Datasets:
xszheng2020
/
the_stack_dedup_python_hits_5

Dataset card Data Studio Files
xet
Community
hexsha
string
size
int64
ext
string
lang
string
max_stars_repo_path
string
max_stars_repo_name
string
max_stars_repo_head_hexsha
string
max_stars_repo_licenses
list
max_stars_count
int64
max_stars_repo_stars_event_min_datetime
string
max_stars_repo_stars_event_max_datetime
string
max_issues_repo_path
string
max_issues_repo_name
string
max_issues_repo_head_hexsha
string
max_issues_repo_licenses
list
max_issues_count
int64
max_issues_repo_issues_event_min_datetime
string
max_issues_repo_issues_event_max_datetime
string
max_forks_repo_path
string
max_forks_repo_name
string
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string
max_forks_repo_licenses
list
max_forks_count
int64
max_forks_repo_forks_event_min_datetime
string
max_forks_repo_forks_event_max_datetime
string
content
string
avg_line_length
float64
max_line_length
int64
alphanum_fraction
float64
qsc_code_num_words_quality_signal
int64
qsc_code_num_chars_quality_signal
float64
qsc_code_mean_word_length_quality_signal
float64
qsc_code_frac_words_unique_quality_signal
float64
qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
float64
qsc_code_frac_chars_top_4grams_quality_signal
float64
qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
float64
qsc_code_frac_chars_dupe_7grams_quality_signal
float64
qsc_code_frac_chars_dupe_8grams_quality_signal
float64
qsc_code_frac_chars_dupe_9grams_quality_signal
float64
qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
float64
qsc_code_frac_chars_digital_quality_signal
float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
float64
qsc_code_num_chars_line_mean_quality_signal
float64
qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
float64
qsc_code_cate_xml_start_quality_signal
float64
qsc_code_frac_lines_dupe_lines_quality_signal
float64
qsc_code_cate_autogen_quality_signal
float64
qsc_code_frac_lines_long_string_quality_signal
float64
qsc_code_frac_chars_string_length_quality_signal
float64
qsc_code_frac_chars_long_word_length_quality_signal
float64
qsc_code_frac_lines_string_concat_quality_signal
float64
qsc_code_cate_encoded_data_quality_signal
float64
qsc_code_frac_chars_hex_words_quality_signal
float64
qsc_code_frac_lines_prompt_comments_quality_signal
float64
qsc_code_frac_lines_assert_quality_signal
float64
qsc_codepython_cate_ast_quality_signal
float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
qsc_codepython_frac_lines_import_quality_signal
float64
qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
qsc_code_num_chars
int64
qsc_code_mean_word_length
int64
qsc_code_frac_words_unique
null
qsc_code_frac_chars_top_2grams
int64
qsc_code_frac_chars_top_3grams
int64
qsc_code_frac_chars_top_4grams
int64
qsc_code_frac_chars_dupe_5grams
int64
qsc_code_frac_chars_dupe_6grams
int64
qsc_code_frac_chars_dupe_7grams
int64
qsc_code_frac_chars_dupe_8grams
int64
qsc_code_frac_chars_dupe_9grams
int64
qsc_code_frac_chars_dupe_10grams
int64
qsc_code_frac_chars_replacement_symbols
int64
qsc_code_frac_chars_digital
int64
qsc_code_frac_chars_whitespace
int64
qsc_code_size_file_byte
int64
qsc_code_num_lines
int64
qsc_code_num_chars_line_max
int64
qsc_code_num_chars_line_mean
int64
qsc_code_frac_chars_alphabet
int64
qsc_code_frac_chars_comments
int64
qsc_code_cate_xml_start
int64
qsc_code_frac_lines_dupe_lines
int64
qsc_code_cate_autogen
int64
qsc_code_frac_lines_long_string
int64
qsc_code_frac_chars_string_length
int64
qsc_code_frac_chars_long_word_length
int64
qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
int64
qsc_code_frac_chars_hex_words
int64
qsc_code_frac_lines_prompt_comments
int64
qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
int64
qsc_codepython_cate_var_zero
int64
qsc_codepython_frac_lines_pass
int64
qsc_codepython_frac_lines_import
int64
qsc_codepython_frac_lines_simplefunc
int64
qsc_codepython_score_lines_no_logic
int64
qsc_codepython_frac_lines_print
int64
effective
string
hits
int64
a6b83af12a98b26ada38d04aab8640193893af9d
106
py
Python
detectors/detector_template/ensemble.py
zhampel/FakeFinder
2891a8649acc1dabdef07554d6acb346dd23dbae
[ "Apache-2.0" ]
26
2021-05-19T17:24:58.000Z
2022-03-29T16:46:23.000Z
detectors/detector_template/ensemble.py
zhampel/FakeFinder
2891a8649acc1dabdef07554d6acb346dd23dbae
[ "Apache-2.0" ]
37
2021-03-11T18:44:08.000Z
2022-03-30T02:47:53.000Z
detectors/detector_template/ensemble.py
zhampel/FakeFinder
2891a8649acc1dabdef07554d6acb346dd23dbae
[ "Apache-2.0" ]
12
2021-03-01T17:45:17.000Z
2022-01-06T23:32:39.000Z
class Ensemble: def __init__(self): pass def inference(self, video_path): pass
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py
Python
rura/__init__.py
fdabek1/rura
6779733149d7e4181be54ecb72fbd4de6d71c678
[ "MIT" ]
null
null
null
rura/__init__.py
fdabek1/rura
6779733149d7e4181be54ecb72fbd4de6d71c678
[ "MIT" ]
null
null
null
rura/__init__.py
fdabek1/rura
6779733149d7e4181be54ecb72fbd4de6d71c678
[ "MIT" ]
null
null
null
from . import logic from . import pipeline from . import tracker from . import utils __version__ = '0.2.3'
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py
Python
acadex/config.py
LCBRU/acadex
eb33a39756c1e4573f59955aad4e8c00f05b1520
[ "MIT" ]
null
null
null
acadex/config.py
LCBRU/acadex
eb33a39756c1e4573f59955aad4e8c00f05b1520
[ "MIT" ]
null
null
null
acadex/config.py
LCBRU/acadex
eb33a39756c1e4573f59955aad4e8c00f05b1520
[ "MIT" ]
null
null
null
from lbrc_flask.config import BaseConfig, BaseTestConfig class Config(BaseConfig): pass class TestConfig(BaseTestConfig): pass
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a6fe02797b73478fbbbabe84541f1784838326e5
343
py
Python
speech2speech/postprocessing/filter.py
bithikajain/speech2speech
3357a25da837d8d34b3f97c7a9dddae7d27862e0
[ "MIT" ]
1
2020-10-24T13:07:37.000Z
2020-10-24T13:07:37.000Z
speech2speech/postprocessing/filter.py
bithikajain/speech2speech
3357a25da837d8d34b3f97c7a9dddae7d27862e0
[ "MIT" ]
1
2020-10-24T17:12:24.000Z
2020-10-24T17:12:24.000Z
speech2speech/postprocessing/filter.py
bithikajain/speech2speech
3357a25da837d8d34b3f97c7a9dddae7d27862e0
[ "MIT" ]
1
2021-02-15T04:50:32.000Z
2021-02-15T04:50:32.000Z
def bandpass_pycbc(signal, sr, low_freq_cutoff, high_freq_cutoff, lowpass_order = 8): from pycbc.types import TimeSeries ts = TimeSeries(signal, delta_t=1./sr) import pycbc.filter ts = pycbc.filter.highpass(ts, low_freq_cutoff) import numpy return numpy.array(pycbc.filter.lowpass_fir(ts, high_freq_cutoff, lowpass_order))
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101
py
Python
streamparse/storm/__init__.py
mdemaster/mdemaster_w205_exercise2
0030d78d674840f848250bff970824a1d49587fb
[ "Apache-2.0" ]
null
null
null
streamparse/storm/__init__.py
mdemaster/mdemaster_w205_exercise2
0030d78d674840f848250bff970824a1d49587fb
[ "Apache-2.0" ]
1
2020-06-25T07:11:18.000Z
2020-06-25T07:11:18.000Z
streamparse/storm/__init__.py
mdemaster/mdemaster_w205_exercise2
0030d78d674840f848250bff970824a1d49587fb
[ "Apache-2.0" ]
null
null
null
from .component import Component, Tuple from .bolt import BatchingBolt, Bolt from .spout import Spout
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5
4732247530f2e62bc8c6600c9cfe0ed001d51054
381
py
Python
unit 1/exc. 1.4.1.py
AviKalPython/self.py
44f8de33797a9ea28bbd1e01006920ba7c818b97
[ "MIT" ]
null
null
null
unit 1/exc. 1.4.1.py
AviKalPython/self.py
44f8de33797a9ea28bbd1e01006920ba7c818b97
[ "MIT" ]
null
null
null
unit 1/exc. 1.4.1.py
AviKalPython/self.py
44f8de33797a9ea28bbd1e01006920ba7c818b97
[ "MIT" ]
null
null
null
# exc - 1.4.1 (rolling mission) import random print(""" _ _ | | | | | |__| | __ _ _ __ __ _ _ __ ___ __ _ _ __ | __ |/ _` | '_ \ / _` | '_ ` _ \ / _` | '_ \ | | | | (_| | | | | (_| | | | | | | (_| | | | | |_| |_|\__,_|_| |_|\__, |_| |_| |_|\__,_|_| |_| __/ | |___/ """ , random.randint(5,10))
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5
5b3ac3f2a19c6a3549645e47cc9313e563abc50e
8,850
py
Python
tests/test_ircmessage.py
impredicative/ircstyle
e44e85c1329b720c5a07534ec3762751555ecb70
[ "MIT" ]
null
null
null
tests/test_ircmessage.py
impredicative/ircstyle
e44e85c1329b720c5a07534ec3762751555ecb70
[ "MIT" ]
null
null
null
tests/test_ircmessage.py
impredicative/ircstyle
e44e85c1329b720c5a07534ec3762751555ecb70
[ "MIT" ]
null
null
null
import unittest import ircstyle class AttributeTests(unittest.TestCase): """ Basic attribute code tests """ def test_bold_with_reset(self): message = ircstyle.style("Hello, world!", bold=True) self.assertEqual(message, "\x02Hello, world!\x0F") def test_bold_without_reset(self): message = ircstyle.style("Hello, world!", bold=True, reset=False) self.assertEqual(message, "\x02Hello, world!") def test_italics_with_reset(self): message = ircstyle.style("Hello, world!", italics=True) self.assertEqual(message, "\x1DHello, world!\x0F") def test_italics_without_reset(self): message = ircstyle.style("Hello, world!", italics=True, reset=False) self.assertEqual(message, "\x1DHello, world!") def test_underline_with_reset(self): message = ircstyle.style("Hello, world!", underline=True) self.assertEqual(message, "\x1FHello, world!\x0F") def test_underline_without_reset(self): message = ircstyle.style("Hello, world!", underline=True, reset=False) self.assertEqual(message, "\x1FHello, world!") def test_complex_attributes_with_reset(self): message = ircstyle.style("Hello, world!", bold=True, italics=True, underline=True) self.assertEqual(message, "\x02\x1d\x1fHello, world!\x0F") def test_complex_attributes_without_reset(self): message = ircstyle.style("Hello, world!", bold=True, italics=True, underline=True, reset=False) self.assertEqual(message, "\x02\x1d\x1fHello, world!") class ColorTests(unittest.TestCase): """ Color code tests """ def test_fg_white(self): message = ircstyle.style("Hello, world!", fg="white") self.assertEqual(message, "\x0300Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.white) self.assertEqual(message, "\x0300Hello, world!\x0F") def test_fg_black(self): message = ircstyle.style("Hello, world!", fg="black") self.assertEqual(message, "\x0301Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.black) self.assertEqual(message, "\x0301Hello, world!\x0F") def test_fg_blue(self): message = ircstyle.style("Hello, world!", fg="blue") self.assertEqual(message, "\x0302Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.blue) self.assertEqual(message, "\x0302Hello, world!\x0F") def test_fg_green(self): message = ircstyle.style("Hello, world!", fg="green") self.assertEqual(message, "\x0303Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.green) self.assertEqual(message, "\x0303Hello, world!\x0F") def test_fg_red(self): message = ircstyle.style("Hello, world!", fg="red") self.assertEqual(message, "\x0304Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.red) self.assertEqual(message, "\x0304Hello, world!\x0F") def test_fg_brown(self): message = ircstyle.style("Hello, world!", fg="brown") self.assertEqual(message, "\x0305Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.brown) self.assertEqual(message, "\x0305Hello, world!\x0F") def test_fg_purple(self): message = ircstyle.style("Hello, world!", fg="purple") self.assertEqual(message, "\x0306Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.purple) self.assertEqual(message, "\x0306Hello, world!\x0F") def test_fg_orange(self): message = ircstyle.style("Hello, world!", fg="orange") self.assertEqual(message, "\x0307Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.orange) self.assertEqual(message, "\x0307Hello, world!\x0F") def test_fg_yellow(self): message = ircstyle.style("Hello, world!", fg="yellow") self.assertEqual(message, "\x0308Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.yellow) self.assertEqual(message, "\x0308Hello, world!\x0F") def test_fg_lime(self): message = ircstyle.style("Hello, world!", fg="lime") self.assertEqual(message, "\x0309Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.lime) self.assertEqual(message, "\x0309Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.light_green) self.assertEqual(message, "\x0309Hello, world!\x0F") def test_fg_teal(self): message = ircstyle.style("Hello, world!", fg="teal") self.assertEqual(message, "\x0310Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.teal) self.assertEqual(message, "\x0310Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.cyan) self.assertEqual(message, "\x0310Hello, world!\x0F") def test_fg_aqua(self): message = ircstyle.style("Hello, world!", fg="aqua") self.assertEqual(message, "\x0311Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.aqua) self.assertEqual(message, "\x0311Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.light_cyan) self.assertEqual(message, "\x0311Hello, world!\x0F") def test_fg_royal(self): message = ircstyle.style("Hello, world!", fg="royal") self.assertEqual(message, "\x0312Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.royal) self.assertEqual(message, "\x0312Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.light_blue) self.assertEqual(message, "\x0312Hello, world!\x0F") def test_fg_pink(self): message = ircstyle.style("Hello, world!", fg="pink") self.assertEqual(message, "\x0313Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.pink) self.assertEqual(message, "\x0313Hello, world!\x0F") def test_fg_grey(self): message = ircstyle.style("Hello, world!", fg="grey") self.assertEqual(message, "\x0314Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.grey) self.assertEqual(message, "\x0314Hello, world!\x0F") def test_fg_silver(self): message = ircstyle.style("Hello, world!", fg="silver") self.assertEqual(message, "\x0315Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.silver) self.assertEqual(message, "\x0315Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.light_grey) self.assertEqual(message, "\x0315Hello, world!\x0F") def test_bg(self): message = ircstyle.style("Hello, world!", bg="blue") self.assertEqual(message, "\x0301,02Hello, world!\x0F") message = ircstyle.style("Hello, world!", bg=ircstyle.colors.blue) self.assertEqual(message, "\x0301,02Hello, world!\x0F") def test_fg_and_bg(self): message = ircstyle.style("Hello, world!", fg="yellow", bg="blue") self.assertEqual(message, "\x0308,02Hello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.yellow, bg=ircstyle.colors.blue) self.assertEqual(message, "\x0308,02Hello, world!\x0F") def test_fg_and_bg_no_reset(self): message = ircstyle.style("Hello, world!", fg="yellow", bg="blue", reset=False) self.assertEqual(message, "\x0308,02Hello, world!") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.yellow, bg=ircstyle.colors.blue, reset=False) self.assertEqual(message, "\x0308,02Hello, world!") def test_fg_and_bg_with_attributes(self): message = ircstyle.style("Hello, world!", fg="yellow", bg="blue", bold=True, underline=True) self.assertEqual(message, "\x0308,02\x02\x1fHello, world!\x0F") message = ircstyle.style("Hello, world!", fg=ircstyle.colors.yellow, bg=ircstyle.colors.blue, bold=True, underline=True) self.assertEqual(message, "\x0308,02\x02\x1fHello, world!\x0F") def test_bad_color(self): self.assertRaises(TypeError, ircstyle.style, "Hello, world!", "bad_color") class UnstyleTests(unittest.TestCase): def test_unstyle_complex(self): message = "\x0308,02\x02\x1fHello, world!\x0F" self.assertEqual(ircstyle.unstyle(message), "Hello, world!") def test_unstyle_nothing(self): message = "Hello, world!" self.assertEqual(ircstyle.unstyle(message), message)
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5
5b65ba8d52075bc610d4269861ad2592e94bacbc
1,399
py
Python
tests/cli/config/test_config_set_mode.py
EddLabs/eddington-static
cdd1d9514c4eea1bd06c24894b3922e6cc3fb1f5
[ "Apache-2.0" ]
null
null
null
tests/cli/config/test_config_set_mode.py
EddLabs/eddington-static
cdd1d9514c4eea1bd06c24894b3922e6cc3fb1f5
[ "Apache-2.0" ]
null
null
null
tests/cli/config/test_config_set_mode.py
EddLabs/eddington-static
cdd1d9514c4eea1bd06c24894b3922e6cc3fb1f5
[ "Apache-2.0" ]
null
null
null
import pytest from statue.cli import statue_cli from statue.runner import RunnerMode @pytest.mark.parametrize(argnames="mode", argvalues=[RunnerMode.SYNC, RunnerMode.ASYNC]) def test_config_set_mode_without_specifying_path( mode, mock_configuration_path, mock_build_configuration_from_file, cli_runner ): configuration = mock_build_configuration_from_file.return_value configuration.default_mode = None result = cli_runner.invoke(statue_cli, ["config", "set-mode", mode.name]) assert result.exit_code == 0 assert configuration.default_mode == mode configuration.to_toml.assert_called_once_with(mock_configuration_path.return_value) @pytest.mark.parametrize(argnames="mode", argvalues=[RunnerMode.SYNC, RunnerMode.ASYNC]) def test_config_set_mode_with_specified_path( mode, mock_configuration_path, mock_build_configuration_from_file, cli_runner, tmp_path, ): config_path = tmp_path / "statue.toml" config_path.touch() configuration = mock_build_configuration_from_file.return_value configuration.default_mode = None result = cli_runner.invoke( statue_cli, ["config", "set-mode", mode.name, "--config", str(config_path)] ) assert result.exit_code == 0 assert configuration.default_mode == mode configuration.to_toml.assert_called_once_with(config_path) mock_configuration_path.assert_not_called()
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5
5b9f9439e714d67b87dc57172d6d3ca22fbd1448
75,447
py
Python
fn_misp/fn_misp/util/customize.py
nickpartner-goahead/resilient-community-apps
097c0dbefddbd221b31149d82af9809420498134
[ "MIT" ]
65
2017-12-04T13:58:32.000Z
2022-03-24T18:33:17.000Z
fn_misp/fn_misp/util/customize.py
nickpartner-goahead/resilient-community-apps
097c0dbefddbd221b31149d82af9809420498134
[ "MIT" ]
48
2018-03-02T19:17:14.000Z
2022-03-09T22:00:38.000Z
fn_misp/fn_misp/util/customize.py
nickpartner-goahead/resilient-community-apps
097c0dbefddbd221b31149d82af9809420498134
[ "MIT" ]
95
2018-01-11T16:23:39.000Z
2022-03-21T11:34:29.000Z
# -*- coding: utf-8 -*- """Generate the Resilient customizations required for fn_misp""" try: from resilient import ImportDefinition except ImportError: # Support Apps running on resilient-circuits < v35.0.195 from resilient_circuits.util import ImportDefinition def codegen_reload_data(): """ Parameters required reload codegen for the fn_misp package """ return { "package": u"fn_misp", "message_destinations": [u"fn_misp"], "functions": [u"misp_search_attribute", u"misp_create_sighting", u"misp_create_tag", u"misp_sighting_list", u"misp_create_event", u"misp_create_attribute"], "workflows": [u"example_misp_search_attribute", u"example_misp_create_event", u"example_misp_create_sighting", u"example_misp_create_tag_on_attribute", u"example_misp_create_tag_on_event", u"example_misp_sighting_list", u"example_misp_create_attribute"], "actions": [u"Example: Create MISP Event", u"Example: Create MISP Sighting", u"Example: MISP Search Attribute", u"Example: MISP Sighting List", u"Example: Create MISP Attribute"], "incident_fields": [u"misp_event_id"], "incident_artifact_types": [], "datatables": [], "automatic_tasks": [], "scripts": [] } def customization_data(client=None): """ Returns a Generator of ImportDefinitions (Customizations). Install them using `resilient-circuits customize` Contents: - Message Destinations: - fn_misp - Functions: - misp_search_attribute - misp_create_sighting - misp_create_tag - misp_sighting_list - misp_create_event - misp_create_attribute - Workflows: - example_misp_search_attribute - example_misp_create_event - example_misp_create_sighting - example_misp_create_tag_on_attribute - example_misp_create_tag_on_event - example_misp_sighting_list - example_misp_create_attribute - Rules: - Example: Create MISP Event - Example: Create MISP Sighting - Example: MISP Search Attribute - Example: MISP Sighting List - Example: Create MISP Attribute - Incident Fields: - misp_event_id """ yield ImportDefinition(u""" eyJhY3Rpb25fb3JkZXIiOiBbXSwgImFjdGlvbnMiOiBbeyJhdXRvbWF0aW9ucyI6IFtdLCAiY29u ZGl0aW9ucyI6IFt7ImV2YWx1YXRpb25faWQiOiBudWxsLCAiZmllbGRfbmFtZSI6ICJpbmNpZGVu dC5wcm9wZXJ0aWVzLm1pc3BfZXZlbnRfaWQiLCAibWV0aG9kIjogImhhc19hX3ZhbHVlIiwgInR5 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5baba19690b97aa4b3f411fc710d102047959087
154
py
Python
models/__init__.py
CityU-AIM-Group/D2Net
c42f45addf9ca6c734a1335fd466abd38aa2968c
[ "Apache-2.0" ]
3
2021-11-29T02:11:54.000Z
2022-01-11T09:35:17.000Z
models/__init__.py
CityU-AIM-Group/D2Net
c42f45addf9ca6c734a1335fd466abd38aa2968c
[ "Apache-2.0" ]
null
null
null
models/__init__.py
CityU-AIM-Group/D2Net
c42f45addf9ca6c734a1335fd466abd38aa2968c
[ "Apache-2.0" ]
null
null
null
from .DMFNet_16x import MFNet,DMFNet from .UNet import Unet from .U2net3d import u2net3d as U2net3d from .DisenNet import disentangle_trainer as DisenNet
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5
5bc37b294a5127dc6e4b36f47d0e4755f8a245eb
78
py
Python
TNA/compas_tna-UI/TNA{d8bb2ef6-4539-4ba7-aa48-8ecadb23c229}/dev/__plugin__.py
compas-Workshops/WS_IASS2019
0eb626fa9e78dfd1e51100d9cd9f677978dc184d
[ "MIT" ]
1
2019-10-07T10:29:07.000Z
2019-10-07T10:29:07.000Z
TNA/compas_tna-UI/TNA{d8bb2ef6-4539-4ba7-aa48-8ecadb23c229}/dev/__plugin__.py
compas-Workshops/WS_IASS2019
0eb626fa9e78dfd1e51100d9cd9f677978dc184d
[ "MIT" ]
null
null
null
TNA/compas_tna-UI/TNA{d8bb2ef6-4539-4ba7-aa48-8ecadb23c229}/dev/__plugin__.py
compas-Workshops/WS_IASS2019
0eb626fa9e78dfd1e51100d9cd9f677978dc184d
[ "MIT" ]
1
2019-10-06T12:45:31.000Z
2019-10-06T12:45:31.000Z
id = "{d8bb2ef6-4539-4ba7-aa48-8ecadb23c229}" version = "0.1.0" title = "TNA"
19.5
45
0.666667
12
78
4.333333
0.916667
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0.289855
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5
5bdac4ecdff03b4ff404226bf00ca34c68847864
49
py
Python
src/anh/test.py
AndrewHancock/anh
3953c43ecd9870b0da66b2fca2fcc09a2142c70f
[ "Apache-2.0" ]
null
null
null
src/anh/test.py
AndrewHancock/anh
3953c43ecd9870b0da66b2fca2fcc09a2142c70f
[ "Apache-2.0" ]
null
null
null
src/anh/test.py
AndrewHancock/anh
3953c43ecd9870b0da66b2fca2fcc09a2142c70f
[ "Apache-2.0" ]
null
null
null
def spleen(): print('Spleen\'d!') spleen()
8.166667
23
0.55102
6
49
4.5
0.666667
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0.204082
49
5
24
9.8
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5
7506fc95d501600df491a7e9cc6405bd291072cf
20,396
py
Python
fattureincloud_python_sdk/models/__init__.py
fattureincloud/fattureincloud-python-sdk
f3a40fac345751014ea389680efdaef90f03bac1
[ "MIT" ]
2
2022-02-17T08:33:17.000Z
2022-03-22T09:27:00.000Z
fattureincloud_python_sdk/models/__init__.py
fattureincloud/fattureincloud-python-sdk
f3a40fac345751014ea389680efdaef90f03bac1
[ "MIT" ]
null
null
null
fattureincloud_python_sdk/models/__init__.py
fattureincloud/fattureincloud-python-sdk
f3a40fac345751014ea389680efdaef90f03bac1
[ "MIT" ]
null
null
null
# flake8: noqa # import all models into this package # if you have many models here with many references from one model to another this may # raise a RecursionError # to avoid this, import only the models that you directly need like: # from from fattureincloud_python_sdk.model.pet import Pet # or import this package, but before doing it, use: # import sys # sys.setrecursionlimit(n) from fattureincloud_python_sdk.model.archive_document import ArchiveDocument from fattureincloud_python_sdk.model.attachment_data import AttachmentData from fattureincloud_python_sdk.model.cashbook_entry import CashbookEntry from fattureincloud_python_sdk.model.cashbook_entry_document import CashbookEntryDocument from fattureincloud_python_sdk.model.cashbook_entry_kind import CashbookEntryKind from fattureincloud_python_sdk.model.cashbook_entry_type import CashbookEntryType from fattureincloud_python_sdk.model.city import City from fattureincloud_python_sdk.model.client import Client from fattureincloud_python_sdk.model.client_type import ClientType from fattureincloud_python_sdk.model.company import Company from fattureincloud_python_sdk.model.company_info import CompanyInfo from fattureincloud_python_sdk.model.company_info_access_info import CompanyInfoAccessInfo from fattureincloud_python_sdk.model.company_info_plan_info import CompanyInfoPlanInfo from fattureincloud_python_sdk.model.company_info_plan_info_functions import CompanyInfoPlanInfoFunctions from fattureincloud_python_sdk.model.company_info_plan_info_functions_status import CompanyInfoPlanInfoFunctionsStatus from fattureincloud_python_sdk.model.company_info_plan_info_limits import CompanyInfoPlanInfoLimits from fattureincloud_python_sdk.model.company_type import CompanyType from fattureincloud_python_sdk.model.controlled_company import ControlledCompany from fattureincloud_python_sdk.model.create_archive_document_request import CreateArchiveDocumentRequest from fattureincloud_python_sdk.model.create_archive_document_response import CreateArchiveDocumentResponse from fattureincloud_python_sdk.model.create_cashbook_entry_request import CreateCashbookEntryRequest from fattureincloud_python_sdk.model.create_cashbook_entry_response import CreateCashbookEntryResponse from fattureincloud_python_sdk.model.create_client_request import CreateClientRequest from fattureincloud_python_sdk.model.create_client_response import CreateClientResponse from fattureincloud_python_sdk.model.create_f24_request import CreateF24Request from fattureincloud_python_sdk.model.create_f24_response import CreateF24Response from fattureincloud_python_sdk.model.create_issued_document_request import CreateIssuedDocumentRequest from fattureincloud_python_sdk.model.create_issued_document_response import CreateIssuedDocumentResponse from fattureincloud_python_sdk.model.create_payment_account_request import CreatePaymentAccountRequest from fattureincloud_python_sdk.model.create_payment_account_response import CreatePaymentAccountResponse from fattureincloud_python_sdk.model.create_payment_method_request import CreatePaymentMethodRequest from fattureincloud_python_sdk.model.create_payment_method_response import CreatePaymentMethodResponse from fattureincloud_python_sdk.model.create_product_request import CreateProductRequest from fattureincloud_python_sdk.model.create_product_response import CreateProductResponse from fattureincloud_python_sdk.model.create_receipt_request import CreateReceiptRequest from fattureincloud_python_sdk.model.create_receipt_response import CreateReceiptResponse from fattureincloud_python_sdk.model.create_received_document_request import CreateReceivedDocumentRequest from fattureincloud_python_sdk.model.create_received_document_response import CreateReceivedDocumentResponse from fattureincloud_python_sdk.model.create_supplier_request import CreateSupplierRequest from fattureincloud_python_sdk.model.create_supplier_response import CreateSupplierResponse from fattureincloud_python_sdk.model.create_vat_type_request import CreateVatTypeRequest from fattureincloud_python_sdk.model.create_vat_type_response import CreateVatTypeResponse from fattureincloud_python_sdk.model.currency import Currency from fattureincloud_python_sdk.model.default_payment_terms_type import DefaultPaymentTermsType from fattureincloud_python_sdk.model.detailed_country import DetailedCountry from fattureincloud_python_sdk.model.document_template import DocumentTemplate from fattureincloud_python_sdk.model.e_invoice_rejection_reason import EInvoiceRejectionReason from fattureincloud_python_sdk.model.email_data import EmailData from fattureincloud_python_sdk.model.email_data_default_sender_email import EmailDataDefaultSenderEmail from fattureincloud_python_sdk.model.email_schedule import EmailSchedule from fattureincloud_python_sdk.model.email_schedule_include import EmailScheduleInclude from fattureincloud_python_sdk.model.entity import Entity from fattureincloud_python_sdk.model.entity_type import EntityType from fattureincloud_python_sdk.model.f24 import F24 from fattureincloud_python_sdk.model.f24_status import F24Status from fattureincloud_python_sdk.model.function_status import FunctionStatus from fattureincloud_python_sdk.model.get_archive_document_response import GetArchiveDocumentResponse from fattureincloud_python_sdk.model.get_cashbook_entry_response import GetCashbookEntryResponse from fattureincloud_python_sdk.model.get_client_response import GetClientResponse from fattureincloud_python_sdk.model.get_company_info_response import GetCompanyInfoResponse from fattureincloud_python_sdk.model.get_e_invoice_rejection_reason_response import GetEInvoiceRejectionReasonResponse from fattureincloud_python_sdk.model.get_email_data_response import GetEmailDataResponse from fattureincloud_python_sdk.model.get_existing_issued_document_totals_request import GetExistingIssuedDocumentTotalsRequest from fattureincloud_python_sdk.model.get_existing_issued_document_totals_response import GetExistingIssuedDocumentTotalsResponse from fattureincloud_python_sdk.model.get_existing_received_document_totals_request import GetExistingReceivedDocumentTotalsRequest from fattureincloud_python_sdk.model.get_existing_received_document_totals_response import GetExistingReceivedDocumentTotalsResponse from fattureincloud_python_sdk.model.get_f24_response import GetF24Response from fattureincloud_python_sdk.model.get_issued_document_pre_create_info_response import GetIssuedDocumentPreCreateInfoResponse from fattureincloud_python_sdk.model.get_issued_document_response import GetIssuedDocumentResponse from fattureincloud_python_sdk.model.get_new_issued_document_totals_request import GetNewIssuedDocumentTotalsRequest from fattureincloud_python_sdk.model.get_new_issued_document_totals_response import GetNewIssuedDocumentTotalsResponse from fattureincloud_python_sdk.model.get_new_received_document_totals_request import GetNewReceivedDocumentTotalsRequest from fattureincloud_python_sdk.model.get_new_received_document_totals_response import GetNewReceivedDocumentTotalsResponse from fattureincloud_python_sdk.model.get_payment_account_response import GetPaymentAccountResponse from fattureincloud_python_sdk.model.get_payment_method_response import GetPaymentMethodResponse from fattureincloud_python_sdk.model.get_product_response import GetProductResponse from fattureincloud_python_sdk.model.get_receipt_pre_create_info_response import GetReceiptPreCreateInfoResponse from fattureincloud_python_sdk.model.get_receipt_response import GetReceiptResponse from fattureincloud_python_sdk.model.get_receipts_monthly_totals_response import GetReceiptsMonthlyTotalsResponse from fattureincloud_python_sdk.model.get_received_document_pre_create_info_response import GetReceivedDocumentPreCreateInfoResponse from fattureincloud_python_sdk.model.get_received_document_response import GetReceivedDocumentResponse from fattureincloud_python_sdk.model.get_supplier_response import GetSupplierResponse from fattureincloud_python_sdk.model.get_user_info_response import GetUserInfoResponse from fattureincloud_python_sdk.model.get_user_info_response_email_confirmation_state import GetUserInfoResponseEmailConfirmationState from fattureincloud_python_sdk.model.get_user_info_response_info import GetUserInfoResponseInfo from fattureincloud_python_sdk.model.get_vat_type_response import GetVatTypeResponse from fattureincloud_python_sdk.model.issued_document import IssuedDocument from fattureincloud_python_sdk.model.issued_document_ei_data import IssuedDocumentEiData from fattureincloud_python_sdk.model.issued_document_extra_data import IssuedDocumentExtraData from fattureincloud_python_sdk.model.issued_document_items_list_item import IssuedDocumentItemsListItem from fattureincloud_python_sdk.model.issued_document_options import IssuedDocumentOptions from fattureincloud_python_sdk.model.issued_document_payments_list_item import IssuedDocumentPaymentsListItem from fattureincloud_python_sdk.model.issued_document_pre_create_info import IssuedDocumentPreCreateInfo from fattureincloud_python_sdk.model.issued_document_pre_create_info_default_values import IssuedDocumentPreCreateInfoDefaultValues from fattureincloud_python_sdk.model.issued_document_pre_create_info_extra_data_default_values import IssuedDocumentPreCreateInfoExtraDataDefaultValues from fattureincloud_python_sdk.model.issued_document_pre_create_info_items_default_values import IssuedDocumentPreCreateInfoItemsDefaultValues from fattureincloud_python_sdk.model.issued_document_status import IssuedDocumentStatus from fattureincloud_python_sdk.model.issued_document_totals import IssuedDocumentTotals from fattureincloud_python_sdk.model.issued_document_type import IssuedDocumentType from fattureincloud_python_sdk.model.language import Language from fattureincloud_python_sdk.model.list_archive_categories_response import ListArchiveCategoriesResponse from fattureincloud_python_sdk.model.list_archive_documents_response import ListArchiveDocumentsResponse from fattureincloud_python_sdk.model.list_archive_documents_response_page import ListArchiveDocumentsResponsePage from fattureincloud_python_sdk.model.list_cashbook_entries_response import ListCashbookEntriesResponse from fattureincloud_python_sdk.model.list_cities_response import ListCitiesResponse from fattureincloud_python_sdk.model.list_clients_response import ListClientsResponse from fattureincloud_python_sdk.model.list_clients_response_page import ListClientsResponsePage from fattureincloud_python_sdk.model.list_cost_centers_response import ListCostCentersResponse from fattureincloud_python_sdk.model.list_countries_response import ListCountriesResponse from fattureincloud_python_sdk.model.list_currencies_response import ListCurrenciesResponse from fattureincloud_python_sdk.model.list_delivery_notes_default_causals_response import ListDeliveryNotesDefaultCausalsResponse from fattureincloud_python_sdk.model.list_detailed_countries_response import ListDetailedCountriesResponse from fattureincloud_python_sdk.model.list_f24_response import ListF24Response from fattureincloud_python_sdk.model.list_f24_response_aggregated_data import ListF24ResponseAggregatedData from fattureincloud_python_sdk.model.list_f24_response_aggregation import ListF24ResponseAggregation from fattureincloud_python_sdk.model.list_f24_response_page import ListF24ResponsePage from fattureincloud_python_sdk.model.list_issued_documents_response import ListIssuedDocumentsResponse from fattureincloud_python_sdk.model.list_issued_documents_response_page import ListIssuedDocumentsResponsePage from fattureincloud_python_sdk.model.list_languages_response import ListLanguagesResponse from fattureincloud_python_sdk.model.list_payment_accounts_response import ListPaymentAccountsResponse from fattureincloud_python_sdk.model.list_payment_methods_response import ListPaymentMethodsResponse from fattureincloud_python_sdk.model.list_product_categories_response import ListProductCategoriesResponse from fattureincloud_python_sdk.model.list_products_response import ListProductsResponse from fattureincloud_python_sdk.model.list_products_response_page import ListProductsResponsePage from fattureincloud_python_sdk.model.list_receipts_response import ListReceiptsResponse from fattureincloud_python_sdk.model.list_receipts_response_page import ListReceiptsResponsePage from fattureincloud_python_sdk.model.list_received_document_categories_response import ListReceivedDocumentCategoriesResponse from fattureincloud_python_sdk.model.list_received_documents_response import ListReceivedDocumentsResponse from fattureincloud_python_sdk.model.list_received_documents_response_page import ListReceivedDocumentsResponsePage from fattureincloud_python_sdk.model.list_revenue_centers_response import ListRevenueCentersResponse from fattureincloud_python_sdk.model.list_suppliers_response import ListSuppliersResponse from fattureincloud_python_sdk.model.list_suppliers_response_page import ListSuppliersResponsePage from fattureincloud_python_sdk.model.list_templates_response import ListTemplatesResponse from fattureincloud_python_sdk.model.list_units_of_measure_response import ListUnitsOfMeasureResponse from fattureincloud_python_sdk.model.list_user_companies_response import ListUserCompaniesResponse from fattureincloud_python_sdk.model.list_user_companies_response_data import ListUserCompaniesResponseData from fattureincloud_python_sdk.model.list_vat_types_response import ListVatTypesResponse from fattureincloud_python_sdk.model.modify_archive_document_request import ModifyArchiveDocumentRequest from fattureincloud_python_sdk.model.modify_archive_document_response import ModifyArchiveDocumentResponse from fattureincloud_python_sdk.model.modify_cashbook_entry_request import ModifyCashbookEntryRequest from fattureincloud_python_sdk.model.modify_cashbook_entry_response import ModifyCashbookEntryResponse from fattureincloud_python_sdk.model.modify_client_request import ModifyClientRequest from fattureincloud_python_sdk.model.modify_client_response import ModifyClientResponse from fattureincloud_python_sdk.model.modify_f24_request import ModifyF24Request from fattureincloud_python_sdk.model.modify_f24_response import ModifyF24Response from fattureincloud_python_sdk.model.modify_issued_document_request import ModifyIssuedDocumentRequest from fattureincloud_python_sdk.model.modify_issued_document_response import ModifyIssuedDocumentResponse from fattureincloud_python_sdk.model.modify_payment_account_request import ModifyPaymentAccountRequest from fattureincloud_python_sdk.model.modify_payment_account_response import ModifyPaymentAccountResponse from fattureincloud_python_sdk.model.modify_payment_method_request import ModifyPaymentMethodRequest from fattureincloud_python_sdk.model.modify_payment_method_response import ModifyPaymentMethodResponse from fattureincloud_python_sdk.model.modify_product_request import ModifyProductRequest from fattureincloud_python_sdk.model.modify_product_response import ModifyProductResponse from fattureincloud_python_sdk.model.modify_receipt_request import ModifyReceiptRequest from fattureincloud_python_sdk.model.modify_receipt_response import ModifyReceiptResponse from fattureincloud_python_sdk.model.modify_received_document_request import ModifyReceivedDocumentRequest from fattureincloud_python_sdk.model.modify_received_document_response import ModifyReceivedDocumentResponse from fattureincloud_python_sdk.model.modify_supplier_request import ModifySupplierRequest from fattureincloud_python_sdk.model.modify_supplier_response import ModifySupplierResponse from fattureincloud_python_sdk.model.modify_vat_type_request import ModifyVatTypeRequest from fattureincloud_python_sdk.model.modify_vat_type_response import ModifyVatTypeResponse from fattureincloud_python_sdk.model.monthly_total import MonthlyTotal from fattureincloud_python_sdk.model.numeration import Numeration from fattureincloud_python_sdk.model.numeration_item import NumerationItem from fattureincloud_python_sdk.model.original_document_type import OriginalDocumentType from fattureincloud_python_sdk.model.pagination import Pagination from fattureincloud_python_sdk.model.payment_account import PaymentAccount from fattureincloud_python_sdk.model.payment_account_type import PaymentAccountType from fattureincloud_python_sdk.model.payment_method import PaymentMethod from fattureincloud_python_sdk.model.payment_method_details import PaymentMethodDetails from fattureincloud_python_sdk.model.payment_method_type import PaymentMethodType from fattureincloud_python_sdk.model.permission_level import PermissionLevel from fattureincloud_python_sdk.model.permissions import Permissions from fattureincloud_python_sdk.model.permissions_fic_issued_documents_detailed import PermissionsFicIssuedDocumentsDetailed from fattureincloud_python_sdk.model.product import Product from fattureincloud_python_sdk.model.receipt import Receipt from fattureincloud_python_sdk.model.receipt_items_list_item import ReceiptItemsListItem from fattureincloud_python_sdk.model.receipt_pre_create_info import ReceiptPreCreateInfo from fattureincloud_python_sdk.model.receipt_type import ReceiptType from fattureincloud_python_sdk.model.received_document import ReceivedDocument from fattureincloud_python_sdk.model.received_document_entity import ReceivedDocumentEntity from fattureincloud_python_sdk.model.received_document_info import ReceivedDocumentInfo from fattureincloud_python_sdk.model.received_document_info_default_values import ReceivedDocumentInfoDefaultValues from fattureincloud_python_sdk.model.received_document_info_items_default_values import ReceivedDocumentInfoItemsDefaultValues from fattureincloud_python_sdk.model.received_document_items_list_item import ReceivedDocumentItemsListItem from fattureincloud_python_sdk.model.received_document_payments_list_item import ReceivedDocumentPaymentsListItem from fattureincloud_python_sdk.model.received_document_payments_list_item_payment_terms import ReceivedDocumentPaymentsListItemPaymentTerms from fattureincloud_python_sdk.model.received_document_totals import ReceivedDocumentTotals from fattureincloud_python_sdk.model.received_document_type import ReceivedDocumentType from fattureincloud_python_sdk.model.schedule_email_request import ScheduleEmailRequest from fattureincloud_python_sdk.model.send_e_invoice_request import SendEInvoiceRequest from fattureincloud_python_sdk.model.send_e_invoice_request_data import SendEInvoiceRequestData from fattureincloud_python_sdk.model.send_e_invoice_response import SendEInvoiceResponse from fattureincloud_python_sdk.model.send_e_invoice_response_data import SendEInvoiceResponseData from fattureincloud_python_sdk.model.sender_email import SenderEmail from fattureincloud_python_sdk.model.show_totals_mode import ShowTotalsMode from fattureincloud_python_sdk.model.supplier import Supplier from fattureincloud_python_sdk.model.supplier_type import SupplierType from fattureincloud_python_sdk.model.upload_archive_attachment_response import UploadArchiveAttachmentResponse from fattureincloud_python_sdk.model.upload_f24_attachment_response import UploadF24AttachmentResponse from fattureincloud_python_sdk.model.upload_issued_document_attachment_response import UploadIssuedDocumentAttachmentResponse from fattureincloud_python_sdk.model.upload_received_document_attachment_response import UploadReceivedDocumentAttachmentResponse from fattureincloud_python_sdk.model.user import User from fattureincloud_python_sdk.model.user_company_role import UserCompanyRole from fattureincloud_python_sdk.model.vat_item import VatItem from fattureincloud_python_sdk.model.vat_kind import VatKind from fattureincloud_python_sdk.model.vat_list import VatList from fattureincloud_python_sdk.model.vat_type import VatType from fattureincloud_python_sdk.model.verify_e_invoice_xml_error_response import VerifyEInvoiceXmlErrorResponse from fattureincloud_python_sdk.model.verify_e_invoice_xml_error_response_error import VerifyEInvoiceXmlErrorResponseError from fattureincloud_python_sdk.model.verify_e_invoice_xml_error_response_extra import VerifyEInvoiceXmlErrorResponseExtra from fattureincloud_python_sdk.model.verify_e_invoice_xml_response import VerifyEInvoiceXmlResponse from fattureincloud_python_sdk.model.verify_e_invoice_xml_response_data import VerifyEInvoiceXmlResponseData
90.648889
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7507dbfee90127334f61c84bf8a691ac1397648e
155
py
Python
hls4ml/report/__init__.py
simplelins/hls4ml
d4e27de7db44a11beba91c4518ddf016f647128a
[ "Apache-2.0" ]
null
null
null
hls4ml/report/__init__.py
simplelins/hls4ml
d4e27de7db44a11beba91c4518ddf016f647128a
[ "Apache-2.0" ]
null
null
null
hls4ml/report/__init__.py
simplelins/hls4ml
d4e27de7db44a11beba91c4518ddf016f647128a
[ "Apache-2.0" ]
null
null
null
from __future__ import absolute_import from hls4ml.report.vivado_report import read_vivado_report from hls4ml.report.vitis_report import read_vitis_report
38.75
58
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0.25
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0
0
0
0
1
0
1
0
0
0
0
5
7520c0e1a981dc5966008f670bb454da3b2f38f0
18
py
Python
puppetboard/__init__.py
jgrammen-agilitypr/puppetboard
8d381676f974dceff5bf1e9d39aa180b72b340ae
[ "Apache-2.0" ]
352
2016-01-04T21:27:26.000Z
2022-03-22T14:04:47.000Z
puppetboard/__init__.py
jgrammen-agilitypr/puppetboard
8d381676f974dceff5bf1e9d39aa180b72b340ae
[ "Apache-2.0" ]
465
2016-01-06T14:39:56.000Z
2022-03-29T18:20:06.000Z
puppetboard/__init__.py
jgrammen-agilitypr/puppetboard
8d381676f974dceff5bf1e9d39aa180b72b340ae
[ "Apache-2.0" ]
208
2016-01-08T20:08:37.000Z
2022-03-29T14:34:38.000Z
# # Puppetboard #
4.5
13
0.611111
1
18
11
1
0
0
0
0
0
0
0
0
0
0
0
0.222222
18
3
14
6
0.785714
0.611111
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
1
1
1
null
0
0
0
0
0
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1
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null
0
0
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0
0
0
1
0
0
0
0
0
0
5
7562539c289973e6efbf9d6fdc52259b7b40be0a
23
py
Python
ten-apps/06-lolcat-factory/program.py
ryentzer/talkpython-courses
5f08b2be5a98f3d03571f416920585257775a918
[ "MIT" ]
null
null
null
ten-apps/06-lolcat-factory/program.py
ryentzer/talkpython-courses
5f08b2be5a98f3d03571f416920585257775a918
[ "MIT" ]
null
null
null
ten-apps/06-lolcat-factory/program.py
ryentzer/talkpython-courses
5f08b2be5a98f3d03571f416920585257775a918
[ "MIT" ]
null
null
null
# App 6 lolcat factory
11.5
22
0.73913
4
23
4.25
1
0
0
0
0
0
0
0
0
0
0
0.055556
0.217391
23
1
23
23
0.888889
0.869565
0
null
0
null
0
0
null
0
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0
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1
null
true
0
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null
1
1
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1
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0
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0
null
0
0
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0
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1
0
0
0
0
0
0
5
f33d208ae2180d1f7e0dc60b07b742dc05c0c5f7
184
py
Python
src/bot/config.py
lama-imp/dls_image_bot
ae6cd65e394ce7dfb164434d76d595332ad39dd7
[ "MIT" ]
null
null
null
src/bot/config.py
lama-imp/dls_image_bot
ae6cd65e394ce7dfb164434d76d595332ad39dd7
[ "MIT" ]
null
null
null
src/bot/config.py
lama-imp/dls_image_bot
ae6cd65e394ce7dfb164434d76d595332ad39dd7
[ "MIT" ]
null
null
null
import os BOT_TOKEN = os.getenv('TOKEN') # image to send with the welcome message start_image = 'AgACAgIAAxkBAAN5Yeu3Cg67Vs3D1b1HpCqcrfz0fU8AAue5MRvYwmBLRO6y1jaLRhkBAAMCAAN4AAMjBA'
23
98
0.842391
17
184
9
0.823529
0
0
0
0
0
0
0
0
0
0
0.078788
0.103261
184
7
99
26.285714
0.848485
0.206522
0
0
0
0
0.604167
0.569444
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
null
0
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0
0
0
0
1
0
0
0
0
5
45e7e82ad579d3a08f34b0b8fa227018bb87e07e
78
py
Python
katas/kyu_7/find_the_capitals.py
the-zebulan/CodeWars
1eafd1247d60955a5dfb63e4882e8ce86019f43a
[ "MIT" ]
40
2016-03-09T12:26:20.000Z
2022-03-23T08:44:51.000Z
katas/kyu_7/find_the_capitals.py
akalynych/CodeWars
1eafd1247d60955a5dfb63e4882e8ce86019f43a
[ "MIT" ]
null
null
null
katas/kyu_7/find_the_capitals.py
akalynych/CodeWars
1eafd1247d60955a5dfb63e4882e8ce86019f43a
[ "MIT" ]
36
2016-11-07T19:59:58.000Z
2022-03-31T11:18:27.000Z
def capitals(word): return [i for i, a in enumerate(word) if a.isupper()]
26
57
0.666667
14
78
3.714286
0.785714
0
0
0
0
0
0
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0
0
0
0
0.192308
78
2
58
39
0.825397
0
0
0
0
0
0
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0
0
0
0
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1
0.5
false
0
0
0.5
1
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1
0
0
null
0
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1
0
0
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0
null
0
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0
0
1
0
0
0
1
1
0
0
5
45e8e2b862d58830259130b9bfb67d05353c903b
129
py
Python
CodonSubstitution/build/biopython/Bio/Sequencing/Applications/__init__.py
JackCurragh/DARNED
13963d129bd8f69fb1106ad1f47394b3211a939c
[ "MIT" ]
37
2015-02-24T18:58:30.000Z
2021-03-07T21:22:18.000Z
CodonSubstitution/build/biopython/Bio/Sequencing/Applications/__init__.py
JackCurragh/DARNED
13963d129bd8f69fb1106ad1f47394b3211a939c
[ "MIT" ]
12
2016-06-09T21:57:00.000Z
2020-09-11T18:48:51.000Z
CodonSubstitution/build/biopython/Bio/Sequencing/Applications/__init__.py
JackCurragh/DARNED
13963d129bd8f69fb1106ad1f47394b3211a939c
[ "MIT" ]
19
2016-03-26T08:15:17.000Z
2021-04-12T05:03:29.000Z
"""Main entry point for application command line wrappers related to sequencing. """ from _Novoalign import NovoalignCommandline
32.25
80
0.821705
15
129
7
1
0
0
0
0
0
0
0
0
0
0
0
0.124031
129
3
81
43
0.929204
0.596899
0
0
0
0
0
0
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0
0
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1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
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1
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0
0
0
0
0
0
0
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0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
3443100a34e1bead9451a467749ecb81abe208a5
130
py
Python
profiles_api/apps.py
tonnyvanhaeren/profiles-rest-api
28078c5ad05b06470edf5cf4a4745067df203b7a
[ "MIT" ]
null
null
null
profiles_api/apps.py
tonnyvanhaeren/profiles-rest-api
28078c5ad05b06470edf5cf4a4745067df203b7a
[ "MIT" ]
null
null
null
profiles_api/apps.py
tonnyvanhaeren/profiles-rest-api
28078c5ad05b06470edf5cf4a4745067df203b7a
[ "MIT" ]
null
null
null
from django.apps import AppConfig class ProfilesApiConfig(AppConfig): """ Profiles Api Config """ name = 'profiles_api'
18.571429
35
0.715385
14
130
6.571429
0.785714
0.23913
0
0
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0
0.184615
130
6
36
21.666667
0.867925
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1
0
false
0
0.333333
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1
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1
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null
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null
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0
1
0
1
0
0
5
3449276fd2c0574e76039283dfc1ffdc153721a4
30
py
Python
torba/torba/workbench/__init__.py
mittalkartik2000/lbry-sdk
a07b17ec0c9c5d0a88bc730caf6ab955e0971b38
[ "MIT" ]
4,076
2018-06-01T05:54:24.000Z
2022-03-07T21:05:52.000Z
torba/torba/workbench/__init__.py
mittalkartik2000/lbry-sdk
a07b17ec0c9c5d0a88bc730caf6ab955e0971b38
[ "MIT" ]
80
2018-06-14T01:02:03.000Z
2019-06-19T10:45:39.000Z
torba/torba/workbench/__init__.py
braveheart12/lbry-sdk
dc709b468f9dce60d206161785def5c7ace2b763
[ "MIT" ]
20
2018-06-27T21:52:22.000Z
2022-03-08T11:25:23.000Z
from .application import main
15
29
0.833333
4
30
6.25
1
0
0
0
0
0
0
0
0
0
0
0
0.133333
30
1
30
30
0.961538
0
0
0
0
0
0
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0
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0
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1
0
true
0
1
0
1
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1
1
0
null
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1
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null
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0
0
1
0
1
0
0
0
0
5
347d8890c8f33faf118864dc9b054febc0851713
248
py
Python
Seeder/source/management/commands/generate_screenshots.py
WebarchivCZ/Seeder
1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8
[ "MIT" ]
8
2017-08-16T19:18:57.000Z
2022-01-24T10:08:19.000Z
Seeder/source/management/commands/generate_screenshots.py
WebarchivCZ/Seeder
1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8
[ "MIT" ]
242
2017-02-03T19:15:52.000Z
2022-03-25T08:02:52.000Z
Seeder/source/management/commands/generate_screenshots.py
WebarchivCZ/Seeder
1958c5d3f6bdcbbdb2c81dcb6abc7f689125b6a8
[ "MIT" ]
2
2019-03-06T12:36:29.000Z
2019-07-08T12:52:20.000Z
from django.core.management.base import BaseCommand from source.screenshots import take_screenshots class Command(BaseCommand): help = 'Generates screenshots for the sources' def handle(self, *args, **options): take_screenshots()
27.555556
51
0.758065
29
248
6.413793
0.758621
0.16129
0
0
0
0
0
0
0
0
0
0
0.16129
248
9
52
27.555556
0.894231
0
0
0
1
0
0.148594
0
0
0
0
0
0
1
0.166667
false
0
0.333333
0
0.833333
0
1
0
0
null
0
0
0
0
0
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0
0
0
0
0
0
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1
0
0
0
0
0
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1
0
0
0
null
0
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0
0
0
0
0
1
0
1
0
0
5
caa426f601621620caf8a388e6ae7b1cc2725f33
84
py
Python
Codefights/arcade/code-arcade/level-2/11.Extra-Number/Python/solution1.py
RevansChen/online-judge
ad1b07fee7bd3c49418becccda904e17505f3018
[ "MIT" ]
7
2017-09-20T16:40:39.000Z
2021-08-31T18:15:08.000Z
Codefights/arcade/code-arcade/level-2/11.Extra-Number/Python/solution1.py
RevansChen/online-judge
ad1b07fee7bd3c49418becccda904e17505f3018
[ "MIT" ]
null
null
null
Codefights/arcade/code-arcade/level-2/11.Extra-Number/Python/solution1.py
RevansChen/online-judge
ad1b07fee7bd3c49418becccda904e17505f3018
[ "MIT" ]
null
null
null
# Python3 def extraNumber(a, b, c): return c if a == b else a if a != c else b
16.8
46
0.583333
18
84
2.722222
0.5
0.081633
0
0
0
0
0
0
0
0
0
0.016949
0.297619
84
4
47
21
0.813559
0.083333
0
0
0
0
0
0
0
0
0
0
0
1
0.5
false
0
0
0.5
1
0
1
0
0
null
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1
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0
null
0
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1
0
0
0
1
1
0
0
5
cabda1a193e5b3a53fa33ebb2d206cf3ffbb5b60
129
py
Python
twist/error_handlers.py
YourLocalDeveloper/Twist
2734ffc9206071570fecbb89d0b6b25364b00330
[ "MIT" ]
5
2020-11-25T19:41:07.000Z
2021-02-17T18:35:38.000Z
twist/error_handlers.py
YourLocalDeveloper/Twist
2734ffc9206071570fecbb89d0b6b25364b00330
[ "MIT" ]
null
null
null
twist/error_handlers.py
YourLocalDeveloper/Twist
2734ffc9206071570fecbb89d0b6b25364b00330
[ "MIT" ]
null
null
null
import traceback def debug_exception_handler(req, resp, exception): resp.text = f"{exception}\n\n{traceback.format_exc()}"
21.5
58
0.744186
18
129
5.166667
0.722222
0
0
0
0
0
0
0
0
0
0
0
0.116279
129
5
59
25.8
0.815789
0
0
0
0
0
0.302326
0.302326
0
0
0
0
0
1
0.333333
false
0
0.333333
0
0.666667
0
1
0
0
null
0
0
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0
0
0
0
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0
0
0
0
1
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0
0
0
0
0
0
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0
0
null
0
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0
1
0
0
1
0
1
0
0
5
cad9c383f061517bd98e21a28da21b7ce5ff926a
96
py
Python
Reaper-Python-Scripts/Functions.py
kvande-standingwave/projects-
c9c791eaa81f6fd0d8885db2758683fc2ab5fc93
[ "MIT" ]
null
null
null
Reaper-Python-Scripts/Functions.py
kvande-standingwave/projects-
c9c791eaa81f6fd0d8885db2758683fc2ab5fc93
[ "MIT" ]
null
null
null
Reaper-Python-Scripts/Functions.py
kvande-standingwave/projects-
c9c791eaa81f6fd0d8885db2758683fc2ab5fc93
[ "MIT" ]
1
2017-12-07T17:28:08.000Z
2017-12-07T17:28:08.000Z
from reaper_python import * def log(string): RPR_ShowConsoleMsg('{}{}'.format(string,'\n'))
24
50
0.6875
12
96
5.333333
0.916667
0
0
0
0
0
0
0
0
0
0
0
0.114583
96
4
50
24
0.752941
0
0
0
0
0
0.061856
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
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0
0
1
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0
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0
0
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0
0
0
0
null
0
0
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1
0
0
1
0
1
0
0
5
cafd9276d41e9bca8bd67a0b3bd70bb4d97f466d
152
py
Python
pythonzestclient/__init__.py
pooyadav/lib-python-databox
25b4670d3c5706708b4d2bf8badea5c625232e78
[ "MIT" ]
null
null
null
pythonzestclient/__init__.py
pooyadav/lib-python-databox
25b4670d3c5706708b4d2bf8badea5c625232e78
[ "MIT" ]
1
2018-11-26T11:31:47.000Z
2018-12-19T23:38:42.000Z
pythonzestclient/__init__.py
pooyadav/lib-python-databox
25b4670d3c5706708b4d2bf8badea5c625232e78
[ "MIT" ]
1
2019-09-19T10:29:26.000Z
2019-09-19T10:29:26.000Z
__author__ = 'pooyadav' from pythonzestclient.pyZestClient import * from pythonzestclient.pyZestUtil import * from pythonzestclient.exception import *
25.333333
43
0.835526
14
152
8.785714
0.571429
0.487805
0.422764
0
0
0
0
0
0
0
0
0
0.105263
152
5
44
30.4
0.904412
0
0
0
0
0
0.052632
0
0
0
0
0
0
1
0
false
0
0.75
0
0.75
0
1
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0
null
1
1
0
0
0
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0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
5
1b580daf3c412d968e22d6f246f50b1e2bc6387b
100
py
Python
examples/file_loader_ext/hello_world.py
alanxoc3/lookatme
52a894f4d078152b1c932e412a8cf909c0f342bb
[ "MIT" ]
1,179
2019-12-02T01:36:44.000Z
2022-03-30T11:45:45.000Z
examples/file_loader_ext/hello_world.py
alanxoc3/lookatme
52a894f4d078152b1c932e412a8cf909c0f342bb
[ "MIT" ]
83
2019-11-29T03:50:22.000Z
2022-02-25T17:13:42.000Z
examples/file_loader_ext/hello_world.py
alanxoc3/lookatme
52a894f4d078152b1c932e412a8cf909c0f342bb
[ "MIT" ]
37
2020-02-19T17:12:14.000Z
2022-03-09T02:56:23.000Z
def hello_world(arg1): print(f"Hello World, {arg1}") hello_world(input("What is your name? "))
20
41
0.68
16
100
4.125
0.6875
0.454545
0.424242
0
0
0
0
0
0
0
0
0.023529
0.15
100
4
42
25
0.752941
0
0
0
0
0
0.38
0
0
0
0
0
0
1
0.333333
false
0
0
0
0.333333
0.333333
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
5
1b5d98e88436403c8da2824c7dd40c5041cc898e
5,872
py
Python
tests/test_geosparql.py
RDFLib/geosparql-dggs
1010e92703dcd7427dcff993fc8ff1ed868fe0d8
[ "BSD-3-Clause" ]
1
2021-11-13T22:04:03.000Z
2021-11-13T22:04:03.000Z
tests/test_geosparql.py
RDFLib/geosparql-dggs
1010e92703dcd7427dcff993fc8ff1ed868fe0d8
[ "BSD-3-Clause" ]
null
null
null
tests/test_geosparql.py
RDFLib/geosparql-dggs
1010e92703dcd7427dcff993fc8ff1ed868fe0d8
[ "BSD-3-Clause" ]
null
null
null
from rdflib import Literal, Graph, Namespace, URIRef from gsdggs import DGGS GEO = Namespace("http://www.opengis.net/ont/geosparql#") # image showing cells is in tests folder g = Graph() geom_a = URIRef("https://geom-a") geom_b = URIRef("https://geom-b") geom_c = URIRef("https://geom-c") geom_d = URIRef("https://geom-d") geom_g = URIRef("https://geom-g") g.add((geom_a, GEO.hasGeometry, Literal("CELLLIST ((R0 R10 R13 R16 R30 R31 R32 R40))"))) g.add((geom_b, GEO.hasGeometry, Literal("CELLLIST ((R06 R07 R30 R31))"))) g.add((geom_c, GEO.hasGeometry, Literal("CELLLIST ((R11 R12 R14 R15))"))) g.add((geom_d, GEO.hasGeometry, Literal("CELLLIST ((R40 R41 R43 R44))"))) g.add((geom_g, GEO.hasGeometry, Literal("CELLLIST ((R40 R41 R43 R44))"))) def test_contains(): # A contains B result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfContains(?a_geom, ?b_geom) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 1 assert result[0]["a"] == geom_a and result[0]["b"] == geom_b def test_within(): # B is within A result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfWithin(?a_geom, ?b_geom) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 1 assert result[0]["a"] == geom_b and result[0]["b"] == geom_a def test_intersects(): # A intersects B # A intersects C # A intersects D # A intersects G # B intersects A # C intersects A # D intersects A # D intersects G # G intersects A # G intersects D result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfIntersects(?a_geom, ?b_geom) FILTER (?a!=?b) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 10 assert {"a": geom_a, "b": geom_b} in result assert {"a": geom_a, "b": geom_c} in result assert {"a": geom_a, "b": geom_d} in result assert {"a": geom_a, "b": geom_g} in result assert {"a": geom_b, "b": geom_a} in result assert {"a": geom_c, "b": geom_a} in result assert {"a": geom_d, "b": geom_a} in result assert {"a": geom_d, "b": geom_g} in result assert {"a": geom_g, "b": geom_a} in result assert {"a": geom_g, "b": geom_d} in result def test_touches(): # A touches C # C touches A result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfTouches(?a_geom, ?b_geom) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 2 assert {"a": geom_a, "b": geom_c} in result assert {"a": geom_c, "b": geom_a} in result def test_equals(): # D equals G # G equals D result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfEquals(?a_geom, ?b_geom) FILTER(?a!=?b) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 2 assert {"a": geom_d, "b": geom_g} in result assert {"a": geom_g, "b": geom_d} in result def test_overlaps(): # D overlaps A # A overlaps D # G overlaps A # A overlaps G result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfOverlaps(?a_geom, ?b_geom) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 4 assert {"a": geom_a, "b": geom_d} in result assert {"a": geom_d, "b": geom_a} in result assert {"a": geom_a, "b": geom_g} in result assert {"a": geom_g, "b": geom_a} in result def test_disjoint(): # B disjoint C # C disjoint B # B disjoint D # D disjoint B # B disjoint G # G disjoint B # D disjoint C # C disjoint D # G disjoint C # C disjoint G result = g.query( """PREFIX geo: <http://www.opengis.net/ont/geosparql#> PREFIX dggs: <https://placeholder.com/dggsfuncs/> SELECT ?a ?b {?a geo:hasGeometry ?a_geom . ?b geo:hasGeometry ?b_geom . FILTER dggs:sfDisjoint(?a_geom, ?b_geom) }""" ) result = [{str(k): v for k, v in i.items()} for i in result.bindings] assert len(result) == 10 assert {"a": geom_b, "b": geom_c} in result assert {"a": geom_c, "b": geom_b} in result assert {"a": geom_b, "b": geom_d} in result assert {"a": geom_d, "b": geom_b} in result assert {"a": geom_b, "b": geom_g} in result assert {"a": geom_g, "b": geom_b} in result assert {"a": geom_d, "b": geom_c} in result assert {"a": geom_c, "b": geom_d} in result assert {"a": geom_g, "b": geom_c} in result assert {"a": geom_c, "b": geom_g} in result
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1b772f885bafbe9ffdc653c9c74cc1b1f92a16f2
39
py
Python
app/exceptions.py
valentinDruzhinin/todo-lists
b517137437d5480d1aaec0451f060e1556bf3d8f
[ "MIT" ]
13
2018-03-21T11:46:40.000Z
2022-02-03T02:27:20.000Z
app/exceptions.py
valentinDruzhinin/todo-lists
b517137437d5480d1aaec0451f060e1556bf3d8f
[ "MIT" ]
10
2019-10-28T11:37:11.000Z
2022-03-01T23:10:24.000Z
app/exceptions.py
valentinDruzhinin/todo-lists
b517137437d5480d1aaec0451f060e1556bf3d8f
[ "MIT" ]
5
2019-07-31T07:10:44.000Z
2021-11-04T16:08:00.000Z
class DBException(Exception): pass
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py
Python
python/tweedledum/bool_function_compiler/__init__.py
drewrisinger/tweedledum
1c331a076fa137295193a10e0ed664603ae80c21
[ "MIT" ]
7
2020-03-13T17:08:01.000Z
2021-11-17T11:43:58.000Z
python/tweedledum/bool_function_compiler/__init__.py
drewrisinger/tweedledum
1c331a076fa137295193a10e0ed664603ae80c21
[ "MIT" ]
2
2021-03-16T12:05:50.000Z
2021-03-16T13:06:47.000Z
python/tweedledum/bool_function_compiler/__init__.py
drewrisinger/tweedledum
1c331a076fa137295193a10e0ed664603ae80c21
[ "MIT" ]
8
2020-02-13T18:05:55.000Z
2021-03-16T11:12:33.000Z
#------------------------------------------------------------------------------- # Part of Tweedledum Project. This file is distributed under the MIT License. # See accompanying file /LICENSE for details. #------------------------------------------------------------------------------- from .bitvec import BitVec from .bool_function import BoolFunction def phase_oracle(f): # TODO pass def binary_oracle(f): # TODO pass
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1bcd533bebd2dce56d7edc9ccc20c9505c9df1a5
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py
Python
delira/training/backends/chainer/__init__.py
gedoensmax/delira
545e2ccbe56ed382d300cf3d00317e9a0e3ab5f6
[ "BSD-2-Clause" ]
1
2019-10-03T21:00:20.000Z
2019-10-03T21:00:20.000Z
delira/training/backends/chainer/__init__.py
gedoensmax/delira
545e2ccbe56ed382d300cf3d00317e9a0e3ab5f6
[ "BSD-2-Clause" ]
null
null
null
delira/training/backends/chainer/__init__.py
gedoensmax/delira
545e2ccbe56ed382d300cf3d00317e9a0e3ab5f6
[ "BSD-2-Clause" ]
null
null
null
from delira import get_backends as _get_backends if "CHAINER" in _get_backends(): from delira.training.backends.chainer.trainer import ChainerNetworkTrainer from delira.training.backends.chainer.experiment import ChainerExperiment from delira.training.backends.chainer.utils import convert_to_numpy \ as convert_chainer_to_numpy from delira.training.backends.chainer.utils import create_optims_default \ as create_chainer_optims_default
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94201c33afa2b1bee6ab3a202cdef1e674cd3fcd
38
py
Python
tests/__init__.py
franaudo/codebots
f45ee9f665cadc4627d397ae74eefca226269656
[ "MIT" ]
5
2021-05-06T21:51:30.000Z
2022-01-10T17:53:00.000Z
tests/__init__.py
franaudo/codebots
f45ee9f665cadc4627d397ae74eefca226269656
[ "MIT" ]
10
2021-04-03T12:00:27.000Z
2021-11-04T16:27:48.000Z
tests/__init__.py
franaudo/codebots
f45ee9f665cadc4627d397ae74eefca226269656
[ "MIT" ]
null
null
null
"""Unit test package for codebots."""
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py
Python
authors/apps/authentication/__init__.py
malep2007/ah-django
c5b4b18c95b491816087090c80cdcaed60963111
[ "BSD-3-Clause" ]
null
null
null
authors/apps/authentication/__init__.py
malep2007/ah-django
c5b4b18c95b491816087090c80cdcaed60963111
[ "BSD-3-Clause" ]
1
2018-07-19T20:47:05.000Z
2018-07-19T20:47:05.000Z
authors/apps/authentication/__init__.py
malep2007/ah-django
c5b4b18c95b491816087090c80cdcaed60963111
[ "BSD-3-Clause" ]
null
null
null
from authors.apps.authentication.apps import AuthenticationConfig
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py
Python
trie/__init__.py
zidder/Trie
f98c2455ff36505b5613a4c30cd89dda58495d19
[ "MIT" ]
null
null
null
trie/__init__.py
zidder/Trie
f98c2455ff36505b5613a4c30cd89dda58495d19
[ "MIT" ]
null
null
null
trie/__init__.py
zidder/Trie
f98c2455ff36505b5613a4c30cd89dda58495d19
[ "MIT" ]
null
null
null
from .trie import Trie
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946eaf013364fd24efb062d3ae442b2bb4a89bfd
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py
Python
jdaviz/configs/specviz2d/plugins/__init__.py
check-spelling/jdaviz
bfd0514d13bdc6fa0b8c8536a603293409270337
[ "MIT", "BSD-3-Clause" ]
55
2019-05-24T18:53:05.000Z
2022-03-14T08:45:52.000Z
jdaviz/configs/specviz2d/plugins/__init__.py
check-spelling/jdaviz
bfd0514d13bdc6fa0b8c8536a603293409270337
[ "MIT", "BSD-3-Clause" ]
1,105
2019-05-09T15:17:35.000Z
2022-03-31T21:22:18.000Z
jdaviz/configs/specviz2d/plugins/__init__.py
rosteen/jdaviz
e02c08d68ef71c5e40600785f46e65e5ae95e236
[ "MIT", "BSD-3-Clause" ]
49
2019-05-07T18:05:42.000Z
2022-03-22T15:15:34.000Z
from .parsers import * # noqa
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948bc9ee691c15aa5f9b353db3e013c82a872fc7
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py
Python
examples/handler/sachima_example_filters.py
gitter-badger/Sachima
76547fb6a21f1fea597994e6ee02c5db080d1e7a
[ "MIT" ]
null
null
null
examples/handler/sachima_example_filters.py
gitter-badger/Sachima
76547fb6a21f1fea597994e6ee02c5db080d1e7a
[ "MIT" ]
null
null
null
examples/handler/sachima_example_filters.py
gitter-badger/Sachima
76547fb6a21f1fea597994e6ee02c5db080d1e7a
[ "MIT" ]
null
null
null
import pandas as pd def run(data_in, params): df1 = data_in[0] return df1
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ca10aa1087366c593bbc1b1ed38374f741e34f4c
103
py
Python
mlflow/store/model_registry/__init__.py
PeterSulcs/mlflow
14c48e7bb1ca6cd6a3c1b249a486cd98bd5e7051
[ "Apache-2.0" ]
10,351
2018-07-31T02:52:49.000Z
2022-03-31T23:33:13.000Z
mlflow/store/model_registry/__init__.py
PeterSulcs/mlflow
14c48e7bb1ca6cd6a3c1b249a486cd98bd5e7051
[ "Apache-2.0" ]
3,733
2018-07-31T01:38:51.000Z
2022-03-31T23:56:25.000Z
mlflow/store/model_registry/__init__.py
PeterSulcs/mlflow
14c48e7bb1ca6cd6a3c1b249a486cd98bd5e7051
[ "Apache-2.0" ]
2,596
2018-07-31T06:38:39.000Z
2022-03-31T23:56:32.000Z
SEARCH_REGISTERED_MODEL_MAX_RESULTS_DEFAULT = 100 SEARCH_REGISTERED_MODEL_MAX_RESULTS_THRESHOLD = 1000
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ca19d53117f3f626521ef6b92c04b8d9a7e66d27
216
py
Python
napari_lazy_openslide/__init__.py
manzt/napari_zarr_io
dc97d4a767d6089d76b451b0428c36139c15a227
[ "BSD-3-Clause" ]
18
2020-07-16T23:08:13.000Z
2021-11-21T10:44:58.000Z
napari_lazy_openslide/__init__.py
manzt/napari_zarr_io
dc97d4a767d6089d76b451b0428c36139c15a227
[ "BSD-3-Clause" ]
5
2020-07-14T19:40:21.000Z
2021-04-26T22:54:55.000Z
napari_lazy_openslide/__init__.py
manzt/napari_zarr_io
dc97d4a767d6089d76b451b0428c36139c15a227
[ "BSD-3-Clause" ]
5
2020-10-24T05:05:36.000Z
2021-07-07T15:35:37.000Z
try: from ._version import version as __version__ except ImportError: __version__ = "unknown" from .lazy_openslide import napari_get_reader from .store import OpenSlideStore __all__ = ["napari_get_reader"]
21.6
48
0.787037
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5.846154
0.615385
0.118421
0.197368
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0.152778
216
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0.830601
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0.571429
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1
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0
5
ca5588d6e19bd6bbc7d06a1e7464fba1a60eff4f
6,015
py
Python
lfa/src/tests/draw_from_co_str.py
mchayapol/thai-lipread
d18be69ff439c4f32af617c2bc7f2e7ec4e3ac80
[ "MIT" ]
null
null
null
lfa/src/tests/draw_from_co_str.py
mchayapol/thai-lipread
d18be69ff439c4f32af617c2bc7f2e7ec4e3ac80
[ "MIT" ]
null
null
null
lfa/src/tests/draw_from_co_str.py
mchayapol/thai-lipread
d18be69ff439c4f32af617c2bc7f2e7ec4e3ac80
[ "MIT" ]
null
null
null
# Copy this string from .CSV # Original # str = "827 549 -110.87603 833 596 -122.47882 847 643 -133.81035 860 676 -138.51346 880 716 -127.4393 907 763 -97.15387 933 790 -56.081615 973 823 -16.222385 1027 836 -3.2471075 1080 816 -28.28373 1113 790 -73.01176 1134 763 -119.5503 1160 723 -154.2458 1180 683 -166.9389 1194 643 -164.0253 1207 596 -155.2223 1220 543 -144.28827 880 516 70.289795 913 503 99.857834 947 496 116.42525 973 503 123.99855 1000 516 123.78034 1100 516 116.75095 1127 509 112.42443 1154 503 99.949265 1180 509 78.673645 1194 523 44.87882 1047 576 103.788506 1047 616 113.784424 1047 656 128.81512 1047 683 125.31224 1007 690 76.7296 1020 696 82.47478 1040 696 83.82086 1060 696 79.01868 1073 690 71.56852 920 563 75.85306 940 556 95.25523 967 556 93.68959 993 569 80.78839 967 576 88.10806 940 569 86.30222 1100 569 75.640785 1120 556 83.7421 1147 556 80.32187 1160 569 56.690674 1140 576 70.72013 1120 576 78.10249 973 736 40.303738 993 736 66.50421 1027 730 81.45837 1040 736 81.71853 1053 730 79.358955 1080 736 59.48197 1100 743 28.185108 1080 763 50.119175 1060 776 61.45346 1040 776 65.76784 1013 776 65.24269 993 763 57.58033 973 736 40.2734 1020 743 67.53007 1040 750 70.223946 1060 750 64.61998 1093 743 29.310999 1060 750 63.25984 1040 756 67.00127 1020 750 66.16734" # PB str = "862.6181247 502.4949012 -31.81727863 872.2574898 549.0366959 -42.79765863 889.8229904 595.1435924 -52.74807577 904.9988044 627.36055 -56.19503843 926.0195607 666.2673314 -43.27114051 952.5595502 711.8818078 -10.55790431 975.9867174 737.636998 32.79838799 1013.773419 768.6133217 76.27701237 1066.930046 778.7162315 94.3231209 1120.890094 755.7254211 74.43422276 1156.509456 727.7319185 33.04314501 1180.317959 699.3849603 -11.29015175 1207.260863 657.8464669 -43.35900651 1226.152981 616.749711 -54.09489432 1237.600935 576.061408 -49.86459335 1247.112803 528.4688067 -39.86652506 1256.093827 474.8963073 -27.74705055 896.3080331 467.5967364 153.5638538 925.5927761 452.9703614 186.1328868 957.4333059 444.2127782 205.8550718 982.9420565 449.8236709 215.8638903 1010.512519 461.3304648 218.2114201 1110.577547 455.8400094 220.7128969 1137.441946 447.3554608 218.9706894 1165.134016 439.8270032 209.1166854 1193.324246 444.289262 190.4070316 1211.212395 457.3288177 158.0948913 1062.413098 518.5729884 202.774551 1063.656463 558.564933 212.7252692 1064.422288 598.5830797 227.6880033 1066.233764 625.5242984 224.2009589 1031.46592 634.4425 172.0383689 1044.171499 639.7543842 178.9924486 1063.923486 638.6706149 182.2322623 1084.258625 637.5548487 179.3516079 1097.55832 630.8160845 173.1700196 938.1146534 512.37355 162.9015923 955.7705488 504.3942617 184.1158504 982.7565891 502.9135681 185.1220381 1010.536027 514.4088957 174.7489367 984.3817159 522.8544825 179.5657492 957.3319491 517.3281436 175.203324 1117.380452 508.5464624 179.7886224 1135.779494 494.5173735 189.7531237 1162.941439 493.0270282 188.9131063 1178.816817 505.1755182 166.6236482 1157.989994 513.3287917 178.6898504 1137.41013 514.4579857 184.1390149 1003.645599 682.0381614 132.5475328 1021.040194 681.0837395 160.5293479 1053.088525 673.3162587 178.6455694 1066.314347 678.5995977 180.1394357 1079.131209 671.8873259 179.0254123 1108.182765 676.3023248 161.8030608 1131.41438 682.0381614 132.5475328 1110.550043 703.2130473 152.4826012 1090.307571 717.3432832 161.8658191 1070.018699 718.4565107 164.2608711 1043.230967 719.9263234 161.1733478 1023.365842 707.9967463 151.6458188 1003.648477 682.0380035 132.5173317 1048.163941 686.6060192 164.1153166 1068.171598 692.5187508 168.6968293 1088.582784 691.398812 165.0180197 1124.34971 682.4257918 133.0033969 1088.711791 691.3917335 163.6640283 1068.805982 698.4929678 165.4887227 1048.676698 693.588414 162.7587543" str = "824.7387559 64.87348764 543 831.6401253 78.93695737 593 845.4574026 91.44958867 637 857.8116937 96.67278944 674 870.1722004 86.15007848 712 893.2365261 54.75229882 756 921.539674 11.12877852 787 950.8573589 -32.29646143 812 1005.696651 -52.41925416 831 1056.860035 -35.60255807 812 1091.420799 3.878965261 787 1125.042095 44.34923094 756 1151.879323 72.61088011 718 1171.380817 79.94062421 674 1182.948064 72.71860922 637 1195.10953 59.04854497 593 1207.139989 43.30691261 543 851.1002662 -120.3617702 530 867.0426029 -153.4673918 518 897.8111905 -173.9500759 511 922.185728 -184.6299891 518 947.0481738 -187.5948002 530 1046.771359 -195.1308406 524 1071.831663 -194.9669988 518 1097.372308 -187.2077043 511 1130.477939 -170.7356483 511 1157.495546 -139.6217335 524 998.1727408 -171.3919016 587 997.6881353 -179.054778 624 996.8771361 -191.8787918 662 997.1966084 -186.8271007 687 969.4950229 -133.6913101 693 981.0701484 -140.7887494 700 999.886442 -144.2938136 706 1019.070594 -141.9820755 700 1031.475391 -135.9602534 693 887.7134091 -127.6477751 568 905.3580062 -149.6804173 561 930.2596207 -152.0258678 561 949.9637127 -141.4925245 574 930.6723493 -145.499553 580 905.9805799 -139.8359021 580 1056.605889 -150.5306573 574 1073.860183 -162.8908109 568 1098.868342 -163.5515091 568 1119.223099 -142.7294619 574 1099.552524 -152.7328048 580 1074.305518 -155.8489016 580 940.0507417 -92.26788853 743 957.3067675 -120.4448572 737 988.2282807 -138.509387 737 1000.178054 -139.6826716 737 1019.235079 -139.3811464 737 1045.435584 -121.1877476 737 1066.302451 -92.26788853 743 1045.900937 -113.8293015 762 1020.278109 -122.8881202 769 1001.1038 -125.0442016 775 982.2287503 -122.4682316 769 963.7912494 -112.973466 756 946.9688972 -93.78318395 743 982.1688393 -123.4155807 750 1000.950544 -127.4675793 750 1020.234263 -123.5814335 750 1060.25054 -92.89920534 737 1020.141739 -125.0444875 750 1000.975121 -127.0789552 750 982.0951198 -124.5812779 750" import matplotlib.pyplot as plt data = [float(x) for x in str.split("\t")] # print(data) landmarks = [] X = [] Y = [] for i in range(1,69): x,y,z = data.pop(0),data.pop(0),data.pop(0) X.append(x) Y.append(y) landmarks.append((x,y)) # print(landmarks) plt.scatter(X,Y,color='black') plt.show()
200.5
2,445
0.791022
1,087
6,015
4.377185
0.73965
0.002102
0.005044
0.008407
0.005044
0.005044
0
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0.850685
0.113716
6,015
30
2,446
200.5
0.041831
0.219784
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0.142857
0.936633
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false
0
0.071429
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0.071429
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null
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null
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0
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0
0
0
0
0
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5
ca6a73ac066eb5d46f50e5f961c257bb4a65c90b
92
py
Python
app/web/admin.py
Pouya0079/django-scopes
192532044f28f3bb250fc9bf6d9446cb534310d6
[ "MIT" ]
null
null
null
app/web/admin.py
Pouya0079/django-scopes
192532044f28f3bb250fc9bf6d9446cb534310d6
[ "MIT" ]
null
null
null
app/web/admin.py
Pouya0079/django-scopes
192532044f28f3bb250fc9bf6d9446cb534310d6
[ "MIT" ]
null
null
null
from django.contrib import admin from .models.post import Post admin.site.register(Post)
13.142857
32
0.793478
14
92
5.214286
0.642857
0
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0
0
0.130435
92
6
33
15.333333
0.9125
0
0
0
0
0
0
0
0
0
0
0
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1
0
true
0
0.666667
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0.666667
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null
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0
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null
0
0
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0
0
0
1
0
1
0
1
0
0
5
ca92440d0a935a1f36524bbbd73dc074089c6614
52
py
Python
QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/drawing/__init__.py
cogrpar/qcpuWARE
9b8233e830f8cfacbef787781b2279e42f26fec5
[ "Apache-2.0" ]
1
2022-02-01T14:40:05.000Z
2022-02-01T14:40:05.000Z
QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/drawing/__init__.py
cogrpar/qcpuWARE
9b8233e830f8cfacbef787781b2279e42f26fec5
[ "Apache-2.0" ]
null
null
null
QCPU_Setup/DWave-library/dist-packages/dwave_networkx2/drawing/__init__.py
cogrpar/qcpuWARE
9b8233e830f8cfacbef787781b2279e42f26fec5
[ "Apache-2.0" ]
1
2022-02-01T14:40:31.000Z
2022-02-01T14:40:31.000Z
from dwave_networkx.drawing.chimera_layout import *
26
51
0.865385
7
52
6.142857
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1
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0
5
0479dd26a7544125cb312e3a7a8e2c455e8ffa6c
20,273
py
Python
backend/worker/pe_scripts/sixgill/api.py
v0rts/crossfeed
cfac3f9597ada37df1c2ae46c34cf27efd5cb706
[ "CC0-1.0" ]
null
null
null
backend/worker/pe_scripts/sixgill/api.py
v0rts/crossfeed
cfac3f9597ada37df1c2ae46c34cf27efd5cb706
[ "CC0-1.0" ]
12
2021-11-30T11:25:26.000Z
2022-03-30T11:28:39.000Z
backend/worker/pe_scripts/sixgill/api.py
v0rts/crossfeed
cfac3f9597ada37df1c2ae46c34cf27efd5cb706
[ "CC0-1.0" ]
null
null
null
from config import token # from pprint import pprint import requests import pandas as pd """ Multi-Tenancy API: The Multi-Tenancy API provides endpoints for use with the multi-tenant (MSSP) platform. """ def get_organization(): """Get list of organizations.""" url = "https://api.cybersixgill.com/multi-tenant/organization" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } resp = requests.get(url, headers=headers).json() return resp def post_organization( name="name", org_com_category="category", countries="list_countries", industries="list_industries", ): """Adds a new organization to SixGill.""" url = "https://api.cybersixgill.com/multi-tenant/organization" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "name": name, "organization_commercial_category": org_com_category, "countries": [countries], "industries": [industries], } resp = requests.post(url, headers=headers, json=payload).json() print(resp) return resp def delete(org_id): """Get list of organizations.""" url = "https://api.cybersixgill.com/multi-tenant/organization/" + org_id auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"organization_id": org_id} resp = requests.delete(url, headers=headers, params=payload).json() return resp def org_assets(org_id): """Get list of organizations.""" url = "https://api.cybersixgill.com/multi-tenant/organization/" + org_id + "/assets" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"organization_id": org_id} resp = requests.get(url, headers=headers, params=payload).json() return resp def org_put_assets(org_id, data): """Get list of organizations assets.""" url = "https://api.cybersixgill.com/multi-tenant/organization/" + org_id + "/assets" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } resp = requests.put(url, headers=headers, data=data).json() return resp def org_post_assets(org_id, data): """Get list of organizations posts.""" url = "https://api.cybersixgill.com/multi-tenant/organization/" + org_id + "/assets" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } resp = requests.post(url, headers=headers, json=data).json() return resp """ Intel Items API The Intel Items API provides endpoints for obtaining detailed information on intel items, aggregations of intel items, and histograms based on a date range from the CyberSixGill system. """ def intel_agg( query, date_range="YYYY-MM-DD TO YYYY-MM-DD", filters="{'site': ['sixgill','twitter'],'actor': ['John Doe']}", field="tags", size="10", recent="False", ): """Get aggregation of intel items via simple query.""" url = "https://api.cybersixgill.com/intel/aggs" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "query": query, "date_range": date_range, "filters": filters, "field": field, "results_size": size, "recent_items": recent, } resp = requests.post(url, headers=headers, data=payload).json() return resp def intel_get( query, results_size=50, highlight=False, recent_items=False, ): """Get a list of intel items based on a search query.""" url = "https://api.cybersixgill.com/intel/intel_items" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "query": query, "results_size": results_size, "highlight": highlight, "recent_items": recent_items, } resp = requests.get(url, headers=headers, params=payload).json() return resp def intel_post(query, frm, scroll, result_size): """Get intel items - advanced variation.""" url = "https://api.cybersixgill.com/intel/intel_items" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "query": query, "partial_content": False, "results_size": result_size, "scroll": scroll, "from": frm, "sort": "date", "sort_type": "desc", "highlight": False, "recent_items": False, "safe_content_size": True, } resp = requests.post(url, headers=headers, json=payload).json() return resp def intel_next(scroll_id, recent_items=False): """Get the next batch of intel items.""" url = "https://api.cybersixgill.com/intel/intel_items/next" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "scroll_id": scroll_id, "recent_items": recent_items, } resp = requests.post(url, headers=headers, data=payload).json() return resp def items_thread( id, thread_site, results_size=300, skip=0, highlight_query="term", custom_highlight_start_tag="@sixgill-start-highlight@", custom_highlight_end_tag="@sixgill-end-highlight@", scroll=False, split_to_parts=False, recent_items=False, ): """Get a thread page content.""" url = "https://api.cybersixgill.com/intel/intel_items/" + id + "/thread" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "thread_site": thread_site, "results_size": results_size, "skip": skip, "highlight_query": highlight_query, "custom_highlight_start_tag": custom_highlight_start_tag, "custom_highlight_end_tag": custom_highlight_end_tag, "scroll": scroll, "split_to_parts": split_to_parts, "recent_items": recent_items, } resp = requests.get(url, headers=headers, params=payload).json() return resp def intel_thread_next( scroll_id, split_to_parts=False, custom_highlight_start_tag="@sixgill-start-highlight@", custom_highlight_end_tag="@sixgill-end-highlight@", recent_items=False, ): """Get a thread page content.""" url = "https://api.cybersixgill.com/intel/intel_items/thread/next" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload_data = {"scroll_id": scroll_id} payload_params = { "split_to_parts": split_to_parts, "custom_highlight_start_tag": custom_highlight_start_tag, "custom_highlight_end_tag": custom_highlight_end_tag, "recent_items": recent_items, } resp = requests.post( url, headers=headers, data=payload_data, params=payload_params ).json() return resp def intel_get_item(id): """Get an intel item.""" url = "https://api.cybersixgill.com/intel/intel_items/" + id auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"id": id} resp = requests.get(url, headers=headers, params=payload).json() return resp def intel_histogram( query, date_range="YYYY-MM-DD TO YYYY-MM-DD", filters="{'site': ['sixgill','twitter'],'actor': ['John Doe']}", interval="month", recent_items=False, ): """Get date histogram of intel items.""" url = "https://api.cybersixgill.com/intel/histogram" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "query": query, "date_range": date_range, "filters": filters, "interval": interval, "recent_items": recent_items, } resp = requests.post(url, headers=headers, json=payload).json() return resp """ Alerts API The Alerts API provides endpoints for obtaining detailed information on actionable alerts. To inject Multi-Tenant usage to retrieve a specific organization, 'organization_id' is then required. """ def alerts_list(organization_id, fetch_size, offset): """Get actionable alerts by ID using organization_id with optional filters.""" url = "https://api.cybersixgill.com/alerts/actionable-alert" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = { "organization_id": organization_id, "fetch_size": fetch_size, "offset": offset, } resp = requests.get(url, headers=headers, params=payload) return resp def alerts_delete( organization_id="organization_id", is_read="unread", threat_level="imminent", threat_type="type", ): """Deletes a list of actionable alerts by ID with optional filters.""" url = "https://api.cybersixgill.com/alerts/actionable-alert" auth = token() headers = ( { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, }, ) payload = { "organization_id": organization_id, "is_read": is_read, "threat_level": threat_level, "threat_type": threat_type, } resp = requests.delete(url, headers=headers, params=payload).json() return resp def alerts_patch( organization_id="organization_id", is_read="unread", threat_level="imminent", threat_type="type", ): """Updates a list of actionable alerts by ID with optional filters.""" url = "https://api.cybersixgill.com/alerts/actionable-alert" auth = token() headers = ( { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, }, ) payload = { "organization_id": organization_id, "is_read": is_read, "threat_level": threat_level, "threat_type": threat_type, } resp = requests.patch(url, headers=headers, params=payload).json() return resp def alert_id(actionable_alert_id, organization_id="organization_id"): """Gets an actionable alert by ID.""" url = "https://api.cybersixgill.com/alerts/actionable-alert/" + actionable_alert_id auth = token() headers = ( { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, }, ) payload = { "actionable_alert_id": actionable_alert_id, "organization_id": organization_id, } resp = requests.get(url, headers=headers, params=payload).json() return resp def alert_delete_id(actionable_alert_id, organization_id="organization_id"): """Deletes an actionable alert by ID.""" url = "https://api.cybersixgill.com/alerts/actionable-alert/" + actionable_alert_id auth = token() headers = ( { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, }, ) payload = { "actionable_alert_id": actionable_alert_id, "organization_id": organization_id, } resp = requests.delete(url, headers=headers, params=payload).json() return resp def alert_patch_id(actionable_alert_id, organization_id="organization_id"): """Updates an actionable alert by ID.""" url = "https://api.cybersixgill.com/alerts/actionable-alert/" + actionable_alert_id auth = token() headers = ( { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, }, ) payload = { "actionable_alert_id": actionable_alert_id, "organization_id": organization_id, } resp = requests.patch(url, headers=headers, params=payload).json() return resp def alert_stats(organization_id="organization_id", threat_level="imminent"): """Gets actionable alerts statistics per user.""" url = "https://api.cybersixgill.com/alerts/actionable-alert/stats" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"organization_id": organization_id, "threat_level": threat_level} resp = requests.patch(url, headers=headers, params=payload).json() return resp def alerts_count(organization_id): """Gets the total read and unread actionable alerts by organization.""" url = "https://api.cybersixgill.com/alerts/actionable_alert/count" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"organization_id": organization_id} resp = requests.get(url, headers=headers, params=payload).json() return resp def get_content_id( actionable_alert_id, organization_id="organization_id", limit=100, highlight=False, ): """Gets actionable alert content by alert ID.""" url = ( "https://api.cybersixgill.com/alerts/actionable-alert/actionable_alert_content/" + actionable_alert_id ) auth = token() headers = ( { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, }, ) payload = { "actionable_alert_id": actionable_alert_id, "organization_id": organization_id, "limit": limit, "highlight": highlight, } resp = requests.get(url, headers=headers, params=payload).json() return resp """ DVE Feed The Alerts API provides endpoints for obtaining detailed information on actionable alerts. To inject Multi-Tenant usage to retrieve a specific organization, 'organization_id' is then required. """ def dve_consume(integer=100): """Get an intel item.""" url = "https://api.cybersixgill.com/dvefeed/ioc" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"integer": integer, "X-Channel-Id": "d5cd46c205c20c87006b55a18b106428"} resp = requests.get(url, headers=headers, params=payload).json() return resp def dve_acknowledge(token): """Get an intel item.""" url = "https://api.cybersixgill.com/dvefeed/ioc/ack" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"X-Channel-Id": "d5cd46c205c20c87006b55a18b106428"} resp = requests.get(url, headers=headers, params=payload).json() return resp """ DVE Enrichment The Alerts API provides endpoints for obtaining detailed information on actionable alerts. To inject Multi-Tenant usage to retrieve a specific organization, 'organization_id' is then required. Sample filter for /dve_enrich/enrich: filters = { "query": "2020-0", "ids": ["CVE-2020-0674"],"attributes": ["Has_POC_exploit_attribute"],"sixgill_rating_range": {"from": 1,"to": 8}, "nvd_rating_range": {"from": 1,"to": 8}, "nvd_3_rating_range": {"from": 1,"to": 8}, "nvd_modified_dates_range": {"from": {},"to": {}}, "nvd_published_dates_range": {"from": {},"to": {}}, "total_mention_counts_range": {"from": 1,"to": 8}, "last_month_mention_counts_range": {"from": 1,"to": 8}, "first_mention_dates_range": {"from": {},"to": {}}, "last_mention_dates_range": {"from": {},"to": {}}}, "results_size": 10,"from_index": 0}', """ def dve_enrich(filters): """Enrich CVEs with Sixgill intelligence.""" url = "https://api.cybersixgill.com/dve_enrich/enrich" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"filters": filters} resp = requests.post(url, headers=headers, params=payload).json() return resp def dve_get_id(id): """Get data about a specific CVE""" url = "https://api.cybersixgill.com/dve_enrich/" + id auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"id": id} resp = requests.get(url, headers=headers, params=payload).json() return resp def dve_summary(startDate, endDate): """Get basic Sixgill Dynamic Rating data about a specific CVE.""" url = "https://api.cybersixgill.com/dve_enrich/summary" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"startDate": startDate, "endDate": endDate} resp = requests.get(url, headers=headers, params=payload).json() return resp def dve_changes(startDate, endDate): """Get data about a specific CVE""" url = "https://api.cybersixgill.com/dve_enrich/changes" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"startDate": startDate, "endDate": endDate} resp = requests.get(url, headers=headers, params=payload).json() return resp def dve_keyword_search(keyword, startDate, endDate): """Get data about a specific CVE""" url = "https://api.cybersixgill.com/dve_enrich/keyword_search" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"keyword": keyword, "startDate": startDate, "endDate": endDate} resp = requests.get(url, headers=headers, params=payload).json() return resp def dve_top_cves(size): """Get data about a specific CVE""" url = "https://api.cybersixgill.com/dve_enrich/top_cves" auth = token() headers = { "Content-Type": "application/x-www-form-urlencoded", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } payload = {"size": size} resp = requests.get(url, headers=headers, params=payload).json() return resp """ Credentials API Get leaked credentials based on a date range from the Sixgill system. """ def credential_auth(params): """Get data about a specific CVE""" url = "https://api.cybersixgill.com/credentials/leaks" auth = token() headers = { "Content-Type": "application/json", "Cache-Control": "no-cache", "Authorization": "Bearer " + auth, } resp = requests.get(url, headers=headers, params=params) resp = resp.json() return resp """Use for testing purposes only. """ # pprint(get_organization()) # pprint(org_assets("611544c7bd7c8ce0b667726c"))
30.168155
117
0.626005
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5.422067
0.097636
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04cd00adab986e804e2966ff3f8308eb56077c5a
8,965
py
Python
oxe-api/test/resource/company/test_extract_companies.py
CybersecurityLuxembourg/openxeco
8d4e5578bde6a07f5d6d569b16b4de224abf7bf0
[ "BSD-2-Clause" ]
null
null
null
oxe-api/test/resource/company/test_extract_companies.py
CybersecurityLuxembourg/openxeco
8d4e5578bde6a07f5d6d569b16b4de224abf7bf0
[ "BSD-2-Clause" ]
null
null
null
oxe-api/test/resource/company/test_extract_companies.py
CybersecurityLuxembourg/openxeco
8d4e5578bde6a07f5d6d569b16b4de224abf7bf0
[ "BSD-2-Clause" ]
null
null
null
from test.BaseCase import BaseCase class TestExtractCompanies(BaseCase): @BaseCase.login def test_ok_basic(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) response = self.application.get('/company/extract_companies?format=json', headers=self.get_standard_header(token)) self.assertEqual(2, len(response.json)) self.assertEqual(200, response.status_code) self.assertTrue("Address|country" not in response.json[1]) self.assertTrue("Workforce|workforce" not in response.json[1]) self.assertTrue("Taxonomy|ROLE" not in response.json[1]) @BaseCase.login def test_ok_with_filter(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) response = self.application.get('/company/extract_companies?format=json&name=Company 2&include_address=true', headers=self.get_standard_header(token)) self.assertEqual(1, len(response.json)) self.assertEqual(200, response.status_code) self.assertTrue("Address|country" not in response.json[0]) self.assertTrue("Workforce|workforce" not in response.json[0]) self.assertTrue("Taxonomy|ROLE" not in response.json[0]) @BaseCase.login def test_ok_with_users(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) self.db.insert({"id": 2, "email": "myemail@test.lu", "password": "MyWrongSecretSecret"}, self.db.tables["User"]) self.db.insert({"id": 3, "email": "myemai2@test.lu", "password": "MyWrongSecretSecret"}, self.db.tables["User"]) self.db.insert({"user_id": 2, "company_id": 2}, self.db.tables["UserCompanyAssignment"]) self.db.insert({"user_id": 3, "company_id": 2}, self.db.tables["UserCompanyAssignment"]) response = self.application.get('/company/extract_companies?format=json&include_user=true', headers=self.get_standard_header(token)) self.assertEqual(3, len(response.json)) self.assertEqual(200, response.status_code) self.assertEqual(response.json[0]["Global|name"], "My Company") self.assertEqual(response.json[0]["User|email"], "myemail@test.lu") self.assertEqual(response.json[1]["Global|name"], "My Company") self.assertEqual(response.json[1]["User|email"], "myemai2@test.lu") self.assertEqual(response.json[2]["Global|name"], "My Company 2") self.assertEqual(response.json[2]["User|email"], None) @BaseCase.login def test_ok_with_address(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) self.db.insert({ "id": 1, "company_id": 2, "address_1": "Rue inconnue", "address_2": None, "number": None, "postal_code": "1515", "city": "Luxembourg", "administrative_area": None, "country": "Luxembourg", "latitude": None, "longitude": None, }, self.db.tables["Company_Address"]) response = self.application.get('/company/extract_companies?format=json&include_address=true', headers=self.get_standard_header(token)) self.assertEqual(2, len(response.json)) self.assertEqual(200, response.status_code) self.assertEqual(response.json[0]["Address|country"], "Luxembourg") self.assertEqual(response.json[1]["Address|country"], None) self.assertTrue("Workforce|workforce" not in response.json[1]) self.assertTrue("Taxonomy|ROLE" not in response.json[1]) @BaseCase.login def test_ok_with_workforce(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) self.db.insert({"name": "Newspaper"}, self.db.tables["Source"]) self.db.insert({ "id": 1, "company": 2, "workforce": 15, "date": "2020-01-01", "is_estimated": True, "source": "Newspaper", }, self.db.tables["Workforce"]) self.db.insert({ "id": 2, "company": 2, "workforce": 20, "date": "2020-01-05", "is_estimated": True, "source": "Newspaper", }, self.db.tables["Workforce"]) self.db.insert({ "id": 3, "company": 2, "workforce": 25, "date": "2018-01-05", "is_estimated": True, "source": "Newspaper", }, self.db.tables["Workforce"]) response = self.application.get('/company/extract_companies?format=json&include_workforce=true', headers=self.get_standard_header(token)) self.assertEqual(200, response.status_code) self.assertEqual(2, len(response.json)) self.assertEqual(response.json[0]["Workforce|workforce"], 20) self.assertEqual(response.json[1]["Workforce|workforce"], None) self.assertTrue("Address|country" not in response.json[1]) self.assertTrue("Taxonomy|ROLE" not in response.json[1]) @BaseCase.login def test_ok_with_taxonomy(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) self.db.insert({"name": "CAT1"}, self.db.tables["TaxonomyCategory"]) self.db.insert({"id": 1, "name": "My Value", "category": "CAT1"}, self.db.tables["TaxonomyValue"]) self.db.insert({"company": 2, "taxonomy_value": 1}, self.db.tables["TaxonomyAssignment"]) response = self.application.get('/company/extract_companies?format=json&include_taxonomy=true', headers=self.get_standard_header(token)) self.assertEqual(2, len(response.json)) self.assertEqual(200, response.status_code) self.assertTrue("Address|country" not in response.json[1]) self.assertTrue("Workforce|workforce" not in response.json[1]) @BaseCase.login def test_ok_with_taxonomy_and_hierarchy(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) self.db.insert({"name": "CAT1"}, self.db.tables["TaxonomyCategory"]) self.db.insert({"name": "CAT2"}, self.db.tables["TaxonomyCategory"]) self.db.insert({"parent_category": "CAT1", "child_category": "CAT2"}, self.db.tables["TaxonomyCategoryHierarchy"]) self.db.insert({"id": 1, "name": "My Value", "category": "CAT1"}, self.db.tables["TaxonomyValue"]) self.db.insert({"id": 2, "name": "My Value 2", "category": "CAT1"}, self.db.tables["TaxonomyValue"]) self.db.insert({"id": 3, "name": "My Value 3", "category": "CAT2"}, self.db.tables["TaxonomyValue"]) self.db.insert({"parent_value": 1, "child_value": 3}, self.db.tables["TaxonomyValueHierarchy"]) self.db.insert({"company": 2, "taxonomy_value": 3}, self.db.tables["TaxonomyAssignment"]) response = self.application.get('/company/extract_companies?format=json&include_taxonomy=true', headers=self.get_standard_header(token)) self.assertEqual(2, len(response.json)) self.assertEqual(200, response.status_code) self.assertTrue("Address|country" not in response.json[0]) self.assertTrue("Workforce|workforce" not in response.json[0]) self.assertTrue("Taxonomy|CAT1" in response.json[0]) self.assertTrue("Taxonomy|CAT2" in response.json[0]) self.assertEqual(response.json[0]["Taxonomy|CAT1"], "My Value") self.assertEqual(response.json[0]["Taxonomy|CAT2"], "My Value 3") @BaseCase.login def test_ok_xlsx(self, token): self.db.insert({"id": 2, "name": "My Company"}, self.db.tables["Company"]) self.db.insert({"id": 3, "name": "My Company 2"}, self.db.tables["Company"]) response = self.application.get('/company/extract_companies', headers=self.get_standard_header(token)) self.assertEqual(200, response.status_code) self.assertEqual("application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", response.mimetype)
50.083799
120
0.609927
1,070
8,965
5.034579
0.097196
0.080193
0.080193
0.06757
0.855021
0.806757
0.765918
0.716169
0.689438
0.679042
0
0.023629
0.221082
8,965
178
121
50.365169
0.747816
0
0
0.554054
0
0
0.261573
0.065477
0
0
0
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0.297297
1
0.054054
false
0.013514
0.006757
0
0.067568
0
0
0
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null
0
0
0
1
1
1
1
0
1
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0
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0
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0
0
0
0
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null
0
0
0
0
0
0
0
0
0
0
0
0
0
5
04e09d77907516d61e5ef2b2697d5d2b47bd4178
119
py
Python
tests/functions/append.py
treeform/pystorm
3a2224bcdaccc5a2abf6a820c0bcf7afa3e6fed4
[ "MIT" ]
50
2015-03-24T19:45:34.000Z
2022-02-20T04:34:26.000Z
tests/functions/append.py
MoonStarCZW/py2js
6cda2b1d3cf281a5ca92c18b08ac9fa1c389cbea
[ "MIT" ]
2
2017-02-26T09:43:07.000Z
2017-03-06T20:04:24.000Z
tests/functions/append.py
Slater-Victoroff/pyjaco
89c4e3c46399c5023b0e160005d855a01241c58a
[ "MIT" ]
12
2016-03-07T09:30:49.000Z
2021-09-05T20:38:47.000Z
mylist = [] mylist.append('a') mylist.append('b') mylist.append('c') print mylist[0] print mylist[1] print mylist[2]
11.9
18
0.680672
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119
4.263158
0.473684
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9
19
13.222222
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0
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0
0
1
0
5
b6f6f36ae3196d3d9e5962ec470c0af5fc3de679
171
py
Python
mods/api/test/__init__.py
lbahtarliev/MalwareScan
495e2fd3ceb3498c651ddd360a4cc2eb9571a10b
[ "Unlicense" ]
3
2018-12-06T03:09:16.000Z
2021-02-25T01:13:05.000Z
mods/api/test/__init__.py
lbahtarliev/MalwareScan
495e2fd3ceb3498c651ddd360a4cc2eb9571a10b
[ "Unlicense" ]
9
2018-12-10T18:44:14.000Z
2019-02-06T21:13:31.000Z
mods/api/test/__init__.py
lbahtarliev/MalwareScan
495e2fd3ceb3498c651ddd360a4cc2eb9571a10b
[ "Unlicense" ]
4
2019-06-04T13:46:24.000Z
2021-02-25T02:23:50.000Z
from flask_testing import TestCase from malwarescan.app import create_app as make_app class BaseTestCase(TestCase): def create_app(self): return make_app()
19
50
0.766082
24
171
5.25
0.625
0.142857
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171
8
51
21.375
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0
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0
0
0
0
0
1
1
1
0
0
5
8e16304b770bfa2f3185583c69dd1475949a8cab
234
py
Python
angr/procedures/linux_kernel/tgkill.py
r4b3rt/angr
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
[ "BSD-2-Clause" ]
null
null
null
angr/procedures/linux_kernel/tgkill.py
r4b3rt/angr
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
[ "BSD-2-Clause" ]
null
null
null
angr/procedures/linux_kernel/tgkill.py
r4b3rt/angr
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
[ "BSD-2-Clause" ]
null
null
null
import angr class tgkill(angr.SimProcedure): def run(self, tgid, tid, sig): #pylint:disable=arguments-differ,unused-argument # TODO: actually do something return self.state.solver.BVV(0, self.arch.sizeof['int'])
29.25
83
0.700855
32
234
5.125
0.90625
0
0
0
0
0
0
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0
0
0
0.005155
0.17094
234
7
84
33.428571
0.840206
0.320513
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0
0.019108
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0
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0
0.142857
0
1
0.25
false
0
0.25
0.25
1
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0
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0
null
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0
0
0
0
null
0
0
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0
0
1
0
0
0
1
1
0
0
5
8e17888f87a6afa22b6c75f385763e55d25f639c
694
py
Python
sdk/python/pulumi_aws_native/wafv2/__init__.py
pulumi/pulumi-aws-native
1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3
[ "Apache-2.0" ]
29
2021-09-30T19:32:07.000Z
2022-03-22T21:06:08.000Z
sdk/python/pulumi_aws_native/wafv2/__init__.py
pulumi/pulumi-aws-native
1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3
[ "Apache-2.0" ]
232
2021-09-30T19:26:26.000Z
2022-03-31T23:22:06.000Z
sdk/python/pulumi_aws_native/wafv2/__init__.py
pulumi/pulumi-aws-native
1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3
[ "Apache-2.0" ]
4
2021-11-10T19:42:01.000Z
2022-02-05T10:15:49.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from .. import _utilities import typing # Export this package's modules as members: from ._enums import * from .get_ip_set import * from .get_logging_configuration import * from .get_regex_pattern_set import * from .get_rule_group import * from .get_web_acl import * from .get_web_aclassociation import * from .ip_set import * from .logging_configuration import * from .regex_pattern_set import * from .rule_group import * from .web_acl import * from .web_aclassociation import * from ._inputs import * from . import outputs
30.173913
80
0.768012
105
694
4.857143
0.47619
0.27451
0.152941
0.058824
0.098039
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0
0.001701
0.152738
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22
81
31.545455
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1
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1
0
0
5
6d0afb97b4a9e2dfb2c26054c1325adc58b714ee
56
py
Python
src/architectures/transformer/__init__.py
isaachenrion/jets
59aeba81788d0741af448192d9dfb764fb97cf8d
[ "BSD-3-Clause" ]
9
2017-10-09T17:01:52.000Z
2018-06-12T18:06:05.000Z
src/architectures/transformer/__init__.py
isaachenrion/jets
59aeba81788d0741af448192d9dfb764fb97cf8d
[ "BSD-3-Clause" ]
31
2017-11-01T14:39:02.000Z
2018-04-18T15:34:24.000Z
src/architectures/transformer/__init__.py
isaachenrion/jets
59aeba81788d0741af448192d9dfb764fb97cf8d
[ "BSD-3-Clause" ]
10
2017-10-17T19:23:14.000Z
2020-07-05T04:44:45.000Z
from .transformer_transform import TransformerTransform
28
55
0.910714
5
56
10
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1
56
56
0.961538
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true
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0
0
1
0
1
0
1
0
0
5
6d2ca7d7cb45e0d18970aadfcace7b5116652c74
132
py
Python
TEMpcPlot/TEM/__init__.py
Prestipino/TEMpcPlot
6473751623d90ea7574910a187c98c6bd84dab3a
[ "MIT" ]
null
null
null
TEMpcPlot/TEM/__init__.py
Prestipino/TEMpcPlot
6473751623d90ea7574910a187c98c6bd84dab3a
[ "MIT" ]
null
null
null
TEMpcPlot/TEM/__init__.py
Prestipino/TEMpcPlot
6473751623d90ea7574910a187c98c6bd84dab3a
[ "MIT" ]
null
null
null
""" Expose top-level symbols that are safe for import * """ from .TEMpcPlot import(SeqIm, EwaldPeaks, PeakL) # Re-export typeof
13.2
51
0.712121
18
132
5.222222
0.944444
0
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0
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0
0
0
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0
0.174242
132
9
52
14.666667
0.862385
0.522727
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true
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0
1
0
1
0
1
0
0
5
6d5aac8f9d8cdd4219b99dea147063defbbced9f
2,377
py
Python
SubNet/Discriminators.py
JohnJackal/Multi-scale-Dual-synthesis-Module-Generative-Adversarial-Frame-Interpolation-Network
b2a0a6a8967b1942265b2bf6d46c8b443dd1a2a5
[ "MIT" ]
null
null
null
SubNet/Discriminators.py
JohnJackal/Multi-scale-Dual-synthesis-Module-Generative-Adversarial-Frame-Interpolation-Network
b2a0a6a8967b1942265b2bf6d46c8b443dd1a2a5
[ "MIT" ]
null
null
null
SubNet/Discriminators.py
JohnJackal/Multi-scale-Dual-synthesis-Module-Generative-Adversarial-Frame-Interpolation-Network
b2a0a6a8967b1942265b2bf6d46c8b443dd1a2a5
[ "MIT" ]
null
null
null
import torch import torch.nn as nn import torch.nn.functional as F from collections import OrderedDict # define the frame discriminator class FDiscriminator(nn.Module): def __init__(self, num_layers): # superior of num_layers is 5. super(FDiscriminator,self).__init__() mods = OrderedDict() in_channels = [3,64,64,64,64] out_channels = [64,64,64,64,1] # Add conv layers mods['conv1'] = nn.Conv2d(in_channels[0], out_channels[0], 3, 2, bias=False) for i in range(1,num_layers): mods['leakyrelu%d' % (i + 1)] = nn.LeakyReLU(inplace=True) mods['conv%d' % (i + 1)] = nn.Conv2d(in_channels[i],out_channels[i],3,2,bias=False) self.features = nn.Sequential(mods) # initialization # conv layers using kaiming's idea for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight) def forward(self,x): features = self.features(x) score = torch.sum(features) dim = list(features.size()) num = dim[0] for i in range(1, len(dim)): num *= dim[i] score = F.sigmoid(score / num) return score # define the sequence discriminator class SDiscriminator(nn.Module): def __init__(self): super(SDiscriminator,self).__init__() mods = OrderedDict() in_channels = [3,64,64,64] out_channels = [64,64,64,3] # Add Conv layers. mods['conv1'] = nn.Conv2d(in_channels[0], out_channels[0], 3, 2, bias=False) for i in range(1,4): mods['leakyrelu%d' % (i + 1)] = nn.LeakyReLU(inplace=True) mods['conv%d' % (i + 1)] = nn.Conv2d(in_channels[i], out_channels[i], 3, 2, bias=False) self.features = nn.Sequential(mods) # initialization # conv layers using kaiming's idea for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight) def forward(self,x): features = self.features(x) score = torch.sum(features) dim = list(features.size()) num = dim[0] for i in range(1, len(dim)): num *= dim[i] score = F.sigmoid(score / num) return score
34.449275
100
0.560791
312
2,377
4.160256
0.237179
0.030817
0.027735
0.05547
0.79661
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0.767334
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0.31342
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68
101
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null
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0
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0
0
0
0
0
0
0
5
edc68c7a077daa6952af40a01e3458ea7a2c6e53
809
py
Python
src/maya_mock/base/_abstract.py
renaudll/maya-mock
be5754affe03b06b7960872ac21d7ff04e8c5002
[ "MIT" ]
23
2018-12-05T10:54:45.000Z
2021-06-04T12:54:13.000Z
src/maya_mock/base/_abstract.py
renaudll/maya-mock
be5754affe03b06b7960872ac21d7ff04e8c5002
[ "MIT" ]
null
null
null
src/maya_mock/base/_abstract.py
renaudll/maya-mock
be5754affe03b06b7960872ac21d7ff04e8c5002
[ "MIT" ]
3
2020-04-24T05:24:58.000Z
2020-05-14T16:51:31.000Z
""" Abstract classes """ class BaseDagObject(object): """ Base class for an object that can be represented with a dag path. """ def __eq__(self, other): return hash(self) == hash(other) def __ne__(self, other): return hash(self) != hash(other) def __gt__(self, other): return self.dagpath > other.dagapth def __lt__(self, other): return self.dagpath < other.dagpath def __ge__(self, other): return self.dagpath >= other.dagpath def __le__(self, other): return self.dagpath <= other.dagpath def __hash__(self): return hash(self.dagpath) @property def dagpath(self): """ :return: The object fully qualified dagpath :rtype: str """ raise NotImplementedError
20.74359
69
0.601978
93
809
4.935484
0.397849
0.117647
0.196078
0.165577
0.488017
0.488017
0.420479
0.420479
0
0
0
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0.291718
809
38
70
21.289474
0.801047
0.170581
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0.444444
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0
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0.888889
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null
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null
0
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0
0
1
0
0
0
1
1
0
0
5
eddd1a01d6909bbecea2b0d99881750f2524abf3
49
py
Python
src/digital_multimeter/exceptions/MultimeterException.py
KLSMartin/digital-multimeter
2f3ca40ea808d78a26eda933cb0e83b7c67e247b
[ "BSD-2-Clause" ]
2
2020-12-11T23:01:45.000Z
2021-05-10T13:46:57.000Z
src/digital_multimeter/exceptions/MultimeterException.py
KLSMartin/digital-multimeter
2f3ca40ea808d78a26eda933cb0e83b7c67e247b
[ "BSD-2-Clause" ]
1
2021-04-05T23:42:05.000Z
2021-04-06T20:55:41.000Z
src/digital_multimeter/exceptions/MultimeterException.py
KLSMartin/digital-multimeter
2f3ca40ea808d78a26eda933cb0e83b7c67e247b
[ "BSD-2-Clause" ]
2
2021-03-31T12:56:41.000Z
2021-03-31T12:58:20.000Z
class MultimeterException(Exception): pass
9.8
37
0.755102
4
49
9.25
1
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4
38
12.25
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true
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1
1
0
0
0
0
0
5
edf823bd06166a02873173d45d2262314a5fd5fe
145
py
Python
Test/test_edit_first_group.py
Lagorim/python_test
9c9f5accfba73bb458e3c705bd1b37bd3536d3de
[ "Apache-2.0" ]
1
2019-04-04T08:21:49.000Z
2019-04-04T08:21:49.000Z
Test/test_edit_first_group.py
Lagorim/python_test
9c9f5accfba73bb458e3c705bd1b37bd3536d3de
[ "Apache-2.0" ]
null
null
null
Test/test_edit_first_group.py
Lagorim/python_test
9c9f5accfba73bb458e3c705bd1b37bd3536d3de
[ "Apache-2.0" ]
null
null
null
from Model_class.group import Group def test_edit_first_group(app): app.group.edit(Group(name="abckj", header="joiuh", footer="vgxsrdgc"))
24.166667
74
0.751724
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145
4.772727
0.727273
0
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145
5
75
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1
0
0
1
0
1
0
0
5
b616ca07be2585cc3dc1d935cac86c9ce94f0c00
16,146
py
Python
authnzerver/client.py
waqasbhatti/authnzerver
d40fa38601f4f11e966fc52e11ad6fe1116bb145
[ "MIT" ]
3
2019-06-02T12:57:08.000Z
2020-04-01T14:00:12.000Z
authnzerver/client.py
waqasbhatti/authnzerver
d40fa38601f4f11e966fc52e11ad6fe1116bb145
[ "MIT" ]
7
2020-03-17T21:55:41.000Z
2020-07-07T22:58:48.000Z
authnzerver/client.py
waqasbhatti/authnzerver
d40fa38601f4f11e966fc52e11ad6fe1116bb145
[ "MIT" ]
2
2020-03-04T06:56:27.000Z
2020-03-24T08:39:11.000Z
# -*- coding: utf-8 -*- """This module contains an authnzerver client, useful for frontend servers. """ ############# ## LOGGING ## ############# import logging LOGGER = logging.getLogger(__name__) ############# ## IMPORTS ## ############# import json import os from collections import namedtuple from secrets import token_urlsafe from tornado.httpclient import ( HTTPClient, AsyncHTTPClient, HTTPRequest, HTTPClientError ) from cryptography.fernet import Fernet from .messaging import encrypt_message, decrypt_message from .jsonencoder import FrontendEncoder # this replaces the default encoder and makes it so Tornado will do the right # thing when it converts dicts to JSON when a # tornado.web.RequestHandler.write(dict) is called. json._default_encoder = FrontendEncoder() # the response object AuthnzerverResponse = namedtuple('AuthnzerverResponse', ['success', 'response', 'messages', 'headers', 'status_code', 'failure_reason']) class Authnzerver: """An authnzerver client class, capable of async and sync calls. To do anything useful, an *authnzerver_url* and *authnzerver_token* are required. By default, this object will populate these from the environment using the following variables: - AUTHNZERVER_URL -> authnzerver_url - AUTHNZERVER_SECRET -> authnzerver_secret These are overridden by whatever you provide in the *authnzerver_url* and *authnzerver_secret* kwargs. If *tls_certfile* and *tls_keyfile* are both provided, they will be used to set up a TLS-enabled connection to the authnzerver. """ def __init__(self, authnzerver_url=None, authnzerver_secret=None, tls_certfile=None, tls_keyfile=None): """Makes a new Authnzerver client object. """ if authnzerver_url is None: self.authnzerver_url = os.environ.get("AUTHNZERVER_URL", None) else: self.authnzerver_url = authnzerver_url if self.authnzerver_url: self.authnzerver_url = self.authnzerver_url.strip().strip('"') if authnzerver_secret is None: self.authnzerver_secret = os.environ.get("AUTHNZERVER_SECRET", None) else: self.authnzerver_secret = authnzerver_secret # check the Fernet key if self.authnzerver_secret: self.authnzerver_secret = ( self.authnzerver_secret.strip().strip('"') ) try: Fernet(self.authnzerver_secret) except Exception: LOGGER.error( "The provided authnzerver_secret is " "not a valid Fernet key. " "Check base64 padding. You can use either " "cryptography.Fernet.generate_key() or " "base64.urlsafe_b64encode(secrets.token_bytes())" ".decode('utf-8') to " "generate a compatible secret key." ) raise # get the cert file and key self.tls_certfile = tls_certfile self.tls_keyfile = tls_keyfile def request(self, request_type, request_body, request_id=None): """This does a synchronous request to the authnzerver. Parameters ---------- request_type : str This should be one of the request types defined in the authnzerver `HTTP API <https://authnzerver.readthedocs.io/en/latest/api.html>`_. request_body : dict A dict with the appropriate items needed for *request_type*. This should also contain a key: "client_ipaddr" with the IP address of the frontend server's client. This is used for rate-limiting authnzerver API actions per IP address per minute. request_id : str or int, optional If *request_id* is None, a random 8-byte request ID will be generated for you. Use *request_id* to track authnzerver requests throughout the response handling cycle of your frontend server. Returns ------- namedtuple Returns an *AuthnzerverResponse* named-tuple with the following attributes:: (success, response, messages, headers, status_code, failure_reason) where: - *success* is a boolean indicating if the request was successful. - *response* is a dict containing the full response from the authnzerver. - *messages* is a list of strings containing any messages that are appropriate to pass on to the end-user. - *headers* is a dict containing the response headers from the authnzerver. - *status_code* is the HTTP status code of the authnzerver request. Use this to figure out if your request was being rate-limited (check for 429). - *failure_reason* is None if the request was successful, but if it wasn't, contains the reason why the request might have failed; including details of any exceptions encountered. This MUST NOT be disclosed to an end-user of the frontend server. """ httpclient = HTTPClient() if request_id is None: request_id = token_urlsafe(8) if "client_ipaddr" not in request_body: raise KeyError( "Expected key 'client_ipaddr' in request_body. " "Set this to the frontend client's IP address " "to enable rate-limiting." ) message_dict = { "request": request_type, "body": request_body, "reqid": request_id, "client_ipaddr": request_body["client_ipaddr"] } # encrypt the message encrypted_request = encrypt_message( message_dict, self.authnzerver_secret ) # set up the request request_obj = HTTPRequest( self.authnzerver_url, method='POST', body=encrypted_request, connect_timeout=5.0, request_timeout=5.0, client_key=self.tls_keyfile, client_cert=self.tls_certfile ) # fire the request try: authnzerver_response = httpclient.fetch( request_obj, ) # decrypt the message decrypted_response = decrypt_message( authnzerver_response.body, self.authnzerver_secret, request_id, ) if decrypted_response is None: return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], dict(authnzerver_response.headers), authnzerver_response.code, "could not decrypt authnzerver response" ) returned_reqid = decrypted_response['reqid'] if returned_reqid != request_id: return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], dict(authnzerver_response.headers), authnzerver_response.code, "authnzerver returned incorrect request ID" ) # # otherwise, return the response # success = decrypted_response.pop("success") messages = decrypted_response.pop("messages", None) headers = dict(authnzerver_response.headers) # some cleanup of the response dict response_dict = decrypted_response['response'] response_dict.pop("success", None) response_dict.pop("messages", None) response_dict.pop("failure_reason", None) status_code = authnzerver_response.code failure_reason = decrypted_response.pop("failure_reason", None) return AuthnzerverResponse( success, response_dict, messages, headers, status_code, failure_reason ) # non-200 response except HTTPClientError as e: authnzerver_response = e.response return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], dict(authnzerver_response.headers), authnzerver_response.code, authnzerver_response.body.decode('utf-8') ) # handle other exceptions except Exception as e: return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], None, None, "ran into an exception in request to authnzerver: %r" % e ) finally: httpclient.close() async def async_request(self, request_type, request_body, request_id=None): """This does an asynchronous request to the authnzerver. Parameters ---------- request_type : str This should be one of the request types defined in the authnzerver `HTTP API <https://authnzerver.readthedocs.io/en/latest/api.html>`_. request_body : dict A dict with the appropriate items needed for *request_type*. This should also contain a key: "client_ipaddr" with the IP address of the frontend server's client. This is used for rate-limiting authnzerver API actions per IP address per minute. request_id : str or int, optional If *request_id* is None, a random 8-byte request ID will be generated for you. Use *request_id* to track authnzerver requests throughout the response handling cycle of your frontend server. Returns ------- namedtuple Returns an *AuthnzerverResponse* named tuple with the following attributes:: (success, response, messages, headers, status_code, failure_reason) where: - *success* is a boolean indicating if the request was successful. - *response* is a dict containing the full response from the authnzerver. - *messages* is a list of strings containing any messages that are appropriate to pass on to the end-user. - *headers* is a dict containing the response headers from the authnzerver. - *status_code* is the HTTP status code of the authnzerver request. Use this to figure out if your request was being rate-limited (check for 429). - *failure_reason* is None if the request was successful, but if it wasn't, contains the reason why the request might have failed; including details of any exceptions encountered. This MUST NOT be disclosed to an end-user of the frontend server. """ async_httpclient = AsyncHTTPClient() if request_id is None: request_id = token_urlsafe(8) if "client_ipaddr" not in request_body: raise KeyError( "Expected key 'client_ipaddr' in request_body. " "Set this to the frontend client's IP address " "to enable rate-limiting." ) message_dict = { "request": request_type, "body": request_body, "reqid": request_id, "client_ipaddr": request_body["client_ipaddr"], } # encrypt the message encrypted_request = encrypt_message( message_dict, self.authnzerver_secret ) # set up the request request_obj = HTTPRequest( self.authnzerver_url, method='POST', body=encrypted_request, connect_timeout=5.0, request_timeout=5.0, client_key=self.tls_keyfile, client_cert=self.tls_certfile ) # fire the request try: authnzerver_response = await async_httpclient.fetch( request_obj, ) # decrypt the message decrypted_response = decrypt_message( authnzerver_response.body, self.authnzerver_secret, request_id, ) if decrypted_response is None: return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], dict(authnzerver_response.headers), authnzerver_response.code, "could not decrypt authnzerver response" ) returned_reqid = decrypted_response['reqid'] if returned_reqid != request_id: return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], dict(authnzerver_response.headers), authnzerver_response.code, "authnzerver returned incorrect request ID" ) # # otherwise, return the response # success = decrypted_response.pop("success") messages = decrypted_response.pop("messages", None) headers = dict(authnzerver_response.headers) # some cleanup of the response dict response_dict = decrypted_response['response'] response_dict.pop("success", None) response_dict.pop("messages", None) response_dict.pop("failure_reason", None) status_code = authnzerver_response.code failure_reason = decrypted_response.pop("failure_reason", None) return AuthnzerverResponse( success, response_dict, messages, headers, status_code, failure_reason ) # non-200 response except HTTPClientError as e: authnzerver_response = e.response return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], dict(authnzerver_response.headers), authnzerver_response.code, authnzerver_response.body.decode('utf-8') ) # handle other exceptions except Exception as e: return AuthnzerverResponse( False, None, ["This request could not be completed.", "There was a problem communicating with the auth server."], None, None, "ran into an exception in request to authnzerver: %r" % e ) finally: async_httpclient.close()
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5
fcbba208f1b8ed24b6c60ef2e20ecadea301df6a
157
py
Python
python/datming/utils/__init__.py
Yuhan-Wg/massive-data-mining
b1f261e73a8d3a8e1f22dee0a1a975de3da2e7ce
[ "Apache-2.0" ]
null
null
null
python/datming/utils/__init__.py
Yuhan-Wg/massive-data-mining
b1f261e73a8d3a8e1f22dee0a1a975de3da2e7ce
[ "Apache-2.0" ]
null
null
null
python/datming/utils/__init__.py
Yuhan-Wg/massive-data-mining
b1f261e73a8d3a8e1f22dee0a1a975de3da2e7ce
[ "Apache-2.0" ]
null
null
null
from .hash import hash2vector, hash2int from .join_operation import join_multiple_keys __all__ = [ "hash2vector", "hash2int", "join_multiple_keys" ]
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fcc3c138653c99f4ef8671c309387dd2b9ab80e7
9,457
py
Python
tests/test_babymaker.py
optimuspaul/py-babymaker
10cc497522ec517dbaca0b7aa34dc75eecc11f5b
[ "MIT" ]
1
2018-09-01T08:40:38.000Z
2018-09-01T08:40:38.000Z
tests/test_babymaker.py
optimuspaul/py-babymaker
10cc497522ec517dbaca0b7aa34dc75eecc11f5b
[ "MIT" ]
null
null
null
tests/test_babymaker.py
optimuspaul/py-babymaker
10cc497522ec517dbaca0b7aa34dc75eecc11f5b
[ "MIT" ]
null
null
null
from babymaker import BabyMaker, EnumType, IntType, StringType, UUIDType, FieldType, DatetimeType, FloatType, EmbedType import unittest import string import sys from datetime import datetime, timedelta class TestMakeSomeBabies(unittest.TestCase): def test_make_one(self): fields = { "id": UUIDType() } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() self.assertTrue("id" in one) def test_make_some(self): fields = { "id": UUIDType() } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(8)) self.assertEquals(len(some), 8) for one in some: self.assertTrue("id" in one) def test_uuid_field_hex_format(self): fields = { "id": UUIDType(format="hex_str") } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertEquals(len(the_id), 32) for char in the_id: self.assertTrue(char in string.hexdigits) def test_uuid_field_default_format(self): fields = { "id": UUIDType() } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertEquals(len(the_id), 36) for char in the_id: self.assertTrue(char in string.hexdigits + "-") def test_uuid_field_int_format(self): fields = { "id": UUIDType("int") } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, int) def test_uuid_field_int_str_format(self): fields = { "id": UUIDType("int_str") } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") for char in the_id: self.assertTrue(char in string.digits) will_it_blend = int(the_id) def test_int_field(self): fields = { "id": IntType(min_value=10, max_value=11) } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, int) self.assertTrue(the_id >= 10) self.assertTrue(the_id <= 11) fields = { "id": IntType() } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, int) self.assertTrue(the_id >= 0) self.assertTrue(the_id <= sys.maxsize) def test_float_field(self): fields = { "id": FloatType(min_value=2.0, max_value=10.0) } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, float) self.assertTrue(the_id >= 2.0) self.assertTrue(the_id <= 10.0) fields = { "id": FloatType() } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, float) self.assertTrue(the_id >= 0.0) self.assertTrue(the_id <= 1.0) for baby in female_of_the_species.make_some(100): the_id = baby.get("id") self.assertIsInstance(the_id, float) self.assertTrue(the_id >= 0.0) self.assertTrue(the_id <= 1.0) fields = { "id": FloatType(min_value=1.0) } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, float) self.assertTrue(the_id >= 1.0) self.assertTrue(the_id <= 2.0) def test_string_field(self): fields = { "id": StringType(min_size=10, max_size=22) } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, str) for char in the_id: self.assertTrue(char in string.printable) self.assertTrue(len(the_id) >= 10) self.assertTrue(len(the_id) <= 22) fields = { "id": StringType() } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, str) for char in the_id: self.assertTrue(char in string.printable) self.assertTrue(len(the_id) >= 0) self.assertTrue(len(the_id) <= 64) def test_string_field_with_limited_chars(self): allowed_chars = "paul" fields = { "id": StringType(allowed_chars=allowed_chars, min_size=10, max_size=22) } female_of_the_species = BabyMaker(fields) one = female_of_the_species.make_one() the_id = one.get("id") self.assertIsInstance(the_id, str) for char in the_id: self.assertTrue(char in allowed_chars) self.assertTrue(len(the_id) >= 10) self.assertTrue(len(the_id) <= 22) def test_enum_type(self): choices = [1, 8, "paul", 12, None] fields = { "id": EnumType(choices=choices) } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(88)) self.assertEquals(len(some), 88) for one in some: the_id = one.get("id") self.assertTrue(the_id in choices) def test_base_field_type(self): fields = { "id": FieldType() } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(88)) self.assertEquals(len(some), 88) for one in some: the_id = one.get("id") self.assertIsNone(the_id) def test_datetime_type(self): start = datetime(1976, 7, 15) end = datetime(1977, 7, 15) fields = { "created": DatetimeType(start, end) } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(88)) self.assertEquals(len(some), 88) for one in some: created = one.get("created") self.assertIsInstance(created, datetime) self.assertTrue(created <= end) self.assertTrue(created >= start) def test_datetime_notime_type(self): start = datetime(1976, 7, 15) end = datetime(1977, 7, 15) fields = { "created": DatetimeType(start, end, include_time=False) } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(88)) self.assertEquals(len(some), 88) for one in some: created = one.get("created") self.assertIsInstance(created, datetime) self.assertEquals(created.hour, 0) self.assertEquals(created.minute, 0) self.assertEquals(created.second, 0) self.assertTrue(created <= end) self.assertTrue(created >= start) def test_datetime_incremental_type(self): start = datetime(1976, 7, 15) end = datetime(1977, 7, 15) delta = timedelta(weeks=1) fields = { "created": DatetimeType(start, end, increment=delta) } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(56)) self.assertEquals(len(some), 56) test_value = start for one in some: created = one.get("created") self.assertIsInstance(created, datetime) self.assertTrue(created <= end) self.assertTrue(created >= start) self.assertEquals(created, test_value) test_value += delta if test_value >= end: test_value = start def test_datetime_decremental_type(self): start = datetime(1976, 7, 15) end = datetime(1977, 7, 15) delta = timedelta(weeks=-1) fields = { "created": DatetimeType(start, end, increment=delta) } female_of_the_species = BabyMaker(fields) some = list(female_of_the_species.make_some(56)) self.assertEquals(len(some), 56) test_value = end for one in some: created = one.get("created") self.assertIsInstance(created, datetime) self.assertTrue(created <= end) self.assertTrue(created >= start) self.assertEquals(created, test_value) test_value += delta if test_value <= start: test_value = end def test_embedded_maker(self): fields = { "id": UUIDType() } female_of_the_species = BabyMaker(fields) fields2 = { "inbed": EmbedType(female_of_the_species), "id": UUIDType() } grandma = BabyMaker(fields2) one = grandma.make_one() self.assertTrue("id" in one) self.assertTrue("inbed" in one) self.assertTrue("id" in one.inbed)
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5
fcc4677cb955f1d45b3d21d1fd04f99bf3515071
68
py
Python
social/strategies/base.py
raccoongang/python-social-auth
81c0a542d158772bd3486d31834c10af5d5f08b0
[ "BSD-3-Clause" ]
1,987
2015-01-01T16:12:45.000Z
2022-03-29T14:24:25.000Z
social/strategies/base.py
raccoongang/python-social-auth
81c0a542d158772bd3486d31834c10af5d5f08b0
[ "BSD-3-Clause" ]
731
2015-01-01T22:55:25.000Z
2022-03-10T15:07:51.000Z
virtual/lib/python3.6/site-packages/social/strategies/base.py
dennismwaniki67/awards
80ed10541f5f751aee5f8285ab1ad54cfecba95f
[ "MIT" ]
1,082
2015-01-01T16:27:26.000Z
2022-03-22T21:18:33.000Z
from social_core.strategy import BaseTemplateStrategy, BaseStrategy
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67
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5
fccbc8647739c4ab43a8d25685007115f7cc5f5f
32
py
Python
tests/__init__.py
zmraul/mongodb-operator
d4cc52f7106674515892d0504f55ddb26c30e525
[ "Apache-2.0" ]
null
null
null
tests/__init__.py
zmraul/mongodb-operator
d4cc52f7106674515892d0504f55ddb26c30e525
[ "Apache-2.0" ]
4
2021-11-23T15:30:00.000Z
2022-01-27T11:20:28.000Z
tests/__init__.py
zmraul/mongodb-operator
d4cc52f7106674515892d0504f55ddb26c30e525
[ "Apache-2.0" ]
3
2022-01-24T14:55:27.000Z
2022-01-27T16:36:23.000Z
# Copyright 2021 Canonical Ltd.
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5
fcf7a9fc0ed66c3b886dabbcb6022ee7ffc69376
101
py
Python
pbs.py
hand-code/pbs
d5d8dc00d949b70f96118fc09c2ba8e627625591
[ "MIT" ]
null
null
null
pbs.py
hand-code/pbs
d5d8dc00d949b70f96118fc09c2ba8e627625591
[ "MIT" ]
null
null
null
pbs.py
hand-code/pbs
d5d8dc00d949b70f96118fc09c2ba8e627625591
[ "MIT" ]
null
null
null
from app import app import loader # modifiy feature-mydoc if __name__ == '__main__': app.run()
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fcf87cdf8815e7dc889033e8c9a4b0693b6abfb1
3,908
py
Python
pa1-skeleton/pa1-data/8/www.stanford.edu_class_cs221_progAssignments_PA2_bustersAgents.py
yzhong94/cs276-spring-2019
a4780a9f88b8c535146040fe11bb513c91c5693b
[ "MIT" ]
null
null
null
pa1-skeleton/pa1-data/8/www.stanford.edu_class_cs221_progAssignments_PA2_bustersAgents.py
yzhong94/cs276-spring-2019
a4780a9f88b8c535146040fe11bb513c91c5693b
[ "MIT" ]
null
null
null
pa1-skeleton/pa1-data/8/www.stanford.edu_class_cs221_progAssignments_PA2_bustersAgents.py
yzhong94/cs276-spring-2019
a4780a9f88b8c535146040fe11bb513c91c5693b
[ "MIT" ]
null
null
null
bustersagents py licensing information please do not distribute or publish solutions to this project you are free to use and extend these projects for educational purposes the pacman ai projects were developed at uc berkeley primarily by john denero denero cs berkeley edu and dan klein klein cs berkeley edu for more info see http inst eecs berkeley edu cs188 sp09 pacman html import util from game import agent from game import directions from keyboardagents import keyboardagent import inference class bustersagent an agent that tracks and displays its beliefs about ghost positions def __init__ self index 0 inference exactinference ghostagents none inferencetype util lookup inference globals self inferencemodules inferencetype a for a in ghostagents def registerinitialstate self gamestate initializes beliefs and inference modules import __main__ self display __main__ _display for inference in self inferencemodules inference initialize gamestate self ghostbeliefs inf getbeliefdistribution for inf in self inferencemodules self firstmove true def observationfunction self gamestate removes the ghost states from the gamestate agents gamestate data agentstates gamestate data agentstates agents 0 none for i in range 1 len agents return gamestate def getaction self gamestate updates beliefs then chooses an action based on updated beliefs for index inf in enumerate self inferencemodules if not self firstmove inf elapsetime gamestate self firstmove false inf observestate gamestate self ghostbeliefs index inf getbeliefdistribution self display updatedistributions self ghostbeliefs return self chooseaction gamestate def chooseaction self gamestate by default a bustersagent just stops this should be overridden return directions stop class busterskeyboardagent bustersagent keyboardagent an agent controlled by the keyboard that displays beliefs about ghost positions def __init__ self index 0 inference exactinference ghostagents none keyboardagent __init__ self index bustersagent __init__ self index inference ghostagents def getaction self gamestate return bustersagent getaction self gamestate def chooseaction self gamestate return keyboardagent getaction self gamestate from distancecalculator import distancer from game import actions from game import directions class greedybustersagent bustersagent an agent that charges the closest ghost def registerinitialstate self gamestate pre computes the distance between every two points bustersagent registerinitialstate self gamestate self distancer distancer gamestate data layout false def chooseaction self gamestate first computes the most likely position of each ghost that has not yet been captured then chooses an action that brings pacman closer to the closest ghost in maze distance to find the maze distance between any two positions use self distancer getdistance pos1 pos2 to find the successor position of a position after an action successorposition actions getsuccessor position action livingghostpositiondistributions defined below is a list of util counter objects equal to the position belief distributions for each of the ghosts that are still alive it is defined based on these are implementation details about which you need not be concerned 1 gamestate getlivingghosts a list of booleans one for each agent indicating whether or not the agent is alive note that pacman is always agent 0 so the ghosts are agents 1 onwards just as before 2 self ghostbeliefs the list of belief distributions for each of the ghosts including ghosts that are not alive the indices into this list should be 1 less than indices into the gamestate getlivingghosts list pacmanposition gamestate getpacmanposition legal a for a in gamestate getlegalpacmanactions livingghosts gamestate getlivingghosts livingghostpositiondistributions beliefs for i beliefs in enumerate self ghostbeliefs if livingghosts i 1 your code here util raisenotdefined
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fcffc981cb821c69c6cadc7905f4855f8ee75a8f
71
py
Python
init_db.py
angelika-mamchych/BudgetBuddy
7f231d2f97159e85ceca916e9edae8d55796844c
[ "MIT" ]
null
null
null
init_db.py
angelika-mamchych/BudgetBuddy
7f231d2f97159e85ceca916e9edae8d55796844c
[ "MIT" ]
32
2018-05-03T17:01:23.000Z
2018-10-30T18:46:29.000Z
init_db.py
angelika-mamchych/BudgetBuddy
7f231d2f97159e85ceca916e9edae8d55796844c
[ "MIT" ]
null
null
null
from settings import db from models import Flow, User db.create_all()
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1e053edfd652f3271d0d1dd0da839c78f32b0b73
6,444
py
Python
model.py
hamedhaghighi/Usupervised_Image_Restoration
a3fefbf54891b9e984987fe15bd6b434b59fec3c
[ "MIT" ]
null
null
null
model.py
hamedhaghighi/Usupervised_Image_Restoration
a3fefbf54891b9e984987fe15bd6b434b59fec3c
[ "MIT" ]
null
null
null
model.py
hamedhaghighi/Usupervised_Image_Restoration
a3fefbf54891b9e984987fe15bd6b434b59fec3c
[ "MIT" ]
null
null
null
import tensorflow as tf from ops import batch_normal, de_conv, conv2d, fully_connect, lrelu class Model(): def __init__(self, batch_size, dataset, latent_dim): self.batch_size = batch_size self.dataset = dataset self.latent_dim = latent_dim def discriminate(self, x_var, reuse=False): if self.dataset == 'mnist': return self.discriminate_mnist(x_var, reuse=reuse) elif self.dataset == 'celebA': return self.discriminate_CelebA(x_var, reuse=reuse) def generate(self, x_var, reuse=False): if self.dataset == 'mnist': return self.generate_mnist(x_var, reuse=reuse) elif self.dataset == 'celebA': return self.generate_CelebA(x_var, reuse=reuse) def Encode(self, x_var, reuse=False): if self.dataset == 'mnist': return self.Encode_mnist(x_var) elif self.dataset == 'celebA': return self.Encode_CelebA(x_var) def discriminate_mnist(self, x_var, reuse=False): with tf.variable_scope("discriminator") as scope: if reuse: scope.reuse_variables() conv1 = tf.nn.relu(conv2d(x_var, output_dim=16, name='dis_conv1')) conv2 = tf.nn.relu(batch_normal( conv2d(conv1, output_dim=32, name='dis_conv2'), scope='dis_bn1', reuse=reuse)) conv3 = conv2d(conv2, output_dim=64, name='dis_conv3') middle_conv = conv3 conv4 = tf.nn.relu(batch_normal( conv3, scope='dis_bn3', reuse=reuse)) conv4 = tf.reshape(conv4, [self.batch_size, -1]) # fl = tf.nn.relu(batch_normal(fully_connect(conv4, output_size=64, scope='dis_fully1'), scope='dis_bn4', reuse=reuse)) output = fully_connect(conv4, output_size=1, scope='dis_fully2') return middle_conv, output def generate_mnist(self, z_var, reuse=False): with tf.variable_scope('generator') as scope: if reuse == True: scope.reuse_variables() d1 = tf.nn.relu(batch_normal(fully_connect( z_var, output_size=7*7*32, scope='gen_fully1'), scope='gen_bn1', reuse=reuse)) d2 = tf.reshape(d1, [self.batch_size, 7, 7, 32]) d2 = tf.nn.relu(batch_normal(de_conv(d2, output_shape=[ self.batch_size, 14, 14, 16], name='gen_deconv2'), scope='gen_bn2', reuse=reuse)) d3 = de_conv(d2, output_shape=[ self.batch_size, 28, 28, 1], name='gen_deconv3') return tf.nn.sigmoid(d3) def Encode_mnist(self, x): with tf.variable_scope('encode') as scope: conv1 = tf.nn.relu(batch_normal( conv2d(x, output_dim=16, name='e_c1'), scope='e_bn1')) conv2 = tf.nn.relu(batch_normal( conv2d(conv1, output_dim=32, name='e_c2'), scope='e_bn2')) conv3 = tf.nn.relu(batch_normal( conv2d(conv2, output_dim=64, name='e_c3'), scope='e_bn3')) conv3 = tf.reshape(conv3, [self.batch_size, 4*4*64]) # fc1 = tf.nn.relu(batch_normal(fully_connect(conv3, output_size=128, scope='e_f1'), scope='e_bn4')) z_mean = fully_connect( conv3, output_size=self.latent_dim, scope='e_f2') z_sigma = fully_connect( conv3, output_size=self.latent_dim, scope='e_f3') return z_mean, z_sigma def discriminate_CelebA(self, x_var, reuse=False): with tf.variable_scope("discriminator") as scope: if reuse: scope.reuse_variables() conv1 = tf.nn.relu(conv2d(x_var, output_dim=32, name='dis_conv1')) conv2 = tf.nn.relu(batch_normal( conv2d(conv1, output_dim=128, name='dis_conv2'), scope='dis_bn1', reuse=reuse)) conv3 = tf.nn.relu(batch_normal( conv2d(conv2, output_dim=256, name='dis_conv3'), scope='dis_bn2', reuse=reuse)) conv4 = conv2d(conv3, output_dim=256, name='dis_conv4') middle_conv = conv4 conv4 = tf.nn.relu(batch_normal( conv4, scope='dis_bn3', reuse=reuse)) conv4 = tf.reshape(conv4, [self.batch_size, -1]) fl = tf.nn.relu(batch_normal(fully_connect( conv4, output_size=256, scope='dis_fully1'), scope='dis_bn4', reuse=reuse)) output = fully_connect(fl, output_size=1, scope='dis_fully2') return middle_conv, output def generate_CelebA(self, z_var, reuse=False): with tf.variable_scope('generator') as scope: if reuse == True: scope.reuse_variables() d1 = tf.nn.relu(batch_normal(fully_connect( z_var, output_size=8*8*256, scope='gen_fully1'), scope='gen_bn1', reuse=reuse)) d2 = tf.reshape(d1, [self.batch_size, 8, 8, 256]) d2 = tf.nn.relu(batch_normal(de_conv(d2, output_shape=[ self.batch_size, 16, 16, 256], name='gen_deconv2'), scope='gen_bn2', reuse=reuse)) d3 = tf.nn.relu(batch_normal(de_conv(d2, output_shape=[ self.batch_size, 32, 32, 128], name='gen_deconv3'), scope='gen_bn3', reuse=reuse)) d4 = tf.nn.relu(batch_normal(de_conv(d3, output_shape=[ self.batch_size, 64, 64, 32], name='gen_deconv4'), scope='gen_bn4', reuse=reuse)) d5 = de_conv(d4, output_shape=[ self.batch_size, 64, 64, 3], name='gen_deconv5', d_h=1, d_w=1) return tf.nn.tanh(d5) def Encode_CelebA(self, x): with tf.variable_scope('encode') as scope: conv1 = tf.nn.relu(batch_normal( conv2d(x, output_dim=64, name='e_c1'), scope='e_bn1')) conv2 = tf.nn.relu(batch_normal( conv2d(conv1, output_dim=128, name='e_c2'), scope='e_bn2')) conv3 = tf.nn.relu(batch_normal( conv2d(conv2, output_dim=256, name='e_c3'), scope='e_bn3')) conv3 = tf.reshape(conv3, [self.batch_size, 256 * 8 * 8]) fc1 = tf.nn.relu(batch_normal(fully_connect( conv3, output_size=1024, scope='e_f1'), scope='e_bn4')) z_mean = fully_connect(fc1, output_size=128, scope='e_f2') z_sigma = fully_connect(fc1, output_size=128, scope='e_f3') return z_mean, z_sigma
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5
1e2af30cbb8542376ce77703354f7a3cf079bbf6
115
py
Python
torch_spspmm_out/spspmm_out.py
wazizian/torch_spspmm_out
b97297cec7263ec9a34e4230d867a59bf01b3a4b
[ "MIT" ]
null
null
null
torch_spspmm_out/spspmm_out.py
wazizian/torch_spspmm_out
b97297cec7263ec9a34e4230d867a59bf01b3a4b
[ "MIT" ]
null
null
null
torch_spspmm_out/spspmm_out.py
wazizian/torch_spspmm_out
b97297cec7263ec9a34e4230d867a59bf01b3a4b
[ "MIT" ]
null
null
null
import torch #TODO: wrap spspmm_out in torch.autograd.Function spspmm_out = torch.ops.torch_spspmm_out.spspmm_out
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5
1e463aa9b6dc4e3e198f9751153ab7f936c5095e
123
py
Python
nct_football/__init__.py
txq92/custom_components
52e95b13d5f9f77551135c6e002bc2dbfa495bd1
[ "MIT" ]
null
null
null
nct_football/__init__.py
txq92/custom_components
52e95b13d5f9f77551135c6e002bc2dbfa495bd1
[ "MIT" ]
1
2021-12-20T10:08:00.000Z
2022-01-05T15:46:57.000Z
nct_football/__init__.py
txq92/custom_components
52e95b13d5f9f77551135c6e002bc2dbfa495bd1
[ "MIT" ]
8
2020-11-29T06:47:02.000Z
2022-03-17T06:14:30.000Z
""" Home Assistant component to get information about israel school vacation. https://github.com/rt400/School-Vacation """
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5
1e467042c9dfcf0df5df8d28c539ff466bfdbedc
194
py
Python
VNL_Monocular_Depth_Prediction/lib/utils/misc.py
edithlzh/Automation_VNL_Depth_Estimation
694955aba1bc028dfb448c88c3cb2a701865b283
[ "MIT" ]
null
null
null
VNL_Monocular_Depth_Prediction/lib/utils/misc.py
edithlzh/Automation_VNL_Depth_Estimation
694955aba1bc028dfb448c88c3cb2a701865b283
[ "MIT" ]
null
null
null
VNL_Monocular_Depth_Prediction/lib/utils/misc.py
edithlzh/Automation_VNL_Depth_Estimation
694955aba1bc028dfb448c88c3cb2a701865b283
[ "MIT" ]
null
null
null
import socket from datetime import datetime def get_run_name(): """ A unique name for each run """ return datetime.now().strftime( '%b%d-%H-%M-%S') + '_' + socket.gethostname()
24.25
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5
1e6241d14d1f8a205c859e9577577f0288c3a6af
55
py
Python
img/__init__.py
dearkafka/img
74c4761de6d78dbd1c8aac26784e5f69e8882539
[ "MIT" ]
null
null
null
img/__init__.py
dearkafka/img
74c4761de6d78dbd1c8aac26784e5f69e8882539
[ "MIT" ]
null
null
null
img/__init__.py
dearkafka/img
74c4761de6d78dbd1c8aac26784e5f69e8882539
[ "MIT" ]
null
null
null
from .resize import resize from .face import align_face
27.5
28
0.836364
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55
5
0.555556
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27.5
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1
0
0
5
1e6d2cbc26549820f6989d220b6e4249acf38bd5
85
py
Python
2021/20th/src.py
fabichoi/1d1p
e978ed5f385114598ef2298385ed19ae61b06f5c
[ "MIT" ]
null
null
null
2021/20th/src.py
fabichoi/1d1p
e978ed5f385114598ef2298385ed19ae61b06f5c
[ "MIT" ]
1
2021-08-29T14:31:17.000Z
2021-08-29T14:31:17.000Z
2021/20th/src.py
fabichoi/1d1p
e978ed5f385114598ef2298385ed19ae61b06f5c
[ "MIT" ]
null
null
null
ar = [[0 for _ in range(31)] for __ in range(31)] for line in range(1, 31): c = 1
28.333333
49
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1ead546c7943bf34d9e17cc3d7be56332aefe1b7
900
py
Python
grain_size_tools/unit_tests/test_tools.py
jwestraadt/GrainSizeTools
81e8694421b1bd4b8ccd73355ee2394c85c10a89
[ "Apache-2.0" ]
48
2015-08-06T14:06:12.000Z
2022-03-08T16:39:12.000Z
grain_size_tools/unit_tests/test_tools.py
jwestraadt/GrainSizeTools
81e8694421b1bd4b8ccd73355ee2394c85c10a89
[ "Apache-2.0" ]
12
2018-07-11T15:09:14.000Z
2021-05-21T00:32:31.000Z
grain_size_tools/unit_tests/test_tools.py
jwestraadt/GrainSizeTools
81e8694421b1bd4b8ccd73355ee2394c85c10a89
[ "Apache-2.0" ]
16
2016-07-19T16:38:59.000Z
2021-09-22T08:24:21.000Z
import unittest from tools import * # import test dataset and store expected results #TODO class test_tools_function(unittest.TestCase): def test_calc_freq_grainsize(self): # test default values self.assertAlmostEqual(calc_freq_grainsize(d), results_01) # test bin size methods self.assertAlmostEqual(calc_freq_grainsize(d, binsize='fd'), results_01) self.assertAlmostEqual(calc_freq_grainsize(d, binsize='scott'), results_01) self.assertAlmostEqual(calc_freq_grainsize(d, binsize='scott'), results_01) def test_calc_freq_grainsize_err(self): # make sure value errors are raised when necessary self.assertRaises(ValueError, calc_freq_grainsize, d, ) def test_calc_freq_peak(self): # test default values self.assertAlmostEqual(calc_freq_peak(d), ) if __name__ == "__main__": unittest.main()
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0.211129
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0.196667
900
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1
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0
0
0
0
0
0
5
1ed7a7ec4d97f62ba2ec30eddcfec83b2114fdda
246
py
Python
pytpp/attributes/client_subgroup.py
Venafi/pytpp
42af655b2403b8c9447c86962abd4aaa0201f646
[ "MIT" ]
4
2022-02-04T23:58:55.000Z
2022-02-15T18:53:08.000Z
pytpp/attributes/client_subgroup.py
Venafi/pytpp
42af655b2403b8c9447c86962abd4aaa0201f646
[ "MIT" ]
null
null
null
pytpp/attributes/client_subgroup.py
Venafi/pytpp
42af655b2403b8c9447c86962abd4aaa0201f646
[ "MIT" ]
null
null
null
from pytpp.attributes._helper import IterableMeta from pytpp.attributes.client_group_base import ClientGroupBaseAttributes class ClientSubgroupAttributes(ClientGroupBaseAttributes, metaclass=IterableMeta): __config_class__ = "Client Subgroup"
35.142857
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0.878049
23
246
9.043478
0.652174
0.086538
0.182692
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0.073171
246
6
83
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0.912281
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0
0
1
0
1
0
0
5
9493bab635642f1981b088d409281c61988471e3
2,676
py
Python
menu_command.py
ginanjarn/pythontools
7d51268bbe2eefecbb717195c328385903b554f0
[ "MIT" ]
null
null
null
menu_command.py
ginanjarn/pythontools
7d51268bbe2eefecbb717195c328385903b554f0
[ "MIT" ]
null
null
null
menu_command.py
ginanjarn/pythontools
7d51268bbe2eefecbb717195c328385903b554f0
[ "MIT" ]
null
null
null
"""menu commands""" import sublime_plugin from .core.sublimetext import settings class PytoolsSetAutocompleteCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.autocomplete = ( not settings.DEFAULT_PREFERENCES.autocomplete ) def is_checked(self): return settings.DEFAULT_PREFERENCES.autocomplete class PytoolsSetDocumentationCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.documentation = ( not settings.DEFAULT_PREFERENCES.documentation ) def is_checked(self): return settings.DEFAULT_PREFERENCES.documentation class PytoolsSetDocumentformattingCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.document_formatting = ( not settings.DEFAULT_PREFERENCES.document_formatting ) def is_checked(self): return settings.DEFAULT_PREFERENCES.document_formatting class PytoolsSetDiagnosticCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.diagnostic = ( not settings.DEFAULT_PREFERENCES.diagnostic ) def is_checked(self): return settings.DEFAULT_PREFERENCES.diagnostic class PytoolsSetLinterPyflakesCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.linter = "pyflakes" def is_checked(self): return settings.DEFAULT_PREFERENCES.linter == "pyflakes" def is_enabled(self): """if command enabled""" return settings.DEFAULT_PREFERENCES.diagnostic class PytoolsSetLinterPylintCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.linter = "pylint" def is_checked(self): return settings.DEFAULT_PREFERENCES.linter == "pylint" def is_enabled(self): """if command enabled""" return settings.DEFAULT_PREFERENCES.diagnostic class PytoolsSetLintOnSaveCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.lint_on_save = ( not settings.DEFAULT_PREFERENCES.lint_on_save ) def is_checked(self): return settings.DEFAULT_PREFERENCES.lint_on_save def is_enabled(self): """if command enabled""" return settings.DEFAULT_PREFERENCES.diagnostic class PytoolsSetRenameCommand(sublime_plugin.ApplicationCommand): def run(self): settings.DEFAULT_PREFERENCES.rename = not settings.DEFAULT_PREFERENCES.rename def is_checked(self): return settings.DEFAULT_PREFERENCES.rename
29.406593
85
0.733931
257
2,676
7.431907
0.167315
0.196335
0.340314
0.184293
0.712042
0.670157
0.657068
0.642408
0.467539
0.200524
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2,676
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29.733333
0.884669
0.026158
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false
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0.137931
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1
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0
5
9495bba0baa17697dddd3b7869dcad86c95c5e8c
47,876
py
Python
tests/test_full.py
perlmonger42/itunes_smartplaylist
397653bf02780062bfb3cf67bc2f946f57bf3566
[ "MIT" ]
14
2015-07-26T06:35:09.000Z
2021-07-28T18:33:05.000Z
tests/test_full.py
perlmonger42/itunes_smartplaylist
397653bf02780062bfb3cf67bc2f946f57bf3566
[ "MIT" ]
3
2016-10-08T20:45:13.000Z
2022-01-31T08:56:04.000Z
tests/test_full.py
perlmonger42/itunes_smartplaylist
397653bf02780062bfb3cf67bc2f946f57bf3566
[ "MIT" ]
2
2019-09-19T14:15:41.000Z
2021-11-01T16:14:15.000Z
import os import json import copy try: import itunessmart except ImportError: import sys include = os.path.relpath(os.path.join(os.path.dirname(__file__), "..")) sys.path.insert(0, include) import itunessmart print("Imported itunessmart from %s" % os.path.abspath(os.path.join(include, "itunessmart"))) testdata = [ { "desc" : "Only Stringfield", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEcBAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUAEIAZQBlAG4AaQBlACAATQBhAG4AAAAD" "AQAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGABB" "AHIAdAAgAGEAbgBkACAATABpAGYAZQ=="), "expected" : { "query" : "(lower(AlbumArtist) = 'beenie man') AND (lower(Album) = 'art and life')" } }, { "desc" : "Only int field == 999999", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAPQj8AAAAAAAAAAAAAAAAAAAAB" "AAAAAAAPQj8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "output" : "Plays is 999999" }, "xsp" : [('example', '<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>\n<smartplaylist type="songs">\n <name>example</name>\n <match>all</match>\n <rule field="playcount" operator="is">\n <value>999999</value>\n </rule>\n\n\n</smartplaylist>')] }, { "desc" : "only int range: 512 - 999999", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAEAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAPQj8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "output" : "Plays is in the range of 512 to 999999", "query" : "(Plays BETWEEN 512 AND 999999)", "tree": { "and": [ ( "Plays", "(Plays BETWEEN 512 AND 999999)" ) ] }, } }, { "desc" : "int range: 512 - 999999, string: Whatever", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAEAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAPQj8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAwAAAgAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEABXAGgAYQB0" "AGUAdgBlAHI="), "expected" : { "query" : "(Plays BETWEEN 512 AND 999999) AND (lower(Album) NOT LIKE '%whatever%')" } }, { "desc" : "date modified: is after 3/16/2015", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoAAAAQAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAANEtHv8AAAAAAAAAAAAAAAAAAAAB" "AAAAANEtHv8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "TIMESTAMP(DateModified) > 1426550399", "fulltree": { "and": [ { "field": "DateModified", "type": "date", "operator": "is after", "value": 1426550399 } ] } } }, { "desc" : "date modified: in the range of 3/16/2015", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoAAAEAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAANErzYAAAAAAAAAAAAAAAAAAAAAB" "AAAAANEtHv8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "TIMESTAMP(DateModified) BETWEEN 1426464000 AND 1426550399" } }, { "desc" : "date added: in the last 0 weeks", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAIAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABELa4tri2uLa4AAAAAAAAAAAAAAAAACTqA" "La4tri2uLa4AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(TIMESTAMP(NOW()) - TIMESTAMP(DateAdded)) < 0" } }, { "desc" : "date added: in the last 1 weeks", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAIAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABELa4tri2uLa7//////////wAAAAAACTqA" "La4tri2uLa4AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(TIMESTAMP(NOW()) - TIMESTAMP(DateAdded)) < 604800" } }, { "desc" : "date added: not in the last 1 months, Limit to 9876 MB selected by RANDOM", "info" : ("AQEBAgAAAAIAACaUAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABACAAIAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABELa4tri2uLa7//////////wAAAAAAKBmg" "La4tri2uLa4AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(TIMESTAMP(NOW()) - TIMESTAMP(DateAdded)) > 2628000", "number": 9876, "type": "MB", "order": "RANDOM()", "onlychecked": False, "liveupdate": True, } }, { "desc" : "checked is false", "info" : ("AQEAAgAAAAIAACaUAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB0AAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(Checked = 0)", "onlychecked": False, "liveupdate": True } }, { "desc" : "checked is true", "info" : ("AQEAAgAAAAIAACaUAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB0CAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(Checked = 1)", "onlychecked": False, "liveupdate": True } }, { "desc" : "Media Kind is Podcast", "info" : ("AAEAAgAAAAIAAAAAAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAQAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAAAAQAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(MediaKind = 'Podcast')", "onlychecked": False, "liveupdate": False, "fulltree": { "and": [ { "field": "MediaKind", "type": "mediakind", "operator": "is", "value": "Podcast" } ] } } }, { "desc" : "Media Kind is Home Video", "info" : ("AAEAAgAAAAIAAAAAAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAABAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(MediaKind = 'Home Video')" } }, { "desc" : "Media Kind is not Home Video", "info" : ("AAEAAgAAAAIAAAAAAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwCAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAABAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "output" : "MediaKind is not Home Video\nLive updating disabled", "query" : "(MediaKind != 'Home Video')", "ignore" : "" } }, { "desc" : "Media Kind is iTunes Extra", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAQAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAB" "AAAAAAABAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(MediaKind = 'iTunes Extras')", "ignore" : "" } }, { "desc" : "Playlist is PersistentID", "info" : ("AQEAAgAAAAIAAAAAAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgAAAABAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEInHfMHVNPhoAAAAAAAAAAAAAAAAAAAAB" "InHfMHVNPhoAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(PlaylistPersistentID = '2271DF30754D3E1A')" } }, { "desc" : "Sub expression: artist.contains(a) and All( Artist.contains('Ap') , Artist.contains('ob') )", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQBAAACAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAEEAAAAAAAAAAQEAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAFNMc3QAAQABAAAAAgAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAEAQAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAABABBAHAAAAAEAQAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAABABPAEI="), "expected" : { "query" : "(lower(Artist) LIKE '%ap%') AND (lower(Artist) LIKE '%ob%')" } }, { "desc" : "Sub expression: Plays > 15 ALL:( PLAYS > 16 AND PLAYS > 17 ) RATING > 4", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAADAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAA8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAA8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB/FNMc3QAAQABAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFgAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAEQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAEQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAABIAAAAAAAAAAAAAAAAAAAABAAAAAAAAABIAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAABZAAAAAAAAAAAAAAAAAAAAAQAAAAAAAABZAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAA"), "expected" : { "query" : "(Plays > 15) AND ( (Plays > 16) AND (Plays > 17) AND (Plays > 18) ) AND (Rating > 4)" }, "xsp" : [('zzzsub_0e0db45ffe89e65c0b8396121fe654a1', '<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>\n<smartplaylist type="songs">\n <name>zzzsub_0e0db45ffe89e65c0b8396121fe654a1</name>\n <match>all</match>\n <rule field="playcount" operator="greaterthan">\n <value>16</value>\n </rule>\n <rule field="playcount" operator="greaterthan">\n <value>17</value>\n </rule>\n <rule field="playcount" operator="greaterthan">\n <value>18</value>\n </rule>\n\n</smartplaylist>'), ('example', '<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>\n<smartplaylist type="songs">\n <name>example</name>\n <match>all</match>\n <rule field="playcount" operator="greaterthan">\n <value>15</value>\n </rule>\n <rule field="userrating" operator="greaterthan">\n <value>4</value>\n </rule>\n <rule field="playlist" operator="is">\n <value>zzzsub_0e0db45ffe89e65c0b8396121fe654a1</value>\n </rule>\n\n\n</smartplaylist>')] }, { "desc" : "Sub expression: Plays > 15 ANY:( PLAYS > 16 AND PLAYS > 17 ) RATING > 4", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" :"U0xzdAABAAEAAAADAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAA8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAA8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB/FNMc3QAAQABAAAAAwAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFgAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAEQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAEQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAABIAAAAAAAAAAAAAAAAAAAABAAAAAAAAABIAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAABZAAAAAAAAAAAAAAAAAAAAAQAAAAAAAABZAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAA", "expected" : { "query" : "(Plays > 15) AND ( (Plays > 16) OR (Plays > 17) OR (Plays > 18) ) AND (Rating > 4)" }, "xsp" : [('example', '<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>\n<smartplaylist type="songs">\n <name>example</name>\n <match>all</match>\n <rule field="playcount" operator="greaterthan">\n <value>15</value>\n </rule>\n <rule field="playcount" operator="greaterthan">\n <value>16</value>\n <value>17</value>\n <value>18</value>\n </rule>\n <rule field="userrating" operator="greaterthan">\n <value>4</value>\n </rule>\n\n\n</smartplaylist>')] }, { "desc" : "Location is/not on Computer/iCloud", "info" : ("AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIUAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACFAgAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAhQAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIUCAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAABAAAAAAAAAAAAAAAAAAAAABAAAAAAAAABAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA="), "expected" : { "query" : "(Location = 'Computer') AND (Location != 'Computer') AND (Location = 'iCloud') AND (Location != 'iCloud')" } }, { "desc" : "All possbile iCloud Status", "info" : ("AQEAAgAAAAIAAAAAAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : "U0xzdAABAAEAAAAHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABE88cNik9UBY8AAAAAAAAAAAAAAAAAAAAB88cNik9UBY8AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACGAgAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAACAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAACAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAhgAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIYAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACGAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAhgAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAABQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAABQAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIYAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA=", "expected" : { "tree": { "and": [ ( "PlaylistPersistentID", "(PlaylistPersistentID = 'F3C70D8A4F54058F')" ), ( "iCloudStatus", "(iCloudStatus != 'Matched')" ), ( "iCloudStatus", "(iCloudStatus = 'Purchased')" ), ( "iCloudStatus", "(iCloudStatus = 'Uploaded')" ), ( "iCloudStatus", "(iCloudStatus = 'Ineligible')" ), ( "iCloudStatus", "(iCloudStatus = 'Local Only')" ), ( "iCloudStatus", "(iCloudStatus = 'Duplicate')" ) ] }, } }, { "desc" : "Album starts with `Sól` or Album ends with `IDo` (Exclude unchecked items)", "info" : ("AQEAAwAAAAIAAAAZAQAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="), "criteria" : ("U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAQAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAU0xzdAABAAEAAAACAAAAAQAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAA" "AAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQ" "AAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQRTTHN0AAEA" "AQAAAAIAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwEAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYAUwDzAGwAAAADAQAACAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgBJAEQAbw=="), "expected" : { "query": "(lower(Album) Like 'sól%') OR (lower(Album) Like '%ido%')" } }, { "desc" : "BPM is 60 or BPM is in the range of 70 to 80 (Limited to 25 Items selected by highest rated, exclude unchecked items)", "info" : "AQEBAwAAABwAAAAZAQAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA==", "criteria" : "U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAU0xzdAABAAEAAAACAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYBTTHN0AAEAAQAAAAIAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIwAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAPAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAPAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACMAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAEYAAAAAAAAAAAAAAAAAAAABAAAAAAAAAFAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAA=", "expected" : { "query": "(BPM = 60) OR (BPM BETWEEN 70 AND 80)", "number": 25, "type": "Items", "order": "Rating DESC", "onlychecked": True, "liveupdate": True } }, { "desc" : "All Love status", "info" : "AQEAAwAAAAIAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA==", "criteria" : "U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAU0xzdAABAAEAAAACAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfxTTHN0AAEAAQAAAAMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmgAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJoAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAMAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACaAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAA", "expected" : { "query": "(Love = 'Loved') AND (Love = 'Disliked') AND (Love = 'None')", } }, { "desc" : "BPM is not 60 or PlaylistPersistentID is not CF3419CE9A5B19E2 or LastPlayed is before 2017-10-06 or DateModified is not in the last 3 days or BitRate is 128 or Love is Loved Limited to 25 Items selected by random Exclude unchecked items", "info" : "AQEBAwAAAAIAAAAZAQAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA==", "criteria" : "U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAU0xzdAABAAEAAAACAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+xTTHN0AAEAAQAAAAcAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIwIAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAPAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAPAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgCAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEzzQZzppbGeIAAAAAAAAAAAAAAAAAAAABzzQZzppbGeIAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAXAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAADV/HgAAAAAAAAAAAAAAAAAAAAAAQAAAADV/HgAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKQAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoCAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABELa4tri2uLa7//////////QAAAAAAAVGALa4tri2uLa4AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAACAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAACAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmgAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAA==", "expected" : { "query": "(BPM != 60) OR (PlaylistPersistentID != 'CF3419CE9A5B19E2') OR TIMESTAMP(LastPlayed) < 1507248000 OR (Purchased = 0) OR (TIMESTAMP(NOW()) - TIMESTAMP(DateModified)) > 259200 OR (BitRate = 128) OR (Love = 'Loved')", "number": 25, "type": "Items", "order": "RANDOM()", "onlychecked": True, "liveupdate": True, }, "xsp" : [('example', '<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>\n<smartplaylist type="songs">\n <name>example</name>\n <match>all</match>\n <rule field="lastplayed" operator="before">\n <value>1507248000</value>\n </rule>\n <limit>25</limit>\n <order>random</order>\n</smartplaylist>')] }, { "desc" : "Non-existing field 0xc6", "info" : "AQEBAwAAAAIAAAAZAQAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA==", "criteria" : "U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAU0xzdAABAAEAAAACAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+xTTHN0AAEAAQAAAAcAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIwIAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAPAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAPAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgCAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABEzzQZzppbGeIAAAAAAAAAAAAAAAAAAAABzzQZzppbGeIAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAXAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAADV/HgAAAAAAAAAAAAAAAAAAAAAAQAAAADV/HgAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKQAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoCAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABELa4tri2uLa7//////////QAAAAAAAVGALa4tri2uLa4AAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAACAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAACAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAxgAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEQAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAA==", "expected" : { "query": "(BPM != 60) OR (PlaylistPersistentID != 'CF3419CE9A5B19E2') OR TIMESTAMP(LastPlayed) < 1507248000 OR (Purchased = 0) OR (TIMESTAMP(NOW()) - TIMESTAMP(DateModified)) > 259200 OR (BitRate = 128)", "ignore": "Not processed: Unkown field: 0xc6 " } }, { "desc" : "order by ", "info" : ("AQEBAwAAAAcAAAAZAAAAAAAAAAcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAA=="), "criteria" : ("U0xzdAABAAEAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAQAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGAU0xzdAABAAEAAAACAAAAAQAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAADwAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAABEAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAB" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8AAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAARAAAAAAAAAAgAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAg" "AAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWRTTHN0AAEAAQAAAAMAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAARwEAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAgAQwBoAGkAcAAAAAMBAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmAEwAZQBhAGcAdQBlACAAbwBmACAATQB5ACAATwB3" "AG4AIABJAEkAAAADAwAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" "AAAAAAAAAAAABgBJAEkASQ=="), "expected" : { "query": "(lower(AlbumArtist) Like '%chip%') AND (lower(Album) Like 'league of my own ii%') AND (lower(Album) NOT LIKE '%iii%')", "number": 25, "type": "Items", "order": "SortArtist", "ignore": "" }, "xsp" : [('example', '<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>\n<smartplaylist type="songs">\n <name>example</name>\n <match>all</match>\n <rule field="albumartist" operator="endswith">\n <value>Chip</value>\n </rule>\n <rule field="album" operator="startswith">\n <value>League of My Own II</value>\n </rule>\n <rule field="album" operator="doesnotcontain">\n <value>III</value>\n </rule>\n <limit>25</limit>\n <order direction="artist">ascending</order>\n</smartplaylist>')] }, ] def test_examples(verbose=False): for test in copy.deepcopy(testdata): parser = itunessmart.Parser(test["info"], test["criteria"]) result = parser.result if verbose: print("\n\nTest: %s" % test["desc"]) print("############") print(result.output) print("############") print(result.query) print("############") print(json.dumps(result.queryTree, indent=2)) print("############") print(result.ignore) if "expected" in test and test["expected"]: exp = test["expected"] if "output" in exp: assert exp.pop("output") == result.output if "query" in exp: assert exp.pop("query") == result.query if "queryTree" in exp: assert exp.pop("queryTree") == result.queryTree if "ignore" in exp: assert exp.pop("ignore") == result.ignore for key in exp: assert exp[key] == result.queryTree[key] else: raise NotImplementedError(test["desc"]) if "xsp" in test: xsp = itunessmart.createXSP(name="example", smartPlaylist=result, createSubplaylists=True) assert xsp == test["xsp"] parser.result = None parser = None result = None xsp = None def readLibrary(filename): path = os.path.join(os.path.dirname(__file__), filename) with open(path, "rb") as fs: library = itunessmart.readiTunesLibrary(fs) return library def test_library_minimal(verbose=False): library = readLibrary("library_minimal.xml") playlist = library['Playlists'][1] assert 'Name' in playlist and 'Smart Criteria' in playlist and 'Smart Info' in playlist and playlist['Smart Criteria'] assert playlist['Name'] == "Chip - League of My Own II" parser = itunessmart.Parser() parser.update_data_bytes(playlist['Smart Info'],playlist['Smart Criteria']) assert parser.result.query == "(lower(Album) = 'league of my own ii')" mapping = itunessmart.generatePersistentIDMapping(library) assert mapping['38822E892B8D332A'] == "Chip - League of My Own II" def test_bytes_parser(verbose=False): library = readLibrary("library_minimal.xml") playlist = library['Playlists'][1] assert 'Name' in playlist and 'Smart Criteria' in playlist and 'Smart Info' in playlist and playlist['Smart Criteria'] assert playlist['Name'] == "Chip - League of My Own II" parser = itunessmart.BytesParser(playlist['Smart Info'],playlist['Smart Criteria']) parser.update_data_base64(testdata[0]["info"], testdata[0]["criteria"]) assert testdata[0]["expected"]["query"] == parser.result.query def test_library_onlysmartplaylists(verbose=False): library = readLibrary("library_onlysmartplaylists.xml") playlist = library['Playlists'][15] assert 'Name' in playlist and 'Smart Criteria' in playlist and 'Smart Info' in playlist and playlist['Smart Criteria'] assert playlist['Name'] == "Aceyalone - Leanin' on Slick" parser = itunessmart.BytesParser(playlist['Smart Info'],playlist['Smart Criteria']) assert parser.result.query == "(lower(AlbumArtist) = 'aceyalone') AND (lower(Album) = 'leanin' on slick')" root, playlistByPersistentId = itunessmart.createPlaylistTree(library) assert root.parent is None for child in root.children: if child.data["Playlist ID"] == 84196: playlist = child.data parser = itunessmart.BytesParser(playlist['Smart Info'], playlist['Smart Criteria']) assert parser.result.query == "(lower(Artist) LIKE '%adele%') OR (lower(Artist) LIKE '%austin howard brown%') OR (lower(Artist) LIKE '%churchill%') OR (lower(Artist) LIKE '%duenday%') OR (lower(Artist) LIKE '%gnarls barkley%') OR ( (lower(Artist) LIKE '%jack white%') AND (lower(Name) LIKE '%blue light%') ) OR (lower(Artist) LIKE '%more than lights%') OR (lower(Artist) LIKE '%santogold%') OR (lower(Artist) LIKE '%sutcliffe%') OR (lower(Artist) LIKE '%zz ward%')" def test_xsp_minimal(verbose=False): library = readLibrary("library_minimal.xml") playlist = library['Playlists'][1] assert playlist['Name'] == "Chip - League of My Own II" parser = itunessmart.Parser() parser.update_data_bytes(playlist['Smart Info'],playlist['Smart Criteria']) assert parser.result.query == "(lower(Album) = 'league of my own ii')" files = itunessmart.createXSPFile(directory=".", name=playlist['Name'], smartPlaylist=parser.result, createSubplaylists=True) assert len(files) == 1 with open(files[0], "r") as f: xsp = f.read() expected = """<?xml version="1.0" encoding="UTF-8" standalone="yes" ?> <smartplaylist type="songs"> <name>Chip - League of My Own II</name> <match>all</match> <rule field="album" operator="is"> <value>League of My Own II</value> </rule> </smartplaylist>""" assert xsp == expected # Clean up for file in files: if os.path.isfile(file): os.remove(file) def test_xsp_errors(verbose=False): parser = itunessmart.Parser(testdata[13]["info"], testdata[13]["criteria"]) assert parser.result.query == "(MediaKind != 'Home Video')" try: files = itunessmart.createXSP(name="example", smartPlaylist=parser.result, createSubplaylists=False) except Exception as e: assert type(e) == itunessmart.xsp.PlaylistException def test_xsp_subplaylists(verbose=False): library = readLibrary("library_onlysmartplaylists.xml") persistentIDMapping = itunessmart.generatePersistentIDMapping(library) parser = itunessmart.Parser() files = [] for playlist in library['Playlists']: if 'Name' in playlist: if 'HipHop' in playlist['Name'] or 'rap' in playlist['Name']: parser.update_data_bytes(playlist['Smart Info'],playlist['Smart Criteria']) files += itunessmart.createXSPFile(directory='.', name=playlist['Name'], smartPlaylist=parser.result, createSubplaylists=True, persistentIDMapping=persistentIDMapping) with open("HipHop.xsp", "r") as f: xsp = f.read() # Rule: is playlist assert '''<rule field="playlist" operator="is"> <value>Deutschrap</value> </rule>''' in xsp # Subplaylists match: rules = xsp.split('<rule field="playlist"')[1:] for rule in rules: subname = rule.split('<value>')[1].split('</value>')[0] filename = "%s.xsp" % subname assert os.path.isfile(filename) # XML escaped character with open("HipHop2000.xsp", "r") as f: xsp = f.read() name = xsp.split("<name>")[1].split("</name>")[0].strip() assert name == "HipHop&lt;2000" # Rule: global OR with open("Deutschrap.xsp", "r") as f: xsp = f.read() assert "<match>one</match>" in xsp # Clean up for file in files: if os.path.isfile(file): os.remove(file) def run_all(verbose=False): for fname, f in list(globals().items()): if fname.startswith('test_'): print("%s()" % fname) f(verbose) print("Ok.") if __name__ == '__main__': run_all(verbose=False)
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5
949b5c3a5a7f03e8937dada8cc8c14194c745695
183
py
Python
publications/admin.py
chriscurran89/chriscurran-webportal
c3771eefd5c5760c5d0faa91f5e9e219233b60c7
[ "CC0-1.0" ]
null
null
null
publications/admin.py
chriscurran89/chriscurran-webportal
c3771eefd5c5760c5d0faa91f5e9e219233b60c7
[ "CC0-1.0" ]
null
null
null
publications/admin.py
chriscurran89/chriscurran-webportal
c3771eefd5c5760c5d0faa91f5e9e219233b60c7
[ "CC0-1.0" ]
null
null
null
from django.contrib import admin from publications.models import Publication class PublicationAdmin(admin.ModelAdmin): pass admin.site.register(Publication, PublicationAdmin)
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94abf438aa0a71dd3fb74a33f1469598b24f7129
283
py
Python
app/schemas/__init__.py
wiki-yu/fastapi-algorithm-library
8f745e9fe4d1d063dc8505d4c7f467e95209a385
[ "MIT" ]
null
null
null
app/schemas/__init__.py
wiki-yu/fastapi-algorithm-library
8f745e9fe4d1d063dc8505d4c7f467e95209a385
[ "MIT" ]
null
null
null
app/schemas/__init__.py
wiki-yu/fastapi-algorithm-library
8f745e9fe4d1d063dc8505d4c7f467e95209a385
[ "MIT" ]
null
null
null
from .yolov5 import (Yolov5InputData, Yolov5Response, yolov5_response_examples, yolov5getweights_response_examples, yolov5uploadweights_response_examples) from .usage_logs import UsageLog, UsageLogs
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94c8fa5fd74e7e8cbb8fb2b0ba886ec2fa847072
200
py
Python
credentialdigger/models/base_model.py
isabella232/credential-digger
82d75bbcb7379aeb4a37b0ec22542247922ffd9c
[ "Apache-2.0" ]
189
2020-06-23T09:15:20.000Z
2022-03-27T19:44:19.000Z
credentialdigger/models/base_model.py
SAP/credential-digger
b25744412c2cd1496c26937a5f5aecd37c9a288e
[ "Apache-2.0" ]
133
2020-06-19T17:30:54.000Z
2022-03-21T16:19:20.000Z
credentialdigger/models/base_model.py
isabella232/credential-digger
82d75bbcb7379aeb4a37b0ec22542247922ffd9c
[ "Apache-2.0" ]
45
2020-06-24T09:17:36.000Z
2022-03-23T14:56:42.000Z
from abc import ABC, abstractmethod class BaseModel(ABC): @abstractmethod def analyze(self, **kwargs): pass @abstractmethod def analyze_batch(self, **kwargs): pass
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5
a205b389728520f3f0a105308bd96cb3bf7ad839
175
py
Python
mymoney/core/utils/__init__.py
ychab/mymoney-server
40dc9fdd08b3561287a9153342b25c58de8ad8ce
[ "BSD-3-Clause" ]
6
2015-12-11T13:36:27.000Z
2018-10-17T03:08:15.000Z
mymoney/core/utils/__init__.py
ychab/mymoney-server
40dc9fdd08b3561287a9153342b25c58de8ad8ce
[ "BSD-3-Clause" ]
2
2016-06-12T12:42:47.000Z
2017-12-12T14:05:14.000Z
mymoney/core/utils/__init__.py
ychab/mymoney-server
40dc9fdd08b3561287a9153342b25c58de8ad8ce
[ "BSD-3-Clause" ]
1
2022-02-21T21:20:51.000Z
2022-02-21T21:20:51.000Z
from .currencies import * # NOQA from .dates import * # NOQA def get_default_account(): from mymoney.accounts.models import Account return Account.objects.first()
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5
bf4111559bb17a69168dd90dae8f361fd1434482
114
py
Python
apps/bitacora/admin.py
WilliamColmenares/Access_control
6c4d07a55307fe9f876a796d3e7273188b7569d4
[ "MIT" ]
2
2017-06-22T13:50:56.000Z
2021-09-16T14:07:50.000Z
apps/bitacora/admin.py
WilliamColmenares/Access_control
6c4d07a55307fe9f876a796d3e7273188b7569d4
[ "MIT" ]
null
null
null
apps/bitacora/admin.py
WilliamColmenares/Access_control
6c4d07a55307fe9f876a796d3e7273188b7569d4
[ "MIT" ]
2
2017-06-08T17:18:29.000Z
2021-04-17T22:20:34.000Z
from django.contrib import admin from apps.bitacora.models import Bitacora admin.site.register(Bitacora)
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5
bf4f451f93d0f31be494e4e4233aaa8ef334c67e
444
py
Python
build/lib.linux-x86_64-2.7/ryu/app/experiments/iperf_peers_fsize6.py
Helloworld1995/Ryu_SDN_Controller
2680f967debca361adc6ff14ddadcbbcde0c7082
[ "Apache-2.0" ]
1
2021-03-11T01:47:35.000Z
2021-03-11T01:47:35.000Z
ryu/app/experiments/iperf_peers_fsize6.py
Helloworld1995/Ryu_SDN_Controller
2680f967debca361adc6ff14ddadcbbcde0c7082
[ "Apache-2.0" ]
null
null
null
ryu/app/experiments/iperf_peers_fsize6.py
Helloworld1995/Ryu_SDN_Controller
2680f967debca361adc6ff14ddadcbbcde0c7082
[ "Apache-2.0" ]
null
null
null
iperf_peers=[('h016', 'h013', '87.5M'), ('h007', 'h011', '87.5M'), ('h015', 'h001', '87.5M'), ('h002', 'h004', '87.5M'), ('h010', 'h014', '87.5M'), ('h004', 'h007', '87.5M'), ('h008', 'h005', '87.5M'), ('h006', 'h009', '87.5M'), ('h005', 'h012', '87.5M'), ('h003', 'h005', '87.5M'), ('h013', 'h012', '87.5M'), ('h011', 'h010', '87.5M'), ('h014', 'h013', '87.5M'), ('h009', 'h011', '87.5M'), ('h012', 'h013', '87.5M'), ('h001', 'h003', '87.5M')]
444
444
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444
3.060606
0.30303
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1
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0
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0
0
0
0
0
0
0
5
bf5028bffbfe4961ff2a7271983ff1a17e613c72
45
py
Python
vantage/__main__.py
WilliamMayor/vantage
05cda557cfc27cbf8aaf80a472a023a896e98546
[ "MIT" ]
1
2018-02-21T09:50:53.000Z
2018-02-21T09:50:53.000Z
vantage/__main__.py
WilliamMayor/vantage
05cda557cfc27cbf8aaf80a472a023a896e98546
[ "MIT" ]
15
2015-04-30T15:19:29.000Z
2021-07-28T14:34:46.000Z
vantage/__main__.py
WilliamMayor/vantage
05cda557cfc27cbf8aaf80a472a023a896e98546
[ "MIT" ]
null
null
null
from vantage.entry import vantage vantage()
11.25
33
0.8
6
45
6
0.666667
0
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45
3
34
15
0.923077
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0
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null
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0
1
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0
0
0
5
bf70741224178708618f87d7cf3e1f5c2727f985
1,077
py
Python
gym-minigrid/gym_minigrid/envs/__init__.py
sen-pai/Not-GAIL
abe23cf28c62d875774469e431858977631b5550
[ "MIT" ]
null
null
null
gym-minigrid/gym_minigrid/envs/__init__.py
sen-pai/Not-GAIL
abe23cf28c62d875774469e431858977631b5550
[ "MIT" ]
null
null
null
gym-minigrid/gym_minigrid/envs/__init__.py
sen-pai/Not-GAIL
abe23cf28c62d875774469e431858977631b5550
[ "MIT" ]
1
2021-07-15T14:01:17.000Z
2021-07-15T14:01:17.000Z
from gym_minigrid.envs.empty import * from gym_minigrid.envs.doorkey import * from gym_minigrid.envs.multiroom import * from gym_minigrid.envs.fetch import * from gym_minigrid.envs.gotoobject import * from gym_minigrid.envs.gotodoor import * from gym_minigrid.envs.putnear import * from gym_minigrid.envs.lockedroom import * from gym_minigrid.envs.keycorridor import * from gym_minigrid.envs.unlock import * from gym_minigrid.envs.unlockpickup import * from gym_minigrid.envs.blockedunlockpickup import * from gym_minigrid.envs.playground_v0 import * from gym_minigrid.envs.redbluedoors import * from gym_minigrid.envs.obstructedmaze import * from gym_minigrid.envs.memory import * from gym_minigrid.envs.fourrooms import * from gym_minigrid.envs.crossing import * from gym_minigrid.envs.lavagap import * from gym_minigrid.envs.dynamicobstacles import * from gym_minigrid.envs.distshift import * from gym_minigrid.envs.keyempty import * from gym_minigrid.envs.nkeyempty import * from gym_minigrid.envs.middleempty import * from gym_minigrid.envs.colored_fourrooms import *
35.9
51
0.833798
152
1,077
5.730263
0.203947
0.200918
0.43054
0.54535
0.688863
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0
0.001028
0.096565
1,077
30
52
35.9
0.894142
0
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true
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0
null
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1
0
1
0
0
0
0
5
bfbf4202f8b680e2f70cf7596f960b26df1c24c9
162
py
Python
lib/JumpScale/baselib/units/__init__.py
Jumpscale/jumpscale6_core
0502ddc1abab3c37ed982c142d21ea3955d471d3
[ "BSD-2-Clause" ]
1
2015-10-26T10:38:13.000Z
2015-10-26T10:38:13.000Z
lib/JumpScale/baselib/units/__init__.py
Jumpscale/jumpscale6_core
0502ddc1abab3c37ed982c142d21ea3955d471d3
[ "BSD-2-Clause" ]
null
null
null
lib/JumpScale/baselib/units/__init__.py
Jumpscale/jumpscale6_core
0502ddc1abab3c37ed982c142d21ea3955d471d3
[ "BSD-2-Clause" ]
null
null
null
from JumpScale import j from .units import Bytes, Sizes j.base.loader.makeAvailable(j, 'tools.units') j.tools.units.bytes = Bytes() j.tools.units.sizes = Sizes()
27
45
0.753086
26
162
4.692308
0.423077
0.147541
0.270492
0
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0
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0
0.104938
162
5
46
32.4
0.841379
0
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0
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true
0
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null
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null
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0
0
1
0
1
0
0
0
0
5
bfd6d9ac1e977429c3a51ccb10e1612e2a0c2662
288
py
Python
JerwinAntivola_99beer.py
jerxdev/Python-Demo
8f01f3b34ac7c7402a920393aa9849ef074480ea
[ "Unlicense" ]
null
null
null
JerwinAntivola_99beer.py
jerxdev/Python-Demo
8f01f3b34ac7c7402a920393aa9849ef074480ea
[ "Unlicense" ]
null
null
null
JerwinAntivola_99beer.py
jerxdev/Python-Demo
8f01f3b34ac7c7402a920393aa9849ef074480ea
[ "Unlicense" ]
null
null
null
def singBottlesOfBeer(): for i in range(99,0,-1): print(str(i)+" bottles of beer on the wall, "+str(i) +" bottles of beer.") print("Take one down, pass it around, "+str(i-1) +" bottles of beer on the wall.") print (" ") singBottlesOfBeer()
32
91
0.555556
41
288
3.902439
0.560976
0.075
0.24375
0.1625
0.40625
0.275
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0
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0.291667
288
8
92
36
0.759804
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0.385714
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1
0.166667
false
0.166667
0
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0.166667
0.5
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null
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1
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0
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1
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0
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null
0
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0
0
0
1
0
0
0
1
0
5
44d2fae1d11cbcbc2925b9787982106e157a4c2e
185
py
Python
byapi/__init__.py
byapi/api-python
49fe22cfbe16b3b05014e139eec1ce26f4cef5e4
[ "Apache-2.0" ]
null
null
null
byapi/__init__.py
byapi/api-python
49fe22cfbe16b3b05014e139eec1ce26f4cef5e4
[ "Apache-2.0" ]
null
null
null
byapi/__init__.py
byapi/api-python
49fe22cfbe16b3b05014e139eec1ce26f4cef5e4
[ "Apache-2.0" ]
1
2018-01-31T09:50:35.000Z
2018-01-31T09:50:35.000Z
# encoding: utf-8 from byapi.vm import VMClient from byapi.ip import IPClient from byapi.sg import SGClient from byapi.image import ImageClient from byapi.project import ProjectClient
23.125
39
0.827027
28
185
5.464286
0.571429
0.294118
0
0
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0.006211
0.12973
185
7
40
26.428571
0.944099
0.081081
0
0
0
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0
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0
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1
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true
0
1
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1
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1
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null
1
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0
0
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1
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null
0
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0
0
1
0
1
0
0
0
0
5
44e08df212bf1fc9d8afd7cd5034ae427cd70edb
323
py
Python
DEND/Capstone/src/redshift_analysis.py
bmareddy/Udacity
422076bd0aea67ae9baf70028d9b33c27bea64e7
[ "MIT" ]
1
2020-12-14T02:54:35.000Z
2020-12-14T02:54:35.000Z
DEND/Capstone/src/redshift_analysis.py
bmareddy/Udacity
422076bd0aea67ae9baf70028d9b33c27bea64e7
[ "MIT" ]
null
null
null
DEND/Capstone/src/redshift_analysis.py
bmareddy/Udacity
422076bd0aea67ae9baf70028d9b33c27bea64e7
[ "MIT" ]
1
2021-05-24T20:58:29.000Z
2021-05-24T20:58:29.000Z
from common import execute_redshift_load_query, execute_redshift_select_query from sql_queries import load_air_quality_query, analysis_query def load_air_quality(): execute_redshift_load_query(load_air_quality_query) def run_analysis(): data = execute_redshift_select_query(analysis_query) return data
35.888889
78
0.832817
45
323
5.444444
0.377778
0.244898
0.171429
0.195918
0
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0
0.126935
323
9
79
35.888889
0.868794
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1
0.285714
false
0
0.285714
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0.714286
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null
1
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null
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1
0
0
0
0
1
0
0
5
781f1aafc686cbc3e7fa8afdcc9e871713c66db2
37
py
Python
build/lib/apriorib1/__init__.py
BALaka-18/apriorib1
65aca319021ab7c7be657cd02720e0f78cb821b9
[ "MIT" ]
null
null
null
build/lib/apriorib1/__init__.py
BALaka-18/apriorib1
65aca319021ab7c7be657cd02720e0f78cb821b9
[ "MIT" ]
null
null
null
build/lib/apriorib1/__init__.py
BALaka-18/apriorib1
65aca319021ab7c7be657cd02720e0f78cb821b9
[ "MIT" ]
null
null
null
from apriorib.apriorib import Apriori
37
37
0.891892
5
37
6.6
0.8
0
0
0
0
0
0
0
0
0
0
0
0.081081
37
1
37
37
0.970588
0
0
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0
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true
0
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0
null
0
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1
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null
0
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0
0
0
0
1
0
1
0
0
0
0
5
78356e71c80304727d2cd87a9e87ac201158d690
143
py
Python
goodjob/jobs/notifier.py
RussellLuo/goodjob
3c4bfa590df87615ca9a8897d94299b993b2ea5f
[ "MIT" ]
1
2015-04-17T08:18:00.000Z
2015-04-17T08:18:00.000Z
goodjob/jobs/notifier.py
RussellLuo/goodjob
3c4bfa590df87615ca9a8897d94299b993b2ea5f
[ "MIT" ]
null
null
null
goodjob/jobs/notifier.py
RussellLuo/goodjob
3c4bfa590df87615ca9a8897d94299b993b2ea5f
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from __future__ import absolute_import def notify(job_name, event): print('>>> job[%s] %s' % (job_name, event))
17.875
47
0.629371
20
143
4.15
0.7
0.168675
0.289157
0
0
0
0
0
0
0
0
0.008475
0.174825
143
7
48
20.428571
0.694915
0.146853
0
0
0
0
0.116667
0
0
0
0
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0
1
0.333333
false
0
0.333333
0
0.666667
0.333333
1
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null
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1
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0
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0
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null
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1
0
0
1
0
0
0
0
5
787fdd9f973d8c496c5b49beaece547e203a5d8d
169
py
Python
app.py
manishg139/python-docs-hello-world
caf5565c490324b231eb938b93aa90d545176a45
[ "MIT" ]
null
null
null
app.py
manishg139/python-docs-hello-world
caf5565c490324b231eb938b93aa90d545176a45
[ "MIT" ]
null
null
null
app.py
manishg139/python-docs-hello-world
caf5565c490324b231eb938b93aa90d545176a45
[ "MIT" ]
null
null
null
from flask import Flask,render_template,request app = Flask(__name__) @app.route("/") def hello(): return "Hello, World!" #return render_template("login.html")
21.125
47
0.710059
22
169
5.181818
0.681818
0.245614
0
0
0
0
0
0
0
0
0
0
0.142012
169
7
48
24.142857
0.786207
0.213018
0
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0
0.106061
0
0
0
0
0
0
1
0.2
false
0
0.2
0.2
0.6
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
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0
0
0
0
0
0
1
1
0
0
5
78883452a265dd285ce6e2ef81b73242309219fc
24
py
Python
invoke_tools/vcs/__init__.py
VJftw/invoke-tools
9584a1f8a402118310b6f2a495062f388fc8dc3a
[ "MIT" ]
2
2017-07-02T02:46:58.000Z
2018-07-24T03:36:30.000Z
invoke_tools/vcs/__init__.py
VJftw/invoke-tools
9584a1f8a402118310b6f2a495062f388fc8dc3a
[ "MIT" ]
null
null
null
invoke_tools/vcs/__init__.py
VJftw/invoke-tools
9584a1f8a402118310b6f2a495062f388fc8dc3a
[ "MIT" ]
1
2019-11-27T14:43:03.000Z
2019-11-27T14:43:03.000Z
from .git_scm import Git
24
24
0.833333
5
24
3.8
0.8
0
0
0
0
0
0
0
0
0
0
0
0.125
24
1
24
24
0.904762
0
0
0
0
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1
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true
0
1
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1
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null
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1
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null
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0
0
1
0
1
0
0
0
0
5
78997fd4c4dd7bff8c4bc348983d6179b73b7ec4
62
py
Python
instabot/getter/__init__.py
SOUFIANEZAZA/instapro
7ab33b035211345db12b75b64bdd7f9edd1dbd2b
[ "Apache-2.0" ]
84
2017-04-26T08:42:11.000Z
2022-03-14T21:53:05.000Z
instabot/getter/__init__.py
sudoguy/instapro
7a7003cf07fdf992037641f61beee8815be8a0b1
[ "Apache-2.0" ]
10
2017-05-15T07:18:51.000Z
2020-07-18T10:55:02.000Z
instabot/getter/__init__.py
sudoguy/instapro
7a7003cf07fdf992037641f61beee8815be8a0b1
[ "Apache-2.0" ]
26
2017-05-12T15:03:32.000Z
2022-02-10T08:04:28.000Z
from .getter import Getter assert Getter # silence pyflakes
15.5
33
0.790323
8
62
6.125
0.75
0
0
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0
0
0
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0.177419
62
3
34
20.666667
0.960784
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true
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null
0
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0
0
1
0
1
0
0
0
0
5
78d1f5a21da058ad619e7a2e781cb3387405a820
91
py
Python
pysh/py_vm/py_statement.py
JordanKoeller/Pysch
6775db00e6d551328ce49a50a5987223a9e9a9c3
[ "MIT" ]
null
null
null
pysh/py_vm/py_statement.py
JordanKoeller/Pysch
6775db00e6d551328ce49a50a5987223a9e9a9c3
[ "MIT" ]
null
null
null
pysh/py_vm/py_statement.py
JordanKoeller/Pysch
6775db00e6d551328ce49a50a5987223a9e9a9c3
[ "MIT" ]
null
null
null
class PyStatement: def __init__(self, text: str): self._text = text
13
34
0.56044
10
91
4.6
0.7
0.347826
0
0
0
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0
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0
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0.351648
91
7
35
13
0.779661
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false
0
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0
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1
0
0
0
0
1
0
0
5
15853305ba14098016a245e176b9965757c66fab
90
py
Python
__init__.py
NullOsama/Integrals
3cff57c21f8307b7471173ba4c518a97efb100a8
[ "MIT" ]
1
2020-01-30T18:47:38.000Z
2020-01-30T18:47:38.000Z
__init__.py
NullOsama/Integrals
3cff57c21f8307b7471173ba4c518a97efb100a8
[ "MIT" ]
null
null
null
__init__.py
NullOsama/Integrals
3cff57c21f8307b7471173ba4c518a97efb100a8
[ "MIT" ]
null
null
null
from .simpson import Simpson from .trapezoid import Trapezoid from .riemann import Riemann
30
32
0.844444
12
90
6.333333
0.416667
0
0
0
0
0
0
0
0
0
0
0
0.122222
90
3
33
30
0.962025
0
0
0
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1
0
true
0
1
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1
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1
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0
null
0
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0
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0
0
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0
0
0
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1
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0
0
0
0
0
0
0
0
0
null
0
0
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0
0
0
1
0
1
0
1
0
0
5
158abfe3ca6a3cd1d4ae6647aa234a8a72b54106
80
py
Python
tracardi/process_engine/action/v1/internal/assign_profile_id/model/config.py
DawidekZagajnik/tracardi
979015b7b14cb87fb639efb1eee6537932319b61
[ "MIT" ]
153
2021-11-02T00:35:41.000Z
2022-03-25T16:37:44.000Z
tracardi/process_engine/action/v1/internal/assign_profile_id/model/config.py
DawidekZagajnik/tracardi
979015b7b14cb87fb639efb1eee6537932319b61
[ "MIT" ]
243
2021-10-17T17:00:22.000Z
2022-03-28T10:13:34.000Z
tracardi/process_engine/action/v1/internal/assign_profile_id/model/config.py
DawidekZagajnik/tracardi
979015b7b14cb87fb639efb1eee6537932319b61
[ "MIT" ]
14
2021-10-17T11:39:04.000Z
2022-03-14T14:44:02.000Z
from pydantic import BaseModel class Configuration(BaseModel): value: str
13.333333
31
0.775
9
80
6.888889
0.888889
0
0
0
0
0
0
0
0
0
0
0
0.175
80
5
32
16
0.939394
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.333333
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
159adfe7233c90feea27f5b3ecb2920b3f184c04
103
py
Python
djangocms_versioning_filer/plugins/file/__init__.py
webbyfox/djangocms-versioning-filer
75a2c00dac8607c4f365c3d40cd36e0da6908824
[ "BSD-3-Clause" ]
null
null
null
djangocms_versioning_filer/plugins/file/__init__.py
webbyfox/djangocms-versioning-filer
75a2c00dac8607c4f365c3d40cd36e0da6908824
[ "BSD-3-Clause" ]
10
2019-08-13T13:50:59.000Z
2022-03-11T13:00:05.000Z
djangocms_versioning_filer/plugins/file/__init__.py
webbyfox/djangocms-versioning-filer
75a2c00dac8607c4f365c3d40cd36e0da6908824
[ "BSD-3-Clause" ]
9
2018-09-28T12:43:27.000Z
2020-10-13T09:06:47.000Z
default_app_config = 'djangocms_versioning_filer.plugins.file.apps.FilerVersioningFilePluginAppConfig'
51.5
102
0.902913
10
103
8.9
1
0
0
0
0
0
0
0
0
0
0
0
0.029126
103
1
103
103
0.89
0
0
0
0
0
0.76699
0.76699
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
5
ec5e549ef0577088394f18e8d9313eb39094363f
248
py
Python
omniscient/structure/subgraph.py
Impavidity/Omniscient
4e51791739dc9c1b1399df42ff36e0920b4c1c5c
[ "Apache-2.0" ]
2
2018-11-14T05:29:52.000Z
2019-05-21T03:42:28.000Z
omniscient/structure/subgraph.py
Impavidity/Omniscient
4e51791739dc9c1b1399df42ff36e0920b4c1c5c
[ "Apache-2.0" ]
null
null
null
omniscient/structure/subgraph.py
Impavidity/Omniscient
4e51791739dc9c1b1399df42ff36e0920b4c1c5c
[ "Apache-2.0" ]
2
2019-08-08T00:41:26.000Z
2020-03-17T18:12:31.000Z
class Subgraph(object): """ """ def __init__(self, standpoint): """ Args: standpoint (Vertex) """ self.standpoint = standpoint def get_incoming_edges(self): return def get_outgoinig_edges(self): return
12.4
33
0.608871
25
248
5.72
0.56
0.195804
0.20979
0
0
0
0
0
0
0
0
0
0.270161
248
19
34
13.052632
0.790055
0.108871
0
0.285714
0
0
0
0
0
0
0
0
0
1
0.428571
false
0
0
0.285714
0.857143
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
5
ec7abe34acf1335f13e4f7b83852bb49272413fc
71
py
Python
streamlit/keys.py
Stefan-battistetti/Movie_recommender
1872acfe87564938367f719b2f33a834c28ff5ce
[ "MIT" ]
null
null
null
streamlit/keys.py
Stefan-battistetti/Movie_recommender
1872acfe87564938367f719b2f33a834c28ff5ce
[ "MIT" ]
null
null
null
streamlit/keys.py
Stefan-battistetti/Movie_recommender
1872acfe87564938367f719b2f33a834c28ff5ce
[ "MIT" ]
null
null
null
OPENAI_API_KEY = "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"
35.5
70
0.901408
5
71
12.4
1
0
0
0
0
0
0
0
0
0
0
0.161765
0.042254
71
1
71
71
0.75
0
0
0
0
0
0.71831
0.71831
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
5
ec8c36805a144cda7ff220a314332ac594184ccd
220
py
Python
employee/admin.py
somkiet073/LeaveManagement
753c6497bb1094deb86809135b25e558d4912700
[ "MIT" ]
null
null
null
employee/admin.py
somkiet073/LeaveManagement
753c6497bb1094deb86809135b25e558d4912700
[ "MIT" ]
null
null
null
employee/admin.py
somkiet073/LeaveManagement
753c6497bb1094deb86809135b25e558d4912700
[ "MIT" ]
null
null
null
from django.contrib import admin from employee.models import Profile, Department, AppoveGroup # Register your models here. admin.site.register(Profile) admin.site.register(Department) admin.site.register(AppoveGroup)
22
60
0.822727
28
220
6.464286
0.5
0.149171
0.281768
0
0
0
0
0
0
0
0
0
0.095455
220
9
61
24.444444
0.909548
0.118182
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.4
0
0.4
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
5
ecded5ba81d47815dafa33a7e9df5e8e807635df
146
py
Python
models/__init__.py
Kdc23/video-caption-pytorch
8d1aceb6455ffa6873c8081ef45430fce8eadfd9
[ "MIT" ]
371
2018-01-14T11:03:16.000Z
2022-03-11T02:13:34.000Z
models/__init__.py
Kdc23/video-caption-pytorch
8d1aceb6455ffa6873c8081ef45430fce8eadfd9
[ "MIT" ]
46
2018-01-17T06:03:19.000Z
2021-11-16T13:42:27.000Z
models/__init__.py
Kdc23/video-caption-pytorch
8d1aceb6455ffa6873c8081ef45430fce8eadfd9
[ "MIT" ]
126
2018-01-16T12:16:29.000Z
2022-03-11T03:10:15.000Z
from .EncoderRNN import EncoderRNN from .DecoderRNN import DecoderRNN from .S2VTAttModel import S2VTAttModel from .S2VTModel import S2VTModel
29.2
39
0.835616
16
146
7.625
0.375
0
0
0
0
0
0
0
0
0
0
0.031746
0.136986
146
4
40
36.5
0.936508
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
bf1eedbcecfe157b85810266831967228f18928f
21
py
Python
Projetos Python/curso/fhyg.py
Moyses-Nunes/Projetos-Python
71ae170fb0d7be6afea18608bca630b57b9f0dff
[ "MIT" ]
null
null
null
Projetos Python/curso/fhyg.py
Moyses-Nunes/Projetos-Python
71ae170fb0d7be6afea18608bca630b57b9f0dff
[ "MIT" ]
null
null
null
Projetos Python/curso/fhyg.py
Moyses-Nunes/Projetos-Python
71ae170fb0d7be6afea18608bca630b57b9f0dff
[ "MIT" ]
null
null
null
print('olá, mundo!')
10.5
20
0.619048
3
21
4.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.095238
21
1
21
21
0.684211
0
0
0
0
0
0.52381
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
5
bf1fa0146a4db89c4dd88716e0c612b91ff9fd16
73
py
Python
awssimplemfa/__init__.py
kenshin54/aws-simple-mfa
42fbec04d5b2b4b50306f1f7a99d965ce6bb9268
[ "MIT" ]
3
2020-01-20T01:11:51.000Z
2020-01-20T09:23:53.000Z
awssimplemfa/__init__.py
kenshin54/aws-simple-mfa
42fbec04d5b2b4b50306f1f7a99d965ce6bb9268
[ "MIT" ]
null
null
null
awssimplemfa/__init__.py
kenshin54/aws-simple-mfa
42fbec04d5b2b4b50306f1f7a99d965ce6bb9268
[ "MIT" ]
null
null
null
from . import patcher def awscli_initialize(cli): patcher.patch()
10.428571
27
0.712329
9
73
5.666667
0.888889
0
0
0
0
0
0
0
0
0
0
0
0.191781
73
6
28
12.166667
0.864407
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
0
1
0
0
5
bf334b424b8d1c13f87ca93b7ce0aa9c4d23291e
58
py
Python
src/generic_neural_network/__init__.py
obin1000/Tensorflow_Generic_Neural_Network
60d59e2b4cd77282bb29fd298ce8f55d10450dc5
[ "MIT" ]
null
null
null
src/generic_neural_network/__init__.py
obin1000/Tensorflow_Generic_Neural_Network
60d59e2b4cd77282bb29fd298ce8f55d10450dc5
[ "MIT" ]
null
null
null
src/generic_neural_network/__init__.py
obin1000/Tensorflow_Generic_Neural_Network
60d59e2b4cd77282bb29fd298ce8f55d10450dc5
[ "MIT" ]
null
null
null
from .dataset import Dataset from .learner import Learner
19.333333
28
0.827586
8
58
6
0.5
0
0
0
0
0
0
0
0
0
0
0
0.137931
58
2
29
29
0.96
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
5
1758c0b310dc3ae35252664d0d618a00f3ae7fbb
69
py
Python
onegroup.py
OliverJ20/OneGroup
218750ccbbabf58c5164cce538c1589f0dbdf626
[ "MIT", "BSD-3-Clause" ]
null
null
null
onegroup.py
OliverJ20/OneGroup
218750ccbbabf58c5164cce538c1589f0dbdf626
[ "MIT", "BSD-3-Clause" ]
null
null
null
onegroup.py
OliverJ20/OneGroup
218750ccbbabf58c5164cce538c1589f0dbdf626
[ "MIT", "BSD-3-Clause" ]
null
null
null
#!/usr/bin/python3 from onegroup.app import run_server run_server()
13.8
35
0.782609
11
69
4.727273
0.818182
0.346154
0
0
0
0
0
0
0
0
0
0.016129
0.101449
69
4
36
17.25
0.822581
0.246377
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
5