xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

7ed68b135fae7055a1df0bce1a986f0d8ac261d1

1,278

py

Python

hackerrank/greedy/easy/luck_balance.py

johnklee/algprac

51a7c872806aec261c5e3db6cbac47ec34516b4d

[ "Apache-2.0" ]

null

hackerrank/greedy/easy/luck_balance.py

johnklee/algprac

51a7c872806aec261c5e3db6cbac47ec34516b4d

[ "Apache-2.0" ]

null

hackerrank/greedy/easy/luck_balance.py

johnklee/algprac

51a7c872806aec261c5e3db6cbac47ec34516b4d

[ "Apache-2.0" ]

null

#!/usr/bin/env python import math import os import random import re import sys r''' https://www.hackerrank.com/challenges/luck-balance/problem ''' # Complete the luckBalance function below. def luckBalance(n, k, contests): luck_sum = 0 important_game_luck_list = [] for l, t in contests: if t == 0: luck_sum += l else: important_game_luck_list.append(l) # Sorting in descending order important_game_luck_list = sorted(important_game_luck_list, reverse=True) # Add up all luck in losing game for i in range(min(k, len(important_game_luck_list))): luck_sum += important_game_luck_list[i] # Minus back all luck in winning game if k < len(important_game_luck_list): for i in important_game_luck_list[k:]: luck_sum -= i return luck_sum import unittest class FAT(unittest.TestCase): def setUp(self): pass def test_01(self): self.assertEqual(luckBalance(3, 2, [(5, 1), (1, 1), (4, 0)]), 10) self.assertEqual(luckBalance(3, 1, [(5, 1), (1, 1), (4, 0)]), 8) def test_02(self): real = luckBalance(6, 3, [(5, 1), (2, 1), (1, 1), (8, 1), (10, 0), (5, 0)]) self.assertEqual(real, 29, 'Expect:29; Real:{}'.format(real))

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7edd1979a3b1be28d9c0d5d26e5f431ea582aaeb

9,520

py

Python

python/smqtk/representation/descriptor_element/__init__.py

mikiec84/SMQTK

8d0bbfe7ba89ada28299fecf0bee8ceb7863ccef

[ "BSD-3-Clause" ]

null

python/smqtk/representation/descriptor_element/__init__.py

mikiec84/SMQTK

8d0bbfe7ba89ada28299fecf0bee8ceb7863ccef

[ "BSD-3-Clause" ]

3

2021-09-08T02:17:49.000Z

2022-03-12T00:40:33.000Z

python/smqtk/representation/descriptor_element/__init__.py

mikiec84/SMQTK

8d0bbfe7ba89ada28299fecf0bee8ceb7863ccef

[ "BSD-3-Clause" ]

null

import abc import numpy from collections import defaultdict from smqtk.representation import SmqtkRepresentation from smqtk.utils.dict import merge_dict from smqtk.utils.plugin import Pluggable from smqtk.utils.parallel import parallel_map from ._io import elements_to_matrix def _uuid_and_vector_from_descriptor(descriptor): """ Given a descriptor, return a tuple containing the UUID and associated vector for that descriptor :param descriptor: The descriptor to process. :type descriptor: smqtk.representation.descriptor_element.DescriptorElement :return: Tuple containing the UUID and associated vector for the given descriptor :rtype: tuple[collections.Hashable, numpy.ndarray] """ return (descriptor.uuid(), descriptor.vector()) class DescriptorElement (SmqtkRepresentation, Pluggable): """ Abstract descriptor vector container. This structure supports implementations that cache descriptor vectors on a per-UUID basis. UUIDs must maintain unique-ness when transformed into a string. Descriptor element equality based on shared descriptor type and vector equality. Two descriptor vectors that are generated by different types of descriptor generator should not be considered the same (though, this may be up for discussion). Stored vectors should be effectively immutable. """ def __init__(self, type_str, uuid): """ Initialize a new descriptor element. :param type_str: Type of descriptor. This is usually the name of the content descriptor that generated this vector. :type type_str: str :param uuid: Unique ID reference of the descriptor. :type uuid: collections.Hashable """ super(DescriptorElement, self).__init__() self._type_label = type_str self._uuid = uuid def __hash__(self): return hash(self.uuid()) def __eq__(self, other): if isinstance(other, DescriptorElement): return numpy.array_equal(self.vector(), other.vector()) return False def __ne__(self, other): return not (self == other) def __repr__(self): return "%s{type: %s, uuid: %s}" % (self.__class__.__name__, self.type(), self.uuid()) def __getstate__(self): return { "_type_label": self._type_label, "_uuid": self._uuid, } def __setstate__(self, state): self._type_label = state['_type_label'] self._uuid = state['_uuid'] @classmethod def get_default_config(cls): """ Generate and return a default configuration dictionary for this class. This will be primarily used for generating what the configuration dictionary would look like for this class without instantiating it. By default, we observe what this class's constructor takes as arguments, aside from the first two assumed positional arguments, turning those argument names into configuration dictionary keys. If any of those arguments have defaults, we will add those values into the configuration dictionary appropriately. The dictionary returned should only contain JSON compliant value types. It is not be guaranteed that the configuration dictionary returned from this method is valid for construction of an instance of this class. :return: Default configuration dictionary for the class. :rtype: dict """ # similar to parent impl, except we remove the ``type_str`` and ``uuid`` # configuration parameters as they are to be specified at runtime. dc = super(DescriptorElement, cls).get_default_config() # These parameters must be specified at construction time. del dc['type_str'], dc['uuid'] return dc # noinspection PyMethodOverriding @classmethod def from_config(cls, config_dict, type_str, uuid, merge_default=True): """ Instantiate a new instance of this class given the desired type, uuid, and JSON-compliant configuration dictionary. :param type_str: Type of descriptor. This is usually the name of the content descriptor that generated this vector. :type type_str: str :param uuid: Unique ID reference of the descriptor. :type uuid: collections.Hashable :param config_dict: JSON compliant dictionary encapsulating a configuration. :type config_dict: dict :param merge_default: Merge the given configuration on top of the default provided by ``get_default_config``. :type merge_default: bool :return: Constructed instance from the provided config. :rtype: DescriptorElement """ c = {} merge_dict(c, config_dict) c['type_str'] = type_str c['uuid'] = uuid return super(DescriptorElement, cls).from_config(c, merge_default) def uuid(self): """ :return: Unique ID for this vector. :rtype: collections.Hashable """ return self._uuid def type(self): """ :return: Type label type of the DescriptorGenerator that generated this vector. :rtype: str """ return self._type_label @classmethod def _get_many_vectors(cls, descriptors): """ Internal method to be overridden by subclasses to return many vectors associated with given descriptors. :note: Returned vectors are *not* guaranteed to be returned in the order they are requested. Missing vectors may be returned as None or omitted entirely from results. The wrapper function `get_many_vectors` handles re-ordering as necessary and insertion of None for missing values. :param descriptors: Iterable of descriptors to query for. :type descriptors: collections.Iterable[ smqtk.representation.descriptor_element.DescriptorElement] :return: Iterator of tuples containing the descriptor uuid and the vector associated with the given descriptors or None if the descriptor has no associated vector :rtype: collections.Iterable[ tuple[collections.Hashable, Union[numpy.ndarray, None]]] """ for uuid_vector_pair in parallel_map( _uuid_and_vector_from_descriptor, descriptors, name='retrieve_vectors'): yield uuid_vector_pair @classmethod def get_many_vectors(cls, descriptors): """ Get an iterator over vectors associated with given descriptors. :note: Most subclasses should override internal method `_get_many_vectors` rather than this external wrapper function. If a subclass does override this classmethod, it is responsible for appropriately handling any valid DescriptorElement, regardless of subclass. :param descriptors: Iterable of descriptors to query for. :type descriptors: collections.Iterable[ smqtk.representation.descriptor_element.DescriptorElement] :return: Iterable of vectors associated with the given descriptors or None if the descriptor has no associated vector. Results are returned in the order that descriptors were given. :rtype: collections.Iterable[Union[numpy.ndarray, None]] """ batch_dictionary = defaultdict(list) uuid_indices = {} index = -1 for index, descriptor_ in enumerate(descriptors): # Divide descriptors up into batches based on their type, since # each DescriptorElement subclass knows best how to optimally # retrieve vectors of its own type. batch_dictionary[type(descriptor_)].append(descriptor_) # Keep track of the order of descriptors to ensure that we return # vectors in the requested order after batching them out. uuid_indices[descriptor_.uuid()] = index # Default to None, since _get_many_vectors implementations can ignore # any descriptors that cannot be retrieved ordered_vectors = [None] * (index + 1) # Retrieve all the vectors for a given type of descriptor in a single # batch for cls, descriptor_batch in batch_dictionary.items(): for uuid, vector in cls._get_many_vectors(descriptor_batch): ordered_vectors[uuid_indices[uuid]] = vector return ordered_vectors ### # Abstract methods # @abc.abstractmethod def has_vector(self): """ :return: Whether or not this container current has a descriptor vector stored. :rtype: bool """ @abc.abstractmethod def vector(self): """ :return: Get the stored descriptor vector as a numpy array. This returns None of there is no vector stored in this container. :rtype: numpy.ndarray or None """ @abc.abstractmethod def set_vector(self, new_vec): """ Set the contained vector. If this container already stores a descriptor vector, this will overwrite it. :param new_vec: New vector to contain. :type new_vec: numpy.ndarray :returns: Self. :rtype: DescriptorMemoryElement """

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7edf76b6600b05a8c9e3c83e36e5b4783fedb977

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py

Python

pdsf_py2/tests/test_weaver.py

probablytom/pydysofu

6b760f288fb4305561e885e54652cfb11c80ef14

[ "MIT" ]

null

pdsf_py2/tests/test_weaver.py

probablytom/pydysofu

6b760f288fb4305561e885e54652cfb11c80ef14

[ "MIT" ]

2

2017-11-17T16:59:40.000Z

2018-04-22T11:35:51.000Z

pdsf_py2/tests/test_weaver.py

probablytom/pydysofu

6b760f288fb4305561e885e54652cfb11c80ef14

[ "MIT" ]

1

2017-11-17T16:33:04.000Z

import unittest from mock import Mock import pydysofu as fm from pydysofu.core_fuzzers import * from example_workflow import ExampleWorkflow class FuzziMossWeaverTest(unittest.TestCase): def setUp(self): self.environment = list() self.target = ExampleWorkflow(self.environment) def test_identity(self): test_advice = { ExampleWorkflow.method_for_fuzzing: identity } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEquals([1, 2, 3], self.environment) def test_remove_last_step(self): test_advice = { ExampleWorkflow.method_for_fuzzing: remove_last_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([1, 2], self.environment) def test_remove_last_step_twice(self): test_advice = { ExampleWorkflow.method_for_fuzzing: remove_last_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.target.method_for_fuzzing() self.assertEqual([1, 2, 1, 2], self.environment) def test_duplicate_last_step(self): test_advice = { ExampleWorkflow.method_for_fuzzing: duplicate_last_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([1, 2, 3, 3], self.environment) def test_remove_random_step(self): fm.pydysofu_random.sample = Mock(side_effect=[[1]]) test_advice = { ExampleWorkflow.method_for_fuzzing: remove_random_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([1, 3], self.environment) def test_remove__random_step_twice(self): fm.pydysofu_random.sample = Mock(side_effect=[[1], [2]]) test_advice = { ExampleWorkflow.method_for_fuzzing: remove_random_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.target.method_for_fuzzing() self.assertEqual([1, 3, 1, 2], self.environment) def test_replace_all_steps_with_pass_in_random_sequence(self): fm.pydysofu_random.sample = Mock(side_effect=[[0], [1], [2]]) test_advice = { ExampleWorkflow.method_for_fuzzing: in_sequence([remove_random_step, remove_random_step, remove_random_step]) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([], self.environment) def test_remove_all_steps(self): test_advice = { ExampleWorkflow.method_for_fuzzing: in_sequence([remove_last_step, remove_last_step, remove_last_step]) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([], self.environment) def test_shuffle_steps(self): def mock_random_shuffle(iterable): iterable[0], iterable[1], iterable[2] = iterable[2], iterable[0], iterable[1] fm.pydysofu_random.shuffle = Mock(side_effect=mock_random_shuffle) test_advice = { ExampleWorkflow.method_for_fuzzing: shuffle_steps } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([3, 1, 2], self.environment) def test_swap_if_blocks(self): test_advice = { ExampleWorkflow.method_containing_if: swap_if_blocks } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_if() self.assertEqual([2], self.environment) def test_choose_from(self): fm.pydysofu_random.uniform = Mock(side_effect=[0.75, 0.75]) test_advice = { ExampleWorkflow.method_for_fuzzing: choose_from([(0.5, identity), (0.5, remove_last_step)]) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.target.method_for_fuzzing() self.assertEqual([1, 2, 1, 2], self.environment) def test_in_sequence(self): test_advice = { ExampleWorkflow.method_for_fuzzing: in_sequence([remove_last_step, remove_last_step]) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([1], self.environment) def test_on_condition_that(self): test_advice = { ExampleWorkflow.method_for_fuzzing: on_condition_that(True, remove_last_step) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([1, 2], self.environment) def test_on_condition_that_with_function(self): test_advice = { ExampleWorkflow.method_for_fuzzing: on_condition_that(lambda: False, remove_last_step) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEqual([1, 2, 3], self.environment) def test_replace_condition(self): test_advice = { ExampleWorkflow.method_containing_if: replace_condition_with('1 is 2') } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_if() self.assertEquals([2], self.environment) def test_replace_condition_with_function(self): test_advice = { ExampleWorkflow.method_containing_if: replace_condition_with(lambda: False) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_if() self.assertEquals([2], self.environment) def test_replace_condition_with_literal(self): test_advice = { ExampleWorkflow.method_containing_if: replace_condition_with(False) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_if() self.assertEquals([2], self.environment) pass def test_make_nested_fuzzing_call(self): test_advice = { ExampleWorkflow.make_nested_fuzzing_call: remove_last_step, ExampleWorkflow.nested_method_call: remove_last_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.make_nested_fuzzing_call() self.assertEquals([1, 3], self.environment) def test_replace_iterator(self): test_advice = { ExampleWorkflow.method_containing_iterator: replace_for_iterator_with([3, 2, 1]) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_iterator() self.assertEquals([3, 2, 1], self.environment) def test_apply_fuzzer_to_nested_statements(self): test_advice = { ExampleWorkflow.method_containing_for_and_nested_try: recurse_into_nested_steps(remove_last_step, target_structures={ast.For, ast.TryExcept}) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_for_and_nested_try() self.assertEquals([0, 1, 2, 7], self.environment) pass def test_mangled_function_excluding_control_structures(self): test_advice = { ExampleWorkflow.method_containing_if_followed_by_for: filter_steps(exclude_control_structures({ast.For}), remove_last_step) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_if_followed_by_for() self.assertEquals([1, 2], self.environment) def test_mangled_function_including_control_structures(self): test_advice = { ExampleWorkflow.method_containing_if_followed_by_for: filter_steps(include_control_structures({ast.For}), remove_last_step) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_containing_if_followed_by_for() self.assertEquals([1], self.environment) def test_mangled_function_invert_filter(self): test_advice = { ExampleWorkflow.method_for_fuzzing_that_returns_4: filter_steps(invert(choose_last_step), replace_steps_with_pass) } fm.fuzz_clazz(ExampleWorkflow, test_advice) result = self.target.method_for_fuzzing_that_returns_4() self.assertEquals(4, result) self.assertEquals(self.environment, []) def test_mangled_function_invert_invert_filter(self): test_advice = { ExampleWorkflow.method_for_fuzzing_that_returns_4: filter_steps(invert(invert(choose_last_step)), replace_steps_with_pass) } fm.fuzz_clazz(ExampleWorkflow, test_advice) result = self.target.method_for_fuzzing_that_returns_4() self.assertEquals(None, result) self.assertEquals(self.environment, [1, 2, 3]) def test_fuzzing_class_method(self): test_advice = { ExampleWorkflow.example_class_method: remove_last_step } fm.fuzz_clazz(ExampleWorkflow, test_advice) result = self.target.example_class_method() self.assertEquals(None, result) def test_insert_code(self): test_advice = { ExampleWorkflow.method_for_fuzzing: insert_steps(0, 'self.environment.append(4)') } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEquals(self.environment, [4, 1, 2, 3]) def test_fuzz_specific_object(self): test_advice = { ExampleWorkflow.method_for_fuzzing: filter_context( [(lambda context: hasattr(context, 'name') and context.name == 'a workflow', remove_last_step)] ) } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.target.method_for_fuzzing() self.assertEquals(self.environment, [1, 2, 3]) self.target.name = 'a workflow' self.target.method_for_fuzzing() self.assertEquals(self.environment, [1, 2, 3, 1, 2]) def test_bad_fuzz(self): test_advice = { ExampleWorkflow.method_for_fuzzing: replace_steps_with(0, 3, '4bad_syntax') } fm.fuzz_clazz(ExampleWorkflow, test_advice) self.assertRaises(StandardError, self.target.method_for_fuzzing) if __name__ == '__main__': unittest.main()

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null

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null

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7ee1cea292fb458c52322f948a80cf00ff833b01

176

py

Python

tkgeom/__init__.py

ezsolti/TKworkshop

d6e0d6f67cd21b58238ab1651256c9a1ce474ff1

[ "MIT" ]

null

tkgeom/__init__.py

ezsolti/TKworkshop

d6e0d6f67cd21b58238ab1651256c9a1ce474ff1

[ "MIT" ]

null

tkgeom/__init__.py

ezsolti/TKworkshop

d6e0d6f67cd21b58238ab1651256c9a1ce474ff1

[ "MIT" ]

null

__package__ = 'tkgeom' __title__ = 'tkgeom' __description__ = '2D geometry module as an example for the TK workshop' __copyright__ = '2019, Zs. Elter' __version__ = '1.0.0'

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null

0

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7eefe9b70bf2e476fb8c24ccf757773ec8b67549

383

py

Python

powerline/matchers/vim/plugin/commandt.py

MrFishFinger/powerline

361534bafecf836e100eaff257c93eb4805f48db

[ "MIT" ]

11,435

2015-01-01T03:32:34.000Z

2022-03-31T20:39:05.000Z

powerline/matchers/vim/plugin/commandt.py

ritiek/powerline

82c1373ba0b424c57e8c12cb5f6f1a7ee3829c27

[ "MIT" ]

879

2015-01-02T11:59:30.000Z

2022-03-24T09:52:17.000Z

powerline/matchers/vim/plugin/commandt.py

ritiek/powerline

82c1373ba0b424c57e8c12cb5f6f1a7ee3829c27

[ "MIT" ]

1,044

2015-01-05T22:37:53.000Z

2022-03-17T19:43:16.000Z

# vim:fileencoding=utf-8:noet from __future__ import (unicode_literals, division, absolute_import, print_function) import os from powerline.bindings.vim import vim_getbufoption, buffer_name def commandt(matcher_info): name = buffer_name(matcher_info) return ( vim_getbufoption(matcher_info, 'filetype') == 'command-t' or (name and os.path.basename(name) == b'GoToFile') )

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null

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null

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1

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2

7ef1af37ee7131adc61cc8f8405e7e6caff77fbc

69

py

Python

WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_String_ljust()_1.txt.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

5

2021-06-02T23:44:25.000Z

2021-12-27T16:21:57.000Z

WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_String_ljust()_1.txt.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

22

2021-05-31T01:33:25.000Z

2021-10-18T18:32:39.000Z

WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/mini-scripts/Python_String_ljust()_1.txt.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

3

2021-06-19T03:37:47.000Z

2021-08-31T00:49:51.000Z

txt = "banana" x = txt.ljust(20) print(x, "is my favorite fruit.")

11.5

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null

0

1

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null

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7d057a59fb001f5f1abe0ba471cb9906cc6c9863

2,817

py

Python

add_new_group.py

AnnaWyszomirska/test

45b7b441cfb4924ca99910d3ee13893da1c7fcba

[ "Apache-2.0" ]

null

add_new_group.py

AnnaWyszomirska/test

45b7b441cfb4924ca99910d3ee13893da1c7fcba

[ "Apache-2.0" ]

null

add_new_group.py

AnnaWyszomirska/test

45b7b441cfb4924ca99910d3ee13893da1c7fcba

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from selenium.webdriver.chrome.webdriver import WebDriver from group import Group import unittest def is_alert_present(wd): try: wd.switch_to_alert().text return True except: return False class test_add_new_group (unittest.TestCase): def setUp(self): self.wd = WebDriver(executable_path="C:\\chromedriver_win32\\chromedriver.exe") self.wd.implicitly_wait(60) def open_homepage(self, wd): wd.get("http://localhost/addressbook/addressbook/") def login(self, wd, username, password): wd.find_element_by_name("user").click() wd.find_element_by_name("user").clear() wd.find_element_by_name("user").send_keys(username) wd.find_element_by_name("pass").click() wd.find_element_by_name("pass").clear() wd.find_element_by_name("pass").send_keys(password) wd.find_element_by_xpath("//form[@id='LoginForm']/input[3]").click() def open_group_page(self, wd): wd.find_element_by_link_text("grupy").click() def add_new_group(self, wd, group): wd.find_element_by_name("new").click() wd.find_element_by_name("group_name").click() wd.find_element_by_name("group_name").clear() wd.find_element_by_name("group_name").send_keys(group.header) wd.find_element_by_name("group_header").click() wd.find_element_by_name("group_header").clear() wd.find_element_by_name("group_header").send_keys(group.name) wd.find_element_by_name("group_footer").click() wd.find_element_by_name("group_footer").clear() wd.find_element_by_name("group_footer").send_keys(group.footer) # submit group creation wd.find_element_by_name("submit").click() def return_to_group_page(self, wd): wd.find_element_by_link_text("group page").click() def logout(self, wd): wd.find_element_by_link_text("Wyloguj się").click() def test_add_full_group(self): success = True wd = self.wd self.open_homepage(wd) self.login(wd, username="admin", password="secret") self.open_group_page(wd) self.add_new_group(wd, Group(header="New group", name="New group", footer="New group")) self.return_to_group_page(wd) self.logout(wd) self.assertTrue(success) def test_add_empty_group(self): success = True wd = self.wd self.open_homepage(wd) self.login(wd, username="admin", password="secret") self.open_group_page(wd) self.add_new_group(wd, Group(header="", name="", footer="")) self.return_to_group_page(wd) self.logout(wd) self.assertTrue(success) def tearDown(self): self.wd.quit() if __name__ == '__main__': unittest.main()

35.2125

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0.214286

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null

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null

0

1

0

2

7d06fe7ac919f2b4e7d25bf0fb5436d1047d7f35

1,393

py

Python

scripts_Utility/configure_training_subjects.py

mcarlosfr/Data-digging

6e9dc5db6f6125316616c4b04ae5fc4223826a25

[ "MIT" ]

40

2016-05-17T10:53:28.000Z

2022-02-08T05:02:21.000Z

scripts_Utility/configure_training_subjects.py

mcarlosfr/Data-digging

6e9dc5db6f6125316616c4b04ae5fc4223826a25

[ "MIT" ]

29

2016-03-17T03:17:03.000Z

2020-10-01T17:27:59.000Z

scripts_Utility/configure_training_subjects.py

mcarlosfr/Data-digging

6e9dc5db6f6125316616c4b04ae5fc4223826a25

[ "MIT" ]

34

2015-12-04T15:18:12.000Z

2021-08-13T13:35:49.000Z

from panoptes_client import Panoptes, Workflow, SubjectSet ################################### ### Training Subject Configuration Script # Note: in addition to running this script, a Zoo team member must # also configure Caesar and set workflow retirement to `never_retire` # Input Parameters puser = <ZOONIVERSE_USERNAME> ppswd = <ZOONIVERSE_PASSWORD> workflowid = 999999 subjsetids = [888888, 777777] # Define training chances according to your needs. chances = (10 * [0.5]) + (40 * [0.2]) + (50 * [0.1]) default_chance = 0.05 # If training subject metadata needs editing, then enable. edit_metadata = False ################################### Panoptes.connect(username=puser, password=ppswd) w = Workflow.find(workflowid) w.configuration['training_set_ids'] = subjsetids w.configuration['training_default_chance'] = default_chance w.configuration['training_chances'] = chances w.configuration['subject_queue_page_size'] = 4 w.save() if edit_metadata: new_metadata = {"#training_subject": "true"} for ssid in subjsetids: subject_set = SubjectSet.find(ssid) print('Editing metadata for Subject Set #{0}: {1}'.format (subject_set.raw['id'], subject_set.raw['display_name'])) for subject in subject_set.subjects: for key, value in new_metadata.items(): subject.metadata[key]=value subject.save()

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null

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null

0

1

0

1

0

2

7d1679905ffe45718eb7b3f140911ada8f549022

1,311

py

Python

jj/middlewares/_base_middleware.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

null

jj/middlewares/_base_middleware.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

null

jj/middlewares/_base_middleware.py

TeoDV/jj

a58d91ad7b37ba3115daea4890190abede8f3353

[ "Apache-2.0" ]

null

from typing import Type, Union from ..apps import AbstractApp from ..handlers import HandlerFunction from ._abstract_middleware import AbstractMiddleware from ._middleware_type import MiddlewareType __all__ = ("BaseMiddleware", "AppOrHandler",) AppOrHandler = Union[Type[AbstractApp], HandlerFunction] class BaseMiddleware(AbstractMiddleware): def on_app(self, app: Type[AbstractApp]) -> None: pass def on_handler(self, handler: HandlerFunction) -> None: pass def _call_hooks(self, app_or_handler: AppOrHandler) -> None: if isinstance(app_or_handler, type) and issubclass(app_or_handler, AbstractApp): return self.on_app(app_or_handler) return self.on_handler(app_or_handler) def _register_middleware(self, app_or_handler: AppOrHandler, middleware: MiddlewareType) -> None: old_middlewares = self._resolver.get_attribute("middlewares", app_or_handler, []) new_middlewares = old_middlewares + [middleware] self._resolver.register_attribute("middlewares", new_middlewares, app_or_handler) def __call__(self, app_or_handler: AppOrHandler) -> AppOrHandler: self._call_hooks(app_or_handler) self._register_middleware(app_or_handler, self._do) return app_or_handler

36.416667

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148

1,311

6.094595

0.27027

0.066519

0.159645

0.053215

0.093126

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0.186117

1,311

35

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37.457143

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0.08

0.2

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0.56

0

null

0

null

0

1

0

1

0

2

7d2101170a88fb621f8413a8182e367adbd7fbcf

1,118

py

Python

src/headers.py

gupta-siddhartha/MYTH

4a57536ba91e77687fa86e714c06821b275fef7a

[ "MIT" ]

null

src/headers.py

gupta-siddhartha/MYTH

4a57536ba91e77687fa86e714c06821b275fef7a

[ "MIT" ]

null

src/headers.py

gupta-siddhartha/MYTH

4a57536ba91e77687fa86e714c06821b275fef7a

[ "MIT" ]

null

#================================================================= # Useful paths for executing the MYTH # # Written by Siddhartha Gupta # contact: gsiddhartha@uchicago.edu # # Last modified on 17 July 2020 #================================================================= import os import numpy as np import readfile import tools import ytrendering import sys CodeInfo ="\ # ==================================================================\n\ # =============== M Y T H ==================\n\ # ==== Multipurpose YT-rendering code for Hydro-simulations ======\n\ # ==================================================================\n\ # =============== Author: Siddhartha Gupta ==================\n\ # =============== Last modified on 15.07.2020 ==================\n\ # ==================================================================\n" Completion ="\ # ==================================================================\n\ # ======= Thank you for compiling yt using M Y T H ==========\n\ # ==================================================================\n"

36.064516

71

0.297853

76

1,118

4.381579

0.644737

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0.03003

0

0.014418

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1,118

30

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0.333333

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null

0

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0

null

0

1

0

2

7d3941a08ac6ab9d52a0cf0b2d2bcd7ba788a404

899

py

Python

plugins/syslog_forwarder/komand_syslog_forwarder/connection/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/syslog_forwarder/komand_syslog_forwarder/connection/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/syslog_forwarder/komand_syslog_forwarder/connection/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT import komand import json class Input: HOST = "host" PORT = "port" TRANSPORT = "transport" class ConnectionSchema(komand.Input): schema = json.loads(""" { "type": "object", "title": "Variables", "properties": { "host": { "type": "string", "title": "Host", "description": "Syslog Host", "order": 1 }, "port": { "type": "integer", "title": "Port", "description": "Syslog Port", "default": 514, "order": 2 }, "transport": { "type": "string", "title": "Transport", "description": "Protocol Transport", "enum": [ "TCP", "UDP" ], "order": 3 } }, "required": [ "host", "port", "transport" ] } """) def __init__(self): super(self.__class__, self).__init__(self.schema)

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0

0.009852

0.322581

899

51

58

17.627451

0.699507

0.041157

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1

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0.711628

0

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false

0

0.044444

0

0.2

0

null

0

1

0

1

0

null

0

2

7d40cb7ba6dde37868fcb60e13b99c489046be38

3,022

py

Python

twitter_filter/twitter_listener.py

abdulrahimGhazal/twitter_filter

6fb64fd648734c54b4121f85509190f7dedff12c

[ "MIT" ]

null

twitter_filter/twitter_listener.py

abdulrahimGhazal/twitter_filter

6fb64fd648734c54b4121f85509190f7dedff12c

[ "MIT" ]

null

twitter_filter/twitter_listener.py

abdulrahimGhazal/twitter_filter

6fb64fd648734c54b4121f85509190f7dedff12c

[ "MIT" ]

null

# coding=utf-8 """ This module is the implementation of tweepy.StreamListener. This includes handling several events like getting a status through the stream, getting a TweepError, getting an exception, or connecting/disconnecting to the stream. """ import logging from tweepy import StreamListener # This class implements tweepy.StreamListener events. class Listener(StreamListener): """ This class implements every tweepy.StreamListener event. This class handles data, error, exception connection and disconnection events. Attributes: ---------- batcher : Batcher The batcher instance for batch processing. """ def __init__(self, batcher): """ Initializer for Listener class. Parameters ---------- batcher : Batcher The Batcher object. """ self.batcher = batcher logging.basicConfig(filename='twitter_log.log', format='%(asctime)s %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p') super(Listener, self).__init__() def on_status(self, status): """ This function handles status when it is collected from stream. Parameters ---------- status : tweepy.Status The collected status object. Returns ------- """ self.batcher.handle_status(status, self.batcher.config) def on_connect(self): """ This function handles when stream is connected. Parameters ---------- Returns ------- """ logging.getLogger("connection").info("connection established.") def on_disconnect(self, notice): """ This function handles when stream disconnects. Parameters ---------- notice : str The disconnection notice. Returns ------- """ logging.getLogger("connection").info("connection interrupted: " + notice) def on_limit(self, track): """ This function handles when rate limit is hit. Parameters ---------- track : int The total number of undelivered tweets. Returns ------- """ logging.getLogger("limit").info("track limit notice on track: " + str(track)) def on_delete(self, status_id, user_id): """ This function handles when tweet is deleted. Parameters ---------- status_id : int The deleted tweet id. user_id : int The deleted tweet author id. Returns ------- """ logging.getLogger("delete").info("deleted tweet with id: " + str(status_id)) def on_error(self, status_code): """ This function handles when error occurs. Parameters ---------- status_code : int The error code. Returns ------- """ logging.getLogger("error").info("error: " + str(status_code))

21.898551

121

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297

3,022

5.62963

0.353535

0.017943

0.068182

0.06878

0.114833

0.05622

0

0.000486

0.318994

3,022

138

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21.898551

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0

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0

null

0

null

0

1

0

1

0

2

7d4cf3a07f0e444d88eb7fb0c900964a426ae5ae

320

py

Python

blog/forms.py

Ascensiony/Software-Dev-Project

85513737ae4a4b76fa0cfdab579b037d33b72faf

[ "MIT" ]

2

2021-03-05T01:38:24.000Z

2021-03-19T21:11:14.000Z

blog/forms.py

yabhi0807/Software-Dev-Project

85513737ae4a4b76fa0cfdab579b037d33b72faf

[ "MIT" ]

7

2021-04-08T21:12:42.000Z

2022-03-12T00:13:59.000Z

blog/forms.py

venky012/ase-1-site

877e36344c82567d3ebc7b0f29a2757da2a7f071

[ "MIT" ]

4

2020-02-17T09:47:39.000Z

2020-02-22T12:11:18.000Z

from django import forms from .models import Comment, Post class CommentEditForm(forms.Form): text = forms.CharField(max_length=50,required=True) class CommentForm(forms.ModelForm): body = forms.CharField(max_length=5000,required=True) class Meta: model = Comment fields = ('body',)

24.615385

60

0.7

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5.692308

0.615385

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0.153153

0.207207

0

0.023438

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24.615385

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0

0.222222

0

0.777778

0

null

0

1

0

null

0

1

0

2

ada9541f4835ae6a0f9fc9b432f93eaaa59b275e

433

py

Python

boardobj/SkillEffect.py

merfolkslivers/gascan-env

abf2affa5cc72f1696a1376e7940fbde262d2389

[ "MIT" ]

null

boardobj/SkillEffect.py

merfolkslivers/gascan-env

abf2affa5cc72f1696a1376e7940fbde262d2389

[ "MIT" ]

null

boardobj/SkillEffect.py

merfolkslivers/gascan-env

abf2affa5cc72f1696a1376e7940fbde262d2389

[ "MIT" ]

null

from abc import ABC, abstractmethod class SkillEffect(ABC): def __init__(self, **kwargs): self.nextTrigger = None # SkillTrigger if kwargs['trigger']: self.nextTrigger = kwargs['trigger'] @abstractmethod def executeeffect(self, **kwargs): pass def execute(self, **kwargs): events = self.executeeffect(kwargs) self.nextTrigger.checkEligibility(kwargs, events)

24.055556

57

0.646651

42

433

6.571429

0.47619

0.108696

0.152174

0

0.247113

433

17

58

25.470588

0.846626

0.027714

0

0.033413

0

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0.25

false

0.083333

0

0.416667

0

null

0

null

0

1

0

1

0

2

adbd738a20206755aceb2b4469838fae9a525cfc

350

py

Python

flickrTest.py

ciaron/favr3

2fd2279b8fbdb77492b4676f12fb8b67b418ab51

[ "MIT" ]

null

flickrTest.py

ciaron/favr3

2fd2279b8fbdb77492b4676f12fb8b67b418ab51

[ "MIT" ]

null

flickrTest.py

ciaron/favr3

2fd2279b8fbdb77492b4676f12fb8b67b418ab51

[ "MIT" ]

null

from flickrBase import FlickrApiMethod class FlickrTestLogin(FlickrApiMethod): name = 'flickr.test.login' def __init__(self, nojsoncallback=True, format='json', parameters=None): FlickrApiMethod.__init__(self, nojsoncallback, format, parameters) def getParameters(self): p={ #'method' : 'flickr.favorites.getList', } return p

20.588235

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350

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0.839465

0.111429

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0

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0.222222

false

0

0.111111

0

0.666667

0

null

0

null

0

1

0

1

0

2

adbda3bcb21e9465f19fb2d8ad725e1bb71e656d

1,445

py

Python

apiwrapper/api_objects/example_api.py

daxm/apiwrapper

42a15ce6e2d5f06569937d43ea0a479d9b179de4

[ "BSD-3-Clause" ]

null

apiwrapper/api_objects/example_api.py

daxm/apiwrapper

42a15ce6e2d5f06569937d43ea0a479d9b179de4

[ "BSD-3-Clause" ]

null

apiwrapper/api_objects/example_api.py

daxm/apiwrapper

42a15ce6e2d5f06569937d43ea0a479d9b179de4

[ "BSD-3-Clause" ]

1

2019-09-06T16:10:43.000Z

from .apiclasstemplate import APIClassTemplate class Example(APIClassTemplate): """ An example API object. The Example class inherits from the APIClassTemplate all its functions. They can be modified by building a function with the same name here. For example, the format_data() function inherits from the APIClassTemplate's format_data() and then is augmented with the code written here. """ # What extension to the base URL needs to be appended to call this specific API object. URL_SUFFIX = '/object/countries' def __init__(self, server, **kwargs): super().__init__(server, **kwargs) logging.debug("In __init__() for Example class.") self.parse_kwargs(**kwargs) def format_data(self): logging.debug("In format_data() for Example class.") json_data = {} if 'id' in self.__dict__: json_data['id'] = self.id if 'name' in self.__dict__: json_data['name'] = self.name return json_data # If an API method is not supported you can "skip" the APIClassTemplate's version by adding a "pass" here. def post(self): logging.info('POST method for API for Example not supported.') pass def put(self): logging.info('POST method for API for Example not supported.') pass def delete(self): logging.info('POST method for API for Example not supported.') pass

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0.230022

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0.344637

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0.125

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null

0

null

0

1

0

1

0

2

adc1731523b9b945d161208b826c235c2d160ab2

938

py

Python

jupyter/aBasic/e_file_class/Ex09_reg_method.py

WoolinChoi/test

a0f9c8ecc63443acaae61d744eecec6c943d3a26

[ "MIT" ]

null

jupyter/aBasic/e_file_class/Ex09_reg_method.py

WoolinChoi/test

a0f9c8ecc63443acaae61d744eecec6c943d3a26

[ "MIT" ]

1

2021-03-30T09:01:47.000Z

jupyter/aBasic/e_file_class/Ex09_reg_method.py

WoolinChoi/test

a0f9c8ecc63443acaae61d744eecec6c943d3a26

[ "MIT" ]

1

2019-12-06T18:21:10.000Z

""" # 패턴과 소스를 비교하는 메소드 - match() : 패턴의 일치여부 확인 - findall() : 일치하는 모든 문자열 리스트 반환 - search() : 첫번째 일치하는 객체 반환 - split() : 패턴에 맞게 소스를 분리한 후 문자열 조각의 리스트 반환 - sub() : 대체 인자로 변환 [참고] 파이썬 정규식 표현 : https://wikidocs.net/4308 """ import re # match() msg = 'We are happy. You are happy. Happy2019 2020' result = re.match("We", msg) if result: print(result.group()) print("-" * 50) result = re.match("happy", msg) if result: print(result.group()) print("-" * 50) result = re.match(".*happy", msg) # 앞에 문자들이 있을때 .*찾는문자열 해준다. if result: print(result.group()) print("-" * 50) # search() result = re.search("happy", msg) # 문자열과 일치하는 것을 찾아준다. if result: print(result.group()) print("-" * 50) # split() result = re.split("a", msg) if result: print(result) # 문자열 기준으로 잘라준다. print("-" * 50) # sub() result = re.sub("a", "@", msg) if result: print(result) # 문자열을 @로 바꿔준다. print("-" * 50)

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adc6492ff5d4355f4f2a6e9aad3bdb8705fba866

225

py

Python

HW01/demo/mapper.py

maynard242/Machine-Learning-At-Scale

00406de025e3a94d3514d056a0ec7d46473444ef

[ "MIT" ]

1

2021-10-03T07:52:32.000Z

HW01/demo/mapper.py

maynard242/Machine-Learning-At-Scale

00406de025e3a94d3514d056a0ec7d46473444ef

[ "MIT" ]

null

HW01/demo/mapper.py

maynard242/Machine-Learning-At-Scale

00406de025e3a94d3514d056a0ec7d46473444ef

[ "MIT" ]

1

2020-01-30T02:59:50.000Z

#!/usr/bin/env python """ This mapper reads from STDIN and waits 0.001 seconds per line. Its only purpose is to demonstrate one of the scalability ideas. """ import sys import time for line in sys.stdin: time.sleep(0.001)

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null

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1

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2

add993b91b9afdde0b899ff3046a1015cd1c19b6

5,525

py

Python

tool/page_access_trace/symtab.py

systems-nuts/popcorn-compiler-alpine

5c225c7d3055db83dc654b6b5525c34bbdacded1

[ "Linux-OpenIB" ]

30

2019-04-07T14:58:31.000Z

2021-05-24T19:07:20.000Z

tool/page_access_trace/symtab.py

XRDevIEEE/popcorn-compiler

2cb2eccc0c75b5963d9fec26ad80a7b881316b1d

[ "Linux-OpenIB" ]

11

2018-07-24T19:31:26.000Z

2020-09-03T08:56:23.000Z

tool/page_access_trace/symtab.py

XRDevIEEE/popcorn-compiler

2cb2eccc0c75b5963d9fec26ad80a7b881316b1d

[ "Linux-OpenIB" ]

17

2018-08-26T12:43:15.000Z

2022-03-18T12:08:40.000Z

''' Symbol table read from the binary. Encapsulates much of the information described in the ELF specification. ''' import bisect from elftools.elf.elffile import ELFFile from elftools.elf.sections import SymbolTableSection class Symbol: ''' A symbol read from the binary's symbol table. Translates ELF-specific information into a query-able API. ''' ''' Symbol types as defined in the ELF specification ''' NoType=0 ObjectType=1 # I.e., static data FunctionType=0 # I.e., code SectionType=3 FileType=4 CommonType=5 TLSType=6 @classmethod def typeNameToInt(cls, name): ''' Convert an ELF symbol type to an integer ''' if name == "STT_OBJECT": return cls.ObjectType elif name == "STT_FUNC": return cls.FunctionType elif name == "STT_SECTION": return cls.SectionType elif name == "STT_FILE": return cls.FileType elif name == "STT_COMMON": return cls.CommonType elif name == "STT_TLS": return cls.TLSType else: return cls.NoType ''' Symbol type getters. ''' def isObject(self): return self.symtype == self.ObjectType def isFunction(self): return self.symtype == self.FunctionType def isSection(self): return self.symtype == self.SectionType def isFile(self): return self.symtype == self.FileType def isCommon(self): return self.symtype == self.CommonType def isTLS(self): return self.symtype == self.TLSType def isData(self): ''' Return whether the symbol is a data object. ''' return self.isObject() or self.isCommon() def isCode(self): ''' Return whether the symbol is a code object. ''' return self.isFunction() ''' Symbol binding type, i.e., symbol visibility ''' LocalBind=0 GlobalBind=1 WeakBind=2 @classmethod def bindNameToInt(cls, name): ''' Convert an ELF symbol bind type to an integer ''' if name == "STB_LOCAL": return cls.LocalBind elif name == "STB_GLOBAL": return cls.GlobalBind elif name == "STB_WEAK": return cls.WeakBind else: return -1 ''' Binding type getters. ''' def isLocal(self): return self.bindtype == self.LocalBind def isGlobal(self): return self.bindtype == self.GlobalBind def isWeak(self): return self.bindtype == self.WeakBind def contains(self, addr): ''' Return whether the symbol contains a given address. ''' if self.addr <= addr and addr < (self.addr + self.size): return True else: return False def __init__(self, name, addr, size, info): ''' Create a symbol using values read from the ELF symbol table. ''' self.name = name self.addr = addr self.size = size self.symtype = Symbol.typeNameToInt(info["type"]) self.bindtype = Symbol.bindNameToInt(info["bind"]) def __lt__(self, other): return self.addr < other.addr class SymbolTable: ''' A symbol table. Duh. ''' def __init__(self, binary, verbose): ''' Read the symbol table from a file. Return true if we parsed it correctly, false otherwise. ''' if verbose: print("-> Parsing symbol table from '{}' <-".format(binary)) with open(binary, 'rb') as binfp: elf = ELFFile(binfp) symtabSection = elf.get_section_by_name(".symtab") assert symtabSection, "No symbol table" self.symbols = {} self.addrs = {} for sym in symtabSection.iter_symbols(): addr = sym["st_value"] size = sym["st_size"] if size == 0: if verbose: print("Skipping zero-size symbol '{}'".format(sym.name)) continue # Unfortunately we may have several symbols at the same address # so we need to maintain a list of symbols per address newSym = Symbol(sym.name, addr, size, sym["st_info"]) self.symbols[sym.name] = newSym if addr not in self.addrs: self.addrs[addr] = [] self.addrs[addr].append(newSym) # Symbols occupy a range of memory rather than a single address, # making symbol lookups based on a faulting address complicated. # Create a list of symbols sorted by starting address to facilitate # a hybrid binary search + range check approach for symbol lookup. self.sortedaddrs = sorted(self.addrs.keys()) if verbose: print("Parsed {} symbols".format(len(self.symbols))) def getSymbol(self, addr): ''' Look up the symbol containing the faulting address. Because symbols occupy a range of memory, we can't simply use a hash table to map addresses to symbols. Instead, we need an ordering, so that we can determine the symbol whose starting address is directly before or equal to the faulting address. Once we find this symbol (if it exists), we can do a simple range check to see if the symbol contains the faulting address. Returns the Symbol object corresponding to the faulting address, or None if the address doesn't correspond to any symbol. ''' idx = bisect.bisect_right(self.sortedaddrs, addr) if idx != 0: for sym in self.addrs[self.sortedaddrs[idx-1]]: if sym.contains(addr): return sym else: return None

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null

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null

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1

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ade040490fd6f20cffa7656cac6868faed0f5b05

154

py

Python

2021-04-Python-SEA-ENGRSL-Workshops/Workshop_3-Python-in-Security/code/s05a_s0.py

shawnduong/manimations

1d36d9d1e7dff90a1a8da1e687ef442f750e29c5

[ "MIT" ]

null

2021-04-Python-SEA-ENGRSL-Workshops/Workshop_3-Python-in-Security/code/s05a_s0.py

shawnduong/manimations

1d36d9d1e7dff90a1a8da1e687ef442f750e29c5

[ "MIT" ]

null

2021-04-Python-SEA-ENGRSL-Workshops/Workshop_3-Python-in-Security/code/s05a_s0.py

shawnduong/manimations

1d36d9d1e7dff90a1a8da1e687ef442f750e29c5

[ "MIT" ]

null

def functionName(p_1, p_2, p_3, ..., p_n): Instructions... return o_1, o_2, o_3, ..., o_m v_1, v_2, v_3, ..., v_m = functionName(i_1, i_2, i_3, i_n)

19.25

58

0.603896

37

154

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0.181818

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0

null

0

1

0

null

0

1

0

2

ade297575a808ca4ab0fe546b9ccf4bd3ef50b04

20,344

py

Python

tensorflow/core/function/trace_type/default_types.py

huzq85/tensorflow-fork

92f1dd09bef516a6eb0ad6be6833f28785ef2be8

[ "Apache-2.0" ]

null

tensorflow/core/function/trace_type/default_types.py

huzq85/tensorflow-fork

92f1dd09bef516a6eb0ad6be6833f28785ef2be8

[ "Apache-2.0" ]

null

tensorflow/core/function/trace_type/default_types.py

huzq85/tensorflow-fork

92f1dd09bef516a6eb0ad6be6833f28785ef2be8

[ "Apache-2.0" ]

null

# Copyright 2021 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """TraceType implementations for common Python types.""" from typing import Any, Hashable, Optional, Sequence, Type from typing import Dict as PythonDict from typing import Tuple as PythonTuple import weakref from tensorflow.core.function.trace_type import default_types_pb2 from tensorflow.core.function.trace_type import serialization from tensorflow.python.types import trace class Literal(trace.TraceType, serialization.Serializable): """Represents a Literal type like bool, int or string.""" def __init__(self, value: Any): self.value = value self._value_hash = hash(value) def is_subtype_of(self, other: trace.TraceType) -> bool: return self == other def most_specific_common_supertype( self, types: Sequence[trace.TraceType]) -> Optional["Literal"]: return self if all(self == other for other in types) else None @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedLiteral]: return default_types_pb2.SerializedLiteral @classmethod def from_proto(cls, proto: default_types_pb2.SerializedLiteral) -> "Literal": if proto.HasField("bool_value"): return Literal(proto.bool_value) if proto.HasField("int_value"): return Literal(proto.int_value) if proto.HasField("float_value"): return Literal(proto.float_value) if proto.HasField("str_value"): return Literal(proto.str_value) raise ValueError("Malformed Literal proto can not be deserialized") def to_proto(self) -> default_types_pb2.SerializedLiteral: if isinstance(self.value, bool): return default_types_pb2.SerializedLiteral(bool_value=self.value) if isinstance(self.value, int): return default_types_pb2.SerializedLiteral(int_value=self.value) if isinstance(self.value, float): return default_types_pb2.SerializedLiteral(float_value=self.value) if isinstance(self.value, str): return default_types_pb2.SerializedLiteral(str_value=self.value) raise ValueError("Can not serialize Literal of type " + type(self.value).__name__) def _placeholder_value(self) -> Any: return self.value def __eq__(self, other) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented return isinstance(other, Literal) and self.value == other.value def __hash__(self) -> int: return self._value_hash def __repr__(self): return f"{self.__class__.__name__}(value={self.value!r})" class Weakref(trace.TraceType): """Represents weakref of an arbitrary Python object. When a function argument is a custom class, instead of making a copy of it just for the sake of function cache, a weakref is instead kept to save memory. """ def __init__(self, ref: weakref.ReferenceType): self._ref = ref self._ref_hash = hash(ref) def is_subtype_of(self, other: trace.TraceType) -> bool: return self == other def most_specific_common_supertype( self, types: Sequence[trace.TraceType]) -> Optional["Weakref"]: return self if all(self == other for other in types) else None def _placeholder_value(self) -> Any: return self._ref() def __eq__(self, other): if not isinstance(other, trace.TraceType): return NotImplemented if not isinstance(other, Weakref): return False if self._ref() is None or other._ref() is None: return False if self._ref() is other._ref(): return True return self._ref == other._ref def __hash__(self): return self._ref_hash def __repr__(self): return f"{self.__class__.__name__}(ref={self._ref!r})" class Tuple(trace.TraceType, serialization.Serializable): """Represents a tuple of TraceType objects.""" def __init__(self, *components: trace.TraceType): self.components = components def is_subtype_of(self, other: trace.TraceType) -> bool: if (not isinstance(other, Tuple) or len(self.components) != len(other.components)): return False return all( self_component.is_subtype_of(other_component) for self_component, other_component in zip(self.components, other.components)) def most_specific_common_supertype( self, others: Sequence[trace.TraceType]) -> Optional["Tuple"]: """See base class.""" if not all( isinstance(other, Tuple) and len(self.components) == len(other.components) for other in others): return None supertyped_components = [] for i, component in enumerate(self.components): supertyped_component = component.most_specific_common_supertype( [other.components[i] for other in others]) if supertyped_component is None: return None supertyped_components.append(supertyped_component) return Tuple(*supertyped_components) @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedTuple]: return default_types_pb2.SerializedTuple @classmethod def from_proto(cls, proto: default_types_pb2.SerializedTuple) -> "Tuple": return Tuple(*[serialization.deserialize(c) for c in proto.components]) def to_proto(self) -> default_types_pb2.SerializedTuple: return default_types_pb2.SerializedTuple( components=[serialization.serialize(c) for c in self.components]) def _placeholder_value(self) -> Any: components = [ component._placeholder_value() # pylint: disable=protected-access for component in self.components ] return tuple(components) def __eq__(self, other: Any) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented if not isinstance(other, Tuple): return False return self.components == other.components def __hash__(self) -> int: return hash(self.components) def __repr__(self): return f"Tuple(components={self.components!r})" class List(trace.TraceType, serialization.Serializable): """Represents a list of TraceType objects.""" def __init__(self, *components: trace.TraceType): self.components_tuple = Tuple(*components) def is_subtype_of(self, other: trace.TraceType) -> bool: if not isinstance(other, List): return False return self.components_tuple.is_subtype_of(other.components_tuple) def most_specific_common_supertype( self, others: Sequence[trace.TraceType]) -> Optional["Tuple"]: """See base class.""" if not all(isinstance(other, List) for other in others): return None supertyped_components_tuple = self.components_tuple.most_specific_common_supertype( [other.components_tuple for other in others]) if supertyped_components_tuple is None: return None return List(*supertyped_components_tuple.components) @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedList]: return default_types_pb2.SerializedList @classmethod def from_proto(cls, proto: default_types_pb2.SerializedList) -> "List": return List(*Tuple.from_proto(proto.components_tuple).components) def to_proto(self) -> default_types_pb2.SerializedList: return default_types_pb2.SerializedList( components_tuple=self.components_tuple.to_proto()) def _placeholder_value(self) -> Any: return list(self.components_tuple._placeholder_value()) # pylint: disable=protected-access def __eq__(self, other: Any) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented if not isinstance(other, List): return False return self.components_tuple == other.components_tuple def __hash__(self) -> int: return hash(self.components_tuple) def __repr__(self): return f"List(components={self.components_tuple.components!r})" class NamedTuple(trace.TraceType, serialization.Serializable): """Represents a NamedTuple of TraceType objects.""" def __init__(self, type_name: str, attribute_names: PythonTuple[str], attributes: PythonTuple[trace.TraceType], placeholder_type: Optional[Type[Any]] = None): self.type_name = type_name self.attribute_names = attribute_names self.attributes = Tuple(*attributes) self._placeholder_type = placeholder_type @classmethod def from_type_and_attributes( cls, named_tuple_type: Any, attributes: PythonTuple[trace.TraceType]) -> "NamedTuple": return NamedTuple(named_tuple_type.__name__, named_tuple_type._fields, attributes, named_tuple_type) def is_subtype_of(self, other: trace.TraceType) -> bool: if not isinstance(other, NamedTuple): return False return (self.type_name == other.type_name and self.attribute_names == other.attribute_names and self.attributes.is_subtype_of(other.attributes)) def most_specific_common_supertype( self, others: Sequence[trace.TraceType]) -> Optional["NamedTuple"]: """See base class.""" if not all( isinstance(other, NamedTuple) and self.type_name == other.type_name and self.attribute_names == other.attribute_names for other in others): return None supertyped_attributes = self.attributes.most_specific_common_supertype( [other.attributes for other in others]) if supertyped_attributes is None: return None return NamedTuple(self.type_name, self.attribute_names, supertyped_attributes.components, self._placeholder_type) @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedNamedTuple]: return default_types_pb2.SerializedNamedTuple @classmethod def from_proto(cls, proto: default_types_pb2.SerializedNamedTuple) -> "NamedTuple": return NamedTuple(proto.type_name, tuple(proto.attribute_names), Tuple.from_proto(proto.attributes).components) def to_proto(self) -> default_types_pb2.SerializedNamedTuple: return default_types_pb2.SerializedNamedTuple( type_name=self.type_name, attribute_names=list(self.attribute_names), attributes=self.attributes.to_proto()) def _placeholder_value(self) -> Any: if self._placeholder_type is None: # We don't need to trace after serialization so it is not needed but we # can generate a placeholder type using the description if ever needed. raise ValueError("Can not generate placeholder value for NamedTuple with" " unspecified placeholder_type. Note: placeholder_type " "is lost during serialization.") attribute_placeholders = [ attribute._placeholder_value() # pylint: disable=protected-access for attribute in self.attributes.components ] return self._placeholder_type(*attribute_placeholders) def __hash__(self) -> int: return hash((self.type_name, self.attribute_names, self.attributes)) def __eq__(self, other: Any) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented if not isinstance(other, NamedTuple): return False return (self.type_name == other.type_name and self.attribute_names == other.attribute_names and self.attributes == other.attributes) def __repr__(self): return (f"NamedTuple(type_name={self.type_name}, " f"attribute_names={self.attribute_names}, " f"attributes={self.attributes.components})") class Attrs(trace.TraceType): """Represents a class annotated by attr.s.""" def __init__(self, type_name: str, attribute_names: PythonTuple[str], attributes: PythonTuple[trace.TraceType], placeholder_type: Optional[Type[Any]] = None): self.named_attributes = NamedTuple(type_name, attribute_names, attributes) self._placeholder_type = placeholder_type @classmethod def from_type_and_attributes( cls, attrs_type: Any, attributes: PythonTuple[trace.TraceType]) -> "Attrs": return Attrs(attrs_type.__name__, tuple(attr.name for attr in attrs_type.__attrs_attrs__), attributes, attrs_type) def is_subtype_of(self, other: trace.TraceType) -> bool: if not isinstance(other, Attrs): return False return self.named_attributes.is_subtype_of(other.named_attributes) def most_specific_common_supertype( self, others: Sequence[trace.TraceType]) -> Optional["Attrs"]: """See base class.""" if not all(isinstance(other, Attrs) for other in others): return None supertyped_attributes = self.named_attributes.most_specific_common_supertype( [other.named_attributes for other in others]) if supertyped_attributes is None: return None return Attrs(self.named_attributes.type_name, self.named_attributes.attribute_names, supertyped_attributes.attributes, self._placeholder_type) @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedAttrs]: return default_types_pb2.SerializedAttrs @classmethod def from_proto(cls, proto: default_types_pb2.SerializedAttrs) -> "Attrs": return Attrs(proto.named_attributes.type_name, tuple(proto.named_attributes.attribute_names), Tuple.from_proto(proto.named_attributes.attributes).components) def to_proto(self) -> default_types_pb2.SerializedAttrs: return default_types_pb2.SerializedAttrs( named_attributes=self.named_attributes.to_proto()) def _placeholder_value(self) -> Any: if self._placeholder_type is None: # We don't need to trace after serialization so it is not needed but we # can generate a placeholder type using the description if ever needed. raise ValueError("Can not generate placeholder value for Attrs with" " unspecified placeholder_type. Note: placeholder_type " "is lost during serialization.") attribute_placeholders = [ attribute._placeholder_value() # pylint: disable=protected-access for attribute in self.named_attributes.attributes.components ] return self._placeholder_type(*attribute_placeholders) def __hash__(self) -> int: return hash(self.named_attributes) def __eq__(self, other: Any) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented if not isinstance(other, Attrs): return False return self.named_attributes == other.named_attributes def __repr__(self): return (f"Attrs(type_name={self.named_attributes.type_name}, " f"attribute_names={self.named_attributes.attribute_names}, " f"attributes={self.named_attributes.attributes.components})") class Dict(trace.TraceType, serialization.Serializable): """Represents a dictionary of TraceType objects. Attributes: mapping: A mapping from keys to corresponding TraceTypes of the dict values. """ def __init__(self, mapping: PythonDict[Hashable, trace.TraceType]): self.mapping = mapping def _has_same_structure(self, other): if not isinstance(other, Dict): return False return self.mapping.keys() == other.mapping.keys() def is_subtype_of(self, other: trace.TraceType) -> bool: """See base class.""" if not self._has_same_structure(other): return False # We need all keys to be present because there can be logic relying on # their existence or lack thereof and hence can not guarantee subtype based # on a subset or superset of keys. # Only the tracing code can explicitly check for key dependencies and inform # that decision. return all(self.mapping[key].is_subtype_of(other.mapping[key]) for key in self.mapping) def most_specific_common_supertype( self, types: Sequence[trace.TraceType]) -> Optional["Dict"]: """See base class.""" if not all(self._has_same_structure(other) for other in types): return None new_mapping = {} for key in self.mapping.keys(): common = self.mapping[key].most_specific_common_supertype( [other.mapping[key] for other in types]) if common is None: return None else: new_mapping[key] = common return Dict(new_mapping) @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedDict]: return default_types_pb2.SerializedDict @classmethod def from_proto(cls, proto: default_types_pb2.SerializedDict) -> "Dict": return Dict({ Literal.from_proto(k).value: serialization.deserialize(v) for k, v in zip(proto.keys, proto.values) }) def to_proto(self) -> default_types_pb2.SerializedDict: return default_types_pb2.SerializedDict( keys=[Literal(k).to_proto() for k in self.mapping.keys()], values=[serialization.serialize(v) for v in self.mapping.values()]) def _placeholder_value(self) -> Any: return { key: value._placeholder_value() # pylint: disable=protected-access for key, value in self.mapping.items() } def __eq__(self, other) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented if not isinstance(other, Dict): return False return self.mapping == other.mapping def __hash__(self) -> int: return hash(frozenset(self.mapping.keys())) def __repr__(self): return f"{self.__class__.__name__}(mapping={self.mapping!r})" class Reference(trace.TraceType, serialization.Serializable): """Represents a resource with an identifier. Resource identifiers are useful to denote identical resources, that is, resources which are known at compilation time to point to the same thing. This information is useful in automatic control dependencies for instance, where ops using the same resource don't run concurrently. """ def __init__(self, base: trace.TraceType, identifier: Hashable): self.base = base self.identifier = identifier def is_subtype_of(self, other: trace.TraceType) -> bool: if isinstance(other, Reference) and self.identifier == other.identifier: return self.base.is_subtype_of(other.base) return False def most_specific_common_supertype( self, types: Sequence[trace.TraceType]) -> Optional["Reference"]: if all( isinstance(other, Reference) and self.identifier == other.identifier for other in types): base_supertype = self.base.most_specific_common_supertype( [other.base for other in types]) if base_supertype is not None: return Reference(base_supertype, self.identifier) return None @classmethod def type_proto(cls) -> Type[default_types_pb2.SerializedReference]: return default_types_pb2.SerializedReference @classmethod def from_proto(cls, proto: default_types_pb2.SerializedReference) -> "Reference": return Reference( serialization.deserialize(proto.base), Literal.from_proto(proto.identifier).value) def to_proto(self) -> default_types_pb2.SerializedReference: return default_types_pb2.SerializedReference( identifier=Literal(self.identifier).to_proto(), base=serialization.serialize(self.base)) def _placeholder_value(self) -> Any: return self.base._placeholder_value() # pylint: disable=protected-access def __eq__(self, other: Any) -> bool: if not isinstance(other, trace.TraceType): return NotImplemented return isinstance( other, Reference ) and self.identifier == other.identifier and self.base == other.base def __hash__(self) -> int: return hash((self.identifier, self.base)) def __repr__(self): return (f"{self.__class__.__name__}(base={self.base!r}, " f"identifier={self.identifier!r})")

34.657581

95

0.709595

2,499

20,344

5.546619

0.104842

0.040401

0.042205

0.027415

0.646274

0.577375

0.500036

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0.427314

0.328043

0

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0.194554

20,344

586

96

34.716724

0.843037

0.11974

0

0.394402

0

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0

1

0.203562

false

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0.017812

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0.526718

0

null

0

null

0

1

0

1

0

2

adef7c269e8dee7e0f7b6ed34e5c45bb438aef06

413

py

Python

pytpp/attributes/capi_trust_store.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

4

2022-02-04T23:58:55.000Z

2022-02-15T18:53:08.000Z

pytpp/attributes/capi_trust_store.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

pytpp/attributes/capi_trust_store.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

from pytpp.attributes._helper import IterableMeta, Attribute from pytpp.attributes.certificate_trust_store_base import CertificateTrustStoreBaseAttributes class CAPITrustStoreAttributes(CertificateTrustStoreBaseAttributes, metaclass=IterableMeta): __config_class__ = "CAPI Trust Store" log_windows_events = Attribute('Log Windows Events') trust_store_name = Attribute('Trust Store Name', min_version='20.1')

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0.118343

0.112426

0

0.007895

0.079903

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51.625

0.881579

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null

0

1

0

null

0

1

0

2

adf404f9175a8fe2cbcdd2b0272ea08c44a9ab89

1,498

py

Python

covid19vaccini/Covid19Vaccini.py

reale/covid19vaccini

4b0158705fa7c71349ef63417a63ab32d521e175

[ "MIT" ]

1

2021-02-01T11:34:23.000Z

covid19vaccini/Covid19Vaccini.py

reale/covid19vaccini

4b0158705fa7c71349ef63417a63ab32d521e175

[ "MIT" ]

null

covid19vaccini/Covid19Vaccini.py

reale/covid19vaccini

4b0158705fa7c71349ef63417a63ab32d521e175

[ "MIT" ]

null

#!/usr/bin/env python # Covid19Vaccini # # Consumes open data about Covid-19 in Italy import urllib.request, urllib.parse, json import pandas as pd BASE_URL = 'https://github.com/italia/covid19-opendata-vaccini/blob/master/dati/' class Covid19Vaccini(object): def __build_url(self, url): url = urllib.parse.urljoin(BASE_URL, url) return '{}?{}'.format(url, 'raw=true') def __getter(self, url): with urllib.request.urlopen(self.__build_url(url)) as u: data = json.loads(u.read().decode()) df = pd.DataFrame(pd.json_normalize(data, 'data')) return df @property def anagrafica_vaccini_summary_latest(self): return self.__getter('anagrafica-vaccini-summary-latest.json') @property def consegne_vaccini_latest(self): return self.__getter('consegne-vaccini-latest.json') @property def last_update_dataset(self): return self.__getter('last-update-dataset.json') @property def punti_somministrazione_latest(self): return self.__getter('punti-somministrazione-latest.json') @property def somministrazioni_vaccini_latest(self): return self.__getter('somministrazioni-vaccini-latest.json') @property def somministrazioni_vaccini_summary_latest(self): return self.__getter('somministrazioni-vaccini-summary-latest.json') @property def vaccini_summary_latest(self): return self.__getter('vaccini-summary-latest.json')

29.372549

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1,498

5.577778

0.355556

0.076693

0.09761

0.139442

0.421315

0.36753

0.191235

0

0.006568

0.186916

1,498

50

82

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0.817734

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false

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0

null

0

null

0

1

0

1

0

2

adf4865a0a2923c280dbc5a11b8d32958670d739

779

py

Python

server/src/api/usecases/user.py

Mokumoku-Rin/client

7352c651edff79a28a0056d60d483a1753a7354d

[ "Apache-2.0" ]

null

server/src/api/usecases/user.py

Mokumoku-Rin/client

7352c651edff79a28a0056d60d483a1753a7354d

[ "Apache-2.0" ]

109

2020-03-02T08:44:44.000Z

2022-02-27T00:32:30.000Z

server/src/api/usecases/user.py

Mokumoku-Rin/client

7352c651edff79a28a0056d60d483a1753a7354d

[ "Apache-2.0" ]

1

2020-03-19T06:13:33.000Z

from db.user import (get_user, get_user_score, get_users_name_img_by_score_and_course_done, insert_user) def is_existed_user(uid): user = get_user(uid) if user: return True return False def add_user(uid, name, img_url): insert_user(uid, name, img_url) def get_user_list_by_score_close(user_score: str, course_id: str) -> list: """ ユーザスコアが近く，かつ指定のコースIDを走ったユーザの情報リストをゴースト用に整形して返す Parameters ---------- user_score : 対象ユーザのスコア course_id : 対象コースID Returns ------- user_list : list [ {id: str, name: str, img_url: str ] """ user_list = get_users_name_img_by_score_and_course_done( user_score, course_id, 7) return user_list

22.257143

78

0.621309

101

779

4.376238

0.346535

0.063348

0.049774

0.067873

0.235294

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0

0.001805

0.288832

779

34

79

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0.796029

0.287548

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0.230769

false

0

0.076923

0

0.538462

0

null

0

null

0

1

0

1

0

2

bc00c08f97917ad1a41181c83f9245ce800c3102

238

py

Python

INF1511/Chapter2/Arithmetic/octhex.py

GalliWare/UNISA-studies

32bab94930b176c4dfe943439781ef102896fab5

[ "Unlicense" ]

null

INF1511/Chapter2/Arithmetic/octhex.py

GalliWare/UNISA-studies

32bab94930b176c4dfe943439781ef102896fab5

[ "Unlicense" ]

null

INF1511/Chapter2/Arithmetic/octhex.py

GalliWare/UNISA-studies

32bab94930b176c4dfe943439781ef102896fab5

[ "Unlicense" ]

null

# example of how to display octal and hexa values a = 0o25 b = 0x1af print('Value of a in decimal is ', a) c = 19 print('19 in octal is %o and in hex is %x' % (c, c)) d = oct(c) e = hex(c) print('19 in octal is', d, ' and in hex is ', e)

23.8

52

0.613445

53

238

2.754717

0.490566

0.09589

0.123288

0.191781

0.219178

0

0.061111

0.243697

238

9

53

26.444444

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0.026455

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1

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0

null

0

1

0

1

0

null

0

2

70ab0a1afd22c374956e4726234cf6b35e8b124e

190

py

Python

tg_bot/handlers/__init__.py

EeOneDown/spbu4u

2ad01088fb167c80c53b757a0247fc5cde34c20f

[ "Apache-2.0" ]

30

2017-09-14T20:25:43.000Z

2022-03-12T09:55:35.000Z

tg_bot/handlers/__init__.py

EeOneDown/spbu4u

2ad01088fb167c80c53b757a0247fc5cde34c20f

[ "Apache-2.0" ]

59

2018-01-12T18:29:24.000Z

2019-03-08T21:08:40.000Z

tg_bot/handlers/__init__.py

EeOneDown/spbu4u

2ad01088fb167c80c53b757a0247fc5cde34c20f

[ "Apache-2.0" ]

8

2017-12-01T18:36:04.000Z

2020-11-22T00:36:15.000Z

from tg_bot.handlers import ( start, registration, info, main_menu, schedule, attestation, suburbans, editor, rate, other_text, inline_handlers )

13.571429

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190

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0.315789

190

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30

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true

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1

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null

0

null

0

1

0

2

70ac4f5b468110bfb2a7b0ef38994b2f942785de

2,680

py

Python

maze/models.py

Lapin-Blanc/maze_project

00111d9af9b9d2453e8906d73ee788042a4d4ddd

[ "MIT" ]

null

maze/models.py

Lapin-Blanc/maze_project

00111d9af9b9d2453e8906d73ee788042a4d4ddd

[ "MIT" ]

8

2020-10-28T07:25:11.000Z

2021-09-22T19:31:52.000Z

maze/models.py

Lapin-Blanc/maze_project

00111d9af9b9d2453e8906d73ee788042a4d4ddd

[ "MIT" ]

null

# maze.models from django.db import models from django.urls import reverse # Create your models here. class Block(models.Model): name = models.CharField('nom', max_length=50) def __str__(self): return self.name class Pixel(models.Model): name = models.CharField('nom', max_length=20) sprite = models.ImageField('fichier sprites', upload_to='sprites/') downIndex = models.IntegerField('index direction bas', default=8) clockWise = models.BooleanField('rotation horaire', default = True) nbHPix = models.IntegerField('sprites horizontaux', default = 16) nbVPix = models.IntegerField('sprites verticaux', default = 1) icon = models.ImageField('icône', null=True) class Meta: ordering = ['name'] def __str__(self): return self.name class Character(models.Model): name = models.CharField('nom', max_length=20) posX = models.IntegerField('position horizontale', default=0) posY = models.IntegerField('position verticale', default=0) direction = models.CharField('direction', max_length = 5, choices = (('up','haut'),('right','droite'),('down','bas'),('left','gauche')), default='down') pixel = models.ForeignKey(Pixel, verbose_name='pixels', on_delete=models.CASCADE, null=True) niveau = models.ForeignKey('Level', on_delete=models.CASCADE) def get_absolute_url(self): return reverse('maze:char_preview', kwargs={'char_id': self.id}) class Meta: ordering = ['name'] def __str__(self): return self.name class Level(models.Model): name = models.CharField('nom', max_length=50) lvl_map = models.TextField('carte', default= '''[ ["I","H","H","H","H","H","H","H","H","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","_","_","_","_","_","_","_","_","I"], ["I","I","I","I","I","I","I","I","I","I"]]''' ) maxBlocks = models.IntegerField('nombre max de blocs', default=0) blocks = models.ManyToManyField(Block, verbose_name='blocs disponibles') description = models.TextField('Description', default='') class Meta: verbose_name_plural = 'niveaux' ordering = ['name'] def get_absolute_url(self): return reverse('maze:edit', kwargs={'level_id': self.id}) def __str__(self): return self.name

35.263158

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2,680

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97

35.733333

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0.12766

false

0

0.042553

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0.851064

0

null

0

null

0

1

0

2

70b6cf7cd195348264a88860d87973c8ba438e00

1,405

py

Python

app/stops/migrations/0001_initial.py

IvanBodnar/subway-api

36d17533995394fc5a5e6e1707ef312778296869

[ "MIT" ]

null

app/stops/migrations/0001_initial.py

IvanBodnar/subway-api

36d17533995394fc5a5e6e1707ef312778296869

[ "MIT" ]

9

2019-12-04T23:23:07.000Z

2022-02-10T08:12:30.000Z

app/stops/migrations/0001_initial.py

IvanBodnar/subway-api

36d17533995394fc5a5e6e1707ef312778296869

[ "MIT" ]

null

# Generated by Django 2.2.2 on 2019-06-22 18:23 import django.contrib.gis.db.models.fields import django.contrib.postgres.fields from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Stops', fields=[ ('id', models.IntegerField(primary_key=True, serialize=False)), ('tipo', models.CharField(max_length=255, null=True)), ('calle', models.CharField(max_length=255, null=True)), ('numero', models.IntegerField(null=True)), ('entre1', models.CharField(max_length=255, null=True)), ('entre2', models.CharField(max_length=255, null=True)), ('lineas', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ('dir_norm', models.CharField(max_length=255, null=True)), ('metrobus', models.BooleanField()), ('stop_desc', models.CharField(max_length=255, null=True)), ('x', models.FloatField()), ('y', models.FloatField()), ('geom', django.contrib.gis.db.models.fields.PointField(srid=4326)), ('geom_98334', django.contrib.gis.db.models.fields.PointField(srid=98334)), ], ), ]

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null

0

1

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1

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null

0

2

70ca0d38aa043c357a12f9551bd3517fecdfb8ac

1,380

py

Python

thermodynamics.py

BApplB/rocket-nozzle-tools

94f35cefe658a6131cd2f30aad34d031c21de542

[ "MIT" ]

1

2020-07-08T23:51:50.000Z

thermodynamics.py

BApplB/rocket-nozzle-tools

94f35cefe658a6131cd2f30aad34d031c21de542

[ "MIT" ]

null

thermodynamics.py

BApplB/rocket-nozzle-tools

94f35cefe658a6131cd2f30aad34d031c21de542

[ "MIT" ]

null

#rocket-nozzle-tools __author__ = "Ben Appleby" __email__ = "ben.appleby@sky.com","b6040585@my.shu.ac.uk" __copyright__ = "Copyright 2019, Ben Appleby" import math """Common thermodynamics functions""" def x_function(mach,gamma): gp1 = gamma+1 gm1 = gamma-1 return mach*math.sqrt(gamma)*(1+(gm1/2)*mach**2)**(-gp1/(2*gm1)) def pratio(mach,gamma): pressure_ratio = (1+((gamma-1)/2)*mach**2)**(gamma/(gamma-1)) return pressure_ratio def aratio(mach,gamma): area_ratio = ((gamma+1)/2)**(-((gamma+1)/(gamma-1)/2)) / mach * (1 + mach**2 * (gamma-1)/2)**((gamma+1)/(gamma-1)/2) return area_ratio def rhoratio(mach,gamma): rho_ratio = (1+((gamma-1)/2)*mach**2)**(-1/(gamma-1)) return rho_ratio def tratio(mach,gamma): temperature_ratio = (1+((gamma-1)/2)*mach**2)**(-1) return temperature_ratio def pcrit(gamma): pressure_critical = (2/(gamma+1))**(gamma/(gamma-1)) return pressure_critical def calc_oxidizer_temp(chamberPressure,chamberTemp,OxTemp): return (chamberPressure*OxTemp)/chamberTemp def calc_prandtl_meyer_angle(mach,gamma): calc_pm = math.sqrt(gamma+1/gamma-1)*math.atan(math.sqrt((gamma-1/gamma+1)*(mach**2-1)))-math.atan(math.sqrt(mach**2-1)) return calc_pm def sound_speed(gamma,specificgasconstant,temperature): calc_sos = math.sqrt(gamma*specificgasconstant*temperature) return calc_sos

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null

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null

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1

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70ca9d5b222a279ab9a75679628e89575437eb31

494

py

Python

files/migrations/0005_auto_20200406_1634.py

Asko-Dev/File_Upload_RESTAPI

4effc6fa515668a1e6367b0e61ebcf7e21576884

[ "MIT" ]

null

files/migrations/0005_auto_20200406_1634.py

Asko-Dev/File_Upload_RESTAPI

4effc6fa515668a1e6367b0e61ebcf7e21576884

[ "MIT" ]

7

2021-03-19T01:43:12.000Z

2022-03-12T00:22:42.000Z

files/migrations/0005_auto_20200406_1634.py

Asko-Dev/File_Upload_RESTAPI

4effc6fa515668a1e6367b0e61ebcf7e21576884

[ "MIT" ]

null

# Generated by Django 3.0.4 on 2020-04-06 16:34 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('files', '0004_auto_20200406_1631'), ] operations = [ migrations.RemoveField( model_name='fileupload', name='tag', ), migrations.AddField( model_name='fileupload', name='tag', field=models.ManyToManyField(to='files.Tag'), ), ]

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null

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1

0

1

0

null

0

2

70e3040a85bc9e121f7a5949e609a403a5f9d976

700

py

Python

formula/portaudio.py

mfichman/winbrew

26496261753d849d5da2f7d465a62297aef46ac9

[ "MIT" ]

19

2015-03-18T01:11:20.000Z

2021-08-01T18:51:54.000Z

formula/portaudio.py

mfichman/winbrew

26496261753d849d5da2f7d465a62297aef46ac9

[ "MIT" ]

11

2015-12-17T02:13:10.000Z

2017-07-21T14:15:13.000Z

formula/portaudio.py

mfichman/winbrew

26496261753d849d5da2f7d465a62297aef46ac9

[ "MIT" ]

6

2015-05-14T19:50:15.000Z

2020-11-22T08:55:03.000Z

import winbrew class Portaudio(winbrew.Formula): url = 'http://files.portaudio.com/archives/pa_stable_v190700_20210406.tgz' homepage = 'https://portaudio.com' sha1 = 'b7e9b9c53d993f6d110487ef56a3d4529d21b2f1' build_deps = ('cmake',) deps = () def build(self): self.cmake_build('bld') def install(self): self.lib(r'bld\Release\portaudio_x64.dll', 'portaudio_x64.dll') self.lib(r'bld\Release\portaudio_x64.lib', 'portaudio.lib') self.lib(r'bld\Release\portaudio_x64.exp', 'portaudio.exp') self.lib(r'bld\Release\portaudio_static_x64.lib', 'portaudio-static.lib') self.includes('include') def test(self): pass

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false

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null

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null

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1

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1

0

2

70e8d7f3f55df6253fa496ff97f0c1d2e2e32bce

217

py

Python

src/tsadmapi/urls.py

tsadm/webapp

85056841fbaa06de18844630977b163a6a999e8a

[ "BSD-3-Clause" ]

null

src/tsadmapi/urls.py

tsadm/webapp

85056841fbaa06de18844630977b163a6a999e8a

[ "BSD-3-Clause" ]

null

src/tsadmapi/urls.py

tsadm/webapp

85056841fbaa06de18844630977b163a6a999e8a

[ "BSD-3-Clause" ]

null

from django.conf.urls import url, include urlpatterns = [ url(r'^inventory/', include('tsadmapi.inventory.urls', namespace='inventory')), url(r'^slave/', include('tsadmapi.slave.urls', namespace='slave')), ]

31

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6

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0

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false

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0.2

0

1

0

null

0

1

0

null

0

2

cb0b25450f59185ff251a6f6a74d115f93757d51

1,872

py

Python

imix/engine/hooks/base_hook.py

linxi1158/iMIX

af87a17275f02c94932bb2e29f132a84db812002

[ "Apache-2.0" ]

23

2021-06-26T08:45:19.000Z

2022-03-02T02:13:33.000Z

imix/engine/hooks/base_hook.py

XChuanLee/iMIX

99898de97ef8b45462ca1d6bf2542e423a73d769

[ "Apache-2.0" ]

null

imix/engine/hooks/base_hook.py

XChuanLee/iMIX

99898de97ef8b45462ca1d6bf2542e423a73d769

[ "Apache-2.0" ]

9

2021-06-10T02:36:20.000Z

2021-11-09T02:18:16.000Z

import enum from typing import Union @enum.unique class PriorityStatus(enum.Enum): HIGHEST = 0 HIGHER = 10 HIGH = 20 NORMAL = 30 LOW = 40 LOWER = 50 LOWEST = 60 class HookBase: """HookBase is the base class of all hook and is registered in EngineBase class. The subclasses of HookBase implement the following six methods according to needed. :: hook.before_train() for iter in range(start_iter,max_iter): hook.before_train_iter() train.run_train_iter() hook.after_train_iter() hook.after_epoch() hook.after_train() """ def __init__(self): self._level = PriorityStatus.NORMAL def before_train(self): pass def after_train(self): pass def before_train_iter(self): pass def after_train_iter(self): pass def before_train_epoch(self): pass def after_train_epoch(self): pass @property def level(self): return self._level @level.setter def level(self, level: Union[PriorityStatus, str, int]): assert isinstance(level, (PriorityStatus, str, int)) if isinstance(level, PriorityStatus): self._level = level else: level_name = list(PriorityStatus.__members__.keys()) level_value = list(lv.value for lv in PriorityStatus.__members__.values()) if level in level_name or level in level_value: self._level = PriorityStatus[level.upper()] if isinstance(level_name, str) else PriorityStatus(level) else: import logging logger = logging.getLogger(__name__) logger.warning(f'because level{level} is not a PriorityStatus type,it will be set as default type') self._level = PriorityStatus.NORMAL

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224

1,872

4.991071

0.397321

0.048301

0.049195

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1,872

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null

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null

0

1

0

1

0

2

cb0d921c1f1810c2236e77561bf3ae02c1b2eeba

300

py

Python

w3resource/Basics-Part II/Example001.py

DanielPascualSenties/pythonw3

f0355d1b640dec19e0b087797538204332111bb5

[ "MIT" ]

null

w3resource/Basics-Part II/Example001.py

DanielPascualSenties/pythonw3

f0355d1b640dec19e0b087797538204332111bb5

[ "MIT" ]

null

w3resource/Basics-Part II/Example001.py

DanielPascualSenties/pythonw3

f0355d1b640dec19e0b087797538204332111bb5

[ "MIT" ]

null

lis = [1, 2, 3, 4, 2, 6, 7, 8, 9] without_duplicates = [] ok = True for i in range(0,len(lis)): if lis[i] in without_duplicates: ok = False break else: without_duplicates.append(lis[i]) if ok: print("There are no duplicates") else: print("Things are not ok")

20

41

0.586667

49

300

3.530612

0.612245

0.294798

0.219653

0

0.046083

0.276667

300

15

42

20

0.751152

0

0.153846

0

0.13289

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false

0

0.153846

0

null

1

0

null

0

2

cb171db8d3e23188e9624267089785cecd8e7698

276

py

Python

modelutils/caffe/load.py

shonohs/modelutils

24df495ce5372c3f8a1f064f163b51150517e2de

[ "MIT" ]

1

2020-12-10T07:06:32.000Z

modelutils/caffe/load.py

shonohs/modelutils

24df495ce5372c3f8a1f064f163b51150517e2de

[ "MIT" ]

null

modelutils/caffe/load.py

shonohs/modelutils

24df495ce5372c3f8a1f064f163b51150517e2de

[ "MIT" ]

null

from google.protobuf import text_format def load_model(input_filepath, output_filepath): from caffe.proto import caffe_pb2 net = caffe_pb2.NetParameter() text_format.Parse(input_filepath.read_text(), net) output_filepath.write_bytes(net.SerializeToString())

30.666667

56

0.789855

37

276

5.594595

0.594595

0.096618

0

0.008299

0.126812

276

8

57

34.5

0.850622

0

1

0.166667

false

0

0.333333

0

0.5

0

null

0

1

0

null

0

1

0

2

cb1fc49b8fa223be23b6675278f371f4d1b55ecd

259

py

Python

dataent/templates/autodoc/contents.py

dataent/dataent

c41bd5942ffe5513f4d921c4c0595c84bbc422b4

[ "MIT" ]

null

dataent/templates/autodoc/contents.py

dataent/dataent

c41bd5942ffe5513f4d921c4c0595c84bbc422b4

[ "MIT" ]

6

2020-03-24T17:15:56.000Z

2022-02-10T18:41:31.000Z

dataent/templates/autodoc/contents.py

dataent/dataent

c41bd5942ffe5513f4d921c4c0595c84bbc422b4

[ "MIT" ]

null

# Copyright (c) 2015, Dataent Technologies Pvt. Ltd. and Contributors # See license.txt from __future__ import unicode_literals import dataent from dataent.website.utils import get_full_index def get_context(context): context.full_index = get_full_index()

25.9

69

0.814672

37

259

5.405405

0.648649

0.135

0.12

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0.017544

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259

9

70

28.777778

0.859649

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0.6

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0.8

0

null

0

1

0

null

0

1

0

2

cb2eb4e61f771da2ea03a4892417afa6856614cd

143

py

Python

tests/conftest.py

hemma/py-lambda-simulator

602aff47900116802149821b52157fd0eaa80d08

[ "MIT" ]

1

2022-02-09T21:48:16.000Z

tests/conftest.py

hemma/py-lambda-simulator

602aff47900116802149821b52157fd0eaa80d08

[ "MIT" ]

null

tests/conftest.py

hemma/py-lambda-simulator

602aff47900116802149821b52157fd0eaa80d08

[ "MIT" ]

null

import asyncio import pytest @pytest.fixture(scope="module") def loop(): loop = asyncio.get_event_loop() yield loop loop.close()

14.3

35

0.692308

19

143

5.105263

0.631579

0.164948

0

0.188811

143

9

36

15.888889

0.836207

0

0.041958

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1

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false

0

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0

1

0

null

0

1

0

null

0

2

cb3344245b5b31fdfb81ce963722d84b14208888

355

py

Python

src/tenyksscripts/scripts/aww.py

ericbutera/tenyks-contrib

c1152656f3fe7135b5c3331a9fc215666c6df532

[ "MIT" ]

7

2015-10-26T06:31:07.000Z

2018-07-10T17:38:11.000Z

src/tenyksscripts/scripts/aww.py

ericbutera/tenyks-contrib

c1152656f3fe7135b5c3331a9fc215666c6df532

[ "MIT" ]

22

2015-04-16T06:29:25.000Z

2022-03-19T18:41:33.000Z

src/tenyksscripts/scripts/aww.py

ericbutera/tenyks-contrib

c1152656f3fe7135b5c3331a9fc215666c6df532

[ "MIT" ]

5

2015-10-23T21:31:21.000Z

2018-07-10T17:30:10.000Z

import re import random import requests def run(data, settings): if re.compile(r'(?i)i( am|\'m) (sad|bummed)').match( data['payload']): aww_r = requests.get('http://www.reddit.com/r/aww.json') aww_json = random.choice(aww_r.json()['data']['children']) return 'daaawwwww {url}'.format(url=aww_json['data']['url'])

29.583333

68

0.611268

52

355

4.096154

0.596154

0.098592

0

0.183099

355

11

69

32.272727

0.734483

0

0.23662

0

1

0.111111

false

0

0.333333

0

0.555556

0

null

0

null

0

1

0

1

0

2

cb37d1e2fcaf7df0d2df8f94342a8d51a683f714

463

py

Python

bdo/download.py

sihrc/bdo-image2text

17c346b440ad647da56c38c23ba5783a412d8259

[ "MIT" ]

1

2019-04-18T19:16:16.000Z

bdo/download.py

sihrc/bdo-image2text

17c346b440ad647da56c38c23ba5783a412d8259

[ "MIT" ]

null

bdo/download.py

sihrc/bdo-image2text

17c346b440ad647da56c38c23ba5783a412d8259

[ "MIT" ]

null

import requests import socket from urllib.parse import unquote_plus as urllib_unquote_plus from urllib.error import HTTPError, URLError HEADERS = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36' } def get_content_from_url(url): url = urllib_unquote_plus(url).strip() headers = dict(HEADERS) return requests.get(url, headers=headers, timeout=5).content

27.235294

140

0.75378

72

463

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0.611111

0.097345

0.100295

0

0.06801

0.142549

463

16

141

28.9375

0.785894

0

0.090909

0.280778

0

1

0.090909

false

0

0.363636

0

0.545455

0

null

0

null

0

1

0

1

0

2

cb52447aea68112909b65e9aeb941d96041e4d18

575

py

Python

pastebin/users/viewsets.py

amirasaad/pastebin

dba0617337a61646cba3bed7f35f4afa1618a49e

[ "MIT" ]

null

pastebin/users/viewsets.py

amirasaad/pastebin

dba0617337a61646cba3bed7f35f4afa1618a49e

[ "MIT" ]

192

2020-01-07T12:10:04.000Z

2022-03-27T17:32:32.000Z

pastebin/users/viewsets.py

amirasaad/pastebin

dba0617337a61646cba3bed7f35f4afa1618a49e

[ "MIT" ]

null

from django.contrib.auth import get_user_model from rest_framework import filters from rest_framework.viewsets import ModelViewSet from pastebin.users.permissions import IsAuthenticatedOrCreate from pastebin.users.serializers import UserSerializer User = get_user_model() class UsersViewSet(ModelViewSet): queryset = User.objects.all() serializer_class = UserSerializer filter_backends = [filters.SearchFilter] search_fields = ["username", "email"] http_method_names = ["get", "post", "head", "put"] permission_classes = [IsAuthenticatedOrCreate]

31.944444

62

0.786087

63

575

6.984127

0.634921

0.031818

0.054545

0

0.130435

575

17

63

33.823529

0.88

0

0.046957

0

1

0

false

0

0.384615

0

0.923077

0

null

0

null

0

1

0

1

0

2

cb5d6d1fc081eaeb9e9c206487da3b194f8b5249

3,984

py

Python

flight_eyes.py

Eunoia/flight-eyes

5b542b0a32a8f450e366e61e208c7c1a38a8e924

[ "MIT" ]

null

flight_eyes.py

Eunoia/flight-eyes

5b542b0a32a8f450e366e61e208c7c1a38a8e924

[ "MIT" ]

null

flight_eyes.py

Eunoia/flight-eyes

5b542b0a32a8f450e366e61e208c7c1a38a8e924

[ "MIT" ]

null

""" Generates image over an area. """ import math import os import sys import time import requests from PIL import Image from shapely import geometry from tiletanic.tilecover import cover_geometry from tiletanic.tileschemes import WebMercator def to_web_mercator(x_lon, y_lat): """ Converts lat, long into web mercator. Needed for tiletanic. """ if abs(x_lon) >= 180 and abs(y_lat) > 90: print 'Invalid coordinate values for conversion' return None num = x_lon * 0.017453292519943295 x = 6378137.0 * num a = y_lat * 0.017453292519943295 x_mercator = x y_mercator = 3189068.5 * math.log((1.0 + math.sin(a)) / (1.0 - math.sin(a))) return (x_mercator, y_mercator) def to_grid(tiles): """ Organizes a list of tiles into a matrix that can be iterated over. """ tiles = sorted(tiles, key=lambda elem: elem.x) pivot = 1 for idx, element in enumerate(tiles): if idx == 0: continue prior_element = tiles[idx-1] if element.x != prior_element.x: pivot = idx break return [tiles[i:i+pivot] for i in range(0, len(tiles), pivot)] def zoom_from_altitude(altitude): """ converts altitude to zoom, really simplistic """ return round(math.log(35200000 / abs(altitude)) / math.log(2)) def url(quad): """ creates the url for a given quadkey. """ key = 'AuZ2rzQL4BFpZbThyMutLjCSwreiFEPg66lx4ZTsbWIP2fvhEupamMwphvkb82sb' root = 'http://ecn.t3.tiles.virtualearth.net/tiles' return '{}/a{}.jpeg?g=195&mkt=en-US&key={}'.format(root, quad, key) def load_image_from_url(quad): """ Downloads image, and handles caching. """ date = time.strftime("%Y-%m-%d").split('-') file_name = "quads/{}-{}-{}-{}.jpeg".format(quad, *date) if os.path.exists(file_name): image = Image.open(file_name) else: content = requests.get(url(quad)).content open(file_name, 'w').write(content) image = Image.open(file_name) return image def tiles_over(coordinates, altitude=0): """ Finds all the tiles for an area """ quads = [] x_web_m, y_web_m = to_web_mercator(*coordinates) zoom = zoom_from_altitude(altitude) print zoom tiler = WebMercator() center_tile = tiler.tile(x_web_m, y_web_m, zoom) bounding_box = tiler.bbox(center_tile) tiles = cover_geometry(tiler, geometry.box(*bounding_box), zoom+2) for row in to_grid(tiles): quads.append([]) for cell in row: quads[-1].append(tiler.quadkey(cell)) print '\n'.join(['|'.join([str(q) for q in quads])]) return quads def download_tiles(quads, file_name): """ Generates larger image from tiles. """ width, height = (len(quads[0]), len(quads)) full_size = Image.new('RGB', (width*256, height*256)) print "QUAD SHAPE x: %d y: %d" % (width, height) for x_range in range(0, height): for y_range in range(0, width): print x_range, y_range safety_i = min(x_range, len(quads)) safety_j = min(y_range, len(quads[0])) quad = quads[safety_i][safety_j] image = load_image_from_url(quad) full_size.paste(image, (x_range*256, y_range*256)) full_size.save(file_name) if __name__ == "__main__": # print len(sys.argv) if len(sys.argv) == 4: location = [float(i) for s in sys.argv] if len(sys.argv) == 3: location = (float(sys.argv[1]), float(sys.argv[2]), 30000) else: print "python flight_eyes.py lon lat altitude(defaults to 30,000 ft)" print "ex: python flight_eyes.py -122.39599 37.78858" sys.exit() lon, lat, alt = location tiles = tiles_over((lon, lat), alt) new_file_name = "background.jpg" download_tiles(tiles, new_file_name) wp = os.path.realpath(new_file_name) os.system( ('osascript -e \'tell application "Finder" to set ' 'desktop picture to POSIX file "{}"\'').format(wp, sep=2*'\n'))

33.2

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0.634036

576

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4.239583

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0.007371

0.066339

0.023751

0

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3,984

119

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0.75253

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0

null

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null

0.076923

0

null

0

1

0

null

0

1

0

2

cb5f85512be8064d1a6670ce15ba0b607752300f

1,836

py

Python

src/TheLanguage/Lexer/Error.py

davidbrownell/DavidBrownell_TheLanguage

07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98

[ "BSL-1.0" ]

null

src/TheLanguage/Lexer/Error.py

davidbrownell/DavidBrownell_TheLanguage

07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98

[ "BSL-1.0" ]

null

src/TheLanguage/Lexer/Error.py

davidbrownell/DavidBrownell_TheLanguage

07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98

[ "BSL-1.0" ]

1

2021-06-18T18:58:57.000Z

# ---------------------------------------------------------------------- # | # | Error.py # | # | David Brownell <db@DavidBrownell.com> # | 2021-09-22 15:42:41 # | # ---------------------------------------------------------------------- # | # | Copyright David Brownell 2021 # | Distributed under the Boost Software License, Version 1.0. See # | accompanying file LICENSE_1_0.txt or copy at # | http://www.boost.org/LICENSE_1_0.txt. # | # ---------------------------------------------------------------------- import os from dataclasses import dataclass import CommonEnvironment from CommonEnvironment import Interface # ---------------------------------------------------------------------- _script_fullpath = CommonEnvironment.ThisFullpath() _script_dir, _script_name = os.path.split(_script_fullpath) # ---------------------------------------------------------------------- # ---------------------------------------------------------------------- @dataclass(frozen=True) class Error(Exception, Interface.Interface): """Base class for all lexer-related errors""" Line: int Column: int # ---------------------------------------------------------------------- def __post_init__(self): assert self.Line >= 1, self.Line assert self.Column >= 1, self.Column # ---------------------------------------------------------------------- def __str__(self): return self.MessageTemplate.format(**self.__dict__) # ---------------------------------------------------------------------- @Interface.abstractproperty def MessageTemplate(self): """Template used when generating the exception string""" raise Exception("Abstract property") # pragma: no cover

36

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0.00823

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false

0

0.222222

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0

null

0

1

0

null

0

1

0

2

cb6b0fd874ec43ef1d962292ec79d55b571580f6

252

py

Python

tests/cpydiff/modules_struct_fewargs.py

sebastien-riou/micropython

116c15842fd48ddb77b0bc016341d936a0756573

[ "MIT" ]

13,648

2015-01-01T01:34:51.000Z

2022-03-31T16:19:53.000Z

tests/cpydiff/modules_struct_fewargs.py

sebastien-riou/micropython

116c15842fd48ddb77b0bc016341d936a0756573

[ "MIT" ]

7,092

2015-01-01T07:59:11.000Z

2022-03-31T23:52:18.000Z

tests/cpydiff/modules_struct_fewargs.py

sebastien-riou/micropython

116c15842fd48ddb77b0bc016341d936a0756573

[ "MIT" ]

4,942

2015-01-02T11:48:50.000Z

2022-03-31T19:57:10.000Z

""" categories: Modules,struct description: Struct pack with too few args, not checked by uPy cause: Unknown workaround: Unknown """ import struct try: print(struct.pack("bb", 1)) print("Should not get here") except: print("struct.error")

18

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0.170635

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0

null

0

null

0

1

0

1

0

2

cb6dc459af92ac34acd40ec3e871b829d8f54554

3,935

py

Python

mayi/test_case/test_landlord_read.py

18701016443/mayi

192c70c49a8e9e072b9d0d0136f02c653c589410

[ "MIT" ]

null

mayi/test_case/test_landlord_read.py

18701016443/mayi

192c70c49a8e9e072b9d0d0136f02c653c589410

[ "MIT" ]

null

mayi/test_case/test_landlord_read.py

18701016443/mayi

192c70c49a8e9e072b9d0d0136f02c653c589410

[ "MIT" ]

null

#!/usr/bin/env python # encoding: utf-8 """ @version: python.3.6 @author: zhangjiaheng @software: PyCharm @time: 2017/9/26 14:31 """ from test_case.page_obj import login_page,landlord_nav_page,landlord_read_page from models import function,myunit from time import sleep import unittest class TestLandlordRead(myunit.MyTest): '''房源管理-房东必读''' def test_agreement(self): '''服务协议''' login_page.LoginPage(self.driver).login() sleep(3) landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord() sleep(3) landlord_nav_page.LandlordNavPage(self.driver).close_weiChat() sleep(3) landlord_nav_page.LandlordNavPage(self.driver).roommanager() sleep(3) po = landlord_read_page.LandlordReadPage(self.driver) po.read() sleep(3) po.agreement() print(po.agreement_text()) sleep(2) function.insert_img(self.driver, "agreement.png") def test_landlord_read(self): '''房东规则''' # login_page.LoginPage(self.driver).login() # sleep(2) landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord() sleep(2) # landlord_nav_page.LandlordNavPage(self.driver).close_weiChat() # sleep(2) landlord_nav_page.LandlordNavPage(self.driver).roommanager() sleep(2) po = landlord_read_page.LandlordReadPage(self.driver) po.read() sleep(2) function.insert_img(self.driver,"landlord_read.png") def test_tenant_rule(self): '''房客规则''' # login_page.LoginPage(self.driver).login() # sleep(3) landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord() sleep(3) # landlord_nav_page.LandlordNavPage(self.driver).close_weiChat() # sleep(3) landlord_nav_page.LandlordNavPage(self.driver).roommanager() sleep(3) po = landlord_read_page.LandlordReadPage(self.driver) po.read() sleep(3) po.tenant_rule() function.insert_img(self.driver,"tenant_rule.png") def test_roomauditrule(self): '''房间审核规范''' # login_page.LoginPage(self.driver).login() # sleep(3) landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord() sleep(3) # landlord_nav_page.LandlordNavPage(self.driver).close_weiChat() # sleep(3) landlord_nav_page.LandlordNavPage(self.driver).roommanager() sleep(3) po = landlord_read_page.LandlordReadPage(self.driver) po.read() sleep(3) po.roomauditrule() function.insert_img(self.driver, "roomauditrule.png") def test_privacypolicy(self): '''隐私条款''' # login_page.LoginPage(self.driver).login() # sleep(3) landlord_nav_page.LandlordNavPage(self.driver).Iamlandlord() sleep(3) # landlord_nav_page.LandlordNavPage(self.driver).close_weiChat() # sleep(3) landlord_nav_page.LandlordNavPage(self.driver).roommanager() sleep(3) po = landlord_read_page.LandlordReadPage(self.driver) po.read() sleep(3) po.privacypolicy() print(po.privacypolicy_text()) function.insert_img(self.driver, "privacypolicy.png") def test_disclaimer(self): '''免责声明''' # login_page.LoginPage(self.driver).login() # sleep(3) landlord_nav_page.LandlordNavPage( self.driver ).Iamlandlord() sleep( 3 ) # landlord_nav_page.LandlordNavPage(self.driver).close_weiChat() # sleep(3) landlord_nav_page.LandlordNavPage( self.driver ).roommanager() sleep( 3 ) po = landlord_read_page.LandlordReadPage( self.driver ) po.read() sleep( 3 ) po.disclaimer() print( po.disclaimer_text() ) function.insert_img( self.driver, "disclaimer.png" ) if __name__ == "__main__": unittest.main()

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null

0

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cb7a8c0810b94ad1d1042a8d4bb120890af0ef0a

351

py

Python

examples/song/factory.py

luiscastilho/toute

56207d3d92b8bc1066e115c285cf79f96be3e249

[ "MIT" ]

3

2021-01-04T02:12:33.000Z

2021-09-22T14:41:39.000Z

examples/song/factory.py

luiscastilho/toute

56207d3d92b8bc1066e115c285cf79f96be3e249

[ "MIT" ]

6

2020-08-04T22:34:12.000Z

2020-10-10T12:40:14.000Z

examples/song/factory.py

luiscastilho/toute

56207d3d92b8bc1066e115c285cf79f96be3e249

[ "MIT" ]

1

2020-08-04T21:59:43.000Z

from elasticsearch import Elasticsearch class ElasticSearchFactory(object): def __init__(self, host: str, port: int): self.host = host self.port = port def create(self) -> Elasticsearch: return Elasticsearch( [{'host': self.host, 'port': self.port}], headers={'X-Api-Key': 'xxxxx'} # optional )

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cb86ab2719ff071cd745e3c527186b958bf5515b

882

py

Python

src/users/models/microsoftgraphpending_operations.py

peombwa/Sample-Graph-Python-Client

3396f531fbe6bb40a740767c4e31aee95a3b932e

[ "MIT" ]

null

src/users/models/microsoftgraphpending_operations.py

peombwa/Sample-Graph-Python-Client

3396f531fbe6bb40a740767c4e31aee95a3b932e

[ "MIT" ]

null

src/users/models/microsoftgraphpending_operations.py

peombwa/Sample-Graph-Python-Client

3396f531fbe6bb40a740767c4e31aee95a3b932e

[ "MIT" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serialization import Model class MicrosoftgraphpendingOperations(Model): """pendingOperations. :param pending_content_update: :type pending_content_update: ~users.models.MicrosoftgraphpendingContentUpdate """ _attribute_map = { 'pending_content_update': {'key': 'pendingContentUpdate', 'type': 'MicrosoftgraphpendingContentUpdate'}, } def __init__(self, pending_content_update=None): super(MicrosoftgraphpendingOperations, self).__init__() self.pending_content_update = pending_content_update

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cb994b07e90e6d0d9374b19a28cc51cebc8a33e2

257

py

Python

fundamentos/exer003.py

edelvandro/Python

152685590af873bf63fcc5a29cf3528e4cc31a3e

[ "MIT" ]

1

2020-04-14T14:43:59.000Z

fundamentos/exer003.py

edelvandro/Python

152685590af873bf63fcc5a29cf3528e4cc31a3e

[ "MIT" ]

null

fundamentos/exer003.py

edelvandro/Python

152685590af873bf63fcc5a29cf3528e4cc31a3e

[ "MIT" ]

null

# Crie um programa que leia dois números e mostre a soma entre eles. num1 = int(input('Digite o primeiro valor: ')) num2 = int(input('Digite o segundo valor: ')) soma = num1 + num2 print('O resultado da soma entre {} e {} é: {}'.format(num1, num2, soma))

32.125

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0

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257

7

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1

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1

0

null

0

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cba10bf7d8c9b99373be692d996d0ea2933d5dc5

12,810

py

Python

train.py

JackMaguire/RobotsAsAGraph

23208be8cfc34cd1f4db9f3cb7b680286e690f07

[ "MIT" ]

null

train.py

JackMaguire/RobotsAsAGraph

23208be8cfc34cd1f4db9f3cb7b680286e690f07

[ "MIT" ]

null

train.py

JackMaguire/RobotsAsAGraph

23208be8cfc34cd1f4db9f3cb7b680286e690f07

[ "MIT" ]

null

import argparse import tensorflow as tf from tensorflow.keras.layers import * from tensorflow.keras.models import Model, load_model from tensorflow.keras.optimizers import Adam from tensorflow.keras.losses import BinaryCrossentropy from tqdm import tqdm import numpy as np import robots_core from robots_core.train import Tensors, make_tensors import random from scipy import sparse as sp from spektral.data.utils import to_disjoint from spektral.utils.sparse import sp_matrix_to_sp_tensor from spektral.layers.ops.scatter import unsorted_segment_softmax from spektral.layers import XENetConv, CrystalConv, ECCConv from spektral.data.loaders import DisjointLoader from spektral.data.dataset import Dataset from spektral.data.dataset import Graph import spektral def test(): t = make_tensors( "000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000002000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000010000000010000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000,0,1,8" ) print( t.input_tensors ) print( t.output_tensor ) def better_unsorted_segment_softmax(x, indices, mask): n_nodes = tf.reduce_max(indices)+1 mask = tf.reshape( mask, tf.shape(x) ) #print( mask.shape ) #print( tf.exp( x ).shape ) e_x = mask * tf.exp( x - tf.gather(tf.math.unsorted_segment_max(x, indices, n_nodes), indices) ) e_x /= tf.gather( tf.math.unsorted_segment_sum(e_x, indices, n_nodes) + 1e-9, indices ) return e_x ''' class RobotsDataset( Dataset ): def __init__( self, filename ): with open( filename ) as file: self.samples = [line.rstrip() for line in file.readlines() if len(line) > 5] print( "Loaded {} lines".format( len(self.samples) ) ) Dataset.__init__( self ) def read( self ): return [ Graph( t.x, t.a, t.e, t.y ) ] ''' class Loader( tf.keras.utils.Sequence ): def __init__( self, filename, batch_size=64, shuffle=True ): with open( filename ) as file: self.samples = [line.rstrip() for line in file.readlines() if len(line) > 5] print( "Loaded {} lines".format( len(self.samples) ) ) self.batch_size = batch_size self.n_batches = int( len(self.samples) / batch_size ) self.shuffle = shuffle self.on_epoch_end() def __len__( self ): return self.n_batches def __getitem__( self, index ): subsamples = self.samples[ index*self.batch_size : (index+1)*self.batch_size ] Xs = [] As = [] Es = [] Os = [] for s in subsamples: t = make_tensors( s ) Xs.append( np.asarray( t.input_tensors.x ) ) As.append( np.asarray( t.input_tensors.a ) ) Es.append( np.asarray( t.input_tensors.e ) ) Os.append( np.asarray( t.output_tensor ) ) #print( np.asarray( t.output_tensor ).shape ) #print( np.asarray( Os ) ) #print( np.asarray( Xs ).shape, "???" ) #print( np.asarray( Os ).shape, "!!!" ) x, a, e, i = to_disjoint( Xs, [sp.coo_matrix(a) for a in As], Es ) legal_move_mask = x[:, -1] #print( legal_move_mask.shape ) #print( subsamples ) a = sp_matrix_to_sp_tensor(a) #print( type(a) ) #print( type(a).__mro__ ) assert tf.keras.backend.is_sparse( a ) return [x, a, e, i, legal_move_mask], np.vstack( Os ) def on_epoch_end(self): if self.shuffle: random.shuffle( self.samples ) def build_model( nconv: int, compile: bool ): F = 10 S = 8 Fh = 16 # Hidden Node Sh = 16 # Hidden Edge Skh = 32 # Hidden Stack X_in = Input( name="X_in", shape=(F,) ) A_in = Input( name="A_in", shape=(None,), sparse=True ) E_in = Input( name="E_in", shape=(S,) ) I_in = Input( name="I_in", shape=(), dtype=tf.int32 ) L_in = Input( name="L_in", shape=() ) #Legal move mask X = X_in A = A_in E = E_in I = I_in L = L_in X = BatchNormalization()(X) E = BatchNormalization()(E) X = Dense( Fh, activation='relu' )(X) E = Dense( Sh, activation='relu' )(E) #print( X, A, E, I ) for i in range( 0, nconv ): if( i == nconv-1 ): edge_channels=0 else: edge_channels=Sh #''' X, E = XENetConv( stack_channels=[Skh,Skh], node_channels=Fh, edge_channels=edge_channels, node_activation='relu', edge_activation='relu', attention=True )( [X, A, E] ) #''' #X = ECCConv( Fh, activation='relu' )( [ X, A, E ] ) X = Dense( Fh, activation='relu' )(X) X = Dense( 1, activation=None )(X) #X = Multiply()([X,L]) #Not Needed X = better_unsorted_segment_softmax( X, I, L ) #X = Multiply()([X,L]) #Not Needed Out = X model = Model( inputs=[X_in,A_in,E_in,I_in,L_in], outputs=Out ) if compile: model.compile( optimizer="adam", loss="binary_crossentropy" ) return model def train_by_fit( model, training_loader, validation_loader ): lr_callback = tf.keras.callbacks.ReduceLROnPlateau( monitor="val_loss", factor=0.1, patience=2, verbose=0, mode="auto", min_delta=0.001, cooldown=0, min_lr=0 ) stop = tf.keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0.002, patience=5, verbose=0, mode='min', baseline=None, restore_best_weights=True) callbacks=[lr_callback,stop] #history = model.fit( x=training_loader, validation_data=validation_loader, epochs=1000, shuffle=False, callbacks=callbacks, batch_size=1 ) #history = model.fit( x=training_loader, epochs=1000, shuffle=False, callbacks=callbacks, batch_size=1 ) ''' test_x = training_loader[0][0] test_y = training_loader[0][1] for i in range( 0, 5 ): print( i, test_x[i].shape ) print( test_y.shape, sum(test_y) ) ''' def preview_preds( model, validation_loader, p ): test_x, test_y = validation_loader[0] x = model( test_x ) data = [] #print( x ) x = x.numpy() for i in range( 0, len(x) ): if( test_y[i][0] > 0.5 ): if p: print( x[i][0], test_x[-1][i], test_x[-2][i], test_y[i][0] ) else: data.append( [ x[i][0], test_x[-1][i], test_x[-2][i], test_y[i][0] ] ) return np.asarray( data ) def evaluate_model( model, validation_loader, loss_fn ): y_true = [] y_pred = [] for batch in validation_loader: inputs, target = batch p = model(inputs, training=False) y_true.append(target) y_pred.append(p.numpy()) y_true = np.vstack(y_true) y_pred = np.vstack(y_pred) return loss_fn(y_true, y_pred) def train_by_hand( model, training_loader, validation_loader, model_name ): ################# # Config ################# learning_rate = 1e-4 # Learning rate optimizer = Adam( learning_rate ) loss_fn = BinaryCrossentropy() # see spektral/examples/graph_prediction/ogbg-mol-hiv_ecc.py def train_step(inputs, target): with tf.GradientTape() as tape: predictions = model(inputs, training=True) loss = loss_fn(target, predictions) + sum(model.losses) gradients = tape.gradient(loss, model.trainable_variables) optimizer.apply_gradients(zip(gradients, model.trainable_variables)) #print( "TRAIN LOSS", loss.numpy() ) return loss min_loss = 9999 best_weights = model.get_weights() epoch_for_min_loss = -1 epoch_for_last_lr_decrease = epoch_for_min_loss for epoch in range( 0, 1000 ): loss = 0 step = 0 for batch in tqdm(training_loader): loss += train_step(*batch) step += 1 #print( step, "/" , len(training_loader), " ... ", loss.numpy()/step ) validation_loss = evaluate_model( model, validation_loader, loss_fn ) #print( "VAL LOSS", validation_loss ) validation_loss_for_logic = np.round( 2*validation_loss, 4 ) validation_loss = np.round( validation_loss, 5 ) print("Epoch: {0} Training Loss: {1:.5f} Validation Loss: {2:.5f}".format(epoch, loss.numpy() / step, np.round( validation_loss, 5 ))) if epoch == 0: # Freeze batch norm for layer in model.layers: if layer.name.startswith( "batch_normalization" ): assert isinstance( layer, BatchNormalization ) print( "FREEZING", layer.name ) layer.trainable = False layer._per_input_updates = {} else: assert not isinstance( layer, BatchNormalization ) if validation_loss_for_logic < min_loss: print( "NEW MIN" ) min_loss = validation_loss_for_logic best_weights = model.get_weights() epoch_for_min_loss = epoch model.save( model_name + ".checkpoint.h5" ) else: if epoch - epoch_for_min_loss == 5: return elif epoch - epoch_for_min_loss >= 2 and epoch - epoch_for_last_lr_decrease >= 2: print( "DECREASING LR" ) epoch_for_last_lr_decrease = epoch learning_rate = learning_rate / 10.0 optimizer = Adam( learning_rate ) model.set_weights( best_weights ) def test2(): F = 10 S = 8 Fh = 16 # Hidden Node Sh = 16 # Hidden Edge Skh = 32 # Hidden Stack X_in = Input( name="X_in", shape=(F,) ) A_in = Input( name="A_in", shape=(None,), sparse=True ) E_in = Input( name="E_in", shape=(S,) ) I_in = Input( name="I_in", shape=(), dtype=tf.int32 ) L_in = Input( name="L_in", shape=() ) #Legal move mask X = X_in A = A_in E = E_in I = I_in L = L_in X = BatchNormalization()(X) E = BatchNormalization()(E) X = Dense( 1, activation='relu' )(X) E = Dense( 1, activation='relu' )(E) Out = better_unsorted_segment_softmax( X, I, L ) #Out = unsorted_segment_softmax( X, I ) model = Model( inputs=[X_in,A_in,E_in,I_in,L_in], outputs=Out ) validation_loader = Loader( "data/validation_data.txt", shuffle = False, batch_size=4 ) #t = validation_loader[0] inputs, target = validation_loader[0] #print( inputs ) o = model( inputs ) for i in range( 0, len(inputs[-1]) ): print( inputs[-2][i], inputs[-1][i], o[i][0].numpy() ) #print( inputs[0] ) #print( o ) if __name__ == '__main__': #test2() #exit( 0 ) parser = argparse.ArgumentParser() parser.add_argument( "--model", help="Where should we save the output model?", required=True, type=str ) parser.add_argument( "--nconv", help="How Many XENet layers should we have?", required=True, type=int ) args = parser.parse_args() training_loader = Loader( "data/training_data.txt" ) validation_loader = Loader( "data/validation_data.txt", shuffle = False ) model = build_model( args.nconv, compile=False ) model.summary() train_by_hand( model, training_loader, validation_loader, args.model ) data1 = preview_preds( model, validation_loader, p=False ) model.save( args.model ) custom_objects = { "XENetConv": XENetConv } model2 = load_model( args.model, custom_objects=custom_objects ) data2 = preview_preds( model2, validation_loader, p=False ) np.testing.assert_allclose( data1, data2 ) print( "Save/Load test passed!" )

35

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5.141931

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0.03025

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0.234308

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0.147215

0.123015

0

0.152935

0.241998

12,810

365

1,383

35.09589

0.664161

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0

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false

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0

null

0

1

0

null

1

0

2

cba7fa43d177eae0d28ebddd8abca5bee0b1be0e

2,024

py

Python

model/dataset.py

frankaging/Pragmatic-Color-Generation

e0e54d7638662f5206024a94d902b44dbed18c30

[ "MIT" ]

2

2020-10-09T04:14:10.000Z

2020-10-16T02:20:50.000Z

model/dataset.py

frankaging/Pragmatic-Color-Generation

e0e54d7638662f5206024a94d902b44dbed18c30

[ "MIT" ]

11

2020-11-13T19:08:23.000Z

2022-02-10T02:20:44.000Z

model/dataset.py

frankaging/Pragmatic-Color-Generation

e0e54d7638662f5206024a94d902b44dbed18c30

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 from util.color_util import * # In[70]: ''' Generate the dataset needed for the model TODO: Put it in as a inherent of the base pytorch dataset class ''' import os import pickle import numpy as np import pandas as pd import torch import matplotlib.pyplot as plt plt.rcParams['figure.figsize'] = (4.0, 0.5) import matplotlib.patches as mpatches # In[2]: BASE_DIR = "../munroe" # ## Load labels, words and color mapping into memory # In[78]: # load label to word dictionary label2words = {} file_w2l = os.path.join(BASE_DIR, "words_to_labels.txt") with open(file_w2l,encoding="utf-8") as f: for line in f: words, label = line.strip().split(',') label2words[label] = words # In[36]: train, dev, test = load_splits() # load color map cdict_train = load_rgb(train) cdict_dev = load_rgb(dev) cdict_test = load_rgb(test) # In[79]: triple_train = load_triple(cdict_train, label2words) triple_dev = load_triple(cdict_dev, label2words) triple_test = load_triple(cdict_test, label2words) # ## Saving all findings into disk for training use # In[ ]: import pickle pickle.dump( triple_train, open( "../munroe/triple_train.p", "wb" ) ) pickle.dump( triple_dev, open( "../munroe/triple_dev.p", "wb" ) ) pickle.dump( triple_test, open( "../munroe/triple_test.p", "wb" ) ) pickle.dump( cdict_train, open( "../munroe/cdict_train.p", "wb" ) ) pickle.dump( cdict_dev, open( "../munroe/cdict_dev.p", "wb" ) ) pickle.dump( cdict_test, open( "../munroe/cdict_test.p", "wb" ) ) # non-extend version triple_train_shrink = load_triple(cdict_train, label2words, extend=False) triple_dev_shrink = load_triple(cdict_dev, label2words, extend=False) triple_test_shrink = load_triple(cdict_test, label2words, extend=False) pickle.dump( triple_train_shrink, open( "../munroe/triple_train_reduce.p", "wb" ) ) pickle.dump( triple_dev_shrink, open( "../munroe/triple_dev_reduce.p", "wb" ) ) pickle.dump( triple_test_shrink, open( "../munroe/triple_test_reduce.p", "wb" ) )

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2,024

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0

null

0

1

0

2

cba88d266f588c17f07d7fe9d5d79c24430be689

327

py

Python

tests/test_contactus.py

Himanshu-tester/Online_Shopping_Portal

1299be0abea923fdb366603f9fb089902689d8d3

[ "MIT" ]

null

tests/test_contactus.py

Himanshu-tester/Online_Shopping_Portal

1299be0abea923fdb366603f9fb089902689d8d3

[ "MIT" ]

null

tests/test_contactus.py

Himanshu-tester/Online_Shopping_Portal

1299be0abea923fdb366603f9fb089902689d8d3

[ "MIT" ]

null

import allure import pytest from page_objects.contact_page import Contact @allure.feature("Contact Customer Support") class TestContactUs: @allure.story("Fill Customer Service Form") #@pytest.mark.skip("Skip for now") def test_contactus_page(self,driver): c = Contact(driver) c.contact_us_form()

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0

null

0

null

0

1

0

1

0

2

cbbf11b6c042ed2ba580e8d89736edecdaaf25f3

2,855

py

Python

werckercli/tests/test_metrics.py

wercker/DEPRECATED-wercker-cli

2df2bb02670f88b972eddc93c2cd8004572eb362

[ "MIT" ]

1

2019-04-16T22:09:57.000Z

werckercli/tests/test_metrics.py

wercker/DEPRECATED-wercker-cli

2df2bb02670f88b972eddc93c2cd8004572eb362

[ "MIT" ]

null

werckercli/tests/test_metrics.py

wercker/DEPRECATED-wercker-cli

2df2bb02670f88b972eddc93c2cd8004572eb362

[ "MIT" ]

2

2017-10-04T08:03:50.000Z

2021-03-26T12:42:46.000Z

import mock from mock import ANY import requests from werckercli.metrics import track_application_startup, default_command_name from werckercli.tests import TestCase track_command_usage_path = "werckercli.metrics.track_command_usage" class MetricsTests(TestCase): def test_track_application_startup_fails_silently_on_ConnectionError(self): err = requests.ConnectionError() the_method = mock.Mock(side_effect=err) with mock.patch(track_command_usage_path, the_method) as puts: try: track_application_startup() except requests.ConnectionError: self.fail("track_application_startup didn't fail silently") def test_track_application_startup_calls_track_command_usage(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: the_method.assert_called_once() @mock.patch("sys.argv", ['main.py']) def test_track_application_startup_uses_default_command_on_empty_arg(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: track_application_startup() the_method.assert_called_with(default_command_name, ANY) @mock.patch("sys.argv", ['main.py', 'validate']) def test_track_application_startup_passes_command_from_sys_args(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: track_application_startup() the_method.assert_called_with('validate', ANY) @mock.patch("sys.argv", [None, 'validate']) def test_track_application_startup_handles_missing_script_arg(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: track_application_startup() @mock.patch("sys.argv", [None, 'validate']) def test_track_application_startup_handles_missing_script_arg(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: track_application_startup() @mock.patch("sys.argv", [None, 'validate', 'foo', 'bar']) def test_track_application_startup_passes_args(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: track_application_startup() expected_args = ['foo', 'bar'] the_method.assert_called_with(ANY, expected_args) @mock.patch("sys.argv", [None, 'validate']) def test_track_application_startup_passes_None_for_missing_arguments(self): the_method = mock.Mock() with mock.patch(track_command_usage_path, the_method) as puts: track_application_startup() expected_args = None the_method.assert_called_with(ANY, expected_args)

38.581081

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2,855

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0.054545

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null

0

1

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null

0

1

0

2

cbc07d3911d1e771e924754381d72ef7439f305f

754

py

Python

SENN/scripts/main_beer.py

ricokoff/FACT-AI

393d3427435ca789f36702518483af4521883af3

[ "MIT" ]

1

2020-07-07T18:37:01.000Z

SENN/scripts/main_beer.py

ricokoff/FACT-AI

393d3427435ca789f36702518483af4521883af3

[ "MIT" ]

null

SENN/scripts/main_beer.py

ricokoff/FACT-AI

393d3427435ca789f36702518483af4521883af3

[ "MIT" ]

1

2020-07-07T18:37:12.000Z

''' Code for training and evaluating Self-Explaining Neural Networks. Copyright (C) 2018 David Alvarez-Melis <dalvmel@mit.edu> This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <https://www.gnu.org/licenses/>. '''

41.888889

70

0.775862

121

754

4.834711

0.669421

0.05641

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0.097436

0.140171

0.095727

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0.008026

0.17374

754

17

71

44.352941

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null

0

1

0

null

0

1

0

2

cbc0fa5d32485bbc84c20c0654887f0b7d7a90c1

621

py

Python

instagram_unfollower/localizer.py

someoneonearthwholovestg/Instagram_nabil

77bade3352187ae49cba64134fcf814234ca3035

[ "MIT" ]

2

2021-03-23T01:06:05.000Z

2022-01-08T14:39:16.000Z

instagram_unfollower/localizer.py

foevil/unf0llowers

d29f7eb2cdee959f2639d2f9922e7050a51d2323

[ "MIT" ]

null

instagram_unfollower/localizer.py

foevil/unf0llowers

d29f7eb2cdee959f2639d2f9922e7050a51d2323

[ "MIT" ]

2

2021-03-23T01:00:36.000Z

2021-04-22T12:01:30.000Z

import gettext from typing import Optional class Localizer: def __init__(self, storage, languages: tuple): self.storage = storage self.languages = {lang: gettext.translation('base', localedir='locale', languages=[lang]).gettext for lang in languages} self.languages[None] = gettext.gettext # Default text def get_locale(self, telegram_id: int): lang = self.storage.get_language(telegram_id) return self.languages[lang] def set_locale(self, telegram_id: int, locale: Optional[str]): self.storage.set_language(telegram_id, locale)

32.684211

105

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621

5.5

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0.113022

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621

18

106

34.5

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null

0

null

0

1

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1

0

2

1dae448dc7b91d1aa1ec3e4b205e933d71126288

710

py

Python

release/stubs.min/System/ComponentModel/__init___parts/HandledEventArgs.py

htlcnn/ironpython-stubs

780d829e2104b2789d5f4d6f32b0ec9f2930ca03

[ "MIT" ]

182

2017-06-27T02:26:15.000Z

2022-03-30T18:53:43.000Z

release/stubs.min/System/ComponentModel/__init___parts/HandledEventArgs.py

htlcnn/ironpython-stubs

780d829e2104b2789d5f4d6f32b0ec9f2930ca03

[ "MIT" ]

28

2017-06-27T13:38:23.000Z

2022-03-15T11:19:44.000Z

release/stubs.min/System/ComponentModel/__init___parts/HandledEventArgs.py

htlcnn/ironpython-stubs

780d829e2104b2789d5f4d6f32b0ec9f2930ca03

[ "MIT" ]

67

2017-06-28T09:43:59.000Z

2022-03-20T21:17:10.000Z

class HandledEventArgs(EventArgs): """ Provides data for events that can be handled completely in an event handler. HandledEventArgs() HandledEventArgs(defaultHandledValue: bool) """ @staticmethod def __new__(self,defaultHandledValue=None): """ __new__(cls: type) __new__(cls: type,defaultHandledValue: bool) """ pass Handled=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets or sets a value that indicates whether the event handler has completely handled the event or whether the system should continue its own processing. Get: Handled(self: HandledEventArgs) -> bool Set: Handled(self: HandledEventArgs)=value """

21.515152

157

0.715493

82

710

6.04878

0.573171

0.060484

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0.194366

710

32

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0.292958

0

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0.2

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0

null

0

null

0

1

0

1

0

2

1db131ceb9b318a36727ee3e07b4b7e4ccacc7c8

6,674

py

Python

Stroke.py

Suitceyes-Project-Code/Tactile-Brush-Python

12da563d0988aa3b41c547ee9e1618f30c8b805c

[ "MIT" ]

null

Stroke.py

Suitceyes-Project-Code/Tactile-Brush-Python

12da563d0988aa3b41c547ee9e1618f30c8b805c

[ "MIT" ]

null

Stroke.py

Suitceyes-Project-Code/Tactile-Brush-Python

12da563d0988aa3b41c547ee9e1618f30c8b805c

[ "MIT" ]

1

2021-10-04T14:27:25.000Z

from sortedcontainers import SortedSet import math EPSILON = 0.001 def cmp_to_key(mycmp): 'Convert a cmp= function into a key= function' class K: def __init__(self, obj, *args): self.obj = obj def __lt__(self, other): return mycmp(self.obj, other.obj) < 0 def __gt__(self, other): return mycmp(self.obj, other.obj) > 0 def __eq__(self, other): return mycmp(self.obj, other.obj) == 0 def __le__(self, other): return mycmp(self.obj, other.obj) <= 0 def __ge__(self, other): return mycmp(self.obj, other.obj) >= 0 def __ne__(self, other): return mycmp(self.obj, other.obj) != 0 return K class Pair: __slots__ = "first", "second" def __repr__(self): return "(" + str(self.first) + ", " + str(self.second) + ")" class ActuatorPoint(Pair): __slots__= "first", "second", "start", "durations", "timer_max_intensity" def __init__(self, x : float, y : float): self.first = x self.second = y self.timer_max_intensity = 0.0 self.durations = Pair() self.start = 0.0 def get_duration(self): return float(self.durations.first) + float(self.durations.second) def get_start(self): return self.start def __key(self): return (self.first, self.second) def __repr__(self): return "(" + str(self.first) + ", " + str(self.second) + ")" def __str__(self): return "Virtual actuator at position (" + str(self.first) + ", " + str(self.second) + ") cm" + \ " triggered at " + str(self.start) + " ms for " + str(self.get_duration()) + " msec. " + \ "Max intensity reached at " + str(self.timer_max_intensity) + " msec." def __eq__(self, value): if isinstance(value, ActuatorPoint): return self.__key() == value.__key() return NotImplemented def __hash__(self): return hash(self.__key()) def __gt__(self, value): if self.first == value.first: return self.second > value.second return self.first > value.first class Stroke: __slots__ = "_startX", "_startY", "_endX", "_endY", "_duration", "_intensity", "_start", "_end", "_virtual_points" def __init__(self, startX : float, startY : float, endX : float, endY : float, duration : float, intensity : float): self._startX = startX self._startY = startY self._endX = endX self._endY = endY self._duration = duration self._intensity = intensity self._virtual_points = [] self._start = ActuatorPoint(0,0) self._end = ActuatorPoint(0,0) def compute_parameters(self, lines : float, columns : float, inter_dist : float): self._compute_virtual_points(lines, columns, inter_dist) self._compute_max_intensity_timers() self._compute_durations_and_SOAs() return self._virtual_points def get_duration(self): return self._duration def get_intensity(self): return self._intensity def get_start(self): return self._start def get_end(self): return self._end def pretty_print(self): for p in self._virtual_points: print(str(p)) def _cmp(self, a : ActuatorPoint, b : ActuatorPoint): diffX = b.first - a.first if diffX > EPSILON: return -1 return (1, -1)[abs(diffX) < EPSILON and b.second - a.second > EPSILON] def _compute_virtual_points(self, lines : float, columns : float, inter_dist : float): self._start = ActuatorPoint(self._startX * inter_dist, self._startY * inter_dist) self._end = ActuatorPoint(self._endX * inter_dist, self._endY * inter_dist) v = SortedSet(key = cmp_to_key(self._cmp)) v.add(self._start) if abs(self._end.first - self._start.first) < EPSILON: for l in range(0, lines): c = ActuatorPoint(self._start.first, l * inter_dist) if self._is_point_on_stroke(c): v.add(c) else: coef = (self._end.second - self._start.second) / (self._end.first - self._start.first) orig = self._start.second - coef * self._start.first for l in range(0, lines): y = l * inter_dist ant = ActuatorPoint((y - orig)/coef, y) if self._is_point_on_stroke(ant): v.add(ant) for c in range(0, columns): x = c * inter_dist res = ActuatorPoint(x, coef * x + orig) if self._is_point_on_stroke(res): v.add(res) v.add(self._end) self._virtual_points = list(v.islice(0, len(v))) if self._start > self._end: self._virtual_points = reversed(self._virtual_points) def _compute_max_intensity_timers(self): speed = math.hypot(self._start.first - self._end.first, self._start.second - self._end.second) / self._duration begin = self._virtual_points[0] for i in range(1, len(self._virtual_points)): e = self._virtual_points[i] e.timer_max_intensity = math.hypot(e.first - begin.first, e.second - begin.second) / speed def _compute_durations_and_SOAs(self): sumSOA = 0.0 self._virtual_points[0].start = 0 self._virtual_points[0].durations.first = 0 for i in range(0, len(self._virtual_points) -1): current = self._virtual_points[i] next = self._virtual_points[i + 1] sumSOA += (0.32 * (current.durations.first - sumSOA + next.timer_max_intensity) + 47.3) / 1.32 next.start = sumSOA next.durations.first = current.durations.second = next.timer_max_intensity - sumSOA last = len(self._virtual_points) - 1 self._virtual_points[last].durations.first = self._duration - sumSOA self._virtual_points[last].durations.second = 0 def _is_point_on_stroke(self, point : ActuatorPoint): seg_dist = math.hypot(self._start.first - self._end.first, self._start.second - self._end.second) start_to_point_dist = math.hypot(self._start.first - point.first, self._start.second - point.second) point_to_end_dist = math.hypot(self._end.first - point.first, self._end.second - point.second) return start_to_point_dist + point_to_end_dist - seg_dist < EPSILON if __name__ == "__main__": s = Stroke(0, 1, 3, 0, 1000, 1) s.compute_parameters(1,3,2.5) s.pretty_print()

35.5

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6,674

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0.077376

0.032129

0.30656

0.217403

0.162517

0.144846

0.111647

0

0.012539

0.283039

6,674

188

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0.06993

0

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false

0

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0.454545

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0

null

0

null

0

1

0

1

0

2

1dbcf2ea42722e178d6932a337470ad2e6157f1a

54

py

Python

bg_biz/__init__.py

sluggard6/bgirl

3c9fa895189ef16442694830d0c05cf60ee5187b

[ "Apache-2.0" ]

null

bg_biz/__init__.py

sluggard6/bgirl

3c9fa895189ef16442694830d0c05cf60ee5187b

[ "Apache-2.0" ]

null

bg_biz/__init__.py

sluggard6/bgirl

3c9fa895189ef16442694830d0c05cf60ee5187b

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- __author__ = [ 'wufang' ]

9

22

0.481481

5

54

4.4

1

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0.025

0.259259

54

5

23

10.8

0.525

0.37037

0

0.1875

0

1

0

false

0

1

0

null

0

1

0

null

0

2

1defcbb806e9c17185681f2681e05c65ac36377f

259

py

Python

test.py

qibin0506/PyProgressBar

70f49f062a996639cd237288fbb27b720e79628f

[ "Apache-2.0" ]

null

test.py

qibin0506/PyProgressBar

70f49f062a996639cd237288fbb27b720e79628f

[ "Apache-2.0" ]

null

test.py

qibin0506/PyProgressBar

70f49f062a996639cd237288fbb27b720e79628f

[ "Apache-2.0" ]

null

import time from ProgressBar import ProgressBar max_value = 50 progress_bar = ProgressBar(max_value) for i in progress_bar(): progress_bar.progress(i, "already download {}%".format(int((i + 1) / max_value * 100))) time.sleep(0.2) progress_bar.end()

23.545455

91

0.725869

39

259

4.641026

0.564103

0.243094

0.209945

0

0.036199

0.146718

259

10

92

25.9

0.782805

0

0.07722

0

1

0

false

0

0.25

0

0.25

0

null

1

0

null

0

2

1df1adf0d18141e71f9af60e2f1a879b71049306

3,086

py

Python

jobbing/models_remote/user_auth.py

davidall-amdocs/jobbing

b13311da07606366dfbe2eb737483a5820038557

[ "Apache-2.0" ]

null

jobbing/models_remote/user_auth.py

davidall-amdocs/jobbing

b13311da07606366dfbe2eb737483a5820038557

[ "Apache-2.0" ]

null

jobbing/models_remote/user_auth.py

davidall-amdocs/jobbing

b13311da07606366dfbe2eb737483a5820038557

[ "Apache-2.0" ]

null

# coding: utf-8 from __future__ import absolute_import from datetime import date, datetime # noqa: F401 from typing import List, Dict # noqa: F401 from jobbing.models.base_model_ import Model from jobbing import util class UserAuth(Model): def __init__(self, user_auth_id:int = None, user_auth_password:str = None, user_auth_pass_date:str = None, user_model_id:int = None, user_auth_updated_date:str = None, user_auth_name:str = None): # noqa: E501 self.swagger_types = { 'user_auth_id': int, 'user_auth_password': str, 'user_auth_pass_date': str, 'user_model_id': int, 'user_auth_updated_date': str, 'user_auth_name': str } self.attribute_map = { 'user_auth_id': 'user_auth_id', 'user_auth_password': 'user_auth_password', 'user_auth_pass_date': 'user_auth_pass_date', 'user_model_id': 'user_model_id', 'user_auth_updated_date': 'user_auth_updated_date', 'user_auth_name': 'user_auth_name' } self._user_auth_id = user_auth_id self._user_auth_password = user_auth_password self._user_auth_pass_date = user_auth_pass_date self._user_model_id = user_model_id self._user_auth_updated_date = user_auth_updated_date self._user_auth_name = user_auth_name @classmethod def from_dict(cls, dikt) -> 'UserAuth': return util.deserialize_model(dikt, cls) @property def user_auth_id(self) -> int: return self._user_auth_id @user_auth_id.setter def user_auth_id(self, param): if param is None: raise ValueError("Invalid value for `user_auth_id`, must not be `None`") # noqa: E501 self._user_auth_id = param @property def user_auth_password(self) -> str: return self._user_auth_password @user_auth_password.setter def user_auth_password(self, param): if param is None: raise ValueError("Invalid value for `user_auth_password`, must not be `None`") # noqa: E501 self._user_auth_password = param @property def user_auth_pass_date(self) -> str: return self._user_auth_pass_date @user_auth_pass_date.setter def user_auth_pass_date(self, param): if param is None: raise ValueError("Invalid value for `user_auth_pass_date`, must not be `None`") # noqa: E501 self._user_auth_pass_date = param @property def user_model_id(self) -> int: return self._user_model_id @user_model_id.setter def user_model_id(self, param): if param is None: raise ValueError("Invalid value for `user_model_id`, must not be `None`") # noqa: E501 self._user_model_id = param @property def user_auth_updated_date(self) -> str: return self._user_auth_updated_date @user_auth_updated_date.setter def user_auth_updated_date(self, param): if param is None: raise ValueError("Invalid value for `user_auth_updated_date`, must not be `None`") # noqa: E501 self._user_auth_updated_date = param @property def user_auth_name(self) -> str: return self._user_auth_name @user_auth_name.setter def user_auth_name(self, param): if param is None: raise ValueError("Invalid value for `user_auth_name`, must not be `None`") # noqa: E501 self._user_auth_name = param

28.054545

99

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0.090866

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109

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0.232558

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0.081395

0.313953

0

null

1

0

null

0

1

0

2

1df313f3c6d294973317a9ce22da847fa27b99ef

957

py

Python

EPG_golom.py

Golom3402/September_2018

29d8ddca72a943aa6958de630fd0d898174fb4cd

[ "Apache-2.0" ]

null

EPG_golom.py

Golom3402/September_2018

29d8ddca72a943aa6958de630fd0d898174fb4cd

[ "Apache-2.0" ]

null

EPG_golom.py

Golom3402/September_2018

29d8ddca72a943aa6958de630fd0d898174fb4cd

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from selenium.webdriver.chrome.webdriver import WebDriver from time import sleep import unittest def is_alert_present(wd): try: wd.switch_to_alert().text return True except: return False class test_add_group(unittest.TestCase): def setUp(self): self.wd = WebDriver() self.wd.implicitly_wait(60) def Authorization(self): success = True wd = self.wd wd.get("http://10.128.55.34:8080") wd.find_element_by_id("id_username").click() wd.find_element_by_id("id_username").clear() wd.find_element_by_id("id_username").send_keys("admin") wd.find_element_by_id("id_password").click() wd.find_element_by_id("id_password").clear() wd.find_element_by_id("id_password").send_keys("admin") wd.find_element_by_css_selector("button[type=\"submit\"]").click() def tearDown (self): self.wd.quit()

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null

0

1

0

null

0

1

0

2

1df7f253fd5efe5b266943057a0be2ca078dbad2

2,069

py

Python

mapping/enable/async_loader.py

enthought/enable-mapping

7b77b2031405d5eadaec6da4d5b7927bffa3d999

[ "BSD-3-Clause" ]

null

mapping/enable/async_loader.py

enthought/enable-mapping

7b77b2031405d5eadaec6da4d5b7927bffa3d999

[ "BSD-3-Clause" ]

19

2016-01-21T23:06:01.000Z

2018-05-31T04:05:03.000Z

mapping/enable/async_loader.py

enthought/enable-mapping

7b77b2031405d5eadaec6da4d5b7927bffa3d999

[ "BSD-3-Clause" ]

null

from abc import ABCMeta, abstractmethod from threading import Event, Thread from six.moves import queue from six import with_metaclass from traits.api import HasTraits, Any, Instance class AsyncLoader(HasTraits): """ A class which executes generic 'request' objects off of the main thread """ def start(self): self._thread.start() def stop(self): self._stop_signal.set() self._thread.join() def put(self, request): self._queue.put(request) # Private interface ################################################## _thread = Any _stop_signal = Any _queue = Instance(queue.Queue) def __thread_default(self): return RequestingThread(self._queue, self._stop_signal) def __queue_default(self): return queue.Queue() def __stop_signal_default(self): return Event() class AsyncRequest(with_metaclass(ABCMeta, object)): """ Interface for requests processed by AsyncLoader """ @abstractmethod def execute(self): """ Run the request """ class RequestingThread(Thread): def __init__(self, queue_, stop_signal): super(RequestingThread, self).__init__() self.queue = queue_ self.stop_signal = stop_signal self.daemon = True def run(self): # Wait for any requests while not self.stop_signal.is_set(): try: # Use a timeout so that `self.stop_signal` controls our exit req = self.queue.get(block=True, timeout=1.0) req.execute() except queue.Empty: pass #: Global async_loader instance. Use get_global_async_loader #: to request this instance. _async_loader = None def get_global_async_loader(): """ Get the current global AsyncLoader instance, creating and initializing it if necessary. """ global _async_loader if _async_loader is None: async_loader = AsyncLoader() async_loader.start() _async_loader = async_loader return _async_loader

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2,069

82

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0.819191

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0.021739

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0

null

0

null

0

1

0

1

0

2

1dfe86b8c5cd9281d0f80dc5ec07f6ff3621234b

290

py

Python

hxlm/core/urn/__init__.py

EticaAI/HXL-Data-Science-file-formats

c7c5aa56c452ac1613242ee04cc9ae66f38ec24d

[ "Unlicense" ]

3

2021-01-25T20:44:10.000Z

2021-04-19T22:47:05.000Z

hxlm/core/urn/__init__.py

fititnt/HXL-Data-Science-file-formats

f4fe9866e53280767f9cb4c8c488ef9c8b9d33cd

[ "Unlicense" ]

24

2021-01-26T00:36:39.000Z

2021-11-13T23:59:56.000Z

hxlm/core/urn/__init__.py

fititnt/HXL-Data-Science-file-formats

f4fe9866e53280767f9cb4c8c488ef9c8b9d33cd

[ "Unlicense" ]

1

2021-09-05T03:43:37.000Z

"""hxlm.core.urn Author: 2021, Emerson Rocha (Etica.AI) <rocha@ieee.org> License: Public Domain / BSD Zero Clause License SPDX-License-Identifier: Unlicense OR 0BSD """ # __all__ = [ # 'get_entrypoint_type' # ] # from hxlm.core.io.util import ( # noqa # get_entrypoint_type # )

19.333333

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0.924138

0

null

0

null

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null

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null

true

0

null

0

null

0

1

0

null

0

1

0

2

3807c648c7e8c577f9f07493550985bf00ad698b

1,301

py

Python

src/modules/iam/domain/entities.py

pgorecki/python-ddd

0073ccce35c651be263f5d7d3d63f9a49bc0b78a

[ "MIT" ]

10

2022-03-16T19:26:51.000Z

2022-03-31T23:50:51.000Z

src/modules/iam/domain/entities.py

pgorecki/python-ddd

0073ccce35c651be263f5d7d3d63f9a49bc0b78a

[ "MIT" ]

null

src/modules/iam/domain/entities.py

pgorecki/python-ddd

0073ccce35c651be263f5d7d3d63f9a49bc0b78a

[ "MIT" ]

2

2022-03-16T19:26:54.000Z

2022-03-27T13:21:02.000Z

from typing import Optional, List from seedwork.domain.entities import Aggregate from seedwork.domain.value_objects import UUID from modules.iam.domain.value_objects import Session ANONYMOUS_ID = UUID("00000000-0000-0000-0000-000000000000") class User(Aggregate): id: UUID username: str email: str = "" hashed_password: str = "" first_name: Optional[str] = "" last_name: Optional[str] = "" def change_main_attributes( self, username: str = None, first_name: str = None, last_name: str = None, email: str = None, ): if username: self.username = username if first_name: self.first_name = first_name if last_name: self.last_name = last_name if email: self.email = email def activate(self): # TODO: maybe later ... def deactivate(self): # TODO: maybe later ... def is_disabled(self): return False def is_anonymous(self): return self.id == ANONYMOUS_ID def is_active(self): return not self.is_anonymous() and not self.is_disabled() @classmethod def Anonymous(cls): return User( id=ANONYMOUS_ID, username="anonymous", )

22.824561

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0.596464

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1,301

4.986755

0.337748

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0.047809

0.063745

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0

0.035874

0.314374

1,301

56

66

23.232143

0.808296

0.026902

0

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0

0.035629

0.028504

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0.017857

0

1

0.162791

false

0.023256

0.093023

0.511628

0

null

0

null

0

1

0

1

0

2

380a86f4c127e5609e2f3655de7c6c1b7ff361cc

151

py

Python

config/config.py

fujitako03/auto_podcast_share

28018b47312fc82a2d1d202255406925a687f28e

[ "MIT" ]

null

config/config.py

fujitako03/auto_podcast_share

28018b47312fc82a2d1d202255406925a687f28e

[ "MIT" ]

null

config/config.py

fujitako03/auto_podcast_share

28018b47312fc82a2d1d202255406925a687f28e

[ "MIT" ]

1

2021-02-10T16:08:44.000Z

import os SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or "sqlite:///podcast.db" SQLALCHEMY_TRACK_MODIFICATIONS = True SECRET_KEY="9999"

21.571429

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0.794702

21

151

5.428571

0.857143

0

0.028986

0.086093

151

6

83

25.166667

0.797101

0

0.24

0

1

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false

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0

0.25

0

1

0

null

0

1

0

null

0

2

381567161d5bb705100ac5ecc522eadb1932d918

188

py

Python

app/setup.py

wulab/nd004-build-an-item-catalog

e3fd9b2ac94f4e074eb32d0ff6e8851a5a73dde8

[ "MIT" ]

1

2019-04-19T04:10:19.000Z

app/setup.py

wulab/nd004-build-an-item-catalog

e3fd9b2ac94f4e074eb32d0ff6e8851a5a73dde8

[ "MIT" ]

null

app/setup.py

wulab/nd004-build-an-item-catalog

e3fd9b2ac94f4e074eb32d0ff6e8851a5a73dde8

[ "MIT" ]

null

from setuptools import setup setup( name='ItemCatalog', packages=['itemcatalog'], include_package_data=True, install_requires=[ 'Flask', 'Jinja2' ], )

15.666667

30

0.611702

17

188

6.588235

0.882353

0

0.007246

0.265957

188

11

31

17.090909

0.804348

0

0.175532

0

1

0

true

0

0.1

0

0.1

0

1

0

null

0

null

0

1

0

2

38452b9692abc07316dd6e6be7f38c40aaff161f

103

py

Python

smsapi/__init__.py

maciejga/smsapi-python-client

6a3d05cf71ef14d0838341aa120808fa82ae2780

[ "Apache-2.0" ]

null

smsapi/__init__.py

maciejga/smsapi-python-client

6a3d05cf71ef14d0838341aa120808fa82ae2780

[ "Apache-2.0" ]

null

smsapi/__init__.py

maciejga/smsapi-python-client

6a3d05cf71ef14d0838341aa120808fa82ae2780

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- name = 'smsapi-client' version = '2.3.0' lib_info = '%s/%s' % (name, version)

17.166667

36

0.553398

16

103

3.5

0.8125

0

0.047059

0.174757

103

6

36

17.166667

0.611765

0.203884

0

0.283951

0

1

0

false

0

1

0

null

0

1

0

null

0

2

3846fcf8a63fe65ff8773d9c266c68b9ce3e75ce

550

py

Python

django_comments_xtd/apps.py

dlrsp-dev/django-comments-xtd

657ab26a8391ce14f83b4921d327b86f58e1ce22

[ "BSD-2-Clause" ]

null

django_comments_xtd/apps.py

dlrsp-dev/django-comments-xtd

657ab26a8391ce14f83b4921d327b86f58e1ce22

[ "BSD-2-Clause" ]

null

django_comments_xtd/apps.py

dlrsp-dev/django-comments-xtd

657ab26a8391ce14f83b4921d327b86f58e1ce22

[ "BSD-2-Clause" ]

null

from django.apps import AppConfig from django.db.models.signals import pre_save class CommentsXtdConfig(AppConfig): default_auto_field = 'django.db.models.AutoField' name = 'django_comments_xtd' verbose_name = 'Comments Xtd' def ready(self): from django_comments_xtd import get_model from django_comments_xtd.models import publish_or_unpublish_on_pre_save model_app_label = get_model()._meta.label pre_save.connect(publish_or_unpublish_on_pre_save, sender=model_app_label)

32.352941

79

0.736364

73

550

5.164384

0.465753

0.106101

0.135279

0.111406

0.143236

0

0.203636

550

16

80

34.375

0.860731

0

0.103636

0.047273

0

1

0.083333

false

0

0.333333

0

0.75

0

null

0

null

0

1

0

1

0

2

698409c5430a29d8b364cf7035520c135d5ef8d3

528

py

Python

brbanks2ynab/importers/alelo/alelo_alimentacao_card.py

andreroggeri/br-to-ynab

c5d0ef3804bb575badc05ac6dc771f6a9281f955

[ "MIT" ]

5

2021-09-20T13:15:37.000Z

2022-03-01T01:03:27.000Z

brbanks2ynab/importers/alelo/alelo_alimentacao_card.py

andreroggeri/br-to-ynab

c5d0ef3804bb575badc05ac6dc771f6a9281f955

[ "MIT" ]

4

2021-04-28T14:11:42.000Z

2021-10-09T16:18:15.000Z

brbanks2ynab/importers/alelo/alelo_alimentacao_card.py

andreroggeri/br-to-ynab

c5d0ef3804bb575badc05ac6dc771f6a9281f955

[ "MIT" ]

1

2021-09-27T15:13:30.000Z

from typing import Iterable from python_alelo.alelo import TransactionsTime from brbanks2ynab.importers.alelo.base_alelo_importer import BaseAleloImporter from brbanks2ynab.importers.transaction import Transaction class AleloAlimentacaoImporter(BaseAleloImporter): def get_data(self) -> Iterable[Transaction]: card = self._get_card_by_type('ALIMENTACAO') response = self.alelo.get_transactions(card, TransactionsTime.LAST_THREE_MONTHS) return map(self._to_transaction, response['transactions'])

35.2

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528

7.12069

0.534483

0.077482

0.121065

0

0.00432

0.123106

528

14

89

37.714286

0.887689

0

0.043561

0

1

0.111111

false

0

0.555556

0

0.888889

0

null

0

null

0

1

0

1

0

2

6987730a971fc7a137fc9b5f59554fafbf980dc7

275

py

Python

app/app/core/config.py

finalsa/base-fastapi-api

134a14c7bb7ec3d9f9c32beecae2ab8c51e820a3

[ "MIT" ]

null

app/app/core/config.py

finalsa/base-fastapi-api

134a14c7bb7ec3d9f9c32beecae2ab8c51e820a3

[ "MIT" ]

null

app/app/core/config.py

finalsa/base-fastapi-api

134a14c7bb7ec3d9f9c32beecae2ab8c51e820a3

[ "MIT" ]

null

from utils import env_path from pydantic import BaseSettings class Settings(BaseSettings): sql_user: str sql_host: str sql_password: str sql_db: str root_path: str = '' celery_broker: str = 'redis://localhost:6379/0' settings = Settings(env_path)

18.333333

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0.709091

38

275

4.921053

0.578947

0.096257

0

0.022936

0.207273

275

14

52

19.642857

0.834862

0

0.087273

0

1

0

false

0.1

0.2

0

0.9

0

null

0

null

0

1

0

1

0

2

69887cb41864cfdc1a570b0f17117e712b65b516

320

py

Python

pyvo/model/metadata.py

usersnap/pyvo

35a4fe18b27256d5ef5b935fe707bb8fa0767aa9

[ "MIT" ]

null

pyvo/model/metadata.py

usersnap/pyvo

35a4fe18b27256d5ef5b935fe707bb8fa0767aa9

[ "MIT" ]

null

pyvo/model/metadata.py

usersnap/pyvo

35a4fe18b27256d5ef5b935fe707bb8fa0767aa9

[ "MIT" ]

4

2015-02-05T05:07:47.000Z

2019-02-05T10:12:16.000Z

from base import PivotalResource, Instantiated, fields class TimeZone(PivotalResource): olson_name = fields.StringField() offset = fields.StringField() kind = fields.StringField() class Label(Instantiated, PivotalResource): project_id = fields.IntField() name = fields.StringField(required=True)

24.615385

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0.75

32

320

7.4375

0.59375

0.285714

0.176471

0

0.15625

320

12

55

26.666667

0.881481

0

1

0

false

0

0.125

0

1

0

null

1

0

null

0

1

0

2

698898a77abdda8ac3f847c134d4c1b1d929c72e

451

py

Python

packratAgent/Container_test.py

pnhowe/packrat-agent

49b69e8c6308362a8f729b1b3aea08dddb45c435

[ "Apache-2.0" ]

null

packratAgent/Container_test.py

pnhowe/packrat-agent

49b69e8c6308362a8f729b1b3aea08dddb45c435

[ "Apache-2.0" ]

null

packratAgent/Container_test.py

pnhowe/packrat-agent

49b69e8c6308362a8f729b1b3aea08dddb45c435

[ "Apache-2.0" ]

null

import pytest from packratAgent.Container import Container def test_load(): Container( 'test_resources/docker-test_0.0.tar' ) with pytest.raises( ValueError ): Container( 'test_resources/notexist' ) with pytest.raises( ValueError ): Container( 'test_resources' ) def test_layers(): c = Container( 'test_resources/docker-test_0.0.tar' ) assert c.layers == [ 'c9677f6d879e9ff20694405684cc975f7b4fc71d6548ed76a38660da9b9b3cbb' ]

23.736842

91

0.75388

49

451

6.77551

0.408163

0.156627

0.26506

0.168675

0.512048

0.222892

0

0.115979

0.13969

451

18

92

25.055556

0.739691

0

0.181818

0

0.374723

0.343681

0

0.090909

1

0.181818

false

0

0.181818

0

0.363636

0

null

0

1

0

null

0

2

699d1ad9c059195e0c47e225aeab4b76289264b7

3,144

py

Python

mayan/apps/documents/icons.py

prezi/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

4

2019-02-17T08:35:42.000Z

2019-03-28T06:02:11.000Z

mayan/apps/documents/icons.py

zhoubear/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

1

2018-10-11T13:01:34.000Z

mayan/apps/documents/icons.py

prezi/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

3

2019-01-29T13:21:57.000Z

2019-10-27T03:20:15.000Z

from __future__ import absolute_import, unicode_literals from appearance.classes import Icon icon_clear_image_cache = Icon(driver_name='fontawesome', symbol='file-image') icon_dashboard_document_types = Icon( driver_name='fontawesome', symbol='book' ) icon_dashboard_documents_in_trash = Icon( driver_name='fontawesome', symbol='trash' ) icon_dashboard_pages_per_month = Icon( driver_name='fontawesome', symbol='copy' ) icon_dashboard_new_documents_this_month = Icon( driver_name='fontawesome', symbol='calendar' ) icon_dashboard_total_document = Icon( driver_name='fontawesome', symbol='file' ) icon_document_duplicates_list = Icon( driver_name='fontawesome', symbol='clone' ) icon_document_list = Icon(driver_name='fontawesome', symbol='file') icon_document_list_deleted = Icon(driver_name='fontawesome', symbol='trash') icon_document_list_favorites = Icon(driver_name='fontawesome', symbol='star') icon_document_list_recent_access = Icon( driver_name='fontawesome', symbol='clock' ) icon_document_list_recent_added = Icon( driver_name='fontawesome', symbol='asterisk' ) icon_document_page_navigation_first = Icon( driver_name='fontawesome', symbol='step-backward' ) icon_document_page_navigation_last = Icon( driver_name='fontawesome', symbol='step-forward' ) icon_document_page_navigation_next = Icon( driver_name='fontawesome', symbol='arrow-right' ) icon_document_page_navigation_previous = Icon( driver_name='fontawesome', symbol='arrow-left' ) icon_document_page_return = Icon(driver_name='fontawesome', symbol='file') icon_document_page_rotate_left = Icon( driver_name='fontawesome', symbol='undo' ) icon_document_page_rotate_right = Icon( driver_name='fontawesome', symbol='redo' ) icon_document_page_zoom_in = Icon( driver_name='fontawesome', symbol='search-plus' ) icon_document_page_zoom_out = Icon( driver_name='fontawesome', symbol='search-minus' ) icon_document_pages = Icon(driver_name='fontawesome', symbol='copy') icon_document_preview = Icon(driver_name='fontawesome', symbol='eye') icon_document_properties = Icon(driver_name='fontawesome', symbol='info') icon_document_type_create = Icon(driver_name='fontawesome', symbol='plus') icon_document_type_delete = Icon(driver_name='fontawesome', symbol='times') icon_document_type_edit = Icon(driver_name='fontawesome', symbol='pencil-alt') icon_document_type_setup = Icon(driver_name='fontawesome', symbol='file') icon_document_type_filename = Icon( driver_name='fontawesome', symbol='keyboard' ) icon_document_type_filename_create = Icon( driver_name='fontawesome', symbol='plus' ) icon_document_version_list = Icon( driver_name='fontawesome', symbol='code-branch' ) icon_document_version_return_document = Icon( driver_name='fontawesome', symbol='file' ) icon_document_version_return_list = Icon( driver_name='fontawesome', symbol='code-branch' ) icon_duplicated_document_list = Icon( driver_name='fontawesome', symbol='clone' ) icon_duplicated_document_scan = Icon( driver_name='fontawesome', symbol='clone' ) icon_menu_documents = Icon(driver_name='fontawesome', symbol='file')

35.727273

78

0.788168

394

3,144

5.878173

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0.15544

0.217617

0.388601

0.617012

0.469775

0.328584

0.234456

0.135579

0

0.093511

3,144

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36.137931

0.812632

0

0.083333

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false

0

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0

0.02381

0

null

0

1

0

null

0

2

69acec2e969036a9adecbdd35afcb235df6cfe4b

934

py

Python

django_geopostcodes/tests/test_helpers.py

alexhayes/django-geopostcodes

325c7306e5939a576571e49b0889d08a0d138dfa

[ "MIT" ]

2

2015-10-22T03:44:16.000Z

2017-12-20T00:43:26.000Z

django_geopostcodes/tests/test_helpers.py

alexhayes/django-geopostcodes

325c7306e5939a576571e49b0889d08a0d138dfa

[ "MIT" ]

null

django_geopostcodes/tests/test_helpers.py

alexhayes/django-geopostcodes

325c7306e5939a576571e49b0889d08a0d138dfa

[ "MIT" ]

1

2016-04-27T20:05:56.000Z

# -*- coding: utf-8 -*- """ django_geopostcodes.tests.test_helpers ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Test :py:module:`django_geopostcodes.helpers`. """ from __future__ import absolute_import, print_function, unicode_literals import os try: # django 1.7 from django.utils.unittest import TestCase except ImportError: # django 1.8+ from django.test import TestCase from ..helpers import import_localities from ..models import Locality def create_sample_localities(): import_localities(os.path.join(os.path.dirname(__file__), 'fixtures', 'Sample_GeoPC_AU_Places.csv'), "\t") class ImportLocalitiesTestCase(TestCase): def test_import_localities(self): self.assertEqual(Locality.objects.count(), 0) create_sample_localities() self.assertEqual(Locality.objects.count(), 100)

26.685714

72

0.630621

97

934

5.814433

0.525773

0.085106

0.078014

0.106383

0.124113

0

0.012587

0.234475

934

34

73

27.470588

0.776224

0.183084

0

0.048583

0.035088

0

0.111111

1

0.111111

false

0

0.555556

0

0.722222

0.055556

0

null

0

null

0

1

0

1

0

2

69bb85f1fbbfd8762e60727698d21b25055ac9ab

27,271

py

Python

pysnmp-with-texts/CISCO-ENTITY-FRU-CONTROL-CAPABILITY.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/CISCO-ENTITY-FRU-CONTROL-CAPABILITY.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/CISCO-ENTITY-FRU-CONTROL-CAPABILITY.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module CISCO-ENTITY-FRU-CONTROL-CAPABILITY (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-ENTITY-FRU-CONTROL-CAPABILITY # Produced by pysmi-0.3.4 at Wed May 1 11:57:00 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, SingleValueConstraint, ValueRangeConstraint, ValueSizeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "SingleValueConstraint", "ValueRangeConstraint", "ValueSizeConstraint", "ConstraintsIntersection") ciscoAgentCapability, = mibBuilder.importSymbols("CISCO-SMI", "ciscoAgentCapability") AgentCapabilities, ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "AgentCapabilities", "ModuleCompliance", "NotificationGroup") Integer32, iso, Unsigned32, Bits, ObjectIdentity, Gauge32, ModuleIdentity, TimeTicks, NotificationType, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64, MibIdentifier, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "iso", "Unsigned32", "Bits", "ObjectIdentity", "Gauge32", "ModuleIdentity", "TimeTicks", "NotificationType", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64", "MibIdentifier", "IpAddress") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") ciscoEntityFruControlCapability = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 7, 264)) ciscoEntityFruControlCapability.setRevisions(('2011-09-25 00:00', '2009-12-14 00:00', '2009-07-30 00:00', '2009-03-25 00:00', '2009-03-11 00:00', '2008-10-28 00:00', '2008-03-24 00:00', '2007-09-06 00:00', '2007-08-31 00:00', '2007-07-19 00:00', '2006-06-21 00:00', '2006-04-19 00:00', '2006-03-16 00:00', '2006-01-31 00:00', '2005-07-12 00:00', '2005-03-09 00:00', '2004-09-15 00:00', '2004-01-15 00:00', '2003-09-15 00:00', '2002-03-20 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: ciscoEntityFruControlCapability.setRevisionsDescriptions(('Added capabilities ciscoEfcCapV15R0001SYPCat6K.', 'Added capability ciscoEfcCapV15R01TP39XXE', 'Added capabilities for ciscoEfcCapV12R04TP3925E, and ciscoEfcCapV12R04TP3945E', 'Added capabilities for ciscoEfcCapV12R04TP3845nv, ciscoEfcCapV12R04TP3825nv, ciscoEfcCapV12R04TP1941, ciscoEfcCapV12R04TP29XX, ciscoEfcCapV12R04TP3925 and ciscoEfcCapV12R04TP3945', 'The capability statement ciscoEfcCapIOSXRV3R08CRS1 has been added.', 'Added capabilities ciscoEfcCapV12R0233SXIPCat6K.', 'The capability statement ciscoEfcCapIOSXRV3R06CRS1 has been added.', 'Added capabilities ciscoEfcCapabilityV12R05TP32xx for 3200 platform.', 'Added capabilities ciscoEfcCapV12R0233SXHPCat6K.', 'Added capabilities ciscoEfcCapabilityV05R05PMGX8850 for MGX8850 platform.', '- Added capabilities ciscoEfcCapV12R05TP18xx and ciscoEfcCapV12R05TP2801 for IOS 12.4T on platforms 18xx and 2801.', '- Added Agent capabilities ciscoEfcCapACSWV03R000 for Cisco Application Control Engine (ACE).', '- Add VARIATIONs for notifications cefcModuleStatusChange, cefcPowerStatusChange, cefcFRUInserted and cefcFRURemoved in ciscoEfcCapabilityCatOSV08R0101, ciscoEfcCapabilityCatOSV08R0301 and ciscoEfcCapCatOSV08R0501.', '- Added ciscoEfcCapSanOSV21R1MDS9000 for SAN OS 2.1(1) on MDS 9000 series devices. - Added ciscoEfcCapSanOSV30R1MDS9000 for SAN OS 3.0(1) on MDS 9000 series devices.', '- Added ciscoEfcCapCatOSV08R0501.', '- Added capabilities ciscoEfcCapV12R04TP26XX ciscoEfcCapV12R04TP28XX, ciscoEfcCapV12R04TP3725, ciscoEfcCapV12R04TP3745, ciscoEfcCapV12R04TP3825, ciscoEfcCapV12R04TP3845, ciscoEfcCapV12R04TPIAD243X, ciscoEfcCapV12R04TPVG224 for IOS 12.4T on platforms 26xx, 28xx, 37xx, 38xx, IAD243x, VG224', '- Added ciscoEfcCapabilityV12R03P5XXX for IOS 12.3 on Access Server Platforms (AS5350, AS5400 and AS5850).', '- Added ciscoEfcCapV12RO217bSXACat6K. - Added ciscoEfcCapabilityCatOSV08R0301.', '- Added ciscoEfcCapabilityV12R0119ECat6K for IOS 12.1(19E) on Catalyst 6000/6500 and Cisco 7600 series devices. - Added ciscoEfcCapabilityV12RO217SXCat6K for IOS 12.2(17SX) on Catalyst 6000/6500 and Cisco 7600 series devices. - Added ciscoEfcCapabilityCatOSV08R0101 for Cisco CatOS 8.1(1).', 'Initial version of the MIB Module. - The ciscoEntityFruControlCapabilityV2R00 is for MGX8850 and BPX SES platform. - The ciscoEntityFRUControlCapabilityV12R00SGSR is for GSR platform.',)) if mibBuilder.loadTexts: ciscoEntityFruControlCapability.setLastUpdated('201109250000Z') if mibBuilder.loadTexts: ciscoEntityFruControlCapability.setOrganization('Cisco Systems, Inc.') if mibBuilder.loadTexts: ciscoEntityFruControlCapability.setContactInfo('Cisco Systems Customer Service Postal: 170 W Tasman Drive San Jose, CA 95134 USA Tel: +1 800 553-NETS E-mail: cs-snmp@cisco.com cs-lan-switch-snmp@cisco.com') if mibBuilder.loadTexts: ciscoEntityFruControlCapability.setDescription('The Agent Capabilities for CISCO-ENTITY-FRU-CONTROL-MIB.') ciscoEntityFruControlCapabilityV2R00 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 1)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntityFruControlCapabilityV2R00 = ciscoEntityFruControlCapabilityV2R00.setProductRelease('MGX8850 Release 2.00,\n BPX SES Release 1.00') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntityFruControlCapabilityV2R00 = ciscoEntityFruControlCapabilityV2R00.setStatus('current') if mibBuilder.loadTexts: ciscoEntityFruControlCapabilityV2R00.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB Capabilities') ciscoEntityFRUControlCapabilityV12R00SGSR = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 2)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntityFRUControlCapabilityV12R00SGSR = ciscoEntityFRUControlCapabilityV12R00SGSR.setProductRelease('Cisco IOS 12.0S for GSR') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEntityFRUControlCapabilityV12R00SGSR = ciscoEntityFRUControlCapabilityV12R00SGSR.setStatus('current') if mibBuilder.loadTexts: ciscoEntityFRUControlCapabilityV12R00SGSR.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities for GSR platform.') ciscoEfcCapabilityV12R0119ECat6K = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 3)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12R0119ECat6K = ciscoEfcCapabilityV12R0119ECat6K.setProductRelease('Cisco IOS 12.1(19E) on Catalyst 6000/6500\n and Cisco 7600 series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12R0119ECat6K = ciscoEfcCapabilityV12R0119ECat6K.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityV12R0119ECat6K.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapabilityV12RO217SXCat6K = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 4)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12RO217SXCat6K = ciscoEfcCapabilityV12RO217SXCat6K.setProductRelease('Cisco IOS 12.2(17SX) on Catalyst 6000/6500\n and Cisco 7600 series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12RO217SXCat6K = ciscoEfcCapabilityV12RO217SXCat6K.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityV12RO217SXCat6K.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapabilityCatOSV08R0101 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 5)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityCatOSV08R0101 = ciscoEfcCapabilityCatOSV08R0101.setProductRelease('Cisco CatOS 8.1(1).') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityCatOSV08R0101 = ciscoEfcCapabilityCatOSV08R0101.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityCatOSV08R0101.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapV12RO217bSXACat6K = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 6)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12RO217bSXACat6K = ciscoEfcCapV12RO217bSXACat6K.setProductRelease('Cisco IOS 12.2(17b)SXA on Catalyst 6000/6500\n and Cisco 7600 series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12RO217bSXACat6K = ciscoEfcCapV12RO217bSXACat6K.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12RO217bSXACat6K.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapabilityCatOSV08R0301 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 7)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityCatOSV08R0301 = ciscoEfcCapabilityCatOSV08R0301.setProductRelease('Cisco CatOS 8.3(1) on Catalyst 6000/6500\n and Cisco 7600 series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityCatOSV08R0301 = ciscoEfcCapabilityCatOSV08R0301.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityCatOSV08R0301.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapabilityV12R03P5XXX = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 8)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12R03P5XXX = ciscoEfcCapabilityV12R03P5XXX.setProductRelease('Cisco IOS 12.3 for Access Server Platforms\n AS5350, AS5400 and AS5850.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12R03P5XXX = ciscoEfcCapabilityV12R03P5XXX.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityV12R03P5XXX.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapV12R04TP3725 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 9)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3725 = ciscoEfcCapV12R04TP3725.setProductRelease('Cisco IOS 12.4T for c3725 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3725 = ciscoEfcCapV12R04TP3725.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3725.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapV12R04TP3745 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 10)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3745 = ciscoEfcCapV12R04TP3745.setProductRelease('Cisco IOS 12.4T for c3745 Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3745 = ciscoEfcCapV12R04TP3745.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3745.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP26XX = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 11)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP26XX = ciscoEfcCapV12R04TP26XX.setProductRelease('Cisco IOS 12.4T for c26xx XM Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP26XX = ciscoEfcCapV12R04TP26XX.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP26XX.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TPIAD243X = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 12)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TPIAD243X = ciscoEfcCapV12R04TPIAD243X.setProductRelease('Cisco IOS 12.4T for IAD 243x Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TPIAD243X = ciscoEfcCapV12R04TPIAD243X.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TPIAD243X.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TPVG224 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 13)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TPVG224 = ciscoEfcCapV12R04TPVG224.setProductRelease('Cisco IOS 12.4T for VG224 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TPVG224 = ciscoEfcCapV12R04TPVG224.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TPVG224.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP2691 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 14)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP2691 = ciscoEfcCapV12R04TP2691.setProductRelease('Cisco IOS 12.4T for c2691 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP2691 = ciscoEfcCapV12R04TP2691.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP2691.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP28XX = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 15)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP28XX = ciscoEfcCapV12R04TP28XX.setProductRelease('Cisco IOS 12.4T for c28xx Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP28XX = ciscoEfcCapV12R04TP28XX.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP28XX.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP3825 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 16)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3825 = ciscoEfcCapV12R04TP3825.setProductRelease('Cisco IOS 12.4T for c3825 Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3825 = ciscoEfcCapV12R04TP3825.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3825.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP3845 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 17)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3845 = ciscoEfcCapV12R04TP3845.setProductRelease('Cisco IOS 12.4T for c3845 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3845 = ciscoEfcCapV12R04TP3845.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3845.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapCatOSV08R0501 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 18)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapCatOSV08R0501 = ciscoEfcCapCatOSV08R0501.setProductRelease('Cisco CatOS 8.5(1) on Catalyst 6000/6500\n and Cisco 7600 series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapCatOSV08R0501 = ciscoEfcCapCatOSV08R0501.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapCatOSV08R0501.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapSanOSV21R1MDS9000 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 19)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapSanOSV21R1MDS9000 = ciscoEfcCapSanOSV21R1MDS9000.setProductRelease('Cisco SanOS 2.1(1) on Cisco MDS 9000 series\n devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapSanOSV21R1MDS9000 = ciscoEfcCapSanOSV21R1MDS9000.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapSanOSV21R1MDS9000.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapSanOSV30R1MDS9000 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 20)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapSanOSV30R1MDS9000 = ciscoEfcCapSanOSV30R1MDS9000.setProductRelease('Cisco SanOS 3.0(1) on Cisco MDS 9000 series\n devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapSanOSV30R1MDS9000 = ciscoEfcCapSanOSV30R1MDS9000.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapSanOSV30R1MDS9000.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapACSWV03R000 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 21)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapACSWV03R000 = ciscoEfcCapACSWV03R000.setProductRelease('ACSW (Application Control Software) 3.0') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapACSWV03R000 = ciscoEfcCapACSWV03R000.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapACSWV03R000.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapV12R05TP18xx = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 22)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R05TP18xx = ciscoEfcCapV12R05TP18xx.setProductRelease('Cisco IOS 12.5T for c18xx Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R05TP18xx = ciscoEfcCapV12R05TP18xx.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R05TP18xx.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R05TP2801 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 23)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R05TP2801 = ciscoEfcCapV12R05TP2801.setProductRelease('Cisco IOS 12.5T for c2801 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R05TP2801 = ciscoEfcCapV12R05TP2801.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R05TP2801.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapabilityV05R05PMGX8850 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 24)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV05R05PMGX8850 = ciscoEfcCapabilityV05R05PMGX8850.setProductRelease('MGX8850 Release 5.5') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV05R05PMGX8850 = ciscoEfcCapabilityV05R05PMGX8850.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityV05R05PMGX8850.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB Capabilities for the following modules of MGX8850: AXSM-XG, MPSM-T3E3-155, MPSM-16-T1E1, PXM1E, PXM45, VXSM and VISM.') ciscoEfcCapV12R0233SXHPCat6K = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 25)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R0233SXHPCat6K = ciscoEfcCapV12R0233SXHPCat6K.setProductRelease('Cisco IOS 12.2(33)SXH on Catalyst 6000/6500\n series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R0233SXHPCat6K = ciscoEfcCapV12R0233SXHPCat6K.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R0233SXHPCat6K.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapabilityV12R05TP32xx = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 26)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12R05TP32xx = ciscoEfcCapabilityV12R05TP32xx.setProductRelease('Cisco IOS 12.5T for Cisco 3200 series routers') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapabilityV12R05TP32xx = ciscoEfcCapabilityV12R05TP32xx.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapabilityV12R05TP32xx.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities for 3220, 3250 and 3270 routers.') ciscoEfcCapIOSXRV3R06CRS1 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 27)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapIOSXRV3R06CRS1 = ciscoEfcCapIOSXRV3R06CRS1.setProductRelease('Cisco IOS-XR Release 3.6 for CRS-1.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapIOSXRV3R06CRS1 = ciscoEfcCapIOSXRV3R06CRS1.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapIOSXRV3R06CRS1.setDescription('Agent capabilities for IOS-XR Release 3.6 for CRS-1.') ciscoEfcCapV12R0233SXIPCat6K = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 28)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R0233SXIPCat6K = ciscoEfcCapV12R0233SXIPCat6K.setProductRelease('Cisco IOS 12.2(33)SXI on Catalyst 6000/6500\n series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R0233SXIPCat6K = ciscoEfcCapV12R0233SXIPCat6K.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R0233SXIPCat6K.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') ciscoEfcCapIOSXRV3R08CRS1 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 29)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapIOSXRV3R08CRS1 = ciscoEfcCapIOSXRV3R08CRS1.setProductRelease('Cisco IOS-XR Release 3.8 for CRS-1.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapIOSXRV3R08CRS1 = ciscoEfcCapIOSXRV3R08CRS1.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapIOSXRV3R08CRS1.setDescription('Agent capabilities for IOS-XR Release 3.8 for CRS-1.') ciscoEfcCapV12R04TP3845nv = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 30)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3845nv = ciscoEfcCapV12R04TP3845nv.setProductRelease('Cisco IOS 12.4(22)YB1 for c3845nv Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3845nv = ciscoEfcCapV12R04TP3845nv.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3845nv.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP3825nv = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 31)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3825nv = ciscoEfcCapV12R04TP3825nv.setProductRelease('Cisco IOS 12.4(22)YB1 for c3825nv Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3825nv = ciscoEfcCapV12R04TP3825nv.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3825nv.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP1941 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 32)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP1941 = ciscoEfcCapV12R04TP1941.setProductRelease('Cisco IOS 12.4T for c1941 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP1941 = ciscoEfcCapV12R04TP1941.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP1941.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP29XX = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 33)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP29XX = ciscoEfcCapV12R04TP29XX.setProductRelease('Cisco IOS 12.4T for c29xx Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP29XX = ciscoEfcCapV12R04TP29XX.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP29XX.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP3925 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 34)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3925 = ciscoEfcCapV12R04TP3925.setProductRelease('Cisco IOS 12.4T for c3925 Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3925 = ciscoEfcCapV12R04TP3925.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3925.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV12R04TP3945 = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 35)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3945 = ciscoEfcCapV12R04TP3945.setProductRelease('Cisco IOS 12.4T for c3945 Platform') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV12R04TP3945 = ciscoEfcCapV12R04TP3945.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV12R04TP3945.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV15R01TP39XXE = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 36)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV15R01TP39XXE = ciscoEfcCapV15R01TP39XXE.setProductRelease('Cisco IOS 15.1T for c3925SPE200/c3925SPE250\n c3945SPE200/c3945SPE250 Platforms') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV15R01TP39XXE = ciscoEfcCapV15R01TP39XXE.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV15R01TP39XXE.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities') ciscoEfcCapV15R0001SYPCat6K = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 264, 37)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV15R0001SYPCat6K = ciscoEfcCapV15R0001SYPCat6K.setProductRelease('Cisco IOS 15.0(1)SY on Catalyst 6000/6500 \n series devices.') if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): ciscoEfcCapV15R0001SYPCat6K = ciscoEfcCapV15R0001SYPCat6K.setStatus('current') if mibBuilder.loadTexts: ciscoEfcCapV15R0001SYPCat6K.setDescription('CISCO-ENTITY-FRU-CONTROL-MIB capabilities.') mibBuilder.exportSymbols("CISCO-ENTITY-FRU-CONTROL-CAPABILITY", ciscoEfcCapV12R04TP3745=ciscoEfcCapV12R04TP3745, ciscoEfcCapV12R04TP3925=ciscoEfcCapV12R04TP3925, ciscoEfcCapV12RO217bSXACat6K=ciscoEfcCapV12RO217bSXACat6K, ciscoEfcCapV12R04TPIAD243X=ciscoEfcCapV12R04TPIAD243X, ciscoEfcCapV12R05TP2801=ciscoEfcCapV12R05TP2801, ciscoEfcCapIOSXRV3R08CRS1=ciscoEfcCapIOSXRV3R08CRS1, PYSNMP_MODULE_ID=ciscoEntityFruControlCapability, ciscoEfcCapabilityV12R0119ECat6K=ciscoEfcCapabilityV12R0119ECat6K, ciscoEfcCapACSWV03R000=ciscoEfcCapACSWV03R000, ciscoEfcCapV12R04TP2691=ciscoEfcCapV12R04TP2691, ciscoEfcCapV12R04TP1941=ciscoEfcCapV12R04TP1941, ciscoEfcCapV12R04TP28XX=ciscoEfcCapV12R04TP28XX, ciscoEfcCapSanOSV21R1MDS9000=ciscoEfcCapSanOSV21R1MDS9000, ciscoEntityFruControlCapability=ciscoEntityFruControlCapability, ciscoEfcCapV15R0001SYPCat6K=ciscoEfcCapV15R0001SYPCat6K, ciscoEfcCapabilityCatOSV08R0101=ciscoEfcCapabilityCatOSV08R0101, ciscoEfcCapV12R04TPVG224=ciscoEfcCapV12R04TPVG224, ciscoEfcCapV12R04TP3845=ciscoEfcCapV12R04TP3845, ciscoEfcCapCatOSV08R0501=ciscoEfcCapCatOSV08R0501, ciscoEfcCapV12R04TP26XX=ciscoEfcCapV12R04TP26XX, ciscoEfcCapabilityV05R05PMGX8850=ciscoEfcCapabilityV05R05PMGX8850, ciscoEfcCapV12R04TP3725=ciscoEfcCapV12R04TP3725, ciscoEfcCapV12R04TP3825=ciscoEfcCapV12R04TP3825, ciscoEntityFRUControlCapabilityV12R00SGSR=ciscoEntityFRUControlCapabilityV12R00SGSR, ciscoEfcCapSanOSV30R1MDS9000=ciscoEfcCapSanOSV30R1MDS9000, ciscoEfcCapV12R0233SXHPCat6K=ciscoEfcCapV12R0233SXHPCat6K, ciscoEfcCapV15R01TP39XXE=ciscoEfcCapV15R01TP39XXE, ciscoEfcCapIOSXRV3R06CRS1=ciscoEfcCapIOSXRV3R06CRS1, ciscoEfcCapV12R05TP18xx=ciscoEfcCapV12R05TP18xx, ciscoEfcCapabilityV12RO217SXCat6K=ciscoEfcCapabilityV12RO217SXCat6K, ciscoEfcCapV12R04TP29XX=ciscoEfcCapV12R04TP29XX, ciscoEfcCapV12R04TP3945=ciscoEfcCapV12R04TP3945, ciscoEfcCapV12R0233SXIPCat6K=ciscoEfcCapV12R0233SXIPCat6K, ciscoEfcCapabilityV12R05TP32xx=ciscoEfcCapabilityV12R05TP32xx, ciscoEfcCapV12R04TP3825nv=ciscoEfcCapV12R04TP3825nv, ciscoEntityFruControlCapabilityV2R00=ciscoEntityFruControlCapabilityV2R00, ciscoEfcCapabilityV12R03P5XXX=ciscoEfcCapabilityV12R03P5XXX, ciscoEfcCapabilityCatOSV08R0301=ciscoEfcCapabilityCatOSV08R0301, ciscoEfcCapV12R04TP3845nv=ciscoEfcCapV12R04TP3845nv)

110.408907

2,443

0.771442

2,894

27,271

7.268832

0.111956

0.014261

0.067741

0.092698

0.612854

0.526478

0.495199

0.416477

0.397129

0.396606

0

0.161952

0.105643

27,271

246

2,444

110.857724

0.700533

0.013348

0

0.315126

0

0.046218

0.290431

0.086252

0

1

0

false

0

0.029412

0

0.029412

0

null

0

1

0

null

0

2

69d6522610d51eb21496328d36ff363d78f0cc7f

1,235

py

Python

src/classes/__init__.py

fedecalendino/binging-stonks

80da73c501a490d44b5dfa1f45943d8ae0e0c613

[ "MIT" ]

1

2020-09-14T10:33:16.000Z

src/classes/__init__.py

fedecalendino/binging-stonks

80da73c501a490d44b5dfa1f45943d8ae0e0c613

[ "MIT" ]

null

src/classes/__init__.py

fedecalendino/binging-stonks

80da73c501a490d44b5dfa1f45943d8ae0e0c613

[ "MIT" ]

1

2020-05-07T08:19:43.000Z

from slugify import slugify class Episode: def __init__(self, index, season, number, title, score): self.index = index self.season = season self.number = number self.title = title self.score = score @property def label(self): return f"{self.season:02d}x{self.number:02d}" def __str__(self): return f"{self.label}: {self.title}" class Show: def __init__(self, imdb_id: str, title: str, seasons: int): self.imdb_id = imdb_id self.title = title self.slug = slugify(title) self.plot = None self.year = None self.poster = None self.rating = None self.votes = None self.seasons = {season: [] for season in range(1, seasons + 1)} @property def season_count(self): return len(self.seasons) @property def episode_count(self): return sum(map(len, self.seasons.values())) def add_episode(self, season: int, episode: Episode): self.seasons[season].append(episode) @property def url(self): return f"https://www.imdb.com/title/{self.imdb_id}" def __str__(self): return f"({self.year}) {self.title} - {self.rating}"

23.75

71

0.597571

159

1,235

4.496855

0.295597

0.083916

0.061538

0.062937

0.058741

0

0.006757

0.280972

1,235

51

72

24.215686

0.798423

0

0.216216

0

0.116599

0.02834

0

1

0.243243

false

0

0.027027

0.162162

0.486486

0

null

0

null

0

1

0

1

0

2

69df6a49f85c52c465cb70d0227ada39212e51ca

1,333

py

Python

src/model.py

kanekomasahiro/dict-debias

3d2937286fe5a512b5b52e51615a787f9b734a12

[ "MIT" ]

2

2021-01-30T10:52:24.000Z

2021-09-16T21:02:35.000Z

src/model.py

kanekomasahiro/dict-debias

3d2937286fe5a512b5b52e51615a787f9b734a12

[ "MIT" ]

null

src/model.py

kanekomasahiro/dict-debias

3d2937286fe5a512b5b52e51615a787f9b734a12

[ "MIT" ]

null

import torch import torch.nn as nn from torch import cuda class GradReverse(torch.autograd.Function): def __init__(self, lambd): self.lambd = lambd def forward(self, x): return x.view_as(x) def backward(self, grad_output): return (grad_output * -self.lambd) class Encoder(nn.Module): def __init__(self, emb_size, hidden_size, dropout_rate=0.): super(Encoder, self).__init__() self.hidden_layer = nn.Linear(emb_size, hidden_size) self.dropout = nn.Dropout(p=dropout_rate) self.tanh = nn.Tanh() def forward(self, emb): hidden = self.tanh(self.hidden_layer(self.dropout(emb))) return hidden class Decoder(nn.Module): def __init__(self, hidden_size, emb_size, dropout_rate=0., grad_reverse_flag=False): super(Decoder, self).__init__() self.output_layer = nn.Linear(hidden_size, emb_size) self.grad_reverse_flag = grad_reverse_flag self.dropout = nn.Dropout(p=dropout_rate) self.tanh = nn.Tanh() if self.grad_reverse_flag: self.grad_reverse = GradReverse(-1) def forward(self, hidden): if self.grad_reverse_flag: hidden = self.grad_reverse(hidden) output = self.tanh(self.output_layer(self.dropout(hidden))) return output

24.685185

88

0.657164

179

1,333

4.608939

0.223464

0.093333

0.090909

0.069091

0.208485

0.111515

0

0.002944

0.235559

1,333

53

89

25.150943

0.806673

0

0.181818

0

1

0.212121

false

0

0.090909

0.060606

0.515152

0

null

0

null

0

1

0

1

0

2

69dfeabb0e21460af5f5681ea274047074c400ce

917

py

Python

mission/missions/old/2017/printer.py

cuauv/software

5ad4d52d603f81a7f254f365d9b0fe636d03a260

[ "BSD-3-Clause" ]

70

2015-11-16T18:04:01.000Z

2022-03-05T09:04:02.000Z

mission/missions/old/2017/printer.py

cuauv/software

5ad4d52d603f81a7f254f365d9b0fe636d03a260

[ "BSD-3-Clause" ]

1

2016-08-03T05:13:19.000Z

2016-08-03T06:19:39.000Z

mission/missions/old/2017/printer.py

cuauv/software

5ad4d52d603f81a7f254f365d9b0fe636d03a260

[ "BSD-3-Clause" ]

34

2015-12-15T17:29:23.000Z

2021-11-18T14:15:12.000Z

from mission.framework.task import Task from mission.framework.timing import Timer # TODO: Documentation! class Printer(Task): def __init__(self): super().__init__() self.timer_task = None # type: Task def on_first_run(self, *args, **kwargs): self.timer_task = Timer(5) self.timer_task() # FIXME: This is because without a run, no parameter is passed? print("First run called with args {} and kwargs {}.".format(args, kwargs)) def on_run(self, *args, **kwargs): print("Running for {} seconds. Timer.is_finished(): {}".format(self.this_run_time - self.first_run_time, self.timer_task.finished)) if self.timer_task.finished: self.finish() def on_finish(self, *args, **kwargs): print("Finish called with args {} and kwargs {}.".format(args, kwargs))

38.208333

112

0.605234

114

917

4.675439

0.385965

0.084428

0.121951

0.06379

0.146341

0

0.001502

0.273719

917

24

113

38.208333

0.798799

0.101418

0

0.16078

0

0.041667

0

1

0.235294

false

0

0.117647

0

0.411765

0.176471

0

null

0

null

0

1

0

1

0

2

69e20aa6019f34e30c2e8bdc1dfd421874240ce2

1,053

py

Python

backend/app/api/db/baseClass.py

PY-GZKY/fastapi-crawl-admin

6535054994d11e3c31b4caeae65e8fa0f495d2b7

[ "MIT" ]

13

2021-07-25T15:26:04.000Z

2022-03-02T12:12:02.000Z

backend/app/api/db/baseClass.py

PY-GZKY/fastapi-crawl-admin

6535054994d11e3c31b4caeae65e8fa0f495d2b7

[ "MIT" ]

1

2021-07-26T03:26:09.000Z

2021-07-26T09:05:38.000Z

backend/app/api/db/baseClass.py

PY-GZKY/fastapi-crawl-admin

6535054994d11e3c31b4caeae65e8fa0f495d2b7

[ "MIT" ]

3

2021-07-26T01:44:24.000Z

2021-07-31T14:31:49.000Z

import uuid from sqlalchemy.ext.declarative import as_declarative, declared_attr @as_declarative() class Base: # 通用的字段 # id = Column(Integer, primary_key=True, index=True, autoincrement=True) # create_time = Column(DateTime, default=datetime.now, server_default=func.now(), comment="创建时间") # update_time = Column(DateTime, default=datetime.now, onupdate=datetime.now, server_default=func.now(),server_onupdate=func.now(), comment="更新时间") # is_delete = Column(Integer, default=0, comment="逻辑删除:0=未删除,1=删除", server_default='0') __name__: str # Generate __tablename__ automatically @declared_attr def __tablename__(cls) -> str: import re # 如果没有指定__tablename__ 则默认使用model类名转换表名字 name_list = re.findall(r"[A-Z][a-z\d]*", cls.__name__) # 表名格式替换成下划线_格式如 MallUser 替换成 mall_user return "_".join(name_list).lower() @declared_attr def __table_args__(cls) -> dict: return {'extend_existing': True} # 创建时跳过已创建的表 def gen_uuid() -> str: return uuid.uuid4().hex

33.967742

151

0.694207

135

1,053

5.081481

0.555556

0.052478

0.072886

0.1793

0

0.0058

0.181387

1,053

30

152

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null

0

null

0

1

0

2

69fa7c5aea349367c3fcdcee4a19ce7b7132c235

4,191

py

Python

backend/shop/migrations/0002_bookmark_cartitem_order_orderitem.py

mmohajer9/merchant

f76d81b9de6c0894bf62a26b07b7f9ea98ddd480

[ "MIT" ]

4

2021-07-31T17:10:55.000Z

2021-11-08T12:55:37.000Z

backend/shop/migrations/0002_bookmark_cartitem_order_orderitem.py

mmohajer9/merchant

f76d81b9de6c0894bf62a26b07b7f9ea98ddd480

[ "MIT" ]

null

backend/shop/migrations/0002_bookmark_cartitem_order_orderitem.py

mmohajer9/merchant

f76d81b9de6c0894bf62a26b07b7f9ea98ddd480

[ "MIT" ]

null

# Generated by Django 3.2.4 on 2021-06-16 12:22 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('shop', '0001_initial'), ] operations = [ migrations.CreateModel( name='Order', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('status', models.CharField(choices=[('pending', 'pending'), ('finished', 'finished'), ('aborted', 'aborted')], max_length=100, verbose_name='Status')), ('created_at', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Created at')), ('updated_at', models.DateTimeField(auto_now=True, null=True, verbose_name='Updated at')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='User')), ], options={ 'verbose_name': 'Order', 'verbose_name_plural': 'Orders', }, ), migrations.CreateModel( name='OrderItem', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField(default=1, verbose_name='Quantity')), ('price', models.DecimalField(decimal_places=2, max_digits=30, verbose_name='Order')), ('created_at', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Created at')), ('updated_at', models.DateTimeField(auto_now=True, null=True, verbose_name='Updated at')), ('order', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='shop.order', verbose_name='Order')), ('product', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='shop.product', verbose_name='Product')), ], options={ 'verbose_name': 'Order Item', 'verbose_name_plural': 'Order Items', }, ), migrations.CreateModel( name='CartItem', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('quantity', models.IntegerField(default=1, verbose_name='Quantity of product')), ('created_at', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Created at')), ('updated_at', models.DateTimeField(auto_now=True, null=True, verbose_name='Updated at')), ('product', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='shop.product', verbose_name='Product')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='User')), ], options={ 'verbose_name': 'Cart Item', 'verbose_name_plural': 'Cart Items', }, ), migrations.CreateModel( name='Bookmark', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('description', models.CharField(blank=True, max_length=500, null=True, verbose_name='Description')), ('created_at', models.DateTimeField(auto_now_add=True, null=True, verbose_name='Created at')), ('updated_at', models.DateTimeField(auto_now=True, null=True, verbose_name='Updated at')), ('product', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='shop.product', verbose_name='Product')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='User')), ], options={ 'verbose_name': 'Bookmark', 'verbose_name_plural': 'Bookmarks', }, ), ]

54.428571

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441

4,191

5.564626

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0.055012

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0.673594

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0.249821

4,191

76

169

55.144737

0.770992

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0.085714

0

null

0

1

0

1

0

null

0

2

0e078aacba03c5302ce071565e2930191f891c54

251

py

Python

old/src/utils/views.py

Almazishe/portfolio

a69deded88e761ae06bf817646609c5237afb045

[ "MIT" ]

null

old/src/utils/views.py

Almazishe/portfolio

a69deded88e761ae06bf817646609c5237afb045

[ "MIT" ]

null

old/src/utils/views.py

Almazishe/portfolio

a69deded88e761ae06bf817646609c5237afb045

[ "MIT" ]

null

import uuid import os def get_path(instance, filename, folder): """ Function to make 'upload_to' value of ImageField's """ ext = filename.split('.')[-1] filename = "%s.%s" % (uuid.uuid4(), ext) return os.path.join(folder, filename)

22.818182

62

0.641434

35

251

4.542857

0.657143

0

0.009852

0.191235

251

10

63

25.1

0.773399

0.199203

0

0.031088

0

1

0.166667

false

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

2

3852cc63b89c58d8ee6c55b86d7297667fc86e07

1,821

py

Python

nettica_zonedump.py

eugenetaranov/mtools

786817c22e3b22e5ad729fd494ffb9684eabee45

[ "MIT" ]

null

nettica_zonedump.py

eugenetaranov/mtools

786817c22e3b22e5ad729fd494ffb9684eabee45

[ "MIT" ]

null

nettica_zonedump.py

eugenetaranov/mtools

786817c22e3b22e5ad729fd494ffb9684eabee45

[ "MIT" ]

null

#!/usr/bin/env python """ Usage: zonedump.py <domain> Dumps SOA, NS, A, MX, TXT records for the specified zone into file in nsupdate format """ netticauser = '' netticapasswd = '' netticaurl = 'https://www.nettica.com/DNS/DnsApi.asmx?WSDL' server = '127.0.0.1' zonestorage = '' import base64 import sys from suds.client import Client from os import remove def main(zone, netticauser, netticapasswd, netticaurl): """ Main function """ netticapasswd = base64.b64encode(netticapasswd) nettica = Client(netticaurl) res = nettica.service.ListDomain(netticauser, netticapasswd, zone) if res[0]['Status'] != 200: print res[0]['Description'] sys.exit(1) try: with open('%s/%s.txt' % (zonestorage, zone), 'w+') as f: f.write('server %s\n' % server) f.write('zone %s\n' % zone) for rec in res[2][0]: if rec['HostName'] == None: if rec['Priority'] == 0: f.write('update add %s %s %s %s\n' % (rec['DomainName'], rec['TTL'], rec['RecordType'], rec['Data'])) else: f.write('update add %s %s %s %s %s\n' % (rec['DomainName'], rec['TTL'], rec['RecordType'], rec['Priority'], rec['Data'])) else: f.write('update add %s.%s %s %s %s\n' % (rec['HostName'], rec['DomainName'], rec['TTL'], rec['RecordType'], rec['Data'])) f.write('send\n') except IndexError: remove('%s/%s.txt' % (zonestorage, zone)) print 'No records found' sys.exit(1) return 0 if __name__ == '__main__': if len(sys.argv) < 2: print "Usage: %s <domain name>" % __file__ sys.exit(1) else: zone = sys.argv[1] main(zone, netticauser, netticapasswd, netticaurl)

33.109091

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0.557386

232

1,821

4.323276

0.392241

0.025922

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0.01994

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0.192423

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0

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0.272927

1,821

54

146

33.722222

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0.146341

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null

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0.097561

null

0.073171

0

null

0

null

0

1

0

1

0

2

3855ef063ae2b6891a87cede468280435c94e08e

143

py

Python

aiocloudflare/api/user/tokens/value/value.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

2

2021-09-14T13:20:55.000Z

2022-02-24T14:18:24.000Z

aiocloudflare/api/user/tokens/value/value.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

46

2021-09-08T08:39:45.000Z

2022-03-29T12:31:05.000Z

aiocloudflare/api/user/tokens/value/value.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

1

2021-12-30T23:02:23.000Z

from aiocloudflare.commons.auth import Auth class Value(Auth): _endpoint1 = "user/tokens" _endpoint2 = "value" _endpoint3 = None

17.875

43

0.706294

16

143

6.125

0.8125

0

0.026316

0.202797

143

7

44

20.428571

0.833333

0

0.111888

0

1

0

false

0

0.2

0

1

0

1

0

null

0

1

0

null

0

2

385d89663f3ccc25a51e5747a021938bff252675

515

py

Python

alphaorm/generators/GeneratorInterface.py

emetowinner/python-alpha-orm

045c77d93c7c75956f19d40565c0c806bd18b6c6

[ "MIT" ]

2

2019-12-06T05:18:31.000Z

2020-11-07T01:53:51.000Z

alphaorm/generators/GeneratorInterface.py

emetowinner/python-alpha-orm

045c77d93c7c75956f19d40565c0c806bd18b6c6

[ "MIT" ]

7

2020-04-12T23:18:16.000Z

2020-09-30T17:41:09.000Z

alphaorm/generators/GeneratorInterface.py

emetowinner/python-alpha-orm

045c77d93c7c75956f19d40565c0c806bd18b6c6

[ "MIT" ]

2

2019-12-06T05:18:31.000Z

2020-09-29T09:45:03.000Z

import interface class GeneratorInterface (interface.Interface): @staticmethod def checkColumnUpdates(columns_db, columns_record, alpha_record): pass @staticmethod def creatNewColumns(dict_map, alpha_record, tablename): pass @staticmethod def columns(columns_db, alpha_record, base=True): pass @staticmethod def getGenerator(driver): if driver == 'mysql': from .MySQLGenerator import MySQLGenerator return MySQLGenerator

22.391304

69

0.683495

48

515

7.1875

0.520833

0.173913

0.165217

0

0.252427

515

22

70

23.409091

0.896104

0

0.4375

0

0.009709

0

1

0.25

false

0.1875

0.125

0

0.5

0

null

0

null

0

1

0

1

0

2

3860d4968c40125e1d11a5565a5692c38d6f09f6

970

py

Python

databank/migrations/0002_auto_20200603_0613.py

IFRCGo/ifrcgo-api

c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a

[ "MIT" ]

11

2018-06-11T06:05:12.000Z

2022-03-25T09:31:44.000Z

databank/migrations/0002_auto_20200603_0613.py

IFRCGo/ifrcgo-api

c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a

[ "MIT" ]

498

2017-11-07T21:20:13.000Z

2022-03-31T14:37:18.000Z

databank/migrations/0002_auto_20200603_0613.py

IFRCGo/ifrcgo-api

c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a

[ "MIT" ]

6

2018-04-11T13:29:50.000Z

2020-07-16T16:52:11.000Z

# Generated by Django 2.2.10 on 2020-06-03 06:13 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('databank', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='countryoverview', options={'verbose_name': 'Country Overview', 'verbose_name_plural': 'Countries Overview'}, ), migrations.AlterModelOptions( name='keyclimateevent', options={'verbose_name': 'Key Client Event', 'verbose_name_plural': 'Key Client Events'}, ), migrations.AlterModelOptions( name='seasonalcalender', options={'verbose_name': 'Seasonal Calender Record', 'verbose_name_plural': 'Seasonal Calender Records'}, ), migrations.AlterModelOptions( name='socialevent', options={'verbose_name': 'Social Event', 'verbose_name_plural': 'Social Events'}, ), ]

32.333333

117

0.618557

86

970

6.825581

0.488372

0.149915

0.211244

0.074957

0

0.027894

0.260825

970

29

118

33.448276

0.790795

0.047423

0

0.347826

1

0

0.370933

0

1

0

false

0

0.043478

0

0.173913

0

null

0

1

0

1

0

null

0

2

386492f123c03dea502ee60e05364db5d25482bb

1,988

py

Python

classes/Puzzle.py

MadReza/AI-Puzzle-Solver

e922f4b299ba6ecf3f845ea50f404f98d2a4cfaa

[ "MIT" ]

null

classes/Puzzle.py

MadReza/AI-Puzzle-Solver

e922f4b299ba6ecf3f845ea50f404f98d2a4cfaa

[ "MIT" ]

null

classes/Puzzle.py

MadReza/AI-Puzzle-Solver

e922f4b299ba6ecf3f845ea50f404f98d2a4cfaa

[ "MIT" ]

null

""" Used as reference: http://codereview.stackexchange.com/a/76949 """ from math import sqrt class Puzzle: def __init__(self, board): self.board = board self.width = int(sqrt(len(board))) #TODO need to make this squared puzzles self.hole_position = board.index(0) self.solvedBoard = range(1,self.width**2) + [0] def __str__(self): return "\n".join(str(self.board[start : start + self.width]) for start in range(0, len(self.board), self.width)) """ Unique hash created by XOR of value and position on board """ def __hash__(self): h = 0 for pos, value in enumerate(self.board): h ^= pos << value return h def __eq__(self, other): return self.board == other.board """ Expected solution is the empty spot to be at bottom right Expecting: 3x3 1 2 3 4 5 6 7 8 0 """ def solved(self): return self.board == self.solvedBoard def possible_moves(self): moves = [] # Up, down for dest in (self.hole_position - self.width, self.hole_position + self.width): if 0 <= dest < len(self.board): moves.append(dest) # Left, right for dest in (self.hole_position - 1, self.hole_position + 1): if dest // self.width == self.hole_position // self.width: moves.append(dest) return moves """ Return new board with new position """ def move(self, destination): board = self.board[:] #deep copy if destination not in self.possible_moves(): raise AttributeError('destination is outside allowed moves', 'destination: ' + `destination`, 'Allowed: ' + `self.possible_moves()`) board[self.hole_position], board[destination] = board[destination], board[self.hole_position] return Puzzle(board)

27.232877

144

0.571429

245

1,988

4.526531

0.391837

0.073039

0.115419

0.054103

0.106402

0.061317

0

0.01845

0.31841

1,988

72

145

27.611111

0.8

0.034205

0

0.058824

0

0.03886

0

0.013889

0

null

0

0.029412

null

0

null

0

null

0

1

0

1

0

2

387a824d90634546076bcbcd2e5055a2bf9364a9

715

py

Python

setup.py

metazool/forambulator

a861636e90912273819b677706477fee68ae73bc

[ "BSD-3-Clause" ]

2

2020-02-14T21:58:43.000Z

2020-02-19T18:22:00.000Z

setup.py

metazool/forambulator

a861636e90912273819b677706477fee68ae73bc

[ "BSD-3-Clause" ]

null

setup.py

metazool/forambulator

a861636e90912273819b677706477fee68ae73bc

[ "BSD-3-Clause" ]

null

from setuptools import setup setup( name='forambulator', version='0.1.0', description='Generate synthetic forams', url='https://github.com/metazool/forambulator', author='Jo Walsh', license='BSD 3-clause', packages=['forambulator'], install_requires=['numpy', 'requests', 'scikit-image', 'stylegan2-pytorch' ], classifiers=[ 'Development Status :: 1 - Planning', 'Intended Audience :: Science/Research', 'License :: OSI Approved :: BSD License', 'Operating System :: POSIX :: Linux', 'Programming Language :: Python :: 3.5', ], )

27.5

53

0.532867

61

715

6.229508

0.852459

0

0.016771

0.332867

715

25

54

28.6

0.779874

0

0.090909

1

0

0.470588

0

1

0

true

0

0.045455

0

0.045455

0

null

0

1

0

null

0

1

0

2

3888b0a28d3d8e2c65a7dc1e735fc51cdc110566

2,367

py

Python

account.py

murungiKirima/password_locker

91313bfa9b0750a2e05fc98756185d92e3e3403a

[ "MIT" ]

null

account.py

murungiKirima/password_locker

91313bfa9b0750a2e05fc98756185d92e3e3403a

[ "MIT" ]

null

account.py

murungiKirima/password_locker

91313bfa9b0750a2e05fc98756185d92e3e3403a

[ "MIT" ]

null

class User: user_list = [] def __init__(self,f_name,l_name,password): """function that creates user object""" self.f_name = f_name self.l_name = l_name self.password = password def save_user(self): """function that saves users""" User.user_list.append(self) def delete_user(self): """function that deletes users""" User.user_list.remove(self) @classmethod def display_user(self): """function that displays users""" return User.user_list @classmethod def find_user_by_name(cls,name): """function that finds users by name""" for user in cls.user_list: if user.f_name == name: return user @classmethod def user_exist(cls,f_name): """function that checks if users exists""" for user in cls.user_list: if user.f_name == f_name: return True return False class Credentials: def __init__ (self,user_name, credential_name , credential__password): """function that creates credentials""" self.user_name = user_name self.credential_name =credential_name self.credential_password =credential__password list_of_credentials = [] def save_credentials(self): """function that saves credentials""" self.list_of_credentials.append(self) def delete_credentials(self): """function that deletes credentials""" Credentials.list_of_credentials.remove(self) @classmethod def find_by_name(cls, user_name): """Method that takes in a name and returns a credential that matches that particular name Args: name: account_name that has a password Returns: The account_name and it's corresponding PassWord """ for credential in cls.list_of_credentials: if credential.user_name == user_name: return credential @classmethod def credential_exists(cls,name): """function that checks if credentials exists""" for credential in cls.list_of_credentials: if credential.user_name == name: return True @classmethod def display_all_credentials(cls): """function that displays Credentials""" return cls.list_of_credentials

29.222222

97

0.632446

282

2,367

5.070922

0.195035

0.092308

0.071329

0.041958

0.153846

0.12028

0

0.287283

2,367

80

98

29.5875

0.847659

0.237854

0

0.255319

0

1

0.255319

false

0.085106

0

0.489362

0

null

0

null

0

1

0

1

0

2

389562825dc2a4e5f9b7a6f77aaad2f42bc1b875

600

py

Python

demo_schoolOrSociety/schoolOrSociety/urls.py

luckyLQL/SchoolOrSociety

011444864b6a36b79e8365d0962f84d40ae80fc4

[ "MIT" ]

null

demo_schoolOrSociety/schoolOrSociety/urls.py

luckyLQL/SchoolOrSociety

011444864b6a36b79e8365d0962f84d40ae80fc4

[ "MIT" ]

null

demo_schoolOrSociety/schoolOrSociety/urls.py

luckyLQL/SchoolOrSociety

011444864b6a36b79e8365d0962f84d40ae80fc4

[ "MIT" ]

null

from django.conf.urls import url from django.views.generic import TemplateView from . import views from schoolOrSociety.views import index, questionary, result, process urlpatterns = [ url(r'^questionary', views.questionary, {'template_name': 'schoolOrSociety/questionary.html'}, name='questionary'), url(r'^result', views.result, name='result'), url(r'^process', views.process, name='process'), url(r'^index', views.index, {'template_name': 'schoolOrSociety/index.html'}, name='index'), url(r'^.?', views.index, {'template_name': 'schoolOrSociety/index.html'}, name='index'), ]

46.153846

119

0.718333

73

600

5.863014

0.260274

0.046729

0.189252

0.102804

0.257009

0

0.108333

600

12

120

50

0.8

0

0.321667

0.14

0

1

0

false

0

0.363636

0

0.363636

0

null

0

1

0

null

0

1

0

2

389677181d341e843f1157b7178363de8c588ba2

775

py

Python

src/homework/tests/cross_check/tests_crosscheck_is_checked.py

denkasyanov/education-backend

c796b6f2f1cc1cd09f83cab2ca0cc45344906ef5

[ "MIT" ]

151

2020-04-21T09:58:57.000Z

2021-09-12T09:01:21.000Z

src/homework/tests/cross_check/tests_crosscheck_is_checked.py

denkasyanov/education-backend

c796b6f2f1cc1cd09f83cab2ca0cc45344906ef5

[ "MIT" ]

163

2020-05-29T20:52:00.000Z

2021-09-11T12:44:56.000Z

src/homework/tests/cross_check/tests_crosscheck_is_checked.py

boochamoocha/education-backend

c6ffb0c00bc066c8f1e0a8c0ffe4d0215c7c416a

[ "MIT" ]

39

2020-04-21T12:28:16.000Z

2021-09-12T15:33:47.000Z

import pytest pytestmark = [pytest.mark.django_db] @pytest.fixture def answer(answers): return answers[0] @pytest.fixture def crosscheck(mixer, answer, another_user): return mixer.blend('homework.AnswerCrossCheck', answer=answer, checker=another_user) def test_not_by_default(crosscheck): assert crosscheck.is_checked() is False def test_checked_if_there_are_comments_from_checker(crosscheck, mixer, another_user, answer): mixer.blend('homework.Answer', parent=answer, author=another_user) assert crosscheck.is_checked() is True def test_not_checked_if_answers_are_not_children_of_the_checked_answer(crosscheck, mixer, another_user, answer): mixer.blend('homework.Answer', author=another_user) assert crosscheck.is_checked() is False

25.833333

112

0.793548

105

775

5.561905

0.371429

0.113014

0.092466

0.128425

0.416096

0.35274

0

0.001458

0.114839

775

29

113

26.724138

0.849854

0

0.25

0

0.070968

0.032258

0

0.1875

1

0.3125

false

0

0.0625

0.125

0.5

0

null

0

null

0

1

0

1

0

2

38a2d491bbcee718741e3cb717dbbf6479dbe644

6,148

py

Python

dtor/opts.py

Tevien/dtor

bb2954074d4a299c129d44afd722084980b792b5

[ "MIT" ]

null

dtor/opts.py

Tevien/dtor

bb2954074d4a299c129d44afd722084980b792b5

[ "MIT" ]

1

2021-03-12T10:57:24.000Z

dtor/opts.py

Tevien/dtor

bb2954074d4a299c129d44afd722084980b792b5

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Process all the options""" __author__ = "Sean Benson" __copyright__ = "MIT" import json import argparse norms = { 'torchvision_3d': ([0.43216, 0.394666, 0.37645], [0.22803, 0.22145, 0.216989]), 'torchvision_2d': ([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) } def init_parser(): parser = argparse.ArgumentParser() parser.add_argument('--num-workers', help='Number of worker processes for background data loading', default=2, type=int, nargs='?', ) parser.add_argument('--batch-size', help='Batch size to use for training', default=32, type=int, nargs='?', ) parser.add_argument('--epochs', help='Number of epochs to train for', default=1, type=int, nargs='?', ) parser.add_argument('--seed', help='Reproduce results with a certain seed', default=42, type=int, nargs='?', ) parser.add_argument('--exp_name', default='test', nargs='?', help="Experiment name, will be used for model saving and logs", ) parser.add_argument('--datapoints', help="Location of the CSV with our points and labels", type=str, nargs='?', default="data/chunked.csv", ) parser.add_argument('--loss', help="What kind of loss function to use", type=str, nargs='?', default="crossentropy", ) parser.add_argument('--model', help="Which model do we want", type=str, nargs='?', default="nominal", ) parser.add_argument('--load_json', help="Specify args with a json", type=str, nargs='?', default="", ) parser.add_argument('--best_json', help="Specify args with best hyperparams", type=str, nargs='?', default="", ) parser.add_argument('--dset', help="Which dataset to use", type=str, nargs='?', default="ltp", ) parser.add_argument('--augments', help="How many rounds of augmentations", type=int, nargs='?', default="0", ) parser.add_argument('--resume', help="Checkpoint to resume from", type=str, nargs='?', default="", ) parser.add_argument('--pretrain_loc', help="Feature extraction pretrained location", type=str, nargs='?', default="", ) parser.add_argument('--pretrained_2d_name', help="Which 2d pretrained model to use", type=str, nargs='?', default="", ) parser.add_argument('--dim', help="Dimensions of input data", type=int, nargs='?', default=3, ) parser.add_argument('--sam', help="Do we want to turn on the SAM overfitting protection", type=bool, nargs='?', default=False, ) parser.add_argument('--dset_lim', help="How many data points to we want (MNIST OPTION ONLY)", type=int, nargs='?', default=150, ) parser.add_argument('--earlystopping', help="Early stopping to avoid overfitting, 0=off, n>0 is patience", type=int, nargs='?', default=3, ) parser.add_argument('--num_trials', help="How many trials for the tuning", type=int, nargs='?', default=10, ) parser.add_argument('--mode', help="train | tune", type=str, nargs='?', default="train", ) parser.add_argument('--fix_nlayers', help="How many layers of the input model do we fix", type=int, nargs='?', default=0, ) parser.add_argument('--rn_depth', help="How big a resnet do you want", type=int, nargs='?', default=101, ) parser.add_argument('--rn_nclasses', help="How many classes were in the original training", type=int, nargs='?', default=700, ) return parser

37.260606

91

0.357352

459

6,148

4.686275

0.359477

0.100418

0.189679

0.088331

0.252441

0.231055

0.152487

0.068805

0

0.032063

0.543429

6,148

164

92

37.487805

0.734236

0.007482

0

0.339744

0

0.199147

0

1

0.00641

false

0

0.012821

0

0.025641

0

null

0

1

0

1

0

null

0

2

38a445fb915ea7c6a07d9f8e89c1561ae4caae15

275

py

Python

data_collection/gazette/spiders/sp_sao_roque.py

kaiocp/querido-diario

86004049c6eee305e13066cf3607d30849bb099a

[ "MIT" ]

454

2018-04-07T03:32:57.000Z

2020-08-17T19:56:22.000Z

data_collection/gazette/spiders/sp_sao_roque.py

kaiocp/querido-diario

86004049c6eee305e13066cf3607d30849bb099a

[ "MIT" ]

254

2020-08-18T14:09:43.000Z

2022-03-28T11:30:51.000Z

data_collection/gazette/spiders/sp_sao_roque.py

kaiocp/querido-diario

86004049c6eee305e13066cf3607d30849bb099a

[ "MIT" ]

183

2018-04-11T15:09:37.000Z

2020-08-15T18:55:11.000Z

from gazette.spiders.base.instar import BaseInstarSpider class SpSaoRoqueSpider(BaseInstarSpider): TERRITORY_ID = "3550605" name = "sp_sao_roque" allowed_domains = ["saoroque.sp.gov.br"] start_urls = ["https://www.saoroque.sp.gov.br/portal/diario-oficial"]

30.555556

73

0.741818

34

275

5.852941

0.823529

0.100503

0.130653

0.150754

0

0.029289

0.130909

275

8

74

34.375

0.803347

0

0.323636

0

1

0

false

0

0.166667

0

1

0

null

0

1

0

null

0

1

0

2

38a7e2da98e7128cff9b5ed98e45e6601349f73f

1,445

py

Python

ext/ace_in_gf/tools/make_gf_parse_lin_command.py

TeamSPoon/logicmoo_nlu

5c3e5013a3048da7d68a8a43476ad84d3ea4bb47

[ "MIT" ]

6

2020-01-27T12:08:02.000Z

2020-02-28T19:30:28.000Z

pack/logicmoo_nlu/prolog/ace_in_gf/tools/make_gf_parse_lin_command.py

logicmoo/old_logicmoo_workspace

44025b6e389e2f2f7d86b46c1301cab0604bba26

[ "MIT" ]

1

2020-02-02T13:12:34.000Z

ext/ace_in_gf/tools/make_gf_parse_lin_command.py

TeamSPoon/logicmoo_nlu

5c3e5013a3048da7d68a8a43476ad84d3ea4bb47

[ "MIT" ]

null

#! /usr/bin/env python # Author: Kaarel Kaljurand # Version: 2013-02-21 # # Example: # $ echo "hallo" | python make_gf_parse_lin_command.py --lang=Ger --cat=Phrase # p -lang=Ger -cat=Phrase "hallo" | l -treebank import sys import argparse def process_lines(lang_in, lang_out, cat): for line in sys.stdin: line = line.strip() process_line(lang_in, lang_out, cat, line) def process_line(lang_in, lang_out, cat, line): serialize_command(lang_in, lang_out, cat, line) # TODO: add escaping def serialize_command(lang_in, lang_out, cat, line): print 'p -lang={:} -cat={:} "{:}" | l -lang={:} -treebank'.format(lang_in, cat, line, lang_out) parser = argparse.ArgumentParser(description='Makes a GF parse + linearize command') parser.add_argument('-l', '--lang-in', type=str, action='store', dest='lang_in', default='Ace', help='3-letter language code, e.g. Ger (defaults to Ace)') parser.add_argument('--lang-out', type=str, action='store', dest='lang_out', help='3-letter language code, e.g. Ger (defaults to Ace)') parser.add_argument('-c', '--cat', type=str, action='store', dest='cat', default='ACEText', help='start category (defaults to ACEText)') parser.add_argument('-v', '--version', action='version', version='%(prog)s v0.1') args = parser.parse_args() if args.lang_out is None: args.lang_out = "" else: args.lang_out = args.lang_out.replace(' ', ',') process_lines(args.lang_in, args.lang_out, args.cat)

26.759259

96

0.694118

225

1,445

4.302222

0.368889

0.094008

0.051653

0.067149

0.35124

0.311983

0.258264

0.119835

0

0.009531

0.12872

1,445

53

97

27.264151

0.759333

0.152941

0

0.068966

0

0.268092

0

0.018868

0

null

0

0.068966

null

0.034483

0

null

0

null

0

1

0

1

0

2

38b1127b810f3f73f3e27b725954a3fabe02d8f7

202

py

Python

python/testData/console/indent14.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/console/indent14.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/console/indent14.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

print 'One, two. How are you?\ Three, four. Who\'s at the door?\ Five, six. My name is Fix.\ Seven, eght. Sorry, I\'m late.\ Nine, ten. Say it again.'

40.4

45

0.480198

30

202

3.233333

1

0

0.391089

202

5

46

40.4

0.788618

0

null

0

null

0.2

0

null

0

1

0

null

0

1

0

2

38bbf9af68e9962a9a37eb0f715c948609ecd5da

2,661

py

Python

api/config.py

mindsolve/pySymProxy

81d3a1760dd4b4d7ba4bcb2c41a619daf6b011cc

[ "MIT" ]

27

2017-12-07T12:22:32.000Z

2022-01-24T06:52:37.000Z

api/config.py

alastorid/pySymProxy

a696ac15a0a468f6ff3ad6fe4591b435656752c5

[ "MIT" ]

3

2019-07-31T08:05:48.000Z

2021-04-20T13:33:42.000Z

api/config.py

alastorid/pySymProxy

a696ac15a0a468f6ff3ad6fe4591b435656752c5

[ "MIT" ]

8

2019-03-06T12:38:23.000Z

2021-07-28T10:55:37.000Z

import logging import logging.config import logging.handlers import json import os def findConfigFile(candidates): for location in candidates: if os.path.isfile(location): return location return candidates[-1] def findConfigValue(rootDict, name, required = False, default = None): curElement = rootDict elements = name.split(".") for element in elements: curElement = curElement.get(element) if (curElement == None): break if (curElement == None): if (required): raise Exception("Configuration value missing: " + name) curElement = default return curElement class Config: def __init__(self, configFile): # Load configuration information self._configFile = configFile with open(configFile) as data_file: self._configData = json.load(data_file) logging.config.dictConfig(self.loggingConfig()) def configFile(self): return self._configFile def name(self): return self.findConfigValue("identity.name") def host(self): return self.findConfigValue("identity.host") def administrator(self): return self.findConfigValue("identity.administrator") def sympath(self): return self.findConfigValue("identity.default_sympath") def servers(self): return self.findConfigValue("servers") def cacheLocation(self): return self.findConfigValue("general.cacheLocation") def blacklist(self): return self.findConfigValue("general.blacklist") def loggingConfig(self): return self.findConfigValue("logging", required=False, default={}) def extractLogFiles(self, logger, logfiles): for handler in logger.handlers: if isinstance(handler, logging.FileHandler): logfiles.append(handler.baseFilename) if isinstance(handler, logging.handlers.RotatingFileHandler): for x in range(0, handler.backupCount): logfiles.append(handler.baseFilename + "." + str(x)) def logfiles(self): logfiles = [] for loggerName in logging.Logger.manager.loggerDict: logger = logging.getLogger(loggerName) self.extractLogFiles(logger, logfiles) self.extractLogFiles(logger.root, logfiles) logfiles = list(set(logfiles)) logfiles = [f for f in logfiles if os.path.exists(f)] logfiles.sort() return logfiles def findConfigValue(self, name, required=True, default=None): return findConfigValue(self._configData, name, required, default)

30.238636

77

0.654265

266

2,661

6.503759

0.308271

0.052023

0.072832

0.134104

0.127168

0

0.001006

0.252537

2,661

87

78

30.586207

0.868778

0.011274

0

0.030769

0

0.059003

0.025504

0

1

0.230769

false

0

0.076923

0.153846

0.538462

0

null

0

null

0

1

0

1

0

2

38cc696f5a58cce5eb3d2d36636d510496d1e270

660

py

Python

test/pressure/test_hydrostatic.py

antineutrino2/pyGeoPressure

d28d6d0672e1abdb57ef97d7285ec68fcdfe8c73

[ "MIT" ]

53

2017-11-22T09:00:43.000Z

2022-03-20T03:30:58.000Z

test/pressure/test_hydrostatic.py

linwang741/pyGeoPressure

862d446c04e09dc347ac0a6e710c714cd3573266

[ "MIT" ]

16

2017-12-02T06:11:03.000Z

2022-02-09T03:02:05.000Z

test/pressure/test_hydrostatic.py

linwang741/pyGeoPressure

862d446c04e09dc347ac0a6e710c714cd3573266

[ "MIT" ]

35

2017-11-01T11:38:33.000Z

2022-03-21T02:39:57.000Z

# -*- coding: utf-8 -*- """ Created on Nov. 9th 2017 """ from __future__ import (absolute_import, division, print_function, unicode_literals) import numpy as np import pygeopressure as ppp def test_hydrostatic(depth): assert (ppp.hydrostatic_pressure(depth) == \ np.array([0., 0.00980665, 0.0196133, 0.02941995, 0.0392266, 0.04903325, 0.0588399, 0.06864655, 0.0784532, 0.08825985])).all() assert (np.round(ppp.hydrostatic_trace(depth), 6) == \ np.array([0., 0.009898, 0.019796, 0.029694, 0.039592, 0.04949, 0.059388, 0.069286, 0.079184, 0.089082])).all()

33

70

0.604545

87

660

4.471264

0.597701

0.071979

0.041131

0.046272

0

0.297787

0.24697

660

19

71

34.736842

0.484909

0.071212

0

0.166667

1

0.083333

false

0

0.25

0

0.333333

0.083333

0

null

0

1

0

1

0

null

0

2

38d32f21f9f3751d1ec17ed5372568755353a89a

477

py

Python

elpa-26.1/elpy-20190406.1455/elpy/tests/test_auto_pep8.py

heyangcn/emacs.d

d0acdd09127b937f3f4a16b89ea6f4bb11e104a7

[ "BSD-2-Clause" ]

11

2018-01-12T02:13:04.000Z

2021-05-14T20:47:47.000Z

elpa/elpy-20180916.839/elpy/tests/test_auto_pep8.py

jueqingsizhe66/ranEmacs.d

d1d2684857feeaf505a3cddcf044f7a60d10d1a4

[ "Unlicense" ]

1

2020-03-24T12:50:29.000Z

2020-03-24T12:51:11.000Z

elpa/elpy-20180916.839/elpy/tests/test_auto_pep8.py

jueqingsizhe66/ranEmacs.d

d1d2684857feeaf505a3cddcf044f7a60d10d1a4

[ "Unlicense" ]

1

2020-11-04T05:05:12.000Z

# coding: utf-8 """Tests for the elpy.autopep8 module""" import unittest import os from elpy import auto_pep8 from elpy.tests.support import BackendTestCase class Autopep8TestCase(BackendTestCase): def setUp(self): if not auto_pep8.autopep8: raise unittest.SkipTest def test_fix_code(self): code_block = 'x= 123\n' new_block = auto_pep8.fix_code(code_block, os.getcwd()) self.assertEqual(new_block, 'x = 123\n')

21.681818

63

0.679245

65

477

4.830769

0.553846

0.076433

0.057325

0.063694

0

0.03523

0.226415

477

21

64

22.714286

0.815718

0.102725

0

0.054502

0

0.083333

1

0.166667

false

0

0.333333

0

0.583333

0

null

0

null

0

1

0

1

0

2

38d4d1ab42d4a74f1d64f9c5639e4bffa8dd1f8e

354

py

Python

{{ cookiecutter.project_slug }}/{{ cookiecutter.service_name }}/main.py

churnikov/cookiecutter-python

2be81a751896bce7874f63b546111d1faea02d59

[ "MIT" ]

2

2021-09-12T13:39:26.000Z

2021-09-13T07:53:19.000Z

{{ cookiecutter.project_slug }}/{{ cookiecutter.service_name }}/main.py

churnikov/cookiecutter-python

2be81a751896bce7874f63b546111d1faea02d59

[ "MIT" ]

null

{{ cookiecutter.project_slug }}/{{ cookiecutter.service_name }}/main.py

churnikov/cookiecutter-python

2be81a751896bce7874f63b546111d1faea02d59

[ "MIT" ]

null

import sys from loguru import logger from .log import DevelopFormatter, JsonSink from .settings import settings logger.remove() if settings.env == "development": develop_fmt = DevelopFormatter(settings.component_name) logger.add(sys.stdout, format=develop_fmt) else: json_sink = JsonSink(settings.component_name) logger.add(json_sink)

23.6

59

0.776836

45

354

5.977778

0.511111

0.074349

0.156134

0.200743

0.223048

0

0.138418

354

14

60

25.285714

0.881967

0

0.031073

0

1

0

false

0

0.363636

0

0.363636

0

null

0

1

0

null

0

1

0

2

38d649426d56dab0c1fcc6edf2343c6dca3ed069

4,644

py

Python

dirbot/spiders/dmoz.py

lihongqiang/crawl-image-baidu

ab6008e7f40eac0e91eb7ed035c1773f1850925b

[ "Apache-2.0" ]

1

2017-03-24T09:46:26.000Z

dirbot/spiders/dmoz.py

lihongqiang/crawl-image-baidu

ab6008e7f40eac0e91eb7ed035c1773f1850925b

[ "Apache-2.0" ]

1

2017-03-24T08:51:17.000Z

dirbot/spiders/dmoz.py

lihongqiang/crawl-image-baidu

ab6008e7f40eac0e91eb7ed035c1773f1850925b

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- from scrapy.spiders import Spider import json from dirbot.items import MyImage from scrapy.crawler import Crawler import sys import urllib # reload(sys) # sys.setdefaultencoding('utf-8') wordList = [ u"动物", u"狗", u"猫", u"熊", u"兔子", u"狮子", u"老虎", u"牛", u"马", u"长颈鹿", u"猴子", u"大象", u"鹿", u"大熊猫", u"小熊猫", u"刺猬", u"豹子", u"犀牛", u"考拉", u"大猩猩", u"驴", u"鼠", u"狐", u"狼", u"山羊", u"鹰", u"鸡", u"鸭子", u"天鹅", u"鹅", u"麻雀", u"燕子", u"鸵鸟", u"啄木鸟", u"鹦鹉", u"珊瑚", u"海星", u"水母", u"龟", u"鸭嘴兽", u"鲶鱼", u"鲨鱼", u"章鱼", u"鲟鱼", u"鲤鱼", u"海豚", u"蝴蝶", u"蜻蜓", u"蜗牛", u"蜜蜂", u"蚂蚁", u"水果", u"苹果", u"桃", u"葡萄", u"香蕉", u"菠萝", u"西瓜", u"柠檬", u"芒果", u"草莓", u"樱桃", u"枣", u"杏", u"橙", u"李子", u"石榴", u"弥猴桃", u"荔枝", u"桔子", u"柚子", u"青柠檬", u"山药", u"榴莲", u"山竹", u"毛丹", u"槟榔", u"龙眼", u"枇杷,欧查果", u"无花果", u"柿子", u"胡桃", u"榛子", u"油桃", u"桑椹", u"栗", u"醋粟", u"可可", u"越桔", u"黑莓", u"梨", u"杨桃", u"椰子", u"金桔", u"菠萝蜜", u"火龙果", u"番茄", u"哈密瓜", u"木瓜", u"杨梅", u"香瓜", u"山楂", u"车辆", u"自行车", u"摩托车", u"皮卡车", u"火车", u"坦克", u"拖拉机", u"小汽车", u"敞篷车", u"长途客车", u"双层巴士", u"普通货车", u"半挂牵引车", u"厢式货车", u"罐式货车", u"三轮摩托车", u"救护车", u"警车", u"消防车", u"洒水车", u"环卫车", u"拖拉机", u"越野汽车", u"火车", u"火箭", u"坦克", u"客机", u"飞行汽车", u"战斗机", u"滑翔机", u"侦察机", u"预警机", u"武装直升机", u"民用直升机", u"轰炸机", u"小船", u"客轮", u"货轮", u"快艇", u"帆船", u"航空母舰", u"潜艇", u"气垫船", u"平衡车", u"电动自行车", u"吊车", u"叉车", u"房车", u"吉普车", u"卡丁车", u"赛车", u"电子装置", u"笔记本电脑", u"电脑显示器", u"键盘", u"电话", u"照相机", u"时钟", u"电视", u"手机", u"遥控器", u"充电器", u"数据线", u"电话机", u"对讲机", u"闪存卡", u"镜头", u"手机电池", u"笔记本电池", u"手机充电器", u"笔记本电源适配器", u"硬盘", u"摄像头", u"音响", u"有线耳机", u"蓝牙耳机", u"打印机", u"投影机", u"路由器", u"CPU", u"GPU", u"交换机", u"冰箱", u"洗衣机", u"空调", u"微波炉", u"电磁炉", u"浴霸", u"台灯", u"电话卡", u"U盘", u"MP3", u"MP4", u"平板", u"台式主机", u"台式机电源", u"主板", u"内存", u"LED屏", u"游戏手柄", u"点钞机", u"吸尘器", u"烟雾报警器"] # wordList = [ u"动物"] totalPage = 10 # label_num = 0 def getURL(pagenum, word): return 'https://image.baidu.com/search/avatarjson?tn=baiduimage&ipn=r&ct=201326592&cl=2&lm=-1&st=-1&fm=result&fr=&sf=1&fmq=1488547724906_R&pv=&ic=0&nc=1&z=&se=1&showtab=0&fb=0&width=&height=&face=0&istype=2&ie=utf-8&ctd=1488547724907%5E00_1002X1024&rn=200&pn=' + str(pagenum) + '&word=' + word def getWordList(file_path): wordList = [] with open(file_path, "r") as f: for line in f: words = line.split("\n") print words[0] wordList.append(words[0]) return wordList class DmozSpider(Spider): name = "dmoz" allowed_domains = ["dmoz.org"] start_urls = [] # BASE_PATH = 'D:/lhq/openimages/baidusearch' word = 'cat' # word = settings['IMAGES_LABEL'] # myset = Settings() wordList = getWordList("./labels") for word in wordList: # print myset.get('IMAGES_STORE') # print Settings['IMAGES_STORE'] # Settings['IMAGES_STORE'] = BASE_PATH + "/" + str(i) # settings.set('IMAGES_STORE', BASE_PATH + "/" + word) for pagenum in range(int(totalPage)): start_urls.append(getURL(pagenum*60, word)) # label_num += 1 # def parse(self, response): # """ # The lines below is a spider contract. For more info see: # http://doc.scrapy.org/en/latest/topics/contracts.html # # @url http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/ # @scrapes name # """ # # # item = Website() # # title = response.xpath('/html/head/title/text()').extract() # # redictTitle = response.xpath('//td[contains(@class, "line-content")]/text()').extract() # # item['title'] = title # # item['redictTitle'] = redictTitle # # for t in title: # # t = t.strip('\n\t') # # if t != "": # # item['title'] = t # # break # # print item['title'] # # print item['redictTitle'] # # yield item # print 'output' # print response.body # def from_crawler(cls, crawler, *args, **kwargs): # settings = crawler.settings # if settings['IMAGES_LABEL']: # print "log is enabled!" # word = settings['IMAGES_LABEL'] # print word def getName(self, word): ret_word = word ret_word = urllib.unquote(word).decode('utf-8') return ret_word def parse(self, response): sites = json.loads(response.body_as_unicode()) label = str(response.url).strip().split("word=")[-1] for site in sites['imgs']: image = MyImage() image['image_urls'] = [site['objURL']] image['image_label'] = self.getName(label) yield image

47.387755

1,554

0.53919

787

4,644

3.147395

0.480305

0.02826

0.023012

0.018571

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0.223084

4,644

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null

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null

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null

0

1

0

2

c7fb1ae22d8a5f6af7cffe2226aa7f825eaecc89

298

py

Python

polls/models.py

sergeymuravko/django_2

88697745a2e94e4ee498dbef1e5c8a5e8fb2c585

[ "MIT" ]

null

polls/models.py

sergeymuravko/django_2

88697745a2e94e4ee498dbef1e5c8a5e8fb2c585

[ "MIT" ]

null

polls/models.py

sergeymuravko/django_2

88697745a2e94e4ee498dbef1e5c8a5e8fb2c585

[ "MIT" ]

null

from django.db import models # Create your models here. class Poll(models.Model): name = models.CharField(max_length=60, null=True, blank=True) def __str__(self): return '{}'.format(self.name) class Meta: verbose_name = "Poll" verbose_name_plural = "Polls"

19.866667

65

0.654362

39

298

4.794872

0.717949

0.117647

0

0.008734

0.231544

298

14

66

21.285714

0.80786

0.080537

0

0.040441

0

1

0.125

false

0

0.125

0.75

0

null

0

null

0

1

0

2

2a09f1854ee23e5cd5c17cfee8005f7ee1c66924

367

py

Python

pytorch-SAC/utils.py

Fable67/Soft-Actor-Critic-Pytorch

034c5cc37904f568773cdf3c25caf1a5d28a6cee

[ "MIT" ]

4

2019-05-08T23:18:26.000Z

2019-09-05T19:59:47.000Z

pytorch-SAC/utils.py

Fable67/Soft-Actor-Critic-Pytorch

034c5cc37904f568773cdf3c25caf1a5d28a6cee

[ "MIT" ]

null

pytorch-SAC/utils.py

Fable67/Soft-Actor-Critic-Pytorch

034c5cc37904f568773cdf3c25caf1a5d28a6cee

[ "MIT" ]

1

2022-01-19T06:47:56.000Z

import torch def hard_copy(targ_net, net): for p_target, p in zip(targ_net.parameters(), net.parameters()): p_target.data.copy_(p.data) return targ_net def soft_copy(targ_net, net, tau): for target_p, p in zip(targ_net.parameters(), net.parameters()): target_p.data.copy_(target_p.data * (1. - tau) + p.data * tau) return targ_net

26.214286

70

0.673025

61

367

3.803279

0.295082

0.181034

0.094828

0.12069

0.310345

0

0.003378

0.19346

367

13

71

28.230769

0.780405

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0.222222

0

1

0.222222

false

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0.111111

0

0.555556

0

null

0

null

0

1

0

1

0

2

2a0fd1acdf8877425b19956345a7dc818f10f00d

595

py

Python

tests/beta_tests/test_no_duplicates_here.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

tests/beta_tests/test_no_duplicates_here.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

tests/beta_tests/test_no_duplicates_here.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

import unittest from katas.beta.no_duplicates_here import list_de_dup class ListDeDuplicateTestCase(unittest.TestCase): def test_equals(self): self.assertEqual(list_de_dup(['g', 3, 'a', 'a']), [3, 'a', 'g']) def test_equals_2(self): self.assertEqual(list_de_dup([1, 2, 3, 4, 1, 2, 3, 4]), [1, 2, 3, 4]) def test_equals_3(self): self.assertEqual(list_de_dup([ 'code', 'wars', 'ain\'t', None, None, 'code', 'wars', 'ain\'t', 'the', 'same', 'as', 'the', 'rest']), ['ain\'t', 'as', 'code', 'rest', 'same', 'the', 'wars'])

33.055556

77

0.561345

87

595

3.666667

0.390805

0.075235

0.112853

0.216301

0.30094

0.037618

0

0.034483

0.220168

595

17

78

35

0.653017

0

0.114286

0

0.25

1

0.25

false

0

0.166667

0

0.5

0

null

0

1

0

null

0

1

0

2