in bands.items()} kpoint_dim = get_kpoint_mesh_dim(kpoints) spacing = get_kpoint_spacing(kpoints) reference = np.min(kpoints, axis=0) isosurfaces = {} for spin, ebands in bands.items(): ebands -= fermi_level spin_isosurface = [] for band_idx, energies in enumerate(ebands): if not np.nanmax(energies) > 0 > np.nanmin(energies): # if band doesn't cross the Fermi level then skip it continue band_isosurfaces = _calculate_band_isosurfaces( spin, band_idx, energies, kpoint_dim, spacing, reference, reciprocal_space, decimate_factor, decimate_method, smooth, calculate_dimensionality, property_interpolator, ) spin_isosurface.extend(band_isosurfaces) isosurfaces[spin] = spin_isosurface return isosurfaces def _calculate_band_isosurfaces( spin: Spin, band_idx: int, energies: np.ndarray, kpoint_dim: Tuple[int, int, int], spacing: np.ndarray, reference: np.ndarray, reciprocal_space: ReciprocalCell, decimate_factor: Optional[float], decimate_method: str, smooth: bool, calculate_dimensionality: bool, property_interpolator: Optional[LinearInterpolator], ): """Helper function to calculate the connected isosurfaces for a band.""" from skimage.measure import marching_cubes from ifermi.analysis import ( connected_subsurfaces, equivalent_surfaces, isosurface_dimensionality, ) rlat = reciprocal_space.reciprocal_lattice if smooth and mcubes is None: smooth = False warnings.warn("Smoothing disabled, install PyMCubes to enable smoothing.") if decimate_factor is not None and open3d is None: decimate_factor = None warnings.warn("Decimation disabled, install open3d to enable decimation.") band_data = energies.reshape(kpoint_dim) if smooth: smoothed_band_data = mcubes.smooth(band_data) verts, faces = mcubes.marching_cubes(smoothed_band_data, 0) # have to manually set spacing with PyMCubes verts *= spacing # comes out as np.uint64, but trimesh doesn't like this faces = faces.astype(np.int32) else: verts, faces, _, _ = marching_cubes(band_data, 0, spacing=spacing) if decimate_factor: verts, faces = decimate_mesh( verts, faces, decimate_factor, method=decimate_method ) verts += reference # break the isosurface into connected subsurfaces subsurfaces = connected_subsurfaces(verts, faces) if calculate_dimensionality: # calculate dimensionality of periodically equivalent surfaces. dimensionalities = {} mapping = equivalent_surfaces([s[0] for s in subsurfaces]) for idx in mapping: dimensionalities[idx] = isosurface_dimensionality(*subsurfaces[idx]) else: dimensionalities = None mapping = np.zeros(len(subsurfaces)) isosurfaces = [] dimensionality = None orientation = None properties = None for (subverts, subfaces), idx in zip(subsurfaces, mapping): # convert vertices to cartesian coordinates subverts = np.dot(subverts, rlat) subverts, subfaces = trim_surface(reciprocal_space, subverts, subfaces) if len(subverts) == 0: # skip surfaces that do not enter the reciprocal space boundaries continue if calculate_dimensionality: dimensionality, orientation = dimensionalities[idx] if property_interpolator is not None: properties = face_properties( property_interpolator, subverts, subfaces, band_idx, spin, rlat ) isosurface = Isosurface( vertices=subverts, faces=subfaces, band_idx=band_idx, properties=properties, dimensionality=dimensionality, orientation=orientation, ) isosurfaces.append(isosurface) return isosurfaces def trim_surface( reciprocal_cell: ReciprocalCell, vertices: np.ndarray, faces: np.ndarray ) -> Tuple[np.ndarray, np.ndarray]: """ Trim the surface to remove parts outside the cell boundaries. Will add new triangles at the boundary edges as necessary to produce a smooth surface. Args: reciprocal_cell: The reciprocal space object. vertices: A (n, 3) float array of the vertices in the isosurface. faces: A (m, 3) int array of the faces of the isosurface. Returns: (vertices, faces) of the trimmed surface. """ from trimesh.intersections import slice_faces_plane for center, normal in zip(reciprocal_cell.centers, reciprocal_cell.normals): vertices, faces = slice_faces_plane(vertices, faces, -normal, center) return vertices, faces def expand_bands( bands: Dict[Spin, np.ndarray], fractional_kpoints: np.ndarray, supercell_dim: Tuple[int, int, int] = (3, 3, 3), center: Tuple[int, int, int] = (0, 0, 0), ) -> Tuple[Dict[Spin, np.ndarray], np.ndarray]: """ Expand the band energies and k-points with periodic boundary conditions. Args: bands: The band energies, given as a dictionary of ``{spin: energies}``, where energies has the shape (nbands, nkpoints). fractional_kpoints: A (n, 3) float array of the fractional k-point coordinates. supercell_dim: The supercell mesh dimensions. center: The cell on which the supercell is centered. Returns: (energies, kpoints) The expanded band energies and k-points. """ final_ebands = {} nk = len(fractional_kpoints) ncells = np.product(supercell_dim) final_kpoints = np.tile(fractional_kpoints, (ncells, 1)) for n, (i, j, k) in enumerate(np.ndindex(supercell_dim)): final_kpoints[n * nk : (n + 1) * nk] += [i, j, k] final_kpoints -= center for spin, ebands in bands.items(): final_ebands[spin] = np.tile(ebands, (1, ncells)) return final_ebands, final_kpoints def face_properties( interpolator: LinearInterpolator, vertices: np.ndarray, faces: np.ndarray, band_idx: int, spin: Spin, reciprocal_lattice: np.ndarray, ) -> np.ndarray: """ Interpolate properties data onto the Fermi surfaces. Args: interpolator: Periodic interpolator for property data. vertices: A (n, 3) float array of the vertices in the isosurface. faces: A (m, 3) int array of the faces of the isosurface. band_idx: The band that the isosurface belongs to. spin: The spin channel the isosurface belongs to. reciprocal_lattice: Reciprocal lattice matrix Returns: A (m, ...) float array of the interpolated properties at the center of each face in the isosurface. """ from ifermi.kpoints import kpoints_to_first_bz # get the center of each of face in fractional coords inv_lattice = np.linalg.inv(reciprocal_lattice) face_verts = np.dot(vertices, inv_lattice)[faces] centers = face_verts.mean(axis=1) # convert to 1st BZ centers = kpoints_to_first_bz(centers) # get interpolated properties at center of faces band_idxs = np.full(len(centers), band_idx) return interpolator.interpolate(spin, band_idxs, centers) @requires(open3d, "open3d package is required for mesh decimation") def decimate_mesh( vertices: np.ndarray, faces: np.ndarray, factor: Union[int, float], method="quadric" ): """Decimate mesh to reduce the number of triangles and vertices. The open3d package is required for decimation. Args: vertices: A (n, 3) float array of the vertices in the isosurface. faces: A (m, 3) int array of the faces of the isosurface. factor: If method is "quadric", and factor is a floating point value then factor is the scaling factor by which to reduce the number of faces. I.e., final # faces = initial # faces * factor. If method is "quadric" but factor is an integer then factor is the target number of final faces. If method is "cluster", factor is the voxel size in which to cluster points. method: Algorithm to use for decimation. Options are "quadric" or "cluster". Returns: (vertices, faces) of the decimated mesh. """ # convert mesh to open3d format o3d_verts = open3d.utility.Vector3dVector(vertices) o3d_faces = open3d.utility.Vector3iVector(faces) o3d_mesh = open3d.geometry.TriangleMesh(o3d_verts, o3d_faces) # decimate mesh if method == "quadric": if isinstance(factor, int): n_target_triangles = min(factor, len(faces)) else: n_target_triangles = int(len(faces) * factor) o3d_new_mesh = o3d_mesh.simplify_quadric_decimation(n_target_triangles) else: cluster_type = open3d.geometry.SimplificationContraction.Quadric o3d_new_mesh = o3d_mesh.simplify_vertex_clustering(factor, cluster_type) return np.array(o3d_new_mesh.vertices), np.array(o3d_new_mesh.triangles)

37.26021

95

0.634755

277d998d5b5f38401334468053b0215094f5f89a

18,857

py

Python

oauth2app/migrations/0001_initial.py

mliu7/django-oauth2app

4daa587fa43b9fd1480180b827973e1bb7081adf

[ "MIT" ]

null

oauth2app/migrations/0001_initial.py

mliu7/django-oauth2app

4daa587fa43b9fd1480180b827973e1bb7081adf

[ "MIT" ]

null

oauth2app/migrations/0001_initial.py

mliu7/django-oauth2app

4daa587fa43b9fd1480180b827973e1bb7081adf

[ "MIT" ]

null

# -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Client' db.create_table('oauth2app_client', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True, db_index=True)), ('status', self.gf('django.db.models.fields.IntegerField')(default=1)), ('submitted_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='client_submitted_by', null=True, to=orm['auth.User'])), ('approved_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='client_approved_by', null=True, to=orm['auth.User'])), ('removed_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='client_removed_by', null=True, to=orm['auth.User'])), ('submitted_time', self.gf('django.db.models.fields.DateTimeField')(db_index=True, null=True, blank=True)), ('approved_time', self.gf('django.db.models.fields.DateTimeField')(null=True, blank=True)), ('removed_time', self.gf('django.db.models.fields.DateTimeField')(null=True, blank=True)), ('submission_message', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)), ('removal_message', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)), ('auto_approve', self.gf('django.db.models.fields.BooleanField')(default=False)), ('counts_towards_contributions', self.gf('django.db.models.fields.BooleanField')(default=True)), ('action_taken', self.gf('django.db.models.fields.IntegerField')(default=1)), ('action_by', self.gf('django.db.models.fields.related.ForeignKey')(blank=True, related_name='client_action_by', null=True, to=orm['auth.User'])), ('action_time', self.gf('django.db.models.fields.DateTimeField')(db_index=True, null=True, blank=True)), ('action_message', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)), ('is_head', self.gf('django.db.models.fields.BooleanField')(default=True)), ('points_to_id', self.gf('django.db.models.fields.PositiveIntegerField')(db_index=True, null=True, blank=True)), ('primary_merge_from_id', self.gf('django.db.models.fields.PositiveIntegerField')(db_index=True, null=True, blank=True)), ('secondary_merge_from_id', self.gf('django.db.models.fields.PositiveIntegerField')(db_index=True, null=True, blank=True)), ('merge_event', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['trackable_object.MergeEvent'], null=True, blank=True)), ('cache_time', self.gf('django.db.models.fields.DateTimeField')(null=True, blank=True)), ('real_type', self.gf('django.db.models.fields.related.ForeignKey')(related_name='client_real_type', null=True, to=orm['contenttypes.ContentType'])), ('name', self.gf('django.db.models.fields.CharField')(max_length=256)), ('user', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['auth.User'])), ('description', self.gf('django.db.models.fields.TextField')(null=True, blank=True)), ('website', self.gf('django.db.models.fields.URLField')(max_length=256, blank=True)), ('key', self.gf('django.db.models.fields.CharField')(default='597b76c283590c42c00c59aa67a5b7', max_length=30, db_index=True)), ('secret', self.gf('django.db.models.fields.CharField')(default='943a045473d860d4f3aa9f6d48b565', max_length=30)), ('redirect_uri', self.gf('oauth2app.models.CustomURLField')(max_length=200, null=True, blank=True)), )) db.send_create_signal('oauth2app', ['Client']) # Adding model 'AccessRange' db.create_table('oauth2app_accessrange', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('key', self.gf('django.db.models.fields.CharField')(unique=True, max_length=255, db_index=True)), ('description', self.gf('django.db.models.fields.TextField')(blank=True)), )) db.send_create_signal('oauth2app', ['AccessRange']) # Adding model 'AccessToken' db.create_table('oauth2app_accesstoken', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('client', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['oauth2app.Client'])), ('user', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['auth.User'])), ('token', self.gf('django.db.models.fields.CharField')(default='8014e71be2', unique=True, max_length=10, db_index=True)), ('refresh_token', self.gf('django.db.models.fields.CharField')(null=True, default='b57d49430c', max_length=10, blank=True, unique=True, db_index=True)), ('mac_key', self.gf('django.db.models.fields.CharField')(default=None, max_length=20, unique=True, null=True, blank=True)), ('issue', self.gf('django.db.models.fields.PositiveIntegerField')(default=1351897074)), ('expire', self.gf('django.db.models.fields.PositiveIntegerField')(default=1352501874)), ('refreshable', self.gf('django.db.models.fields.BooleanField')(default=True)), )) db.send_create_signal('oauth2app', ['AccessToken']) # Adding M2M table for field scope on 'AccessToken' db.create_table('oauth2app_accesstoken_scope', ( ('id', models.AutoField(verbose_name='ID', primary_key=True, auto_created=True)), ('accesstoken', models.ForeignKey(orm['oauth2app.accesstoken'], null=False)), ('accessrange', models.ForeignKey(orm['oauth2app.accessrange'], null=False)) )) db.create_unique('oauth2app_accesstoken_scope', ['accesstoken_id', 'accessrange_id']) # Adding model 'Code' db.create_table('oauth2app_code', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('client', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['oauth2app.Client'])), ('user', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['auth.User'])), ('key', self.gf('django.db.models.fields.CharField')(default='7a8026e92e098bab01e5211b92b34a', unique=True, max_length=30, db_index=True)), ('issue', self.gf('django.db.models.fields.PositiveIntegerField')(default=1351897074)), ('expire', self.gf('django.db.models.fields.PositiveIntegerField')(default=1351897194)), ('redirect_uri', self.gf('django.db.models.fields.URLField')(max_length=200, null=True, blank=True)), )) db.send_create_signal('oauth2app', ['Code']) # Adding M2M table for field scope on 'Code' db.create_table('oauth2app_code_scope', ( ('id', models.AutoField(verbose_name='ID', primary_key=True, auto_created=True)), ('code', models.ForeignKey(orm['oauth2app.code'], null=False)), ('accessrange', models.ForeignKey(orm['oauth2app.accessrange'], null=False)) )) db.create_unique('oauth2app_code_scope', ['code_id', 'accessrange_id']) # Adding model 'MACNonce' db.create_table('oauth2app_macnonce', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('access_token', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['oauth2app.AccessToken'])), ('nonce', self.gf('django.db.models.fields.CharField')(max_length=30, db_index=True)), )) db.send_create_signal('oauth2app', ['MACNonce']) def backwards(self, orm): # Deleting model 'Client' db.delete_table('oauth2app_client') # Deleting model 'AccessRange' db.delete_table('oauth2app_accessrange') # Deleting model 'AccessToken' db.delete_table('oauth2app_accesstoken') # Removing M2M table for field scope on 'AccessToken' db.delete_table('oauth2app_accesstoken_scope') # Deleting model 'Code' db.delete_table('oauth2app_code') # Removing M2M table for field scope on 'Code' db.delete_table('oauth2app_code_scope') # Deleting model 'MACNonce' db.delete_table('oauth2app_macnonce') models = { 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, 'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'oauth2app.accessrange': { 'Meta': {'object_name': 'AccessRange'}, 'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'key': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'}) }, 'oauth2app.accesstoken': { 'Meta': {'object_name': 'AccessToken'}, 'client': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['oauth2app.Client']"}), 'expire': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1352501874'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'issue': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1351897074'}), 'mac_key': ('django.db.models.fields.CharField', [], {'default': 'None', 'max_length': '20', 'unique': 'True', 'null': 'True', 'blank': 'True'}), 'refresh_token': ('django.db.models.fields.CharField', [], {'null': 'True', 'default': "'90069a68cb'", 'max_length': '10', 'blank': 'True', 'unique': 'True', 'db_index': 'True'}), 'refreshable': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'scope': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['oauth2app.AccessRange']", 'symmetrical': 'False'}), 'token': ('django.db.models.fields.CharField', [], {'default': "'b2d6563cc8'", 'unique': 'True', 'max_length': '10', 'db_index': 'True'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}) }, 'oauth2app.client': { 'Meta': {'object_name': 'Client'}, 'action_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'client_action_by'", 'null': 'True', 'to': "orm['auth.User']"}), 'action_message': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}), 'action_taken': ('django.db.models.fields.IntegerField', [], {'default': '1'}), 'action_time': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'approved_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'client_approved_by'", 'null': 'True', 'to': "orm['auth.User']"}), 'approved_time': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), 'auto_approve': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'cache_time': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), 'counts_towards_contributions': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True', 'db_index': 'True'}), 'is_head': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'key': ('django.db.models.fields.CharField', [], {'default': "'142e948dc037708d27ed48e7cec3c4'", 'max_length': '30', 'db_index': 'True'}), 'merge_event': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['trackable_object.MergeEvent']", 'null': 'True', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '256'}), 'points_to_id': ('django.db.models.fields.PositiveIntegerField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'primary_merge_from_id': ('django.db.models.fields.PositiveIntegerField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'real_type': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'client_real_type'", 'null': 'True', 'to': "orm['contenttypes.ContentType']"}), 'redirect_uri': ('oauth2app.models.CustomURLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'removal_message': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}), 'removed_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'client_removed_by'", 'null': 'True', 'to': "orm['auth.User']"}), 'removed_time': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}), 'secondary_merge_from_id': ('django.db.models.fields.PositiveIntegerField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'secret': ('django.db.models.fields.CharField', [], {'default': "'4b3772cd1a84437e681f051d7b7d69'", 'max_length': '30'}), 'status': ('django.db.models.fields.IntegerField', [], {'default': '1'}), 'submission_message': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}), 'submitted_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'client_submitted_by'", 'null': 'True', 'to': "orm['auth.User']"}), 'submitted_time': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}), 'website': ('django.db.models.fields.URLField', [], {'max_length': '256', 'blank': 'True'}) }, 'oauth2app.code': { 'Meta': {'object_name': 'Code'}, 'client': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['oauth2app.Client']"}), 'expire': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1351897194'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'issue': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1351897074'}), 'key': ('django.db.models.fields.CharField', [], {'default': "'a44cd324b8f1f125c0faf31a741c75'", 'unique': 'True', 'max_length': '30', 'db_index': 'True'}), 'redirect_uri': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}), 'scope': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['oauth2app.AccessRange']", 'symmetrical': 'False'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}) }, 'oauth2app.macnonce': { 'Meta': {'object_name': 'MACNonce'}, 'access_token': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['oauth2app.AccessToken']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'nonce': ('django.db.models.fields.CharField', [], {'max_length': '30', 'db_index': 'True'}) }, 'trackable_object.mergeevent': { 'Meta': {'object_name': 'MergeEvent'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True', 'db_index': 'True'}) } } complete_apps = ['oauth2app']

78.570833

191

0.609641

c1ef13eb122d46411ee941ae1aeb9ba2d31dcb43

1,862

py

Python

indy_client/test/scripts/test_reset_client.py

sergeykupryushin/indy-node

3162c5750e99af3512218d5843ba065c7d0f07db

[ "Apache-2.0" ]

1

2018-07-05T19:34:29.000Z

indy_client/test/scripts/test_reset_client.py

sergeykupryushin/indy-node

3162c5750e99af3512218d5843ba065c7d0f07db

[ "Apache-2.0" ]

null

indy_client/test/scripts/test_reset_client.py

sergeykupryushin/indy-node

3162c5750e99af3512218d5843ba065c7d0f07db

[ "Apache-2.0" ]

1

2021-06-06T15:48:30.000Z

import os from plenum.common.util import randomString from indy_client.script_helper import performIndyBaseDirCleanup, \ keepFilesInClientReset from indy_client.test.cli.conftest import aliceCLI, CliBuilder, cliTempLogger def createRandomDirsAndFiles(baseDir): dirsCreated = [] filesCreated = [] def create(path, file=False, dir=False): if not os.path.exists(path): if dir: os.mkdir(path) dirsCreated.append(path) elif file: with open(path, 'w+') as f: f.write(randomString(20)) filesCreated.append(path) for n in range(1, 10): path = os.path.join(baseDir, randomString(5)) if n % 2 == 0: create(path, file=True, dir=False) else: create(path, file=False, dir=True) return dirsCreated, filesCreated def getCurrentDirAndFiles(baseDir): dirs = [] files = [] for name in os.listdir(baseDir): path = os.path.join(baseDir, name) if os.path.isdir(name): dirs.append(path) else: files.append(name) return dirs, files def testResetClient(tconf, aliceCLI): newDirs, newFiels = createRandomDirsAndFiles(tconf.CLI_BASE_DIR) beforeCleanupDirs, beforeCleanupFiles = getCurrentDirAndFiles( tconf.CLI_BASE_DIR) backupDir = performIndyBaseDirCleanup(tconf.CLI_BASE_DIR) afterCleanupDirs, afterCleanupFiles = getCurrentDirAndFiles(tconf.CLI_BASE_DIR) backedupDirs, backedupFiles = getCurrentDirAndFiles(backupDir) for name in os.listdir(tconf.CLI_BASE_DIR): assert name in keepFilesInClientReset assert newDirs not in afterCleanupDirs assert newFiels not in afterCleanupFiles assert beforeCleanupDirs == backedupDirs assert beforeCleanupFiles == backedupFiles

31.033333

83

0.669173

aec1315448224cf27c9887db6eb3fb57d0c08448

492

py

Python

tests/cpp/backends/llvm/cpu_aot.py

weiyunfei/taichi

52a7cd8325672bc160e5540e54064c960c78256d

[ "MIT" ]

1

2020-11-10T07:17:01.000Z

tests/cpp/backends/llvm/cpu_aot.py

weiyunfei/taichi

52a7cd8325672bc160e5540e54064c960c78256d

[ "MIT" ]

null

tests/cpp/backends/llvm/cpu_aot.py

weiyunfei/taichi

52a7cd8325672bc160e5540e54064c960c78256d

[ "MIT" ]

null

import os import taichi as ti def compile_aot(): ti.init(arch=ti.x64) @ti.kernel def run(base: int, arr: ti.types.ndarray()): for i in arr: arr[i] = base + i arr = ti.ndarray(int, shape=16) run(42, arr) assert "TAICHI_AOT_FOLDER_PATH" in os.environ.keys() dir_name = str(os.environ["TAICHI_AOT_FOLDER_PATH"]) m = ti.aot.Module(ti.x64) m.add_kernel(run, template_args={'arr': arr}) m.save(dir_name, 'x64-aot') compile_aot()

18.923077

56

0.617886

879ba0445d40151145886fdb6a71ee0acd014b41

2,202

py

Python

tests/test_style.py

Acribbs/trnamapper

db35e2eeec856d5e8f8a33d6fcb437c69f926ee6

[ "MIT" ]

1

2020-10-15T05:54:49.000Z

tests/test_style.py

Acribbs/trnamapper

db35e2eeec856d5e8f8a33d6fcb437c69f926ee6

[ "MIT" ]

16

2019-06-07T09:28:55.000Z

2020-03-16T08:17:44.000Z

tests/test_style.py

Acribbs/trnamapper

db35e2eeec856d5e8f8a33d6fcb437c69f926ee6

[ "MIT" ]

2

2019-06-07T09:21:33.000Z

2021-02-18T14:50:55.000Z

'''test_style - test coding style of CGAT code ============================================== :Author: Andreas Heger :Release: $Id$ :Date: |today| :Tags: Python Purpose ------- This script runs pep8 on all code in this repository. This script is best run within nosetests:: nosetests tests/test_style.py ''' import pep8 import glob import os from nose.tools import ok_ # DIRECTORIES to examine EXPRESSIONS = ( ('FirstLevel', 'trnanalysis/*.py'), ('SecondLevel', 'trnanalysis/python/*.py')) # Codes to ignore in the pep8 BaseReport IGNORE = set(('E101', # indentation contains mixed spaces and tabs 'E201', # whitespace after '(' 'E202', # whitespace before ')' 'E122', # continuation line missing indentation or outdented 'E265', # block comment should start with '# ' 'E501', # line too long (82 > 79 characters) 'E502', # the backslash is redundant between brackets 'E731', # do not assign a lambda expression, use a def 'W191', 'W291', 'W293', 'W391', 'W503', # line break before binary operator 'W601', 'W602', 'files', 'directories', 'physical lines', 'logical lines',)) def check_style(filename): '''check style of filename. ''' p = pep8.StyleGuide(quiet=True) report = p.check_files([filename]) # count errors/warning excluding # those to ignore take = [y for x, y in list(report.counters.items()) if x not in IGNORE] found = ['%s:%i' % (x, y) for x, y in list(report.counters.items()) if x not in IGNORE] total = sum(take) ok_(total == 0, 'pep8 style violations: %s' % ','.join(found)) def test_style(): '''test style of scripts ''' for label, expression in EXPRESSIONS: files = glob.glob(expression) files.sort() for f in files: if os.path.isdir(f): continue check_style.description = os.path.abspath(f) yield(check_style, os.path.abspath(f))

26.53012

75

0.549955

339ef444b83e8cf51330d13a853096c682ff319c

534,731

py

Python

AppKit/_metadata.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

AppKit/_metadata.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

AppKit/_metadata.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

# This file is generated by objective.metadata # # Last update: Sun Dec 3 10:52:51 2017 import objc, sys if sys.maxsize > 2 ** 32: def sel32or64(a, b): return b else: def sel32or64(a, b): return a if sys.byteorder == 'little': def littleOrBig(a, b): return a else: def littleOrBig(a, b): return b misc = { } misc.update({'NSOpenGLPixelFormatAuxiliary': objc.createStructType('NSOpenGLPixelFormatAuxiliary', b'{_CGLPixelFormatObject=}', []), 'NSScreenAuxiliaryOpaque': objc.createStructType('NSScreenAuxiliaryOpaque', b'{NSScreenAuxiliary=}', []), 'NSOpenGLContextAuxiliary': objc.createStructType('NSOpenGLContextAuxiliary', b'{_CGLContextObject=}', [])}) constants = '''$NSAFMAscender$NSAFMCapHeight$NSAFMCharacterSet$NSAFMDescender$NSAFMEncodingScheme$NSAFMFamilyName$NSAFMFontName$NSAFMFormatVersion$NSAFMFullName$NSAFMItalicAngle$NSAFMMappingScheme$NSAFMNotice$NSAFMUnderlinePosition$NSAFMUnderlineThickness$NSAFMVersion$NSAFMWeight$NSAFMXHeight$NSAbortModalException$NSAbortPrintingException$NSAboutPanelOptionApplicationIcon$NSAboutPanelOptionApplicationName$NSAboutPanelOptionApplicationVersion$NSAboutPanelOptionCredits$NSAboutPanelOptionVersion$NSAccessibilityActivationPointAttribute$NSAccessibilityAllowedValuesAttribute$NSAccessibilityAlternateUIVisibleAttribute$NSAccessibilityAnnotationElement$NSAccessibilityAnnotationLabel$NSAccessibilityAnnotationLocation$NSAccessibilityAnnotationTextAttribute$NSAccessibilityAnnouncementKey$NSAccessibilityAnnouncementRequestedNotification$NSAccessibilityApplicationActivatedNotification$NSAccessibilityApplicationDeactivatedNotification$NSAccessibilityApplicationHiddenNotification$NSAccessibilityApplicationRole$NSAccessibilityApplicationShownNotification$NSAccessibilityAscendingSortDirectionValue$NSAccessibilityAttachmentTextAttribute$NSAccessibilityAttributedStringForRangeParameterizedAttribute$NSAccessibilityAutocorrectedTextAttribute$NSAccessibilityBackgroundColorTextAttribute$NSAccessibilityBoundsForRangeParameterizedAttribute$NSAccessibilityBrowserRole$NSAccessibilityBusyIndicatorRole$NSAccessibilityButtonRole$NSAccessibilityCancelAction$NSAccessibilityCancelButtonAttribute$NSAccessibilityCellForColumnAndRowParameterizedAttribute$NSAccessibilityCellRole$NSAccessibilityCenterTabStopMarkerTypeValue$NSAccessibilityCentimetersUnitValue$NSAccessibilityCheckBoxRole$NSAccessibilityChildrenAttribute$NSAccessibilityClearButtonAttribute$NSAccessibilityCloseButtonAttribute$NSAccessibilityCloseButtonSubrole$NSAccessibilityCollectionListSubrole$NSAccessibilityColorWellRole$NSAccessibilityColumnCountAttribute$NSAccessibilityColumnHeaderUIElementsAttribute$NSAccessibilityColumnIndexRangeAttribute$NSAccessibilityColumnRole$NSAccessibilityColumnTitlesAttribute$NSAccessibilityColumnsAttribute$NSAccessibilityComboBoxRole$NSAccessibilityConfirmAction$NSAccessibilityContainsProtectedContentAttribute$NSAccessibilityContentListSubrole$NSAccessibilityContentsAttribute$NSAccessibilityCreatedNotification$NSAccessibilityCriticalValueAttribute$NSAccessibilityCustomTextAttribute$NSAccessibilityDecimalTabStopMarkerTypeValue$NSAccessibilityDecrementAction$NSAccessibilityDecrementArrowSubrole$NSAccessibilityDecrementButtonAttribute$NSAccessibilityDecrementPageSubrole$NSAccessibilityDefaultButtonAttribute$NSAccessibilityDefinitionListSubrole$NSAccessibilityDeleteAction$NSAccessibilityDescendingSortDirectionValue$NSAccessibilityDescriptionAttribute$NSAccessibilityDescriptionListSubrole$NSAccessibilityDialogSubrole$NSAccessibilityDisclosedByRowAttribute$NSAccessibilityDisclosedRowsAttribute$NSAccessibilityDisclosingAttribute$NSAccessibilityDisclosureLevelAttribute$NSAccessibilityDisclosureTriangleRole$NSAccessibilityDocumentAttribute$NSAccessibilityDrawerCreatedNotification$NSAccessibilityDrawerRole$NSAccessibilityEditedAttribute$NSAccessibilityEnabledAttribute$NSAccessibilityErrorCodeExceptionInfo$NSAccessibilityException$NSAccessibilityExpandedAttribute$NSAccessibilityExtrasMenuBarAttribute$NSAccessibilityFilenameAttribute$NSAccessibilityFirstLineIndentMarkerTypeValue$NSAccessibilityFloatingWindowSubrole$NSAccessibilityFocusedAttribute$NSAccessibilityFocusedUIElementAttribute$NSAccessibilityFocusedUIElementChangedNotification$NSAccessibilityFocusedWindowAttribute$NSAccessibilityFocusedWindowChangedNotification$NSAccessibilityFontFamilyKey$NSAccessibilityFontNameKey$NSAccessibilityFontSizeKey$NSAccessibilityFontTextAttribute$NSAccessibilityForegroundColorTextAttribute$NSAccessibilityFrontmostAttribute$NSAccessibilityFullScreenButtonAttribute$NSAccessibilityFullScreenButtonSubrole$NSAccessibilityGridRole$NSAccessibilityGroupRole$NSAccessibilityGrowAreaAttribute$NSAccessibilityGrowAreaRole$NSAccessibilityHandleRole$NSAccessibilityHandlesAttribute$NSAccessibilityHeadIndentMarkerTypeValue$NSAccessibilityHeaderAttribute$NSAccessibilityHelpAttribute$NSAccessibilityHelpTagCreatedNotification$NSAccessibilityHelpTagRole$NSAccessibilityHiddenAttribute$NSAccessibilityHorizontalOrientationValue$NSAccessibilityHorizontalScrollBarAttribute$NSAccessibilityHorizontalUnitDescriptionAttribute$NSAccessibilityHorizontalUnitsAttribute$NSAccessibilityHorizontialUnitDescriptionAttribute$NSAccessibilityHorizontialUnitsAttribute$NSAccessibilityIdentifierAttribute$NSAccessibilityImageRole$NSAccessibilityInchesUnitValue$NSAccessibilityIncrementAction$NSAccessibilityIncrementArrowSubrole$NSAccessibilityIncrementButtonAttribute$NSAccessibilityIncrementPageSubrole$NSAccessibilityIncrementorRole$NSAccessibilityIndexAttribute$NSAccessibilityInsertionPointLineNumberAttribute$NSAccessibilityLabelUIElementsAttribute$NSAccessibilityLabelValueAttribute$NSAccessibilityLanguageTextAttribute$NSAccessibilityLayoutAreaRole$NSAccessibilityLayoutChangedNotification$NSAccessibilityLayoutItemRole$NSAccessibilityLayoutPointForScreenPointParameterizedAttribute$NSAccessibilityLayoutSizeForScreenSizeParameterizedAttribute$NSAccessibilityLeftTabStopMarkerTypeValue$NSAccessibilityLevelIndicatorRole$NSAccessibilityLineForIndexParameterizedAttribute$NSAccessibilityLinkRole$NSAccessibilityLinkTextAttribute$NSAccessibilityLinkedUIElementsAttribute$NSAccessibilityListItemIndexTextAttribute$NSAccessibilityListItemLevelTextAttribute$NSAccessibilityListItemPrefixTextAttribute$NSAccessibilityListRole$NSAccessibilityMainAttribute$NSAccessibilityMainWindowAttribute$NSAccessibilityMainWindowChangedNotification$NSAccessibilityMarkedMisspelledTextAttribute$NSAccessibilityMarkerGroupUIElementAttribute$NSAccessibilityMarkerTypeAttribute$NSAccessibilityMarkerTypeDescriptionAttribute$NSAccessibilityMarkerUIElementsAttribute$NSAccessibilityMarkerValuesAttribute$NSAccessibilityMatteContentUIElementAttribute$NSAccessibilityMatteHoleAttribute$NSAccessibilityMatteRole$NSAccessibilityMaxValueAttribute$NSAccessibilityMenuBarAttribute$NSAccessibilityMenuBarItemRole$NSAccessibilityMenuBarRole$NSAccessibilityMenuButtonRole$NSAccessibilityMenuItemRole$NSAccessibilityMenuRole$NSAccessibilityMinValueAttribute$NSAccessibilityMinimizeButtonAttribute$NSAccessibilityMinimizeButtonSubrole$NSAccessibilityMinimizedAttribute$NSAccessibilityMisspelledTextAttribute$NSAccessibilityModalAttribute$NSAccessibilityMovedNotification$NSAccessibilityNextContentsAttribute$NSAccessibilityNumberOfCharactersAttribute$NSAccessibilityOrderedByRowAttribute$NSAccessibilityOrientationAttribute$NSAccessibilityOutlineRole$NSAccessibilityOutlineRowSubrole$NSAccessibilityOverflowButtonAttribute$NSAccessibilityPageRole$NSAccessibilityParentAttribute$NSAccessibilityPicasUnitValue$NSAccessibilityPickAction$NSAccessibilityPlaceholderValueAttribute$NSAccessibilityPointsUnitValue$NSAccessibilityPopUpButtonRole$NSAccessibilityPopoverRole$NSAccessibilityPositionAttribute$NSAccessibilityPressAction$NSAccessibilityPreviousContentsAttribute$NSAccessibilityPriorityKey$NSAccessibilityProgressIndicatorRole$NSAccessibilityProxyAttribute$NSAccessibilityRTFForRangeParameterizedAttribute$NSAccessibilityRadioButtonRole$NSAccessibilityRadioGroupRole$NSAccessibilityRaiseAction$NSAccessibilityRangeForIndexParameterizedAttribute$NSAccessibilityRangeForLineParameterizedAttribute$NSAccessibilityRangeForPositionParameterizedAttribute$NSAccessibilityRatingIndicatorSubrole$NSAccessibilityRelevanceIndicatorRole$NSAccessibilityRequiredAttribute$NSAccessibilityResizedNotification$NSAccessibilityRightTabStopMarkerTypeValue$NSAccessibilityRoleAttribute$NSAccessibilityRoleDescriptionAttribute$NSAccessibilityRowCollapsedNotification$NSAccessibilityRowCountAttribute$NSAccessibilityRowCountChangedNotification$NSAccessibilityRowExpandedNotification$NSAccessibilityRowHeaderUIElementsAttribute$NSAccessibilityRowIndexRangeAttribute$NSAccessibilityRowRole$NSAccessibilityRowsAttribute$NSAccessibilityRulerMarkerRole$NSAccessibilityRulerRole$NSAccessibilityScreenPointForLayoutPointParameterizedAttribute$NSAccessibilityScreenSizeForLayoutSizeParameterizedAttribute$NSAccessibilityScrollAreaRole$NSAccessibilityScrollBarRole$NSAccessibilitySearchButtonAttribute$NSAccessibilitySearchFieldSubrole$NSAccessibilitySearchMenuAttribute$NSAccessibilitySectionListSubrole$NSAccessibilitySecureTextFieldSubrole$NSAccessibilitySelectedAttribute$NSAccessibilitySelectedCellsAttribute$NSAccessibilitySelectedCellsChangedNotification$NSAccessibilitySelectedChildrenAttribute$NSAccessibilitySelectedChildrenChangedNotification$NSAccessibilitySelectedChildrenMovedNotification$NSAccessibilitySelectedColumnsAttribute$NSAccessibilitySelectedColumnsChangedNotification$NSAccessibilitySelectedRowsAttribute$NSAccessibilitySelectedRowsChangedNotification$NSAccessibilitySelectedTextAttribute$NSAccessibilitySelectedTextChangedNotification$NSAccessibilitySelectedTextRangeAttribute$NSAccessibilitySelectedTextRangesAttribute$NSAccessibilityServesAsTitleForUIElementsAttribute$NSAccessibilityShadowTextAttribute$NSAccessibilitySharedCharacterRangeAttribute$NSAccessibilitySharedFocusElementsAttribute$NSAccessibilitySharedTextUIElementsAttribute$NSAccessibilitySheetCreatedNotification$NSAccessibilitySheetRole$NSAccessibilityShowAlternateUIAction$NSAccessibilityShowDefaultUIAction$NSAccessibilityShowMenuAction$NSAccessibilityShownMenuAttribute$NSAccessibilitySizeAttribute$NSAccessibilitySliderRole$NSAccessibilitySortButtonRole$NSAccessibilitySortButtonSubrole$NSAccessibilitySortDirectionAttribute$NSAccessibilitySplitGroupRole$NSAccessibilitySplitterRole$NSAccessibilitySplittersAttribute$NSAccessibilityStandardWindowSubrole$NSAccessibilityStaticTextRole$NSAccessibilityStrikethroughColorTextAttribute$NSAccessibilityStrikethroughTextAttribute$NSAccessibilityStringForRangeParameterizedAttribute$NSAccessibilityStyleRangeForIndexParameterizedAttribute$NSAccessibilitySubroleAttribute$NSAccessibilitySuperscriptTextAttribute$NSAccessibilitySwitchSubrole$NSAccessibilitySystemDialogSubrole$NSAccessibilitySystemFloatingWindowSubrole$NSAccessibilitySystemWideRole$NSAccessibilityTabButtonSubrole$NSAccessibilityTabGroupRole$NSAccessibilityTableRole$NSAccessibilityTableRowSubrole$NSAccessibilityTabsAttribute$NSAccessibilityTailIndentMarkerTypeValue$NSAccessibilityTextAlignmentAttribute$NSAccessibilityTextAreaRole$NSAccessibilityTextAttachmentSubrole$NSAccessibilityTextFieldRole$NSAccessibilityTextLinkSubrole$NSAccessibilityTimelineSubrole$NSAccessibilityTitleAttribute$NSAccessibilityTitleChangedNotification$NSAccessibilityTitleUIElementAttribute$NSAccessibilityToggleSubrole$NSAccessibilityToolbarButtonAttribute$NSAccessibilityToolbarButtonSubrole$NSAccessibilityToolbarRole$NSAccessibilityTopLevelUIElementAttribute$NSAccessibilityUIElementDestroyedNotification$NSAccessibilityUIElementsKey$NSAccessibilityURLAttribute$NSAccessibilityUnderlineColorTextAttribute$NSAccessibilityUnderlineTextAttribute$NSAccessibilityUnitDescriptionAttribute$NSAccessibilityUnitsAttribute$NSAccessibilityUnitsChangedNotification$NSAccessibilityUnknownMarkerTypeValue$NSAccessibilityUnknownOrientationValue$NSAccessibilityUnknownRole$NSAccessibilityUnknownSortDirectionValue$NSAccessibilityUnknownSubrole$NSAccessibilityUnknownUnitValue$NSAccessibilityValueAttribute$NSAccessibilityValueChangedNotification$NSAccessibilityValueDescriptionAttribute$NSAccessibilityValueIndicatorRole$NSAccessibilityVerticalOrientationValue$NSAccessibilityVerticalScrollBarAttribute$NSAccessibilityVerticalUnitDescriptionAttribute$NSAccessibilityVerticalUnitsAttribute$NSAccessibilityVisibleCellsAttribute$NSAccessibilityVisibleCharacterRangeAttribute$NSAccessibilityVisibleChildrenAttribute$NSAccessibilityVisibleColumnsAttribute$NSAccessibilityVisibleNameKey$NSAccessibilityVisibleRowsAttribute$NSAccessibilityWarningValueAttribute$NSAccessibilityWindowAttribute$NSAccessibilityWindowCreatedNotification$NSAccessibilityWindowDeminiaturizedNotification$NSAccessibilityWindowMiniaturizedNotification$NSAccessibilityWindowMovedNotification$NSAccessibilityWindowResizedNotification$NSAccessibilityWindowRole$NSAccessibilityWindowsAttribute$NSAccessibilityZoomButtonAttribute$NSAccessibilityZoomButtonSubrole$NSAlignmentBinding$NSAllRomanInputSourcesLocaleIdentifier$NSAllowsEditingMultipleValuesSelectionBindingOption$NSAllowsNullArgumentBindingOption$NSAlternateImageBinding$NSAlternateTitleBinding$NSAlwaysPresentsApplicationModalAlertsBindingOption$NSAnimateBinding$NSAnimationDelayBinding$NSAnimationProgressMark$NSAnimationProgressMarkNotification$NSAnimationTriggerOrderIn$NSAnimationTriggerOrderOut$NSAntialiasThresholdChangedNotification$NSApp$NSAppKitIgnoredException$NSAppKitVersionNumber@d$NSAppKitVirtualMemoryException$NSAppearanceNameAqua$NSAppearanceNameLightContent$NSAppearanceNameVibrantDark$NSAppearanceNameVibrantLight$NSApplicationDidBecomeActiveNotification$NSApplicationDidChangeOcclusionStateNotification$NSApplicationDidChangeScreenParametersNotification$NSApplicationDidFinishLaunchingNotification$NSApplicationDidFinishRestoringWindowsNotification$NSApplicationDidHideNotification$NSApplicationDidResignActiveNotification$NSApplicationDidUnhideNotification$NSApplicationDidUpdateNotification$NSApplicationFileType$NSApplicationLaunchIsDefaultLaunchKey$NSApplicationLaunchRemoteNotificationKey$NSApplicationLaunchUserNotificationKey$NSApplicationWillBecomeActiveNotification$NSApplicationWillFinishLaunchingNotification$NSApplicationWillHideNotification$NSApplicationWillResignActiveNotification$NSApplicationWillTerminateNotification$NSApplicationWillUnhideNotification$NSApplicationWillUpdateNotification$NSArgumentBinding$NSAttachmentAttributeName$NSAttributedStringBinding$NSAuthorDocumentAttribute$NSBackgroundColorAttributeName$NSBackgroundColorDocumentAttribute$NSBackingPropertyOldColorSpaceKey$NSBackingPropertyOldScaleFactorKey$NSBadBitmapParametersException$NSBadComparisonException$NSBadRTFColorTableException$NSBadRTFDirectiveException$NSBadRTFFontTableException$NSBadRTFStyleSheetException$NSBaseURLDocumentOption$NSBaselineOffsetAttributeName$NSBottomMarginDocumentAttribute$NSBrowserColumnConfigurationDidChangeNotification$NSBrowserIllegalDelegateException$NSCalibratedBlackColorSpace$NSCalibratedRGBColorSpace$NSCalibratedWhiteColorSpace$NSCategoryDocumentAttribute$NSCharacterEncodingDocumentAttribute$NSCharacterEncodingDocumentOption$NSCharacterShapeAttributeName$NSCocoaVersionDocumentAttribute$NSCollectionElementKindInterItemGapIndicator$NSCollectionElementKindSectionFooter$NSCollectionElementKindSectionHeader$NSColorListDidChangeNotification$NSColorListIOException$NSColorListNotEditableException$NSColorPanelColorDidChangeNotification$NSColorPboardType$NSComboBoxSelectionDidChangeNotification$NSComboBoxSelectionIsChangingNotification$NSComboBoxWillDismissNotification$NSComboBoxWillPopUpNotification$NSCommentDocumentAttribute$NSCompanyDocumentAttribute$NSConditionallySetsEditableBindingOption$NSConditionallySetsEnabledBindingOption$NSConditionallySetsHiddenBindingOption$NSContentArrayBinding$NSContentArrayForMultipleSelectionBinding$NSContentBinding$NSContentDictionaryBinding$NSContentHeightBinding$NSContentObjectBinding$NSContentObjectsBinding$NSContentPlacementTagBindingOption$NSContentSetBinding$NSContentValuesBinding$NSContentWidthBinding$NSContextHelpModeDidActivateNotification$NSContextHelpModeDidDeactivateNotification$NSContinuouslyUpdatesValueBindingOption$NSControlTextDidBeginEditingNotification$NSControlTextDidChangeNotification$NSControlTextDidEndEditingNotification$NSControlTintDidChangeNotification$NSConvertedDocumentAttribute$NSCopyrightDocumentAttribute$NSCreatesSortDescriptorBindingOption$NSCreationTimeDocumentAttribute$NSCriticalValueBinding$NSCursorAttributeName$NSCustomColorSpace$NSDataBinding$NSDefaultAttributesDocumentAttribute$NSDefaultAttributesDocumentOption$NSDefaultTabIntervalDocumentAttribute$NSDefinitionPresentationTypeDictionaryApplication$NSDefinitionPresentationTypeKey$NSDefinitionPresentationTypeOverlay$NSDeletesObjectsOnRemoveBindingsOption$NSDeviceBitsPerSample$NSDeviceBlackColorSpace$NSDeviceCMYKColorSpace$NSDeviceColorSpaceName$NSDeviceIsPrinter$NSDeviceIsScreen$NSDeviceRGBColorSpace$NSDeviceResolution$NSDeviceSize$NSDeviceWhiteColorSpace$NSDirectoryFileType$NSDisplayNameBindingOption$NSDisplayPatternBindingOption$NSDisplayPatternTitleBinding$NSDisplayPatternValueBinding$NSDocFormatTextDocumentType$NSDocumentEditedBinding$NSDocumentTypeDocumentAttribute$NSDocumentTypeDocumentOption$NSDoubleClickArgumentBinding$NSDoubleClickTargetBinding$NSDragPboard$NSDraggingException$NSDraggingImageComponentIconKey$NSDraggingImageComponentLabelKey$NSDrawerDidCloseNotification$NSDrawerDidOpenNotification$NSDrawerWillCloseNotification$NSDrawerWillOpenNotification$NSEditableBinding$NSEditorDocumentAttribute$NSEnabledBinding$NSEventTrackingRunLoopMode$NSExcludedElementsDocumentAttribute$NSExcludedKeysBinding$NSExpansionAttributeName$NSFileContentsPboardType$NSFileTypeDocumentAttribute$NSFileTypeDocumentOption$NSFilenamesPboardType$NSFilesPromisePboardType$NSFilesystemFileType$NSFilterPredicateBinding$NSFindPanelCaseInsensitiveSearch$NSFindPanelSearchOptionsPboardType$NSFindPanelSubstringMatch$NSFindPboard$NSFontAttributeName$NSFontBinding$NSFontBoldBinding$NSFontCascadeListAttribute$NSFontCharacterSetAttribute$NSFontCollectionActionKey$NSFontCollectionAllFonts$NSFontCollectionDidChangeNotification$NSFontCollectionDisallowAutoActivationOption$NSFontCollectionFavorites$NSFontCollectionIncludeDisabledFontsOption$NSFontCollectionNameKey$NSFontCollectionOldNameKey$NSFontCollectionRecentlyUsed$NSFontCollectionRemoveDuplicatesOption$NSFontCollectionUser$NSFontCollectionVisibilityKey$NSFontCollectionWasHidden$NSFontCollectionWasRenamed$NSFontCollectionWasShown$NSFontColorAttribute$NSFontFaceAttribute$NSFontFamilyAttribute$NSFontFamilyNameBinding$NSFontFeatureSelectorIdentifierKey$NSFontFeatureSettingsAttribute$NSFontFeatureTypeIdentifierKey$NSFontFixedAdvanceAttribute$NSFontItalicBinding$NSFontMatrixAttribute$NSFontNameAttribute$NSFontNameBinding$NSFontPboard$NSFontPboardType$NSFontSetChangedNotification$NSFontSizeAttribute$NSFontSizeBinding$NSFontSlantTrait$NSFontSymbolicTrait$NSFontTraitsAttribute$NSFontUnavailableException$NSFontVariationAttribute$NSFontVariationAxisDefaultValueKey$NSFontVariationAxisIdentifierKey$NSFontVariationAxisMaximumValueKey$NSFontVariationAxisMinimumValueKey$NSFontVariationAxisNameKey$NSFontVisibleNameAttribute$NSFontWeightBlack@f$NSFontWeightBold@f$NSFontWeightHeavy@f$NSFontWeightLight@f$NSFontWeightMedium@f$NSFontWeightRegular@f$NSFontWeightSemibold@f$NSFontWeightThin@f$NSFontWeightTrait$NSFontWeightUltraLight@f$NSFontWidthTrait$NSForegroundColorAttributeName$NSFullScreenModeAllScreens$NSFullScreenModeApplicationPresentationOptions$NSFullScreenModeSetting$NSFullScreenModeWindowLevel$NSGeneralPboard$NSGlyphInfoAttributeName$NSGraphicsContextDestinationAttributeName$NSGraphicsContextPDFFormat$NSGraphicsContextPSFormat$NSGraphicsContextRepresentationFormatAttributeName$NSGridViewSizeForContent@d$NSHTMLPboardType$NSHTMLTextDocumentType$NSHandlesContentAsCompoundValueBindingOption$NSHeaderTitleBinding$NSHiddenBinding$NSHyphenationFactorDocumentAttribute$NSIllegalSelectorException$NSImageBinding$NSImageCacheException$NSImageColorSyncProfileData$NSImageCompressionFactor$NSImageCompressionMethod$NSImageCurrentFrame$NSImageCurrentFrameDuration$NSImageDitherTransparency$NSImageEXIFData$NSImageFallbackBackgroundColor$NSImageFrameCount$NSImageGamma$NSImageHintCTM$NSImageHintInterpolation$NSImageHintUserInterfaceLayoutDirection$NSImageInterlaced$NSImageLoopCount$NSImageNameActionTemplate$NSImageNameAddTemplate$NSImageNameAdvanced$NSImageNameApplicationIcon$NSImageNameBluetoothTemplate$NSImageNameBonjour$NSImageNameBookmarksTemplate$NSImageNameCaution$NSImageNameColorPanel$NSImageNameColumnViewTemplate$NSImageNameComputer$NSImageNameDotMac$NSImageNameEnterFullScreenTemplate$NSImageNameEveryone$NSImageNameExitFullScreenTemplate$NSImageNameFlowViewTemplate$NSImageNameFolder$NSImageNameFolderBurnable$NSImageNameFolderSmart$NSImageNameFollowLinkFreestandingTemplate$NSImageNameFontPanel$NSImageNameGoBackTemplate$NSImageNameGoForwardTemplate$NSImageNameGoLeftTemplate$NSImageNameGoRightTemplate$NSImageNameHomeTemplate$NSImageNameIChatTheaterTemplate$NSImageNameIconViewTemplate$NSImageNameInfo$NSImageNameInvalidDataFreestandingTemplate$NSImageNameLeftFacingTriangleTemplate$NSImageNameListViewTemplate$NSImageNameLockLockedTemplate$NSImageNameLockUnlockedTemplate$NSImageNameMenuMixedStateTemplate$NSImageNameMenuOnStateTemplate$NSImageNameMobileMe$NSImageNameMultipleDocuments$NSImageNameNetwork$NSImageNamePathTemplate$NSImageNamePreferencesGeneral$NSImageNameQuickLookTemplate$NSImageNameRefreshFreestandingTemplate$NSImageNameRefreshTemplate$NSImageNameRemoveTemplate$NSImageNameRevealFreestandingTemplate$NSImageNameRightFacingTriangleTemplate$NSImageNameShareTemplate$NSImageNameSlideshowTemplate$NSImageNameSmartBadgeTemplate$NSImageNameStatusAvailable$NSImageNameStatusNone$NSImageNameStatusPartiallyAvailable$NSImageNameStatusUnavailable$NSImageNameStopProgressFreestandingTemplate$NSImageNameStopProgressTemplate$NSImageNameTouchBarAddDetailTemplate$NSImageNameTouchBarAddTemplate$NSImageNameTouchBarAlarmTemplate$NSImageNameTouchBarAudioInputMuteTemplate$NSImageNameTouchBarAudioInputTemplate$NSImageNameTouchBarAudioOutputMuteTemplate$NSImageNameTouchBarAudioOutputVolumeHighTemplate$NSImageNameTouchBarAudioOutputVolumeLowTemplate$NSImageNameTouchBarAudioOutputVolumeMediumTemplate$NSImageNameTouchBarAudioOutputVolumeOffTemplate$NSImageNameTouchBarBookmarksTemplate$NSImageNameTouchBarColorPickerFill$NSImageNameTouchBarColorPickerFont$NSImageNameTouchBarColorPickerStroke$NSImageNameTouchBarCommunicationAudioTemplate$NSImageNameTouchBarCommunicationVideoTemplate$NSImageNameTouchBarComposeTemplate$NSImageNameTouchBarDeleteTemplate$NSImageNameTouchBarDownloadTemplate$NSImageNameTouchBarEnterFullScreenTemplate$NSImageNameTouchBarExitFullScreenTemplate$NSImageNameTouchBarFastForwardTemplate$NSImageNameTouchBarFolderCopyToTemplate$NSImageNameTouchBarFolderMoveToTemplate$NSImageNameTouchBarFolderTemplate$NSImageNameTouchBarGetInfoTemplate$NSImageNameTouchBarGoBackTemplate$NSImageNameTouchBarGoDownTemplate$NSImageNameTouchBarGoForwardTemplate$NSImageNameTouchBarGoUpTemplate$NSImageNameTouchBarHistoryTemplate$NSImageNameTouchBarIconViewTemplate$NSImageNameTouchBarListViewTemplate$NSImageNameTouchBarMailTemplate$NSImageNameTouchBarNewFolderTemplate$NSImageNameTouchBarNewMessageTemplate$NSImageNameTouchBarOpenInBrowserTemplate$NSImageNameTouchBarPauseTemplate$NSImageNameTouchBarPlayPauseTemplate$NSImageNameTouchBarPlayTemplate$NSImageNameTouchBarPlayheadTemplate$NSImageNameTouchBarQuickLookTemplate$NSImageNameTouchBarRecordStartTemplate$NSImageNameTouchBarRecordStopTemplate$NSImageNameTouchBarRefreshTemplate$NSImageNameTouchBarRemoveTemplate$NSImageNameTouchBarRewindTemplate$NSImageNameTouchBarRotateLeftTemplate$NSImageNameTouchBarRotateRightTemplate$NSImageNameTouchBarSearchTemplate$NSImageNameTouchBarShareTemplate$NSImageNameTouchBarSidebarTemplate$NSImageNameTouchBarSkipAhead15SecondsTemplate$NSImageNameTouchBarSkipAhead30SecondsTemplate$NSImageNameTouchBarSkipAheadTemplate$NSImageNameTouchBarSkipBack15SecondsTemplate$NSImageNameTouchBarSkipBack30SecondsTemplate$NSImageNameTouchBarSkipBackTemplate$NSImageNameTouchBarSkipToEndTemplate$NSImageNameTouchBarSkipToStartTemplate$NSImageNameTouchBarSlideshowTemplate$NSImageNameTouchBarTagIconTemplate$NSImageNameTouchBarTextBoldTemplate$NSImageNameTouchBarTextBoxTemplate$NSImageNameTouchBarTextCenterAlignTemplate$NSImageNameTouchBarTextItalicTemplate$NSImageNameTouchBarTextJustifiedAlignTemplate$NSImageNameTouchBarTextLeftAlignTemplate$NSImageNameTouchBarTextListTemplate$NSImageNameTouchBarTextRightAlignTemplate$NSImageNameTouchBarTextStrikethroughTemplate$NSImageNameTouchBarTextUnderlineTemplate$NSImageNameTouchBarUserAddTemplate$NSImageNameTouchBarUserGroupTemplate$NSImageNameTouchBarUserTemplate$NSImageNameTouchBarVolumeDownTemplate$NSImageNameTouchBarVolumeUpTemplate$NSImageNameTrashEmpty$NSImageNameTrashFull$NSImageNameUser$NSImageNameUserAccounts$NSImageNameUserGroup$NSImageNameUserGuest$NSImageProgressive$NSImageRGBColorTable$NSImageRepRegistryDidChangeNotification$NSIncludedKeysBinding$NSInitialKeyBinding$NSInitialValueBinding$NSInkTextPboardType$NSInsertsNullPlaceholderBindingOption$NSInterfaceStyleDefault$NSInvokesSeparatelyWithArrayObjectsBindingOption$NSIsIndeterminateBinding$NSKernAttributeName$NSKeywordsDocumentAttribute$NSLabelBinding$NSLeftMarginDocumentAttribute$NSLigatureAttributeName$NSLinkAttributeName$NSLocalizedKeyDictionaryBinding$NSMacSimpleTextDocumentType$NSManagedObjectContextBinding$NSManagerDocumentAttribute$NSMarkedClauseSegmentAttributeName$NSMaxValueBinding$NSMaxWidthBinding$NSMaximumRecentsBinding$NSMenuDidAddItemNotification$NSMenuDidBeginTrackingNotification$NSMenuDidChangeItemNotification$NSMenuDidEndTrackingNotification$NSMenuDidRemoveItemNotification$NSMenuDidSendActionNotification$NSMenuWillSendActionNotification$NSMinValueBinding$NSMinWidthBinding$NSMixedStateImageBinding$NSModalPanelRunLoopMode$NSModificationTimeDocumentAttribute$NSMultipleTextSelectionPboardType$NSMultipleValuesMarker$NSMultipleValuesPlaceholderBindingOption$NSNamedColorSpace$NSNibLoadingException$NSNibOwner$NSNibTopLevelObjects$NSNoSelectionMarker$NSNoSelectionPlaceholderBindingOption$NSNotApplicableMarker$NSNotApplicablePlaceholderBindingOption$NSNullPlaceholderBindingOption$NSObliquenessAttributeName$NSObservedKeyPathKey$NSObservedObjectKey$NSOffStateImageBinding$NSOfficeOpenXMLTextDocumentType$NSOnStateImageBinding$NSOpenDocumentTextDocumentType$NSOptionsKey$NSOutlineViewColumnDidMoveNotification$NSOutlineViewColumnDidResizeNotification$NSOutlineViewDisclosureButtonKey$NSOutlineViewItemDidCollapseNotification$NSOutlineViewItemDidExpandNotification$NSOutlineViewItemWillCollapseNotification$NSOutlineViewItemWillExpandNotification$NSOutlineViewSelectionDidChangeNotification$NSOutlineViewSelectionIsChangingNotification$NSOutlineViewShowHideButtonKey$NSPDFPboardType$NSPICTPboardType$NSPPDIncludeNotFoundException$NSPPDIncludeStackOverflowException$NSPPDIncludeStackUnderflowException$NSPPDParseException$NSPaperSizeDocumentAttribute$NSParagraphStyleAttributeName$NSPasteboardCommunicationException$NSPasteboardNameDrag$NSPasteboardNameFind$NSPasteboardNameFont$NSPasteboardNameGeneral$NSPasteboardNameRuler$NSPasteboardTypeColor$NSPasteboardTypeFileURL$NSPasteboardTypeFindPanelSearchOptions$NSPasteboardTypeFont$NSPasteboardTypeHTML$NSPasteboardTypeMultipleTextSelection$NSPasteboardTypePDF$NSPasteboardTypePNG$NSPasteboardTypeRTF$NSPasteboardTypeRTFD$NSPasteboardTypeRuler$NSPasteboardTypeSound$NSPasteboardTypeString$NSPasteboardTypeTIFF$NSPasteboardTypeTabularText$NSPasteboardTypeTextFinderOptions$NSPasteboardTypeURL$NSPasteboardURLReadingContentsConformToTypesKey$NSPasteboardURLReadingFileURLsOnlyKey$NSPatternColorSpace$NSPlainFileType$NSPlainTextDocumentType$NSPopUpButtonCellWillPopUpNotification$NSPopUpButtonWillPopUpNotification$NSPopoverCloseReasonDetachToWindow$NSPopoverCloseReasonKey$NSPopoverCloseReasonStandard$NSPopoverDidCloseNotification$NSPopoverDidShowNotification$NSPopoverWillCloseNotification$NSPopoverWillShowNotification$NSPositioningRectBinding$NSPostScriptPboardType$NSPredicateBinding$NSPredicateFormatBindingOption$NSPreferredScrollerStyleDidChangeNotification$NSPrefixSpacesDocumentAttribute$NSPrintAllPages$NSPrintAllPresetsJobStyleHint$NSPrintBottomMargin$NSPrintCancelJob$NSPrintCopies$NSPrintDetailedErrorReporting$NSPrintFaxCoverSheetName$NSPrintFaxHighResolution$NSPrintFaxJob$NSPrintFaxModem$NSPrintFaxNumber$NSPrintFaxReceiverNames$NSPrintFaxReceiverNumbers$NSPrintFaxReturnReceipt$NSPrintFaxSendTime$NSPrintFaxTrimPageEnds$NSPrintFaxUseCoverSheet$NSPrintFirstPage$NSPrintFormName$NSPrintHeaderAndFooter$NSPrintHorizontalPagination$NSPrintHorizontallyCentered$NSPrintJobDisposition$NSPrintJobFeatures$NSPrintJobSavingFileNameExtensionHidden$NSPrintJobSavingURL$NSPrintLastPage$NSPrintLeftMargin$NSPrintManualFeed$NSPrintMustCollate$NSPrintNoPresetsJobStyleHint$NSPrintOperationExistsException$NSPrintOrientation$NSPrintPackageException$NSPrintPagesAcross$NSPrintPagesDown$NSPrintPagesPerSheet$NSPrintPanelAccessorySummaryItemDescriptionKey$NSPrintPanelAccessorySummaryItemNameKey$NSPrintPaperFeed$NSPrintPaperName$NSPrintPaperSize$NSPrintPhotoJobStyleHint$NSPrintPreviewJob$NSPrintPrinter$NSPrintPrinterName$NSPrintReversePageOrder$NSPrintRightMargin$NSPrintSaveJob$NSPrintSavePath$NSPrintScalingFactor$NSPrintSelectionOnly$NSPrintSpoolJob$NSPrintTime$NSPrintTopMargin$NSPrintVerticalPagination$NSPrintVerticallyCentered$NSPrintingCommunicationException$NSRTFDPboardType$NSRTFDTextDocumentType$NSRTFPboardType$NSRTFPropertyStackOverflowException$NSRTFTextDocumentType$NSRaisesForNotApplicableKeysBindingOption$NSReadOnlyDocumentAttribute$NSRecentSearchesBinding$NSRepresentedFilenameBinding$NSRightMarginDocumentAttribute$NSRowHeightBinding$NSRuleEditorPredicateComparisonModifier$NSRuleEditorPredicateCompoundType$NSRuleEditorPredicateCustomSelector$NSRuleEditorPredicateLeftExpression$NSRuleEditorPredicateOperatorType$NSRuleEditorPredicateOptions$NSRuleEditorPredicateRightExpression$NSRuleEditorRowsDidChangeNotification$NSRulerPboard$NSRulerPboardType$NSRulerViewUnitCentimeters$NSRulerViewUnitInches$NSRulerViewUnitPicas$NSRulerViewUnitPoints$NSScreenColorSpaceDidChangeNotification$NSScrollViewDidEndLiveMagnifyNotification$NSScrollViewDidEndLiveScrollNotification$NSScrollViewDidLiveScrollNotification$NSScrollViewWillStartLiveMagnifyNotification$NSScrollViewWillStartLiveScrollNotification$NSSelectedIdentifierBinding$NSSelectedIndexBinding$NSSelectedLabelBinding$NSSelectedObjectBinding$NSSelectedObjectsBinding$NSSelectedTagBinding$NSSelectedValueBinding$NSSelectedValuesBinding$NSSelectionIndexPathsBinding$NSSelectionIndexesBinding$NSSelectorNameBindingOption$NSSelectsAllWhenSettingContentBindingOption$NSShadowAttributeName$NSSharingServiceNameAddToAperture$NSSharingServiceNameAddToIPhoto$NSSharingServiceNameAddToSafariReadingList$NSSharingServiceNameCloudSharing$NSSharingServiceNameComposeEmail$NSSharingServiceNameComposeMessage$NSSharingServiceNamePostImageOnFlickr$NSSharingServiceNamePostOnFacebook$NSSharingServiceNamePostOnLinkedIn$NSSharingServiceNamePostOnSinaWeibo$NSSharingServiceNamePostOnTencentWeibo$NSSharingServiceNamePostOnTwitter$NSSharingServiceNamePostVideoOnTudou$NSSharingServiceNamePostVideoOnVimeo$NSSharingServiceNamePostVideoOnYouku$NSSharingServiceNameSendViaAirDrop$NSSharingServiceNameUseAsDesktopPicture$NSSharingServiceNameUseAsFacebookProfileImage$NSSharingServiceNameUseAsLinkedInProfileImage$NSSharingServiceNameUseAsTwitterProfileImage$NSShellCommandFileType$NSSortDescriptorsBinding$NSSoundPboardType$NSSpeechCharacterModeProperty$NSSpeechCommandDelimiterProperty$NSSpeechCommandPrefix$NSSpeechCommandSuffix$NSSpeechCurrentVoiceProperty$NSSpeechDictionaryAbbreviations$NSSpeechDictionaryEntryPhonemes$NSSpeechDictionaryEntrySpelling$NSSpeechDictionaryLocaleIdentifier$NSSpeechDictionaryModificationDate$NSSpeechDictionaryPronunciations$NSSpeechErrorCount$NSSpeechErrorNewestCharacterOffset$NSSpeechErrorNewestCode$NSSpeechErrorOldestCharacterOffset$NSSpeechErrorOldestCode$NSSpeechErrorsProperty$NSSpeechInputModeProperty$NSSpeechModeLiteral$NSSpeechModeNormal$NSSpeechModePhoneme$NSSpeechModeText$NSSpeechNumberModeProperty$NSSpeechOutputToFileURLProperty$NSSpeechPhonemeInfoExample$NSSpeechPhonemeInfoHiliteEnd$NSSpeechPhonemeInfoHiliteStart$NSSpeechPhonemeInfoOpcode$NSSpeechPhonemeInfoSymbol$NSSpeechPhonemeSymbolsProperty$NSSpeechPitchBaseProperty$NSSpeechPitchModProperty$NSSpeechRateProperty$NSSpeechRecentSyncProperty$NSSpeechResetProperty$NSSpeechStatusNumberOfCharactersLeft$NSSpeechStatusOutputBusy$NSSpeechStatusOutputPaused$NSSpeechStatusPhonemeCode$NSSpeechStatusProperty$NSSpeechSynthesizerInfoIdentifier$NSSpeechSynthesizerInfoProperty$NSSpeechSynthesizerInfoVersion$NSSpeechVolumeProperty$NSSpellCheckerDidChangeAutomaticCapitalizationNotification$NSSpellCheckerDidChangeAutomaticDashSubstitutionNotification$NSSpellCheckerDidChangeAutomaticPeriodSubstitutionNotification$NSSpellCheckerDidChangeAutomaticQuoteSubstitutionNotification$NSSpellCheckerDidChangeAutomaticSpellingCorrectionNotification$NSSpellCheckerDidChangeAutomaticTextCompletionNotification$NSSpellCheckerDidChangeAutomaticTextReplacementNotification$NSSpellingStateAttributeName$NSSplitViewControllerAutomaticDimension@f$NSSplitViewDidResizeSubviewsNotification$NSSplitViewItemUnspecifiedDimension@f$NSSplitViewWillResizeSubviewsNotification$NSStrikethroughColorAttributeName$NSStrikethroughStyleAttributeName$NSStringPboardType$NSStrokeColorAttributeName$NSStrokeWidthAttributeName$NSSubjectDocumentAttribute$NSSuperscriptAttributeName$NSSystemColorsDidChangeNotification$NSTIFFException$NSTIFFPboardType$NSTabColumnTerminatorsAttributeName$NSTableViewColumnDidMoveNotification$NSTableViewColumnDidResizeNotification$NSTableViewRowViewKey$NSTableViewSelectionDidChangeNotification$NSTableViewSelectionIsChangingNotification$NSTabularTextPboardType$NSTargetBinding$NSTextAlternativesAttributeName$NSTextAlternativesSelectedAlternativeStringNotification$NSTextCheckingDocumentAuthorKey$NSTextCheckingDocumentTitleKey$NSTextCheckingDocumentURLKey$NSTextCheckingOrthographyKey$NSTextCheckingQuotesKey$NSTextCheckingReferenceDateKey$NSTextCheckingReferenceTimeZoneKey$NSTextCheckingRegularExpressionsKey$NSTextCheckingReplacementsKey$NSTextCheckingSelectedRangeKey$NSTextColorBinding$NSTextDidBeginEditingNotification$NSTextDidChangeNotification$NSTextDidEndEditingNotification$NSTextEffectAttributeName$NSTextEffectLetterpressStyle$NSTextEncodingNameDocumentAttribute$NSTextEncodingNameDocumentOption$NSTextFinderCaseInsensitiveKey$NSTextFinderMatchingTypeKey$NSTextInputContextKeyboardSelectionDidChangeNotification$NSTextLayoutSectionOrientation$NSTextLayoutSectionRange$NSTextLayoutSectionsAttribute$NSTextLineTooLongException$NSTextListMarkerBox$NSTextListMarkerCheck$NSTextListMarkerCircle$NSTextListMarkerDecimal$NSTextListMarkerDiamond$NSTextListMarkerDisc$NSTextListMarkerHyphen$NSTextListMarkerLowercaseAlpha$NSTextListMarkerLowercaseHexadecimal$NSTextListMarkerLowercaseLatin$NSTextListMarkerLowercaseRoman$NSTextListMarkerOctal$NSTextListMarkerSquare$NSTextListMarkerUppercaseAlpha$NSTextListMarkerUppercaseHexadecimal$NSTextListMarkerUppercaseLatin$NSTextListMarkerUppercaseRoman$NSTextMovementUserInfoKey$NSTextNoSelectionException$NSTextReadException$NSTextSizeMultiplierDocumentOption$NSTextStorageDidProcessEditingNotification$NSTextStorageWillProcessEditingNotification$NSTextViewDidChangeSelectionNotification$NSTextViewDidChangeTypingAttributesNotification$NSTextViewWillChangeNotifyingTextViewNotification$NSTextWriteException$NSTimeoutDocumentOption$NSTitleBinding$NSTitleDocumentAttribute$NSToolTipAttributeName$NSToolTipBinding$NSToolbarCloudSharingItemIdentifier$NSToolbarCustomizeToolbarItemIdentifier$NSToolbarDidRemoveItemNotification$NSToolbarFlexibleSpaceItemIdentifier$NSToolbarPrintItemIdentifier$NSToolbarSeparatorItemIdentifier$NSToolbarShowColorsItemIdentifier$NSToolbarShowFontsItemIdentifier$NSToolbarSpaceItemIdentifier$NSToolbarToggleSidebarItemIdentifier$NSToolbarWillAddItemNotification$NSTopMarginDocumentAttribute$NSTouchBarItemIdentifierCandidateList$NSTouchBarItemIdentifierCharacterPicker$NSTouchBarItemIdentifierFixedSpaceLarge$NSTouchBarItemIdentifierFixedSpaceSmall$NSTouchBarItemIdentifierFlexibleSpace$NSTouchBarItemIdentifierOtherItemsProxy$NSTouchBarItemIdentifierTextAlignment$NSTouchBarItemIdentifierTextColorPicker$NSTouchBarItemIdentifierTextFormat$NSTouchBarItemIdentifierTextList$NSTouchBarItemIdentifierTextStyle$NSTransparentBinding$NSTypeIdentifierAddressText$NSTypeIdentifierDateText$NSTypeIdentifierPhoneNumberText$NSTypeIdentifierTransitInformationText$NSTypedStreamVersionException$NSURLPboardType$NSUnderlineColorAttributeName$NSUnderlineStyleAttributeName$NSUserActivityDocumentURLKey$NSUsesScreenFontsDocumentAttribute$NSVCardPboardType$NSValidatesImmediatelyBindingOption$NSValueBinding$NSValuePathBinding$NSValueTransformerBindingOption$NSValueTransformerNameBindingOption$NSValueURLBinding$NSVerticalGlyphFormAttributeName$NSViewAnimationEffectKey$NSViewAnimationEndFrameKey$NSViewAnimationFadeInEffect$NSViewAnimationFadeOutEffect$NSViewAnimationStartFrameKey$NSViewAnimationTargetKey$NSViewBoundsDidChangeNotification$NSViewDidUpdateTrackingAreasNotification$NSViewFocusDidChangeNotification$NSViewFrameDidChangeNotification$NSViewGlobalFrameDidChangeNotification$NSViewModeDocumentAttribute$NSViewNoIntrinsicMetric@f$NSViewSizeDocumentAttribute$NSViewZoomDocumentAttribute$NSVisibleBinding$NSVoiceAge$NSVoiceDemoText$NSVoiceGender$NSVoiceGenderFemale$NSVoiceGenderMale$NSVoiceGenderNeuter$NSVoiceIdentifier$NSVoiceIndividuallySpokenCharacters$NSVoiceLanguage$NSVoiceLocaleIdentifier$NSVoiceName$NSVoiceSupportedCharacters$NSWarningValueBinding$NSWebArchiveTextDocumentType$NSWebPreferencesDocumentOption$NSWebResourceLoadDelegateDocumentOption$NSWidthBinding$NSWindowDidBecomeKeyNotification$NSWindowDidBecomeMainNotification$NSWindowDidChangeBackingPropertiesNotification$NSWindowDidChangeOcclusionStateNotification$NSWindowDidChangeScreenNotification$NSWindowDidChangeScreenProfileNotification$NSWindowDidDeminiaturizeNotification$NSWindowDidEndLiveResizeNotification$NSWindowDidEndSheetNotification$NSWindowDidEnterFullScreenNotification$NSWindowDidEnterVersionBrowserNotification$NSWindowDidExitFullScreenNotification$NSWindowDidExitVersionBrowserNotification$NSWindowDidExposeNotification$NSWindowDidMiniaturizeNotification$NSWindowDidMoveNotification$NSWindowDidResignKeyNotification$NSWindowDidResignMainNotification$NSWindowDidResizeNotification$NSWindowDidUpdateNotification$NSWindowServerCommunicationException$NSWindowWillBeginSheetNotification$NSWindowWillCloseNotification$NSWindowWillEnterFullScreenNotification$NSWindowWillEnterVersionBrowserNotification$NSWindowWillExitFullScreenNotification$NSWindowWillExitVersionBrowserNotification$NSWindowWillMiniaturizeNotification$NSWindowWillMoveNotification$NSWindowWillStartLiveResizeNotification$NSWordMLTextDocumentType$NSWordTablesReadException$NSWordTablesWriteException$NSWorkspaceAccessibilityDisplayOptionsDidChangeNotification$NSWorkspaceActiveSpaceDidChangeNotification$NSWorkspaceApplicationKey$NSWorkspaceCompressOperation$NSWorkspaceCopyOperation$NSWorkspaceDecompressOperation$NSWorkspaceDecryptOperation$NSWorkspaceDesktopImageAllowClippingKey$NSWorkspaceDesktopImageFillColorKey$NSWorkspaceDesktopImageScalingKey$NSWorkspaceDestroyOperation$NSWorkspaceDidActivateApplicationNotification$NSWorkspaceDidChangeFileLabelsNotification$NSWorkspaceDidDeactivateApplicationNotification$NSWorkspaceDidHideApplicationNotification$NSWorkspaceDidLaunchApplicationNotification$NSWorkspaceDidMountNotification$NSWorkspaceDidPerformFileOperationNotification$NSWorkspaceDidRenameVolumeNotification$NSWorkspaceDidTerminateApplicationNotification$NSWorkspaceDidUnhideApplicationNotification$NSWorkspaceDidUnmountNotification$NSWorkspaceDidWakeNotification$NSWorkspaceDuplicateOperation$NSWorkspaceEncryptOperation$NSWorkspaceLaunchConfigurationAppleEvent$NSWorkspaceLaunchConfigurationArchitecture$NSWorkspaceLaunchConfigurationArguments$NSWorkspaceLaunchConfigurationEnvironment$NSWorkspaceLinkOperation$NSWorkspaceMoveOperation$NSWorkspaceRecycleOperation$NSWorkspaceScreensDidSleepNotification$NSWorkspaceScreensDidWakeNotification$NSWorkspaceSessionDidBecomeActiveNotification$NSWorkspaceSessionDidResignActiveNotification$NSWorkspaceVolumeLocalizedNameKey$NSWorkspaceVolumeOldLocalizedNameKey$NSWorkspaceVolumeOldURLKey$NSWorkspaceVolumeURLKey$NSWorkspaceWillLaunchApplicationNotification$NSWorkspaceWillPowerOffNotification$NSWorkspaceWillSleepNotification$NSWorkspaceWillUnmountNotification$NSWritingDirectionAttributeName$''' constants = constants + '$NSBlack@%s$'%(sel32or64('f', 'd'),) constants = constants + '$NSViewNoInstrinsicMetric@%s$'%(sel32or64('f', 'd'),) constants = constants + '$NSDarkGray@%s$'%(sel32or64('f', 'd'),) constants = constants + '$NSWhite@%s$'%(sel32or64('f', 'd'),) constants = constants + '$NSFontIdentityMatrix@%s$'%(sel32or64('^f', '^d'),) constants = constants + '$NSLightGray@%s$'%(sel32or64('f', 'd'),) constants = constants + '$NSUnderlineStrikethroughMask@%s$'%(sel32or64('I', 'Q'),) constants = constants + '$NSUnderlineByWordMask@%s$'%(sel32or64('I', 'Q'),) enums = '''$NS16BitBigEndianBitmapFormat@1024$NS16BitLittleEndianBitmapFormat@256$NS32BitBigEndianBitmapFormat@2048$NS32BitLittleEndianBitmapFormat@512$NSAWTEventType@16$NSAboveBottom@4$NSAboveTop@1$NSAcceleratorButton@8$NSAccessibilityAnnotationPositionEnd@2$NSAccessibilityAnnotationPositionFullRange@0$NSAccessibilityAnnotationPositionStart@1$NSAccessibilityCustomRotorSearchDirectionNext@1$NSAccessibilityCustomRotorSearchDirectionPrevious@0$NSAccessibilityCustomRotorTypeAnnotation@2$NSAccessibilityCustomRotorTypeAny@1$NSAccessibilityCustomRotorTypeBoldText@3$NSAccessibilityCustomRotorTypeCustom@0$NSAccessibilityCustomRotorTypeHeading@4$NSAccessibilityCustomRotorTypeHeadingLevel1@5$NSAccessibilityCustomRotorTypeHeadingLevel2@6$NSAccessibilityCustomRotorTypeHeadingLevel3@7$NSAccessibilityCustomRotorTypeHeadingLevel4@8$NSAccessibilityCustomRotorTypeHeadingLevel5@9$NSAccessibilityCustomRotorTypeHeadingLevel6@10$NSAccessibilityCustomRotorTypeImage@11$NSAccessibilityCustomRotorTypeItalicText@12$NSAccessibilityCustomRotorTypeLandmark@13$NSAccessibilityCustomRotorTypeLink@14$NSAccessibilityCustomRotorTypeList@15$NSAccessibilityCustomRotorTypeMisspelledWord@16$NSAccessibilityCustomRotorTypeTable@17$NSAccessibilityCustomRotorTypeTextField@18$NSAccessibilityCustomRotorTypeUnderlinedText@19$NSAccessibilityCustomRotorTypeVisitedLink@20$NSAccessibilityOrientationHorizontal@2$NSAccessibilityOrientationUnknown@0$NSAccessibilityOrientationVertical@1$NSAccessibilityPriorityHigh@90$NSAccessibilityPriorityLow@10$NSAccessibilityPriorityMedium@50$NSAccessibilityRulerMarkerTypeIndentFirstLine@7$NSAccessibilityRulerMarkerTypeIndentHead@5$NSAccessibilityRulerMarkerTypeIndentTail@6$NSAccessibilityRulerMarkerTypeTabStopCenter@3$NSAccessibilityRulerMarkerTypeTabStopDecimal@4$NSAccessibilityRulerMarkerTypeTabStopLeft@1$NSAccessibilityRulerMarkerTypeTabStopRight@2$NSAccessibilityRulerMarkerTypeUnknown@0$NSAccessibilitySortDirectionAscending@1$NSAccessibilitySortDirectionDescending@2$NSAccessibilitySortDirectionUnknown@0$NSAccessibilityUnitsCentimeters@2$NSAccessibilityUnitsInches@1$NSAccessibilityUnitsPicas@4$NSAccessibilityUnitsPoints@3$NSAccessibilityUnitsUnknown@0$NSAddTraitFontAction@2$NSAdobeCNS1CharacterCollection@1$NSAdobeGB1CharacterCollection@2$NSAdobeJapan1CharacterCollection@3$NSAdobeJapan2CharacterCollection@4$NSAdobeKorea1CharacterCollection@5$NSAlertAlternateReturn@0$NSAlertDefaultReturn@1$NSAlertErrorReturn@-2$NSAlertFirstButtonReturn@1000$NSAlertOtherReturn@-1$NSAlertSecondButtonReturn@1001$NSAlertStyleCritical@2$NSAlertStyleInformational@1$NSAlertStyleWarning@0$NSAlertThirdButtonReturn@1002$NSAllScrollerParts@2$NSAlphaFirstBitmapFormat@1$NSAlphaNonpremultipliedBitmapFormat@2$NSAlphaShiftKeyMask@65536$NSAlternateKeyMask@524288$NSAnimationBlocking@0$NSAnimationEaseIn@1$NSAnimationEaseInOut@0$NSAnimationEaseOut@2$NSAnimationEffectDisappearingItemDefault@0$NSAnimationEffectPoof@10$NSAnimationLinear@3$NSAnimationNonblocking@1$NSAnimationNonblockingThreaded@2$NSAnyType@0$NSAppKitDefined@13$NSAppKitDefinedMask@8192$NSAppKitVersionNumber10_0@577$NSAppKitVersionNumber10_1@620$NSAppKitVersionNumber10_10@1343$NSAppKitVersionNumber10_10_2@1344$NSAppKitVersionNumber10_10_3@1347$NSAppKitVersionNumber10_10_4@1348$NSAppKitVersionNumber10_10_5@1348$NSAppKitVersionNumber10_10_Max@1349$NSAppKitVersionNumber10_11@1404.0$NSAppKitVersionNumber10_11_1@1404.13$NSAppKitVersionNumber10_11_2@1404.34$NSAppKitVersionNumber10_11_3@1404.34$NSAppKitVersionNumber10_12@1504$NSAppKitVersionNumber10_12_1@1504.6$NSAppKitVersionNumber10_12_2@1504.76$NSAppKitVersionNumber10_2@663$NSAppKitVersionNumber10_3@743$NSAppKitVersionNumber10_4@824$NSAppKitVersionNumber10_5@949$NSAppKitVersionNumber10_6@1038$NSAppKitVersionNumber10_7@1138$NSAppKitVersionNumber10_8@1187$NSAppKitVersionNumber10_9@1265$NSApplicationActivateAllWindows@1$NSApplicationActivateIgnoringOtherApps@2$NSApplicationActivatedEventType@1$NSApplicationActivationPolicyAccessory@1$NSApplicationActivationPolicyProhibited@2$NSApplicationActivationPolicyRegular@0$NSApplicationDeactivatedEventType@2$NSApplicationDefined@15$NSApplicationDefinedMask@32768$NSApplicationDelegateReplyCancel@1$NSApplicationDelegateReplyFailure@2$NSApplicationDelegateReplySuccess@0$NSApplicationOcclusionStateVisible@2$NSApplicationPresentationAutoHideDock@1$NSApplicationPresentationAutoHideMenuBar@4$NSApplicationPresentationAutoHideToolbar@2048$NSApplicationPresentationDefault@0$NSApplicationPresentationDisableAppleMenu@16$NSApplicationPresentationDisableCursorLocationAssistance@4096$NSApplicationPresentationDisableForceQuit@64$NSApplicationPresentationDisableHideApplication@256$NSApplicationPresentationDisableMenuBarTransparency@512$NSApplicationPresentationDisableProcessSwitching@32$NSApplicationPresentationDisableSessionTermination@128$NSApplicationPresentationFullScreen@1024$NSApplicationPresentationHideDock@2$NSApplicationPresentationHideMenuBar@8$NSAscendingPageOrder@1$NSAsciiWithDoubleByteEUCGlyphPacking@2$NSAtBottom@5$NSAtTop@2$NSAutoPagination@0$NSAutosaveAsOperation@5$NSAutosaveElsewhereOperation@3$NSAutosaveInPlaceOperation@4$NSAutosaveOperation@3$NSBMPFileType@1$NSBackTabCharacter@25$NSBackgroundStyleDark@1$NSBackgroundStyleLight@0$NSBackgroundStyleLowered@3$NSBackgroundStyleRaised@2$NSBackgroundTab@1$NSBackingStoreBuffered@2$NSBackingStoreNonretained@1$NSBackingStoreRetained@0$NSBackspaceCharacter@8$NSBacktabTextMovement@18$NSBeginFunctionKey@63274$NSBelowBottom@6$NSBelowTop@3$NSBevelLineJoinStyle@2$NSBezelBorder@2$NSBezelStyleCircular@7$NSBezelStyleDisclosure@5$NSBezelStyleHelpButton@9$NSBezelStyleInline@15$NSBezelStyleRecessed@13$NSBezelStyleRegularSquare@2$NSBezelStyleRoundRect@12$NSBezelStyleRounded@1$NSBezelStyleRoundedDisclosure@14$NSBezelStyleShadowlessSquare@6$NSBezelStyleSmallSquare@10$NSBezelStyleTexturedRounded@11$NSBezelStyleTexturedSquare@8$NSBitmapFormatAlphaFirst@1$NSBitmapFormatAlphaNonpremultiplied@2$NSBitmapFormatFloatingPointSamples@4$NSBitmapFormatSixteenBitBigEndian@1024$NSBitmapFormatSixteenBitLittleEndian@256$NSBitmapFormatThirtyTwoBitBigEndian@2048$NSBitmapFormatThirtyTwoBitLittleEndian@512$NSBitmapImageFileTypeBMP@1$NSBitmapImageFileTypeGIF@2$NSBitmapImageFileTypeJPEG@3$NSBitmapImageFileTypeJPEG2000@5$NSBitmapImageFileTypePNG@4$NSBitmapImageFileTypeTIFF@0$NSBlueControlTint@1$NSBoldFontMask@2$NSBorderlessWindowMask@0$NSBottomTabsBezelBorder@2$NSBoxCustom@4$NSBoxOldStyle@3$NSBoxPrimary@0$NSBoxSecondary@1$NSBoxSeparator@2$NSBreakFunctionKey@63282$NSBrowserAutoColumnResizing@1$NSBrowserDropAbove@1$NSBrowserDropOn@0$NSBrowserNoColumnResizing@0$NSBrowserUserColumnResizing@2$NSButtLineCapStyle@0$NSButtonTypeAccelerator@8$NSButtonTypeMomentaryChange@5$NSButtonTypeMomentaryLight@0$NSButtonTypeMomentaryPushIn@7$NSButtonTypeMultiLevelAccelerator@9$NSButtonTypeOnOff@6$NSButtonTypePushOnPushOff@1$NSButtonTypeRadio@4$NSButtonTypeSwitch@3$NSButtonTypeToggle@2$NSCMYKColorSpaceModel@2$NSCMYKModeColorPanel@2$NSCancelButton@0$NSCancelTextMovement@23$NSCarriageReturnCharacter@13$NSCellAllowsMixedState@16$NSCellChangesContents@14$NSCellDisabled@0$NSCellEditable@3$NSCellHasImageHorizontal@12$NSCellHasImageOnLeftOrBottom@13$NSCellHasOverlappingImage@11$NSCellHighlighted@5$NSCellHitContentArea@1$NSCellHitEditableTextArea@2$NSCellHitNone@0$NSCellHitTrackableArea@4$NSCellIsBordered@10$NSCellIsInsetButton@15$NSCellLightsByBackground@9$NSCellLightsByContents@6$NSCellLightsByGray@7$NSCellState@1$NSCenterTabStopType@2$NSCenterTextAlignment@2$NSChangeAutosaved@4$NSChangeBackgroundCell@8$NSChangeBackgroundCellMask@8$NSChangeCleared@2$NSChangeDiscardable@256$NSChangeDone@0$NSChangeGrayCell@4$NSChangeGrayCellMask@4$NSChangeReadOtherContents@3$NSChangeRedone@5$NSChangeUndone@1$NSCircularBezelStyle@7$NSCircularSlider@1$NSClearControlTint@7$NSClearDisplayFunctionKey@63290$NSClearLineFunctionKey@63289$NSClipPagination@2$NSClockAndCalendarDatePickerStyle@1$NSClosableWindowMask@2$NSClosePathBezierPathElement@3$NSCloudKitSharingServiceAllowPrivate@2$NSCloudKitSharingServiceAllowPublic@1$NSCloudKitSharingServiceAllowReadOnly@16$NSCloudKitSharingServiceAllowReadWrite@32$NSCloudKitSharingServiceStandard@0$NSCollectionElementCategoryDecorationView@2$NSCollectionElementCategoryInterItemGap@3$NSCollectionElementCategoryItem@0$NSCollectionElementCategorySupplementaryView@1$NSCollectionUpdateActionDelete@1$NSCollectionUpdateActionInsert@0$NSCollectionUpdateActionMove@3$NSCollectionUpdateActionNone@4$NSCollectionUpdateActionReload@2$NSCollectionViewDropBefore@1$NSCollectionViewDropOn@0$NSCollectionViewItemHighlightAsDropTarget@3$NSCollectionViewItemHighlightForDeselection@2$NSCollectionViewItemHighlightForSelection@1$NSCollectionViewItemHighlightNone@0$NSCollectionViewScrollDirectionHorizontal@1$NSCollectionViewScrollDirectionVertical@0$NSCollectionViewScrollPositionBottom@4$NSCollectionViewScrollPositionCenteredHorizontally@16$NSCollectionViewScrollPositionCenteredVertically@2$NSCollectionViewScrollPositionLeadingEdge@64$NSCollectionViewScrollPositionLeft@8$NSCollectionViewScrollPositionNearestHorizontalEdge@512$NSCollectionViewScrollPositionNearestVerticalEdge@256$NSCollectionViewScrollPositionNone@0$NSCollectionViewScrollPositionRight@32$NSCollectionViewScrollPositionTop@1$NSCollectionViewScrollPositionTrailingEdge@128$NSColorListModeColorPanel@5$NSColorPanelAllModesMask@65535$NSColorPanelCMYKModeMask@4$NSColorPanelColorListModeMask@32$NSColorPanelCrayonModeMask@128$NSColorPanelCustomPaletteModeMask@16$NSColorPanelGrayModeMask@1$NSColorPanelHSBModeMask@8$NSColorPanelModeCMYK@2$NSColorPanelModeColorList@5$NSColorPanelModeCrayon@7$NSColorPanelModeCustomPalette@4$NSColorPanelModeGray@0$NSColorPanelModeHSB@3$NSColorPanelModeNone@-1$NSColorPanelModeRGB@1$NSColorPanelModeWheel@6$NSColorPanelRGBModeMask@2$NSColorPanelWheelModeMask@64$NSColorRenderingIntentAbsoluteColorimetric@1$NSColorRenderingIntentDefault@0$NSColorRenderingIntentPerceptual@3$NSColorRenderingIntentRelativeColorimetric@2$NSColorRenderingIntentSaturation@4$NSColorSpaceModelCMYK@2$NSColorS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@33554432$NSEventMaskOtherMouseDragged@134217728$NSEventMaskOtherMouseUp@67108864$NSEventMaskPeriodic@65536$NSEventMaskPressure@17179869184$NSEventMaskRightMouseDown@8$NSEventMaskRightMouseDragged@128$NSEventMaskRightMouseUp@16$NSEventMaskRotate@262144$NSEventMaskScrollWheel@4194304$NSEventMaskSmartMagnify@4294967296$NSEventMaskSwipe@2147483648$NSEventMaskSystemDefined@16384$NSEventMaskTabletPoint@8388608$NSEventMaskTabletProximity@16777216$NSEventModifierFlagCapsLock@65536$NSEventModifierFlagCommand@1048576$NSEventModifierFlagControl@262144$NSEventModifierFlagDeviceIndependentFlagsMask@4294901760$NSEventModifierFlagFunction@8388608$NSEventModifierFlagHelp@4194304$NSEventModifierFlagNumericPad@2097152$NSEventModifierFlagOption@524288$NSEventModifierFlagShift@131072$NSEventPhaseBegan@1$NSEventPhaseCancelled@16$NSEventPhaseChanged@4$NSEventPhaseEnded@8$NSEventPhaseMayBegin@32$NSEventPhaseNone@0$NSEventPhaseStationary@2$NSEventSubtypeApplicationActivated@1$NSEventSubtypeApplicationDeactivated@2$NSEventSubtypeMouseEvent@0$NSEventSubtypePowerOff@1$NSEventSubtypeScreenChanged@8$NSEventSubtypeTabletPoint@1$NSEventSubtypeTabletProximity@2$NSEventSubtypeTouch@3$NSEventSubtypeWindowExposed@0$NSEventSubtypeWindowMoved@4$NSEventSwipeTrackingClampGestureAmount@2$NSEventSwipeTrackingLockDirection@1$NSEventTypeAppKitDefined@13$NSEventTypeApplicationDefined@15$NSEventTypeBeginGesture@19$NSEventTypeCursorUpdate@17$NSEventTypeDirectTouch@37$NSEventTypeEndGesture@20$NSEventTypeFlagsChanged@12$NSEventTypeGesture@29$NSEventTypeKeyDown@10$NSEventTypeKeyUp@11$NSEventTypeLeftMouseDown@1$NSEventTypeLeftMouseDragged@6$NSEventTypeLeftMouseUp@2$NSEventTypeMagnify@30$NSEventTypeMouseEntered@8$NSEventTypeMouseExited@9$NSEventTypeMouseMoved@5$NSEventTypeOtherMouseDown@25$NSEventTypeOtherMouseDragged@27$NSEventTypeOtherMouseUp@26$NSEventTypePeriodic@16$NSEventTypePressure@34$NSEventTypeQuickLook@33$NSEventTypeRightMouseDown@3$NSEventTypeRightMouseDragged@7$NSEventTypeRightMouseUp@4$NSEventTypeRotate@18$NSEventTypeScrollWheel@22$NSEventTypeSmartMagnify@32$NSEventTypeSwipe@31$NSEventTypeSystemDefined@14$NSEventTypeTabletPoint@23$NSEventTypeTabletProximity@24$NSExclude10_4ElementsIconCreationOption@4$NSExcludeQuickDrawElementsIconCreationOption@2$NSExecuteFunctionKey@63298$NSExpandedFontMask@32$NSF10FunctionKey@63245$NSF11FunctionKey@63246$NSF12FunctionKey@63247$NSF13FunctionKey@63248$NSF14FunctionKey@63249$NSF15FunctionKey@63250$NSF16FunctionKey@63251$NSF17FunctionKey@63252$NSF18FunctionKey@63253$NSF19FunctionKey@63254$NSF1FunctionKey@63236$NSF20FunctionKey@63255$NSF21FunctionKey@63256$NSF22FunctionKey@63257$NSF23FunctionKey@63258$NSF24FunctionKey@63259$NSF25FunctionKey@63260$NSF26FunctionKey@63261$NSF27FunctionKey@63262$NSF28FunctionKey@63263$NSF29FunctionKey@63264$NSF2FunctionKey@63237$NSF30FunctionKey@63265$NSF31FunctionKey@63266$NSF32FunctionKey@63267$NSF33FunctionKey@63268$NSF34FunctionKey@63269$NSF35FunctionKey@63270$NSF3FunctionKey@63238$NSF4FunctionKey@63239$NSF5FunctionKey@63240$NSF6FunctionKey@63241$NSF7FunctionKey@63242$NSF8FunctionKey@63243$NSF9FunctionKey@63244$NSFPCurrentField@134$NSFPPreviewButton@131$NSFPPreviewField@128$NSFPRevertButton@130$NSFPSetButton@132$NSFPSizeField@129$NSFPSizeTitle@133$NSFileHandlingPanelCancelButton@0$NSFileHandlingPanelOKButton@1$NSFileWrapperReadingImmediate@1$NSFileWrapperReadingWithoutMapping@2$NSFileWrapperWritingAtomic@1$NSFileWrapperWritingWithNameUpdating@2$NSFindFunctionKey@63301$NSFindPanelActionNext@2$NSFindPanelActionPrevious@3$NSFindPanelActionReplace@5$NSFindPanelActionReplaceAll@4$NSFindPanelActionReplaceAllInSelection@8$NSFindPanelActionReplaceAndFind@6$NSFindPanelActionSelectAll@9$NSFindPanelActionSelectAllInSelection@10$NSFindPanelActionSetFindString@7$NSFindPanelActionShowFindPanel@1$NSFindPanelSubstringMatchTypeContains@0$NSFindPanelSubstringMatchTypeEndsWith@3$NSFindPanelSubstringMatchTypeFullWord@2$NSFindPanelSubstringMatchTypeStartsWith@1$NSFitPagination@1$NSFixedPitchFontMask@1024$NSFlagsChanged@12$NSFlagsChangedMask@4096$NSFloatType@3$NSFloatingPointSamplesBitmapFormat@4$NSFloatingWindowLevel@3$NSFocusRingAbove@2$NSFocusRingBelow@1$NSFocusRingOnly@0$NSFocusRingTypeDefault@0$NSFocusRingTypeExterior@2$NSFocusRingTypeNone@1$NSFontAntialiasedIntegerAdvancementsRenderingMode@3$NSFontAntialiasedRenderingMode@1$NSFontAssetDownloadError@66304$NSFontAssetRequestOptionUsesStandardUI@1$NSFontBoldTrait@2$NSFontClarendonSerifsClass@1073741824$NSFontCollectionApplicationOnlyMask@1$NSFontCollectionVisibilityComputer@4$NSFontCollectionVisibilityProcess@1$NSFontCollectionVisibilityUser@2$NSFontCondensedTrait@64$NSFontDefaultRenderingMode@0$NSFontDescriptorClassClarendonSerifs@1073741824$NSFontDescriptorClassFreeformSerifs@1879048192$NSFontDescriptorClassMask@4026531840$NSFontDescriptorClassModernSerifs@805306368$NSFontDescriptorClassOldStyleSerifs@268435456$NSFontDescriptorClassOrnamentals@2415919104$NSFontDescriptorClassSansSerif@2147483648$NSFontDescriptorClassScripts@2684354560$NSFontDes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@3$NSStackViewGravityCenter@2$NSStackViewGravityLeading@1$NSStackViewGravityTop@1$NSStackViewGravityTrailing@3$NSStackViewVisibilityPriorityDetachOnlyIfNecessary@900$NSStackViewVisibilityPriorityMustHold@1000$NSStackViewVisibilityPriorityNotVisible@0$NSStatusItemBehaviorRemovalAllowed@2$NSStatusItemBehaviorTerminationOnRemoval@4$NSStatusWindowLevel@25$NSStopFunctionKey@63284$NSStringDrawingDisableScreenFontSubstitution@4$NSStringDrawingOneShot@16$NSStringDrawingTruncatesLastVisibleLine@32$NSStringDrawingUsesDeviceMetrics@8$NSStringDrawingUsesFontLeading@2$NSStringDrawingUsesLineFragmentOrigin@1$NSSubmenuWindowLevel@3$NSSwitchButton@3$NSSysReqFunctionKey@63281$NSSystemDefined@14$NSSystemDefinedMask@16384$NSSystemFunctionKey@63287$NSTIFFCompressionCCITTFAX3@3$NSTIFFCompressionCCITTFAX4@4$NSTIFFCompressionJPEG@6$NSTIFFCompressionLZW@5$NSTIFFCompressionNEXT@32766$NSTIFFCompressionNone@1$NSTIFFCompressionOldJPEG@32865$NSTIFFCompressionPackBits@32773$NSTIFFFileType@0$NSTabCharacter@9$NSTabPositionBottom@3$NSTabPositionLeft@2$NSTabPositionNone@0$NSTabPositionRight@4$NSTabPositionTop@1$NSTabTextMovement@17$NSTabViewBorderTypeBezel@2$NSTabViewBorderTypeLine@1$NSTabViewBorderTypeNone@0$NSTabViewControllerTabStyleSegmentedControlOnBottom@1$NSTabViewControllerTabStyleSegmentedControlOnTop@0$NSTabViewControllerTabStyleToolbar@2$NSTabViewControllerTabStyleUnspecified@-1$NSTableColumnAutoresizingMask@1$NSTableColumnNoResizing@0$NSTableColumnUserResizingMask@2$NSTableRowActionEdgeLeading@0$NSTableRowActionEdgeTrailing@1$NSTableViewAnimationEffectFade@1$NSTableViewAnimationEffectGap@2$NSTableViewAnimationEffectNone@0$NSTableViewAnimationSlideDown@32$NSTableViewAnimationSlideLeft@48$NSTableViewAnimationSlideRight@64$NSTableViewAnimationSlideUp@16$NSTableViewDashedHorizontalGridLineMask@8$NSTableViewDraggingDestinationFeedbackStyleGap@2$NSTableViewDraggingDestinationFeedbackStyleNone@-1$NSTableViewDraggingDestinationFeedbackStyleRegular@0$NSTableViewDraggingDestinationFeedbackStyleSourceList@1$NSTableViewDropAbove@1$NSTableViewDropOn@0$NSTableViewFirstColumnOnlyAutoresizingStyle@5$NSTableViewGridNone@0$NSTableViewLastColumnOnlyAutoresizingStyle@4$NSTableViewNoColumnAutoresizing@0$NSTableViewReverseSequentialColumnAutoresizingStyle@3$NSTableViewRowActionStyleDestructive@1$NSTableViewRowActionStyleRegular@0$NSTableViewRowSizeStyleCustom@0$NSTableViewRowSizeStyleDefault@-1$NSTableViewRowSizeStyleLarge@3$NSTableViewRowSizeStyleMedium@2$NSTableViewRowSizeStyleSmall@1$NSTableViewSelectionHighlightStyleNone@-1$NSTableViewSelectionHighlightStyleRegular@0$NSTableViewSelectionHighlightStyleSourceList@1$NSTableViewSequentialColumnAutoresizingStyle@2$NSTableViewSolidHorizontalGridLineMask@2$NSTableViewSolidVerticalGridLineMask@1$NSTableViewUniformColumnAutoresizingStyle@1$NSTabletPoint@23$NSTabletPointEventSubtype@1$NSTabletPointMask@8388608$NSTabletProximity@24$NSTabletProximityEventSubtype@2$NSTabletProximityMask@16777216$NSTerminateCancel@0$NSTerminateLater@2$NSTerminateNow@1$NSTextAlignmentCenter@2$NSTextAlignmentJustified@3$NSTextAlignmentLeft@0$NSTextAlignmentNatural@4$NSTextAlignmentRight@1$NSTextBlockAbsoluteValueType@0$NSTextBlockBaselineAlignment@3$NSTextBlockBorder@0$NSTextBlockBottomAlignment@2$NSTextBlockHeight@4$NSTextBlockMargin@1$NSTextBlockMaximumHeight@6$NSTextBlockMaximumWidth@2$NSTextBlockMiddleAlignment@1$NSTextBlockMinimumHeight@5$NSTextBlockMinimumWidth@1$NSTextBlockPadding@-1$NSTextBlockPercentageValueType@1$NSTextBlockTopAlignment@0$NSTextBlockWidth@0$NSTextCellType@1$NSTextFieldAndStepperDatePickerStyle@0$NSTextFieldDatePickerStyle@2$NSTextFieldRoundedBezel@1$NSTextFieldSquareBezel@0$NSTextFinderActionHideFindInterface@11$NSTextFinderActionHideReplaceInterface@13$NSTextFinderActionNextMatch@2$NSTextFinderActionPreviousMatch@3$NSTextFinderActionReplace@5$NSTextFinderActionReplaceAll@4$NSTextFinderActionReplaceAllInSelection@8$NSTextFinderActionReplaceAndFind@6$NSTextFinderActionSelectAll@9$NSTextFinderActionSelectAllInSelection@10$NSTextFinderActionSetSearchString@7$NSTextFinderActionShowFindInterface@1$NSTextFinderActionShowReplaceInterface@12$NSTextFinderMatchingTypeContains@0$NSTextFinderMatchingTypeEndsWith@3$NSTextFinderMatchingTypeFullWord@2$NSTextFinderMatchingTypeStartsWith@1$NSTextLayoutOrientationHorizontal@0$NSTextLayoutOrientationVertical@1$NSTextListPrependEnclosingMarker@1$NSTextMovementBacktab@18$NSTextMovementCancel@23$NSTextMovementDown@22$NSTextMovementLeft@19$NSTextMovementOther@0$NSTextMovementReturn@16$NSTextMovementRight@20$NSTextMovementTab@17$NSTextMovementUp@21$NSTextReadInapplicableDocumentTypeError@65806$NSTextReadWriteErrorMaximum@66303$NSTextReadWriteErrorMinimum@65792$NSTextStorageEditedAttributes@1$NSTextStorageEditedCharacters@2$NSTextTableAutomaticLayoutAlgorithm@0$NSTextTableFixedLayoutAlgorithm@1$NSTextWriteInapplicableDocumentTypeError@66062$NSTextWritingDirectionEmbedding@0$NSTextWritingDirectionOverride@2$NSTexturedBackgroundWindowMask@256$NSTexturedRoundedBezelStyle@11$NSTexturedSquareBezelStyle@8$NSThickSquareBezelStyle@3$NSThickerSquareBezelStyle@4$NSTickMarkAbove@1$NSTickMarkBelow@0$NSTickMarkLeft@1$NSTickMarkPositionAbove@1$NSTickMarkPositionBelow@0$NSTickMarkPositionLeading@1$NSTickMarkPositionTrailing@0$NSTickMarkRight@0$NSTimeZoneDatePickerElementFlag@16$NSTitledWindowMask@1$NSToggleButton@2$NSTokenStyleDefault@0$NSTokenStyleNone@1$NSTokenStylePlainSquared@4$NSTokenStyleRounded@2$NSTokenStyleSquared@3$NSToolbarDisplayModeDefault@0$NSToolbarDisplayModeIconAndLabel@1$NSToolbarDisplayModeIconOnly@2$NSToolbarDisplayModeLabelOnly@3$NSToolbarItemVisibilityPriorityHigh@1000$NSToolbarItemVisibilityPriorityLow@-1000$NSToolbarItemVisibilityPriorityStandard@0$NSToolbarItemVisibilityPriorityUser@2000$NSToolbarSizeModeDefault@0$NSToolbarSizeModeRegular@1$NSToolbarSizeModeSmall@2$NSTopTabsBezelBorder@0$NSTornOffMenuWindowLevel@3$NSTouchBarItemPriorityHigh@1000.0$NSTouchBarItemPriorityLow@-1000.0$NSTouchBarItemPriorityNormal@0.0$NSTouchEventSubtype@3$NSTouchPhaseBegan@1$NSTouchPhaseCancelled@16$NSTouchPhaseEnded@8$NSTouchPhaseMoved@2$NSTouchPhaseStationary@4$NSTouchPhaseTouching@7$NSTouchTypeDirect@0$NSTouchTypeIndirect@1$NSTouchTypeMaskDirect@1$NSTouchTypeMaskIndirect@2$NSTrackModeMatrix@3$NSTrackingActiveAlways@128$NSTrackingActiveInActiveApp@64$NSTrackingActiveInKeyWindow@32$NSTrackingActiveWhenFirstResponder@16$NSTrackingAssumeInside@256$NSTrackingCursorUpdate@4$NSTrackingEnabledDuringMouseDrag@1024$NSTrackingInVisibleRect@512$NSTrackingMouseEnteredAndExited@1$NSTrackingMouseMoved@2$NSTwoByteGlyphPacking@3$NSTypesetterBehavior_10_2@2$NSTypesetterBehavior_10_2_WithCompatibility@1$NSTypesetterBehavior_10_3@3$NSTypesetterBehavior_10_4@4$NSTypesetterContainerBreakAction@32$NSTypesetterHorizontalTabAction@4$NSTypesetterLatestBehavior@-1$NSTypesetterLineBreakAction@8$NSTypesetterOriginalBehavior@0$NSTypesetterParagraphBreakAction@16$NSTypesetterWhitespaceAction@2$NSTypesetterZeroAdvancementAction@1$NSUnboldFontMask@4$NSUnderlinePatternDash@512$NSUnderlinePatternDashDot@768$NSUnderlinePatternDashDotDot@1024$NSUnderlinePatternDot@256$NSUnderlinePatternSolid@0$NSUnderlineStyleDouble@9$NSUnderlineStyleNone@0$NSUnderlineStyleSingle@1$NSUnderlineStyleThick@2$NSUndoFunctionKey@63299$NSUnifiedTitleAndToolbarWindowMask@4096$NSUnitalicFontMask@16777216$NSUnknownColorSpaceModel@-1$NSUnknownPageOrder@2$NSUnknownPointingDevice@0$NSUnscaledWindowMask@2048$NSUpArrowFunctionKey@63232$NSUpTextMovement@21$NSUpdateWindowsRunLoopOrdering@500000$NSUserFunctionKey@63286$NSUserInterfaceLayoutDirectionLeftToRight@0$NSUserInterfaceLayoutDirectionRightToLeft@1$NSUserInterfaceLayoutOrientationHorizontal@0$NSUserInterfaceLayoutOrientationVertical@1$NSUtilityWindowMask@16$NSVariableStatusItemLength@-1$NSVerticalRuler@1$NSViaPanelFontAction@1$NSViewControllerTransitionAllowUserInteraction@4096$NSViewControllerTransitionCrossfade@1$NSViewControllerTransitionNone@0$NSViewControllerTransitionSlideBackward@384$NSViewControllerTransitionSlideDown@32$NSViewControllerTransitionSlideForward@320$NSViewControllerTransitionSlideLeft@64$NSViewControllerTransitionSlideRight@128$NSViewControllerTransitionSlideUp@16$NSViewHeightSizable@16$NSViewLayerContentsPlacementBottom@8$NSViewLayerContentsPlacementBottomLeft@9$NSViewLayerContentsPlacementBottomRight@7$NSViewLayerContentsPlacementCenter@3$NSViewLayerContentsPlacementLeft@10$NSViewLayerContentsPlacementRight@6$NSViewLayerContentsPlacementScaleAxesIndependently@0$NSViewLayerContentsPlacementScaleProportionallyToFill@2$NSViewLayerContentsPlacementScaleProportionallyToFit@1$NSViewLayerContentsPlacementTop@4$NSViewLayerContentsPlacementTopLeft@11$NSViewLayerContentsPlacementTopRight@5$NSViewLayerContentsRedrawBeforeViewResize@3$NSViewLayerContentsRedrawCrossfade@4$NSViewLayerContentsRedrawDuringViewResize@2$NSViewLayerContentsRedrawNever@0$NSViewLayerContentsRedrawOnSetNeedsDisplay@1$NSViewMaxXMargin@4$NSViewMaxYMargin@32$NSViewMinXMargin@1$NSViewMinYMargin@8$NSViewNotSizable@0$NSViewWidthSizable@2$NSVisualEffectBlendingModeBehindWindow@0$NSVisualEffectBlendingModeWithinWindow@1$NSVisualEffectMaterialAppearanceBased@0$NSVisualEffectMaterialDark@2$NSVisualEffectMaterialLight@1$NSVisualEffectMaterialMediumLight@8$NSVisualEffectMaterialMenu@5$NSVisualEffectMaterialPopover@6$NSVisualEffectMaterialSelection@4$NSVisualEffectMaterialSidebar@7$NSVisualEffectMaterialTitlebar@3$NSVisualEffectMaterialUltraDark@9$NSVisualEffectStateActive@1$NSVisualEffectStateFollowsWindowActiveState@0$NSVisualEffectStateInactive@2$NSWantsBidiLevels@4$NSWarningAlertStyle@0$NSWheelModeColorPanel@6$NSWindowAbove@1$NSWindowAnimationBehaviorAlertPanel@5$NSWindowAnimationBehaviorDefault@0$NSWindowAnimationBehaviorDocumentWindow@3$NSWindowAnimationBehaviorNone@2$NSWindowAnimationBehaviorUtilityWindow@4$NSWindowBackingLocationDefault@0$NSWindowBackingLocationMainMemory@2$NSWindowBackingLocationVideoMemory@1$NSWindowBelow@-1$NSWindowCloseButton@0$NSWindowCollectionBehaviorCanJoinAllSpaces@1$NSWindowCollectionBehaviorDefault@0$NSWindowCollectionBehaviorFullScreenAllowsTiling@2048$NSWindowCollectionBehaviorFullScreenAuxiliary@256$NSWindowCollectionBehaviorFullScreenDisallowsTiling@4096$NSWindowCollectionBehaviorFullScreenNone@512$NSWindowCollectionBehaviorFullScreenPrimary@128$NSWindowCollectionBehaviorIgnoresCycle@64$NSWindowCollectionBehaviorManaged@4$NSWindowCollectionBehaviorMoveToActiveSpace@2$NSWindowCollectionBehaviorParticipatesInCycle@32$NSWindowCollectionBehaviorStationary@16$NSWindowCollectionBehaviorTransient@8$NSWindowDepthOnehundredtwentyeightBitRGB@544$NSWindowDepthSixtyfourBitRGB@528$NSWindowDepthTwentyfourBitRGB@520$NSWindowDocumentIconButton@4$NSWindowDocumentVersionsButton@6$NSWindowExposedEventType@0$NSWindowFullScreenButton@7$NSWindowListOrderedFrontToBack@1$NSWindowMiniaturizeButton@1$NSWindowMovedEventType@4$NSWindowNumberListAllApplications@1$NSWindowNumberListAllSpaces@16$NSWindowOcclusionStateVisible@2$NSWindowOut@0$NSWindowSharingNone@0$NSWindowSharingReadOnly@1$NSWindowSharingReadWrite@2$NSWindowStyleMaskBorderless@0$NSWindowStyleMaskClosable@2$NSWindowStyleMaskDocModalWindow@64$NSWindowStyleMaskFullScreen@16384$NSWindowStyleMaskFullSizeContentView@32768$NSWindowStyleMaskHUDWindow@8192$NSWindowStyleMaskMiniaturizable@4$NSWindowStyleMaskNonactivatingPanel@128$NSWindowStyleMaskResizable@8$NSWindowStyleMaskTexturedBackground@256$NSWindowStyleMaskTitled@1$NSWindowStyleMaskUnifiedTitleAndToolbar@4096$NSWindowStyleMaskUtilityWindow@16$NSWindowTabbingModeAutomatic@0$NSWindowTabbingModeDisallowed@2$NSWindowTabbingModePreferred@1$NSWindowTitleHidden@1$NSWindowTitleVisible@0$NSWindowToolbarButton@3$NSWindowUserTabbingPreferenceAlways@1$NSWindowUserTabbingPreferenceInFullScreen@2$NSWindowUserTabbingPreferenceManual@0$NSWindowZoomButton@2$NSWindows95InterfaceStyle@2$NSWorkspaceLaunchAllowingClassicStartup@131072$NSWorkspaceLaunchAndHide@1048576$NSWorkspaceLaunchAndHideOthers@2097152$NSWorkspaceLaunchAndPrint@2$NSWorkspaceLaunchAsync@65536$NSWorkspaceLaunchDefault@65536$NSWorkspaceLaunchInhibitingBackgroundOnly@128$NSWorkspaceLaunchNewInstance@524288$NSWorkspaceLaunchPreferringClassic@262144$NSWorkspaceLaunchWithErrorPresentation@64$NSWorkspaceLaunchWithoutActivation@512$NSWorkspaceLaunchWithoutAddingToRecents@256$NSWritingDirectionEmbedding@0$NSWritingDirectionLeftToRight@0$NSWritingDirectionNatural@-1$NSWritingDirectionOverride@2$NSWritingDirectionRightToLeft@1$NSYearMonthDatePickerElementFlag@192$NSYearMonthDayDatePickerElementFlag@224$NumGlyphsToGetEachTime@20$''' misc.update({'NSAnyEventMask': sel32or64(4294967295, 18446744073709551615), 'NSTouchPhaseAny': sel32or64(4294967295, 18446744073709551615), 'NS_USER_ACTIVITY_SUPPORTED': sel32or64(0, 1), 'NSAttachmentCharacter': b'\xef\xbf\xbc'.decode("utf-8"), 'NSDragOperationEvery': sel32or64(4294967295, 18446744073709551615)}) misc.update({'NSAppKitVersionNumber10_4_1': 824.1, 'NSAppKitVersionNumber10_4_3': 824.23, 'NSAppKitVersionNumber10_3_9': 743.36, 'NSAppKitVersionNumber10_4_4': 824.33, 'NSAppKitVersionNumber10_4_7': 824.41, 'NSAppKitVersionNumber10_3_2': 743.14, 'NSAppKitVersionNumber10_3_3': 743.2, 'NSAppKitVersionNumber10_3_7': 743.33, 'NSAppKitVersionNumber10_3_5': 743.24, 'NSAppKitVersionNumberWithDockTilePlugInSupport': 1001.0, 'NSAppKitVersionNumberWithCursorSizeSupport': 682.0, 'NSAppKitVersionNumber10_5_2': 949.27, 'NSAppKitVersionNumber10_5_3': 949.33, 'NSAppKitVersionNumberWithCustomSheetPosition': 686.0, 'NSAppKitVersionNumber10_2_3': 663.6, 'NSAppKitVersionNumberWithDirectionalTabs': 631.0, 'NSAppKitVersionNumberWithColumnResizingBrowser': 685.0, 'NSAppKitVersionNumberWithDeferredWindowDisplaySupport': 1019.0, 'NSAppKitVersionNumberWithContinuousScrollingBrowser': 680.0, 'NSAppKitVersionNumberWithPatternColorLeakFix': 641.0, 'NSAppKitVersionNumber10_7_4': 1138.47, 'NSAppKitVersionNumber10_7_2': 1138.23, 'NSAppKitVersionNumber10_7_3': 1138.32, 'NSBaselineNotSet': -1.0}) functions={'NSRectClipList': (sel32or64(b'v^{_NSRect={_NSPoint=ff}{_NSSize=ff}}i', b'v^{CGRect={CGPoint=dd}{CGSize=dd}}q'), '', {'arguments': {0: {'c_array_length_in_arg': 1, 'type_modifier': 'n'}}}), 'NSApplicationLoad': (b'Z',), 'NSCountWindows': (sel32or64(b'v^i', b'v^q'), '', {'arguments': {0: {'type_modifier': 'o'}}}), 'NSGetAlertPanel': (b'@@@@@@', '', {'arguments': {1: {'printf_format': True}}, 'variadic': True}), 'NSApplicationMain': (b'ii^^c',), 'NSOpenGLGetVersion': (b'v^i^i', '', {'arguments': {0: {'type_modifier': 'o'}, 1: {'type_modifier': 'o'}}}), 'NSAccessibilityActionDescription': (b'@@',), 'NSRunAlertPanelRelativeToWindow': (sel32or64(b'i@@@@@@', b'q@@@@@@'), '', {'arguments': {1: {'printf_format': 1}}, 'variadic': True}), 'NSTouchTypeMaskFromType': (sel32or64(b'II', b'QQ'), '', {'inline': True}), 'NSDrawLightBezel': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSDrawNinePartImage': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}@@@@@@@@@IfZ', b'v{CGRect={CGPoint=dd}{CGSize=dd}}@@@@@@@@@QdZ'),), 'NSOpenGLSetOption': (b'vIi',), 'NSRectClip': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSDottedFrameRect': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSDrawBitmap': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}iiiiiiZZ@[5^C]', b'v{CGRect={CGPoint=dd}{CGSize=dd}}qqqqqqZZ@[5^C]'),), 'NSConvertGlyphsToPackedGlyphs': (sel32or64(b'i^IiI^c', b'q^IqQ^c'),), 'NSGetFileType': (b'@@',), 'NSWindowList': (sel32or64(b'vi^i', b'vq^q'), '', {'arguments': {1: {'c_array_length_in_arg': 0, 'type_modifier': 'o'}}}), 'NSAccessibilityRaiseBadArgumentException': (b'v@@@',), 'NSAccessibilityUnignoredDescendant': (b'@@',), 'NSRectFill': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSGetCriticalAlertPanel': (b'@@@@@@', '', {'arguments': {1: {'printf_format': True}}, 'variadic': True}), 'NSAccessibilityFrameInView': (sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}@{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}@{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSDrawThreePartImage': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}@@@ZIfZ', b'v{CGRect={CGPoint=dd}{CGSize=dd}}@@@ZQdZ'),), 'NSAccessibilityRoleDescription': (b'@@@',), 'NSRunCriticalAlertPanel': (sel32or64(b'i@@@@@', b'q@@@@@'), '', {'arguments': {1: {'printf_format': 1}}, 'variadic': True}), 'NSFrameRect': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSDrawColorTiledRects': (sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}^I^@i', b'{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}^Q^@q'), '', {'arguments': {2: {'c_array_length_in_arg': 4, 'type_modifier': 'n'}, 3: {'c_array_length_in_arg': 4, 'type_modifier': 'n'}}}), 'NSBeginCriticalAlertSheet': (b'v@@@@@@::^v@', '', {'arguments': {9: {'printf_format': True}, 6: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 7: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}}, 'variadic': True}), 'NSBeginAlertSheet': (b'v@@@@@@::^v@', '', {'arguments': {9: {'printf_format': True}, 6: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 7: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}}, 'variadic': True}), 'NSCountWindowsForContext': (sel32or64(b'vi^i', b'vq^q'), '', {'arguments': {1: {'type_modifier': 'o'}}}), 'NSGetWindowServerMemory': (sel32or64(b'ii^i^i^@', b'qq^q^q^@'), '', {'arguments': {1: {'type_modifier': 'o'}, 2: {'type_modifier': 'o'}, 3: {'type_modifier': 'o'}}}), 'NSShowAnimationEffect': (sel32or64(b'vI{_NSPoint=ff}{_NSSize=ff}@:^v', b'vQ{CGPoint=dd}{CGSize=dd}@:^v'), '', {'arguments': {4: {'sel_of_type': b'v@:^v'}}}), 'NSRunCriticalAlertPanelRelativeToWindow': (sel32or64(b'i@@@@@@', b'q@@@@@@'), '', {'arguments': {1: {'printf_format': 1}}, 'variadic': True}), 'NSAccessibilityUnignoredChildren': (b'@@',), 'NSRectFillListUsingOperation': (sel32or64(b'v^{_NSRect={_NSPoint=ff}{_NSSize=ff}}iI', b'v^{CGRect={CGPoint=dd}{CGSize=dd}}qQ'), '', {'arguments': {0: {'c_array_length_in_arg': 1, 'type_modifier': 'n'}}}), 'NSCreateFilenamePboardType': (b'@@', '', {'retval': {'already_cfretained': True}}), 'NSInterfaceStyleForKey': (sel32or64(b'I@@', b'Q@@'),), 'NSAvailableWindowDepths': (b'^i', '', {'retval': {'c_array_delimited_by_null': True}}), 'NSBeginInformationalAlertSheet': (b'v@@@@@@::^v@', '', {'arguments': {9: {'printf_format': True}, 6: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 7: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}}, 'variadic': True}), 'NSUnregisterServicesProvider': (b'v@',), 'NSEventMaskFromType': (sel32or64(b'II', b'QQ'),), 'NSRectFillUsingOperation': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}I', b'v{CGRect={CGPoint=dd}{CGSize=dd}}Q'),), 'NSBitsPerSampleFromDepth': (sel32or64(b'ii', b'qi'),), 'NSEnableScreenUpdates': (b'v',), 'NSDrawDarkBezel': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSRunInformationalAlertPanelRelativeToWindow': (sel32or64(b'i@@@@@@', b'q@@@@@@'), '', {'arguments': {1: {'printf_format': 1}}, 'variadic': True}), 'NSPerformService': (b'Z@@',), 'NSGetFileTypes': (b'@@',), 'NSDrawWhiteBezel': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSReleaseAlertPanel': (b'v@',), 'NSAccessibilityUnignoredAncestor': (b'@@',), 'NSAccessibilityPostNotificationWithUserInfo': (b'v@@@',), 'NSSetFocusRingStyle': (sel32or64(b'vI', b'vQ'),), 'NSAccessibilityPostNotification': (b'v@@',), 'NSDrawTiledRects': (sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}^I^fi', b'{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}^Q^dq'), '', {'arguments': {2: {'c_array_length_in_arg': 4, 'type_modifier': 'n'}, 3: {'c_array_length_in_arg': 4, 'type_modifier': 'n'}}}), 'NSAccessibilityPointInView': (sel32or64(b'{_NSPoint=ff}@{_NSPoint=ff}', b'{CGPoint=dd}@{CGPoint=dd}'),), 'NSUpdateDynamicServices': (b'v',), 'NSIsControllerMarker': (b'Z@',), 'NSDrawButton': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSSetShowsServicesMenuItem': (sel32or64(b'i@Z', b'q@Z'),), 'NSOpenGLGetOption': (b'vI^i', '', {'arguments': {1: {'type_modifier': 'o'}}}), 'NSCreateFileContentsPboardType': (b'@@', '', {'retval': {'already_cfretained': True}}), 'NSCopyBits': (sel32or64(b'vi{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSPoint=ff}', b'vq{CGRect={CGPoint=dd}{CGSize=dd}}{CGPoint=dd}'), '', {'retval': {'already_cfretained': True}}), 'NSDisableScreenUpdates': (b'v',), 'NSEdgeInsetsMake': (sel32or64(b'{NSEdgeInsets=ffff}ffff', b'{NSEdgeInsets=dddd}dddd'),), 'NSReadPixel': (sel32or64(b'@{_NSPoint=ff}', b'@{CGPoint=dd}'),), 'NSWindowListForContext': (sel32or64(b'vii^i', b'vqq^q'), '', {'arguments': {2: {'c_array_length_in_arg': 1, 'type_modifier': 'o'}}}), 'NSAccessibilityRoleDescriptionForUIElement': (b'@@',), 'NSDrawWindowBackground': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSShowsServicesMenuItem': (b'Z@',), 'NSPlanarFromDepth': (b'Zi',), 'NSHighlightRect': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSFrameRectWithWidthUsingOperation': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}fI', b'v{CGRect={CGPoint=dd}{CGSize=dd}}dQ'),), 'NSRectFillListWithColorsUsingOperation': (sel32or64(b'v^{_NSRect={_NSPoint=ff}{_NSSize=ff}}^@iI', b'v^{CGRect={CGPoint=dd}{CGSize=dd}}^@qQ'), '', {'arguments': {0: {'c_array_length_in_arg': 2, 'type_modifier': 'n'}, 1: {'c_array_length_in_arg': 2, 'type_modifier': 'n'}}}), 'NSDrawGroove': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSNumberOfColorComponents': (sel32or64(b'i@', b'q@'),), 'NSFrameRectWithWidth': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}f', b'v{CGRect={CGPoint=dd}{CGSize=dd}}d'),), 'NSEraseRect': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSRectFillListWithColors': (sel32or64(b'v^{_NSRect={_NSPoint=ff}{_NSSize=ff}}^@i', b'v^{CGRect={CGPoint=dd}{CGSize=dd}}^@q'), '', {'arguments': {0: {'c_array_length_in_arg': 2, 'type_modifier': 'n'}, 1: {'c_array_length_in_arg': 2, 'type_modifier': 'n'}}}), 'NSBestDepth': (sel32or64(b'i@iiZ^Z', b'i@qqZ^Z'), '', {'arguments': {4: {'type_modifier': 'o'}}}), 'NSColorSpaceFromDepth': (b'@i',), 'NSBeep': (b'v',), 'NSAccessibilitySetMayContainProtectedContent': (b'ZZ',), 'NSBitsPerPixelFromDepth': (sel32or64(b'ii', b'qi'),), 'NSAccessibilityUnignoredChildrenForOnlyChild': (b'@@',), 'NSDrawGrayBezel': (sel32or64(b'v{_NSRect={_NSPoint=ff}{_NSSize=ff}}{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'v{CGRect={CGPoint=dd}{CGSize=dd}}{CGRect={CGPoint=dd}{CGSize=dd}}'),), 'NSRectFillList': (sel32or64(b'v^{_NSRect={_NSPoint=ff}{_NSSize=ff}}i', b'v^{CGRect={CGPoint=dd}{CGSize=dd}}q'), '', {'arguments': {0: {'c_array_length_in_arg': 1, 'type_modifier': 'n'}}}), 'NSRunAlertPanel': (sel32or64(b'i@@@@@', b'q@@@@@'), '', {'arguments': {1: {'printf_format': 1}}, 'variadic': True}), 'NSGetInformationalAlertPanel': (b'@@@@@@', '', {'arguments': {1: {'printf_format': True}}, 'variadic': True}), 'NSRectFillListWithGrays': (sel32or64(b'v^{_NSRect={_NSPoint=ff}{_NSSize=ff}}^fi', b'v^{CGRect={CGPoint=dd}{CGSize=dd}}^dq'), '', {'arguments': {0: {'c_array_length_in_arg': 2, 'type_modifier': 'n'}, 1: {'c_array_length_in_arg': 2, 'type_modifier': 'n'}}}), 'NSRunInformationalAlertPanel': (sel32or64(b'i@@@@@', b'q@@@@@'), '', {'arguments': {1: {'printf_format': 1}}, 'variadic': True}), 'NSRegisterServicesProvider': (b'v@@',)} aliases = {'NSLayoutFormatAlignAllLastBaseline': 'NSLayoutFormatAlignAllBaseline', 'NSImageRepRegistryChangedNotification': 'NSImageRepRegistryDidChangeNotification', 'NSDragOperationAll': 'NSDragOperationAll_Obsolete', 'NSTickMarkRight': 'NSTickMarkBelow', 'NSModalPanelWindowLevel': 'kCGModalPanelWindowLevel', 'NSSubmenuWindowLevel': 'kCGTornOffMenuWindowLevel', 'NSGestureRecognizerStateRecognized': 'NSGestureRecognizerStateEnded', 'NSTornOffMenuWindowLevel': 'kCGTornOffMenuWindowLevel', 'NSPopUpMenuWindowLevel': 'kCGPopUpMenuWindowLevel', 'NSMainMenuWindowLevel': 'kCGMainMenuWindowLevel', 'NSDraggingItemEnumerationConcurrent': 'NSEnumerationConcurrent', 'NSScreenSaverWindowLevel': 'kCGScreenSaverWindowLevel', 'NSEventDurationForever': 'DBL_MAX', 'APPKIT_PRIVATE_EXTERN': '__private_extern__', 'NSLayoutAttributeLastBaseline': 'NSLayoutAttributeBaseline', 'IBAction': 'void', 'NSFileHandlingPanelCancelButton': 'NSModalResponseCancel', 'NSNormalWindowLevel': 'kCGNormalWindowLevel', 'NSFileHandlingPanelOKButton': 'NSModalResponseOK', 'NSFloatingWindowLevel': 'kCGFloatingWindowLevel', 'NSDockWindowLevel': 'kCGDockWindowLevel', 'NSTickMarkLeft': 'NSTickMarkAbove', 'NSStackViewSpacingUseDefault': 'FLT_MAX', 'NSStatusWindowLevel': 'kCGStatusWindowLevel'} misc.update({'NSModalSession': objc.createOpaquePointerType('NSModalSession', b'^{_NSModalSession}')}) r = objc.registerMetaDataForSelector objc._updatingMetadata(True) try: r(b'CIImage', b'drawAtPoint:fromRect:operation:fraction:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'CIImage', b'drawInRect:fromRect:operation:fraction:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSATSTypesetter', b'bidiProcessingEnabled', {'retval': {'type': 'Z'}}) r(b'NSATSTypesetter', b'boundingBoxForControlGlyphAtIndex:forTextContainer:proposedLineFragment:glyphPosition:characterIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 6: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSATSTypesetter', b'characterRangeForGlyphRange:actualGlyphRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSATSTypesetter', b'deleteGlyphsInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'getGlyphsInRange:glyphs:characterIndexes:glyphInscriptions:elasticBits:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 4: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 5: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 6: {'type': '^Z', 'type_modifier': b'o', 'c_array_length_in_arg': 2}}}) r(b'NSATSTypesetter', b'getLineFragmentRect:usedRect:forParagraphSeparatorGlyphRange:atProposedOrigin:', {'retval': {'type': 'v'}, 'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSATSTypesetter', b'glyphRangeForCharacterRange:actualCharacterRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSATSTypesetter', b'layoutParagraphAtPoint:', {'arguments': {2: {'type_modifier': b'N'}}}) r(b'NSATSTypesetter', b'lineFragmentRectForProposedRect:remainingRect:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type_modifier': b'o'}}}) r(b'NSATSTypesetter', b'lineSpacingAfterGlyphAtIndex:withProposedLineFragmentRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSATSTypesetter', b'paragraphGlyphRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSATSTypesetter', b'paragraphSeparatorGlyphRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSATSTypesetter', b'paragraphSpacingAfterGlyphAtIndex:withProposedLineFragmentRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSATSTypesetter', b'paragraphSpacingBeforeGlyphAtIndex:withProposedLineFragmentRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSATSTypesetter', b'setAttachmentSize:forGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setBidiLevels:forGlyphRange:', {'arguments': {2: {'type': '^z', 'type_modifier': b'n', 'c_array_length_in_arg': 3}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setBidiProcessingEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSATSTypesetter', b'setDrawsOutsideLineFragment:forGlyphRange:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setHardInvalidation:forGlyphRange:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setLineFragmentRect:forGlyphRange:usedRect:baselineOffset:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'f', b'd')}}}) r(b'NSATSTypesetter', b'setLocation:withAdvancements:forStartOfGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setNotShownAttribute:forGlyphRange:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setParagraphGlyphRange:separatorGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSATSTypesetter', b'setUsesFontLeading:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSATSTypesetter', b'shouldBreakLineByHyphenatingBeforeCharacterAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSATSTypesetter', b'shouldBreakLineByWordBeforeCharacterAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSATSTypesetter', b'substituteGlyphsInRange:withGlyphs:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 2}}}) r(b'NSATSTypesetter', b'usesFontLeading', {'retval': {'type': 'Z'}}) r(b'NSATSTypesetter', b'willSetLineFragmentRect:forGlyphRange:usedRect:baselineOffset:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 5: {'type': sel32or64(b'^f', b'^d'), 'type_modifier': b'N'}}}) r(b'NSAccessibilityCustomAction', b'handler', {'retval': {'callable': {'retval': {'type': b'Z'}, 'arguments': {0: {'type': b'^v'}}}}}) r(b'NSAccessibilityCustomAction', b'initWithName:handler:', {'arguments': {3: {'callable': {'retval': {'type': b'Z'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSAccessibilityCustomAction', b'initWithName:target:selector:', {'arguments': {4: {'sel_of_type': b'Z@:'}}}) r(b'NSAccessibilityCustomAction', b'setHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'Z'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSActionCell', b'setAction:', {'retval': {'type': 'v'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSActionCell', b'setBezeled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSActionCell', b'setBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSActionCell', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSActionCell', b'setFloatingPointFormat:left:right:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSAlert', b'alertWithMessageText:defaultButton:alternateButton:otherButton:informativeTextWithFormat:', {'arguments': {6: {'printf_format': True, 'type': '@'}}, 'variadic': True}) r(b'NSAlert', b'beginSheetModalForWindow:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSAlert', b'beginSheetModalForWindow:modalDelegate:didEndSelector:contextInfo:', {'arguments': {4: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 5: {'type': '^v'}}}) r(b'NSAlert', b'setShowsHelp:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSAlert', b'setShowsSuppressionButton:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSAlert', b'showsHelp', {'retval': {'type': 'Z'}}) r(b'NSAlert', b'showsSuppressionButton', {'retval': {'type': 'Z'}}) r(b'NSAnimation', b'isAnimating', {'retval': {'type': 'Z'}}) r(b'NSAnimationContext', b'allowsImplicitAnimation', {'retval': {'type': b'Z'}}) r(b'NSAnimationContext', b'completionHandler', {'retval': {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}) r(b'NSAnimationContext', b'runAnimationGroup:completionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}, 3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSAnimationContext', b'setAllowsImplicitAnimation:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSAnimationContext', b'setCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSAppearance', b'allowsVibrancy', {'retval': {'type': b'Z'}}) r(b'NSApplication', b'activateIgnoringOtherApps:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSApplication', b'addWindowsItem:title:filename:', {'arguments': {4: {'type': 'Z'}}}) r(b'NSApplication', b'beginSheet:modalForWindow:modalDelegate:didEndSelector:contextInfo:', {'arguments': {5: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 6: {'type': '^v'}}}) r(b'NSApplication', b'changeWindowsItem:title:filename:', {'arguments': {4: {'type': 'Z'}}}) r(b'NSApplication', b'detachDrawingThread:toTarget:withObject:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSApplication', b'enumerateWindowsWithOptions:usingBlock:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'o^Z'}}}}}}) r(b'NSApplication', b'isActive', {'retval': {'type': 'Z'}}) r(b'NSApplication', b'isAutomaticCustomizeTouchBarMenuItemEnabled', {'retval': {'type': 'Z'}}) r(b'NSApplication', b'isFullKeyboardAccessEnabled', {'retval': {'type': 'Z'}}) r(b'NSApplication', b'isHidden', {'retval': {'type': 'Z'}}) r(b'NSApplication', b'isRunning', {'retval': {'type': 'Z'}}) r(b'NSApplication', b'makeWindowsPerform:inOrder:', {'arguments': {2: {'sel_of_type': b'v@:'}, 3: {'type': 'Z'}}}) r(b'NSApplication', b'nextEventMatchingMask:untilDate:inMode:dequeue:', {'arguments': {5: {'type': 'Z'}}}) r(b'NSApplication', b'postEvent:atStart:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSApplication', b'replyToApplicationShouldTerminate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSApplication', b'restoreWindowWithIdentifier:state:completionHandler:', {'retval': {'type': b'Z'}, 'arguments': {4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}, 'type': '@?'}}}) r(b'NSApplication', b'searchString:inUserInterfaceItemString:searchRange:foundRange:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSApplication', b'sendAction:to:from:', {'retval': {'type': 'Z'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSApplication', b'setActivationPolicy:', {'retval': {'type': 'Z'}}) r(b'NSApplication', b'setAutomaticCustomizeTouchBarMenuItemEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSApplication', b'setWindowsNeedUpdate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSApplication', b'targetForAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSApplication', b'targetForAction:to:from:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSApplication', b'tryToPerform:with:', {'retval': {'type': 'Z'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSArrayController', b'addSelectedObjects:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'addSelectionIndexes:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'alwaysUsesMultipleValuesMarker', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'automaticallyRearrangesObjects', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'avoidsEmptySelection', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'canInsert', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'canSelectNext', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'canSelectPrevious', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'clearsFilterPredicateOnInsertion', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'preservesSelection', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'removeSelectedObjects:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'removeSelectionIndexes:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'selectsInsertedObjects', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'setAlwaysUsesMultipleValuesMarker:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSArrayController', b'setAutomaticallyRearrangesObjects:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSArrayController', b'setAvoidsEmptySelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSArrayController', b'setClearsFilterPredicateOnInsertion:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSArrayController', b'setPreservesSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSArrayController', b'setSelectedObjects:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'setSelectionIndex:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'setSelectionIndexes:', {'retval': {'type': 'Z'}}) r(b'NSArrayController', b'setSelectsInsertedObjects:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSAttributedString', b'RTFDFileWrapperFromRange:documentAttributes:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'RTFDFromRange:documentAttributes:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'RTFFromRange:documentAttributes:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'URLAtIndex:effectiveRange:', {'arguments': {3: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSAttributedString', b'boundingRectWithSize:options:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSAttributedString', b'containsAttachments', {'retval': {'type': 'Z'}}) r(b'NSAttributedString', b'containsAttachmentsInRange:', {'retval': {'type': 'Z'}}) r(b'NSAttributedString', b'dataFromRange:documentAttributes:error:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'docFormatFromRange:documentAttributes:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'doubleClickAtIndex:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSAttributedString', b'drawAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSAttributedString', b'drawInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSAttributedString', b'drawWithRect:options:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSAttributedString', b'fileWrapperFromRange:documentAttributes:error:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'fontAttributesInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'initWithData:options:documentAttributes:error:', {'arguments': {4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithDocFormat:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithHTML:baseURL:documentAttributes:', {'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithHTML:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithHTML:options:documentAttributes:', {'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithPath:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithRTF:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithRTFD:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithRTFDFileWrapper:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithURL:documentAttributes:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'initWithURL:options:documentAttributes:error:', {'arguments': {4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSAttributedString', b'lineBreakBeforeIndex:withinRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'lineBreakByHyphenatingBeforeIndex:withinRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'nextWordFromIndex:forward:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSAttributedString', b'rangeOfTextBlock:atIndex:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSAttributedString', b'rangeOfTextList:atIndex:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSAttributedString', b'rangeOfTextTable:atIndex:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSAttributedString', b'rulerAttributesInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSAttributedString', b'size', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSBezierPath', b'appendBezierPathWithArcFromPoint:toPoint:radius:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'appendBezierPathWithArcWithCenter:radius:startAngle:endAngle:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'appendBezierPathWithArcWithCenter:radius:startAngle:endAngle:clockwise:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 6: {'type': 'Z'}}}) r(b'NSBezierPath', b'appendBezierPathWithGlyphs:count:inFont:', {'arguments': {2: {'type_modifier': b'n', 'c_array_length_in_arg': 3}}}) r(b'NSBezierPath', b'appendBezierPathWithOvalInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'appendBezierPathWithPackedGlyphs:', {'arguments': {2: {'c_array_delimited_by_null': True, 'type': '^v', 'type_modifier': b'n', 'c_array_length_in_arg': 3}}}) r(b'NSBezierPath', b'appendBezierPathWithPoints:count:', {'arguments': {2: {'type_modifier': b'n', 'c_array_length_in_arg': 3}}}) r(b'NSBezierPath', b'appendBezierPathWithRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'appendBezierPathWithRoundedRect:xRadius:yRadius:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'bezierPathWithOvalInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'bezierPathWithRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'bezierPathWithRoundedRect:xRadius:yRadius:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'bounds', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBezierPath', b'cachesBezierPath', {'retval': {'type': 'Z'}}) r(b'NSBezierPath', b'clipRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'containsPoint:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'controlPointBounds', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBezierPath', b'currentPoint', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSBezierPath', b'curveToPoint:controlPoint1:controlPoint2:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'drawPackedGlyphs:atPoint:', {'arguments': {2: {'c_array_delimited_by_null': True, 'type': '^v', 'type_modifier': b'n'}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'elementAtIndex:associatedPoints:', {'arguments': {3: {'type_modifier': b'o', 'c_array_of_variable_length': True}}}) r(b'NSBezierPath', b'fillRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBezierPath', b'getLineDash:count:phase:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 3}, 3: {'type_modifier': b'N'}, 4: {'type_modifier': b'o'}}}) r(b'NSBezierPath', b'isEmpty', {'retval': {'type': 'Z'}}) r(b'NSBezierPath', b'lineToPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'moveToPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'relativeCurveToPoint:controlPoint1:controlPoint2:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'relativeLineToPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'relativeMoveToPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'setAssociatedPoints:atIndex:', {'arguments': {2: {'c_array_of_variable_length': True}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSBezierPath', b'setCachesBezierPath:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBezierPath', b'setLineDash:count:phase:', {'arguments': {2: {'type_modifier': b'n', 'c_array_length_in_arg': 3}}}) r(b'NSBezierPath', b'strokeLineFromPoint:toPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSBezierPath', b'strokeRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBitmapImageRep', b'CGImage', {'retval': {'type': '^{CGImage=}'}}) r(b'NSBitmapImageRep', b'bitmapData', {'retval': {'type': '^v', 'c_array_of_variable_length': True}}) r(b'NSBitmapImageRep', b'canBeCompressedUsing:', {'retval': {'type': 'Z'}}) r(b'NSBitmapImageRep', b'getBitmapDataPlanes:', {'arguments': {2: {'type': '^*', 'c_array_of_variable_length': True}}}) r(b'NSBitmapImageRep', b'getCompression:factor:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSBitmapImageRep', b'getPixel:atX:y:', {'arguments': {2: {'type_modifier': b'o', 'c_array_of_variable_length': True}}}) r(b'NSBitmapImageRep', b'getTIFFCompressionTypes:count:', {'arguments': {2: {'type': sel32or64(b'^^I', b'^^Q'), 'type_modifier': b'o', 'c_array_length_in_arg': 3}, 3: {'type': sel32or64(b'^i', b'^q'), 'type_modifier': b'o', 'c_array_length_in_arg': 3}}}) r(b'NSBitmapImageRep', b'incrementalLoadFromData:complete:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSBitmapImageRep', b'initWithBitmapDataPlanes:pixelsWide:pixelsHigh:bitsPerSample:samplesPerPixel:hasAlpha:isPlanar:colorSpaceName:bitmapFormat:bytesPerRow:bitsPerPixel:', {'arguments': {2: {'type': '^*'}, 7: {'type': b'Z'}, 8: {'type': b'Z'}}}) r(b'NSBitmapImageRep', b'initWithBitmapDataPlanes:pixelsWide:pixelsHigh:bitsPerSample:samplesPerPixel:hasAlpha:isPlanar:colorSpaceName:bytesPerRow:bitsPerPixel:', {'arguments': {2: {'type': '^*'}, 7: {'type': b'Z'}, 8: {'type': b'Z'}}}) r(b'NSBitmapImageRep', b'initWithCGImage:', {'arguments': {2: {'type': '^{CGImage=}'}}}) r(b'NSBitmapImageRep', b'initWithFocusedViewRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBitmapImageRep', b'isPlanar', {'retval': {'type': 'Z'}}) r(b'NSBitmapImageRep', b'setPixel:atX:y:', {'arguments': {2: {'type': sel32or64(b'^I', b'^Q'), 'type_modifier': b'n', 'c_array_of_variable_length': True}}}) r(b'NSBox', b'borderRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBox', b'contentViewMargins', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSBox', b'isTransparent', {'retval': {'type': 'Z'}}) r(b'NSBox', b'setContentViewMargins:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSBox', b'setFrameFromContentFrame:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBox', b'setTransparent:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBox', b'titleRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBrowser', b'acceptsArrowKeys', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'allowsBranchSelection', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'allowsEmptySelection', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'allowsMultipleSelection', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'allowsTypeSelect', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'autohidesScroller', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'canDragRowsWithIndexes:inColumn:withEvent:', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'draggingImageForRowsWithIndexes:inColumn:withEvent:offset:', {'arguments': {5: {'type_modifier': b'N'}}}) r(b'NSBrowser', b'drawTitleOfColumn:inRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSBrowser', b'editItemAtIndexPath:withEvent:select:', {'arguments': {4: {'type': 'Z'}}}) r(b'NSBrowser', b'frameOfColumn:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBrowser', b'frameOfInsideOfColumn:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBrowser', b'getRow:column:forPoint:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSBrowser', b'hasHorizontalScroller', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'isLeafItem:', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'isLoaded', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'isTitled', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'prefersAllColumnUserResizing', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'reusesColumns', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'sendAction', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'sendsActionOnArrowKeys', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'separatesColumns', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'setAcceptsArrowKeys:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setAllowsBranchSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setAllowsEmptySelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setAllowsMultipleSelection:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setAllowsTypeSelect:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setAutohidesScroller:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setDoubleAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSBrowser', b'setDraggingSourceOperationMask:forLocal:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSBrowser', b'setHasHorizontalScroller:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setPath:', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'setPrefersAllColumnUserResizing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setReusesColumns:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setSendsActionOnArrowKeys:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setSeparatesColumns:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setTakesTitleFromPreviousColumn:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'setTitled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowser', b'takesTitleFromPreviousColumn', {'retval': {'type': 'Z'}}) r(b'NSBrowser', b'titleFrameOfColumn:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSBrowserCell', b'isLeaf', {'retval': {'type': 'Z'}}) r(b'NSBrowserCell', b'isLoaded', {'retval': {'type': 'Z'}}) r(b'NSBrowserCell', b'setLeaf:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSBrowserCell', b'setLoaded:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSBundle', b'loadNibFile:externalNameTable:withZone:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type': '^{_NSZone=}'}}}) r(b'NSBundle', b'loadNibNamed:owner:', {'retval': {'type': 'Z'}}) r(b'NSBundle', b'loadNibNamed:owner:topLevelObjects:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSButton', b'allowsMixedState', {'retval': {'type': 'Z'}}) r(b'NSButton', b'buttonWithImage:target:action:', {'arguments': {4: {'sel_of_type': b'v@:@'}}}) r(b'NSButton', b'buttonWithTitle:image:target:action:', {'arguments': {5: {'sel_of_type': b'v@:@'}}}) r(b'NSButton', b'buttonWithTitle:target:action:', {'arguments': {4: {'sel_of_type': b'v@:@'}}}) r(b'NSButton', b'checkboxWithTitle:target:action:', {'arguments': {4: {'sel_of_type': b'v@:@'}}}) r(b'NSButton', b'getPeriodicDelay:interval:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSButton', b'highlight:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButton', b'imageHugsTitle', {'retval': {'type': 'Z'}}) r(b'NSButton', b'isBordered', {'retval': {'type': 'Z'}}) r(b'NSButton', b'isSpringLoaded', {'retval': {'type': b'Z'}}) r(b'NSButton', b'isTransparent', {'retval': {'type': 'Z'}}) r(b'NSButton', b'performKeyEquivalent:', {'retval': {'type': 'Z'}}) r(b'NSButton', b'radioButtonWithTitle:target:action:', {'arguments': {4: {'sel_of_type': b'v@:@'}}}) r(b'NSButton', b'setAllowsMixedState:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButton', b'setBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButton', b'setImageHugsTitle:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButton', b'setShowsBorderOnlyWhileMouseInside:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButton', b'setSpringLoaded:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSButton', b'setTransparent:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButton', b'showsBorderOnlyWhileMouseInside', {'retval': {'type': 'Z'}}) r(b'NSButtonCell', b'drawBezelWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSButtonCell', b'drawImage:withFrame:inView:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSButtonCell', b'drawTitle:withFrame:inView:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSButtonCell', b'getPeriodicDelay:interval:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSButtonCell', b'imageDimsWhenDisabled', {'retval': {'type': 'Z'}}) r(b'NSButtonCell', b'isOpaque', {'retval': {'type': 'Z'}}) r(b'NSButtonCell', b'isTransparent', {'retval': {'type': 'Z'}}) r(b'NSButtonCell', b'setImageDimsWhenDisabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButtonCell', b'setShowsBorderOnlyWhileMouseInside:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButtonCell', b'setTransparent:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSButtonCell', b'showsBorderOnlyWhileMouseInside', {'retval': {'type': 'Z'}}) r(b'NSCachedImageRep', b'initWithSize:depth:separate:alpha:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 4: {'type': 'Z'}, 5: {'type': 'Z'}}}) r(b'NSCachedImageRep', b'initWithWindow:rect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCachedImageRep', b'rect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSCandidateListTouchBarItem', b'allowsCollapsing', {'retval': {'type': 'Z'}}) r(b'NSCandidateListTouchBarItem', b'allowsTextInputContextCandidates', {'retval': {'type': 'Z'}}) r(b'NSCandidateListTouchBarItem', b'attributedStringForCandidate', {'retval': {'callable': {'retval': {'type': b'@'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': sel32or64(b'i', b'q')}}}}}) r(b'NSCandidateListTouchBarItem', b'isCandidateListVisible', {'retval': {'type': 'Z'}}) r(b'NSCandidateListTouchBarItem', b'isCollapsed', {'retval': {'type': 'Z'}}) r(b'NSCandidateListTouchBarItem', b'setAllowsCollapsing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCandidateListTouchBarItem', b'setAllowsTextInputContextCandidates:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCandidateListTouchBarItem', b'setAttributedStringForCandidate:', {'arguments': {2: {'callable': {'retval': {'type': b'@'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSCandidateListTouchBarItem', b'setCandidateListVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCandidateListTouchBarItem', b'setCollapsed:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCandidateListTouchBarItem', b'updateWithInsertionPointVisibility:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'acceptsFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSCell', b'action', {'retval': {'type': ':', 'sel_of_type': b'v@:@'}}) r(b'NSCell', b'allowsEditingTextAttributes', {'retval': {'type': 'Z'}}) r(b'NSCell', b'allowsMixedState', {'retval': {'type': 'Z'}}) r(b'NSCell', b'allowsUndo', {'retval': {'type': 'Z'}}) r(b'NSCell', b'calcDrawInfo:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'cellSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSCell', b'cellSizeForBounds:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'continueTracking:at:inView:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSCell', b'drawInteriorWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'drawWithExpansionFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'drawWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'drawingRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'editWithFrame:inView:editor:delegate:event:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'expansionFrameWithFrame:inView:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'getPeriodicDelay:interval:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSCell', b'hasValidObjectValue', {'retval': {'type': 'Z'}}) r(b'NSCell', b'highlight:withFrame:inView:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'highlightColorWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'hitTestForEvent:inRect:ofView:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'imageRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'importsGraphics', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isBezeled', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isBordered', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isContinuous', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isEntryAcceptable:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': '@'}}}) r(b'NSCell', b'isHighlighted', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isOpaque', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isScrollable', {'retval': {'type': 'Z'}}) r(b'NSCell', b'isSelectable', {'retval': {'type': 'Z'}}) r(b'NSCell', b'menuForEvent:inRect:ofView:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'prefersTrackingUntilMouseUp', {'retval': {'type': 'Z'}}) r(b'NSCell', b'refusesFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSCell', b'resetCursorRect:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'selectWithFrame:inView:editor:delegate:start:length:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'sendsActionOnEndEditing', {'retval': {'type': 'Z'}}) r(b'NSCell', b'setAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSCell', b'setAllowsEditingTextAttributes:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setAllowsMixedState:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setAllowsUndo:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setAttributedStringValue:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': '@'}}}) r(b'NSCell', b'setBezeled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setContinuous:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setFloatingPointFormat:left:right:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setHighlighted:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setImportsGraphics:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setRefusesFirstResponder:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setScrollable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setSelectable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setSendsActionOnEndEditing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setShowsFirstResponder:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setTruncatesLastVisibleLine:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setUsesSingleLineMode:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'setWraps:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCell', b'showsFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSCell', b'startTrackingAt:inView:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSCell', b'stopTracking:at:inView:mouseIsUp:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': 'Z'}}}) r(b'NSCell', b'titleRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSCell', b'trackMouse:inRect:ofView:untilMouseUp:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': 'Z'}}}) r(b'NSCell', b'truncatesLastVisibleLine', {'retval': {'type': 'Z'}}) r(b'NSCell', b'usesSingleLineMode', {'retval': {'type': 'Z'}}) r(b'NSCell', b'wantsNotificationForMarkedText', {'retval': {'type': 'Z'}}) r(b'NSCell', b'wraps', {'retval': {'type': 'Z'}}) r(b'NSClipView', b'automaticallyAdjustsContentInsets', {'retval': {'type': b'Z'}}) r(b'NSClipView', b'autoscroll:', {'retval': {'type': 'Z'}}) r(b'NSClipView', b'copiesOnScroll', {'retval': {'type': 'Z'}}) r(b'NSClipView', b'documentRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSClipView', b'documentVisibleRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSClipView', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSClipView', b'onstrainScrollPoint:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSClipView', b'scrollToPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSClipView', b'setAutomaticallyAdjustsContentInsets:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSClipView', b'setCopiesOnScroll:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSClipView', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionView', b'allowsEmptySelection', {'retval': {'type': 'Z'}}) r(b'NSCollectionView', b'allowsMultipleSelection', {'retval': {'type': 'Z'}}) r(b'NSCollectionView', b'backgroundViewScrollsWithContent', {'retval': {'type': 'Z'}}) r(b'NSCollectionView', b'draggingImageForItemsAtIndexPaths:withEvent:offset:', {'arguments': {4: {'type_modifier': b'N'}}}) r(b'NSCollectionView', b'draggingImageForItemsAtIndexes:withEvent:offset:', {'arguments': {4: {'type_modifier': b'N'}}}) r(b'NSCollectionView', b'frameForItemAtIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSCollectionView', b'isFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSCollectionView', b'isSelectable', {'retval': {'type': 'Z'}}) r(b'NSCollectionView', b'maxItemSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSCollectionView', b'minItemSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSCollectionView', b'performBatchUpdates:completionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}, 3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'Z'}}}}}}) r(b'NSCollectionView', b'setAllowsEmptySelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionView', b'setAllowsMultipleSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionView', b'setBackgroundViewScrollsWithContent:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionView', b'setDraggingSourceOperationMask:forLocal:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSCollectionView', b'setMaxItemSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSCollectionView', b'setMinItemSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSCollectionView', b'setSelectable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewFlowLayout', b'invalidateFlowLayoutDelegateMetrics', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayout', b'sectionAtIndexIsCollapsed:', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayout', b'sectionFootersPinToVisibleBounds', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayout', b'sectionHeadersPinToVisibleBounds', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayout', b'setSectionFootersPinToVisibleBounds:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewFlowLayout', b'setSectionHeadersPinToVisibleBounds:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewFlowLayout', b'shouldInvalidateLayoutForBoundsChange:', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayoutInvalidationContext', b'invalidateFlowLayoutAttributes', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayoutInvalidationContext', b'invalidateFlowLayoutDelegateMetrics', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewFlowLayoutInvalidationContext', b'setInvalidateFlowLayoutAttributes:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewFlowLayoutInvalidationContext', b'setInvalidateFlowLayoutDelegateMetrics:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewItem', b'isSelected', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewItem', b'setSelected:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewLayout', b'shouldInvalidateLayoutForBoundsChange:', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewLayout', b'shouldInvalidateLayoutForPreferredLayoutAttributes:withOriginalAttributes:', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewLayoutAttributes', b'isHidden', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewLayoutAttributes', b'setHidden:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCollectionViewLayoutInvalidationContext', b'invalidateDataSourceCounts', {'retval': {'type': 'Z'}}) r(b'NSCollectionViewLayoutInvalidationContext', b'invalidateEverything', {'retval': {'type': 'Z'}}) r(b'NSColor', b'colorWithColorSpace:components:count:', {'arguments': {3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSColor', b'drawSwatchInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSColor', b'getComponents:', {'arguments': {2: {'type': sel32or64(b'^f', b'^d'), 'type_modifier': b'o', 'c_array_of_variable_length': True}}}) r(b'NSColor', b'getCyan:magenta:yellow:black:alpha:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}, 4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}, 6: {'type_modifier': b'o'}}}) r(b'NSColor', b'getHue:saturation:brightness:alpha:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}, 4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSColor', b'getRed:green:blue:alpha:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}, 4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSColor', b'getWhite:alpha:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSColor', b'ignoresAlpha', {'retval': {'type': 'Z'}}) r(b'NSColor', b'setIgnoresAlpha:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSColorList', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSColorList', b'writeToFile:', {'retval': {'type': 'Z'}}) r(b'NSColorList', b'writeToURL:error:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSColorPanel', b'dragColor:withEvent:fromView:', {'retval': {'type': 'Z'}}) r(b'NSColorPanel', b'isContinuous', {'retval': {'type': 'Z'}}) r(b'NSColorPanel', b'setAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSColorPanel', b'setContinuous:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSColorPanel', b'setShowsAlpha:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSColorPanel', b'sharedColorPanelExists', {'retval': {'type': 'Z'}}) r(b'NSColorPanel', b'showsAlpha', {'retval': {'type': 'Z'}}) r(b'NSColorPicker', b'minContentSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSColorPickerTouchBarItem', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSColorPickerTouchBarItem', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSColorPickerTouchBarItem', b'setShowsAlpha:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSColorPickerTouchBarItem', b'showsAlpha', {'retval': {'type': 'Z'}}) r(b'NSColorSpace', b'CGColorSpace', {'retval': {'type': '^{CGColorSpace=}'}}) r(b'NSColorSpace', b'colorSyncProfile', {'retval': {'type': '^{OpaqueCMProfileRef=}'}}) r(b'NSColorSpace', b'initWithCGColorSpace:', {'arguments': {2: {'type': '^{CGColorSpace=}'}}}) r(b'NSColorSpace', b'initWithColorSyncProfile:', {'arguments': {2: {'type': '^{OpaqueCMProfileRef=}'}}}) r(b'NSColorWell', b'activate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSColorWell', b'drawWellInside:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSColorWell', b'isActive', {'retval': {'type': 'Z'}}) r(b'NSColorWell', b'isBordered', {'retval': {'type': 'Z'}}) r(b'NSColorWell', b'setBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBox', b'completes', {'retval': {'type': 'Z'}}) r(b'NSComboBox', b'hasVerticalScroller', {'retval': {'type': 'Z'}}) r(b'NSComboBox', b'intercellSpacing', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSComboBox', b'isButtonBordered', {'retval': {'type': 'Z'}}) r(b'NSComboBox', b'setButtonBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBox', b'setCompletes:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBox', b'setHasVerticalScroller:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBox', b'setIntercellSpacing:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSComboBox', b'setUsesDataSource:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBox', b'usesDataSource', {'retval': {'type': 'Z'}}) r(b'NSComboBoxCell', b'completes', {'retval': {'type': 'Z'}}) r(b'NSComboBoxCell', b'hasVerticalScroller', {'retval': {'type': 'Z'}}) r(b'NSComboBoxCell', b'intercellSpacing', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSComboBoxCell', b'isButtonBordered', {'retval': {'type': 'Z'}}) r(b'NSComboBoxCell', b'setButtonBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBoxCell', b'setCompletes:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBoxCell', b'setHasVerticalScroller:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBoxCell', b'setIntercellSpacing:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSComboBoxCell', b'setUsesDataSource:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSComboBoxCell', b'usesDataSource', {'retval': {'type': 'Z'}}) r(b'NSControl', b'abortEditing', {'retval': {'type': 'Z'}}) r(b'NSControl', b'action', {'retval': {'type': ':', 'sel_of_type': b'v@:@'}}) r(b'NSControl', b'allowsExpansionToolTips', {'retval': {'type': b'Z'}}) r(b'NSControl', b'ignoresMultiClick', {'retval': {'type': 'Z'}}) r(b'NSControl', b'initWithFrame:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSControl', b'isContinuous', {'retval': {'type': 'Z'}}) r(b'NSControl', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSControl', b'isHighlighted', {'retval': {'type': b'Z'}}) r(b'NSControl', b'refusesFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSControl', b'sendAction:to:', {'retval': {'type': 'Z'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSControl', b'setAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSControl', b'setAllowsExpansionToolTips:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSControl', b'setContinuous:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSControl', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSControl', b'setFloatingPointFormat:left:right:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSControl', b'setHighlighted:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSControl', b'setIgnoresMultiClick:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSControl', b'setRefusesFirstResponder:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSControl', b'setUsesSingleLineMode:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSControl', b'usesSingleLineMode', {'retval': {'type': b'Z'}}) r(b'NSController', b'commitEditing', {'retval': {'type': 'Z'}}) r(b'NSController', b'commitEditingWithDelegate:didCommitSelector:contextInfo:', {'arguments': {3: {'type': ':', 'sel_of_type': b'v@:@Z^v'}, 4: {'type': '^v'}}}) r(b'NSController', b'isEditing', {'retval': {'type': 'Z'}}) r(b'NSCursor', b'hotSpot', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSCursor', b'initWithImage:foregroundColorHint:backgroundColorHint:hotSpot:', {'arguments': {5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSCursor', b'initWithImage:hotSpot:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSCursor', b'isSetOnMouseEntered', {'retval': {'type': 'Z'}}) r(b'NSCursor', b'isSetOnMouseExited', {'retval': {'type': 'Z'}}) r(b'NSCursor', b'setHiddenUntilMouseMoves:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCursor', b'setOnMouseEntered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCursor', b'setOnMouseExited:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSCustomImageRep', b'drawingHandler', {'retval': {'callable': {'retval': {'type': b'Z'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}}}) r(b'NSCustomImageRep', b'initWithDrawSelector:delegate:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSCustomImageRep', b'initWithSize:flipped:drawingHandler:', {'arguments': {3: {'type': b'Z'}, 4: {'callable': {'retval': {'type': b'Z'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}}}}) r(b'NSDatePicker', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSDatePicker', b'isBezeled', {'retval': {'type': 'Z'}}) r(b'NSDatePicker', b'isBordered', {'retval': {'type': 'Z'}}) r(b'NSDatePicker', b'setBezeled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDatePicker', b'setBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDatePicker', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDatePickerCell', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSDatePickerCell', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDockTile', b'performActivityWithSynchronousWaiting:usingBlock:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDockTile', b'setShowsApplicationBadge:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDockTile', b'showsApplicationBadge', {'retval': {'type': 'Z'}}) r(b'NSDockTile', b'size', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSDocument', b'allowsDocumentSharing', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'autosaveDocumentWithDelegate:didAutosaveSelector:contextInfo:', {'arguments': {3: {'sel_of_type': b'v@:@Z^v'}, 4: {'type': '^v'}}}) r(b'NSDocument', b'autosaveWithImplicitCancellability:completionHandler:', {'arguments': {2: {'type': b'Z'}, 3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSDocument', b'autosavesDrafts', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'autosavesInPlace', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'autosavingIsImplicitlyCancellable', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'canAsynchronouslyWriteToURL:ofType:forSaveOperation:', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'canCloseDocumentWithDelegate:shouldCloseSelector:contextInfo:', {'arguments': {3: {'sel_of_type': b'v@:@Z^v'}, 4: {'type': '^v'}}}) r(b'NSDocument', b'canConcurrentlyReadDocumentsOfType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'checkAutosavingSafetyAndReturnError:', {'retval': {'type': b'Z'}, 'arguments': {2: {'type_modifier': b'o'}}}) r(b'NSDocument', b'continueActivityUsingBlock:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDocument', b'continueAsynchronousWorkOnMainThreadUsingBlock:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDocument', b'dataOfType:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSDocument', b'duplicateAndReturnError:', {'arguments': {2: {'type_modifier': b'o'}}}) r(b'NSDocument', b'duplicateDocumentWithDelegate:didDuplicateSelector:contextInfo:', {'arguments': {3: {'sel_of_type': b'v@Z^v'}, 4: {'type': '^v'}}}) r(b'NSDocument', b'fileAttributesToWriteToURL:ofType:forSaveOperation:originalContentsURL:error:', {'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSDocument', b'fileNameExtensionWasHiddenInLastRunSavePanel', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'fileWrapperOfType:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSDocument', b'hasUnautosavedChanges', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'hasUndoManager', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'initForURL:withContentsOfURL:ofType:error:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSDocument', b'initWithContentsOfURL:ofType:error:', {'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocument', b'initWithType:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSDocument', b'isBrowsingVersions', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'isDocumentEdited', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'isDraft', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'isEntireFileLoaded', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'isInViewingMode', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'isLocked', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'isNativeType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'keepBackupFile', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'loadDataRepresentation:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'loadFileWrapperRepresentation:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'lockDocumentWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'Z'}}}}}}) r(b'NSDocument', b'lockWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSDocument', b'moveDocumentWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'Z'}}}}}}) r(b'NSDocument', b'moveToURL:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'Z'}}}}}}) r(b'NSDocument', b'performActivityWithSynchronousWaiting:usingBlock:', {'arguments': {2: {'type': b'Z'}, 3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDocument', b'performAsynchronousFileAccessUsingBlock:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'callable': {'retval': {'type': 'v'}, 'arguments': {0: {'type': '^v'}}}, 'type': b'@?'}}}}}}) r(b'NSDocument', b'performSynchronousFileAccessUsingBlock:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDocument', b'preparePageLayout:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'prepareSavePanel:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'presentError:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'presentError:modalForWindow:delegate:didPresentSelector:contextInfo:', {'arguments': {5: {'sel_of_type': b'v@:Z^v'}, 6: {'type': '^v'}}}) r(b'NSDocument', b'preservesVersions', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'printDocumentWithSettings:showPrintPanel:delegate:didPrintSelector:contextInfo:', {'arguments': {3: {'type': 'Z'}, 5: {'sel_of_type': b'v@:@Z^v'}, 6: {'type': '^v'}}}) r(b'NSDocument', b'printOperationWithSettings:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSDocument', b'printShowingPrintPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDocument', b'readFromData:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocument', b'readFromFile:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'readFromFileWrapper:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocument', b'readFromURL:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'readFromURL:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocument', b'restoreDocumentWindowWithIdentifier:state:completionHandler:', {'arguments': {4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}}}}) r(b'NSDocument', b'revertToContentsOfURL:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocument', b'revertToSavedFromFile:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'revertToSavedFromURL:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'runModalPageLayoutWithPrintInfo:delegate:didRunSelector:contextInfo:', {'arguments': {4: {'sel_of_type': b'v@:@Z^v'}, 5: {'type': '^v'}}}) r(b'NSDocument', b'runModalPrintOperation:delegate:didRunSelector:contextInfo:', {'arguments': {4: {'sel_of_type': b'v@:@Z^v'}, 5: {'type': '^v'}}}) r(b'NSDocument', b'runModalSavePanelForSaveOperation:delegate:didSaveSelector:contextInfo:', {'arguments': {4: {'sel_of_type': b'v@:@Z^v'}, 5: {'type': '^v'}}}) r(b'NSDocument', b'saveDocumentWithDelegate:didSaveSelector:contextInfo:', {'arguments': {3: {'sel_of_type': b'v@:@Z^v'}, 4: {'type': '^v'}}}) r(b'NSDocument', b'saveToFile:saveOperation:delegate:didSaveSelector:contextInfo:', {'arguments': {5: {'sel_of_type': b'v@:@Z^v'}, 6: {'type': '^v'}}}) r(b'NSDocument', b'saveToURL:ofType:forSaveOperation:completionHandler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSDocument', b'saveToURL:ofType:forSaveOperation:delegate:didSaveSelector:contextInfo:', {'arguments': {6: {'sel_of_type': b'v@:@Z^v'}, 7: {'type': '^v'}}}) r(b'NSDocument', b'saveToURL:ofType:forSaveOperation:error:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSDocument', b'setDraft:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSDocument', b'setHasUndoManager:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDocument', b'shareDocumentWithSharingService:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'Z'}}}}}}) r(b'NSDocument', b'shouldChangePrintInfo:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'shouldCloseWindowController:delegate:shouldCloseSelector:contextInfo:', {'arguments': {4: {'sel_of_type': b'v@:@Z^v'}, 5: {'type': '^v'}}}) r(b'NSDocument', b'shouldRunSavePanelWithAccessoryView', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'stopBrowsingVersionsWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDocument', b'unlockDocumentWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'Z'}}}}}}) r(b'NSDocument', b'unlockWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSDocument', b'usesUbiquitousStorage', {'retval': {'type': b'Z'}}) r(b'NSDocument', b'validateUserInterfaceItem:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'writeSafelyToURL:ofType:forSaveOperation:error:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSDocument', b'writeToFile:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'writeToFile:ofType:originalFile:saveOperation:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'writeToURL:ofType:', {'retval': {'type': 'Z'}}) r(b'NSDocument', b'writeToURL:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocument', b'writeToURL:ofType:forSaveOperation:originalContentsURL:error:', {'retval': {'type': 'Z'}, 'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSDocument', b'writeWithBackupToFile:ofType:saveOperation:', {'retval': {'type': 'Z'}}) r(b'NSDocumentController', b'allowsAutomaticShareMenu', {'retval': {'type': 'Z'}}) r(b'NSDocumentController', b'beginOpenPanel:forTypes:completionHandler:', {'arguments': {4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSDocumentController', b'beginOpenPanelWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSDocumentController', b'closeAllDocumentsWithDelegate:didCloseAllSelector:contextInfo:', {'arguments': {3: {'sel_of_type': b'v@:@Z^v'}, 4: {'type': '^v'}}}) r(b'NSDocumentController', b'duplicateDocumentWithContentsOfURL:copying:displayName:error:', {'arguments': {3: {'type': b'Z'}, 5: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'hasEditedDocuments', {'retval': {'type': 'Z'}}) r(b'NSDocumentController', b'makeDocumentForURL:withContentsOfURL:ofType:error:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'makeDocumentWithContentsOfURL:ofType:error:', {'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'makeUntitledDocumentOfType:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'openDocumentWithContentsOfFile:display:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSDocumentController', b'openDocumentWithContentsOfURL:display:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSDocumentController', b'openDocumentWithContentsOfURL:display:completionHandler:', {'arguments': {3: {'type': b'Z'}, 4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSDocumentController', b'openDocumentWithContentsOfURL:display:error:', {'arguments': {3: {'type': 'Z'}, 4: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'openUntitledDocumentAndDisplay:error:', {'arguments': {2: {'type': 'Z'}, 3: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'openUntitledDocumentOfType:display:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSDocumentController', b'presentError:', {'retval': {'type': 'Z'}}) r(b'NSDocumentController', b'presentError:modalForWindow:delegate:didPresentSelector:contextInfo:', {'arguments': {5: {'sel_of_type': b'v@:Z^v'}, 6: {'type': '^v'}}}) r(b'NSDocumentController', b'reopenDocumentForURL:withContentsOfURL:display:completionHandler:', {'arguments': {4: {'type': b'Z'}, 5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'Z'}, 3: {'type': b'@'}}}}}}) r(b'NSDocumentController', b'reopenDocumentForURL:withContentsOfURL:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'reviewUnsavedDocumentsWithAlertTitle:cancellable:delegate:didReviewAllSelector:contextInfo:', {'arguments': {3: {'type': 'Z'}, 5: {'sel_of_type': b'v@:@Z^v'}, 6: {'type': '^v'}}}) r(b'NSDocumentController', b'setAllowsAutomaticShareMenu:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDocumentController', b'setShouldCreateUI:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSDocumentController', b'shouldCreateUI', {'retval': {'type': 'Z'}}) r(b'NSDocumentController', b'typeForContentsOfURL:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSDocumentController', b'validateUserInterfaceItem:', {'retval': {'type': 'Z'}}) r(b'NSDraggingItem', b'imageComponentsProvider', {'retval': {'callable': {'retval': {'type': b'@'}, 'arguments': {0: {'type': b'^v'}}}}}) r(b'NSDraggingItem', b'setImageComponentsProvider:', {'arguments': {2: {'callable': {'retval': {'type': b'@'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSDraggingSession', b'animatesToStartingPositionsOnCancelOrFail', {'retval': {'type': b'Z'}}) r(b'NSDraggingSession', b'enumerateDraggingItemsWithOptions:forView:classes:searchOptions:usingBlock:', {'arguments': {6: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': sel32or64(b'i', b'q')}, 3: {'type': b'o^Z'}}}}}}) r(b'NSDraggingSession', b'setAnimatesToStartingPositionsOnCancelOrFail:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSDrawer', b'contentSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSDrawer', b'initWithContentSize:preferredEdge:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSDrawer', b'maxContentSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSDrawer', b'minContentSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSDrawer', b'setContentSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSDrawer', b'setMaxContentSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSDrawer', b'setMinContentSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSEPSImageRep', b'boundingBox', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSEvent', b'CGEvent', {'retval': {'type': '^{__CGEvent=}'}}) r(b'NSEvent', b'addGlobalMonitorForEventsMatchingMask:handler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSEvent', b'addLocalMonitorForEventsMatchingMask:handler:', {'arguments': {3: {'callable': {'retval': {'type': b'@'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSEvent', b'enterExitEventWithType:location:modifierFlags:timestamp:windowNumber:context:eventNumber:trackingNumber:userData:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 10: {'type': '^v'}}}) r(b'NSEvent', b'eventRef', {'retval': {'type': 'r^{OpaqueEventRef=}'}}) r(b'NSEvent', b'eventWithCGEvent:', {'arguments': {2: {'type': '^{__CGEvent=}'}}}) r(b'NSEvent', b'eventWithEventRef:', {'arguments': {2: {'type': '^{OpaqueEventRef=}'}}}) r(b'NSEvent', b'hasPreciseScrollingDeltas', {'retval': {'type': b'Z'}}) r(b'NSEvent', b'isARepeat', {'retval': {'type': 'Z'}}) r(b'NSEvent', b'isDirectionInvertedFromDevice', {'retval': {'type': b'Z'}}) r(b'NSEvent', b'isEnteringProximity', {'retval': {'type': 'Z'}}) r(b'NSEvent', b'isMouseCoalescingEnabled', {'retval': {'type': 'Z'}}) r(b'NSEvent', b'isSwipeTrackingFromScrollEventsEnabled', {'retval': {'type': b'Z'}}) r(b'NSEvent', b'keyEventWithType:location:modifierFlags:timestamp:windowNumber:context:characters:charactersIgnoringModifiers:isARepeat:keyCode:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 10: {'type': 'Z'}}}) r(b'NSEvent', b'locationInWindow', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSEvent', b'mouseEventWithType:location:modifierFlags:timestamp:windowNumber:context:eventNumber:clickCount:pressure:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSEvent', b'mouseLocation', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSEvent', b'otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSEvent', b'setMouseCoalescingEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSEvent', b'tilt', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSEvent', b'trackSwipeEventWithOptions:dampenAmountThresholdMin:max:usingHandler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'f', b'd')}, 2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': b'Z'}, 4: {'type': b'o^Z'}}}}}}) r(b'NSEvent', b'userData', {'retval': {'type': '^v'}}) r(b'NSFilePromiseReceiver', b'receivePromisedFilesAtDestination:options:operationQueue:reader:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}}}}) r(b'NSFileWrapper', b'initWithURL:options:error:', {'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSFileWrapper', b'isDirectory', {'retval': {'type': 'Z'}}) r(b'NSFileWrapper', b'isRegularFile', {'retval': {'type': 'Z'}}) r(b'NSFileWrapper', b'isSymbolicLink', {'retval': {'type': 'Z'}}) r(b'NSFileWrapper', b'matchesContentsOfURL:', {'retval': {'type': 'Z'}}) r(b'NSFileWrapper', b'needsToBeUpdatedFromPath:', {'retval': {'type': 'Z'}}) r(b'NSFileWrapper', b'readFromURL:options:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSFileWrapper', b'updateFromPath:', {'retval': {'type': 'Z'}}) r(b'NSFileWrapper', b'writeToFile:atomically:updateFilenames:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': 'Z'}, 4: {'type': 'Z'}}}) r(b'NSFileWrapper', b'writeToURL:options:originalContentsURL:error:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSFont', b'advancementForGlyph:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSFont', b'boundingRectForFont', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSFont', b'boundingRectForGlyph:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSFont', b'fontWithName:matrix:', {'arguments': {3: {'c_array_of_fixed_length': 6, 'type_modifier': b'n'}}}) r(b'NSFont', b'getAdvancements:forCGGlyphs:count:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 4}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSFont', b'getAdvancements:forGlyphs:count:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 4}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSFont', b'getAdvancements:forPackedGlyphs:length:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 4}, 3: {'c_array_delimited_by_null': True, 'type': '^t', 'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSFont', b'getBoundingRects:forCGGlyphs:count:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 4}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSFont', b'getBoundingRects:forGlyphs:count:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 4}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSFont', b'glyphIsEncoded:', {'retval': {'type': 'Z'}}) r(b'NSFont', b'isBaseFont', {'retval': {'type': 'Z'}}) r(b'NSFont', b'isFixedPitch', {'retval': {'type': 'Z'}}) r(b'NSFont', b'isVertical', {'retval': {'type': b'Z'}}) 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b'generateGlyphsForGlyphStorage:desiredNumberOfCharacters:glyphIndex:characterIndex:', {'arguments': {4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSGradient', b'drawFromCenter:radius:toCenter:radius:options:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSGradient', b'drawFromPoint:toPoint:options:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSGradient', b'drawInBezierPath:relativeCenterPosition:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSGradient', b'drawInRect:angle:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSGradient', b'drawInRect:relativeCenterPosition:', {'arguments': {2: {'type': 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b'prefersEqualWidths', {'retval': {'type': 'Z'}}) r(b'NSGroupTouchBarItem', b'setPrefersEqualWidths:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSHelpManager', b'isContextHelpModeActive', {'retval': {'type': 'Z'}}) r(b'NSHelpManager', b'registerBooksInBundle:', {'retval': {'type': b'Z'}}) r(b'NSHelpManager', b'setContextHelpModeActive:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSHelpManager', b'showContextHelpForObject:locationHint:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSImage', b'CGImageForProposedRect:context:hints:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'o'}}}) r(b'NSImage', b'alignmentRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSImage', b'bestRepresentationForRect:context:hints:', {'arguments': {2: {'type': 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b'dissolveToPoint:fraction:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSImage', b'dissolveToPoint:fromRect:fraction:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImage', b'drawAtPoint:fromRect:operation:fraction:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImage', b'drawInRect:fromRect:operation:fraction:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImage', b'drawInRect:fromRect:operation:fraction:respectFlipped:hints:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': 'Z'}}}) r(b'NSImage', b'drawRepresentation:inRect:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImage', b'hitTestRect:withImageDestinationRect:context:hints:flipped:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': 'Z'}}}) r(b'NSImage', b'hitTestRect:withImageDestinationRect:context_hints:flipped:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImage', b'imageWithSize:flipped:drawingHandler:', {'arguments': {3: {'type': b'Z'}, 4: {'callable': {'retval': {'type': b'Z'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}}}}) r(b'NSImage', b'initWithCGImage:size:', {'arguments': {3: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSImage', b'initWithIconRef:', {'arguments': {2: {'type': '^{OpaqueIconRef=}'}}}) r(b'NSImage', b'initWithSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSImage', b'isCachedSeparately', {'retval': {'type': 'Z'}}) r(b'NSImage', b'isDataRetained', {'retval': {'type': 'Z'}}) r(b'NSImage', b'isFlipped', {'retval': {'type': 'Z'}}) r(b'NSImage', b'isTemplate', {'retval': {'type': 'Z'}}) r(b'NSImage', b'isValid', {'retval': {'type': 'Z'}}) r(b'NSImage', b'lockFocusFlipped:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'matchesOnMultipleResolution', {'retval': {'type': 'Z'}}) r(b'NSImage', b'matchesOnlyOnBestFittingAxis', {'retval': {'type': b'Z'}}) r(b'NSImage', b'prefersColorMatch', {'retval': {'type': 'Z'}}) r(b'NSImage', b'scalesWhenResized', {'retval': {'type': 'Z'}}) r(b'NSImage', b'setAlignmentRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImage', b'setCacheDepthMatchesImageDepth:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setCachedSeparately:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setDataRetained:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setFlipped:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setMatchesOnMultipleResolution:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setMatchesOnlyOnBestFittingAxis:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSImage', b'setName:', {'retval': {'type': 'Z'}}) r(b'NSImage', b'setPrefersColorMatch:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setScalesWhenResized:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSImage', b'setTemplate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'setUsesEPSOnResolutionMismatch:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImage', b'size', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSImage', b'usesEPSOnResolutionMismatch', {'retval': {'type': 'Z'}}) r(b'NSImageRep', b'CGImageForProposedRect:context:hints:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}}}) r(b'NSImageRep', b'canInitWithData:', {'retval': {'type': 'Z'}}) r(b'NSImageRep', b'canInitWithPasteboard:', {'retval': {'type': 'Z'}}) r(b'NSImageRep', b'draw', {'retval': {'type': 'Z'}}) r(b'NSImageRep', b'drawAtPoint:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSImageRep', b'drawInRect:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSImageRep', b'drawInRect:fromRect:operation:fraction:respectFlipped:hints:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': 'Z'}}}) r(b'NSImageRep', b'hasAlpha', {'retval': {'type': 'Z'}}) r(b'NSImageRep', b'isOpaque', {'retval': {'type': 'Z'}}) r(b'NSImageRep', b'setAlpha:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImageRep', b'setOpaque:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImageRep', b'setSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSImageRep', b'size', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSImageView', b'allowsCutCopyPaste', {'retval': {'type': 'Z'}}) r(b'NSImageView', b'animates', {'retval': {'type': 'Z'}}) r(b'NSImageView', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSImageView', b'setAllowsCutCopyPaste:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImageView', b'setAnimates:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSImageView', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSInputManager', b'handleMouseEvent:', {'retval': {'type': 'Z'}}) r(b'NSInputManager', b'markedTextSelectionChanged:client:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSInputManager', b'wantsToDelayTextChangeNotifications', {'retval': {'type': 'Z'}}) r(b'NSInputManager', b'wantsToHandleMouseEvents', {'retval': {'type': 'Z'}}) r(b'NSInputManager', b'wantsToInterpretAllKeystrokes', {'retval': {'type': 'Z'}}) r(b'NSItemProvider', b'loadItemForTypeIdentifier:options:completionHandler:', {'arguments': {4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}}}}) r(b'NSItemProvider', b'loadObjectOfClass:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}}}}) r(b'NSItemProvider', b'registerItemForTypeIdentifier:loadHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'callable': {'args': {0: {'type': '^@'}, 1: {'type': '@'}, 2: {'type': '@'}}, 'retval': {'type': 'v'}}, 'type': b'@?'}, 2: {'type': b'#'}, 3: {'type': b'@'}}}}}}) r(b'NSLayoutConstraint', b'isActive', {'retval': {'type': b'Z'}}) r(b'NSLayoutConstraint', b'setActive:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSLayoutConstraint', b'setShouldBeArchived:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSLayoutConstraint', b'shouldBeArchived', {'retval': {'type': b'Z'}}) r(b'NSLayoutGuide', b'hasAmbiguousLayout', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'CGGlyphAtIndex:isValidIndex:', {'arguments': {3: {'type': '^Z', 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'addTemporaryAttribute:value:forCharacterRange:', {'arguments': {4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'addTemporaryAttributes:forCharacterRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'allowsNonContiguousLayout', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'attachmentSizeForGlyphAtIndex:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSLayoutManager', b'backgroundLayoutEnabled', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'boundingRectForGlyphRange:inTextContainer:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'boundsRectForTextBlock:atIndex:effectiveRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'boundsRectForTextBlock:glyphRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'characterIndexForPoint:inTextContainer:fractionOfDistanceBetweenInsertionPoints:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'characterRangeForGlyphRange:actualGlyphRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'deleteGlyphsInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'drawBackgroundForGlyphRange:atPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'drawGlyphsForGlyphRange:atPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'drawStrikethroughForGlyphRange:strikethroughType:baselineOffset:lineFragmentRect:lineFragmentGlyphRange:containerOrigin:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 7: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'drawUnderlineForGlyphRange:underlineType:baselineOffset:lineFragmentRect:lineFragmentGlyphRange:containerOrigin:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 7: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'drawsOutsideLineFragmentForGlyphAtIndex:', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'ensureGlyphsForCharacterRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'ensureGlyphsForGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'ensureLayoutForBoundingRect:inTextContainer:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSLayoutManager', b'ensureLayoutForCharacterRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'ensureLayoutForGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'enumerateEnclosingRectsForGlyphRange:withinSelectedGlyphRange:inTextContainer:usingBlock:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 2: {'type': b'o^Z'}}}}}}) r(b'NSLayoutManager', b'enumerateLineFragmentsForGlyphRange:usingBlock:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': b'o^Z'}}}}}}) r(b'NSLayoutManager', b'extraLineFragmentRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSLayoutManager', b'extraLineFragmentUsedRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSLayoutManager', b'fillBackgroundRectArray:count:forCharacterRange:color:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N', 'c_array_length_in_arg': 3}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'fractionOfDistanceThroughGlyphForPoint:inTextContainer:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'getFirstUnlaidCharacterIndex:glyphIndex:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'getGlyphs:range:', {'arguments': {2: {'type_modifier': b'o', 'c_array_length_in_arg': 3}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'getGlyphsInRange:glyphs:characterIndexes:glyphInscriptions:elasticBits:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 4: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 5: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 6: {'type': '^Z', 'type_modifier': b'o', 'c_array_length_in_arg': 2}}}) r(b'NSLayoutManager', b'getGlyphsInRange:glyphs:characterIndexes:glyphInscriptions:elasticBits:bidiLevels:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 4: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 5: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 6: {'type': '^Z', 'type_modifier': b'o', 'c_array_length_in_arg': 2}, 7: {'type': '^C', 'type_modifier': b'o', 'c_array_length_in_arg': 2}}}) r(b'NSLayoutManager', b'getGlyphsInRange:glyphs:properties:characterIndexes:bidiLevels:', {'arguments': {3: {'type': '^I', 'type_modifier': b'o', 'c_array_length_in_arg': 2}, 4: {'type': '^I', 'type_modifier': b'o', 'c_array_length_in_arg': 2}, 5: {'type': '^I', 'type_modifier': b'o', 'c_array_length_in_arg': 2}, 6: {'type': '^I', 'type_modifier': b'o', 'c_array_length_in_arg': 2}}}) r(b'NSLayoutManager', b'getLineFragmentInsertionPointsForCharacterAtIndex:alternatePositions:inDisplayOrder:positions:characterIndexes:', {'arguments': {3: {'type': 'Z'}, 4: {'type': 'Z'}, 5: {'type': sel32or64(b'r^f', b'r^d'), 'type_modifier': b'o'}, 6: {'type': sel32or64(b'^I', b'^Q'), 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'glyphAtIndex:isValidIndex:', {'arguments': {3: {'type': '^Z', 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'glyphIndexForPoint:inTextContainer:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'glyphIndexForPoint:inTextContainer:fractionOfDistanceThroughGlyph:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'null_accepted': False, 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'glyphRangeForBoundingRect:inTextContainer:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSLayoutManager', b'glyphRangeForBoundingRectWithoutAdditionalLayout:inTextContainer:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSLayoutManager', b'glyphRangeForCharacterRange:actualCharacterRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'glyphRangeForTextContainer:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSLayoutManager', b'hasNonContiguousLayout', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'insertGlyphs:length:forStartingGlyphAtIndex:characterIndex:', {'arguments': {2: {'type': '^I', 'type_modifier': b'n', 'c_array_length_in_arg': 3}}}) r(b'NSLayoutManager', b'invalidateDisplayForCharacterRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'invalidateDisplayForGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'invalidateGlyphsForCharacterRange:changeInLength:actualCharacterRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'invalidateGlyphsOnLayoutInvalidationForGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'invalidateLayoutForCharacterRange:actualCharacterRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'invalidateLayoutForCharacterRange:isSoft:actualCharacterRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': 'Z'}, 4: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'isValidGlyphIndex:', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'layoutManagerOwnsFirstResponderInWindow:', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'layoutRectForTextBlock:atIndex:effectiveRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {4: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'layoutRectForTextBlock:glyphRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'lineFragmentRectForGlyphAtIndex:effectiveRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'lineFragmentRectForGlyphAtIndex:effectiveRange:withoutAdditionalLayout:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type_modifier': b'o'}, 4: {'type': 'Z'}}}) r(b'NSLayoutManager', b'lineFragmentUsedRectForGlyphAtIndex:effectiveRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'lineFragmentUsedRectForGlyphAtIndex:effectiveRange:withoutAdditionalLayout:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type_modifier': b'o'}, 4: {'type': 'Z'}}}) r(b'NSLayoutManager', b'locationForGlyphAtIndex:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSLayoutManager', b'notShownAttributeForGlyphAtIndex:', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'rangeOfNominallySpacedGlyphsContainingIndex:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSLayoutManager', b'rectArrayForCharacterRange:withinSelectedCharacterRange:inTextContainer:rectCount:', {'retval': {'c_array_length_in_arg': 5}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'rectArrayForGlyphRange:withinSelectedGlyphRange:inTextContainer:rectCount:', {'retval': {'c_array_length_in_arg': 5}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'removeTemporaryAttribute:forCharacterRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'rulerAccessoryViewForTextView:paragraphStyle:ruler:enabled:', {'arguments': {5: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setAllowsNonContiguousLayout:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setAttachmentSize:forGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setBackgroundLayoutEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setBoundsRect:forTextBlock:glyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setDrawsOutsideLineFragment:forGlyphAtIndex:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setExtraLineFragmentRect:usedRect:textContainer:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSLayoutManager', b'setGlyphs:properties:characterIndexes:font:forGlyphRange:', {'arguments': {2: {'type_modifier': b'n', 'c_array_length_in_arg': 6}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 6}, 4: {'type_modifier': b'n', 'c_array_length_in_arg': 6}}}) r(b'NSLayoutManager', b'setLayoutRect:forTextBlock:glyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setLineFragmentRect:forGlyphRange:usedRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSLayoutManager', b'setLocation:forStartOfGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setLocations:startingGlyphIndexes:count:forGlyphRange:', {'arguments': {2: {'type_modifier': b'n', 'c_array_length_in_arg': 4}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setNotShownAttribute:forGlyphAtIndex:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setShowsControlCharacters:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setShowsInvisibleCharacters:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setTemporaryAttributes:forCharacterRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setTextContainer:forGlyphRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'setUsesFontLeading:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'setUsesScreenFonts:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLayoutManager', b'showAttachmentCell:inRect:characterIndex:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSLayoutManager', b'showCGGlyphs:positions:count:font:matrix:attributes:inContext:', {'arguments': {2: {'type_modifier': b'n', 'c_array_length_in_arg': 4}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}}}) r(b'NSLayoutManager', b'showPackedGlyphs:length:glyphRange:atPoint:font:color:printingAdjustment:', {'arguments': {2: {'c_array_delimited_by_null': True, 'type': '^v', 'type_modifier': b'n', 'c_array_length_in_arg': 3}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 8: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSLayoutManager', b'showsControlCharacters', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'showsInvisibleCharacters', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'strikethroughGlyphRange:strikethroughType:lineFragmentRect:lineFragmentGlyphRange:containerOrigin:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 6: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'temporaryAttribute:atCharacterIndex:effectiveRange:', {'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'temporaryAttribute:atCharacterIndex:longestEffectiveRange:inRange:', {'arguments': {4: {'type_modifier': b'o'}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'temporaryAttributesAtCharacterIndex:effectiveRange:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'temporaryAttributesAtCharacterIndex:longestEffectiveRange:inRange:', {'arguments': {3: {'type_modifier': b'o'}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'textContainerForGlyphAtIndex:effectiveRange:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSLayoutManager', b'textContainerForGlyphAtIndex:effectiveRange:withoutAdditionalLayout:', {'arguments': {3: {'type_modifier': b'o'}, 4: {'type': 'Z'}}}) r(b'NSLayoutManager', b'textStorage:edited:range:changeInLength:invalidatedRange:', {'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 6: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSLayoutManager', b'underlineGlyphRange:underlineType:lineFragmentRect:lineFragmentGlyphRange:containerOrigin:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 6: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSLayoutManager', b'usedRectForTextContainer:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSLayoutManager', b'usesFontLeading', {'retval': {'type': 'Z'}}) r(b'NSLayoutManager', b'usesScreenFonts', {'retval': {'type': 'Z'}}) r(b'NSLevelIndicator', b'drawsTieredCapacityLevels', {'retval': {'type': 'Z'}}) r(b'NSLevelIndicator', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSLevelIndicator', b'rectOfTickMarkAtIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSLevelIndicator', b'setDrawsTieredCapacityLevels:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLevelIndicator', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSLevelIndicatorCell', b'rectOfTickMarkAtIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSMatrix', b'acceptsFirstMouse:', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'allowsEmptySelection', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'autorecalculatesCellSize', {'retval': {'type': b'Z'}}) r(b'NSMatrix', b'autosizesCells', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'cellFrameAtRow:column:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSMatrix', b'cellSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSMatrix', b'context:', {'arguments': {2: {'type': '^v'}}}) r(b'NSMatrix', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'drawsCellBackground', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'getNumberOfRows:columns:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSMatrix', b'getRow:column:forPoint:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSMatrix', b'getRow:column:ofCell:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}}}) r(b'NSMatrix', b'highlightCell:atRow:column:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'initWithFrame:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMatrix', b'initWithFrame:mode:cellClass:numberOfRows:numberOfColumns:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMatrix', b'initWithFrame:mode:prototype:numberOfRows:numberOfColumns:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMatrix', b'intercellSpacing', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSMatrix', b'isAutoscroll', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'isSelectionByRect', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'performKeyEquivalent:', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'selectCellWithTag:', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'sendAction', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'sendAction:to:forAllCells:', {'arguments': {2: {'sel_of_type': b'Z@:@'}, 4: {'type': 'Z'}}}) r(b'NSMatrix', b'setAllowsEmptySelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setAutorecalculatesCellSize:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSMatrix', b'setAutoscroll:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setAutosizesCells:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setCellSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSMatrix', b'setDoubleAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSMatrix', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setDrawsCellBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setIntercellSpacing:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSMatrix', b'setScrollable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setSelectionByRect:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setSelectionFrom:to:anchor:highlight:', {'arguments': {5: {'type': 'Z'}}}) r(b'NSMatrix', b'setTabKeyTraversesCells:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'setValidateSize:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMatrix', b'sortUsingFunction:context:', {'arguments': {2: {'callable': {'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {0: {'type': b'@'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}, 'callable_retained': False}, 3: {'type': '@'}}}) r(b'NSMatrix', b'sortUsingSelector:', {'arguments': {2: {'sel_of_type': sel32or64(b'i@:@', b'q@:@')}}}) r(b'NSMatrix', b'tabKeyTraversesCells', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'textShouldBeginEditing:', {'retval': {'type': 'Z'}}) r(b'NSMatrix', b'textShouldEndEditing:', {'retval': {'type': 'Z'}}) r(b'NSMediaLibraryBrowserController', b'isVisible', {'retval': {'type': b'Z'}}) r(b'NSMediaLibraryBrowserController', b'setVisible:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSMenu', b'addItemWithTitle:action:keyEquivalent:', {'arguments': {3: {'sel_of_type': b'v@:@'}}}) r(b'NSMenu', b'allowsContextMenuPlugIns', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'autoenablesItems', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'indexOfItemWithTarget:andAction:', {'arguments': {3: {'sel_of_type': b'v@:@'}}}) r(b'NSMenu', b'insertItemWithTitle:action:keyEquivalent:atIndex:', {'arguments': {3: {'sel_of_type': b'v@:@'}}}) r(b'NSMenu', b'isAttached', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'isTornOff', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'locationForSubmenu:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSMenu', b'menuBarVisible', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'menuChangedMessagesEnabled', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'menuZone', {'retval': {'type': '^{_NSZone=}'}}) r(b'NSMenu', b'performKeyEquivalent:', {'retval': {'type': 'Z'}}) r(b'NSMenu', b'popUpMenuPositioningItem:atLocation:inView:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSMenu', b'setAllowsContextMenuPlugIns:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenu', b'setAutoenablesItems:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenu', b'setMenuBarVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenu', b'setMenuChangedMessagesEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenu', b'setMenuZone:', {'arguments': {2: {'type': '^{_NSZone=}'}}}) r(b'NSMenu', b'setShowsStateColumn:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenu', b'showsStateColumn', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'allowsKeyEquivalentWhenHidden', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'hasSubmenu', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'initWithTitle:action:keyEquivalent:', {'arguments': {3: {'sel_of_type': b'v@:@'}}}) r(b'NSMenuItem', b'isAlternate', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'isHidden', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'isHiddenOrHasHiddenAncestor', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'isHighlighted', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'isSeparatorItem', {'retval': {'type': 'Z'}}) r(b'NSMenuItem', b'setAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSMenuItem', b'setAllowsKeyEquivalentWhenHidden:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItem', b'setAlternate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItem', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItem', b'setHidden:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItem', b'setUsesUserKeyEquivalents:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItem', b'usesUserKeyEquivalents', {'retval': {'type': 'Z'}}) r(b'NSMenuItemCell', b'drawBorderAndBackgroundWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'drawImageWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'drawKeyEquivalentWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'drawSeparatorItemWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'drawStateImageWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'drawTitleWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'keyEquivalentRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'keyEquivalentWidth', {'retval': {'type': sel32or64(b'f', b'd')}}) r(b'NSMenuItemCell', b'needsDisplay', {'retval': {'type': 'Z'}}) r(b'NSMenuItemCell', b'needsSizing', {'retval': {'type': 'Z'}}) r(b'NSMenuItemCell', b'setNeedsDisplay:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItemCell', b'setNeedsSizing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuItemCell', b'stateImageRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuItemCell', b'titleRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuView', b'indexOfItemAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSMenuView', b'initWithFrame:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuView', b'innerRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSMenuView', b'isAttached', {'retval': {'type': 'Z'}}) r(b'NSMenuView', b'isHorizontal', {'retval': {'type': 'Z'}}) r(b'NSMenuView', b'isTornOff', {'retval': {'type': 'Z'}}) r(b'NSMenuView', b'locationForSubmenu:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSMenuView', b'needsSizing', {'retval': {'type': 'Z'}}) r(b'NSMenuView', b'rectOfItemAtIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSMenuView', b'setHorizontal:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuView', b'setNeedsSizing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMenuView', b'setWindowFrameForAttachingToRect:onScreen:preferredEdge:popUpSelectedItem:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSMenuView', b'trackWithEvent:', {'retval': {'type': 'Z'}}) r(b'NSMovie', b'QTMovie', {'retval': {'type': '^^{MovieType}'}}) r(b'NSMovie', b'canInitWithPasteboard:', {'retval': {'type': 'Z'}}) r(b'NSMovie', b'initWithMovie:', {'arguments': {2: {'type': '^^{MovieType}'}}}) r(b'NSMovie', b'initWithURL:byReference:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSMovieView', b'isControllerVisible', {'retval': {'type': 'Z'}}) r(b'NSMovieView', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSMovieView', b'isMuted', {'retval': {'type': 'Z'}}) r(b'NSMovieView', b'isPlaying', {'retval': {'type': 'Z'}}) r(b'NSMovieView', b'movieController', {'retval': {'type': '^{ComponentInstanceRecord=[1l]}'}}) r(b'NSMovieView', b'movieRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSMovieView', b'playsEveryFrame', {'retval': {'type': 'Z'}}) r(b'NSMovieView', b'playsSelectionOnly', {'retval': {'type': 'Z'}}) r(b'NSMovieView', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMovieView', b'setMuted:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMovieView', b'setPlaysEveryFrame:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMovieView', b'setPlaysSelectionOnly:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSMovieView', b'showController:adjustingSize:', {'arguments': {2: {'type': 'Z'}, 3: {'type': 'Z'}}}) r(b'NSMovieView', b'sizeForMagnification:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSMutableAttributedString', b'applyFontTraits:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'fixAttachmentAttributeInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'fixAttributesInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'fixFontAttributeInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'fixParagraphStyleAttributeInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'readFromData:options:documentAttributes:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSMutableAttributedString', b'readFromData:options:documentAttributes:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSMutableAttributedString', b'readFromURL:options:documentAttributes:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSMutableAttributedString', b'readFromURL:options:documentAttributes:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSMutableAttributedString', b'setAlignment:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'setBaseWritingDirection:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'subscriptRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'superscriptRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableAttributedString', b'unscriptRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSMutableParagraphStyle', b'setAllowsDefaultTighteningForTruncation:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSNib', b'instantiateNibWithExternalNameTable:', {'retval': {'type': 'Z'}}) r(b'NSNib', b'instantiateNibWithOwner:topLevelObjects:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSNib', b'instantiateWithOwner:topLevelObjects:', {'retval': {'type': b'Z'}, 'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSObject', b'accessibilityActionDescription:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'accessibilityActionNames', {'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityActivationPoint', {'required': True, 'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSObject', b'accessibilityAllowedValues', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityApplicationFocusedUIElement', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityArrayAttributeCount:', {'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'accessibilityArrayAttributeValues:index:maxCount:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'accessibilityAttributeNames', {'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityAttributeValue:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'accessibilityAttributeValue:forParameter:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'accessibilityAttributedStringForRange:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'accessibilityCancelButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityCellForColumn:row:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'accessibilityChildren', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityClearButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityCloseButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityColumnCount', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityColumnHeaderUIElements', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityColumnIndexRange', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'accessibilityColumnTitles', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityColumns', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityContents', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityCriticalValue', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityDecrementButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityDefaultButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityDisclosedByRow', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityDisclosedRows', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityDisclosureLevel', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityDocument', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityExtrasMenuBar', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityFilename', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityFocusedUIElement', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityFocusedWindow', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityFrame', {'required': True, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSObject', b'accessibilityFrameForRange:', {'required': True, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'accessibilityFullScreenButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityGrowArea', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHandles', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHeader', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHeaderGroup', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHelp', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHitTest:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'accessibilityHorizontalScrollBar', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHorizontalUnitDescription', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityHorizontalUnits', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityIdentifier', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityIncrementButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityIndex', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityIndexOfChild:', {'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'accessibilityInsertionPointLineNumber', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityIsAttributeSettable:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'accessibilityIsIgnored', {'retval': {'type': 'Z'}}) r(b'NSObject', b'accessibilityLabel', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityLabelUIElements', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityLabelValue', {'required': True, 'retval': {'type': b'f'}}) r(b'NSObject', b'accessibilityLayoutPointForScreenPoint:', {'required': True, 'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'accessibilityLayoutSizeForScreenSize:', {'required': True, 'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSObject', b'accessibilityLineForIndex:', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'accessibilityLinkedUIElements', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMainWindow', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMarkerGroupUIElement', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMarkerTypeDescription', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMarkerUIElements', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMarkerValues', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMaxValue', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMenuBar', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMinValue', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityMinimizeButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityNextContents', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityNotifiesWhenDestroyed', {'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityNumberOfCharacters', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityOrientation', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityOverflowButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityParameterizedAttributeNames', {'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityParent', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityPerformAction:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'accessibilityPerformCancel', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformConfirm', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformDecrement', {'required': False, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformDelete', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformIncrement', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformPick', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformPress', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformRaise', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformShowAlternateUI', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformShowDefaultUI', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPerformShowMenu', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'accessibilityPlaceholderValue', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityPreviousContents', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityProxy', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityRTFForRange:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'accessibilityRangeForIndex:', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'accessibilityRangeForLine:', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'accessibilityRangeForPosition:', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'accessibilityRole', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityRoleDescription', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityRowCount', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityRowHeaderUIElements', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityRowIndexRange', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'accessibilityRows', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityRulerMarkerType', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityScreenPointForLayoutPoint:', {'required': True, 'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'accessibilityScreenSizeForLayoutSize:', {'required': True, 'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSObject', b'accessibilitySearchButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySearchMenu', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySelectedCells', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySelectedChildren', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySelectedColumns', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySelectedRows', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySelectedText', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySelectedTextRange', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'accessibilitySelectedTextRanges', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityServesAsTitleForUIElements', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySetOverrideValue:forAttribute:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'accessibilitySetValue:forAttribute:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'accessibilitySharedCharacterRange', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'accessibilitySharedFocusElements', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySharedTextUIElements', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityShownMenu', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilitySortDirection', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilitySplitters', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityStringForRange:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'accessibilityStyleRangeForIndex:', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'accessibilitySubrole', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityTabs', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityTitle', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityTitleUIElement', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityToolbarButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityTopLevelUIElement', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityURL', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityUnitDescription', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityUnits', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityValue', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityValueDescription', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityVerticalScrollBar', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityVerticalUnitDescription', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityVerticalUnits', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'accessibilityVisibleCells', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityVisibleCharacterRange', {'required': False, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'accessibilityVisibleChildren', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityVisibleColumns', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityVisibleRows', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityWarningValue', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityWindow', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityWindows', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'accessibilityZoomButton', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'action', {'required': True, 'retval': {'type': ':'}}) r(b'NSObject', b'activeConversationChanged:toNewConversation:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'activeConversationWillChange:fromOldConversation:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'alertShowHelp:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'allowsMultipleSelection', {'required': False, 'retval': {'type': b'Z'}}) r(b'NSObject', b'alphaControlAddedOrRemoved:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'animateDismissalOfViewController:fromViewController:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'animatePresentationOfViewController:fromViewController:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'animatesToDestination', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'animation:didReachProgressMark:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 'f'}}}) r(b'NSObject', b'animation:valueForProgress:', {'required': False, 'retval': {'type': 'f'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 'f'}}}) r(b'NSObject', b'animationDidEnd:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'animationDidStop:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'animationForKey:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'animationShouldStart:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'animations', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'animator', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'appearance', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'application:continueUserActivity:restorationHandler:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}, 'type': b'@?'}}}) r(b'NSObject', b'application:delegateHandlesKey:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'application:didDecodeRestorableState:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'application:didFailToContinueUserActivityWithType:error:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'application:didFailToRegisterForRemoteNotificationsWithError:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'application:didReceiveRemoteNotification:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'application:didRegisterForRemoteNotificationsWithDeviceToken:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'application:didUpdateUserActivity:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'application:openFile:', {'required': False, 'retval': {'type': 'Z'}, 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{'required': False, 'retval': {'type': 'I'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationShouldTerminateAfterLastWindowClosed:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillBecomeActive:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillFinishLaunching:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillHide:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillResignActive:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillTerminate:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillUnhide:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'applicationWillUpdate:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'attachColorList:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'attachment', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'attachmentBoundsForTextContainer:proposedLineFragment:glyphPosition:characterIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'attributedString', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'attributedSubstringForProposedRange:actualRange:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSObject', b'attributedSubstringFromRange:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'awakeFromNib', {'retval': {'type': b'v'}}) r(b'NSObject', b'baselineDeltaForCharacterAtIndex:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'bind:toObject:withKeyPath:options:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': b'@'}}}) r(b'NSObject', b'browser:acceptDrop:atRow:column:dropOperation:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': sel32or64(b'i', b'q')}, 6: {'type': 'I'}}}) r(b'NSObject', b'browser:canDragRowsWithIndexes:inColumn:withEvent:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': b'@'}}}) r(b'NSObject', b'browser:child:ofItem:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': b'@'}}}) r(b'NSObject', b'browser:createRowsForColumn:inMatrix:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': b'@'}}}) r(b'NSObject', b'browser:didChangeLastColumn:toColumn:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:draggingImageForRowsWithIndexes:inColumn:withEvent:offset:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': b'@'}, 6: {'type': sel32or64(b'N^{_NSPoint=ff}', b'N^{CGPoint=dd}')}}}) r(b'NSObject', b'browser:headerViewControllerForItem:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'browser:heightOfRow:inColumn:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:isColumnValid:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:isLeafItem:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'browser:namesOfPromisedFilesDroppedAtDestination:forDraggedRowsWithIndexes:inColumn:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:nextTypeSelectMatchFromRow:toRow:inColumn:forString:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': sel32or64(b'i', b'q')}, 6: {'type': b'@'}}}) r(b'NSObject', b'browser:numberOfChildrenOfItem:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'browser:numberOfRowsInColumn:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:objectValueForItem:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'browser:previewViewControllerForLeafItem:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'browser:selectCellWithString:inColumn:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:selectRow:inColumn:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:selectionIndexesForProposedSelection:inColumn:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'browser:setObjectValue:forItem:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'browser:shouldEditItem:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'browser:shouldShowCellExpansionForRow:column:', {'required': False, 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b'browserColumnConfigurationDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'browserDidScroll:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'browserWillScroll:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'buttonToolTip', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'canBeDisabled', {'required': True, 'retval': {'type': 'Z'}}) r(b'NSObject', b'candidateListTouchBarItem:beginSelectingCandidateAtIndex:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'candidateListTouchBarItem:changeSelectionFromCandidateAtIndex:toIndex:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'candidateListTouchBarItem:changedCandidateListVisibility:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSObject', b'candidateListTouchBarItem:endSelectingCandidateAtIndex:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'cellBaselineOffset', {'required': True, 'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSObject', b'cellFrameForTextContainer:proposedLineFragment:glyphPosition:characterIndex:', {'required': True, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'cellSize', {'required': True, 'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSObject', b'changeColor:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'changeFont:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'changeSpelling:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'characterIndexForPoint:', {'required': True, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'collectionView:acceptDrop:index:dropOperation:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'collectionView:acceptDrop:indexPath:dropOperation:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'collectionView:canDragItemsAtIndexPaths:withEvent:', {'retval': {'type': 'Z'}}) r(b'NSObject', b'collectionView:canDragItemsAtIndexes:withEvent:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'collectionView:didChangeItemsAtIndexPaths:toHighlightState:', {'arguments': {4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'collectionView:draggingImageForItemsAtIndexPaths:withEvent:offset:', {'arguments': {5: {'type': sel32or64(b'^{_NSPoint=ff}', b'^{CGPoint=dd}'), 'type_modifier': b'N'}}}) r(b'NSObject', b'collectionView:draggingImageForItemsAtIndexes:withEvent:offset:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'^{_NSPoint=ff}', b'^{CGPoint=dd}'), 'type_modifier': b'N'}}}) r(b'NSObject', b'collectionView:draggingSession:endedAtPoint:dragOperation:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'collectionView:draggingSession:endedAtPoint:draggingOperation:', {'arguments': {4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'collectionView:draggingSession:willBeginAtPoint:forItemsAtIndexPaths:', {'arguments': {4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'collectionView:draggingSession:willBeginAtPoint:forItemsAtIndexes:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': b'@'}}}) r(b'NSObject', b'collectionView:layout:insetForSectionAtIndex:', {'retval': {'type': sel32or64(b'{NSEdgeInsets=ffff}', b'{NSEdgeInsets=dddd}')}, 'arguments': {4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'collectionView:layout:minimumInteritemSpacingForSectionAtIndex:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'collectionView:layout:minimumLineSpacingForSectionAtIndex:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {4: 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b'Q')}}}) r(b'NSObject', b'draggedImage:movedTo:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'draggedImageLocation', {'required': True, 'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSObject', b'draggingDestinationWindow', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'draggingEnded:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'draggingEntered:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'draggingExited:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'draggingFormation', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'draggingLocation', {'required': True, 'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSObject', 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b'draggingSession:willBeginAtPoint:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'draggingSource', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'draggingSourceOperationMask', {'required': True, 'retval': {'type': sel32or64(b'I', b'Q')}}) r(b'NSObject', b'draggingSourceOperationMaskForLocal:', {'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSObject', b'draggingUpdated:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'drawCharactersInRange:forContentView:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': b'@'}}}) r(b'NSObject', b'drawWithFrame:inView:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', 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b'infoForBinding:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'initWithPasteboardPropertyList:ofType:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'initWithPickerMask:colorPanel:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': b'@'}}}) r(b'NSObject', b'inputClientBecomeActive:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'inputClientDisabled:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'inputClientEnabled:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'inputClientResignActive:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'insertGlyphs:length:forStartingGlyphAtIndex:characterIndex:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': '^I', 'type_modifier': b'n', 'c_array_length_in_arg': 3}, 3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'I', b'Q')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'insertNewButtonImage:in:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': '@'}, 3: {'type': '@'}}}) r(b'NSObject', b'insertText:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': '@'}}}) r(b'NSObject', b'insertText:client:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': '@'}, 3: {'type': '@'}}}) r(b'NSObject', b'insertText:replacementRange:', {'required': True, 'retval': {'type': 'v'}, 'arguments': {2: {'type': '@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'ioCommandBySelector:', {'arguments': {2: {'type': ':', 'sel_of_type': b'v@:@'}}}) r(b'NSObject', b'isAccessibilityAlternateUIVisible', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityDisclosed', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityEdited', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityElement', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityEnabled', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityExpanded', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityFocused', {'required': False, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityFrontmost', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityHidden', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityMain', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityMinimized', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityModal', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityOrderedByRow', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityProtectedContent', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilityRequired', {'retval': {'type': 'Z'}}) r(b'NSObject', b'isAccessibilitySelected', {'required': True, 'retval': {'type': b'Z'}}) r(b'NSObject', b'isAccessibilitySelectorAllowed:', {'required': True, 'retval': {'type': b'Z'}, 'arguments': {2: {'type': b':'}}}) r(b'NSObject', b'isContentDiscarded', {'retval': {'type': 'Z'}}) r(b'NSObject', b'isEditable', {'required': False, 'retval': {'type': 'Z'}}) r(b'NSObject', b'isExplicitlyIncluded', {'retval': {'type': 'Z'}}) r(b'NSObject', b'isFindBarVisible', {'required': True, 'retval': {'type': 'Z'}}) r(b'NSObject', b'isSelectable', {'required': False, 'retval': {'type': 'Z'}}) r(b'NSObject', b'key', {'retval': {'type': b'@'}}) r(b'NSObject', b'keyPathsForValuesAffectingPreview', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'layer:shouldInheritContentsScale:fromWindow:', {'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'f', b'd')}, 4: {'type': b'@'}}}) r(b'NSObject', b'layoutManager:boundingBoxForControlGlyphAtIndex:forTextContainer:proposedLineFragment:glyphPosition:characterIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 5: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 7: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'layoutManager:didCompleteLayoutForTextContainer:atEnd:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': 'Z'}}}) r(b'NSObject', b'layoutManager:lineSpacingAfterGlyphAtIndex:withProposedLineFragmentRect:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'layoutManager:paragraphSpacingAfterGlyphAtIndex:withProposedLineFragmentRect:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'layoutManager:paragraphSpacingBeforeGlyphAtIndex:withProposedLineFragmentRect:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'layoutManager:shouldBreakLineByHyphenatingBeforeCharacterAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'layoutManager:shouldBreakLineByWordBeforeCharacterAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'layoutManager:shouldGenerateGlyphs:properties:characterIndexes:forGlyphRange:', {'arguments': {3: {'type': 'n^S', 'c_array_length_in_arg': 6}, 4: {'type': sel32or64(b'n^I', b'n^Q'), 'c_array_length_in_arg': 6}, 5: {'type': sel32or64(b'n^I', b'n^Q'), 'c_array_length_in_arg': 6}, 6: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'layoutManager:shouldSetLineFragmentRect:lineFragmentUsedRect:baselineOffset:inTextContainer:forGlyphRange:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'N^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'N^{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'N^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'N^{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'N^f', b'N^d')}, 7: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'layoutManager:shouldUseAction:forControlCharacterAtIndex:', {'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'layoutManager:shouldUseTemporaryAttributes:forDrawingToScreen:atCharacterIndex:effectiveRange:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': 'Z'}, 5: {'type': sel32or64(b'I', b'Q')}, 6: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}'), 'type_modifier': b'o'}}}) r(b'NSObject', b'layoutManager:textContainer:didChangeGeometryFromSize:', {'arguments': {4: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSObject', b'layoutManagerDidInvalidateLayout:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'layoutOptions', {'required': True, 'retval': {'type': sel32or64(b'I', b'Q')}}) r(b'NSObject', b'layoutOrientation', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'listener:shouldAcceptNewConnection:', {'retval': {'type': 'Z'}}) r(b'NSObject', b'localizedKey', {'retval': {'type': b'@'}}) r(b'NSObject', b'localizedSummaryItems', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'localizedTitlesForItem:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'markedRange', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'markedTextAbandoned:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'markedTextSelectionChanged:client:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': b'@'}}}) r(b'NSObject', b'menu:updateItem:atIndex:shouldCancel:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': 'Z'}}}) r(b'NSObject', b'menu:willHighlightItem:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'menuDidClose:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'menuHasKeyEquivalent:forEvent:target:action:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': '^@', 'type_modifier': b'o'}, 5: {'type': '^:', 'type_modifier': b'o'}}}) r(b'NSObject', b'menuNeedsUpdate:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'menuWillOpen:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'minContentSize', {'required': True, 'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSObject', b'mouseDownOnCharacterIndex:atCoordinate:withModifier:client:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'I', b'Q')}, 5: {'type': b'@'}}}) r(b'NSObject', b'mouseDraggedOnCharacterIndex:atCoordinate:withModifier:client:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'I', b'Q')}, 5: {'type': b'@'}}}) r(b'NSObject', b'mouseUpOnCharacterIndex:atCoordinate:withModifier:client:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'I', b'Q')}, 5: {'type': b'@'}}}) r(b'NSObject', b'namesOfPromisedFilesDroppedAtDestination:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'numberOfItemsForScrubber:', {'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'numberOfItemsInComboBox:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'numberOfItemsInComboBoxCell:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'numberOfItemsInMenu:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'numberOfRowsInTableView:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'numberOfSectionsInCollectionView:', {'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'numberOfValidItemsForDrop', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'objectDidBeginEditing:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'objectDidEndEditing:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'optionDescriptionsForBinding:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineView:acceptDrop:item:childIndex:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'outlineView:child:ofItem:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineView:dataCellForTableColumn:item:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineView:didAddRowView:forRow:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'outlineView:didClickTableColumn:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:didDragTableColumn:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:didRemoveRowView:forRow:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'outlineView:draggingSession:endedAtPoint:', {'arguments': {4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'outlineView:draggingSession:endedAtPoint:operation:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'outlineView:draggingSession:willBeginAtPoint:', {'arguments': {4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'outlineView:draggingSession:willBeginAtPoint:forItems:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': 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{'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'outlineView:shouldSelectItem:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:shouldSelectTableColumn:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:shouldShowCellExpansionForTableColumn:item:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineView:shouldShowOutlineCellForItem:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:shouldTrackCell:forTableColumn:item:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': b'@'}}}) r(b'NSObject', b'outlineView:shouldTypeSelectForEvent:withCurrentSearchString:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineView:sizeToFitWidthOfColumn:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'outlineView:sortDescriptorsDidChange:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:toolTipForCell:rect:tableColumn:item:mouseLocation:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 5: {'type': b'@'}, 6: {'type': b'@'}, 7: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'outlineView:typeSelectStringForTableColumn:item:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineView:updateDraggingItemsForDrag:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'outlineView:validateDrop:proposedItem:proposedChildIndex:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'outlineView:viewForTableColumn:item:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineView:willDisplayCell:forTableColumn:item:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': b'@'}}}) r(b'NSObject', b'outlineView:willDisplayOutlineCell:forTableColumn:item:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': b'@'}}}) r(b'NSObject', b'outlineView:writeItems:toPasteboard:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'outlineViewColumnDidMove:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewColumnDidResize:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewItemDidCollapse:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewItemDidExpand:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewItemWillCollapse:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewItemWillExpand:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewSelectionDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'outlineViewSelectionIsChanging:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'pageController:didTransitionToObject:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pageController:frameForObject:', {'required': False, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pageController:identifierForObject:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pageController:prepareViewController:withObject:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'pageController:viewControllerForIdentifier:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pageControllerDidEndLiveTransition:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'pageControllerWillStartLiveTransition:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'panel:compareFilename:with:caseSensitive:', {'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': 'Z'}}}) r(b'NSObject', b'panel:didChangeToDirectoryURL:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'panel:directoryDidChange:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'panel:isValidFilename:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'panel:shouldEnableURL:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'panel:shouldShowFilename:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'panel:userEnteredFilename:confirmed:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': 'Z'}}}) r(b'NSObject', b'panel:validateURL:error:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': '^@', 'type_modifier': b'o'}}}) r(b'NSObject', b'panel:willExpand:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 'Z'}}}) r(b'NSObject', b'panelSelectionDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'pasteboard:item:provideDataForType:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'pasteboard:provideDataForType:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pasteboardChangedOwner:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'pasteboardFinishedWithDataProvider:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'pasteboardPropertyListForType:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'pathCell:willDisplayOpenPanel:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pathCell:willPopUpMenu:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pathControl:acceptDrop:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pathControl:shouldDragItem:withPasteboard:', {'required': False, 'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'pathControl:shouldDragPathComponentCell:withPasteboard:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'pathControl:validateDrop:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pathControl:willDisplayOpenPanel:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'pathControl:willPopUpMenu:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'performActionForItem:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'performDragOperation:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'performFeedbackPattern:performanceTime:', {'arguments': {3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'performSegueWithIdentifier:sender:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'popoverDidClose:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'popoverDidShow:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'popoverShouldClose:', {'required': False, 'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'popoverShouldDetach:', {'required': False, 'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'popoverWillClose:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'popoverWillShow:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'prepareForDragOperation:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'prepareForInterfaceBuilder', {'retval': {'type': b'v'}}) r(b'NSObject', b'prepareForSegue:sender:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'provideNewButtonImage', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'provideNewView:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSObject', b'readSelectionFromPasteboard:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'readableTypesForPasteboard:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'readingOptionsForType:pasteboard:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rectsForCharacterInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'rectsForCharacterRange:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'remoteObjectProxyWithErrorHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}, 'type': '@?'}}}) r(b'NSObject', b'replaceCharactersInRange:withString:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': b'@'}}}) r(b'NSObject', b'restoreWindowWithIdentifier:state:completionHandler:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}, 'type': '@?'}}}) r(b'NSObject', b'rootItemForBrowser:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'ruleEditor:child:forCriterion:withRowType:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'ruleEditor:displayValueForCriterion:inRow:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'ruleEditor:numberOfChildrenForCriterion:withRowType:', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'ruleEditor:predicatePartsForCriterion:withDisplayValue:inRow:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'ruleEditorRowsDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'rulerView:didAddMarker:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:didMoveMarker:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:didRemoveMarker:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:handleMouseDown:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:locationForPoint:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'rulerView:pointForLocation:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'f', b'd')}}}) r(b'NSObject', b'rulerView:pointForlocation:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'f', b'd')}}}) r(b'NSObject', b'rulerView:shouldAddMarker:', {'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:shouldMoveMarker:', {'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:shouldRemoveMarker:', {'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'rulerView:willAddMarker:atLocation:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'f', b'd')}}}) r(b'NSObject', b'rulerView:willMoveMarker:toLocation:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'f', b'd')}}}) r(b'NSObject', b'rulerView:willSetClientView:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'scrollRangeToVisible:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'scrubber:didChangeVisibleRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'scrubber:didHighlightItemAtIndex:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'scrubber:didSelectItemAtIndex:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'scrubber:layout:sizeForItemAtIndex:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'scrubber:viewForItemAtIndex:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'searchForItemsWithSearchString:resultLimit:matchedItemHandler:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}, 'type': '@?'}}}) r(b'NSObject', b'selectable', {'retval': {'type': b'Z'}}) r(b'NSObject', b'selectedRange', {'required': True, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSObject', b'selectedRanges', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'selectionShouldChangeInOutlineView:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'selectionShouldChangeInTableView:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityActivationPoint:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'setAccessibilityAllowedValues:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityAlternateUIVisible:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityApplicationFocusedUIElement:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityCancelButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityChildren:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityClearButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityCloseButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityColumnCount:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityColumnHeaderUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityColumnIndexRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setAccessibilityColumnTitles:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityColumns:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityContents:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityCriticalValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityDecrementButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityDefaultButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityDisclosed:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityDisclosedByRow:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityDisclosedRows:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityDisclosureLevel:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityDocument:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityEdited:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityElement:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityEnabled:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityExpanded:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityExtrasMenuBar:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityFilename:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityFocused:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityFocusedWindow:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityFrame:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'setAccessibilityFrontmost:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityFullScreenButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityGrowArea:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityHandles:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityHeader:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityHelp:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityHidden:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityHorizontalScrollBar:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityHorizontalUnitDescription:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityHorizontalUnits:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityIdentifier:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityIncrementButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityIndex:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityInsertionPointLineNumber:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityLabel:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityLabelUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityLabelValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'f'}}}) r(b'NSObject', b'setAccessibilityLinkedUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMain:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityMainWindow:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMarkerGroupUIElement:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMarkerTypeDescription:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMarkerUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMarkerValues:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMaxValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMenuBar:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMinValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMinimizeButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityMinimized:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityModal:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityNextContents:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityNumberOfCharacters:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityOrderedByRow:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityOrientation:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityOverflowButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityParent:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityPlaceholderValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityPreviousContents:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityProtectedContent:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilityProxy:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityRole:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityRoleDescription:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityRowCount:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityRowHeaderUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityRowIndexRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setAccessibilityRows:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityRulerMarkerType:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilitySearchButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySearchMenu:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySelected:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAccessibilitySelectedCells:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySelectedChildren:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySelectedColumns:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySelectedRows:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySelectedText:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySelectedTextRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setAccessibilitySelectedTextRanges:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityServesAsTitleForUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySharedCharacterRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setAccessibilitySharedFocusElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySharedTextUIElements:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityShownMenu:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySortDirection:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilitySplitters:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilitySubrole:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityTabs:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityTitle:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityTitleUIElement:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityToolbarButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityTopLevelUIElement:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityURL:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityUnitDescription:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityUnits:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityValueDescription:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityVerticalScrollBar:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityVerticalUnitDescription:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityVerticalUnits:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setAccessibilityVisibleCells:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityVisibleCharacterRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setAccessibilityVisibleChildren:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityVisibleColumns:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityVisibleRows:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityWarningValue:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityWindow:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityWindows:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAccessibilityZoomButton:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAllowsMultipleSelection:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAnimatesToDestination:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setAnimations:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAppearance:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setAttachment:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setColor:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setDefaultPlaceholder:forMarker:withBinding:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'setDockTile:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setDraggingFormation:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setEditable:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setFindBarView:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setFindBarVisible:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSObject', b'setFirstSelectedRange:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setIdentifier:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setIntAttribute:value:forGlyphAtIndex:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'setKey:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setLocalizedKey:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setMarkedText:selectedRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setMarkedText:selectedRange:replacementRange:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'setMode:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': 'i'}}}) r(b'NSObject', b'setNumberOfValidItemsForDrop:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'setSelectable:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'Z'}}}) r(b'NSObject', b'setSelectedRanges:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setString:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setValue:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'setVisibleCharacterRanges:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'sharingService:didFailToShareItems:error:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'sharingService:didShareItems:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'sharingService:sourceFrameOnScreenForShareItem:', {'required': False, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'sharingService:sourceWindowForShareItems:sharingContentScope:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'^i', b'^q')}}}) r(b'NSObject', b'sharingService:transitionImageForShareItem:contentRect:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'sharingService:willShareItems:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'sharingServicePicker:delegateForSharingService:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'sharingServicePicker:didChooseSharingService:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'sharingServicePicker:sharingServicesForItems:proposedSharingServices:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'shouldPerformSegueWithIdentifier:sender:', {'required': False, 'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'shouldReplaceCharactersInRanges:withStrings:', {'required': False, 'retval': {'type': b'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'showAllHelpTopicsForSearchString:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'showRelativeToRect:ofView:preferredEdge:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'slideDraggedImageTo:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'sound:didFinishPlaying:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 'Z'}}}) r(b'NSObject', b'speechRecognizer:didRecognizeCommand:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'speechSynthesizer:didEncounterErrorAtIndex:ofString:message:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': b'@'}, 5: {'type': b'@'}}}) r(b'NSObject', b'speechSynthesizer:didEncounterSyncMessage:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'speechSynthesizer:didFinishSpeaking:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 'Z'}}}) r(b'NSObject', b'speechSynthesizer:willSpeakPhoneme:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 's'}}}) r(b'NSObject', b'speechSynthesizer:willSpeakWord:ofString:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': b'@'}}}) r(b'NSObject', b'splitView:additionalEffectiveRectOfDividerAtIndex:', {'required': False, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:canCollapseSubview:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'splitView:constrainMaxCoordinate:ofSubviewAt:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:constrainMinCoordinate:ofSubviewAt:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:constrainSplitPosition:ofSubviewAt:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:effectiveRect:forDrawnRect:ofDividerAtIndex:', {'required': False, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:onstrainMaxCoordinate:ofSubviewAt:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:onstrainMinCoordinate:ofSubviewAt:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:onstrainSplitPosition:ofSubviewAt:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {3: {'type': sel32or64(b'f', b'd')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:resizeSubviewsWithOldSize:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSObject', b'splitView:shouldAdjustSizeOfSubview:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'splitView:shouldCollapseSubview:forDoubleClickOnDividerAtIndex:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitView:shouldHideDividerAtIndex:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'splitViewDidResizeSubviews:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'splitViewWillResizeSubviews:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'springLoadingActivated:draggingInfo:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSObject', b'springLoadingEntered:', {'retval': {'type': sel32or64(b'I', b'Q')}}) r(b'NSObject', b'springLoadingUpdated:', {'retval': {'type': sel32or64(b'I', b'Q')}}) r(b'NSObject', b'stackView:didReattachViews:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'stackView:willDetachViews:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'string', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'stringAtIndex:effectiveRange:endsWithSearchBoundary:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': sel32or64(b'^{_NSRange=II}', b'^{_NSRange=QQ}')}, 4: {'type': b'^Z'}}}) r(b'NSObject', b'stringAtIndex:effectiveRange:endswithSearchBoundary:', {'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 3: {'type': sel32or64(b'o^{_NSRange=II}', b'o^{_NSRange=QQ}')}, 4: {'type': 'o^Z'}}}) r(b'NSObject', b'stringLength', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}}) r(b'NSObject', b'supportsMode:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': 'i'}}}) r(b'NSObject', b'tabView:didSelectTabViewItem:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tabView:shouldSelectTabViewItem:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tabView:willSelectTabViewItem:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tabViewDidChangeNumberOfTabViewItems:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'tableView:acceptDrop:row:dropOperation:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'tableView:dataCellForTableColumn:row:', {'required': False, 'retval': {'type': '@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:didAddRowView:forRow:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:didClickTableColumn:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:didDragTableColumn:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:didRemoveRowView:forRow:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:draggingSession:endedAtPoint:operation:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'tableView:draggingSession:willBeginAtPoint:forRowIndexes:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': b'@'}}}) r(b'NSObject', b'tableView:heightOfRow:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:isGroupRow:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:mouseDownInHeaderOfTableColumn:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:namesOfPromisedFilesDroppedAtDestination:forDraggedRowsWithIndexes:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'tableView:nextTypeSelectMatchFromRow:toRow:forString:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': b'@'}}}) r(b'NSObject', b'tableView:objectValueForTableColumn:row:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:pasteboardWriterForRow:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:rowActionsForRow:edge:', {'arguments': {3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:rowViewForRow:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:selectionIndexesForProposedSelection:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:setObjectValue:forTableColumn:row:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:shouldEditTableColumn:row:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:shouldReorderColumn:toColumn:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:shouldSelectRow:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:shouldSelectTableColumn:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:shouldShowCellExpansionForTableColumn:row:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:shouldTrackCell:forTableColumn:row:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:shouldTypeSelectForEvent:withCurrentSearchString:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'tableView:sizeToFitWidthOfColumn:', {'required': False, 'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:sortDescriptorsDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:toolTipForCell:rect:tableColumn:row:mouseLocation:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 5: {'type': b'@'}, 6: {'type': sel32or64(b'i', b'q')}, 7: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSObject', b'tableView:typeSelectStringForTableColumn:row:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:updateDraggingItemsForDrag:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tableView:validateDrop:proposedRow:proposedDropOperation:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'tableView:viewForTableColumn:row:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:willDisplayCell:forTableColumn:row:', {'required': False, 'retval': {'type': 'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'tableView:writeRows:toPasteboard:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'tableView:writeRowsWithIndexes:toPasteboard:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'tableViewColumnDidMove:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'tableViewColumnDidResize:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'tableViewSelectionDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'tableViewSelectionIsChanging:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'tag', {'required': True, 'retval': {'type': sel32or64(b'i', b'q')}}) r(b'NSObject', b'terminate:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textDidBeginEditing:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textDidChange:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textDidEndEditing:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textField:textView:candidates:forSelectedRange:', {'arguments': {5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'textField:textView:candidatesForSelectedRange:', {'arguments': {4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'textField:textView:shouldSelectCandidateAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textShouldBeginEditing:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textShouldEndEditing:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textStorage:didProcessEditing:range:changeInLength:', {'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'textStorage:willProcessEditing:range:changeInLength:', {'arguments': {3: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'textStorageDidProcessEditing:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textStorageWillProcessEditing:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'textView:URLForContentsOfTextAttachment:atIndex:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:candidates:forSelectedRange:', {'arguments': {4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'textView:candidatesForSelectedRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'textView:clickedOnCell:inRect:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'textView:clickedOnCell:inRect:atIndex:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:clickedOnLink:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'textView:clickedOnLink:atIndex:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:completions:forPartialWordRange:indexOfSelectedItem:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'^i', b'^q'), 'type_modifier': b'N'}}}) r(b'NSObject', b'textView:didCheckTextInRange:types:options:results:orthography:wordCount:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'i', b'q')}, 5: {'type': b'@'}, 6: {'type': b'@'}, 7: {'type': b'@'}, 8: {'type': sel32or64(b'i', b'q')}}}) r(b'NSObject', b'textView:doCommandBySelector:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': ':', 'sel_of_type': b'v@:@'}}}) r(b'NSObject', b'textView:doubleClickedOnCell:inRect:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'textView:doubleClickedOnCell:inRect:atIndex:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:draggedCell:inRect:event:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': b'@'}}}) r(b'NSObject', b'textView:draggedCell:inRect:event:atIndex:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': b'@'}, 6: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:menu:forEvent:atIndex:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:shouldChangeTextInRange:replacementString:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': b'@'}}}) r(b'NSObject', b'textView:shouldChangeTextInRanges:replacementStrings:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'textView:shouldChangeTypingAttributes:toAttributes:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'textView:shouldSelectCandidateAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'textView:shouldSetSpellingState:range:', {'required': False, 'retval': {'type': sel32or64(b'i', b'q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'i', b'q')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'textView:willChangeSelectionFromCharacterRange:toCharacterRange:', {'required': False, 'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSObject', b'textView:willChangeSelectionFromCharacterRanges:toCharacterRanges:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'textView:willCheckTextInRange:options:types:', {'required': False, 'retval': 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{'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenField:menuForRepresentedObject:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenField:readFromPasteboard:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenField:representedObjectForEditingString:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenField:shouldAddObjects:atIndex:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'tokenField:styleForRepresentedObject:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenField:writeRepresentedObjects:toPasteboard:', {'required': False, 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'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenFieldCell:readFromPasteboard:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenFieldCell:representedObjectForEditingString:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenFieldCell:shouldAddObjects:atIndex:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'tokenFieldCell:styleForRepresentedObject:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'tokenFieldCell:writeRepresentedObjects:toPasteboard:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'@'}}}) r(b'NSObject', b'toolbar:itemForItemIdentifier:willBeInsertedIntoToolbar:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': 'Z'}}}) r(b'NSObject', b'toolbarAllowedItemIdentifiers:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'toolbarDefaultItemIdentifiers:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'toolbarDidRemoveItem:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'toolbarSelectableItemIdentifiers:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'toolbarWillAddItem:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'trackMouse:inRect:ofView:atCharacterIndex:untilMouseUp:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'I', b'Q')}, 6: {'type': 'Z'}}}) r(b'NSObject', b'trackMouse:inRect:ofView:untilMouseUp:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': b'@'}, 5: {'type': 'Z'}}}) r(b'NSObject', b'unbind:', {'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'undoManagerForTextView:', {'required': False, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'unmarkText', {'required': True, 'retval': {'type': b'v'}}) r(b'NSObject', b'updateDraggingItemsForDrag:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'validAttributesForMarkedText', {'required': True, 'retval': {'type': b'@'}}) r(b'NSObject', b'validModesForFontPanel:', {'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'validateMenuItem:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'validateToolbarItem:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'validateUserInterfaceItem:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'value', {'retval': {'type': b'@'}}) r(b'NSObject', b'valueClassForBinding:', {'retval': {'type': '#'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'view:stringForToolTip:point:userData:', {'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}, 3: {'type': 'i'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': '^v'}}}) r(b'NSObject', b'viewSizeChanged:', {'required': True, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'visibleCharacterRanges', {'required': False, 'retval': {'type': b'@'}}) r(b'NSObject', b'wantsPeriodicDraggingUpdates', {'required': False, 'retval': {'type': 'Z'}}) r(b'NSObject', b'wantsToDelayTextChangeNotifications', {'required': True, 'retval': {'type': 'Z'}}) r(b'NSObject', b'wantsToHandleMouseEvents', {'required': True, 'retval': {'type': 'Z'}}) r(b'NSObject', b'wantsToInterpretAllKeystrokes', {'required': True, 'retval': {'type': 'Z'}}) r(b'NSObject', b'wantsToTrackMouse', {'required': True, 'retval': {'type': 'Z'}}) r(b'NSObject', b'wantsToTrackMouseForEvent:inRect:ofView:atCharacterIndex:', {'required': True, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': b'@'}, 5: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'window:didDecodeRestorableState:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'window:shouldDragDocumentWithEvent:from:withPasteboard:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 5: {'type': b'@'}}}) r(b'NSObject', b'window:shouldPopUpDocumentPathMenu:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'window:startCustomAnimationToEnterFullScreenOnScreen:withDuration:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': b'd'}}}) r(b'NSObject', b'window:startCustomAnimationToEnterFullScreenWithDuration:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'd'}}}) r(b'NSObject', b'window:startCustomAnimationToExitFullScreenWithDuration:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'd'}}}) r(b'NSObject', b'window:willEncodeRestorableState:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'window:willPositionSheet:usingRect:', {'required': False, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'window:willResizeForVersionBrowserWithMaxPreferredSize:maxAllowedSize:', {'required': False, 'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 4: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSObject', b'window:willUseFullScreenContentSize:', {'required': False, 'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSObject', b'window:willUseFullScreenPresentationOptions:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSObject', b'windowDidBecomeKey:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowDidBecomeMain:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowDidChangeBackingProperties:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowDidChangeOcclusionState:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowDidChangeScreen:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowDidChangeScreenProfile:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowDidDeminiaturize:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': 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{'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowShouldZoom:toFrame:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'windowWillBeginSheet:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowWillClose:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowWillEnterFullScreen:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowWillEnterVersionBrowser:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowWillExitFullScreen:', {'required': False, 'retval': {'type': b'v'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'windowWillExitVersionBrowser:', {'required': False, 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{'required': False, 'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': b'@'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSObject', b'writableTypesForPasteboard:', {'required': True, 'retval': {'type': b'@'}, 'arguments': {2: {'type': b'@'}}}) r(b'NSObject', b'writeSelectionToPasteboard:types:', {'required': False, 'retval': {'type': 'Z'}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObject', b'writingOptionsForType:pasteboard:', {'required': False, 'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': b'@'}, 3: {'type': b'@'}}}) r(b'NSObjectController', b'automaticallyPreparesContent', {'retval': {'type': 'Z'}}) r(b'NSObjectController', b'canAdd', {'retval': {'type': 'Z'}}) r(b'NSObjectController', b'canRemove', {'retval': {'type': 'Z'}}) r(b'NSObjectController', b'fetchWithRequest:merge:error:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': 'Z'}, 4: {'type_modifier': b'o'}}}) r(b'NSObjectController', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSObjectController', b'setAutomaticallyPreparesContent:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSObjectController', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSObjectController', b'setUsesLazyFetching:', {'retval': {'type': 'v'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSObjectController', b'usesLazyFetching', {'retval': {'type': 'Z'}}) r(b'NSObjectController', b'validateUserInterfaceItem:', {'retval': {'type': 'Z'}}) r(b'NSOpenGLContext', b'CGLContextObj', {'retval': {'type': '^{_CGLContextObj}'}}) r(b'NSOpenGLContext', b'getValues:forParameter:', {'arguments': {2: {'type': '^i'}}}) r(b'NSOpenGLContext', b'setOffScreen:width:height:rowbytes:', {'arguments': {2: {'type_modifier': b'n', 'c_array_of_variable_length': True}}}) r(b'NSOpenGLContext', b'setValues:forParameter:', {'arguments': {2: {'type_modifier': b'n', 'c_array_of_variable_length': True}}}) r(b'NSOpenGLLayer', b'canDrawInOpenGLContext:pixelFormat:forLayerTime:displayTime:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type': sel32or64(b'^{_CVTimeStamp=IiqQdq{CVSMPTETime=ssLLLssss}QQ}', b'^{_CVTimeStamp=IiqQdq{CVSMPTETime=ssIIIssss}QQ}'), 'type_modifier': b'n'}}}) r(b'NSOpenGLLayer', b'drawInOpenGLContext:pixelFormat:forLayerTime:displayTime:', {'arguments': {5: {'type': sel32or64(b'^{_CVTimeStamp=IiqQdq{CVSMPTETime=ssLLLssss}QQ}', b'^{_CVTimeStamp=IiqQdq{CVSMPTETime=ssIIIssss}QQ}'), 'type_modifier': b'n'}}}) r(b'NSOpenGLPixelFormat', b'CGLPixelFormatObj', {'retval': {'type': '^{_CGLPixelFormatObject}'}}) r(b'NSOpenGLPixelFormat', b'getValues:forAttribute:forVirtualScreen:', {'arguments': {2: {'type': '^i', 'type_modifier': b'o'}}}) r(b'NSOpenGLPixelFormat', b'initWithAttributes:', {'arguments': {2: {'c_array_delimited_by_null': True, 'type': 'r^I', 'type_modifier': b'n'}}}) r(b'NSOpenGLView', b'initWithFrame:pixelFormat:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSOpenPanel', b'allowsMultipleSelection', {'retval': {'type': 'Z'}}) r(b'NSOpenPanel', b'beginForDirectory:file:types:modelessDelegate:didEndSelector:contextInfo:', {'arguments': {6: {'type': ':', 'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 7: {'type': '^v'}}}) r(b'NSOpenPanel', b'beginSheetForDirectory:file:types:modalForWindow:modalDelegate:didEndSelector:contextInfo:', {'arguments': {7: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 8: {'type': '^v'}}}) r(b'NSOpenPanel', b'canChooseDirectories', {'retval': {'type': 'Z'}}) r(b'NSOpenPanel', b'canChooseFiles', {'retval': {'type': 'Z'}}) r(b'NSOpenPanel', b'canDownloadUbiquitousContents', {'retval': {'type': b'Z'}}) r(b'NSOpenPanel', b'canResolveUbiquitousConflicts', {'retval': {'type': b'Z'}}) r(b'NSOpenPanel', b'isAccessoryViewDisclosed', {'retval': {'type': 'Z'}}) r(b'NSOpenPanel', b'resolvesAliases', {'retval': {'type': 'Z'}}) r(b'NSOpenPanel', b'setAccessoryViewDisclosed:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOpenPanel', b'setAllowsMultipleSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOpenPanel', b'setCanChooseDirectories:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOpenPanel', b'setCanChooseFiles:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOpenPanel', b'setCanDownloadUbiquitousContents:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSOpenPanel', b'setCanResolveUbiquitousConflicts:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSOpenPanel', b'setResolvesAliases:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOutlineView', b'autoresizesOutlineColumn', {'retval': {'type': 'Z'}}) r(b'NSOutlineView', b'autosaveExpandedItems', {'retval': {'type': 'Z'}}) r(b'NSOutlineView', b'collapseItem:collapseChildren:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSOutlineView', b'expandItem:expandChildren:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSOutlineView', b'frameOfOutlineCellAtRow:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSOutlineView', b'indentationMarkerFollowsCell', {'retval': {'type': 'Z'}}) r(b'NSOutlineView', b'isExpandable:', {'retval': {'type': 'Z'}}) r(b'NSOutlineView', b'isItemExpanded:', {'retval': {'type': 'Z'}}) r(b'NSOutlineView', b'reloadItem:reloadChildren:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSOutlineView', b'setAutoresizesOutlineColumn:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOutlineView', b'setAutosaveExpandedItems:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOutlineView', b'setIndentationMarkerFollowsCell:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOutlineView', b'setStronglyReferencesItems:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSOutlineView', b'shouldCollapseAutoExpandedItemsForDeposited:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSOutlineView', b'stronglyReferencesItems', {'retval': {'type': 'Z'}}) r(b'NSPDFImageRep', b'bounds', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSPDFInfo', b'isFileExtensionHidden', {'retval': {'type': b'Z'}}) r(b'NSPDFInfo', b'setFileExtensionHidden:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSPDFPanel', b'beginSheetWithPDFInfo:modalForWindow:completionHandler:', {'arguments': {4: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSPICTImageRep', b'boundingBox', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSPageLayout', b'beginSheetWithPrintInfo:modalForWindow:delegate:didEndSelector:contextInfo:', {'arguments': {5: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 6: {'type': '^v'}}}) r(b'NSPanel', b'becomesKeyOnlyIfNeeded', {'retval': {'type': 'Z'}}) r(b'NSPanel', b'isFloatingPanel', {'retval': {'type': 'Z'}}) r(b'NSPanel', b'setBecomesKeyOnlyIfNeeded:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPanel', b'setFloatingPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPanel', b'setWorksWhenModal:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPanel', b'worksWhenModal', {'retval': {'type': 'Z'}}) r(b'NSParagraphStyle', b'allowsDefaultTighteningForTruncation', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'canReadItemWithDataConformingToTypes:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'canReadObjectForClasses:options:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'setData:forType:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'setPropertyList:forType:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'setString:forType:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'writeFileContents:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'writeFileWrapper:', {'retval': {'type': 'Z'}}) r(b'NSPasteboard', b'writeObjects:', {'retval': {'type': 'Z'}}) r(b'NSPasteboardItem', b'setData:forType:', {'retval': {'type': 'Z'}}) r(b'NSPasteboardItem', b'setDataProvider:forTypes:', {'retval': {'type': 'Z'}}) r(b'NSPasteboardItem', b'setPropertyList:forType:', {'retval': {'type': 'Z'}}) r(b'NSPasteboardItem', b'setString:forType:', {'retval': {'type': 'Z'}}) r(b'NSPathCell', b'mouseEntered:withFrame:inView:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPathCell', b'mouseExited:withFrame:inView:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPathCell', b'pathComponentCellAtPoint:withFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPathCell', b'rectOfPathComponentCell:withFrame:inView:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPathCell', b'setDoubleAction:', {'retval': {'type': 'v'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSPathControl', b'isEditable', {'retval': {'type': b'Z'}}) r(b'NSPathControl', b'setDoubleAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSPathControl', b'setDraggingSourceOperationMask:forLocal:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSPathControl', b'setEditable:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSPersistentDocument', b'configurePersistentStoreCoordinatorForURL:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSPersistentDocument', b'configurePersistentStoreCoordinatorForURL:ofType:modelConfiguration:storeOptions:error:', {'retval': {'type': 'Z'}, 'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSPersistentDocument', b'readFromURL:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSPersistentDocument', b'revertToContentsOfURL:ofType:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSPersistentDocument', b'writeToURL:ofType:forSaveOperation:originalContentsURL:error:', {'retval': {'type': 'Z'}, 'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSPopUpButton', b'autoenablesItems', {'retval': {'type': 'Z'}}) r(b'NSPopUpButton', b'indexOfItemWithTarget:andAction:', {'arguments': {3: {'sel_of_type': b'v@:@'}}}) r(b'NSPopUpButton', b'initWithFrame:pullsDown:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}}}) r(b'NSPopUpButton', b'pullsDown', {'retval': {'type': 'Z'}}) r(b'NSPopUpButton', b'selectItemWithTag:', {'retval': {'type': 'Z'}}) r(b'NSPopUpButton', b'setAutoenablesItems:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopUpButton', b'setPullsDown:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopUpButtonCell', b'altersStateOfSelectedItem', {'retval': {'type': 'Z'}}) r(b'NSPopUpButtonCell', b'attachPopUpWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPopUpButtonCell', b'autoenablesItems', {'retval': {'type': 'Z'}}) r(b'NSPopUpButtonCell', b'indexOfItemWithTarget:andAction:', {'arguments': {3: {'sel_of_type': b'v@:@'}}}) r(b'NSPopUpButtonCell', b'initTextCell:pullsDown:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSPopUpButtonCell', b'performClickWithFrame:inView:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPopUpButtonCell', b'pullsDown', {'retval': {'type': 'Z'}}) r(b'NSPopUpButtonCell', b'selectItemWithTag:', {'retval': {'type': 'Z'}}) r(b'NSPopUpButtonCell', b'setAltersStateOfSelectedItem:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopUpButtonCell', b'setAutoenablesItems:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopUpButtonCell', b'setPullsDown:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopUpButtonCell', b'setUsesItemFromMenu:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopUpButtonCell', b'usesItemFromMenu', {'retval': {'type': 'Z'}}) r(b'NSPopover', b'animates', {'retval': {'type': b'Z'}}) r(b'NSPopover', b'isDetached', {'retval': {'type': 'Z'}}) r(b'NSPopover', b'isShown', {'retval': {'type': b'Z'}}) r(b'NSPopover', b'setAnimates:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSPopover', b'setDetached:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopover', b'setShown:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopoverTouchBarItem', b'setShowsCloseButton:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPopoverTouchBarItem', b'showsCloseButton', {'retval': {'type': 'Z'}}) r(b'NSPrintInfo', b'PMPageFormat', {'retval': {'type': '^{OpaquePMPageFormat=}'}}) r(b'NSPrintInfo', b'PMPrintSession', {'retval': {'type': '^{OpaquePMPrintSession=}'}}) r(b'NSPrintInfo', b'PMPrintSettings', {'retval': {'type': '^{OpaquePMPrintSettings=}'}}) r(b'NSPrintInfo', b'imageablePageBounds', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSPrintInfo', b'isHorizontallyCentered', {'retval': {'type': 'Z'}}) r(b'NSPrintInfo', b'isSelectionOnly', {'retval': {'type': 'Z'}}) r(b'NSPrintInfo', b'isVerticallyCentered', {'retval': {'type': 'Z'}}) r(b'NSPrintInfo', b'paperSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSPrintInfo', b'setHorizontallyCentered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintInfo', b'setPaperSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSPrintInfo', b'setSelectionOnly:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintInfo', b'setVerticallyCentered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintInfo', b'sizeForPaperName:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSPrintOperation', b'EPSOperationWithView:insideRect:toData:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPrintOperation', b'EPSOperationWithView:insideRect:toData:printInfo:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPrintOperation', b'EPSOperationWithView:insideRect:toPath:printInfo:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPrintOperation', b'PDFOperationWithView:insideRect:toData:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPrintOperation', b'PDFOperationWithView:insideRect:toData:printInfo:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPrintOperation', b'PDFOperationWithView:insideRect:toPath:printInfo:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSPrintOperation', b'canSpawnSeparateThread', {'retval': {'type': 'Z'}}) r(b'NSPrintOperation', b'deliverResult', {'retval': {'type': 'Z'}}) r(b'NSPrintOperation', b'isCopyingOperation', {'retval': {'type': 'Z'}}) r(b'NSPrintOperation', b'pageRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSPrintOperation', b'runOperation', {'retval': {'type': 'Z'}}) r(b'NSPrintOperation', b'runOperationModalForWindow:delegate:didRunSelector:contextInfo:', {'arguments': {4: {'sel_of_type': b'v@:@Z^v'}, 5: {'type': '^v'}}}) r(b'NSPrintOperation', b'setCanSpawnSeparateThread:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintOperation', b'setShowPanels:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintOperation', b'setShowsPrintPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintOperation', b'setShowsProgressPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSPrintOperation', b'showPanels', {'retval': {'type': 'Z'}}) r(b'NSPrintOperation', b'showsPrintPanel', {'retval': {'type': 'Z'}}) r(b'NSPrintOperation', b'showsProgressPanel', {'retval': {'type': 'Z'}}) r(b'NSPrintPanel', b'beginSheetWithPrintInfo:modalForWindow:delegate:didEndSelector:contextInfo:', {'arguments': {5: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 6: {'type': '^v'}}}) r(b'NSPrinter', b'acceptsBinary', {'retval': {'type': 'Z'}}) r(b'NSPrinter', b'booleanForKey:inTable:', {'retval': {'type': 'Z'}}) r(b'NSPrinter', b'imageRectForPaper:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSPrinter', b'isColor', {'retval': {'type': 'Z'}}) r(b'NSPrinter', b'isFontAvailable:', {'retval': {'type': 'Z'}}) r(b'NSPrinter', b'isKey:inTable:', {'retval': {'type': 'Z'}}) r(b'NSPrinter', b'isOutputStackInReverseOrder', {'retval': {'type': 'Z'}}) r(b'NSPrinter', b'pageSizeForPaper:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSPrinter', b'printerWithName:domain:includeUnavailable:', {'arguments': {4: {'type': 'Z'}}}) r(b'NSPrinter', b'rectForKey:inTable:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSPrinter', b'sizeForKey:inTable:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSProgressIndicator', b'isBezeled', {'retval': {'type': 'Z'}}) r(b'NSProgressIndicator', b'isDisplayedWhenStopped', {'retval': {'type': 'Z'}}) r(b'NSProgressIndicator', b'isIndeterminate', {'retval': {'type': 'Z'}}) r(b'NSProgressIndicator', b'setBezeled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSProgressIndicator', b'setDisplayedWhenStopped:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSProgressIndicator', b'setIndeterminate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSProgressIndicator', b'setUsesThreadedAnimation:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSProgressIndicator', b'usesThreadedAnimation', {'retval': {'type': 'Z'}}) r(b'NSQuickDrawView', b'qdPort', {'retval': {'type': '^v'}}) r(b'NSResponder', b'acceptsFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'becomeFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'doCommandBySelector:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSResponder', b'noResponderFor:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSResponder', b'performKeyEquivalent:', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'performMnemonic:', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'presentError:', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'presentError:modalForWindow:delegate:didPresentSelector:contextInfo:', {'arguments': {5: {'sel_of_type': b'v@:Z^v'}, 6: {'type': '^v'}}}) r(b'NSResponder', b'resignFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'shouldBeTreatedAsInkEvent:', {'retval': {'type': 'Z'}}) r(b'NSResponder', b'supplementalTargetForAction:sender:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSResponder', b'tryToPerform:with:', {'retval': {'type': 'Z'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSResponder', b'validateProposedFirstResponder:forEvent:', {'retval': {'type': b'Z'}}) r(b'NSResponder', b'wantsForwardedScrollEventsForAxis:', {'retval': {'type': b'Z'}}) r(b'NSResponder', b'wantsScrollEventsForSwipeTrackingOnAxis:', {'retval': {'type': b'Z'}}) r(b'NSRuleEditor', b'canRemoveAllRows', {'retval': {'type': 'Z'}}) r(b'NSRuleEditor', b'insertRowAtIndex:withType:asSubrowOfRow:animate:', {'arguments': {5: {'type': 'Z'}}}) r(b'NSRuleEditor', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSRuleEditor', b'removeRowsAtIndexes:includeSubrows:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSRuleEditor', b'selectRowIndexes:byExtendingSelection:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSRuleEditor', b'setCanRemoveAllRows:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSRuleEditor', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSRulerMarker', b'drawRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSRulerMarker', b'imageOrigin', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSRulerMarker', b'imageRectInRuler', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSRulerMarker', b'initWithRulerView:markerLocation:image:imageOrigin:', {'arguments': {5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSRulerMarker', b'isDragging', {'retval': {'type': 'Z'}}) r(b'NSRulerMarker', b'isMovable', {'retval': {'type': 'Z'}}) r(b'NSRulerMarker', b'isRemovable', {'retval': {'type': 'Z'}}) r(b'NSRulerMarker', b'setImageOrigin:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSRulerMarker', b'setMovable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSRulerMarker', b'setRemovable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSRulerMarker', b'trackMouse:adding:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': 'Z'}}}) r(b'NSRulerView', b'drawHashMarksAndLabelsInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSRulerView', b'drawMarkersInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSRulerView', b'isFlipped', {'retval': {'type': 'Z'}}) r(b'NSRulerView', b'trackMarker:withMouseEvent:', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'activateWithOptions:', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'forceTerminate', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'hide', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'isActive', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'isFinishedLaunching', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'isHidden', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'isTerminated', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'ownsMenuBar', {'retval': {'type': b'Z'}}) r(b'NSRunningApplication', b'terminate', {'retval': {'type': 'Z'}}) r(b'NSRunningApplication', b'unhide', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'allowsOtherFileTypes', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'beginForDirectory:file:types:modelessDelegate:didEndSelector:contextInfo:', {'arguments': {6: {'type': ':', 'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 7: {'type': '^v'}}}) r(b'NSSavePanel', b'beginSheetForDirectory:file:modalForWindow:modalDelegate:didEndSelector:contextInfo:', {'arguments': {6: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 7: {'type': '^v'}}}) r(b'NSSavePanel', b'beginSheetForDirectory:file:types:modalForWindow:modalDelegate:didEndSelector:contextInfo:', {'arguments': {7: {'sel_of_type': sel32or64(b'v@:@i^v', b'v@:@q^v')}, 8: {'type': '^v'}}}) r(b'NSSavePanel', b'beginSheetModalForWindow:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSSavePanel', b'beginWithCompletionHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSSavePanel', b'canCreateDirectories', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'canSelectHiddenExtension', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'isExpanded', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'isExtensionHidden', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'setAllowsOtherFileTypes:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSavePanel', b'setCanCreateDirectories:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSavePanel', b'setCanSelectHiddenExtension:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSavePanel', b'setExtensionHidden:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSavePanel', b'setShowsHiddenFiles:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSavePanel', b'setShowsTagField:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSavePanel', b'setTreatsFilePackagesAsDirectories:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSavePanel', b'showsHiddenFiles', {'retval': {'type': 'Z'}}) r(b'NSSavePanel', b'showsTagField', {'retval': {'type': b'Z'}}) r(b'NSSavePanel', b'treatsFilePackagesAsDirectories', {'retval': {'type': 'Z'}}) r(b'NSScreen', b'canRepresentDisplayGamut:', {'retval': {'type': 'Z'}}) r(b'NSScreen', b'frame', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSScreen', b'screensHaveSeparateSpaces', {'retval': {'type': b'Z'}}) r(b'NSScreen', b'supportedWindowDepths', {'retval': {'c_array_delimited_by_null': True}}) r(b'NSScreen', b'visibleFrame', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSScrollView', b'allowsMagnification', {'retval': {'type': b'Z'}}) r(b'NSScrollView', b'autohidesScrollers', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'automaticallyAdjustsContentInsets', {'retval': {'type': b'Z'}}) r(b'NSScrollView', b'contentSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSScrollView', b'contentSizeForFrameSize:hasHorizontalScroller:hasVerticalScroller:borderType:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 3: {'type': 'Z'}, 4: {'type': 'Z'}}}) r(b'NSScrollView', b'documentVisibleRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSScrollView', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'frameSizeForContentSize:hasHorizontalScroller:hasVerticalScroller:borderType:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 3: {'type': 'Z'}, 4: {'type': 'Z'}}}) r(b'NSScrollView', b'hasHorizontalRuler', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'hasHorizontalScroller', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'hasVerticalRuler', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'hasVerticalScroller', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'rulersVisible', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'scrollsDynamically', {'retval': {'type': 'Z'}}) r(b'NSScrollView', b'setAllowsMagnification:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSScrollView', b'setAutohidesScrollers:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setAutomaticallyAdjustsContentInsets:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSScrollView', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setHasHorizontalRuler:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setHasHorizontalScroller:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setHasVerticalRuler:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setHasVerticalScroller:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setRulersVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setScrollsDynamically:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrollView', b'setUsesPredominantAxisScrolling:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSScrollView', b'usesPredominantAxisScrolling', {'retval': {'type': b'Z'}}) r(b'NSScroller', b'drawArrow:highlight:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSScroller', b'drawKnobSlotInRect:highlight:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}}}) r(b'NSScroller', b'highlight:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScroller', b'isCompatibleWithOverlayScrollers', {'retval': {'type': b'Z'}}) r(b'NSScroller', b'rectForPart:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSScroller', b'testPart:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSScrubber', b'floatsSelectionViews', {'retval': {'type': 'Z'}}) r(b'NSScrubber', b'isContinuous', {'retval': {'type': 'Z'}}) r(b'NSScrubber', b'performSequentialBatchUpdates:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSScrubber', b'setContinuous:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrubber', b'setFloatsSelectionViews:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrubber', b'setShowsAdditionalContentIndicators:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrubber', b'setShowsArrowButtons:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrubber', b'showsAdditionalContentIndicators', {'retval': {'type': 'Z'}}) r(b'NSScrubber', b'showsArrowButtons', {'retval': {'type': 'Z'}}) r(b'NSScrubberArrangedView', b'isHighlighted', {'retval': {'type': 'Z'}}) r(b'NSScrubberArrangedView', b'isSelected', {'retval': {'type': 'Z'}}) r(b'NSScrubberArrangedView', b'setHighlighted:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrubberArrangedView', b'setSelected:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSScrubberLayout', b'automaticallyMirrorsInRightToLeftLayout', {'retval': {'type': 'Z'}}) r(b'NSScrubberLayout', b'shouldInvalidateLayoutForChangeFromVisibleRect:toVisibleRect:', {'retval': {'type': 'Z'}}) r(b'NSScrubberLayout', b'shouldInvalidateLayoutForHighlightChange', {'retval': {'type': 'Z'}}) r(b'NSScrubberLayout', b'shouldInvalidateLayoutForSelectionChange', {'retval': {'type': 'Z'}}) r(b'NSSearchField', b'centersPlaceholder', {'retval': {'type': 'Z'}}) r(b'NSSearchField', b'rectForCancelButtonWhenCentered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSearchField', b'rectForSearchButtonWhenCentered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSearchField', b'rectForSearchTextWhenCentered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSearchField', b'sendsSearchStringImmediately', {'retval': {'type': b'Z'}}) r(b'NSSearchField', b'sendsWholeSearchString', {'retval': {'type': b'Z'}}) r(b'NSSearchField', b'setCentersPlaceholder:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSearchField', b'setSendsSearchStringImmediately:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSearchField', b'setSendsWholeSearchString:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSearchFieldCell', b'cancelButtonRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSearchFieldCell', b'searchButtonRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSearchFieldCell', b'searchTextRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSearchFieldCell', b'sendsSearchStringImmediately', {'retval': {'type': 'Z'}}) r(b'NSSearchFieldCell', b'sendsWholeSearchString', {'retval': {'type': 'Z'}}) r(b'NSSearchFieldCell', b'setSendsSearchStringImmediately:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSearchFieldCell', b'setSendsWholeSearchString:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSecureTextFieldCell', b'echosBullets', {'retval': {'type': 'Z'}}) r(b'NSSecureTextFieldCell', b'setEchosBullets:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSegmentedCell', b'drawSegment:inFrame:withView:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSegmentedCell', b'isEnabledForSegment:', {'retval': {'type': 'Z'}}) r(b'NSSegmentedCell', b'isSelectedForSegment:', {'retval': {'type': 'Z'}}) r(b'NSSegmentedCell', b'selectSegmentWithTag:', {'retval': {'type': 'Z'}}) r(b'NSSegmentedCell', b'setEnabled:forSegment:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSegmentedCell', b'setSelected:forSegment:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSegmentedControl', b'isEnabledForSegment:', {'retval': {'type': 'Z'}}) r(b'NSSegmentedControl', b'isSelectedForSegment:', {'retval': {'type': 'Z'}}) r(b'NSSegmentedControl', b'isSpringLoaded', {'retval': {'type': b'Z'}}) r(b'NSSegmentedControl', b'segmentedControlWithImages:trackingMode:target:action:', {'arguments': {5: {'sel_of_type': b'v@:@'}}}) r(b'NSSegmentedControl', b'segmentedControlWithLabels:trackingMode:target:action:', {'arguments': {5: {'sel_of_type': b'v@:@'}}}) r(b'NSSegmentedControl', b'selectSegmentWithTag:', {'retval': {'type': 'Z'}}) r(b'NSSegmentedControl', b'setEnabled:forSegment:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSegmentedControl', b'setSelected:forSegment:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSegmentedControl', b'setShowsMenuIndicator:forSegment:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSegmentedControl', b'setSpringLoaded:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSegmentedControl', b'showsMenuIndicatorForSegment:', {'retval': {'type': 'Z'}}) r(b'NSSet', b'enumerateIndexPathsWithOptions:usingBlock:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'o^Z'}}}}}}) r(b'NSShadow', b'setShadowOffset:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSShadow', b'shadowOffset', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSSharingService', b'canPerformWithItems:', {'retval': {'type': b'Z'}}) r(b'NSSharingService', b'initWithTitle:image:alternateImage:handler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSSharingServicePickerTouchBarItem', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSSharingServicePickerTouchBarItem', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSimpleHorizontalTypesetter', b'baseOfTypesetterGlyphInfo', {'retval': {'type': b'^{_NSTypesetterGlyphInfo={_NSPoint=ff}fffI@{_NSSize=ff}{_struct _NSTypesetterGlyphInfo::(anonymous at /Applications/Xcode-beta.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.10.sdk/System/Library/Frameworks/AppKit.framework/Headers/NSSimpleHorizontalTypesetter.h:58:5)=b1b1b1}{=b1b1b1}}'}}) r(b'NSSimpleHorizontalTypesetter', b'growGlyphCaches:fillGlyphInfo:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSSimpleHorizontalTypesetter', b'layoutControlGlyphForLineFragment:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSimpleHorizontalTypesetter', b'layoutGlyphsInHorizontalLineFragment:baseline:', {'arguments': {2: {'type_modifier': b'N'}, 3: {'type_modifier': b'N'}}}) r(b'NSSimpleHorizontalTypesetter', b'layoutGlyphsInLayoutManager:startingAtGlyphIndex:maxNumberOfLineFragments:nextGlyphIndex:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSSimpleHorizontalTypesetter', b'typesetterLaidOneGlyph:', {'arguments': {2: {'type': b'^{_NSTypesetterGlyphInfo={_NSPoint=ff}fffI@{_NSSize=ff}{_struct _NSTypesetterGlyphInfo::(anonymous at /Applications/Xcode-beta.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.10.sdk/System/Library/Frameworks/AppKit.framework/Headers/NSSimpleHorizontalTypesetter.h:58:5)=b1b1b1}{=b1b1b1}}', 'type_modifier': b'N'}}}) r(b'NSSimpleHorizontalTypesetter', b'willSetLineFragmentRect:forGlyphRange:usedRect:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}}}) r(b'NSSlider', b'acceptsFirstMouse:', {'retval': {'type': 'Z'}}) r(b'NSSlider', b'allowsTickMarkValuesOnly', {'retval': {'type': 'Z'}}) r(b'NSSlider', b'indexOfTickMarkAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSSlider', b'isVertical', {'retval': {'type': 'Z'}}) r(b'NSSlider', b'rectOfTickMarkAtIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSSlider', b'setAllowsTickMarkValuesOnly:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSlider', b'setVertical:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSlider', b'sliderWithValue:minValue:maxValue:target:action:', {'arguments': {6: {'sel_of_type': b'v@:@'}}}) r(b'NSSliderAccessory', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSSliderAccessory', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSliderAccessoryBehavior', b'behaviorWithHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSSliderCell', b'allowsTickMarkValuesOnly', {'retval': {'type': 'Z'}}) r(b'NSSliderCell', b'barRectFlipped:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSliderCell', b'drawBarInside:flipped:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}}}) r(b'NSSliderCell', b'drawKnob:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSliderCell', b'indexOfTickMarkAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSSliderCell', b'isVertical', {'retval': {'type': 'Z'}}) r(b'NSSliderCell', b'knobRectFlipped:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSSliderCell', b'prefersTrackingUntilMouseUp', {'retval': {'type': 'Z'}}) r(b'NSSliderCell', b'rectOfTickMarkAtIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'i', b'q')}}}) r(b'NSSliderCell', b'setAllowsTickMarkValuesOnly:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSliderCell', b'setVertical:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSliderCell', b'trackRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSSound', b'canInitWithPasteboard:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': '@'}}}) r(b'NSSound', b'initWithContentsOfFile:byReference:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSSound', b'initWithContentsOfURL:byReference:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSSound', b'isPlaying', {'retval': {'type': 'Z'}}) r(b'NSSound', b'loops', {'retval': {'type': 'Z'}}) r(b'NSSound', b'name', {'retval': {'type': '@'}}) r(b'NSSound', b'pause', {'retval': {'type': 'Z'}}) r(b'NSSound', b'play', {'retval': {'type': 'Z'}}) r(b'NSSound', b'resume', {'retval': {'type': 'Z'}}) r(b'NSSound', b'setLoops:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSound', b'setName:', {'retval': {'type': 'Z'}}) r(b'NSSound', b'stop', {'retval': {'type': 'Z'}}) r(b'NSSpeechRecognizer', b'blocksOtherRecognizers', {'retval': {'type': 'Z'}}) r(b'NSSpeechRecognizer', b'listensInForegroundOnly', {'retval': {'type': 'Z'}}) r(b'NSSpeechRecognizer', b'setBlocksOtherRecognizers:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSpeechRecognizer', b'setListensInForegroundOnly:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSpeechSynthesizer', b'isAnyApplicationSpeaking', {'retval': {'type': 'Z'}}) r(b'NSSpeechSynthesizer', b'isSpeaking', {'retval': {'type': 'Z'}}) r(b'NSSpeechSynthesizer', b'objectForProperty:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSSpeechSynthesizer', b'setObject:forProperty:error:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type_modifier': b'o'}}}) r(b'NSSpeechSynthesizer', b'setUsesFeedbackWindow:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSpeechSynthesizer', b'setVoice:', {'retval': {'type': 'Z'}}) r(b'NSSpeechSynthesizer', b'startSpeakingString:', {'retval': {'type': 'Z'}}) r(b'NSSpeechSynthesizer', b'startSpeakingString:toURL:', {'retval': {'type': 'Z'}}) r(b'NSSpeechSynthesizer', b'usesFeedbackWindow', {'retval': {'type': 'Z'}}) r(b'NSSpeechSynthesizer', b'voice', {'retval': {'type': '@'}}) r(b'NSSpellChecker', b'automaticallyIdentifiesLanguages', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'checkGrammarOfString:startingAt:language:wrap:inSpellDocumentWithTag:details:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {5: {'type': 'Z'}, 7: {'type_modifier': b'o'}}}) r(b'NSSpellChecker', b'checkSpellingOfString:startingAt:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSSpellChecker', b'checkSpellingOfString:startingAt:language:wrap:inSpellDocumentWithTag:wordCount:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {5: {'type': 'Z'}, 7: {'type_modifier': b'o'}}}) r(b'NSSpellChecker', b'checkString:range:types:options:inSpellDocumentWithTag:orthography:wordCount:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 7: {'type_modifier': b'o'}, 8: {'type_modifier': b'o'}}}) r(b'NSSpellChecker', b'completionsForPartialWordRange:inString:language:inSpellDocumentWithTag:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSSpellChecker', b'deletesAutospaceBetweenString:andString:language:', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'hasLearnedWord:', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'isAutomaticCapitalizationEnabled', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'isAutomaticDashSubstitutionEnabled', {'retval': {'type': b'Z'}}) r(b'NSSpellChecker', b'isAutomaticPeriodSubstitutionEnabled', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'isAutomaticQuoteSubstitutionEnabled', {'retval': {'type': b'Z'}}) r(b'NSSpellChecker', b'isAutomaticSpellingCorrectionEnabled', {'retval': {'type': b'Z'}}) r(b'NSSpellChecker', b'isAutomaticTextCompletionEnabled', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'isAutomaticTextReplacementEnabled', {'retval': {'type': b'Z'}}) r(b'NSSpellChecker', b'preventsAutocorrectionBeforeString:language:', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'requestCandidatesForSelectedRange:inString:types:options:inSpellDocumentWithTag:completionHandler:', {'arguments': {7: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}, 2: {'type': b'@'}}}}}}) r(b'NSSpellChecker', b'requestCheckingOfString:range:types:options:inSpellDocumentWithTag:completionHandler:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 7: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}, 2: {'type': b'@'}, 3: {'type': b'@'}, 4: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSSpellChecker', b'setAutomaticallyIdentifiesLanguages:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSpellChecker', b'setLanguage:', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'sharedSpellCheckerExists', {'retval': {'type': 'Z'}}) r(b'NSSpellChecker', b'showCorrectionIndicatorOfType:primaryString:alternativeStrings:forStringInRect:view:completionHandler:', {'arguments': {7: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}}}}}}) r(b'NSSpellChecker', b'unlearnWord:', {'arguments': {2: {'type': '@'}}}) r(b'NSSplitView', b'arrangesAllSubviews', {'retval': {'type': 'Z'}}) r(b'NSSplitView', b'drawDividerInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSSplitView', b'isPaneSplitter', {'retval': {'type': 'Z'}}) r(b'NSSplitView', b'isSpringLoaded', {'retval': {'type': 'Z'}}) r(b'NSSplitView', b'isSubviewCollapsed:', {'retval': {'type': 'Z'}}) r(b'NSSplitView', b'isVertical', {'retval': {'type': 'Z'}}) r(b'NSSplitView', b'setArrangesAllSubviews:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSplitView', b'setIsPaneSplitter:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSplitView', b'setVertical:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSSplitViewController', b'splitView:canCollapseSubview:', {'retval': {'type': b'Z'}}) r(b'NSSplitViewController', b'splitView:shouldCollapseSubview:forDoubleClickOnDividerAtIndex:', {'retval': {'type': b'Z'}}) r(b'NSSplitViewController', b'splitView:shouldHideDividerAtIndex:', {'retval': {'type': b'Z'}}) r(b'NSSplitViewController', b'validateUserInterfaceItem:', {'retval': {'type': 'Z'}}) r(b'NSSplitViewItem', b'canCollapse', {'retval': {'type': b'Z'}}) r(b'NSSplitViewItem', b'isCollapsed', {'retval': {'type': b'Z'}}) r(b'NSSplitViewItem', b'isSpringLoaded', {'retval': {'type': 'Z'}}) r(b'NSSplitViewItem', b'setCanCollapse:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSplitViewItem', b'setCollapsed:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSSplitViewItem', b'setSpringLoaded:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStackView', b'detachesHiddenViews', {'retval': {'type': 'Z'}}) r(b'NSStackView', b'hasEqualSpacing', {'retval': {'type': b'Z'}}) r(b'NSStackView', b'setDetachesHiddenViews:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStackView', b'setHasEqualSpacing:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSStatusBar', b'isVertical', {'retval': {'type': 'Z'}}) r(b'NSStatusBarButton', b'appearsDisabled', {'retval': {'type': b'Z'}}) r(b'NSStatusBarButton', b'setAppearsDisabled:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSStatusItem', b'drawStatusBarBackgroundInRect:withHighlight:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}}}) r(b'NSStatusItem', b'highlightMode', {'retval': {'type': 'Z'}}) r(b'NSStatusItem', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSStatusItem', b'isVisible', {'retval': {'type': 'Z'}}) r(b'NSStatusItem', b'setAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSStatusItem', b'setDoubleAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSStatusItem', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStatusItem', b'setHighlightMode:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStatusItem', b'setVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStepper', b'autorepeat', {'retval': {'type': 'Z'}}) r(b'NSStepper', b'setAutorepeat:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStepper', b'setValueWraps:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStepper', b'valueWraps', {'retval': {'type': 'Z'}}) r(b'NSStepperCell', b'autorepeat', {'retval': {'type': 'Z'}}) r(b'NSStepperCell', b'setAutorepeat:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStepperCell', b'setValueWraps:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSStepperCell', b'valueWraps', {'retval': {'type': 'Z'}}) r(b'NSStoryboardSegue', b'initWithIdentifier:source:destination:performHandler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSStoryboardSegue', b'performHandler', {'retval': {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}) r(b'NSStoryboardSegue', b'segueWithIdentifier:source:destination:performHandler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSStoryboardSegue', b'setPerformHandler:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSString', b'boundingRectWithSize:options:attributes:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSString', b'drawAtPoint:withAttributes:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSString', b'drawInRect:withAttributes:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSString', b'drawWithRect:options:attributes:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSString', b'sizeWithAttributes:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSTabView', b'allowsTruncatedLabels', {'retval': {'type': 'Z'}}) r(b'NSTabView', b'contentRect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSTabView', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSTabView', b'minimumSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSTabView', b'setAllowsTruncatedLabels:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTabView', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTabView', b'tabViewItemAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTabViewController', b'canPropagateSelectedChildViewControllerTitle', {'retval': {'type': b'Z'}}) r(b'NSTabViewController', b'setCanPropagateSelectedChildViewControllerTitle:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTabViewController', b'tabView:shouldSelectTabViewItem:', {'retval': {'type': b'Z'}}) r(b'NSTabViewController', b'toolbar:itemForItemIdentifier:willBeInsertedIntoToolbar:', {'arguments': {4: {'type': b'Z'}}}) r(b'NSTabViewItem', b'drawLabel:inRect:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTabViewItem', b'sizeOfLabel:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {2: {'type': 'Z'}}}) r(b'NSTableColumn', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSTableColumn', b'isHidden', {'retval': {'type': 'Z'}}) r(b'NSTableColumn', b'isResizable', {'retval': {'type': 'Z'}}) r(b'NSTableColumn', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableColumn', b'setHidden:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableColumn', b'setResizable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableHeaderCell', b'drawSortIndicatorWithFrame:inView:ascending:priority:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': 'Z'}}}) r(b'NSTableHeaderCell', b'sortIndicatorRectForBounds:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableHeaderView', b'columnAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTableHeaderView', b'headerRectOfColumn:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSTableRowView', b'isEmphasized', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'isFloating', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'isGroupRowStyle', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'isNextRowSelected', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'isPreviousRowSelected', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'isSelected', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'isTargetForDropOperation', {'retval': {'type': b'Z'}}) r(b'NSTableRowView', b'setEmphasized:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableRowView', b'setFloating:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableRowView', b'setGroupRowStyle:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableRowView', b'setNextRowSelected:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableRowView', b'setPreviousRowSelected:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableRowView', b'setSelected:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableRowView', b'setTargetForDropOperation:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableView', b'allowsColumnReordering', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'allowsColumnResizing', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'allowsColumnSelection', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'allowsEmptySelection', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'allowsMultipleSelection', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'allowsTypeSelect', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'autoresizesAllColumnsToFit', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'autosaveTableColumns', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'canDragRowsWithIndexes:atPoint:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTableView', b'columnAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTableView', b'columnIndexesInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'columnsInRect:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'dragImageForRows:event:dragImageOffset:', {'arguments': {4: {'type_modifier': b'N'}}}) r(b'NSTableView', b'dragImageForRowsWithIndexes:tableColumns:event:offset:', {'arguments': {5: {'type_modifier': b'N'}}}) r(b'NSTableView', b'drawBackgroundInClipRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'drawGridInClipRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'drawRow:clipRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'drawsGrid', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'editColumn:row:withEvent:select:', {'arguments': {5: {'type': 'Z'}}}) r(b'NSTableView', b'enumerateAvailableRowViewsUsingBlock:', {'arguments': {2: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSTableView', b'floatsGroupRows', {'retval': {'type': b'Z'}}) r(b'NSTableView', b'frameOfCellAtColumn:row:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSTableView', b'highlightSelectionInClipRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'intercellSpacing', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSTableView', b'isColumnSelected:', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'isRowSelected:', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'rectOfColumn:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSTableView', b'rectOfRow:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSTableView', b'rowActionsVisible', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'rowAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTableView', b'rowViewAtRow:makeIfNecessary:', {'arguments': {3: {'type': b'Z'}}}) r(b'NSTableView', b'rowsInRect:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTableView', b'selectColumn:byExtendingSelection:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSTableView', b'selectColumnIndexes:byExtendingSelection:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSTableView', b'selectRow:byExtendingSelection:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSTableView', b'selectRowIndexes:byExtendingSelection:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSTableView', b'setAllowsColumnReordering:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAllowsColumnResizing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAllowsColumnSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAllowsEmptySelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAllowsMultipleSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAllowsTypeSelect:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAutoresizesAllColumnsToFit:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setAutosaveTableColumns:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setDoubleAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSTableView', b'setDraggingSourceOperationMask:forLocal:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSTableView', b'setDrawsGrid:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setFloatsGroupRows:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableView', b'setIntercellSpacing:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSTableView', b'setRowActionsVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setUsesAlternatingRowBackgroundColors:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setUsesAutomaticRowHeights:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'setUsesStaticContents:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTableView', b'setVerticalMotionCanBeginDrag:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTableView', b'shouldFocusCell:atColumn:row:', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'textShouldBeginEditing:', {'retval': {'type': b'Z'}}) r(b'NSTableView', b'textShouldEndEditing:', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'usesAlternatingRowBackgroundColors', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'usesAutomaticRowHeights', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'usesStaticContents', {'retval': {'type': b'Z'}}) r(b'NSTableView', b'verticalMotionCanBeginDrag', {'retval': {'type': 'Z'}}) r(b'NSTableView', b'viewAtColumn:row:makeIfNecessary:', {'arguments': {4: {'type': b'Z'}}}) r(b'NSText', b'RTFDFromRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'RTFFromRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSText', b'importsGraphics', {'retval': {'type': 'Z'}}) r(b'NSText', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSText', b'isFieldEditor', {'retval': {'type': 'Z'}}) r(b'NSText', b'isHorizontallyResizable', {'retval': {'type': 'Z'}}) r(b'NSText', b'isRichText', {'retval': {'type': 'Z'}}) r(b'NSText', b'isRulerVisible', {'retval': {'type': 'Z'}}) r(b'NSText', b'isSelectable', {'retval': {'type': 'Z'}}) r(b'NSText', b'isVerticallyResizable', {'retval': {'type': 'Z'}}) r(b'NSText', b'maxSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSText', b'minSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSText', b'readRTFDFromFile:', {'retval': {'type': 'Z'}}) r(b'NSText', b'replaceCharactersInRange:withRTF:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'replaceCharactersInRange:withRTFD:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'replaceCharactersInRange:withString:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'scrollRangeToVisible:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'selectedRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSText', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setFieldEditor:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setFont:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'setHorizontallyResizable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setImportsGraphics:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setMaxSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSText', b'setMinSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSText', b'setRichText:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setSelectable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setSelectedRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'setTextColor:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSText', b'setUsesFontPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'setVerticallyResizable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSText', b'usesFontPanel', {'retval': {'type': 'Z'}}) r(b'NSText', b'writeRTFDToFile:atomically:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': 'Z'}}}) r(b'NSTextBlock', b'boundsRectForContentRect:inRect:textContainer:characterRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextBlock', b'drawBackgroundWithFrame:inView:characterRange:layoutManager:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextBlock', b'rectForLayoutAtPoint:inRect:textContainer:characterRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextContainer', b'containerSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSTextContainer', b'containsPoint:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTextContainer', b'heightTracksTextView', {'retval': {'type': 'Z'}}) r(b'NSTextContainer', b'initWithContainerSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSTextContainer', b'isSimpleRectangularTextContainer', {'retval': {'type': 'Z'}}) r(b'NSTextContainer', b'lineFragmentRectForProposedRect:atIndex:writingDirection:remainingRect', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSTextContainer', b'lineFragmentRectForProposedRect:atIndex:writingDirection:remainingRect:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSTextContainer', b'lineFragmentRectForProposedRect:sweepDirection:movementDirection:remainingRect:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type_modifier': b'o'}}}) r(b'NSTextContainer', b'setContainerSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSTextContainer', b'setHeightTracksTextView:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextContainer', b'setWidthTracksTextView:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextContainer', b'widthTracksTextView', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'acceptsFirstResponder', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'allowsCharacterPickerTouchBarItem', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'allowsDefaultTighteningForTruncation', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'allowsEditingTextAttributes', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'importsGraphics', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'isAutomaticTextCompletionEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'isBezeled', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'isBordered', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'isSelectable', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'setAllowsCharacterPickerTouchBarItem:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setAllowsDefaultTighteningForTruncation:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setAllowsEditingTextAttributes:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setAutomaticTextCompletionEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setBezeled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setBordered:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setImportsGraphics:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setSelectable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextField', b'setTextColor:', {'arguments': {2: {'type': '@'}}}) r(b'NSTextField', b'textShouldBeginEditing:', {'retval': {'type': 'Z'}}) r(b'NSTextField', b'textShouldEndEditing:', {'retval': {'type': 'Z'}}) r(b'NSTextFieldCell', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSTextFieldCell', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextFieldCell', b'setWantsNotificationForMarkedText:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextFinder', b'findIndicatorNeedsUpdate', {'retval': {'type': b'Z'}}) r(b'NSTextFinder', b'incrementalSearchingShouldDimContentView', {'retval': {'type': b'Z'}}) r(b'NSTextFinder', b'isIncrementalSearchingEnabled', {'retval': {'type': b'Z'}}) r(b'NSTextFinder', b'setFindIndicatorNeedsUpdate:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextFinder', b'setIncrementalSearchingEnabled:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextFinder', b'setIncrementalSearchingShouldDimContentView:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextFinder', b'validateAction:', {'retval': {'type': b'Z'}}) r(b'NSTextInputContext', b'acceptsGlyphInfo', {'retval': {'type': 'Z'}}) r(b'NSTextInputContext', b'handleEvent:', {'retval': {'type': 'Z'}}) r(b'NSTextInputContext', b'setAcceptsGlyphInfo:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextStorage', b'edited:range:changeInLength:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextStorage', b'editedRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTextStorage', b'ensureAttributesAreFixedInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextStorage', b'fixesAttributesLazily', {'retval': {'type': 'Z'}}) r(b'NSTextStorage', b'invalidateAttributesInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextTable', b'boundsRectForBlock:contentRect:inRect:textContainer:characterRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextTable', b'collapsesBorders', {'retval': {'type': 'Z'}}) r(b'NSTextTable', b'drawBackgroundForBlock:withFrame:inView:characterRange:layoutManager:', {'retval': {'type': 'v'}, 'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextTable', b'hidesEmptyCells', {'retval': {'type': 'Z'}}) r(b'NSTextTable', b'rectForBlock:layoutAtPoint:inRect:textContainer:characterRange:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 6: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextTable', b'setCollapsesBorders:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextTable', b'setHidesEmptyCells:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'acceptsGlyphInfo', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'allowsCharacterPickerTouchBarItem', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'allowsDocumentBackgroundColorChange', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'allowsImageEditing', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'allowsUndo', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'characterIndexForInsertionAtPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTextView', b'completionsForPartialWordRange:indexOfSelectedItem:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSTextView', b'displaysLinkToolTips', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'dragImageForSelectionWithEvent:origin:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSTextView', b'dragSelectionWithEvent:offset:slideBack:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 4: {'type': 'Z'}}}) r(b'NSTextView', b'drawInsertionPointInRect:color:turnedOn:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': 'Z'}}}) r(b'NSTextView', b'drawViewBackgroundInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTextView', b'drawsBackground', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'importsGraphics', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'initWithFrame:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTextView', b'initWithFrame:textContainer:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTextView', b'insertCompletion:forPartialWordRange:movement:isFinal:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': 'Z'}}}) r(b'NSTextView', b'isAutomaticDashSubstitutionEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isAutomaticDataDetectionEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isAutomaticLinkDetectionEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isAutomaticQuoteSubstitutionEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isAutomaticSpellingCorrectionEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isAutomaticTextReplacementEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isCoalescingUndo', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isContinuousSpellCheckingEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isEditable', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isFieldEditor', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isGrammarCheckingEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isIncrementalSearchingEnabled', {'retval': {'type': b'Z'}}) r(b'NSTextView', b'isRichText', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isRulerVisible', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'isSelectable', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'rangeForUserCharacterAttributeChange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTextView', b'rangeForUserCompletion', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTextView', b'rangeForUserParagraphAttributeChange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTextView', b'rangeForUserTextChange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTextView', b'readSelectionFromPasteboard:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'readSelectionFromPasteboard:type:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'rulerView:shouldAddMarker:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'rulerView:shouldMoveMarker:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'rulerView:shouldRemoveMarker:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'rulerView:willMoveMarker:toLocation:', {'retval': {'type': sel32or64(b'f', b'd')}, 'arguments': {4: {'type': sel32or64(b'f', b'd')}}}) r(b'NSTextView', b'selectionRangeForProposedRange:granularity:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'setAcceptsGlyphInfo:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAlignment:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'setAllowsCharacterPickerTouchBarItem:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAllowsDocumentBackgroundColorChange:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAllowsImageEditing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAllowsUndo:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAutomaticDashSubstitutionEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAutomaticDataDetectionEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAutomaticLinkDetectionEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAutomaticQuoteSubstitutionEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAutomaticSpellingCorrectionEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setAutomaticTextReplacementEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setBaseWritingDirection:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'setConstrainedFrameSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSTextView', b'setContinuousSpellCheckingEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setDisplaysLinkToolTips:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setDrawsBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setEditable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setFieldEditor:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setGrammarCheckingEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setImportsGraphics:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setIncrementalSearchingEnabled:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextView', b'setNeedsDisplayInRect:avoidAdditionalLayout:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}}}) r(b'NSTextView', b'setRichText:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setRulerVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setSelectable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setSelectedRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'setSelectedRange:affinity:stillSelecting:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': 'Z'}}}) r(b'NSTextView', b'setSelectedRanges:affinity:stillSelecting:', {'arguments': {4: {'type': 'Z'}}}) r(b'NSTextView', b'setSmartInsertDeleteEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setSpellingState:range:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'setTextContainerInset:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSTextView', b'setUsesFindBar:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextView', b'setUsesFindPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setUsesFontPanel:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'setUsesInspectorBar:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextView', b'setUsesRolloverButtonForSelection:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSTextView', b'setUsesRuler:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'shouldChangeTextInRange:replacementString:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'shouldChangeTextInRanges:replacementStrings:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'shouldDrawInsertionPoint', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'showFindIndicatorForRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'smartDeleteRangeForProposedRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'smartInsertAfterStringForString:replacingRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'smartInsertBeforeStringForString:replacingRange:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTextView', b'smartInsertDeleteEnabled', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'smartInsertForString:replacingRange:beforeString:afterString:', {'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type_modifier': b'o'}, 5: {'type_modifier': b'o'}}}) r(b'NSTextView', b'stronglyReferencesTextStorage', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'textContainerInset', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSTextView', b'textContainerOrigin', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSTextView', b'updateInsertionPointStateAndRestartTimer:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTextView', b'usesFindBar', {'retval': {'type': b'Z'}}) r(b'NSTextView', b'usesFindPanel', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'usesFontPanel', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'usesInspectorBar', {'retval': {'type': b'Z'}}) r(b'NSTextView', b'usesRolloverButtonForSelection', {'retval': {'type': b'Z'}}) r(b'NSTextView', b'usesRuler', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'writeSelectionToPasteboard:type:', {'retval': {'type': 'Z'}}) r(b'NSTextView', b'writeSelectionToPasteboard:types:', {'retval': {'type': 'Z'}}) r(b'NSTitlebarAccessoryViewController', b'isHidden', {'retval': {'type': 'Z'}}) r(b'NSTitlebarAccessoryViewController', b'setHidden:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbar', b'allowsExtensionItems', {'retval': {'type': b'Z'}}) r(b'NSToolbar', b'allowsUserCustomization', {'retval': {'type': 'Z'}}) r(b'NSToolbar', b'autosavesConfiguration', {'retval': {'type': 'Z'}}) r(b'NSToolbar', b'customizationPaletteIsRunning', {'retval': {'type': 'Z'}}) r(b'NSToolbar', b'isVisible', {'retval': {'type': 'Z'}}) r(b'NSToolbar', b'setAllowsExtensionItems:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSToolbar', b'setAllowsUserCustomization:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbar', b'setAutosavesConfiguration:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbar', b'setShowsBaselineSeparator:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbar', b'setVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbar', b'showsBaselineSeparator', {'retval': {'type': 'Z'}}) r(b'NSToolbarItem', b'allowsDuplicatesInToolbar', {'retval': {'type': 'Z'}}) r(b'NSToolbarItem', b'autovalidates', {'retval': {'type': 'Z'}}) r(b'NSToolbarItem', b'isEnabled', {'retval': {'type': 'Z'}}) r(b'NSToolbarItem', b'maxSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSToolbarItem', b'minSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSToolbarItem', b'setAction:', {'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSToolbarItem', b'setAutovalidates:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbarItem', b'setEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSToolbarItem', b'setMaxSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSToolbarItem', b'setMinSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSTouch', b'deviceSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSTouch', b'isResting', {'retval': {'type': 'Z'}}) r(b'NSTouchBar', b'isVisible', {'retval': {'type': 'Z'}}) r(b'NSTouchBar', b'setVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTouchBarItem', b'isVisible', {'retval': {'type': 'Z'}}) r(b'NSTouchBarItem', b'setVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTrackingArea', b'initWithRect:options:owner:userInfo:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTrackingArea', b'rect', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSTreeController', b'addSelectionIndexPaths:', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'alwaysUsesMultipleValuesMarker', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'avoidsEmptySelection', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'canAddChild', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'canInsert', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'canInsertChild', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'preservesSelection', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'removeSelectionIndexPaths:', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'selectsInsertedObjects', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'setAlwaysUsesMultipleValuesMarker:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTreeController', b'setAvoidsEmptySelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTreeController', b'setPreservesSelection:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTreeController', b'setSelectionIndexPath:', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'setSelectionIndexPaths:', {'retval': {'type': 'Z'}}) r(b'NSTreeController', b'setSelectsInsertedObjects:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTreeNode', b'isLeaf', {'retval': {'type': 'Z'}}) r(b'NSTreeNode', b'sortWithSortDescriptors:recursively:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSTypesetter', b'bidiProcessingEnabled', {'retval': {'type': 'Z'}}) r(b'NSTypesetter', b'boundingBoxForControlGlyphAtIndex:forTextContainer:proposedLineFragment:glyphPosition:characterIndex:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 6: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSTypesetter', b'characterRangeForGlyphRange:actualGlyphRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSTypesetter', b'deleteGlyphsInRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'endLineWithGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'getGlyphsInRange:glyphs:characterIndexes:glyphInscriptions:elasticBits:bidiLevels:', {'retval': {'type': sel32or64(b'I', b'Q')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 4: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 5: {'type_modifier': b'o', 'c_array_length_in_arg': 2}, 6: {'type': '^Z', 'type_modifier': b'o', 'c_array_length_in_arg': 2}, 7: {'type': '^C', 'type_modifier': b'o', 'c_array_length_in_arg': 2}}}) r(b'NSTypesetter', b'getLineFragmentRect:usedRect:forParagraphSeparatorGlyphRange:atProposedOrigin:', {'arguments': {2: {'type_modifier': b'o'}, 3: {'type_modifier': b'o'}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 5: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSTypesetter', b'getLineFragmentRect:usedRect:remainingRect:forStartingGlyphAtIndex:proposedRect:lineSpacing:paragraphSpacingBefore:paragraphSpacingAfter:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 3: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 6: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTypesetter', b'glyphRangeForCharacterRange:actualCharacterRange:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'o'}}}) r(b'NSTypesetter', b'layoutCharactersInRange:forLayoutManager:maximumNumberOfLineFragments:', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'layoutGlyphsInLayoutManager:startingAtGlyphIndex:maxNumberOfLineFragments:nextGlyphIndex:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSTypesetter', b'layoutParagraphAtPoint:', {'arguments': {2: {'type_modifier': b'N'}}}) r(b'NSTypesetter', b'lineSpacingAfterGlyphAtIndex:withProposedLineFragmentRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTypesetter', b'paragraphCharacterRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTypesetter', b'paragraphGlyphRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTypesetter', b'paragraphSeparatorCharacterRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTypesetter', b'paragraphSeparatorGlyphRange', {'retval': {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}) r(b'NSTypesetter', b'paragraphSpacingAfterGlyphAtIndex:withProposedLineFragmentRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTypesetter', b'paragraphSpacingBeforeGlyphAtIndex:withProposedLineFragmentRect:', {'arguments': {3: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTypesetter', b'printingAdjustmentInLayoutManager:forNominallySpacedGlyphRange:packedGlyphs:count:', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 'arguments': {3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'c_array_delimited_by_null': True, 'type': '^v', 'type_modifier': b'n', 'c_array_length_in_arg': 5}}}) r(b'NSTypesetter', b'setAttachmentSize:forGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setBidiLevels:forGlyphRange:', {'arguments': {2: {'type': '^z', 'type_modifier': b'n', 'c_array_length_in_arg': 3}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setBidiProcessingEnabled:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTypesetter', b'setDrawsOutsideLineFragment:forGlyphRange:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setHardInvalidation:forGlyphRange:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setLineFragmentRect:forGlyphRange:usedRect:baselineOffset:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSTypesetter', b'setLocation:withAdvancements:forStartOfGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 4}, 4: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setNotShownAttribute:forGlyphRange:', {'arguments': {2: {'type': 'Z'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setParagraphGlyphRange:separatorGlyphRange:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}}}) r(b'NSTypesetter', b'setUsesFontLeading:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSTypesetter', b'shouldBreakLineByHyphenatingBeforeCharacterAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSTypesetter', b'shouldBreakLineByWordBeforeCharacterAtIndex:', {'retval': {'type': 'Z'}, 'arguments': {2: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSTypesetter', b'substituteGlyphsInRange:withGlyphs:', {'arguments': {2: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 3: {'type_modifier': b'n', 'c_array_length_in_arg': 2}}}) r(b'NSTypesetter', b'usesFontLeading', {'retval': {'type': 'Z'}}) r(b'NSTypesetter', b'willSetLineFragmentRect:forGlyphRange:usedRect:baselineOffset:', {'arguments': {2: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 3: {'type': sel32or64(b'{_NSRange=II}', b'{_NSRange=QQ}')}, 4: {'type': sel32or64(b'^{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'^{CGRect={CGPoint=dd}{CGSize=dd}}'), 'type_modifier': b'N'}, 5: {'type': sel32or64(b'^f', b'^d'), 'type_modifier': b'N'}}}) r(b'NSUndoManager', b'groupsByEvent', {'retval': {'type': 'Z'}}) r(b'NSUndoManager', b'setGroupsByEvent:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSUserDefaultsController', b'appliesImmediately', {'retval': {'type': 'Z'}}) r(b'NSUserDefaultsController', b'hasUnappliedChanges', {'retval': {'type': 'Z'}}) r(b'NSUserDefaultsController', b'setAppliesImmediately:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSUserInterfaceCompressionOptions', b'containsOptions:', {'retval': {'type': 'Z'}}) r(b'NSUserInterfaceCompressionOptions', b'intersectsOptions:', {'retval': {'type': 'Z'}}) r(b'NSUserInterfaceCompressionOptions', b'isEmpty', {'retval': {'type': 'Z'}}) r(b'NSUserInterfaceCompressionOptions', b'setEmpty:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSView', b'acceptsFirstMouse:', {'retval': {'type': 'Z'}}) r(b'NSView', b'acceptsTouchEvents', {'retval': {'type': 'Z'}}) r(b'NSView', b'addCursorRect:cursor:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSView', b'addToolTipRect:owner:userData:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': '^v'}}}) r(b'NSView', b'addTrackingRect:owner:userData:assumeInside:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 4: {'type': '^v'}, 5: {'type': 'Z'}}}) r(b'NSView', b'adjustPageHeightNew:top:bottom:limit:', {'arguments': {2: {'type_modifier': b'o'}}}) r(b'NSView', b'adjustPageWidthNew:left:right:limit:', {'arguments': {2: {'type_modifier': b'o'}}}) r(b'NSView', b'adjustScroll:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSView', b'alignmentRectInsets', {'retval': {'type': sel32or64(b'{NSEdgeInsets=ffff}', b'{NSEdgeInsets=dddd}')}}) r(b'NSView', b'allowsVibrancy', 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{'type': 'Z'}}) r(b'NSView', b'wantsExtendedDynamicRangeOpenGLSurface', {'retval': {'type': 'Z'}}) r(b'NSView', b'wantsLayer', {'retval': {'type': 'Z'}}) r(b'NSView', b'wantsRestingTouches', {'retval': {'type': 'Z'}}) r(b'NSView', b'wantsUpdateLayer', {'retval': {'type': b'Z'}}) r(b'NSView', b'writeEPSInsideRect:toPasteboard:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSView', b'writePDFInsideRect:toPasteboard:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSViewController', b'commitEditing', {'retval': {'type': 'Z'}}) r(b'NSViewController', b'commitEditingWithDelegate:didCommitSelector:contextInfo:', {'arguments': {3: {'type': ':', 'sel_of_type': b'v@:@Z^v'}, 4: {'type': '^v'}}}) r(b'NSViewController', b'isViewLoaded', {'retval': {'type': b'Z'}}) r(b'NSViewController', b'transitionFromViewController:toViewController:options:completionHandler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}}}}}}) r(b'NSVisualEffectView', b'isEmphasized', {'retval': {'type': 'Z'}}) r(b'NSVisualEffectView', b'setEmphasized:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'acceptsMouseMovedEvents', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'allowsAutomaticWindowTabbing', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'allowsConcurrentViewDrawing', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'allowsToolTipsWhenApplicationIsInactive', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'animationResizeTime:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'areCursorRectsEnabled', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'aspectRatio', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'autorecalculatesContentBorderThicknessForEdge:', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'autorecalculatesKeyViewLoop', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'beginCriticalSheet:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSWindow', b'beginSheet:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': sel32or64(b'i', b'q')}}}}}}) r(b'NSWindow', b'cacheImageInRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'canBeVisibleOnAllSpaces', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'canBecomeKeyWindow', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'canBecomeMainWindow', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'canBecomeVisibleWithoutLogin', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'canHide', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'canRepresentDisplayGamut:', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'canStoreColor', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'cascadeTopLeftFromPoint:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWindow', b'contentAspectRatio', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'contentMaxSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'contentMinSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'contentRectForFrameRect:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'contentRectForFrameRect:styleMask:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSWindow', b'contentResizeIncrements', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'convertBaseToScreen:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWindow', b'convertScreenToBase:', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWindow', b'dataWithEPSInsideRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'dataWithPDFInsideRect:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'displaysWhenScreenProfileChanges', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'dragImage:at:offset:event:pasteboard:source:slideBack:', {'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}, 8: {'type': 'Z'}}}) r(b'NSWindow', b'fieldEditor:forObject:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'frame', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}) r(b'NSWindow', b'frameRectForContentRect:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'frameRectForContentRect:styleMask:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': sel32or64(b'I', b'Q')}}}) r(b'NSWindow', b'hasCloseBox', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'hasDynamicDepthLimit', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'hasShadow', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'hasTitleBar', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'hidesOnDeactivate', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'ignoresMouseEvents', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'inLiveResize', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'initWithContentRect:styleMask:backing:defer:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': 'Z'}}}) r(b'NSWindow', b'initWithContentRect:styleMask:backing:defer:screen:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 5: {'type': 'Z'}}}) r(b'NSWindow', b'initWithWindowRef:', {'arguments': {2: {'type': '^{OpaqueWindowPtr=}'}}}) r(b'NSWindow', b'isAutodisplay', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isDocumentEdited', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isExcludedFromWindowsMenu', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isFloatingPanel', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isFlushWindowDisabled', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isKeyWindow', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isMainWindow', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isMiniaturizable', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isMiniaturized', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isModalPanel', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isMovable', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isMovableByWindowBackground', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isOnActiveSpace', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isOneShot', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isOpaque', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isReleasedWhenClosed', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isResizable', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isRestorable', {'retval': {'type': b'Z'}}) r(b'NSWindow', b'isSheet', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isVisible', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isZoomable', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'isZoomed', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'makeFirstResponder:', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'maxSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'minSize', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'mouseLocationOutsideOfEventStream', {'retval': {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}) r(b'NSWindow', b'nextEventMatchingMask:untilDate:inMode:dequeue:', {'arguments': {5: {'type': 'Z'}}}) r(b'NSWindow', b'onstrainFrameRect:toScreen:', {'retval': {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}}}) r(b'NSWindow', b'postEvent:atStart:', {'arguments': {3: {'type': 'Z'}}}) r(b'NSWindow', b'preservesContentDuringLiveResize', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'preventsApplicationTerminationWhenModal', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'resizeIncrements', {'retval': {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}) r(b'NSWindow', b'setAcceptsMouseMovedEvents:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setAllowsAutomaticWindowTabbing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setAllowsConcurrentViewDrawing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setAllowsToolTipsWhenApplicationIsInactive:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setAspectRatio:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setAutodisplay:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setAutorecalculatesContentBorderThickness:forEdge:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setAutorecalculatesKeyViewLoop:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setCanBeVisibleOnAllSpaces:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setCanBecomeVisibleWithoutLogin:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setCanHide:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setContentAspectRatio:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setContentMaxSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setContentMinSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setContentResizeIncrements:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setContentSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setDisplaysWhenScreenProfileChanges:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setDocumentEdited:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setDynamicDepthLimit:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setExcludedFromWindowsMenu:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setFrame:display:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}}}) r(b'NSWindow', b'setFrame:display:animate:', {'arguments': {2: {'type': sel32or64(b'{_NSRect={_NSPoint=ff}{_NSSize=ff}}', b'{CGRect={CGPoint=dd}{CGSize=dd}}')}, 3: {'type': 'Z'}, 4: {'type': 'Z'}}}) r(b'NSWindow', b'setFrameAutosaveName:', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'setFrameOrigin:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWindow', b'setFrameTopLeftPoint:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWindow', b'setFrameUsingName:', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'setFrameUsingName:force:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': 'Z'}}}) r(b'NSWindow', b'setHasShadow:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setHidesOnDeactivate:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setIgnoresMouseEvents:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setIsMiniaturized:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setIsVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setIsZoomed:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setMaxSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setMinSize:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setMovable:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setMovableByWindowBackground:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setOneShot:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setOpaque:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setPreservesContentDuringLiveResize:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setPreventsApplicationTerminationWhenModal:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setReleasedWhenClosed:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setResizeIncrements:', {'arguments': {2: {'type': sel32or64(b'{_NSSize=ff}', b'{CGSize=dd}')}}}) r(b'NSWindow', b'setRestorable:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSWindow', b'setShowsResizeIndicator:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setShowsToolbarButton:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'setTitlebarAppearsTransparent:', {'arguments': {2: {'type': b'Z'}}}) r(b'NSWindow', b'setViewsNeedDisplay:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'showsResizeIndicator', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'showsToolbarButton', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'titlebarAppearsTransparent', {'retval': {'type': b'Z'}}) r(b'NSWindow', b'trackEventsMatchingMask:timeout:mode:handler:', {'arguments': {5: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'o^Z'}}}}}}) r(b'NSWindow', b'tryToPerform:with:', {'retval': {'type': 'Z'}, 'arguments': {2: {'sel_of_type': b'v@:@'}}}) r(b'NSWindow', b'useOptimizedDrawing:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindow', b'viewsNeedDisplay', {'retval': {'type': 'Z'}}) r(b'NSWindow', b'windowNumberAtPoint:belowWindowWithNumber:', {'arguments': {2: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWindow', b'windowRef', {'retval': {'type': '^{OpaqueWindowPtr=}'}}) r(b'NSWindow', b'worksWhenModal', {'retval': {'type': 'Z'}}) r(b'NSWindowController', b'isWindowLoaded', {'retval': {'type': 'Z'}}) r(b'NSWindowController', b'setDocumentEdited:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindowController', b'setShouldCascadeWindows:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindowController', b'setShouldCloseDocument:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindowController', b'shouldCascadeWindows', {'retval': {'type': 'Z'}}) r(b'NSWindowController', b'shouldCloseDocument', {'retval': {'type': 'Z'}}) r(b'NSWindowTabGroup', b'isOverviewVisible', {'retval': {'type': 'Z'}}) r(b'NSWindowTabGroup', b'isTabBarVisible', {'retval': {'type': 'Z'}}) r(b'NSWindowTabGroup', b'setOverviewVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWindowTabGroup', b'setTabBarVisible:', {'arguments': {2: {'type': 'Z'}}}) r(b'NSWorkspace', b'accessibilityDisplayShouldDifferentiateWithoutColor', {'retval': {'type': b'Z'}}) r(b'NSWorkspace', b'accessibilityDisplayShouldIncreaseContrast', {'retval': {'type': b'Z'}}) r(b'NSWorkspace', b'accessibilityDisplayShouldInvertColors', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'accessibilityDisplayShouldReduceMotion', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'accessibilityDisplayShouldReduceTransparency', {'retval': {'type': b'Z'}}) r(b'NSWorkspace', b'duplicateURLs:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}}}}) r(b'NSWorkspace', b'fileSystemChanged', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'filenameExtension:isValidForType:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'getFileSystemInfoForPath:isRemovable:isWritable:isUnmountable:description:type:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': '^Z', 'type_modifier': b'o'}, 4: {'type': '^Z', 'type_modifier': b'o'}, 5: {'type': '^Z', 'type_modifier': b'o'}, 6: {'type_modifier': b'o'}, 7: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'getInfoForFile:application:type:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type_modifier': b'o'}, 4: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'isFilePackageAtPath:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'isSwitchControlEnabled', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'isVoiceOverEnabled', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'launchAppWithBundleIdentifier:options:additionalEventParamDescriptor:launchIdentifier:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'launchApplication:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'launchApplication:showIcon:autolaunch:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type': 'Z'}, 4: {'type': 'Z'}}}) r(b'NSWorkspace', b'launchApplicationAtURL:options:configuration:error:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'openFile:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'openFile:fromImage:at:inView:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWorkspace', b'openFile:withApplication:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'openFile:withApplication:andDeactivate:', {'retval': {'type': 'Z'}, 'arguments': {4: {'type': 'Z'}}}) r(b'NSWorkspace', b'openTempFile:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'openURL:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'openURL:options:configuration:error:', {'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'openURLs:withAppBundleIdentifier:options:additionalEventParamDescriptor:launchIdentifiers:', {'retval': {'type': 'Z'}, 'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'openURLs:withApplicationAtURL:options:configuration:error:', {'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'performFileOperation:source:destination:files:tag:', {'retval': {'type': 'Z'}, 'arguments': {6: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'recycleURLs:completionHandler:', {'arguments': {3: {'callable': {'retval': {'type': b'v'}, 'arguments': {0: {'type': b'^v'}, 1: {'type': b'@'}, 2: {'type': b'@'}}}}}}) r(b'NSWorkspace', b'selectFile:inFileViewerRootedAtPath:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'setDesktopImageURL:forScreen:options:error:', {'retval': {'type': 'Z'}, 'arguments': {5: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'setIcon:forFile:options:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'showSearchResultsForQueryString:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'slideImage:from:to:', {'retval': {'type': 'v'}, 'arguments': {3: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}, 4: {'type': sel32or64(b'{_NSPoint=ff}', b'{CGPoint=dd}')}}}) r(b'NSWorkspace', b'type:conformsToType:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'typeOfFile:error:', {'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'unmountAndEjectDeviceAtPath:', {'retval': {'type': 'Z'}}) r(b'NSWorkspace', b'unmountAndEjectDeviceAtURL:error:', {'retval': {'type': 'Z'}, 'arguments': {3: {'type_modifier': b'o'}}}) r(b'NSWorkspace', b'userDefaultsChanged', {'retval': {'type': 'Z'}}) finally: objc._updatingMetadata(False) protocols={'NSSavePanelDelegateDeprecated': objc.informal_protocol('NSSavePanelDelegateDeprecated', [objc.selector(None, b'panel:compareFilename:with:caseSensitive:', sel32or64(b'i@:@@@Z', b'q@:@@@Z'), isRequired=False), objc.selector(None, b'panel:directoryDidChange:', b'v@:@@', isRequired=False), objc.selector(None, b'panel:shouldShowFilename:', b'Z@:@@', isRequired=False), objc.selector(None, b'panel:isValidFilename:', b'Z@:@@', isRequired=False)]), 'NSAccessibilityAdditions': objc.informal_protocol('NSAccessibilityAdditions', [objc.selector(None, b'accessibilitySetOverrideValue:forAttribute:', b'Z@:@@', isRequired=False)]), 'NSApplicationScriptingDelegation': objc.informal_protocol('NSApplicationScriptingDelegation', [objc.selector(None, b'application:delegateHandlesKey:', b'Z@:@@', isRequired=False)]), 'NSNibAwaking': objc.informal_protocol('NSNibAwaking', [objc.selector(None, b'awakeFromNib', b'v@:', isRequired=False), objc.selector(None, b'prepareForInterfaceBuilder', b'v@:', isRequired=False)]), 'NSToolTipOwner': objc.informal_protocol('NSToolTipOwner', [objc.selector(None, b'view:stringForToolTip:point:userData:', sel32or64(b'@@:@i{_NSPoint=ff}^v', b'@@:@q{CGPoint=dd}^v'), isRequired=False)]), 'NSDraggingDestination': objc.informal_protocol('NSDraggingDestination', [objc.selector(None, b'wantsPeriodicDraggingUpdates', b'Z@:', isRequired=False), objc.selector(None, b'draggingExited:', b'v@:@', isRequired=False), objc.selector(None, b'draggingEnded:', b'v@:@', isRequired=False), objc.selector(None, b'concludeDragOperation:', b'v@:@', isRequired=False), objc.selector(None, b'performDragOperation:', b'Z@:@', isRequired=False), objc.selector(None, b'draggingEntered:', sel32or64(b'I@:@', b'Q@:@'), isRequired=False), objc.selector(None, b'prepareForDragOperation:', b'Z@:@', isRequired=False), objc.selector(None, b'draggingUpdated:', sel32or64(b'I@:@', b'Q@:@'), isRequired=False)]), 'NSOutlineViewNotifications': objc.informal_protocol('NSOutlineViewNotifications', [objc.selector(None, b'outlineViewItemWillExpand:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewSelectionDidChange:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewSelectionIsChanging:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewColumnDidResize:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewItemWillCollapse:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewItemDidExpand:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewColumnDidMove:', b'v@:@', isRequired=False), objc.selector(None, b'outlineViewItemDidCollapse:', b'v@:@', isRequired=False)]), 'NSDraggingSource': objc.informal_protocol('NSDraggingSource', [objc.selector(None, b'namesOfPromisedFilesDroppedAtDestination:', b'@@:@', isRequired=False), objc.selector(None, b'draggedImage:endedAt:operation:', sel32or64(b'v@:@{_NSPoint=ff}I', b'v@:@{CGPoint=dd}Q'), isRequired=False), objc.selector(None, b'draggedImage:beganAt:', sel32or64(b'v@:@{_NSPoint=ff}', b'v@:@{CGPoint=dd}'), isRequired=False), objc.selector(None, b'draggingSourceOperationMaskForLocal:', sel32or64(b'I@:Z', b'Q@:Z'), isRequired=False), objc.selector(None, b'draggedImage:movedTo:', sel32or64(b'v@:@{_NSPoint=ff}', b'v@:@{CGPoint=dd}'), isRequired=False), objc.selector(None, b'ignoreModifierKeysWhileDragging', b'Z@:', isRequired=False)]), 'NSPasteboardOwner': objc.informal_protocol('NSPasteboardOwner', [objc.selector(None, b'pasteboard:provideDataForType:', b'v@:@@', isRequired=False), objc.selector(None, b'pasteboardChangedOwner:', b'v@:@', isRequired=False)]), 'NSAccessibility': objc.informal_protocol('NSAccessibility', [objc.selector(None, b'accessibilityAttributeValue:', b'@@:@', isRequired=False), objc.selector(None, b'accessibilityParameterizedAttributeNames', b'@@:', isRequired=False), objc.selector(None, b'accessibilityArrayAttributeCount:', sel32or64(b'I@:@', b'Q@:@'), isRequired=False), objc.selector(None, b'accessibilityIsAttributeSettable:', b'Z@:@', isRequired=False), objc.selector(None, b'accessibilityAttributeValue:forParameter:', b'@@:@@', isRequired=False), objc.selector(None, b'accessibilityArrayAttributeValues:index:maxCount:', sel32or64(b'@@:@II', b'@@:@QQ'), isRequired=False), objc.selector(None, b'accessibilityActionNames', b'@@:', isRequired=False), objc.selector(None, b'accessibilityAttributeNames', b'@@:', isRequired=False), objc.selector(None, b'accessibilityNotifiesWhenDestroyed', b'Z@:', isRequired=False), objc.selector(None, b'accessibilityIndexOfChild:', sel32or64(b'I@:@', b'Q@:@'), isRequired=False), objc.selector(None, b'accessibilityPerformAction:', b'v@:@', isRequired=False), objc.selector(None, b'accessibilityIsIgnored', b'Z@:', isRequired=False), objc.selector(None, b'accessibilityActionDescription:', b'@@:@', isRequired=False), objc.selector(None, b'accessibilityHitTest:', sel32or64(b'@@:{_NSPoint=ff}', b'@@:{CGPoint=dd}'), isRequired=False), objc.selector(None, b'accessibilitySetValue:forAttribute:', b'v@:@@', isRequired=False), objc.selector(None, b'accessibilityFocusedUIElement', b'@@:', isRequired=False)]), 'NSRulerMarkerClientViewDelegation': objc.informal_protocol('NSRulerMarkerClientViewDelegation', [objc.selector(None, b'rulerView:didRemoveMarker:', b'v@:@@', isRequired=False), objc.selector(None, b'rulerView:shouldRemoveMarker:', b'Z@:@@', isRequired=False), objc.selector(None, b'rulerView:shouldMoveMarker:', b'Z@:@@', isRequired=False), objc.selector(None, b'rulerView:locationForPoint:', sel32or64(b'f@:@{_NSPoint=ff}', b'd@:@{CGPoint=dd}'), isRequired=False), objc.selector(None, b'rulerView:willAddMarker:atLocation:', sel32or64(b'f@:@@f', b'd@:@@d'), isRequired=False), objc.selector(None, b'rulerView:didMoveMarker:', b'v@:@@', isRequired=False), objc.selector(None, b'rulerView:pointForLocation:', sel32or64(b'{_NSPoint=ff}@:@f', b'{CGPoint=dd}@:@d'), isRequired=False), objc.selector(None, b'rulerView:handleMouseDown:', b'v@:@@', isRequired=False), objc.selector(None, b'rulerView:willMoveMarker:toLocation:', sel32or64(b'f@:@@f', b'd@:@@d'), isRequired=False), objc.selector(None, b'rulerView:didAddMarker:', b'v@:@@', isRequired=False), objc.selector(None, b'rulerView:shouldAddMarker:', b'Z@:@@', isRequired=False), objc.selector(None, b'rulerView:willSetClientView:', b'v@:@@', isRequired=False)]), 'NSFontPanelValidationAdditions': objc.informal_protocol('NSFontPanelValidationAdditions', [objc.selector(None, b'validModesForFontPanel:', sel32or64(b'I@:@', b'Q@:@'), isRequired=False)]), 'NSToolbarItemValidation': objc.informal_protocol('NSToolbarItemValidation', [objc.selector(None, b'validateToolbarItem:', b'Z@:@', isRequired=False)]), 'NSKeyValueBindingCreation': objc.informal_protocol('NSKeyValueBindingCreation', [objc.selector(None, b'bind:toObject:withKeyPath:options:', b'v@:@@@@', isRequired=False), objc.selector(None, b'exposeBinding:', b'v@:@', isRequired=False), objc.selector(None, b'valueClassForBinding:', b'#@:@', isRequired=False), objc.selector(None, b'unbind:', b'v@:@', isRequired=False), objc.selector(None, b'infoForBinding:', b'@@:@', isRequired=False), objc.selector(None, b'exposedBindings', b'@@:', isRequired=False), objc.selector(None, b'optionDescriptionsForBinding:', b'@@:@', isRequired=False)]), 'NSDictionaryControllerKeyValuePair': objc.informal_protocol('NSDictionaryControllerKeyValuePair', [objc.selector(None, b'setKey:', b'v@:@', isRequired=False), objc.selector(None, b'setLocalizedKey:', b'v@:@', isRequired=False), objc.selector(None, b'value', b'@@:', isRequired=False), objc.selector(None, b'isExplicitlyIncluded', b'Z@:', isRequired=False), objc.selector(None, b'setValue:', b'v@:@', isRequired=False), objc.selector(None, b'key', b'@@:', isRequired=False), objc.selector(None, b'localizedKey', b'@@:', isRequired=False)]), 'NSEditor': objc.informal_protocol('NSEditor', [objc.selector(None, b'discardEditing', b'v@:', isRequired=False), objc.selector(None, b'commitEditing', b'Z@:', isRequired=False), objc.selector(None, b'commitEditingWithDelegate:didCommitSelector:contextInfo:', b'v@:@:^v', isRequired=False), objc.selector(None, b'commitEditingAndReturnError:', b'Z@:^@', isRequired=False)]), 'NSFontManagerDelegate': objc.informal_protocol('NSFontManagerDelegate', [objc.selector(None, b'fontManager:willIncludeFont:', b'Z@:@@', isRequired=False)]), 'NSControlSubclassNotifications': objc.informal_protocol('NSControlSubclassNotifications', [objc.selector(None, b'controlTextDidChange:', b'v@:@', isRequired=False), objc.selector(None, b'controlTextDidBeginEditing:', b'v@:@', isRequired=False), objc.selector(None, b'controlTextDidEndEditing:', b'v@:@', isRequired=False)]), 'NSServicesRequests': objc.informal_protocol('NSServicesRequests', [objc.selector(None, b'readSelectionFromPasteboard:', b'Z@:@', isRequired=False), objc.selector(None, b'writeSelectionToPasteboard:types:', b'Z@:@@', isRequired=False)]), 'NSTableViewDataSourceDeprecated': objc.informal_protocol('NSTableViewDataSourceDeprecated', [objc.selector(None, b'tableView:writeRows:toPasteboard:', b'Z@:@@@', isRequired=False)]), 'NSPlaceholders': objc.informal_protocol('NSPlaceholders', [objc.selector(None, b'setDefaultPlaceholder:forMarker:withBinding:', b'v@:@@@', isRequired=False), objc.selector(None, b'defaultPlaceholderForMarker:withBinding:', b'@@:@@', isRequired=False)]), 'NSDraggingSourceDeprecated': objc.informal_protocol('NSDraggingSourceDeprecated', [objc.selector(None, b'namesOfPromisedFilesDroppedAtDestination:', b'@@:@', isRequired=False), objc.selector(None, b'draggedImage:endedAt:operation:', sel32or64(b'v@:@{_NSPoint=ff}I', b'v@:@{CGPoint=dd}Q'), isRequired=False), objc.selector(None, b'draggedImage:beganAt:', sel32or64(b'v@:@{_NSPoint=ff}', b'v@:@{CGPoint=dd}'), isRequired=False), objc.selector(None, b'draggedImage:endedAt:deposited:', sel32or64(b'v@:@{_NSPoint=ff}Z', b'v@:@{CGPoint=dd}Z'), isRequired=False), objc.selector(None, b'draggingSourceOperationMaskForLocal:', sel32or64(b'I@:Z', b'Q@:Z'), isRequired=False), objc.selector(None, b'draggedImage:movedTo:', sel32or64(b'v@:@{_NSPoint=ff}', b'v@:@{CGPoint=dd}'), isRequired=False), objc.selector(None, b'ignoreModifierKeysWhileDragging', b'Z@:', isRequired=False)]), 'NSColorPanelResponderMethod': objc.informal_protocol('NSColorPanelResponderMethod', [objc.selector(None, b'changeColor:', b'v@:@', isRequired=False)]), 'NSMenuValidation': objc.informal_protocol('NSMenuValidation', [objc.selector(None, b'validateMenuItem:', b'Z@:@', isRequired=False)]), 'NSEditorRegistration': objc.informal_protocol('NSEditorRegistration', [objc.selector(None, b'objectDidEndEditing:', b'v@:@', isRequired=False), objc.selector(None, b'objectDidBeginEditing:', b'v@:@', isRequired=False)]), 'NSFontManagerResponderMethod': objc.informal_protocol('NSFontManagerResponderMethod', [objc.selector(None, b'changeFont:', b'v@:@', isRequired=False)]), 'NSLayerDelegateContentsScaleUpdating': objc.informal_protocol('NSLayerDelegateContentsScaleUpdating', [objc.selector(None, b'layer:shouldInheritContentsScale:fromWindow:', sel32or64(b'Z@:@f@', b'Z@:@d@'), isRequired=False)])} expressions = {} # END OF FILE

162.236347

52,520

0.67534

be6c2ea60ae296724425cc76b9dd32e523369860

5,257

py

Python

pynautobot/core/api.py

Thetacz/pynautobot

4e1033eb952d7eb3fbc699be8e103f594a174cd7

[ "Apache-2.0" ]

10

2021-02-24T23:52:09.000Z

2022-03-03T18:28:39.000Z

pynautobot/core/api.py

Thetacz/pynautobot

4e1033eb952d7eb3fbc699be8e103f594a174cd7

[ "Apache-2.0" ]

23

2021-03-01T17:33:23.000Z

2022-03-22T14:02:39.000Z

pynautobot/core/api.py

Thetacz/pynautobot

4e1033eb952d7eb3fbc699be8e103f594a174cd7

[ "Apache-2.0" ]

9

2021-02-25T04:36:44.000Z

2021-11-30T01:29:02.000Z

""" (c) 2017 DigitalOcean Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. This file has been modified by NetworktoCode, LLC. """ import sys import requests from pynautobot.core.query import Request from pynautobot.core.app import App, PluginsApp from pynautobot.core.graphql import GraphQLQuery class Api(object): """The API object is the point of entry to pynautobot. After instantiating the Api() with the appropriate named arguments you can specify which app and endpoint you wish to interact with. Valid attributes currently are: * dcim * ipam * circuits * tenancy * extras * virtualization * users Calling any of these attributes will return :py:class:`.App` which exposes endpoints as attributes. **Additional Attributes**: * **http_session(requests.Session)**: Override the default session with your own. This is used to control a number of HTTP behaviors such as SSL verification, custom headers, retires, and timeouts. See `custom sessions <advanced.html#custom-sessions>`__ for more info. :param str url: The base URL to the instance of Nautobot you wish to connect to. :param str token: Your Nautobot token. :param bool,optional threading: Set to True to use threading in ``.all()`` and ``.filter()`` requests. :raises AttributeError: If app doesn't exist. :Examples: >>> import pynautobot >>> nb = pynautobot.api( ... 'http://localhost:8000', ... token='d6f4e314a5b5fefd164995169f28ae32d987704f' ... ) >>> nb.dcim.devices.all() """ def __init__( self, url, token=None, threading=False, ): base_url = "{}/api".format(url if url[-1] != "/" else url[:-1]) self.token = token self.headers = {"Authorization": f"Token {self.token}"} self.base_url = base_url self.http_session = requests.Session() self.threading = threading self.dcim = App(self, "dcim") self.ipam = App(self, "ipam") self.circuits = App(self, "circuits") self.tenancy = App(self, "tenancy") self.extras = App(self, "extras") self.virtualization = App(self, "virtualization") self.users = App(self, "users") self.plugins = PluginsApp(self) self.graphql = GraphQLQuery(self) @property def version(self): """Gets the API version of Nautobot. Can be used to check the Nautobot API version if there are version-dependent features or syntaxes in the API. :Returns: Version number as a string. :Example: >>> import pynautobot >>> nb = pynautobot.api( ... 'http://localhost:8000', ... token='d6f4e314a5b5fefd164995169f28ae32d987704f' ... ) >>> nb.version '1.0' >>> """ version = Request(base=self.base_url, http_session=self.http_session,).get_version() return version def openapi(self): """Returns the OpenAPI spec. Quick helper function to pull down the entire OpenAPI spec. :Returns: dict :Example: >>> import pynautobot >>> nb = pynautobot.api( ... 'http://localhost:8000', ... token='d6f4e314a5b5fefd164995169f28ae32d987704f' ... ) >>> nb.openapi() {...} >>> """ return Request(base=self.base_url, http_session=self.http_session,).get_openapi() def status(self): """Gets the status information from Nautobot. Available in Nautobot 2.10.0 or newer. :Returns: Dictionary as returned by Nautobot. :Raises: :py:class:`.RequestError` if the request is not successful. :Example: >>> pprint.pprint(nb.status()) {'django-version': '3.1.3', 'installed-apps': {'cacheops': '5.0.1', 'debug_toolbar': '3.1.1', 'django_filters': '2.4.0', 'django_prometheus': '2.1.0', 'django_rq': '2.4.0', 'django_tables2': '2.3.3', 'drf_yasg': '1.20.0', 'mptt': '0.11.0', 'rest_framework': '3.12.2', 'taggit': '1.3.0', 'timezone_field': '4.0'}, 'nautobot-version': '1.0.0', 'plugins': {}, 'python-version': '3.7.3', 'rq-workers-running': 1} >>> """ status = Request(base=self.base_url, token=self.token, http_session=self.http_session,).get_status() return status

33.062893

108

0.584364

27a154c840a3b2a7d4b50b3cff11e2433d4637f4

2,832

py

Python

handler.py

stijm/j2lsnek

b7a2779bd812ef9c7477e44058b2d033e04d7b1b

[ "MIT" ]

null

handler.py

stijm/j2lsnek

b7a2779bd812ef9c7477e44058b2d033e04d7b1b

[ "MIT" ]

null

handler.py

stijm/j2lsnek

b7a2779bd812ef9c7477e44058b2d033e04d7b1b

[ "MIT" ]

null

import abc import enum import time from jj2.protocol import TCP from jj2.snek import config from jj2.snek.utils import query class Port(enum.IntEnum): BINARY_LIST = 10053 SERVER_NET = 10056 REMOTE_ADMIN = SSL = 10059 class PortHandler(metaclass=abc.ABCMeta): """ Generic data handler: receives data from a socket and processes it handle_data() method is to be defined by descendant classes, which will be called from the listener loop """ buffer = bytearray() locked = False def __init__(self, client, address, server_list): """ Check if all data is available and assign object vars :param client: Socket through which the client is connected :param address: Address (tuple with IP and connection port) :param ls: List server object, for logging etc """ self.client = client self.connection = self.client.create_connection(address) self.key = str(self.connection) self.ip, self.port = self.connection.address self.server_list = server_list self.waiter = self.client.loop.create_future() @abc.abstractmethod async def handle_data(self): pass def halt(self): """ Halt handler Most handlers don't need to do anything for halting, but some may be looping or maintaining connections, in which case this method can be used to properly end that. :return: """ self.waiter.set_result(True) async def send(self, string): """ Send text message to connection For ascii server list etc, and error messages :param string: Text message, will be encoded as ascii :return: Return result of socket.sendall() """ await self.connection.send_raw(string.encode("ascii"), TCP) async def error_msg(self, string): """ Just msg() with a warning before the message :param string: Error message to send :return: Return result of self.msg() """ await self.send("/!\ GURU MEDITATION /!\ " + string) async def acknowledge(self): """ Just msg() but with a standardised ACK-message :return: Return result of self.msg() """ await self.send("ACK") def close(self): """ End the connection: close the socket :return: Return result of socket.close() """ self.client.close() @staticmethod def cleanup(): """ Housekeeping Not critical, but should be called before some user-facing actions (e.g. retrieving server lists) :return: """ query( "DELETE FROM servers " "WHERE remote = 1 AND lifesign < ?", (int(time.time()) - config.TIMEOUT,) )

27.764706

115

0.61476

7fb849ca980c614ef0d0f6cd6cd0562dbb79ae66

12,350

py

Python

defender/lib/cli.py

dfrtz/project-defender

18635da511af03b5adb7f2cf6332be6127ed10f9

[ "Apache-2.0" ]

null

defender/lib/cli.py

dfrtz/project-defender

18635da511af03b5adb7f2cf6332be6127ed10f9

[ "Apache-2.0" ]

null

defender/lib/cli.py

dfrtz/project-defender

18635da511af03b5adb7f2cf6332be6127ed10f9

[ "Apache-2.0" ]

null

"""Shell access for primary application.""" import argparse import getpass from defender.lib import shells from defender.lib.secure import AuthTable class HostShell(shells.BaseShell): """An interactive shell class to control frontend and backend services for primary application. All parser commands are defined in this class and automatically called depending on user input. For example, if 'http logging' is entered by user, then http_logging(args) is called. Attributes: apid: An ApiServer which provides access to HTTP frontend and user authentication backend. mediad: A MediaServer which provides access to video and audio on the local device. """ def __init__(self) -> None: """Initializes the base shell with prefix and null daemons.""" super(HostShell, self).__init__('Defender> ') self.apid = None self.mediad = None def _get_cmd_list(self) -> list: """Creates a list of all commands that should autocomplete.""" commands = [ *['http logging info', 'http logging debug'], *['service http start', 'service http stop'], *['user add', 'user remove', 'user edit', 'user list'] ] return commands def _setup_parser(self) -> argparse.ArgumentParser: """Setup all subcommand parsers accessible to the end user.""" parser = argparse.ArgumentParser(prog='', description='Defense Monitoring System') # First level parsers parsers = parser.add_subparsers(title='Commands', dest='root') parsers.required = True parser_help = parsers.add_parser('help', help='List commands and functions') parser_http = parsers.add_parser('http', help='Modify HTTP subsystems') parser_service = parsers.add_parser('service', help='Control services') parser_user = parsers.add_parser('user', help='Modify user accounts') parser_exit = parsers.add_parser('exit', help='Exit program') # HTTP subparsers subparsers_http = parser_http.add_subparsers(title='Subsystems', dest='branch') subparsers_http.required = True subparser_http_debug = subparsers_http.add_parser('logging', help='HTTP/API logging configuration') subparser_http_debug.add_argument('level', help='Logging level', action='store', choices=['info', 'debug']) # Service subparsers subparsers_service = parser_service.add_subparsers(title='Services', dest='branch') subparsers_service.required = True subparser_service_video = subparsers_service.add_parser('audio', help='Audio service') subparser_service_video.add_argument('action', help='Audio Action', action='store', choices=['start', 'stop']) subparser_service_http = subparsers_service.add_parser('http', help='HTTP/API service') subparser_service_http.add_argument('action', help='HTTP Action', action='store', choices=['start', 'stop']) subparser_service_video = subparsers_service.add_parser('video', help='Video service') subparser_service_video.add_argument('action', help='Video Action', action='store', choices=['start', 'stop']) # User subparsers subparsers_user = parser_user.add_subparsers(title='Actions', dest='branch') subparsers_user.required = True subparser_user_list = subparsers_user.add_parser('list', help='List users in database') subparser_user_add = subparsers_user.add_parser('add', help='Add new user account') subparser_user_add.add_argument('username', help='User name', action='store') subparser_user_remove = subparsers_user.add_parser('remove', help='Remove existing user account') subparser_user_remove.add_argument('username', help='User name', action='store') subparser_user_edit = subparsers_user.add_parser('edit', help='Edit existing user account') subparser_user_edit.add_argument('username', help='User name', action='store') subparser_user_edit.add_argument('-p', '--password', help='Prompts for new user credentials.', action='store_true') # Exit subparsers parser_exit.add_argument('-f', '--force', help='Force shutdown', action='store_true', default=False) return parser def _show_banner(self) -> None: """Do not show any banner to the user.""" def exit_root(self, args: argparse.Namespace) -> bool: """Prevents premature exits from program. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True if the command was handled and should continue looping. False if exit is requested. """ cmd_handled = True try: if not args.force: response = input('Exit shell and shutdown all services? Y/n: ') if response.lower() == 'y': cmd_handled = False else: cmd_handled = False except EOFError: # CTRL+D intercept. print('') cmd_handled = False except KeyboardInterrupt: # CTRL+C intercept. print('') return cmd_handled def http_logging(self, args: argparse.Namespace) -> bool: """Changes the logging level of the HTTP/API service. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True level = args.level if level == 'debug': print('Warning: Enabling debugging will send additional output to console and logs, and restart the HTTP server.') if input('Do you wish to continue? Y/n: ').lower() == 'y': self.apid.set_debug(True) elif level == 'info': print('Warning: disabling debugging will restart the HTTP server.') if input('Do you wish to continue? Y/n: ').lower() == 'y': self.apid.set_debug(False) return cmd_handled def service_audio(self, args: argparse.Namespace) -> bool: """Changes the status of the Audio service. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True action = args.action if action == 'start': self.mediad.start_audio() elif action == 'stop': self.mediad.stop_audio() return cmd_handled def service_http(self, args: argparse.Namespace) -> bool: """Changes the status of the HTTP/API service. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True action = args.action if action == 'start': self.apid.start() elif action == 'stop': print('Warning: Stopping the HTTP service will prevent external access to commands, user shell will be required to restart.') if input('Do you wish to continue? Y/n: ').lower() == 'y': self.apid.shutdown() return cmd_handled def service_video(self, args: argparse.Namespace) -> bool: """Changes the status of the Video service. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True action = args.action if action == 'start': self.mediad.start_video() elif action == 'stop': self.mediad.stop_video() return cmd_handled def user_add(self, args: argparse.Namespace) -> bool: """Adds a new user configuration. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True user = args.username if self.apid.server.authenticator.get_user(user): print(f'{user} already exists. To modify user, use: user edit {user}') else: password1 = getpass.getpass(f'Enter password for {user}:') # TODO add check against simple Passwords password2 = getpass.getpass(f'Re-enter password for {user}:') if password1 != password2: print('Passwords do not match') else: self.apid.server.authenticator.add_user(user, password1) return cmd_handled def user_edit(self, args: argparse.Namespace) -> bool: """Edits a user's configuration. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True user = args.username # TODO Allow username change entry = self.apid.server.authenticator.get_user(user) if not entry: print(f'User {user} does not exist') else: password1 = getpass.getpass(f'Enter password for {user}:') # TODO add check against simple Passwords password2 = getpass.getpass(f'Re-enter password for {user}:') if password1 != password2: print('Passwords do not match') else: entry[AuthTable.column_salt] = self.apid.server.authenticator.generate_salt() entry[AuthTable.column_pass] = self.apid.server.authenticator.encrypt( password1, entry[AuthTable.column_salt]) self.apid.server.authenticator.edit_user(user, entry) return cmd_handled def user_list(self, args: argparse.Namespace) -> bool: """Lists all users in the database. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True entries = self.apid.server.authenticator.get_users() if entries: users = '\n'.join([user['username'] for user in entries]) print(f'User list:\n{users}') return cmd_handled def user_remove(self, args: argparse.Namespace) -> bool: """Removes a user's configuration. This function is automatically called by self._execute_cmd() and should not be called manually. Args: args: User arguments from CLI. Returns: True to indicate the command was handled. """ cmd_handled = True user = args.username entry = self.apid.server.authenticator.get_user(user) if not entry: print(f'User {user} does not exist') else: print(f'Do you wish to revoke user {user}\'s access?') if input('Re-enter user\'s name to continue: ') == user: if self.apid.server.authenticator.remove_user(user): print(f'User {user} access revoked.') else: print(f'Could not revoke user {user} access. Please try again.') else: print('User confirmation did not match. Please try again.') return cmd_handled

41.722973

138

0.608016

32c46635de967ea39a6fba3227e432b344d6b152

917

py

Python

tests/protein/test_protein_sequence.py

bfabiandev/atom3d

b2499ff743be2e851c286cabf64696682abffa44

[ "MIT" ]

null

tests/protein/test_protein_sequence.py

bfabiandev/atom3d

b2499ff743be2e851c286cabf64696682abffa44

[ "MIT" ]

null

tests/protein/test_protein_sequence.py

bfabiandev/atom3d

b2499ff743be2e851c286cabf64696682abffa44

[ "MIT" ]

null

import pytest import numpy as np import pandas as pd import atom3d.datasets as da import atom3d.protein.sequence as seq def test_find_similar(): # TODO: write test for seq.find_similar() pass @pytest.mark.network def test_get_pdb_clusters_and_find_cluster_members(): id_level = 0.3 clusterings = seq.get_pdb_clusters(id_level, pdb_ids=None) pdb2cluster, cluster2pdb = clusterings for cluster in cluster2pdb.keys(): for pdb in cluster2pdb[cluster]: assert cluster in pdb2cluster[pdb] for pdb in pdb2cluster.keys(): seq.find_cluster_members(pdb, clusterings) @pytest.mark.network def test_get_chain_sequences(): dataset = da.load_dataset('tests/test_data/lmdb', 'lmdb') cseq = seq.get_chain_sequences(dataset[2]['atoms']) assert cseq[0][1] == 'NNQQ' def test_write_to_blast_db(): # TODO: write test for seq.write_to_blast_db() pass

26.970588

62

0.720829

7106bc05fa353999350ac1bb50f295fae3965fb9

7,699

py

Python

pyfiscal/generate.py

erickcasita/pyfiscal

a1c1a95027fe28401006f13643e49a7a9ee6087f

[ "MIT" ]

3

2020-03-23T18:45:42.000Z

2020-03-23T22:19:39.000Z

pyfiscal/generate.py

erickcasita/pyfiscal

a1c1a95027fe28401006f13643e49a7a9ee6087f

[ "MIT" ]

null

pyfiscal/generate.py

erickcasita/pyfiscal

a1c1a95027fe28401006f13643e49a7a9ee6087f

[ "MIT" ]

null

# -*- coding: utf-8 -*- import unicodedata from .base import BaseGenerator class GenerateRFC(BaseGenerator): key_value = 'rfc' DATA_REQUIRED = ('complete_name', 'last_name', 'mother_last_name', 'birth_date') partial_data = None def __init__(self, **kwargs): self.complete_name = kwargs.get('complete_name') self.last_name = kwargs.get('last_name') self.mother_last_name = kwargs.get('mother_last_name') self.birth_date = kwargs.get('birth_date') self.parse(complete_name=self.complete_name, last_name=self.last_name, mother_last_name=self.mother_last_name) self.partial_data = self.data_fiscal( complete_name=self.complete_name, last_name=self.last_name, mother_last_name=self.mother_last_name, birth_date=self.birth_date) def calculate(self): if self.mother_last_name is not None: complete_name = u"%s %s %s" % (self.last_name, self.mother_last_name, self.complete_name) else: complete_name = u"%s %s" % (self.last_name, self.complete_name) rfc = self.partial_data hc = self.homoclave(self.partial_data, complete_name) rfc += '%s' % hc rfc += self.verification_number(rfc) return rfc def remove_accents(self, s): if type(s) is str: s = u"%s" % s return ''.join((c for c in unicodedata.normalize('NFD', s) if unicodedata.category(c) != 'Mn')) def homoclave(self, rfc, complete_name): nombre_numero = '0' summary = 0 div = 0 mod = 0 rfc1 = { ' ':00, '&':10, 'Ñ':10, 'A':11, 'B':12, 'C':13, 'D':14, 'E':15, 'F':16, 'G':17, 'H':18, 'I':19, 'J':21, 'K':22, 'L':23, 'M':24, 'N':25, 'O':26, 'P':27, 'Q':28, 'R':29, 'S':32, 'T':33, 'U':34, 'V':35, 'W':36, 'X':37, 'Y':38, 'Z':39, '0':0, '1':1, '2':2, '3':3, '4':4, '5':5, '6':6, '7':7, '8':8,'9':9, } rfc2 = { 0:'1', 1:'2', 2:'3', 3:'4', 4:'5', 5:'6', 6:'7', 7:'8', 8:'9', 9:'A', 10:'B', 11:'C', 12:'D', 13:'E', 14:'F', 15:'G', 16:'H', 17:'I', 18:'J', 19:'K', 20:'L', 21:'M', 22:'N', 23:'P', 24:'Q', 25:'R', 26:'S', 27:'T', 28:'U', 29:'V', 30:'W', 31:'X', 32:'Y', } # Recorrer el nombre y convertir las letras en su valor numérico. for count in range(0, len(complete_name)): letra = self.remove_accents(complete_name[count]) nombre_numero += self.rfc_set(str(rfc1[letra]),'00') # La formula es: # El caracter actual multiplicado por diez mas el valor del caracter # siguiente y lo anterior multiplicado por el valor del caracter siguiente. for count in range(0,len(nombre_numero)-1): count2 = count+1 summary += ((int(nombre_numero[count])*10) + int(nombre_numero[count2])) * int(nombre_numero[count2]) div = summary % 1000 mod = div % 34 div = (div-mod)/34 homoclave = '' homoclave += self.rfc_set(rfc2[int(div)], 'Z') homoclave += self.rfc_set(rfc2[int(mod)], 'Z') return homoclave def verification_number(self, rfc): suma_numero = 0 suma_parcial = 0 digito = None rfc3 = { 'A':10, 'B':11, 'C':12, 'D':13, 'E':14, 'F':15, 'G':16, 'H':17, 'I':18, 'J':19, 'K':20, 'L':21, 'M':22, 'N':23, 'O':25, 'P':26, 'Q':27, 'R':28, 'S':29, 'T':30, 'U':31, 'V':32, 'W':33, 'X':34, 'Y':35, 'Z':36, '0':0, '1':1, '2':2, '3':3, '4':4, '5':5, '6':6, '7':7, '8':8, '9':9, '':24, ' ':37, } for count in range(0,len(rfc)): letra = rfc[count] if rfc3[letra]: suma_numero = rfc3[letra] suma_parcial += (suma_numero*(14-(count+1))) modulo = suma_parcial % 11 digito_parcial = (11-modulo) if modulo == 0: digito = '0' if digito_parcial == 10: digito = 'A' else: digito = str(digito_parcial) return digito def rfc_set(self, a, b): if a == b: return b else: return a @property def data(self): return self.calculate() class GenerateCURP(BaseGenerator): """ Generate CURP""" key_value = 'curp' partial_data = None DATA_REQUIRED = ( 'complete_name', 'last_name', 'mother_last_name', 'birth_date', 'gender', 'city', 'state_code' ) def __init__(self, **kwargs): self.complete_name = kwargs.get('complete_name') self.last_name = kwargs.get('last_name') self.mother_last_name = kwargs.get('mother_last_name', None) self.birth_date = kwargs.get('birth_date') self.gender = kwargs.get('gender') self.city = kwargs.get('city', None) self.state_code = kwargs.get('state_code') self.parse(complete_name=self.complete_name, last_name=self.last_name, mother_last_name=self.mother_last_name, city=self.city, state_code=self.state_code) self.partial_data = self.data_fiscal( complete_name=self.complete_name, last_name=self.last_name, mother_last_name=self.mother_last_name, birth_date=self.birth_date) def calculate(self): curp = self.partial_data statecode = self.state_code if self.city is not None: statecode = self.city_search(self.city) elif self.state_code is not None: statecode = self.state_code else: raise AttributeError("No such attribute: state_code") lastname = self.get_consonante(self.last_name) mslastname = self.get_consonante(self.mother_last_name) name = self.get_consonante(self.complete_name) year = self.get_year(self.birth_date) hc = self.homoclave(year) curp += '%s%s%s%s%s%s' % (self.gender, statecode, lastname, mslastname, name, hc) curp += self.check_digit(curp) return curp def homoclave(self, year): hc = '' if year < 2000: hc = '0' elif year >= 2000: hc = 'A' return hc def check_digit(self, curp): value = 0 summary = 0 checkers = { '0':0, '1':1, '2':2, '3':3, '4':4, '5':5, '6':6, '7':7, '8':8, '9':9, 'A':10, 'B':11, 'C':12, 'D':13, 'E':14, 'F':15, 'G':16, 'H':17, 'I':18, 'J':19, 'K':20, 'L':21, 'M':22, 'N':23, 'Ñ':24, 'O':25, 'P':26, 'Q':27, 'R':28, 'S':29, 'T':30, 'U':31, 'V':32, 'W':33, 'X':34, 'Y':35, 'Z':36 } count = 0 count2 = 18 for count in range(0,len(curp)): posicion = curp[count] for k, v in checkers.items(): if posicion == k: value = (v * count2) count2 = count2 - 1 summary = summary + value num_ver = summary % 10 # Residue num_ver = abs(10 - num_ver) #Returns the absolute value in case it is negative. if num_ver == 10: num_ver = 0 return str(num_ver) @property def data(self): return self.calculate() class GenerateNSS(BaseGenerator): """ class for CalculeNSS """ def __init__(self, nss): self.nss = nss def is_valid(self): validated = len(self.nss) if not validated is 11: # 11 dígitos y subdelegación válida return False sub_deleg = int(self.nss[0:2]) year = self.current_year() % 100 high_date = int(self.nss[2:4]) birth_date = int(self.nss[4:6]) if sub_deleg is not 97: if high_date <= year: high_date += 100 if birth_date <= year: birth_date += 100 if birth_date > high_date: print('Error: Se dio de alta antes de nacer.') return False return self._is_luhn_valid() def _is_luhn_valid(self): #example 4896889802135 """ Validate an entry with a check digit. """ num = list(map(int, str(self.nss))) return sum(num[::-2] + [sum(divmod(d * 2, 10)) for d in num[-2::-2]]) % 10 == 0 def _calculate_luhn(self): """ Calculation of said digit. """ num = list(map(int, str(self.nss))) check_digit = 10 - sum(num[-2::-2] + [sum(divmod(d * 2, 10)) for d in num[::-2]]) % 10 return 0 if check_digit == 10 else check_digit @property def data(self): return self._calculate_luhn() class GenericGeneration(object): _data = {} def __init__(self, **kwargs): self._datos = kwargs @property def data(self): for cls in self.generadores: data = cls.DATA_REQUIRED kargs = {key: self._datos[key] for key in data} gen = cls(**kargs) gen.calculate() self._data[gen.key_value] = gen.data return self._data

28.409594

104

0.627484

5a07165701a0df64f817dd17e723898a14a560cf

930

py

Python

days/01-03-datetimes/code/pomidor_timer.py

VladimirLind/100daysofcode-with-python-course

fb33fe552a38ea7f23cffe82a4d7184786661ee5

[ "MIT" ]

null

days/01-03-datetimes/code/pomidor_timer.py

VladimirLind/100daysofcode-with-python-course

fb33fe552a38ea7f23cffe82a4d7184786661ee5

[ "MIT" ]

null

days/01-03-datetimes/code/pomidor_timer.py

VladimirLind/100daysofcode-with-python-course

fb33fe552a38ea7f23cffe82a4d7184786661ee5

[ "MIT" ]

null

import click import datetime @click.command() @click.option('--work', prompt="Time to work", type=float, help='Time to work in minutes') @click.option('--relax', prompt="Time to relax", type=float, help='Time to relax in minutes') @click.option('--cycle', prompt="Number of cycles", type=int, help='Number of iterations to work/relax') def pomidor_timer(work, relax, cycle): for i in range(0, cycle): print("-"*40) timedelta(work, "work") print("-"*40) if i != (cycle - 1): timedelta(relax, "have a break") else: print("you are done!") def timedelta(time, action): delta = datetime.timedelta(seconds=time*60) now = datetime.datetime.today() future = now + delta print("time to {} for {} min".format(action, time)) while True: if datetime.datetime.today() > future: break if __name__ == '__main__': pomidor_timer()

31

104

0.617204

5532c6eedbf459f78c3b068113d8522f1fb43074

3,491

py

Python

huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_update_identity_provider_request.py

wuchen-huawei/huaweicloud-sdk-python-v3

3683d703f4320edb2b8516f36f16d485cff08fc2

[ "Apache-2.0" ]

1

2021-11-03T07:54:50.000Z

huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_update_identity_provider_request.py

wuchen-huawei/huaweicloud-sdk-python-v3

3683d703f4320edb2b8516f36f16d485cff08fc2

[ "Apache-2.0" ]

null

huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_update_identity_provider_request.py

wuchen-huawei/huaweicloud-sdk-python-v3

3683d703f4320edb2b8516f36f16d485cff08fc2

[ "Apache-2.0" ]

null

# coding: utf-8 import pprint import re import six class KeystoneUpdateIdentityProviderRequest: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'id': 'str', 'body': 'KeystoneUpdateIdentityProviderRequestBody' } attribute_map = { 'id': 'id', 'body': 'body' } def __init__(self, id=None, body=None): """KeystoneUpdateIdentityProviderRequest - a model defined in huaweicloud sdk""" self._id = None self._body = None self.discriminator = None self.id = id if body is not None: self.body = body @property def id(self): """Gets the id of this KeystoneUpdateIdentityProviderRequest. 待更新的身份提供商ID。 :return: The id of this KeystoneUpdateIdentityProviderRequest. :rtype: str """ return self._id @id.setter def id(self, id): """Sets the id of this KeystoneUpdateIdentityProviderRequest. 待更新的身份提供商ID。 :param id: The id of this KeystoneUpdateIdentityProviderRequest. :type: str """ self._id = id @property def body(self): """Gets the body of this KeystoneUpdateIdentityProviderRequest. :return: The body of this KeystoneUpdateIdentityProviderRequest. :rtype: KeystoneUpdateIdentityProviderRequestBody """ return self._body @body.setter def body(self, body): """Sets the body of this KeystoneUpdateIdentityProviderRequest. :param body: The body of this KeystoneUpdateIdentityProviderRequest. :type: KeystoneUpdateIdentityProviderRequestBody """ self._body = body def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, KeystoneUpdateIdentityProviderRequest): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

25.859259

88

0.561444

c8160f2e3786e7111c1b41931d9b1ca6ec566c3d

705

py

Python

aim/ext/exception_resistant.py

rubenaprikyan/aim

039ccb29ec7d14ebc384d671d8a96c54fb4d15e4

[ "Apache-2.0" ]

null

aim/ext/exception_resistant.py

rubenaprikyan/aim

039ccb29ec7d14ebc384d671d8a96c54fb4d15e4

[ "Apache-2.0" ]

null

aim/ext/exception_resistant.py

rubenaprikyan/aim

039ccb29ec7d14ebc384d671d8a96c54fb4d15e4

[ "Apache-2.0" ]

null

from functools import wraps def exception_resistant(func): num_fails = 0 max_fails = 6 @wraps(func) def wrapper(*args, **kwargs): nonlocal num_fails func_name = func.__name__ try: return func(*args, **kwargs) except Exception as e: num_fails += 1 if num_fails == 1: print('Something went wrong in `{}`. The process will continue to execute.'.format(func_name)) if num_fails <= max_fails: print('`{}`: {}'.format(func_name, e)) elif num_fails == max_fails + 1: print('The rest of the `{}` errors are hidden.'.format(func_name)) return wrapper

30.652174

110

0.560284

f423102f402dab38586c476ce77af24a0c85ea71

527

py

Python

env/Lib/site-packages/pangocffi/convert.py

kodelaben/manimce

fef4f1bd748d1cc8c1ade73e7561d4235dc253ca

[ "MIT" ]

1

2021-06-01T19:10:23.000Z

env/Lib/site-packages/pangocffi/convert.py

kodelaben/manimce

fef4f1bd748d1cc8c1ade73e7561d4235dc253ca

[ "MIT" ]

null

env/Lib/site-packages/pangocffi/convert.py

kodelaben/manimce

fef4f1bd748d1cc8c1ade73e7561d4235dc253ca

[ "MIT" ]

null

from . import pango def units_to_double(i: int) -> float: """ Converts a number in Pango units to floating-point: divides it by ``PANGO_SCALE``. :param i: value in Pango units """ return pango.pango_units_to_double(i) def units_from_double(d: float) -> int: """ Converts a floating-point number to Pango units: multiplies it by ``PANGO_SCALE`` and rounds to nearest integer. :param d: double floating-point value """ return pango.pango_units_from_double(d)

21.958333

69

0.656546

064b43b70108974cbbed095677493e3f107933f1

6,063

py

Python

Lib/test/test_unicode_file.py

Krrishdhaneja/cpython

9ae9ad8ba35cdcece7ded73cd2207e4f8cb85578

[ "0BSD" ]

1

2020-10-25T16:33:22.000Z

Lib/test/test_unicode_file.py

Krrishdhaneja/cpython

9ae9ad8ba35cdcece7ded73cd2207e4f8cb85578

[ "0BSD" ]

null

Lib/test/test_unicode_file.py

Krrishdhaneja/cpython

9ae9ad8ba35cdcece7ded73cd2207e4f8cb85578

[ "0BSD" ]

null

# Test some Unicode file name semantics # We don't test many operations on files other than # that their names can be used with Unicode characters. import os, glob, time, shutil import sys import unicodedata import unittest from test.support import run_unittest from test.support.os_helper import (rmtree, change_cwd, TESTFN_UNICODE, TESTFN_UNENCODABLE, create_empty_file) if not os.path.supports_unicode_filenames: try: TESTFN_UNICODE.encode(sys.getfilesystemencoding()) except (UnicodeError, TypeError): # Either the file system encoding is None, or the file name # cannot be encoded in the file system encoding. raise unittest.SkipTest("No Unicode filesystem semantics on this platform.") def remove_if_exists(filename): if os.path.exists(filename): os.unlink(filename) class TestUnicodeFiles(unittest.TestCase): # The 'do_' functions are the actual tests. They generally assume the # file already exists etc. # Do all the tests we can given only a single filename. The file should # exist. def _do_single(self, filename): self.assertTrue(os.path.exists(filename)) self.assertTrue(os.path.isfile(filename)) self.assertTrue(os.access(filename, os.R_OK)) self.assertTrue(os.path.exists(os.path.abspath(filename))) self.assertTrue(os.path.isfile(os.path.abspath(filename))) self.assertTrue(os.access(os.path.abspath(filename), os.R_OK)) os.chmod(filename, 0o777) os.utime(filename, None) os.utime(filename, (time.time(), time.time())) # Copy/rename etc tests using the same filename self._do_copyish(filename, filename) # Filename should appear in glob output self.assertTrue( os.path.abspath(filename)==os.path.abspath(glob.glob(glob.escape(filename))[0])) # basename should appear in listdir. path, base = os.path.split(os.path.abspath(filename)) file_list = os.listdir(path) # Normalize the unicode strings, as round-tripping the name via the OS # may return a different (but equivalent) value. base = unicodedata.normalize("NFD", base) file_list = [unicodedata.normalize("NFD", f) for f in file_list] self.assertIn(base, file_list) # Tests that copy, move, etc one file to another. def _do_copyish(self, filename1, filename2): # Should be able to rename the file using either name. self.assertTrue(os.path.isfile(filename1)) # must exist. os.rename(filename1, filename2 + ".new") self.assertFalse(os.path.isfile(filename2)) self.assertTrue(os.path.isfile(filename1 + '.new')) os.rename(filename1 + ".new", filename2) self.assertFalse(os.path.isfile(filename1 + '.new')) self.assertTrue(os.path.isfile(filename2)) shutil.copy(filename1, filename2 + ".new") os.unlink(filename1 + ".new") # remove using equiv name. # And a couple of moves, one using each name. shutil.move(filename1, filename2 + ".new") self.assertFalse(os.path.exists(filename2)) self.assertTrue(os.path.exists(filename1 + '.new')) shutil.move(filename1 + ".new", filename2) self.assertFalse(os.path.exists(filename2 + '.new')) self.assertTrue(os.path.exists(filename1)) # Note - due to the implementation of shutil.move, # it tries a rename first. This only fails on Windows when on # different file systems - and this test can't ensure that. # So we test the shutil.copy2 function, which is the thing most # likely to fail. shutil.copy2(filename1, filename2 + ".new") self.assertTrue(os.path.isfile(filename1 + '.new')) os.unlink(filename1 + ".new") self.assertFalse(os.path.exists(filename2 + '.new')) def _do_directory(self, make_name, chdir_name): if os.path.isdir(make_name): rmtree(make_name) os.mkdir(make_name) try: with change_cwd(chdir_name): cwd_result = os.getcwd() name_result = make_name cwd_result = unicodedata.normalize("NFD", cwd_result) name_result = unicodedata.normalize("NFD", name_result) self.assertEqual(os.path.basename(cwd_result),name_result) finally: os.rmdir(make_name) # The '_test' functions 'entry points with params' - ie, what the # top-level 'test' functions would be if they could take params def _test_single(self, filename): remove_if_exists(filename) create_empty_file(filename) try: self._do_single(filename) finally: os.unlink(filename) self.assertTrue(not os.path.exists(filename)) # and again with os.open. f = os.open(filename, os.O_CREAT) os.close(f) try: self._do_single(filename) finally: os.unlink(filename) # The 'test' functions are unittest entry points, and simply call our # _test functions with each of the filename combinations we wish to test def test_single_files(self): self._test_single(TESTFN_UNICODE) if TESTFN_UNENCODABLE is not None: self._test_single(TESTFN_UNENCODABLE) def test_directories(self): # For all 'equivalent' combinations: # Make dir with encoded, chdir with unicode, checkdir with encoded # (or unicode/encoded/unicode, etc ext = ".dir" self._do_directory(TESTFN_UNICODE+ext, TESTFN_UNICODE+ext) # Our directory name that can't use a non-unicode name. if TESTFN_UNENCODABLE is not None: self._do_directory(TESTFN_UNENCODABLE+ext, TESTFN_UNENCODABLE+ext) def test_main(): run_unittest(__name__) if __name__ == "__main__": test_main()

42.104167

93

0.640442

9567bde113f0edc93bc9de92ce172ce0c8c261a3

379

py

Python

Tweet_Media.py

wolfdale/T-Bot

ceb4e6becf276592bf36f068dba59134e14bb4f0

[ "MIT" ]

null

Tweet_Media.py

wolfdale/T-Bot

ceb4e6becf276592bf36f068dba59134e14bb4f0

[ "MIT" ]

null

Tweet_Media.py

wolfdale/T-Bot

ceb4e6becf276592bf36f068dba59134e14bb4f0

[ "MIT" ]

null

import tweepy import os import sys ckey= ' ' csecret= ' ' atoken=' ' asecret= ' ' auth = tweepy.OAuthHandler(ckey,csecret) #Authenticating with twitter auth.set_access_token(atoken,asecret) #Access tokens api = tweepy.API(auth) #Performing Auth filename = os.path.abspath(sys.argv[1]) status = sys.argv[2] print "Posting Now" api.update_with_media(filename,status=status)

21.055556

69

0.74934

22344229a0d369d629b26db64d1ead7698d6e87f

123

py

Python

kiqpo/core/jsLib/alert.py

bionic-py/Bionic

a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4

[ "MIT" ]

9

2021-10-31T03:38:16.000Z

2021-12-17T00:03:36.000Z

kiqpo/core/jsLib/alert.py

bionic-py/Bionic

a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4

[ "MIT" ]

12

2021-11-11T14:18:09.000Z

2021-12-03T14:00:25.000Z

kiqpo/core/jsLib/alert.py

kiqpo/kiqpo

a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4

[ "MIT" ]

3

2022-03-03T18:30:53.000Z

2022-03-09T13:29:39.000Z

def alert(data, js=False): if js == False: return f'alert("{data}")' else: return f'alert({data})'

20.5

33

0.520325

e7e9c2003137a4a187efa31452aafa0566a7a9f3

6,109

py

Python

opennem/workers/aggregates.py

willhac/opennem

c8fbcd60e06898e1eeb2dad89548c4ece1b9a319

[ "MIT" ]

null

opennem/workers/aggregates.py

willhac/opennem

c8fbcd60e06898e1eeb2dad89548c4ece1b9a319

[ "MIT" ]

null

opennem/workers/aggregates.py

willhac/opennem

c8fbcd60e06898e1eeb2dad89548c4ece1b9a319

[ "MIT" ]

null

import logging import os from datetime import datetime, timedelta from textwrap import dedent from typing import Tuple from opennem.api.stats.controllers import get_scada_range from opennem.api.stats.schema import ScadaDateRange from opennem.db import get_database_engine from opennem.schema.network import NetworkNEM, NetworkSchema, NetworkWEM from opennem.utils.dates import DATE_CURRENT_YEAR logger = logging.getLogger("opennem.workers.aggregates") DRY_RUN = os.environ.get("DRY_RUN", False) def aggregates_facility_daily_query(date_min: datetime, date_max: datetime = None) -> str: """This is the query to update the at_facility_daily aggregate""" __query = """ insert into at_facility_daily select date_trunc('day', fs.trading_interval at time zone n.timezone_database) as trading_day, f.network_id, f.code as facility_code, f.fueltech_id, sum(fs.energy) as energy, sum(fs.market_value) as market_value, sum(fs.emissions) as emissions from ( select time_bucket_gapfill('30 minutes', fs.trading_interval) as trading_interval, fs.facility_code as code, coalesce(sum(fs.eoi_quantity), 0) as energy, coalesce(sum(fs.eoi_quantity), 0) * coalesce(max(bsn.price), max(bs.price), 0) as market_value, coalesce(sum(fs.eoi_quantity), 0) * coalesce(max(f.emissions_factor_co2), 0) as emissions from facility_scada fs left join facility f on fs.facility_code = f.code left join network n on f.network_id = n.code left join balancing_summary bsn on bsn.trading_interval - INTERVAL '5 minutes' = fs.trading_interval and bsn.network_id = n.network_price and bsn.network_region = f.network_region and f.network_id = 'NEM' left join balancing_summary bs on bs.trading_interval = fs.trading_interval and bs.network_id = n.network_price and bs.network_region = f.network_region and f.network_id != 'NEM' where fs.is_forecast is False and fs.trading_interval >= '{date_min}' and fs.trading_interval <= '{date_max}' group by 1, 2 ) as fs left join facility f on fs.code = f.code left join network n on f.network_id = n.code where f.fueltech_id is not null and fs.trading_interval >= '{date_min}' and fs.trading_interval <= '{date_max}' group by 1, f.network_id, f.code, f.fueltech_id on conflict (trading_day, network_id, facility_code) DO UPDATE set energy = EXCLUDED.energy, market_value = EXCLUDED.market_value, emissions = EXCLUDED.emissions; """ query = __query.format( date_min=date_min, date_max=date_max, ) return dedent(query) def exec_aggregates_facility_daily_query(date_min: datetime, date_max: datetime = None) -> bool: resp_code: bool = False engine = get_database_engine() result = None query = aggregates_facility_daily_query(date_min, date_max) with engine.connect() as c: logger.debug(query) if not DRY_RUN: result = c.execute(query) logger.debug(result) # @NOTE rooftop fix for double counts run_rooftop_fix() return resp_code def _get_year_range(year: int, network: NetworkSchema = NetworkNEM) -> Tuple[datetime, datetime]: """Get a date range for a year with end exclusive""" tz = network.get_fixed_offset() date_min = datetime(year, 1, 1, 0, 0, 0, 0, tzinfo=tz) date_max = datetime(year + 1, 1, 1, 0, 0, 0, 0, tzinfo=tz) if year == DATE_CURRENT_YEAR: date_max = datetime.now().replace(hour=0, minute=0, second=0, tzinfo=tz) + timedelta( days=1 ) return date_min, date_max def run_aggregates_facility_year( year: int = DATE_CURRENT_YEAR, network: NetworkSchema = NetworkNEM ) -> None: """Run aggregates for a single year Args: year (int, optional): [description]. Defaults to DATE_CURRENT_YEAR. network (NetworkSchema, optional): [description]. Defaults to NetworkNEM. """ date_min, date_max = _get_year_range(year) logger.info("Running for year {} - range : {} {}".format(year, date_min, date_max)) exec_aggregates_facility_daily_query(date_min, date_max) def run_aggregates_facility_all_by_year() -> None: YEAR_MIN = 1998 YEAR_MAX = DATE_CURRENT_YEAR for year in range(YEAR_MAX, YEAR_MIN - 1, -1): run_aggregates_facility_year(year) def run_aggregates_facility_all(network: NetworkSchema) -> None: scada_range: ScadaDateRange = get_scada_range(network=network) exec_aggregates_facility_daily_query(date_min=scada_range.start, date_max=scada_range.end) def run_aggregate_days(days: int = 1, network: NetworkSchema = NetworkNEM) -> None: """Run energy sum update for yesterday. This task is scheduled in scheduler/db""" tz = network.get_fixed_offset() # This is Sydney time as the data is published in local time # today_midnight in NEM time today = datetime.now().replace( hour=0, minute=0, second=0, microsecond=0, tzinfo=tz ) + timedelta(days=1) date_max = today date_min = today - timedelta(days=days) exec_aggregates_facility_daily_query(date_min, date_max) def run_rooftop_fix() -> None: query = "delete from at_facility_daily where trading_day < '2018-03-01 00:00:00+00' and network_id='AEMO_ROOFTOP';" engine = get_database_engine() with engine.connect() as c: logger.debug(query) if not DRY_RUN: c.execute(query) def run_aggregates_all() -> None: for network in [NetworkWEM, NetworkNEM]: run_aggregates_facility_all(network) # Debug entry point if __name__ == "__main__": run_aggregates_all()

32.668449

119

0.656081

ef58cb1926421ad0fd33e4bc239f84058e0cac33

2,183

py

Python

examples/python/geometry/triangle_mesh_sampling.py

amoran-symbio/Open3D

ae7e44e0dcef11a5df763819d47dec8c5bd5294b

[ "MIT" ]

1,455

2021-07-27T19:44:50.000Z

2022-03-31T19:39:21.000Z

examples/python/geometry/triangle_mesh_sampling.py

amoran-symbio/Open3D

ae7e44e0dcef11a5df763819d47dec8c5bd5294b

[ "MIT" ]

1,439

2021-07-27T16:02:52.000Z

2022-03-31T22:29:05.000Z

examples/python/geometry/triangle_mesh_sampling.py

amoran-symbio/Open3D

ae7e44e0dcef11a5df763819d47dec8c5bd5294b

[ "MIT" ]

339

2021-07-28T03:07:28.000Z

2022-03-31T13:38:00.000Z

# ---------------------------------------------------------------------------- # - Open3D: www.open3d.org - # ---------------------------------------------------------------------------- # The MIT License (MIT) # # Copyright (c) 2018-2021 www.open3d.org # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS # IN THE SOFTWARE. # ---------------------------------------------------------------------------- import open3d as o3d import numpy as np import os import sys pyexample_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(pyexample_path) import open3d_example as o3dex if __name__ == "__main__": mesh = o3dex.get_bunny_mesh() mesh.compute_vertex_normals() print("Displaying input mesh ...") o3d.visualization.draw([mesh]) print("Displaying pointcloud using uniform sampling ...") pcd = mesh.sample_points_uniformly(number_of_points=1000) o3d.visualization.draw([pcd], point_size=5) print("Displaying pointcloud using Poisson disk sampling ...") pcd = mesh.sample_points_poisson_disk(number_of_points=1000, init_factor=5) o3d.visualization.draw([pcd], point_size=5)

43.66

79

0.662391

f3b992f1379d7a705fc296f3814507e03b5d94bb

316

py

Python

other-problems/filetest.py

KristianMariyanov/PythonPlayground

c9a50e2cf95012af1a020eeeb9be2a419d748661

[ "MIT" ]

null

other-problems/filetest.py

KristianMariyanov/PythonPlayground

c9a50e2cf95012af1a020eeeb9be2a419d748661

[ "MIT" ]

null

other-problems/filetest.py

KristianMariyanov/PythonPlayground

c9a50e2cf95012af1a020eeeb9be2a419d748661

[ "MIT" ]

null

""" Read and print an integer series """ import sys def read_series(filename): with open(filename, mode='rt', encoding='utf-8') as f: return [int(line.strip()) for line in f] def main(filename): series = read_series(filename) print(series) if __name__ == '__main__': main(sys.argv[1])

17.555556

58

0.64557

23d77c15c25d6ca74a5733bcf0d6434f8974d193

6,685

py

Python

_python/Call_Thread.py

CoCl-Jerry/Flashlapse_RELEASE

09a4dbe4bf99908ee09e161dc6dda4f15b012f83

[ "MIT" ]

null

_python/Call_Thread.py

CoCl-Jerry/Flashlapse_RELEASE

09a4dbe4bf99908ee09e161dc6dda4f15b012f83

[ "MIT" ]

null

_python/Call_Thread.py

CoCl-Jerry/Flashlapse_RELEASE

09a4dbe4bf99908ee09e161dc6dda4f15b012f83

[ "MIT" ]

null

import Settings import Functions import UI_Update import Threads def start_motion_preset(self): if not Settings.motionPreset_running: try: Settings.gravitropism_wait = self.gravitropism_spinBox.value() Settings.rotateAmount = self.rotateAmount_spinBox.value() Settings.rotateDelay = self.rotateDelay_spinBox.value() Settings.motionPreset_mode = self.motionPreset_tabWidget.currentIndex() self.MPreset_Thread = Threads.MPreset() self.MPreset_Thread.started.connect( lambda: UI_Update.motionPreset_update(self)) self.MPreset_Thread.finished.connect( lambda: UI_Update.motionPreset_update(self)) self.MPreset_Thread.start() except Exception as e: print(e) else: Settings.motionPreset_running = False UI_Update.motionPreset_update(self) def start_cycle(self): if not Settings.cycle_running: try: Settings.cycle_time = self.powerCycle_spinBox.value() self.Cycle_Thread = Threads.Cycle() self.Cycle_Thread.started.connect( lambda: UI_Update.cycle_update(self)) self.Cycle_Thread.start() except Exception as e: print(e) else: Settings.cycle_running = False UI_Update.cycle_update(self) def schedule_test(self): if not Settings.test_running: try: Settings.angle_1 = self.rotate1_spinbox.value() Settings.angle_2 = self.rotate2_spinbox.value() self.Test_Thread = Threads.Test() self.Test_Thread.started.connect( lambda: UI_Update.test_update(self)) self.Test_Thread.finished.connect( lambda: UI_Update.test_update(self)) self.Test_Thread.start() except Exception as e: print(e) else: Settings.test_running = False UI_Update.test_update(self) def schedule_run(self): if not Settings.sch_running: try: Settings.angle_1 = self.rotate1_spinbox.value() Settings.angle_2 = self.rotate2_spinbox.value() Settings.delay_1 = self.wait1_spinbox.value() Settings.delay_2 = self.wait2_spinbox.value() self.Schedule_Thread = Threads.Schedule() self.Schedule_Thread.started.connect( lambda: UI_Update.schedule_update(self)) self.Schedule_Thread.start() except Exception as e: print(e) else: Settings.sch_running = False UI_Update.schedule_update(self) def start_snapshot(self): try: Functions.Camera_update(self) self.Snap_Thread = Threads.Snap() self.Snap_Thread.started.connect( lambda: UI_Update.imaging_disable(self)) self.Snap_Thread.finished.connect( lambda: UI_Update.update_frame_snap(self, "../_temp/snapshot.jpg")) self.Snap_Thread.start() except Exception as e: print(e) def CV_authenticate(self): Settings.cyverseUsername = self.cyverseUsername_lineEdit.text() Settings.cyversePassword = self.cyversePassword_lineEdit.text() try: self.Auth_Thread = Threads.Auth() self.Auth_Thread.started.connect( lambda: UI_Update.CV_authenticating(self)) self.Auth_Thread.finished.connect( lambda: UI_Update.CV_authenticated(self)) self.Auth_Thread.start() except Exception as e: print(e) def start_livefeed(self): try: Settings.livetime = self.liveFeed_spinBox.value() self.livefeed_Thread = Threads.Live() self.livefeed_Thread.started.connect( lambda: UI_Update.imaging_disable(self)) self.livefeed_Thread.finished.connect( lambda: UI_Update.imaging_enable(self)) self.livefeed_Thread.start() except Exception as e: print(e) def start_preview(self): try: Functions.Camera_update(self) self.Preview_Thread = Threads.Preview() self.Preview_Thread.started.connect( lambda: UI_Update.imaging_disable(self)) if(Settings.image_format): self.Preview_Thread.finished.connect( lambda: UI_Update.update_frame_alt(self, "../_temp/preview.jpg")) else: self.Preview_Thread.finished.connect( lambda: UI_Update.update_frame_alt(self, "../_temp/preview.png")) self.Preview_Thread.start() except Exception as e: print(e) def rotate_image(self): try: Functions.Camera_update(self) Settings.rotation += 1 self.Snap_Thread = Threads.Snap() self.Snap_Thread.started.connect( lambda: UI_Update.imaging_disable(self)) self.Snap_Thread.finished.connect( lambda: UI_Update.update_frame(self, "../_temp/snapshot.jpg")) self.Snap_Thread.start() except Exception as e: print(e) def start_sequence(self): if(Settings.image_format): Settings.file = Settings.full_dir + "/" + Settings.sequence_name + "_%04d.jpg" else: Settings.file = Settings.full_dir + "/" + Settings.sequence_name + "_%04d.png" self.Progress_Bar.setMaximum(Settings.total) try: if not Settings.timelapse_running: Functions.Camera_update(self) self.Imaging_Thread = Threads.Image() self.Imaging_Thread.started.connect( lambda: UI_Update.timelapse_update(self)) self.Imaging_Thread.finished.connect( lambda: UI_Update.timelapse_update(self)) self.Imaging_Thread.capturing.connect( lambda: UI_Update.imaging_disable(self)) self.Imaging_Thread.complete.connect( lambda: UI_Update.update_frame(self, Settings.current_image)) self.Imaging_Thread.start() else: Settings.timelapse_running = False UI_Update.timelapse_update(self) except Exception as e: print(e) if Settings.storage_mode and Settings.cyverse_authenticated: try: if Settings.cyverse_authenticated: print("Starting Cyverse Sync Thread") self.Cyverse_Thread = Threads.Cyverse() self.Cyverse_Thread.start() except Exception as e: print(e) def sensor_init(self): try: self.Sensor_Thread = Threads.Sensor() self.Sensor_Thread.update.connect( lambda: UI_Update.sensor_update(self)) self.Sensor_Thread.start() except Exception as e: print(e)

32.294686

86

0.636051

3985785d84137c8706901916250401ed3c848ef4

3,408

py

Python

neptune/internal/common/models/parameter_value_converter.py

jiji-online/neptune-cli

50cf680a80d141497f9331ab7cdaee49fcb90b0c

[ "Apache-2.0" ]

null

neptune/internal/common/models/parameter_value_converter.py

jiji-online/neptune-cli

50cf680a80d141497f9331ab7cdaee49fcb90b0c

[ "Apache-2.0" ]

null

neptune/internal/common/models/parameter_value_converter.py

jiji-online/neptune-cli

50cf680a80d141497f9331ab7cdaee49fcb90b0c

[ "Apache-2.0" ]

null

# # Copyright (c) 2016, deepsense.io # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from future.builtins import object from neptune.internal.common.models.exceptions import NeptuneParameterConversionException from neptune.internal.common.parsers.type_mapper import TypeMapper from neptune.internal.common.utils.str import to_unicode class ParameterValueConverter(object): PARAMETER_TYPE_INT = u'int' PARAMETER_TYPE_DOUBLE = u'double' PARAMETER_TYPE_BOOLEAN = u'boolean' PARAMETER_TYPE_STRING = u'string' _PYTHON_TYPES = { PARAMETER_TYPE_INT: int, PARAMETER_TYPE_DOUBLE: float, PARAMETER_TYPE_BOOLEAN: bool, PARAMETER_TYPE_STRING: str } _CONVERSION_FUNCTIONS = { PARAMETER_TYPE_INT: TypeMapper.to_int, PARAMETER_TYPE_DOUBLE: TypeMapper.to_float, PARAMETER_TYPE_BOOLEAN: TypeMapper.to_bool, PARAMETER_TYPE_STRING: to_unicode } def __init__(self, parameter_api_model): super(ParameterValueConverter, self).__init__() self.parameter_api_model = parameter_api_model def convert_value(self, parameter_value, parameter_type): param_type = self._is_int_float_or_bool(parameter_value, parameter_type) if parameter_value is None: return None conversion_function = self.type2conversion(param_type) destination_type = self.type2python(param_type) try: converted_value = conversion_function(parameter_value) return converted_value except ValueError as ex: raise NeptuneParameterConversionException( self.parameter_api_model, parameter_value, destination_type, ex) @classmethod def type2python(cls, type_name): if type_name in cls._PYTHON_TYPES: return cls._PYTHON_TYPES[type_name] else: raise ValueError(u'Unsupported parameter type: "{}"'.format(type_name)) def _is_int_float_or_bool(self, s, defined_type): if s == "True" or s == "False": return self.PARAMETER_TYPE_BOOLEAN if defined_type == self.PARAMETER_TYPE_STRING: return self.PARAMETER_TYPE_STRING try: floating = float(s) try: integer = int(s) if floating == integer: return self.PARAMETER_TYPE_INT else: return self.PARAMETER_TYPE_DOUBLE except ValueError: return self.PARAMETER_TYPE_DOUBLE except ValueError: return self.PARAMETER_TYPE_STRING @classmethod def type2conversion(cls, type_name): if type_name in cls._CONVERSION_FUNCTIONS: return cls._CONVERSION_FUNCTIONS[type_name] else: raise ValueError(u'Unsupported parameter type: "{}"'.format(type_name))

35.5

89

0.678404

3f72556bbd7d1fad0caee277284974b7e00cf497

5,312

py

Python

bin/atlas_traceroute.py

USC-NSL/ripe-atlas

9c512b0660923779031ec62909bc13bccace5890

[ "MIT" ]

4

2015-09-17T18:22:36.000Z

2016-03-11T21:00:57.000Z

bin/atlas_traceroute.py

USC-NSL/ripe-atlas

9c512b0660923779031ec62909bc13bccace5890

[ "MIT" ]

null

bin/atlas_traceroute.py

USC-NSL/ripe-atlas

9c512b0660923779031ec62909bc13bccace5890

[ "MIT" ]

null

#!/usr/bin/python import sys import traceback import os import time import socket from atlas import measure_baseclass from measure_baseclass import MeasurementBase from measure_baseclass import load_input, readkey, process_response from measure_baseclass import SLEEP_TIME class Traceroute(MeasurementBase): def __init__(self, target, key, probe_list=None, sess=None, dont_frag=False, protocol='ICMP', timeout=4000, paris=0): super(Traceroute, self).__init__(target, key, probe_list, sess) self.measurement_type = 'traceroute' self.dont_frag = dont_frag self.protocol = protocol self.timeout = timeout self.paris = paris def setup_definitions(self): definitions = super(Traceroute, self).setup_definitions() definitions['dontfrag'] = str(self.dont_frag).lower() definitions['protocol'] = self.protocol definitions['timeout'] = self.timeout if self.paris >= 1 and self.paris <= 16: definitions['paris'] = self.paris return definitions def config_argparser(): parser = measure_baseclass.config_argparser() parser.add_argument('-p', '--protocol', default=['ICMP'], nargs=1, help='Must be ICMP or UDP (default: ICMP)') parser.add_argument('--dont-frag', action='store_true', help='Don\'t fragment the packet (default: off)') parser.add_argument('--paris', default=[0], type=int, help='Use Paris. Value must be between 1 and 16. (default: off)') parser.add_argument('--timeout', default=[4000], type=int, # list default and type=int do not seem to work help='Value (in milliseconds) must be between 1 and 60000 (default: 4000)') parser.add_argument('--npackets', default=[3], nargs=1, help='Number of packets to send to each hop (default: 3)') return parser if __name__ == '__main__': parser = config_argparser() #set up command line parameters args = parser.parse_args() try: key_file = args.key_file[0] key = readkey(key_file) #read in Atlas API key except: sys.stderr.write('Error reading key file at %s\n' % key_file) sys.exit(1) #get args target_dict = load_input(args.target_list[0]) outfile = args.meas_id_output[0] dont_frag = args.dont_frag protocol = args.protocol[0] timeout = args.timeout[0] paris = args.paris[0] is_public = args.private ipv6 = args.ipv6 description = args.description[0] repeating = args.repeats[0] npackets = args.npackets[0] if not target_dict: sys.stderr.write('No targets defined\n') sys.exit(1) try: outf = open(outfile, 'w') i = 0 target_list = target_dict.keys() while i < len(target_list): try: target = target_list[i] probe_list = target_dict[target] """ The maxmimum number of probes per requet is 500 so we need to break this is up into several requests. """ probe_list_chunks = [probe_list[x:x+500] for x in xrange(0, len(probe_list), 500)] j = 0 #for probe_list_chunk in probe_list_chunks: while j < len(probe_list_chunks): probe_list_chunk = probe_list_chunks[j] traceroute = Traceroute(target, key, probe_list=probe_list_chunk, dont_frag=dont_frag, protocol=protocol, timeout=timeout, paris=paris) traceroute.description = description traceroute.af = 4 if not ipv6 else 6 traceroute.is_oneoff = True if repeating == 0 else False if not traceroute.is_oneoff: traceroute.interval = repeating #set the repeating interval traceroute.is_public = is_public traceroute.npackets = npackets response = traceroute.run() status, result = process_response(response) if status == 'error': sys.stderr.write('Request got error %s. Sleeping for %d seconds\n' % (result, SLEEP_TIME)) time.sleep(SLEEP_TIME) continue #try again else: #on success measurement_list = result measurement_list_str = map(str, measurement_list) outstr = '\n'.join(measurement_list_str) outf.write(outstr+'\n') print(outstr) j += 1 #only increment on success time.sleep(10) i += 1 except socket.error: sys.stderr.write('Got network error. Going to sleep for %d seconds\n' % SLEEP_TIME) traceback.print_exc(file=sys.stderr) time.sleep(SLEEP_TIME) except: sys.stderr.write('Got error making traceroute request\n') traceback.print_exc(file=sys.stderr) finally: outf.close()

39.058824

114

0.57436

951a372fea35b485b9d340004105a21136fef4bc

65

py

Python

redata/models/__init__.py

guicalare/redata

1cc04398eef984428fae4bedd9da98f06aae87ec

[ "MIT" ]

null

redata/models/__init__.py

guicalare/redata

1cc04398eef984428fae4bedd9da98f06aae87ec

[ "MIT" ]

null

redata/models/__init__.py

guicalare/redata

1cc04398eef984428fae4bedd9da98f06aae87ec

[ "MIT" ]

null

from .metrics import * from .table import * from .alerts import *

21.666667

22

0.738462

673189574f97fcf4c5f8957e28dc07d30133709d

11,413

py

Python

telloCV.py

dronefreak/dji-tello-collision-avoidance-pydnet

d4d33059dab9bc4a81fadb42b503d6e9a1cecdf8

[ "MIT" ]

23

2019-05-02T16:19:46.000Z

2022-03-30T08:05:56.000Z

dji-tello-collision-avoidance-pydnet/telloCV.py

driver005/tello

fdb67fa4c4c24f6b9dbaacdc22b8f0681b677b7f

[ "Apache-2.0" ]

2

2019-08-25T08:34:22.000Z

2021-02-17T04:09:22.000Z

dji-tello-collision-avoidance-pydnet/telloCV.py

driver005/tello

fdb67fa4c4c24f6b9dbaacdc22b8f0681b677b7f

[ "Apache-2.0" ]

13

2019-07-18T11:30:58.000Z

2021-10-31T11:17:50.000Z

""" tellotracker: Allows manual operation of the drone and demo tracking mode. Requires mplayer to record/save video. Controls: - tab to lift off - WASD to move the drone - space/shift to ascend/descent slowly - Q/E to yaw slowly - arrow keys to ascend, descend, or yaw quickly - backspace to land, or P to palm-land - enter to take a picture - R to start recording video, R again to stop recording (video and photos will be saved to a timestamped file in ~/Pictures/) - Z to toggle camera zoom state (zoomed-in widescreen or high FOV 4:3) - T to toggle tracking @author Leonie Buckley, Saksham Sinha and Jonathan Byrne @copyright 2018 see license file for details """ import time import datetime import os import tellopy import numpy import av import cv2 from pynput import keyboard from tracker import Tracker def main(): count = 0 t_stamp = time.time() f=open("custom-dataset-3/rgb.txt", "w+") f.write("# color images\n") f.write("# file: 'rgbd_dataset_freiburg1_xyz.bag'\n") f.write("# timestamp filename\n") offset = 0.04 """ Create a tello controller and show the video feed.""" tellotrack = TelloCV() for packet in tellotrack.container.demux((tellotrack.vid_stream,)): for frame in packet.decode(): image = tellotrack.process_frame(frame) image = cv2.resize(image, (640,480), interpolation = cv2.INTER_AREA) cv2.imwrite("custom-dataset-3/rgb/{}.jpg".format(t_stamp), image) # save frame as JPEG file f.write(str(t_stamp) + " " + "rgb/" + '{}.jpg'.format(t_stamp) + "\n") t_stamp = t_stamp + offset cv2.imshow('tello', image) _ = cv2.waitKey(1) & 0xFF f.close() class TelloCV(object): """ TelloTracker builds keyboard controls on top of TelloPy as well as generating images from the video stream and enabling opencv support """ def __init__(self): self.prev_flight_data = None self.record = False self.tracking = False self.keydown = False self.date_fmt = '%Y-%m-%d_%H%M%S' self.speed = 50 self.drone = tellopy.Tello() self.init_drone() self.init_controls() # container for processing the packets into frames self.container = av.open(self.drone.get_video_stream()) self.vid_stream = self.container.streams.video[0] self.out_file = None self.out_stream = None self.out_name = None self.start_time = time.time() # tracking a color green_lower = (30, 50, 50) green_upper = (80, 255, 255) #red_lower = (0, 50, 50) # red_upper = (20, 255, 255) # blue_lower = (110, 50, 50) # upper_blue = (130, 255, 255) self.track_cmd = "" self.tracker = Tracker(self.vid_stream.height, self.vid_stream.width, green_lower, green_upper) def init_drone(self): """Connect, uneable streaming and subscribe to events""" # self.drone.log.set_level(2) self.drone.connect() self.drone.start_video() self.drone.subscribe(self.drone.EVENT_FLIGHT_DATA, self.flight_data_handler) self.drone.subscribe(self.drone.EVENT_FILE_RECEIVED, self.handle_flight_received) def on_press(self, keyname): """handler for keyboard listener""" if self.keydown: return try: self.keydown = True keyname = str(keyname).strip('\'') print('+' + keyname) if keyname == 'Key.esc': self.drone.quit() exit(0) if keyname in self.controls: key_handler = self.controls[keyname] if isinstance(key_handler, str): getattr(self.drone, key_handler)(self.speed) else: key_handler(self.speed) except AttributeError: print('special key {0} pressed'.format(keyname)) def on_release(self, keyname): """Reset on key up from keyboard listener""" self.keydown = False keyname = str(keyname).strip('\'') print('-' + keyname) if keyname in self.controls: key_handler = self.controls[keyname] if isinstance(key_handler, str): getattr(self.drone, key_handler)(0) else: key_handler(0) def init_controls(self): """Define keys and add listener""" self.controls = { 'w': 'forward', 's': 'backward', 'a': 'left', 'd': 'right', 'Key.space': 'up', 'Key.shift': 'down', 'Key.shift_r': 'down', 'q': 'counter_clockwise', 'e': 'clockwise', 'i': lambda speed: self.drone.flip_forward(), 'k': lambda speed: self.drone.flip_back(), 'j': lambda speed: self.drone.flip_left(), 'l': lambda speed: self.drone.flip_right(), # arrow keys for fast turns and altitude adjustments 'Key.left': lambda speed: self.drone.counter_clockwise(speed), 'Key.right': lambda speed: self.drone.clockwise(speed), 'Key.up': lambda speed: self.drone.up(speed), 'Key.down': lambda speed: self.drone.down(speed), 'Key.tab': lambda speed: self.drone.takeoff(), 'Key.backspace': lambda speed: self.drone.land(), 'p': lambda speed: self.palm_land(speed), 't': lambda speed: self.toggle_tracking(speed), 'r': lambda speed: self.toggle_recording(speed), 'z': lambda speed: self.toggle_zoom(speed), 'Key.enter': lambda speed: self.take_picture(speed) } self.key_listener = keyboard.Listener(on_press=self.on_press, on_release=self.on_release) self.key_listener.start() # self.key_listener.join() def process_frame(self, frame): """convert frame to cv2 image and show""" image = cv2.cvtColor(numpy.array( frame.to_image()), cv2.COLOR_RGB2BGR) # image = self.write_hud(image) # if self.record: # self.record_vid(frame) # xoff, yoff = self.tracker.track(image) # image = self.tracker.draw_arrows(image) # distance = 100 # cmd = "" # if self.tracking: # if xoff < -distance: # cmd = "counter_clockwise" # elif xoff > distance: # cmd = "clockwise" # elif yoff < -distance: # cmd = "down" # elif yoff > distance: # cmd = "up" # else: # if self.track_cmd is not "": # getattr(self.drone, self.track_cmd)(0) # self.track_cmd = "" # if cmd is not self.track_cmd: # if cmd is not "": # print("track command:", cmd) # getattr(self.drone, cmd)(self.speed) # self.track_cmd = cmd return image def write_hud(self, frame): """Draw drone info, tracking and record on frame""" stats = self.prev_flight_data.split('|') stats.append("Tracking:" + str(self.tracking)) if self.drone.zoom: stats.append("VID") else: stats.append("PIC") if self.record: diff = int(time.time() - self.start_time) mins, secs = divmod(diff, 60) stats.append("REC {:02d}:{:02d}".format(mins, secs)) for idx, stat in enumerate(stats): text = stat.lstrip() cv2.putText(frame, text, (0, 30 + (idx * 30)), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255, 0, 0), lineType=30) return frame def toggle_recording(self, speed): """Handle recording keypress, creates output stream and file""" if speed == 0: return self.record = not self.record if self.record: datename = [os.getenv('HOME'), datetime.datetime.now().strftime(self.date_fmt)] self.out_name = '{}/Pictures/tello-{}.mp4'.format(*datename) print("Outputting video to:", self.out_name) self.out_file = av.open(self.out_name, 'w') self.start_time = time.time() self.out_stream = self.out_file.add_stream( 'mpeg4', self.vid_stream.rate) self.out_stream.pix_fmt = 'yuv420p' self.out_stream.width = self.vid_stream.width self.out_stream.height = self.vid_stream.height if not self.record: print("Video saved to ", self.out_name) self.out_file.close() self.out_stream = None def record_vid(self, frame): """ convert frames to packets and write to file """ new_frame = av.VideoFrame( width=frame.width, height=frame.height, format=frame.format.name) for i in range(len(frame.planes)): new_frame.planes[i].update(frame.planes[i]) pkt = None try: pkt = self.out_stream.encode(new_frame) except IOError as err: print("encoding failed: {0}".format(err)) if pkt is not None: try: self.out_file.mux(pkt) except IOError: print('mux failed: ' + str(pkt)) def take_picture(self, speed): """Tell drone to take picture, image sent to file handler""" if speed == 0: return self.drone.take_picture() def palm_land(self, speed): """Tell drone to land""" if speed == 0: return self.drone.palm_land() def toggle_tracking(self, speed): """ Handle tracking keypress""" if speed == 0: # handle key up event return self.tracking = not self.tracking print("tracking:", self.tracking) return def toggle_zoom(self, speed): """ In "video" mode the self.drone sends 1280x720 frames. In "photo" mode it sends 2592x1936 (952x720) frames. The video will always be centered in the window. In photo mode, if we keep the window at 1280x720 that gives us ~160px on each side for status information, which is ample. Video mode is harder because then we need to abandon the 16:9 display size if we want to put the HUD next to the video. """ if speed == 0: return self.drone.set_video_mode(not self.drone.zoom) def flight_data_handler(self, event, sender, data): """Listener to flight data from the drone.""" text = str(data) if self.prev_flight_data != text: self.prev_flight_data = text def handle_flight_received(self, event, sender, data): """Create a file in ~/Pictures/ to receive image from the drone""" path = '%s/Pictures/tello-%s.jpeg' % ( os.getenv('HOME'), datetime.datetime.now().strftime(self.date_fmt)) with open(path, 'wb') as out_file: out_file.write(data) print('Saved photo to %s' % path) if __name__ == '__main__': main()

35.554517

113

0.563655

0c78fff3f1194561cf83cf422c4c19713cc4ca0f

1,601

py

Python

src/foremast/elb/splay_health.py

gitter-badger/foremast

33530438ba5893a1d5cf822a63e03d7ab49dfcd7

[ "Apache-2.0" ]

null

src/foremast/elb/splay_health.py

gitter-badger/foremast

33530438ba5893a1d5cf822a63e03d7ab49dfcd7

[ "Apache-2.0" ]

null

src/foremast/elb/splay_health.py

gitter-badger/foremast

33530438ba5893a1d5cf822a63e03d7ab49dfcd7

[ "Apache-2.0" ]

null

# Foremast - Pipeline Tooling # # Copyright 2016 Gogo, LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Cut Health Target up into pieces.""" import collections import logging LOG = logging.getLogger(__name__) def splay_health(health_target): """Set Health Check path, port, and protocol. Args: health_target (str): The health target. ie ``HTTP:80`` Returns: HealthCheck: A **collections.namedtuple** class with *path*, *port*, *proto*, and *target* attributes. """ HealthCheck = collections.namedtuple('HealthCheck', ['path', 'port', 'proto', 'target']) proto, health_port_path = health_target.split(':') port, *health_path = health_port_path.split('/') if proto == 'TCP': path = '' elif not health_path: path = '/healthcheck' else: path = '/{0}'.format('/'.join(health_path)) target = '{0}:{1}{2}'.format(proto, port, path) health = HealthCheck(path, port, proto, target) LOG.info(health) return health

30.788462

76

0.643973

bd970fc9958293f978f3953137ea955da037b959

1,965

py

Python

files/tag-ec2.py

rb-org/tfm-aws-lambda

b56f38e683c36c2be160df71ffc08719982e1e66

[ "MIT" ]

null

files/tag-ec2.py

rb-org/tfm-aws-lambda

b56f38e683c36c2be160df71ffc08719982e1e66

[ "MIT" ]

null

files/tag-ec2.py

rb-org/tfm-aws-lambda

b56f38e683c36c2be160df71ffc08719982e1e66

[ "MIT" ]

null

import boto3 import os # import json # from datetime import datetime from botocore.exceptions import ClientError client = boto3.client('ec2') ec2 = boto3.resource('ec2') region = os.environ['REGION'] resource_ids = [] def lambda_handler(event, context): try: # print(event) # Create EC2 if event['detail']['eventName'] == 'RunInstances': items = event['detail']['responseElements']['instancesSet']['items'] for item in items: resource_ids.append(item['instanceId']) volumes = client.describe_volumes( Filters=[ { 'Name': 'attachment.instance-id', 'Values': [ item['instanceId'], ] }, ] ) vol_list = volumes['Volumes'] for vol in vol_list: vol_id = vol['VolumeId'] resource_ids.append(vol_id) # Create EBS elif event['detail']['eventName'] == 'CreateVolume': resource_ids.append( event['detail']['responseElements']['volumeId']) # Create Snapshot elif event['detail']['eventName'] == 'CreateSnapshot': resource_ids.append( event['detail']['responseElements']['snapshotId']) else: print('Not supported: {0}'.format(event['detail']['eventName'])) # Create Tags client.create_tags( Resources=resource_ids, Tags=[ { 'Key': 'SecureTag', 'Value': 'true' }, { 'Key': 'Name', 'Value': 'testing123' } ] ) except Exception as e: print('Error - reason "%s"' % str(e))

29.328358

80

0.453944

4c3d2a864a7fc638d8cc7054a10ede916e9caabb

3,062

py

Python

SDK/Examples/Python/Lib3MF_Example.py

alexanderoster/lib3mf

30d5c2e0e8ed7febb5c10a84dc2db9d53fee6d05

[ "BSD-2-Clause" ]

171

2015-04-30T21:54:02.000Z

2022-03-13T13:33:59.000Z

SDK/Examples/Python/Lib3MF_Example.py

alexanderoster/lib3mf

30d5c2e0e8ed7febb5c10a84dc2db9d53fee6d05

[ "BSD-2-Clause" ]

190

2015-07-21T22:15:54.000Z

2022-03-30T15:48:37.000Z

SDK/Examples/Python/Lib3MF_Example.py

alexanderoster/lib3mf

30d5c2e0e8ed7febb5c10a84dc2db9d53fee6d05

[ "BSD-2-Clause" ]

80

2015-04-30T22:15:54.000Z

2022-03-09T12:38:49.000Z

'''++ Copyright (C) 2019 3MF Consortium (Original Author) All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. This file has been generated by the Automatic Component Toolkit (ACT) version 1.6.0-develop. Abstract: This is an autogenerated Python application that demonstrates the usage of the Python bindings of the 3MF Library Interface version: 2.2.0 ''' import os import sys sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), "..", "..", "Bindings", "Python")) import Lib3MF def buildTriangle(mesh): triangle = Lib3MF.Triangle() position = Lib3MF.Position() position.Coordinates[0] = 0 position.Coordinates[1] = 0 position.Coordinates[2] = 0 triangle.Indices[0] = mesh.AddVertex(position) position.Coordinates[0] = 0 position.Coordinates[1] = 1 position.Coordinates[2] = 0 triangle.Indices[1] = mesh.AddVertex(position) position.Coordinates[0] = 0 position.Coordinates[1] = 0 position.Coordinates[2] = 1 triangle.Indices[2] = mesh.AddVertex(position) mesh.AddTriangle(triangle) def main(): libpath = '../../Bin' # TODO add the location of the shared library binary here wrapper = Lib3MF.Wrapper(os.path.join(libpath, "lib3mf")) major, minor, micro = wrapper.GetLibraryVersion() print("Lib3MF version: {:d}.{:d}.{:d}".format(major, minor, micro), end="") hasInfo, prereleaseinfo = wrapper.GetPrereleaseInformation() if hasInfo: print("-"+prereleaseinfo, end="") hasInfo, buildinfo = wrapper.GetBuildInformation() if hasInfo: print("+"+buildinfo, end="") print("") # this example is REALLY simplisitic, but you get the point :) model = wrapper.CreateModel() meshObject = model.AddMeshObject() buildTriangle(meshObject) writer = model.QueryWriter("3mf") writer.WriteToFile("triangle.3mf") if __name__ == "__main__": try: main() except Lib3MF.ELib3MFException as e: print(e)

33.648352

108

0.763227

028fac412fc61833760bad32181587779712d2da

6,420

py

Python

pyleecan/Classes/DXFImport.py

mxgnsr/pyleecan

2b0a04e4ae67c073a91362ab42332908fef53bdd

[ "Apache-2.0" ]

2

2019-06-08T15:04:39.000Z

2020-09-07T13:32:22.000Z

pyleecan/Classes/DXFImport.py

mxgnsr/pyleecan

2b0a04e4ae67c073a91362ab42332908fef53bdd

[ "Apache-2.0" ]

null

pyleecan/Classes/DXFImport.py

mxgnsr/pyleecan

2b0a04e4ae67c073a91362ab42332908fef53bdd

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # File generated according to Generator/ClassesRef/Simulation/DXFImport.csv # WARNING! All changes made in this file will be lost! """Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Simulation/DXFImport """ from os import linesep from logging import getLogger from ._check import check_var, raise_ from ..Functions.get_logger import get_logger from ..Functions.save import save from ._frozen import FrozenClass # Import all class method # Try/catch to remove unnecessary dependencies in unused method try: from ..Methods.Simulation.DXFImport.get_surfaces import get_surfaces except ImportError as error: get_surfaces = error from ._check import InitUnKnowClassError class DXFImport(FrozenClass): """Use a DXF to define a lamination""" VERSION = 1 # cf Methods.Simulation.DXFImport.get_surfaces if isinstance(get_surfaces, ImportError): get_surfaces = property( fget=lambda x: raise_( ImportError( "Can't use DXFImport method get_surfaces: " + str(get_surfaces) ) ) ) else: get_surfaces = get_surfaces # save method is available in all object save = save # generic copy method def copy(self): """Return a copy of the class """ return type(self)(init_dict=self.as_dict()) # get_logger method is available in all object get_logger = get_logger def __init__( self, file_path="", surf_dict={}, BC_list=[], init_dict=None, init_str=None ): """Constructor of the class. Can be use in three ways : - __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values for Matrix, None will initialise the property with an empty Matrix for pyleecan type, None will call the default constructor - __init__ (init_dict = d) d must be a dictionnary with every properties as keys - __init__ (init_str = s) s must be a string s is the file path to load ndarray or list can be given for Vector and Matrix object or dict can be given for pyleecan Object""" if init_str is not None: # Initialisation by str from ..Functions.load import load assert type(init_str) is str # load the object from a file obj = load(init_str) assert type(obj) is type(self) file_path = obj.file_path surf_dict = obj.surf_dict BC_list = obj.BC_list if init_dict is not None: # Initialisation by dict assert type(init_dict) is dict # Overwrite default value with init_dict content if "file_path" in list(init_dict.keys()): file_path = init_dict["file_path"] if "surf_dict" in list(init_dict.keys()): surf_dict = init_dict["surf_dict"] if "BC_list" in list(init_dict.keys()): BC_list = init_dict["BC_list"] # Initialisation by argument self.parent = None self.file_path = file_path self.surf_dict = surf_dict if BC_list == -1: BC_list = [] self.BC_list = BC_list # The class is frozen, for now it's impossible to add new properties self._freeze() def __str__(self): """Convert this objet in a readeable string (for print)""" DXFImport_str = "" if self.parent is None: DXFImport_str += "parent = None " + linesep else: DXFImport_str += "parent = " + str(type(self.parent)) + " object" + linesep DXFImport_str += 'file_path = "' + str(self.file_path) + '"' + linesep DXFImport_str += "surf_dict = " + str(self.surf_dict) + linesep DXFImport_str += ( "BC_list = " + linesep + str(self.BC_list).replace(linesep, linesep + "\t") + linesep ) return DXFImport_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False if other.file_path != self.file_path: return False if other.surf_dict != self.surf_dict: return False if other.BC_list != self.BC_list: return False return True def as_dict(self): """Convert this objet in a json seriable dict (can be use in __init__) """ DXFImport_dict = dict() DXFImport_dict["file_path"] = self.file_path DXFImport_dict["surf_dict"] = self.surf_dict DXFImport_dict["BC_list"] = self.BC_list # The class name is added to the dict fordeserialisation purpose DXFImport_dict["__class__"] = "DXFImport" return DXFImport_dict def _set_None(self): """Set all the properties to None (except pyleecan object)""" self.file_path = None self.surf_dict = None self.BC_list = None def _get_file_path(self): """getter of file_path""" return self._file_path def _set_file_path(self, value): """setter of file_path""" check_var("file_path", value, "str") self._file_path = value file_path = property( fget=_get_file_path, fset=_set_file_path, doc=u"""Path to the DXF file to import :Type: str """, ) def _get_surf_dict(self): """getter of surf_dict""" return self._surf_dict def _set_surf_dict(self, value): """setter of surf_dict""" check_var("surf_dict", value, "dict") self._surf_dict = value surf_dict = property( fget=_get_surf_dict, fset=_set_surf_dict, doc=u"""Dictionnary to assign the surfaces: key=complex reference point coordinate, value=label of the surface :Type: dict """, ) def _get_BC_list(self): """getter of BC_list""" return self._BC_list def _set_BC_list(self, value): """setter of BC_list""" check_var("BC_list", value, "list") self._BC_list = value BC_list = property( fget=_get_BC_list, fset=_set_BC_list, doc=u"""List of tuple to apply boundary conditions (complex reference point coordinate, is_arc, label of the BC to apply) :Type: list """, )

32.1

129

0.61028

67b888dd52899c05f771ac65893a43390b1a0eec

1,810

py

Python

mt/base/functional.py

inteplus/mtbase

b211f25110f95be8b78be3e44feb1c16789c13b8

[ "MIT" ]

null

mt/base/functional.py

inteplus/mtbase

b211f25110f95be8b78be3e44feb1c16789c13b8

[ "MIT" ]

null

mt/base/functional.py

inteplus/mtbase

b211f25110f95be8b78be3e44feb1c16789c13b8

[ "MIT" ]

null

'''Utitilites related to composing funcions.''' __all__ = ['on_list', 'join_funcs', 'iterator_as_generator'] def on_list(func): '''Turns a function that operates on each element at a time into a function that operates on a colletion of elements at a time. Can be used as a decorator. Parameters ---------- func : function the function to build upon. Its expected form is `def func(x, *args, **kwargs) -> object`. Returns ------- function a wrapper function `def func_on_list(list_x, *args, **kwargs) -> list_of_objects` that invokes `func(x, *args, **kwargs)` for each x in list_x. ''' def func_on_list(list_x, *args, **kwargs): return [func(x, *args, **kwargs) for x in list_x] return func_on_list def join_funcs(*funcs, left_to_right=True): '''Concatenates functions taking a single argument into a single function. Parameters ---------- *funcs : list list of functions f1(x), f2(x), ..., fn(x) left_to_right : boolean whether to concatenate from left to right or from right to left. Returns ------- func : function The function `f(x) = fn(...f2(f1(x))...)` if left_to_right is True, else `f(x) = f1(f2(...fn(x)...))`. ''' def left_to_right_func(x): for f in funcs: x = f(x) return x def right_to_left_func(x): for f in reversed(funcs): x = f(x) return x return left_to_right_func if left_to_right else right_to_left_func def iterator_as_generator(iterator): '''Turns a Python iterator into a Python generator that generates items forever. Probably only useful for keras.''' def asgenerator(iterator): while True: yield next(iterator) return asgenerator(iterator)

29.672131

159

0.628177

0f831147437faad6fa88edb7049ef2d1d3c92e87

2,122

py

Python

ds-sdk-mini/DeepSecurity/IntrusionPrevention.py

zachwhaley/thus

22b006c4ea110fbdc09a79c38e49e79ba04bb4d4

[ "MIT" ]

24

2020-09-10T18:34:04.000Z

2022-02-09T01:52:20.000Z

ds-sdk-mini/DeepSecurity/IntrusionPrevention.py

zachwhaley/thus

22b006c4ea110fbdc09a79c38e49e79ba04bb4d4

[ "MIT" ]

5

2020-09-11T17:22:08.000Z

2021-09-08T15:51:58.000Z

ds-sdk-mini/DeepSecurity/IntrusionPrevention.py

zachwhaley/thus

22b006c4ea110fbdc09a79c38e49e79ba04bb4d4

[ "MIT" ]

6

2020-09-10T20:03:00.000Z

2021-06-25T07:33:21.000Z

# Copyright (c) 2020. Brendan Johnson. All Rights Reserved. #import connect #import config class IntrusionPrevention: def __init__(self, config, connection): self._config=config self._connection = connection ## Application Types def listTypes(self): return self._connection.get(url='/applicationtypes') def createType(self, payload): return self._connection.post(url='/applicationtypes', data=payload) def createType(self, applicationTypeID): return self._connection.get(url='/applicationtypes/{applicationTypeID}'.format(applicationTypeID=applicationTypeID)) def modifyType(self, applicationTypeID, payload): return self._connection.post(url='/applicationtypes/{applicationTypeID}'.format(applicationTypeID=applicationTypeID), data=payload) def deleteType(self, applicationTypeID): return self._connection.delete(url='/applicationtypes/{applicationTypeID}'.format(applicationTypeID=applicationTypeID)) def searchTypes(self, payload): return self._connection.post(url='/applicationtypes/search', data=payload) ## Rules def listRules(self): return self._connection.get(url='/intrusionpreventionrules') def createRules(self, payload): return self._connection.post(url='/intrusionpreventionrules', data=payload) def describeRule(self, intrusionPreventionRuleID): return self._connection.get(url='/intrusionpreventionrules/{intrusionPreventionRuleID}'.format(intrusionPreventionRuleID=intrusionPreventionRuleID)) def modifyRule(self, intrusionPreventionRuleID, payload): return self._connection.post(url='/intrusionpreventionrules/{intrusionPreventionRuleID}'.format(intrusionPreventionRuleID=intrusionPreventionRuleID), data=payload) def deleteRule(self, intrusionPreventionRuleID): return self._connection.delete(url='/intrusionpreventionrules/{intrusionPreventionRuleID}'.format(intrusionPreventionRuleID=intrusionPreventionRuleID)) def searchRules(self, payload): return self._connection.post(url='/intrusionpreventionrules/search', data=payload)

58.944444

171

0.768615

91b5dc72e5f80a12991b89d62f564525112b912d

1,063

py

Python

migrations/versions/e604a3970f2b_initial_migration.py

samwel-chege/Pitches

06e8ad720e123958b64d8fef24a6eea3bee22715

[ "MIT" ]

null

migrations/versions/e604a3970f2b_initial_migration.py

samwel-chege/Pitches

06e8ad720e123958b64d8fef24a6eea3bee22715

[ "MIT" ]

null

migrations/versions/e604a3970f2b_initial_migration.py

samwel-chege/Pitches

06e8ad720e123958b64d8fef24a6eea3bee22715

[ "MIT" ]

null

"""Initial Migration Revision ID: e604a3970f2b Revises: Create Date: 2021-08-17 14:39:49.259942 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'e604a3970f2b' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table('users', sa.Column('id', sa.Integer(), nullable=False), sa.Column('username', sa.String(length=255), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('comments', sa.Column('id', sa.Integer(), nullable=False), sa.Column('comment', sa.String(length=255), nullable=True), sa.Column('author_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['author_id'], ['users.id'], ), sa.PrimaryKeyConstraint('id') ) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_table('comments') op.drop_table('users') # ### end Alembic commands ###

25.926829

65

0.668862

0e76e138188ee7432bfa0a8c0f3816a23608d503

56,475

py

Python

src/sage/combinat/set_partition.py

bopopescu/Sage-8

71be00ad5f25ca95381fae7cce96421ffdd43425

[ "BSL-1.0" ]

null

src/sage/combinat/set_partition.py

bopopescu/Sage-8

71be00ad5f25ca95381fae7cce96421ffdd43425

[ "BSL-1.0" ]

null

src/sage/combinat/set_partition.py

bopopescu/Sage-8

71be00ad5f25ca95381fae7cce96421ffdd43425

[ "BSL-1.0" ]

null

r""" Set Partitions AUTHORS: - Mike Hansen - MuPAD-Combinat developers (for algorithms and design inspiration). - Travis Scrimshaw (2013-02-28): Removed ``CombinatorialClass`` and added entry point through :class:`SetPartition`. """ #***************************************************************************** # Copyright (C) 2007 Mike Hansen <mhansen@gmail.com>, # # Distributed under the terms of the GNU General Public License (GPL) # # This code is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # General Public License for more details. # # The full text of the GPL is available at: # # http://www.gnu.org/licenses/ #***************************************************************************** from sage.sets.set import Set, is_Set import itertools from sage.structure.parent import Parent from sage.structure.unique_representation import UniqueRepresentation from sage.structure.list_clone import ClonableArray from sage.categories.infinite_enumerated_sets import InfiniteEnumeratedSets from sage.categories.finite_enumerated_sets import FiniteEnumeratedSets from sage.misc.classcall_metaclass import ClasscallMetaclass from sage.rings.infinity import infinity from sage.rings.integer import Integer from sage.combinat.cartesian_product import CartesianProduct from sage.combinat.misc import IterableFunctionCall from sage.combinat.combinatorial_map import combinatorial_map import sage.combinat.subset as subset from sage.combinat.partition import Partition, Partitions from sage.combinat.set_partition_ordered import OrderedSetPartitions from sage.combinat.combinat import bell_number, stirling_number2 from sage.combinat.permutation import Permutation from functools import reduce class SetPartition(ClonableArray): """ A partition of a set. A set partition `p` of a set `S` is a partition of `S` into subsets called parts and represented as a set of sets. By extension, a set partition of a nonnegative integer `n` is the set partition of the integers from 1 to `n`. The number of set partitions of `n` is called the `n`-th Bell number. There is a natural integer partition associated with a set partition, namely the nonincreasing sequence of sizes of all its parts. There is a classical lattice associated with all set partitions of `n`. The infimum of two set partitions is the set partition obtained by intersecting all the parts of both set partitions. The supremum is obtained by transitive closure of the relation `i` related to `j` if and only if they are in the same part in at least one of the set partitions. We will use terminology from partitions, in particular the *length* of a set partition `A = \{A_1, \ldots, A_k\}` is the number of parts of `A` and is denoted by `|A| := k`. The *size* of `A` is the cardinality of `S`. We will also sometimes use the notation `[n] := \{1, 2, \ldots, n\}`. EXAMPLES: There are 5 set partitions of the set `\{1,2,3\}`:: sage: SetPartitions(3).cardinality() 5 Here is the list of them:: sage: SetPartitions(3).list() [{{1, 2, 3}}, {{1}, {2, 3}}, {{1, 3}, {2}}, {{1, 2}, {3}}, {{1}, {2}, {3}}] There are 6 set partitions of `\{1,2,3,4\}` whose underlying partition is `[2, 1, 1]`:: sage: SetPartitions(4, [2,1,1]).list() [{{1}, {2}, {3, 4}}, {{1}, {2, 4}, {3}}, {{1}, {2, 3}, {4}}, {{1, 4}, {2}, {3}}, {{1, 3}, {2}, {4}}, {{1, 2}, {3}, {4}}] Since :trac:`14140`, we can create a set partition directly by :class:`SetPartition`, which creates the base set by taking the union of the parts passed in:: sage: s = SetPartition([[1,3],[2,4]]); s {{1, 3}, {2, 4}} sage: s.parent() Set partitions """ __metaclass__ = ClasscallMetaclass @staticmethod def __classcall_private__(cls, parts, check=True): """ Create a set partition from ``parts`` with the appropriate parent. EXAMPLES:: sage: s = SetPartition([[1,3],[2,4]]); s {{1, 3}, {2, 4}} sage: s.parent() Set partitions """ P = SetPartitions() return P.element_class(P, parts) def __init__(self, parent, s): """ Initialize ``self``. EXAMPLES:: sage: S = SetPartitions(4) sage: s = S([[1,3],[2,4]]) sage: TestSuite(s).run() sage: SetPartition([]) {} """ ClonableArray.__init__(self, parent, sorted(map(Set, s), key=min)) def check(self): """ Check that we are a valid ordered set partition. EXAMPLES:: sage: OS = OrderedSetPartitions(4) sage: s = OS([[1, 3], [2, 4]]) sage: s.check() """ assert self in self.parent() def __hash__(self): """ Return the hash of ``self``. The parent is not included as part of the hash. EXAMPLES:: sage: P = SetPartitions(4) sage: A = SetPartition([[1], [2,3], [4]]) sage: B = P([[1], [2,3], [4]]) sage: hash(A) == hash(B) True """ return sum(hash(x) for x in self) def __eq__(self, y): """ Check equality of ``self`` and ``y``. The parent is not included as part of the equality check. EXAMPLES:: sage: P = SetPartitions(4) sage: A = SetPartition([[1], [2,3], [4]]) sage: B = P([[1], [2,3], [4]]) sage: A == B True sage: C = P([[2, 3], [1], [4]]) sage: A == C True sage: D = P([[1], [2, 4], [3]]) sage: A == D False """ if not isinstance(y, SetPartition): return False return list(self) == list(y) def __lt__(self, y): """ Check that ``self`` is less than ``y``. The ordering used is lexicographic, where: - a set partition is considered as the list of its parts sorted by increasing smallest element; - each part is regarded as a list of its elements, sorted in increasing order; - the parts themselves are compared lexicographically. EXAMPLES:: sage: P = SetPartitions(4) sage: A = P([[1], [2,3], [4]]) sage: B = SetPartition([[1,2,3], [4]]) sage: A < B True sage: C = P([[1,2,4], [3]]) sage: B < C True sage: B < B False sage: D = P([[1,4], [2], [3]]) sage: E = P([[1,4], [2,3]]) sage: D < E True sage: F = P([[1,2,4], [3]]) sage: E < C False sage: A < E True sage: A < C True """ if not isinstance(y, SetPartition): return False return [sorted(_) for _ in self] < [sorted(_) for _ in y] def __gt__(self, y): """ Check that ``self`` is greater than ``y``. The ordering used is lexicographic, where: - a set partition is considered as the list of its parts sorted by increasing smallest element; - each part is regarded as a list of its elements, sorted in increasing order; - the parts themselves are compared lexicographically. EXAMPLES:: sage: P = SetPartitions(4) sage: A = P([[1], [2,3], [4]]) sage: B = SetPartition([[1,2,3], [4]]) sage: B > A True sage: A > B False """ if not isinstance(y, SetPartition): return False return [sorted(_) for _ in self] > [sorted(_) for _ in y] def __le__(self, y): """ Check that ``self`` is less than or equals ``y``. The ordering used is lexicographic, where: - a set partition is considered as the list of its parts sorted by increasing smallest element; - each part is regarded as a list of its elements, sorted in increasing order; - the parts themselves are compared lexicographically. EXAMPLES:: sage: P = SetPartitions(4) sage: A = P([[1], [2,3], [4]]) sage: B = SetPartition([[1,2,3], [4]]) sage: A <= B True sage: A <= A True """ return self.__eq__(y) or self.__lt__(y) def __ge__(self, y): """ Check that ``self`` is greater than or equals ``y``. The ordering used is lexicographic, where: - a set partition is considered as the list of its parts sorted by increasing smallest element; - each part is regarded as a list of its elements, sorted in increasing order; - the parts themselves are compared lexicographically. EXAMPLES:: sage: P = SetPartitions(4) sage: A = P([[1], [2,3], [4]]) sage: B = SetPartition([[1,2,3], [4]]) sage: B >= A True sage: B >= B True """ return self.__eq__(y) or self.__gt__(y) def _cmp_(self, y): """ Return the result of ``cmp``. EXAMPLES:: sage: P = SetPartitions(4) sage: A = P([[1], [2,3], [4]]) sage: B = SetPartition([[1,2,3], [4]]) sage: A < B True sage: cmp(A, B) -1 sage: cmp(B, A) 1 """ if self < y: return -1 if self > y: return 1 return 0 __cmp__ = _cmp_ def __mul__(self, other): r""" The product of the set partitions ``self`` and ``other``. The product of two set partitions `B` and `C` is defined as the set partition whose parts are the nonempty intersections between each part of `B` and each part of `C`. This product is also the infimum of `B` and `C` in the classical set partition lattice (that is, the coarsest set partition which is finer than each of `B` and `C`). Consequently, ``inf`` acts as an alias for this method. .. SEEALSO:: :meth:`sup` EXAMPLES:: sage: x = SetPartition([ [1,2], [3,5,4] ]) sage: y = SetPartition(( (3,1,2), (5,4) )) sage: x * y {{1, 2}, {3}, {4, 5}} sage: S = SetPartitions(4) sage: sp1 = S([[2,3,4], [1]]) sage: sp2 = S([[1,3], [2,4]]) sage: s = S([[2,4], [3], [1]]) sage: sp1.inf(sp2) == s True TESTS: Here is a different implementation of the ``__mul__`` method (one that was formerly used for the ``inf`` method, before it was realized that the methods do the same thing):: sage: def mul2(s, t): ....: temp = [ss.intersection(ts) for ss in s for ts in t] ....: temp = filter(lambda x: x != Set([]), temp) ....: return s.__class__(s.parent(), temp) Let us check that this gives the same as ``__mul__`` on set partitions of `\{1, 2, 3, 4\}`:: sage: all( all( mul2(s, t) == s * t for s in SetPartitions(4) ) ....: for t in SetPartitions(4) ) True """ new_composition = [] for B in self: for C in other: BintC = B.intersection(C) if BintC: new_composition.append(BintC) return SetPartition(new_composition) inf = __mul__ def _repr_(self): """ Return a string representation of ``self``. EXAMPLES:: sage: S = SetPartitions(4) sage: S([[1,3],[2,4]]) {{1, 3}, {2, 4}} """ return '{' + ', '.join(('{' + repr(sorted(x))[1:-1] + '}' for x in self)) + '}' def _latex_(self): r""" Return a `\LaTeX` string representation of ``self``. EXAMPLES:: sage: x = SetPartition([[1,2], [3,5,4]]) sage: latex(x) \{\{1, 2\}, \{3, 4, 5\}\} """ return repr(self).replace("{",r"\{").replace("}",r"\}") cardinality = ClonableArray.__len__ def sup(self, t): """ Return the supremum of ``self`` and ``t`` in the classical set partition lattice. The supremum of two set partitions `B` and `C` is obtained as the transitive closure of the relation which relates `i` to `j` if and only if `i` and `j` are in the same part in at least one of the set partitions `B` and `C`. .. SEEALSO:: :meth:`__mul__` EXAMPLES:: sage: S = SetPartitions(4) sage: sp1 = S([[2,3,4], [1]]) sage: sp2 = S([[1,3], [2,4]]) sage: s = S([[1,2,3,4]]) sage: sp1.sup(sp2) == s True """ res = Set(list(self)) for p in t: inters = Set([x for x in list(res) if x.intersection(p) != Set([])]) res = res.difference(inters).union(_set_union(inters)) return SetPartition(res) def pipe(self, other): r""" Return the pipe of the set partitions ``self`` and ``other``. The pipe of two set partitions is defined as follows: For any integer `k` and any subset `I` of `\ZZ`, let `I + k` denote the subset of `\ZZ` obtained by adding `k` to every element of `k`. If `B` and `C` are set partitions of `[n]` and `[m]`, respectively, then the pipe of `B` and `C` is defined as the set partition .. MATH:: \{ B_1, B_2, \ldots, B_b, C_1 + n, C_2 + n, \ldots, C_c + n \} of `[n+m]`, where `B = \{ B_1, B_2, \ldots, B_b \}` and `C = \{ C_1, C_2, \ldots, C_c \}`. This pipe is denoted by `B | C`. EXAMPLES:: sage: SetPartition([[1,3],[2,4]]).pipe(SetPartition([[1,3],[2]])) {{1, 3}, {2, 4}, {5, 7}, {6}} sage: SetPartition([]).pipe(SetPartition([[1,2],[3,5],[4]])) {{1, 2}, {3, 5}, {4}} sage: SetPartition([[1,2],[3,5],[4]]).pipe(SetPartition([])) {{1, 2}, {3, 5}, {4}} sage: SetPartition([[1,2],[3]]).pipe(SetPartition([[1]])) {{1, 2}, {3}, {4}} """ # Note: GIGO if self and other are not standard. parts = list(self) n = self.base_set_cardinality() for newpart in other: raised_newpart = Set([i + n for i in newpart]) parts.append(raised_newpart) return SetPartition(parts) @combinatorial_map(name='shape') def shape(self): r""" Return the integer partition whose parts are the sizes of the sets in ``self``. EXAMPLES:: sage: S = SetPartitions(5) sage: x = S([[1,2], [3,5,4]]) sage: x.shape() [3, 2] sage: y = S([[2], [3,1], [5,4]]) sage: y.shape() [2, 2, 1] """ return Partition(sorted(map(len, self), reverse=True)) # we define aliases for shape() shape_partition = shape to_partition = shape @combinatorial_map(name='to permutation') def to_permutation(self): """ Convert ``self`` to a permutation by considering the partitions as cycles. EXAMPLES:: sage: s = SetPartition([[1,3],[2,4]]) sage: s.to_permutation() [3, 4, 1, 2] """ return Permutation(tuple( map(tuple, self.standard_form()) )) def standard_form(self): r""" Return ``self`` as a list of lists. This is not related to standard set partitions (which simply means set partitions of `[n] = \{ 1, 2, \ldots , n \}` for some integer `n`) or standardization (:meth:`standardization`). EXAMPLES:: sage: [x.standard_form() for x in SetPartitions(4, [2,2])] [[[1, 2], [3, 4]], [[1, 3], [2, 4]], [[1, 4], [2, 3]]] """ return [list(_) for _ in self] def apply_permutation(self, p): r""" Apply ``p`` to the underlying set of ``self``. INPUT: - ``p`` -- A permutation EXAMPLES:: sage: x = SetPartition([[1,2], [3,5,4]]) sage: p = Permutation([2,1,4,5,3]) sage: x.apply_permutation(p) {{1, 2}, {3, 4, 5}} sage: q = Permutation([3,2,1,5,4]) sage: x.apply_permutation(q) {{1, 4, 5}, {2, 3}} """ return self.__class__(self.parent(), [Set(map(p, B)) for B in self]) def is_noncrossing(self): r""" Check if ``self`` is noncrossing. EXAMPLES:: sage: x = SetPartition([[1,2],[3,4]]) sage: x.is_noncrossing() True sage: x = SetPartition([[1,3],[2,4]]) sage: x.is_noncrossing() False AUTHOR: Florent Hivert """ l = list(self) mins = [min(_) for _ in l] maxs = [max(_) for _ in l] for i in range(1, len(l)): for j in range(i): poss = [mins[i], maxs[i], mins[j], maxs[j]] possort = sorted(poss) cont = [possort.index(mins[i]), possort.index(maxs[i])] if cont == [0,2] or cont == [1,3]: return False if (cont == [0,3] and any(mins[j] < x < maxs[j] for x in l[i])): return False if (cont == [1,2] and any(mins[i] < x < maxs[i] for x in l[j])): return False return True def is_atomic(self): """ Return if ``self`` is an atomic set partition. A (standard) set partition `A` can be split if there exist `j < i` such that `\max(A_j) < \min(A_i)` where `A` is ordered by minimal elements. This means we can write `A = B | C` for some nonempty set partitions `B` and `C`. We call a set partition *atomic* if it cannot be split and is nonempty. Here, the pipe symbol `|` is as defined in method :meth:`pipe`. EXAMPLES:: sage: SetPartition([[1,3], [2]]).is_atomic() True sage: SetPartition([[1,3], [2], [4]]).is_atomic() False sage: SetPartition([[1], [2,4], [3]]).is_atomic() False sage: SetPartition([[1,2,3,4]]).is_atomic() True sage: SetPartition([[1, 4], [2], [3]]).is_atomic() True sage: SetPartition([]).is_atomic() False """ if len(self) == 0: return False maximum_so_far = max(self[0]) for S in self[1:]: if maximum_so_far < min(S): return False maximum_so_far = max(maximum_so_far, max(S)) return True def base_set(self): """ Return the base set of ``self``, which is the union of all parts of ``self``. EXAMPLES:: sage: SetPartition([[1], [2,3], [4]]).base_set() {1, 2, 3, 4} sage: SetPartition([[1,2,3,4]]).base_set() {1, 2, 3, 4} sage: SetPartition([]).base_set() {} """ return reduce(lambda x,y: x.union(y), self, Set([])) def base_set_cardinality(self): """ Return the cardinality of the base set of ``self``, which is the sum of the sizes of the parts of ``self``. This is also known as the *size* (sometimes the *weight*) of a set partition. EXAMPLES:: sage: SetPartition([[1], [2,3], [4]]).base_set_cardinality() 4 sage: SetPartition([[1,2,3,4]]).base_set_cardinality() 4 """ return sum(len(x) for x in self) size = base_set_cardinality def standardization(self): """ Return the standardization of ``self``. Given a set partition `A = \{A_1, \ldots, A_n\}` of an ordered set `S`, the standardization of `A` is the set partition of `\{1, 2, \ldots, |S|\}` obtained by replacing the elements of the parts of `A` by the integers `1, 2, \ldots, |S|` in such a way that their relative order is preserved (i. e., the smallest element in the whole set partition is replaced by `1`, the next-smallest by `2`, and so on). EXAMPLES:: sage: SetPartition([[4], [1, 3]]).standardization() {{1, 2}, {3}} sage: SetPartition([[4], [6, 3]]).standardization() {{1, 3}, {2}} sage: SetPartition([]).standardization() {} """ if len(self) == 0: return self temp = [list(_) for _ in self] mins = [min(p) for p in temp] over_max = max([max(p) for p in temp]) + 1 ret = [[] for i in range(len(temp))] cur = 1 while min(mins) != over_max: m = min(mins) i = mins.index(m) ret[i].append(cur) cur += 1 temp[i].pop(temp[i].index(m)) if len(temp[i]) != 0: mins[i] = min(temp[i]) else: mins[i] = over_max return SetPartition(ret) def restriction(self, I): """ Return the restriction of ``self`` to a subset ``I`` (which is given as a set or list or any other iterable). EXAMPLES:: sage: A = SetPartition([[1], [2,3]]) sage: A.restriction([1,2]) {{1}, {2}} sage: A.restriction([2,3]) {{2, 3}} sage: A.restriction([]) {} sage: A.restriction([4]) {} """ ret = [] for part in self: newpart = [i for i in part if i in I] if len(newpart) != 0: ret.append(newpart) return SetPartition(ret) def ordered_set_partition_action(self, s): r""" Return the action of an ordered set partition ``s`` on ``self``. Let `A = \{A_1, A_2, \ldots, A_k\}` be a set partition of some set `S` and `s` be an ordered set partition (i.e., set composition) of a subset of `[k]`. Let `A^{\downarrow}` denote the standardization of `A`, and `A_{\{ i_1, i_2, \ldots, i_m \}}` denote the sub-partition `\{A_{i_1}, A_{i_2}, \ldots, A_{i_m}\}` for any subset `\{i_1, \ldots, i_m\}` of `\{1, \ldots, k\}`. We define the set partition `s(A)` by .. MATH:: s(A) = A_{s_1}^{\downarrow} | A_{s_2}^{\downarrow} | \cdots | A_{s_q}^{\downarrow}. where `s = (s_1, s_2, \ldots, s_q)`. Here, the pipe symbol `|` is as defined in method :meth:`pipe`. This is `s[A]` in section 2.3 in [LM2011]_. INPUT: - ``s`` -- an ordered set partition with base set a subset of `\{1, \ldots, k\}` EXAMPLES:: sage: A = SetPartition([[1], [2,4], [3]]) sage: s = OrderedSetPartition([[1,3], [2]]) sage: A.ordered_set_partition_action(s) {{1}, {2}, {3, 4}} sage: s = OrderedSetPartition([[2,3], [1]]) sage: A.ordered_set_partition_action(s) {{1, 3}, {2}, {4}} We create Figure 1 in [LM2011]_ (we note that there is a typo in the lower-left corner of the table in the published version of the paper, whereas the arXiv version gives the correct partition):: sage: A = SetPartition([[1,3], [2,9], [4,5,8], [7]]) sage: B = SetPartition([[1,3], [2,8], [4,5,6], [7]]) sage: C = SetPartition([[1,5], [2,8], [3,4,6], [7]]) sage: s = OrderedSetPartition([[1,3], [2]]) sage: t = OrderedSetPartition([[2], [3,4]]) sage: u = OrderedSetPartition([[1], [2,3,4]]) sage: A.ordered_set_partition_action(s) {{1, 2}, {3, 4, 5}, {6, 7}} sage: A.ordered_set_partition_action(t) {{1, 2}, {3, 4, 6}, {5}} sage: A.ordered_set_partition_action(u) {{1, 2}, {3, 8}, {4, 5, 7}, {6}} sage: B.ordered_set_partition_action(s) {{1, 2}, {3, 4, 5}, {6, 7}} sage: B.ordered_set_partition_action(t) {{1, 2}, {3, 4, 5}, {6}} sage: B.ordered_set_partition_action(u) {{1, 2}, {3, 8}, {4, 5, 6}, {7}} sage: C.ordered_set_partition_action(s) {{1, 4}, {2, 3, 5}, {6, 7}} sage: C.ordered_set_partition_action(t) {{1, 2}, {3, 4, 5}, {6}} sage: C.ordered_set_partition_action(u) {{1, 2}, {3, 8}, {4, 5, 6}, {7}} REFERENCES: .. [LM2011] A. Lauve, M. Mastnak. *The primitives and antipode in the Hopf algebra of symmetric functions in noncommuting variables*. Advances in Applied Mathematics. **47** (2011). 536-544. :arxiv:`1006.0367v3` :doi:`10.1016/j.aam.2011.01.002`. """ cur = 1 ret = [] for part in s: sub_parts = [list(self[i-1]) for i in part] # -1 for indexing # Standardizing sub_parts (the cur variable not being reset # to 1 gives us the offset we want): mins = [min(_) for _ in sub_parts] over_max = max(map(max, sub_parts)) + 1 temp = [[] for i in range(len(part))] while min(mins) != over_max: m = min(mins) i = mins.index(m) temp[i].append(cur) cur += 1 sub_parts[i].pop(sub_parts[i].index(m)) if len(sub_parts[i]) != 0: mins[i] = min(sub_parts[i]) else: mins[i] = over_max ret += temp return SetPartition(ret) def refinements(self): """ Return a list of refinements of ``self``. EXAMPLES:: sage: SetPartition([[1,3],[2,4]]).refinements() [{{1, 3}, {2, 4}}, {{1, 3}, {2}, {4}}, {{1}, {2, 4}, {3}}, {{1}, {2}, {3}, {4}}] sage: SetPartition([[1],[2,4],[3]]).refinements() [{{1}, {2, 4}, {3}}, {{1}, {2}, {3}, {4}}] sage: SetPartition([]).refinements() [{}] """ L = [SetPartitions(part) for part in self] return [SetPartition(sum(map(list, x), [])) for x in CartesianProduct(*L)] def coarsenings(self): """ Return a list of coarsenings of ``self``. EXAMPLES:: sage: SetPartition([[1,3],[2,4]]).coarsenings() [{{1, 2, 3, 4}}, {{1, 3}, {2, 4}}] sage: SetPartition([[1],[2,4],[3]]).coarsenings() [{{1, 2, 3, 4}}, {{1}, {2, 3, 4}}, {{1, 3}, {2, 4}}, {{1, 2, 4}, {3}}, {{1}, {2, 4}, {3}}] sage: SetPartition([]).coarsenings() [{}] """ SP = SetPartitions(len(self)) def union(s): # Return the partition obtained by combining, for every # part of s, those parts of self which are indexed by # the elements of this part of s into a single part. ret = [] for part in s: cur = Set([]) for i in part: cur = cur.union(self[i-1]) # -1 for indexing ret.append(cur) return ret return [SetPartition(union(s)) for s in SP] def strict_coarsenings(self): r""" Return all strict coarsenings of ``self``. Strict coarsening is the binary relation on set partitions defined as the transitive-and-reflexive closure of the relation `\prec` defined as follows: For two set partitions `A` and `B`, we have `A \prec B` if there exist parts `A_i, A_j` of `A` such that `\max(A_i) < \min(A_j)` and `B = A \setminus \{A_i, A_j\} \cup \{ A_i \cup A_j \}`. EXAMPLES:: sage: A = SetPartition([[1],[2,3],[4]]) sage: A.strict_coarsenings() [{{1}, {2, 3}, {4}}, {{1, 2, 3}, {4}}, {{1, 4}, {2, 3}}, {{1}, {2, 3, 4}}, {{1, 2, 3, 4}}] sage: SetPartition([[1],[2,4],[3]]).strict_coarsenings() [{{1}, {2, 4}, {3}}, {{1, 2, 4}, {3}}, {{1, 3}, {2, 4}}] sage: SetPartition([]).strict_coarsenings() [{}] """ # This is more or less generic code for computing a # transitive-and-reflexive closure by depth-first search. todo = [self] visited = set([self]) ret = [self] while todo: A = todo.pop() for i, part in enumerate(A): for j, other in enumerate(A[i+1:]): if max(part) < min(other): next = A[:i] next.append(part.union(other)) next += A[i+1:i+1+j] + A[i+j+2:] next = SetPartition(next) if next not in visited: todo.append(next) visited.add(next) ret.append(next) return ret def arcs(self): r""" Return ``self`` as a list of arcs. Consider a set partition `X = \{X_1, X_2, \ldots, X_n\}`, then the arcs are the pairs `i - j` such that `i,j \in X_k` for some `k`. EXAMPLES:: sage: A = SetPartition([[1],[2,3],[4]]) sage: A.arcs() [(2, 3)] sage: B = SetPartition([[1,3,6,7],[2,5],[4]]) sage: B.arcs() [(1, 3), (3, 6), (6, 7), (2, 5)] """ arcs = [] for p in self: p = sorted(p) for i in range(len(p)-1): arcs.append((p[i], p[i+1])) return arcs class SetPartitions(Parent, UniqueRepresentation): r""" An (unordered) partition of a set `S` is a set of pairwise disjoint nonempty subsets with union `S`, and is represented by a sorted list of such subsets. ``SetPartitions(s)`` returns the class of all set partitions of the set ``s``, which can be given as a set or a string; if a string, each character is considered an element. ``SetPartitions(n)``, where ``n`` is an integer, returns the class of all set partitions of the set `\{1, 2, \ldots, n\}`. You may specify a second argument `k`. If `k` is an integer, :class:`SetPartitions` returns the class of set partitions into `k` parts; if it is an integer partition, :class:`SetPartitions` returns the class of set partitions whose block sizes correspond to that integer partition. The Bell number `B_n`, named in honor of Eric Temple Bell, is the number of different partitions of a set with `n` elements. EXAMPLES:: sage: S = [1,2,3,4] sage: SetPartitions(S,2) Set partitions of {1, 2, 3, 4} with 2 parts sage: SetPartitions([1,2,3,4], [3,1]).list() [{{1}, {2, 3, 4}}, {{1, 3, 4}, {2}}, {{1, 2, 4}, {3}}, {{1, 2, 3}, {4}}] sage: SetPartitions(7, [3,3,1]).cardinality() 70 In strings, repeated letters are not considered distinct as of :trac:`14140`:: sage: SetPartitions('abcde').cardinality() 52 sage: SetPartitions('aabcd').cardinality() 15 REFERENCES: - :wikipedia:`Partition_of_a_set` """ @staticmethod def __classcall_private__(cls, s=None, part=None): """ Normalize input to ensure a unique representation. EXAMPLES:: sage: S = SetPartitions(4) sage: T = SetPartitions([1,2,3,4]) sage: S is T True """ if s is None: return SetPartitions_all() if isinstance(s, (int, Integer)): s = frozenset(range(1, s+1)) else: try: if s.cardinality() == infinity: raise ValueError("The set must be finite") except AttributeError: pass s = frozenset(s) if part is not None: if isinstance(part, (int, Integer)): if len(s) < part: raise ValueError("part must be <= len(set)") else: return SetPartitions_setn(s, part) else: if part not in Partitions(len(s)): raise ValueError("part must be a partition of %s"%len(s)) else: return SetPartitions_setparts(s, Partition(part)) else: return SetPartitions_set(s) def __contains__(self, x): """ TESTS:: sage: S = SetPartitions(4, [2,2]) sage: SA = SetPartitions() sage: all([sp in SA for sp in S]) True sage: Set([Set([1,2]),Set([3,7])]) in SA True sage: Set([Set([1,2]),Set([2,3])]) in SA False sage: Set([]) in SA True """ # x must be a set if not (isinstance(x, (SetPartition, set, frozenset)) or is_Set(x)): return False # Check that all parts are disjoint base_set = reduce( lambda x,y: x.union(y), map(Set, x), Set([]) ) if len(base_set) != sum(map(len, x)): return False # Check to make sure each element of x is a set for s in x: if not (isinstance(s, (set, frozenset)) or is_Set(s)): return False return True def _element_constructor_(self, s): """ Construct an element of ``self`` from ``s``. INPUT: - ``s`` -- A set of sets EXAMPLES:: sage: S = SetPartitions(4) sage: elt = S([[1,3],[2,4]]); elt {{1, 3}, {2, 4}} sage: P = SetPartitions() sage: P(elt).parent() is P True sage: S = SetPartitions([]) sage: S([]) {} """ if isinstance(s, SetPartition): if s.parent() is self: return s if isinstance(s.parent(), SetPartitions): return self.element_class(self, list(s)) raise ValueError("cannot convert %s into an element of %s"%(s, self)) return self.element_class(self, s) Element = SetPartition def _iterator_part(self, part): """ Return an iterator for the set partitions with block sizes corresponding to the partition ``part``. INPUT: - ``part`` -- a :class:`Partition` object EXAMPLES:: sage: S = SetPartitions(3) sage: it = S._iterator_part(Partition([1,1,1])) sage: list(sorted(map(list, next(it)))) [[1], [2], [3]] sage: S21 = SetPartitions(3,Partition([2,1])) sage: len(list(S._iterator_part(Partition([2,1])))) == S21.cardinality() True """ nonzero = [] expo = [0]+part.to_exp() for i in range(len(expo)): if expo[i] != 0: nonzero.append([i, expo[i]]) taillesblocs = [(x[0])*(x[1]) for x in nonzero] blocs = OrderedSetPartitions(self._set, taillesblocs) for b in blocs: lb = [IterableFunctionCall(_listbloc, nonzero[i][0], nonzero[i][1], b[i]) for i in range(len(nonzero))] for x in itertools.imap(lambda x: _union(x), CartesianProduct( *lb )): yield x def is_less_than(self, s, t): r""" Check if `s < t` in the refinement ordering on set partitions. This means that `s` is a refinement of `t` and satisfies `s \neq t`. A set partition `s` is said to be a refinement of a set partition `t` of the same set if and only if each part of `s` is a subset of a part of `t`. EXAMPLES:: sage: S = SetPartitions(4) sage: s = S([[1,3],[2,4]]) sage: t = S([[1],[2],[3],[4]]) sage: S.is_less_than(t, s) True sage: S.is_less_than(s, t) False sage: S.is_less_than(s, s) False """ if hasattr(s.parent(), "_set"): S = s.parent()._set else: S = s.base_set() if hasattr(t.parent(), "_set"): T = t.parent()._set else: T = t.base_set() if S != T: raise ValueError("cannot compare partitions of different sets") if s == t: return False for p in s: if len([ z for z in list(t) if z.intersection(p) != Set([]) ]) != 1: return False return True lt = is_less_than def is_strict_refinement(self, s, t): r""" Return ``True`` if ``s`` is a strict refinement of ``t`` and satisfies `s \neq t`. A set partition `s` is said to be a strict refinement of a set partition `t` of the same set if and only if one can obtain `t` from `s` by repeatedly combining pairs of parts whose convex hulls don't intersect (i. e., whenever we are combining two parts, the maximum of each of them should be smaller than the minimum of the other). EXAMPLES:: sage: S = SetPartitions(4) sage: s = S([[1],[2],[3],[4]]) sage: t = S([[1,3],[2,4]]) sage: u = S([[1,2,3,4]]) sage: S.is_strict_refinement(s, t) True sage: S.is_strict_refinement(t, u) False sage: A = SetPartition([[1,3],[2,4]]) sage: B = SetPartition([[1,2,3,4]]) sage: S.is_strict_refinement(s, A) True sage: S.is_strict_refinement(t, B) False """ if hasattr(s.parent(), "_set"): S = s.parent()._set else: S = frozenset(s.base_set()) if hasattr(t.parent(), "_set"): T = t.parent()._set else: T = frozenset(t.base_set()) if S != T: raise ValueError("cannot compare partitions of different sets") if s == t: return False for p in t: L = [x for x in list(s) if x.issubset(p)] if sum(len(x) for x in L) != len(p) \ or any(max(L[i]) > min(L[i+1]) for i in range(len(L)-1)): return False return True class SetPartitions_all(SetPartitions): r""" All set partitions. """ def __init__(self): """ Initialize ``self``. EXAMPLES:: sage: S = SetPartitions() sage: TestSuite(S).run() """ SetPartitions.__init__(self, category=InfiniteEnumeratedSets()) def _repr_(self): """ Return a string representation of ``self``. EXAMPLES:: sage: SetPartitions() Set partitions """ return "Set partitions" def __iter__(self): """ Iterate over ``self``. EXAMPLES:: sage: it = SetPartitions().__iter__() sage: [next(it) for x in range(10)] [{}, {{1}}, {{1, 2}}, {{1}, {2}}, {{1, 2, 3}}, {{1}, {2, 3}}, {{1, 3}, {2}}, {{1, 2}, {3}}, {{1}, {2}, {3}}, {{1, 2, 3, 4}}] """ n = 0 while True: for x in SetPartitions_set(frozenset(range(1, n+1))): yield self.element_class(self, list(x)) n += 1 class SetPartitions_set(SetPartitions): """ Set partitions of a fixed set `S`. """ @staticmethod def __classcall_private__(cls, s): """ Normalize ``s`` to ensure a unique representation. EXAMPLES:: sage: S1 = SetPartitions(set([2,1,4])) sage: S2 = SetPartitions([4,1,2]) sage: S3 = SetPartitions((1,2,4)) sage: S1 is S2, S1 is S3 (True, True) """ return super(SetPartitions_set, cls).__classcall__(cls, frozenset(s)) def __init__(self, s): """ Initialize ``self``. EXAMPLES:: sage: S = SetPartitions(3) sage: TestSuite(S).run() sage: SetPartitions(0).list() [{}] sage: SetPartitions([]).list() [{}] """ self._set = s SetPartitions.__init__(self, category=FiniteEnumeratedSets()) def _repr_(self): """ TESTS:: sage: SetPartitions([1,2,3]) Set partitions of {1, 2, 3} """ return "Set partitions of %s"%(Set(self._set)) def __contains__(self, x): """ TESTS:: sage: S = SetPartitions(4, [2,2]) sage: all([sp in S for sp in S]) True sage: SetPartition([[1,3],[2,4]]) in SetPartitions(3) False sage: SetPartition([[1,3],[2,4]]) in SetPartitions(4, [3,1]) False sage: SetPartition([[2],[1,3,4]]) in SetPartitions(4, [3,1]) True """ # Must pass the general check if not SetPartitions.__contains__(self, x): return False # Make sure that the number of elements match up if sum(map(len, x)) != len(self._set): return False # Make sure that the union of all the sets is the original set if reduce(lambda u, s: u.union(Set(s)), x, Set([])) != Set(self._set): return False return True def cardinality(self): """ Return the number of set partitions of the set `S`. The cardinality is given by the `n`-th Bell number where `n` is the number of elements in the set `S`. EXAMPLES:: sage: SetPartitions([1,2,3,4]).cardinality() 15 sage: SetPartitions(3).cardinality() 5 sage: SetPartitions(3,2).cardinality() 3 sage: SetPartitions([]).cardinality() 1 """ return bell_number(len(self._set)) def __iter__(self): """ Iterate over ``self``. EXAMPLES:: sage: SetPartitions(3).list() [{{1, 2, 3}}, {{1}, {2, 3}}, {{1, 3}, {2}}, {{1, 2}, {3}}, {{1}, {2}, {3}}] """ for p in Partitions(len(self._set)): for sp in self._iterator_part(p): yield self.element_class(self, sp) def base_set(self): """ Return the base set of ``self``. EXAMPLES:: sage: SetPartitions(3).base_set() {1, 2, 3} """ return Set(self._set) def base_set_cardinality(self): """ Return the cardinality of the base set of ``self``. EXAMPLES:: sage: SetPartitions(3).base_set_cardinality() 3 """ return len(self._set) class SetPartitions_setparts(SetPartitions_set): r""" Class of all set partitions with fixed partition sizes corresponding to an integer partition `\lambda`. """ @staticmethod def __classcall_private__(cls, s, parts): """ Normalize input to ensure a unique representation. EXAMPLES:: sage: S = SetPartitions(4, [2,2]) sage: T = SetPartitions([1,2,3,4], Partition([2,2])) sage: S is T True """ if isinstance(s, (int, Integer)): s = xrange(1, s+1) return super(SetPartitions_setparts, cls).__classcall__(cls, frozenset(s), Partition(parts)) def __init__(self, s, parts): """ TESTS:: sage: S = SetPartitions(4, [2,2]) sage: TestSuite(S).run() """ SetPartitions_set.__init__(self, s) self.parts = parts def _repr_(self): """ TESTS:: sage: SetPartitions(4, [2,2]) Set partitions of {1, 2, 3, 4} with sizes in [2, 2] """ return "Set partitions of %s with sizes in %s"%(Set(self._set), self.parts) def cardinality(self): r""" Return the cardinality of ``self``. This algorithm counts for each block of the partition the number of ways to fill it using values from the set. Then, for each distinct value `v` of block size, we divide the result by the number of ways to arrange the blocks of size `v` in the set partition. For example, if we want to count the number of set partitions of size 13 having [3,3,3,2,2] as underlying partition we compute the number of ways to fill each block of the partition, which is `\binom{13}{3} \binom{10}{3} \binom{7}{3} \binom{4}{2}\binom{2}{2}` and as we have three blocks of size `3` and two blocks of size `2`, we divide the result by `3!2!` which gives us `600600`. EXAMPLES:: sage: SetPartitions(3, [2,1]).cardinality() 3 sage: SetPartitions(13, Partition([3,3,3,2,2])).cardinality() 600600 TESTS:: sage: all((len(SetPartitions(size, part)) == SetPartitions(size, part).cardinality() for size in range(8) for part in Partitions(size))) True sage: sum((SetPartitions(13, p).cardinality() for p in Partitions(13))) == SetPartitions(13).cardinality() True """ from sage.misc.misc_c import prod remaining_subset_size = Integer(len(self._set)) cardinal = Integer(1) for subset_size in self.parts: cardinal *= remaining_subset_size.binomial(subset_size) remaining_subset_size -= subset_size repetitions = (Integer(rep).factorial() for rep in self.parts.to_exp_dict().values() if rep != 1) cardinal /= prod(repetitions) return Integer(cardinal) def __iter__(self): """ An iterator for all the set partitions of the given set with the given sizes. EXAMPLES:: sage: SetPartitions(3, [2,1]).list() [{{1}, {2, 3}}, {{1, 3}, {2}}, {{1, 2}, {3}}] """ for sp in self._iterator_part(self.parts): yield self.element_class(self, sp) def __contains__(self, x): """ Check containment. TESTS:: sage: S = SetPartitions(4, [3,1]) sage: Set([Set([1,2,3]), Set([4])]) in S True sage: Set([Set([1,3]), Set([2,4])]) in S False sage: Set([Set([1,2,3,4])]) in S False """ if not SetPartitions_set.__contains__(self, x): return False return sorted(map(len, x)) == list(reversed(self.parts)) class SetPartitions_setn(SetPartitions_set): @staticmethod def __classcall_private__(cls, s, n): """ Normalize ``s`` to ensure a unique representation. EXAMPLES:: sage: S1 = SetPartitions(set([2,1,4]), 2) sage: S2 = SetPartitions([4,1,2], 2) sage: S3 = SetPartitions((1,2,4), 2) sage: S1 is S2, S1 is S3 (True, True) """ return super(SetPartitions_setn, cls).__classcall__(cls, frozenset(s), n) def __init__(self, s, n): """ TESTS:: sage: S = SetPartitions(5, 3) sage: TestSuite(S).run() """ self.n = n SetPartitions_set.__init__(self, s) def _repr_(self): """ TESTS:: sage: SetPartitions(5, 3) Set partitions of {1, 2, 3, 4, 5} with 3 parts """ return "Set partitions of %s with %s parts"%(Set(self._set), self.n) def cardinality(self): """ The Stirling number of the second kind is the number of partitions of a set of size `n` into `k` blocks. EXAMPLES:: sage: SetPartitions(5, 3).cardinality() 25 sage: stirling_number2(5,3) 25 """ return stirling_number2(len(self._set), self.n) def __iter__(self): """ Iterate over ``self``. EXAMPLES:: sage: SetPartitions(3).list() [{{1, 2, 3}}, {{1}, {2, 3}}, {{1, 3}, {2}}, {{1, 2}, {3}}, {{1}, {2}, {3}}] """ for p in Partitions(len(self._set), length=self.n): for sp in self._iterator_part(p): yield self.element_class(self, sp) def __contains__(self, x): """ Check containment. TESTS:: sage: S = SetPartitions(4, 2) sage: Set([Set([1,2,3]), Set([4])]) in S True sage: Set([Set([1,3]), Set([2,4])]) in S True sage: Set([Set([1,2,3,4])]) in S False """ if not SetPartitions_set.__contains__(self, x): return False return len(x) == self.n def _listbloc(n, nbrepets, listint=None): r""" Decompose a set of `n \times n` ``brepets`` integers (the list ``listint``) in ``nbrepets`` parts. It is used in the algorithm to generate all set partitions. .. WARNING:: Internal function that is not to be called by the user. EXAMPLES:: sage: list(sage.combinat.set_partition._listbloc(2,1)) [{{1, 2}}] sage: l = [Set([Set([3, 4]), Set([1, 2])]), Set([Set([2, 4]), Set([1, 3])]), Set([Set([2, 3]), Set([1, 4])])] sage: list(sage.combinat.set_partition._listbloc(2,2,[1,2,3,4])) == l True """ if isinstance(listint, (int, Integer)) or listint is None: listint = Set(range(1,n+1)) if nbrepets == 1: yield Set([listint]) return l = sorted(listint) smallest = Set(l[:1]) new_listint = Set(l[1:]) f = lambda u, v: u.union(_set_union([smallest,v])) for ssens in subset.Subsets(new_listint, n-1): for z in _listbloc(n, nbrepets-1, new_listint-ssens): yield f(z,ssens) def _union(s): """ TESTS:: sage: s = Set([ Set([1,2]), Set([3,4]) ]) sage: sage.combinat.set_partition._union(s) {1, 2, 3, 4} """ result = Set([]) for ss in s: result = result.union(ss) return result def _set_union(s): """ TESTS:: sage: s = Set([ Set([1,2]), Set([3,4]) ]) sage: sage.combinat.set_partition._set_union(s) {{1, 2, 3, 4}} """ result = Set([]) for ss in s: result = result.union(ss) return Set([result]) def inf(s,t): """ Deprecated in :trac:`14140`. Use :meth:`SetPartition.inf()` instead. EXAMPLES:: sage: sp1 = Set([Set([2,3,4]),Set([1])]) sage: sp2 = Set([Set([1,3]), Set([2,4])]) sage: s = Set([ Set([2,4]), Set([3]), Set([1])]) #{{2, 4}, {3}, {1}} sage: sage.combinat.set_partition.inf(sp1, sp2) == s doctest:...: DeprecationWarning: inf(s, t) is deprecated. Use s.inf(t) instead. See http://trac.sagemath.org/14140 for details. True """ from sage.misc.superseded import deprecation deprecation(14140, 'inf(s, t) is deprecated. Use s.inf(t) instead.') temp = [ss.intersection(ts) for ss in s for ts in t] temp = [x for x in temp if x != Set([])] return Set(temp) def sup(s,t): """ Deprecated in :trac:`14140`. Use :meth:`SetPartition.sup()` instead. EXAMPLES:: sage: sp1 = Set([Set([2,3,4]),Set([1])]) sage: sp2 = Set([Set([1,3]), Set([2,4])]) sage: s = Set([ Set([1,2,3,4]) ]) sage: sage.combinat.set_partition.sup(sp1, sp2) == s doctest:...: DeprecationWarning: sup(s, t) is deprecated. Use s.sup(t) instead. See http://trac.sagemath.org/14140 for details. True """ from sage.misc.superseded import deprecation deprecation(14140, 'sup(s, t) is deprecated. Use s.sup(t) instead.') res = s for p in t: inters = Set([x for x in list(res) if x.intersection(p) != Set([])]) res = res.difference(inters).union(_set_union(inters)) return res def standard_form(sp): """ Deprecated in :trac:`14140`. Use :meth:`SetPartition.standard_form()` instead. EXAMPLES:: sage: map(sage.combinat.set_partition.standard_form, SetPartitions(4, [2,2])) doctest:...: DeprecationWarning: standard_form(sp) is deprecated. Use sp.standard_form() instead. See http://trac.sagemath.org/14140 for details. [[[1, 2], [3, 4]], [[1, 3], [2, 4]], [[1, 4], [2, 3]]] """ from sage.misc.superseded import deprecation deprecation(14140, 'standard_form(sp) is deprecated. Use sp.standard_form() instead.') return [list(x) for x in sp] def less(s, t): """ Deprecated in :trac:`14140`. Use :meth:`SetPartitions.is_less_than()` instead. EXAMPLES:: sage: z = SetPartitions(3).list() sage: sage.combinat.set_partition.less(z[0], z[1]) doctest:...: DeprecationWarning: less(s, t) is deprecated. Use SetPartitions.is_less_tan(s, t) instead. See http://trac.sagemath.org/14140 for details. False """ from sage.misc.superseded import deprecation deprecation(14140, 'less(s, t) is deprecated. Use SetPartitions.is_less_tan(s, t) instead.') if _union(s) != _union(t): raise ValueError("cannot compare partitions of different sets") if s == t: return False for p in s: if len([ z for z in list(t) if z.intersection(p) != Set([]) ]) != 1: return False return True def cyclic_permutations_of_set_partition(set_part): """ Returns all combinations of cyclic permutations of each cell of the set partition. AUTHORS: - Robert L. Miller EXAMPLES:: sage: from sage.combinat.set_partition import cyclic_permutations_of_set_partition sage: cyclic_permutations_of_set_partition([[1,2,3,4],[5,6,7]]) [[[1, 2, 3, 4], [5, 6, 7]], [[1, 2, 4, 3], [5, 6, 7]], [[1, 3, 2, 4], [5, 6, 7]], [[1, 3, 4, 2], [5, 6, 7]], [[1, 4, 2, 3], [5, 6, 7]], [[1, 4, 3, 2], [5, 6, 7]], [[1, 2, 3, 4], [5, 7, 6]], [[1, 2, 4, 3], [5, 7, 6]], [[1, 3, 2, 4], [5, 7, 6]], [[1, 3, 4, 2], [5, 7, 6]], [[1, 4, 2, 3], [5, 7, 6]], [[1, 4, 3, 2], [5, 7, 6]]] """ return list(cyclic_permutations_of_set_partition_iterator(set_part)) def cyclic_permutations_of_set_partition_iterator(set_part): """ Iterates over all combinations of cyclic permutations of each cell of the set partition. AUTHORS: - Robert L. Miller EXAMPLES:: sage: from sage.combinat.set_partition import cyclic_permutations_of_set_partition_iterator sage: list(cyclic_permutations_of_set_partition_iterator([[1,2,3,4],[5,6,7]])) [[[1, 2, 3, 4], [5, 6, 7]], [[1, 2, 4, 3], [5, 6, 7]], [[1, 3, 2, 4], [5, 6, 7]], [[1, 3, 4, 2], [5, 6, 7]], [[1, 4, 2, 3], [5, 6, 7]], [[1, 4, 3, 2], [5, 6, 7]], [[1, 2, 3, 4], [5, 7, 6]], [[1, 2, 4, 3], [5, 7, 6]], [[1, 3, 2, 4], [5, 7, 6]], [[1, 3, 4, 2], [5, 7, 6]], [[1, 4, 2, 3], [5, 7, 6]], [[1, 4, 3, 2], [5, 7, 6]]] """ from sage.combinat.permutation import CyclicPermutations if len(set_part) == 1: for i in CyclicPermutations(set_part[0]): yield [i] else: for right in cyclic_permutations_of_set_partition_iterator(set_part[1:]): for perm in CyclicPermutations(set_part[0]): yield [perm] + right

31.515067

148

0.504807

daeeef092777560da767e254a741b2192a0df3fb

1,481

py

Python

2019-04-15/sqrt.py

williamsirotkin/archive

8c909e232ee979df9ba0c0c0384f2e4770b37cf7

[ "Unlicense" ]

2

2018-10-16T03:17:53.000Z

2018-10-16T17:49:10.000Z

2019-04-15/sqrt.py

williamsirotkin/archive

8c909e232ee979df9ba0c0c0384f2e4770b37cf7

[ "Unlicense" ]

null

2019-04-15/sqrt.py

williamsirotkin/archive

8c909e232ee979df9ba0c0c0384f2e4770b37cf7

[ "Unlicense" ]

null

def sqrt(n, accuracy=0.001): '''Compute the square root of `n`. The value of `n` must be between 0 and 16,777,216 (i.e. 2^24). This function implements a naive binary search. There are MUCH better algorithms, though most require a math background through Calc 2. See the Wikipedia page: <https://en.wikipedia.org/wiki/Methods_of_computing_square_roots> Most real-world software square root algorithms are based on the CORDIC method: <https://en.wikipedia.org/wiki/CORDIC> Arguments: n (int): The value to square-root. It must be between 0 and 16,777,216. accuracy (float): The error of the solution will be no greater than this value. Returns: float: The square root of ``n``. ''' # Check that the input is valid: 0 <= n <= 16777216. if n < 0: raise ValueError('input must not be negative') elif n == 0: return 0 elif n < 16777216: lo = accuracy # The smallest non-zero solution is equal to the accuracy. hi = 4096 elif n == 16777216: return 4096 else: raise ValueError('input must not be greater than or equal to 2^24') # Binary search until we reach the desired accuracy. while accuracy < hi - lo: mid = (hi + lo) / 2 if mid ** 2 <= n: lo = mid else: hi = mid # Return the average of the hi and lo estimates. return (hi + lo) / 2

30.854167

81

0.603646

2ac79377f8ef8c66f279e8c68c44c8bd61d87dbb

462

py

Python

mmpose/datasets/datasets/bottom_up/__init__.py

nightfuryyy/mmpose

910d9e31dd9d46e3329be1b7567e6309d70ab64c

[ "Apache-2.0" ]

1,775

2020-07-10T01:20:01.000Z

2022-03-31T16:31:50.000Z

mmpose/datasets/datasets/bottom_up/__init__.py

KHB1698/mmpose

93c3a742c540dfb4ca515ad545cef705a07d90b4

[ "Apache-2.0" ]

1,021

2020-07-11T11:40:24.000Z

2022-03-31T14:32:26.000Z

mmpose/datasets/datasets/bottom_up/__init__.py

KHB1698/mmpose

93c3a742c540dfb4ca515ad545cef705a07d90b4

[ "Apache-2.0" ]

477

2020-07-11T11:27:51.000Z

2022-03-31T09:42:25.000Z

# Copyright (c) OpenMMLab. All rights reserved. from .bottom_up_aic import BottomUpAicDataset from .bottom_up_coco import BottomUpCocoDataset from .bottom_up_coco_wholebody import BottomUpCocoWholeBodyDataset from .bottom_up_crowdpose import BottomUpCrowdPoseDataset from .bottom_up_mhp import BottomUpMhpDataset __all__ = [ 'BottomUpCocoDataset', 'BottomUpCrowdPoseDataset', 'BottomUpMhpDataset', 'BottomUpAicDataset', 'BottomUpCocoWholeBodyDataset' ]

38.5

76

0.844156

5b0eb8c5dd22d1e86d4fa6ea57e9ac9a9108c3dd

1,177

py

Python

Udemy/reversed.py

WSantos79/estudosPyCharm

dc75dd897574adf08f59fed70d556bb4f50dfe88

[ "MIT" ]

null

Udemy/reversed.py

WSantos79/estudosPyCharm

dc75dd897574adf08f59fed70d556bb4f50dfe88

[ "MIT" ]

null

Udemy/reversed.py

WSantos79/estudosPyCharm

dc75dd897574adf08f59fed70d556bb4f50dfe88

[ "MIT" ]

null

""" Reversed OBS: Não confunda com a função reverse() que estudamos nas listas. A função reverse() só funciona em listas. Já a função reversed() funciona com qualquer iteravel. Sua função é inverter o iterável. A função reversed() retorna um iterável chamado List Reverse Iterator """ lista = [1, 2, 3, 4, 5] res = reversed(lista) print(res) print(type(res)) # Podemos converter o elemento retornado para uma Lista, Tupla ou Conjunto # Lista print(list(reversed(lista))) # Tupla print(tuple(reversed(lista))) # Conjunto(Set) print(set(reversed(lista))) # Em conjuntos (SET), não definimos a ordem dos elementos # Podemos iterar sobre o reversed for letra in reversed('Wellington e Tarcia'): print(letra, end='') # Podemos fazer o mesmo sem o uso do For print('\n') print(''.join(list(reversed('Wellington e Tarcia')))) # Já vimos como fazer isso mais fácil com o slice de strings print('Wellington e Tarcia'[::-1]) # Podemos também utilizar o reversed() para fazer um loop for reverso for n in reversed(range(0, 10)): print(n) # Apesar que já vimos como fazer isso utilizando o próprio range() print('\n') for n in range(9, -1, -1): print(n)

21.017857

86

0.712829

c1b52e0dd99c0384abe55afa60e758a9044be965

477

py

Python

data/scripts/templates/object/tangible/mission/quest_item/shared_noren_krast_q2_needed.py

obi-two/GameServer

7d37024e2291a97d49522610cd8f1dbe5666afc2

[ "MIT" ]

20

2015-02-23T15:11:56.000Z

2022-03-18T20:56:48.000Z

data/scripts/templates/object/tangible/mission/quest_item/shared_noren_krast_q2_needed.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

null

data/scripts/templates/object/tangible/mission/quest_item/shared_noren_krast_q2_needed.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

20

2015-04-04T16:35:59.000Z

2022-03-24T14:54:37.000Z

#### NOTICE: THIS FILE IS AUTOGENERATED #### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY #### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES from swgpy.object import * def create(kernel): result = Tangible() result.template = "object/tangible/mission/quest_item/shared_noren_krast_q2_needed.iff" result.attribute_template_id = -1 result.stfName("loot_corl_n","noren_krast_q2_needed") #### BEGIN MODIFICATIONS #### #### END MODIFICATIONS #### return result

28.058824

88

0.742138

71f11973c32e49a31f901dcc71a554c7c99e34d0

4,089

py

Python

CheckCooldown/CheckCooldown_StreamlabsParameter.py

EinWesen/slchatbotscripts

0e6fed2b319fe6a5fd20814109800f6891cefa95

[ "MIT" ]

null

CheckCooldown/CheckCooldown_StreamlabsParameter.py

EinWesen/slchatbotscripts

0e6fed2b319fe6a5fd20814109800f6891cefa95

[ "MIT" ]

null

CheckCooldown/CheckCooldown_StreamlabsParameter.py

EinWesen/slchatbotscripts

0e6fed2b319fe6a5fd20814109800f6891cefa95

[ "MIT" ]

null

#--------------------------- # Import Libraries #--------------------------- import clr clr.AddReference("IronPython.SQLite.dll") clr.AddReference("IronPython.Modules.dll") #--------------------------- # [Required] Script Information #--------------------------- ScriptName = "CoolDownParameter" Website = "https://github.com/EinWesen" Description = "$checkcooldown" Creator = "EinWesen" Version = "1.1.0.0" #--------------------------- # Script specic Information #--------------------------- CHECKUSERCOOLDOWN = "$checkcooldown" COOLDOWN = "$cooldown" COOLDOWNTYPE_USER = 1; COOLDOWNTYPE_GLOBAL = 2; COOLDOWNTYPE_NOMOD_USER = 3; COOLDOWNTYPE_NOMOD_GLOBAL = 4; #--------------------------- # [Required] Initialize Data (Only called on load) #--------------------------- def Init(): return def parseMyParameters(text): # Very bad, but should work for most basic cases # - find the first bracketpair (for this param) # - split the contents in between by "," # - ignore first and last " end = text.index(")") params = (text[text.index("(")+2:end-1]).split("\",\"", 3); if len(params) == 4: result = {"type": int(params[0]), "name" : params[1], "cooldown": int(params[2]), "message" : params[3], "length": end+1} #Parent.Log(ScriptName, str(result)) return result else: raise ValueError("Incorrect number of parameters") #end def parseMyParameters def hasCooldown(cooldownType, command, userid): if cooldownType == COOLDOWNTYPE_NOMOD_USER: if not Parent.HasPermission(userid, "Moderator", ""): return Parent.IsOnUserCooldown(ScriptName, command, userid) else: return False elif cooldownType == COOLDOWNTYPE_NOMOD_GLOBAL: if not Parent.HasPermission(userid, "Moderator", ""): return Parent.IsOnCooldown(ScriptName, command) else: return False elif cooldownType == COOLDOWNTYPE_USER: return Parent.IsOnUserCooldown(ScriptName, command, userid) elif cooldownType == COOLDOWNTYPE_GLOBAL: return Parent.IsOnCooldown(ScriptName, command) def getCooldown(cooldownType, command, userid): if cooldownType == COOLDOWNTYPE_USER or cooldownType == COOLDOWNTYPE_NOMOD_USER: return Parent.GetUserCooldownDuration(ScriptName, command, userid) elif cooldownType == COOLDOWNTYPE_GLOBAL or cooldownType == COOLDOWNTYPE_NOMOD_GLOBAL: return Parent.GetCooldownDuration(ScriptName, command) def addCooldown(cooldownType, command, userid,seconds): if cooldownType == COOLDOWNTYPE_USER or cooldownType == COOLDOWNTYPE_NOMOD_USER: return Parent.AddUserCooldown(ScriptName, command, userid, seconds) elif cooldownType == COOLDOWNTYPE_GLOBAL or cooldownType == COOLDOWNTYPE_NOMOD_GLOBAL: # The Method is called Parent.addCooldown (as in addition), but it actually only sets the cooldown # if the command is not on cooldown already, so we don't need to make sure it doesn't extend beyond the intended time. # But this also means we have to live with the fact, that in case of COOLDOWNTYPE_NOMOD_GLOBAL # the use of a command by a mod which is currently on global cooldown # will not prevent others from using the command a second later (if the cooldown has elabsed by then) return Parent.AddCooldown(ScriptName, command, seconds) def Parse(parseString, userid, username, targetid, targetname, message): if parseString.startswith(CHECKUSERCOOLDOWN): #try: parsedValues = parseMyParameters(parseString) if hasCooldown(parsedValues["type"], parsedValues["name"], userid): return parsedValues["message"].replace(COOLDOWN, str(getCooldown(parsedValues["type"], parsedValues["name"], userid))) else: addCooldown(parsedValues["type"], parsedValues["name"], userid, parsedValues["cooldown"]) return parseString[parsedValues["length"]:] #except: # return "): Error :(" #end if CHECKUSERCOOLDOWN return parseString

41.30303

134

0.658352

332b343cf9915cd47280b2c76ca85cfd669ed7f6

27,991

py

Python

labour/models/signup.py

darkismus/kompassi

35dea2c7af2857a69cae5c5982b48f01ba56da1f

[ "CC-BY-3.0" ]

13

2015-11-29T12:19:12.000Z

2021-02-21T15:42:11.000Z

labour/models/signup.py

darkismus/kompassi

35dea2c7af2857a69cae5c5982b48f01ba56da1f

[ "CC-BY-3.0" ]

23

2015-04-29T19:43:34.000Z

2021-02-10T05:50:17.000Z

labour/models/signup.py

darkismus/kompassi

35dea2c7af2857a69cae5c5982b48f01ba56da1f

[ "CC-BY-3.0" ]

11

2015-09-20T18:59:00.000Z

2020-02-07T08:47:34.000Z

from collections import OrderedDict from django.conf import settings from django.db import models from django.db.models import Sum from django.db.models.functions import Coalesce from django.utils.translation import ugettext_lazy as _ from six import text_type from core.csv_export import CsvExportMixin from core.utils import ( alias_property, ensure_user_group_membership, get_previous_and_next, time_bool_property, ) from .constants import ( JOB_TITLE_LENGTH, SIGNUP_STATE_NAMES, NUM_FIRST_CATEGORIES, SIGNUP_STATE_LABEL_CLASSES, SIGNUP_STATE_BUTTON_CLASSES, SIGNUP_STATE_DESCRIPTIONS, SIGNUP_STATE_IMPERATIVES, STATE_FLAGS_BY_NAME, STATE_NAME_BY_FLAGS, STATE_TIME_FIELDS, SIGNUP_STATE_GROUPS, ) class StateTransition(object): """ This class represents a potential state transition of a Signup from its current state to another. The state transition is illustrated by a color (a CSS class) and a piece of text in the imperative form. Furthermore, we may want to disable some transitions that would otherwise be legal. These cases warrant an explanation to the user. These state transitions will be represented by buttons on the State tab of the admin signup view. """ __slots__ = ['signup', 'to_state', 'disabled_reason'] from core.utils import simple_object_repr as __repr__ def __init__(self, signup, to_state): self.signup = signup self.to_state = to_state self.disabled_reason = self._determine_disabled_reason() @property def from_state(self): return self.signup.state @property def css_class(self): return SIGNUP_STATE_BUTTON_CLASSES[self.to_state] @property def text(self): return SIGNUP_STATE_IMPERATIVES[self.to_state] def _determine_disabled_reason(self): # XXX In the Grand Order, the first flag is `is_active`. # If the worker would end up in an inactive state, they must not have shifts. if not STATE_FLAGS_BY_NAME[self.to_state][0] and self.signup.shifts.exists(): return _( 'This signup has shifts. Please remove the shifts before cancelling or ' 'rejecting the signup.' ) return '' @property def is_disabled(self): return bool(self.disabled_reason) class SignupMixin: """ Contains functionality common to both Signup and ArchivedSignup. """ @property def job_category_accepted_labels(self): state = self.state label_class = SIGNUP_STATE_LABEL_CLASSES[state] if state == 'new': label_texts = [cat.name for cat in self.get_first_categories()] labels = [(label_class, label_text, None) for label_text in label_texts] if self.is_more_categories: labels.append((label_class, '...', self.get_redacted_category_names())) elif state == 'cancelled': labels = [(label_class, 'Peruutettu', None)] elif state == 'rejected': labels = [(label_class, 'Hylätty', None)] elif state == 'beyond_logic': labels = [(label_class, 'Perätilassa', None)] elif self.is_accepted: label_texts = [cat.name for cat in self.job_categories_accepted.all()] labels = [(label_class, label_text, None) for label_text in label_texts] else: from warnings import warn warn('Unknown state: {state}'.format(self=self)) labels = [] return labels @property def personnel_class_labels(self): label_texts = [pc.name for pc in self.personnel_classes.all()] return [('label-default', label_text, None) for label_text in label_texts] @property def formatted_state(self): return dict(SIGNUP_STATE_NAMES).get(self.state, '') @property def job_categories_label(self): if self.state == 'new': return 'Haetut tehtävät' else: return 'Hyväksytyt tehtävät' @property def state_label_class(self): return SIGNUP_STATE_LABEL_CLASSES[self.state] @property def state_description(self): return SIGNUP_STATE_DESCRIPTIONS.get(self.state, '') class Signup(CsvExportMixin, SignupMixin, models.Model): person = models.ForeignKey('core.Person', on_delete=models.CASCADE, related_name='signups') event = models.ForeignKey('core.Event', on_delete=models.CASCADE) personnel_classes = models.ManyToManyField('labour.PersonnelClass', blank=True, verbose_name='Henkilöstöluokat', help_text='Mihin henkilöstöryhmiin tämä henkilö kuuluu? Henkilö saa valituista ryhmistä ' 'ylimmän mukaisen badgen.', ) job_categories = models.ManyToManyField('labour.JobCategory', verbose_name='Haettavat tehtävät', help_text='Valitse kaikki ne tehtävät, joissa olisit valmis työskentelemään ' 'tapahtumassa. Huomaathan, että sinulle tarjottavia tehtäviä voi rajoittaa se, ' 'mitä pätevyyksiä olet ilmoittanut sinulla olevan. Esimerkiksi järjestyksenvalvojaksi ' 'voivat ilmoittautua ainoastaan JV-kortilliset.', related_name='signup_set' ) notes = models.TextField( blank=True, verbose_name='Käsittelijän merkinnät', help_text=( 'Tämä kenttä ei normaalisti näy henkilölle itselleen, mutta jos tämä ' 'pyytää henkilörekisteriotetta, kentän arvo on siihen sisällytettävä.' ), ) created_at = models.DateTimeField(auto_now_add=True, verbose_name='Luotu') updated_at = models.DateTimeField(auto_now=True, verbose_name='Päivitetty') job_categories_accepted = models.ManyToManyField('labour.JobCategory', blank=True, related_name='accepted_signup_set', verbose_name='Hyväksytyt tehtäväalueet', help_text='Tehtäväalueet, joilla hyväksytty vapaaehtoistyöntekijä tulee työskentelemään. ' 'Tämän perusteella henkilölle mm. lähetetään oman tehtäväalueensa työvoimaohjeet. ' 'Harmaalla merkityt tehtäväalueet ovat niitä, joihin hakija ei ole itse hakenut.' ) job_categories_rejected = models.ManyToManyField('labour.JobCategory', blank=True, related_name='+', verbose_name=_('Rejected job categories'), help_text=_('The workforce manager may use this field to inform other workforce managers that ' 'this applicant will not be accepted to a certain job category. This field is not visible ' 'to the applicant, but should they request a record of their own information, this field will ' 'be included.') ) xxx_interim_shifts = models.TextField( blank=True, null=True, default="", verbose_name="Työvuorot", help_text=( "Tämä tekstikenttä on väliaikaisratkaisu, jolla vänkärin työvuorot voidaan " "merkitä Kompassiin ja lähettää vänkärille työvoimaviestissä jo ennen kuin " "lopullinen työvuorotyökalu on käyttökunnossa." ), ) alternative_signup_form_used = models.ForeignKey('labour.AlternativeSignupForm', on_delete=models.CASCADE, blank=True, null=True, verbose_name="Ilmoittautumislomake", help_text=( "Tämä kenttä ilmaisee, mitä ilmoittautumislomaketta hakemuksen täyttämiseen käytettiin. " "Jos kenttä on tyhjä, käytettiin oletuslomaketta." ), ) job_title = models.CharField( max_length=JOB_TITLE_LENGTH, blank=True, default='', verbose_name="Tehtävänimike", help_text=( "Printataan badgeen ym. Asetetaan automaattisesti hyväksyttyjen tehtäväalueiden perusteella, " "mikäli kenttä jätetään tyhjäksi." ), ) is_active = models.BooleanField(verbose_name='Aktiivinen', default=True) time_accepted = models.DateTimeField( null=True, blank=True, verbose_name='Hyväksytty', ) time_confirmation_requested = models.DateTimeField( null=True, blank=True, verbose_name='Vahvistusta vaadittu', ) time_finished = models.DateTimeField( null=True, blank=True, verbose_name='Vuorot valmiit', ) time_complained = models.DateTimeField( null=True, blank=True, verbose_name='Vuoroista reklamoitu', ) time_cancelled = models.DateTimeField( null=True, blank=True, verbose_name='Peruutettu', ) time_rejected = models.DateTimeField( null=True, blank=True, verbose_name='Hylätty', ) time_arrived = models.DateTimeField( null=True, blank=True, verbose_name='Saapunut tapahtumaan', ) time_work_accepted = models.DateTimeField( null=True, blank=True, verbose_name='Työpanos hyväksytty', ) time_reprimanded = models.DateTimeField( null=True, blank=True, verbose_name='Työpanoksesta esitetty moite', ) is_accepted = time_bool_property('time_accepted') is_confirmation_requested = time_bool_property('time_confirmation_requested') is_finished = time_bool_property('time_finished') is_complained = time_bool_property('time_complained') is_cancelled = time_bool_property('time_cancelled') is_rejected = time_bool_property('time_rejected') is_arrived = time_bool_property('time_arrived') is_work_accepted = time_bool_property('time_work_accepted') is_workaccepted = alias_property('is_work_accepted') # for automagic groupiness is_reprimanded = time_bool_property('time_reprimanded') is_new = property(lambda self: self.state == 'new') is_applicants = alias_property('is_active') # group is called applicants for historical purposes is_confirmation = alias_property('is_confirmation_requested') is_processed = property(lambda self: self.state != 'new') class Meta: verbose_name = _('signup') verbose_name_plural = _('signups') def __str__(self): p = self.person.full_name if self.person else 'None' e = self.event.name if self.event else 'None' return '{p} / {e}'.format(**locals()) @property def personnel_class(self): """ The highest personnel class of this Signup (possibly None). """ return self.personnel_classes.first() @property def signup_extra_model(self): return self.event.labour_event_meta.signup_extra_model @property def signup_extra(self): if not hasattr(self, '_signup_extra'): SignupExtra = self.signup_extra_model self._signup_extra = SignupExtra.for_signup(self) return self._signup_extra def get_first_categories(self): return self.job_categories.all()[:NUM_FIRST_CATEGORIES] @property def is_more_categories(self): return self.job_categories.count() > NUM_FIRST_CATEGORIES def get_redacted_category_names(self): return ', '.join(cat.name for cat in self.job_categories.all()[NUM_FIRST_CATEGORIES:]) @property def some_job_title(self): """ Tries to figure a job title for this worker using the following methods in this order 1. A manually set job title 2. The title of the job category the worker is accepted into 3. A generic job title """ if self.job_title: return self.job_title elif self.job_categories_accepted.exists(): return self.job_categories_accepted.first().name else: return 'Työvoima' @property def granted_privileges(self): if 'access' not in settings.INSTALLED_APPS: return [] from access.models import GrantedPrivilege return GrantedPrivilege.objects.filter( person=self.person, privilege__group_privileges__group__in=self.person.user.groups.all(), privilege__group_privileges__event=self.event, ) @property def potential_privileges(self): if 'access' not in settings.INSTALLED_APPS: return [] from access.models import Privilege return Privilege.get_potential_privileges(person=self.person, group_privileges__event=self.event) @classmethod def get_or_create_dummy(cls, accepted=False): from core.models import Person, Event from .job_category import JobCategory person, unused = Person.get_or_create_dummy() event, unused = Event.get_or_create_dummy() job_category, unused = JobCategory.get_or_create_dummy() signup, created = Signup.objects.get_or_create(person=person, event=event) if created: signup.job_categories.set([job_category]) if accepted: signup.job_categories_accepted.set(signup.job_categories.all()) signup.personnel_classes.add(signup.job_categories.first().personnel_classes.first()) signup.state = 'accepted' signup.save() signup.apply_state() return signup, created @classmethod def get_state_query_params(cls, state): flag_values = STATE_FLAGS_BY_NAME[state] assert len(STATE_TIME_FIELDS) == len(flag_values) query_params = [] for time_field_name, flag_value in zip(STATE_TIME_FIELDS, flag_values): time_field_preposition = '{}__isnull'.format(time_field_name) query_params.append((time_field_preposition, not flag_value)) # First state flag is not a time bool field, but an actual bona fide boolean field. # Also "is null" semantics mean that flag values are flipped, so we need to backflip it. query_params[0] = ('is_active', not query_params[0][1]) return OrderedDict(query_params) @classmethod def mass_reject(cls, signups): return cls._mass_state_change('new', 'rejected', signups) @classmethod def mass_request_confirmation(cls, signups): return cls._mass_state_change('accepted', 'confirmation', signups) @classmethod def filter_signups_for_mass_send_shifts(cls, signups): return signups.filter( **cls.get_state_query_params('accepted') ).exclude( xxx_interim_shifts='', shifts__isnull=True, ) @classmethod def mass_send_shifts(cls, signups): return cls._mass_state_change( old_state='accepted', new_state='finished', signups=signups, filter_func=cls.filter_signups_for_mass_send_shifts ) @classmethod def _mass_state_change(cls, old_state, new_state, signups, filter_func=None): if filter_func is None: signups = signups.filter(**Signup.get_state_query_params(old_state)) else: signups = filter_func(signups) for signup in signups: signup.state = new_state signup.save() signup.apply_state() return signups def apply_state(self): self.apply_state_sync() if 'background_tasks' in settings.INSTALLED_APPS: from ..tasks import signup_apply_state signup_apply_state.delay(self.pk) else: self._apply_state() def apply_state_sync(self): self.apply_state_ensure_job_categories_accepted_is_set() self.apply_state_ensure_personnel_class_is_set() self.signup_extra.apply_state() self.apply_state_create_badges() def _apply_state(self): self.apply_state_group_membership() self.apply_state_email_aliases() self.apply_state_send_messages() def apply_state_group_membership(self): from .job_category import JobCategory from .personnel_class import PersonnelClass groups_to_add = set() groups_to_remove = set() for group_suffix in SIGNUP_STATE_GROUPS: should_belong_to_group = getattr(self, 'is_{group_suffix}'.format(group_suffix=group_suffix)) group = self.event.labour_event_meta.get_group(group_suffix) if should_belong_to_group: groups_to_add.add(group) else: groups_to_remove.add(group) for job_category in JobCategory.objects.filter(event=self.event): should_belong_to_group = self.job_categories_accepted.filter(pk=job_category.pk).exists() group = self.event.labour_event_meta.get_group(job_category.slug) if should_belong_to_group: groups_to_add.add(group) else: groups_to_remove.add(group) for personnel_class in PersonnelClass.objects.filter(event=self.event, app_label='labour'): should_belong_to_group = self.personnel_classes.filter(pk=personnel_class.pk).exists() group = self.event.labour_event_meta.get_group(personnel_class.slug) if should_belong_to_group: groups_to_add.add(group) else: groups_to_remove.add(group) ensure_user_group_membership(self.person.user, groups_to_add, groups_to_remove) def apply_state_email_aliases(self): if 'access' not in settings.INSTALLED_APPS: return from access.models import GroupEmailAliasGrant GroupEmailAliasGrant.ensure_aliases(self.person) def apply_state_send_messages(self, resend=False): if 'mailings' not in settings.INSTALLED_APPS: return from mailings.models import Message Message.send_messages(self.event, 'labour', self.person) def apply_state_ensure_job_categories_accepted_is_set(self): if self.is_accepted and not self.job_categories_accepted.exists() and self.job_categories.count() == 1: self.job_categories_accepted.add(self.job_categories.get()) def apply_state_ensure_personnel_class_is_set(self): for app_label in self.job_categories_accepted.values_list('app_label', flat=True).distinct(): if self.personnel_classes.filter(app_label=app_label).exists(): continue any_jca = self.job_categories_accepted.filter(app_label=app_label).first() personnel_class = any_jca.personnel_classes.first() self.personnel_classes.add(personnel_class) def apply_state_create_badges(self): if 'badges' not in settings.INSTALLED_APPS: return if self.event.badges_event_meta is None: return from badges.models import Badge Badge.ensure(event=self.event, person=self.person) def get_previous_and_next_signup(self): queryset = self.event.signup_set.order_by('person__surname', 'person__first_name', 'id').all() return get_previous_and_next(queryset, self) @property def _state_flags(self): # The Grand Order is defined here. return ( self.is_active, self.is_accepted, self.is_confirmation_requested, self.is_finished, self.is_complained, self.is_arrived, self.is_work_accepted, self.is_reprimanded, self.is_rejected, self.is_cancelled, ) @_state_flags.setter def _state_flags(self, flags): # These need to be in the Grand Order. ( self.is_active, self.is_accepted, self.is_confirmation_requested, self.is_finished, self.is_complained, self.is_arrived, self.is_work_accepted, self.is_reprimanded, self.is_rejected, self.is_cancelled, ) = flags @property def state(self): return STATE_NAME_BY_FLAGS[self._state_flags] @state.setter def state(self, new_state): self._state_flags = STATE_FLAGS_BY_NAME[new_state] @property def next_states(self): cur_state = self.state states = [] if cur_state == 'new': states.extend(('accepted', 'rejected', 'cancelled')) elif cur_state == 'accepted': states.extend(('finished', 'confirmation', 'cancelled')) elif cur_state == 'confirmation': states.extend(('accepted', 'cancelled')) elif cur_state == 'finished': states.extend(('arrived', 'complained', 'no_show', 'relieved')) elif cur_state == 'complained': states.extend(('finished', 'relieved')) elif cur_state == 'arrived': states.extend(('honr_discharged', 'dish_discharged', 'relieved')) elif cur_state == 'beyond_logic': states.extend(( 'new', 'accepted', 'finished', 'complained', 'rejected', 'cancelled', 'arrived', 'honr_discharged', 'no_show', )) if cur_state != 'beyond_logic': states.append('beyond_logic') return states @property def next_states_buttons(self): return [StateTransition(self, to_state) for to_state in self.next_states] @property def state_times(self): return [ ( self._meta.get_field(field_name).verbose_name, getattr(self, field_name, None), ) for field_name in STATE_TIME_FIELDS if getattr(self, field_name, None) ] @property def person_messages(self): if 'mailings' in settings.INSTALLED_APPS: if getattr(self, '_person_messages', None) is None: self._person_messages = self.person.personmessage_set.filter( message__recipient__event=self.event, message__recipient__app_label='labour', ).order_by('-created_at') return self._person_messages else: return [] @property def have_person_messages(self): if 'mailings' in settings.INSTALLED_APPS: return self.person_messages.exists() else: return False @property def applicant_has_actions(self): return any([ self.applicant_can_edit, self.applicant_can_confirm, self.applicant_can_cancel, ]) @property def applicant_can_edit(self): return self.state == 'new' and self.is_registration_open @property def is_registration_open(self): if self.alternative_signup_form_used is not None: return self.alternative_signup_form_used.is_active else: return self.event.labour_event_meta.is_registration_open @property def applicant_can_confirm(self): return self.state == 'confirmation' def confirm(self): assert self.state == 'confirmation' self.state = 'accepted' self.save() self.apply_state() @property def applicant_can_cancel(self): return self.is_active and not self.is_cancelled and not self.is_rejected and \ not self.is_arrived @property def formatted_personnel_classes(self): from .job_category import format_job_categories return format_job_categories(self.personnel_classes.all()) @property def formatted_job_categories_accepted(self): from .job_category import format_job_categories return format_job_categories(self.job_categories_accepted.all()) @property def formatted_job_categories(self): from .job_category import format_job_categories return format_job_categories(self.job_categories.all()) @property def formatted_shifts(self): parts = [] if self.xxx_interim_shifts: parts.append(self.xxx_interim_shifts) parts.extend(text_type(shift) for shift in self.shifts.all()) return "\n\n".join(part for part in parts if part) # for admin @property def full_name(self): return self.person.full_name @property def info_links(self): from .info_link import InfoLink return InfoLink.objects.filter( event=self.event, group__user=self.person.user, ) @property def email_address(self): from access.models import EmailAlias email_alias = EmailAlias.objects.filter( type__domain__organization=self.event.organization, person=self.person, ).order_by('type__priority').first() # TODO order return email_alias.email_address if email_alias else self.person.email @classmethod def get_csv_fields(cls, event): if getattr(event, '_signup_csv_fields', None) is None: from core.models import Person event._signup_csv_fields = [] related_models = [Person, Signup] fields_to_skip = [ # useless & non-serializable (Person, 'user'), (Signup, 'person'), # too official (Person, 'official_first_names'), (Person, 'muncipality'), ] SignupExtra = event.labour_event_meta.signup_extra_model if SignupExtra is not None: related_models.append(SignupExtra) fields_to_skip.extend([ # SignupExtraBase ("V2") (SignupExtra, 'event'), (SignupExtra, 'person'), # ObsoleteSignupExtraBaseV1 (SignupExtra, 'signup'), ]) # XXX HACK jv-kortin numero if 'labour_common_qualifications' in settings.INSTALLED_APPS: from labour_common_qualifications.models import JVKortti related_models.append(JVKortti) fields_to_skip.append((JVKortti, 'personqualification')) for model in related_models: for field in model._meta.fields: if (model, field.name) in fields_to_skip: continue event._signup_csv_fields.append((model, field)) for field in model._meta.many_to_many: event._signup_csv_fields.append((model, field)) return event._signup_csv_fields def get_csv_related(self): from core.models import Person related = {Person: self.person} signup_extra_model = self.signup_extra_model if signup_extra_model: related[signup_extra_model] = self.signup_extra # XXX HACK jv-kortin numero if 'labour_common_qualifications' in settings.INSTALLED_APPS: from labour_common_qualifications.models import JVKortti try: jv_kortti = JVKortti.objects.get(personqualification__person=self.person) related[JVKortti] = jv_kortti except JVKortti.DoesNotExist: related[JVKortti] = None return related def as_dict(self): # XXX? signup_extra = self.signup_extra shift_wishes = signup_extra.shift_wishes if signup_extra.get_field('shift_wishes') else '' total_work = signup_extra.total_work if signup_extra.get_field('total_work') else '' shift_type = signup_extra.get_shift_type_display() if signup_extra.get_field('shift_type') else '' return dict( id=self.person.id, fullName=self.person.full_name, shiftWishes=shift_wishes, totalWork=total_work, currentlyAssigned=self.shifts.all().aggregate( sum_hours=Coalesce(Sum('hours'), 0) )['sum_hours'], shiftType=shift_type, ) @classmethod def for_signup(cls, signup): """ Surveys make use of this method. """ return signup

33.362336

111

0.648744

2ef4a3879d651fbd77fd4cef505bcbc8065dab4a

3,063

py

Python

simple_CNN.py

XiangyuDing/Tensorflow-learning

233d7ef4ae61b333c3fb6ff0dcc8bcf31de9a359

[ "MIT" ]

null

simple_CNN.py

XiangyuDing/Tensorflow-learning

233d7ef4ae61b333c3fb6ff0dcc8bcf31de9a359

[ "MIT" ]

null

simple_CNN.py

XiangyuDing/Tensorflow-learning

233d7ef4ae61b333c3fb6ff0dcc8bcf31de9a359

[ "MIT" ]

null

import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data # number 1 to 10 data mnist = input_data.read_data_sets('MNIST_data', one_hot=True) def compute_accuarcy(v_xs, v_ys): global prediction y_pre = sess.run(prediction, feed_dict={xs:v_xs, keep_prob: 1}) correct_prediction = tf.equal(tf.argmax(y_pre, 1), tf.argmax(v_ys, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) result = sess.run(accuracy, feed_dict={xs:v_xs, ys:v_ys, keep_prob: 1}) return result def weight_variable(shape): initial = tf.truncated_normal(shape, stddev=0.1) return tf.Variable(initial) def bias_variable(shape): initial = tf.constant(0.1, shape=shape) return tf.Variable(initial) def conv2d(x, W): # stride=[1, x_movement, y_movement, 1] # Must have strides[0] = strides[3] = 1 return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME') def max_pool_2x2(x): # stride=[1, x_movement, y_movement, 1] # Must have strides[0] = strides[3] = 1 return tf.nn.max_pool(x, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1], padding = 'SAME') # define placeholder for inputs to network xs = tf.placeholder(tf.float32, [None, 784]) / 255 # 28*28 ys = tf.placeholder(tf.float32, [None, 10]) keep_prob = tf.placeholder(tf.float32) x_image = tf.reshape(xs, [-1, 28, 28, 1]) # print(x_image.shape) # [n_samples, 28, 28, 1] ## conv1 layer ## W_conv1 = weight_variable([5, 5, 1, 32]) # patch 5*5, in size 1, out size 32 b_conv1 = bias_variable([32]) h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1) + b_conv1) # output size 28*28*32 h_pool1 = max_pool_2x2(h_conv1) # output size 14*14*32 ## conv2 layer ## W_conv2 = weight_variable([5, 5, 32, 64]) # patch 5*5, in size 32, out size 64 b_conv2 = bias_variable([64]) h_conv2 = tf.nn.relu(conv2d(h_pool1, W_conv2) + b_conv2) # output size 14*14*64 h_pool2 = max_pool_2x2(h_conv2) # output size 7*7*64 ## fuc1 layer ## W_func1 = weight_variable([7*7*64, 1024]) b_func1 = bias_variable([1024]) h_pool2_flat = tf.reshape(h_pool2, [-1, 7*7*64]) # [n_samples, 7, 7, 64] >> [n_samples, 7*7*64] h_func1 = tf.nn.relu(tf.matmul(h_pool2_flat, W_func1) + b_func1) h_func1_drop = tf.nn.dropout(h_func1, keep_prob) ## fuc2 layer ## W_func2 = weight_variable([1024, 10]) b_func2 = bias_variable([10]) prediction = tf.nn.softmax(tf.matmul(h_func1_drop, W_func2) + b_func2) # the error between prediction and real data cross_entropy = tf.reduce_mean(-tf.reduce_sum(ys * tf.log(prediction), reduction_indices=[1])) # loss train_step = tf.train.AdamOptimizer(1e-4).minimize(cross_entropy) sess = tf.Session() # important step sess.run(tf.global_variables_initializer()) for i in range(1000): batch_xs, batch_ys = mnist.train.next_batch(100) sess.run(train_step, feed_dict={xs: batch_xs, ys: batch_ys, keep_prob: 0.5}) if i % 50 == 0: print(compute_accuracy( mnist.test.images, mnist.test.lables))

39.779221

95

0.669931

52782195c923043fe2fdb557651e1476e368cfd8

71,551

py

Python

import_export_batches/views_admin.py

mattare2/WeVoteServer

c12f1a4a64a94a3b22f97c9582ed1058749326d5

[ "MIT" ]

null

import_export_batches/views_admin.py

mattare2/WeVoteServer

c12f1a4a64a94a3b22f97c9582ed1058749326d5

[ "MIT" ]

null

import_export_batches/views_admin.py

mattare2/WeVoteServer

c12f1a4a64a94a3b22f97c9582ed1058749326d5

[ "MIT" ]

null

# import_export_batches/views_admin.py # Brought to you by We Vote. Be good. # -*- coding: UTF-8 -*- from .models import BatchDescription, BatchHeader, BatchHeaderMap, BatchManager, BatchRow, BatchSet, \ CONTEST_OFFICE, ELECTED_OFFICE, IMPORT_BALLOT_ITEM, \ BATCH_IMPORT_KEYS_ACCEPTED_FOR_CANDIDATES, BATCH_IMPORT_KEYS_ACCEPTED_FOR_CONTEST_OFFICES, \ BATCH_IMPORT_KEYS_ACCEPTED_FOR_ELECTED_OFFICES, BATCH_IMPORT_KEYS_ACCEPTED_FOR_MEASURES, \ BATCH_IMPORT_KEYS_ACCEPTED_FOR_ORGANIZATIONS, BATCH_IMPORT_KEYS_ACCEPTED_FOR_POLITICIANS, \ BATCH_IMPORT_KEYS_ACCEPTED_FOR_POSITIONS, BATCH_IMPORT_KEYS_ACCEPTED_FOR_BALLOT_ITEMS, \ IMPORT_CREATE, IMPORT_ADD_TO_EXISTING, IMPORT_VOTER from .controllers import create_batch_header_translation_suggestions, create_batch_row_actions, \ create_or_update_batch_header_mapping, export_voter_list, import_data_from_batch_row_actions from import_export_ballotpedia.controllers import groom_ballotpedia_data_for_processing, \ process_ballotpedia_voter_districts from import_export_batches.controllers_ballotpedia import store_ballotpedia_json_response_to_import_batch_system from admin_tools.views import redirect_to_sign_in_page from ballot.models import MEASURE, CANDIDATE, POLITICIAN import csv from django.contrib.auth.decorators import login_required from django.contrib import messages from django.contrib.messages import get_messages from django.core.urlresolvers import reverse from django.http import HttpResponseRedirect, HttpResponse from django.shortcuts import render from django.utils.http import urlquote from election.models import Election, ElectionManager import json from polling_location.models import PollingLocation, PollingLocationManager from position.models import POSITION import requests from voter.models import voter_has_authority from voter_guide.models import ORGANIZATION_WORD # import wevote_functions.admin from wevote_functions.functions import convert_to_int, positive_value_exists, STATE_CODE_MAP # logger = wevote_functions.admin.get_logger(__name__) @login_required def batches_home_view(request): authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) # Create a voter_device_id and voter in the database if one doesn't exist yet google_civic_election_id = convert_to_int(request.GET.get('google_civic_election_id', 0)) template_values = { 'google_civic_election_id': google_civic_election_id, } response = render(request, 'import_export_batches/index.html', template_values) return response @login_required def batch_list_view(request): """ Display a list of import batches :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) kind_of_batch = request.GET.get('kind_of_batch', '') batch_file = request.GET.get('batch_file', '') batch_uri = request.GET.get('batch_uri', '') google_civic_election_id = request.GET.get('google_civic_election_id', 0) polling_location_we_vote_id = request.GET.get('polling_location_we_vote_id', '') polling_location_city = request.GET.get('polling_location_city', '') polling_location_zip = request.GET.get('polling_location_zip', '') show_all_elections = request.GET.get('show_all_elections', False) messages_on_stage = get_messages(request) batch_list_found = False modified_batch_list = [] batch_manager = BatchManager() try: batch_list = BatchDescription.objects.order_by('-batch_header_id') if positive_value_exists(google_civic_election_id): batch_list = batch_list.filter(google_civic_election_id=google_civic_election_id) if positive_value_exists(kind_of_batch): batch_list = batch_list.filter(kind_of_batch__iexact=kind_of_batch) if len(batch_list): batch_list_found = True for one_batch in batch_list: one_batch.batch_row_action_count = batch_manager.fetch_batch_row_action_count( one_batch.batch_header_id, kind_of_batch) one_batch.batch_row_action_to_update_count = batch_manager.fetch_batch_row_action_count( one_batch.batch_header_id, kind_of_batch, IMPORT_ADD_TO_EXISTING) one_batch.batch_row_count = batch_manager.fetch_batch_row_count(one_batch.batch_header_id) modified_batch_list.append(one_batch) except BatchDescription.DoesNotExist: # This is fine batch_list_found = False pass polling_location_found = False polling_location = PollingLocation() polling_location_manager = PollingLocationManager() election_state = '' if not polling_location_found and positive_value_exists(polling_location_we_vote_id): results = polling_location_manager.retrieve_polling_location_by_id(0, polling_location_we_vote_id) if results['polling_location_found']: polling_location = results['polling_location'] polling_location_we_vote_id = polling_location.we_vote_id polling_location_id = polling_location.id polling_location_found = True election_state = polling_location.state if google_civic_election_id: election_manager = ElectionManager() results = election_manager.retrieve_election(google_civic_election_id) if results['election_found']: election = results['election'] election_state = election.get_election_state() polling_location_list = [] results = polling_location_manager.retrieve_polling_locations_in_city_or_state( election_state, polling_location_city, polling_location_zip) if results['polling_location_list_found']: polling_location_list = results['polling_location_list'] if kind_of_batch == ORGANIZATION_WORD or kind_of_batch == ELECTED_OFFICE or kind_of_batch == POLITICIAN: # We do not want to ask the person importing the file for an election, because it isn't used ask_for_election = False election_list = [] else: ask_for_election = True election_manager = ElectionManager() if positive_value_exists(show_all_elections): results = election_manager.retrieve_elections() election_list = results['election_list'] else: results = election_manager.retrieve_upcoming_elections() election_list = results['election_list'] template_values = { 'messages_on_stage': messages_on_stage, 'batch_list': modified_batch_list, 'ask_for_election': ask_for_election, 'election_list': election_list, 'kind_of_batch': kind_of_batch, 'batch_file': batch_file, 'batch_uri': batch_uri, 'google_civic_election_id': convert_to_int(google_civic_election_id), 'polling_location_we_vote_id': polling_location_we_vote_id, 'polling_location': polling_location, 'polling_location_list': polling_location_list, 'polling_location_city': polling_location_city, 'polling_location_zip': polling_location_zip, 'show_all_elections': show_all_elections, } return render(request, 'import_export_batches/batch_list.html', template_values) @login_required def batch_list_process_view(request): """ Load in a new batch to start the importing process :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) kind_of_batch = request.POST.get('kind_of_batch', '') batch_uri = request.POST.get('batch_uri', '') batch_uri_encoded = urlquote(batch_uri) if positive_value_exists(batch_uri) else "" google_civic_election_id = request.POST.get('google_civic_election_id', 0) polling_location_we_vote_id = request.POST.get('polling_location_we_vote_id', "") polling_location_city = request.POST.get('polling_location_city', '') polling_location_zip = request.POST.get('polling_location_zip', '') show_all_elections = request.POST.get('show_all_elections', "") state_code = request.POST.get('state_code', "") if kind_of_batch not in (MEASURE, ELECTED_OFFICE, CONTEST_OFFICE, CANDIDATE, ORGANIZATION_WORD, POSITION, POLITICIAN, IMPORT_BALLOT_ITEM): messages.add_message(request, messages.ERROR, 'The kind_of_batch is required for a batch import.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&google_civic_election_id=" + str(google_civic_election_id) + "&polling_location_we_vote_id=" + str(polling_location_we_vote_id) + "&polling_location_city=" + str(polling_location_city) + "&polling_location_zip=" + str(polling_location_zip) + "&show_all_elections=" + str(show_all_elections) + "&batch_uri=" + batch_uri_encoded) # If here we know we have the required variables organization_we_vote_id = request.POST.get('organization_we_vote_id', '') # Was form submitted, or was election just changed? import_batch_button = request.POST.get('import_batch_button', '') batch_file = None if positive_value_exists(import_batch_button): try: if request.method == 'POST' and request.FILES['batch_file']: batch_file = request.FILES['batch_file'] except KeyError: pass # Make sure we have a file to process // Used to only be able to import IMPORT_BALLOT_ITEM from file if kind_of_batch in ORGANIZATION_WORD and not batch_file: messages.add_message(request, messages.ERROR, 'Please select a file to import.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&polling_location_we_vote_id=" + str(polling_location_we_vote_id) + "&google_civic_election_id=" + str(google_civic_election_id) + "&polling_location_city=" + str(polling_location_city) + "&polling_location_zip=" + str(polling_location_zip) + "&show_all_elections=" + str(show_all_elections) + "&batch_uri=" + batch_uri_encoded) # Make sure we have a Google Civic Election ID *unless* we are uploading an organization if kind_of_batch not in ORGANIZATION_WORD and not positive_value_exists(google_civic_election_id): messages.add_message(request, messages.ERROR, 'This kind_of_batch (\"{kind_of_batch}\") requires you ' 'to choose an election.'.format(kind_of_batch=kind_of_batch)) return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&polling_location_we_vote_id=" + str(polling_location_we_vote_id) + "&google_civic_election_id=" + str(google_civic_election_id) + "&polling_location_city=" + str(polling_location_city) + "&polling_location_zip=" + str(polling_location_zip) + "&show_all_elections=" + str(show_all_elections) + "&batch_uri=" + batch_uri_encoded) # Make sure we have a polling_location_we_vote_id if kind_of_batch in IMPORT_BALLOT_ITEM and not positive_value_exists(polling_location_we_vote_id): messages.add_message(request, messages.ERROR, 'This kind_of_batch (\"{kind_of_batch}\") requires you ' 'to choose a polling location.' ''.format(kind_of_batch=kind_of_batch)) return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&polling_location_we_vote_id=" + str(polling_location_we_vote_id) + "&google_civic_election_id=" + str(google_civic_election_id) + "&polling_location_city=" + str(polling_location_city) + "&polling_location_zip=" + str(polling_location_zip) + "&show_all_elections=" + str(show_all_elections) + "&batch_uri=" + batch_uri_encoded) election_name = "" # For printing status if positive_value_exists(google_civic_election_id): election_manager = ElectionManager() results = election_manager.retrieve_election(google_civic_election_id) if results['election_found']: election = results['election'] election_name = election.election_name batch_header_id = 0 if positive_value_exists(import_batch_button): # If the button was pressed... batch_manager = BatchManager() if batch_file is not None: results = batch_manager.create_batch_from_local_file_upload( batch_file, kind_of_batch, google_civic_election_id, organization_we_vote_id, polling_location_we_vote_id) if results['batch_saved']: messages.add_message(request, messages.INFO, 'Import batch for {election_name} election saved.' ''.format(election_name=election_name)) batch_header_id = results['batch_header_id'] else: messages.add_message(request, messages.ERROR, results['status']) elif positive_value_exists(batch_uri): if "api.ballotpedia.org" in batch_uri: # response = requests.get(VOTER_INFO_URL, params={ # "key": GOOGLE_CIVIC_API_KEY, # "address": text_for_map_search, # "electionId": incoming_google_civic_election_id, # }) response = requests.get(batch_uri) structured_json = json.loads(response.text) if "api/contains" in batch_uri: contains_api = True else: contains_api = False groom_results = groom_ballotpedia_data_for_processing(structured_json, google_civic_election_id, state_code, contains_api) modified_json_list = groom_results['modified_json_list'] kind_of_batch = groom_results['kind_of_batch'] if contains_api: ballot_items_results = process_ballotpedia_voter_districts( google_civic_election_id, state_code, modified_json_list, polling_location_we_vote_id) if ballot_items_results['ballot_items_found']: modified_json_list = ballot_items_results['ballot_item_dict_list'] results = store_ballotpedia_json_response_to_import_batch_system( modified_json_list, google_civic_election_id, kind_of_batch) # Add state_code=state_code ? else: # check file type filetype = batch_manager.find_file_type(batch_uri) if "xml" in filetype: # file is XML # Retrieve the VIP data from XML results = batch_manager.create_batch_vip_xml(batch_uri, kind_of_batch, google_civic_election_id, organization_we_vote_id) else: results = batch_manager.create_batch_from_uri( batch_uri, kind_of_batch, google_civic_election_id, organization_we_vote_id) if results['batch_saved']: messages.add_message(request, messages.INFO, 'Import batch for {election_name} election saved.' ''.format(election_name=election_name)) batch_header_id = results['batch_header_id'] else: messages.add_message(request, messages.ERROR, results['status']) if positive_value_exists(batch_header_id): # Go straight to the new batch return HttpResponseRedirect(reverse('import_export_batches:batch_action_list', args=()) + "?batch_header_id=" + str(batch_header_id) + "&kind_of_batch=" + str(kind_of_batch) + "&polling_location_we_vote_id=" + str(polling_location_we_vote_id) + "&google_civic_election_id=" + str(google_civic_election_id) + "&batch_uri=" + batch_uri_encoded) else: # Go to the batch listing page return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&polling_location_we_vote_id=" + str(polling_location_we_vote_id) + "&google_civic_election_id=" + str(google_civic_election_id) + "&polling_location_city=" + str(polling_location_city) + "&polling_location_zip=" + str(polling_location_zip) + "&show_all_elections=" + str(show_all_elections) + "&batch_uri=" + batch_uri_encoded) @login_required def batch_action_list_view(request): """ Display row-by-row details of batch actions being reviewed, leading up to processing an entire batch. :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_set_list = [] polling_location_we_vote_id = "" batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) kind_of_batch = request.GET.get('kind_of_batch', '') show_all = request.GET.get('show_all', False) state_code = request.GET.get('state_code', '') position_owner_organization_we_vote_id = request.GET.get('position_owner_organization_we_vote_id', '') if not positive_value_exists(batch_header_id): messages.add_message(request, messages.ERROR, 'Batch_header_id required.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch)) google_civic_election_id = request.GET.get('google_civic_election_id', 0) batch_set_id = 0 try: batch_description = BatchDescription.objects.get(batch_header_id=batch_header_id) batch_description_found = True batch_set_id = batch_description.batch_set_id google_civic_election_id = batch_description.google_civic_election_id polling_location_we_vote_id = batch_description.polling_location_we_vote_id except BatchDescription.DoesNotExist: # This is fine batch_description = BatchDescription() batch_description_found = False batch_set_list_found = False # if batch_set_id exists, send data sets associated with this batch_set_id if positive_value_exists(batch_set_id): try: batch_set_list = BatchSet.objects.get(id=batch_set_id) if batch_set_list: batch_set_list_found = True except BatchSet.DoesNotExist: # This is fine batch_set_list = BatchSet() batch_set_list_found = False try: batch_header_map = BatchHeaderMap.objects.get(batch_header_id=batch_header_id) except BatchHeaderMap.DoesNotExist: # This is fine batch_header_map = BatchHeaderMap() batch_list_found = False try: batch_row_count_query = BatchRow.objects.order_by('id') batch_row_count_query = batch_row_count_query.filter(batch_header_id=batch_header_id) if positive_value_exists(state_code): batch_row_count_query = batch_row_count_query.filter(state_code__iexact=state_code) batch_row_count = batch_row_count_query.count() batch_row_query = BatchRow.objects.order_by('id') batch_row_query = batch_row_query.filter(batch_header_id=batch_header_id) if positive_value_exists(state_code): batch_row_query = batch_row_query.filter(state_code__iexact=state_code) batch_row_list = list(batch_row_query) else: if positive_value_exists(show_all): batch_row_list = list(batch_row_query) else: batch_row_list = batch_row_query[:200] if len(batch_row_list): batch_list_found = True except BatchDescription.DoesNotExist: # This is fine batch_row_list = [] batch_list_found = False modified_batch_row_list = [] active_state_codes = [] batch_manager = BatchManager() if batch_list_found: for one_batch_row in batch_row_list: if positive_value_exists(one_batch_row.state_code): if one_batch_row.state_code not in active_state_codes: active_state_codes.append(one_batch_row.state_code) if kind_of_batch == CANDIDATE: existing_results = batch_manager.retrieve_batch_row_action_candidate(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_candidate'] one_batch_row.kind_of_batch = CANDIDATE one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == CONTEST_OFFICE: existing_results = batch_manager.retrieve_batch_row_action_contest_office(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_contest_office'] one_batch_row.kind_of_batch = CONTEST_OFFICE one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == ELECTED_OFFICE: existing_results = batch_manager.retrieve_batch_row_action_elected_office(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_elected_office'] one_batch_row.kind_of_batch = ELECTED_OFFICE one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == IMPORT_BALLOT_ITEM: existing_results = \ batch_manager.retrieve_batch_row_action_ballot_item(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_ballot_item'] one_batch_row.kind_of_batch = IMPORT_BALLOT_ITEM one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == IMPORT_VOTER: existing_results = \ batch_manager.retrieve_batch_row_action_ballot_item(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_ballot_item'] one_batch_row.kind_of_batch = IMPORT_VOTER one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == MEASURE: existing_results = batch_manager.retrieve_batch_row_action_measure(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_measure'] one_batch_row.kind_of_batch = MEASURE one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == ORGANIZATION_WORD: existing_results = batch_manager.retrieve_batch_row_action_organization(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_organization'] one_batch_row.kind_of_batch = ORGANIZATION_WORD one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == POLITICIAN: existing_results = batch_manager.retrieve_batch_row_action_politician(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_politician'] one_batch_row.kind_of_batch = POLITICIAN one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) elif kind_of_batch == POSITION: existing_results = batch_manager.retrieve_batch_row_action_position(batch_header_id, one_batch_row.id) if existing_results['batch_row_action_found']: one_batch_row.batch_row_action = existing_results['batch_row_action_position'] one_batch_row.kind_of_batch = POSITION one_batch_row.batch_row_action_exists = True else: one_batch_row.batch_row_action_exists = False modified_batch_row_list.append(one_batch_row) election_query = Election.objects.order_by('-election_day_text') election_list = list(election_query) # TODO Retrieve and send a list of polling_locations to choose from into the template polling_location_list = [] if kind_of_batch == IMPORT_BALLOT_ITEM: polling_location_list = [] filtered_state_list = [] state_list = STATE_CODE_MAP sorted_state_list = sorted(state_list.items()) for one_state in sorted_state_list: if one_state[0].lower() in active_state_codes: filtered_state_list.append(one_state) messages.add_message(request, messages.INFO, 'Batch Row Count: {batch_row_count}' ''.format(batch_row_count=batch_row_count)) messages_on_stage = get_messages(request) template_values = { 'messages_on_stage': messages_on_stage, 'batch_header_id': batch_header_id, 'batch_description': batch_description, 'batch_set_id': batch_set_id, 'batch_header_map': batch_header_map, 'batch_set_list': batch_set_list, 'batch_row_list': modified_batch_row_list, 'election_list': election_list, 'kind_of_batch': kind_of_batch, 'google_civic_election_id': google_civic_election_id, 'polling_location_we_vote_id': polling_location_we_vote_id, 'state_code': state_code, 'state_list': filtered_state_list, 'position_owner_organization_we_vote_id': position_owner_organization_we_vote_id, } return render(request, 'import_export_batches/batch_action_list.html', template_values) @login_required def batch_action_list_export_view(request): """ Export batch list as a csv file. :param request: HTTP request object. :return response: HttpResponse object with csv export data. """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_set_list = [] batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) kind_of_batch = request.GET.get('kind_of_batch', '') state_code = request.GET.get('state_code', '') if not positive_value_exists(batch_header_id): messages.add_message(request, messages.ERROR, 'Batch_header_id required.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch)) batch_set_id = 0 try: batch_description = BatchDescription.objects.get(batch_header_id=batch_header_id) except BatchDescription.DoesNotExist: # This is fine batch_description = BatchDescription() # if batch_set_id exists, send data sets associated with this batch_set_id if positive_value_exists(batch_set_id): try: batch_set_list = BatchSet.objects.get(id=batch_set_id) if batch_set_list: batch_set_list_found = True except BatchSet.DoesNotExist: # This is fine batch_set_list = BatchSet() batch_set_list_found = False try: batch_header_map = BatchHeaderMap.objects.get(batch_header_id=batch_header_id) except BatchHeaderMap.DoesNotExist: # This is fine batch_header_map = BatchHeaderMap() batch_list_found = False try: batch_row_count_query = BatchRow.objects.order_by('id') batch_row_count_query = batch_row_count_query.filter(batch_header_id=batch_header_id) if positive_value_exists(state_code): batch_row_count_query = batch_row_count_query.filter(state_code__iexact=state_code) batch_row_query = BatchRow.objects.order_by('id') batch_row_query = batch_row_query.filter(batch_header_id=batch_header_id) if positive_value_exists(state_code): batch_row_query = batch_row_query.filter(state_code__iexact=state_code) batch_row_list = list(batch_row_query) if len(batch_row_list): batch_list_found = True except BatchDescription.DoesNotExist: # This is fine batch_row_list = [] batch_list_found = False # get header/first row information header_opts = BatchHeaderMap._meta header_field_names = [] for field in header_opts.fields: if field.name not in ['id', 'batch_header_id']: header_field_names.append(field.name) # get row information row_opts = BatchRow._meta row_field_names = [] for field in row_opts.fields: if field.name not in ['id', 'batch_header_id']: row_field_names.append(field.name) header_list = [getattr(batch_header_map, field) for field in header_field_names] header_list.insert(0, 'google_civic_election_id') header_list.insert(0, 'state_code') # - Filter out headers that are None. header_list = list(filter(None, header_list)) # create response for csv file response = export_csv(batch_row_list, header_list, row_field_names, batch_description) return response def export_csv(batch_row_list, header_list, row_field_names, batch_description=None, filename=None): """ Helper function that creates a HttpResponse with csv data :param batch_row_list: list of objects to export as csv :param header_list: list of column headers for csv data :param row_field_names: list of the object fields to be exported :param batch_description: optional description of the batch to export :param filename: optional name of csv file :return response: HttpResponse with text/csv data """ if batch_description and not filename: export_filename = batch_description.batch_name elif filename: export_filename = filename response = HttpResponse(content_type="text/csv") response['Content-Disposition'] = 'attachment; filename="{0}"'.format(export_filename) csv_writer = csv.writer(response) csv_writer.writerow(header_list) # output header/first row to csv for obj in batch_row_list: csv_writer.writerow([getattr(obj, field) for field in row_field_names]) return response @login_required def batch_action_list_export_voters_view(request): """ View used to create a csv export file of voters registered for the newsletter :param request: :return: HttpResponse with csv information of voters """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) # get parameters from request object kind_of_batch = request.GET.get('kind_of_batch', IMPORT_VOTER) batch_header_id = request.GET.get('batch_header_id', 0) google_civic_election_id = request.GET.get('google_civic_election_id', '') organization_we_vote_id = request.GET.get('organization_we_vote_id', '') result = export_voter_list() messages.add_message(request, messages.INFO, 'Batch Action Export Voters: ' 'Batch kind: {kind_of_batch}' ''.format(kind_of_batch=kind_of_batch)) filename = 'voter_export.csv' batch_manager = BatchManager() batch_created_result = dict() if result and result['voter_list']: # Create batch of voters registered for newsletter batch_created_result = batch_manager.create_batch_from_voter_object_list(result['voter_list']) if batch_created_result and batch_created_result['batch_header_id']: batch_header_id = batch_created_result['batch_header_id'] return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&batch_header_id=" + str(batch_header_id) ) @login_required def batch_action_list_analyze_process_view(request): """ Create BatchRowActions for either all of the BatchRows for batch_header_id, or only one with batch_row_id :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) batch_row_id = convert_to_int(request.GET.get('batch_row_id', 0)) kind_of_batch = request.GET.get('kind_of_batch', '') state_code = request.GET.get('state_code', '') if state_code == "None": state_code = "" if not positive_value_exists(batch_header_id): messages.add_message(request, messages.ERROR, 'Batch_header_id required.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch)) # if create_actions_button in (MEASURE, ELECTED_OFFICE, CANDIDATE, ORGANIZATION_WORD, # POSITION, POLITICIAN, IMPORT_BALLOT_ITEM) # Run the analysis of either A) every row in this batch, or B) Just the batch_row_id specified within this batch results = create_batch_row_actions(batch_header_id, batch_row_id, state_code) kind_of_batch = results['kind_of_batch'] messages.add_message(request, messages.INFO, 'Batch Actions: ' 'Batch kind: {kind_of_batch}, ' 'Created:{created} ' ''.format(kind_of_batch=kind_of_batch, created=results['number_of_batch_actions_created'])) return HttpResponseRedirect(reverse('import_export_batches:batch_action_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&batch_header_id=" + str(batch_header_id) + "&state_code=" + str(state_code) ) @login_required def batch_header_mapping_view(request): """ :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) kind_of_batch = request.GET.get('kind_of_batch', '') if not positive_value_exists(batch_header_id): messages.add_message(request, messages.ERROR, 'Batch_header_id required.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch)) google_civic_election_id = request.GET.get('google_civic_election_id', 0) batch_set_id = 0 try: batch_description = BatchDescription.objects.get(batch_header_id=batch_header_id) batch_set_id = batch_description.batch_set_id kind_of_batch = batch_description.kind_of_batch except BatchDescription.DoesNotExist: # This is fine batch_description = BatchDescription() # if batch_set_id exists, send data sets associated with this batch_set_id if positive_value_exists(batch_set_id): try: batch_set_list = BatchSet.objects.get(id=batch_set_id) except BatchSet.DoesNotExist: # This is fine batch_set_list = BatchSet() try: batch_header = BatchHeader.objects.get(id=batch_header_id) except BatchHeader.DoesNotExist: # This is fine batch_header = BatchHeader() try: batch_header_map = BatchHeaderMap.objects.get(batch_header_id=batch_header_id) except BatchHeaderMap.DoesNotExist: # This is fine batch_header_map = BatchHeaderMap() if kind_of_batch == CANDIDATE: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_CANDIDATES elif kind_of_batch == CONTEST_OFFICE: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_CONTEST_OFFICES elif kind_of_batch == ELECTED_OFFICE: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_ELECTED_OFFICES elif kind_of_batch == MEASURE: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_MEASURES elif kind_of_batch == ORGANIZATION_WORD: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_ORGANIZATIONS elif kind_of_batch == POLITICIAN: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_POLITICIANS elif kind_of_batch == POSITION: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_POSITIONS elif kind_of_batch == IMPORT_BALLOT_ITEM: batch_import_keys_accepted = BATCH_IMPORT_KEYS_ACCEPTED_FOR_BALLOT_ITEMS else: batch_import_keys_accepted = {} sorted_batch_import_keys_accepted = sorted(batch_import_keys_accepted.items()) try: batch_row_list = BatchRow.objects.all() batch_row_list = batch_row_list.filter(batch_header_id=batch_header_id)[:3] # Limit to 3 rows except BatchDescription.DoesNotExist: # This is fine batch_row_list = [] election_list = Election.objects.order_by('-election_day_text') messages_on_stage = get_messages(request) if batch_set_id: template_values = { 'messages_on_stage': messages_on_stage, 'batch_header_id': batch_header_id, 'batch_description': batch_description, 'batch_set_id': batch_set_id, 'batch_header': batch_header, 'batch_header_map': batch_header_map, 'batch_import_keys_accepted': sorted_batch_import_keys_accepted, 'batch_row_list': batch_row_list, 'batch_set_list': batch_set_list, 'election_list': election_list, 'kind_of_batch': kind_of_batch, 'google_civic_election_id': google_civic_election_id, } else: template_values = { 'messages_on_stage': messages_on_stage, 'batch_header_id': batch_header_id, 'batch_description': batch_description, 'batch_set_id': batch_set_id, 'batch_header': batch_header, 'batch_header_map': batch_header_map, 'batch_import_keys_accepted': sorted_batch_import_keys_accepted, 'batch_row_list': batch_row_list, 'election_list': election_list, 'kind_of_batch': kind_of_batch, 'google_civic_election_id': google_civic_election_id, } return render(request, 'import_export_batches/batch_header_mapping.html', template_values) @login_required def batch_header_mapping_process_view(request): """ :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) save_header_mapping_button = request.GET.get('save_header_mapping_button', '') kind_of_batch = "" if not positive_value_exists(batch_header_id): messages.add_message(request, messages.ERROR, 'Batch_header_id required.') return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=()) + "?kind_of_batch=" + str(kind_of_batch)) batch_set_id = 0 try: batch_description = BatchDescription.objects.get(batch_header_id=batch_header_id) batch_set_id = batch_description.batch_set_id kind_of_batch = batch_description.kind_of_batch except BatchDescription.DoesNotExist: # This is fine batch_description = BatchDescription() # Put all incoming header_mapping values into a dict incoming_header_map_values = { 'batch_header_map_000': request.GET.get('batch_header_map_000', ''), 'batch_header_map_001': request.GET.get('batch_header_map_001', ''), 'batch_header_map_002': request.GET.get('batch_header_map_002', ''), 'batch_header_map_003': request.GET.get('batch_header_map_003', ''), 'batch_header_map_004': request.GET.get('batch_header_map_004', ''), 'batch_header_map_005': request.GET.get('batch_header_map_005', ''), 'batch_header_map_006': request.GET.get('batch_header_map_006', ''), 'batch_header_map_007': request.GET.get('batch_header_map_007', ''), 'batch_header_map_008': request.GET.get('batch_header_map_008', ''), 'batch_header_map_009': request.GET.get('batch_header_map_009', ''), 'batch_header_map_010': request.GET.get('batch_header_map_010', ''), 'batch_header_map_011': request.GET.get('batch_header_map_011', ''), 'batch_header_map_012': request.GET.get('batch_header_map_012', ''), 'batch_header_map_013': request.GET.get('batch_header_map_013', ''), 'batch_header_map_014': request.GET.get('batch_header_map_014', ''), 'batch_header_map_015': request.GET.get('batch_header_map_015', ''), 'batch_header_map_016': request.GET.get('batch_header_map_016', ''), 'batch_header_map_017': request.GET.get('batch_header_map_017', ''), 'batch_header_map_018': request.GET.get('batch_header_map_018', ''), 'batch_header_map_019': request.GET.get('batch_header_map_019', ''), 'batch_header_map_020': request.GET.get('batch_header_map_020', ''), } batch_header_mapping_results = create_or_update_batch_header_mapping( batch_header_id, kind_of_batch, incoming_header_map_values) try: batch_header = BatchHeader.objects.get(id=batch_header_id) batch_header_found = True except BatchHeader.DoesNotExist: # This is fine batch_header = BatchHeader() batch_header_found = False suggestions_created = 0 if batch_header_found: batch_header_translation_results = create_batch_header_translation_suggestions( batch_header, kind_of_batch, incoming_header_map_values) suggestions_created = batch_header_translation_results['suggestions_created'] messages.add_message(request, messages.INFO, 'Batch Header Mapping Updated: ' 'Batch kind: {kind_of_batch}, ' 'suggestions_created: {suggestions_created}, ' ''.format(kind_of_batch=kind_of_batch, suggestions_created=suggestions_created)) return HttpResponseRedirect(reverse('import_export_batches:batch_action_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&batch_header_id=" + str(batch_header_id)) @login_required def batch_action_list_assign_election_to_rows_process_view(request): """ :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_row_list_found = False batch_row_list = [] batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) batch_row_id = convert_to_int(request.GET.get('batch_row_id', 0)) kind_of_batch = request.GET.get('kind_of_batch', '') kind_of_action = request.GET.get('kind_of_action') state_code = request.GET.get('state_code', '') google_civic_election_id = convert_to_int(request.GET.get('google_civic_election_id', 0)) # do for entire batch_rows try: batch_header_map = BatchHeaderMap.objects.get(batch_header_id=batch_header_id) batch_header_map_found = True except BatchHeaderMap.DoesNotExist: # This is fine batch_header_map = BatchHeaderMap() batch_header_map_found = False if batch_header_map_found: try: batch_row_query = BatchRow.objects.all() batch_row_query = batch_row_query.filter(batch_header_id=batch_header_id) if positive_value_exists(batch_row_id): batch_row_query = batch_row_query.filter(id=batch_row_id) if positive_value_exists(state_code): batch_row_query = batch_row_query.filter(state_code__iexact=state_code) batch_row_list = list(batch_row_query) if len(batch_row_list): batch_row_list_found = True except BatchDescription.DoesNotExist: # This is fine batch_row_list_found = False pass if batch_header_map_found and batch_row_list_found: for one_batch_row in batch_row_list: try: one_batch_row.google_civic_election_id = google_civic_election_id one_batch_row.save() except Exception as e: pass # messages.add_message(request, messages.INFO, # 'Kind of Batch: {kind_of_batch}, ' 'Number Created: {created} ' # ''.format(kind_of_batch=kind_of_batch, # created=results['number_of_table_rows_created'])) return HttpResponseRedirect(reverse('import_export_batches:batch_action_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&batch_header_id=" + str(batch_header_id) + "&state_code=" + str(state_code) + "&google_civic_election_id=" + str(google_civic_election_id) ) @login_required def batch_action_list_create_or_update_process_view(request): """ Use batch_row_action entries and create live data :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_row_list_found = False batch_header_id = convert_to_int(request.GET.get('batch_header_id', 0)) batch_row_id = convert_to_int(request.GET.get('batch_row_id', 0)) kind_of_batch = request.GET.get('kind_of_batch', '') kind_of_action = request.GET.get('kind_of_action') state_code = request.GET.get('state_code', '') # do for entire batch_rows try: batch_header_map = BatchHeaderMap.objects.get(batch_header_id=batch_header_id) batch_header_map_found = True except BatchHeaderMap.DoesNotExist: # This is fine batch_header_map = BatchHeaderMap() batch_header_map_found = False if batch_header_map_found: try: batch_row_query = BatchRow.objects.all() batch_row_query = batch_row_query.filter(batch_header_id=batch_header_id) if positive_value_exists(batch_row_id): batch_row_query = batch_row_query.filter(id=batch_row_id) if positive_value_exists(state_code): batch_row_query = batch_row_query.filter(state_code__iexact=state_code) batch_row_list = list(batch_row_query) if len(batch_row_list): batch_row_list_found = True except BatchDescription.DoesNotExist: # This is fine batch_row_list_found = False pass if batch_header_map_found and batch_row_list_found: results = import_data_from_batch_row_actions( kind_of_batch, kind_of_action, batch_header_id, batch_row_id, state_code) if kind_of_action == IMPORT_CREATE: if results['success']: messages.add_message(request, messages.INFO, 'Kind of Batch: {kind_of_batch}, ' 'Number Created: {created} ' ''.format(kind_of_batch=kind_of_batch, created=results['number_of_table_rows_created'])) else: messages.add_message(request, messages.ERROR, 'Batch kind: {kind_of_batch} create failed: {status}' ''.format(kind_of_batch=kind_of_batch, status=results['status'])) elif kind_of_action == IMPORT_ADD_TO_EXISTING: if results['success']: messages.add_message(request, messages.INFO, 'Kind of Batch: {kind_of_batch}, ' 'Number Updated: {updated} ' ''.format(kind_of_batch=kind_of_batch, updated=results['number_of_table_rows_updated'])) else: messages.add_message(request, messages.ERROR, 'Batch kind: {kind_of_batch} update failed--' 'UPDATE may not be supported yet.' ''.format(kind_of_batch=kind_of_batch)) else: messages.add_message(request, messages.ERROR, 'Batch kind: {kind_of_batch} import status: {status}' ''.format(kind_of_batch=kind_of_batch, status=results['status'])) return HttpResponseRedirect(reverse('import_export_batches:batch_list', args=())) return HttpResponseRedirect(reverse('import_export_batches:batch_action_list', args=()) + "?kind_of_batch=" + str(kind_of_batch) + "&batch_header_id=" + str(batch_header_id) + "&state_code=" + str(state_code) ) @login_required def batch_set_list_view(request): """ Display a list of import batch set :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) # kind_of_batch = request.GET.get('kind_of_batch', '') batch_file = request.GET.get('batch_file', '') batch_uri = request.GET.get('batch_uri', '') google_civic_election_id = request.GET.get('google_civic_election_id', 0) messages_on_stage = get_messages(request) batch_set_list_found = False try: batch_set_list = BatchSet.objects.order_by('-import_date') # batch_set_list = batch_set_list.exclude(batch_set_id__isnull=True) if positive_value_exists(google_civic_election_id): batch_set_list = batch_set_list.filter(google_civic_election_id=google_civic_election_id) if len(batch_set_list): batch_set_list_found = True except BatchSet.DoesNotExist: # This is fine batch_set_list = BatchSet() batch_set_list_found = False pass election_list = Election.objects.order_by('-election_day_text') if batch_set_list_found: template_values = { 'messages_on_stage': messages_on_stage, 'batch_set_list': batch_set_list, 'election_list': election_list, 'batch_file': batch_file, 'batch_uri': batch_uri, 'google_civic_election_id': google_civic_election_id, } else: template_values = { 'messages_on_stage': messages_on_stage, 'election_list': election_list, 'batch_file': batch_file, 'batch_uri': batch_uri, 'google_civic_election_id': google_civic_election_id, } return render(request, 'import_export_batches/batch_set_list.html', template_values) @login_required def batch_set_list_process_view(request): """ Load in a new batch set to start the importing process :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_uri = request.POST.get('batch_uri', '') google_civic_election_id = request.POST.get('google_civic_election_id', 0) organization_we_vote_id = request.POST.get('organization_we_vote_id', '') # Was form submitted, or was election just changed? import_batch_button = request.POST.get('import_batch_button', '') batch_uri_encoded = urlquote(batch_uri) if positive_value_exists(batch_uri) else "" batch_file = None # Store contents of spreadsheet? # if not positive_value_exists(google_civic_election_id): # messages.add_message(request, messages.ERROR, 'This batch set requires you to choose an election.') # return HttpResponseRedirect(reverse('import_export_batches:batch_set_list', args=()) + # "?batch_uri=" + batch_uri_encoded) election_manager = ElectionManager() election_name = "" results = election_manager.retrieve_election(google_civic_election_id) if results['election_found']: election = results['election'] election_name = election.election_name if positive_value_exists(import_batch_button): # If the button was pressed... batch_manager = BatchManager() try: if request.method == 'POST' and request.FILES['batch_file']: batch_file = request.FILES['batch_file'] except KeyError: pass if batch_file is not None: results = batch_manager.create_batch_set_vip_xml( batch_file, batch_uri, google_civic_election_id, organization_we_vote_id) if results['batch_saved']: messages.add_message(request, messages.INFO, 'Import batch for {election_name} election saved.' ''.format(election_name=election_name)) else: messages.add_message(request, messages.ERROR, results['status']) elif positive_value_exists(batch_uri): # check file type filetype = batch_manager.find_file_type(batch_uri) if "xml" in filetype: # file is XML # Retrieve the VIP data from XML results = batch_manager.create_batch_set_vip_xml( batch_file, batch_uri, google_civic_election_id, organization_we_vote_id) else: pass # results = batch_manager.create_batch(batch_uri, google_civic_election_id, organization_we_vote_id) if results['batch_saved']: messages.add_message(request, messages.INFO, 'Import batch for {election_name} election saved.' ''.format(election_name=election_name)) else: messages.add_message(request, messages.ERROR, results['status']) return HttpResponseRedirect(reverse('import_export_batches:batch_set_list', args=()) + "?google_civic_election_id=" + str(google_civic_election_id) + "&batch_uri=" + batch_uri_encoded) @login_required def batch_set_batch_list_view(request): """ Display row-by-row details of batch_set actions being reviewed, leading up to processing an entire batch_set. :param request: :return: """ authority_required = {'verified_volunteer'} # admin, verified_volunteer if not voter_has_authority(request, authority_required): return redirect_to_sign_in_page(request, authority_required) batch_set_id = convert_to_int(request.GET.get('batch_set_id', 0)) if not positive_value_exists(batch_set_id): messages.add_message(request, messages.ERROR, 'Batch_set_id required.') return HttpResponseRedirect(reverse('import_export_batches:batch_set_list', args=())) google_civic_election_id = request.GET.get('google_civic_election_id', 0) analyze_all_button = request.GET.get('analyze_all_button', 0) create_all_button = request.GET.get('create_all_button', 0) show_all_batches = request.GET.get('show_all_batches', False) state_code = request.GET.get('state_code', "") update_all_button = request.GET.get('update_all_button', 0) batch_list_modified = [] batch_manager = BatchManager() batch_set_count = 0 batch_set_kind_of_batch = "" try: if positive_value_exists(analyze_all_button): batch_actions_analyzed = 0 batch_actions_not_analyzed = 0 batch_header_id_created_list = [] batch_description_query = BatchDescription.objects.filter(batch_set_id=batch_set_id) batch_description_query = batch_description_query.filter(batch_description_analyzed=False) batch_list = list(batch_description_query) for one_batch_description in batch_list: results = create_batch_row_actions(one_batch_description.batch_header_id) if results['batch_actions_created']: batch_actions_analyzed += 1 try: # If BatchRowAction's were created for BatchDescription, this batch_description was analyzed one_batch_description.batch_description_analyzed = True one_batch_description.save() batch_header_id_created_list.append(one_batch_description.batch_header_id) except Exception as e: pass else: batch_actions_not_analyzed += 1 batch_description_query = BatchDescription.objects.filter(batch_set_id=batch_set_id) if positive_value_exists(len(batch_header_id_created_list)): batch_description_query = batch_description_query.exclude( batch_header_id__in=batch_header_id_created_list) batch_list = list(batch_description_query) for one_batch_description in batch_list: results = create_batch_row_actions(one_batch_description.batch_header_id) if results['batch_actions_created']: batch_actions_analyzed += 1 try: # If BatchRowAction's were created for BatchDescription, this batch_description was analyzed one_batch_description.batch_description_analyzed = True one_batch_description.save() except Exception as e: pass else: batch_actions_not_analyzed += 1 if positive_value_exists(batch_actions_analyzed): messages.add_message(request, messages.INFO, "Analyze All, BatchRows Analyzed: " "" + str(batch_actions_analyzed)) if positive_value_exists(batch_actions_not_analyzed): messages.add_message(request, messages.ERROR, "Analyze All, BatchRows NOT Analyzed: " "" + str(batch_actions_not_analyzed)) return HttpResponseRedirect(reverse('import_export_batches:batch_set_batch_list', args=()) + "?google_civic_election_id=" + str(google_civic_election_id) + "&batch_set_id=" + str(batch_set_id) + "&state_code=" + state_code) if positive_value_exists(update_all_button): batch_description_query = BatchDescription.objects.filter(batch_set_id=batch_set_id) batch_description_query = batch_description_query.filter(batch_description_analyzed=True) batch_list = list(batch_description_query) batch_actions_updated = 0 batch_actions_not_updated = 0 for one_batch_description in batch_list: results = import_data_from_batch_row_actions( one_batch_description.kind_of_batch, IMPORT_ADD_TO_EXISTING, one_batch_description.batch_header_id) if results['number_of_table_rows_updated']: batch_actions_updated += 1 else: batch_actions_not_updated += 1 if positive_value_exists(batch_actions_updated): messages.add_message(request, messages.INFO, "Update in All Batches, Updates: " "" + str(batch_actions_updated)) if positive_value_exists(batch_actions_not_updated): messages.add_message(request, messages.ERROR, "Update in All Batches, Failed Updates: " "" + str(batch_actions_not_updated)) return HttpResponseRedirect(reverse('import_export_batches:batch_set_batch_list', args=()) + "?google_civic_election_id=" + str(google_civic_election_id) + "&batch_set_id=" + str(batch_set_id) + "&state_code=" + state_code) if positive_value_exists(create_all_button): batch_description_query = BatchDescription.objects.filter(batch_set_id=batch_set_id) batch_description_query = batch_description_query.filter(batch_description_analyzed=True) batch_list = list(batch_description_query) batch_actions_created = 0 batch_actions_not_created = 0 for one_batch_description in batch_list: results = import_data_from_batch_row_actions( one_batch_description.kind_of_batch, IMPORT_CREATE, one_batch_description.batch_header_id) if results['number_of_table_rows_created']: batch_actions_created += 1 else: batch_actions_not_created += 1 if positive_value_exists(batch_actions_created): messages.add_message(request, messages.INFO, "Create in All Batches, Creates: " "" + str(batch_actions_created)) if positive_value_exists(batch_actions_not_created): messages.add_message(request, messages.ERROR, "Create in All Batches, FAILED Creates: " "" + str(batch_actions_not_created)) return HttpResponseRedirect(reverse('import_export_batches:batch_set_batch_list', args=()) + "?google_civic_election_id=" + str(google_civic_election_id) + "&batch_set_id=" + str(batch_set_id) + "&state_code=" + state_code) batch_description_query = BatchDescription.objects.filter(batch_set_id=batch_set_id) batch_set_count = batch_description_query.count() batch_list = list(batch_description_query) if not positive_value_exists(show_all_batches): batch_list = batch_list[:10] # Loop through all batches and add count data for one_batch_description in batch_list: batch_header_id = one_batch_description.batch_header_id one_batch_description.number_of_batch_rows_imported = batch_manager.fetch_batch_row_count(batch_header_id) one_batch_description.number_of_batch_rows_analyzed = \ batch_manager.fetch_batch_row_action_count(batch_header_id, one_batch_description.kind_of_batch) one_batch_description.number_of_batch_actions_to_create = \ batch_manager.fetch_batch_row_action_count(batch_header_id, one_batch_description.kind_of_batch, IMPORT_CREATE) one_batch_description.number_of_table_rows_to_update = \ batch_manager.fetch_batch_row_action_count(batch_header_id, one_batch_description.kind_of_batch, IMPORT_ADD_TO_EXISTING) one_batch_description.number_of_batch_actions_cannot_act = \ one_batch_description.number_of_batch_rows_analyzed - \ one_batch_description.number_of_batch_actions_to_create - \ one_batch_description.number_of_table_rows_to_update batch_set_kind_of_batch = one_batch_description.kind_of_batch batch_list_modified.append(one_batch_description) except BatchDescription.DoesNotExist: # This is fine pass election_list = Election.objects.order_by('-election_day_text') status_message = '{batch_set_count} batches in this batch set. '.format(batch_set_count=batch_set_count) batch_row_items_to_create_for_this_set = batch_manager.fetch_batch_row_action_count_in_batch_set( batch_set_id, batch_set_kind_of_batch, IMPORT_CREATE) if positive_value_exists(batch_row_items_to_create_for_this_set): status_message += 'BatchRowActions to create: {batch_row_items_to_create_for_this_set} '.format( batch_row_items_to_create_for_this_set=batch_row_items_to_create_for_this_set) batch_row_items_to_update_for_this_set = batch_manager.fetch_batch_row_action_count_in_batch_set( batch_set_id, batch_set_kind_of_batch, IMPORT_ADD_TO_EXISTING) if positive_value_exists(batch_row_items_to_update_for_this_set): status_message += 'BatchRowActions to update: {batch_row_items_to_update_for_this_set} '.format( batch_row_items_to_update_for_this_set=batch_row_items_to_update_for_this_set) messages.add_message(request, messages.INFO, status_message) messages_on_stage = get_messages(request) template_values = { 'messages_on_stage': messages_on_stage, 'batch_set_id': batch_set_id, 'batch_list': batch_list_modified, 'election_list': election_list, 'google_civic_election_id': google_civic_election_id, 'show_all_batches': show_all_batches, } return render(request, 'import_export_batches/batch_set_batch_list.html', template_values)

50.246489

120

0.652583

6114223291b33e16fb09186a92983ad362b82254

13,862

py

Python

bin/single_node_perf_run.py

garyli1019/impala

ea0e1def6160d596082b01365fcbbb6e24afb21d

[ "Apache-2.0" ]

null

bin/single_node_perf_run.py

garyli1019/impala

ea0e1def6160d596082b01365fcbbb6e24afb21d

[ "Apache-2.0" ]

1

2022-03-29T21:58:11.000Z

bin/single_node_perf_run.py

garyli1019/impala

ea0e1def6160d596082b01365fcbbb6e24afb21d

[ "Apache-2.0" ]

null

#!/usr/bin/env impala-python # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # Usage: # single_node_perf_run.py [options] git_hash_A [git_hash_B] # # When one hash is given, measures the performance on the specified workloads. # When two hashes are given, compares their performance. Output is in # $IMPALA_HOME/perf_results/latest. In the performance_result.txt file, # git_hash_A is referred to as the "Base" result. For example, if you run with # git_hash_A = aBad1dea... and git_hash_B = 8675309... the # performance_result.txt will say at the top: # # Run Description: "aBad1dea... vs 8675309..." # # The different queries will have their run time statistics in columns # "Avg(s)", "StdDev(%)", "BaseAvg(s)", "Base StdDev(%)". The first two refer # to git_hash_B, the second two refer to git_hash_A. The column "Delta(Avg)" # is negative if git_hash_B is faster and is positive if git_hash_A is faster. # # WARNING: This script will run git checkout. You should not touch the tree # while the script is running. You should start the script from a clean git # tree. # # WARNING: When --load is used, this script calls load_data.py which can # overwrite your TPC-H and TPC-DS data. # # Options: # -h, --help show this help message and exit # --workloads=WORKLOADS # comma-separated list of workloads. Choices: tpch, # targeted-perf, tpcds. Default: targeted-perf # --scale=SCALE scale factor for the workloads # --iterations=ITERATIONS # number of times to run each query # --table_formats=TABLE_FORMATS # comma-separated list of table formats. Default: # parquet/none # --num_impalads=NUM_IMPALADS # number of impalads. Default: 1 # --query_names=QUERY_NAMES # comma-separated list of regular expressions. A query # is executed if it matches any regular expression in # this list # --load load databases for the chosen workloads # --start_minicluster start a new Hadoop minicluster # --ninja use ninja, rather than Make, as the build tool from optparse import OptionParser from tempfile import mkdtemp import json import os import pipes import sh import shutil import subprocess import sys import textwrap from tests.common.test_dimensions import TableFormatInfo IMPALA_HOME = os.environ["IMPALA_HOME"] def configured_call(cmd): """Call a command in a shell with config-impala.sh.""" if type(cmd) is list: cmd = " ".join([pipes.quote(arg) for arg in cmd]) cmd = "source {0}/bin/impala-config.sh && {1}".format(IMPALA_HOME, cmd) return subprocess.check_call(["bash", "-c", cmd]) def load_data(db_to_load, table_formats, scale): """Loads a database with a particular scale factor.""" configured_call(["{0}/bin/load-data.py".format(IMPALA_HOME), "--workloads", db_to_load, "--scale_factor", str(scale), "--table_formats", "text/none," + table_formats]) for table_format in table_formats.split(","): suffix = TableFormatInfo.create_from_string(None, table_format).db_suffix() db_name = db_to_load + scale + suffix configured_call(["{0}/tests/util/compute_table_stats.py".format(IMPALA_HOME), "--stop_on_error", "--db_names", db_name]) def get_git_hash_for_name(name): return sh.git("rev-parse", name).strip() def build(git_hash, options): """Builds Impala in release mode; doesn't build tests.""" sh.git.checkout(git_hash) buildall = ["{0}/buildall.sh".format(IMPALA_HOME), "-notests", "-release", "-noclean"] if options.ninja: buildall += ["-ninja"] configured_call(buildall) def start_minicluster(): configured_call(["{0}/bin/create-test-configuration.sh".format(IMPALA_HOME)]) configured_call(["{0}/testdata/bin/run-all.sh".format(IMPALA_HOME)]) def start_impala(num_impalads, options): configured_call(["{0}/bin/start-impala-cluster.py".format(IMPALA_HOME), "-s", str(num_impalads), "-c", str(num_impalads)] + ["--impalad_args={0}".format(arg) for arg in options.impalad_args]) def run_workload(base_dir, workloads, options): """Runs workload with the given options. Returns the git hash of the current revision to identify the output file. """ git_hash = get_git_hash_for_name("HEAD") run_workload = ["{0}/bin/run-workload.py".format(IMPALA_HOME)] impalads = ",".join(["localhost:{0}".format(21000 + i) for i in range(0, int(options.num_impalads))]) run_workload += ["--workloads={0}".format(workloads), "--impalads={0}".format(impalads), "--results_json_file={0}/{1}.json".format(base_dir, git_hash), "--query_iterations={0}".format(options.iterations), "--table_formats={0}".format(options.table_formats), "--plan_first"] if options.query_names: run_workload += ["--query_names={0}".format(options.query_names)] configured_call(run_workload) def report_benchmark_results(file_a, file_b, description): """Wrapper around report_benchmark_result.py.""" result = "{0}/perf_results/latest/performance_result.txt".format(IMPALA_HOME) with open(result, "w") as f: subprocess.check_call( ["{0}/tests/benchmark/report_benchmark_results.py".format(IMPALA_HOME), "--reference_result_file={0}".format(file_a), "--input_result_file={0}".format(file_b), '--report_description="{0}"'.format(description)], stdout=f) sh.cat(result, _out=sys.stdout) def compare(base_dir, hash_a, hash_b): """Take the results of two performance runs and compare them.""" file_a = os.path.join(base_dir, hash_a + ".json") file_b = os.path.join(base_dir, hash_b + ".json") description = "{0} vs {1}".format(hash_a, hash_b) report_benchmark_results(file_a, file_b, description) # From the two json files extract the profiles and diff them generate_profile_file(file_a, hash_a, base_dir) generate_profile_file(file_b, hash_b, base_dir) sh.diff("-u", os.path.join(base_dir, hash_a + "_profile.txt"), os.path.join(base_dir, hash_b + "_profile.txt"), _out=os.path.join(IMPALA_HOME, "performance_result_profile_diff.txt"), _ok_code=[0, 1]) def generate_profile_file(name, hash, base_dir): """Extracts runtime profiles from the JSON file 'name'. Writes the runtime profiles back in a simple text file in the same directory. """ with open(name) as fid: data = json.load(fid) with open(os.path.join(base_dir, hash + "_profile.txt"), "w+") as out: # For each query for key in data: for iteration in data[key]: out.write(iteration["runtime_profile"]) out.write("\n\n") def backup_workloads(): """Copy the workload folder to a temporary directory and returns its name. Used to keep workloads from being clobbered by git checkout. """ temp_dir = mkdtemp() sh.cp(os.path.join(IMPALA_HOME, "testdata", "workloads"), temp_dir, R=True, _out=sys.stdout, _err=sys.stderr) print "Backed up workloads to {0}".format(temp_dir) return temp_dir def restore_workloads(source): """Restores the workload directory from source into the Impala tree.""" sh.cp(os.path.join(source, "workloads"), os.path.join(IMPALA_HOME, "testdata"), R=True, _out=sys.stdout, _err=sys.stderr) def perf_ab_test(options, args): """Does the main work: build, run tests, compare.""" hash_a = get_git_hash_for_name(args[0]) # Create the base directory to store the results in results_path = os.path.join(IMPALA_HOME, "perf_results") if not os.access(results_path, os.W_OK): os.makedirs(results_path) temp_dir = mkdtemp(dir=results_path, prefix="perf_run_") latest = os.path.join(results_path, "latest") if os.path.islink(latest): os.remove(latest) os.symlink(os.path.basename(temp_dir), latest) workload_dir = backup_workloads() build(hash_a, options) restore_workloads(workload_dir) if options.start_minicluster: start_minicluster() start_impala(options.num_impalads, options) workloads = set(options.workloads.split(",")) if options.load: WORKLOAD_TO_DATASET = {"tpch": "tpch", "tpcds": "tpcds", "targeted-perf": "tpch", "tpcds-unmodified": "tpcds-unmodified"} datasets = set([WORKLOAD_TO_DATASET[workload] for workload in workloads]) for dataset in datasets: load_data(dataset, options.table_formats, options.scale) workloads = ",".join(["{0}:{1}".format(workload, options.scale) for workload in workloads]) run_workload(temp_dir, workloads, options) if len(args) > 1 and args[1]: hash_b = get_git_hash_for_name(args[1]) # discard any changes created by the previous restore_workloads() shutil.rmtree("testdata/workloads") sh.git.checkout("--", "testdata/workloads") build(hash_b, options) restore_workloads(workload_dir) start_impala(options.num_impalads, options) run_workload(temp_dir, workloads, options) compare(temp_dir, hash_a, hash_b) def parse_options(): """Parse and return the options and positional arguments.""" parser = OptionParser() parser.add_option("--workloads", default="targeted-perf", help="comma-separated list of workloads. Choices: tpch, " "targeted-perf, tpcds. Default: targeted-perf") parser.add_option("--scale", help="scale factor for the workloads") parser.add_option("--iterations", default=30, help="number of times to run each query") parser.add_option("--table_formats", default="parquet/none", help="comma-separated " "list of table formats. Default: parquet/none") parser.add_option("--num_impalads", default=1, help="number of impalads. Default: 1") # Less commonly-used options: parser.add_option("--query_names", help="comma-separated list of regular expressions. A query is " "executed if it matches any regular expression in this list") parser.add_option("--load", action="store_true", help="load databases for the chosen workloads") parser.add_option("--start_minicluster", action="store_true", help="start a new Hadoop minicluster") parser.add_option("--ninja", action="store_true", help = "use ninja, rather than Make, as the build tool") parser.add_option("--impalad_args", dest="impalad_args", action="append", type="string", default=[], help="Additional arguments to pass to each Impalad during startup") parser.set_usage(textwrap.dedent(""" single_node_perf_run.py [options] git_hash_A [git_hash_B] When one hash is given, measures the performance on the specified workloads. When two hashes are given, compares their performance. Output is in $IMPALA_HOME/perf_results/latest. In the performance_result.txt file, git_hash_A is referred to as the "Base" result. For example, if you run with git_hash_A = aBad1dea... and git_hash_B = 8675309... the performance_result.txt will say at the top: Run Description: "aBad1dea... vs 8675309..." The different queries will have their run time statistics in columns "Avg(s)", "StdDev(%)", "BaseAvg(s)", "Base StdDev(%)". The first two refer to git_hash_B, the second two refer to git_hash_A. The column "Delta(Avg)" is negative if git_hash_B is faster and is positive if git_hash_A is faster. WARNING: This script will run git checkout. You should not touch the tree while the script is running. You should start the script from a clean git tree. WARNING: When --load is used, this script calls load_data.py which can overwrite your TPC-H and TPC-DS data.""")) options, args = parser.parse_args() if not 1 <= len(args) <= 2: parser.print_usage(sys.stderr) raise Exception("Invalid arguments: either 1 or 2 Git hashes allowed") return options, args def main(): """A thin wrapper around perf_ab_test that restores git state after.""" options, args = parse_options() os.chdir(IMPALA_HOME) if sh.git("status", "--porcelain", "--untracked-files=no", _out=None).strip(): sh.git("status", "--porcelain", "--untracked-files=no", _out=sys.stdout) raise Exception("Working copy is dirty. Consider 'git stash' and try again.") # Save the current hash to be able to return to this place in the tree when done current_hash = sh.git("rev-parse", "--abbrev-ref", "HEAD").strip() if current_hash == "HEAD": current_hash = get_git_hash_for_name("HEAD") try: workloads = backup_workloads() perf_ab_test(options, args) finally: # discard any changes created by the previous restore_workloads() shutil.rmtree("testdata/workloads") sh.git.checkout("--", "testdata/workloads") sh.git.checkout(current_hash) restore_workloads(workloads) if __name__ == "__main__": main()

39.719198

90

0.683523

efbdd60f7e7df707454e54362451b8083eb75b85

1,855

py

Python

database_connections/SAP_HANA/hana_ml_connection.py

ant358/ML_tools

9e0d562e12d7253d68dd8081967de9e300b84eda

[ "MIT" ]

null

database_connections/SAP_HANA/hana_ml_connection.py

ant358/ML_tools

9e0d562e12d7253d68dd8081967de9e300b84eda

[ "MIT" ]

null

database_connections/SAP_HANA/hana_ml_connection.py

ant358/ML_tools

9e0d562e12d7253d68dd8081967de9e300b84eda

[ "MIT" ]

null

# Connect to the SAP Datawarehouse and upload some tables from our local db import pandas as pd import hana_ml.dataframe as dataframe import sqlalchemy as sq # Import the Connection details import Parameters as p # connect to local data engine = sq.create_engine('sqlite:///../data/local.db') # connect to HANA conn = dataframe.ConnectionContext( address=p.address, port=p.port, user=p.user, password=p.password, encrypt=p.encrypt, sslValidateCertificate=p.sslValidateCertificate, databaseName=p.databaseName ) if conn: print('User connected to HANA successfully') # check the connection assert conn.get_current_schema() == 'SPACE#USER', ( "Not connected to the correct schema") def load_table(schema_name='SPACE#USER', table_name=None, local_name=None): """Upload a table from local db to SAP HANA does not return anything a connection to SAP DWC (conn) and the local db (engine) should be available Args: schema_name (str): the schema name to upload to table_name (str): the table name to upload local_name (str): the local table name to upload from Returns: None """ assert table_name is not None, "Input the SAP HANA table name" assert local_name is not None, "Input the name of the local db table" # load table from local db df = pd.read_sql_table(local_name, con=engine) assert len(df) > 0, "Table did not load correctly" # Persist the data from the file into a table in HANA upload = dataframe.create_dataframe_from_pandas( connection_context=conn, pandas_df=df, table_name=table_name, schema=schema_name, force=True, replace=True) upload = conn.table(table_name, schema=schema_name) print('Success!\n', upload.head(1).collect())

30.409836

75

0.689488

6769efd6b2ee19441eb5cf34b87ac11f35ccc720

255

py

Python

proj/migrations/0005_merge_0003_merge_20220131_1826_0004_photo.py

StarrFnl/CS_django_2122

441adb6df7fba17ccde72f9cf0b7803f8aa2621b

[ "MIT" ]

null

proj/migrations/0005_merge_0003_merge_20220131_1826_0004_photo.py

StarrFnl/CS_django_2122

441adb6df7fba17ccde72f9cf0b7803f8aa2621b

[ "MIT" ]

1

2022-01-26T08:54:44.000Z

proj/migrations/0005_merge_0003_merge_20220131_1826_0004_photo.py

StarrFnl/CS_django_2122

441adb6df7fba17ccde72f9cf0b7803f8aa2621b

[ "MIT" ]

3

2022-01-20T14:55:02.000Z

2022-01-26T11:16:35.000Z

# Generated by Django 4.0.2 on 2022-02-07 10:42 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('proj', '0003_merge_20220131_1826'), ('proj', '0004_photo'), ] operations = [ ]

17

47

0.623529

85d0b710b11f59abe099ce066bddcb259859ce54

4,041

py

Python

visualisation.py

Rubin-ga/pandemics

653275ad938d908d191edeb3c362c77b0c968e71

[ "BSD-2-Clause" ]

null

visualisation.py

Rubin-ga/pandemics

653275ad938d908d191edeb3c362c77b0c968e71

[ "BSD-2-Clause" ]

null

visualisation.py

Rubin-ga/pandemics

653275ad938d908d191edeb3c362c77b0c968e71

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python # coding: utf-8 import matplotlib import matplotlib.pyplot as plt from IPython import display import numpy as np import copy # Prepares axis for a grid visualisation def visualisation_setup(ax, model, title=None): ax.set_title(title) ax.set_ylim(-0.5, model.grid.height-0.5) ax.set_xlim(-0.5, model.grid.width-0.5) ax.set_xticks(np.arange(0, model.grid.width, 2)) ax.set_yticks(np.arange(0, model.grid.height, 2)) # Visualises single feature from profile for all agents def heatmap_all_agents_profile_feature(ax, cax, model, feature): visualisation_setup(ax, model, feature) matrix = np.zeros((model.grid.height, model.grid.width)) for content, x, y in model.grid.coord_iter(): f_sum = 0 for a in content: f_sum += a.profile[feature] if content: f_avg = f_sum/len(content) matrix[y][x] = f_avg else: matrix[y][x] = -1 cmap = copy.copy(plt.cm.get_cmap('seismic')) cmap.set_under('black') im = ax.imshow(matrix, vmin=0, vmax=1, cmap=cmap) ax.set_title(feature) plt.colorbar(im, ax=ax, cax=cax, orientation="horizontal") # Visualises safety for all cells def heatmap_safety_per_cell(ax, cax, model): visualisation_setup(ax, model, "safety per cell") im = ax.imshow(model.safety_per_cell, vmin=0, vmax=1, cmap='Blues_r', origin='lower', aspect='auto') plt.colorbar(im, ax=ax, cax=cax, orientation="horizontal") # Visualises building types def visualise_buildings_map(ax, cax, model): visualisation_setup(ax, model, "building map") cmap = matplotlib.cm.get_cmap('Blues_r', 100) cmap.set_under('lightgrey') im = ax.imshow(model.buildings_map, vmin=min(model.config.building_tags.values()), vmax=max(model.config.building_tags.values()), cmap=cmap, origin='lower', aspect='auto') plt.colorbar(im, ax=ax, cax=cax, orientation="horizontal") # Displays single agent position with given color. If `tail` is True # also show path from previous position. def visualise_agent_position(ax, model, agent, c='red', tail=False): visualisation_setup(ax, model, "position") if agent.prev_pos: px, py = agent.prev_pos else: px, py = agent.pos x, y = agent.pos ax.plot([x], [y], color=c, markersize=5, marker='o') if tail and abs(px-x) <= 1 and abs(py-y) <= 1: # the grid is toroidal ax.plot([px, x], [py, y], color=c, markersize=5, marker=None) # Display all agents positions coloring them by colormap def visualise_all_agents_position(ax, model): visualisation_setup(ax, model, "position") cmap = plt.cm.get_cmap('summer') #normalize item number values to colormap norm = matplotlib.colors.Normalize(vmin=0, vmax=len(model.schedule.agents)) for a in model.schedule.agents: visualise_agent_position(ax, model, a, cmap(norm(a.unique_id)), True) # Maps agent infection state to color def get_color_for_infection_state(agent): if agent.is_infected() and not agent.is_infectious(): return "pink" elif agent.is_infectious() and not agent.is_symptomatic(): return "red" elif agent.is_infectious() and agent.is_symptomatic(): return "orange" elif agent.is_immune(): return "green" return "yellow" # Displays all agents positions coloring them by COVID status def visualise_all_agents_position_and_covid_status(ax, model): visualisation_setup(ax, model, "position and COVID status") for a in model.schedule.agents: c = get_color_for_infection_state(a) visualise_agent_position(ax, model, a, c=c, tail=True) def plot_agent_feature(ax, model, agent, feature): all_data = model.datacollector.get_agent_vars_dataframe() agent_data = all_data.xs(agent.unique_id, level="AgentID")[feature] agent_data.plot(ax=ax) ax.set_title(feature) def plot_all_agents_feature(ax, model, feature): for a in model.schedule.agents: plot_agent_feature(ax, model, a, feature)

38.485714

104

0.690176

467a1430a761d9e8d7e184058bf6979799f6eb5a

2,823

py

Python

test/test_inline_object1.py

bsneade/statuspageio-python

30526a2984251885381e781b12b5070d46063537

[ "Apache-2.0" ]

2

2020-03-02T20:32:32.000Z

2020-05-20T16:54:58.000Z

test/test_inline_object1.py

bsneade/statuspageio-python

30526a2984251885381e781b12b5070d46063537

[ "Apache-2.0" ]

null

test/test_inline_object1.py

bsneade/statuspageio-python

30526a2984251885381e781b12b5070d46063537

[ "Apache-2.0" ]

null

# coding: utf-8 """ Statuspage API # Code of Conduct Please don't abuse the API, and please report all feature requests and issues to https://help.statuspage.io/help/contact-us-30 # Rate Limiting Each API token is limited to 1 request / second as measured on a 60 second rolling window. To get this limit increased or lifted, please contact us at https://help.statuspage.io/help/contact-us-30 # Basics ## HTTPS It's required ## URL Prefix In order to maintain version integrity into the future, the API is versioned. All calls currently begin with the following prefix: https://api.statuspage.io/v1/ ## RESTful Interface Wherever possible, the API seeks to implement repeatable patterns with logical, representative URLs and descriptive HTTP verbs. Below are some examples and conventions you will see throughout the documentation. * Collections are buckets: https://api.statuspage.io/v1/pages/asdf123/incidents.json * Elements have unique IDs: https://api.statuspage.io/v1/pages/asdf123/incidents/jklm456.json * GET will retrieve information about a collection/element * POST will create an element in a collection * PATCH will update a single element * PUT will replace a single element in a collection (rarely used) * DELETE will destroy a single element ## Sending Data Information can be sent in the body as form urlencoded or JSON, but make sure the Content-Type header matches the body structure or the server gremlins will be angry. All examples are provided in JSON format, however they can easily be converted to form encoding if required. Some examples of how to convert things are below: // JSON { \"incident\": { \"name\": \"test incident\", \"components\": [\"8kbf7d35c070\", \"vtnh60py4yd7\"] } } // Form Encoded (using curl as an example): curl -X POST https://api.statuspage.io/v1/example \\ -d \"incident[name]=test incident\" \\ -d \"incident[components][]=8kbf7d35c070\" \\ -d \"incident[components][]=vtnh60py4yd7\" # Authentication  # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import spio from spio.models.inline_object1 import InlineObject1 # noqa: E501 from spio.rest import ApiException class TestInlineObject1(unittest.TestCase): """InlineObject1 unit test stubs""" def setUp(self): pass def tearDown(self): pass def testInlineObject1(self): """Test InlineObject1""" # FIXME: construct object with mandatory attributes with example values # model = spio.models.inline_object1.InlineObject1() # noqa: E501 pass if __name__ == '__main__': unittest.main()

70.575

2,064

0.722281

f11e2eec27115cb3b26f998073c80da97c2caf32

194

py

Python

Voice Robot.py

iJARG/Voice-Robot

2317162e9f3208e704ffd44fe1b0b534a8015746

[ "Apache-2.0" ]

null

Voice Robot.py

iJARG/Voice-Robot

2317162e9f3208e704ffd44fe1b0b534a8015746

[ "Apache-2.0" ]

null

Voice Robot.py

iJARG/Voice-Robot

2317162e9f3208e704ffd44fe1b0b534a8015746

[ "Apache-2.0" ]

null

from gtts import gTTS import os mytext = 'write here' language = 'es' myobj = gTTS(text=mytext, lang=language, slow=False) myobj.save("audio.mp3") os.system("mpg321 audio.mp3")

14.923077

53

0.670103

445699713379ac81fd254c6e788cd692789163da

2,533

py

Python

tests/executors/crafters/image/test_crop.py

phamtrancsek12/jina

efa339fd7e19760d9033b51e54a1b5eca60f1c5f

[ "Apache-2.0" ]

2

2021-06-18T11:55:15.000Z

2021-08-30T20:15:46.000Z

tests/executors/crafters/image/test_crop.py

phamtrancsek12/jina

efa339fd7e19760d9033b51e54a1b5eca60f1c5f

[ "Apache-2.0" ]

null

tests/executors/crafters/image/test_crop.py

phamtrancsek12/jina

efa339fd7e19760d9033b51e54a1b5eca60f1c5f

[ "Apache-2.0" ]

null

import unittest import numpy as np from jina.executors.crafters.image.crop import ImageCropper, CenterImageCropper, RandomImageCropper, FiveImageCropper, \ SlidingWindowImageCropper from tests.executors.crafters.image import JinaImageTestCase class MyTestCase(JinaImageTestCase): def test_crop(self): img_size = 217 img_array = self.create_random_img_array(img_size, img_size) left = 2 top = 17 width = 20 height = 20 crafter = ImageCropper(left, top, width, height) crafted_chunk = crafter.craft(img_array, 0, 0) np.testing.assert_array_equal( crafted_chunk['blob'], np.asarray(img_array[top:top + height, left:left + width, :]), 'img_array: {}\ntest: {}\ncontrol:{}'.format( img_array.shape, crafted_chunk['blob'].shape, np.asarray(img_array[left:left + width, top:top + height, :]).shape)) def test_center_crop(self): img_size = 217 img_array = self.create_random_img_array(img_size, img_size) output_dim = 20 crafter = CenterImageCropper(output_dim) crafted_chunk = crafter.craft(img_array, 0, 0) self.assertEqual(crafted_chunk["blob"].shape, (20, 20, 3)) def test_random_crop(self): img_size = 217 img_array = self.create_random_img_array(img_size, img_size) output_dim = 20 num_pathes = 20 crafter = RandomImageCropper(output_dim, num_pathes) crafted_chunk_list = crafter.craft(img_array, 0, 0) self.assertEqual(len(crafted_chunk_list), num_pathes) def test_random_crop(self): img_size = 217 img_array = self.create_random_img_array(img_size, img_size) output_dim = 20 crafter = FiveImageCropper(output_dim) crafted_chunk_list = crafter.craft(img_array, 0, 0) self.assertEqual(len(crafted_chunk_list), 5) def test_sliding_windows(self): img_size = 14 img_array = self.create_random_img_array(img_size, img_size) output_dim = 4 strides = (6, 6) crafter = SlidingWindowImageCropper(output_dim, strides, 'VALID') crafted_chunk_list = crafter.craft(img_array, 0, 0) self.assertEqual(len(crafted_chunk_list), 4) crafter = SlidingWindowImageCropper(output_dim, strides, 'SAME') crafted_chunk_list = crafter.craft(img_array, 0, 0) self.assertEqual(len(crafted_chunk_list), 9) if __name__ == '__main__': unittest.main()

37.25

120

0.664824

15c651981487e8ff83598eac39f7579e427b7788

4,101

py

Python

scraping.py

daniel89mk/Mission-to-Mars

1fe91f9ed08e1c28da0c79b1b7a56c72f0c3449d

[ "MIT" ]

null

scraping.py

daniel89mk/Mission-to-Mars

1fe91f9ed08e1c28da0c79b1b7a56c72f0c3449d

[ "MIT" ]

null

scraping.py

daniel89mk/Mission-to-Mars

1fe91f9ed08e1c28da0c79b1b7a56c72f0c3449d

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 # Import Splinter and BeautifulSoup from splinter import Browser from bs4 import BeautifulSoup as soup import pandas as pd import datetime as dt from webdriver_manager.chrome import ChromeDriverManager def scrape_all(): # Initiate headless drvier for deployment executable_path = {'executable_path': ChromeDriverManager().install()} browser = Browser('chrome', **executable_path, headless=True) news_title, news_p = mars_news(browser) # hemisphere_image_urls = hemispheres(browser) # Run all scraping functions and store results in a dictionary data = { "news_title": news_title, "news_paragraph": news_p, "featured_image": featured_image(browser), "facts": mars_facts(), "last_modified": dt.datetime.now(), "hemispheres": hemispheres(browser) } # Stop webdriver and return data browser.quit() return data # Visit the mars nasa news site def mars_news(browser): url = 'https://redplanetscience.com' browser.visit(url) # Optional delay for loading the page browser.is_element_present_by_css('div.list_text', wait_time=1) html = browser.html news_soup = soup(html, 'html.parser') try: slide_elem = news_soup.select_one('div.list_text') slide_elem.find('div', class_='content_title') # Use the parent element to find the first `a` tag and save it as `news_title` news_title = slide_elem.find('div', class_='content_title').get_text() # Use the parent element to find the paragraph text news_p = slide_elem.find('div', class_='article_teaser_body').get_text() except AttributeError: return None, None return news_title, news_p # ### Featured Images # Visit URL def featured_image(browser): url = 'https://spaceimages-mars.com' browser.visit(url) # Find and click the full image button full_image_elem = browser.find_by_tag('button')[1] full_image_elem.click() browser.is_element_present_by_text('more info', wait_time=1) # Parse the resulting html with soup html = browser.html img_soup = soup(html, 'html.parser') try: # Find the relative image url img_url_rel = img_soup.find('img', class_='fancybox-image').get('src') except AttributeError: return None # Use the base URL to create an absolute URL img_url = f'https://spaceimages-mars.com/{img_url_rel}' return img_url def mars_facts(): try: df = pd.read_html('https://galaxyfacts-mars.com')[0] except BaseException: return None df.columns=['Description', 'Mars', 'Earth'] df.set_index('Description', inplace=True) return df.to_html(classes="table table-striped") def hemispheres(browser): url = 'https://marshemispheres.com/' browser.visit(url) hemisphere_image_urls =[] for i in range(4): hemispheres = {} browser.find_by_css('a.product-item h3')[i].click() # hemisphere_data = scrape_hemisphere(browser.html) # hemisphere_image_urls.append(hemisphere_data) sample_element = browser.find_link_by_text("Sample").first hemispheres["img_url"] = sample_element["href"] hemispheres["title"] = browser.find_by_css("h2.title").text hemisphere_image_urls.append(hemispheres) browser.back() return hemisphere_image_urls # def scrape_hemisphere(html_text): # hemisphere_soup = soup(html_text, "html.parser") # try: # title_element = hemisphere_soup.find("h2", class_="title").get_text() # sample_element = hemisphere_soup.find("a",text='Sample').get("href") # except AttributeError: # title_element = None # sample_element = None # hemispheres_dictionary = { # "title": title_element, # "img_url": sample_element # } # return hemispheres_dictionary if __name__ == "__main__": # If running as script, print scraped data print(scrape_all())

29.503597

86

0.663009

e2bf37401ec162a83d80d12aa563cb18f319ea4d

2,564

py

Python

src/data/bdd100k_drivablearea.py

hezl1592/deeplabv3-_mobilenetv2

cc3134d54bd84f700531c230353228541a7336f5

[ "MIT" ]

null

src/data/bdd100k_drivablearea.py

hezl1592/deeplabv3-_mobilenetv2

cc3134d54bd84f700531c230353228541a7336f5

[ "MIT" ]

null

src/data/bdd100k_drivablearea.py

hezl1592/deeplabv3-_mobilenetv2

cc3134d54bd84f700531c230353228541a7336f5

[ "MIT" ]

null

from functools import partial import numpy as np from pathlib import Path import os import cv2 import torch from torch.utils.data import DataLoader, Dataset class BDD100K_Area_Seg(Dataset): n_classes = 3 void_classes = [] valid_classes = [0, 1, 2] class_map = dict(zip(valid_classes, range(n_classes))) def __init__(self, base_dir='./dataset/bdd100k', split='train', target_size=(1280, 720), dataLen=None, net_type='deeplab', ignore_index=255, debug=False, affine_augmenter=None, image_augmenter=None): self.debug = debug assert os.path.exists(base_dir), "{} is not exists, check.".format(base_dir) self.base_dir = Path(base_dir) assert net_type in ['unet', 'deeplab'] self.net_type = net_type self.ignore_index = ignore_index self.split = 'val' if split == 'valid' else split self.img_paths = sorted(self.base_dir.glob(f'images/{self.split}/*.jpg'))[:dataLen] self.lbl_paths = sorted(self.base_dir.glob(f'labels/{self.split}/*drivable_id.png'))[:dataLen] assert len(self.img_paths) == len(self.lbl_paths), "image num erro" # Resize # print(type(self.size), self.size) if isinstance(target_size, str): target_size = eval(target_size) self.size = target_size # Augment if self.split == 'train': self.affine_augmenter = affine_augmenter self.image_augmenter = image_augmenter else: self.affine_augmenter = None self.image_augmenter = None def __len__(self): return len(self.img_paths) def __getitem__(self, index): img_path = self.img_paths[index] image_source = cv2.imread(str(img_path), -1) image_source = cv2.resize(image_source, self.size, cv2.INTER_LINEAR) image_tensor = torch.from_numpy(image_source.transpose((2, 0, 1))) image_tensor = image_tensor.float().div(255) image_tensor = image_tensor.sub(0.5).div(0.5) lbl_path = self.lbl_paths[index] label_source = cv2.imread(str(lbl_path), -1) label_source = cv2.resize(label_source, self.size, cv2.INTER_NEAREST) lbl = self.encode_mask(label_source) label_tensor = torch.LongTensor(lbl) return image_tensor, label_tensor def encode_mask(self, lbl): for c in self.void_classes: lbl[lbl == c] = self.ignore_index for c in self.valid_classes: lbl[lbl == c] = self.class_map[c] return lbl

36.112676

106

0.641576

605bda600cb2b6485d6487d1cd03550cbb72f9ea

3,193

py

Python

terminusdb_client/woql_utils.py

pnijhara/terminusdb-client-python

bdc3480c21a6c1eb123abae1592e6a2b27b046c1

[ "Apache-2.0" ]

null

terminusdb_client/woql_utils.py

pnijhara/terminusdb-client-python

bdc3480c21a6c1eb123abae1592e6a2b27b046c1

[ "Apache-2.0" ]

null

terminusdb_client/woql_utils.py

pnijhara/terminusdb-client-python

bdc3480c21a6c1eb123abae1592e6a2b27b046c1

[ "Apache-2.0" ]

null

import urllib.parse STANDARD_URLS = { "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#", "rdfs": "http://www.w3.org/2000/01/rdf-schema#", "xsd": "http://www.w3.org/2001/XMLSchema#", "xdd": "http://terminusdb.com/schema/xdd#", "owl": "http://www.w3.org/2002/07/owl#", "terminus": "http://terminusdb.com/schema/terminus#", "vio": "http://terminusdb.com/schema/vio#", "repo": "http://terminusdb.com/schema/repository#", "layer": "http://terminusdb.com/schema/layer#", "woql": "http://terminusdb.com/schema/woql#", "ref": "http://terminusdb.com/schema/ref#", } def encode_uri_component(value): return urllib.parse.urlencode(value, doseq=True) def uri_encode_payload(payload): if isinstance(payload, str): return encode_uri_component(payload) payload_arr = [] if isinstance(payload, dict): for key, value in payload.items(): """ if dictionary inside dictionary """ if isinstance(value, dict): # for keyElement,valueElement in value.items(): payload_arr.append(encode_uri_component(value)) else: payload_arr.append(encode_uri_component({key: value})) return "&".join(payload_arr) def add_params_to_url(url, payload): if payload: params = uri_encode_payload(payload) if params: url = "{}?{}".format(url, params) return url # below are utils for WOQLQuery def add_namespaces_to_variable(var): if var[:2] != "v:": return "v:" + var return var def add_namespaces_to_variables(variables): nvars = [] for v_item in variables: nvars.append(add_namespaces_to_variable(v_item)) return nvars def empty(obj): """ * is the object empty? * returns true if the json object is empty """ if not obj: # Assume if it has a length property with a non-zero value # that that property is correct. return True if len(obj) > 0: return False if len(obj) == 0: return True # Otherwise, does it have any properties of its own? # if type(obj) == dict: # for key in obj.keys(): # if hasattr(obj,key): # return False return True def shorten(url, prefixes=None): prefixes = prefixes if prefixes else STANDARD_URLS for pref, val in prefixes.items(): short_url = url[: len(val)] if val == short_url: return f"{pref}:{short_url}" return url def is_data_type(stype): sh = shorten(stype) if sh and (sh[:4] == "xsd:" or sh[:4] == "xdd:"): return True return False def valid_url(string): if string and (string[:7] == "http://" or string[:8] == "https://"): return True return False def url_fraqment(url): bits = url.split("#") if len(bits) > 1: return bits[1] return url def label_from_url(url): nurl = url_fraqment(url) nurl = nurl if nurl else url last_char = nurl.rfind("/") if last_char < len(nurl) - 1: nurl = nurl[last_char + 1 :] nurl = nurl.replace("_", " ") return nurl[0].upper() + nurl[1:]

26.38843

72

0.593799

79f97baba816049ba7fa4c7e47c994ee9f7d6a28

7,023

py

Python

Python/GoogleTranslator.py

Avey777/free-google-translate

12a92cd424c620bd9661abcf962205b212d35906

[ "MIT" ]

99

2020-04-23T14:24:23.000Z

2022-03-27T08:17:25.000Z

Python/GoogleTrans2.py

leungBH/free-google-translate

3d0c1eae8b86c910393a76a73b7b0759a1bb25b1

[ "MIT" ]

6

2020-09-22T12:02:17.000Z

2021-09-27T10:52:34.000Z

Python/GoogleTrans2.py

leungBH/free-google-translate

3d0c1eae8b86c910393a76a73b7b0759a1bb25b1

[ "MIT" ]

48

2020-05-15T14:59:59.000Z

2022-03-21T07:36:50.000Z

#! /usr/bin/env python # -*- coding:utf-8 -*- # 网友的建议：https://github.com/VictorZhang2014/free-google-translate/issues/6 # import urllib.parse import requests import json import re import ssl import ctypes ssl._create_default_https_context = ssl._create_unverified_context class GoogleTrans(object): def __init__(self): self.url = 'https://translate.google.cn/translate_a/single' self.TKK = "434674.96463358" # 随时都有可能需要更新的TKK值 self.header = { "accept": "*/*", "accept-language": "zh-CN,zh;q=0.9", "cookie": "NID=188=M1p_rBfweeI_Z02d1MOSQ5abYsPfZogDrFjKwIUbmAr584bc9GBZkfDwKQ80cQCQC34zwD4ZYHFMUf4F59aDQLSc79_LcmsAihnW0Rsb1MjlzLNElWihv-8KByeDBblR2V1kjTSC8KnVMe32PNSJBQbvBKvgl4CTfzvaIEgkqss", "referer": "https://translate.google.cn/", "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36", "x-client-data": "CJK2yQEIpLbJAQjEtskBCKmdygEIqKPKAQi5pcoBCLGnygEI4qjKAQjxqcoBCJetygEIza3KAQ==", } self.data = { "client": "webapp", # 基于网页访问服务器 "sl": "auto", # 源语言,auto表示由谷歌自动识别 "tl": "vi", # 翻译的目标语言 "hl": "zh-CN", # 界面语言选中文，毕竟URL都是cn后缀了，就不装美国人了 "dt": ["at", "bd", "ex", "ld", "md", "qca", "rw", "rm", "ss", "t"], # dt表示要求服务器返回的数据类型 "otf": "2", "ssel": "0", "tsel": "0", "kc": "1", "tk": "", # 谷歌服务器会核对的token "q": "" # 待翻译的字符串 } class JSHackToken(): def rshift(self, val, n): return (val % 0x100000000) >> n def Number(self, val): try: return eval(val, {}, {}) except: return 0 class Undefined: def __init__(): pass class js_array(): def __init__(self, outer, init=[]): self.outer = outer self.storage = list(init).copy() def __getitem__(self, key): if (type(key).__name__ != 'int'): if (type(key).__name__ == 'float') and int(key) != key: return 0 try: key = int(key) except: return 0 if len(self.storage)<=key or key<0: return 0 return self.storage[key] def __setitem__(self, key, value): if (type(key).__name__ != 'int'): if (type(key).__name__ == 'float') and int(key) != key: return 0 try: key = int(key) except: return 0 if key<0: return 0 while key >= len(self.storage): self.storage.append(0) self.storage[key] = value return def __len__(self): return len(self.storage) def __str__(self): return self.storage.__str__() def __repr__(self): return self.storage.__repr__() def array(self, init = []): return self.js_array(self, init) def uo(self, a, b): for c in range(0, len(b)-2, 3): d = b[c+2] if 'a' <= d: d = ord(d)-87 else: d = self.Number(d) if '+' == b[c+1]: d = self.rshift(a, d) else: d = a<<d if b[c] == "+": a = a + d & 4294967295 else: a = a ^ d return a def wo(self, a, tkk): d = self.array(init = tkk.split(".")) b = self.Number(d[0]) e = self.array() f = 0 g = 0 while g < len(a): h = ord(a[g]) if 128 > h: e[f] = h f += 1 else: if 2048 > h: e[f] = h >> 6 | 192 f += 1 else: if (55296 == (h & 64512)) and (g + 1 < len(a)) and (56320 == (ord(a[g+1]) & 64512)): h = 65536 + ((h & 1023) << 10) + (ord(a[g+1]) & 1023) g += 1 e[f] = h >> 18 | 240 f += 1 e[f] = h >> 12 & 63 | 128 f += 1 else: e[f] = h >> 12 | 224 f += 1 e[f] = h >> 6 & 63 | 128 f += 1 e[f] = h & 63 | 128 f += 1 g += 1 a = b for f in range(0, len(e)): a += e[f] a = ctypes.c_long(a).value a = self.uo(a, '+-a^+6') a = self.uo(a, '+-3^+b+-f') a ^= self.Number(d[1]) if 0 > a: a = (a & 2147483647)+2147483648 a %= 10**6 return str(a)+'.'+str(a^b) # 构建完对象以后要同步更新一下TKK值 # self.update_TKK() def update_TKK(self): url = "https://translate.google.cn/" req = requests.get(url, headers=self.header) page_source = req.text self.TKK = re.findall(r"tkk:'([0-9]+\.[0-9]+)'", page_source)[0] def construct_url(self): base = self.url + '?' for key in self.data: if isinstance(self.data[key], list): base = base + "dt=" + "&dt=".join(self.data[key]) + "&" else: base = base + key + '=' + self.data[key] + '&' base = base[:-1] return base def query(self, q, lang_to=''): self.data['q'] = urllib.parse.quote(q) self.data['tk'] = self.JSHackToken().wo(q, self.TKK) self.data['tl'] = lang_to url = self.construct_url() robj = requests.post(url) response = json.loads(robj.text) targetText = response[0][0][0] originalText = response[0][0][1] originalLanguageCode = response[2] print("翻译前：{}，翻译前code：{}".format(originalText, originalLanguageCode)) print("==============================") print("翻译后：{}, 翻译后code：{}".format(targetText, lang_to)) return originalText, originalLanguageCode, targetText, lang_to if __name__ == '__main__': text = "Hello world" originalText, originalLanguageCode, targetText, targetLanguageCode = GoogleTrans().query(text, lang_to='zh-CN') print("==============================") print(originalText, originalLanguageCode, targetText, targetLanguageCode)

36.769634

204

0.427595

890cb5da80a7f1c301ca73351f3c8091389e108b

144

py

Python

src/keep_awake.py

Neelhtak/notion-heroku

7a991d520d340ac7055905ebd6e67c3d9532c97d

[ "MIT" ]

39

2019-07-18T20:27:06.000Z

2022-03-10T03:13:57.000Z

src/keep_awake.py

Neelhtak/notion-heroku

7a991d520d340ac7055905ebd6e67c3d9532c97d

[ "MIT" ]

3

2019-12-09T21:56:22.000Z

2019-12-11T02:17:05.000Z

src/keep_awake.py

Neelhtak/notion-heroku

7a991d520d340ac7055905ebd6e67c3d9532c97d

[ "MIT" ]

8

2019-07-17T03:40:24.000Z

2021-03-04T14:33:33.000Z

#!/usr/bin/env -S PATH="${PATH}:/usr/local/bin" python3 import requests def ping(): requests.get('https://notion-heroku.herokuapp.com/')

18

56

0.673611

3f9d420bb5e04b42c5071002f4dc7699bf35f32e

1,800

py

Python

test.py

brucelightyear/text-summarization-tensorflow

359191315eb94143b463321426fdea661fdb0284

[ "MIT" ]

null

test.py

brucelightyear/text-summarization-tensorflow

359191315eb94143b463321426fdea661fdb0284

[ "MIT" ]

null

test.py

brucelightyear/text-summarization-tensorflow

359191315eb94143b463321426fdea661fdb0284

[ "MIT" ]

null

import tensorflow as tf import pickle from model import Model from utils import build_dict, build_dataset, batch_iter with open("args.pickle", "rb") as f: args = pickle.load(f) print("Loading dictionary...") word_dict, reversed_dict, article_max_len, summary_max_len = build_dict("valid", args.toy) print("Loading validation dataset...") valid_x = build_dataset("valid", word_dict, article_max_len, summary_max_len, args.toy) valid_x_len = [len([y for y in x if y != 0]) for x in valid_x] with tf.compat.v1.Session() as sess: print("Loading saved model...") model = Model(reversed_dict, article_max_len, summary_max_len, args, forward_only=True) saver = tf.compat.v1.train.Saver(tf.compat.v1.global_variables()) ckpt = tf.train.get_checkpoint_state("./saved_model/") saver.restore(sess, ckpt.model_checkpoint_path) batches = batch_iter(valid_x, [0] * len(valid_x), args.batch_size, 1) print("Writing summaries to 'result.txt'...") for batch_x, _ in batches: batch_x_len = [len([y for y in x if y != 0]) for x in batch_x] valid_feed_dict = { model.batch_size: len(batch_x), model.X: batch_x, model.X_len: batch_x_len, } prediction = sess.run(model.prediction, feed_dict=valid_feed_dict) prediction_output = [[reversed_dict[y] for y in x] for x in prediction[:, 0, :]] with open("result.txt", "a") as f: for line in prediction_output: summary = list() for word in line: if word == "</s>": break if word not in summary: summary.append(word) print(" ".join(summary), file=f) print('Summaries are saved to "result.txt"...')

37.5

91

0.626111

a561ca4e1a2a7048a2690a184049be424842cb64

1,363

py

Python

search_service/proxy/__init__.py

mgorsk1/amundsensearchlibrary

e61bea51b9df26b382ad8d745861ba05bfbadf65

[ "Apache-2.0" ]

3

2021-02-09T13:52:03.000Z

2022-02-26T02:36:02.000Z

search_service/proxy/__init__.py

mgorsk1/amundsensearchlibrary

e61bea51b9df26b382ad8d745861ba05bfbadf65

[ "Apache-2.0" ]

1

2021-02-08T23:21:04.000Z

search_service/proxy/__init__.py

mgorsk1/amundsensearchlibrary

e61bea51b9df26b382ad8d745861ba05bfbadf65

[ "Apache-2.0" ]

2

2021-02-23T18:23:35.000Z

2022-03-18T15:12:25.000Z

# Copyright Contributors to the Amundsen project. # SPDX-License-Identifier: Apache-2.0 from threading import Lock from flask import current_app from search_service import config from search_service.proxy.base import BaseProxy from werkzeug.utils import import_string _proxy_client = None _proxy_client_lock = Lock() DEFAULT_PAGE_SIZE = 10 def get_proxy_client() -> BaseProxy: """ Provides singleton proxy client based on the config :return: Proxy instance of any subclass of BaseProxy """ global _proxy_client if _proxy_client: return _proxy_client with _proxy_client_lock: if _proxy_client: return _proxy_client else: obj = current_app.config[config.PROXY_CLIENT_KEY] # Gather all the configuration to create a Proxy Client host = current_app.config[config.PROXY_ENDPOINT] user = current_app.config[config.PROXY_USER] password = current_app.config[config.PROXY_PASSWORD] client = import_string(current_app.config[config.PROXY_CLIENT]) # number of results per search page page_size = current_app.config.get(config.SEARCH_PAGE_SIZE_KEY, DEFAULT_PAGE_SIZE) _proxy_client = client(host=host, user=user, password=password, client=obj, page_size=page_size) return _proxy_client

29.630435

108

0.7146

3e71109ac878ce791f251495491c42ac225bf98b

2,099

py

Python

train/dataloaders/base_loader.py

idearibosome/tf_perceptual_eusr

2bdd79adcbb7ee55bfc0593879fd5831c9859098

[ "Apache-2.0" ]

45

2018-09-12T19:15:18.000Z

2021-06-11T13:12:55.000Z

dataloaders/base_loader.py

idearibosome/tf-sr-attack

0fed8bc639449dd1556fb6071658b26e64f68783

[ "Apache-2.0" ]

6

2018-10-29T11:04:35.000Z

2021-08-24T06:33:36.000Z

dataloaders/base_loader.py

idearibosome/tf-sr-attack

0fed8bc639449dd1556fb6071658b26e64f68783

[ "Apache-2.0" ]

11

2018-10-11T05:14:14.000Z

2021-03-13T16:09:15.000Z

import os import numpy as np import tensorflow as tf FLAGS = tf.flags.FLAGS def create_loader(): return BaseLoader() class BaseLoader(): def __init__(self): pass def prepare(self): """ Prepare the data loader. """ raise NotImplementedError def get_num_images(self): """ Get the number of images. Returns: The number of images. """ raise NotImplementedError def get_patch_batch(self, batch_size, scale, input_patch_size): """ Get a batch of input and ground-truth image patches. Args: batch_size: The number of image patches. scale: Scale of the input image patches. input_patch_size: Size of the input image patches. Returns: input_list: A list of input image patches. truth_list: A list of ground-truth image patches. """ raise NotImplementedError def get_random_image_patch_pair(self, scale, input_patch_size): """ Get a random pair of input and ground-truth image patches. Args: scale: Scale of the input image patch. input_patch_size: Size of the input image patch. Returns: A tuple of (input image patch, ground-truth image patch). """ raise NotImplementedError def get_image_patch_pair(self, image_index, scale, input_patch_size): """ Get a pair of input and ground-truth image patches for given image index. Args: image_index: Index of the image to be retrieved. Should be in [0, get_num_images()-1]. scale: Scale of the input image patch. input_patch_size: Size of the input image patch. Returns: A tuple of (input image patch, ground-truth image patch). """ raise NotImplementedError def get_image_pair(self, image_index, scale): """ Get a pair of input and ground-truth images for given image index. Args: image_index: Index of the image to be retrieved. Should be in [0, get_num_images()-1]. scale: Scale of the input image. Returns: A tuple of (input image, ground-truth image, image_name). """ raise NotImplementedError

27.986667

92

0.679371