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 | max_forks_repo_head_hexsha
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5aae793749131e5c12149cc30b15c354c2140860
| 265
|
py
|
Python
|
kube/tools/repr.py
|
nearmap/kubefs
|
e2f6c019f04e436d031874e40c59ba0ee61d8c58
|
[
"MIT"
] | 3
|
2021-05-31T06:45:37.000Z
|
2021-10-05T22:36:37.000Z
|
kube/tools/repr.py
|
nearmap/kubefs
|
e2f6c019f04e436d031874e40c59ba0ee61d8c58
|
[
"MIT"
] | 8
|
2021-09-06T00:43:13.000Z
|
2021-10-01T00:22:53.000Z
|
kube/tools/repr.py
|
nearmap/kubefs
|
e2f6c019f04e436d031874e40c59ba0ee61d8c58
|
[
"MIT"
] | null | null | null |
from typing import Optional
def disp_secret_string(input: Optional[str]) -> str:
return "SET" if input is not None else "UNSET"
def disp_secret_blob(input: Optional[str]) -> Optional[str]:
return "[%s bytes]" % len(input) if input is not None else None
| 26.5
| 67
| 0.709434
| 42
| 265
| 4.380952
| 0.52381
| 0.179348
| 0.141304
| 0.130435
| 0.217391
| 0.217391
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177358
| 265
| 9
| 68
| 29.444444
| 0.844037
| 0
| 0
| 0
| 0
| 0
| 0.067925
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| 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
| 0
| 1
| 1
| 0
|
0
| 4
|
5ac2489e789ff4fae4cc856732e30990d4a2204f
| 7,790
|
py
|
Python
|
test/programytest/config/brain/test_dynamic.py
|
cdoebler1/AIML2
|
ee692ec5ea3794cd1bc4cc8ec2a6b5e5c20a0d6a
|
[
"MIT"
] | 345
|
2016-11-23T22:37:04.000Z
|
2022-03-30T20:44:44.000Z
|
test/programytest/config/brain/test_dynamic.py
|
MikeyBeez/program-y
|
00d7a0c7d50062f18f0ab6f4a041068e119ef7f0
|
[
"MIT"
] | 275
|
2016-12-07T10:30:28.000Z
|
2022-02-08T21:28:33.000Z
|
test/programytest/config/brain/test_dynamic.py
|
VProgramMist/modified-program-y
|
f32efcafafd773683b3fe30054d5485fe9002b7d
|
[
"MIT"
] | 159
|
2016-11-28T18:59:30.000Z
|
2022-03-20T18:02:44.000Z
|
import unittest
from programy.clients.events.console.config import ConsoleConfiguration
from programy.config.brain.dynamic import BrainDynamicsConfiguration
from programy.config.file.yaml_file import YamlConfigurationFile
class BrainDynamicsConfigurationTests(unittest.TestCase):
def test_with_data(self):
yaml = YamlConfigurationFile()
self.assertIsNotNone(yaml)
yaml.load_from_text("""
brain:
dynamic:
variables:
gettime: programy.dynamic.variables.datetime.GetTime
sets:
number: programy.dynamic.sets.numeric.IsNumeric
roman: programy.dynamic.sets.roman.IsRomanNumeral
maps:
romantodec: programy.dynamic.maps.roman.MapRomanToDecimal
dectoroman: programy.dynamic.maps.roman.MapDecimalToRoman
""", ConsoleConfiguration(), ".")
brain_config = yaml.get_section("brain")
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.load_config_section(yaml, brain_config, ".")
self.assertEquals({'GETTIME': 'programy.dynamic.variables.datetime.GetTime'}, dynamic_config.dynamic_vars)
self.assertEquals({'NUMBER': 'programy.dynamic.sets.numeric.IsNumeric', 'ROMAN': 'programy.dynamic.sets.roman.IsRomanNumeral'}, dynamic_config.dynamic_sets)
self.assertEquals({'ROMANTODEC': 'programy.dynamic.maps.roman.MapRomanToDecimal', 'DECTOROMAN': 'programy.dynamic.maps.roman.MapDecimalToRoman'}, dynamic_config.dynamic_maps)
def test_with_missing_vars_sets_maps(self):
yaml = YamlConfigurationFile()
self.assertIsNotNone(yaml)
yaml.load_from_text("""
brain:
dynamic:
""", ConsoleConfiguration(), ".")
brain_config = yaml.get_section("brain")
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.load_config_section(yaml, brain_config, ".")
self.assertEquals({}, dynamic_config.dynamic_vars)
self.assertEquals({}, dynamic_config.dynamic_sets)
self.assertEquals({}, dynamic_config.dynamic_maps)
def test_with_missing_vars_sets_maps2(self):
yaml = YamlConfigurationFile()
self.assertIsNotNone(yaml)
yaml.load_from_text("""
brain:
dynamic:
something: else
""", ConsoleConfiguration(), ".")
brain_config = yaml.get_section("brain")
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.load_config_section(yaml, brain_config, ".")
self.assertEquals({}, dynamic_config.dynamic_vars)
self.assertEquals({}, dynamic_config.dynamic_sets)
self.assertEquals({}, dynamic_config.dynamic_maps)
def test_without_data(self):
yaml = YamlConfigurationFile()
self.assertIsNotNone(yaml)
yaml.load_from_text("""
brain:
dynamic:
""", ConsoleConfiguration(), ".")
brain_config = yaml.get_section("brain")
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.load_config_section(yaml, brain_config, ".")
self.assertEquals({}, dynamic_config.dynamic_vars)
self.assertEquals({}, dynamic_config.dynamic_sets)
self.assertEquals({}, dynamic_config.dynamic_maps)
def test_with_no_data(self):
yaml = YamlConfigurationFile()
self.assertIsNotNone(yaml)
yaml.load_from_text("""
brain:
""", ConsoleConfiguration(), ".")
brain_config = yaml.get_section("brain")
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.load_config_section(yaml, brain_config, ".")
self.assertEquals({}, dynamic_config.dynamic_vars)
self.assertEquals({}, dynamic_config.dynamic_sets)
self.assertEquals({}, dynamic_config.dynamic_maps)
def test_to_yaml_defaults(self):
yaml = {}
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.to_yaml(yaml, defaults=True)
self.assertEquals({'GETTIME': 'programy.dynamic.variables.datetime.GetTime'}, yaml['variables'])
self.assertEquals({'NUMBER': 'programy.dynamic.sets.numeric.IsNumeric',
'ROMAN': 'programy.dynamic.sets.roman.IsRomanNumeral',
'STOPWORD': 'programy.dynamic.sets.stopword.IsStopWord',
'SYNSETS': 'programy.dynamic.sets.synsets.IsSynset'}, yaml['sets'])
self.assertEquals({'ROMANTODDEC': 'programy.dynamic.maps.roman.MapRomanToDecimal',
'DECTOROMAN': 'programy.dynamic.maps.roman.MapDecimalToRoman',
'LEMMATIZE': 'programy.dynamic.maps.lemmatize.LemmatizeMap',
'STEMMER': 'programy.dynamic.maps.stemmer.StemmerMap'}, yaml['maps'])
def test_to_yaml_no_defaults(self):
yaml = YamlConfigurationFile()
self.assertIsNotNone(yaml)
yaml.load_from_text("""
brain:
dynamic:
variables:
gettime: programy.dynamic.variables.datetime.GetTime
sets:
number: programy.dynamic.sets.numeric.IsNumeric
roman: programy.dynamic.sets.roman.IsRomanNumeral
maps:
romantodec: programy.dynamic.maps.roman.MapRomanToDecimal
dectoroman: programy.dynamic.maps.roman.MapDecimalToRoman
""", ConsoleConfiguration(), ".")
brain_config = yaml.get_section("brain")
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.load_config_section(yaml, brain_config, ".")
data = {}
dynamic_config.to_yaml(data, defaults=False)
self.assertEquals({'GETTIME': 'programy.dynamic.variables.datetime.GetTime'}, data['variables'])
self.assertEquals({'NUMBER': 'programy.dynamic.sets.numeric.IsNumeric', 'ROMAN': 'programy.dynamic.sets.roman.IsRomanNumeral'}, data['sets'])
self.assertEquals({'ROMANTODEC': 'programy.dynamic.maps.roman.MapRomanToDecimal', 'DECTOROMAN': 'programy.dynamic.maps.roman.MapDecimalToRoman'}, data['maps'])
def test_to_yaml_no_defaults_no_data(self):
yaml = {}
dynamic_config = BrainDynamicsConfiguration()
dynamic_config.to_yaml(yaml, defaults=False)
self.assertEquals({}, yaml['variables'])
self.assertEquals({}, yaml['sets'])
self.assertEquals({}, yaml['maps'])
def test_defaults(self):
dynamic_config = BrainDynamicsConfiguration()
data = {}
dynamic_config.to_yaml(data, True)
BrainDynamicsConfigurationTests.assert_defaults(self, data)
@staticmethod
def assert_defaults(test, data):
test.assertTrue('sets' in data)
test.assertEqual(data['sets']['NUMBER'], 'programy.dynamic.sets.numeric.IsNumeric')
test.assertEqual(data['sets']['ROMAN'], 'programy.dynamic.sets.roman.IsRomanNumeral')
test.assertEqual(data['sets']['STOPWORD'], 'programy.dynamic.sets.stopword.IsStopWord')
test.assertEqual(data['sets']['SYNSETS'], 'programy.dynamic.sets.synsets.IsSynset')
test.assertTrue('maps' in data)
test.assertEqual(data['maps']['ROMANTODDEC'], 'programy.dynamic.maps.roman.MapRomanToDecimal')
test.assertEqual(data['maps']['DECTOROMAN'], 'programy.dynamic.maps.roman.MapDecimalToRoman')
test.assertEqual(data['maps']['LEMMATIZE'], 'programy.dynamic.maps.lemmatize.LemmatizeMap')
test.assertEqual(data['maps']['STEMMER'], 'programy.dynamic.maps.stemmer.StemmerMap')
test.assertTrue('variables' in data)
test.assertEqual(data['variables']['GETTIME'], 'programy.dynamic.variables.datetime.GetTime')
| 43.764045
| 182
| 0.65982
| 724
| 7,790
| 6.921271
| 0.093923
| 0.11375
| 0.060667
| 0.057474
| 0.840152
| 0.823987
| 0.702055
| 0.671323
| 0.637398
| 0.637398
| 0
| 0.000164
| 0.21887
| 7,790
| 177
| 183
| 44.011299
| 0.823336
| 0
| 0
| 0.628571
| 0
| 0
| 0.347882
| 0.206675
| 0
| 0
| 0
| 0
| 0.314286
| 1
| 0.071429
| false
| 0
| 0.028571
| 0
| 0.107143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5ad49b87e51964d8f082cd0185a9557623d86a5c
| 2,252
|
py
|
Python
|
website/tantalus/forms.py
|
KiOui/TOSTI
|
72e65889c193727dcf3e3716b10c78a9774e1136
|
[
"MIT"
] | 1
|
2020-05-10T21:10:43.000Z
|
2020-05-10T21:10:43.000Z
|
website/tantalus/forms.py
|
KiOui/TOSTI
|
72e65889c193727dcf3e3716b10c78a9774e1136
|
[
"MIT"
] | 158
|
2020-05-04T12:37:41.000Z
|
2022-03-31T20:15:07.000Z
|
website/tantalus/forms.py
|
KiOui/TOSTI
|
72e65889c193727dcf3e3716b10c78a9774e1136
|
[
"MIT"
] | null | null | null |
import logging
from django import forms
from tantalus.services import get_tantalus_client, TantalusException
class TantalusProductAdminForm(forms.ModelForm):
"""Tantalus Product Admin Form."""
tantalus_id = forms.ChoiceField(required=True)
def __init__(self, *args, **kwargs):
"""Initialize Tantalus Product Admin Form by getting product data from Tantalus."""
super(TantalusProductAdminForm, self).__init__(*args, **kwargs)
try:
tantalus_client = get_tantalus_client()
choices = [(x["id"], x["name"]) for x in tantalus_client.get_products()]
self.fields["tantalus_id"].choices = choices
except TantalusException as e:
logging.error(
"The following Exception occurred while trying to access Tantalus on the administration "
"dashboard: {}".format(e)
)
self.fields["tantalus_id"] = forms.IntegerField(
min_value=1,
help_text="Could not retrieve data from Tantalus, you are still able to enter the Tantalus id "
"yourself. Check the logs for more information.",
)
class TantalusOrderVenueAdminForm(forms.ModelForm):
"""Tantalus Order Venue Admin Form."""
endpoint_id = forms.ChoiceField(required=True)
def __init__(self, *args, **kwargs):
"""Initialize Tantalus Product Admin Form by getting product data from Tantalus."""
super(TantalusOrderVenueAdminForm, self).__init__(*args, **kwargs)
try:
tantalus_client = get_tantalus_client()
choices = [(x["id"], x["name"]) for x in tantalus_client.get_endpoints()]
self.fields["endpoint_id"].choices = choices
except TantalusException as e:
logging.error(
"The following Exception occurred while trying to access Tantalus on the administration "
"dashboard: {}".format(e)
)
self.fields["endpoint_id"] = forms.IntegerField(
min_value=1,
help_text="Could not retrieve data from Tantalus, you are still able to enter the endpoint id "
"yourself. Check the logs for more information.",
)
| 41.703704
| 111
| 0.632327
| 243
| 2,252
| 5.703704
| 0.320988
| 0.070707
| 0.046176
| 0.051948
| 0.721501
| 0.721501
| 0.721501
| 0.721501
| 0.663781
| 0.663781
| 0
| 0.001225
| 0.275311
| 2,252
| 53
| 112
| 42.490566
| 0.848039
| 0.096359
| 0
| 0.461538
| 0
| 0
| 0.255214
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.051282
| false
| 0
| 0.076923
| 0
| 0.230769
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5aec84ebc1bf400dd4730adf8b547bbded54e3c5
| 419
|
py
|
Python
|
Day18-The_Hirst_Painting/data.py
|
the-whiz84/Python_Projects
|
35d6c3cef9b4d90e6cb7cbf1dd88de3a7fe5dd0c
|
[
"MIT"
] | 1
|
2022-01-05T10:54:06.000Z
|
2022-01-05T10:54:06.000Z
|
Day18-The_Hirst_Painting/data.py
|
the-whiz84/Python_Projects
|
35d6c3cef9b4d90e6cb7cbf1dd88de3a7fe5dd0c
|
[
"MIT"
] | null | null | null |
Day18-The_Hirst_Painting/data.py
|
the-whiz84/Python_Projects
|
35d6c3cef9b4d90e6cb7cbf1dd88de3a7fe5dd0c
|
[
"MIT"
] | null | null | null |
rgb_colors = [(202, 164, 110), (149, 75, 50), (222, 201, 136), (53, 93, 123), (170, 154, 41), (138, 31, 20), (134, 163, 184), (197, 92, 73), (47, 121, 86), (73, 43, 35), (145, 178, 149), (14, 98, 70), (232, 176, 165), (160, 142, 158), (54, 45, 50), (101, 75, 77), (183, 205, 171), (36, 60, 74), (19, 86, 89), (82, 148, 129), (147, 17, 19), (27, 68, 102), (12, 70, 64), (107, 127, 153), (176, 192, 208), (168, 99, 102)]
| 209.5
| 418
| 0.494033
| 80
| 419
| 2.575
| 0.8875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.581121
| 0.190931
| 419
| 1
| 419
| 419
| 0.026549
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8518f74d3611fe9bfed42079e2cabc20eddd4ee3
| 119
|
py
|
Python
|
apps/auth/models.py
|
dlooto/driver-vision
|
676256891971df1d5eee990be54fb31f485d0ae3
|
[
"MIT"
] | 2
|
2020-06-16T01:52:47.000Z
|
2021-03-24T08:34:23.000Z
|
apps/auth/models.py
|
dlooto/driver-vision
|
676256891971df1d5eee990be54fb31f485d0ae3
|
[
"MIT"
] | 2
|
2020-02-12T03:09:54.000Z
|
2020-06-05T22:47:17.000Z
|
apps/auth/models.py
|
dlooto/driver-vision
|
676256891971df1d5eee990be54fb31f485d0ae3
|
[
"MIT"
] | null | null | null |
#coding=utf-8
#
# Copyright (C) 2014 NianNian TECH Co., Ltd. All rights reserved.
# Created on Oct 19, 2015, by Junn
#
| 23.8
| 66
| 0.689076
| 20
| 119
| 4.1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.113402
| 0.184874
| 119
| 5
| 67
| 23.8
| 0.731959
| 0.92437
| 0
| null | 0
| null | 0
| 0
| null | 0
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| null | 1
| null | true
| 0
| 0
| null | null | null | 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
516eea6fc771ec9d647a7a08cc20018eb05108b6
| 150
|
py
|
Python
|
app/views/__init__.py
|
mrakzero/FlaskCMS
|
03ad35610befca1f45d5705f07cfb4794f9b2d3b
|
[
"MulanPSL-1.0"
] | 1
|
2022-03-31T03:57:45.000Z
|
2022-03-31T03:57:45.000Z
|
app/views/__init__.py
|
mrakzero/FlaskCMS
|
03ad35610befca1f45d5705f07cfb4794f9b2d3b
|
[
"MulanPSL-1.0"
] | null | null | null |
app/views/__init__.py
|
mrakzero/FlaskCMS
|
03ad35610befca1f45d5705f07cfb4794f9b2d3b
|
[
"MulanPSL-1.0"
] | null | null | null |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# File: __init__.py.py
# Version: v1.0.0
# Description:
# Author: Zhang Zhijun
# Date: 2021/8/9 21:38
| 18.75
| 23
| 0.626667
| 25
| 150
| 3.6
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112
| 0.166667
| 150
| 7
| 24
| 21.428571
| 0.608
| 0.906667
| 0
| null | 0
| null | 0
| 0
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| 0
| 0
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| null | true
| 0
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| null | null | null | 1
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| null | 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
51c3632680190f269603d8fefaf2d0c902f13307
| 270
|
py
|
Python
|
algorithms/etc.py
|
kupns-aka-kupa/alg_p_strc
|
e10f7c2e6295dcda65acdf1934919fe1d4a353da
|
[
"MIT"
] | null | null | null |
algorithms/etc.py
|
kupns-aka-kupa/alg_p_strc
|
e10f7c2e6295dcda65acdf1934919fe1d4a353da
|
[
"MIT"
] | null | null | null |
algorithms/etc.py
|
kupns-aka-kupa/alg_p_strc
|
e10f7c2e6295dcda65acdf1934919fe1d4a353da
|
[
"MIT"
] | null | null | null |
def xor_reverse(iterable):
lenght = len(iterable)
i = 0
while i < lenght // 2:
iterable[i] ^= iterable[lenght - i - 1]
iterable[lenght - i - 1] ^= iterable[i]
iterable[i] ^= iterable[lenght - i - 1]
i += 1
return iterable
| 27
| 47
| 0.537037
| 35
| 270
| 4.114286
| 0.342857
| 0.388889
| 0.354167
| 0.333333
| 0.513889
| 0.347222
| 0
| 0
| 0
| 0
| 0
| 0.032967
| 0.325926
| 270
| 9
| 48
| 30
| 0.758242
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
51d0b67edc10125f1d1a43872b5f40879c483ac4
| 152
|
py
|
Python
|
syft/frameworks/torch/tensors/__init__.py
|
amitkarn3/PythnSyft
|
8eaa637e1ca54c963281e847556cb14b4a76b46b
|
[
"Apache-1.1"
] | 1
|
2021-07-01T18:22:11.000Z
|
2021-07-01T18:22:11.000Z
|
syft/frameworks/torch/tensors/__init__.py
|
mukira/PySyft
|
94595008e8326d3111406ae143099b311fc3f2e6
|
[
"Apache-2.0"
] | 1
|
2019-06-05T14:19:07.000Z
|
2019-06-05T14:19:07.000Z
|
syft/frameworks/torch/tensors/__init__.py
|
mukira/PySyft
|
94595008e8326d3111406ae143099b311fc3f2e6
|
[
"Apache-2.0"
] | 1
|
2021-02-12T12:11:44.000Z
|
2021-02-12T12:11:44.000Z
|
# Do not change the import sequence it can cause deadlock
from . import interpreters
from . import decorators
__all__ = ["decorators", "interpreters"]
| 25.333333
| 57
| 0.769737
| 19
| 152
| 5.947368
| 0.736842
| 0.176991
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 152
| 5
| 58
| 30.4
| 0.882813
| 0.361842
| 0
| 0
| 0
| 0
| 0.231579
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
51d45cf09054c416e96c4863ddfd2d5f622336cb
| 114
|
py
|
Python
|
titan/components/customizes/test.py
|
DeSireFire/titans
|
9194950694084a7cbc6434dfec0ecb2e755f0cdf
|
[
"Apache-2.0"
] | 17
|
2020-03-14T01:08:07.000Z
|
2020-12-26T08:20:14.000Z
|
titan/components/customizes/test.py
|
DeSireFire/titans
|
9194950694084a7cbc6434dfec0ecb2e755f0cdf
|
[
"Apache-2.0"
] | 4
|
2020-12-05T08:50:55.000Z
|
2022-02-27T06:48:21.000Z
|
titan/components/customizes/test.py
|
DeSireFire/titans
|
9194950694084a7cbc6434dfec0ecb2e755f0cdf
|
[
"Apache-2.0"
] | 1
|
2020-05-24T06:57:03.000Z
|
2020-05-24T06:57:03.000Z
|
from titan.components import Base
class Test(Base):
@staticmethod
def default():
print("test")
| 12.666667
| 33
| 0.640351
| 13
| 114
| 5.615385
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.254386
| 114
| 8
| 34
| 14.25
| 0.858824
| 0
| 0
| 0
| 0
| 0
| 0.035088
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.2
| 0
| 0.6
| 0.2
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
a405c2663ddd2f594225a8baf7e7262566708aa1
| 135
|
py
|
Python
|
debug/vis.py
|
arpit196/multihead-siamese-nets
|
328bd29abc6011fd39f6eae30313babd550aa3d5
|
[
"MIT"
] | 2
|
2019-05-24T08:52:02.000Z
|
2022-01-10T21:38:08.000Z
|
debug/vis.py
|
arpit196/multihead-siamese-nets
|
328bd29abc6011fd39f6eae30313babd550aa3d5
|
[
"MIT"
] | 10
|
2020-01-28T22:06:21.000Z
|
2022-02-10T00:16:53.000Z
|
debug/vis.py
|
warisqr007/ConvSANN
|
0cede14601ce1a62bd58abf92a04ad3d7cc3be99
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
import seaborn as sns
def attention_visualization(att):
sns.heatmap(att[0, :, :])
plt.show()
| 16.875
| 33
| 0.703704
| 19
| 135
| 4.947368
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009009
| 0.177778
| 135
| 7
| 34
| 19.285714
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.6
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
cf9918d07c426c0c04713411e8bdb6f09a77713e
| 9,607
|
py
|
Python
|
tests/test_transfertree.py
|
atiqm/adapt
|
af9833cb7e698bdcb722941622d67c06f04822f7
|
[
"BSD-2-Clause"
] | null | null | null |
tests/test_transfertree.py
|
atiqm/adapt
|
af9833cb7e698bdcb722941622d67c06f04822f7
|
[
"BSD-2-Clause"
] | null | null | null |
tests/test_transfertree.py
|
atiqm/adapt
|
af9833cb7e698bdcb722941622d67c06f04822f7
|
[
"BSD-2-Clause"
] | null | null | null |
import copy
import numpy as np
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from adapt.parameter_based import TransferTreeClassifier, TransferForestClassifier
methods = [
'relab',
'ser',
'strut',
'ser_nr',
'ser_no_ext',
'ser_nr_lambda',
'strut_nd',
'strut_lambda',
'strut_np'
'strut_lambda_np',
'strut_lambda_np2'
# 'strut_hi'
]
def test_transfer_tree():
np.random.seed(0)
# Generate training source data
ns = 200
ns_perclass = ns // 2
mean_1 = (1, 1)
var_1 = np.diag([1, 1])
mean_2 = (3, 3)
var_2 = np.diag([2, 2])
Xs = np.r_[np.random.multivariate_normal(mean_1, var_1, size=ns_perclass),
np.random.multivariate_normal(mean_2, var_2, size=ns_perclass)]
ys = np.zeros(ns)
ys[ns_perclass:] = 1
# Generate training target data
nt = 50
# imbalanced
nt_0 = nt // 10
mean_1 = (6, 3)
var_1 = np.diag([4, 1])
mean_2 = (5, 5)
var_2 = np.diag([1, 3])
Xt = np.r_[np.random.multivariate_normal(mean_1, var_1, size=nt_0),
np.random.multivariate_normal(mean_2, var_2, size=nt - nt_0)]
yt = np.zeros(nt)
yt[nt_0:] = 1
# Generate testing target data
nt_test = 1000
nt_test_perclass = nt_test // 2
Xt_test = np.r_[np.random.multivariate_normal(mean_1, var_1, size=nt_test_perclass),
np.random.multivariate_normal(mean_2, var_2, size=nt_test_perclass)]
yt_test = np.zeros(nt_test)
yt_test[nt_test_perclass:] = 1
# Source classifier
RF_SIZE = 10
clf_source_dt = DecisionTreeClassifier(max_depth=None)
clf_source_rf = RandomForestClassifier(n_estimators=RF_SIZE)
clf_source_dt.fit(Xs, ys)
clf_source_rf.fit(Xs, ys)
#score_src_src = clf_source.score(Xs, ys)
#score_src_trgt = clf_source.score(Xt_test, yt_test)
#print('Training score Source model: {:.3f}'.format(score_src_src))
#print('Testing score Source model: {:.3f}'.format(score_src_trgt))
clfs = []
scores = []
# Transfer with SER
#clf_transfer = copy.deepcopy(clf_source)
#transferred_dt = TransferTreeClassifier(estimator=clf_transfer,Xt=Xt,yt=yt)
for method in methods:
Nkmin = sum(yt == 0 )
root_source_values = clf_source_dt.tree_.value[0].reshape(-1)
props_s = root_source_values
props_s = props_s / sum(props_s)
props_t = np.zeros(props_s.size)
for k in range(props_s.size):
props_t[k] = np.sum(yt == k) / yt.size
coeffs = np.divide(props_t, props_s)
clf_transfer_dt = copy.deepcopy(clf_source_dt)
clf_transfer_rf = copy.deepcopy(clf_source_rf)
if method == 'relab':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="")
transferred_dt.fit(Xt,yt)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="",bootstrap=True)
transferred_rf.fit(Xt,yt)
if method == 'ser':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt.set_params(max_depth=10),algo="ser")
transferred_dt.fit(Xt,yt)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="ser")
transferred_rf.fit(Xt,yt)
if method == 'ser_nr':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="ser")
transferred_dt._ser(Xt, yt,node=0,original_ser=False,no_red_on_cl=True,cl_no_red=[0])
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="ser")
transferred_rf._ser_rf(Xt, yt,original_ser=False,no_red_on_cl=True,cl_no_red=[0])
if method == 'ser_no_ext':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="ser")
transferred_dt._ser(Xt, yt,node=0,original_ser=False,no_ext_on_cl=True,cl_no_ext=[0],ext_cond=True)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="ser")
transferred_rf._ser_rf(Xt, yt,original_ser=False,no_ext_on_cl=True,cl_no_ext=[0],ext_cond=True)
if method == 'ser_nr_lambda':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="ser")
transferred_dt._ser(Xt, yt,node=0,original_ser=False,no_red_on_cl=True,cl_no_red=[0],
leaf_loss_quantify=True,leaf_loss_threshold=0.5,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="ser")
transferred_rf._ser_rf(Xt, yt,original_ser=False,no_red_on_cl=True,cl_no_red=[0],
leaf_loss_quantify=True,leaf_loss_threshold=0.5,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
if method == 'strut':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="strut")
transferred_dt.fit(Xt,yt)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="strut")
transferred_rf.fit(Xt,yt)
if method == 'strut_nd':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="strut")
transferred_dt._strut(Xt, yt,node=0,use_divergence=False)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="strut")
transferred_rf._strut_rf(Xt, yt,use_divergence=False)
if method == 'strut_lambda':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="strut")
transferred_dt._strut(Xt, yt,node=0,adapt_prop=True,root_source_values=root_source_values,
Nkmin=Nkmin,coeffs=coeffs)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="strut")
transferred_rf._strut_rf(Xt, yt,adapt_prop=True,root_source_values=root_source_values,
Nkmin=Nkmin,coeffs=coeffs)
if method == 'strut_np':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="strut")
transferred_dt._strut(Xt, yt,node=0,adapt_prop=False,no_prune_on_cl=True,cl_no_prune=[0],
leaf_loss_quantify=False,leaf_loss_threshold=0.5,no_prune_with_translation=False,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="strut")
transferred_rf._strut_rf(Xt, yt,adapt_prop=False,no_prune_on_cl=True,cl_no_prune=[0],
leaf_loss_quantify=False,leaf_loss_threshold=0.5,no_prune_with_translation=False,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
if method == 'strut_lambda_np':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="strut")
transferred_dt._strut(Xt, yt,node=0,adapt_prop=False,no_prune_on_cl=True,cl_no_prune=[0],
leaf_loss_quantify=False,leaf_loss_threshold=0.5,no_prune_with_translation=False,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="strut")
transferred_rf._strut_rf(Xt, yt,adapt_prop=True,no_prune_on_cl=True,cl_no_prune=[0],
leaf_loss_quantify=True,leaf_loss_threshold=0.5,no_prune_with_translation=False,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
if method == 'strut_lambda_np2':
#decision tree
transferred_dt = TransferTreeClassifier(estimator=clf_transfer_dt,algo="strut")
transferred_dt._strut(Xt, yt,node=0,adapt_prop=False,no_prune_on_cl=True,cl_no_prune=[0],
leaf_loss_quantify=False,leaf_loss_threshold=0.5,no_prune_with_translation=False,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
#random forest
transferred_rf = TransferForestClassifier(estimator=clf_transfer_rf,algo="strut")
transferred_rf._strut_rf(Xt, yt,adapt_prop=True,no_prune_on_cl=True,cl_no_prune=[0],
leaf_loss_quantify=True,leaf_loss_threshold=0.5,no_prune_with_translation=True,
root_source_values=root_source_values,Nkmin=Nkmin,coeffs=coeffs)
score = transferred_dt.estimator.score(Xt_test, yt_test)
#score = clf_transfer.score(Xt_test, yt_test)
print('Testing score transferred model ({}) : {:.3f}'.format(method, score))
clfs.append(transferred_dt.estimator)
#clfs.append(clf_transfer)
scores.append(score)
| 50.298429
| 114
| 0.652545
| 1,234
| 9,607
| 4.73825
| 0.104538
| 0.052677
| 0.078673
| 0.090303
| 0.734907
| 0.731999
| 0.715068
| 0.701556
| 0.693176
| 0.681375
| 0
| 0.014561
| 0.249401
| 9,607
| 191
| 115
| 50.298429
| 0.796283
| 0.087332
| 0
| 0.326241
| 0
| 0
| 0.037924
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007092
| false
| 0
| 0.035461
| 0
| 0.042553
| 0.007092
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cfa5fb84a168cd5549d5b4a34b8799e8cc2a103c
| 60
|
py
|
Python
|
tests/__init__.py
|
vooon/hass-radiacode
|
c1bdc0211a5a8eac368a192377fbdf77cad95fe8
|
[
"MIT"
] | 4
|
2021-12-31T23:50:40.000Z
|
2022-03-22T10:27:29.000Z
|
tests/__init__.py
|
vooon/hass-radiacode
|
c1bdc0211a5a8eac368a192377fbdf77cad95fe8
|
[
"MIT"
] | 5
|
2021-12-17T02:20:31.000Z
|
2022-02-28T02:30:08.000Z
|
tests/__init__.py
|
vooon/hass-radiacode
|
c1bdc0211a5a8eac368a192377fbdf77cad95fe8
|
[
"MIT"
] | 2
|
2022-01-15T02:33:46.000Z
|
2022-03-17T05:31:31.000Z
|
"""Tests for RadiaCode 101 sensor component integration."""
| 30
| 59
| 0.766667
| 7
| 60
| 6.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056604
| 0.116667
| 60
| 1
| 60
| 60
| 0.811321
| 0.883333
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cfa9479031a99ce5275e837310711a9d4444c9a2
| 174
|
py
|
Python
|
django_doctest_tests/src/urls.py
|
michilu/django-doctest
|
b7be9e7a621216877d193eafc983ace03aa43e03
|
[
"BSD-3-Clause"
] | null | null | null |
django_doctest_tests/src/urls.py
|
michilu/django-doctest
|
b7be9e7a621216877d193eafc983ace03aa43e03
|
[
"BSD-3-Clause"
] | null | null | null |
django_doctest_tests/src/urls.py
|
michilu/django-doctest
|
b7be9e7a621216877d193eafc983ace03aa43e03
|
[
"BSD-3-Clause"
] | null | null | null |
from django.conf.urls.defaults import *
import views
urlpatterns = patterns("",
(r'^render/(.*/)?', views.render),
(r'^use_template/(.*/)?', views.use_template),
)
| 19.333333
| 50
| 0.632184
| 20
| 174
| 5.4
| 0.65
| 0.203704
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 174
| 8
| 51
| 21.75
| 0.72
| 0
| 0
| 0
| 0
| 0
| 0.195402
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
cfb359a75fd23df18019205b11141a9fe3516090
| 8,979
|
py
|
Python
|
segeval/ml/test.py
|
cfournie/segmentation.evaluation
|
c4140b48112aac697aa7f05effe8026648ebc501
|
[
"BSD-3-Clause"
] | 27
|
2015-03-22T23:06:47.000Z
|
2022-01-21T23:21:05.000Z
|
segeval/ml/test.py
|
cfournie/segmentation.evaluation
|
c4140b48112aac697aa7f05effe8026648ebc501
|
[
"BSD-3-Clause"
] | 4
|
2015-03-12T18:27:08.000Z
|
2019-10-24T13:09:31.000Z
|
segeval/ml/test.py
|
cfournie/segmentation.evaluation
|
c4140b48112aac697aa7f05effe8026648ebc501
|
[
"BSD-3-Clause"
] | 7
|
2015-03-12T18:29:27.000Z
|
2019-01-25T08:52:05.000Z
|
'''
Tests the machine learning (ML) statistics functions, and ml package.
.. moduleauthor:: Chris Fournier <chris.m.fournier@gmail.com>
'''
from __future__ import absolute_import
import unittest
from decimal import Decimal
from segeval.ml import (
__precision__, precision, __recall__, recall, __fmeasure__,
fmeasure, ConfusionMatrix as cm, Average)
from segeval.util import SegmentationMetricError
class TestConfusionMatrix(unittest.TestCase):
'''
Confusion matrix tests.
'''
def test_matrix_set_add(self):
'''
Test matrix.
'''
matrix = cm()
matrix['p']['p'] += 2
matrix['p']['n'] = 3
self.assertEqual(matrix['p']['p'], 2)
self.assertEqual(matrix['p']['n'], 3)
self.assertEqual(matrix['p']['f'], 0)
self.assertEqual(matrix['a']['b'], 0)
def test_setitem(self):
'''
Ensure that __setitem__ raises an AttributeError
'''
exception = False
matrix = cm()
try:
matrix['a'] = 0
except AttributeError:
exception = True
self.assertTrue(exception, 'AttributeError not raised')
def test_matrix_classes(self):
'''
Test matrix.
'''
matrix = cm()
matrix['p']['p'] += 2
matrix['p']['n'] = 3
self.assertEqual(matrix['p']['p'], 2)
self.assertEqual(matrix['p']['n'], 3)
self.assertEqual(matrix['p']['f'], 0)
self.assertEqual(matrix['a']['b'], 0)
self.assertEqual(matrix.classes(), set(['p', 'n', 'a', 'b', 'f']))
class TestML(unittest.TestCase):
'''
Machine-learning metric tests.
'''
def test_precision(self):
'''
Test precision.
'''
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 1
self.assertEqual(__precision__(matrix, 'p'), Decimal('0.5'))
self.assertEqual(__precision__(matrix, 'f'), Decimal('0'))
self.assertEqual(
precision(matrix, version=Average.micro), Decimal('0.5'))
self.assertEqual(
precision(matrix, version=Average.macro), Decimal('0.25'))
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 3
matrix['f']['p'] += 1
self.assertEqual(
precision(matrix, version=Average.micro), Decimal('0.2'))
self.assertEqual(
precision(matrix, version=Average.macro), Decimal('0.125'))
self.assertEqual(__precision__(matrix, 'p'), Decimal('0.25'))
self.assertEqual(__precision__(matrix, 'f'), Decimal('0'))
matrix = cm()
matrix['p']['p'] += 5
matrix['p']['f'] += 2
matrix['f']['p'] += 1
matrix['f']['f'] += 2
self.assertEqual(
precision(matrix, version=Average.micro), Decimal('0.7'))
self.assertAlmostEqual(precision(matrix, version=Average.macro),
Decimal('0.69047'), 4)
self.assertAlmostEqual(__precision__(matrix, 'p'),
Decimal('0.71428'), 4)
self.assertAlmostEqual(__precision__(matrix, 'f'),
Decimal('0.66666'), 4)
matrix = cm()
matrix['p']['f'] += 2
self.assertEqual(precision(matrix), Decimal('0'))
self.assertEqual(__precision__(matrix, 'p'), Decimal('0'))
self.assertEqual(__precision__(matrix, 'f'), Decimal('0'))
matrix = cm()
matrix['p']['p'] += 2
self.assertEqual(precision(matrix), Decimal('1'))
self.assertEqual(__precision__(matrix, 'p'), Decimal('1'))
self.assertEqual(__precision__(matrix, 'f'), Decimal('0'))
matrix = cm()
self.assertEqual(precision(matrix), Decimal('0'))
self.assertEqual(__precision__(matrix, 'p'), Decimal('0'))
self.assertEqual(__precision__(matrix, 'f'), Decimal('0'))
def test_recall(self):
'''
Test recall.
'''
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 1
self.assertEqual(__recall__(matrix, 'p'), Decimal('1.0'))
self.assertEqual(__recall__(matrix, 'f'), Decimal('0'))
self.assertEqual(recall(matrix, version=Average.micro), Decimal('0.5'))
self.assertEqual(recall(matrix, version=Average.macro), Decimal('0.5'))
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 3
matrix['f']['p'] += 1
self.assertEqual(recall(matrix, version=Average.micro), Decimal('0.2'))
self.assertEqual(
recall(matrix, version=Average.macro), Decimal('0.25'))
self.assertEqual(__recall__(matrix, 'p'), Decimal('0.5'))
self.assertEqual(__recall__(matrix, 'f'), Decimal('0'))
matrix = cm()
matrix['p']['p'] += 5
matrix['p']['f'] += 2
matrix['f']['p'] += 1
matrix['f']['f'] += 2
self.assertEqual(recall(matrix, version=Average.micro), Decimal('0.7'))
self.assertAlmostEqual(recall(matrix, version=Average.macro),
Decimal('0.66666'), 4)
self.assertAlmostEqual(__recall__(matrix, 'p'),
Decimal('0.83333'), 4)
self.assertAlmostEqual(__recall__(matrix, 'f'),
Decimal('0.5'), 4)
matrix = cm()
matrix['p']['f'] += 2
self.assertEqual(recall(matrix), Decimal('0'))
self.assertEqual(__recall__(matrix, 'p'), Decimal('0'))
self.assertEqual(__recall__(matrix, 'f'), Decimal('0'))
matrix = cm()
matrix['p']['p'] += 2
self.assertEqual(recall(matrix), Decimal('1'))
self.assertEqual(__recall__(matrix, 'p'), Decimal('1'))
self.assertEqual(__recall__(matrix, 'f'), Decimal('0'))
matrix = cm()
self.assertEqual(recall(matrix), Decimal('0'))
self.assertEqual(__recall__(matrix, 'p'), Decimal('0'))
self.assertEqual(__recall__(matrix, 'f'), Decimal('0'))
def test_fmeasure(self):
'''
Test FMeasure.
'''
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 1
self.assertAlmostEqual(
__fmeasure__(matrix, 'p'), Decimal('0.66666'), 4)
self.assertEqual(__fmeasure__(matrix, 'f'), Decimal('0'))
self.assertAlmostEqual(fmeasure(matrix, version=Average.micro),
Decimal('0.66666'), 4)
self.assertAlmostEqual(fmeasure(matrix, version=Average.macro),
Decimal('0.33333'), 4)
self.assertAlmostEqual(fmeasure(matrix, classification='p'),
Decimal('0.66666'), 4)
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 3
matrix['f']['p'] += 1
self.assertAlmostEqual(fmeasure(matrix, version=Average.micro),
Decimal('0.33333'), 4)
self.assertAlmostEqual(fmeasure(matrix, version=Average.macro),
Decimal('0.16666'), 4)
self.assertAlmostEqual(__fmeasure__(matrix, 'p'),
Decimal('0.33333'), 4)
self.assertAlmostEqual(fmeasure(matrix, classification='p'),
Decimal('0.33333'), 4)
self.assertEqual(__fmeasure__(matrix, 'f'), Decimal('0'))
matrix = cm()
matrix['p']['p'] += 5
matrix['p']['f'] += 2
matrix['f']['p'] += 1
matrix['f']['f'] += 2
self.assertAlmostEqual(fmeasure(matrix, version=Average.micro),
Decimal('0.68421'), 4)
self.assertAlmostEqual(fmeasure(matrix, version=Average.macro),
Decimal('0.67032'), 4)
self.assertAlmostEqual(__fmeasure__(matrix, 'p'),
Decimal('0.76923'), 4)
self.assertAlmostEqual(__fmeasure__(matrix, 'f'),
Decimal('0.57142'), 4)
matrix = cm()
matrix['p']['f'] += 2
self.assertEqual(fmeasure(matrix), Decimal('0'))
self.assertEqual(__fmeasure__(matrix, 'p'), Decimal('0'))
self.assertEqual(__fmeasure__(matrix, 'f'), Decimal('0'))
matrix = cm()
matrix['p']['p'] += 2
self.assertEqual(fmeasure(matrix), Decimal('1'))
self.assertEqual(__fmeasure__(matrix, 'p'), Decimal('1'))
self.assertEqual(__fmeasure__(matrix, 'f'), Decimal('0'))
matrix = cm()
self.assertEqual(fmeasure(matrix), Decimal('0'))
self.assertEqual(__fmeasure__(matrix, 'p'), Decimal('0'))
self.assertEqual(__fmeasure__(matrix, 'f'), Decimal('0'))
def test_exception_on_incorrect_average(self):
'''
Test exception on incorrect average.
'''
matrix = cm()
matrix['p']['p'] += 1
matrix['p']['f'] += 1
self.assertRaises(
SegmentationMetricError, fmeasure, matrix, version='incorrect')
| 39.03913
| 79
| 0.538145
| 933
| 8,979
| 4.98821
| 0.097535
| 0.099699
| 0.054147
| 0.058015
| 0.816502
| 0.761066
| 0.726687
| 0.661367
| 0.609583
| 0.413623
| 0
| 0.036737
| 0.284553
| 8,979
| 229
| 80
| 39.209607
| 0.687734
| 0.0382
| 0
| 0.655738
| 0
| 0
| 0.044329
| 0
| 0
| 0
| 0
| 0
| 0.415301
| 1
| 0.038251
| false
| 0
| 0.027322
| 0
| 0.076503
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cfbcb5bc2acb6279eef24720e20d7b58a8af8a90
| 54
|
py
|
Python
|
login.py
|
fengli5588/test01
|
427912a5cc4a7ef7011e6419cb5a1ec9a8ba003d
|
[
"MIT"
] | null | null | null |
login.py
|
fengli5588/test01
|
427912a5cc4a7ef7011e6419cb5a1ec9a8ba003d
|
[
"MIT"
] | null | null | null |
login.py
|
fengli5588/test01
|
427912a5cc4a7ef7011e6419cb5a1ec9a8ba003d
|
[
"MIT"
] | null | null | null |
num = 1
val = 2
val2 = 333333
val2 = 333
val3 = 55555
| 9
| 13
| 0.62963
| 10
| 54
| 3.4
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.487179
| 0.277778
| 54
| 5
| 14
| 10.8
| 0.384615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
cfc0232daa45b5f2cfe6bcff55c3dfe4c6d0fd64
| 243
|
py
|
Python
|
jpp_boosted_django/jpp_boosted/website/templatetags/project_overview_list.py
|
QualmandDriven/jpp_boosted
|
895e2e85a7b0dd2fcfc6f2352fc318f2555e16df
|
[
"MIT"
] | 1
|
2020-07-28T19:36:51.000Z
|
2020-07-28T19:36:51.000Z
|
jpp_boosted_django/jpp_boosted/website/templatetags/project_overview_list.py
|
QualmandDriven/jpp_boosted
|
895e2e85a7b0dd2fcfc6f2352fc318f2555e16df
|
[
"MIT"
] | 11
|
2020-06-05T22:37:24.000Z
|
2022-02-10T08:25:59.000Z
|
jpp_boosted_django/jpp_boosted/website/templatetags/project_overview_list.py
|
QualmandDriven/jpp_boosted
|
895e2e85a7b0dd2fcfc6f2352fc318f2555e16df
|
[
"MIT"
] | null | null | null |
from django import template
from django.template.loader import get_template
register = template.Library()
@register.inclusion_tag('project_overview_list.html')
def project_overview_list(project_list):
return {'project_list': project_list}
| 34.714286
| 53
| 0.82716
| 32
| 243
| 6
| 0.5
| 0.171875
| 0.197917
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08642
| 243
| 7
| 54
| 34.714286
| 0.864865
| 0
| 0
| 0
| 0
| 0
| 0.155738
| 0.106557
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 0
| 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
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 4
|
cff8bbd354a25a3a52b9aff9eeab5db75ff581a6
| 385
|
py
|
Python
|
operators/keycloak-operator/python/pulumi_pulumi_kubernetes_crds_operators_keycloak_operator/keycloak/v1alpha1/__init__.py
|
pulumi/pulumi-kubernetes-crds
|
372c4c0182f6b899af82d6edaad521aa14f22150
|
[
"Apache-2.0"
] | null | null | null |
operators/keycloak-operator/python/pulumi_pulumi_kubernetes_crds_operators_keycloak_operator/keycloak/v1alpha1/__init__.py
|
pulumi/pulumi-kubernetes-crds
|
372c4c0182f6b899af82d6edaad521aa14f22150
|
[
"Apache-2.0"
] | 2
|
2020-09-18T17:12:23.000Z
|
2020-12-30T19:40:56.000Z
|
operators/keycloak-operator/python/pulumi_pulumi_kubernetes_crds_operators_keycloak_operator/keycloak/v1alpha1/__init__.py
|
pulumi/pulumi-kubernetes-crds
|
372c4c0182f6b899af82d6edaad521aa14f22150
|
[
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by crd2pulumi. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
# Export this package's modules as members:
from .Keycloak import *
from .KeycloakBackup import *
from .KeycloakClient import *
from .KeycloakRealm import *
from .KeycloakUser import *
from ._inputs import *
from . import outputs
| 29.615385
| 80
| 0.735065
| 53
| 385
| 5.320755
| 0.698113
| 0.212766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00625
| 0.168831
| 385
| 12
| 81
| 32.083333
| 0.875
| 0.490909
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
32009a1006b690062c5d23b1c5164be464ba2e41
| 196
|
py
|
Python
|
customize/urls.py
|
soma115/wikikracja
|
7715ca1daa4ca09888e1c7389ed5f8a2df29898b
|
[
"MIT"
] | 7
|
2016-02-21T17:25:54.000Z
|
2021-10-09T19:36:10.000Z
|
customize/urls.py
|
soma115/wikikracja
|
7715ca1daa4ca09888e1c7389ed5f8a2df29898b
|
[
"MIT"
] | 19
|
2020-02-11T23:55:01.000Z
|
2022-03-31T18:11:56.000Z
|
customize/urls.py
|
soma115/wikikracja
|
7715ca1daa4ca09888e1c7389ed5f8a2df29898b
|
[
"MIT"
] | 3
|
2016-01-20T22:34:58.000Z
|
2020-09-16T07:45:42.000Z
|
from django.urls import path
from . import views as v
app_name = 'customize'
# urlpatterns = (
# path('view/', v.view, name='view'),
# # path('edit/<int:pk>/', v.edit, name='edit'),
# )
| 19.6
| 52
| 0.596939
| 28
| 196
| 4.142857
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193878
| 196
| 9
| 53
| 21.777778
| 0.734177
| 0.545918
| 0
| 0
| 0
| 0
| 0.108434
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
32112170e06e9bed0804a0e97eda8789d22e6e36
| 164
|
py
|
Python
|
Codewars/HighestScoringWord.py
|
SelvorWhim/competitive
|
b9daaf21920d6f7669dc0c525e903949f4e33b62
|
[
"Unlicense"
] | null | null | null |
Codewars/HighestScoringWord.py
|
SelvorWhim/competitive
|
b9daaf21920d6f7669dc0c525e903949f4e33b62
|
[
"Unlicense"
] | null | null | null |
Codewars/HighestScoringWord.py
|
SelvorWhim/competitive
|
b9daaf21920d6f7669dc0c525e903949f4e33b62
|
[
"Unlicense"
] | null | null | null |
oa = ord('a')
def word_score(word):
return sum((ord(letter) - oa + 1) for letter in word)
def high(s):
print(s)
return max(s.split(), key=word_score)
| 18.222222
| 57
| 0.615854
| 29
| 164
| 3.413793
| 0.62069
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007752
| 0.213415
| 164
| 8
| 58
| 20.5
| 0.75969
| 0
| 0
| 0
| 0
| 0
| 0.006098
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.166667
| 0.666667
| 0.166667
| 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
| 0
| 1
| 0
| 0
|
0
| 4
|
321e00ff13e52ae86d4f403e299ca5c116ffd062
| 100
|
py
|
Python
|
doc/examples/example04.py
|
vinceatbluelabs/config_resolver
|
6de95833d037629405c649ba8dbc6a9ced064393
|
[
"MIT"
] | 1
|
2015-11-05T18:31:54.000Z
|
2015-11-05T18:31:54.000Z
|
doc/examples/example04.py
|
vinceatbluelabs/config_resolver
|
6de95833d037629405c649ba8dbc6a9ced064393
|
[
"MIT"
] | 63
|
2015-01-27T13:15:42.000Z
|
2021-06-07T06:50:59.000Z
|
doc/examples/example04.py
|
vinceatbluelabs/config_resolver
|
6de95833d037629405c649ba8dbc6a9ced064393
|
[
"MIT"
] | 1
|
2020-05-12T18:12:03.000Z
|
2020-05-12T18:12:03.000Z
|
from config_resolver import get_config
cfg = get_config("bird_feeder", "acmecorp")
print(cfg.meta)
| 20
| 43
| 0.79
| 15
| 100
| 5
| 0.733333
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 100
| 4
| 44
| 25
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0.19
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5c5559b78579f373c0dde96fd743f3cb2ca083e9
| 87
|
py
|
Python
|
src/sasctl/utils/pyml2ds/connectors/ensembles/__init__.py
|
jameskochubasas/python-sasctl
|
65107c2d4355390ca09e83eb89167c86506c9926
|
[
"Apache-2.0"
] | 30
|
2019-07-12T00:18:21.000Z
|
2022-03-18T08:36:35.000Z
|
src/sasctl/utils/pyml2ds/connectors/ensembles/__init__.py
|
jameskochubasas/python-sasctl
|
65107c2d4355390ca09e83eb89167c86506c9926
|
[
"Apache-2.0"
] | 89
|
2019-07-12T20:46:46.000Z
|
2022-03-29T16:16:46.000Z
|
src/sasctl/utils/pyml2ds/connectors/ensembles/__init__.py
|
jameskochubasas/python-sasctl
|
65107c2d4355390ca09e83eb89167c86506c9926
|
[
"Apache-2.0"
] | 41
|
2019-07-11T15:08:55.000Z
|
2022-01-10T05:30:50.000Z
|
from .xgb import XgbParser
from .lgb import LightgbmParser
from .pmml import PmmlParser
| 29
| 31
| 0.83908
| 12
| 87
| 6.083333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126437
| 87
| 3
| 32
| 29
| 0.960526
| 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
| 0
| 0
|
0
| 4
|
5c5c213568b43978a2a464caf11808d69aa7c3fb
| 50
|
py
|
Python
|
run.py
|
NeeharikaESai/NSP
|
6db6243cbcb58d90e649603be92f6a038cd3c279
|
[
"MIT"
] | null | null | null |
run.py
|
NeeharikaESai/NSP
|
6db6243cbcb58d90e649603be92f6a038cd3c279
|
[
"MIT"
] | 8
|
2020-06-05T18:39:09.000Z
|
2022-03-11T23:26:32.000Z
|
run.py
|
NSP-Community/NSP-Production
|
329af474892b911f2025a920fdb3ab390bb6de81
|
[
"MIT"
] | 1
|
2019-10-27T20:11:58.000Z
|
2019-10-27T20:11:58.000Z
|
import os
os.system("python manage.py runserver")
| 16.666667
| 39
| 0.78
| 8
| 50
| 4.875
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 50
| 2
| 40
| 25
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0.52
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 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
| 0
| 0
|
0
| 4
|
5c70200d818bbd29469723be65d620d6130bcb9a
| 238
|
py
|
Python
|
whitenoise/management/commands/runfixtures.py
|
vsgiri/white-noise
|
e0d52e3a5363c92010c74a1e3721da799ef99eba
|
[
"MIT"
] | 4
|
2019-01-11T17:05:09.000Z
|
2022-03-05T19:57:22.000Z
|
whitenoise/management/commands/runfixtures.py
|
vsgiri/white-noise
|
e0d52e3a5363c92010c74a1e3721da799ef99eba
|
[
"MIT"
] | 2
|
2019-07-02T23:14:46.000Z
|
2019-07-12T00:30:41.000Z
|
whitenoise/management/commands/runfixtures.py
|
vsgiri/white-noise
|
e0d52e3a5363c92010c74a1e3721da799ef99eba
|
[
"MIT"
] | 1
|
2019-07-02T21:57:06.000Z
|
2019-07-02T21:57:06.000Z
|
from django.core.management.base import BaseCommand, CommandError
class Command(BaseCOmmand):
help = 'Run white-noise fixtures'
def add_arguments(self, parser):
pass
def handle(self, *args, **options):
pass
| 21.636364
| 65
| 0.684874
| 28
| 238
| 5.785714
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.218487
| 238
| 10
| 66
| 23.8
| 0.870968
| 0
| 0
| 0.285714
| 0
| 0
| 0.10084
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.285714
| 0.142857
| 0
| 0.714286
| 0
| 1
| 0
| 0
| null | 0
| 0
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
5c93c59c8d447030a3719989444ac65ea16cd81a
| 161
|
py
|
Python
|
moto/events/__init__.py
|
gvlproject/moto
|
b1c51faaf5dbf79a76eca29724b7d22b87e27502
|
[
"Apache-2.0"
] | 2
|
2019-07-10T14:44:12.000Z
|
2020-06-08T17:26:29.000Z
|
moto/events/__init__.py
|
gvlproject/moto
|
b1c51faaf5dbf79a76eca29724b7d22b87e27502
|
[
"Apache-2.0"
] | 5
|
2018-04-25T21:04:20.000Z
|
2018-11-02T19:59:27.000Z
|
moto/events/__init__.py
|
gvlproject/moto
|
b1c51faaf5dbf79a76eca29724b7d22b87e27502
|
[
"Apache-2.0"
] | 12
|
2017-09-06T22:11:15.000Z
|
2021-05-28T17:22:31.000Z
|
from __future__ import unicode_literals
from .models import events_backend
events_backends = {"global": events_backend}
mock_events = events_backend.decorator
| 23
| 44
| 0.838509
| 20
| 161
| 6.25
| 0.6
| 0.312
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10559
| 161
| 6
| 45
| 26.833333
| 0.868056
| 0
| 0
| 0
| 0
| 0
| 0.037267
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5c9a7cd1c903bd0965a1c14130cfa8ccbe52a5ac
| 122
|
py
|
Python
|
examples/timing.py
|
tahmid-choyon/capslock
|
dde335b2ab73cbf7199e081fedb594d01f6c2021
|
[
"MIT"
] | 8
|
2021-02-23T13:06:07.000Z
|
2021-09-14T10:24:19.000Z
|
examples/timing.py
|
tahmid-choyon/capslock
|
dde335b2ab73cbf7199e081fedb594d01f6c2021
|
[
"MIT"
] | 2
|
2021-03-05T00:23:39.000Z
|
2021-03-06T07:06:32.000Z
|
examples/timing.py
|
tahmid-choyon/capslock
|
dde335b2ab73cbf7199e081fedb594d01f6c2021
|
[
"MIT"
] | 4
|
2021-02-24T07:25:51.000Z
|
2021-03-06T12:22:07.000Z
|
from capslock import timing
@timing
def say_hello():
print("Hello World")
if __name__ == '__main__':
say_hello()
| 15.25
| 27
| 0.688525
| 16
| 122
| 4.625
| 0.75
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.188525
| 122
| 8
| 28
| 15.25
| 0.747475
| 0
| 0
| 0
| 0
| 0
| 0.154472
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.166667
| 0
| 0.333333
| 0.166667
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
5cb55624451b9784782908c24e2e54a8bd5238f6
| 818
|
py
|
Python
|
test/test_train.py
|
mikolasan/name-generator
|
94389f7a33f5ea72cda4ac3088add75153e6263c
|
[
"MIT"
] | null | null | null |
test/test_train.py
|
mikolasan/name-generator
|
94389f7a33f5ea72cda4ac3088add75153e6263c
|
[
"MIT"
] | null | null | null |
test/test_train.py
|
mikolasan/name-generator
|
94389f7a33f5ea72cda4ac3088add75153e6263c
|
[
"MIT"
] | null | null | null |
import os
import pytest
from stupid_ai.markov_chain import MarkovChain
@pytest.fixture
def markov_chain():
m = MarkovChain()
m.set_file(os.path.join('data', 'male.txt'))
m.train()
return m
def test_p_values(markov_chain):
assert markov_chain.P[0][0] == 0.004246284501061571
assert markov_chain.P[0][1] == 0.008492569002123142
assert markov_chain.P[0][2] == 0.12101910828025478
assert markov_chain.P[0][3] == 0.016985138004246284
def test_h_values(markov_chain):
assert markov_chain.H[0][0] == 2
assert markov_chain.H[0][1] == 4
assert markov_chain.H[0][2] == 57
assert markov_chain.H[0][3] == 8
def test_h_total_values(markov_chain):
assert markov_chain.h_totals[0] == 471
assert markov_chain.h_totals[1] == 29
assert markov_chain.h_totals[2] == 153
| 25.5625
| 55
| 0.699267
| 131
| 818
| 4.152672
| 0.320611
| 0.323529
| 0.34375
| 0.231618
| 0.505515
| 0.191176
| 0.128676
| 0
| 0
| 0
| 0
| 0.157122
| 0.167482
| 818
| 31
| 56
| 26.387097
| 0.641703
| 0
| 0
| 0
| 0
| 0
| 0.01467
| 0
| 0
| 0
| 0
| 0
| 0.478261
| 1
| 0.173913
| false
| 0
| 0.130435
| 0
| 0.347826
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5cd150956e1d5c7ebc20842b4f030935cb007f60
| 315
|
py
|
Python
|
backend/api/adminViews/adminListView.py
|
CMPUT404-wi21-project/CMPUT404-project-socialdistribution
|
b88ca3608e16a1bae72cd7c8cfc212db74d1b2c0
|
[
"W3C-20150513"
] | 1
|
2021-04-08T22:02:44.000Z
|
2021-04-08T22:02:44.000Z
|
backend/api/adminViews/adminListView.py
|
CMPUT404-wi21-project/CMPUT404-project-socialdistribution
|
b88ca3608e16a1bae72cd7c8cfc212db74d1b2c0
|
[
"W3C-20150513"
] | 79
|
2021-02-06T22:55:52.000Z
|
2021-04-15T20:24:56.000Z
|
backend/api/adminViews/adminListView.py
|
CMPUT404-wi21-project/CMPUT404-project-socialdistribution
|
b88ca3608e16a1bae72cd7c8cfc212db74d1b2c0
|
[
"W3C-20150513"
] | 4
|
2021-02-14T15:13:15.000Z
|
2021-04-17T06:21:11.000Z
|
from django.contrib import admin
from ..services.adminActions import accept_signup_request
# admin list view for signup requests
class signup_request_admin_list_view(admin.ModelAdmin):
list_display = ['username','displayName', 'github', 'host']
ordering = ['username']
actions = [accept_signup_request]
| 39.375
| 63
| 0.774603
| 38
| 315
| 6.184211
| 0.605263
| 0.165957
| 0.161702
| 0.187234
| 0.221277
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126984
| 315
| 8
| 64
| 39.375
| 0.854545
| 0.111111
| 0
| 0
| 0
| 0
| 0.132616
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7a3f5bf4f898d53208c52e968fc76659ea97c833
| 333
|
py
|
Python
|
BlockingThreadPoolExecutor.py
|
etherandrius/information-networks
|
47e64e4fcbd2c1fd076ab69cb8254efef6c846ae
|
[
"MIT"
] | null | null | null |
BlockingThreadPoolExecutor.py
|
etherandrius/information-networks
|
47e64e4fcbd2c1fd076ab69cb8254efef6c846ae
|
[
"MIT"
] | null | null | null |
BlockingThreadPoolExecutor.py
|
etherandrius/information-networks
|
47e64e4fcbd2c1fd076ab69cb8254efef6c846ae
|
[
"MIT"
] | null | null | null |
from concurrent.futures import ThreadPoolExecutor
import queue
class BlockingThreadPoolExecutor(ThreadPoolExecutor):
def __init__(self, max_workers=None, thread_name_prefix=''):
super().__init__(max_workers=max_workers, thread_name_prefix=thread_name_prefix)
self._work_queue = queue.Queue(maxsize=max_workers)
| 37
| 88
| 0.801802
| 39
| 333
| 6.333333
| 0.512821
| 0.161943
| 0.194332
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117117
| 333
| 8
| 89
| 41.625
| 0.840136
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| 1
| 0.166667
| false
| 0
| 0.333333
| 0
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| 0
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| null | 0
| 1
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| 0
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7a633c099499f37d537aa1e6570a5359e2ba2008
| 117
|
py
|
Python
|
sloth_job/admin.py
|
Alexoner/sloth
|
ac2668d1e096de474429fc0d1a5291b107374c32
|
[
"Unlicense"
] | null | null | null |
sloth_job/admin.py
|
Alexoner/sloth
|
ac2668d1e096de474429fc0d1a5291b107374c32
|
[
"Unlicense"
] | null | null | null |
sloth_job/admin.py
|
Alexoner/sloth
|
ac2668d1e096de474429fc0d1a5291b107374c32
|
[
"Unlicense"
] | null | null | null |
from django.contrib import admin
from .models import Proxy
# Register your models here.
admin.site.register(Proxy)
| 16.714286
| 32
| 0.794872
| 17
| 117
| 5.470588
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136752
| 117
| 6
| 33
| 19.5
| 0.920792
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
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| 0
| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7a8cd44d6b4dfe99af7fb007576bfb73aabaaa2b
| 93
|
py
|
Python
|
hive/controllers/api/users.py
|
evilinc-dev/hive
|
898691bcae6dc9733d1e239113c327a96d2e6501
|
[
"MIT"
] | 1
|
2019-10-26T06:32:41.000Z
|
2019-10-26T06:32:41.000Z
|
hive/controllers/api/users.py
|
evilinc-dev/hive
|
898691bcae6dc9733d1e239113c327a96d2e6501
|
[
"MIT"
] | 2
|
2020-11-06T04:24:53.000Z
|
2020-11-06T04:26:04.000Z
|
hive/controllers/api/users.py
|
evilinc-dev/hive
|
898691bcae6dc9733d1e239113c327a96d2e6501
|
[
"MIT"
] | null | null | null |
from flask import Blueprint, jsonify
route = Blueprint("users", __name__, url_prefix='/api')
| 31
| 55
| 0.763441
| 12
| 93
| 5.5
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107527
| 93
| 3
| 55
| 31
| 0.795181
| 0
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| 0
| 0.095745
| 0
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| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 1
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 4
|
7ab67c6ce48ef47990e3682f8981f7154e3213d5
| 2,545
|
py
|
Python
|
Pyhton-303-main/loops.py
|
meminds/DataScience
|
4671fab86d50d4fefd88732afed767a0280e3a6b
|
[
"MIT"
] | null | null | null |
Pyhton-303-main/loops.py
|
meminds/DataScience
|
4671fab86d50d4fefd88732afed767a0280e3a6b
|
[
"MIT"
] | null | null | null |
Pyhton-303-main/loops.py
|
meminds/DataScience
|
4671fab86d50d4fefd88732afed767a0280e3a6b
|
[
"MIT"
] | null | null | null |
# FOR loop
student = ["ali","veli","isik","berk"]
for i in student:
print(i) """returns ali
veli
isik
berk """
# Example --- Code that gives 20% increase in salaries.
salary = [1000,2000,3000,4000,5000]
for i in salary:
print(i)
def new_salary(x):
print(x*20/100 +x)
for i in salary:
new_salary(i) """ returns 1200.0
2400.0
3600.0
4800.0
6000.0 """
# Break & Continue
salary = [8000,5000,2000,1000,3000,7000,1000]
salary.sort()
salary # returns [1000, 1000, 2000, 3000, 5000, 7000, 8000]
for i in salary:
if i==3000:
print("stop")
break
print(i) """ returns 1000
1000
2000
stop """
for i in salary:
if i==3000:
continue
print(i) """ returns 1000
1000
2000
5000
7000
8000 """
# while
number = 1
while number<10:
number += 1
print(number) """ returns 2
3
4
5
6
7
8
9
10 """
| 34.391892
| 96
| 0.203929
| 140
| 2,545
| 3.692857
| 0.378571
| 0.038685
| 0.058027
| 0.092843
| 0.170213
| 0.170213
| 0.073501
| 0
| 0
| 0
| 0
| 0.256966
| 0.746169
| 2,545
| 73
| 97
| 34.863014
| 0.543344
| 0.053438
| 0
| 0.244898
| 0
| 0
| 0.631014
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.142857
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8faf2403996a11177a5bec9c179f33d151fb78f2
| 232
|
py
|
Python
|
todo.py
|
Pickwell15/to-do-list
|
4ab7aaa3039eceb1f30a062a454d8902838930d6
|
[
"CC0-1.0"
] | 1
|
2021-08-29T20:01:56.000Z
|
2021-08-29T20:01:56.000Z
|
todo.py
|
Pickwell15/to-do-list
|
4ab7aaa3039eceb1f30a062a454d8902838930d6
|
[
"CC0-1.0"
] | null | null | null |
todo.py
|
Pickwell15/to-do-list
|
4ab7aaa3039eceb1f30a062a454d8902838930d6
|
[
"CC0-1.0"
] | null | null | null |
"""
OBJECTS
---------------
PUBLIC | ToDo
MODULES
---------------
EXTERNAL | dataclasses -> dataclass
"""
from dataclasses import dataclass
@dataclass(frozen=True, order=True)
class ToDo:
title: str
body: str
| 12.888889
| 36
| 0.577586
| 22
| 232
| 6.090909
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.211207
| 232
| 17
| 37
| 13.647059
| 0.73224
| 0.422414
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
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| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
8fb079ad47e78c7439a4ead56f58836497076fa6
| 22
|
py
|
Python
|
aliyun-python-sdk-cms/aliyunsdkcms/__init__.py
|
bricklayer-Liu/aliyun-openapi-python-sdk
|
20da2554de22679fc7c5462c483663e4d79512aa
|
[
"Apache-2.0"
] | 1
|
2021-03-08T02:59:17.000Z
|
2021-03-08T02:59:17.000Z
|
aliyun-python-sdk-cms/aliyunsdkcms/__init__.py
|
bricklayer-Liu/aliyun-openapi-python-sdk
|
20da2554de22679fc7c5462c483663e4d79512aa
|
[
"Apache-2.0"
] | null | null | null |
aliyun-python-sdk-cms/aliyunsdkcms/__init__.py
|
bricklayer-Liu/aliyun-openapi-python-sdk
|
20da2554de22679fc7c5462c483663e4d79512aa
|
[
"Apache-2.0"
] | null | null | null |
__version__ = '7.0.15'
| 22
| 22
| 0.681818
| 4
| 22
| 2.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0.090909
| 22
| 1
| 22
| 22
| 0.35
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8fd56d88e8db3f6cb979ef9a18b6b123c7acf0a4
| 186
|
py
|
Python
|
configs/flownet2/flownet2sd_8x1_slong_chairssdhom_384x448.py
|
hologerry/mmflow
|
40caf064851bd95317424e31cc137c0007a2bece
|
[
"Apache-2.0"
] | 481
|
2021-11-16T07:04:23.000Z
|
2022-03-31T22:21:21.000Z
|
configs/flownet2/flownet2sd_8x1_slong_chairssdhom_384x448.py
|
hologerry/mmflow
|
40caf064851bd95317424e31cc137c0007a2bece
|
[
"Apache-2.0"
] | 72
|
2021-11-16T12:25:55.000Z
|
2022-03-28T13:10:45.000Z
|
configs/flownet2/flownet2sd_8x1_slong_chairssdhom_384x448.py
|
hologerry/mmflow
|
40caf064851bd95317424e31cc137c0007a2bece
|
[
"Apache-2.0"
] | 48
|
2021-11-16T06:48:46.000Z
|
2022-03-30T12:46:40.000Z
|
_base_ = [
'../_base_/models/flownet2/flownet2sd.py',
'../_base_/datasets/chairssdhom_384x448.py',
'../_base_/schedules/schedule_s_long.py', '../_base_/default_runtime.py'
]
| 31
| 76
| 0.688172
| 21
| 186
| 5.428571
| 0.666667
| 0.157895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 0.107527
| 186
| 5
| 77
| 37.2
| 0.638554
| 0
| 0
| 0
| 0
| 0
| 0.784946
| 0.784946
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8fe1daba837194ffd8a01877792d1dbd0a476e76
| 110
|
py
|
Python
|
image_generation/__init__.py
|
shibing624/cvnet
|
5b9032a6d4be731cca92392a6779d56635781169
|
[
"Apache-2.0"
] | 2
|
2020-10-27T01:35:32.000Z
|
2020-12-07T19:09:51.000Z
|
image_generation/__init__.py
|
shibing624/imagefun
|
5c5c688b530f07688cda85705591634286f0b848
|
[
"Apache-2.0"
] | 1
|
2020-12-01T14:24:06.000Z
|
2020-12-01T14:24:06.000Z
|
image_generation/__init__.py
|
shibing624/imagefun
|
5c5c688b530f07688cda85705591634286f0b848
|
[
"Apache-2.0"
] | 1
|
2021-05-19T02:41:40.000Z
|
2021-05-19T02:41:40.000Z
|
# -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: 包括gan图像生成、vae图像生成、艺术风格迁移、图像漫画化
"""
| 18.333333
| 44
| 0.672727
| 13
| 110
| 5.692308
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.090909
| 110
| 5
| 45
| 22
| 0.7
| 0.909091
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8ff4425f0956621c730b0d0f94ff66f41e12bd0a
| 159
|
py
|
Python
|
test_session.py
|
dkkline/pylectio
|
3ce31b86b6cdf315dab84642440dcc2c31365a9f
|
[
"MIT"
] | null | null | null |
test_session.py
|
dkkline/pylectio
|
3ce31b86b6cdf315dab84642440dcc2c31365a9f
|
[
"MIT"
] | null | null | null |
test_session.py
|
dkkline/pylectio
|
3ce31b86b6cdf315dab84642440dcc2c31365a9f
|
[
"MIT"
] | null | null | null |
from lectio.session import Session
from getpass import getpass
s = Session("248")
username = "jepp3467"
password = getpass()
r = s.auth(username, password)
| 15.9
| 34
| 0.742138
| 21
| 159
| 5.619048
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051852
| 0.150943
| 159
| 9
| 35
| 17.666667
| 0.822222
| 0
| 0
| 0
| 0
| 0
| 0.069182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.5
| 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
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
8ff8a172c102fabba5e6a16cd27224c049f36e7f
| 170
|
py
|
Python
|
dashboard/apps.py
|
hosseinmoghimi/waiter
|
9f5f332b6f252a29aa14f67655b423fd9c40fba3
|
[
"MIT"
] | 1
|
2021-12-02T11:16:53.000Z
|
2021-12-02T11:16:53.000Z
|
dashboard/apps.py
|
hosseinmoghimi/waiter
|
9f5f332b6f252a29aa14f67655b423fd9c40fba3
|
[
"MIT"
] | null | null | null |
dashboard/apps.py
|
hosseinmoghimi/waiter
|
9f5f332b6f252a29aa14f67655b423fd9c40fba3
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
APP_NAME="dashboard"
class DashboardConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'dashboard'
| 24.285714
| 56
| 0.776471
| 20
| 170
| 6.45
| 0.8
| 0.20155
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129412
| 170
| 6
| 57
| 28.333333
| 0.871622
| 0
| 0
| 0
| 0
| 0
| 0.276471
| 0.170588
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
64eacb5f9bf02d0279888ff422a48dcfab22057f
| 132
|
py
|
Python
|
tests/test_module.py
|
janezlapajne/python-project-template
|
bca24a061008e398a1d68b95df8c991d3524ad9d
|
[
"MIT"
] | null | null | null |
tests/test_module.py
|
janezlapajne/python-project-template
|
bca24a061008e398a1d68b95df8c991d3524ad9d
|
[
"MIT"
] | null | null | null |
tests/test_module.py
|
janezlapajne/python-project-template
|
bca24a061008e398a1d68b95df8c991d3524ad9d
|
[
"MIT"
] | null | null | null |
import pytest
import os, glob
#import source.module as mod
#import tests.helpers as hlp
def test_module_func():
assert True
| 12
| 28
| 0.75
| 21
| 132
| 4.619048
| 0.761905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189394
| 132
| 10
| 29
| 13.2
| 0.906542
| 0.409091
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
8f0ab030bf7a8b9f475535e03e2fa7f2a453473a
| 183
|
py
|
Python
|
pymtl3/stdlib/test/__init__.py
|
mondO/pymtl3
|
9869dda28c01926cee6da94ebdeac2a210150c62
|
[
"BSD-3-Clause"
] | 1
|
2022-01-03T06:22:11.000Z
|
2022-01-03T06:22:11.000Z
|
pymtl3/stdlib/test/__init__.py
|
mondO/pymtl3
|
9869dda28c01926cee6da94ebdeac2a210150c62
|
[
"BSD-3-Clause"
] | null | null | null |
pymtl3/stdlib/test/__init__.py
|
mondO/pymtl3
|
9869dda28c01926cee6da94ebdeac2a210150c62
|
[
"BSD-3-Clause"
] | null | null | null |
from .test_sinks import TestSinkCL
from .test_srcs import TestSrcCL
from .test_utils import (
TestVectorSimulator,
mk_test_case_table,
run_sim,
run_test_vector_sim,
)
| 20.333333
| 34
| 0.770492
| 25
| 183
| 5.24
| 0.6
| 0.183206
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180328
| 183
| 8
| 35
| 22.875
| 0.873333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.375
| 0
| 0.375
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
8f3161bc48499c5e3b47f9e512eb3ef3e528496a
| 97
|
py
|
Python
|
py_tdlib/constructors/set_network_type.py
|
Mr-TelegramBot/python-tdlib
|
2e2d21a742ebcd439971a32357f2d0abd0ce61eb
|
[
"MIT"
] | 24
|
2018-10-05T13:04:30.000Z
|
2020-05-12T08:45:34.000Z
|
py_tdlib/constructors/set_network_type.py
|
MrMahdi313/python-tdlib
|
2e2d21a742ebcd439971a32357f2d0abd0ce61eb
|
[
"MIT"
] | 3
|
2019-06-26T07:20:20.000Z
|
2021-05-24T13:06:56.000Z
|
py_tdlib/constructors/set_network_type.py
|
MrMahdi313/python-tdlib
|
2e2d21a742ebcd439971a32357f2d0abd0ce61eb
|
[
"MIT"
] | 5
|
2018-10-05T14:29:28.000Z
|
2020-08-11T15:04:10.000Z
|
from ..factory import Method
class setNetworkType(Method):
type = None # type: "NetworkType"
| 16.166667
| 35
| 0.731959
| 11
| 97
| 6.454545
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164948
| 97
| 5
| 36
| 19.4
| 0.876543
| 0.195876
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8f43e3e6f7f121edfb38de58b78076177425cdf7
| 330
|
py
|
Python
|
APIServer/database/schema.py
|
gcallah/SOCNET
|
dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61
|
[
"MIT"
] | 1
|
2021-02-04T19:16:16.000Z
|
2021-02-04T19:16:16.000Z
|
APIServer/database/schema.py
|
gcallah/SOCNET
|
dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61
|
[
"MIT"
] | null | null | null |
APIServer/database/schema.py
|
gcallah/SOCNET
|
dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61
|
[
"MIT"
] | 1
|
2021-02-12T21:27:25.000Z
|
2021-02-12T21:27:25.000Z
|
from APIServer.database.models import Alert, Thread, Comment
from marshmallow_sqlalchemy import ModelSchema
class AlertSchema(ModelSchema):
class Meta:
model = Alert
class ThreadSchema(ModelSchema):
class Meta:
model = Thread
class CommentSchema(ModelSchema):
class Meta:
model = Comment
| 18.333333
| 60
| 0.721212
| 34
| 330
| 6.970588
| 0.5
| 0.270042
| 0.253165
| 0.316456
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.221212
| 330
| 17
| 61
| 19.411765
| 0.922179
| 0
| 0
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.181818
| 0
| 0.727273
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
8f4c3111c8c10c0ec0a5b5dafc3f8b0dec13623f
| 105
|
py
|
Python
|
tiatoolbox/__main__.py
|
adamshephard/tiatoolbox
|
28c32648bc1f3e842c7b241637fd25af290386e6
|
[
"BSD-3-Clause"
] | null | null | null |
tiatoolbox/__main__.py
|
adamshephard/tiatoolbox
|
28c32648bc1f3e842c7b241637fd25af290386e6
|
[
"BSD-3-Clause"
] | null | null | null |
tiatoolbox/__main__.py
|
adamshephard/tiatoolbox
|
28c32648bc1f3e842c7b241637fd25af290386e6
|
[
"BSD-3-Clause"
] | null | null | null |
"""__main__ file invoked with `python -m tiatoolbox` command"""
from tiatoolbox.cli import main
main()
| 17.5
| 63
| 0.742857
| 14
| 105
| 5.285714
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 105
| 5
| 64
| 21
| 0.822222
| 0.542857
| 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 | 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
| 0
| 0
|
0
| 4
|
8f68bd4cd8c7ddae1a307e6f5557f4856f4eafdd
| 71
|
py
|
Python
|
src/backend/main.py
|
fellowmate/docs-storage
|
a55929e3f94f121a8382b9bc0bd2d226646d4627
|
[
"MIT"
] | null | null | null |
src/backend/main.py
|
fellowmate/docs-storage
|
a55929e3f94f121a8382b9bc0bd2d226646d4627
|
[
"MIT"
] | null | null | null |
src/backend/main.py
|
fellowmate/docs-storage
|
a55929e3f94f121a8382b9bc0bd2d226646d4627
|
[
"MIT"
] | null | null | null |
from backend.create_app import create_app
application = create_app()
| 14.2
| 41
| 0.816901
| 10
| 71
| 5.5
| 0.6
| 0.490909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126761
| 71
| 4
| 42
| 17.75
| 0.887097
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
56c8eb2e6f84e1fd36221e4ea22949db09e7aa25
| 194
|
py
|
Python
|
config/context_processors.py
|
YaroslavChyhryn/WeatherReminder
|
868e2956da2a4aa294471ceb8ea5b72289522491
|
[
"MIT"
] | null | null | null |
config/context_processors.py
|
YaroslavChyhryn/WeatherReminder
|
868e2956da2a4aa294471ceb8ea5b72289522491
|
[
"MIT"
] | 1
|
2017-04-22T22:45:17.000Z
|
2017-08-13T14:52:01.000Z
|
config/context_processors.py
|
YaroslavChyhryn/WeatherReminder
|
868e2956da2a4aa294471ceb8ea5b72289522491
|
[
"MIT"
] | null | null | null |
from django.conf import settings
def from_settings(request):
return {
'ENVIRONMENT_NAME': settings.ENVIRONMENT_NAME,
'ENVIRONMENT_COLOR': settings.ENVIRONMENT_COLOR,
}
| 21.555556
| 56
| 0.716495
| 20
| 194
| 6.7
| 0.55
| 0.223881
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201031
| 194
| 8
| 57
| 24.25
| 0.864516
| 0
| 0
| 0
| 0
| 0
| 0.170103
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 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
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
56d0b90a6ea0a6697328ad22badfa9c120295154
| 1,206
|
py
|
Python
|
bspider/parser/item.py
|
littlebai3618/bspider
|
ff4d003cd0825247db4efe62db95f9245c0a303c
|
[
"BSD-3-Clause"
] | 3
|
2020-06-19T03:52:29.000Z
|
2021-05-21T05:50:46.000Z
|
bspider/parser/item.py
|
littlebai3618/bspider
|
ff4d003cd0825247db4efe62db95f9245c0a303c
|
[
"BSD-3-Clause"
] | 2
|
2021-03-31T19:39:03.000Z
|
2021-05-12T02:10:26.000Z
|
bspider/parser/item.py
|
littlebai3618/bspider
|
ff4d003cd0825247db4efe62db95f9245c0a303c
|
[
"BSD-3-Clause"
] | null | null | null |
class Item(object):
"""
item对象,
"""
def __init__(self, schema=None, **kwargs):
"""
:param schema: 建表语句，要求有建表权限
:param kwargs: 要存储的数据
"""
self.capacity = kwargs
self.schema = schema
# 增加元素
def __setitem__(self, key, value):
self.capacity[key] = value
# 取出元素
def __getitem__(self, item):
return self.capacity[item]
# 删除元素
def __delitem__(self, key):
del self.capacity[key]
# 对象可迭代
def __iter__(self):
return self.capacity.items()
def pop(self, key):
return self.capacity.pop(key)
def get(self, key, default=None):
return self.capacity.get(key, default)
def keys(self):
return self.capacity.keys()
def values(self):
return self.capacity.values()
def clear(self):
return self.capacity.clear()
def __repr__(self):
return f'<Item: {len(self.capacity)} field>'
__str__ = __repr__
class MySQLSaverItem(Item):
def __init__(self, table: str, auto_update=True, schema=None, **kwargs):
super().__init__(schema, **kwargs)
self.table = table
self.auto_update = auto_update
| 21.157895
| 76
| 0.587894
| 139
| 1,206
| 4.791367
| 0.323741
| 0.198198
| 0.189189
| 0.132132
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.289386
| 1,206
| 56
| 77
| 21.535714
| 0.77713
| 0.065506
| 0
| 0
| 0
| 0
| 0.031569
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.266667
| 0.766667
| 0
| 0
| 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
| 4
|
56e59eeffb52c76028117b91c4e0b0a6f2d53b94
| 617
|
py
|
Python
|
data_structures/binary_search_tree/test_breadth_first_traversal.py
|
zarkle/data-structures-and-algorithms
|
0485b95f5aabc0ee255cd7e50b48a6ccec851e00
|
[
"MIT"
] | 1
|
2021-01-28T07:32:17.000Z
|
2021-01-28T07:32:17.000Z
|
data_structures/binary_search_tree/test_breadth_first_traversal.py
|
zarkle/data-structures-and-algorithms
|
0485b95f5aabc0ee255cd7e50b48a6ccec851e00
|
[
"MIT"
] | null | null | null |
data_structures/binary_search_tree/test_breadth_first_traversal.py
|
zarkle/data-structures-and-algorithms
|
0485b95f5aabc0ee255cd7e50b48a6ccec851e00
|
[
"MIT"
] | 1
|
2020-04-10T08:01:50.000Z
|
2020-04-10T08:01:50.000Z
|
from .breadth_first_traversal import breadth_first_traversal
from .bst import BST
def test_breadth_first_traversal():
"""Test breadth-first traversal."""
tree = BST([2, 1, 3])
assert breadth_first_traversal(tree) == [2, 1, 3]
def test_breadth_first_traversal_balanced(balanced_bst):
"""Test breadth-first traversal in balanced tree."""
assert breadth_first_traversal(balanced_bst) == [10, 7, 16, 3, 8, 12, 20]
def test_breadth_first_traversal_right(right_heavy):
"""Test breadth-first traversal in right heavy tree."""
assert breadth_first_traversal(right_heavy) == [1, 3, 5, 7, 9]
| 30.85
| 77
| 0.730956
| 89
| 617
| 4.786517
| 0.280899
| 0.309859
| 0.542254
| 0.352113
| 0.469484
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042065
| 0.15235
| 617
| 19
| 78
| 32.473684
| 0.772467
| 0.204214
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| false
| 0
| 0.222222
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
|
0
| 4
|
854b72957d998596a5f541b0a721a124e5fae503
| 834
|
py
|
Python
|
running_modes/configurations/reinforcement_learning/reinforcement_learning_components.py
|
lilleswing/Reinvent-1
|
ac4e3e6fa6379c6f4af883478dfd1b3407933ada
|
[
"Apache-2.0"
] | 183
|
2020-04-04T02:01:15.000Z
|
2022-03-30T21:56:56.000Z
|
running_modes/configurations/reinforcement_learning/reinforcement_learning_components.py
|
lilleswing/Reinvent-1
|
ac4e3e6fa6379c6f4af883478dfd1b3407933ada
|
[
"Apache-2.0"
] | 39
|
2020-04-05T15:19:56.000Z
|
2022-03-09T12:58:21.000Z
|
running_modes/configurations/reinforcement_learning/reinforcement_learning_components.py
|
lilleswing/Reinvent-1
|
ac4e3e6fa6379c6f4af883478dfd1b3407933ada
|
[
"Apache-2.0"
] | 70
|
2020-04-05T19:25:43.000Z
|
2022-02-22T12:04:39.000Z
|
from dataclasses import dataclass
from reinvent_scoring.scoring.diversity_filters.reinvent_core.diversity_filter_parameters import \
DiversityFilterParameters
from reinvent_scoring.scoring.scoring_function_parameters import ScoringFunctionParameters
from running_modes.configurations.reinforcement_learning.inception_configuration import InceptionConfiguration
from running_modes.configurations.reinforcement_learning.reinforcement_learning_configuration import \
ReinforcementLearningConfiguration
@dataclass
class ReinforcementLearningComponents:
"""This class holds the necessary configuration components to run RL"""
reinforcement_learning: ReinforcementLearningConfiguration
scoring_function: ScoringFunctionParameters
diversity_filter: DiversityFilterParameters
inception: InceptionConfiguration
| 43.894737
| 110
| 0.878897
| 71
| 834
| 10.070423
| 0.464789
| 0.117483
| 0.053147
| 0.072727
| 0.142657
| 0.142657
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089928
| 834
| 18
| 111
| 46.333333
| 0.942029
| 0.077938
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.384615
| 0
| 0.769231
| 0
| 0
| 0
| 1
| null | 0
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
857da36d74564cf9aa71e473d4fb8329787ebfcc
| 59
|
py
|
Python
|
hoi3tools/config.py
|
jDan735/hoi3tools
|
0bf8ba6b75e03e04733eecc09fc4c1c7c69a9447
|
[
"MIT"
] | null | null | null |
hoi3tools/config.py
|
jDan735/hoi3tools
|
0bf8ba6b75e03e04733eecc09fc4c1c7c69a9447
|
[
"MIT"
] | null | null | null |
hoi3tools/config.py
|
jDan735/hoi3tools
|
0bf8ba6b75e03e04733eecc09fc4c1c7c69a9447
|
[
"MIT"
] | null | null | null |
dirpath = "I:\\games\\HoI3 Remastered\\history\\provinces"
| 29.5
| 58
| 0.728814
| 7
| 59
| 6.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.018182
| 0.067797
| 59
| 1
| 59
| 59
| 0.763636
| 0
| 0
| 0
| 0
| 0
| 0.779661
| 0.508475
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
857f466842692bbbd88553c11ec4b35e6eef61ee
| 82
|
py
|
Python
|
lor_deckcodes/__init__.py
|
Rafalonso/LoRDeckCodesPython
|
42b59090d7aa2a7818917e999a4361dff104ab92
|
[
"MIT"
] | 16
|
2019-10-19T22:02:48.000Z
|
2022-02-24T14:07:37.000Z
|
lor_deckcodes/__init__.py
|
mfrr/LoRDeckCodesPython
|
3e3e4014da1be1d3e16cee431678f0042a678460
|
[
"MIT"
] | 9
|
2020-04-26T14:08:08.000Z
|
2021-08-25T15:53:35.000Z
|
lor_deckcodes/__init__.py
|
mfrr/LoRDeckCodesPython
|
3e3e4014da1be1d3e16cee431678f0042a678460
|
[
"MIT"
] | 9
|
2019-10-30T21:16:03.000Z
|
2021-08-25T15:41:14.000Z
|
name = "lor_deckcodes"
from lor_deckcodes.models import LoRDeck, CardCodeAndCount
| 27.333333
| 58
| 0.841463
| 10
| 82
| 6.7
| 0.8
| 0.358209
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 82
| 2
| 59
| 41
| 0.905405
| 0
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| 0
| 0
| 0
| 0.158537
| 0
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| 0
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| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
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| null | 1
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| 1
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| 1
| 0
| 0
| 0
|
0
| 4
|
85c49c913427b26d9207926ed407065125bfe9c0
| 50,825
|
py
|
Python
|
sdk/cwl/tests/test_submit.py
|
tomclegg/arvados
|
138eedbea2658ef397c7a58ce48d6f06077ba140
|
[
"Apache-2.0"
] | null | null | null |
sdk/cwl/tests/test_submit.py
|
tomclegg/arvados
|
138eedbea2658ef397c7a58ce48d6f06077ba140
|
[
"Apache-2.0"
] | null | null | null |
sdk/cwl/tests/test_submit.py
|
tomclegg/arvados
|
138eedbea2658ef397c7a58ce48d6f06077ba140
|
[
"Apache-2.0"
] | null | null | null |
import copy
import cStringIO
import functools
import hashlib
import json
import logging
import mock
import sys
import unittest
import arvados
import arvados.collection
import arvados_cwl
import arvados_cwl.runner
import arvados.keep
from .matcher import JsonDiffMatcher
from .mock_discovery import get_rootDesc
import ruamel.yaml as yaml
_rootDesc = None
def stubs(func):
@functools.wraps(func)
@mock.patch("arvados.commands.keepdocker.list_images_in_arv")
@mock.patch("arvados.collection.KeepClient")
@mock.patch("arvados.keep.KeepClient")
@mock.patch("arvados.events.subscribe")
def wrapped(self, events, keep_client1, keep_client2, keepdocker, *args, **kwargs):
class Stubs:
pass
stubs = Stubs()
stubs.events = events
stubs.keepdocker = keepdocker
def putstub(p, **kwargs):
return "%s+%i" % (hashlib.md5(p).hexdigest(), len(p))
keep_client1().put.side_effect = putstub
keep_client1.put.side_effect = putstub
keep_client2().put.side_effect = putstub
keep_client2.put.side_effect = putstub
stubs.keep_client = keep_client2
stubs.keepdocker.return_value = [("zzzzz-4zz18-zzzzzzzzzzzzzz3", "")]
stubs.fake_user_uuid = "zzzzz-tpzed-zzzzzzzzzzzzzzz"
stubs.api = mock.MagicMock()
stubs.api._rootDesc = get_rootDesc()
stubs.api.users().current().execute.return_value = {
"uuid": stubs.fake_user_uuid,
}
stubs.api.collections().list().execute.return_value = {"items": []}
stubs.api.collections().create().execute.side_effect = ({
"uuid": "zzzzz-4zz18-zzzzzzzzzzzzzz1",
"portable_data_hash": "99999999999999999999999999999991+99",
"manifest_text": ""
}, {
"uuid": "zzzzz-4zz18-zzzzzzzzzzzzzz2",
"portable_data_hash": "99999999999999999999999999999992+99",
"manifest_text": "./tool 00000000000000000000000000000000+0 0:0:submit_tool.cwl 0:0:blub.txt"
},
{
"uuid": "zzzzz-4zz18-zzzzzzzzzzzzzz4",
"portable_data_hash": "99999999999999999999999999999994+99",
"manifest_text": ""
},
{
"uuid": "zzzzz-4zz18-zzzzzzzzzzzzzz5",
"portable_data_hash": "99999999999999999999999999999995+99",
"manifest_text": ""
},
{
"uuid": "zzzzz-4zz18-zzzzzzzzzzzzzz6",
"portable_data_hash": "99999999999999999999999999999996+99",
"manifest_text": ""
}
)
stubs.api.collections().get().execute.return_value = {
"portable_data_hash": "99999999999999999999999999999993+99", "manifest_text": "./tool 00000000000000000000000000000000+0 0:0:submit_tool.cwl 0:0:blub.txt"}
stubs.expect_job_uuid = "zzzzz-8i9sb-zzzzzzzzzzzzzzz"
stubs.api.jobs().create().execute.return_value = {
"uuid": stubs.expect_job_uuid,
"state": "Queued",
}
stubs.expect_container_request_uuid = "zzzzz-xvhdp-zzzzzzzzzzzzzzz"
stubs.api.container_requests().create().execute.return_value = {
"uuid": stubs.expect_container_request_uuid,
"container_uuid": "zzzzz-dz642-zzzzzzzzzzzzzzz",
"state": "Queued"
}
stubs.expect_pipeline_template_uuid = "zzzzz-d1hrv-zzzzzzzzzzzzzzz"
stubs.api.pipeline_templates().create().execute.return_value = {
"uuid": stubs.expect_pipeline_template_uuid,
}
stubs.expect_job_spec = {
'runtime_constraints': {
'docker_image': 'arvados/jobs:'+arvados_cwl.__version__,
'min_ram_mb_per_node': 1024
},
'script_parameters': {
'x': {
'basename': 'blorp.txt',
'location': 'keep:99999999999999999999999999999992+99/blorp.txt',
'class': 'File'
},
'y': {
'basename': '99999999999999999999999999999998+99',
'location': 'keep:99999999999999999999999999999998+99',
'class': 'Directory'
},
'z': {
'basename': 'anonymous',
"listing": [{
"basename": "renamed.txt",
"class": "File",
"location": "keep:99999999999999999999999999999998+99/file1.txt"
}],
'class': 'Directory'
},
'cwl:tool':
'99999999999999999999999999999994+99/workflow.cwl#main'
},
'repository': 'arvados',
'script_version': 'master',
'minimum_script_version': '570509ab4d2ef93d870fd2b1f2eab178afb1bad9',
'script': 'cwl-runner'
}
stubs.pipeline_component = stubs.expect_job_spec.copy()
stubs.expect_pipeline_instance = {
'name': 'submit_wf.cwl',
'state': 'RunningOnServer',
'owner_uuid': None,
"components": {
"cwl-runner": {
'runtime_constraints': {'docker_image': 'arvados/jobs:'+arvados_cwl.__version__, 'min_ram_mb_per_node': 1024},
'script_parameters': {
'y': {"value": {'basename': '99999999999999999999999999999998+99', 'location': 'keep:99999999999999999999999999999998+99', 'class': 'Directory'}},
'x': {"value": {'basename': 'blorp.txt', 'class': 'File', 'location': 'keep:99999999999999999999999999999992+99/blorp.txt'}},
'z': {"value": {'basename': 'anonymous', 'class': 'Directory',
'listing': [
{'basename': 'renamed.txt', 'class': 'File', 'location': 'keep:99999999999999999999999999999998+99/file1.txt'}
]}},
'cwl:tool': '99999999999999999999999999999994+99/workflow.cwl#main',
'arv:enable_reuse': True,
'arv:on_error': 'continue'
},
'repository': 'arvados',
'script_version': 'master',
'minimum_script_version': '570509ab4d2ef93d870fd2b1f2eab178afb1bad9',
'script': 'cwl-runner',
'job': {'state': 'Queued', 'uuid': 'zzzzz-8i9sb-zzzzzzzzzzzzzzz'}
}
}
}
stubs.pipeline_create = copy.deepcopy(stubs.expect_pipeline_instance)
stubs.expect_pipeline_uuid = "zzzzz-d1hrv-zzzzzzzzzzzzzzz"
stubs.pipeline_create["uuid"] = stubs.expect_pipeline_uuid
stubs.pipeline_with_job = copy.deepcopy(stubs.pipeline_create)
stubs.pipeline_with_job["components"]["cwl-runner"]["job"] = {
"uuid": "zzzzz-8i9sb-zzzzzzzzzzzzzzz",
"state": "Queued"
}
stubs.api.pipeline_instances().create().execute.return_value = stubs.pipeline_create
stubs.api.pipeline_instances().get().execute.return_value = stubs.pipeline_with_job
with open("tests/wf/submit_wf_packed.cwl") as f:
expect_packed_workflow = yaml.round_trip_load(f)
stubs.expect_container_spec = {
'priority': 1,
'mounts': {
'/var/spool/cwl': {
'writable': True,
'kind': 'collection'
},
'/var/lib/cwl/workflow.json': {
'content': expect_packed_workflow,
'kind': 'json'
},
'stdout': {
'path': '/var/spool/cwl/cwl.output.json',
'kind': 'file'
},
'/var/lib/cwl/cwl.input.json': {
'kind': 'json',
'content': {
'y': {'basename': '99999999999999999999999999999998+99', 'location': 'keep:99999999999999999999999999999998+99', 'class': 'Directory'},
'x': {'basename': u'blorp.txt', 'class': 'File', 'location': u'keep:99999999999999999999999999999992+99/blorp.txt'},
'z': {'basename': 'anonymous', 'class': 'Directory', 'listing': [
{'basename': 'renamed.txt', 'class': 'File', 'location': 'keep:99999999999999999999999999999998+99/file1.txt'}
]}
},
'kind': 'json'
}
},
'state': 'Committed',
'owner_uuid': None,
'command': ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
'--enable-reuse', '--on-error=continue',
'/var/lib/cwl/workflow.json#main', '/var/lib/cwl/cwl.input.json'],
'name': 'submit_wf.cwl',
'container_image': 'arvados/jobs:'+arvados_cwl.__version__,
'output_path': '/var/spool/cwl',
'cwd': '/var/spool/cwl',
'runtime_constraints': {
'API': True,
'vcpus': 1,
'ram': 1024*1024*1024
},
"properties": {}
}
stubs.expect_workflow_uuid = "zzzzz-7fd4e-zzzzzzzzzzzzzzz"
stubs.api.workflows().create().execute.return_value = {
"uuid": stubs.expect_workflow_uuid,
}
def update_mock(**kwargs):
stubs.updated_uuid = kwargs.get('uuid')
return mock.DEFAULT
stubs.api.workflows().update.side_effect = update_mock
stubs.api.workflows().update().execute.side_effect = lambda **kwargs: {
"uuid": stubs.updated_uuid,
}
return func(self, stubs, *args, **kwargs)
return wrapped
class TestSubmit(unittest.TestCase):
@mock.patch("arvados_cwl.runner.arv_docker_get_image")
@mock.patch("time.sleep")
@stubs
def test_submit(self, stubs, tm, arvdock):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=jobs", "--debug",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.collections().create.assert_has_calls([
mock.call(),
mock.call(body=JsonDiffMatcher({
'manifest_text':
'. 5bcc9fe8f8d5992e6cf418dc7ce4dbb3+16 0:16:blub.txt\n',
'replication_desired': None,
'name': 'submit_tool.cwl dependencies',
}), ensure_unique_name=True),
mock.call().execute(num_retries=4),
mock.call(body=JsonDiffMatcher({
'manifest_text':
'. 979af1245a12a1fed634d4222473bfdc+16 0:16:blorp.txt\n',
'replication_desired': None,
'name': 'submit_wf.cwl input',
}), ensure_unique_name=True),
mock.call().execute(num_retries=4)])
arvdock.assert_has_calls([
mock.call(stubs.api, {"class": "DockerRequirement", "dockerPull": "debian:8"}, True, None),
mock.call(stubs.api, {'dockerPull': 'arvados/jobs:'+arvados_cwl.__version__}, True, None)
])
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_no_reuse(self, stubs, tm):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=jobs", "--debug", "--disable-reuse",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["components"]["cwl-runner"]["script_parameters"]["arv:enable_reuse"] = {"value": False}
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_on_error(self, stubs, tm):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=jobs", "--debug", "--on-error=stop",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["components"]["cwl-runner"]["script_parameters"]["arv:on_error"] = "stop"
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_runner_ram(self, stubs, tm):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--debug", "--submit-runner-ram=2048",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["components"]["cwl-runner"]["runtime_constraints"]["min_ram_mb_per_node"] = 2048
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_invalid_runner_ram(self, stubs, tm):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--debug", "--submit-runner-ram=-2048",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 1)
@mock.patch("time.sleep")
@stubs
def test_submit_output_name(self, stubs, tm):
output_name = "test_output_name"
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--debug", "--output-name", output_name,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["components"]["cwl-runner"]["script_parameters"]["arv:output_name"] = output_name
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_pipeline_name(self, stubs, tm):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--debug", "--name=hello job 123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["name"] = "hello job 123"
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_output_tags(self, stubs, tm):
output_tags = "tag0,tag1,tag2"
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--debug", "--output-tags", output_tags,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["components"]["cwl-runner"]["script_parameters"]["arv:output_tags"] = output_tags
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@mock.patch("time.sleep")
@stubs
def test_submit_with_project_uuid(self, stubs, tm):
project_uuid = 'zzzzz-j7d0g-zzzzzzzzzzzzzzz'
exited = arvados_cwl.main(
["--submit", "--no-wait",
"--project-uuid", project_uuid,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
sys.stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["owner_uuid"] = project_uuid
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
@stubs
def test_submit_container(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
stubs.api.collections().create.assert_has_calls([
mock.call(),
mock.call(body=JsonDiffMatcher({
'manifest_text':
'. 5bcc9fe8f8d5992e6cf418dc7ce4dbb3+16 0:16:blub.txt\n',
'replication_desired': None,
'name': 'submit_tool.cwl dependencies',
}), ensure_unique_name=True),
mock.call().execute(num_retries=4),
mock.call(body=JsonDiffMatcher({
'manifest_text':
'. 979af1245a12a1fed634d4222473bfdc+16 0:16:blorp.txt\n',
'replication_desired': None,
'name': 'submit_wf.cwl input',
}), ensure_unique_name=True),
mock.call().execute(num_retries=4)])
expect_container = copy.deepcopy(stubs.expect_container_spec)
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_container_no_reuse(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--disable-reuse",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
expect_container = copy.deepcopy(stubs.expect_container_spec)
expect_container["command"] = ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
'--disable-reuse', '--on-error=continue',
'/var/lib/cwl/workflow.json#main', '/var/lib/cwl/cwl.input.json']
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_container_on_error(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--on-error=stop",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
expect_container = copy.deepcopy(stubs.expect_container_spec)
expect_container["command"] = ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
'--enable-reuse', '--on-error=stop',
'/var/lib/cwl/workflow.json#main', '/var/lib/cwl/cwl.input.json']
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_container_output_name(self, stubs):
output_name = "test_output_name"
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--output-name", output_name,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
expect_container = copy.deepcopy(stubs.expect_container_spec)
expect_container["command"] = ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
"--output-name="+output_name, '--enable-reuse', '--on-error=continue',
'/var/lib/cwl/workflow.json#main', '/var/lib/cwl/cwl.input.json']
expect_container["output_name"] = output_name
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_container_output_tags(self, stubs):
output_tags = "tag0,tag1,tag2"
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--output-tags", output_tags,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
expect_container = copy.deepcopy(stubs.expect_container_spec)
expect_container["command"] = ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
"--output-tags="+output_tags, '--enable-reuse', '--on-error=continue',
'/var/lib/cwl/workflow.json#main', '/var/lib/cwl/cwl.input.json']
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_container_runner_ram(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--submit-runner-ram=2048",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
expect_container = copy.deepcopy(stubs.expect_container_spec)
expect_container["runtime_constraints"]["ram"] = 2048*1024*1024
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@mock.patch("arvados.collection.CollectionReader")
@mock.patch("time.sleep")
@stubs
def test_submit_file_keepref(self, stubs, tm, collectionReader):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug",
"tests/wf/submit_keepref_wf.cwl"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
@mock.patch("arvados.collection.CollectionReader")
@mock.patch("time.sleep")
@stubs
def test_submit_keepref(self, stubs, tm, reader):
capture_stdout = cStringIO.StringIO()
with open("tests/wf/expect_arvworkflow.cwl") as f:
reader().open().__enter__().read.return_value = f.read()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug",
"keep:99999999999999999999999999999994+99/expect_arvworkflow.cwl#main", "-x", "XxX"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_container = {
'priority': 1,
'mounts': {
'/var/spool/cwl': {
'writable': True,
'kind': 'collection'
},
'stdout': {
'path': '/var/spool/cwl/cwl.output.json',
'kind': 'file'
},
'/var/lib/cwl/workflow': {
'portable_data_hash': '99999999999999999999999999999994+99',
'kind': 'collection'
},
'/var/lib/cwl/cwl.input.json': {
'content': {
'x': 'XxX'
},
'kind': 'json'
}
}, 'state': 'Committed',
'owner_uuid': None,
'output_path': '/var/spool/cwl',
'name': 'expect_arvworkflow.cwl#main',
'container_image': 'arvados/jobs:'+arvados_cwl.__version__,
'command': ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
'--enable-reuse', '--on-error=continue',
'/var/lib/cwl/workflow/expect_arvworkflow.cwl#main', '/var/lib/cwl/cwl.input.json'],
'cwd': '/var/spool/cwl',
'runtime_constraints': {
'API': True,
'vcpus': 1,
'ram': 1073741824
},
"properties": {}
}
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@mock.patch("arvados.collection.CollectionReader")
@mock.patch("time.sleep")
@stubs
def test_submit_jobs_keepref(self, stubs, tm, reader):
capture_stdout = cStringIO.StringIO()
with open("tests/wf/expect_arvworkflow.cwl") as f:
reader().open().__enter__().read.return_value = f.read()
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=jobs", "--debug",
"keep:99999999999999999999999999999994+99/expect_arvworkflow.cwl#main", "-x", "XxX"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
expect_pipeline["components"]["cwl-runner"]["script_parameters"]["x"] = "XxX"
del expect_pipeline["components"]["cwl-runner"]["script_parameters"]["y"]
del expect_pipeline["components"]["cwl-runner"]["script_parameters"]["z"]
expect_pipeline["components"]["cwl-runner"]["script_parameters"]["cwl:tool"] = "99999999999999999999999999999994+99/expect_arvworkflow.cwl#main"
expect_pipeline["name"] = "expect_arvworkflow.cwl#main"
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
@mock.patch("time.sleep")
@stubs
def test_submit_arvworkflow(self, stubs, tm):
capture_stdout = cStringIO.StringIO()
with open("tests/wf/expect_arvworkflow.cwl") as f:
stubs.api.workflows().get().execute.return_value = {"definition": f.read(), "name": "a test workflow"}
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug",
"962eh-7fd4e-gkbzl62qqtfig37", "-x", "XxX"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_container = {
'priority': 1,
'mounts': {
'/var/spool/cwl': {
'writable': True,
'kind': 'collection'
},
'stdout': {
'path': '/var/spool/cwl/cwl.output.json',
'kind': 'file'
},
'/var/lib/cwl/workflow.json': {
'kind': 'json',
'content': {
'cwlVersion': 'v1.0',
'$graph': [
{
'id': '#main',
'inputs': [
{'type': 'string', 'id': '#main/x'}
],
'steps': [
{'in': [{'source': '#main/x', 'id': '#main/step1/x'}],
'run': '#submit_tool.cwl',
'id': '#main/step1',
'out': []}
],
'class': 'Workflow',
'outputs': []
},
{
'inputs': [
{
'inputBinding': {'position': 1},
'type': 'string',
'id': '#submit_tool.cwl/x'}
],
'requirements': [
{'dockerPull': 'debian:8', 'class': 'DockerRequirement'}
],
'id': '#submit_tool.cwl',
'outputs': [],
'baseCommand': 'cat',
'class': 'CommandLineTool'
}
]
}
},
'/var/lib/cwl/cwl.input.json': {
'content': {
'x': 'XxX'
},
'kind': 'json'
}
}, 'state': 'Committed',
'owner_uuid': None,
'output_path': '/var/spool/cwl',
'name': 'a test workflow',
'container_image': 'arvados/jobs:'+arvados_cwl.__version__,
'command': ['arvados-cwl-runner', '--local', '--api=containers', '--no-log-timestamps',
'--enable-reuse', '--on-error=continue',
'/var/lib/cwl/workflow.json#main', '/var/lib/cwl/cwl.input.json'],
'cwd': '/var/spool/cwl',
'runtime_constraints': {
'API': True,
'vcpus': 1,
'ram': 1073741824
},
"properties": {
"template_uuid": "962eh-7fd4e-gkbzl62qqtfig37"
}
}
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_container_name(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--name=hello container 123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
expect_container = copy.deepcopy(stubs.expect_container_spec)
expect_container["name"] = "hello container 123"
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@stubs
def test_submit_job_runner_image(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=jobs", "--debug", "--submit-runner-image=arvados/jobs:123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
stubs.expect_pipeline_instance["components"]["cwl-runner"]["runtime_constraints"]["docker_image"] = "arvados/jobs:123"
expect_pipeline = copy.deepcopy(stubs.expect_pipeline_instance)
stubs.api.pipeline_instances().create.assert_called_with(
body=JsonDiffMatcher(expect_pipeline))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_uuid + '\n')
@stubs
def test_submit_container_runner_image(self, stubs):
capture_stdout = cStringIO.StringIO()
try:
exited = arvados_cwl.main(
["--submit", "--no-wait", "--api=containers", "--debug", "--submit-runner-image=arvados/jobs:123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api, keep_client=stubs.keep_client)
self.assertEqual(exited, 0)
except:
logging.exception("")
stubs.expect_container_spec["container_image"] = "arvados/jobs:123"
expect_container = copy.deepcopy(stubs.expect_container_spec)
stubs.api.container_requests().create.assert_called_with(
body=JsonDiffMatcher(expect_container))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_container_request_uuid + '\n')
@mock.patch("arvados.commands.keepdocker.find_one_image_hash")
@mock.patch("cwltool.docker.get_image")
@mock.patch("arvados.api")
def test_arvados_jobs_image(self, api, get_image, find_one_image_hash):
arvrunner = mock.MagicMock()
arvrunner.project_uuid = ""
api.return_value = mock.MagicMock()
arvrunner.api = api.return_value
arvrunner.api.links().list().execute.side_effect = ({"items": [{"created_at": "",
"head_uuid": "zzzzz-4zz18-zzzzzzzzzzzzzzb",
"link_class": "docker_image_repo+tag",
"name": "arvados/jobs:"+arvados_cwl.__version__,
"owner_uuid": "",
"properties": {"image_timestamp": ""}}], "items_available": 1, "offset": 0},
{"items": [{"created_at": "",
"head_uuid": "",
"link_class": "docker_image_hash",
"name": "123456",
"owner_uuid": "",
"properties": {"image_timestamp": ""}}], "items_available": 1, "offset": 0}
)
find_one_image_hash.return_value = "123456"
arvrunner.api.collections().list().execute.side_effect = ({"items": [{"uuid": "zzzzz-4zz18-zzzzzzzzzzzzzzb",
"owner_uuid": "",
"manifest_text": "",
"properties": ""
}], "items_available": 1, "offset": 0},)
arvrunner.api.collections().create().execute.return_value = {"uuid": ""}
self.assertEqual("arvados/jobs:"+arvados_cwl.__version__,
arvados_cwl.runner.arvados_jobs_image(arvrunner, "arvados/jobs:"+arvados_cwl.__version__))
class TestCreateTemplate(unittest.TestCase):
existing_template_uuid = "zzzzz-d1hrv-validworkfloyml"
def _adjust_script_params(self, expect_component):
expect_component['script_parameters']['x'] = {
'dataclass': 'File',
'required': True,
'type': 'File',
'value': '99999999999999999999999999999992+99/blorp.txt',
}
expect_component['script_parameters']['y'] = {
'dataclass': 'Collection',
'required': True,
'type': 'Directory',
'value': '99999999999999999999999999999998+99',
}
expect_component['script_parameters']['z'] = {
'dataclass': 'Collection',
'required': True,
'type': 'Directory',
}
@stubs
def test_create(self, stubs):
project_uuid = 'zzzzz-j7d0g-zzzzzzzzzzzzzzz'
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--create-workflow", "--debug",
"--api=jobs",
"--project-uuid", project_uuid,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.pipeline_instances().create.refute_called()
stubs.api.jobs().create.refute_called()
expect_component = copy.deepcopy(stubs.expect_job_spec)
self._adjust_script_params(expect_component)
expect_template = {
"components": {
"submit_wf.cwl": expect_component,
},
"name": "submit_wf.cwl",
"owner_uuid": project_uuid,
}
stubs.api.pipeline_templates().create.assert_called_with(
body=JsonDiffMatcher(expect_template), ensure_unique_name=True)
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_template_uuid + '\n')
@stubs
def test_create_name(self, stubs):
project_uuid = 'zzzzz-j7d0g-zzzzzzzzzzzzzzz'
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--create-workflow", "--debug",
"--project-uuid", project_uuid,
"--api=jobs",
"--name", "testing 123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.pipeline_instances().create.refute_called()
stubs.api.jobs().create.refute_called()
expect_component = copy.deepcopy(stubs.expect_job_spec)
self._adjust_script_params(expect_component)
expect_template = {
"components": {
"testing 123": expect_component,
},
"name": "testing 123",
"owner_uuid": project_uuid,
}
stubs.api.pipeline_templates().create.assert_called_with(
body=JsonDiffMatcher(expect_template), ensure_unique_name=True)
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_pipeline_template_uuid + '\n')
@stubs
def test_update_name(self, stubs):
project_uuid = 'zzzzz-j7d0g-zzzzzzzzzzzzzzz'
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--update-workflow", self.existing_template_uuid,
"--debug",
"--project-uuid", project_uuid,
"--api=jobs",
"--name", "testing 123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.pipeline_instances().create.refute_called()
stubs.api.jobs().create.refute_called()
expect_component = copy.deepcopy(stubs.expect_job_spec)
self._adjust_script_params(expect_component)
expect_template = {
"components": {
"testing 123": expect_component,
},
"name": "testing 123",
"owner_uuid": project_uuid,
}
stubs.api.pipeline_templates().create.refute_called()
stubs.api.pipeline_templates().update.assert_called_with(
body=JsonDiffMatcher(expect_template), uuid=self.existing_template_uuid)
self.assertEqual(capture_stdout.getvalue(),
self.existing_template_uuid + '\n')
class TestCreateWorkflow(unittest.TestCase):
existing_workflow_uuid = "zzzzz-7fd4e-validworkfloyml"
expect_workflow = open("tests/wf/expect_packed.cwl").read()
@stubs
def test_create(self, stubs):
project_uuid = 'zzzzz-j7d0g-zzzzzzzzzzzzzzz'
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--create-workflow", "--debug",
"--api=containers",
"--project-uuid", project_uuid,
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.pipeline_templates().create.refute_called()
stubs.api.container_requests().create.refute_called()
body = {
"workflow": {
"owner_uuid": project_uuid,
"name": "submit_wf.cwl",
"description": "",
"definition": self.expect_workflow,
}
}
stubs.api.workflows().create.assert_called_with(
body=JsonDiffMatcher(body))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_workflow_uuid + '\n')
@stubs
def test_create_name(self, stubs):
project_uuid = 'zzzzz-j7d0g-zzzzzzzzzzzzzzz'
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--create-workflow", "--debug",
"--api=containers",
"--project-uuid", project_uuid,
"--name", "testing 123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.pipeline_templates().create.refute_called()
stubs.api.container_requests().create.refute_called()
body = {
"workflow": {
"owner_uuid": project_uuid,
"name": "testing 123",
"description": "",
"definition": self.expect_workflow,
}
}
stubs.api.workflows().create.assert_called_with(
body=JsonDiffMatcher(body))
self.assertEqual(capture_stdout.getvalue(),
stubs.expect_workflow_uuid + '\n')
@stubs
def test_incompatible_api(self, stubs):
capture_stderr = cStringIO.StringIO()
logging.getLogger('arvados.cwl-runner').addHandler(
logging.StreamHandler(capture_stderr))
exited = arvados_cwl.main(
["--update-workflow", self.existing_workflow_uuid,
"--api=jobs",
"--debug",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
sys.stderr, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 1)
self.assertRegexpMatches(
capture_stderr.getvalue(),
"--update-workflow arg '{}' uses 'containers' API, but --api='jobs' specified".format(self.existing_workflow_uuid))
@stubs
def test_update(self, stubs):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--update-workflow", self.existing_workflow_uuid,
"--debug",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
body = {
"workflow": {
"name": "submit_wf.cwl",
"description": "",
"definition": self.expect_workflow,
}
}
stubs.api.workflows().update.assert_called_with(
uuid=self.existing_workflow_uuid,
body=JsonDiffMatcher(body))
self.assertEqual(capture_stdout.getvalue(),
self.existing_workflow_uuid + '\n')
@stubs
def test_update_name(self, stubs):
capture_stdout = cStringIO.StringIO()
exited = arvados_cwl.main(
["--update-workflow", self.existing_workflow_uuid,
"--debug", "--name", "testing 123",
"tests/wf/submit_wf.cwl", "tests/submit_test_job.json"],
capture_stdout, sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
body = {
"workflow": {
"name": "testing 123",
"description": "",
"definition": self.expect_workflow,
}
}
stubs.api.workflows().update.assert_called_with(
uuid=self.existing_workflow_uuid,
body=JsonDiffMatcher(body))
self.assertEqual(capture_stdout.getvalue(),
self.existing_workflow_uuid + '\n')
class TestTemplateInputs(unittest.TestCase):
expect_template = {
"components": {
"inputs_test.cwl": {
'runtime_constraints': {
'docker_image': 'arvados/jobs:'+arvados_cwl.__version__,
'min_ram_mb_per_node': 1024
},
'script_parameters': {
'cwl:tool':
'99999999999999999999999999999992+99/workflow.cwl#main',
'optionalFloatInput': None,
'fileInput': {
'type': 'File',
'dataclass': 'File',
'required': True,
'title': "It's a file; we expect to find some characters in it.",
'description': 'If there were anything further to say, it would be said here,\nor here.'
},
'floatInput': {
'type': 'float',
'dataclass': 'number',
'required': True,
'title': 'Floats like a duck',
'default': 0.1,
'value': 0.1,
},
'optionalFloatInput': {
'type': ['null', 'float'],
'dataclass': 'number',
'required': False,
},
'boolInput': {
'type': 'boolean',
'dataclass': 'boolean',
'required': True,
'title': 'True or false?',
},
},
'repository': 'arvados',
'script_version': 'master',
'minimum_script_version': '570509ab4d2ef93d870fd2b1f2eab178afb1bad9',
'script': 'cwl-runner',
},
},
"name": "inputs_test.cwl",
}
@stubs
def test_inputs_empty(self, stubs):
exited = arvados_cwl.main(
["--create-template",
"tests/wf/inputs_test.cwl", "tests/order/empty_order.json"],
cStringIO.StringIO(), sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
stubs.api.pipeline_templates().create.assert_called_with(
body=JsonDiffMatcher(self.expect_template), ensure_unique_name=True)
@stubs
def test_inputs(self, stubs):
exited = arvados_cwl.main(
["--create-template",
"tests/wf/inputs_test.cwl", "tests/order/inputs_test_order.json"],
cStringIO.StringIO(), sys.stderr, api_client=stubs.api)
self.assertEqual(exited, 0)
expect_template = copy.deepcopy(self.expect_template)
params = expect_template[
"components"]["inputs_test.cwl"]["script_parameters"]
params["fileInput"]["value"] = '99999999999999999999999999999992+99/blorp.txt'
params["cwl:tool"] = '99999999999999999999999999999994+99/workflow.cwl#main'
params["floatInput"]["value"] = 1.234
params["boolInput"]["value"] = True
stubs.api.pipeline_templates().create.assert_called_with(
body=JsonDiffMatcher(expect_template), ensure_unique_name=True)
| 42.854132
| 170
| 0.548411
| 4,744
| 50,825
| 5.649452
| 0.074831
| 0.027163
| 0.013955
| 0.02388
| 0.795157
| 0.748069
| 0.727921
| 0.701802
| 0.694004
| 0.684079
| 0
| 0.04354
| 0.318997
| 50,825
| 1,185
| 171
| 42.890295
| 0.730787
| 0
| 0
| 0.619417
| 0
| 0
| 0.245903
| 0.102194
| 0
| 0
| 0
| 0
| 0.08835
| 1
| 0.036893
| false
| 0.000971
| 0.016505
| 0.000971
| 0.066019
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a43013b7968759fcfdbb2461db7345083080107c
| 355
|
py
|
Python
|
gquant/cuindicator/__init__.py
|
miguelangel/gQuant
|
0bb5e392ce703d58baaf60668006e9a1f71d64ce
|
[
"Apache-2.0"
] | 2
|
2021-08-13T03:02:22.000Z
|
2022-03-13T15:00:01.000Z
|
gquant/cuindicator/__init__.py
|
miguelangel/gQuant
|
0bb5e392ce703d58baaf60668006e9a1f71d64ce
|
[
"Apache-2.0"
] | 3
|
2020-10-06T16:07:34.000Z
|
2021-04-28T20:30:14.000Z
|
gquant/cuindicator/__init__.py
|
miguelangel/gQuant
|
0bb5e392ce703d58baaf60668006e9a1f71d64ce
|
[
"Apache-2.0"
] | null | null | null |
from .ewm import Ewm
from .indicator import * # noqa: F403
from .pewm import PEwm
from .rolling import Rolling
from .util import (shift, diff, substract, summation,
multiply, division, scale, cumsum)
__all__ = ["Ewm", "PEwm", "Rolling", "shift", "diff", "substract",
"summation", "multiply", "division", "scale", "cumsum"]
| 35.5
| 66
| 0.642254
| 40
| 355
| 5.6
| 0.45
| 0.080357
| 0.160714
| 0.241071
| 0.482143
| 0.482143
| 0.482143
| 0.482143
| 0
| 0
| 0
| 0.010714
| 0.211268
| 355
| 9
| 67
| 39.444444
| 0.789286
| 0.028169
| 0
| 0
| 0
| 0
| 0.198251
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.625
| 0
| 0.625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a4469c6f07cac8a79a9455db3229c5a1f7adc714
| 298
|
py
|
Python
|
commercia/offers/config.py
|
commoncode/economica
|
3de2415d7f0e0e81cc6ac7a054839daeb1ba6748
|
[
"IJG"
] | 2
|
2015-09-14T10:13:39.000Z
|
2015-09-14T12:53:45.000Z
|
commercia/offers/config.py
|
commoncode/economica
|
3de2415d7f0e0e81cc6ac7a054839daeb1ba6748
|
[
"IJG"
] | null | null | null |
commercia/offers/config.py
|
commoncode/economica
|
3de2415d7f0e0e81cc6ac7a054839daeb1ba6748
|
[
"IJG"
] | null | null | null |
from django.apps import AppConfig
from django.utils.importlib import import_module
class OffersConfig(AppConfig):
name = 'commercia.offers'
verbose_name = "Offers"
def ready(self):
import_module('commercia.offers.collections')
import_module('commercia.offers.signals')
| 29.8
| 53
| 0.741611
| 34
| 298
| 6.382353
| 0.558824
| 0.165899
| 0.193548
| 0.248848
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16443
| 298
| 10
| 54
| 29.8
| 0.871486
| 0
| 0
| 0
| 0
| 0
| 0.247492
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.5
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a44b6adc9aad47b1e7a576d3052c852674c75f05
| 1,194
|
py
|
Python
|
backend/core/service/column_generator/faker_generator/person.py
|
pecimuth/synthia
|
a54265ca6f772959d395de789bfe16bf054d97ad
|
[
"MIT"
] | null | null | null |
backend/core/service/column_generator/faker_generator/person.py
|
pecimuth/synthia
|
a54265ca6f772959d395de789bfe16bf054d97ad
|
[
"MIT"
] | null | null | null |
backend/core/service/column_generator/faker_generator/person.py
|
pecimuth/synthia
|
a54265ca6f772959d395de789bfe16bf054d97ad
|
[
"MIT"
] | null | null | null |
from typing import Optional
from core.service.column_generator.base import GeneratorCategory, RegisteredGenerator
from core.service.column_generator.faker_generator.base import FakerGenerator
from core.service.types import Types
class FakerPersonGenerator(FakerGenerator[str]):
category = GeneratorCategory.PERSON
@classmethod
def only_for_type(cls) -> Optional[Types]:
return Types.STRING
class FirstNameGenerator(RegisteredGenerator, FakerPersonGenerator):
"""Generate human first names."""
provider = 'first_name'
class LastNameGenerator(RegisteredGenerator, FakerPersonGenerator):
"""Generate human last names."""
provider = 'last_name'
class PhoneNumberGenerator(RegisteredGenerator, FakerPersonGenerator):
"""Generate phone numbers in various formats."""
provider = 'phone_number'
class EmailGenerator(RegisteredGenerator, FakerPersonGenerator):
provider = 'email'
class UserNameGenerator(RegisteredGenerator, FakerPersonGenerator):
"""Generate realistic user names."""
provider = 'user_name'
class NameGenerator(RegisteredGenerator, FakerPersonGenerator):
"""Generate human names."""
provider = 'name'
| 24.875
| 85
| 0.770519
| 108
| 1,194
| 8.435185
| 0.453704
| 0.256861
| 0.257958
| 0.17124
| 0.065862
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143216
| 1,194
| 47
| 86
| 25.404255
| 0.890518
| 0.125628
| 0
| 0
| 0
| 0
| 0.048134
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.047619
| false
| 0
| 0.190476
| 0.047619
| 0.952381
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
a45fe0bfc676cd6c402ac0c0888147ca834c13e5
| 267
|
py
|
Python
|
pelican_events/signals/__init__.py
|
rackerlabs/pelican-events
|
cde148d095b7cf6fa1b4ba33ea750a8636ea9090
|
[
"Apache-2.0"
] | null | null | null |
pelican_events/signals/__init__.py
|
rackerlabs/pelican-events
|
cde148d095b7cf6fa1b4ba33ea750a8636ea9090
|
[
"Apache-2.0"
] | null | null | null |
pelican_events/signals/__init__.py
|
rackerlabs/pelican-events
|
cde148d095b7cf6fa1b4ba33ea750a8636ea9090
|
[
"Apache-2.0"
] | null | null | null |
from blinker import signal
event_generator_init = signal('event_generator_init')
event_generator_finalized = signal('event_generator_finalized')
event_generator_preread = signal('event_generator_preread')
event_generator_context = signal('event_generator_context')
| 33.375
| 63
| 0.857678
| 32
| 267
| 6.65625
| 0.3125
| 0.525822
| 0.469484
| 0.225352
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067416
| 267
| 7
| 64
| 38.142857
| 0.855422
| 0
| 0
| 0
| 0
| 0
| 0.343396
| 0.267925
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a46141210cf1b5c50a5a3f99d060f6c9921406ef
| 534
|
py
|
Python
|
generator.py
|
ashishrao7/motion_contrast_3D
|
1914dc6df8555f6720f445e9476aa759e423cc8c
|
[
"MIT"
] | null | null | null |
generator.py
|
ashishrao7/motion_contrast_3D
|
1914dc6df8555f6720f445e9476aa759e423cc8c
|
[
"MIT"
] | 1
|
2020-03-06T16:40:47.000Z
|
2020-03-06T18:33:47.000Z
|
generator.py
|
ashishrao7/motion_contrast_3D
|
1914dc6df8555f6720f445e9476aa759e423cc8c
|
[
"MIT"
] | 1
|
2022-02-26T21:34:34.000Z
|
2022-02-26T21:34:34.000Z
|
import pattern
def main():
#line = pattern.Line(260, 346, 60, 1)
#line.generate_moving_line('vertical')
#line.generate_moving_line('horizontal')
#line.generate_moving_line('tl_diag')
#line.generate_moving_line('bl_diag')
wave_image = pattern.wave_2d(260, 346, 30, 10, 1)
wave_image.generate_moving_wave('vertical', 'square')
wave_image.generate_moving_wave('vertical', 'sine')
#sine_image.generate_moving_sine('horizontal')
print('generation done')
if __name__=='__main__':
main()
| 28.105263
| 57
| 0.700375
| 70
| 534
| 4.928571
| 0.4
| 0.284058
| 0.208696
| 0.255072
| 0.202899
| 0.202899
| 0
| 0
| 0
| 0
| 0
| 0.046667
| 0.157303
| 534
| 19
| 58
| 28.105263
| 0.72
| 0.428839
| 0
| 0
| 1
| 0
| 0.163333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.125
| 0
| 0.25
| 0.125
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a49b9a3bf89e8e52c235f972667f207df7eaa41d
| 333
|
py
|
Python
|
pyslab/core/locations.py
|
benhorsburgh/pyslab
|
d495ca87110f1ac0fb1b49df49024f590bbb6c5c
|
[
"MIT"
] | null | null | null |
pyslab/core/locations.py
|
benhorsburgh/pyslab
|
d495ca87110f1ac0fb1b49df49024f590bbb6c5c
|
[
"MIT"
] | null | null | null |
pyslab/core/locations.py
|
benhorsburgh/pyslab
|
d495ca87110f1ac0fb1b49df49024f590bbb6c5c
|
[
"MIT"
] | null | null | null |
from typing import List
from .types import Cell
def box_id(cell: Cell) -> int:
return (cell.row // 3) * 3 + (cell.column // 3)
def row_house_ids() -> List[int]:
return list(range(9))
def column_house_ids() -> List[int]:
return list(range(10, 18))
def box_house_ids() -> List[int]:
return list(range(19, 27))
| 16.65
| 51
| 0.633634
| 54
| 333
| 3.777778
| 0.407407
| 0.176471
| 0.176471
| 0.220588
| 0.441176
| 0.441176
| 0.441176
| 0
| 0
| 0
| 0
| 0.045283
| 0.204204
| 333
| 19
| 52
| 17.526316
| 0.724528
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 4
|
f10129be0e71ad8c5f65e28b28ca3e29eeb39bb1
| 94
|
py
|
Python
|
client/console/task_cs.py
|
eonuallain/dcomp
|
49e65b8576ef663b8566566000b24f634ddf33aa
|
[
"MIT"
] | null | null | null |
client/console/task_cs.py
|
eonuallain/dcomp
|
49e65b8576ef663b8566566000b24f634ddf33aa
|
[
"MIT"
] | null | null | null |
client/console/task_cs.py
|
eonuallain/dcomp
|
49e65b8576ef663b8566566000b24f634ddf33aa
|
[
"MIT"
] | null | null | null |
from task_base import TaskBase
class TaskCS(TaskBase):
def run(self):
print(self)
| 13.428571
| 30
| 0.691489
| 13
| 94
| 4.923077
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.223404
| 94
| 6
| 31
| 15.666667
| 0.876712
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0.25
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
f10d7af7d4bebbf857ae84697ac625165c495280
| 1,349
|
py
|
Python
|
livia/input/FrameInputDecorator.py
|
sing-group/livia-core
|
5f0db6ea0e1791703719c49f0cbd0f3e559d42a6
|
[
"MIT"
] | null | null | null |
livia/input/FrameInputDecorator.py
|
sing-group/livia-core
|
5f0db6ea0e1791703719c49f0cbd0f3e559d42a6
|
[
"MIT"
] | null | null | null |
livia/input/FrameInputDecorator.py
|
sing-group/livia-core
|
5f0db6ea0e1791703719c49f0cbd0f3e559d42a6
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
from typing import Tuple, Optional
from numpy import ndarray
from livia.input.FrameInput import FrameInput
class FrameInputDecorator(FrameInput, ABC):
def __init__(self, decorated_input: FrameInput):
super().__init__()
self._decorated_input: FrameInput = decorated_input
@property
def decorated_input(self) -> FrameInput:
return self._decorated_input
def play(self) -> None:
self._decorated_input.play()
def get_current_frame(self) -> Optional[ndarray]:
return self._decorated_input.get_current_frame()
def get_current_frame_index(self) -> Optional[int]:
return self._decorated_input.get_current_frame_index()
def next_frame(self) -> Tuple[Optional[int], Optional[ndarray]]:
next_frame = self._decorated_input.next_frame()
return self._manipulate_frame(next_frame)
def get_fps(self) -> int:
return self._decorated_input.get_fps()
def get_frame_size(self) -> Tuple[int, int]:
return self._decorated_input.get_frame_size()
@abstractmethod
def _manipulate_frame(self, frame: Tuple[Optional[int], Optional[ndarray]]) -> \
Tuple[Optional[int], Optional[ndarray]]:
raise NotImplementedError()
def close(self) -> None:
self._decorated_input.close()
| 29.326087
| 84
| 0.704225
| 160
| 1,349
| 5.60625
| 0.21875
| 0.187291
| 0.200669
| 0.133779
| 0.39019
| 0.157191
| 0.086957
| 0
| 0
| 0
| 0
| 0
| 0.196442
| 1,349
| 45
| 85
| 29.977778
| 0.827491
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.133333
| 0.166667
| 0.7
| 0
| 0
| 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
| 4
|
f1176eb07a1e4cf0bcd5287f3a762e2084246342
| 126
|
py
|
Python
|
WebMirror/management/rss_parser_funcs/feed_parse_extractExpandablefemaleBlogspotCom.py
|
fake-name/ReadableWebProxy
|
ed5c7abe38706acc2684a1e6cd80242a03c5f010
|
[
"BSD-3-Clause"
] | 193
|
2016-08-02T22:04:35.000Z
|
2022-03-09T20:45:41.000Z
|
WebMirror/management/rss_parser_funcs/feed_parse_extractExpandablefemaleBlogspotCom.py
|
fake-name/ReadableWebProxy
|
ed5c7abe38706acc2684a1e6cd80242a03c5f010
|
[
"BSD-3-Clause"
] | 533
|
2016-08-23T20:48:23.000Z
|
2022-03-28T15:55:13.000Z
|
WebMirror/management/rss_parser_funcs/feed_parse_extractExpandablefemaleBlogspotCom.py
|
rrosajp/ReadableWebProxy
|
ed5c7abe38706acc2684a1e6cd80242a03c5f010
|
[
"BSD-3-Clause"
] | 19
|
2015-08-13T18:01:08.000Z
|
2021-07-12T17:13:09.000Z
|
def extractExpandablefemaleBlogspotCom(item):
'''
DISABLED
Parser for 'expandablefemale.blogspot.com'
'''
return None
| 15.75
| 45
| 0.753968
| 11
| 126
| 8.636364
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 126
| 8
| 46
| 15.75
| 0.87963
| 0.420635
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
f125b78a417e8406008b5e709431f7cbdc42edc8
| 719
|
py
|
Python
|
src/app/user/models.py
|
jamshidyerzakov/fastapi-blog
|
26828556482b1b5824781b321558776b5cd882ea
|
[
"MIT"
] | null | null | null |
src/app/user/models.py
|
jamshidyerzakov/fastapi-blog
|
26828556482b1b5824781b321558776b5cd882ea
|
[
"MIT"
] | null | null | null |
src/app/user/models.py
|
jamshidyerzakov/fastapi-blog
|
26828556482b1b5824781b321558776b5cd882ea
|
[
"MIT"
] | null | null | null |
from tortoise import fields, models
class User(models.Model):
""" Model user """
username = fields.CharField(max_length=100, unique=True)
password = fields.CharField(max_length=100)
email = fields.CharField(max_length=100, unique=True)
first_name = fields.CharField(max_length=100)
last_name = fields.CharField(max_length=100, null=True)
image = fields.CharField(max_length=100, null=True)
bio = fields.TextField(null=True)
date_join = fields.DatetimeField(auto_now_add=True)
last_login = fields.DatetimeField(null=True)
is_active = fields.BooleanField(default=False)
is_staff = fields.BooleanField(default=False)
is_superuser = fields.BooleanField(default=False)
| 37.842105
| 60
| 0.742698
| 94
| 719
| 5.521277
| 0.404255
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| 0.277457
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| 0.147427
| 719
| 18
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| 39.944444
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| 0
| 0
| 1
| 0
|
0
| 4
|
f14302a761653c284ef0e574997e05e61cb21611
| 610
|
py
|
Python
|
nanoblocks/base/nanoblocks_class.py
|
ipazc/nanoblocks
|
d7433b60029e4bcda4c2c802c3ff05c53d7b220a
|
[
"MIT"
] | 3
|
2021-03-16T23:59:37.000Z
|
2021-12-11T13:52:46.000Z
|
nanoblocks/base/nanoblocks_class.py
|
ipazc/nanoblocks
|
d7433b60029e4bcda4c2c802c3ff05c53d7b220a
|
[
"MIT"
] | 1
|
2021-04-02T14:11:02.000Z
|
2021-06-16T00:03:33.000Z
|
nanoblocks/base/nanoblocks_class.py
|
ipazc/nanoblocks
|
d7433b60029e4bcda4c2c802c3ff05c53d7b220a
|
[
"MIT"
] | null | null | null |
class NanoblocksClass:
"""
Global class that should be inherited by any Nanoblocks class that requires access to the network.
"""
def __init__(self, nano_network):
self._nano_network = nano_network
@property
def network(self):
return self._nano_network
@property
def node_backend(self):
return self.network.node_backend
@property
def work_server(self):
return self.network.work_server
@property
def accounts(self):
return self.network.accounts
@property
def blocks(self):
return self.network.blocks
| 21.034483
| 102
| 0.663934
| 72
| 610
| 5.430556
| 0.375
| 0.140665
| 0.179028
| 0.214834
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.265574
| 610
| 28
| 103
| 21.785714
| 0.872768
| 0.160656
| 0
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.277778
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
f15869078cd0dd7a1fe8a9ab38ea4519aefe6a92
| 195
|
py
|
Python
|
pypcl/__init__.py
|
r9y9/pypcl
|
0528aacb8cfa1ceea2cbb3c7e3f20a1f066f23bf
|
[
"MIT"
] | null | null | null |
pypcl/__init__.py
|
r9y9/pypcl
|
0528aacb8cfa1ceea2cbb3c7e3f20a1f066f23bf
|
[
"MIT"
] | null | null | null |
pypcl/__init__.py
|
r9y9/pypcl
|
0528aacb8cfa1ceea2cbb3c7e3f20a1f066f23bf
|
[
"MIT"
] | null | null | null |
# coding: utf-8
from __future__ import division, print_function, absolute_import
import pkg_resources
__version__ = pkg_resources.get_distribution('pypcl').version
from pypcl.common import *
| 19.5
| 64
| 0.815385
| 25
| 195
| 5.84
| 0.68
| 0.164384
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00578
| 0.112821
| 195
| 9
| 65
| 21.666667
| 0.83815
| 0.066667
| 0
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| 0
| 0
| 0.027778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0.25
| 1
| 0
| 0
| null | 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
f15fe7f3ec30388e1673de1ba753c2248eade0f8
| 225
|
py
|
Python
|
loggers.py
|
IanVzs/WindWhisper
|
742bc3e08d3edbd3ad9112c3149c0ad291b5e762
|
[
"MIT"
] | 2
|
2020-11-18T11:01:24.000Z
|
2020-11-19T16:10:59.000Z
|
loggers.py
|
IanVzs/WindWhisper
|
742bc3e08d3edbd3ad9112c3149c0ad291b5e762
|
[
"MIT"
] | 2
|
2020-09-10T06:20:28.000Z
|
2020-11-18T10:45:19.000Z
|
loggers.py
|
IanVzs/WindWhisper
|
742bc3e08d3edbd3ad9112c3149c0ad291b5e762
|
[
"MIT"
] | null | null | null |
import logging
import logging.config
logging.config.fileConfig('logging.ini')
# create wea logger
weatherLog = logging.getLogger('weatherLog')
debugLog = logging.getLogger('debugLog')
scheLog = logging.getLogger('scheLog')
| 22.5
| 44
| 0.791111
| 25
| 225
| 7.12
| 0.48
| 0.269663
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 225
| 9
| 45
| 25
| 0.868293
| 0.075556
| 0
| 0
| 0
| 0
| 0.174757
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
f1853efb3d6e89cce0865bf2ee1ca56c64894ddc
| 141
|
py
|
Python
|
Chapter_8/regexFileSearch.py
|
TravisLeeWolf/ATBS
|
9075eabaa0a788f58435eff9e0df488806a0770b
|
[
"Apache-2.0"
] | null | null | null |
Chapter_8/regexFileSearch.py
|
TravisLeeWolf/ATBS
|
9075eabaa0a788f58435eff9e0df488806a0770b
|
[
"Apache-2.0"
] | null | null | null |
Chapter_8/regexFileSearch.py
|
TravisLeeWolf/ATBS
|
9075eabaa0a788f58435eff9e0df488806a0770b
|
[
"Apache-2.0"
] | null | null | null |
#! python3
# regexFileSearch.py - Opens all .txt files in a folder and searches for any matching line
# The results are printed to the screen
| 47
| 90
| 0.77305
| 23
| 141
| 4.73913
| 0.956522
| 0
| 0
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| 0
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| 0
| 0
| 0.008621
| 0.177305
| 141
| 3
| 91
| 47
| 0.931034
| 0.964539
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
74c22070f55c72054e96386544f10505ca9f792a
| 14,052
|
py
|
Python
|
solver.py
|
mahaitongdae/Approximate-dynamic-Programming
|
f03f9469f5018c55f06cf8fea2d5f629abc4078b
|
[
"Apache-2.0"
] | 7
|
2021-05-29T13:09:19.000Z
|
2022-03-27T03:40:08.000Z
|
solver.py
|
molumitu/Approximate-Dynamic-Programming
|
02dcc56ef7c20cbd4211f4eec6eb9acd86208f16
|
[
"Apache-2.0"
] | 2
|
2021-05-25T03:58:52.000Z
|
2021-12-14T18:58:01.000Z
|
solver.py
|
molumitu/Approximate-Dynamic-Programming
|
02dcc56ef7c20cbd4211f4eec6eb9acd86208f16
|
[
"Apache-2.0"
] | 5
|
2021-04-23T19:25:41.000Z
|
2021-12-06T12:52:36.000Z
|
"""
<Reinforcement Learning and Control>(Year 2020)
by Shengbo Eben Li
@ Intelligent Driving Lab, Tsinghua University
OCP example for lane keeping problem in a circle road
[Method]
Model predictive control
"""
from casadi import *
from config import DynamicsConfig
import math
from dynamics import VehicleDynamics
import matplotlib.pyplot as plt
class Solver(DynamicsConfig):
"""
NLP solver for nonlinear model predictive control with Casadi.
"""
def __init__(self):
self._sol_dic = {'ipopt.print_level': 0, 'ipopt.sb': 'yes', 'print_time': 0}
if self.tire_model == 'Fiala':
self.X_init = [0.0, 0.0, self.psi_init, 0.0, self.u, 0.0]
self.zero = [0., 0., 0., 0., 0., 0.]
self.U_LOWER = [- math.pi / 9, -10]
self.U_UPPER = [math.pi / 9, 10]
else:
self.X_init = [0.0, 0.0, 0.1, 0.0, 0.0]
self.zero = [0., 0., 0., 0., 0.]
self.U_LOWER = [- math.pi / 9]
self.U_UPPER = [math.pi / 9]
self.x_last = 0
self.dynamics = VehicleDynamics()
super(Solver, self).__init__()
def dynamics(self,x, u):
x1 = [0.0, 0.0, 0.0, 0.0, 0.0]
x1[0] = x[0] + self.Ts * (self.u * sin(x[2]) + x[1] * cos(x[2])),
x1[1] = x[1] + self.Ts * (-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u))) * cos(u[0])
- self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u))) / self.m - self.u * x[3]),
x1[2] = x[2] + self.Ts * (x[3]),
x1[3] = x[3] + self.Ts * (self.a * (-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u)))) * cos(u[0])
- self.b * (-self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u)))) / self.I_zz),
x1[4] = x[4] + self.Ts * (self.u * cos(x[2]) - x[1] * sin(x[2]))
return x1
def openLoopMpcSolver(self, x_init, predict_steps):
"""
Solver of nonlinear MPC
Parameters
----------
x_init: list
input state for MPC.
predict_steps: int
steps of predict horizon.
Returns
----------
state: np.array shape: [predict_steps+1, state_dimension]
state trajectory of MPC in the whole predict horizon.
control: np.array shape: [predict_steps, control_dimension]
control signal of MPC in the whole predict horizon.
"""
x = SX.sym('x', self.DYNAMICS_DIM)
u = SX.sym('u', self.ACTION_DIM)
# discrete dynamic model
self.f = vertcat(
x[0] + self.Ts * (self.u * sin(x[2]) + x[1] * cos(x[2])),
x[1] + self.Ts * ((-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u))) * cos(u[0])
- self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u)))) / self.m - self.u * x[3]),
x[2] + self.Ts * (x[3]),
x[3] + self.Ts * ((self.a * (-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u)))) * cos(u[0])
- self.b * (-self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u))))) / self.I_zz),
x[4] + self.Ts * (self.u * cos(x[2]) - x[1] * sin(x[2]))
)
# Create solver instance
self.F = Function("F", [x, u], [self.f])
# Create empty NLP
w = []
lbw = []
ubw = []
lbg = []
ubg = []
G = []
J = 0
# Initial conditions
Xk = MX.sym('X0', self.DYNAMICS_DIM)
w += [Xk]
lbw += x_init
ubw += x_init
for k in range(1, predict_steps + 1):
# Local control
Uname = 'U' + str(k - 1)
Uk = MX.sym(Uname, self.ACTION_DIM)
w += [Uk]
lbw += self.U_LOWER
ubw += self.U_UPPER
Fk = self.F(Xk, Uk)
Xname = 'X' + str(k)
Xk = MX.sym(Xname, self.DYNAMICS_DIM)
# Dynamic Constriants
G += [Fk - Xk]
lbg += self.zero
ubg += self.zero
w += [Xk]
if self.tire_model == 'Fiala':
lbw += [-inf, -20, -pi, -20, 50, -inf]
ubw += [inf, 20, pi, 20, 0, inf]
else:
lbw += [-inf, -20, -pi, -20, -inf]
ubw += [inf, 20, pi, 20, inf]
F_cost = Function('F_cost', [x, u], [0.1 * (x[0] - self.a_curve * sin(self.k_curve * x[4])) ** 2
+ 0.1 * (x[2] - arctan(
self.a_curve * self.k_curve * cos(self.k_curve * x[4]))) ** 2
+ 0.001 * u[0] ** 2])
J += F_cost(w[k * 2], w[k * 2 - 1])
# Create NLP solver
nlp = dict(f=J, g=vertcat(*G), x=vertcat(*w))
S = nlpsol('S', 'ipopt', nlp, self._sol_dic)
# Solve NLP
r = S(lbx=lbw, ubx=ubw, x0=0, lbg=lbg, ubg=ubg)
# print(r['x'])
state_all = np.array(r['x'])
state = np.zeros([predict_steps, self.DYNAMICS_DIM])
control = np.zeros([predict_steps, self.ACTION_DIM])
nt = self.DYNAMICS_DIM + self.ACTION_DIM # total variable per step
# save trajectories
for i in range(predict_steps):
state[i] = state_all[nt * i: nt * i + nt - 1].reshape(-1)
control[i] = state_all[nt * i + nt - 1]
return state, control
def mpcSolver(self, x_init, predict_steps):
"""
Solver of nonlinear MPC
Parameters
----------
x_init: list
input state for MPC.
predict_steps: int
steps of predict horizon.
Returns
----------
state: np.array shape: [predict_steps+1, state_dimension]
state trajectory of MPC in the whole predict horizon.
control: np.array shape: [predict_steps, control_dimension]
control signal of MPC in the whole predict horizon.
"""
tire_model = self.tire_model
if tire_model == 'Fiala':
DYNAMICS_DIM = 6
ACTION_DIM = 2
else:
DYNAMICS_DIM = 5
ACTION_DIM = 1
x = SX.sym('x', DYNAMICS_DIM)
u = SX.sym('u', ACTION_DIM)
# Create solver instance
if self.tire_model == 'Fiala':
self.f_d = vertcat(
x[0] + self.Ts * (x[4] * sin(x[2]) + x[1] * cos(x[2])),
# y : lateral position
x[1] + self.Ts * (((- self.k1 * tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4])) * (
pow(self.k1 * tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4])), 2) / (
27 * pow(self.D * self.F_z1, 2)) - self.k1 * fabs(
tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4]))) / (
3 * self.D * self.F_z1) + 1)) * cos(u[0]) - self.k2 * tan(
arctan((x[1] - self.b * x[3]) / x[4])) * (
pow(self.k2 * tan(arctan((x[1] - self.b * x[3]) / x[4])), 2) / (
27 * pow(self.D * self.F_z2, 2)) - self.k2 * fabs(tan(
arctan((x[1] - self.b * x[3]) / x[4]))) / (
3 * self.D * self.F_z2) + 1)) / self.m - x[4] * x[3]),
# v_y : lateral speed
x[2] + self.Ts * (x[3]),
# psi : heading angle
x[3] + self.Ts * ((self.a * (- self.k1 * tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4])) * (
pow(self.k1 * tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4])), 2) / (
27 * pow(self.D * self.F_z1, 2)) - self.k1 * fabs(
tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4]))) / (
3 * self.D * self.F_z1) + 1)) * cos(u[0]) - self.b * (
- self.k2 * tan(arctan((x[1] - self.b * x[3]) / x[4])) * (
pow(self.k2 * tan(arctan((x[1] - self.b * x[3]) / x[4])), 2) / (
27 * pow(self.D * self.F_z2, 2)) - self.k2 * fabs(tan(
arctan((x[1] - self.b * x[3]) / x[4]))) / (
3 * self.D * self.F_z2) + 1))) / self.I_zz),
# r : yaw rate
x[4] + self.Ts * (
u[1] + x[2] * x[4] - (- self.k1 * tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4])) * (
pow(self.k1 * tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4])), 2) / (
27 * pow(self.D * self.F_z1, 2)) - self.k1 * fabs(
tan(- u[0] + arctan((x[1] + self.a * x[3]) / x[4]))) / (
3 * self.D * self.F_z1) + 1)) * sin(u[0]) / self.m),
# v_x : longitudinal speed
x[5] + self.Ts * (x[4])
# x : longitudinal position
)
self.F = Function("F", [x, u], [self.f_d])
elif self.tire_model == 'Pacejka':
# discrete dynamic model
self.f = vertcat(
x[0] + self.Ts * (self.u * sin(x[2]) + x[1] * cos(x[2])),
x[1] + self.Ts * ((-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u))) * cos(u[0])
- self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u)))) / self.m - self.u * x[3]),
x[2] + self.Ts * (x[3]),
x[3] + self.Ts * ((self.a * (-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u)))) * cos(u[0])
- self.b * (-self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u))))) / self.I_zz),
x[4] + self.Ts * (self.u * cos(x[2]) - x[1] * sin(x[2]))
)
# todo:retreve
self.F = Function("F", [x, u], [self.f])
elif self.tire_model == 'Linear':
# linear model
self.f = vertcat(
x[0] + self.Ts * (self.u * sin(x[2]) + x[1] * cos(x[2])),
x[1] + self.Ts * ((-self.k1*(-u[0] + (x[1] + self.a * x[3]) / self.u) * cos(u[0]) +
-self.k2*((x[1] - self.b * x[3]) / self.u)) / self.m - self.u * x[3]),
x[2] + self.Ts * (x[3]),
x[3] + self.Ts * (self.a * (-self.D * self.F_z1 * sin(
self.C * arctan(self.B * (-u[0] + (x[1] + self.a * x[3]) / self.u)))) * cos(u[0])
- self.b * (-self.D * self.F_z2 * sin(
self.C * arctan(self.B * ((x[1] - self.b * x[3]) / self.u)))) / self.I_zz),
x[4] + self.Ts * (self.u * cos(x[2]) - x[1] * sin(x[2]))
)
self.F = Function("F", [x, u], [self.f])
# Create empty NLP
w = []
lbw = []
ubw = []
lbg = []
ubg = []
G = []
J = 0
# Initial conditions
Xk = MX.sym('X0', DYNAMICS_DIM)
w += [Xk]
lbw += x_init
ubw += x_init
for k in range(1, predict_steps + 1):
# Local control
Uname = 'U' + str(k - 1)
Uk = MX.sym(Uname, ACTION_DIM)
w += [Uk]
lbw += self.U_LOWER
ubw += self.U_UPPER
# Gk = self.G_f(Xk,Uk)
Fk = self.F(Xk, Uk)
Xname = 'X' + str(k)
Xk = MX.sym(Xname, DYNAMICS_DIM)
# Dynamic Constriants
G += [Fk - Xk]
lbg += self.zero
ubg += self.zero
w += [Xk]
if self.tire_model == 'Fiala':
lbw += [-inf, -20, -pi, -20, 0, -inf]
ubw += [inf, 20, pi, 20, 50, inf]
else:
lbw += [-inf, -20, -pi, -20, -inf]
ubw += [inf, 20, pi, 20, inf]
# Cost function
if tire_model == 'Fiala':
F_cost = Function('F_cost', [x, u], [6 * (x[0]) ** 2
+ 0.2 * (x[4] - self.u) ** 2
+ 80 * u[0] ** 2
+ 0.3 * u[1] ** 2])
else:
F_cost = Function('F_cost', [x, u], [1 * (x[0]) ** 2
+ 1 * (x[2]) ** 2
+ 1 * u[0] ** 2])
J += F_cost(w[k * 2], w[k * 2 - 1])
# J += F_cost(w[k * 3 - 1], w[k * 3 - 2])
# Create NLP solver
nlp = dict(f=J, g=vertcat(*G), x=vertcat(*w))
S = nlpsol('S', 'ipopt', nlp, self._sol_dic)
# Solve NLP
r = S(lbx=lbw, ubx=ubw, x0=0, lbg=lbg, ubg=ubg)
# print(r['x'])
state_all = np.array(r['x'])
state = np.zeros([predict_steps, DYNAMICS_DIM])
control = np.zeros([predict_steps, ACTION_DIM])
nt = DYNAMICS_DIM + ACTION_DIM # total variable per step
# save trajectories
for i in range(predict_steps):
state[i] = state_all[nt * i: nt * i + DYNAMICS_DIM].reshape(-1)
control[i] = state_all[nt * i + DYNAMICS_DIM: nt * (i + 1)].reshape(-1)
return state, control
| 42.841463
| 117
| 0.401651
| 1,939
| 14,052
| 2.836514
| 0.09902
| 0.016727
| 0.039273
| 0.043636
| 0.779818
| 0.772545
| 0.739273
| 0.702727
| 0.683091
| 0.677455
| 0
| 0.052083
| 0.4193
| 14,052
| 327
| 118
| 42.972477
| 0.621936
| 0.119627
| 0
| 0.572727
| 0
| 0
| 0.010703
| 0
| 0
| 0
| 0
| 0.003058
| 0
| 1
| 0.018182
| false
| 0
| 0.022727
| 0
| 0.059091
| 0.004545
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
74c8161d264242d98d46d2da4f36997f20676662
| 221
|
py
|
Python
|
forumdemo/comment/admin.py
|
lamdba0602/forumdemo
|
82c6223d6b6d7fb3bac049e342d3048a5117a2b7
|
[
"Apache-2.0"
] | null | null | null |
forumdemo/comment/admin.py
|
lamdba0602/forumdemo
|
82c6223d6b6d7fb3bac049e342d3048a5117a2b7
|
[
"Apache-2.0"
] | null | null | null |
forumdemo/comment/admin.py
|
lamdba0602/forumdemo
|
82c6223d6b6d7fb3bac049e342d3048a5117a2b7
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import Comment
class CommentAdmin(admin.ModelAdmin):
list_display = ("article", "to_comment", "status", "owner", "content")
admin.site.register(Comment, CommentAdmin)
| 22.1
| 74
| 0.751131
| 26
| 221
| 6.307692
| 0.730769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122172
| 221
| 9
| 75
| 24.555556
| 0.845361
| 0
| 0
| 0
| 0
| 0
| 0.158371
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.8
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
74f429bdcef0e346f018f9944dbfda03ff4cdefe
| 46
|
py
|
Python
|
pyexcel_xlsbr/_version.py
|
chfw/pyexcel-xlsbr
|
647ff05890ec4430750e5670309a407bb1b0f113
|
[
"BSD-3-Clause"
] | null | null | null |
pyexcel_xlsbr/_version.py
|
chfw/pyexcel-xlsbr
|
647ff05890ec4430750e5670309a407bb1b0f113
|
[
"BSD-3-Clause"
] | 2
|
2018-08-03T16:58:14.000Z
|
2019-03-18T01:17:54.000Z
|
pyexcel_xlsbr/_version.py
|
chfw/pyexcel-xlsbr
|
647ff05890ec4430750e5670309a407bb1b0f113
|
[
"BSD-3-Clause"
] | 1
|
2021-10-31T01:49:17.000Z
|
2021-10-31T01:49:17.000Z
|
__version__ = "0.5.0-rc1"
__author__ = "C.W."
| 15.333333
| 25
| 0.630435
| 8
| 46
| 2.625
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0.130435
| 46
| 2
| 26
| 23
| 0.425
| 0
| 0
| 0
| 0
| 0
| 0.282609
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2d01e05dc6e480caa3d5fc12d39cf0eb0ea2ab3d
| 227
|
py
|
Python
|
discordbot/src/commands/url.py
|
matrix2113/discord-masz
|
1aeeefde61fc9828e31290330208fc8254f6daf4
|
[
"MIT"
] | null | null | null |
discordbot/src/commands/url.py
|
matrix2113/discord-masz
|
1aeeefde61fc9828e31290330208fc8254f6daf4
|
[
"MIT"
] | null | null | null |
discordbot/src/commands/url.py
|
matrix2113/discord-masz
|
1aeeefde61fc9828e31290330208fc8254f6daf4
|
[
"MIT"
] | null | null | null |
import os
from discord.ext import commands
@commands.command(help="Displays the URL MASZ is deployed on.")
async def url(ctx):
await ctx.send(f"MASZ is deployed on: {os.getenv('META_SERVICE_BASE_URL', 'URL not set.')}")
| 25.222222
| 96
| 0.731278
| 38
| 227
| 4.289474
| 0.710526
| 0.07362
| 0.171779
| 0.196319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140969
| 227
| 8
| 97
| 28.375
| 0.835897
| 0
| 0
| 0
| 0
| 0
| 0.484582
| 0.154185
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 4
|
2d044fb1a3dfdc1b6f94ddb3bf895f789b7701bb
| 101
|
py
|
Python
|
nunaserver/nunaserver/wsgi.py
|
UAVCAN/nunaweb
|
3dc59d5385716a2ad8581807a80d52489ffae8e8
|
[
"MIT"
] | 3
|
2021-02-10T22:56:35.000Z
|
2021-09-11T12:43:27.000Z
|
nunaserver/nunaserver/wsgi.py
|
UAVCAN/nunaweb
|
3dc59d5385716a2ad8581807a80d52489ffae8e8
|
[
"MIT"
] | 33
|
2021-02-03T20:01:19.000Z
|
2021-10-05T10:24:08.000Z
|
nunaserver/nunaserver/wsgi.py
|
bbworld1/nunaweb
|
3dc59d5385716a2ad8581807a80d52489ffae8e8
|
[
"MIT"
] | 1
|
2021-02-20T08:29:08.000Z
|
2021-02-20T08:29:08.000Z
|
"""
WSGI entrypoint.
"""
from nunaserver.server import app
if __name__ == "__main__":
app.run()
| 12.625
| 33
| 0.663366
| 12
| 101
| 4.916667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178218
| 101
| 7
| 34
| 14.428571
| 0.710843
| 0.158416
| 0
| 0
| 0
| 0
| 0.103896
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
2d3e7531cb32703d410fe2028a3adbe23d3c323b
| 46
|
py
|
Python
|
Config/config.py
|
Sijiu/Xbill
|
b4f18d3e7db3b17ed4ccddc6a8971c25931428eb
|
[
"MIT"
] | 14
|
2020-03-15T13:40:02.000Z
|
2021-06-15T18:04:08.000Z
|
Config/config.py
|
Sijiu/Xbill
|
b4f18d3e7db3b17ed4ccddc6a8971c25931428eb
|
[
"MIT"
] | 1
|
2020-05-24T13:14:46.000Z
|
2020-05-24T13:14:46.000Z
|
Config/config.py
|
Sijiu/Xbill
|
b4f18d3e7db3b17ed4ccddc6a8971c25931428eb
|
[
"MIT"
] | 3
|
2020-05-05T00:23:36.000Z
|
2021-06-10T01:18:16.000Z
|
START_DAY_OF_MONTH = 1
BUDGET_OF_MONTH = 7000
| 15.333333
| 22
| 0.826087
| 9
| 46
| 3.666667
| 0.777778
| 0.424242
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0.130435
| 46
| 2
| 23
| 23
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
74206bf2f636404d8c89a5457b75486928776b53
| 196
|
py
|
Python
|
crawler/driver/__init__.py
|
bmwant/wcbot
|
c6dd30c593f2a4c37ac02394c46c513062e2ee3f
|
[
"MIT"
] | null | null | null |
crawler/driver/__init__.py
|
bmwant/wcbot
|
c6dd30c593f2a4c37ac02394c46c513062e2ee3f
|
[
"MIT"
] | 1
|
2020-04-29T23:35:21.000Z
|
2020-04-29T23:35:21.000Z
|
crawler/driver/__init__.py
|
bmwant/wcbot
|
c6dd30c593f2a4c37ac02394c46c513062e2ee3f
|
[
"MIT"
] | null | null | null |
class BaseDriver(object):
EXECUTABLE_PATH = None
BINARY_PATH = None
def __init__(self):
self._driver = None
@property
def driver(self):
return self._driver
| 15.076923
| 27
| 0.627551
| 22
| 196
| 5.227273
| 0.590909
| 0.13913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.295918
| 196
| 12
| 28
| 16.333333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.125
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
7428fb5c49423f5ded79cbc1edb63e3f2d8f66b4
| 995
|
py
|
Python
|
statement_renamer/readers/filename_reader.py
|
mkazin/StatementRenamer
|
ef03c71f0e627a15a4bba08e45bfa90ecacd28fc
|
[
"Apache-2.0"
] | null | null | null |
statement_renamer/readers/filename_reader.py
|
mkazin/StatementRenamer
|
ef03c71f0e627a15a4bba08e45bfa90ecacd28fc
|
[
"Apache-2.0"
] | 15
|
2018-05-01T12:48:30.000Z
|
2021-05-14T02:52:48.000Z
|
statement_renamer/readers/filename_reader.py
|
mkazin/StatementRenamer
|
ef03c71f0e627a15a4bba08e45bfa90ecacd28fc
|
[
"Apache-2.0"
] | 1
|
2019-07-09T22:59:50.000Z
|
2019-07-09T22:59:50.000Z
|
from .reader import Reader
class FilenameReader(Reader):
def parse(self, fname):
return fname
# This is the contents of my old AmEx statement renamer, which
# used the filename as the data source.
# import os
# import re
# month_names = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
# 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
# path = './'
# listing = os.listdir(path)
# for infile in listing:
# # print "current file is: " + infile
# result = re.match("Statement_(\w+) (\d+).pdf", infile);
# if (result):
# month_number = month_names.index(result.group(1)) + 1
# new_name = 'AmExBlue_' + result.group(2) + '_' + str(month_number).zfill(2) + '.pdf'
# if os.path.isfile(new_name):
# print 'File [' + new_name + '] already exists. Ignoring [ ' + infile + ']'
# continue
# os.rename(infile, new_name)
# print 'Renamed [' + infile + '] to : [' + new_name + ']'
# # else:
# # print ' (skipped ' + infile + ')'
| 27.638889
| 92
| 0.568844
| 124
| 995
| 4.467742
| 0.620968
| 0.063177
| 0.043321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005348
| 0.248241
| 995
| 35
| 93
| 28.428571
| 0.735294
| 0.837186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
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| 0
| null | 0
| 0
| 0
| 0
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| 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
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
7436d343dd53757025641ec1f8b0deae1089f72e
| 645
|
py
|
Python
|
guiModule.py
|
xianc78/guiModule
|
5d2dc1e5a50db1b3c7adb40edacefe40496e29b8
|
[
"0BSD"
] | null | null | null |
guiModule.py
|
xianc78/guiModule
|
5d2dc1e5a50db1b3c7adb40edacefe40496e29b8
|
[
"0BSD"
] | null | null | null |
guiModule.py
|
xianc78/guiModule
|
5d2dc1e5a50db1b3c7adb40edacefe40496e29b8
|
[
"0BSD"
] | null | null | null |
# Module for simple GUI functions. ONLY WORKS IN WINDOWS
import ctypes
def MessageBox(message, title):
ctypes.windll.user32.MessageBoxA(0, message, title, 0)
def YesNo(message, title):
if ctypes.windll.user32.MessageBoxA(0, message, title, 4) == 6:
return True
else:
return False
def OkCancel(message, title):
if ctypes.windll.user32.MessageBoxA(0, message, title, 1) == 1:
return True
else:
return False
def YesNoCancel(message, title):
if ctypes.windll.user32.MessageBoxA(0, message, title, 3) == 6:
return "Yes"
elif ctypes.windll.user32.MessageBoxA(0, message, title, 3) == 7:
return "No"
else:
return "Cancel"
| 25.8
| 66
| 0.717829
| 92
| 645
| 5.032609
| 0.391304
| 0.233261
| 0.194384
| 0.313175
| 0.669546
| 0.669546
| 0.548596
| 0.457883
| 0.362851
| 0.362851
| 0
| 0.04428
| 0.15969
| 645
| 25
| 67
| 25.8
| 0.809963
| 0.083721
| 0
| 0.35
| 0
| 0
| 0.018644
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.05
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
7494903f2fd57cdd2385fa8bf9f733b728d7cb92
| 30
|
py
|
Python
|
snakeplane/version.py
|
cpitts1/snakeplane
|
1b69a6b5695049f91272a1dd3389a6bcf0496b73
|
[
"Apache-2.0"
] | null | null | null |
snakeplane/version.py
|
cpitts1/snakeplane
|
1b69a6b5695049f91272a1dd3389a6bcf0496b73
|
[
"Apache-2.0"
] | null | null | null |
snakeplane/version.py
|
cpitts1/snakeplane
|
1b69a6b5695049f91272a1dd3389a6bcf0496b73
|
[
"Apache-2.0"
] | null | null | null |
__version__ = "1.0.0-alpha20"
| 15
| 29
| 0.7
| 5
| 30
| 3.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185185
| 0.1
| 30
| 1
| 30
| 30
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0.433333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
749884d6ae7b51f08befe077d95461bec0522bb8
| 186
|
py
|
Python
|
md_cms/forms.py
|
tinpan-io/django-md-cms
|
f1488650891069cc5f3b41f509dcb8681a65cda3
|
[
"BSD-3-Clause"
] | 12
|
2015-05-24T14:54:15.000Z
|
2022-02-09T03:17:37.000Z
|
md_cms/forms.py
|
tinpan-io/django-md-cms
|
f1488650891069cc5f3b41f509dcb8681a65cda3
|
[
"BSD-3-Clause"
] | 1
|
2015-07-24T17:54:31.000Z
|
2015-07-24T21:08:53.000Z
|
md_cms/forms.py
|
tinpan-io/django-md-cms
|
f1488650891069cc5f3b41f509dcb8681a65cda3
|
[
"BSD-3-Clause"
] | 1
|
2021-08-22T11:40:32.000Z
|
2021-08-22T11:40:32.000Z
|
from django import forms
from pagedown.widgets import PagedownWidget
class MdCMSForm(forms.Form):
md_cms_textarea = forms.CharField(
widget=PagedownWidget(),
)
| 20.666667
| 44
| 0.709677
| 20
| 186
| 6.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22043
| 186
| 8
| 45
| 23.25
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7775eb3b22f7a03ffbdb6818fd5396a6158c2f78
| 28
|
py
|
Python
|
Conceptos/variables.py
|
MiGueAJM9724/Python
|
436975a3ccef5a922afa7e3f14747322f2979e06
|
[
"Apache-2.0"
] | null | null | null |
Conceptos/variables.py
|
MiGueAJM9724/Python
|
436975a3ccef5a922afa7e3f14747322f2979e06
|
[
"Apache-2.0"
] | null | null | null |
Conceptos/variables.py
|
MiGueAJM9724/Python
|
436975a3ccef5a922afa7e3f14747322f2979e06
|
[
"Apache-2.0"
] | null | null | null |
tutor = "codi"
print(tutor)
| 9.333333
| 14
| 0.678571
| 4
| 28
| 4.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 28
| 2
| 15
| 14
| 0.791667
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
779c18c2b516a68d46093b76fcd67c1fb65a3cd2
| 89
|
py
|
Python
|
mentorprise/backend_dev/__init__.py
|
CS261-Group-17/Mentoring-Site
|
b0425ec967c3241561ab8eb65cce75a35f3e5814
|
[
"MIT"
] | null | null | null |
mentorprise/backend_dev/__init__.py
|
CS261-Group-17/Mentoring-Site
|
b0425ec967c3241561ab8eb65cce75a35f3e5814
|
[
"MIT"
] | null | null | null |
mentorprise/backend_dev/__init__.py
|
CS261-Group-17/Mentoring-Site
|
b0425ec967c3241561ab8eb65cce75a35f3e5814
|
[
"MIT"
] | null | null | null |
"""Needed for pylint to run correctly - GitHub actions will fail if you delete
this"""
| 29.666667
| 79
| 0.730337
| 14
| 89
| 4.642857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191011
| 89
| 2
| 80
| 44.5
| 0.902778
| 0.898876
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
779ddd9588fb1634cac7f9efb6fe015b9494fabb
| 97
|
py
|
Python
|
server/config.py
|
cryptSky/hlsa_task8
|
ed0d8d9d69b5e8f3bdfa5964c66ce6dcf27f07c1
|
[
"MIT"
] | null | null | null |
server/config.py
|
cryptSky/hlsa_task8
|
ed0d8d9d69b5e8f3bdfa5964c66ce6dcf27f07c1
|
[
"MIT"
] | null | null | null |
server/config.py
|
cryptSky/hlsa_task8
|
ed0d8d9d69b5e8f3bdfa5964c66ce6dcf27f07c1
|
[
"MIT"
] | null | null | null |
import os
class BaseConfig(object):
SECRET_KEY = os.environ['SECRET_KEY']
DEBUG = False
| 16.166667
| 41
| 0.701031
| 13
| 97
| 5.076923
| 0.769231
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195876
| 97
| 5
| 42
| 19.4
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0.103093
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
77e72d5f61a1f1a31c32a5a1b3e2b8bcf59e6c93
| 2,203
|
py
|
Python
|
returns/pointfree/__init__.py
|
internetimagery/returns
|
8f4f23bae6861fb3969a8d0c8979f96c5589fc61
|
[
"BSD-2-Clause"
] | null | null | null |
returns/pointfree/__init__.py
|
internetimagery/returns
|
8f4f23bae6861fb3969a8d0c8979f96c5589fc61
|
[
"BSD-2-Clause"
] | null | null | null |
returns/pointfree/__init__.py
|
internetimagery/returns
|
8f4f23bae6861fb3969a8d0c8979f96c5589fc61
|
[
"BSD-2-Clause"
] | null | null | null |
from __future__ import absolute_import
from returns.pointfree.alt import alt as alt
from returns.pointfree.apply import apply as apply
from returns.pointfree.bimap import bimap as bimap
from returns.pointfree.bind import bind as bind
from returns.pointfree.bind_async import bind_async as bind_async
from returns.pointfree.bind_async_context_future_result import (
bind_async_context_future_result as bind_async_context_future_result,
)
from returns.pointfree.bind_async_future import (
bind_async_future as bind_async_future,
)
from returns.pointfree.bind_async_future_result import (
bind_async_future_result as bind_async_future_result,
)
from returns.pointfree.bind_awaitable import bind_awaitable as bind_awaitable
from returns.pointfree.bind_context import bind_context as bind_context
from returns.pointfree.bind_context import bind_context2 as bind_context2
from returns.pointfree.bind_context import bind_context3 as bind_context3
from returns.pointfree.bind_context_future_result import (
bind_context_future_result as bind_context_future_result,
)
from returns.pointfree.bind_context_ioresult import (
bind_context_ioresult as bind_context_ioresult,
)
from returns.pointfree.bind_context_result import (
bind_context_result as bind_context_result,
)
from returns.pointfree.bind_future import bind_future as bind_future
from returns.pointfree.bind_future_result import (
bind_future_result as bind_future_result,
)
from returns.pointfree.bind_io import bind_io as bind_io
from returns.pointfree.bind_ioresult import bind_ioresult as bind_ioresult
from returns.pointfree.bind_optional import bind_optional as bind_optional
from returns.pointfree.bind_result import bind_result as bind_result
from returns.pointfree.compose_result import compose_result as compose_result
from returns.pointfree.cond import cond as cond
from returns.pointfree.lash import lash as lash
from returns.pointfree.map import map_ as map_
from returns.pointfree.modify_env import modify_env as modify_env
from returns.pointfree.modify_env import modify_env2 as modify_env2
from returns.pointfree.modify_env import modify_env3 as modify_env3
from returns.pointfree.unify import unify as unify
| 48.955556
| 77
| 0.864276
| 333
| 2,203
| 5.408408
| 0.087087
| 0.177124
| 0.322043
| 0.239867
| 0.47196
| 0.249861
| 0.184342
| 0
| 0
| 0
| 0
| 0.004034
| 0.099864
| 2,203
| 44
| 78
| 50.068182
| 0.904186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.681818
| 0
| 0.681818
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
77f34f3e60a19e14304311a24cf1b6426d5ea4fd
| 421
|
py
|
Python
|
kernel/examples/handler/__init__.py
|
rinceyuan/WeFe
|
8482cb737cb7ba37b2856d184cd42c1bd35a6318
|
[
"Apache-2.0"
] | 39
|
2021-10-12T01:43:27.000Z
|
2022-03-28T04:46:35.000Z
|
kernel/examples/handler/__init__.py
|
rinceyuan/WeFe
|
8482cb737cb7ba37b2856d184cd42c1bd35a6318
|
[
"Apache-2.0"
] | 6
|
2021-10-14T02:11:47.000Z
|
2022-03-23T02:41:50.000Z
|
kernel/examples/handler/__init__.py
|
rinceyuan/WeFe
|
8482cb737cb7ba37b2856d184cd42c1bd35a6318
|
[
"Apache-2.0"
] | 10
|
2021-10-14T09:36:03.000Z
|
2022-02-10T11:05:12.000Z
|
from pathlib import Path
from ruamel import yaml
with Path(__file__).parent.parent.joinpath("config.yaml").resolve().open("r") as fin:
__DEFAULT_CONFIG: dict = yaml.safe_load(fin)
def set_default_config(ip: str, port: int, log_directory: str):
global __DEFAULT_CONFIG
__DEFAULT_CONFIG.update(dict(ip=ip, port=port, log_directory=log_directory))
def get_default_config():
return __DEFAULT_CONFIG
| 21.05
| 85
| 0.755344
| 61
| 421
| 4.819672
| 0.52459
| 0.265306
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137767
| 421
| 19
| 86
| 22.157895
| 0.809917
| 0
| 0
| 0
| 0
| 0
| 0.028777
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.111111
| 0.555556
| 0
| 0
| 0
| 0
| null | 1
| 0
| 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
| 4
|
7aeeeef62aa01b729262c5390d03e0480b6ae142
| 2,292
|
py
|
Python
|
rotkehlchen/tests/unit/uniswap/test_calculate_events_balances.py
|
rotkehlchenio/rotkehlchen
|
98f49cd3ed26c641fec03b78eff9fe1872385fbf
|
[
"BSD-3-Clause"
] | 137
|
2018-03-05T11:53:29.000Z
|
2019-11-03T16:38:42.000Z
|
rotkehlchen/tests/unit/uniswap/test_calculate_events_balances.py
|
rotkehlchenio/rotkehlchen
|
98f49cd3ed26c641fec03b78eff9fe1872385fbf
|
[
"BSD-3-Clause"
] | 385
|
2018-03-08T12:43:41.000Z
|
2019-11-10T09:15:36.000Z
|
rotkehlchen/tests/unit/uniswap/test_calculate_events_balances.py
|
rotkehlchenio/rotkehlchen
|
98f49cd3ed26c641fec03b78eff9fe1872385fbf
|
[
"BSD-3-Clause"
] | 59
|
2018-03-08T10:08:27.000Z
|
2019-10-26T11:30:44.000Z
|
from typing import List
import pytest
from rotkehlchen.chain.ethereum.interfaces.ammswap.types import LiquidityPool, LiquidityPoolEvent
from .utils import (
LP_1_EVENTS,
LP_1_EVENTS_BALANCE,
LP_2_EVENTS,
LP_2_EVENTS_BALANCE,
LP_3_BALANCE,
LP_3_EVENTS,
LP_3_EVENTS_BALANCE,
TEST_ADDRESS_1,
)
@pytest.mark.parametrize('ethereum_modules', [['uniswap']])
def test_no_events_no_balances(rotkehlchen_api_server):
rotki = rotkehlchen_api_server.rest_api.rotkehlchen
events: List[LiquidityPoolEvent] = []
balances: List[LiquidityPool] = []
events_balances = rotki.chain_manager.get_module('uniswap')._calculate_events_balances(
address=TEST_ADDRESS_1,
events=events,
balances=balances,
)
assert events_balances == []
@pytest.mark.parametrize('ethereum_modules', [['uniswap']])
def test_single_pool_without_balances(rotkehlchen_api_server):
rotki = rotkehlchen_api_server.rest_api.rotkehlchen
balances: List[LiquidityPool] = []
events_balances = rotki.chain_manager.get_module('uniswap')._calculate_events_balances(
address=TEST_ADDRESS_1,
events=LP_1_EVENTS,
balances=balances,
)
assert events_balances == [LP_1_EVENTS_BALANCE]
@pytest.mark.parametrize('ethereum_modules', [['uniswap']])
def test_multiple_pools_without_balances(rotkehlchen_api_server):
rotki = rotkehlchen_api_server.rest_api.rotkehlchen
events = list(LP_1_EVENTS)
events.extend(LP_2_EVENTS)
balances: List[LiquidityPool] = []
events_balances = rotki.chain_manager.get_module('uniswap')._calculate_events_balances(
address=TEST_ADDRESS_1,
events=events,
balances=balances,
)
assert events_balances == [LP_1_EVENTS_BALANCE, LP_2_EVENTS_BALANCE]
@pytest.mark.parametrize('ethereum_modules', [['uniswap']])
def test_single_pool_with_balances(rotkehlchen_api_server):
"""Test LP current balances are factorized in the pool events balance
"""
rotki = rotkehlchen_api_server.rest_api.rotkehlchen
events_balances = rotki.chain_manager.get_module('uniswap')._calculate_events_balances(
address=TEST_ADDRESS_1,
events=LP_3_EVENTS,
balances=[LP_3_BALANCE],
)
assert events_balances == [LP_3_EVENTS_BALANCE]
| 33.217391
| 97
| 0.746946
| 277
| 2,292
| 5.758123
| 0.180505
| 0.149216
| 0.100313
| 0.072727
| 0.737304
| 0.732288
| 0.732288
| 0.714734
| 0.656426
| 0.656426
| 0
| 0.010892
| 0.158813
| 2,292
| 68
| 98
| 33.705882
| 0.81639
| 0.028796
| 0
| 0.436364
| 0
| 0
| 0.054176
| 0
| 0
| 0
| 0
| 0
| 0.072727
| 1
| 0.072727
| false
| 0
| 0.072727
| 0
| 0.145455
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bb4a1d807e1313ea7404bae917bc86516df32ec4
| 33
|
py
|
Python
|
instance/config.py
|
adriankiprono/pitches_project
|
a3102a7b1d618ad35b981414049c3ead0b5ecc3c
|
[
"MIT"
] | null | null | null |
instance/config.py
|
adriankiprono/pitches_project
|
a3102a7b1d618ad35b981414049c3ead0b5ecc3c
|
[
"MIT"
] | null | null | null |
instance/config.py
|
adriankiprono/pitches_project
|
a3102a7b1d618ad35b981414049c3ead0b5ecc3c
|
[
"MIT"
] | null | null | null |
SECRET_KEY='qweasdzxc1234567890'
| 16.5
| 32
| 0.878788
| 3
| 33
| 9.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.3125
| 0.030303
| 33
| 2
| 32
| 16.5
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0.575758
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
700b79c99c5a7d6039181ad3627f0fe4a5023d42
| 79
|
py
|
Python
|
src/nti/mailer/tests/templates/__init__.py
|
NextThought/nti.mailer
|
9a696dcd150a9370c5d5afd7cf0b1e8ec772a621
|
[
"Apache-2.0"
] | null | null | null |
src/nti/mailer/tests/templates/__init__.py
|
NextThought/nti.mailer
|
9a696dcd150a9370c5d5afd7cf0b1e8ec772a621
|
[
"Apache-2.0"
] | 4
|
2021-08-11T12:24:05.000Z
|
2021-09-07T16:02:58.000Z
|
src/nti/mailer/tests/templates/__init__.py
|
NextThought/nti.mailer
|
9a696dcd150a9370c5d5afd7cf0b1e8ec772a621
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Make this directory a package.
| 19.75
| 32
| 0.632911
| 12
| 79
| 4.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015152
| 0.164557
| 79
| 3
| 33
| 26.333333
| 0.742424
| 0.924051
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
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| 0
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| 0
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| 0
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| 0
| 0
| 0
| 1
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| 0
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| 1
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7016e3c9fc99e0a5ae6849f6a74a87ca2b588aac
| 561
|
py
|
Python
|
Python/1-Fundamentals/cc_nestedif.py
|
armirh/Nucamp-SQL-Devops-Training
|
6c2dc5793c732bfb4c4d365acbb346a95fbf4bf2
|
[
"MIT"
] | 2
|
2022-01-19T02:33:11.000Z
|
2022-01-19T02:33:13.000Z
|
Python/1-Fundamentals/cc_nestedif.py
|
armirh/Nucamp-SQL-Devops-Training
|
6c2dc5793c732bfb4c4d365acbb346a95fbf4bf2
|
[
"MIT"
] | null | null | null |
Python/1-Fundamentals/cc_nestedif.py
|
armirh/Nucamp-SQL-Devops-Training
|
6c2dc5793c732bfb4c4d365acbb346a95fbf4bf2
|
[
"MIT"
] | null | null | null |
'''
priceIsRight = 15
if priceIsRight:
print("Price is too low!")
if priceIsRight:
print("Price is almost there!")
if priceIsRight:
print("Price is exactly that!")
if priceIsRight:
print("Price is too high!")
'''
priceIsRight = int(input("Enter your number: "))
if priceIsRight < 5:
print("Price is almost there!")
elif priceIsRight >= 5 and priceIsRight <= 9:
print("Price is almost there!")
elif priceIsRight == 10:
print("Price is exactly that!")
else:
print("Price is too high!")
| 21.576923
| 48
| 0.616756
| 69
| 561
| 5.014493
| 0.347826
| 0.231214
| 0.277457
| 0.277457
| 0.739884
| 0.393064
| 0.225434
| 0
| 0
| 0
| 0
| 0.016827
| 0.258467
| 561
| 25
| 49
| 22.44
| 0.814904
| 0.465241
| 0
| 0.222222
| 0
| 0
| 0.355172
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.444444
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
70382ba6c8a70c367c6fcdd7091ab0658b52622e
| 96
|
py
|
Python
|
project/search_info/apps.py
|
Kaiser-Zheng/Lawsuit_Searching_Platform
|
68a51141a4b3230471df16b89fe5762099a5c052
|
[
"MIT"
] | null | null | null |
project/search_info/apps.py
|
Kaiser-Zheng/Lawsuit_Searching_Platform
|
68a51141a4b3230471df16b89fe5762099a5c052
|
[
"MIT"
] | null | null | null |
project/search_info/apps.py
|
Kaiser-Zheng/Lawsuit_Searching_Platform
|
68a51141a4b3230471df16b89fe5762099a5c052
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class SearchInfoConfig(AppConfig):
name = 'search_info'
| 16
| 34
| 0.770833
| 11
| 96
| 6.636364
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 96
| 5
| 35
| 19.2
| 0.901235
| 0
| 0
| 0
| 0
| 0
| 0.114583
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
7049080fe6f9363a6dc30511fae5d03bdb374568
| 33
|
py
|
Python
|
config.py
|
jahosp/telegram-bot-startkit
|
1d786a1162671b83d16d9b4f643e3d12698b1215
|
[
"MIT"
] | null | null | null |
config.py
|
jahosp/telegram-bot-startkit
|
1d786a1162671b83d16d9b4f643e3d12698b1215
|
[
"MIT"
] | null | null | null |
config.py
|
jahosp/telegram-bot-startkit
|
1d786a1162671b83d16d9b4f643e3d12698b1215
|
[
"MIT"
] | null | null | null |
BOT_TOKEN='write here your token'
| 33
| 33
| 0.818182
| 6
| 33
| 4.333333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 33
| 1
| 33
| 33
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0.617647
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7049a5622940d03f7b60f4459b7d5d09a8e992b4
| 327
|
py
|
Python
|
adversarial_music_generator/tune_finder_interface.py
|
hq9000/adversarial-music-generator
|
2a47db96d2659d66dca14c075b185819a875dcfe
|
[
"MIT"
] | null | null | null |
adversarial_music_generator/tune_finder_interface.py
|
hq9000/adversarial-music-generator
|
2a47db96d2659d66dca14c075b185819a875dcfe
|
[
"MIT"
] | 9
|
2020-12-14T08:25:12.000Z
|
2021-02-23T07:33:44.000Z
|
adversarial_music_generator/tune_finder_interface.py
|
hq9000/adversarial-music-generator
|
2a47db96d2659d66dca14c075b185819a875dcfe
|
[
"MIT"
] | null | null | null |
from abc import abstractmethod, ABC
from typing import List
from adversarial_music_generator.find_tunes_task import FindTunesTask
from adversarial_music_generator.models.tune import Tune
class TuneFinderInterface(ABC):
@abstractmethod
def find_tunes(self, find_tunes_task: FindTunesTask) -> List[Tune]:
pass
| 27.25
| 71
| 0.807339
| 41
| 327
| 6.219512
| 0.487805
| 0.105882
| 0.156863
| 0.227451
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140673
| 327
| 11
| 72
| 29.727273
| 0.907473
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0.125
| 0.5
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
704f02f9e22e2c5f1ec53cdab281afc673828cb1
| 32
|
py
|
Python
|
TOPSIS-ARNAV-101803005/__init__.py
|
arnav2236/xtff-topsis
|
c1d17c80834eb308755b267c72559c1003636bfa
|
[
"MIT"
] | null | null | null |
TOPSIS-ARNAV-101803005/__init__.py
|
arnav2236/xtff-topsis
|
c1d17c80834eb308755b267c72559c1003636bfa
|
[
"MIT"
] | null | null | null |
TOPSIS-ARNAV-101803005/__init__.py
|
arnav2236/xtff-topsis
|
c1d17c80834eb308755b267c72559c1003636bfa
|
[
"MIT"
] | null | null | null |
#version no.
__version__ =1.0.0
| 10.666667
| 18
| 0.71875
| 6
| 32
| 3.166667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107143
| 0.125
| 32
| 3
| 18
| 10.666667
| 0.571429
| 0.34375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5606197edd767533789e31c54935c3de42f2b6bf
| 22
|
py
|
Python
|
canvas_course_site_wizard/tests/test_view_canvas_course_site_create.py
|
Harvard-University-iCommons/django-canvas-course-site-wizard
|
0210849e959407e5a850188f50756eb69b9a4dc2
|
[
"MIT"
] | null | null | null |
canvas_course_site_wizard/tests/test_view_canvas_course_site_create.py
|
Harvard-University-iCommons/django-canvas-course-site-wizard
|
0210849e959407e5a850188f50756eb69b9a4dc2
|
[
"MIT"
] | 5
|
2018-05-10T19:49:43.000Z
|
2021-01-29T19:39:34.000Z
|
canvas_course_site_wizard/tests/test_view_canvas_course_site_create.py
|
Harvard-University-iCommons/django-canvas-course-site-wizard
|
0210849e959407e5a850188f50756eb69b9a4dc2
|
[
"MIT"
] | null | null | null |
__author__ = 'ely817'
| 11
| 21
| 0.727273
| 2
| 22
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 0.136364
| 22
| 1
| 22
| 22
| 0.473684
| 0
| 0
| 0
| 0
| 0
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5610e3895d6609e599ef466f957f214f5c918fe6
| 591
|
py
|
Python
|
0077_Combinations/python/solution.py
|
jeffvswanson/LeetCode
|
6bc7d6cad3c2b1bd6ccb2616ec081fb5eb51ccc8
|
[
"MIT"
] | null | null | null |
0077_Combinations/python/solution.py
|
jeffvswanson/LeetCode
|
6bc7d6cad3c2b1bd6ccb2616ec081fb5eb51ccc8
|
[
"MIT"
] | null | null | null |
0077_Combinations/python/solution.py
|
jeffvswanson/LeetCode
|
6bc7d6cad3c2b1bd6ccb2616ec081fb5eb51ccc8
|
[
"MIT"
] | null | null | null |
"""
77. Combinations
Given two integers n and k, return all possible combinations of k numbers out of the range [1, n].
You may return the answer in any order.
Examples
--------
Example 1:
Input: n = 4, k = 2
Output:
[
[2,4],
[3,4],
[2,3],
[1,2],
[1,3],
[1,4],
]
Example 2:
Input: n = 1, k = 1
Output: [[1]]
Constraints
-----------
* 1 <= n <= 20
* 1 <= k <= n
"""
def initial_pass(n: int, k: int) -> list[list[int]]:
from itertools import combinations
return list(combinations(range(1, n+1), k))
| 16.885714
| 98
| 0.509306
| 88
| 591
| 3.409091
| 0.454545
| 0.02
| 0.046667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 0.313029
| 591
| 34
| 99
| 17.382353
| 0.669951
| 0.746193
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
56140b60dd6aeb1e4d1e548d41d34c527425c7fd
| 2,335
|
py
|
Python
|
appengine_config.py
|
mjd119/Habit-Tracker
|
f37c4f8ff08109f2c3a048bd595d145036e92c2d
|
[
"MIT"
] | null | null | null |
appengine_config.py
|
mjd119/Habit-Tracker
|
f37c4f8ff08109f2c3a048bd595d145036e92c2d
|
[
"MIT"
] | 2
|
2019-09-20T19:08:16.000Z
|
2021-04-02T13:28:29.000Z
|
appengine_config.py
|
mjd119/Habit-Tracker
|
f37c4f8ff08109f2c3a048bd595d145036e92c2d
|
[
"MIT"
] | null | null | null |
from gaesessions import SessionMiddleware
# suggestion: generate your own random key using os.urandom(64)
# WARNING: Make sure you run os.urandom(64) OFFLINE and copy/paste the output to
# this file. If you use os.urandom() to *dynamically* generate your key at
# runtime then any existing sessions will become junk every time you start,
# deploy, or update your app!
import os
# https://cloud.google.com/appengine/docs/standard/python/tools/using-libraries-python-27
# appengine_config.py
from google.appengine.ext import vendor
# Add any libraries install in the "lib" folder.
# vendor.add('lib')
vendor.add(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'lib'))
# def add_vendor_packages(vendor_folder):
# """
# Adds our vendor packages folder to sys.path so that third-party
# packages can be imported.
# """
# import site
# import os.path
# import sys
#
# # Use site.addsitedir() because it appropriately reads .pth
# # files for namespaced packages. Unfortunately, there's not an
# # option to choose where addsitedir() puts its paths in sys.path
# # so we have to do a little bit of magic to make it play along.
#
# # We're going to grab the current sys.path and split it up into
# # the first entry and then the rest. Essentially turning
# # ['.', '/site-packages/x', 'site-packages/y']
# # into
# # ['.'] and ['/site-packages/x', 'site-packages/y']
# # The reason for this is we want '.' to remain at the top of the
# # list but we want our vendor files to override everything else.
# sys.path, remainder = sys.path[:1], sys.path[1:]
#
# # Now we call addsitedir which will append our vendor directories
# # to sys.path (which was truncated by the last step.)
# site.addsitedir(os.path.join(os.path.dirname(__file__), vendor_folder))
#
# # Finally, we'll add the paths we removed back.
# sys.path.extend(remainder)
#
# # Change 'lib' to whichever directory you use for your vendored packages.
# add_vendor_packages('lib')
COOKIE_KEY = "" # TODO: Generate new COOKIE_KEY using os.urandom(64) See above
def webapp_add_wsgi_middleware(app):
from google.appengine.ext.appstats import recording
app = SessionMiddleware(app, cookie_key=COOKIE_KEY)
app = recording.appstats_wsgi_middleware(app)
return app
| 39.576271
| 89
| 0.707495
| 350
| 2,335
| 4.651429
| 0.485714
| 0.034398
| 0.02027
| 0.020885
| 0.083538
| 0.060197
| 0
| 0
| 0
| 0
| 0
| 0.005269
| 0.187152
| 2,335
| 58
| 90
| 40.258621
| 0.852476
| 0.786724
| 0
| 0
| 1
| 0
| 0.006818
| 0
| 0
| 0
| 0
| 0.017241
| 0
| 1
| 0.1
| false
| 0
| 0.4
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
56194c8f56bddc7ad38951592f9bc25caecd84bd
| 75
|
py
|
Python
|
python/testData/resolve/DocStringModule.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/resolve/DocStringModule.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/resolve/DocStringModule.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
"Docstring of our own module"
import DocStringModule as m
m._<ref>_doc__
| 12.5
| 29
| 0.773333
| 12
| 75
| 4.5
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 75
| 5
| 30
| 15
| 0.857143
| 0.36
| 0
| 0
| 0
| 0
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
561aa27498c3c54e4f1ac4ee9376a815233101a3
| 201
|
py
|
Python
|
apps/notice/serializers.py
|
slyslyme/CTF_AWD_Platform
|
6e9eec0a23a316aaf1927d4ec5be923ac26ff21e
|
[
"MIT"
] | 85
|
2019-04-21T01:38:18.000Z
|
2022-03-22T08:06:21.000Z
|
apps/notice/serializers.py
|
xuchaoa/CTF_AWD_Platform
|
b2201f18677939442002e16e64280acd44f72bfe
|
[
"MIT"
] | 12
|
2019-05-10T14:09:12.000Z
|
2022-03-11T23:45:35.000Z
|
apps/notice/serializers.py
|
slyslyme/CTF_AWD_Platform
|
6e9eec0a23a316aaf1927d4ec5be923ac26ff21e
|
[
"MIT"
] | 21
|
2019-04-14T16:12:15.000Z
|
2022-03-22T08:06:22.000Z
|
from rest_framework import serializers
from .models import NoticeProfile
class NoticeSerializer(serializers.ModelSerializer):
class Meta:
model = NoticeProfile
fields = "__all__"
| 22.333333
| 52
| 0.751244
| 19
| 201
| 7.684211
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.199005
| 201
| 9
| 53
| 22.333333
| 0.906832
| 0
| 0
| 0
| 0
| 0
| 0.034653
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
561ee309084f16093848c36643b7f716599f6557
| 89
|
py
|
Python
|
Virtualenv/Env/src/GoTravel/Booking/apps.py
|
Anoop01234/Go-Travel
|
aa91f1a4ce7e7ed78de8eadc55e6a25d1a73bdd8
|
[
"MIT"
] | null | null | null |
Virtualenv/Env/src/GoTravel/Booking/apps.py
|
Anoop01234/Go-Travel
|
aa91f1a4ce7e7ed78de8eadc55e6a25d1a73bdd8
|
[
"MIT"
] | null | null | null |
Virtualenv/Env/src/GoTravel/Booking/apps.py
|
Anoop01234/Go-Travel
|
aa91f1a4ce7e7ed78de8eadc55e6a25d1a73bdd8
|
[
"MIT"
] | 1
|
2021-12-21T17:27:34.000Z
|
2021-12-21T17:27:34.000Z
|
from django.apps import AppConfig
class BookingConfig(AppConfig):
name = 'Booking'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
56390f75138128855007e115d42af136f69b1740
| 30
|
py
|
Python
|
tests/assets/sample_tasks/sample.py
|
MarcoJHB/ploomber
|
4849ef6915572f7934392443b4faf138172b9596
|
[
"Apache-2.0"
] | 2,141
|
2020-02-14T02:34:34.000Z
|
2022-03-31T22:43:20.000Z
|
tests/assets/sample_tasks/sample.py
|
MarcoJHB/ploomber
|
4849ef6915572f7934392443b4faf138172b9596
|
[
"Apache-2.0"
] | 660
|
2020-02-06T16:15:57.000Z
|
2022-03-31T22:55:01.000Z
|
tests/assets/sample_tasks/sample.py
|
MarcoJHB/ploomber
|
4849ef6915572f7934392443b4faf138172b9596
|
[
"Apache-2.0"
] | 122
|
2020-02-14T18:53:05.000Z
|
2022-03-27T22:33:24.000Z
|
# + tags=["parameters"]
1 + 1
| 10
| 23
| 0.533333
| 4
| 30
| 4
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.2
| 30
| 2
| 24
| 15
| 0.583333
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 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
| 0
|
0
| 4
|
5653a2f0dbfc504f7d3081780efaecc1f60b9ed6
| 100
|
py
|
Python
|
django_basics/apps.py
|
pinehq/django_basics
|
fae7f66ece3f8b4c3e6f24ca461622a2dd44d586
|
[
"MIT"
] | null | null | null |
django_basics/apps.py
|
pinehq/django_basics
|
fae7f66ece3f8b4c3e6f24ca461622a2dd44d586
|
[
"MIT"
] | null | null | null |
django_basics/apps.py
|
pinehq/django_basics
|
fae7f66ece3f8b4c3e6f24ca461622a2dd44d586
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class DjangoBasicsConfig(AppConfig):
name = 'django_basics'
| 16.666667
| 36
| 0.78
| 11
| 100
| 7
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 100
| 5
| 37
| 20
| 0.905882
| 0
| 0
| 0
| 0
| 0
| 0.13
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5655c4d68c05c384af2ae00b3b33213584082485
| 2,208
|
py
|
Python
|
pytpp/attributes/adaptable_workflow.py
|
Venafi/pytpp
|
42af655b2403b8c9447c86962abd4aaa0201f646
|
[
"MIT"
] | 4
|
2022-02-04T23:58:55.000Z
|
2022-02-15T18:53:08.000Z
|
pytpp/attributes/adaptable_workflow.py
|
Venafi/pytpp
|
42af655b2403b8c9447c86962abd4aaa0201f646
|
[
"MIT"
] | null | null | null |
pytpp/attributes/adaptable_workflow.py
|
Venafi/pytpp
|
42af655b2403b8c9447c86962abd4aaa0201f646
|
[
"MIT"
] | null | null | null |
from pytpp.attributes._helper import IterableMeta, Attribute
from pytpp.attributes.workflow import WorkflowAttributes
class AdaptableWorkflowAttributes(WorkflowAttributes, metaclass=IterableMeta):
__config_class__ = "Adaptable Workflow"
adaptable_workflow_text_field_1 = Attribute('Adaptable Workflow Text Field 1', min_version='18.3')
adaptable_workflow_text_field_10 = Attribute('Adaptable Workflow Text Field 10', min_version='18.3')
adaptable_workflow_text_field_11 = Attribute('Adaptable Workflow Text Field 11', min_version='18.3')
adaptable_workflow_text_field_12 = Attribute('Adaptable Workflow Text Field 12', min_version='18.3')
adaptable_workflow_text_field_2 = Attribute('Adaptable Workflow Text Field 2', min_version='18.3')
adaptable_workflow_text_field_3 = Attribute('Adaptable Workflow Text Field 3', min_version='18.3')
adaptable_workflow_text_field_4 = Attribute('Adaptable Workflow Text Field 4', min_version='18.3')
adaptable_workflow_text_field_5 = Attribute('Adaptable Workflow Text Field 5', min_version='18.3')
adaptable_workflow_text_field_6 = Attribute('Adaptable Workflow Text Field 6', min_version='18.3')
adaptable_workflow_text_field_7 = Attribute('Adaptable Workflow Text Field 7', min_version='18.3')
adaptable_workflow_text_field_8 = Attribute('Adaptable Workflow Text Field 8', min_version='18.3')
adaptable_workflow_text_field_9 = Attribute('Adaptable Workflow Text Field 9', min_version='18.3')
credential = Attribute('Credential', min_version='18.3')
log_debug = Attribute('Log Debug', min_version='19.3')
oauth_token_application_id = Attribute('OAuth Token Application Id', min_version='21.3')
oauth_token_credential = Attribute('OAuth Token Credential', min_version='21.3')
oauth_token_scope = Attribute('OAuth Token Scope', min_version='21.3')
powershell_script = Attribute('PowerShell Script', min_version='18.3')
powershell_script_hash_vault_id = Attribute('PowerShell Script Hash Vault Id', min_version='19.1')
script_execution_timeout = Attribute('Script Execution Timeout', min_version='20.2')
secondary_credential = Attribute('Secondary Credential', min_version='18.3')
service_address = Attribute('Service Address', min_version='18.3')
| 76.137931
| 101
| 0.806612
| 306
| 2,208
| 5.51634
| 0.166667
| 0.251777
| 0.298578
| 0.369668
| 0.62263
| 0.281398
| 0.254147
| 0.254147
| 0
| 0
| 0
| 0.047666
| 0.087862
| 2,208
| 28
| 102
| 78.857143
| 0.790467
| 0
| 0
| 0
| 0
| 0
| 0.304348
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.076923
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
565ae1f8b7e982db0f90201b80b9c8e1a4418619
| 101
|
py
|
Python
|
codesamples/apps.py
|
Manny27nyc/pythondotorg
|
257c96d3a94755451a5a5cdcd2abad1e27ea299b
|
[
"Apache-2.0"
] | 911
|
2015-01-03T22:16:06.000Z
|
2022-03-31T23:56:22.000Z
|
codesamples/apps.py
|
Manny27nyc/pythondotorg
|
257c96d3a94755451a5a5cdcd2abad1e27ea299b
|
[
"Apache-2.0"
] | 1,342
|
2015-01-02T16:14:45.000Z
|
2022-03-28T08:01:20.000Z
|
codesamples/apps.py
|
Manny27nyc/pythondotorg
|
257c96d3a94755451a5a5cdcd2abad1e27ea299b
|
[
"Apache-2.0"
] | 551
|
2015-01-04T02:17:31.000Z
|
2022-03-23T11:59:25.000Z
|
from django.apps import AppConfig
class CodesamplesAppConfig(AppConfig):
name = 'codesamples'
| 14.428571
| 38
| 0.772277
| 10
| 101
| 7.8
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158416
| 101
| 6
| 39
| 16.833333
| 0.917647
| 0
| 0
| 0
| 0
| 0
| 0.108911
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
567518c0fb9c154ac5935c2be231aa9edbadb63e
| 46
|
py
|
Python
|
stade/tracker/models/__init__.py
|
ImageMarkup/stade
|
d930e8c7487754b2babd6a3be69f2c614cd7f609
|
[
"Apache-2.0"
] | 4
|
2019-09-25T22:57:32.000Z
|
2021-03-03T16:49:30.000Z
|
stade/tracker/models/__init__.py
|
ImageMarkup/stade
|
d930e8c7487754b2babd6a3be69f2c614cd7f609
|
[
"Apache-2.0"
] | 55
|
2019-10-30T16:58:43.000Z
|
2021-10-09T23:26:03.000Z
|
stade/tracker/models/__init__.py
|
ImageMarkup/stade
|
d930e8c7487754b2babd6a3be69f2c614cd7f609
|
[
"Apache-2.0"
] | 1
|
2020-02-03T17:14:32.000Z
|
2020-02-03T17:14:32.000Z
|
from .email import Email
__all__ = ['Email']
| 11.5
| 24
| 0.695652
| 6
| 46
| 4.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 46
| 3
| 25
| 15.333333
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
568571c41663dd009844bdc623dd3cbb483f94fa
| 125
|
py
|
Python
|
closeness_server/wsgi.py
|
wligtenberg/closeness-server
|
b9d7fba57264fb87e6a5be94dcf9f9a97f1156ca
|
[
"MIT"
] | null | null | null |
closeness_server/wsgi.py
|
wligtenberg/closeness-server
|
b9d7fba57264fb87e6a5be94dcf9f9a97f1156ca
|
[
"MIT"
] | null | null | null |
closeness_server/wsgi.py
|
wligtenberg/closeness-server
|
b9d7fba57264fb87e6a5be94dcf9f9a97f1156ca
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# closeness-server (c) Willem Ligtenberg
from closeness_server import create_app
app = create_app()
| 20.833333
| 40
| 0.728
| 17
| 125
| 5.176471
| 0.705882
| 0.340909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009346
| 0.144
| 125
| 5
| 41
| 25
| 0.813084
| 0.48
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
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