xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

7245e4ee3c439ac1f2f7a0e94bf04d9b5353f1a1

102

py

Python

solo/models.py

Saket-Komawar/Forex

a470cb59cc0e9d4ed71713975cd8d2f778540100

[ "Apache-2.0" ]

null

solo/models.py

Saket-Komawar/Forex

a470cb59cc0e9d4ed71713975cd8d2f778540100

[ "Apache-2.0" ]

2

2020-06-05T17:30:33.000Z

2021-06-10T18:53:59.000Z

solo/models.py

Saket-Komawar/Forex

a470cb59cc0e9d4ed71713975cd8d2f778540100

[ "Apache-2.0" ]

2

2017-02-01T09:24:27.000Z

2017-02-05T17:09:02.000Z

from __future__ import unicode_literals from django.utils import timezone # Create your models here.

20.4

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0

0.137255

102

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null

0

1

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0

1

0

5

a0faffe70e2f94cd30c329d35c99ac7f6da17aff

42

py

Python

rl_algorithm/For_Later/hybrid_in_meta.py

jgwak1/Hybrid-MBMF

35030015b59c5cea2b072594320c2a9b6448f941

[ "MIT" ]

null

rl_algorithm/For_Later/hybrid_in_meta.py

jgwak1/Hybrid-MBMF

35030015b59c5cea2b072594320c2a9b6448f941

[ "MIT" ]

null

rl_algorithm/For_Later/hybrid_in_meta.py

jgwak1/Hybrid-MBMF

35030015b59c5cea2b072594320c2a9b6448f941

[ "MIT" ]

null

# To extend hybridMBMF to Meta-RL setting.

42

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0.857143

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0

5

9d03c7d6013ac7a1a5e986ff1ac3f66fbd04cbb5

25,284

py

Python

tests/test_openapi_parser/test_properties.py

acgray/openapi-python-client

d47bc429660738dfd120797ddca032dca93ef210

[ "MIT" ]

null

tests/test_openapi_parser/test_properties.py

acgray/openapi-python-client

d47bc429660738dfd120797ddca032dca93ef210

[ "MIT" ]

null

tests/test_openapi_parser/test_properties.py

acgray/openapi-python-client

d47bc429660738dfd120797ddca032dca93ef210

[ "MIT" ]

null

import pytest MODULE_NAME = "openapi_python_client.openapi_parser.properties" class TestProperty: def test_get_type_string(self): from openapi_python_client.openapi_parser.properties import Property p = Property(name="test", required=True, default=None) p._type_string = "TestType" assert p.get_type_string() == "TestType" p.required = False assert p.get_type_string() == "Optional[TestType]" def test_to_string(self, mocker): from openapi_python_client.openapi_parser.properties import Property name = mocker.MagicMock() snake_case = mocker.patch(f"openapi_python_client.utils.snake_case") p = Property(name=name, required=True, default=None) get_type_string = mocker.patch.object(p, "get_type_string") assert p.to_string() == f"{snake_case(name)}: {get_type_string()}" p.required = False assert p.to_string() == f"{snake_case(name)}: {get_type_string()} = None" p.default = "TEST" assert p.to_string() == f"{snake_case(name)}: {get_type_string()} = TEST" def test_get_imports(self, mocker): from openapi_python_client.openapi_parser.properties import Property name = mocker.MagicMock() mocker.patch(f"openapi_python_client.utils.snake_case") p = Property(name=name, required=True, default=None) assert p.get_imports(prefix="") == set() p.required = False assert p.get_imports(prefix="") == {"from typing import Optional"} class TestStringProperty: def test___post_init__(self): from openapi_python_client.openapi_parser.properties import StringProperty sp = StringProperty(name="test", required=True, default="A Default Value",) assert sp.default == '"A Default Value"' def test_get_type_string(self): from openapi_python_client.openapi_parser.properties import StringProperty p = StringProperty(name="test", required=True, default=None) assert p.get_type_string() == "str" p.required = False assert p.get_type_string() == "Optional[str]" class TestDateTimeProperty: def test_get_imports(self, mocker): from openapi_python_client.openapi_parser.properties import DateTimeProperty name = mocker.MagicMock() mocker.patch(f"openapi_python_client.utils.snake_case") p = DateTimeProperty(name=name, required=True, default=None) assert p.get_imports(prefix="") == { "from datetime import datetime", "from typing import cast", } p.required = False assert p.get_imports(prefix="") == { "from typing import Optional", "from datetime import datetime", "from typing import cast", } class TestDateProperty: def test_get_imports(self, mocker): from openapi_python_client.openapi_parser.properties import DateProperty name = mocker.MagicMock() mocker.patch(f"openapi_python_client.utils.snake_case") p = DateProperty(name=name, required=True, default=None) assert p.get_imports(prefix="") == { "from datetime import date", "from typing import cast", } p.required = False assert p.get_imports(prefix="") == { "from typing import Optional", "from datetime import date", "from typing import cast", } class TestFileProperty: def test_get_imports(self, mocker): from openapi_python_client.openapi_parser.properties import FileProperty name = mocker.MagicMock() mocker.patch(f"openapi_python_client.utils.snake_case") prefix = "blah" p = FileProperty(name=name, required=True, default=None) assert p.get_imports(prefix=prefix) == {f"from {prefix}.types import File", "from dataclasses import astuple"} p.required = False assert p.get_imports(prefix=prefix) == { "from typing import Optional", f"from {prefix}.types import File", "from dataclasses import astuple", } class TestListProperty: def test_get_type_string(self, mocker): from openapi_python_client.openapi_parser.properties import ListProperty inner_property = mocker.MagicMock() inner_type_string = mocker.MagicMock() inner_property.get_type_string.return_value = inner_type_string p = ListProperty(name="test", required=True, default=None, inner_property=inner_property) assert p.get_type_string() == f"List[{inner_type_string}]" p.required = False assert p.get_type_string() == f"Optional[List[{inner_type_string}]]" p = ListProperty(name="test", required=True, default=[], inner_property=inner_property) assert p.default == f"field(default_factory=lambda: cast(List[{inner_type_string}], []))" def test_get_type_imports(self, mocker): from openapi_python_client.openapi_parser.properties import ListProperty inner_property = mocker.MagicMock() inner_import = mocker.MagicMock() inner_property.get_imports.return_value = {inner_import} prefix = mocker.MagicMock() p = ListProperty(name="test", required=True, default=None, inner_property=inner_property) assert p.get_imports(prefix=prefix) == { inner_import, "from typing import List", } p.required = False assert p.get_imports(prefix=prefix) == { inner_import, "from typing import List", "from typing import Optional", } p.default = mocker.MagicMock() assert p.get_imports(prefix=prefix) == { inner_import, "from typing import Optional", "from typing import List", "from typing import cast", "from dataclasses import field", } class TestUnionProperty: def test_get_type_string(self, mocker): from openapi_python_client.openapi_parser.properties import UnionProperty inner_property_1 = mocker.MagicMock() inner_property_1.get_type_string.return_value = "inner_type_string_1" inner_property_2 = mocker.MagicMock() inner_property_2.get_type_string.return_value = "inner_type_string_2" p = UnionProperty( name="test", required=True, default=None, inner_properties=[inner_property_1, inner_property_2] ) assert p.get_type_string() == f"Union[inner_type_string_1, inner_type_string_2]" p.required = False assert p.get_type_string() == f"Optional[Union[inner_type_string_1, inner_type_string_2]]" def test_get_type_imports(self, mocker): from openapi_python_client.openapi_parser.properties import UnionProperty inner_property_1 = mocker.MagicMock() inner_import_1 = mocker.MagicMock() inner_property_1.get_imports.return_value = {inner_import_1} inner_property_2 = mocker.MagicMock() inner_import_2 = mocker.MagicMock() inner_property_2.get_imports.return_value = {inner_import_2} prefix = mocker.MagicMock() p = UnionProperty( name="test", required=True, default=None, inner_properties=[inner_property_1, inner_property_2] ) assert p.get_imports(prefix=prefix) == { inner_import_1, inner_import_2, "from typing import Union", } p.required = False assert p.get_imports(prefix=prefix) == { inner_import_1, inner_import_2, "from typing import Union", "from typing import Optional", } class TestEnumProperty: def test___post_init__(self, mocker): name = mocker.MagicMock() snake_case = mocker.patch(f"openapi_python_client.utils.snake_case") fake_reference = mocker.MagicMock(class_name="MyTestEnum") deduped_reference = mocker.MagicMock(class_name="Deduped") from_ref = mocker.patch(f"{MODULE_NAME}.Reference.from_ref", side_effect=[fake_reference, deduped_reference]) from openapi_python_client.openapi_parser import properties fake_dup_enum = mocker.MagicMock() properties._existing_enums = {"MyTestEnum": fake_dup_enum} values = {"FIRST": "first", "SECOND": "second"} enum_property = properties.EnumProperty( name=name, required=True, default="second", values=values, title="a_title", ) assert enum_property.default == "Deduped.SECOND" assert enum_property.python_name == snake_case(name) from_ref.assert_has_calls( [mocker.call("a_title"), mocker.call("MyTestEnum1"),] ) assert enum_property.reference == deduped_reference assert properties._existing_enums == {"MyTestEnum": fake_dup_enum, "Deduped": enum_property} # What if an Enum exists with the same name, but has the same values? Don't dedupe that. fake_dup_enum.values = values from_ref.reset_mock() from_ref.side_effect = [fake_reference] enum_property = properties.EnumProperty( name=name, required=True, default="second", values=values, title="a_title", ) assert enum_property.default == "MyTestEnum.SECOND" assert enum_property.python_name == snake_case(name) from_ref.assert_called_once_with("a_title") assert enum_property.reference == fake_reference assert len(properties._existing_enums) == 2 properties._existing_enums = {} def test_get_type_string(self, mocker): fake_reference = mocker.MagicMock(class_name="MyTestEnum") mocker.patch(f"{MODULE_NAME}.Reference.from_ref", return_value=fake_reference) from openapi_python_client.openapi_parser import properties enum_property = properties.EnumProperty(name="test", required=True, default=None, values={}, title="a_title") assert enum_property.get_type_string() == "MyTestEnum" enum_property.required = False assert enum_property.get_type_string() == "Optional[MyTestEnum]" properties._existing_enums = {} def test_get_imports(self, mocker): fake_reference = mocker.MagicMock(class_name="MyTestEnum", module_name="my_test_enum") mocker.patch(f"{MODULE_NAME}.Reference.from_ref", return_value=fake_reference) prefix = mocker.MagicMock() from openapi_python_client.openapi_parser import properties enum_property = properties.EnumProperty(name="test", required=True, default=None, values={}, title="a_title") assert enum_property.get_imports(prefix=prefix) == { f"from {prefix}.{fake_reference.module_name} import {fake_reference.class_name}" } enum_property.required = False assert enum_property.get_imports(prefix=prefix) == { f"from {prefix}.{fake_reference.module_name} import {fake_reference.class_name}", "from typing import Optional", } properties._existing_enums = {} def test_values_from_list(self): from openapi_python_client.openapi_parser.properties import EnumProperty data = ["abc", "123", "a23", "1bc"] result = EnumProperty.values_from_list(data) assert result == { "ABC": "abc", "VALUE_1": "123", "A23": "a23", "VALUE_3": "1bc", } def test_get_all_enums(self, mocker): from openapi_python_client.openapi_parser import properties properties._existing_enums = mocker.MagicMock() assert properties.EnumProperty.get_all_enums() == properties._existing_enums properties._existing_enums = {} class TestRefProperty: def test_get_type_string(self, mocker): from openapi_python_client.openapi_parser.properties import RefProperty ref_property = RefProperty( name="test", required=True, default=None, reference=mocker.MagicMock(class_name="MyRefClass") ) assert ref_property.get_type_string() == "MyRefClass" ref_property.required = False assert ref_property.get_type_string() == "Optional[MyRefClass]" def test_get_imports(self, mocker): fake_reference = mocker.MagicMock(class_name="MyRefClass", module_name="my_test_enum") prefix = mocker.MagicMock() from openapi_python_client.openapi_parser.properties import RefProperty p = RefProperty(name="test", required=True, default=None, reference=fake_reference) assert p.get_imports(prefix=prefix) == { f"from {prefix}.{fake_reference.module_name} import {fake_reference.class_name}", "from typing import Dict", "from typing import cast", } p.required = False assert p.get_imports(prefix=prefix) == { f"from {prefix}.{fake_reference.module_name} import {fake_reference.class_name}", "from typing import Dict", "from typing import cast", "from typing import Optional", } class TestDictProperty: def test___post_init__(self): from openapi_python_client.openapi_parser.properties import DictProperty p = DictProperty(name="blah", required=True, default={}) assert p.default == "field(default_factory=lambda: cast(Dict[Any, Any], {}))" def test_get_imports(self, mocker): from openapi_python_client.openapi_parser.properties import DictProperty name = mocker.MagicMock() mocker.patch(f"openapi_python_client.utils.snake_case") prefix = mocker.MagicMock() p = DictProperty(name=name, required=True, default=None) assert p.get_imports(prefix=prefix) == { "from typing import Dict", } p.required = False assert p.get_imports(prefix=prefix) == { "from typing import Optional", "from typing import Dict", } p.default = mocker.MagicMock() assert p.get_imports(prefix=prefix) == { "from typing import Optional", "from typing import Dict", "from typing import cast", "from dataclasses import field", } class TestPropertyFromDict: def test_property_from_dict_enum(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "enum": mocker.MagicMock(), } EnumProperty = mocker.patch(f"{MODULE_NAME}.EnumProperty") from openapi_python_client.openapi_parser.properties import property_from_dict p = property_from_dict(name=name, required=required, data=data) EnumProperty.values_from_list.assert_called_once_with(data["enum"]) EnumProperty.assert_called_once_with( name=name, required=required, values=EnumProperty.values_from_list(), default=None, title=name ) assert p == EnumProperty() EnumProperty.reset_mock() title = mocker.MagicMock() data["default"] = mocker.MagicMock() data["title"] = title property_from_dict( name=name, required=required, data=data, ) EnumProperty.assert_called_once_with( name=name, required=required, values=EnumProperty.values_from_list(), default=data["default"], title=title ) def test_property_from_dict_ref(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "$ref": mocker.MagicMock(), } from_ref = mocker.patch(f"{MODULE_NAME}.Reference.from_ref") RefProperty = mocker.patch(f"{MODULE_NAME}.RefProperty") from openapi_python_client.openapi_parser.properties import property_from_dict p = property_from_dict(name=name, required=required, data=data) from_ref.assert_called_once_with(data["$ref"]) RefProperty.assert_called_once_with(name=name, required=required, reference=from_ref(), default=None) assert p == RefProperty() def test_property_from_dict_string(self, mocker): _string_based_property = mocker.patch(f"{MODULE_NAME}._string_based_property") name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "string", } from openapi_python_client.openapi_parser.properties import property_from_dict p = property_from_dict(name=name, required=required, data=data) assert p == _string_based_property.return_value _string_based_property.assert_called_once_with(name=name, required=required, data=data) @pytest.mark.parametrize( "openapi_type,python_type", [ ("number", "FloatProperty"), ("integer", "IntProperty"), ("boolean", "BooleanProperty"), ("object", "DictProperty"), ], ) def test_property_from_dict_simple_types(self, mocker, openapi_type, python_type): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": openapi_type, } clazz = mocker.patch(f"{MODULE_NAME}.{python_type}") from openapi_python_client.openapi_parser.properties import property_from_dict p = property_from_dict(name=name, required=required, data=data) clazz.assert_called_once_with(name=name, required=required, default=None) assert p == clazz() # Test optional values clazz.reset_mock() data["default"] = mocker.MagicMock() property_from_dict( name=name, required=required, data=data, ) clazz.assert_called_once_with(name=name, required=required, default=data["default"]) def test_property_from_dict_array(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "array", "items": {"type": "number", "default": "0.0"}, } ListProperty = mocker.patch(f"{MODULE_NAME}.ListProperty") FloatProperty = mocker.patch(f"{MODULE_NAME}.FloatProperty") from openapi_python_client.openapi_parser.properties import property_from_dict p = property_from_dict(name=name, required=required, data=data) FloatProperty.assert_called_once_with(name=f"{name}_item", required=True, default="0.0") ListProperty.assert_called_once_with( name=name, required=required, default=None, inner_property=FloatProperty.return_value ) assert p == ListProperty.return_value def test_property_from_dict_union(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "anyOf": [{"type": "number", "default": "0.0"}, {"type": "integer", "default": "0"},], } UnionProperty = mocker.patch(f"{MODULE_NAME}.UnionProperty") FloatProperty = mocker.patch(f"{MODULE_NAME}.FloatProperty") IntProperty = mocker.patch(f"{MODULE_NAME}.IntProperty") from openapi_python_client.openapi_parser.properties import property_from_dict p = property_from_dict(name=name, required=required, data=data) FloatProperty.assert_called_once_with(name=name, required=required, default="0.0") IntProperty.assert_called_once_with(name=name, required=required, default="0") UnionProperty.assert_called_once_with( name=name, required=required, default=None, inner_properties=[FloatProperty.return_value, IntProperty.return_value], ) assert p == UnionProperty.return_value def test_property_from_dict_unsupported_type(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": mocker.MagicMock(), } from openapi_python_client.openapi_parser.errors import ParseError from openapi_python_client.openapi_parser.properties import property_from_dict with pytest.raises(ParseError): property_from_dict(name=name, required=required, data=data) def test_property_from_dict_no_valid_props_in_data(self): from openapi_python_client.openapi_parser.errors import ParseError from openapi_python_client.openapi_parser.properties import property_from_dict with pytest.raises(ParseError): property_from_dict(name="blah", required=True, data={}) class TestStringBasedProperty: def test__string_based_property_no_format(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "string", } StringProperty = mocker.patch(f"{MODULE_NAME}.StringProperty") from openapi_python_client.openapi_parser.properties import _string_based_property p = _string_based_property(name=name, required=required, data=data) StringProperty.assert_called_once_with(name=name, required=required, pattern=None, default=None) assert p == StringProperty.return_value # Test optional values StringProperty.reset_mock() data["default"] = mocker.MagicMock() data["pattern"] = mocker.MagicMock() _string_based_property( name=name, required=required, data=data, ) StringProperty.assert_called_once_with( name=name, required=required, pattern=data["pattern"], default=data["default"] ) def test__string_based_property_datetime_format(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "string", "format": "date-time", } DateTimeProperty = mocker.patch(f"{MODULE_NAME}.DateTimeProperty") from openapi_python_client.openapi_parser.properties import _string_based_property p = _string_based_property(name=name, required=required, data=data) DateTimeProperty.assert_called_once_with(name=name, required=required, default=None) assert p == DateTimeProperty.return_value # Test optional values DateTimeProperty.reset_mock() data["default"] = mocker.MagicMock() _string_based_property( name=name, required=required, data=data, ) DateTimeProperty.assert_called_once_with(name=name, required=required, default=data["default"]) def test__string_based_property_date_format(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "string", "format": "date", } DateProperty = mocker.patch(f"{MODULE_NAME}.DateProperty") from openapi_python_client.openapi_parser.properties import _string_based_property p = _string_based_property(name=name, required=required, data=data) DateProperty.assert_called_once_with(name=name, required=required, default=None) assert p == DateProperty.return_value # Test optional values DateProperty.reset_mock() data["default"] = mocker.MagicMock() _string_based_property( name=name, required=required, data=data, ) DateProperty.assert_called_once_with(name=name, required=required, default=data["default"]) def test__string_based_property_binary_format(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "string", "format": "binary", } FileProperty = mocker.patch(f"{MODULE_NAME}.FileProperty") from openapi_python_client.openapi_parser.properties import _string_based_property p = _string_based_property(name=name, required=required, data=data) FileProperty.assert_called_once_with(name=name, required=required, default=None) assert p == FileProperty.return_value # Test optional values FileProperty.reset_mock() data["default"] = mocker.MagicMock() _string_based_property( name=name, required=required, data=data, ) FileProperty.assert_called_once_with(name=name, required=required, default=data["default"]) def test__string_based_property_unsupported_format(self, mocker): name = mocker.MagicMock() required = mocker.MagicMock() data = { "type": "string", "format": mocker.MagicMock(), } StringProperty = mocker.patch(f"{MODULE_NAME}.StringProperty") from openapi_python_client.openapi_parser.properties import _string_based_property p = _string_based_property(name=name, required=required, data=data) StringProperty.assert_called_once_with(name=name, required=required, pattern=None, default=None) assert p == StringProperty.return_value # Test optional values StringProperty.reset_mock() data["default"] = mocker.MagicMock() data["pattern"] = mocker.MagicMock() _string_based_property( name=name, required=required, data=data, ) StringProperty.assert_called_once_with( name=name, required=required, pattern=data["pattern"], default=data["default"] )

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25,284

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null

0

5

9d37e03b12fb70db62404be727e0b64da594f4aa

153

py

Python

python/8kyu/even_or_odd.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

3

2021-06-08T01:57:13.000Z

2021-06-26T10:52:47.000Z

python/8kyu/even_or_odd.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

null

python/8kyu/even_or_odd.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

2

2021-06-10T21:20:13.000Z

2021-06-30T10:13:26.000Z

"""Kata url: https://www.codewars.com/kata/53da3dbb4a5168369a0000fe.""" def even_or_odd(number: int) -> str: return 'Odd' if number % 2 else 'Even'

30.6

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22

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null

0

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1

0

5

9d54697caa66128a4ef6505ead9e709c280aeca0

95

py

Python

src/grittk/loader.py

btongminh/grittk

149ac3ede87d2422d781d314fd3390ee8e2ce052

[ "MIT" ]

null

src/grittk/loader.py

btongminh/grittk

149ac3ede87d2422d781d314fd3390ee8e2ce052

[ "MIT" ]

null

src/grittk/loader.py

btongminh/grittk

149ac3ede87d2422d781d314fd3390ee8e2ce052

[ "MIT" ]

null

try: from yaml import safe_load as load except ImportError: from json import load

15.833333

38

0.705263

14

95

4.714286

0.714286

0

0.273684

95

5

39

19

0.956522

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9d5cbb63158e07beb468f2637bdf471532269d71

41

py

Python

sutil/__init__.py

damoyskeene/sutil

6c33a4766c27f3674927fd4b07e410da5667a706

[ "MIT" ]

null

sutil/__init__.py

damoyskeene/sutil

6c33a4766c27f3674927fd4b07e410da5667a706

[ "MIT" ]

null

sutil/__init__.py

damoyskeene/sutil

6c33a4766c27f3674927fd4b07e410da5667a706

[ "MIT" ]

null

from quikl import * from sman import *

13.666667

20

0.707317

6

41

4.833333

0.666667

0

0.243902

41

2

21

20.5

0.935484

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c22c0c58d8f2039e865c7d687b45299997ea9f88

121

py

Python

src/code/__init__.py

TerboucheHacene/StyleGAN-pytorch-lightining

cd32dea331b8268c717657c0fa747eced8f0ac3f

[ "MIT" ]

null

src/code/__init__.py

TerboucheHacene/StyleGAN-pytorch-lightining

cd32dea331b8268c717657c0fa747eced8f0ac3f

[ "MIT" ]

null

src/code/__init__.py

TerboucheHacene/StyleGAN-pytorch-lightining

cd32dea331b8268c717657c0fa747eced8f0ac3f

[ "MIT" ]

null

from .models import Discriminator, Generator from .custom_callbacks import UpdateBatchSizeDataLoader, UpdateMixingDepth

30.25

74

0.876033

11

121

9.545455

0.818182

0

0.090909

121

3

75

40.333333

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dffe722100e609173a13a101b29352e03bd68268

147

py

Python

__init__.py

francisA88/GraML

f9d60065ddddf9ad14e146417e6643348ccfb8ba

[ "MIT" ]

3

2020-02-29T16:58:03.000Z

2020-06-18T17:23:35.000Z

__init__.py

francisA88/GraML

f9d60065ddddf9ad14e146417e6643348ccfb8ba

[ "MIT" ]

null

__init__.py

francisA88/GraML

f9d60065ddddf9ad14e146417e6643348ccfb8ba

[ "MIT" ]

1

2021-05-25T03:54:08.000Z

'''Make sure Kivy is installed before usage''' try: import kivy except ImportError: raise ImportError("Kivy is needed to use GraML") exit()

29.4

52

0.721088

21

147

5.047619

0.809524

0.113208

0

0.183673

147

5

53

29.4

0.883333

0.272109

0

0.264706

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5f07354c5ff967792c7b46898ff3f97a7e799e52

54

py

Python

pytorch_extra_mhirano/__init__.py

masanorihirano/pytorch_extra_mhirano

d19e07445567c069793b7ca1a22a846d7cbce58d

[ "MIT" ]

1

2022-02-26T10:37:56.000Z

pytorch_extra_mhirano/__init__.py

masanorihirano/pytorch_extra_mhirano

d19e07445567c069793b7ca1a22a846d7cbce58d

[ "MIT" ]

9

2022-02-25T06:46:26.000Z

2022-03-04T17:23:09.000Z

pytorch_extra_mhirano/__init__.py

masanorihirano/pytorch_extra_mhirano

d19e07445567c069793b7ca1a22a846d7cbce58d

[ "MIT" ]

null

from pytorch_extra_mhirano.version import __version__

27

53

0.907407

7

54

6.142857

0.857143

0

0.074074

54

1

54

0.86

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5f1df9afae41a779b48ef3abc3805102e048fff3

40

py

Python

testsuite/invalid.py

adamchainz/flake8-coding

535c20ce0fccd62fc8fae628718749953675286c

[ "Apache-2.0" ]

15

2015-05-29T08:01:23.000Z

2021-10-13T08:48:18.000Z

testsuite/invalid.py

adamchainz/flake8-coding

535c20ce0fccd62fc8fae628718749953675286c

[ "Apache-2.0" ]

18

2015-05-29T13:46:20.000Z

2019-06-16T13:10:25.000Z

testsuite/invalid.py

adamchainz/flake8-coding

535c20ce0fccd62fc8fae628718749953675286c

[ "Apache-2.0" ]

11

2015-05-29T08:01:27.000Z

2021-04-06T15:10:19.000Z

#!/usr/bin/python # -*- coding: utf -*-

13.333333

21

0.525

5

40

4.2

1

0

0.15

40

2

22

20

0.617647

0.9

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

5f2d605c16abf2a7b676f69dcc100edb6a2ecbfd

43

py

Python

main.py

acodeninja/packaging-a-python-file

632d904c7a8924d71ed8d57e3348d1475589d87c

[ "MIT" ]

null

main.py

acodeninja/packaging-a-python-file

632d904c7a8924d71ed8d57e3348d1475589d87c

[ "MIT" ]

null

main.py

acodeninja/packaging-a-python-file

632d904c7a8924d71ed8d57e3348d1475589d87c

[ "MIT" ]

null

from game import pacman pacman.run_game()

10.75

23

0.790698

7

43

4.714286

0.714286

0

0.139535

43

3

24

14.333333

0.891892

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a028e3b17bc871101e41ca73698dda6b748a745a

94

py

Python

reverse_dict/utils.py

raul23/python_reverse_dict

17fdadc13f2a75f99b8be5bcf36e60227ee89c65

[ "MIT" ]

2

2018-09-10T05:37:34.000Z

2019-07-10T14:19:10.000Z

reverse_dict/utils.py

raul23/python_reverse_dict

17fdadc13f2a75f99b8be5bcf36e60227ee89c65

[ "MIT" ]

null

reverse_dict/utils.py

raul23/python_reverse_dict

17fdadc13f2a75f99b8be5bcf36e60227ee89c65

[ "MIT" ]

1

2020-03-22T12:33:42.000Z

def get_args_from_namespace(namespace): return str(namespace).split('Namespace(')[1][:-1]

31.333333

53

0.734043

13

94

5.076923

0.692308

0

0.023256

0.085106

94

2

54

47

0.744186

0

0.106383

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a05d9e0cdb87e68577fc6c7f41c64ee4f1ff1b9f

60

py

Python

models/__init__.py

phrb/haq-autotuning-experiments

4c993abe166865685841d2ad22b3f4400d929f02

[ "Apache-2.0" ]

1

2020-07-02T16:16:51.000Z

models/__init__.py

pawopawo/haq-release

a7aacd021180b93098f1ffde44f296025a8f29d2

[ "Apache-2.0" ]

null

models/__init__.py

pawopawo/haq-release

a7aacd021180b93098f1ffde44f296025a8f29d2

[ "Apache-2.0" ]

null

# import customized models here from .mobilenetv3 import *

15

31

0.783333

7

60

6.714286

0.857143

0

0.02

0.166667

60

3

32

20

0.92

0.483333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a066e4838f7e9e4bf463479532455982f2a9a319

21

py

Python

FitLib/__init__.py

skelton-group/FitLib

84481cbcdae2bf0575e162717866b4035187d57a

[ "MIT" ]

null

FitLib/__init__.py

skelton-group/FitLib

84481cbcdae2bf0575e162717866b4035187d57a

[ "MIT" ]

null

FitLib/__init__.py

skelton-group/FitLib

84481cbcdae2bf0575e162717866b4035187d57a

[ "MIT" ]

null

# FitLib/__init__.py

10.5

20

0.761905

3

21

4

1

0

0.095238

21

1

21

0.631579

0.857143

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

a0b30f354928a5f798243a178e0ae4fee2edade9

123

py

Python

redjit/core/admin.py

victormelo/redjit

64f7bb2e52c9d8245287adaacfc7e9ebcc463eec

[ "MIT" ]

null

redjit/core/admin.py

victormelo/redjit

64f7bb2e52c9d8245287adaacfc7e9ebcc463eec

[ "MIT" ]

null

redjit/core/admin.py

victormelo/redjit

64f7bb2e52c9d8245287adaacfc7e9ebcc463eec

[ "MIT" ]

null

from django.contrib import admin from .models import Link, Comment admin.site.register(Link) admin.site.register(Comment)

20.5

33

0.813008

18

123

5.555556

0.555556

0.18

0.34

0

0.097561

123

5

34

24.6

0.900901

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

267e1a0652f21300d0c8888e738f2a3acd2e8a90

574

py

Python

project/Tests/test_news_data_handling.py

Jessie-McColm/Covid-Data-Dashboard

eda55a266d05a645c832b0cb792e17f34394220a

[ "MIT" ]

null

project/Tests/test_news_data_handling.py

Jessie-McColm/Covid-Data-Dashboard

eda55a266d05a645c832b0cb792e17f34394220a

[ "MIT" ]

null

project/Tests/test_news_data_handling.py

Jessie-McColm/Covid-Data-Dashboard

eda55a266d05a645c832b0cb792e17f34394220a

[ "MIT" ]

null

from covid_news_handling import news_API_request from covid_news_handling import update_news from covid_news_handling import remove_news_article from covid_news_handling import repeat_scheduled_news_update def test_news_API_request(): assert news_API_request() assert news_API_request('Covid COVID-19 coronavirus') == news_API_request() def test_update_news(): update_news('test') def test_remove_news_article(): remove_news_article("test title 123") def test_repeat_scheduled_news_update(): repeat_scheduled_news_update(10,"test title",update_news)

31.888889

79

0.827526

85

574

5.105882

0.235294

0.080645

0.16129

0.193548

0.373272

0.124424

0

0.013672

0.108014

574

17

80

33.764706

0.833984

0

0.094077

0

0.153846

1

0.307692

true

0

0.307692

0

0.615385

0

null

0

1

0

null

0

1

0

1

0

1

0

5

13ffe7d44c21eaa793afb670db85d7af55756211

171

py

Python

src/cr/vision/io/__init__.py

indigits/indigits-vision

317fbf70c558e8f9563c3d0ba3bebbc5f84af622

[ "Apache-2.0" ]

2

2021-11-02T10:09:47.000Z

2021-12-10T04:23:14.000Z

src/cr/vision/io/__init__.py

indigits/indigits-vision

317fbf70c558e8f9563c3d0ba3bebbc5f84af622

[ "Apache-2.0" ]

null

src/cr/vision/io/__init__.py

indigits/indigits-vision

317fbf70c558e8f9563c3d0ba3bebbc5f84af622

[ "Apache-2.0" ]

null

''' IO package ''' # pylint: disable=W0401 from .interfaces import * from .videocapture import * from .display import * from .videowriter import * from .images import *

17.1

28

0.719298

20

171

6.15

0.6

0.325203

0

0.028169

0.169591

171

9

29

19

0.838028

0.192982

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

cd06f5ea13ff5e37b5a89609663a5e49b767321f

109

py

Python

minidump/streams/ProcessVmCountersStream.py

mrexodia/minidump

4945b1011ac202c58003b0198820bc8521eb5af5

[ "MIT" ]

215

2021-11-20T22:39:33.000Z

2022-03-26T01:33:36.000Z

minidump/streams/ProcessVmCountersStream.py

mrexodia/minidump

4945b1011ac202c58003b0198820bc8521eb5af5

[ "MIT" ]

24

2019-04-15T17:50:15.000Z

2022-03-30T11:50:26.000Z

minidump/streams/ProcessVmCountersStream.py

mrexodia/minidump

4945b1011ac202c58003b0198820bc8521eb5af5

[ "MIT" ]

36

2018-05-26T21:10:52.000Z

2021-11-20T14:26:58.000Z

#!/usr/bin/env python3 # # Author: # Tamas Jos (@skelsec) # # TODO: MSD article is missing on this stream :(

18.166667

48

0.66055

16

109

4.5

1

0

0.011236

0.183486

109

6

48

18.166667

0.797753

0.899083

0

null

0

null

0

null

0

0.166667

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

cd0fd5b6e30a1b3be20ee0c1ac1771e10de2241b

110

py

Python

tfne/visualizer/codeepneat/__init__.py

githealthy18/Tensorflow-Neuroevolution

15f6e906e8000c64f5c9a60907f53fe835f0b28c

[ "Apache-2.0" ]

121

2019-06-27T17:30:52.000Z

2022-03-24T07:32:42.000Z

tfne/visualizer/codeepneat/__init__.py

githealthy18/Tensorflow-Neuroevolution

15f6e906e8000c64f5c9a60907f53fe835f0b28c

[ "Apache-2.0" ]

10

2021-01-03T19:52:13.000Z

2022-02-10T00:15:26.000Z

tfne/visualizer/codeepneat/__init__.py

githealthy18/Tensorflow-Neuroevolution

15f6e906e8000c64f5c9a60907f53fe835f0b28c

[ "Apache-2.0" ]

31

2019-07-31T10:45:53.000Z

2022-03-21T08:31:09.000Z

# Import modules from tfne.visualizer.codeepneat.tfnev_codeepneat_mainwindow import TFNEVCoDeepNEATMainWindow

36.666667

92

0.9

11

110

8.818182

0.818182

0

0.063636

110

2

93

55

0.941748

0.127273

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cd3b361f59b0cd483196a2ee45263f8862a8222a

197

py

Python

invoice/admin.py

surajraju20/fuzzy1

596d39facc657fca49e6630b8149ce3662534a9a

[ "MIT" ]

null

invoice/admin.py

surajraju20/fuzzy1

596d39facc657fca49e6630b8149ce3662534a9a

[ "MIT" ]

null

invoice/admin.py

surajraju20/fuzzy1

596d39facc657fca49e6630b8149ce3662534a9a

[ "MIT" ]

null

from django.contrib import admin from .models import College, Trainer, hr_users # Register your models here. admin.site.register(College) admin.site.register(Trainer) admin.site.register(hr_users)

28.142857

46

0.817259

29

197

5.482759

0.482759

0.169811

0.320755

0

0.091371

197

7

47

28.142857

0.888268

0.13198

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

cd711f6abcf35525b90de78221f9f6ac2748d074

358

py

Python

freedm/data/__init__.py

DerekRoy/free.dm-Common

83ba7521e0df1c10076c1ffe4427ef22ac23f5f0

[ "MIT" ]

1

2017-05-23T21:36:31.000Z

freedm/data/__init__.py

DerekRoy/free.dm-Common

83ba7521e0df1c10076c1ffe4427ef22ac23f5f0

[ "MIT" ]

13

2017-11-04T15:54:39.000Z

2019-02-11T12:01:29.000Z

freedm/data/__init__.py

wandth/free.dm-Common

c3b7353e9211f0c99c4b761ef891f0cb53a7d18b

[ "MIT" ]

null

''' This module provides classes related to data management @author: Thomas Wanderer ''' # free.dm Imports from freedm.data.manager import DataManager from freedm.data.store import DataStore from freedm.data.object import DataObject from freedm.data.inifile import IniFileStore from freedm.data.memory import MemoryStore from freedm.data.sql import SQLStore

29.833333

55

0.826816

50

358

5.92

0.58

0.202703

0.283784

0

0.111732

358

12

56

29.833333

0.930818

0.27095

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

269bfde945026d8acc4be13384b39d20a659ecc7

196

py

Python

pytask/models.py

thomsbe/PyTask

cc16ce4904fdec79c9ae6f065e9919b3e36f2577

[ "Apache-2.0" ]

null

pytask/models.py

thomsbe/PyTask

cc16ce4904fdec79c9ae6f065e9919b3e36f2577

[ "Apache-2.0" ]

null

pytask/models.py

thomsbe/PyTask

cc16ce4904fdec79c9ae6f065e9919b3e36f2577

[ "Apache-2.0" ]

null

from django.db import models class ToDoModel(models.Model): name = models.CharField(max_length=50) description = models.CharField(max_length=200) duedate = models.DateTimeField()

32.666667

51

0.739796

24

196

5.958333

0.708333

0.20979

0.251748

0.335664

0

0.030488

0.163265

196

6

52

32.666667

0.841463

0

1

0

false

0

0.2

0

1

0

1

0

null

1

0

1

0

null

0

5

26cb8dab58e1dca74c547f8688562dca7eced4c1

78

py

Python

klearn/datasets/__init__.py

KevinLiao159/klearn

ffc0cb6b69cd21f2aac8934af55ac6e32c4db689

[ "MIT" ]

1

2019-05-03T08:20:57.000Z

klearn/datasets/__init__.py

KevinLiao159/klearn

ffc0cb6b69cd21f2aac8934af55ac6e32c4db689

[ "MIT" ]

null

klearn/datasets/__init__.py

KevinLiao159/klearn

ffc0cb6b69cd21f2aac8934af55ac6e32c4db689

[ "MIT" ]

null

from .libffm_format import dump_libffm_file __all__ = ('dump_libffm_file',)

15.6

43

0.794872

11

78

4.818182

0.636364

0.377358

0.528302

0

0.115385

78

4

44

19.5

0.768116

0

0.205128

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

26f7b663837c891651e19d536e54ed5c4e12affa

234

py

Python

src/tolkein/__init__.py

tolkit/tolkein

66aef26f1e57259378f99b3846944c39fdb2cd14

[ "MIT" ]

2

2020-07-09T16:23:05.000Z

2021-02-26T10:17:15.000Z

src/tolkein/__init__.py

tolkit/tolkein

66aef26f1e57259378f99b3846944c39fdb2cd14

[ "MIT" ]

6

2020-08-03T13:13:50.000Z

2021-02-22T15:15:10.000Z

src/tolkein/__init__.py

tolkit/tolkein

66aef26f1e57259378f99b3846944c39fdb2cd14

[ "MIT" ]

null

"""Evolutionary informatics package.""" from .lib import tobin from .lib import tofetch from .lib import tofile from .lib import toinsdc from .lib import tolog from .lib import totax from .lib import version from .tolkein import cli

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py

Python

PicoCTF/2018/Reversing/be-quick-or-be-dead-2_complete/solve.py

bernardosequeir/CTFfiles

36a6ceba49d9a9019056d3669c5e8f84aa83b618

[ "MIT" ]

null

PicoCTF/2018/Reversing/be-quick-or-be-dead-2_complete/solve.py

bernardosequeir/CTFfiles

36a6ceba49d9a9019056d3669c5e8f84aa83b618

[ "MIT" ]

5

2020-09-23T18:28:25.000Z

2020-09-23T18:28:41.000Z

PicoCTF/2018/Reversing/be-quick-or-be-dead-2_complete/solve.py

bernardosequeir/CTFSolutions

503944617cb18826d12ab98fa33fd761e791328a

[ "MIT" ]

null

from pwn import * elf = ELF('./be-quick-or-be-dead-2') number=9641162182178966878126331027202834784434723577592322830700454745652427494401346945631082965963962317692358822696127040961581675695438118874508418491101822679355067810556808551572644321954159676320600161466564032755133080685122 elf.asm(elf.symbols['alarm'],'ret') elf.asm(elf.symbols['calculate_key'], 'mov eax,%s\nret\n' % (hex(number & 0xFFFFFFFF))) elf.save("./patched")

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py

Python

py_grpc_profile/adapter/__init__.py

fossabot/py-grpc-profile

c68540891efb06b3bb8d6beb54238bd9e03c40c8

[ "Apache-2.0" ]

null

py_grpc_profile/adapter/__init__.py

fossabot/py-grpc-profile

c68540891efb06b3bb8d6beb54238bd9e03c40c8

[ "Apache-2.0" ]

2

2021-03-23T23:49:14.000Z

2022-02-11T03:38:44.000Z

py_grpc_profile/adapter/__init__.py

fossabot/py-grpc-profile

c68540891efb06b3bb8d6beb54238bd9e03c40c8

[ "Apache-2.0" ]

1

2021-03-23T23:47:17.000Z

from py_grpc_profile.adapter.cprofile_adapter import CProfileAdapter from py_grpc_profile.adapter.interfaces import Adapter __all__ = ["Adapter", "CProfileAdapter"]

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py

Python

datashift/__init__.py

kubzdel/datashift

d87e5a882a04c8ada092d2ed0a8b56acf3da5de8

[ "MIT" ]

null

datashift/__init__.py

kubzdel/datashift

d87e5a882a04c8ada092d2ed0a8b56acf3da5de8

[ "MIT" ]

null

datashift/__init__.py

kubzdel/datashift

d87e5a882a04c8ada092d2ed0a8b56acf3da5de8

[ "MIT" ]

null

from .task import AbstractProcessingTask, AbstractBalancingTask, AbstractFilterTask, AbstractReduceTask, NotNoneFilterTask from .datapipeline import DataPipeline,AbstractFileReader,AbstractFileSaver,DefaultCSVReader,DefaultCSVSaver,DefaultTextLineReader,DefaultTextLineSaver __version__ = "0.1.0"

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5

f855de133a6464aa854d49ecc5347445fe3c9b4f

177

tac

Python

fmi-avi-xmlmodel-iwxxm30/src/main/resources/int/icao/iwxxm/3.0.0/examples/taf-A5-1.tac

spatineo/fmi-avi-xmlmodel

92a87b3d65b1e1a4ec9b7226238785de01a744db

[ "MIT" ]

null

fmi-avi-xmlmodel-iwxxm30/src/main/resources/int/icao/iwxxm/3.0.0/examples/taf-A5-1.tac

spatineo/fmi-avi-xmlmodel

92a87b3d65b1e1a4ec9b7226238785de01a744db

[ "MIT" ]

1

2019-03-12T11:26:03.000Z

2019-03-25T11:00:14.000Z

fmi-avi-xmlmodel-iwxxm30/src/main/resources/int/icao/iwxxm/3.0.0/examples/taf-A5-1.tac

spatineo/fmi-avi-xmlmodel

92a87b3d65b1e1a4ec9b7226238785de01a744db

[ "MIT" ]

1

2020-02-26T07:19:02.000Z

TAF YUDO 151800Z 1600/1618 13005MPS 9000 BKN020 BECMG 1606/1608 SCT015CB BKN020 TEMPO 1608/1612 17006G12MPS 1000 TSRA SCT010CB BKN020 FM161230 15004MPS 9999 BKN020

59

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91

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1

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1

0

null

0

1

0

5

f8661f47c1c2774db23d1d74b9e344459248fefc

106

py

Python

cogs/preferences/__init__.py

IanDesuyo/AIKyaru

0a631c77a821975db325452e244c310c05f83e09

[ "MIT" ]

11

2021-07-16T19:24:55.000Z

2022-03-18T07:29:49.000Z

cogs/preferences/__init__.py

IanDesuyo/AIKyaru

0a631c77a821975db325452e244c310c05f83e09

[ "MIT" ]

null

cogs/preferences/__init__.py

IanDesuyo/AIKyaru

0a631c77a821975db325452e244c310c05f83e09

[ "MIT" ]

2

2021-12-31T17:36:25.000Z

2022-02-13T05:30:35.000Z

from cogs.preferences.user import UserPreferences def setup(bot): bot.add_cog(UserPreferences(bot))

17.666667

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null

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1

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1

0

1

0

5

f8af1f20d34086fe5036e245a9b0cc43152bc4fc

384

py

Python

ugali/isochrone/__init__.py

mcnanna/ugali

2572915b82af5b25e8762013e6d5baabdaa24b21

[ "MIT" ]

12

2016-10-26T20:45:33.000Z

2021-11-24T04:07:43.000Z

ugali/isochrone/__init__.py

mcnanna/ugali

2572915b82af5b25e8762013e6d5baabdaa24b21

[ "MIT" ]

64

2017-04-14T15:04:24.000Z

2022-02-03T19:42:57.000Z

ugali/isochrone/__init__.py

kadrlica/ugali

dcf53594658a2b577f4da271783b43ed0a79fec9

[ "MIT" ]

12

2016-06-23T21:42:46.000Z

2021-06-19T05:29:49.000Z

#!/usr/bin/env python """ Module for dealing with Isochrones. """ from ugali.isochrone.model import get_iso_dir from ugali.isochrone.composite import factory from ugali.isochrone.composite import CompositeIsochrone, Padova, Dotter from ugali.isochrone.parsec import Bressan2012, Marigo2017 from ugali.isochrone.dartmouth import Dotter2008 from ugali.isochrone.mesa import Dotter2016

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1

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1

0

5

3e19a50512acb68c0d9b93a4bf0ccdd5b840ffd1

229

py

Python

eznlp/model/model/__init__.py

syuoni/eznlp

c0380c6c30d68b4df1769150424735c04ea9d714

[ "Apache-2.0" ]

9

2021-08-06T07:12:55.000Z

2022-03-26T08:20:59.000Z

eznlp/model/model/__init__.py

Hhx1999/eznlp

9d1397d8e9630c099295712cbcffa495353a3268

[ "Apache-2.0" ]

1

2022-03-11T13:27:29.000Z

2022-03-16T11:52:14.000Z

eznlp/model/model/__init__.py

Hhx1999/eznlp

9d1397d8e9630c099295712cbcffa495353a3268

[ "Apache-2.0" ]

3

2021-11-15T03:24:24.000Z

2022-03-09T09:36:05.000Z

# -*- coding: utf-8 -*- from .base import ModelConfigBase, ModelBase from .classifier import ClassifierConfig from .extractor import ExtractorConfig from .text2text import Text2TextConfig from .image2text import Image2TextConfig

32.714286

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null

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1

0

1

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5

e460dbc8746350b0ec779b98f6d17a5c5f555f06

211

py

Python

_/0349_06_Code/25.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

_/0349_06_Code/25.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

_/0349_06_Code/25.py

paullewallencom/javascript-978-1-8495-1034-9

7e539d042c644931a9ef2418f66d260a1c6892eb

[ "Apache-2.0" ]

null

else: match = re.match(ur'^(.*?)_(.*)_(\d+)$', html_id) model = match.group(1)[0].upper() + match.group(1)[1:].lower() field = match.group(2).lower() id = int(match.group(3))

35.166667

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0

null

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1

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5

e4da47ba9302fd99753e57a057eb79360a768e24

4,125

py

Python

python/astra/contrib/classifier/networks.py

sdss/astra

ef78c46a579ed0238a4486bcbb1595a22a7f2700

[ "BSD-3-Clause" ]

5

2019-08-15T23:05:17.000Z

2022-03-14T19:26:07.000Z

python/astra/contrib/classifier/networks.py

sdss/astra

ef78c46a579ed0238a4486bcbb1595a22a7f2700

[ "BSD-3-Clause" ]

2

2019-04-22T17:12:50.000Z

2020-10-30T05:05:26.000Z

python/astra/contrib/classifier/networks.py

sdss/astra

ef78c46a579ed0238a4486bcbb1595a22a7f2700

[ "BSD-3-Clause" ]

null

from time import time import numpy as np import torch import torch.nn.functional as F from tqdm import tqdm from torch import nn from torch.autograd import Variable class OpticalCNN(nn.Module): class_names = ["cv", "fgkm", "hotstar", "wd", "sb2", "yso"] def __init__(self, in_channels=1, nb_channels=3, nb_classes=None): super(OpticalCNN, self).__init__() self.nb_channels = nb_channels nb_classes = nb_classes or len(self.class_names) self.model = nn.Sequential( nn.Conv1d(in_channels=in_channels, out_channels=nb_channels, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels), nn.ReLU(), nn.Dropout(0.1), nn.Conv1d(in_channels=nb_channels, out_channels=nb_channels, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels), nn.ReLU(), nn.Dropout(0.1), # 1024 950 nn.Conv1d(in_channels=nb_channels, out_channels=nb_channels*2, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels*2), nn.ReLU(), nn.Dropout(0.1), #512 475 nn.Conv1d(in_channels=nb_channels*2, out_channels=nb_channels*4, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels*4), nn.ReLU(), nn.Dropout(0.1), #256 237? nn.Conv1d(in_channels=nb_channels*4, out_channels=nb_channels*8, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels*8), nn.ReLU(), nn.Dropout(0.1), #128 118? nn.Conv1d(in_channels=nb_channels*8, out_channels=nb_channels*8, kernel_size=3, stride=2, padding=0), nn.BatchNorm1d(nb_channels*8), nn.ReLU(), nn.Dropout(0.1) #64 58 ) self.fc1 = nn.Linear(nb_channels * 8 * 58, 58 * 4) self.fc2 = nn.Linear(58*4, 58) self.fc3 = nn.Linear(58, nb_classes) def forward(self,x): x = self.model(x) x = x.view(-1, 58 * 8 * self.nb_channels) x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) x = self.fc3(x) ## Activation function return x class NIRCNN(nn.Module): class_names = ["fgkm", "hotstar", "sb2", "yso"] def __init__(self, nb_channels=3, nb_classes=4): super(NIRCNN, self).__init__() self.nb_channels = nb_channels self.nb_classes = nb_classes self.model = nn.Sequential( nn.Conv1d(in_channels=nb_channels, out_channels=nb_channels, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels), nn.ReLU(), nn.Dropout(0.1), nn.Conv1d(in_channels=nb_channels, out_channels=nb_channels, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels), nn.ReLU(), nn.Dropout(0.1), # 1024 nn.Conv1d(in_channels=nb_channels, out_channels=nb_channels*2, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels*2), nn.ReLU(), nn.Dropout(0.1), #512 nn.Conv1d(in_channels=nb_channels*2, out_channels=nb_channels*4, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels*4), nn.ReLU(), nn.Dropout(0.1), #256 nn.Conv1d(in_channels=nb_channels*4, out_channels=nb_channels*8, kernel_size=3, stride=2), nn.BatchNorm1d(nb_channels*8), nn.ReLU(), nn.Dropout(0.1), #128 nn.Conv1d(in_channels=nb_channels*8, out_channels=nb_channels*8, kernel_size=3, stride=2, padding=1), nn.BatchNorm1d(nb_channels*8), nn.ReLU(), nn.Dropout(0.1) #64 ) self.fc1 = nn.Linear(nb_channels * 8 * 64, 64 * 4) self.fc2 = nn.Linear(64*4, 64) self.fc3 = nn.Linear(64, nb_classes) return None def forward(self,x): x = self.model(x) x = x.view(-1, 64 * 8 * self.nb_channels) x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) x = self.fc3(x) return x

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5

e4e05b1bab1ed52b4524ef1900bc45fc43194919

84

py

Python

gunicorn_config.py

lolosk/ceph

6b76d4b67ef70c92081bf4b1b7597f1db46cccc2

[ "BSD-2-Clause" ]

null

gunicorn_config.py

lolosk/ceph

6b76d4b67ef70c92081bf4b1b7597f1db46cccc2

[ "BSD-2-Clause" ]

null

gunicorn_config.py

lolosk/ceph

6b76d4b67ef70c92081bf4b1b7597f1db46cccc2

[ "BSD-2-Clause" ]

null

def on_starting(server): from subprocess import call call(['start-ceph'])

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1

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null

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1

0

1

0

1

0

5

5f4e2f266103bd507787cf1f34267adc864763bd

66

py

Python

skdesign/power/distributions/__init__.py

louden/scikit-design

c51259fd7de43d6bdb4bb49e71136321768c2acc

[ "BSD-3-Clause" ]

2

2016-10-31T04:22:50.000Z

2019-08-19T10:58:24.000Z

skdesign/power/distributions/__init__.py

louden/scikit-design

c51259fd7de43d6bdb4bb49e71136321768c2acc

[ "BSD-3-Clause" ]

null

skdesign/power/distributions/__init__.py

louden/scikit-design

c51259fd7de43d6bdb4bb49e71136321768c2acc

[ "BSD-3-Clause" ]

2

2018-06-06T10:58:15.000Z

2020-08-10T10:57:49.000Z

from .normal import Normal from .distribution import Distribution

22

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5

5f82bb25103e27681ca321c73908d32b129d8bb2

138

py

Python

cs28_project/cs28/models/__init__.py

desuderata/cs28_project

d8e84e2ee30f36ce964370580730396b8c211315

[ "MIT" ]

null

cs28_project/cs28/models/__init__.py

desuderata/cs28_project

d8e84e2ee30f36ce964370580730396b8c211315

[ "MIT" ]

null

cs28_project/cs28/models/__init__.py

desuderata/cs28_project

d8e84e2ee30f36ce964370580730396b8c211315

[ "MIT" ]

1

2021-04-29T15:40:57.000Z

from .student import Student from .grade import Grade from .graduation_year import GraduationYear from .academic_plan import AcademicPlan

27.6

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1

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5

5f92ccfdabb95cea2dda34d28cf0bfbac82101bc

59

py

Python

sparray/__init__.py

perimosocordiae/sparray

723cd5ff70bf148963b35813cf4ced246f268ba1

[ "MIT" ]

5

2016-01-06T01:28:03.000Z

2018-11-08T17:39:29.000Z

sparray/__init__.py

perimosocordiae/sparray

723cd5ff70bf148963b35813cf4ced246f268ba1

[ "MIT" ]

null

sparray/__init__.py

perimosocordiae/sparray

723cd5ff70bf148963b35813cf4ced246f268ba1

[ "MIT" ]

null

from .base import is_sparray from .flat import FlatSparray

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1

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1

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5

5fa407dcae17b2257614e6f298c51653e181b127

324

py

Python

website/views.py

AminFranko/mycv

4391a0cb01e4036fdd743ad52b1bd2af4695de7e

[ "MIT" ]

null

website/views.py

AminFranko/mycv

4391a0cb01e4036fdd743ad52b1bd2af4695de7e

[ "MIT" ]

null

website/views.py

AminFranko/mycv

4391a0cb01e4036fdd743ad52b1bd2af4695de7e

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse,JsonResponse def index_view(request): return render(request,'website/index.html') # def about_view(request): # return render(request,'website/about.html') # def contact_view(request): # return render(request,'website/contact.html')

20.25

51

0.753086

41

324

5.878049

0.414634

0.136929

0.211618

0.286307

0.460581

0

0.132716

324

15

52

21.6

0.857651

0.459877

0

0.107143

0

1

0.25

false

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

1

0

5

39672ba00a52eeb1c82792be3a452accf90579f8

23

py

Python

TSA/tests/__init__.py

Boyne272/Thin_Section_Analsis

91023267f96f709d62fa44d10ff5636d263e346c

[ "MIT" ]

2

2020-01-15T09:02:04.000Z

2020-01-15T09:02:30.000Z

TSA/tests/__init__.py

msc-acse/acse-9-independent-research-project-Boyne272

b6f52a189dbb1cfb53325793966e32ee39155e9e

[ "MIT" ]

null

TSA/tests/__init__.py

msc-acse/acse-9-independent-research-project-Boyne272

b6f52a189dbb1cfb53325793966e32ee39155e9e

[ "MIT" ]

3

2019-08-27T12:44:14.000Z

2020-01-15T09:02:41.000Z

# TSA/tests/__init__.py

23

0.782609

4

23

3.5

1

0

0.043478

23

1

23

0.636364

0.913043

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3975db2be16f276fa8fd4e30d264f54f33973332

50

py

Python

common/models/__init__.py

sharif-42/Style-Icon

26cd93cdd991588ce41f0032b033551f9f1a1bce

[ "MIT" ]

1

2022-01-01T11:51:30.000Z

common/models/__init__.py

sharif-42/Style-Icon

26cd93cdd991588ce41f0032b033551f9f1a1bce

[ "MIT" ]

null

common/models/__init__.py

sharif-42/Style-Icon

26cd93cdd991588ce41f0032b033551f9f1a1bce

[ "MIT" ]

null

from .base_model import LogBase, ProductBaseModel

25

49

0.86

6

50

7

1

0

0.1

50

1

50

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3998d23915c4f8c5b22e60f3e1a04e984ed8c0fa

123

py

Python

pybin/admin.py

Mm2PL/pyhastebin

b3574567b0a60307e6299af547dfc881498011a1

[ "WTFPL", "Unlicense" ]

null

pybin/admin.py

Mm2PL/pyhastebin

b3574567b0a60307e6299af547dfc881498011a1

[ "WTFPL", "Unlicense" ]

null

pybin/admin.py

Mm2PL/pyhastebin

b3574567b0a60307e6299af547dfc881498011a1

[ "WTFPL", "Unlicense" ]

null

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

15.375

32

0.796748

18

123

5.444444

0.666667

0

0.138211

123

7

33

17.571429

0.924528

0.211382

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

399f33484962525ca55422bfa25b9abeb0c5b16a

121

py

Python

run.py

lenileiro/flask_api

255c8735ad880611dc6f85200edad90507d450b8

[ "MIT" ]

1

2019-01-24T21:10:57.000Z

run.py

lenileiro/flask_api

255c8735ad880611dc6f85200edad90507d450b8

[ "MIT" ]

null

run.py

lenileiro/flask_api

255c8735ad880611dc6f85200edad90507d450b8

[ "MIT" ]

null

from app import create_app config_name = 'config' app = create_app(config_name) if __name__ == "__main__": app.run()

20.166667

29

0.727273

18

121

4.222222

0.5

0.236842

0.394737

0.5

0

0.157025

121

6

30

20.166667

0.745098

0

0.114754

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

5

39a3286e3c86986d0c767d81426bd9fc285a9a7f

215

py

Python

intraday_analytics/pivots/views.py

eminiorderflow/52analytics-backend

ec90695faeabe557f1011779f3f716c586d3aa7c

[ "MIT" ]

null

intraday_analytics/pivots/views.py

eminiorderflow/52analytics-backend

ec90695faeabe557f1011779f3f716c586d3aa7c

[ "MIT" ]

5

2020-06-05T21:52:24.000Z

2021-09-22T18:46:16.000Z

intraday_analytics/pivots/views.py

eminiorderflow/52analytics-backend

ec90695faeabe557f1011779f3f716c586d3aa7c

[ "MIT" ]

1

2020-04-23T10:41:43.000Z

from django.shortcuts import render from django.http import HttpResponse from .strategy.data.push_db import intraday_tasks, eod_tasks def index(request): return render(request, 'pivots/index.html', {})

26.875

61

0.762791

29

215

5.551724

0.689655

0.124224

0

0.148837

215

7

62

30.714286

0.879781

0

0.081731

0

1

0.2

false

0

0.6

0.2

1

0

1

0

null

0

1

0

null

0

1

0

5

39acba4bace0ebe90493b1a8285e0637391c2ab7

52

py

Python

engine/version.py

thenerdsuperuser/ideal-engine

b0c9e4e46e782aac2989bc3cde10a68559f00ce4

[ "MIT" ]

null

engine/version.py

thenerdsuperuser/ideal-engine

b0c9e4e46e782aac2989bc3cde10a68559f00ce4

[ "MIT" ]

null

engine/version.py

thenerdsuperuser/ideal-engine

b0c9e4e46e782aac2989bc3cde10a68559f00ce4

[ "MIT" ]

null

def show_version(): print("Version v0.2-alpha")

17.333333

31

0.673077

8

52

4.25

0.875

0

0.045455

0.153846

52

2

32

26

0.727273

0

0.346154

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

39c60345863f5a4ee862509b89ffcc58c80133f4

101

py

Python

hivemind/mpi/__init__.py

enj/hivemind

55567496662449cea6a9610611d3dd4c9b40bb42

[ "Apache-2.0" ]

1

2021-03-21T06:50:59.000Z

hivemind/mpi/__init__.py

enj/hivemind

55567496662449cea6a9610611d3dd4c9b40bb42

[ "Apache-2.0" ]

null

hivemind/mpi/__init__.py

enj/hivemind

55567496662449cea6a9610611d3dd4c9b40bb42

[ "Apache-2.0" ]

2

2016-05-12T20:47:18.000Z

2016-10-01T04:22:02.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from .master import Master from .worker import Worker

16.833333

26

0.683168

15

101

4.6

0.733333

0

0.011765

0.158416

101

5

27

20.2

0.8

0.415842

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8401f3b31c697e85ffa885fefce2513d5c950c02

225

py

Python

Week 1/Sail Sale.py

James5425/NCSS-Challenge-Intermediate-

6ac7b46af683eba207c257ab62030f72c37869e7

[ "MIT" ]

null

Week 1/Sail Sale.py

James5425/NCSS-Challenge-Intermediate-

6ac7b46af683eba207c257ab62030f72c37869e7

[ "MIT" ]

null

Week 1/Sail Sale.py

James5425/NCSS-Challenge-Intermediate-

6ac7b46af683eba207c257ab62030f72c37869e7

[ "MIT" ]

null

def sale_price(original, discount): return round((1 - discount/100) * original, 2) print(input("Product: ")+ " on sale for "+ "$"+str(sale_price(float(input("Original price ($): ")), float(input("Discount (%): "))))+".")

56.25

137

0.626667

28

225

4.964286

0.607143

0.129496

0.215827

0

0.025381

0.124444

225

4

137

56.25

0.680203

0

0.256637

0

1

0.333333

false

0

0.333333

0.666667

0.333333

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

8414ff619792e28ab82576acfaf682c6b3b4ed4c

43

py

Python

src/view/widgets/ui/__init__.py

gustavosaquetta/FrameworkSSQt-Vocatus

485dc401e05859f68fe198aa2106675839585a13

[ "Apache-2.0" ]

null

src/view/widgets/ui/__init__.py

gustavosaquetta/FrameworkSSQt-Vocatus

485dc401e05859f68fe198aa2106675839585a13

[ "Apache-2.0" ]

null

src/view/widgets/ui/__init__.py

gustavosaquetta/FrameworkSSQt-Vocatus

485dc401e05859f68fe198aa2106675839585a13

[ "Apache-2.0" ]

null

import os, sys sys.path.append(os.getcwd())

21.5

28

0.744186

8

43

4

0.75

0

0.069767

43

2

28

21.5

0.8

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8438a16c750ae154f9208c92a44cc806200229f6

146

py

Python

py_modules/utils.py

leangaurav/twilio

53ed3db2e8d124836ef0400247336a75f9a602d1

[ "Apache-2.0" ]

1

2021-04-17T16:10:31.000Z

py_modules/utils.py

leangaurav/twilio

53ed3db2e8d124836ef0400247336a75f9a602d1

[ "Apache-2.0" ]

null

py_modules/utils.py

leangaurav/twilio

53ed3db2e8d124836ef0400247336a75f9a602d1

[ "Apache-2.0" ]

null

import logging import sys def get_logger(): logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) return logging.getLogger()

20.857143

64

0.732877

18

146

5.888889

0.722222

0

0.171233

146

6

65

24.333333

0.876033

0

1

0.2

true

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

844a1480e2c2db20df2dc1590ef1c366ba571cc4

49

py

Python

tps/__init__.py

ebartrum/tps-deformation

b9d879d015a78b3b6fe5a0da0aae71d0e53f56a2

[ "BSD-3-Clause" ]

19

2019-06-03T01:46:35.000Z

2022-03-30T07:59:53.000Z

tps/__init__.py

ebartrum/tps-deformation

b9d879d015a78b3b6fe5a0da0aae71d0e53f56a2

[ "BSD-3-Clause" ]

1

2019-03-04T11:09:58.000Z

2019-03-08T13:01:53.000Z

tps/__init__.py

ebartrum/tps-deformation

b9d879d015a78b3b6fe5a0da0aae71d0e53f56a2

[ "BSD-3-Clause" ]

8

2019-09-03T07:44:25.000Z

2022-01-05T15:41:32.000Z

from .functions import * from .instance import *

16.333333

24

0.755102

6

49

6.166667

0.666667

0

0.163265

49

2

25

24.5

0.902439

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

845590508c8e61ec1e9ada98971af6e016b21ab1

671

py

Python

command_line.py

azeznassar/JavaScriptToUML

53cccc1bba635114f03d966fd2f0f2f2d2d74bae

[ "MIT" ]

5

2020-08-16T09:25:42.000Z

2022-01-19T21:00:48.000Z

command_line.py

azeznassar/JavaScriptToUML

53cccc1bba635114f03d966fd2f0f2f2d2d74bae

[ "MIT" ]

null

command_line.py

azeznassar/JavaScriptToUML

53cccc1bba635114f03d966fd2f0f2f2d2d74bae

[ "MIT" ]

4

2020-08-19T09:05:13.000Z

2021-08-03T17:25:53.000Z

from cmd import Cmd from abc import ABCMeta, abstractmethod class CommandLine(Cmd, metaclass=ABCMeta): # Abstract class def __init__(self): Cmd.__init__(self) self.prompt = ">>> " self.user_name = "User" self.current_command = "" self.user_args = "" def emptyline(self): pass @abstractmethod def do_create_uml(self, args): pass @abstractmethod def do_deserialize(self, args): pass @abstractmethod def do_info(self, args): pass @abstractmethod def do_quit(self, args): pass @abstractmethod def do_switch_cmd(self, args): pass

18.638889

60

0.605067

75

671

5.173333

0.373333

0.231959

0.270619

0.296392

0.319588

0

0.305514

671

35

61

19.171429

0.832618

0.020864

0

0.423077

0

0.012232

0

1

0.269231

false

0.230769

0.076923

0

0.384615

0

null

1

0

null

0

1

0

1

0

5

845a9b7fa63aa459b1e65966ce03bda89f6614ae

128

py

Python

olamundo.py/exercicios_refeitos/ex001.py

gabrielviticov/exercicios-python

4068cb0029513f8ab8bd12fa3a9055f37b4040d4

[ "MIT" ]

null

olamundo.py/exercicios_refeitos/ex001.py

gabrielviticov/exercicios-python

4068cb0029513f8ab8bd12fa3a9055f37b4040d4

[ "MIT" ]

null

olamundo.py/exercicios_refeitos/ex001.py

gabrielviticov/exercicios-python

4068cb0029513f8ab8bd12fa3a9055f37b4040d4

[ "MIT" ]

null

''' ex001: Crie um programa que escreva “Olá, Mundo” na tela ''' print('{}{}{}'.format('\033[1;34m', 'Olá, mundo!', '\033[m'))

21.333333

61

0.570313

19

128

3.842105

0.842105

0.219178

0

0.108108

0.132813

128

5

62

25.6

0.54955

0.4375

0

0.515625

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

081f9ac6cafc361a0967d3660add0c9adca5c788

23

py

Python

RigidFoilSimer/Tests/__init__.py

vickie-ngo/RigidFoilUDFGenerator

ee6ceb149ece16b2fb85362641e144b231f6e44f

[ "MIT" ]

1

2021-03-24T05:36:03.000Z

RigidFoilSimer/Tests/__init__.py

vickie-ngo/RigidFoilUDFGenerator

ee6ceb149ece16b2fb85362641e144b231f6e44f

[ "MIT" ]

1

2020-06-11T06:30:33.000Z

RigidFoilSimer/Tests/__init__.py

SoftwareDevEngResearch/RigidFoilSimulator

f6ad91b33b897e3e87b8411819be630b50fc4445

[ "MIT" ]

1

2020-04-21T06:37:52.000Z

from . import Test_code

23

0.826087

4

23

4.5

1

0

0.130435

23

1

23

0.9

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f24a56a6c0dc0881732323738d3003a3682b0407

68

py

Python

resources/update.py

DevGev/Lynx

11ceddf63ee5e863b89aa1ff56ba9edd1bfecb07

[ "Unlicense" ]

9

2020-12-14T18:37:10.000Z

2021-06-18T08:06:18.000Z

resources/update.py

DevGev/Lynx

11ceddf63ee5e863b89aa1ff56ba9edd1bfecb07

[ "Unlicense" ]

1

2021-07-15T09:07:45.000Z

2021-12-12T20:21:21.000Z

resources/update.py

DevGev/Lynx

11ceddf63ee5e863b89aa1ff56ba9edd1bfecb07

[ "Unlicense" ]

1

2021-03-18T22:01:01.000Z

import os os.system("pyrcc5 -o ../lynx/resources.py resources.qrc")

22.666667

57

0.735294

11

68

4.545455

0.818182

0

0.016129

0.088235

68

2

58

34

0.790323

0

0.647059

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

f262861b59b5a08979c34fc9a4b5c254094c4fa5

156

py

Python

mid_exam/softuni_reception.py

MaggieIllustrations/softuni-github-programming

f5695cb14602f3d2974359f6d8734332acc650d3

[ "MIT" ]

null

mid_exam/softuni_reception.py

MaggieIllustrations/softuni-github-programming

f5695cb14602f3d2974359f6d8734332acc650d3

[ "MIT" ]

null

mid_exam/softuni_reception.py

MaggieIllustrations/softuni-github-programming

f5695cb14602f3d2974359f6d8734332acc650d3

[ "MIT" ]

1

2022-01-14T17:12:44.000Z

first_employee_efficiency = int(input()) second_employee_efficiency = int(input()) third_employee_efficiency = int(input()) students_count = int(input())

22.285714

41

0.782051

19

156

6.052632

0.473684

0.278261

0.547826

0.678261

0

0.089744

156

6

42

26

0.809859

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

f2a7dc1a732835c89a84bbac6964075449339517

374

py

Python

IT LAB/lab4/additional3.py

Sahil1515/Sem6-Labs

cabedbccc2a5272365c250e2d3f4e3a3e802233f

[ "MIT" ]

1

2021-03-03T16:26:59.000Z

IT LAB/lab4/additional3.py

Sahil1515/sem6-Labs

cabedbccc2a5272365c250e2d3f4e3a3e802233f

[ "MIT" ]

null

IT LAB/lab4/additional3.py

Sahil1515/sem6-Labs

cabedbccc2a5272365c250e2d3f4e3a3e802233f

[ "MIT" ]

null

class Circle: def __init__(self,radius): self.radius=radius def area(self): return (3.14*self.radius*self.radius) def perimeter(self): return (2*3.14*self.radius) radius=int(input("Enter the radius :")) my_obj=Circle(radius) print("Area of the circle: "+str(my_obj.area())) print("Perimeter of the circle: "+str(my_obj.perimeter()))

22

58

0.657754

56

374

4.267857

0.375

0.209205

0.117155

0.167364

0.158996

0

0.022951

0.184492

374

17

58

22

0.760656

0

0.168449

0

1

0.272727

false

0

0.181818

0.545455

0.181818

0

null

1

0

1

0

null

0

1

0

1

0

5

4b2e751a77966791c771d367e2092b9713b63ae8

2,783

py

Python

tests/gateway.py

pceuropa/AWS-Manager

b675798c5ff2d471470449659e8fb8e7b19e723f

[ "Apache-2.0" ]

9

2018-09-29T11:44:19.000Z

2019-11-06T21:41:34.000Z

tests/gateway.py

pceuropa/AWS-Manager

b675798c5ff2d471470449659e8fb8e7b19e723f

[ "Apache-2.0" ]

null

tests/gateway.py

pceuropa/AWS-Manager

b675798c5ff2d471470449659e8fb8e7b19e723f

[ "Apache-2.0" ]

2

2018-12-25T10:13:56.000Z

2021-06-24T11:26:38.000Z

from telemetry.workers.gateway import Gateway from telemetry.tests.mocking import MockData import unittest mock = MockData({"id": 1, "tv": 1, "status_w": [0, 0, 0, 0, 1], 'charge': 1, 'wristband': {"status": [1, 1, 1], 'id': 1}}) snapshot = mock.get() class TestGateway(unittest.TestCase): gateway = Gateway(snapshot) gateway.run() def setUp(self): pass def tearDown(self): pass def test_tv(self): self.assertTrue(self.gateway.tv) def test_status(self): self.assertEqual(self.gateway.status, [1, 1, 0, 0, 0, 0, 1]) self.assertEqual(self.gateway.get_status(0, -1), 0) self.assertEqual(self.gateway.get_status(1, -1), 1) self.assertEqual(self.gateway.get_status(2, -2), 1) self.assertEqual(self.gateway.get_status(3, -2), 1) self.assertEqual(self.gateway.get_status(4, -2), 0) self.assertEqual(self.gateway.get_status(4, -2), 0) def test_active(self): self.assertTrue(self.gateway.isBandActive(mock.get_wristband({'status': 1, 'charge': 0, }))) self.assertFalse(self.gateway.isBandActive(mock.get_wristband({'status': 1, 'charge': 1, }))) self.assertFalse(self.gateway.isBandActive(mock.get_wristband({'status': 0, 'charge': 1, }))) self.assertFalse(self.gateway.isBandActive(mock.get_wristband({'status': 0, 'charge': 0, }))) def test_tv_off(self): mock = MockData({"id": 2, "tv": 0, "status_w": [1, 1, 1, 1, 1], 'charge': 0, 'wristband': {"status": [0, 0, 1], 'id': 2}}) snapshot = mock.get() gateway = Gateway(snapshot) gateway.run() self.assertEqual(gateway.status, [0, 1, 1, 1, 1, 1, 0]) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 1, 'charge': 0, }))) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 1, 'charge': 1, }))) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 0, 'charge': 1, }))) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 0, 'charge': 0, }))) def test_nothing_in_area(self): mock = MockData({"id": 2, "tv": 1, "status_w": [0, 0, 0, 0, 0], 'charge': 0, 'wristband': {"status": [0, 0, 1], 'id': 2}}) snapshot = mock.get() gateway = Gateway(snapshot) gateway.run() self.assertEqual(gateway.status, [1, 0, 0, 0, 0, 0, 0]) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 1, 'charge': 0, }))) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 1, 'charge': 1, }))) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 0, 'charge': 1, }))) self.assertFalse(gateway.isBandActive(mock.get_wristband({'status': 0, 'charge': 0, })))

45.622951

130

0.624506

368

2,783

4.644022

0.11413

0.019895

0.161498

0.182563

0.80983

0.750146

0.726741

0.663546

0.624342

0.57519

0

0.043747

0.186849

2,783

60

131

46.383333

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false

0.042553

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0

0.255319

0

null

0

1

0

null

0

1

0

5

4b3bfd5d46e44f996668fa65466fcb04143a7a51

76

py

Python

hydrobox/tests/preprocessing/__init__.py

joergmeyer-kit/hydrobox

af75a5ba87147e00656435c170535c69fc3298a8

[ "MIT" ]

1

2019-01-15T13:32:56.000Z

hydrobox/tests/preprocessing/__init__.py

joergmeyer-kit/hydrobox

af75a5ba87147e00656435c170535c69fc3298a8

[ "MIT" ]

null

hydrobox/tests/preprocessing/__init__.py

joergmeyer-kit/hydrobox

af75a5ba87147e00656435c170535c69fc3298a8

[ "MIT" ]

null

from .union import TestMerge from .scale import TestAggregate, TestCutPeriod

38

47

0.855263

9

76

7.222222

0.777778

0

0.105263

76

2

47

38

0.955882

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4b5f4af809026d035c3b64af1eafd685a9bb24f8

211

py

Python

virtual/lib/python3.6/site-packages/wtforms/ext/appengine/__init__.py

claudinemahoro/pitch

b30bbf369d1e71e52d1febbab95c3d3eebf02625

[ "MIT" ]

37

2019-04-03T07:19:57.000Z

2022-01-09T06:18:41.000Z

virtual/lib/python3.6/site-packages/wtforms/ext/appengine/__init__.py

claudinemahoro/pitch

b30bbf369d1e71e52d1febbab95c3d3eebf02625

[ "MIT" ]

34

2020-05-11T14:07:27.000Z

2020-11-08T15:23:27.000Z

virtual/lib/python3.6/site-packages/wtforms/ext/appengine/__init__.py

claudinemahoro/pitch

b30bbf369d1e71e52d1febbab95c3d3eebf02625

[ "MIT" ]

130

2019-10-02T14:40:20.000Z

2022-01-26T17:38:26.000Z

import warnings warnings.warn( "'wtforms.ext.appengine' will be removed in WTForms 3.0. Use" " wtforms-appengine instead." " https://github.com/wtforms/wtforms-appengine", DeprecationWarning, )

23.444444

65

0.7109

25

211

6

0.72

0.213333

0

0.011364

0.165877

211

8

66

26.375

0.840909

0

0.620853

0.109005

0

1

0

true

0

0.142857

0

0.142857

0

1

0

null

1

0

1

0

1

0

null

0

1

0

5

4bbd75ef2219299ae764931715cd457a92d54e17

71

py

Python

src/spaceone/notification/connector/__init__.py

jean1042/plugin-telegram-notification-protocol

f4c6c6dd22196194f9252e8ea6f656c999e7ae5e

[ "Apache-2.0" ]

null

src/spaceone/notification/connector/__init__.py

jean1042/plugin-telegram-notification-protocol

f4c6c6dd22196194f9252e8ea6f656c999e7ae5e

[ "Apache-2.0" ]

null

src/spaceone/notification/connector/__init__.py

jean1042/plugin-telegram-notification-protocol

f4c6c6dd22196194f9252e8ea6f656c999e7ae5e

[ "Apache-2.0" ]

1

2021-07-20T02:24:18.000Z

from spaceone.notification.connector.telegram import TelegramConnector

35.5

70

0.901408

7

71

9.142857

1

0

0.056338

71

1

71

0.955224

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2990b78df40fa86b330addaab1b7fc487a4c9f69

50

py

Python

cupy_alias/statistics/correlation.py

fixstars/clpy

693485f85397cc110fa45803c36c30c24c297df0

[ "BSD-3-Clause" ]

142

2018-06-07T07:43:10.000Z

2021-10-30T21:06:32.000Z

cupy_alias/statistics/correlation.py

fixstars/clpy

693485f85397cc110fa45803c36c30c24c297df0

[ "BSD-3-Clause" ]

282

2018-06-07T08:35:03.000Z

2021-03-31T03:14:32.000Z

cupy_alias/statistics/correlation.py

fixstars/clpy

693485f85397cc110fa45803c36c30c24c297df0

[ "BSD-3-Clause" ]

19

2018-06-19T11:07:53.000Z

2021-05-13T20:57:04.000Z

from clpy.statistics.correlation import * # NOQA

25

49

0.78

6

50

6.5

1

0

0.14

50

1

50

0.906977

0.08

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

29b6326b2736367e0e1e7b602863706cca3c7577

37

py

Python

03/01/3.py

pylangstudy/201706

f1cc6af6b18e5bd393cda27f5166067c4645d4d3

[ "CC0-1.0" ]

null

03/01/3.py

pylangstudy/201706

f1cc6af6b18e5bd393cda27f5166067c4645d4d3

[ "CC0-1.0" ]

70

2017-06-01T11:02:51.000Z

2017-06-30T00:35:32.000Z

03/01/3.py

pylangstudy/201706

f1cc6af6b18e5bd393cda27f5166067c4645d4d3

[ "CC0-1.0" ]

null

l = [10,20,30,40,50] del l print(l)

7.4

20

0.567568

10

37

2.1

0.8

0

0.333333

0.189189

37

4

21

9.25

0.366667

0

1

0

false

0

0.333333

1

0

null

0

1

0

1

0

1

0

null

0

5

4b05b8c67733fcd799a2e2f4c48c582602526f7d

276

py

Python

core/CRAC/do_noting.py

kangyifei/CloudSimPy

45912e7ea35086b67941624102e400cb22e549ab

[ "MIT" ]

null

core/CRAC/do_noting.py

kangyifei/CloudSimPy

45912e7ea35086b67941624102e400cb22e549ab

[ "MIT" ]

null

core/CRAC/do_noting.py

kangyifei/CloudSimPy

45912e7ea35086b67941624102e400cb22e549ab

[ "MIT" ]

null

from core.algorithm import Algorithm class ControlAlgorithm(Algorithm): def __call__(self, cluster, clock, cooling_equip=None): return {} class ClusterUpdateAlgorithm(Algorithm): def __call__(self, cluster, clock, cooling_equip=None) -> None: pass

23

67

0.724638

30

276

6.333333

0.566667

0.126316

0.168421

0.210526

0.505263

0

0.184783

276

11

68

25.090909

0.844444

0

1

0.285714

false

0.142857

0.857143

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d9cca46a3c2d4a1cbd768cf267256ce8dd07aacd

589

py

Python

src/python/pants/backend/codegen/ragel/java/register.py

revl/pants

8ad83e4ca80c095d44efceafd8b41e575da39c65

[ "Apache-2.0" ]

1

2021-05-05T18:58:28.000Z

src/python/pants/backend/codegen/ragel/java/register.py

revl/pants

8ad83e4ca80c095d44efceafd8b41e575da39c65

[ "Apache-2.0" ]

null

src/python/pants/backend/codegen/ragel/java/register.py

revl/pants

8ad83e4ca80c095d44efceafd8b41e575da39c65

[ "Apache-2.0" ]

3

2020-06-30T08:28:13.000Z

2021-07-28T09:35:57.000Z

# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from pants.backend.codegen.ragel.java.java_ragel_library import JavaRagelLibrary from pants.backend.codegen.ragel.java.ragel_gen import RagelGen from pants.build_graph.build_file_aliases import BuildFileAliases from pants.goal.task_registrar import TaskRegistrar as task def build_file_aliases(): return BuildFileAliases(targets={"java_ragel_library": JavaRagelLibrary,}) def register_goals(): task(name="ragel", action=RagelGen).install("gen")

36.8125

80

0.813243

78

589

5.987179

0.551282

0.077088

0.068522

0.098501

0.137045

0

0.011299

0.098472

589

15

81

39.266667

0.868173

0.213922

0

0.056522

0

1

0.25

true

0

0.5

0.125

0.875

0

null

0

null

0

1

0

1

0

5

d9d123c9ba74e33f1697970b4ff5ab6b44fa7005

15,741

py

Python

tests/asp/AllAnswerSets/tight/graph_col_1.asp.test.py

bernardocuteri/wasp

05c8f961776dbdbf7afbf905ee00fc262eba51ad

[ "Apache-2.0" ]

19

2015-12-03T08:53:45.000Z

2022-03-31T02:09:43.000Z

tests/asp/AllAnswerSets/tight/graph_col_1.asp.test.py

bernardocuteri/wasp

05c8f961776dbdbf7afbf905ee00fc262eba51ad

[ "Apache-2.0" ]

80

2017-11-25T07:57:32.000Z

2018-06-10T19:03:30.000Z

tests/asp/AllAnswerSets/tight/graph_col_1.asp.test.py

bernardocuteri/wasp

05c8f961776dbdbf7afbf905ee00fc262eba51ad

[ "Apache-2.0" ]

6

2015-01-15T07:51:48.000Z

2020-06-18T14:47:48.000Z

input = """ 1 2 0 0 1 3 0 0 1 4 0 0 1 5 0 0 1 6 0 0 1 7 0 0 1 8 0 0 1 9 0 0 1 10 0 0 1 11 0 0 1 12 0 0 1 13 0 0 1 14 0 0 1 15 0 0 1 16 0 0 1 17 0 0 1 18 0 0 1 19 0 0 1 20 0 0 1 21 0 0 1 22 0 0 1 23 0 0 1 24 0 0 1 25 0 0 1 26 0 0 1 27 0 0 1 28 0 0 1 29 0 0 1 30 0 0 1 31 0 0 1 32 0 0 1 33 0 0 1 34 0 0 1 35 0 0 1 36 0 0 1 37 0 0 1 38 0 0 1 39 0 0 1 40 0 0 1 41 0 0 1 42 0 0 1 43 0 0 1 44 0 0 1 45 0 0 1 46 0 0 1 47 0 0 1 48 0 0 1 49 0 0 1 50 0 0 1 51 0 0 1 52 0 0 1 53 0 0 1 54 0 0 1 55 0 0 1 56 0 0 1 57 0 0 1 58 0 0 1 59 0 0 1 60 0 0 1 61 0 0 1 62 0 0 1 63 0 0 1 64 0 0 1 65 0 0 1 66 0 0 1 67 0 0 1 68 0 0 1 69 0 0 1 70 0 0 1 71 0 0 1 72 0 0 1 73 0 0 1 74 0 0 1 75 0 0 1 76 0 0 1 77 0 0 1 78 0 0 1 79 0 0 1 80 0 0 1 81 0 0 1 82 0 0 1 83 0 0 1 84 0 0 1 85 0 0 1 86 0 0 1 87 0 0 1 88 0 0 1 89 0 0 1 90 0 0 1 91 0 0 1 92 0 0 1 93 0 0 1 94 0 0 1 95 0 0 1 96 0 0 1 97 0 0 1 98 0 0 1 99 0 0 1 100 0 0 1 101 0 0 1 102 0 0 1 103 0 0 1 104 0 0 1 105 0 0 1 106 0 0 1 107 0 0 1 108 0 0 1 109 0 0 1 110 0 0 1 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2 0 375 336 1 1 2 0 375 327 1 1 2 0 372 369 1 1 2 0 372 354 1 1 2 0 372 330 1 1 2 0 372 294 1 1 2 0 369 366 1 1 2 0 369 345 1 1 2 0 369 330 1 1 2 0 369 297 1 1 2 0 369 294 1 1 2 0 366 357 1 1 2 0 366 354 1 1 2 0 366 315 1 1 2 0 366 306 1 1 2 0 363 345 1 1 2 0 363 321 1 1 2 0 363 303 1 1 2 0 360 357 1 1 2 0 360 336 1 1 2 0 360 321 1 1 2 0 360 315 1 1 2 0 360 297 1 1 2 0 357 339 1 1 2 0 357 333 1 1 2 0 357 312 1 1 2 0 357 297 1 1 2 0 354 351 1 1 2 0 354 309 1 1 2 0 354 303 1 1 2 0 354 297 1 1 2 0 351 348 1 1 2 0 351 339 1 1 2 0 351 333 1 1 2 0 351 324 1 1 2 0 351 318 1 1 2 0 348 342 1 1 2 0 348 324 1 1 2 0 348 321 1 1 2 0 348 318 1 1 2 0 348 309 1 1 2 0 345 339 1 1 2 0 345 330 1 1 2 0 345 327 1 1 2 0 345 312 1 1 2 0 342 339 1 1 2 0 342 321 1 1 2 0 342 315 1 1 2 0 342 309 1 1 2 0 339 321 1 1 2 0 339 318 1 1 2 0 339 312 1 1 2 0 339 291 1 1 2 0 336 306 1 1 2 0 336 297 1 1 2 0 333 312 1 1 2 0 333 309 1 1 2 0 333 306 1 1 2 0 330 300 1 1 2 0 327 321 1 1 2 0 324 321 1 1 2 0 318 303 1 1 2 0 318 297 1 1 2 0 315 312 1 1 2 0 312 306 1 1 2 0 312 294 1 1 2 0 309 306 1 1 2 0 309 303 1 1 2 0 306 303 1 1 2 0 306 294 1 1 2 0 303 300 1 1 2 0 300 297 1 1 2 0 297 294 1 1 2 0 288 279 1 1 2 0 288 270 1 1 2 0 288 252 1 1 2 0 288 246 1 1 2 0 288 243 1 1 2 0 288 237 1 1 2 0 285 270 1 1 2 0 285 255 1 1 2 0 285 252 1 1 2 0 285 246 1 1 2 0 285 237 1 1 2 0 282 279 1 1 2 0 282 264 1 1 2 0 282 240 1 1 2 0 282 204 1 1 2 0 279 276 1 1 2 0 279 255 1 1 2 0 279 240 1 1 2 0 279 207 1 1 2 0 279 204 1 1 2 0 276 267 1 1 2 0 276 264 1 1 2 0 276 225 1 1 2 0 276 216 1 1 2 0 273 255 1 1 2 0 273 231 1 1 2 0 273 213 1 1 2 0 270 267 1 1 2 0 270 246 1 1 2 0 270 231 1 1 2 0 270 225 1 1 2 0 270 207 1 1 2 0 267 249 1 1 2 0 267 243 1 1 2 0 267 222 1 1 2 0 267 207 1 1 2 0 264 261 1 1 2 0 264 219 1 1 2 0 264 213 1 1 2 0 264 207 1 1 2 0 261 258 1 1 2 0 261 249 1 1 2 0 261 243 1 1 2 0 261 234 1 1 2 0 261 228 1 1 2 0 258 252 1 1 2 0 258 234 1 1 2 0 258 231 1 1 2 0 258 228 1 1 2 0 258 219 1 1 2 0 255 249 1 1 2 0 255 240 1 1 2 0 255 237 1 1 2 0 255 222 1 1 2 0 252 249 1 1 2 0 252 231 1 1 2 0 252 225 1 1 2 0 252 219 1 1 2 0 249 231 1 1 2 0 249 228 1 1 2 0 249 222 1 1 2 0 249 201 1 1 2 0 246 216 1 1 2 0 246 207 1 1 2 0 243 222 1 1 2 0 243 219 1 1 2 0 243 216 1 1 2 0 240 210 1 1 2 0 237 231 1 1 2 0 234 231 1 1 2 0 228 213 1 1 2 0 228 207 1 1 2 0 225 222 1 1 2 0 222 216 1 1 2 0 222 204 1 1 2 0 219 216 1 1 2 0 219 213 1 1 2 0 216 213 1 1 2 0 216 204 1 1 2 0 213 210 1 1 2 0 210 207 1 1 2 0 207 204 0 201 col(29,3) 204 col(28,3) 207 col(27,3) 210 col(26,3) 213 col(25,3) 216 col(24,3) 219 col(23,3) 222 col(22,3) 225 col(21,3) 228 col(20,3) 231 col(19,3) 234 col(18,3) 237 col(17,3) 240 col(16,3) 243 col(15,3) 246 col(14,3) 249 col(13,3) 252 col(12,3) 255 col(11,3) 258 col(10,3) 261 col(9,3) 264 col(8,3) 267 col(7,3) 270 col(6,3) 273 col(5,3) 276 col(4,3) 279 col(3,3) 282 col(2,3) 285 col(1,3) 288 col(0,3) 291 col(29,2) 294 col(28,2) 297 col(27,2) 300 col(26,2) 303 col(25,2) 306 col(24,2) 309 col(23,2) 312 col(22,2) 315 col(21,2) 318 col(20,2) 321 col(19,2) 324 col(18,2) 327 col(17,2) 330 col(16,2) 333 col(15,2) 336 col(14,2) 339 col(13,2) 342 col(12,2) 345 col(11,2) 348 col(10,2) 351 col(9,2) 354 col(8,2) 357 col(7,2) 360 col(6,2) 363 col(5,2) 366 col(4,2) 369 col(3,2) 372 col(2,2) 375 col(1,2) 378 col(0,2) 381 col(29,1) 384 col(28,1) 387 col(27,1) 390 col(26,1) 393 col(25,1) 396 col(24,1) 399 col(23,1) 402 col(22,1) 405 col(21,1) 408 col(20,1) 411 col(19,1) 414 col(18,1) 417 col(17,1) 420 col(16,1) 423 col(15,1) 426 col(14,1) 429 col(13,1) 432 col(12,1) 435 col(11,1) 438 col(10,1) 441 col(9,1) 444 col(8,1) 447 col(7,1) 450 col(6,1) 453 col(5,1) 456 col(4,1) 459 col(3,1) 462 col(2,1) 465 col(1,1) 468 col(0,1) 0 B+ 0 B- 1 0 1 """ output = """ """

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0.087643

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0.129827

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null

0

5

d9f0c3e1c6cb021832b2df460600484d8fb81443

1,909

py

Python

tests/test_wrappers.py

BB-UCL/autograd-forward

bf5be940a21af52b111a79416c27c8be29b1e6b6

[ "MIT" ]

30

2017-05-28T19:35:22.000Z

2020-01-21T08:18:24.000Z

tests/test_wrappers.py

BB-UCL/autograd-forward

bf5be940a21af52b111a79416c27c8be29b1e6b6

[ "MIT" ]

null

tests/test_wrappers.py

BB-UCL/autograd-forward

bf5be940a21af52b111a79416c27c8be29b1e6b6

[ "MIT" ]

3

2017-06-20T01:35:28.000Z

2020-07-24T14:57:09.000Z

from __future__ import absolute_import import autograd.numpy as np import autograd.numpy.random as npr from autograd.util import * from autograd import jacobian, hessian from autograd_forward import hessian_vector_product, jacobian_vector_product npr.seed(1) def test_hessian_vector_product(): fun = lambda a: np.sum(np.sin(a)) a = npr.randn(5) v = npr.randn(5) H = hessian(fun)(a) check_equivalent(np.dot(H, v), hessian_vector_product(fun)(a, v)) def test_hessian_matrix_product(): fun = lambda a: np.sum(np.sin(a)) a = npr.randn(5, 4) V = npr.randn(5, 4) H = hessian(fun)(a) check_equivalent(np.tensordot(H, V), hessian_vector_product(fun)(a, V)) def test_hessian_tensor_product(): fun = lambda a: np.sum(np.sin(a)) a = npr.randn(5, 4, 3) V = npr.randn(5, 4, 3) H = hessian(fun)(a) check_equivalent(np.tensordot(H, V, axes=np.ndim(V)), hessian_vector_product(fun)(a, V)) def test_fwd_rev_hessian_vector_product(): fun = lambda a: np.sum(np.sin(a)) a = npr.randn(5) v = npr.randn(5) H = hessian(fun)(a) check_equivalent(np.dot(H, v), hessian_vector_product(fun, method='fwd-rev')(a, v)) def test_fwd_rev_hessian_matrix_product(): fun = lambda a: np.sum(np.sin(a)) a = npr.randn(5, 4) V = npr.randn(5, 4) H = hessian(fun)(a) check_equivalent(np.tensordot(H, V), hessian_vector_product(fun, method='fwd-rev')(a, V)) def test_fwd_rev_hessian_tensor_product(): fun = lambda a: np.sum(np.sin(a)) a = npr.randn(5, 4, 3) V = npr.randn(5, 4, 3) H = hessian(fun)(a) check_equivalent(np.tensordot(H, V, axes=np.ndim(V)), hessian_vector_product(fun, method='fwd-rev')(a, V)) def test_jacobian_vector_product(): fun = lambda a: np.roll(np.sin(a), 1) a = npr.randn(5) V = npr.randn(5) J = jacobian(fun)(a) check_equivalent(np.dot(J, V), jacobian_vector_product(fun)(a, V))

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0.103448

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0.77422

0.73399

0.729064

0.712644

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0.017767

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1,909

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0.265306

0

null

0

1

0

null

0

5

d9f7678b839a2311550ad117754c54ed84332c58

20

py

Python

icepp/compiler/optimizer/circuit/__init__.py

pearcandy/aqcel

86e2d97d427f6a31ef223c69defbe3f853a69aa2

[ "Apache-2.0" ]

null

icepp/compiler/optimizer/circuit/__init__.py

pearcandy/aqcel

86e2d97d427f6a31ef223c69defbe3f853a69aa2

[ "Apache-2.0" ]

null

icepp/compiler/optimizer/circuit/__init__.py

pearcandy/aqcel

86e2d97d427f6a31ef223c69defbe3f853a69aa2

[ "Apache-2.0" ]

null

from .aqcel import *

20

0.75

3

20

5

1

0

0.15

20

1

20

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8a4ea63efd0b8b4061ecc3d2df04785790253eec

110

py

Python

ppci/arch/cc.py

rakati/ppci-mirror

8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2

[ "BSD-2-Clause" ]

161

2020-05-31T03:29:42.000Z

2022-03-07T08:36:19.000Z

ppci/arch/cc.py

rakati/ppci-mirror

8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2

[ "BSD-2-Clause" ]

74

2020-05-26T18:05:48.000Z

2021-02-13T21:55:39.000Z

ppci/arch/cc.py

rakati/ppci-mirror

8f5b0282fd1122d7c389b39c86fcf5d9352b7bb2

[ "BSD-2-Clause" ]

19

2020-05-27T19:22:11.000Z

2022-02-17T18:53:52.000Z

""" Calling conventions """ class CallingConvention: def __init__(self, name): self.name = name

15.714286

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0.645455

11

110

6.090909

0.727273

0.238806

0

0.236364

110

6

30

18.333333

0.797619

0.172727

0

1

0.333333

false

0

0.666667

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1

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null

1

0

1

0

null

0

1

0

1

0

5

8a526b6d34712eef7b3f999d100f0f64ce7297de

79

py

Python

segmentation_phenix/__init__.py

mmasinas/segmentation

7992a6c70dcf518162f64d3745542086a9a695e6

[ "Apache-2.0" ]

null

segmentation_phenix/__init__.py

mmasinas/segmentation

7992a6c70dcf518162f64d3745542086a9a695e6

[ "Apache-2.0" ]

null

segmentation_phenix/__init__.py

mmasinas/segmentation

7992a6c70dcf518162f64d3745542086a9a695e6

[ "Apache-2.0" ]

null

from .segmentation import mixture_model, read_channel, blur_frame, blur_channel

79

0.873418

11

79

5.909091

0.818182

0

0.075949

79

1

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null

0

1

0

1

0

1

0

5

8a5a22ffc5edde9b77dc9aceb82163d1783134b1

275

py

Python

crescent/resources/api_gateway_v2/integration/tls_config.py

mpolatcan/zepyhrus

2fd0b1b9b21613b5876a51fe8b5f9e3afbec1b67

[ "Apache-2.0" ]

1

2020-03-26T19:20:03.000Z

crescent/resources/api_gateway_v2/integration/tls_config.py

mpolatcan/zepyhrus

2fd0b1b9b21613b5876a51fe8b5f9e3afbec1b67

[ "Apache-2.0" ]

null

crescent/resources/api_gateway_v2/integration/tls_config.py

mpolatcan/zepyhrus

2fd0b1b9b21613b5876a51fe8b5f9e3afbec1b67

[ "Apache-2.0" ]

null

from crescent.core import Model class TlsConfig(Model): def __init__(self): super(TlsConfig, self).__init__() def ServerNameToVerify(self, server_name_to_verify: str): return self._set_field(self.ServerNameToVerify.__name__, server_name_to_verify)

27.5

87

0.752727

34

275

5.5

0.588235

0.106952

0.128342

0.192513

0

0.16

275

9

88

30.555556

0.809524

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0.333333

false

0

0.166667

0.833333

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null

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1

0

1

0

null

0

1

0

1

0

5

8a6a052ce4ebf8a5ef3fff1463e33e07a29e4a82

123

py

Python

src/elementary_flask/presets/themes/default/__init__.py

xaled/flaskly

2ed66d89e42afba830d6c73c9f70f00d1dcac573

[ "MIT" ]

null

src/elementary_flask/presets/themes/default/__init__.py

xaled/flaskly

2ed66d89e42afba830d6c73c9f70f00d1dcac573

[ "MIT" ]

null

src/elementary_flask/presets/themes/default/__init__.py

xaled/flaskly

2ed66d89e42afba830d6c73c9f70f00d1dcac573

[ "MIT" ]

null

from ._theme import DefaultTheme # from .components import BootstrapTopNavigation from .layouts import TopNavigationLayout

30.75

48

0.861789

12

123

8.75

0.666667

0

0.105691

123

3

49

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0.954545

0.373984

0

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0

true

0

1

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null

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1

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null

0

1

0

1

0

1

0

5

8a72e3aec0c38a7e5275c4a699b7e1e160bc5ad9

2,261

py

Python

plot.py

kubaszpak/graph_algorithms

415d862810b3706efe945052436d7895060a4aa5

[ "MIT" ]

null

plot.py

kubaszpak/graph_algorithms

415d862810b3706efe945052436d7895060a4aa5

[ "MIT" ]

null

plot.py

kubaszpak/graph_algorithms

415d862810b3706efe945052436d7895060a4aa5

[ "MIT" ]

null

import matplotlib.pyplot as plt plt.plot([100, 500, 1000, 1500, 2000], [ 0.07, 1.5, 5.3, 12.2, 19.5], 'b-', label='25% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.2, 2.7, 10, 24.16, 36.5], 'r-', label='50% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.23, 4.2, 13.4, 30, 54.3], 'k-', label='75% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.3, 5, 17.6, 43.7, 68], 'g-', label='99% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.03, 0.3, 1, 1.14, 2.2], 'c-', label='25% DIJKSTRA') plt.plot([100, 500, 1000, 1500, 2000], [ 0.03, 0.22, 1.05, 2.1, 3], 'm-', label='50% DIJKSTRA') plt.plot([100, 500, 1000, 1500, 2000], [ 0.04, 0.4, 1.09, 2.55, 4.2], 'y-', label='75% DIJKSTRA') plt.plot([100, 500, 1000, 1500, 2000], [ 0.05, 0.55, 1.4, 3.1, 5], 'pink', label='99% DIJKSTRA') plt.title('Time of algoritms execution in Adjency Lists') plt.xlabel('Number of vertices') plt.ylabel('Time [ms]') # plt.ylim([100, 200]) plt.legend() plt.show() # AdjencyLists # plt.plot([100, 500, 1000, 1500, 2000], [ # 0.07, 1.5, 5.3, 12.2, 19.5], 'c-', label='25% PRIM') # plt.plot([100, 500, 1000, 1500, 2000], [ # 9.5, x, x, x, x], 'm-', label='50% PRIM') # plt.plot([100, 500, 1000, 1500, 2000], [ # x, x, x, x, x], 'y-', label='75% PRIM') # plt.plot([100, 500, 1000, 1500, 2000], [ # x, x, x, x, x], 'pink', label='99% PRIM') # AdjencyMatrix plt.plot([100, 500, 1000, 1500, 2000], [ 0.15, 2.5, 8.9, 19.5, 31.1], 'b-', label='25% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.20, 4, 13.5, 34, 56.6], 'r-', label='50% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.24, 4.5, 16.5, 37, 67.2], 'k-', label='75% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.25, 4.6, 17.5, 41, 69], 'g-', label='99% PRIM') plt.plot([100, 500, 1000, 1500, 2000], [ 0.06, 0.8, 3.1, 7.3, 12], 'c-', label='25% DIJKSTRA') plt.plot([100, 500, 1000, 1500, 2000], [ 0.1, 1.22, 4.7, 10.5, 18.4], 'm-', label='50% DIJKSTRA') plt.plot([100, 500, 1000, 1500, 2000], [ 0.12, 1.66, 6.5, 13.6, 23], 'y-', label='75% DIJKSTRA') plt.plot([100, 500, 1000, 1500, 2000], [ 0.15, 2, 7.12, 14.7, 26.1], 'pink', label='99% DIJKSTRA')

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8a9d4c12932bfbd50c511324a56f1dbd16c7e746

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py

Python

q2_types/per_sample_sequences/tests/test_format.py

Leo-Simpson/q2-types

2946fda4fe2817fde1646ddcdc8e8ebf41abe5a4

[ "BSD-3-Clause" ]

null

q2_types/per_sample_sequences/tests/test_format.py

Leo-Simpson/q2-types

2946fda4fe2817fde1646ddcdc8e8ebf41abe5a4

[ "BSD-3-Clause" ]

null

q2_types/per_sample_sequences/tests/test_format.py

Leo-Simpson/q2-types

2946fda4fe2817fde1646ddcdc8e8ebf41abe5a4

[ "BSD-3-Clause" ]

null

# ---------------------------------------------------------------------------- # Copyright (c) 2016-2020, QIIME 2 development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- import os.path import shutil import unittest import string import pandas as pd from q2_types.per_sample_sequences import ( CasavaOneEightSingleLanePerSampleDirFmt, CasavaOneEightLanelessPerSampleDirFmt, FastqGzFormat, YamlFormat, FastqManifestFormat, FastqAbsolutePathManifestFormat, SingleEndFastqManifestPhred33, SingleEndFastqManifestPhred64, PairedEndFastqManifestPhred33, PairedEndFastqManifestPhred64, SingleEndFastqManifestPhred33V2, SingleEndFastqManifestPhred64V2, PairedEndFastqManifestPhred33V2, PairedEndFastqManifestPhred64V2, SingleLanePerSampleSingleEndFastqDirFmt, SingleLanePerSamplePairedEndFastqDirFmt, QIIME1DemuxFormat, QIIME1DemuxDirFmt ) from qiime2.plugin.testing import TestPluginBase from qiime2.plugin import ValidationError class TestAbsoluteFastqManifestV2Formats(TestPluginBase): package = 'q2_types.per_sample_sequences.tests' def setUp(self): super().setUp() self.se_formats = [SingleEndFastqManifestPhred33V2, SingleEndFastqManifestPhred64V2] self.pe_formats = [PairedEndFastqManifestPhred33V2, PairedEndFastqManifestPhred64V2] def template_manifest(self, filepath, ctx): with open(filepath) as fh: tmpl = string.Template(fh.read()) basename = os.path.basename(filepath) file_ = os.path.join(self.temp_dir.name, basename) with open(file_, 'w') as fh: fh.write(tmpl.substitute(**ctx)) return file_ def test_validate_se_positive(self): s1 = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') s2 = self.get_data_path('Human-Armpit.fastq.gz') fp = self.get_data_path('absolute_manifests_v2/single-MANIFEST') manifest = self.template_manifest(fp, {'s1': s1, 's2': s2}) for fmt in self.se_formats: fmt(manifest, mode='r').validate() def test_validate_pe_positive(self): s1f = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') s1r = self.get_data_path('Human-Armpit.fastq.gz') s2f = self.get_data_path('Human-Armpit_S2_L001_R1_001.fastq.gz') s2r = self.get_data_path('Human-Kneecap_S1_R1_001.fastq.gz') fp = self.get_data_path('absolute_manifests_v2/paired-MANIFEST') manifest = self.template_manifest(fp, {'s1f': s1f, 's1r': s1r, 's2f': s2f, 's2r': s2r}) for fmt in self.pe_formats: fmt(manifest, mode='r').validate() def test_extra_columns(self): s1f = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') s1r = self.get_data_path('Human-Armpit.fastq.gz') s2f = self.get_data_path('Human-Armpit_S2_L001_R1_001.fastq.gz') s2r = self.get_data_path('Human-Kneecap_S1_R1_001.fastq.gz') fp = self.get_data_path('absolute_manifests_v2/multicol-MANIFEST') manifest = self.template_manifest(fp, {'s1f': s1f, 's1r': s1r, 's2f': s2f, 's2r': s2r}) for fmt in self.se_formats: fmt(manifest, mode='r').validate() def test_invalid_metadata(self): manifest = self.get_data_path('absolute_manifests/single-MANIFEST') for fmt in self.se_formats: with self.assertRaisesRegex(ValidationError, 'unrecognized ID'): fmt(manifest, mode='r').validate() def test_missing_column_se(self): manifest = self.get_data_path('absolute_manifests_v2/paired-MANIFEST') for fmt in self.se_formats: with self.assertRaisesRegex(ValidationError, 'is not a column'): fmt(manifest, mode='r').validate() def test_missing_columns_pe(self): manifest = self.get_data_path('absolute_manifests_v2/single-MANIFEST') for fmt in self.pe_formats: with self.assertRaisesRegex(ValidationError, 'is not a column'): fmt(manifest, mode='r').validate() def test_invalid_column_type(self): manifest = self.get_data_path('absolute_manifests_v2/numeric-MANIFEST') for fmt in self.se_formats: with self.assertRaisesRegex(ValidationError, 'is not a column'): fmt(manifest, mode='r').validate() def test_missing_files(self): manifest = self.get_data_path('absolute_manifests_v2/missing-MANIFEST') for fmt in self.pe_formats: with self.assertRaisesRegex( ValidationError, 'Missing.*line 1.*absolute-filepath'): fmt(manifest, mode='r').validate() def test_path_not_found(self): # we make sure the file is missing by skipping the templating step manifest = self.get_data_path('absolute_manifests_v2/single-MANIFEST') for fmt in self.se_formats: with self.assertRaisesRegex( ValidationError, 'line 1.*absolute-filepath.*Human-Kneecap'): fmt(manifest, mode='r').validate() def test_duplicate_filepaths(self): s1 = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') fp = self.get_data_path('absolute_manifests_v2/single-MANIFEST') manifest = self.template_manifest(fp, {'s1': s1, 's2': s1}) for fmt in self.se_formats: with self.assertRaisesRegex( ValidationError, 'line 2.*absolute-filepath.*Peanut-Eyeball.*' 'line 1.*absolute-filepath.*Human-Kneecap'): fmt(manifest, mode='r').validate() class TestAbsoluteFastqManifestFormats(TestPluginBase): package = 'q2_types.per_sample_sequences.tests' def setUp(self): super().setUp() self.formats = [FastqAbsolutePathManifestFormat, SingleEndFastqManifestPhred33, SingleEndFastqManifestPhred64, PairedEndFastqManifestPhred33, PairedEndFastqManifestPhred64] def test_validate_positive(self): s1 = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') for file in ['single-MANIFEST', 'paired-MANIFEST', 'long-MANIFEST']: filepath = self.get_data_path('absolute_manifests/%s' % file) with open(filepath) as fh: tmpl = string.Template(fh.read()) file_ = os.path.join(self.temp_dir.name, file) with open(file_, 'w') as fh: fh.write(tmpl.substitute(path=os.path.dirname(s1))) for format in self.formats: format(file_, mode='r').validate() def test_validate_negative_no_data(self): filepath = self.get_data_path('no-data-MANIFEST') for format in self.formats: with self.assertRaisesRegex(ValidationError, 'No header found'): format(filepath, mode='r').validate() def test_validate_negative_empty(self): filepath = self.get_data_path('empty-MANIFEST') for format in self.formats: with self.assertRaisesRegex(ValidationError, 'No header found'): format(filepath, mode='r').validate() def test_validate_negative_header_no_records(self): filepath = self.get_data_path('empty-records-MANIFEST') for format in self.formats: with self.assertRaisesRegex(ValidationError, 'No sample records'): format(filepath, mode='r').validate() def test_validate_negative_not_manifest(self): filepath = self.get_data_path('not-MANIFEST') for format in self.formats: with self.assertRaisesRegex(ValidationError, 'line 1.*filename'): format(filepath, mode='r').validate() def test_validate_negative_jagged_manifest(self): filepath = self.get_data_path('absolute_manifests/jagged-MANIFEST') for format in self.formats: with self.assertRaisesRegex(ValidationError, 'line 3.*could not be found'): format(filepath, mode='r').validate() def test_validate_negative_invalid_direction(self): s1 = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') with open(self.get_data_path('invalid-direction-MANIFEST')) as fh: tmpl = string.Template(fh.read()) file_ = os.path.join(self.temp_dir.name, 'invalid-direction-MANIFEST') with open(file_, 'w') as fh: fh.write(tmpl.substitute(path=os.path.dirname(s1))) for format in self.formats: with self.assertRaisesRegex(ValidationError, 'direction.*peanut'): format(file_, mode='r').validate() class TestRelativeFastqManifestFormats(TestPluginBase): package = 'q2_types.per_sample_sequences.tests' def test_validate_positive(self): for file in ['single-MANIFEST', 'paired-MANIFEST', 'long-MANIFEST']: filepath = self.get_data_path('relative_manifests/%s' % file) FastqManifestFormat(filepath, mode='r').validate() def test_validate_negative(self): files = ['no-data-MANIFEST', 'not-MANIFEST', 'relative_manifests/jagged-MANIFEST'] for file in files: filepath = self.get_data_path(file) with self.assertRaisesRegex(ValidationError, 'FastqManifestFormat'): FastqManifestFormat(filepath, mode='r').validate() class TestFastqGzFormat(TestPluginBase): package = 'q2_types.per_sample_sequences.tests' def test_validate_positive(self): filepath = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') format = FastqGzFormat(filepath, mode='r') format.validate() def test_validate_negative(self): filepath = self.get_data_path('not-fastq.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'Header.*1'): format.validate() def test_validate_mixed_case(self): filepath = self.get_data_path('mixed-case.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'Lowercase.*2'): format.validate() def test_validate_uncompressed(self): filepath = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'uncompressed'): format.validate() def test_incomplete_record_qual(self): filepath = self.get_data_path('incomplete-quality.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'quality.*9'): format.validate() def test_incomplete_record_sep(self): filepath = self.get_data_path('incomplete-sep.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'separator.*9'): format.validate() def test_incomplete_record_sequence(self): filepath = self.get_data_path('incomplete-sequence.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'sequence.*9'): format.validate() def test_invalid_record_sep(self): filepath = self.get_data_path('invalid-sep.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'separator.*11'): format.validate() def test_invalid_quality_score_length(self): filepath = self.get_data_path('invalid-quality.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'length.*9'): format.validate() def test_partial_record(self): filepath = self.get_data_path('partial-record.fastq.gz') format = FastqGzFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'sequence.*1'): format.validate() class TestFormats(TestPluginBase): package = 'q2_types.per_sample_sequences.tests' def test_yaml_format_validate_positive(self): filepath = self.get_data_path('metadata.yml') format = YamlFormat(filepath, mode='r') format.validate() def test_yaml_format_validate_negative(self): filepath = self.get_data_path('not-metadata.yml') format = YamlFormat(filepath, mode='r') with self.assertRaisesRegex(ValidationError, 'YamlFormat'): format.validate() def test_casava_one_eight_slanepsample_dir_fmt_validate_positive(self): filepath = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') shutil.copy(filepath, self.temp_dir.name) format = CasavaOneEightSingleLanePerSampleDirFmt( self.temp_dir.name, mode='r') format.validate() def test_casava_one_eight_slanepsample_dir_fmt_manifest_property(self): filepath = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') shutil.copy(filepath, self.temp_dir.name) format = CasavaOneEightSingleLanePerSampleDirFmt( self.temp_dir.name, mode='r') format.validate() self.assertTrue(True) self.assertIsInstance(format.manifest, pd.DataFrame) def test_casava_one_eight_slanepsample_dir_fmt_validate_negative(self): filepath = self.get_data_path('not-fastq.fastq.gz') shutil.copy(filepath, self.temp_dir.name) format = CasavaOneEightSingleLanePerSampleDirFmt( self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'CasavaOneEightSingleLanePer'): format.validate() def test_casava_one_eight_slanepsample_dir_fmt_subdirectories(self): bad_dir = os.path.join(self.temp_dir.name, 'Human_Kneecap') os.mkdir(bad_dir) bad_name = os.path.join(bad_dir, 'S1_L001_R1_001.fastq.gz') fastq = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') shutil.copy(fastq, bad_name) format = CasavaOneEightSingleLanePerSampleDirFmt(self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'subdirectory.*Human_Kneecap'): format.validate() def test_casava_one_eight_slanepsample_dir_fmt_missing_directions(self): f = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') r = self.get_data_path( 'paired_end_data/Human-Kneecap_S1_L001_R2_001.fastq.gz') shutil.copy(f, self.temp_dir.name) shutil.copy(r, self.temp_dir.name) shutil.copy( f, os.path.join(self.temp_dir.name, 'Human-Other_S1_L001_R1_001.fastq.gz')) format = CasavaOneEightSingleLanePerSampleDirFmt(self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'matching.*Human-Other'): format.validate() def test_casava_one_eight_slanepsample_dir_fmt_duplicate_forwards(self): f = self.get_data_path('Human-Kneecap_S1_L001_R1_001.fastq.gz') shutil.copy(f, self.temp_dir.name) shutil.copy( f, os.path.join(self.temp_dir.name, 'Human-Kneecap_S2_L001_R1_001.fastq.gz')) format = CasavaOneEightSingleLanePerSampleDirFmt(self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'Duplicate.*Human-Kneecap'): format.validate() def test_casava_one_eight_slanepsample_dir_fmt_duplicate_reverse(self): r = self.get_data_path( 'paired_end_data/Human-Kneecap_S1_L001_R2_001.fastq.gz') shutil.copy(r, self.temp_dir.name) shutil.copy( r, os.path.join(self.temp_dir.name, 'Human-Kneecap_S2_L001_R2_001.fastq.gz')) format = CasavaOneEightSingleLanePerSampleDirFmt(self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'Duplicate.*Human-Kneecap'): format.validate() def test_miseq_demux_dir_fmt_validate_positive(self): filepath = self.get_data_path('Human-Kneecap_S1_R1_001.fastq.gz') shutil.copy(filepath, self.temp_dir.name) format = CasavaOneEightLanelessPerSampleDirFmt(self.temp_dir.name, mode='r') format.validate() def test_miseq_demux_dir_fmt_validate_negative(self): filepath = self.get_data_path('not-fastq.fastq.gz') shutil.copy(filepath, self.temp_dir.name) format = CasavaOneEightLanelessPerSampleDirFmt(self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'CasavaOneEightLanelessPerSampleDirFmt'): format.validate() def test_slanepsample_single_end_fastq_dir_fmt_validate_positive(self): filenames = ('single_end_data/MANIFEST', 'metadata.yml', 'Human-Kneecap_S1_L001_R1_001.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSampleSingleEndFastqDirFmt( self.temp_dir.name, mode='r') format.validate() def test_slanepsample_single_end_fastq_dir_fmt_validate_negative(self): filenames = ('single_end_data/MANIFEST', 'metadata.yml', 'not-fastq.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSampleSingleEndFastqDirFmt( self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'SingleLanePerSampleSingle'): format.validate() def test_slanepsample_single_end_fastq_dir_fmt_validate_bad_paired(self): filenames = ('paired_end_data/MANIFEST', 'metadata.yml', 'Human-Kneecap_S1_L001_R1_001.fastq.gz', 'paired_end_data/Human-Kneecap_S1_L001_R2_001.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSampleSingleEndFastqDirFmt( self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'Forward and reverse'): format.validate() def test_slanepsample_paired_end_fastq_dir_fmt_validate_positive(self): filenames = ('paired_end_data/MANIFEST', 'metadata.yml', 'Human-Kneecap_S1_L001_R1_001.fastq.gz', 'paired_end_data/Human-Kneecap_S1_L001_R2_001.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSamplePairedEndFastqDirFmt( self.temp_dir.name, mode='r') format.validate() def test_slanepsample_paired_end_fastq_dir_fmt_validate_negative(self): filenames = ('paired_end_data/MANIFEST', 'metadata.yml', 'not-fastq.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSamplePairedEndFastqDirFmt( self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'SingleLanePerSamplePaired'): format.validate() def test_slanepsample_paired_end_fastq_dir_fmt_validate_missing_pair(self): filenames = ('single_end_data/MANIFEST', 'metadata.yml', 'Human-Kneecap_S1_L001_R1_001.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSamplePairedEndFastqDirFmt( self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'paired'): format.validate() def test_slanepsample_paired_end_fastq_dir_fmt_incorrect_filenames(self): filenames = ('single_end_data/MANIFEST.txt', 'metadata.yml.txt', 'Human-Kneecap_S1_L001_R1_001.fastq.gz', 'paired_end_data/Human-Kneecap_S1_L001_R2_001.fastq.gz') for filename in filenames: filepath = self.get_data_path(filename) shutil.copy(filepath, self.temp_dir.name) format = SingleLanePerSamplePairedEndFastqDirFmt( self.temp_dir.name, mode='r') with self.assertRaisesRegex(ValidationError, 'Missing one or more files.*MANIFEST'): format.validate() class TestQIIME1DemuxFormat(TestPluginBase): package = 'q2_types.per_sample_sequences.tests' def setUp(self): super().setUp() self.positives = [ 'empty', 'short.fna', 'long.fna', 'single-record.fna', 'with-descriptions.fna', 'split-libraries-output.fna' ] self.negatives = [ 'incomplete.fna', 'empty-header.fna', 'invalid-header.fna', 'description-only.fna', 'blank-line.fna', 'no-underscore-in-id.fna', 'no-sample-id.fna', 'no-secondary-id.fna', 'duplicate-ids.fna', 'empty-seq.fna', 'not-dna.fna' ] def test_file_format_validate_positive(self): for file in self.positives: filepath = self.get_data_path('qiime1-demux-format/%s' % file) QIIME1DemuxFormat(filepath, mode='r').validate() def test_file_format_validate_negative(self): for file in self.negatives: filepath = self.get_data_path('qiime1-demux-format/%s' % file) with self.assertRaisesRegex(ValidationError, 'QIIME1DemuxFormat'): QIIME1DemuxFormat(filepath, mode='r').validate() def test_directory_format_validate_positive(self): for file in self.positives: filepath = self.get_data_path('qiime1-demux-format/%s' % file) shutil.copy(filepath, os.path.join(self.temp_dir.name, 'seqs.fna')) QIIME1DemuxDirFmt(self.temp_dir.name, mode='r').validate() def test_directory_format_validate_negative(self): for file in self.negatives: filepath = self.get_data_path('qiime1-demux-format/%s' % file) shutil.copy(filepath, os.path.join(self.temp_dir.name, 'seqs.fna')) with self.assertRaisesRegex(ValidationError, 'QIIME1DemuxFormat'): QIIME1DemuxDirFmt(self.temp_dir.name, mode='r').validate() def test_directory_format_wrong_filename(self): filepath = self.get_data_path('qiime1-demux-format/short.fna') shutil.copy(filepath, self.temp_dir.name) with self.assertRaisesRegex(ValidationError, r'QIIME1DemuxDirFmt.*seqs\.fna'): QIIME1DemuxDirFmt(self.temp_dir.name, mode='r').validate() if __name__ == "__main__": unittest.main()

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0.824739

0.769455

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0.706591

0.673636

0.63784

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0.021389

0.25159

24,051

588

80

40.903061

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0

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0

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0

null

0

1

0

1

0

null

0

5

8ac537df715bddd2c4b2a58ca6cafee9df15249c

149

py

Python

Automatas de pila/Automata Par e Impar/Clases/__init__.py

IngMachine/pygame

02ee8ace1a8002cb9f1c0d711bdfc0f44c562a6d

[ "Apache-2.0" ]

1

2019-04-02T20:28:45.000Z

Automatas de pila/Automata Par e Impar/Clases/__init__.py

IngMachine/pygame

02ee8ace1a8002cb9f1c0d711bdfc0f44c562a6d

[ "Apache-2.0" ]

null

Automatas de pila/Automata Par e Impar/Clases/__init__.py

IngMachine/pygame

02ee8ace1a8002cb9f1c0d711bdfc0f44c562a6d

[ "Apache-2.0" ]

1

2019-10-06T16:07:31.000Z

from Automata import Pila from Entrada import Obtener from EstadoPar import EstadosPar from EstadoImpar import EstadosImpar from Lista import Listas

24.833333

36

0.865772

20

149

6.45

0.6

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149

5

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1

0

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0

1

0

1

0

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0

null

0

1

0

1

0

1

0

5

0a1981de5cb07690436fb8cbf79ceb8e0e69c6cf

106

py

Python

Feedbacks.py

rohit-ghosh/tagAPI

90909aaeb2695c861e34164cca35f0592eb645e4

[ "MIT" ]

null

Feedbacks.py

rohit-ghosh/tagAPI

90909aaeb2695c861e34164cca35f0592eb645e4

[ "MIT" ]

null

Feedbacks.py

rohit-ghosh/tagAPI

90909aaeb2695c861e34164cca35f0592eb645e4

[ "MIT" ]

null

# -*- coding: utf-8 -*- from pydantic import BaseModel class Feedback(BaseModel): feedback: str

17.666667

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106

5.833333

0.833333

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0.012048

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106

6

32

17.666667

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true

0

0.333333

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null

0

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null

0

1

0

1

0

1

0

5

0a4c4bf81c48dd40f044b921a1b5ec07ba441880

1,192

py

Python

sympy/assumptions/tests/test_context.py

Michal-Gagala/sympy

3cc756c2af73b5506102abaeefd1b654e286e2c8

[ "MIT" ]

null

sympy/assumptions/tests/test_context.py

Michal-Gagala/sympy

3cc756c2af73b5506102abaeefd1b654e286e2c8

[ "MIT" ]

null

sympy/assumptions/tests/test_context.py

Michal-Gagala/sympy

3cc756c2af73b5506102abaeefd1b654e286e2c8

[ "MIT" ]

null

from sympy.assumptions import ask, Q from sympy.assumptions.assume import assuming, global_assumptions from sympy.abc import x, y def test_assuming(): with assuming(Q.integer(x)): assert ask(Q.integer(x)) assert not ask(Q.integer(x)) def test_assuming_nested(): assert not ask(Q.integer(x)) assert not ask(Q.integer(y)) with assuming(Q.integer(x)): assert ask(Q.integer(x)) assert not ask(Q.integer(y)) with assuming(Q.integer(y)): assert ask(Q.integer(x)) assert ask(Q.integer(y)) assert ask(Q.integer(x)) assert not ask(Q.integer(y)) assert not ask(Q.integer(x)) assert not ask(Q.integer(y)) def test_finally(): try: with assuming(Q.integer(x)): 1/0 except ZeroDivisionError: pass assert not ask(Q.integer(x)) def test_remove_safe(): global_assumptions.add(Q.integer(x)) with assuming(): assert ask(Q.integer(x)) global_assumptions.remove(Q.integer(x)) assert not ask(Q.integer(x)) assert ask(Q.integer(x)) global_assumptions.clear() # for the benefit of other tests

29.8

66

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1,192

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0.198621

0.182069

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0

0.002273

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1,192

39

67

30.564103

0.821591

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1

0

null

0

1

0

1

0

5

0a5c8c7c193080dd5ffcd5300a22c1cab7b90a3b

582

py

Python

testing/mocking/hotel.py

Minkov/python-oop

db9651eef374c0e74c32cb6f2bf07c734cc1d051

[ "MIT" ]

3

2021-11-16T04:52:53.000Z

2022-02-07T20:28:41.000Z

testing/mocking/hotel.py

Minkov/python-oop

db9651eef374c0e74c32cb6f2bf07c734cc1d051

[ "MIT" ]

null

testing/mocking/hotel.py

Minkov/python-oop

db9651eef374c0e74c32cb6f2bf07c734cc1d051

[ "MIT" ]

1

2021-12-07T07:04:38.000Z

from mocking import rooms_manager class Hotel2: def __init__(self, rooms_manager): self.rooms_manager = rooms_manager def book_a_room(self): if not self.rooms_manager.has_free_rooms(): raise Exception('No free rooms') return self.rooms_manager.rooms.pop() class Hotel: def __init__(self): self.rooms_manager = rooms_manager.RoomsManager([1, 2, 3]) def book_a_room(self): if not self.rooms_manager.has_free_rooms(): raise Exception('No free rooms') return self.rooms_manager.rooms.pop()

24.25

66

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79

582

4.594937

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582

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67

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null

1

0

null

0

1

0

1

0

5

0a70c9779057144f843950ac4f7a17047b750606

4,511

py

Python

src/tests/api/test_api_answers.py

lili668668/pretalx

5ba2185ffd7c5f95254aafe25ad3de340a86eadb

[ "Apache-2.0" ]

418

2017-10-05T05:52:49.000Z

2022-03-24T09:50:06.000Z

src/tests/api/test_api_answers.py

AKJK-Internet-32002/pretalx

062177a8a361dd57a8889e2dd422beec505881a9

[ "Apache-2.0" ]

1,049

2017-09-16T09:34:55.000Z

2022-03-23T16:13:04.000Z

src/tests/api/test_api_answers.py

AKJK-Internet-32002/pretalx

062177a8a361dd57a8889e2dd422beec505881a9

[ "Apache-2.0" ]

155

2017-10-16T18:32:01.000Z

2022-03-15T12:48:33.000Z

import json import pytest from django_scopes import scope from pretalx.submission.models import Answer @pytest.mark.django_db @pytest.mark.parametrize("is_public", (True, False)) def test_answers_not_visible_by_default(client, answer, schedule, is_public): with scope(event=answer.event): answer.question.is_public = is_public answer.question.save() response = client.get(answer.event.api_urls.answers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert bool(len(content["results"])) is is_public @pytest.mark.django_db def test_organizer_can_see_answer(orga_client, answer): response = orga_client.get(answer.event.api_urls.answers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert len(content["results"]) == 1 assert content["results"][0]["id"] == answer.id @pytest.mark.django_db @pytest.mark.parametrize("is_visible", (True, False)) def test_answers_not_visible_by_default_to_reviewers(review_client, answer, is_visible): with scope(event=answer.event): answer.question.is_visible_to_reviewers = is_visible answer.question.save() response = review_client.get(answer.question.event.api_urls.answers, follow=True) content = json.loads(response.content.decode()) assert response.status_code == 200 assert bool(len(content["results"])) is is_visible @pytest.mark.django_db def test_organizer_can_create_answer(event, orga_client, question, submission, speaker): with scope(event=event): count = Answer.objects.filter(question__event=event).count() response = orga_client.post( event.api_urls.answers, { "question": question.id, "submission": submission.code, "person": speaker.code, "answer": "Tralalalala", }, ) assert response.status_code == 201, response.content.decode() with scope(event=event): assert Answer.objects.filter(question__event=event).count() == count + 1 answer = Answer.objects.filter(question__event=event).first() assert answer.answer == "Tralalalala" @pytest.mark.django_db def test_duplicate_answer_updates_existing_answer( event, orga_client, question, submission, speaker, answer ): with scope(event=event): count = Answer.objects.filter(question__event=event).count() response = orga_client.post( event.api_urls.answers, { "question": answer.question_id, "submission": answer.submission.code, "person": "", "answer": "Tralalalala", }, ) assert response.status_code == 201, response.content.decode() with scope(event=event): assert Answer.objects.filter(question__event=event).count() == count answer = Answer.objects.filter(question__event=event).first() assert answer.answer == "Tralalalala" @pytest.mark.django_db def test_organizer_can_edit_answers(event, orga_client, answer): response = orga_client.patch( event.api_urls.answers + f"{answer.pk}/", {"answer": "ohno.png"}, content_type="application/json", ) assert response.status_code == 200, response.content.decode() with scope(event=event): answer.refresh_from_db() assert answer.answer == "ohno.png" @pytest.mark.django_db def test_reviewer_cannot_create_answer( event, review_client, question, submission, speaker ): with scope(event=event): count = Answer.objects.filter(question__event=event).count() response = review_client.post( event.api_urls.answers, { "question": question.id, "submission": submission.code, "person": speaker.code, "answer": "Tralalalala", }, ) assert response.status_code == 403, response.content.decode() with scope(event=event): assert Answer.objects.filter(question__event=event).count() == count @pytest.mark.django_db def test_reviewer_cannot_edit_answer(event, review_client, answer): response = review_client.patch( event.api_urls.answers + f"{answer.pk}/", {"answer": "ohno.png"}, content_type="application/json", ) assert response.status_code == 403, response.content.decode() with scope(event=event): answer.refresh_from_db() assert answer.answer != "ohno.png"

35.242188

88

0.678785

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4,511

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0.794646

0.773975

0.662826

0.634361

0

0.007488

0.200621

4,511

127

89

35.519685

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0.174312

1

0.073395

false

0

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0.110092

0

null

0

1

0

1

0

null

0

5

6a7807445782c31427dcbd95bcac81f04b908158

100

py

Python

extensible_cache/__init__.py

felixnext/PythonCache

7a0ba502a7d6b5a70f0c968b31fe5c0257fee57b

[ "MIT" ]

null

extensible_cache/__init__.py

felixnext/PythonCache

7a0ba502a7d6b5a70f0c968b31fe5c0257fee57b

[ "MIT" ]

null

extensible_cache/__init__.py

felixnext/PythonCache

7a0ba502a7d6b5a70f0c968b31fe5c0257fee57b

[ "MIT" ]

null

from .Cache import Cache from .PandasCache import PandasFileCache from .MongoCache import MongoCache

33.333333

40

0.86

12

100

7.166667

0.5

0

0.11

100

3

41

33.333333

0.966292

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6a87d116ded1cf711980a9120327a3c70f92a2ba

44

py

Python

pmakeup/exceptions/PMakeupException.py

Koldar/pmake

85aca559b23cabc77dd657c5b645e26472b9e900

[ "Apache-2.0" ]

null

pmakeup/exceptions/PMakeupException.py

Koldar/pmake

85aca559b23cabc77dd657c5b645e26472b9e900

[ "Apache-2.0" ]

null

pmakeup/exceptions/PMakeupException.py

Koldar/pmake

85aca559b23cabc77dd657c5b645e26472b9e900

[ "Apache-2.0" ]

null

class PMakeupException(Exception): pass

14.666667

34

0.772727

4

44

8.5

1

0

0.159091

44

2

35

22

0.918919

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

6ae4cbe71f3e87b9314d5068c5350de4e42ac289

222

py

Python

source/appModules/zend-eclipse-php.py

SamKacer/nvda

0f08ccb7e524c425d2cdad96bf4a9ad7bd59a043

[ "bzip2-1.0.6" ]

null

source/appModules/zend-eclipse-php.py

SamKacer/nvda

0f08ccb7e524c425d2cdad96bf4a9ad7bd59a043

[ "bzip2-1.0.6" ]

null

source/appModules/zend-eclipse-php.py

SamKacer/nvda

0f08ccb7e524c425d2cdad96bf4a9ad7bd59a043

[ "bzip2-1.0.6" ]

null

"""App module for Zend Eclipse PHP Developer Tools This simply uses the app module for Eclipse. """ from .eclipse import * from appModuleHandler import _warnDeprecatedAliasAppModule _warnDeprecatedAliasAppModule()

27.75

59

0.797297

24

222

7.291667

0.666667

0.102857

0.137143

0

0.153153

222

7

60

31.714286

0.930851

0.414414

0

1

0

true

0

0.666667

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

6aea3594870fca8a1f926da62443028de3803042

60

py

Python

rosetta/tests/__init__.py

wpj-cz/django-rosetta

883bd4f49e2c24b3b8fd5a1b7026ec990d6ce6bd

[ "MIT" ]

2

2015-03-13T16:40:10.000Z

2017-11-01T18:29:01.000Z

rosetta/tests/__init__.py

wpj-cz/django-rosetta

883bd4f49e2c24b3b8fd5a1b7026ec990d6ce6bd

[ "MIT" ]

null

rosetta/tests/__init__.py

wpj-cz/django-rosetta

883bd4f49e2c24b3b8fd5a1b7026ec990d6ce6bd

[ "MIT" ]

1

2019-09-29T05:00:26.000Z

from .tests import * from microsofttranslator.test import *

20

38

0.8

7

60

6.857143

0.714286

0

0.133333

60

2

39

30

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

0a8ab84cd0758dae0d72540c6b7c8f68dc34b76e

102

py

Python

sqlbucket/__init__.py

socialpoint-labs/sqlflow

5f1c23ff3207e0e162ae5ab93f80129a982e5468

[ "MIT" ]

67

2019-09-17T16:36:15.000Z

2022-03-28T09:16:31.000Z

sqlbucket/__init__.py

socialpoint-labs/sqlflow

5f1c23ff3207e0e162ae5ab93f80129a982e5468

[ "MIT" ]

10

2019-11-14T16:43:37.000Z

2021-12-19T16:06:20.000Z

sqlbucket/__init__.py

socialpoint-labs/sqlflow

5f1c23ff3207e0e162ae5ab93f80129a982e5468

[ "MIT" ]

7

2019-12-04T14:31:17.000Z

2021-12-23T15:53:01.000Z

__version__ = "0.4.1" from sqlbucket.core import SQLBucket from sqlbucket.project import Project

11.333333

37

0.77451

14

102

5.357143

0.642857

0.346667

0

0.034884

0.156863

102

8

38

12.75

0.837209

0

0.050505

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

0ab453a8e841aba9f1db257c6933f1b83e557fba

2,071

py

Python

src_nlp/tensorflow/competition/ppdai/data/dataloaders/dataloader_word_fixed.py

ashishpatel26/finch

bf2958c0f268575e5d51ad08fbc08b151cbea962

[ "MIT" ]

1

2019-02-12T09:22:00.000Z

src_nlp/tensorflow/competition/ppdai/data/dataloaders/dataloader_word_fixed.py

loopzxl/finch

bf2958c0f268575e5d51ad08fbc08b151cbea962

[ "MIT" ]

null

src_nlp/tensorflow/competition/ppdai/data/dataloaders/dataloader_word_fixed.py

loopzxl/finch

bf2958c0f268575e5d51ad08fbc08b151cbea962

[ "MIT" ]

1

2020-10-15T21:34:17.000Z

import tensorflow as tf from configs.general import args from .preprocess_word_fixed import PreProcessor def _parse_train_fn(example_proto): parsed_feats = tf.parse_single_example( example_proto, features={ 'input1': tf.FixedLenFeature([args.w_max_len], tf.int64), 'input2': tf.FixedLenFeature([args.w_max_len], tf.int64), 'label': tf.FixedLenFeature([], tf.int64) }) return parsed_feats['input1'], parsed_feats['input2'], parsed_feats['label'] def _parse_test_fn(example_proto): parsed_feats = tf.parse_single_example( example_proto, features={ 'input1': tf.FixedLenFeature([args.w_max_len], tf.int64), 'input2': tf.FixedLenFeature([args.w_max_len], tf.int64), }) return parsed_feats['input1'], parsed_feats['input2'] class DataLoader(object): def __init__(self): preprocessor = PreProcessor() def train_input_fn(self): ds = tf.data.TFRecordDataset(['../data/tfrecords/word_train_fixed.tfrecord']) ds = ds.map(_parse_train_fn) ds = ds.shuffle(250000) ds = ds.batch(args.batch_size) iterator = ds.make_one_shot_iterator() x1, x2, y = iterator.get_next() return ({'input1': x1, 'input2': x2}, y) def val_input_fn(self): ds = tf.data.TFRecordDataset(['../data/tfrecords/word_val_fixed.tfrecord']) ds = ds.map(_parse_train_fn) ds = ds.batch(args.batch_size) iterator = ds.make_one_shot_iterator() x1, x2, y = iterator.get_next() return ({'input1': x1, 'input2': x2}) def predict_input_fn(self): ds = tf.data.TFRecordDataset(['../data/tfrecords/word_test_fixed.tfrecord']) ds = ds.map(_parse_test_fn) ds = ds.batch(args.batch_size) iterator = ds.make_one_shot_iterator() x1, x2 = iterator.get_next() return ({'input1': x1, 'input2': x2})

35.101695

88

0.598745

247

2,071

4.732794

0.238866

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0.071856

0.075278

0.775877

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0

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2,071

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89

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0.333333

0

null

0

1

0

null

0

5

0ac4766364c02bfdce866c6b2c947756aed3a381

2,219

py

Python

foundation_public/admin.py

smegurus/smegurus-django

053973b5ff0b997c52bfaca8daf8e07db64a877c

[ "BSD-4-Clause" ]

1

2020-07-16T10:58:23.000Z

foundation_public/admin.py

smegurus/smegurus-django

053973b5ff0b997c52bfaca8daf8e07db64a877c

[ "BSD-4-Clause" ]

13

2018-11-30T02:29:39.000Z

2022-03-11T23:35:49.000Z

foundation_public/admin.py

smegurus/smegurus-django

053973b5ff0b997c52bfaca8daf8e07db64a877c

[ "BSD-4-Clause" ]

null

from django.contrib import admin from foundation_public.models.banned import BannedDomain from foundation_public.models.banned import SortedBannedIPByLatestCreationDate from foundation_public.models.banned import BannedWord from foundation_public.models.fileupload import PublicFileUpload from foundation_public.models.imageupload import PublicImageUpload from foundation_public.models.countryoption import CountryOption from foundation_public.models.provinceoption import ProvinceOption from foundation_public.models.cityoption import CityOption from foundation_public.models.brand import PublicBrand from foundation_public.models.contactpoint import PublicContactPoint from foundation_public.models.geocoordinate import PublicGeoCoordinate from foundation_public.models.language import PublicLanguage from foundation_public.models.openinghoursspecification import PublicOpeningHoursSpecification from foundation_public.models.postaladdress import PublicPostalAddress from foundation_public.models.place import PublicPlace from foundation_public.models.country import PublicCountry from foundation_public.models.organizationregistration import PublicOrganizationRegistration from foundation_public.models.organization import PublicOrganization from foundation_public.models.organization import PublicDomain from foundation_public.models.visitor import SortedPublicVisitorsByLatestCreation # Register your models here. admin.site.register(CountryOption) admin.site.register(ProvinceOption) admin.site.register(CityOption) admin.site.register(BannedDomain) admin.site.register(SortedBannedIPByLatestCreationDate) admin.site.register(BannedWord) admin.site.register(PublicFileUpload) admin.site.register(PublicImageUpload) admin.site.register(PublicBrand) admin.site.register(PublicContactPoint) admin.site.register(PublicGeoCoordinate) admin.site.register(PublicLanguage) admin.site.register(PublicOpeningHoursSpecification) admin.site.register(PublicPostalAddress) admin.site.register(PublicPlace) admin.site.register(PublicCountry) admin.site.register(PublicOrganization) admin.site.register(PublicOrganizationRegistration) admin.site.register(PublicDomain) admin.site.register(SortedPublicVisitorsByLatestCreation)

49.311111

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0.102799

0

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2,219

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50.431818

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1

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1

0

5

0af52ce14d028095e771ad9bed4bdd74900195a5

151

py

Python

brainframe_qt/ui/main_window/activities/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

17

2021-02-11T18:19:22.000Z

2022-02-08T06:12:50.000Z

brainframe_qt/ui/main_window/activities/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

80

2021-02-11T08:27:31.000Z

2021-10-13T21:33:22.000Z

brainframe_qt/ui/main_window/activities/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

5

2021-02-12T09:51:34.000Z

2022-02-08T09:25:15.000Z

from .stream_configuration import StreamConfiguration from .stream_activity import StreamActivity from .identity_configuration import IdentityActivity

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5

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77

py

Python

CustomOperators/__init__.py

Qkrisi/python-custom-operators

7273d082c7388a008a8e645e2f7b09c98b89990a

[ "MIT" ]

1

2020-11-11T08:47:57.000Z

CustomOperators/__init__.py

Qkrisi/python-custom-operators

7273d082c7388a008a8e645e2f7b09c98b89990a

[ "MIT" ]

null

CustomOperators/__init__.py

Qkrisi/python-custom-operators

7273d082c7388a008a8e645e2f7b09c98b89990a

[ "MIT" ]

null

from CustomOperators.Operators import Operator, ImportModule, AddRule, Apply

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5

7c5213ba7309d9e7947dbe8602b9d7d71560dab8

2,554

py

Python

services/employee_authority_group_service.py

juxiangwu/PSS

9108ca6b669f0bec9647d015d14b421dacc02645

[ "Apache-2.0" ]

null

services/employee_authority_group_service.py

juxiangwu/PSS

9108ca6b669f0bec9647d015d14b421dacc02645

[ "Apache-2.0" ]

null

services/employee_authority_group_service.py

juxiangwu/PSS

9108ca6b669f0bec9647d015d14b421dacc02645

[ "Apache-2.0" ]

null

# -*-coding:utf-8 -*- import json from dao.employee_authority_group_dao import EmployeeAuthorityGroupDAO from config.constants import Constants from config.message_cn import MessageConstants_CN class EmployeeAuthorityGroupService() def __init__(self): self.__dao = EmployeeAuthorityGroupDAO() def query(self,shopId): results = self.__dao.getByShopId(shopId=shopId) jsonobjs = [] for result in results: jsonobjs.append(results.to_json()) total = len(results) res = "{\"datas\":" + json.dumps(results) +",\"total\":%d}" % (total) return res def add(self,shopId,name,authorityId): code,res = self.__dao.add(shopId=shopId,name=name,authorityId=authorityId) result = {} if code == Constants.REGISTER_FAILED: result['success'] = False if res == Constants.NAME_EXISTED: result['msg'] = MessageConstants_CN.MSG_AUTHORITY_GROUP_NAME_EXISTED % (name) elif res == Constants.INVALID_ARGS: result['msg'] = MessageConstants_CN.MSG_INVALID_ARGS else: result['msg'] = MessageConstants_CN.MSG_INTER_ERROR else: result['success'] = True result['msg'] = MessageConstants_CN.MSG_OPERATE_SUCCESS return result def remove(self,id): code,res = self.__dao.remove(id=id) # TODO:需要更新子权限的分组信息 result = {} if code == Constants.REGISTER_FAILED: result['success'] = False if res == Constants.INVALID_ARGS: result['msg'] = MessageConstants_CN.MSG_INVALID_ARGS else: result['msg'] = MessageConstants_CN.MSG_INTER_ERROR else: result['success'] = True result['msg'] = MessageConstants_CN.MSG_OPERATE_SUCCESS return result def update(self,newdata): code,res = self.__dao.update(newdata) result = {} if code == Constants.REGISTER_FAILED: result['success'] = False if res == Constants.NAME_EXISTED: result['msg'] = MessageConstants_CN.MSG_AUTHORITY_GROUP_NAME_EXISTED % newdata['name'] elif res == Constants.INVALID_ARGS: result['msg'] = MessageConstants_CN.MSG_INVALID_ARGS else: result['msg'] = MessageConstants_CN.MSG_INTER_ERROR else: result['success'] = True result['msg'] = MessageConstants_CN.MSG_OPERATE_SUCCESS return result

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1

0

1

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5

7ced91f3ec99292349d523bbf1f47e0759cfbf17

104

pyw

Python

module_3/input/run.pyw

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

module_3/input/run.pyw

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

module_3/input/run.pyw

pveierland/permve-ntnu-it3105

6a7e4751de47b091c1c9c59560c19a8452698d81

[ "CC0-1.0" ]

null

#!/usr/bin/python3 import sys sys.path.append('../../vi') import vi.app.nonogram vi.app.nonogram.main()

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0

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null

0

1

0

1

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5

6b02c6df982de1ff3438941b30d8d07006042331

151

py

Python

util.py

tdene/synth_opt_adders

c94ba6e61468e8867f7a3f8d5af252b0e42664a0

[ "Apache-2.0" ]

24

2021-04-19T21:07:23.000Z

2022-03-27T19:33:38.000Z

util.py

tdene/synth_opt_adders

c94ba6e61468e8867f7a3f8d5af252b0e42664a0

[ "Apache-2.0" ]

15

2022-01-17T03:12:01.000Z

2022-03-14T14:44:57.000Z

util.py

tdene/synth_opt_adders

c94ba6e61468e8867f7a3f8d5af252b0e42664a0

[ "Apache-2.0" ]

3

2021-06-09T23:05:45.000Z

2022-02-09T22:01:46.000Z

#!/bin/python3 def lg(x): return x.bit_length()-1 if __name__=="__main__": raise RuntimeError("This file is importable, but not executable")

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null

0

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0

1

0

5

6b19709f522fedd42645fdfae3f26f7422746459

10,257

py

Python

tests/test_download.py

oceanprotocol/provider-py

c586a89be88874efde0e79a7dffd65db40b7d8ec

[ "Apache-2.0" ]

1

2020-10-27T07:30:06.000Z

tests/test_download.py

oceanprotocol/provider-py

c586a89be88874efde0e79a7dffd65db40b7d8ec

[ "Apache-2.0" ]

14

2020-05-28T11:50:18.000Z

2020-10-26T09:51:49.000Z

tests/test_download.py

oceanprotocol/provider-py

c586a89be88874efde0e79a7dffd65db40b7d8ec

[ "Apache-2.0" ]

2

2020-06-30T06:08:07.000Z

2020-09-09T03:44:29.000Z

# # Copyright 2021 Ocean Protocol Foundation # SPDX-License-Identifier: Apache-2.0 # import copy import time from datetime import datetime from unittest.mock import patch import pytest from ocean_provider.constants import BaseURLs from ocean_provider.utils.accounts import sign_message from ocean_provider.utils.provider_fees import get_provider_fees from ocean_provider.utils.services import ServiceType from tests.test_helpers import ( get_dataset_ddo_with_multiple_files, get_first_service_by_type, get_registered_asset, mint_100_datatokens, start_order, ) @pytest.mark.integration @pytest.mark.parametrize( "userdata,erc20_enterprise", [(False, False), ("valid", False), ("invalid", False), (False, True)], ) def test_download_service( client, publisher_wallet, consumer_wallet, web3, userdata, erc20_enterprise ): asset = get_registered_asset(publisher_wallet, erc20_enterprise=erc20_enterprise) service = get_first_service_by_type(asset, ServiceType.ACCESS) mint_100_datatokens( web3, service.datatoken_address, consumer_wallet.address, publisher_wallet ) tx_id, _ = start_order( web3, service.datatoken_address, consumer_wallet.address, service.index, get_provider_fees(asset.did, service, consumer_wallet.address, 0), consumer_wallet, ) payload = { "documentId": asset.did, "serviceId": service.id, "consumerAddress": consumer_wallet.address, "transferTxId": tx_id, "fileIndex": 0, } if userdata: payload["userdata"] = ( '{"surname":"XXX", "age":12}' if userdata == "valid" else "cannotdecode" ) download_endpoint = BaseURLs.SERVICES_URL + "/download" # Consume using url index and signature (withOUT nonce), should fail payload["signature"] = sign_message(asset.did, consumer_wallet) print(">>>> Expecting request error from the download endpoint <<<<") response = client.get(download_endpoint, query_string=payload) assert response.status_code == 400, f"{response.data}" # Consume using url index and signature (with nonce) nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload["signature"] = sign_message(_msg, consumer_wallet) payload["nonce"] = nonce response = client.get( service.service_endpoint + download_endpoint, query_string=payload ) assert response.status_code == 200, f"{response.data}" if not userdata and not erc20_enterprise: nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload["signature"] = sign_message(_msg, consumer_wallet) payload["nonce"] = nonce payload["transferTxId"] = "0x123" # some dummy response = client.get(download_endpoint, query_string=payload) assert response.status_code == 400, f"{response.data}" @pytest.mark.integration @pytest.mark.parametrize("timeout", [0, 1, 3600]) def test_download_timeout(client, publisher_wallet, consumer_wallet, web3, timeout): """ If timeout == 0, order is valid forever else reject request if current timestamp - order timestamp > timeout """ asset = get_registered_asset(publisher_wallet, timeout=timeout) service = get_first_service_by_type(asset, ServiceType.ACCESS) mint_100_datatokens( web3, service.datatoken_address, consumer_wallet.address, publisher_wallet ) tx_id, _ = start_order( web3, service.datatoken_address, consumer_wallet.address, service.index, get_provider_fees(asset.did, service, consumer_wallet.address, 0), consumer_wallet, ) # Sleep for 1 second (give the order time to expire) time.sleep(1) payload = { "documentId": asset.did, "serviceId": service.id, "consumerAddress": consumer_wallet.address, "transferTxId": tx_id, "fileIndex": 0, } download_endpoint = BaseURLs.SERVICES_URL + "/download" # Consume using url index and signature (with nonce) nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload["signature"] = sign_message(_msg, consumer_wallet) payload["nonce"] = nonce response = client.get( service.service_endpoint + download_endpoint, query_string=payload ) # Expect failure if timeout is 1 second. Expect success otherwise if timeout == 1: assert response.status_code == 400, f"{response.data}" else: assert response.status_code == 200, f"{response.data}" @pytest.mark.unit def test_empty_payload(client): consume = client.get( BaseURLs.SERVICES_URL + "/download", data=None, content_type="application/json" ) assert consume.status_code == 400 @pytest.mark.integration def test_download_multiple_files(client, publisher_wallet, consumer_wallet, web3): asset = get_dataset_ddo_with_multiple_files(client, publisher_wallet) service = get_first_service_by_type(asset, ServiceType.ACCESS) mint_100_datatokens( web3, service.datatoken_address, consumer_wallet.address, publisher_wallet ) tx_id, _ = start_order( web3, service.datatoken_address, consumer_wallet.address, service.index, get_provider_fees(asset.did, service, consumer_wallet.address, 0), consumer_wallet, ) nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" # Consume using url index and auth token # (let the provider do the decryption) payload = { "documentId": asset.did, "serviceId": service.id, "consumerAddress": consumer_wallet.address, "signature": sign_message(_msg, consumer_wallet), "transferTxId": tx_id, "fileIndex": 0, "nonce": nonce, } download_endpoint = BaseURLs.SERVICES_URL + "/download" response = client.get(download_endpoint, query_string=payload) assert response.status_code == 200, f"{response.data}" nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload["signature"] = sign_message(_msg, consumer_wallet) payload["fileIndex"] = 1 payload["nonce"] = nonce download_endpoint = BaseURLs.SERVICES_URL + "/download" response = client.get(download_endpoint, query_string=payload) assert response.status_code == 200, f"{response.data}" nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload["signature"] = sign_message(_msg, consumer_wallet) payload["fileIndex"] = 2 payload["nonce"] = nonce download_endpoint = BaseURLs.SERVICES_URL + "/download" response = client.get(download_endpoint, query_string=payload) assert response.status_code == 200, f"{response.data}" @pytest.mark.integration def test_download_compute_asset_by_c2d(client, publisher_wallet, consumer_wallet, web3): asset = get_dataset_ddo_with_multiple_files(client, publisher_wallet) service = get_first_service_by_type(asset, ServiceType.ACCESS) mint_100_datatokens( web3, service.datatoken_address, consumer_wallet.address, publisher_wallet ) tx_id, _ = start_order( web3, service.datatoken_address, consumer_wallet.address, service.index, get_provider_fees(asset.did, service, consumer_wallet.address, 0), consumer_wallet, ) nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload = { "documentId": asset.did, "serviceId": service.id, "consumerAddress": consumer_wallet.address, "signature": sign_message(_msg, consumer_wallet), "transferTxId": tx_id, "fileIndex": 0, "nonce": nonce, } def other_service(_): new_service = copy.deepcopy(service) new_service.type = "compute" return new_service with patch("ocean_provider.routes.consume.get_c2d_environments") as mock: mock.return_value = [{"consumerAddress": consumer_wallet.address}] with patch( "ocean_provider.utils.asset.Asset.get_service_by_id", side_effect=other_service, ): download_endpoint = BaseURLs.SERVICES_URL + "/download" response = client.get(download_endpoint, query_string=payload) assert response.status_code == 200, f"{response.data}" @pytest.mark.integration def test_download_compute_asset_by_user_fails( client, publisher_wallet, consumer_wallet, web3 ): asset = get_dataset_ddo_with_multiple_files(client, publisher_wallet) service = get_first_service_by_type(asset, ServiceType.ACCESS) mint_100_datatokens( web3, service.datatoken_address, consumer_wallet.address, publisher_wallet ) tx_id, _ = start_order( web3, service.datatoken_address, consumer_wallet.address, service.index, get_provider_fees(asset.did, service, consumer_wallet.address, 0), consumer_wallet, ) nonce = str(datetime.utcnow().timestamp()) _msg = f"{asset.did}{nonce}" payload = { "documentId": asset.did, "serviceId": service.id, "consumerAddress": consumer_wallet.address, "signature": sign_message(_msg, consumer_wallet), "transferTxId": tx_id, "fileIndex": 0, "nonce": nonce, } def other_service(_): new_service = copy.deepcopy(service) new_service.type = "compute" return new_service with patch("ocean_provider.routes.consume.get_c2d_environments") as mock: mock.return_value = [ {"consumerAddress": "0x0000000000000000000000000000000000000123"} ] with patch( "ocean_provider.utils.asset.Asset.get_service_by_id", side_effect=other_service, ): download_endpoint = BaseURLs.SERVICES_URL + "/download" response = client.get(download_endpoint, query_string=payload) assert response.status_code == 400, f"{response.data}" assert ( response.json["error"] == f"Service with index={service.id} is not an access service." )

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0.004132

0

null

0

1

0

null

0

5

861f6bdd260a660c457ec4aa6f447d0869efd79a

44

py

Python

Module1/hello_world.py

ioef/SPSE

37eaeb0fd7c5cf564c3b60590f6bfe4de928b920

[ "MIT" ]

16

2017-03-23T16:27:20.000Z

2022-03-31T07:04:40.000Z

vim/templates/python.tpl

jbgutierrez/config

556370ffe83d4aa90390a9092dbe5d24a73db3ea

[ "MIT" ]

null

vim/templates/python.tpl

jbgutierrez/config

556370ffe83d4aa90390a9092dbe5d24a73db3ea

[ "MIT" ]

8

2016-10-11T13:18:08.000Z

2022-02-12T19:38:57.000Z

#!/usr/bin/env python print "Hello World!"

11

21

0.681818

7

44

4.285714

1

0

0.136364

44

3

22

14.666667

0.789474

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0

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null

0

1

0

1

0

5

861f9a9795a7b44a6064d93ea6bae9e852abe18a

30

py

Python

tests/test-data/printdiv.py

NablaZeroLabs/sheldon

a5c39becc92ef97f6fb71c7daa13512ddcb2594f

[ "MIT" ]

null

tests/test-data/printdiv.py

NablaZeroLabs/sheldon

a5c39becc92ef97f6fb71c7daa13512ddcb2594f

[ "MIT" ]

1

2018-07-24T05:31:26.000Z

2018-07-25T00:09:07.000Z

tests/test-data/printdiv.py

NablaZeroLabs/sheldon

a5c39becc92ef97f6fb71c7daa13512ddcb2594f

[ "MIT" ]

1

2018-07-24T02:07:15.000Z

print("Hello " + str(541/71))

15

29

0.6

5

30

3.6

1

0

0.192308

0.133333

30

1

30

0.5

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true

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null

0

1

0

null

0

1

0

1

0

5

86283fd31819c30012d62ce52db1eea9ae9a77af

15,442

py

Python

tests/python/relay/test_pass_instrument.py

QingChuanWS/tvm

f1486ef65eca7b9b2eb41d8ea83bc3021f358acd

[ "Zlib", "Unlicense", "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0" ]

1

2020-11-25T11:40:05.000Z

tests/python/relay/test_pass_instrument.py

QingChuanWS/tvm

f1486ef65eca7b9b2eb41d8ea83bc3021f358acd

[ "Zlib", "Unlicense", "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0" ]

null

tests/python/relay/test_pass_instrument.py

QingChuanWS/tvm

f1486ef65eca7b9b2eb41d8ea83bc3021f358acd

[ "Zlib", "Unlicense", "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0" ]

null

# 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. """ Instrument test cases. """ import pytest import tvm import tvm.relay from tvm.relay import op from tvm.ir.instrument import PassTimingInstrument, pass_instrument def get_test_model(): x, y, z = [tvm.relay.var(c, shape=(3, 4), dtype="float32") for c in "xyz"] e1 = op.add(x, y) e2 = op.subtract(x, z) e3 = op.multiply(e1, e1 / e2) return tvm.IRModule.from_expr(e3 + e2) def test_pass_timing_instrument(): pass_timing = PassTimingInstrument() # Override current PassContext's instruments tvm.transform.PassContext.current().override_instruments([pass_timing]) mod = get_test_model() mod = tvm.relay.transform.AnnotateSpans()(mod) mod = tvm.relay.transform.ToANormalForm()(mod) mod = tvm.relay.transform.InferType()(mod) profiles = pass_timing.render() assert "AnnotateSpans" in profiles assert "ToANormalForm" in profiles assert "InferType" in profiles # Reset current PassContext's instruments to None tvm.transform.PassContext.current().override_instruments(None) mod = get_test_model() mod = tvm.relay.transform.AnnotateSpans()(mod) mod = tvm.relay.transform.ToANormalForm()(mod) mod = tvm.relay.transform.InferType()(mod) profiles = pass_timing.render() assert profiles == "" def test_custom_instrument(): @pass_instrument class MyTest: def __init__(self): self.events = [] def enter_pass_ctx(self): self.events.append("enter ctx") def exit_pass_ctx(self): self.events.append("exit ctx") def run_before_pass(self, mod, info): self.events.append("run before " + info.name) def run_after_pass(self, mod, info): self.events.append("run after " + info.name) mod = get_test_model() my_test = MyTest() with tvm.transform.PassContext(instruments=[my_test]): mod = tvm.relay.transform.InferType()(mod) assert ( "enter ctx" "run before InferType" "run after InferType" "exit ctx" == "".join(my_test.events) ) def test_disable_pass(): @pass_instrument class CustomPI: def __init__(self): self.events = [] def should_run(self, mod, info): # Only run pass name contains "InferType" if "InferType" not in info.name: return False return True def run_before_pass(self, mod, info): self.events.append(info.name) mod = get_test_model() custom_pi = CustomPI() with tvm.transform.PassContext(instruments=[custom_pi]): mod = tvm.relay.transform.AnnotateSpans()(mod) mod = tvm.relay.transform.ToANormalForm()(mod) mod = tvm.relay.transform.InferType()(mod) assert "InferType" == "".join(custom_pi.events) def test_multiple_instrument(): @pass_instrument class SkipPass: def __init__(self, skip_pass_name): self.skip_pass_name = skip_pass_name def should_run(self, mod, info): if self.skip_pass_name in info.name: return False return True skip_annotate = SkipPass("AnnotateSpans") skip_anf = SkipPass("ToANormalForm") @pass_instrument class PrintPassName: def __init__(self): self.events = [] def run_before_pass(self, mod, info): self.events.append(info.name) mod = get_test_model() print_pass_name = PrintPassName() with tvm.transform.PassContext(instruments=[skip_annotate, skip_anf, print_pass_name]): mod = tvm.relay.transform.AnnotateSpans()(mod) mod = tvm.relay.transform.ToANormalForm()(mod) mod = tvm.relay.transform.InferType()(mod) assert "InferType" == "".join(print_pass_name.events) def test_instrument_pass_counts(): @pass_instrument class PassesCounter: def __init__(self): self.run_before_count = 0 self.run_after_count = 0 def __clear(self): self.run_before_count = 0 self.run_after_count = 0 def enter_pass_ctx(self): self.__clear() def exit_pass_ctx(self): self.__clear() def run_before_pass(self, mod, info): self.run_before_count = self.run_before_count + 1 def run_after_pass(self, mod, info): self.run_after_count = self.run_after_count + 1 mod = get_test_model() passes_counter = PassesCounter() with tvm.transform.PassContext(instruments=[passes_counter]): tvm.relay.build(mod, "llvm") assert passes_counter.run_after_count != 0 assert passes_counter.run_after_count == passes_counter.run_before_count # Out of pass context scope, should be reset assert passes_counter.run_before_count == 0 assert passes_counter.run_after_count == 0 def test_enter_pass_ctx_exception(): events = [] @pass_instrument class PI: def __init__(self, id): self.id = id def enter_pass_ctx(self): events.append(self.id + " enter ctx") def exit_pass_ctx(self): events.append(self.id + " exit ctx") @pass_instrument class PIBroken(PI): def __init__(self, id): super().__init__(id) def enter_pass_ctx(self): events.append(self.id + " enter ctx") raise RuntimeError("Just a dummy error") pass_ctx = tvm.transform.PassContext(instruments=[PI("%1"), PIBroken("%2"), PI("%3")]) with pytest.raises(tvm.error.TVMError) as cm: with pass_ctx: pass assert "Just a dummy error" in str(cm.execption) assert "%1 enter ctx" "%2 enter ctx" "%1 exit ctx" == "".join(events) # Make sure we get correct PassContext cur_pass_ctx = tvm.transform.PassContext.current() assert pass_ctx != cur_pass_ctx assert cur_pass_ctx.instruments == None def test_enter_pass_ctx_exception_global(): @pass_instrument class PIBroken: def enter_pass_ctx(self): raise RuntimeError("Just a dummy error") cur_pass_ctx = tvm.transform.PassContext.current() with pytest.raises(tvm.error.TVMError) as cm: cur_pass_ctx.override_instruments([PIBroken()]) assert "Just a dummy error" in str(cm.exception) assert not cur_pass_ctx.instruments def test_exit_pass_ctx_exception(): events = [] @pass_instrument class PI: def __init__(self, id): self.id = id def exit_pass_ctx(self): events.append(self.id + " exit ctx") def exit_pass_ctx(self): events.append(self.id + " exit ctx") @pass_instrument class PIBroken(PI): def __init__(self, id): super().__init__(id) def exit_pass_ctx(self): events.append(self.id + " exit ctx") raise RuntimeError("Just a dummy error") pass_ctx = tvm.transform.PassContext(instruments=[PI("%1"), PIBroken("%2"), PI("%3")]) with pytest.raises(tvm.error.TVMError) as cm: with pass_ctx: pass assert "Just a dummy error" in str(cm.exception) assert "%1 exit ctx" "%2 exit ctx" == "".join(events) # Make sure we get correct PassContext cur_pass_ctx = tvm.transform.PassContext.current() assert pass_ctx != cur_pass_ctx assert not cur_pass_ctx.instruments def test_exit_pass_ctx_exception_global(): @pass_instrument class PIBroken: def exit_pass_ctx(self): raise RuntimeError("Just a dummy error") cur_pass_ctx = tvm.transform.PassContext.current() with pytest.raises(tvm.error.TVMError) as cm: cur_pass_ctx.override_instruments([PIBroken()]) cur_pass_ctx.override_instruments([PIBroken()]) assert "Just a dummy error" in str(cm.exception) assert not cur_pass_ctx.instruments def test_pass_exception(): events = [] @pass_instrument class PI: def enter_pass_ctx(self): events.append("enter_pass_ctx") def exit_pass_ctx(self): events.append("exit_pass_ctx") def should_run(self, mod, info): events.append("should_run") return True def run_before_pass(self, mod, info): events.append("run_before_pass") def run_after_pass(self, mod, info): events.append("run_after_pass") @tvm.transform.module_pass(opt_level=2) def transform(mod, ctx): events.append("transform pass") raise RuntimeError("Just a dummy error") return mod mod = get_test_model() with pytest.raises(tvm.error.TVMError) as cm: with tvm.transform.PassContext(instruments=[PI()]): mod = transform(mod) assert "Just a dummy error" in str(cm.exception) assert ( "enter_pass_ctx" "should_run" "run_before_pass" "transform pass" "exit_pass_ctx" == "".join(events) ) def test_should_run_exception(): events = [] @pass_instrument class PI: def __init__(self, id): self.id = id def enter_pass_ctx(self): events.append(self.id + " enter_pass_ctx") def exit_pass_ctx(self): events.append(self.id + " exit_pass_ctx") def should_run(self, mod, info): events.append(self.id + " should_run") raise RuntimeError("Just a dummy error") return True def run_before_pass(self, mod, info): events.append(self.id + " run_before_pass") def run_after_pass(self, mod, info): events.append(self.id + " run_after_pass") @tvm.transform.module_pass(opt_level=2) def transform(mod, ctx): events.append("transform pass") return mod mod = get_test_model() with pytest.raises(tvm.error.TVMError) as cm: with tvm.transform.PassContext(instruments=[PI("%1"), PI("%2")]): mod = transform(mod) assert "Just a dummy error" in str(cm.exception) assert ( "%1 enter_pass_ctx" "%2 enter_pass_ctx" "%1 should_run" "%1 exit_pass_ctx" "%2 exit_pass_ctx" == "".join(events) ) def test_run_before_exception(): events = [] @pass_instrument class PI: def __init__(self, id): self.id = id def enter_pass_ctx(self): events.append(self.id + " enter_pass_ctx") def exit_pass_ctx(self): events.append(self.id + " exit_pass_ctx") def should_run(self, mod, info): events.append(self.id + " should_run") return True def run_before_pass(self, mod, info): events.append(self.id + " run_before_pass") raise RuntimeError("Just a dummy error") def run_after_pass(self, mod, info): events.append(self.id + " run_after_pass") @tvm.transform.module_pass(opt_level=2) def transform(mod, ctx): events.append("transform pass") return mod mod = get_test_model() with pytest.raises(tvm.error.TVMError) as cm: with tvm.transform.PassContext(instruments=[PI("%1"), PI("%2")]): mod = transform(mod) assert "Just a dummy error" in str(cm.exception) assert ( "%1 enter_pass_ctx" "%2 enter_pass_ctx" "%1 should_run" "%2 should_run" "%1 run_before_pass" "%1 exit_pass_ctx" "%2 exit_pass_ctx" == "".join(events) ) def test_run_after_exception(): events = [] @pass_instrument class PI: def __init__(self, id): self.id = id def enter_pass_ctx(self): events.append(self.id + " enter_pass_ctx") def exit_pass_ctx(self): events.append(self.id + " exit_pass_ctx") def should_run(self, mod, info): events.append(self.id + " should_run") return True def run_before_pass(self, mod, info): events.append(self.id + " run_before_pass") def run_after_pass(self, mod, info): events.append(self.id + " run_after_pass") raise RuntimeError("Just a dummy error") @tvm.transform.module_pass(opt_level=2) def transform(mod, ctx): events.append("transform pass") return mod x, y = [tvm.relay.var(c, shape=(3, 4), dtype="float32") for c in "xy"] mod = tvm.IRModule.from_expr(tvm.relay.add(x, y)) with pytest.raises(tvm.error.TVMError) as cm: with tvm.transform.PassContext(instruments=[PI("%1"), PI("%2")]): mod = transform(mod) assert "Just a dummy error" in str(cm.exception) assert ( "%1 enter_pass_ctx" "%2 enter_pass_ctx" "%1 should_run" "%2 should_run" "%1 run_before_pass" "%2 run_before_pass" "transform pass" "%1 run_after_pass" "%1 exit_pass_ctx" "%2 exit_pass_ctx" == "".join(events) ) def test_instrument_call_sequence(): events = [] @pass_instrument class PI: def __init__(self, id): self.id = id def enter_pass_ctx(self): events.append(self.id + " enter_pass_ctx") def exit_pass_ctx(self): events.append(self.id + " exit_pass_ctx") def should_run(self, mod, info): events.append(" " + self.id + " should_run") return True def run_before_pass(self, mod, info): events.append(" " + self.id + " run_before_pass") def run_after_pass(self, mod, info): events.append(" " + self.id + " run_after_pass") @tvm.transform.module_pass(opt_level=2) def transform1(mod, ctx): events.append(" transform1 pass") return mod @tvm.transform.module_pass(opt_level=2) def transform2(mod, ctx): events.append(" transform2 pass") return mod mod = get_test_model() with tvm.transform.PassContext(instruments=[PI("%1"), PI("%2")]): mod = transform1(mod) mod = transform2(mod) assert ( "%1 enter_pass_ctx" "%2 enter_pass_ctx" " %1 should_run" " %2 should_run" " %1 run_before_pass" " %2 run_before_pass" " transform1 pass" " %1 run_after_pass" " %2 run_after_pass" " %1 should_run" " %2 should_run" " %1 run_before_pass" " %2 run_before_pass" " transform2 pass" " %1 run_after_pass" " %2 run_after_pass" "%1 exit_pass_ctx" "%2 exit_pass_ctx" == "".join(events) )

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ev3simulator/__init__.py

haningrisha/ev3simulator

d782d72f62f1be95df8e28cc5d94bfd701bcda1a

[ "MIT" ]

null

ev3simulator/__init__.py

haningrisha/ev3simulator

d782d72f62f1be95df8e28cc5d94bfd701bcda1a

[ "MIT" ]

null

ev3simulator/__init__.py

haningrisha/ev3simulator

d782d72f62f1be95df8e28cc5d94bfd701bcda1a

[ "MIT" ]

null

from ev3simulator.Engine import LargeMotor, UltrasonicSensor

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Python

swiper/__init__.py

FreeGodCode/swiper

e1a43289a75f36313a940065b59477be6dc16b11

[ "MIT" ]

null

swiper/__init__.py

FreeGodCode/swiper

e1a43289a75f36313a940065b59477be6dc16b11

[ "MIT" ]

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2021-02-01T06:28:34.000Z

2021-02-16T14:31:04.000Z

swiper/__init__.py

FreeGodCode/swiper

e1a43289a75f36313a940065b59477be6dc16b11

[ "MIT" ]

null

import pymysql from lib.db import patch_model pymysql.install_as_MySQLdb() # 首先加载__init__文件 patch_model()

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Python

imgcls/modeling/backbone/__init__.py

vaishnavmohit/imageclassification-detectron

fbce15cd72e104da3a46f3c5549b757f93dbcaca

[ "MIT" ]

null

imgcls/modeling/backbone/__init__.py

vaishnavmohit/imageclassification-detectron

fbce15cd72e104da3a46f3c5549b757f93dbcaca

[ "MIT" ]

null

imgcls/modeling/backbone/__init__.py

vaishnavmohit/imageclassification-detectron

fbce15cd72e104da3a46f3c5549b757f93dbcaca

[ "MIT" ]

null

from .mobilenet import * from .resnet_classification import * from .resnet_torchvision import * __all__ = [k for k in globals().keys() if not k.startswith("_")]

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Python

tf_taggers/pos_taggers/visualization_views.py

xflows/tf_taggers

367926aee43937cfa1ace7eca8e3f2aa59306c07

[ "MIT" ]

null

tf_taggers/pos_taggers/visualization_views.py

xflows/tf_taggers

367926aee43937cfa1ace7eca8e3f2aa59306c07

[ "MIT" ]

null

tf_taggers/pos_taggers/visualization_views.py

xflows/tf_taggers

367926aee43937cfa1ace7eca8e3f2aa59306c07

[ "MIT" ]

null

import django.template.loader from django.shortcuts import get_object_or_404

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edaac/models/__init__.py

EDAAC/EDAAC

136b0fafa554af3be1a46d8576cbf1f8e7996bdb

[ "BSD-3-Clause" ]

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2020-04-29T02:46:18.000Z

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edaac/models/__init__.py

The-OpenROAD-Project/EDAAC

13440174a2aeab80bd87bd8be3729135bdb44961

[ "BSD-3-Clause" ]

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2020-04-29T03:09:07.000Z

2020-04-29T03:10:34.000Z

edaac/models/__init__.py

EDAAC/EDAAC

136b0fafa554af3be1a46d8576cbf1f8e7996bdb

[ "BSD-3-Clause" ]

4

2020-04-30T15:41:55.000Z

2021-03-19T13:27:29.000Z

from .project import Project from .design import Design from .technology import Technology from .tool import Tool from .stage import Stage from .flow import Flow

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py

Python

netbeansifier/__main__.py

tylertian123/netbeansifier

ef7a0f24a294bbc5263d587e07fbffc5029a5a57

[ "MIT" ]

null

netbeansifier/__main__.py

tylertian123/netbeansifier

ef7a0f24a294bbc5263d587e07fbffc5029a5a57

[ "MIT" ]

null

netbeansifier/__main__.py

tylertian123/netbeansifier

ef7a0f24a294bbc5263d587e07fbffc5029a5a57

[ "MIT" ]

null

from .netbeansify import main main()

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py

Python

1_newscrawler/sleeper.py

fuadcan/complexBI

f1926fe355e8bf9b362df226d2b39c2070b461d2

[ "Apache-2.0" ]

1

2020-12-01T16:42:39.000Z

1_newscrawler/sleeper.py

fuadcan/complexBI

f1926fe355e8bf9b362df226d2b39c2070b461d2

[ "Apache-2.0" ]

null

1_newscrawler/sleeper.py

fuadcan/complexBI

f1926fe355e8bf9b362df226d2b39c2070b461d2

[ "Apache-2.0" ]

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2018-10-08T06:34:51.000Z

2020-12-01T16:52:38.000Z

import time import random time.sleep(random.randint(30,40))

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