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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
87e9b74dcfc8c95b4c981f83078804b2f2ec77be
| 69
|
py
|
Python
|
nuvolasdk/__main__.py
|
tiliado/nuvolasdk
|
9f61dcf13520846d937775a995933fce1f66271a
|
[
"BSD-2-Clause"
] | 3
|
2019-05-30T22:16:45.000Z
|
2021-02-05T04:48:27.000Z
|
nuvolasdk/__main__.py
|
Acidburn0zzz/nuvolasdk
|
ffb398ba952832bd0ec2465ca6f0dba3ac2c8892
|
[
"BSD-2-Clause"
] | 13
|
2017-06-01T17:45:31.000Z
|
2021-07-31T15:13:44.000Z
|
nuvolasdk/__main__.py
|
Acidburn0zzz/nuvolasdk
|
ffb398ba952832bd0ec2465ca6f0dba3ac2c8892
|
[
"BSD-2-Clause"
] | 3
|
2020-02-21T07:52:23.000Z
|
2021-07-27T08:18:23.000Z
|
import sys
import nuvolasdk
sys.exit(nuvolasdk.run(".", sys.argv))
| 11.5
| 38
| 0.724638
| 10
| 69
| 5
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 69
| 5
| 39
| 13.8
| 0.819672
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
87fa46812ad554b3f483f99728f9a7bdb248bd7a
| 51
|
py
|
Python
|
__main__.py
|
DARKPOISON-yt/miyu-animals
|
ba80d3cd45e91d43b4af89a77437ac12d8c932e8
|
[
"MIT"
] | 2
|
2022-01-12T05:32:22.000Z
|
2022-01-12T05:51:07.000Z
|
__main__.py
|
DARKPOISON-yt/miyu-animals
|
ba80d3cd45e91d43b4af89a77437ac12d8c932e8
|
[
"MIT"
] | 1
|
2022-01-12T07:24:30.000Z
|
2022-01-16T04:47:48.000Z
|
__main__.py
|
DARKPOISON-yt/miyu-animals
|
ba80d3cd45e91d43b4af89a77437ac12d8c932e8
|
[
"MIT"
] | null | null | null |
import animalapi as a
print(a.animal_data("dogs"))
| 17
| 28
| 0.764706
| 9
| 51
| 4.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098039
| 51
| 3
| 28
| 17
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 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
| 1
|
0
| 5
|
356736145a32b2b739427016f159aa0c557ae1a7
| 18,484
|
py
|
Python
|
soda/core/soda/sodacl/antlr/SodaCLAntlrLexer.py
|
sodadata/soda-core
|
d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a
|
[
"Apache-2.0"
] | 4
|
2022-03-23T02:43:42.000Z
|
2022-03-31T15:20:54.000Z
|
soda/core/soda/sodacl/antlr/SodaCLAntlrLexer.py
|
sodadata/soda-core
|
d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a
|
[
"Apache-2.0"
] | 543
|
2022-03-22T09:02:17.000Z
|
2022-03-31T16:29:41.000Z
|
soda/core/soda/sodacl/antlr/SodaCLAntlrLexer.py
|
sodadata/soda-core
|
d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a
|
[
"Apache-2.0"
] | 1
|
2022-03-27T03:37:55.000Z
|
2022-03-27T03:37:55.000Z
|
# Generated from /Users/tom/Code/soda-core/soda/core/soda/sodacl/antlr/SodaCLAntlr.g4 by ANTLR 4.9.3
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\28")
buf.write("\u01d3\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7")
buf.write("\t\7\4\b\t\b\4\t\t\t\4\n\t\n\4\13\t\13\4\f\t\f\4\r\t\r")
buf.write("\4\16\t\16\4\17\t\17\4\20\t\20\4\21\t\21\4\22\t\22\4\23")
buf.write("\t\23\4\24\t\24\4\25\t\25\4\26\t\26\4\27\t\27\4\30\t\30")
buf.write("\4\31\t\31\4\32\t\32\4\33\t\33\4\34\t\34\4\35\t\35\4\36")
buf.write("\t\36\4\37\t\37\4 \t \4!\t!\4\"\t\"\4#\t#\4$\t$\4%\t%")
buf.write("\4&\t&\4\'\t\'\4(\t(\4)\t)\4*\t*\4+\t+\4,\t,\4-\t-\4.")
buf.write("\t.\4/\t/\4\60\t\60\4\61\t\61\4\62\t\62\4\63\t\63\4\64")
buf.write("\t\64\4\65\t\65\4\66\t\66\4\67\t\67\3\2\3\2\3\2\3\2\3")
buf.write("\2\3\2\3\2\3\2\3\2\3\2\3\2\3\2\3\2\3\2\3\2\3\2\3\3\3\3")
buf.write("\3\3\3\3\3\3\3\4\3\4\3\4\3\4\3\4\3\4\3\4\3\4\3\4\3\4\3")
buf.write("\4\3\4\3\4\3\4\3\4\3\4\3\4\3\4\3\5\3\5\3\5\3\5\3\5\3\5")
buf.write("\3\5\3\5\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3")
buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\7\3\7\3\7\3\7\3\7\3\7")
buf.write("\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3")
buf.write("\7\3\b\3\b\3\b\3\b\3\b\3\b\3\b\3\b\3\b\3\b\3\b\3\b\3\b")
buf.write("\3\b\3\b\3\b\3\b\3\b\3\b\3\t\3\t\3\n\3\n\3\13\3\13\3\f")
buf.write("\3\f\3\f\3\f\3\f\3\f\3\f\3\f\3\f\3\f\3\r\3\r\3\r\3\r\3")
buf.write("\r\3\r\3\r\3\r\3\r\3\r\3\r\3\r\3\r\3\r\3\16\3\16\3\16")
buf.write("\3\16\3\16\3\16\3\16\3\16\3\16\3\16\3\16\3\17\3\17\3\17")
buf.write("\3\17\3\17\3\17\3\17\3\20\3\20\3\20\3\20\3\20\3\20\3\20")
buf.write("\3\20\3\20\3\20\3\20\3\20\3\20\3\20\3\20\3\20\3\20\3\20")
buf.write("\3\20\3\21\3\21\3\21\3\21\3\21\3\21\3\21\3\21\3\21\3\21")
buf.write("\3\21\3\21\3\21\3\21\3\21\3\21\3\21\3\22\3\22\3\22\3\22")
buf.write("\3\22\3\22\3\22\3\22\3\22\3\22\3\22\3\22\3\22\3\22\3\22")
buf.write("\3\23\3\23\3\23\3\23\3\23\3\23\3\23\3\23\3\23\3\23\3\23")
buf.write("\3\23\3\23\3\23\3\23\3\23\3\24\3\24\3\25\3\25\3\25\3\25")
buf.write("\3\26\3\26\3\26\3\26\3\27\3\27\3\27\3\27\3\27\3\27\3\27")
buf.write("\3\27\3\30\3\30\3\30\3\30\3\31\3\31\3\31\3\32\3\32\3\32")
buf.write("\3\32\3\32\3\33\3\33\3\33\3\33\3\33\3\34\3\34\3\34\3\34")
buf.write("\3\34\3\35\3\35\3\35\3\35\3\35\3\35\3\35\3\36\3\36\3\36")
buf.write("\3\36\3\36\3\37\3\37\3\37\3\37\3 \3 \3 \3 \3!\3!\3!\3")
buf.write("!\3\"\3\"\3#\3#\3$\3$\3%\3%\3&\3&\3\'\3\'\3(\3(\3)\3)")
buf.write("\3*\3*\3+\3+\3,\3,\3,\3-\3-\3-\3.\3.\3.\3/\3/\3/\3\60")
buf.write("\3\60\3\61\3\61\3\62\3\62\3\63\3\63\3\63\3\63\6\63\u01b6")
buf.write("\n\63\r\63\16\63\u01b7\3\63\3\63\3\64\3\64\3\64\3\64\6")
buf.write("\64\u01c0\n\64\r\64\16\64\u01c1\3\64\3\64\3\65\3\65\7")
buf.write("\65\u01c8\n\65\f\65\16\65\u01cb\13\65\3\66\6\66\u01ce")
buf.write("\n\66\r\66\16\66\u01cf\3\67\3\67\2\28\3\3\5\4\7\5\t\6")
buf.write("\13\7\r\b\17\t\21\n\23\13\25\f\27\r\31\16\33\17\35\20")
buf.write("\37\21!\22#\23%\24\'\25)\26+\27-\30/\31\61\32\63\33\65")
buf.write("\34\67\359\36;\37= ?!A\"C#E$G%I&K\'M(O)Q*S+U,W-Y.[/]\60")
buf.write("_\61a\62c\63e\64g\65i\66k\67m8\3\2\7\3\2$$\3\2bb\5\2C")
buf.write("\\aac|\b\2\"\"*+..>@]]__\3\2\62;\2\u01d8\2\3\3\2\2\2\2")
buf.write("\5\3\2\2\2\2\7\3\2\2\2\2\t\3\2\2\2\2\13\3\2\2\2\2\r\3")
buf.write("\2\2\2\2\17\3\2\2\2\2\21\3\2\2\2\2\23\3\2\2\2\2\25\3\2")
buf.write("\2\2\2\27\3\2\2\2\2\31\3\2\2\2\2\33\3\2\2\2\2\35\3\2\2")
buf.write("\2\2\37\3\2\2\2\2!\3\2\2\2\2#\3\2\2\2\2%\3\2\2\2\2\'\3")
buf.write("\2\2\2\2)\3\2\2\2\2+\3\2\2\2\2-\3\2\2\2\2/\3\2\2\2\2\61")
buf.write("\3\2\2\2\2\63\3\2\2\2\2\65\3\2\2\2\2\67\3\2\2\2\29\3\2")
buf.write("\2\2\2;\3\2\2\2\2=\3\2\2\2\2?\3\2\2\2\2A\3\2\2\2\2C\3")
buf.write("\2\2\2\2E\3\2\2\2\2G\3\2\2\2\2I\3\2\2\2\2K\3\2\2\2\2M")
buf.write("\3\2\2\2\2O\3\2\2\2\2Q\3\2\2\2\2S\3\2\2\2\2U\3\2\2\2\2")
buf.write("W\3\2\2\2\2Y\3\2\2\2\2[\3\2\2\2\2]\3\2\2\2\2_\3\2\2\2")
buf.write("\2a\3\2\2\2\2c\3\2\2\2\2e\3\2\2\2\2g\3\2\2\2\2i\3\2\2")
buf.write("\2\2k\3\2\2\2\2m\3\2\2\2\3o\3\2\2\2\5\177\3\2\2\2\7\u0084")
buf.write("\3\2\2\2\t\u0096\3\2\2\2\13\u009e\3\2\2\2\r\u00b1\3\2")
buf.write("\2\2\17\u00c5\3\2\2\2\21\u00d8\3\2\2\2\23\u00da\3\2\2")
buf.write("\2\25\u00dc\3\2\2\2\27\u00de\3\2\2\2\31\u00e8\3\2\2\2")
buf.write("\33\u00f6\3\2\2\2\35\u0101\3\2\2\2\37\u0108\3\2\2\2!\u011b")
buf.write("\3\2\2\2#\u012c\3\2\2\2%\u013b\3\2\2\2\'\u014b\3\2\2\2")
buf.write(")\u014d\3\2\2\2+\u0151\3\2\2\2-\u0155\3\2\2\2/\u015d\3")
buf.write("\2\2\2\61\u0161\3\2\2\2\63\u0164\3\2\2\2\65\u0169\3\2")
buf.write("\2\2\67\u016e\3\2\2\29\u0173\3\2\2\2;\u017a\3\2\2\2=\u017f")
buf.write("\3\2\2\2?\u0183\3\2\2\2A\u0187\3\2\2\2C\u018b\3\2\2\2")
buf.write("E\u018d\3\2\2\2G\u018f\3\2\2\2I\u0191\3\2\2\2K\u0193\3")
buf.write("\2\2\2M\u0195\3\2\2\2O\u0197\3\2\2\2Q\u0199\3\2\2\2S\u019b")
buf.write("\3\2\2\2U\u019d\3\2\2\2W\u019f\3\2\2\2Y\u01a2\3\2\2\2")
buf.write("[\u01a5\3\2\2\2]\u01a8\3\2\2\2_\u01ab\3\2\2\2a\u01ad\3")
buf.write("\2\2\2c\u01af\3\2\2\2e\u01b1\3\2\2\2g\u01bb\3\2\2\2i\u01c5")
buf.write("\3\2\2\2k\u01cd\3\2\2\2m\u01d1\3\2\2\2op\7h\2\2pq\7t\2")
buf.write("\2qr\7g\2\2rs\7u\2\2st\7j\2\2tu\7p\2\2uv\7g\2\2vw\7u\2")
buf.write("\2wx\7u\2\2xy\7\"\2\2yz\7w\2\2z{\7u\2\2{|\7k\2\2|}\7p")
buf.write("\2\2}~\7i\2\2~\4\3\2\2\2\177\u0080\7y\2\2\u0080\u0081")
buf.write("\7k\2\2\u0081\u0082\7v\2\2\u0082\u0083\7j\2\2\u0083\6")
buf.write("\3\2\2\2\u0084\u0085\7t\2\2\u0085\u0086\7q\2\2\u0086\u0087")
buf.write("\7y\2\2\u0087\u0088\7a\2\2\u0088\u0089\7e\2\2\u0089\u008a")
buf.write("\7q\2\2\u008a\u008b\7w\2\2\u008b\u008c\7p\2\2\u008c\u008d")
buf.write("\7v\2\2\u008d\u008e\7\"\2\2\u008e\u008f\7u\2\2\u008f\u0090")
buf.write("\7c\2\2\u0090\u0091\7o\2\2\u0091\u0092\7g\2\2\u0092\u0093")
buf.write("\7\"\2\2\u0093\u0094\7c\2\2\u0094\u0095\7u\2\2\u0095\b")
buf.write("\3\2\2\2\u0096\u0097\7f\2\2\u0097\u0098\7g\2\2\u0098\u0099")
buf.write("\7h\2\2\u0099\u009a\7c\2\2\u009a\u009b\7w\2\2\u009b\u009c")
buf.write("\7n\2\2\u009c\u009d\7v\2\2\u009d\n\3\2\2\2\u009e\u009f")
buf.write("\7u\2\2\u009f\u00a0\7c\2\2\u00a0\u00a1\7o\2\2\u00a1\u00a2")
buf.write("\7g\2\2\u00a2\u00a3\7\"\2\2\u00a3\u00a4\7f\2\2\u00a4\u00a5")
buf.write("\7c\2\2\u00a5\u00a6\7{\2\2\u00a6\u00a7\7\"\2\2\u00a7\u00a8")
buf.write("\7n\2\2\u00a8\u00a9\7c\2\2\u00a9\u00aa\7u\2\2\u00aa\u00ab")
buf.write("\7v\2\2\u00ab\u00ac\7\"\2\2\u00ac\u00ad\7y\2\2\u00ad\u00ae")
buf.write("\7g\2\2\u00ae\u00af\7g\2\2\u00af\u00b0\7m\2\2\u00b0\f")
buf.write("\3\2\2\2\u00b1\u00b2\7u\2\2\u00b2\u00b3\7c\2\2\u00b3\u00b4")
buf.write("\7o\2\2\u00b4\u00b5\7g\2\2\u00b5\u00b6\7\"\2\2\u00b6\u00b7")
buf.write("\7f\2\2\u00b7\u00b8\7c\2\2\u00b8\u00b9\7{\2\2\u00b9\u00ba")
buf.write("\7\"\2\2\u00ba\u00bb\7n\2\2\u00bb\u00bc\7c\2\2\u00bc\u00bd")
buf.write("\7u\2\2\u00bd\u00be\7v\2\2\u00be\u00bf\7\"\2\2\u00bf\u00c0")
buf.write("\7o\2\2\u00c0\u00c1\7q\2\2\u00c1\u00c2\7p\2\2\u00c2\u00c3")
buf.write("\7v\2\2\u00c3\u00c4\7j\2\2\u00c4\16\3\2\2\2\u00c5\u00c6")
buf.write("\7c\2\2\u00c6\u00c7\7p\2\2\u00c7\u00c8\7q\2\2\u00c8\u00c9")
buf.write("\7o\2\2\u00c9\u00ca\7c\2\2\u00ca\u00cb\7n\2\2\u00cb\u00cc")
buf.write("\7{\2\2\u00cc\u00cd\7\"\2\2\u00cd\u00ce\7u\2\2\u00ce\u00cf")
buf.write("\7e\2\2\u00cf\u00d0\7q\2\2\u00d0\u00d1\7t\2\2\u00d1\u00d2")
buf.write("\7g\2\2\u00d2\u00d3\7\"\2\2\u00d3\u00d4\7h\2\2\u00d4\u00d5")
buf.write("\7q\2\2\u00d5\u00d6\7t\2\2\u00d6\u00d7\7\"\2\2\u00d7\20")
buf.write("\3\2\2\2\u00d8\u00d9\7f\2\2\u00d9\22\3\2\2\2\u00da\u00db")
buf.write("\7j\2\2\u00db\24\3\2\2\2\u00dc\u00dd\7o\2\2\u00dd\26\3")
buf.write("\2\2\2\u00de\u00df\7x\2\2\u00df\u00e0\7c\2\2\u00e0\u00e1")
buf.write("\7n\2\2\u00e1\u00e2\7w\2\2\u00e2\u00e3\7g\2\2\u00e3\u00e4")
buf.write("\7u\2\2\u00e4\u00e5\7\"\2\2\u00e5\u00e6\7k\2\2\u00e6\u00e7")
buf.write("\7p\2\2\u00e7\30\3\2\2\2\u00e8\u00e9\7o\2\2\u00e9\u00ea")
buf.write("\7w\2\2\u00ea\u00eb\7u\2\2\u00eb\u00ec\7v\2\2\u00ec\u00ed")
buf.write("\7\"\2\2\u00ed\u00ee\7g\2\2\u00ee\u00ef\7z\2\2\u00ef\u00f0")
buf.write("\7k\2\2\u00f0\u00f1\7u\2\2\u00f1\u00f2\7v\2\2\u00f2\u00f3")
buf.write("\7\"\2\2\u00f3\u00f4\7k\2\2\u00f4\u00f5\7p\2\2\u00f5\32")
buf.write("\3\2\2\2\u00f6\u00f7\7e\2\2\u00f7\u00f8\7j\2\2\u00f8\u00f9")
buf.write("\7g\2\2\u00f9\u00fa\7e\2\2\u00fa\u00fb\7m\2\2\u00fb\u00fc")
buf.write("\7u\2\2\u00fc\u00fd\7\"\2\2\u00fd\u00fe\7h\2\2\u00fe\u00ff")
buf.write("\7q\2\2\u00ff\u0100\7t\2\2\u0100\34\3\2\2\2\u0101\u0102")
buf.write("\7h\2\2\u0102\u0103\7k\2\2\u0103\u0104\7n\2\2\u0104\u0105")
buf.write("\7v\2\2\u0105\u0106\7g\2\2\u0106\u0107\7t\2\2\u0107\36")
buf.write("\3\2\2\2\u0108\u0109\7e\2\2\u0109\u010a\7q\2\2\u010a\u010b")
buf.write("\7p\2\2\u010b\u010c\7h\2\2\u010c\u010d\7k\2\2\u010d\u010e")
buf.write("\7i\2\2\u010e\u010f\7w\2\2\u010f\u0110\7t\2\2\u0110\u0111")
buf.write("\7c\2\2\u0111\u0112\7v\2\2\u0112\u0113\7k\2\2\u0113\u0114")
buf.write("\7q\2\2\u0114\u0115\7p\2\2\u0115\u0116\7u\2\2\u0116\u0117")
buf.write("\7\"\2\2\u0117\u0118\7h\2\2\u0118\u0119\7q\2\2\u0119\u011a")
buf.write("\7t\2\2\u011a \3\2\2\2\u011b\u011c\7h\2\2\u011c\u011d")
buf.write("\7q\2\2\u011d\u011e\7t\2\2\u011e\u011f\7\"\2\2\u011f\u0120")
buf.write("\7g\2\2\u0120\u0121\7c\2\2\u0121\u0122\7e\2\2\u0122\u0123")
buf.write("\7j\2\2\u0123\u0124\7\"\2\2\u0124\u0125\7f\2\2\u0125\u0126")
buf.write("\7c\2\2\u0126\u0127\7v\2\2\u0127\u0128\7c\2\2\u0128\u0129")
buf.write("\7u\2\2\u0129\u012a\7g\2\2\u012a\u012b\7v\2\2\u012b\"")
buf.write("\3\2\2\2\u012c\u012d\7h\2\2\u012d\u012e\7q\2\2\u012e\u012f")
buf.write("\7t\2\2\u012f\u0130\7\"\2\2\u0130\u0131\7g\2\2\u0131\u0132")
buf.write("\7c\2\2\u0132\u0133\7e\2\2\u0133\u0134\7j\2\2\u0134\u0135")
buf.write("\7\"\2\2\u0135\u0136\7v\2\2\u0136\u0137\7c\2\2\u0137\u0138")
buf.write("\7d\2\2\u0138\u0139\7n\2\2\u0139\u013a\7g\2\2\u013a$\3")
buf.write("\2\2\2\u013b\u013c\7h\2\2\u013c\u013d\7q\2\2\u013d\u013e")
buf.write("\7t\2\2\u013e\u013f\7\"\2\2\u013f\u0140\7g\2\2\u0140\u0141")
buf.write("\7c\2\2\u0141\u0142\7e\2\2\u0142\u0143\7j\2\2\u0143\u0144")
buf.write("\7\"\2\2\u0144\u0145\7e\2\2\u0145\u0146\7q\2\2\u0146\u0147")
buf.write("\7n\2\2\u0147\u0148\7w\2\2\u0148\u0149\7o\2\2\u0149\u014a")
buf.write("\7p\2\2\u014a&\3\2\2\2\u014b\u014c\7\60\2\2\u014c(\3\2")
buf.write("\2\2\u014d\u014e\7h\2\2\u014e\u014f\7q\2\2\u014f\u0150")
buf.write("\7t\2\2\u0150*\3\2\2\2\u0151\u0152\7c\2\2\u0152\u0153")
buf.write("\7p\2\2\u0153\u0154\7f\2\2\u0154,\3\2\2\2\u0155\u0156")
buf.write("\7d\2\2\u0156\u0157\7g\2\2\u0157\u0158\7v\2\2\u0158\u0159")
buf.write("\7y\2\2\u0159\u015a\7g\2\2\u015a\u015b\7g\2\2\u015b\u015c")
buf.write("\7p\2\2\u015c.\3\2\2\2\u015d\u015e\7p\2\2\u015e\u015f")
buf.write("\7q\2\2\u015f\u0160\7v\2\2\u0160\60\3\2\2\2\u0161\u0162")
buf.write("\7k\2\2\u0162\u0163\7p\2\2\u0163\62\3\2\2\2\u0164\u0165")
buf.write("\7y\2\2\u0165\u0166\7c\2\2\u0166\u0167\7t\2\2\u0167\u0168")
buf.write("\7p\2\2\u0168\64\3\2\2\2\u0169\u016a\7h\2\2\u016a\u016b")
buf.write("\7c\2\2\u016b\u016c\7k\2\2\u016c\u016d\7n\2\2\u016d\66")
buf.write("\3\2\2\2\u016e\u016f\7r\2\2\u016f\u0170\7c\2\2\u0170\u0171")
buf.write("\7u\2\2\u0171\u0172\7u\2\2\u01728\3\2\2\2\u0173\u0174")
buf.write("\7e\2\2\u0174\u0175\7j\2\2\u0175\u0176\7c\2\2\u0176\u0177")
buf.write("\7p\2\2\u0177\u0178\7i\2\2\u0178\u0179\7g\2\2\u0179:\3")
buf.write("\2\2\2\u017a\u017b\7n\2\2\u017b\u017c\7c\2\2\u017c\u017d")
buf.write("\7u\2\2\u017d\u017e\7v\2\2\u017e<\3\2\2\2\u017f\u0180")
buf.write("\7c\2\2\u0180\u0181\7x\2\2\u0181\u0182\7i\2\2\u0182>\3")
buf.write("\2\2\2\u0183\u0184\7o\2\2\u0184\u0185\7k\2\2\u0185\u0186")
buf.write("\7p\2\2\u0186@\3\2\2\2\u0187\u0188\7o\2\2\u0188\u0189")
buf.write("\7c\2\2\u0189\u018a\7z\2\2\u018aB\3\2\2\2\u018b\u018c")
buf.write("\7]\2\2\u018cD\3\2\2\2\u018d\u018e\7_\2\2\u018eF\3\2\2")
buf.write("\2\u018f\u0190\7}\2\2\u0190H\3\2\2\2\u0191\u0192\7\177")
buf.write("\2\2\u0192J\3\2\2\2\u0193\u0194\7*\2\2\u0194L\3\2\2\2")
buf.write("\u0195\u0196\7+\2\2\u0196N\3\2\2\2\u0197\u0198\7.\2\2")
buf.write("\u0198P\3\2\2\2\u0199\u019a\7\'\2\2\u019aR\3\2\2\2\u019b")
buf.write("\u019c\7-\2\2\u019cT\3\2\2\2\u019d\u019e\7/\2\2\u019e")
buf.write("V\3\2\2\2\u019f\u01a0\7#\2\2\u01a0\u01a1\7?\2\2\u01a1")
buf.write("X\3\2\2\2\u01a2\u01a3\7>\2\2\u01a3\u01a4\7@\2\2\u01a4")
buf.write("Z\3\2\2\2\u01a5\u01a6\7>\2\2\u01a6\u01a7\7?\2\2\u01a7")
buf.write("\\\3\2\2\2\u01a8\u01a9\7@\2\2\u01a9\u01aa\7?\2\2\u01aa")
buf.write("^\3\2\2\2\u01ab\u01ac\7?\2\2\u01ac`\3\2\2\2\u01ad\u01ae")
buf.write("\7>\2\2\u01aeb\3\2\2\2\u01af\u01b0\7@\2\2\u01b0d\3\2\2")
buf.write("\2\u01b1\u01b5\7$\2\2\u01b2\u01b6\n\2\2\2\u01b3\u01b4")
buf.write("\7^\2\2\u01b4\u01b6\7$\2\2\u01b5\u01b2\3\2\2\2\u01b5\u01b3")
buf.write("\3\2\2\2\u01b6\u01b7\3\2\2\2\u01b7\u01b5\3\2\2\2\u01b7")
buf.write("\u01b8\3\2\2\2\u01b8\u01b9\3\2\2\2\u01b9\u01ba\7$\2\2")
buf.write("\u01baf\3\2\2\2\u01bb\u01bf\7b\2\2\u01bc\u01c0\n\3\2\2")
buf.write("\u01bd\u01be\7^\2\2\u01be\u01c0\7b\2\2\u01bf\u01bc\3\2")
buf.write("\2\2\u01bf\u01bd\3\2\2\2\u01c0\u01c1\3\2\2\2\u01c1\u01bf")
buf.write("\3\2\2\2\u01c1\u01c2\3\2\2\2\u01c2\u01c3\3\2\2\2\u01c3")
buf.write("\u01c4\7b\2\2\u01c4h\3\2\2\2\u01c5\u01c9\t\4\2\2\u01c6")
buf.write("\u01c8\n\5\2\2\u01c7\u01c6\3\2\2\2\u01c8\u01cb\3\2\2\2")
buf.write("\u01c9\u01c7\3\2\2\2\u01c9\u01ca\3\2\2\2\u01caj\3\2\2")
buf.write("\2\u01cb\u01c9\3\2\2\2\u01cc\u01ce\t\6\2\2\u01cd\u01cc")
buf.write("\3\2\2\2\u01ce\u01cf\3\2\2\2\u01cf\u01cd\3\2\2\2\u01cf")
buf.write("\u01d0\3\2\2\2\u01d0l\3\2\2\2\u01d1\u01d2\7\"\2\2\u01d2")
buf.write("n\3\2\2\2\t\2\u01b5\u01b7\u01bf\u01c1\u01c9\u01cf\2")
return buf.getvalue()
class SodaCLAntlrLexer(Lexer):
atn = ATNDeserializer().deserialize(serializedATN())
decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ]
T__0 = 1
T__1 = 2
T__2 = 3
T__3 = 4
T__4 = 5
T__5 = 6
T__6 = 7
T__7 = 8
T__8 = 9
T__9 = 10
T__10 = 11
T__11 = 12
T__12 = 13
T__13 = 14
T__14 = 15
T__15 = 16
T__16 = 17
T__17 = 18
T__18 = 19
FOR = 20
AND = 21
BETWEEN = 22
NOT = 23
IN = 24
WARN = 25
FAIL = 26
PASS = 27
CHANGE = 28
LAST = 29
AVG = 30
MIN = 31
MAX = 32
SQUARE_LEFT = 33
SQUARE_RIGHT = 34
CURLY_LEFT = 35
CURLY_RIGHT = 36
ROUND_LEFT = 37
ROUND_RIGHT = 38
COMMA = 39
PERCENT = 40
PLUS = 41
MINUS = 42
NOT_EQUAL = 43
NOT_EQUAL_SQL = 44
LTE = 45
GTE = 46
EQUAL = 47
LT = 48
GT = 49
IDENTIFIER_DOUBLE_QUOTE = 50
IDENTIFIER_BACKTICK = 51
IDENTIFIER_UNQUOTED = 52
DIGITS = 53
S = 54
channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ]
modeNames = [ "DEFAULT_MODE" ]
literalNames = [ "<INVALID>",
"'freshness using'", "'with'", "'row_count same as'", "'default'",
"'same day last week'", "'same day last month'", "'anomaly score for '",
"'d'", "'h'", "'m'", "'values in'", "'must exist in'", "'checks for'",
"'filter'", "'configurations for'", "'for each dataset'", "'for each table'",
"'for each column'", "'.'", "'for'", "'and'", "'between'", "'not'",
"'in'", "'warn'", "'fail'", "'pass'", "'change'", "'last'",
"'avg'", "'min'", "'max'", "'['", "']'", "'{'", "'}'", "'('",
"')'", "','", "'%'", "'+'", "'-'", "'!='", "'<>'", "'<='", "'>='",
"'='", "'<'", "'>'", "' '" ]
symbolicNames = [ "<INVALID>",
"FOR", "AND", "BETWEEN", "NOT", "IN", "WARN", "FAIL", "PASS",
"CHANGE", "LAST", "AVG", "MIN", "MAX", "SQUARE_LEFT", "SQUARE_RIGHT",
"CURLY_LEFT", "CURLY_RIGHT", "ROUND_LEFT", "ROUND_RIGHT", "COMMA",
"PERCENT", "PLUS", "MINUS", "NOT_EQUAL", "NOT_EQUAL_SQL", "LTE",
"GTE", "EQUAL", "LT", "GT", "IDENTIFIER_DOUBLE_QUOTE", "IDENTIFIER_BACKTICK",
"IDENTIFIER_UNQUOTED", "DIGITS", "S" ]
ruleNames = [ "T__0", "T__1", "T__2", "T__3", "T__4", "T__5", "T__6",
"T__7", "T__8", "T__9", "T__10", "T__11", "T__12", "T__13",
"T__14", "T__15", "T__16", "T__17", "T__18", "FOR", "AND",
"BETWEEN", "NOT", "IN", "WARN", "FAIL", "PASS", "CHANGE",
"LAST", "AVG", "MIN", "MAX", "SQUARE_LEFT", "SQUARE_RIGHT",
"CURLY_LEFT", "CURLY_RIGHT", "ROUND_LEFT", "ROUND_RIGHT",
"COMMA", "PERCENT", "PLUS", "MINUS", "NOT_EQUAL", "NOT_EQUAL_SQL",
"LTE", "GTE", "EQUAL", "LT", "GT", "IDENTIFIER_DOUBLE_QUOTE",
"IDENTIFIER_BACKTICK", "IDENTIFIER_UNQUOTED", "DIGITS",
"S" ]
grammarFileName = "SodaCLAntlr.g4"
def __init__(self, input=None, output:TextIO = sys.stdout):
super().__init__(input, output)
self.checkVersion("4.9.3")
self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache())
self._actions = None
self._predicates = None
| 59.054313
| 103
| 0.560052
| 4,214
| 18,484
| 2.424063
| 0.150451
| 0.125893
| 0.053744
| 0.055605
| 0.323152
| 0.19628
| 0.145472
| 0.12697
| 0.12697
| 0.12374
| 0
| 0.337426
| 0.154079
| 18,484
| 312
| 104
| 59.24359
| 0.315874
| 0.005302
| 0
| 0
| 1
| 0.52381
| 0.577902
| 0.517735
| 0
| 0
| 0
| 0
| 0
| 1
| 0.006803
| false
| 0.013605
| 0.017007
| 0
| 0.241497
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
356936e019216341163555e81a4beb4f9d4afda5
| 23
|
py
|
Python
|
baron.py
|
Alexandra-Baron/belhard_52
|
446974fbceaac6b66798b22f52610fa964921337
|
[
"MIT"
] | null | null | null |
baron.py
|
Alexandra-Baron/belhard_52
|
446974fbceaac6b66798b22f52610fa964921337
|
[
"MIT"
] | null | null | null |
baron.py
|
Alexandra-Baron/belhard_52
|
446974fbceaac6b66798b22f52610fa964921337
|
[
"MIT"
] | null | null | null |
print('baron')
#surname
| 11.5
| 14
| 0.73913
| 3
| 23
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 23
| 2
| 15
| 11.5
| 0.772727
| 0.304348
| 0
| 0
| 0
| 0
| 0.3125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 5
|
3570bfb5e37e372122a4c5fd8deb941dd9988012
| 74
|
py
|
Python
|
plugins/hello.py
|
Ruthenic/tesm
|
8f44b5f5f9ef31eff7c3275717fb6be63388d14c
|
[
"Unlicense"
] | null | null | null |
plugins/hello.py
|
Ruthenic/tesm
|
8f44b5f5f9ef31eff7c3275717fb6be63388d14c
|
[
"Unlicense"
] | 1
|
2021-02-15T22:04:04.000Z
|
2021-02-15T22:04:09.000Z
|
plugins/hello.py
|
Ruthenic/tesm
|
8f44b5f5f9ef31eff7c3275717fb6be63388d14c
|
[
"Unlicense"
] | 1
|
2021-02-15T22:01:27.000Z
|
2021-02-15T22:01:27.000Z
|
def hw(addr,vaddr,inst):
print("Hello, world!")
return addr,vaddr
| 18.5
| 26
| 0.648649
| 11
| 74
| 4.363636
| 0.818182
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189189
| 74
| 3
| 27
| 24.666667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0.175676
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
357db2db44ce50a2b1b9bec68ff6e072054cb5ac
| 162
|
py
|
Python
|
forcepush/inputs/__init__.py
|
wouterrvdb/ForcePush
|
eec35e01b4e9c283897c8e0febe1378a36ac8583
|
[
"MIT"
] | null | null | null |
forcepush/inputs/__init__.py
|
wouterrvdb/ForcePush
|
eec35e01b4e9c283897c8e0febe1378a36ac8583
|
[
"MIT"
] | 6
|
2018-11-04T19:32:49.000Z
|
2018-11-11T14:59:28.000Z
|
forcepush/inputs/__init__.py
|
wouterrvdb/ForcePush
|
eec35e01b4e9c283897c8e0febe1378a36ac8583
|
[
"MIT"
] | 1
|
2018-11-09T15:55:45.000Z
|
2018-11-09T15:55:45.000Z
|
from forcepush.logic import player
from .input_manager import InputManager
input_manager = InputManager()
input_manager.register_handler(player.movement_handler)
| 32.4
| 55
| 0.87037
| 20
| 162
| 6.8
| 0.55
| 0.264706
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.074074
| 162
| 5
| 55
| 32.4
| 0.906667
| 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
| 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
| 0
| 0
| 0
|
0
| 5
|
3587b9c770fdc7e846922863731e2ab605ee0ba7
| 76
|
py
|
Python
|
slack_logging_handler/__init__.py
|
danie1cohen/slack_handler
|
33c4a04f4e5f4a6e187dbba8808a41d4a86fc1a5
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
slack_logging_handler/__init__.py
|
danie1cohen/slack_handler
|
33c4a04f4e5f4a6e187dbba8808a41d4a86fc1a5
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
slack_logging_handler/__init__.py
|
danie1cohen/slack_handler
|
33c4a04f4e5f4a6e187dbba8808a41d4a86fc1a5
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
from .slack_logging_handler import SlackHandler, color_picker, build_logger
| 38
| 75
| 0.881579
| 10
| 76
| 6.3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 76
| 1
| 76
| 76
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
35ad7f3991729dbf0b8dc5b6d59394b6fe3d5c0b
| 25
|
py
|
Python
|
src/test/pythonFiles/definition/three.py
|
ChaseKnowlden/vscode-jupyter
|
9bdaf87f0b6dcd717c508e9023350499a6093f97
|
[
"MIT"
] | 615
|
2020-11-11T22:55:28.000Z
|
2022-03-30T21:48:08.000Z
|
src/test/pythonFiles/definition/three.py
|
ChaseKnowlden/vscode-jupyter
|
9bdaf87f0b6dcd717c508e9023350499a6093f97
|
[
"MIT"
] | 8,428
|
2020-11-11T22:06:43.000Z
|
2022-03-31T23:42:34.000Z
|
src/test/pythonFiles/definition/three.py
|
vasili8m/vscode-python
|
846eee870e8b7bab38172600836faedb5fb80166
|
[
"MIT"
] | 158
|
2020-11-12T07:49:02.000Z
|
2022-03-27T20:50:20.000Z
|
import two
two.ct().fun()
| 12.5
| 14
| 0.68
| 5
| 25
| 3.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 25
| 2
| 14
| 12.5
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
ea6b563adc4b45d42748a0ee76b24f8473adb6f5
| 252
|
py
|
Python
|
krankenfinder/preprocessor.py
|
tuxedocat/ntcir13-medweb
|
2be52d56b1d57fbbd5b6c7b3b7f5021da56f99d7
|
[
"MIT"
] | null | null | null |
krankenfinder/preprocessor.py
|
tuxedocat/ntcir13-medweb
|
2be52d56b1d57fbbd5b6c7b3b7f5021da56f99d7
|
[
"MIT"
] | null | null | null |
krankenfinder/preprocessor.py
|
tuxedocat/ntcir13-medweb
|
2be52d56b1d57fbbd5b6c7b3b7f5021da56f99d7
|
[
"MIT"
] | null | null | null |
"""Perform pre-process such as normalization by rules"""
import pandas as pd
import re
import functools
def apply_ja(s: str) -> str:
return s
def _ja_split_sentence(s: str) -> str:
return s
def _ja_normalize(s: str) -> str:
return s
| 14
| 56
| 0.68254
| 41
| 252
| 4.04878
| 0.536585
| 0.072289
| 0.126506
| 0.23494
| 0.313253
| 0.228916
| 0.228916
| 0
| 0
| 0
| 0
| 0
| 0.218254
| 252
| 17
| 57
| 14.823529
| 0.84264
| 0.198413
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 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
| 1
| 1
| 1
| 0
|
0
| 5
|
57616397f5e3530c3130e8d47e20bb3cef6c8712
| 202
|
py
|
Python
|
lib/matplotlib/tests/test_gridspec.py
|
jbbrokaw/matplotlib
|
86ec1b6fc5628bfb2d09797c58d7eed0ca8c2427
|
[
"MIT",
"BSD-3-Clause"
] | 113
|
2015-08-16T22:38:56.000Z
|
2022-01-27T16:46:09.000Z
|
lib/matplotlib/tests/test_gridspec.py
|
yingkailiang/matplotlib
|
255a79b106c98c1904489afe6a754e4d943179d6
|
[
"MIT",
"BSD-3-Clause"
] | 7
|
2015-05-08T19:36:25.000Z
|
2015-06-30T15:32:17.000Z
|
lib/matplotlib/tests/test_gridspec.py
|
yingkailiang/matplotlib
|
255a79b106c98c1904489afe6a754e4d943179d6
|
[
"MIT",
"BSD-3-Clause"
] | 41
|
2015-08-16T22:38:28.000Z
|
2022-01-26T21:21:30.000Z
|
import matplotlib.gridspec as gridspec
from nose.tools import assert_equal
def test_equal():
gs = gridspec.GridSpec(2, 1)
assert_equal(gs[0, 0], gs[0, 0])
assert_equal(gs[:, 0], gs[:, 0])
| 22.444444
| 38
| 0.673267
| 33
| 202
| 4
| 0.454545
| 0.090909
| 0.19697
| 0.212121
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 0.178218
| 202
| 8
| 39
| 25.25
| 0.746988
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
576948986b51fe6e064f72bb52b6b7f07dae284f
| 202
|
py
|
Python
|
main.py
|
seunghaekim/achapters003-ggded
|
a507d941b9ed985e50a3e06a28d67e1a8d305325
|
[
"MIT"
] | null | null | null |
main.py
|
seunghaekim/achapters003-ggded
|
a507d941b9ed985e50a3e06a28d67e1a8d305325
|
[
"MIT"
] | 1
|
2018-05-24T23:36:05.000Z
|
2018-05-27T15:33:54.000Z
|
main.py
|
gtsz-rcp/achapters003-ggded
|
a507d941b9ed985e50a3e06a28d67e1a8d305325
|
[
"MIT"
] | null | null | null |
import BartlebyMachine.main as bartleby
import BartlebyMachine.book as book
bartleby = bartleby.Bartleby()
bartleby.addTableOfContent('toc.ggded.yaml')
bartleby.markdownToLatex()
bartleby.writeLatex()
| 25.25
| 44
| 0.831683
| 22
| 202
| 7.636364
| 0.545455
| 0.285714
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.074257
| 202
| 7
| 45
| 28.857143
| 0.898396
| 0
| 0
| 0
| 0
| 0
| 0.069307
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
57d1547aa37e3a3af1928de52e11d20cfcd5d2dc
| 19
|
py
|
Python
|
paraml/localDocker.py
|
yadudoc/ParaML
|
17464483c09785068c797b66ac591f01a17150a8
|
[
"Apache-2.0"
] | null | null | null |
paraml/localDocker.py
|
yadudoc/ParaML
|
17464483c09785068c797b66ac591f01a17150a8
|
[
"Apache-2.0"
] | null | null | null |
paraml/localDocker.py
|
yadudoc/ParaML
|
17464483c09785068c797b66ac591f01a17150a8
|
[
"Apache-2.0"
] | null | null | null |
localDockerIPP = {
| 9.5
| 18
| 0.736842
| 1
| 19
| 14
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 19
| 1
| 19
| 19
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 1
| 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
| 5
|
57d89de9b57ef5c17068645713e365ab53e5808d
| 119
|
py
|
Python
|
home/admin.py
|
mysteriousCoder9991/To-Do-List-Rahul
|
fee2fc321ef22893ec51cec630f1d8b7c8c1a0af
|
[
"CC0-1.0"
] | null | null | null |
home/admin.py
|
mysteriousCoder9991/To-Do-List-Rahul
|
fee2fc321ef22893ec51cec630f1d8b7c8c1a0af
|
[
"CC0-1.0"
] | null | null | null |
home/admin.py
|
mysteriousCoder9991/To-Do-List-Rahul
|
fee2fc321ef22893ec51cec630f1d8b7c8c1a0af
|
[
"CC0-1.0"
] | null | null | null |
from django.contrib import admin
from home.models import Task
# Register your models here.
admin.site.register(Task)
| 29.75
| 33
| 0.798319
| 18
| 119
| 5.277778
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134454
| 119
| 4
| 34
| 29.75
| 0.92233
| 0.218487
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
57f375490a6904b0b8279a2472dbd0441fea9d0e
| 61
|
py
|
Python
|
rlgym/envs/__init__.py
|
syKevinPeng/rocket-league-gym
|
23b949e7a5a89b384b5e6c06ab6b3d8ca01e35f3
|
[
"Apache-2.0"
] | 63
|
2021-03-07T00:00:09.000Z
|
2022-03-27T16:11:26.000Z
|
rlgym/envs/__init__.py
|
syKevinPeng/rocket-league-gym
|
23b949e7a5a89b384b5e6c06ab6b3d8ca01e35f3
|
[
"Apache-2.0"
] | 21
|
2021-03-12T16:02:30.000Z
|
2022-03-29T01:59:32.000Z
|
rlgym/envs/__init__.py
|
syKevinPeng/rocket-league-gym
|
23b949e7a5a89b384b5e6c06ab6b3d8ca01e35f3
|
[
"Apache-2.0"
] | 23
|
2021-03-12T16:04:35.000Z
|
2022-03-28T15:49:24.000Z
|
from .environment import Environment
from .match import Match
| 30.5
| 36
| 0.852459
| 8
| 61
| 6.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114754
| 61
| 2
| 37
| 30.5
| 0.962963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
17e07cc092c05af6e9d91ddb9ee809cea8352925
| 25
|
py
|
Python
|
jtracker/__init__.py
|
jthub/jt-cli
|
dff134b8ce7102bc11c0bb64e4a2cb510ebaedd0
|
[
"Apache-2.0"
] | 2
|
2018-12-13T01:09:34.000Z
|
2020-02-04T13:31:34.000Z
|
jtracker/__init__.py
|
jtracker-io/jt-cli
|
dff134b8ce7102bc11c0bb64e4a2cb510ebaedd0
|
[
"Apache-2.0"
] | 36
|
2018-04-20T20:50:03.000Z
|
2019-02-27T04:39:03.000Z
|
jtracker/__init__.py
|
jthub/jt-cli
|
dff134b8ce7102bc11c0bb64e4a2cb510ebaedd0
|
[
"Apache-2.0"
] | 1
|
2018-09-24T18:50:38.000Z
|
2018-09-24T18:50:38.000Z
|
__version__ = '0.2.0a33'
| 12.5
| 24
| 0.68
| 4
| 25
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 0.12
| 25
| 1
| 25
| 25
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0.32
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
aa0d21e167fcae5137ecd9fc28f7b2d904820f48
| 50
|
py
|
Python
|
thresh/__main__.py
|
06f7b1afdb2a4801b0dbde6635f227b7/thresh
|
0de63f46c65061b2a8a71b4ce9596dc0bc2e4b62
|
[
"MIT"
] | null | null | null |
thresh/__main__.py
|
06f7b1afdb2a4801b0dbde6635f227b7/thresh
|
0de63f46c65061b2a8a71b4ce9596dc0bc2e4b62
|
[
"MIT"
] | 6
|
2021-08-05T16:39:48.000Z
|
2022-02-01T20:55:13.000Z
|
thresh/__main__.py
|
06f7b1afdb2a4801b0dbde6635f227b7/thresh
|
0de63f46c65061b2a8a71b4ce9596dc0bc2e4b62
|
[
"MIT"
] | null | null | null |
import sys
from . import main
main(sys.argv[1:])
| 10
| 18
| 0.7
| 9
| 50
| 3.888889
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02381
| 0.16
| 50
| 4
| 19
| 12.5
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
aa29f8ac9599baf866d35eab52faeed2193075e3
| 1,422
|
py
|
Python
|
tests/pages/login_page.py
|
Schveitzer/selenium-python-bdd-behave-example
|
2dc16006a27565b2aac3712292f4449f8d162c7d
|
[
"Apache-2.0"
] | null | null | null |
tests/pages/login_page.py
|
Schveitzer/selenium-python-bdd-behave-example
|
2dc16006a27565b2aac3712292f4449f8d162c7d
|
[
"Apache-2.0"
] | null | null | null |
tests/pages/login_page.py
|
Schveitzer/selenium-python-bdd-behave-example
|
2dc16006a27565b2aac3712292f4449f8d162c7d
|
[
"Apache-2.0"
] | null | null | null |
from selenium.webdriver.common.by import By
from browser import Driver
class LoginPage(Driver):
instance = None
@classmethod
def get_instance(cls):
if cls.instance is None:
cls.instance = LoginPage()
return cls.instance
def open(self, context):
self.driver.get(context.baseUrl)
def button_login(self):
return self.driver.find_element(By.CLASS_NAME, "login")
def input_email(self):
return self.driver.find_element(By.ID, "email")
def input_password(self):
return self.driver.find_element(By.ID, "passwd")
def button_submit_login(self):
return self.driver.find_element(By.ID, "SubmitLogin")
def welcome_message(self):
return self.driver.find_element(By.CLASS_NAME, "info-account")
def invalid_credentials_message(self):
return self.driver.find_element(By.XPATH, "//li[text() ='Authentication failed.']")
def button_sign_in_out(self):
return self.driver.find_element(By.XPATH, "//a[contains(@class, 'log')]")
def user_name(self):
return self.driver.find_element(By.XPATH, "//div[@class='header_user_info']//span")
def login(self, user, password):
self.button_login().click()
self.input_email().send_keys(user)
self.input_password().send_keys(password)
self.button_submit_login().click()
LOGIN_PAGE = LoginPage.get_instance()
| 28.44
| 91
| 0.675105
| 186
| 1,422
| 4.978495
| 0.322581
| 0.097192
| 0.12095
| 0.172786
| 0.353132
| 0.353132
| 0.353132
| 0.353132
| 0.090713
| 0
| 0
| 0
| 0.199015
| 1,422
| 49
| 92
| 29.020408
| 0.812994
| 0
| 0
| 0
| 0
| 0
| 0.100563
| 0.026723
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.121212
| 0.060606
| 0.242424
| 0.727273
| 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
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
a4e6a36cee74410d3434b518573a4496b1ab3d6c
| 60
|
py
|
Python
|
extlibs/freetype-2.5.2/src/tools/docmaker/PaxHeaders.20920/docmaker.py
|
halak/bibim
|
ad01efa8aac4f074f64bf033ac0f1ed382060334
|
[
"curl"
] | 3
|
2016-08-28T06:48:11.000Z
|
2019-12-04T13:04:34.000Z
|
extlibs/freetype-2.5.2/src/tools/docmaker/PaxHeaders.20920/docmaker.py
|
Darkttd/Bibim
|
9dec24529ef89536f7686abc1245ea5fc7fa9474
|
[
"curl"
] | 8
|
2016-04-24T13:07:28.000Z
|
2016-06-01T10:04:42.000Z
|
extlibs/freetype-2.5.2/src/tools/docmaker/PaxHeaders.20920/docmaker.py
|
Darkttd/Bibim
|
9dec24529ef89536f7686abc1245ea5fc7fa9474
|
[
"curl"
] | 1
|
2016-08-28T06:47:43.000Z
|
2016-08-28T06:47:43.000Z
|
30 atime=1386526222.135502298
30 ctime=1374498496.154314241
| 20
| 29
| 0.866667
| 8
| 60
| 6.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.75
| 0.066667
| 60
| 2
| 30
| 30
| 0.178571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
35133e39ad8476010c0652e630f94dbcd18b6e2b
| 54
|
py
|
Python
|
Q07__/43_Network_Delay_Time/test.py
|
hsclinical/leetcode
|
48a57f6a5d5745199c5685cd2c8f5c4fa293e54a
|
[
"Apache-2.0"
] | null | null | null |
Q07__/43_Network_Delay_Time/test.py
|
hsclinical/leetcode
|
48a57f6a5d5745199c5685cd2c8f5c4fa293e54a
|
[
"Apache-2.0"
] | null | null | null |
Q07__/43_Network_Delay_Time/test.py
|
hsclinical/leetcode
|
48a57f6a5d5745199c5685cd2c8f5c4fa293e54a
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
from Solution import MyCalendarTwo
| 13.5
| 34
| 0.796296
| 7
| 54
| 6.142857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 54
| 3
| 35
| 18
| 0.895833
| 0.296296
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
3516ad3e70ac774ed75d96040bd3b9889e3a12c0
| 131
|
py
|
Python
|
todo/admin.py
|
fidele000/Ftodo-RestAPI-Django
|
8c695503e04a3957920910acb9f1bb823ece4287
|
[
"MIT"
] | null | null | null |
todo/admin.py
|
fidele000/Ftodo-RestAPI-Django
|
8c695503e04a3957920910acb9f1bb823ece4287
|
[
"MIT"
] | null | null | null |
todo/admin.py
|
fidele000/Ftodo-RestAPI-Django
|
8c695503e04a3957920910acb9f1bb823ece4287
|
[
"MIT"
] | null | null | null |
from todo.models import UserProfile
from django.contrib import admin
# Register your models here.
admin.site.register(UserProfile)
| 26.2
| 35
| 0.832061
| 18
| 131
| 6.055556
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10687
| 131
| 5
| 36
| 26.2
| 0.931624
| 0.198473
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
352a69ff2eb811c23b55800b5a443be651f4e339
| 135
|
py
|
Python
|
igramscraper/endpoints/instagram_query_id.py
|
a7t0fwa7/instagram-scraper
|
9d21fbaed8099a0deffcd1a7b874ce47ababa52e
|
[
"MIT"
] | 1
|
2021-09-26T05:42:13.000Z
|
2021-09-26T05:42:13.000Z
|
igramscraper/endpoints/instagram_query_id.py
|
a7t0fwa7/instagram-scraper
|
9d21fbaed8099a0deffcd1a7b874ce47ababa52e
|
[
"MIT"
] | null | null | null |
igramscraper/endpoints/instagram_query_id.py
|
a7t0fwa7/instagram-scraper
|
9d21fbaed8099a0deffcd1a7b874ce47ababa52e
|
[
"MIT"
] | null | null | null |
class InstagramQueryId:
USER_MEDIAS = '17880160963012870'
USER_STORIES = '17890626976041463'
STORIES = '17873473675158481'
| 27
| 38
| 0.755556
| 10
| 135
| 10
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.455357
| 0.17037
| 135
| 4
| 39
| 33.75
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0.377778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 1
| 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
| 1
| 0
|
0
| 5
|
103ec40d55831f26c6b9c3ac87ff716f619e26dc
| 236
|
py
|
Python
|
kafka_streamer/topic/datatype/byte.py
|
sam-mosleh/kafka-streamer
|
be977af192b33a335b42af0a42ad05d9f3f9fef4
|
[
"BSD-3-Clause"
] | 1
|
2020-06-26T00:10:05.000Z
|
2020-06-26T00:10:05.000Z
|
kafka_streamer/topic/datatype/byte.py
|
sam-mosleh/kafka-streamer
|
be977af192b33a335b42af0a42ad05d9f3f9fef4
|
[
"BSD-3-Clause"
] | null | null | null |
kafka_streamer/topic/datatype/byte.py
|
sam-mosleh/kafka-streamer
|
be977af192b33a335b42af0a42ad05d9f3f9fef4
|
[
"BSD-3-Clause"
] | null | null | null |
from typing import Optional
from .base import KafkaDataType
class ByteDataType(KafkaDataType):
def deserialize(self, data: bytes) -> bytes:
return data
def serialize(self, data: Optional[bytes]):
return data
| 19.666667
| 48
| 0.70339
| 27
| 236
| 6.148148
| 0.555556
| 0.096386
| 0.180723
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220339
| 236
| 11
| 49
| 21.454545
| 0.902174
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.285714
| 0.285714
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 5
|
1067b5d0da1317c7679814711426930674ccd440
| 137
|
py
|
Python
|
bsc/config/configuration.py
|
simao-ferreira/bscscan-wrapper
|
33b860ab55f8e880d90dd4cb5db790db0f22b84c
|
[
"BSD-3-Clause"
] | null | null | null |
bsc/config/configuration.py
|
simao-ferreira/bscscan-wrapper
|
33b860ab55f8e880d90dd4cb5db790db0f22b84c
|
[
"BSD-3-Clause"
] | null | null | null |
bsc/config/configuration.py
|
simao-ferreira/bscscan-wrapper
|
33b860ab55f8e880d90dd4cb5db790db0f22b84c
|
[
"BSD-3-Clause"
] | null | null | null |
from bsc.config.helper import get_key_from_file
ADDRESS = get_key_from_file('address.json')
API_KEY = get_key_from_file('api_key.json')
| 27.4
| 47
| 0.817518
| 25
| 137
| 4.04
| 0.44
| 0.178218
| 0.29703
| 0.415842
| 0.415842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080292
| 137
| 4
| 48
| 34.25
| 0.801587
| 0
| 0
| 0
| 0
| 0
| 0.175182
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
10a59d839641483a089d7fcfefaea880293af369
| 65
|
py
|
Python
|
nexuscasc/api/endpoint/__init__.py
|
vjda/nexus3-casc-cli
|
6d33503c19f75b73b656293141911e083331faf0
|
[
"MIT"
] | 7
|
2020-06-30T08:15:53.000Z
|
2022-03-22T10:28:09.000Z
|
nexuscasc/api/endpoint/__init__.py
|
vjda/nexus3-casc-cli
|
6d33503c19f75b73b656293141911e083331faf0
|
[
"MIT"
] | 1
|
2021-09-27T03:24:46.000Z
|
2021-09-27T03:24:46.000Z
|
nexuscasc/api/endpoint/__init__.py
|
vjda/nexus3-casc-cli
|
6d33503c19f75b73b656293141911e083331faf0
|
[
"MIT"
] | 1
|
2020-12-07T14:55:30.000Z
|
2020-12-07T14:55:30.000Z
|
from .script import Script
from .status_check import CheckStatus
| 21.666667
| 37
| 0.846154
| 9
| 65
| 6
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123077
| 65
| 2
| 38
| 32.5
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
10aceb85cff7e8a2d7e82c1b99b8992c37d08654
| 1,205
|
py
|
Python
|
wikipedia_parser/wikipedia_api/urls.py
|
ojones/wikipedia_parser
|
db548290fbc392299bba8adfda9fe18baa1e66fe
|
[
"MIT"
] | 9
|
2016-02-24T20:09:26.000Z
|
2019-03-10T11:33:34.000Z
|
wikipedia_parser/wikipedia_api/urls.py
|
ojones/wikipedia_parser
|
db548290fbc392299bba8adfda9fe18baa1e66fe
|
[
"MIT"
] | 1
|
2019-02-13T17:38:50.000Z
|
2019-02-13T17:38:50.000Z
|
wikipedia_parser/wikipedia_api/urls.py
|
ojones/wikipedia_parser
|
db548290fbc392299bba8adfda9fe18baa1e66fe
|
[
"MIT"
] | 1
|
2016-04-05T05:28:51.000Z
|
2016-04-05T05:28:51.000Z
|
ENDPOINT = "https://en.wikipedia.org/w/api.php"
def make_url(id, is_expanded=False, is_html=False):
# TODO: isdigit is not robust enough, title could be number instead of string
return make_id_url(id, is_expanded, is_html) if str(id).isdigit() else make_title_url(id, is_expanded, is_html)
def make_title_url(id, is_expanded=False, is_html=False):
url = ENDPOINT + "?action=query&titles=" + url_safe_spaces(str(id)) + "&prop=revisions|pageprops&rvprop=content&format=json"
if is_expanded:
url += "&rvexpandtemplates"
if is_html:
url = ENDPOINT + "?format=json&rvprop=content&prop=revisions&rvparse=&titles=" + url_safe_spaces(str(id)) + "&rvlimit=1&action=query"
return url
def make_id_url(id, is_expanded=False, is_html=False):
url = ENDPOINT + "?action=query&pageids=" + url_safe_spaces(str(id)) + "&prop=revisions|pageprops&rvprop=content&format=json"
if is_expanded:
url += "&rvexpandtemplates"
if is_html:
url = ENDPOINT + "?format=json&rvprop=content&prop=revisions&rvparse=&pageids=" + url_safe_spaces(str(id)) + "&rvlimit=1&action=query"
return url
def url_safe_spaces(text):
return text.replace(" ", "%20")
| 35.441176
| 142
| 0.701245
| 176
| 1,205
| 4.613636
| 0.295455
| 0.086207
| 0.043103
| 0.092365
| 0.796798
| 0.796798
| 0.676108
| 0.676108
| 0.637931
| 0.637931
| 0
| 0.003933
| 0.156017
| 1,205
| 34
| 143
| 35.441176
| 0.794494
| 0.062241
| 0
| 0.421053
| 0
| 0
| 0.341895
| 0.276351
| 0
| 0
| 0
| 0.029412
| 0
| 1
| 0.210526
| false
| 0
| 0
| 0.105263
| 0.421053
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
52b3b7d2476e1996684985e7139f6cd3c88d823e
| 1,958
|
py
|
Python
|
tests/integration_tests/test_integration.py
|
VladSkripniuk/optuna
|
81d5b67a81ae14d606e6d6120ce50d02e90b0942
|
[
"MIT"
] | 2
|
2020-05-04T11:26:02.000Z
|
2020-07-18T12:59:58.000Z
|
tests/integration_tests/test_integration.py
|
VladSkripniuk/optuna
|
81d5b67a81ae14d606e6d6120ce50d02e90b0942
|
[
"MIT"
] | 2
|
2020-02-13T01:05:40.000Z
|
2020-03-12T08:19:02.000Z
|
tests/integration_tests/test_integration.py
|
VladSkripniuk/optuna
|
81d5b67a81ae14d606e6d6120ce50d02e90b0942
|
[
"MIT"
] | 1
|
2020-12-25T03:27:26.000Z
|
2020-12-25T03:27:26.000Z
|
import pytest
def test_import():
# type: () -> None
from optuna.integration import chainer # NOQA
from optuna.integration import chainermn # NOQA
from optuna.integration import keras # NOQA
from optuna.integration import lightgbm # NOQA
from optuna.integration import mxnet # NOQA
from optuna.integration import tensorflow # NOQA
from optuna.integration import xgboost # NOQA
from optuna.integration import ChainerMNStudy # NOQA
from optuna.integration import ChainerPruningExtension # NOQA
from optuna.integration import KerasPruningCallback # NOQA
from optuna.integration import LightGBMPruningCallback # NOQA
from optuna.integration import MXNetPruningCallback # NOQA
from optuna.integration import TensorFlowPruningHook # NOQA
from optuna.integration import XGBoostPruningCallback # NOQA
with pytest.raises(ImportError):
from optuna.integration import unknown_module # type: ignore # NOQA
def test_module_attributes():
# type: () -> None
import optuna
assert hasattr(optuna.integration, 'chainer')
assert hasattr(optuna.integration, 'chainermn')
assert hasattr(optuna.integration, 'keras')
assert hasattr(optuna.integration, 'lightgbm')
assert hasattr(optuna.integration, 'mxnet')
assert hasattr(optuna.integration, 'tensorflow')
assert hasattr(optuna.integration, 'xgboost')
assert hasattr(optuna.integration, 'ChainerMNStudy')
assert hasattr(optuna.integration, 'ChainerPruningExtension')
assert hasattr(optuna.integration, 'KerasPruningCallback')
assert hasattr(optuna.integration, 'LightGBMPruningCallback')
assert hasattr(optuna.integration, 'MXNetPruningCallback')
assert hasattr(optuna.integration, 'TensorFlowPruningHook')
assert hasattr(optuna.integration, 'XGBoostPruningCallback')
with pytest.raises(AttributeError):
optuna.integration.unknown_attribute # type: ignore
| 39.959184
| 76
| 0.754341
| 192
| 1,958
| 7.666667
| 0.182292
| 0.346467
| 0.213995
| 0.275136
| 0.273777
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.171093
| 1,958
| 48
| 77
| 40.791667
| 0.906962
| 0.068948
| 0
| 0
| 0
| 0
| 0.107598
| 0.049362
| 0
| 0
| 0
| 0
| 0.388889
| 1
| 0.055556
| true
| 0
| 0.527778
| 0
| 0.583333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
52e3594a58274b46e9c615d5967c562314c20380
| 153
|
py
|
Python
|
test_scripts/ns_instance/get_one.py
|
lremember/VFC
|
837559db1396091811382359100bfc60e1aab5b2
|
[
"MIT"
] | 1
|
2019-10-10T00:52:18.000Z
|
2019-10-10T00:52:18.000Z
|
test_scripts/ns_instance/get_one.py
|
lremember/VFC-Files
|
837559db1396091811382359100bfc60e1aab5b2
|
[
"MIT"
] | null | null | null |
test_scripts/ns_instance/get_one.py
|
lremember/VFC-Files
|
837559db1396091811382359100bfc60e1aab5b2
|
[
"MIT"
] | null | null | null |
import requests
resp = requests.get('http://10.12.5.131:30280/api/nslcm/v1/ns/caaed655-8eee-47eb-8649-7fbef4e8fb29')
print resp.status_code, resp.json()
| 38.25
| 100
| 0.771242
| 26
| 153
| 4.5
| 0.884615
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0.052288
| 153
| 3
| 101
| 51
| 0.606897
| 0
| 0
| 0
| 0
| 0.333333
| 0.503268
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.333333
| 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
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
52f49701388b6b4f72ce4fe637bdc70d2f6aa455
| 129
|
py
|
Python
|
try1/libs/__init__.py
|
kiranscaria/structure_knowledge_distillation
|
73a266fe44bc7fc3a110d3ed07dee2374ea953c6
|
[
"MIT"
] | null | null | null |
try1/libs/__init__.py
|
kiranscaria/structure_knowledge_distillation
|
73a266fe44bc7fc3a110d3ed07dee2374ea953c6
|
[
"MIT"
] | null | null | null |
try1/libs/__init__.py
|
kiranscaria/structure_knowledge_distillation
|
73a266fe44bc7fc3a110d3ed07dee2374ea953c6
|
[
"MIT"
] | null | null | null |
from .bn import ABN
from .misc import GlobalAvgPool2d
from .residual import IdentityResidualBlock
from .dense import DenseModule
| 25.8
| 43
| 0.844961
| 16
| 129
| 6.8125
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00885
| 0.124031
| 129
| 4
| 44
| 32.25
| 0.955752
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
52f72a57c0cdea9c69cc5c0d491e67325ac421a7
| 117
|
py
|
Python
|
src/dbxdeploy/deploy/WorkingDirFactory.py
|
DataSentics/dbx-deploy
|
c019d80a2b947b4f180071e97c3981daa3a2214a
|
[
"MIT"
] | null | null | null |
src/dbxdeploy/deploy/WorkingDirFactory.py
|
DataSentics/dbx-deploy
|
c019d80a2b947b4f180071e97c3981daa3a2214a
|
[
"MIT"
] | null | null | null |
src/dbxdeploy/deploy/WorkingDirFactory.py
|
DataSentics/dbx-deploy
|
c019d80a2b947b4f180071e97c3981daa3a2214a
|
[
"MIT"
] | null | null | null |
import os
from pathlib import Path
class WorkingDirFactory:
def create(self):
return Path(os.getcwd())
| 14.625
| 32
| 0.700855
| 15
| 117
| 5.466667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 117
| 7
| 33
| 16.714286
| 0.901099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 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
| 1
| 1
| 0
|
0
| 5
|
5e151f5a4b526e74d5d8279d8292b3fb3210acb6
| 594
|
py
|
Python
|
core/Logo.py
|
LeafyIsHereZ/G_O_D
|
667a001100ec286efac268e4f0235250f1542a32
|
[
"MIT"
] | null | null | null |
core/Logo.py
|
LeafyIsHereZ/G_O_D
|
667a001100ec286efac268e4f0235250f1542a32
|
[
"MIT"
] | null | null | null |
core/Logo.py
|
LeafyIsHereZ/G_O_D
|
667a001100ec286efac268e4f0235250f1542a32
|
[
"MIT"
] | null | null | null |
def Logo():
print("""
____________________ ______________ ____________
| | | | | @
| ____________| | ______ | | _______. #
| | | | | | | | | #
| | __________ | | | | | | | #
| | | | | | | | | | | $
| | | | | | | | | | | $
| | ------| | | | | | | | | #
| |________| | | ------ | | |______| @
|__________________| |____________| |__________@
""")
| 39.6
| 56
| 0.247475
| 3
| 594
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.570707
| 594
| 14
| 57
| 42.428571
| 0.047059
| 0
| 0
| 0.153846
| 0
| 0
| 0.948276
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| true
| 0
| 0
| 0
| 0.076923
| 0.076923
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5e160674c50f046023b3a4eb35da72229245fa05
| 257
|
py
|
Python
|
novaplaylist/scrapers/__init__.py
|
gtnx/nova-playlist
|
5f6a9eb615efa3852bb8dd8625baf5d498a0f576
|
[
"WTFPL"
] | null | null | null |
novaplaylist/scrapers/__init__.py
|
gtnx/nova-playlist
|
5f6a9eb615efa3852bb8dd8625baf5d498a0f576
|
[
"WTFPL"
] | null | null | null |
novaplaylist/scrapers/__init__.py
|
gtnx/nova-playlist
|
5f6a9eb615efa3852bb8dd8625baf5d498a0f576
|
[
"WTFPL"
] | null | null | null |
# -*- coding: utf-8 -*-
from Scraper import Scraper
from FipScraper import FipScraper
from NovaScraper import NovaScraper
from OuiScraper import OuiScraper
from NostalgieScraper import NostalgieScraper
from RadioparadiseScraper import RadioparadiseScraper
| 28.555556
| 53
| 0.848249
| 27
| 257
| 8.074074
| 0.407407
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004405
| 0.116732
| 257
| 8
| 54
| 32.125
| 0.955947
| 0.081712
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5e296bd2b064fbc105b7b939b7a1d7f794117e67
| 83
|
py
|
Python
|
MicroPython/esptool-master/espressif/efuse/esp32s2/__init__.py
|
hu-tianyi/AuTrix
|
4058cfba6d2d96b6a3f6b6564c0a85c855e57fa9
|
[
"MIT"
] | 1
|
2021-11-06T23:42:36.000Z
|
2021-11-06T23:42:36.000Z
|
MicroPython/esptool-master/espressif/efuse/esp32s2/__init__.py
|
hu-tianyi/AuTrix
|
4058cfba6d2d96b6a3f6b6564c0a85c855e57fa9
|
[
"MIT"
] | null | null | null |
MicroPython/esptool-master/espressif/efuse/esp32s2/__init__.py
|
hu-tianyi/AuTrix
|
4058cfba6d2d96b6a3f6b6564c0a85c855e57fa9
|
[
"MIT"
] | null | null | null |
from .fields import EspEfuses # noqa: F401
from . import operations # noqa: F401
| 27.666667
| 43
| 0.73494
| 11
| 83
| 5.545455
| 0.636364
| 0.262295
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089552
| 0.192771
| 83
| 2
| 44
| 41.5
| 0.820896
| 0.253012
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
ead67aa7abbd443c7e2ef49fa4762ad5b95c79ee
| 538
|
py
|
Python
|
options/model_options/__init__.py
|
chorseng/UMD
|
680681fea76abcea02ff5f351727bcbb468c372a
|
[
"MIT"
] | 48
|
2019-05-12T08:42:55.000Z
|
2022-03-15T07:54:40.000Z
|
options/model_options/__init__.py
|
chorseng/UMD
|
680681fea76abcea02ff5f351727bcbb468c372a
|
[
"MIT"
] | 6
|
2019-09-14T14:46:57.000Z
|
2021-07-10T02:22:34.000Z
|
options/model_options/__init__.py
|
chorseng/UMD
|
680681fea76abcea02ff5f351727bcbb468c372a
|
[
"MIT"
] | 11
|
2019-09-12T03:46:42.000Z
|
2021-10-03T17:43:39.000Z
|
from .context_encoder_options import ContextEncoderOption
from .image_encoder_options import ImageEncoderOption, ContextImageEncoderOption, ProductImageEncoderOption
from .mfb_fusion_options import MFBFusionOption, ContextMFBFusionOption, ContextAttentionMFBFusionOption, \
ProductMFBFusionOption, ProductAttentionMFBFusionOption
from .similarity_options import SimilarityOption
from .text_decoder_options import TextDecoderOption
from .text_encoder_options import TextEncoderOption, ContextTextEncoderOption, ProductTextEncoderOption
| 76.857143
| 107
| 0.905204
| 43
| 538
| 11.069767
| 0.581395
| 0.163866
| 0.12605
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066915
| 538
| 7
| 108
| 76.857143
| 0.948207
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.857143
| 0
| 0.857143
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d821a4cc590fae800886dae3e51beb40d1ac06d0
| 6,403
|
py
|
Python
|
tests/test_boundary.py
|
denisvasilik/binalyzer-template-provider
|
a9973ade3999fefea0420dac916733365d1cd924
|
[
"MIT"
] | null | null | null |
tests/test_boundary.py
|
denisvasilik/binalyzer-template-provider
|
a9973ade3999fefea0420dac916733365d1cd924
|
[
"MIT"
] | null | null | null |
tests/test_boundary.py
|
denisvasilik/binalyzer-template-provider
|
a9973ade3999fefea0420dac916733365d1cd924
|
[
"MIT"
] | null | null | null |
"""
test_boundary
~~~~~~~~~~~~~
This module implements tests related to a template's boundary. A boundary
attribute influences the following attributes:
* Offset of current template
* Absolute address of current template
* Size of current template
* Size of parent template
NOTE: The current template is the template where the boundary is declared.
"""
import io
from binalyzer_core import Binalyzer, Template, ValueProperty
from binalyzer_template_provider import XMLTemplateParser
def test_boundary_attribute():
template = XMLTemplateParser(
"""
<template boundary="0x800"></template>
"""
).parse()
assert isinstance(template, Template)
assert isinstance(template.boundary_property, ValueProperty)
assert template.offset == 0
assert template.boundary == 0x800
assert template.size == 0
def test_boundary_attribute_nested():
template = XMLTemplateParser(
"""
<template boundary="0x200">
<template boundary="0x100">
<field size="1"></field>
</template>
</template>
"""
).parse()
assert template.absolute_address == 0
assert template.offset == 0
assert template.size == 0x200
assert template.children[0].absolute_address == 0
assert template.children[0].offset == 0
assert template.children[0].size == 0x100
def test_boundary_attribute_nested_with_inner_element_having_greater_boundary():
template = XMLTemplateParser(
"""
<template boundary="0x200">
<template boundary="0x500">
<field name="field" size="1">
</field>
</template>
</template>
"""
).parse()
assert template.absolute_address == 0
assert template.offset == 0
assert template.size == 0x600
assert template.children[0].absolute_address == 0
assert template.children[0].offset == 0
assert template.children[0].size == 0x500
def test_boundary_attribute_with_offset():
template = XMLTemplateParser(
"""
<template offset="0x20" boundary="0x100">
</template>
"""
).parse()
assert isinstance(template, Template)
assert isinstance(template.boundary_property, ValueProperty)
assert template.offset == 256
assert template.size == 0
def test_boundary_attribute_with_offset_and_child():
template = XMLTemplateParser(
"""
<template offset="0x20" boundary="0x100">
<field size="1"></field>
</template>
"""
).parse()
assert isinstance(template, Template)
assert isinstance(template.boundary_property, ValueProperty)
assert template.offset == 256
assert template.size == 256
def test_boundary_attribute_with_parent_offset_on_boundary():
template = XMLTemplateParser(
"""
<template>
<layout name="layout" offset="0x200">
<area name="area" boundary="0x200">
<field name="field" size="1"></field>
</area>
</layout>
</template>
"""
).parse()
assert template.layout.area.absolute_address == 0x200
assert template.layout.offset == 0x200
assert template.layout.area.offset == 0x0
assert template.layout.area.boundary == 0x200
assert template.layout.area.size == 0x200
def test_boundary_attribute_with_parent_offset_besides_boundary():
template = XMLTemplateParser(
"""
<template>
<layout name="layout" offset="0x300">
<area name="area" boundary="0x200">
<field name="field" size="1"></field>
</area>
</layout>
</template>"""
).parse()
assert template.layout.offset == 0x300
assert template.layout.area.offset == 0x100
assert template.layout.area.absolute_address == 0x400
assert template.layout.area.boundary == 0x200
assert template.layout.area.size == 0x200
def test_boundary_attribute_with_parent_offset_besides_boundary_and_nested():
template = XMLTemplateParser(
"""
<template>
<layout name="layout" offset="0x300">
<area name="area" boundary="0x200">
<field name="field" boundary="0x100">
<field name="nested_field" size="1"></field>
</field>
</area>
</layout>
</template>
"""
).parse()
assert template.layout.area.absolute_address == 0x400
assert template.layout.area.offset == 0x100
assert template.layout.area.size == 0x200
assert template.layout.area.field.size == 0x100
assert template.layout.area.field.offset == 0x0
def test_boundary_and_sizing_stretch():
template = XMLTemplateParser(
"""
<template boundary="0x100">
<header name="header" size="4">
</header>
<payload name="payload" sizing="stretch">
</payload>
</template>
"""
).parse()
binalyzer = Binalyzer(template)
binalyzer.data = io.BytesIO(bytes([0x01] * binalyzer.template.size))
binalyzer.template.header.value = bytes([0x02] * 4)
assert binalyzer.template.payload.size == 252
assert binalyzer.template.size == 256
assert binalyzer.template.header.size == 4
assert binalyzer.template.header.value == bytes([0x02] * 4)
assert binalyzer.template.payload.value == bytes([0x01] * 252)
def test_boundary_and_sizing_stretch_with_offset():
template = XMLTemplateParser(
"""
<template offset="0x20" boundary="0x100">
<header name="header" size="4">
</header>
<payload name="payload" sizing="stretch">
</payload>
</template>
"""
).parse()
binalyzer = Binalyzer(template)
binalyzer.template.header.value = bytes([0x02] * 4)
binalyzer.template.payload.value = bytes([0x01] * binalyzer.template.payload.size)
assert binalyzer.template.offset == 256
assert binalyzer.template.size == 256
assert binalyzer.template.header.size == 4
assert binalyzer.template.header.value == bytes([0x02] * 4)
assert binalyzer.template.payload.offset == 4
assert binalyzer.template.payload.size == 252
assert binalyzer.template.payload.value == bytes(
[0x01] * binalyzer.template.payload.size
)
| 32.015
| 86
| 0.63111
| 651
| 6,403
| 6.096774
| 0.121352
| 0.119929
| 0.075586
| 0.078609
| 0.816075
| 0.771227
| 0.738725
| 0.667423
| 0.634417
| 0.604434
| 0
| 0.048364
| 0.25082
| 6,403
| 199
| 87
| 32.175879
| 0.779029
| 0.054193
| 0
| 0.645161
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031326
| 0
| 0.55914
| 1
| 0.107527
| false
| 0
| 0.032258
| 0
| 0.139785
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
dc53e3f9dfad954addff39dc5a7d2f1309f21e08
| 22
|
py
|
Python
|
venv/lib/python3.6/site-packages/mypy/version.py
|
humphrey-mutuma/Awards
|
4d5c934d503cdcb5466e7a345c57bfd62fb3c90f
|
[
"MIT"
] | 2
|
2022-01-21T12:51:19.000Z
|
2022-01-21T12:51:30.000Z
|
venv/lib/python3.6/site-packages/mypy/version.py
|
humphrey-mutuma/Awards
|
4d5c934d503cdcb5466e7a345c57bfd62fb3c90f
|
[
"MIT"
] | 4
|
2021-03-19T03:30:10.000Z
|
2021-09-08T01:16:55.000Z
|
venv/lib/python3.6/site-packages/mypy/version.py
|
humphrey-mutuma/Awards
|
4d5c934d503cdcb5466e7a345c57bfd62fb3c90f
|
[
"MIT"
] | 2
|
2020-12-28T13:41:55.000Z
|
2021-01-21T10:07:47.000Z
|
__version__ = "0.720"
| 11
| 21
| 0.681818
| 3
| 22
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 0.136364
| 22
| 1
| 22
| 22
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
dc5ed786732e65b5efb0db8a93d4913290b8f307
| 172
|
py
|
Python
|
blogapp/admin.py
|
melodyPereira05/ShopStop
|
acb37841858e4861fab0bce09f85d4406ef6b8a4
|
[
"MIT"
] | null | null | null |
blogapp/admin.py
|
melodyPereira05/ShopStop
|
acb37841858e4861fab0bce09f85d4406ef6b8a4
|
[
"MIT"
] | null | null | null |
blogapp/admin.py
|
melodyPereira05/ShopStop
|
acb37841858e4861fab0bce09f85d4406ef6b8a4
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from .models import BlogModel, CommentModel
admin.site.register(BlogModel)
admin.site.register(CommentModel)
| 24.571429
| 43
| 0.825581
| 22
| 172
| 6.454545
| 0.545455
| 0.126761
| 0.239437
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098837
| 172
| 6
| 44
| 28.666667
| 0.916129
| 0.151163
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
dc7c74837ce3eb08e9619d0d93cf6e4abd8b8fd5
| 22
|
py
|
Python
|
Assingments/module03/week04/monday/sulfaroa.inclass.py
|
tonysulfaro/MI-250
|
e746fd261107531e100a5cb98d6b6c90bd9234d8
|
[
"MIT"
] | null | null | null |
Assingments/module03/week04/monday/sulfaroa.inclass.py
|
tonysulfaro/MI-250
|
e746fd261107531e100a5cb98d6b6c90bd9234d8
|
[
"MIT"
] | null | null | null |
Assingments/module03/week04/monday/sulfaroa.inclass.py
|
tonysulfaro/MI-250
|
e746fd261107531e100a5cb98d6b6c90bd9234d8
|
[
"MIT"
] | null | null | null |
# stuff for something
| 11
| 21
| 0.772727
| 3
| 22
| 5.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 22
| 1
| 22
| 22
| 0.944444
| 0.863636
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 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
| 5
|
dc92fa0eda88058bb9d83ab728e13719297dfbe3
| 35
|
py
|
Python
|
HMongo/__init__.py
|
dominon12/HMongo
|
aff7db62e46cc45e564a29a117824975942978e2
|
[
"CC0-1.0"
] | 1
|
2020-08-02T07:31:50.000Z
|
2020-08-02T07:31:50.000Z
|
HMongo/__init__.py
|
dominon12/HMongo
|
aff7db62e46cc45e564a29a117824975942978e2
|
[
"CC0-1.0"
] | null | null | null |
HMongo/__init__.py
|
dominon12/HMongo
|
aff7db62e46cc45e564a29a117824975942978e2
|
[
"CC0-1.0"
] | null | null | null |
from HMongo.MongoDB import MongoDB
| 17.5
| 34
| 0.857143
| 5
| 35
| 6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 35
| 1
| 35
| 35
| 0.967742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
dcbb8cb2478540133f6b1a2720ac246d6b20c32d
| 255
|
py
|
Python
|
peek/api/authentication.py
|
and3rson/notez
|
7476e098d40c7d4e20c2d79e8b45667dbbde6082
|
[
"MIT"
] | 1
|
2017-07-02T12:46:54.000Z
|
2017-07-02T12:46:54.000Z
|
peek/api/authentication.py
|
and3rson/notez
|
7476e098d40c7d4e20c2d79e8b45667dbbde6082
|
[
"MIT"
] | null | null | null |
peek/api/authentication.py
|
and3rson/notez
|
7476e098d40c7d4e20c2d79e8b45667dbbde6082
|
[
"MIT"
] | null | null | null |
from rest_framework.authentication import SessionAuthentication
class CSRFExemptSessionAuthentication(SessionAuthentication):
def enforce_csrf(self, request): # pragma: no cover
return # To not perform the CSRF check previously happening
| 36.428571
| 69
| 0.8
| 26
| 255
| 7.769231
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156863
| 255
| 6
| 70
| 42.5
| 0.939535
| 0.262745
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 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
| 1
| 1
| 0
|
0
| 5
|
76127eed5a686b9c30dc04c37376bd395ac9caaf
| 142
|
py
|
Python
|
idm_lp/database/chat_enter.py
|
lper1/dgm-.
|
aae14b2758b220f42030745bb941e7012bf77ae2
|
[
"MIT"
] | 47
|
2020-09-15T11:13:35.000Z
|
2022-03-30T06:37:52.000Z
|
idm_lp/database/chat_enter.py
|
lper1/dgm-.
|
aae14b2758b220f42030745bb941e7012bf77ae2
|
[
"MIT"
] | 2
|
2020-10-27T15:30:33.000Z
|
2020-11-14T16:50:01.000Z
|
idm_lp/database/chat_enter.py
|
lper1/dgm-.
|
aae14b2758b220f42030745bb941e7012bf77ae2
|
[
"MIT"
] | 111
|
2020-09-27T20:06:42.000Z
|
2022-03-19T20:29:29.000Z
|
from typing import Optional
from pydantic import BaseModel
class ChatEnterModel(BaseModel):
peer_id: int
hello_text: Optional[str]
| 15.777778
| 32
| 0.774648
| 18
| 142
| 6
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176056
| 142
| 8
| 33
| 17.75
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
520f2a8f274bb0fff4806a118a0c101786198a4b
| 96
|
py
|
Python
|
zisan/Seg/davisinteractive/metrics/__init__.py
|
JintuZheng/zisan
|
84b30d1ee91754d4351841a2077c78146028adfc
|
[
"MIT"
] | 40
|
2020-02-14T07:03:16.000Z
|
2022-03-07T10:52:18.000Z
|
zisan/Seg/davisinteractive/metrics/__init__.py
|
EpsilionJT/zisan
|
84b30d1ee91754d4351841a2077c78146028adfc
|
[
"MIT"
] | 1
|
2021-09-04T07:40:26.000Z
|
2021-09-04T14:51:03.000Z
|
zisan/Seg/davisinteractive/metrics/__init__.py
|
EpsilionJT/zisan
|
84b30d1ee91754d4351841a2077c78146028adfc
|
[
"MIT"
] | 9
|
2020-02-24T01:08:11.000Z
|
2021-12-15T07:35:14.000Z
|
from __future__ import absolute_import
from .jaccard import batched_f_measure, batched_jaccard
| 24
| 55
| 0.875
| 13
| 96
| 5.846154
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104167
| 96
| 3
| 56
| 32
| 0.883721
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5216901ab920cfa98a2cc8b0e1c1f3e8773d9e1b
| 178
|
py
|
Python
|
dmarc_reporting/__init__.py
|
virtualtam/django-dmarc-reporting
|
e56aac02206924cd7f73c68b06fe088c7628381d
|
[
"BSD-3-Clause"
] | 4
|
2018-01-28T23:56:32.000Z
|
2020-06-22T02:10:36.000Z
|
dmarc_reporting/__init__.py
|
virtualtam/django-dmarc-reporting
|
e56aac02206924cd7f73c68b06fe088c7628381d
|
[
"BSD-3-Clause"
] | 13
|
2018-01-22T18:02:26.000Z
|
2020-01-19T14:59:56.000Z
|
dmarc_reporting/__init__.py
|
virtualtam/django-dmarc-reporting
|
e56aac02206924cd7f73c68b06fe088c7628381d
|
[
"BSD-3-Clause"
] | 3
|
2018-02-06T00:08:51.000Z
|
2020-06-30T23:18:55.000Z
|
"""django-dmarc-reporting"""
__author__ = "VirtualTam"
__title__ = "django-dmarc-reporting"
__version__ = '0.1'
default_app_config = 'dmarc_reporting.apps.DmarcReportingConfig'
| 25.428571
| 64
| 0.780899
| 19
| 178
| 6.526316
| 0.736842
| 0.33871
| 0.322581
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012195
| 0.078652
| 178
| 6
| 65
| 29.666667
| 0.743902
| 0.123596
| 0
| 0
| 0
| 0
| 0.506667
| 0.42
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
52897c97df636b69f2b4b6cc14e11fc8e411524e
| 43
|
py
|
Python
|
demae/dest/__init__.py
|
uiureo/demae
|
818d6584164f04001bf0e75f62c526284521ce69
|
[
"MIT"
] | 6
|
2017-10-20T09:15:10.000Z
|
2019-03-18T23:07:05.000Z
|
demae/dest/__init__.py
|
uiureo/demae
|
818d6584164f04001bf0e75f62c526284521ce69
|
[
"MIT"
] | null | null | null |
demae/dest/__init__.py
|
uiureo/demae
|
818d6584164f04001bf0e75f62c526284521ce69
|
[
"MIT"
] | null | null | null |
# flake8: noqa
from .s3_dest import S3Dest
| 14.333333
| 27
| 0.767442
| 7
| 43
| 4.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.162791
| 43
| 2
| 28
| 21.5
| 0.805556
| 0.27907
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
87193401f2d42dfa3093c478300ae6407318078a
| 77
|
py
|
Python
|
knowledge_graph/crawler/text_crawler/text_crawler/spiders/xywy/__init__.py
|
Syhen/knowledge-graph
|
35b35624f78ec58b3ca9f1e6eaf4a5e5ff80edc2
|
[
"MIT"
] | 2
|
2019-07-01T02:18:33.000Z
|
2020-01-14T11:20:44.000Z
|
knowledge_graph/crawler/text_crawler/text_crawler/spiders/xywy/__init__.py
|
Syhen/knowledge-graph
|
35b35624f78ec58b3ca9f1e6eaf4a5e5ff80edc2
|
[
"MIT"
] | null | null | null |
knowledge_graph/crawler/text_crawler/text_crawler/spiders/xywy/__init__.py
|
Syhen/knowledge-graph
|
35b35624f78ec58b3ca9f1e6eaf4a5e5ff80edc2
|
[
"MIT"
] | 2
|
2020-03-19T10:22:34.000Z
|
2022-03-06T01:41:56.000Z
|
# -*- coding: utf-8 -*-
"""
Author: @heyao
Created On: 2019/6/24 下午1:57
"""
| 11
| 28
| 0.545455
| 12
| 77
| 3.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174603
| 0.181818
| 77
| 6
| 29
| 12.833333
| 0.492063
| 0.87013
| 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
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
5e50c179029bae24ea356f3371d5d98c187ea2e6
| 66
|
py
|
Python
|
setify/__init__.py
|
MinaGabriel/setify
|
81c3f09662a0f52e9ab0c0bbefb154cc92837585
|
[
"MIT"
] | null | null | null |
setify/__init__.py
|
MinaGabriel/setify
|
81c3f09662a0f52e9ab0c0bbefb154cc92837585
|
[
"MIT"
] | null | null | null |
setify/__init__.py
|
MinaGabriel/setify
|
81c3f09662a0f52e9ab0c0bbefb154cc92837585
|
[
"MIT"
] | null | null | null |
from . import datasets
from . import utils
__version__ = '0.9.3'
| 13.2
| 22
| 0.712121
| 10
| 66
| 4.3
| 0.8
| 0.465116
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0.181818
| 66
| 4
| 23
| 16.5
| 0.740741
| 0
| 0
| 0
| 0
| 0
| 0.075758
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
| 1
| 0
|
0
| 5
|
5e52e104a02667fa8d905173cc0f486738f5f4ed
| 1,333
|
py
|
Python
|
src/cluster/migrations/0006_auto_20180801_1521.py
|
mrc-rius/computational_marketing_master_thesis
|
347cf9ef64fcee36cf7068d0d214ef1c9de11cb5
|
[
"MIT"
] | null | null | null |
src/cluster/migrations/0006_auto_20180801_1521.py
|
mrc-rius/computational_marketing_master_thesis
|
347cf9ef64fcee36cf7068d0d214ef1c9de11cb5
|
[
"MIT"
] | null | null | null |
src/cluster/migrations/0006_auto_20180801_1521.py
|
mrc-rius/computational_marketing_master_thesis
|
347cf9ef64fcee36cf7068d0d214ef1c9de11cb5
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.0.5 on 2018-08-01 13:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cluster', '0005_costs'),
]
operations = [
migrations.RemoveField(
model_name='vehicle',
name='vehicle_power',
),
migrations.RemoveField(
model_name='vehicle',
name='vehicle_price',
),
migrations.AddField(
model_name='vehicle',
name='vehicle_max_power',
field=models.IntegerField(default=0),
),
migrations.AddField(
model_name='vehicle',
name='vehicle_max_price',
field=models.DecimalField(decimal_places=2, default=0, max_digits=10),
),
migrations.AddField(
model_name='vehicle',
name='vehicle_min_power',
field=models.IntegerField(default=0),
),
migrations.AddField(
model_name='vehicle',
name='vehicle_min_price',
field=models.DecimalField(decimal_places=2, default=0, max_digits=10),
),
migrations.AddField(
model_name='vehicle',
name='vehicle_power_unit',
field=models.CharField(default='KW', max_length=5),
),
]
| 28.361702
| 82
| 0.56189
| 128
| 1,333
| 5.65625
| 0.351563
| 0.212707
| 0.154696
| 0.19337
| 0.741713
| 0.741713
| 0.727901
| 0.595304
| 0.516575
| 0.516575
| 0
| 0.033296
| 0.324081
| 1,333
| 46
| 83
| 28.978261
| 0.770255
| 0.033758
| 0
| 0.625
| 1
| 0
| 0.139969
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.025
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 1
| 1
| 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
| 5
|
5e78a2ae6d02171f2eec7799c77aa12509f76972
| 548
|
py
|
Python
|
forms.py
|
ljj6218/custom_process
|
5cf93943337d653c08fad5c91c8d19361baac5be
|
[
"Apache-2.0"
] | 1
|
2021-01-17T16:53:31.000Z
|
2021-01-17T16:53:31.000Z
|
forms.py
|
ljj6218/custom_process
|
5cf93943337d653c08fad5c91c8d19361baac5be
|
[
"Apache-2.0"
] | null | null | null |
forms.py
|
ljj6218/custom_process
|
5cf93943337d653c08fad5c91c8d19361baac5be
|
[
"Apache-2.0"
] | null | null | null |
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField
from wtforms.validators import DataRequired, EqualTo
class RegisterForm(FlaskForm):
"""登录表单类"""
username = StringField('用户名', validators=[DataRequired()])
password = PasswordField('密码', validators=[DataRequired()])
password_2 = PasswordField('重复密码', validators=[DataRequired()])
class LoginForm(FlaskForm):
"""登录表单类"""
username = StringField('用户名', validators=[DataRequired()])
password = PasswordField('密码', validators=[DataRequired()])
| 34.25
| 67
| 0.731752
| 50
| 548
| 7.98
| 0.42
| 0.275689
| 0.225564
| 0.165414
| 0.516291
| 0.516291
| 0.516291
| 0.516291
| 0.516291
| 0.516291
| 0
| 0.002096
| 0.129562
| 548
| 16
| 68
| 34.25
| 0.834382
| 0.020073
| 0
| 0.4
| 0
| 0
| 0.026565
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.4
| 0.3
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 5
|
5e79c011f4593831f28ec841f3c7f56bdee12cc1
| 173
|
py
|
Python
|
chip_eight/__init__.py
|
apalmer/computer-emulation
|
2284e26ac9054c147da1145debc5bd73cc6214f1
|
[
"MIT"
] | null | null | null |
chip_eight/__init__.py
|
apalmer/computer-emulation
|
2284e26ac9054c147da1145debc5bd73cc6214f1
|
[
"MIT"
] | 5
|
2020-03-31T11:18:49.000Z
|
2021-02-14T01:46:17.000Z
|
chip_eight/__init__.py
|
apalmer/computer-emulation
|
2284e26ac9054c147da1145debc5bd73cc6214f1
|
[
"MIT"
] | null | null | null |
from .screen import Screen
from .keyboard import Keyboard
from .memory import Memory
from .cpu import Cpu
from .computer import Computer
from .runner import boot, load, run
| 24.714286
| 35
| 0.803468
| 26
| 173
| 5.346154
| 0.423077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150289
| 173
| 6
| 36
| 28.833333
| 0.945578
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5e9e5511ed23326c7e155fd0df1fbc8299a697d9
| 82
|
py
|
Python
|
__init__.py
|
nujabes0321456/Handphone-Ecm-Simulation
|
116a18591e8be8d3afe62134082ae90311f51e72
|
[
"MIT"
] | null | null | null |
__init__.py
|
nujabes0321456/Handphone-Ecm-Simulation
|
116a18591e8be8d3afe62134082ae90311f51e72
|
[
"MIT"
] | null | null | null |
__init__.py
|
nujabes0321456/Handphone-Ecm-Simulation
|
116a18591e8be8d3afe62134082ae90311f51e72
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 12 10:39:07 2020
@author: BK
"""
| 10.25
| 35
| 0.54878
| 14
| 82
| 3.214286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.203125
| 0.219512
| 82
| 7
| 36
| 11.714286
| 0.5
| 0.865854
| 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
| 1
| 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
| 5
|
5eaa284356e1ff61fc4f74152eec226019206f08
| 4,075
|
py
|
Python
|
Cnet/SummaryCallback.py
|
chriamue/Cnet
|
27f15835fe70597729973a8189c10da750846607
|
[
"MIT"
] | null | null | null |
Cnet/SummaryCallback.py
|
chriamue/Cnet
|
27f15835fe70597729973a8189c10da750846607
|
[
"MIT"
] | null | null | null |
Cnet/SummaryCallback.py
|
chriamue/Cnet
|
27f15835fe70597729973a8189c10da750846607
|
[
"MIT"
] | null | null | null |
import numpy as np
from keras.callbacks import Callback
from keras import backend as K
import tensorflow as tf
class SummaryCallback(Callback):
def __init__(self, trainer, validation=False):
super(SummaryCallback, self)
self.trainer = trainer
self.summarysteps = trainer.config['summarysteps']
self.validation = validation
self.image = tf.Variable(0., validate_shape=False)
self.mask = tf.Variable(0., validate_shape=False)
self.predicted = tf.Variable(0., validate_shape=False)
model = self.trainer.model.model
self.fetches = [tf.assign(self.image, model.inputs[0], validate_shape=False),
tf.assign(self.mask, model.targets[0], validate_shape=False),
tf.assign(self.predicted, model.outputs[0], validate_shape=False)]
model._function_kwargs = {'fetches': self.fetches}
def on_train_begin(self, logs={}):
self.losses = []
model = self.trainer.model.model
self.fetches = [tf.assign(self.image, model.inputs[0], validate_shape=False),
tf.assign(self.mask, model.targets[0], validate_shape=False),
tf.assign(self.predicted, model.outputs[0], validate_shape=False)]
model._function_kwargs = {'fetches': self.fetches}
def on_train_end(self, logs={}):
model = self.trainer.model.model
model._function_kwargs = {'fetches': []}
def on_batch_end(self, batch, logs={}):
loss = logs.get('loss')
self.losses.append(loss)
if self.validation is False:
self.trainer.global_step += 1
self.trainer.loss += loss
if batch % self.summarysteps == 0:
if self.trainer.summarywriter:
self.trainer.summarywriter.add_scalar(
self.trainer.name+'loss', loss, global_step=self.trainer.global_step)
image = K.eval(self.image)
if not type(image) is np.float32:
image = image[0]
image = np.rollaxis(image, axis=2, start=0)
mask = K.eval(self.mask)[0]
mask = np.rollaxis(mask, axis=2, start=0)[1]
predicted = K.eval(self.predicted)[0]
predicted = np.rollaxis(predicted, axis=2, start=0)[1]
self.trainer.summarywriter.add_image(
self.trainer.name+'image',image/255.0, global_step=self.trainer.global_step)
self.trainer.summarywriter.add_image(
self.trainer.name+'mask', mask.astype(np.float32), global_step=self.trainer.global_step)
self.trainer.summarywriter.add_image(
self.trainer.name+'predicted', predicted/(predicted.max()+0.0001), global_step=self.trainer.global_step)
else:
if self.trainer.summarywriter:
self.trainer.summarywriter.add_scalar(
self.trainer.name+'val_loss', loss, global_step=self.trainer.global_step)
image = K.eval(self.image)
if not type(image) is np.float32:
image = image[0]
image = np.rollaxis(image, axis=2, start=0)
mask = K.eval(self.mask)[0]
mask = np.rollaxis(mask, axis=2, start=0)[1]
predicted = K.eval(self.predicted)[0]
predicted = np.rollaxis(predicted, axis=2, start=0)[1]
self.trainer.summarywriter.add_image(
self.trainer.name+'val_image',image/255.0, global_step=self.trainer.global_step)
self.trainer.summarywriter.add_image(
self.trainer.name+'val_mask', mask, global_step=self.trainer.global_step)
self.trainer.summarywriter.add_image(
self.trainer.name+'val_predicted', predicted/(predicted.max()+0.0001), global_step=self.trainer.global_step)
| 53.618421
| 136
| 0.58135
| 471
| 4,075
| 4.915074
| 0.150743
| 0.156803
| 0.07257
| 0.108855
| 0.77149
| 0.760259
| 0.747732
| 0.719222
| 0.719222
| 0.717927
| 0
| 0.020099
| 0.304049
| 4,075
| 75
| 137
| 54.333333
| 0.796192
| 0
| 0
| 0.528571
| 0
| 0
| 0.023804
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.057143
| false
| 0
| 0.057143
| 0
| 0.128571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 5
|
5eb5286785b2a40810337bd11a4ddd440770c80f
| 88
|
py
|
Python
|
model/__init__.py
|
mfacar/controltac
|
bbf001e3d54635264d798bb6ce050eac7bebf4ee
|
[
"MIT"
] | 3
|
2019-02-21T07:53:54.000Z
|
2022-02-28T15:01:37.000Z
|
model/__init__.py
|
mfacar/controltac
|
bbf001e3d54635264d798bb6ce050eac7bebf4ee
|
[
"MIT"
] | null | null | null |
model/__init__.py
|
mfacar/controltac
|
bbf001e3d54635264d798bb6ce050eac7bebf4ee
|
[
"MIT"
] | 1
|
2019-01-09T08:32:44.000Z
|
2019-01-09T08:32:44.000Z
|
from .GloVeModel import GloVeModel
from .Word2vecGoogleModel import Word2vecGoogleModel
| 29.333333
| 52
| 0.886364
| 8
| 88
| 9.75
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.090909
| 88
| 2
| 53
| 44
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
5ed2bb1eb3e80a304b646cedffb9f266c8c9c066
| 154
|
py
|
Python
|
fltk/synthpriv/datasets/__init__.py
|
tudelft-eemcs-dml/fltk-testbed-gr-1
|
bbe01d5d82a447ad8b6d9e3f350f831922a8b8b7
|
[
"BSD-2-Clause"
] | null | null | null |
fltk/synthpriv/datasets/__init__.py
|
tudelft-eemcs-dml/fltk-testbed-gr-1
|
bbe01d5d82a447ad8b6d9e3f350f831922a8b8b7
|
[
"BSD-2-Clause"
] | null | null | null |
fltk/synthpriv/datasets/__init__.py
|
tudelft-eemcs-dml/fltk-testbed-gr-1
|
bbe01d5d82a447ad8b6d9e3f350f831922a8b8b7
|
[
"BSD-2-Clause"
] | null | null | null |
from .adult import DistAdultDataset
from .purchase import DistPurchaseDataset
from .synthetic import SyntheticDataset
from .texas import DistTexasDataset
| 30.8
| 41
| 0.87013
| 16
| 154
| 8.375
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103896
| 154
| 4
| 42
| 38.5
| 0.971014
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0d901ca4746c3045e2eb543fb259f3c3c07ab0c0
| 65
|
py
|
Python
|
__init__.py
|
brennanmcfarland/arctic-flaming-monkey-typhoon
|
ea2d73c30f6c1de4d7c6c3d7c5e0df6ebc6c54d0
|
[
"MIT"
] | null | null | null |
__init__.py
|
brennanmcfarland/arctic-flaming-monkey-typhoon
|
ea2d73c30f6c1de4d7c6c3d7c5e0df6ebc6c54d0
|
[
"MIT"
] | null | null | null |
__init__.py
|
brennanmcfarland/arctic-flaming-monkey-typhoon
|
ea2d73c30f6c1de4d7c6c3d7c5e0df6ebc6c54d0
|
[
"MIT"
] | null | null | null |
import os
import sys
sys.path.append(os.path.abspath('./arc23'))
| 16.25
| 43
| 0.738462
| 11
| 65
| 4.363636
| 0.636364
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 0.076923
| 65
| 3
| 44
| 21.666667
| 0.766667
| 0
| 0
| 0
| 0
| 0
| 0.107692
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0dad542d774c36d750573d823e021d4b1e610c88
| 64
|
py
|
Python
|
src/obfuscapk/obfuscators/new_signature/__init__.py
|
Elyorbe/Obfuscapk
|
2ba18df4b5efe44b4fab271ab5ccfe51488fa693
|
[
"MIT"
] | 688
|
2019-08-23T16:43:10.000Z
|
2022-03-29T19:35:07.000Z
|
src/obfuscapk/obfuscators/new_signature/__init__.py
|
Ktm2590/Obfuscapk
|
4072b6dea88e91b75064a84c7d3adebe005e8207
|
[
"MIT"
] | 124
|
2019-09-07T13:10:59.000Z
|
2022-03-17T16:47:29.000Z
|
src/obfuscapk/obfuscators/new_signature/__init__.py
|
Ktm2590/Obfuscapk
|
4072b6dea88e91b75064a84c7d3adebe005e8207
|
[
"MIT"
] | 204
|
2019-08-23T14:43:52.000Z
|
2022-03-30T21:04:50.000Z
|
#!/usr/bin/env python3
from .new_signature import NewSignature
| 16
| 39
| 0.796875
| 9
| 64
| 5.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.109375
| 64
| 3
| 40
| 21.333333
| 0.859649
| 0.328125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
0deb8159c570c3a7bc43b264600cb49b98ebf11a
| 211
|
py
|
Python
|
best_browsable_api/templatetags/browsable_api.py
|
alsur/best-browsable-api
|
9fb36c79bb775ab6cca89ed49b5e79f8a46ef4ef
|
[
"MIT"
] | 2
|
2020-02-24T22:49:52.000Z
|
2020-03-02T21:16:15.000Z
|
best_browsable_api/templatetags/browsable_api.py
|
alsur/best-browsable-api
|
9fb36c79bb775ab6cca89ed49b5e79f8a46ef4ef
|
[
"MIT"
] | null | null | null |
best_browsable_api/templatetags/browsable_api.py
|
alsur/best-browsable-api
|
9fb36c79bb775ab6cca89ed49b5e79f8a46ef4ef
|
[
"MIT"
] | 1
|
2021-11-25T15:21:24.000Z
|
2021-11-25T15:21:24.000Z
|
from django.template import Library
from django.utils.encoding import force_text
register = Library()
def force_text_filter(obj):
return force_text(obj)
register.filter('force_text', force_text_filter)
| 17.583333
| 48
| 0.796209
| 30
| 211
| 5.366667
| 0.466667
| 0.279503
| 0.186335
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123223
| 211
| 11
| 49
| 19.181818
| 0.87027
| 0
| 0
| 0
| 0
| 0
| 0.047393
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 5
|
218297ac435c6ff30e2a0bec7160c9044bea773e
| 19,433
|
py
|
Python
|
pythonUtils/TUI_tools/automatic_questioner.py
|
tgquintela/pythonUtils
|
6f2e5ba3be67a48d3cd5cf72dcabfae04cfa7afe
|
[
"MIT"
] | 1
|
2015-07-21T05:15:11.000Z
|
2015-07-21T05:15:11.000Z
|
pythonUtils/TUI_tools/automatic_questioner.py
|
tgquintela/pythonUtils
|
6f2e5ba3be67a48d3cd5cf72dcabfae04cfa7afe
|
[
"MIT"
] | null | null | null |
pythonUtils/TUI_tools/automatic_questioner.py
|
tgquintela/pythonUtils
|
6f2e5ba3be67a48d3cd5cf72dcabfae04cfa7afe
|
[
"MIT"
] | null | null | null |
"""
automatic_questioner
--------------------
Module which serves as a interactor between the possible database with the
described structure and which contains information about functions and
variables of other packages.
Scheme of the db
----------------
# {'function_name':
# {'variables':
# {'variable_name':
# {'question_info':
# {'qtype': ['simple_input', 'confirmation_question',
# 'selection_options', 'selection_list_options'],
# 'question_spec': 'question_spec'},
# 'default': default}},
########
# 'descendants': [{'agg_description':
# {variable_name:
# {'variable_value': 'function_name'}
# },
# 'agg_name': 'aggregated_parameter_name'}]
# }}
######## OR
# 'descendants': [{'agg_description': 'function_name'
# 'agg_name': 'aggregated_parameter_name'}]
# }}
#TODO: checker 1 function with list of functions and dicts of dicts
"""
from tui_questioner import general_questioner
def check_quest_info(db):
"""Function which carry out the automatic checking of the database of
function and variables.
Parameters
----------
db: dict
the dictionary of all the information about the system with all its
functions and dependencies between them in order to ask for their
variables authomatically.
Returns
-------
check: boolean
returns the correctness of the database.
path: list
path of the possible error.
message: str
message of the error if it exists.
"""
## 0. Initial preset variables needed
# Function to compare lists
def equality_elements_list(a, b):
a = a.keys() if type(a) == dict else a
b = b.keys() if type(b) == dict else b
c = a[-1::-1]
return a == b or c == b
# List of elements available in some dicts at some levels
first_level = ['descendants', 'variables']
desc_2_level = ['agg_description', 'agg_name']
vars_2_level = ['question_info', 'default']
vars_3_level = ['qtype', 'question_spec']
# Messages of errors
m0 = "The given database of functions is not a dictionary."
m1 = "The function '%s' does not have "+str(first_level)+" as keys."
m2 = "The variables of function '%s' is not a dict."
m3 = "Incorrect keys "+str(vars_2_level)+" in function %s and variable %s."
m4 = "Incorrect question_info format for function %s and variable %s."
m5 = "Not a string the 'qtype' of function %s and variable %s."
m6 = "Incorrect 'question_spec' format for function %s and variable %s."
m7 = "Descendants of the function %s is not a list."
m8 = "Elements of the list of descendants not a dict for function %s."
m9 = "Incorrect structure of a dict in descendants for function %s."
m10 = "Incorrect type of agg_description for function %s and variable %s."
m11 = "Incorrect type of agg_description for function %s."
## Check db is a dict
if type(db) != dict:
return False, [], m0
## Loop for check each function in db
for funct in db.keys():
## Check main keys:
first_bl = equality_elements_list(db[funct], first_level)
if not first_bl:
return False, [funct], m1 % funct
## Check variables
if not type(db[funct]['variables']) == dict:
check = False
path = [funct, 'variables']
message = m2 % funct
return check, path, message
for var in db[funct]['variables']:
varsbles = db[funct]['variables']
v2_bl = equality_elements_list(varsbles[var], vars_2_level)
v3_bl = equality_elements_list(varsbles[var]['question_info'],
vars_3_level)
qtype_bl = db[funct]['variables'][var]['question_info']['qtype']
qtype_bl = type(qtype_bl) != str
qspec_bl = db[funct]['variables'][var]['question_info']
qspec_bl = type(qspec_bl['question_spec']) != dict
if not v2_bl:
check = False
path = [funct, 'variables', var]
message = m3 % (funct, var)
return check, path, message
### Check question_info
if not v3_bl:
check = False
path = [funct, 'variables', 'question_info']
message = m4 % (funct, var)
return check, path, message
if qtype_bl:
check = False
path = [funct, 'variables', 'question_info', 'qtype']
message = m5 % (funct, var)
return check, path, message
if qspec_bl:
check = False
path = [funct, 'variables', 'question_info', 'question_spec']
message = m6 % (funct, var)
return check, path, message
## Check descendants
if not type(db[funct]['descendants']) == list:
check = False
path = [funct, 'descendants']
message = m7 % funct
return check, path, message
for var_desc in db[funct]['descendants']:
if not type(var_desc) == dict:
check = False
path = [funct, 'descendants']
message = m8 % funct
return check, path, message
d2_bl = equality_elements_list(var_desc.keys(), desc_2_level)
if not d2_bl:
check = False
path = [funct, 'descendants']
message = m9 % funct
return check, path, message
if type(var_desc['agg_description']) == str:
pass
elif type(var_desc['agg_description']) == dict:
for varname in var_desc['agg_description']:
if not type(var_desc['agg_description'][varname]) == dict:
check = False
path = [funct, 'descendants', 'agg_description']
message = m10 % (funct, varname)
return check, path, message
else:
check = False
path = [funct, 'descendants', 'agg_description']
message = m11 % funct
return check, path, message
return True, [], ''
def automatic_questioner(function_name, db, choosen={}):
"""Function which carry out the automatic questioning task.
Parameters
----------
function_name: str
the function for which we are interested in their params in order to
call it.
db: dict
the dictionary of all the information about the system with all its
functions and dependencies between them in order to ask for their
variables authomatically.
choosen: dict
previous choosen parameters. The function will avoid to ask for the
pre-set parameters.
Returns
-------
choosen_values: dict
the selected values which are disposed to input in the function we want
to call.
"""
## Initialize variables needed
m1 = "Not value for a variables in order to create aggregate variables."
choosen_values = choosen
if function_name in db.keys():
data_f = db[function_name]
else:
# Better raise error?
return choosen_values
# Put the variables
for var in data_f['variables'].keys():
# Put the variables if there are still not selected
if var not in choosen_values.keys():
question = data_f['variables'][var]['question_info']
choosen_values[var] = general_questioner(**question)
# Put aggregated variables (descendants)
for var_desc in data_f['descendants']:
# Possible variables and aggregated parameter name
agg_description = var_desc['agg_description']
agg_param = var_desc['agg_name']
# prepare possible input for existant aggregated value in choosen
ifaggvar = agg_param in choosen_values
aggvarval = choosen_values[agg_param] if ifaggvar else {}
## Without dependant variable
if type(agg_description) == str:
# Obtain function name
fn = choosen_values[agg_param]
# Recurrent call
aux = automatic_questioner(fn, db, aggvarval)
# Aggregate to our values
choosen_values[agg_param] = aux
## With dependant variable
elif type(agg_description) == dict:
for var in var_desc['agg_description']:
if not var in choosen_values:
raise Exception(m1)
## Give a list and return a dict in the aggparam variable
elif type(choosen_values[var]) == str:
# Obtain function name
fn = var_desc['agg_description'][var][choosen_values[var]]
# Recurrent call
aux = automatic_questioner(fn, db, aggvarval)
# Aggregate to our values
choosen_values[agg_param] = aux
## Give a list and return a list in the aggparam variable
elif type(choosen_values[var]) == list:
choosen_values[agg_param] = []
aggvarval = [] if type(aggvarval) != list else aggvarval
for i in range(len(choosen_values[var])):
val = choosen_values[var][i]
fn = var_desc['agg_description'][var][val]
aux = automatic_questioner(fn, db, aggvarval[i])
choosen_values.append(aux)
return choosen_values
def get_default(function_name, db, choosen={}):
"""Function which returns a dictionary of choosen values by default.
Parameters
----------
function_name: str
the function for which we are interested in their params in order to
call it.
db: dict
the dictionary of all the information about the system with all its
functions and dependencies between them in order to ask for their
variables authomatically.
choosen: dict
previous choosen parameters. The function will avoid to ask for the
pre-set parameters.
Returns
-------
choosen_values: dict
the selected values which are disposed to input in the function we want
to call.
-----
TODO: Possibility of being integrated with authomatic_questioner after
testing.
"""
## Initialize variables needed
m1 = "Not value for a variables in order to create aggregate variables."
choosen_values = choosen
if function_name in db.keys():
data_f = db[function_name]
else:
# Better raise error?
return choosen_values
# Get the variables
for var in data_f['variables'].keys():
# Put the variables if there are still not selected
if var not in choosen_values.keys():
default = data_f['variables'][var]['default']
choosen_values[var] = default
# Get aggregated variables (descendants)
for var_desc in data_f['descendants']:
# Possible variables and aggregated parameter name
agg_description = var_desc['agg_description']
agg_param = var_desc['agg_name']
# prepare possible input for existant aggregated value in choosen
ifaggvar = agg_param in choosen_values
aggvarval = choosen_values[agg_param] if ifaggvar else {}
## Without dependant variable
if type(agg_description) == str:
# Obtain function name
fn = choosen_values[agg_param]
# Recurrent call
aux = get_default(fn, db, aggvarval)
# Aggregate to our values
choosen_values[agg_param] = aux
## With dependant variable
elif type(agg_description) == dict:
for var in var_desc['agg_description']:
if not var in choosen_values:
raise Exception(m1)
## Give a list and return a dict in the aggparam variable
elif type(choosen_values[var]) == str:
# Obtain function name
fn = var_desc['agg_description'][var][choosen_values[var]]
# Recurrent call
aux = get_default(fn, db, aggvarval)
# Aggregate to our values
choosen_values[agg_param] = aux
## Give a list and return a list in the aggparam variable
elif type(choosen_values[var]) == list:
choosen_values[agg_param] = []
aggvarval = [] if type(aggvarval) != list else aggvarval
for i in range(len(choosen_values[var])):
val = choosen_values[var][i]
fn = var_desc['agg_description'][var][val]
aux = get_default(fn, db, aggvarval[i])
choosen_values.append(aux)
return choosen_values
###############################################################################
###############################################################################
###############################################################################
def get_default3(function_name, db, choosen={}):
"""Function which returns a dictionary of choosen values by default.
Parameters
----------
function_name: str
the function for which we are interested in their params in order to
call it.
db: dict
the dictionary of all the information about the system with all its
functions and dependencies between them in order to ask for their
variables authomatically.
choosen: dict
previous choosen parameters. The function will avoid to ask for the
pre-set parameters.
Returns
-------
choosen_values: dict
the selected values which are disposed to input in the function we want
to call.
-----
TODO: Possibility of being integrated with authomatic_questioner after
testing.
"""
choosen_values = choosen
if function_name in db.keys():
data_f = db[function_name]
else:
# Better raise error?
return choosen_values
# Get the variables
for var in data_f['variables'].keys():
# Put the variables if there are still not selected
if var not in choosen_values.keys():
default = data_f['variables'][var]['default']
choosen_values[var] = default
# Get the aggregated variables (descendants)
for i in range(len(data_f['descendants'])):
# Possible variables and aggregated parameter name
vars_values = data_f['descendants'][i]['variable_values']
agg_param = data_f['descendants'][i]['parameters']
variables = vars_values.keys()
# prepare possible input for existant aggregated value in choosen
ifaggvar = agg_param in choosen_values
aggvarval = choosen_values[agg_param] if ifaggvar else {}
for var in variables:
# boolean variables
value = choosen_values[var]
iflist = type(value) == list
ifvars = var in choosen_values.keys()
# if we have to return a list
if ifvars and iflist:
# Initialization values
n = len(value)
aggvarval = aggvarval if ifaggvar else [{} for i in range(n)]
results = []
i = 0
for val in value:
# Obtain function_name
f_name = vars_values[var][value]
# Recurrent call
aux = get_default(f_name, db, aggvarval[i])
# Insert in the correspondent list
results.append(aux)
i += 1
# if we have to return a dict
elif ifvars and not iflist:
# Obtain function_name
f_name = vars_values[var][value]
# Recurrent call
choosen_values[agg_param] = get_default(f_name, db, aggvarval)
return choosen_values
def automatic_questioner3(function_name, db, choosen={}):
"""Function which carry out the automatic questioning task.
Parameters
----------
function_name: str
the function for which we are interested in their params in order to
call it.
db: dict
the dictionary of all the information about the system with all its
functions and dependencies between them in order to ask for their
variables authomatically.
choosen: dict
previous choosen parameters. The function will avoid to ask for the
pre-set parameters.
Returns
-------
choosen_values: dict
the selected values which are disposed to input in the function we want
to call.
"""
## Initialize variables needed
m1 = "Not value for a variables in order to create aggregate variables."
choosen_values = choosen
if function_name in db.keys():
data_f = db[function_name]
else:
# Better raise error?
return choosen_values
# Put the variables
for var in data_f['variables'].keys():
# Put the variables if there are still not selected
if var not in choosen_values.keys():
question = data_f['variables'][var]['question_info']
choosen_values[var] = general_questioner(**question)
# Put aggregated variables (descendants)
for i in range(len(data_f['descendants'])):
# Possible variables and aggregated parameter name
vars_values = data_f['descendants'][i]['variable_values']
agg_param = data_f['descendants'][i]['parameters']
variables = vars_values.keys()
# prepare possible input for existant aggregated value in choosen
ifaggvar = agg_param in choosen_values
aggvarval = choosen_values[agg_param] if ifaggvar else {}
for var in variables:
# boolean variables
value = choosen_values[var]
iflist = type(value) == list
ifvars = var in choosen_values.keys()
# if we have to return a list
if ifvars and iflist:
# Initialization values
n = len(value)
aggvarval = aggvarval if ifaggvar else [{} for i in range(n)]
results = []
i = 0
for val in value:
# Obtain function_name
f_name = vars_values[var][value]
# Recurrent call
aux = authomatic_questioner(f_name, db, aggvarval[i])
# Insert in the correspondent list
results.append(aux)
i += 1
# if we have to return a dict
elif ifvars and not iflist:
# Obtain function_name
f_name = vars_values[var][value]
# Recurrent call
choosen_values[agg_param] = authomatic_questioner(f_name, db,
aggvarval)
return choosen_values
| 38.178782
| 79
| 0.571039
| 2,204
| 19,433
| 4.904265
| 0.096642
| 0.074567
| 0.023684
| 0.0272
| 0.809696
| 0.780831
| 0.748543
| 0.701545
| 0.672865
| 0.672865
| 0
| 0.004333
| 0.334997
| 19,433
| 508
| 80
| 38.253937
| 0.832082
| 0.329388
| 0
| 0.665272
| 0
| 0
| 0.137333
| 0
| 0
| 0
| 0
| 0.005906
| 0
| 1
| 0.025105
| false
| 0.004184
| 0.004184
| 0
| 0.121339
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 5
|
21b3fec0173c302b2a96d37e59342441bc978f8f
| 771
|
py
|
Python
|
dezero/__init__.py
|
teijeong/deeplearning-from-scratch
|
d2d237cc592c4454e4a3cc08987b64fb5823fe9e
|
[
"MIT"
] | null | null | null |
dezero/__init__.py
|
teijeong/deeplearning-from-scratch
|
d2d237cc592c4454e4a3cc08987b64fb5823fe9e
|
[
"MIT"
] | null | null | null |
dezero/__init__.py
|
teijeong/deeplearning-from-scratch
|
d2d237cc592c4454e4a3cc08987b64fb5823fe9e
|
[
"MIT"
] | null | null | null |
_IS_SIMPLE_CORE = False
if _IS_SIMPLE_CORE:
from dezero.core_simple import Variable
from dezero.core_simple import Function
from dezero.core_simple import using_config
from dezero.core_simple import no_grad
from dezero.core_simple import as_array
from dezero.core_simple import as_variable
from dezero.core_simple import setup_variable
else:
from dezero.core import Variable
from dezero.core import Parameter
from dezero.core import Function
from dezero.core import using_config
from dezero.core import no_grad
from dezero.core import as_array
from dezero.core import as_variable
from dezero.core import setup_variable
from dezero.layers import Layer
from dezero.models import Model
setup_variable()
| 30.84
| 49
| 0.782101
| 113
| 771
| 5.123894
| 0.20354
| 0.29361
| 0.362694
| 0.276339
| 0.715026
| 0.493955
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189364
| 771
| 24
| 50
| 32.125
| 0.9264
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.809524
| 0
| 0.809524
| 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
| 1
| 0
| 1
| 0
|
0
| 5
|
21b4deffa81da9293406de8d5540a10588bef5e1
| 258
|
py
|
Python
|
src/python/WMCore/WMBS/Oracle/Jobs/GetCouchID.py
|
hufnagel/WMCore
|
b150cc725b68fc1cf8e6e0fa07c826226a4421fa
|
[
"Apache-2.0"
] | 21
|
2015-11-19T16:18:45.000Z
|
2021-12-02T18:20:39.000Z
|
src/python/WMCore/WMBS/Oracle/Jobs/GetCouchID.py
|
hufnagel/WMCore
|
b150cc725b68fc1cf8e6e0fa07c826226a4421fa
|
[
"Apache-2.0"
] | 5,671
|
2015-01-06T14:38:52.000Z
|
2022-03-31T22:11:14.000Z
|
src/python/WMCore/WMBS/Oracle/Jobs/GetCouchID.py
|
hufnagel/WMCore
|
b150cc725b68fc1cf8e6e0fa07c826226a4421fa
|
[
"Apache-2.0"
] | 67
|
2015-01-21T15:55:38.000Z
|
2022-02-03T19:53:13.000Z
|
#!/usr/bin/env python
"""
_GetCouchID_
Oracle implementation of Jobs.GetCouchID
"""
from WMCore.WMBS.MySQL.Jobs.GetCouchID import GetCouchID as MySQLGetCouchID
class GetCouchID(MySQLGetCouchID):
"""
Identical to MySQL version.
"""
pass
| 14.333333
| 75
| 0.72093
| 28
| 258
| 6.571429
| 0.75
| 0.152174
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178295
| 258
| 17
| 76
| 15.176471
| 0.867925
| 0.399225
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 5
|
21d71d966f589f9f39f36110b83d6464db28ade3
| 182
|
py
|
Python
|
reqcli/source/__init__.py
|
shiftinv/reqcli
|
3b8fe42bcddf7676bb7d9a70f6bd2a430ae7beb1
|
[
"Apache-2.0"
] | null | null | null |
reqcli/source/__init__.py
|
shiftinv/reqcli
|
3b8fe42bcddf7676bb7d9a70f6bd2a430ae7beb1
|
[
"Apache-2.0"
] | null | null | null |
reqcli/source/__init__.py
|
shiftinv/reqcli
|
3b8fe42bcddf7676bb7d9a70f6bd2a430ae7beb1
|
[
"Apache-2.0"
] | null | null | null |
from .basesource import BaseSource
from .config import SourceConfig
from .reqdata import CertType, ReqData
from .status import StatusCheckMode
from .unloadable import UnloadableType
| 30.333333
| 38
| 0.851648
| 21
| 182
| 7.380952
| 0.52381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 182
| 5
| 39
| 36.4
| 0.962733
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
21dd08026ab840016da3af8afc3b8b473ff0ea0e
| 129
|
py
|
Python
|
ros_ws/src/baxter_interface/src/baxter_interface/settings.py
|
mesneym/Baxter-Arm-PP
|
fdbf86309bc64c31af105daa026b2f8519710129
|
[
"MIT"
] | null | null | null |
ros_ws/src/baxter_interface/src/baxter_interface/settings.py
|
mesneym/Baxter-Arm-PP
|
fdbf86309bc64c31af105daa026b2f8519710129
|
[
"MIT"
] | null | null | null |
ros_ws/src/baxter_interface/src/baxter_interface/settings.py
|
mesneym/Baxter-Arm-PP
|
fdbf86309bc64c31af105daa026b2f8519710129
|
[
"MIT"
] | null | null | null |
version https://git-lfs.github.com/spec/v1
oid sha256:ecf7c6e4073ed731198a562b6cb7ecaae49c80b9594f3e2dfeef108ea4868bc0
size 2045
| 32.25
| 75
| 0.883721
| 13
| 129
| 8.769231
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.349594
| 0.046512
| 129
| 3
| 76
| 43
| 0.577236
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 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 | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
21e54a9c5e36676e70191dac141c984ff5ba76eb
| 20
|
py
|
Python
|
checkov/version.py
|
meghaddn/checkov
|
422966b2d66451679bce280d9faed73edd46d927
|
[
"Apache-2.0"
] | null | null | null |
checkov/version.py
|
meghaddn/checkov
|
422966b2d66451679bce280d9faed73edd46d927
|
[
"Apache-2.0"
] | null | null | null |
checkov/version.py
|
meghaddn/checkov
|
422966b2d66451679bce280d9faed73edd46d927
|
[
"Apache-2.0"
] | null | null | null |
version = '2.0.396'
| 10
| 19
| 0.6
| 4
| 20
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.294118
| 0.15
| 20
| 1
| 20
| 20
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0.35
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
21e954d80f556d58c4a495c29d1ec66744407e90
| 489
|
py
|
Python
|
wyze_sdk/service/__init__.py
|
RebelTat/wyze-sdk
|
249b1df71e80c97fc2e5fb5977431b887f7361c2
|
[
"Unlicense"
] | 132
|
2021-05-03T12:33:58.000Z
|
2022-03-31T18:03:26.000Z
|
wyze_sdk/service/__init__.py
|
RebelTat/wyze-sdk
|
249b1df71e80c97fc2e5fb5977431b887f7361c2
|
[
"Unlicense"
] | 51
|
2021-05-01T20:24:20.000Z
|
2022-03-30T20:37:05.000Z
|
wyze_sdk/service/__init__.py
|
RebelTat/wyze-sdk
|
249b1df71e80c97fc2e5fb5977431b887f7361c2
|
[
"Unlicense"
] | 21
|
2021-05-05T14:01:38.000Z
|
2022-03-29T02:58:39.000Z
|
from .api_service import ApiServiceClient # noqa
from .auth_service import AuthServiceClient # noqa
from .earth_service import EarthServiceClient # noqa
from .ford_service import FordServiceClient # noqa
from .general_api_service import GeneralApiServiceClient # noqa
from .platform_service import PlatformServiceClient # noqa
from .scale_service import ScaleServiceClient # noqa
from .venus_service import VenusServiceClient # noqa
from .wyze_response import WyzeResponse # noqa
| 48.9
| 64
| 0.834356
| 55
| 489
| 7.236364
| 0.418182
| 0.261307
| 0.080402
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128834
| 489
| 9
| 65
| 54.333333
| 0.934272
| 0.08998
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
21f685d227aa850fc5ba0f71dfff090c50ea3edd
| 360
|
py
|
Python
|
Mundo 01/daniellindo.py
|
lucsap/Python3
|
0696a87dbcd90bd79892de8fef68d532d127ee5c
|
[
"MIT"
] | null | null | null |
Mundo 01/daniellindo.py
|
lucsap/Python3
|
0696a87dbcd90bd79892de8fef68d532d127ee5c
|
[
"MIT"
] | null | null | null |
Mundo 01/daniellindo.py
|
lucsap/Python3
|
0696a87dbcd90bd79892de8fef68d532d127ee5c
|
[
"MIT"
] | null | null | null |
a, b, c = input().split(' ')
def age (dias):
dias = dias
anos = dias // 360
meses = (((dias / 360) - (dias // 360) * 360) // 30
dyas = ((((dias / 360) - (dias // 360) * 360) / 30) - (((dias / 360) - (dias // 360) * 360) // 30)) *30
print(f'{anos} ano(s), {meses} mes(es) e {dyas} dia(s)')
age_a = age(a)
age_b = age(b)
age_c = age(c)
| 21.176471
| 107
| 0.472222
| 58
| 360
| 2.87931
| 0.362069
| 0.293413
| 0.197605
| 0.251497
| 0.341317
| 0.341317
| 0
| 0
| 0
| 0
| 0
| 0.145038
| 0.272222
| 360
| 16
| 108
| 22.5
| 0.492366
| 0
| 0
| 0
| 0
| 0.1
| 0.132022
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.1
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
df2b345968cc879b1739ee100161c2999e24f063
| 155
|
py
|
Python
|
xssor/tcp.py
|
boundmania/xssor2
|
181aac7e62a77092dd23692a486456af0985a735
|
[
"BSD-2-Clause"
] | 2,126
|
2017-06-25T07:03:18.000Z
|
2022-03-30T16:36:30.000Z
|
xssor/tcp.py
|
boundmania/xssor2
|
181aac7e62a77092dd23692a486456af0985a735
|
[
"BSD-2-Clause"
] | 4
|
2017-06-29T06:54:30.000Z
|
2021-06-08T11:43:03.000Z
|
xssor/tcp.py
|
boundmania/xssor2
|
181aac7e62a77092dd23692a486456af0985a735
|
[
"BSD-2-Clause"
] | 466
|
2017-06-25T09:37:46.000Z
|
2022-03-28T15:44:11.000Z
|
sys_name = "XSS'OR"
sys_copyright = "@evilcos.me"
def sys(req):
return {
'sys_name': sys_name,
'sys_copyright': sys_copyright,
}
| 15.5
| 39
| 0.593548
| 20
| 155
| 4.3
| 0.5
| 0.244186
| 0.232558
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.264516
| 155
| 9
| 40
| 17.222222
| 0.754386
| 0
| 0
| 0
| 0
| 0
| 0.246753
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0
| 0.142857
| 0.285714
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 5
|
df3700638507969c0de353b31cc106ba8da8502d
| 13,278
|
py
|
Python
|
landsat_cloudScore.py
|
sig-gis/Ecuador_SEPAL
|
edc7899c20cf724591385994722ee8c3d27fd9f3
|
[
"MIT"
] | 13
|
2018-09-11T05:42:45.000Z
|
2021-12-01T07:12:56.000Z
|
landsat_cloudScore.py
|
g-adzan/Ecuador_SEPAL
|
edc7899c20cf724591385994722ee8c3d27fd9f3
|
[
"MIT"
] | 1
|
2020-06-15T07:24:59.000Z
|
2020-06-26T18:39:25.000Z
|
landsat_cloudScore.py
|
g-adzan/Ecuador_SEPAL
|
edc7899c20cf724591385994722ee8c3d27fd9f3
|
[
"MIT"
] | 6
|
2018-12-18T23:20:45.000Z
|
2021-12-01T07:13:07.000Z
|
# Sentinel-2 package
from paramsTemplate import *
import ee
from Py6S import *
import math
import datetime
import os, sys
from utils import *
import sun_angles
import view_angles
import time
class env(object):
def __init__(self):
"""Initialize the environment."""
# Initialize the Earth Engine object, using the authentication credentials.
ee.Initialize()
self.epsg = "EPSG:32717"
##########################################
# variable for the landsat data request #
##########################################
self.metadataCloudCoverMax = 100;
##########################################
# Export variables #
##########################################
self.assetId ="projects/Sacha/PreprocessedData/L8_Annual_CloudScore/"
self.name = "LS_CS_"
self.exportScale = 20
self.cloudScoreThresh = 1;
##########################################
# variable band selection #
##########################################
self.percentiles = [25,75]
self.divideBands = ee.List(['blue','green','red','nir','swir1','swir2'])
self.bandNamesLandsat = ee.List(['blue','green','red','nir','swir1','thermal','swir2','sr_atmos_opacity','pixel_qa','radsat_qa'])
self.sensorBandDictLandsatSR = ee.Dictionary({'L8' : ee.List([1,2,3,4,5,7,6,9,10,11]),\
'L7' : ee.List([0,1,2,3,4,5,6,7,9,10]),\
'L5' : ee.List([0,1,2,3,4,5,6,7,9,10]),\
'L4' : ee.List([0,1,2,3,4,5,6,7,9,10])})
##########################################
# enable / disable modules #
##########################################
self.cloudMask = True
class functions():
def __init__(self):
"""Initialize the Surfrace Reflectance app."""
# get the environment
self.env = env()
def main(self,studyArea,startDate,endDate,startDay,endDay,week,regionName):
self.env.startDate = startDate
self.env.endDate = endDate
self.env.startDoy = startDay
self.env.endDoy = endDay
self.env.regionName = regionName
self.studyArea = studyArea
landsat8 = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').filterDate(self.env.startDate,self.env.endDate).filterBounds(studyArea)
landsat8 = landsat8.filterMetadata('CLOUD_COVER','less_than',self.env.metadataCloudCoverMax)
landsat8 = landsat8.select(self.env.sensorBandDictLandsatSR.get('L8'),self.env.bandNamesLandsat)
landsat5 = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR').filterDate(self.env.startDate,self.env.endDate).filterBounds(studyArea)
landsat5 = landsat5.filterMetadata('CLOUD_COVER','less_than',self.env.metadataCloudCoverMax)
landsat5 = landsat5.select(self.env.sensorBandDictLandsatSR.get('L5'),self.env.bandNamesLandsat).map(self.defringe)
landsat7 = ee.ImageCollection('LANDSAT/LE07/C01/T1_SR').filterDate(self.env.startDate,self.env.endDate).filterBounds(studyArea)
landsat7 = landsat7.filterMetadata('CLOUD_COVER','less_than',self.env.metadataCloudCoverMax)
landsat7 = landsat7.select(self.env.sensorBandDictLandsatSR.get('L7'),self.env.bandNamesLandsat)
landsat = landsat5.merge(landsat7).merge(landsat8)
if landsat.size().getInfo() > 0:
landsat = landsat.map(self.scaleLandsat)
# mask clouds using cloud mask function
if self.env.cloudMask == True:
#print "removing some more clouds"
landsat = landsat.map(self.maskClouds)
landsat = landsat.select(['cloudScore','pixel_qa'])
landsat = self.percentile(landsat,self.env.percentiles)
landsat = landsat.set('system:time_start',ee.Date(self.env.startDate).millis())
self.exportMap(landsat,studyArea,week)
print(landsat.getInfo())
return landsat
def scaleLandsat(self,img):
"""Landast is scaled by factor 0.0001 """
thermal = img.select(ee.List(['thermal'])).multiply(0.1)
scaled = ee.Image(img).select(self.env.divideBands).multiply(ee.Number(0.0001))
return img.select(['pixel_qa']).addBands(scaled).addBands(thermal)
def maskClouds(self,img):
"""
Computes spectral indices of cloudyness and take the minimum of them.
Each spectral index is fairly lenient because the group minimum
is a somewhat stringent comparison policy. side note -> this seems like a job for machine learning :)
originally written by Matt Hancher for Landsat imageryadapted to Sentinel by Chris Hewig and Ian Housman
"""
score = ee.Image(1.0);
# Clouds are reasonably bright in the blue band.
blue_rescale = img.select('blue').subtract(ee.Number(0.1)).divide(ee.Number(0.3).subtract(ee.Number(0.1)))
score = score.min(blue_rescale);
# Clouds are reasonably bright in all visible bands.
visible = img.select('red').add(img.select('green')).add(img.select('blue'))
visible_rescale = visible.subtract(ee.Number(0.2)).divide(ee.Number(0.8).subtract(ee.Number(0.2)))
score = score.min(visible_rescale);
# Clouds are reasonably bright in all infrared bands.
infrared = img.select('nir').add(img.select('swir1')).add(img.select('swir2'))
infrared_rescale = infrared.subtract(ee.Number(0.3)).divide(ee.Number(0.8).subtract(ee.Number(0.3)))
score = score.min(infrared_rescale);
# Clouds are reasonably cool in temperature.
temp_rescale = img.select('thermal').subtract(ee.Number(300)).divide(ee.Number(290).subtract(ee.Number(300)))
score = score.min(temp_rescale);
# However, clouds are not snow.
ndsi = img.normalizedDifference(['green', 'swir1']);
ndsi_rescale = ndsi.subtract(ee.Number(0.8)).divide(ee.Number(0.6).subtract(ee.Number(0.8)))
score = score.min(ndsi_rescale).multiply(100).byte().rename(['cloudScore']);
mask = score.lt(self.env.cloudScoreThresh).rename(['cloudMask']);
img = img.updateMask(mask).addBands([mask]).addBands([score]);
return img;
def defringe(self,img):
# threshold for defringing landsat5 and 7
fringeCountThreshold = 279
k = ee.Kernel.fixed(41, 41,
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]);
m = ee.Image(img).mask().reduce(ee.Reducer.min())
sum = m.reduceNeighborhood(ee.Reducer.sum(), k, 'kernel')
mask = sum.gte(fringeCountThreshold)
return img.updateMask(mask)
def percentile(self,collection,p):
median = ee.ImageCollection(collection).reduce(ee.Reducer.median()).rename(['cloudScore','pixel_qa']);
percentiles = collection.reduce(ee.Reducer.percentile(p))
return median.addBands(percentiles)
def exportMap(self,img,studyArea,week):
geom = studyArea.getInfo();
sd = str(self.env.startDate.getRelative('day','year').getInfo()).zfill(3);
ed = str(self.env.endDate.getRelative('day','year').getInfo()).zfill(3);
year = str(self.env.startDate.get('year').getInfo());
regionName = self.env.regionName.replace(" ",'_') + "_"
task_ordered= ee.batch.Export.image.toAsset(image=img,
description = self.env.name + regionName + str(week).zfill(3) +'_'+ year + sd + ed,
assetId= self.env.assetId + self.env.name + regionName + str(week).zfill(3)+'_'+ year + sd + ed,
region=geom['coordinates'],
maxPixels=1e13,
crs=self.env.epsg,
scale=self.env.exportScale)
task_ordered.start()
print(self.env.assetId + self.env.name + regionName + str(week).zfill(3)+'_'+ year + sd + ed)
if __name__ == "__main__":
ee.Initialize()
start = 0
for i in range(0,2,1):
#2018 starts at week 104
runNumber = start+ i
print runNumber
year = ee.Date("2009-01-01")
startDay = 0
endDay = 364
startDate = year.advance(startDay,'day').advance(i,'year')
endDate = year.advance(endDay,'day').advance(i,'year')
regionName = 'ECUADOR'
studyArea = ee.FeatureCollection("projects/Sacha/AncillaryData/StudyRegions/Ecuador_EcoRegions_Complete")
studyArea = studyArea.geometry().bounds()
functions().main(studyArea,startDate,endDate,startDay,endDay,runNumber,regionName)
| 49.177778
| 134
| 0.517322
| 2,662
| 13,278
| 2.558603
| 0.107062
| 0.40229
| 0.589341
| 0.766995
| 0.427103
| 0.370577
| 0.361474
| 0.342975
| 0.316547
| 0.306857
| 0
| 0.1863
| 0.239193
| 13,278
| 269
| 135
| 49.360595
| 0.487923
| 0.046694
| 0
| 0.26087
| 0
| 0
| 0.049171
| 0.015911
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.062112
| null | null | 0.018634
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
df3cb858c8f979e6360bd656b571ea5ead0faa45
| 165
|
py
|
Python
|
twitter/tweets/admin.py
|
vBubbaa/django-twitter
|
925405dd05cbef3b325b2168663e183b927d8586
|
[
"MIT"
] | 1
|
2020-02-08T02:16:05.000Z
|
2020-02-08T02:16:05.000Z
|
twitter/tweets/admin.py
|
vBubbaa/django-twitter
|
925405dd05cbef3b325b2168663e183b927d8586
|
[
"MIT"
] | 5
|
2020-02-13T22:36:04.000Z
|
2021-09-22T18:36:50.000Z
|
twitter/tweets/admin.py
|
vBubbaa/django-twitter
|
925405dd05cbef3b325b2168663e183b927d8586
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from tweets.models import Tweet, Comment, Likes
admin.site.register(Tweet)
admin.site.register(Comment)
admin.site.register(Likes)
| 23.571429
| 47
| 0.818182
| 24
| 165
| 5.625
| 0.5
| 0.2
| 0.377778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084848
| 165
| 6
| 48
| 27.5
| 0.89404
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
df452d057297999c5291d56048a22f67ca0d30d3
| 10,809
|
py
|
Python
|
tests/api/v3_1_0/test_identity_groups.py
|
CiscoISE/ciscoisesdk
|
860b0fc7cc15d0c2a39c64608195a7ab3d5f4885
|
[
"MIT"
] | 36
|
2021-05-18T16:24:19.000Z
|
2022-03-05T13:44:41.000Z
|
tests/api/v3_1_0/test_identity_groups.py
|
CiscoISE/ciscoisesdk
|
860b0fc7cc15d0c2a39c64608195a7ab3d5f4885
|
[
"MIT"
] | 15
|
2021-06-08T19:03:37.000Z
|
2022-02-25T14:47:33.000Z
|
tests/api/v3_1_0/test_identity_groups.py
|
CiscoISE/ciscoisesdk
|
860b0fc7cc15d0c2a39c64608195a7ab3d5f4885
|
[
"MIT"
] | 6
|
2021-06-10T09:32:01.000Z
|
2022-01-12T08:34:39.000Z
|
# -*- coding: utf-8 -*-
"""IdentityServicesEngineAPI identity_groups API fixtures and tests.
Copyright (c) 2021 Cisco and/or its affiliates.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import pytest
from fastjsonschema.exceptions import JsonSchemaException
from ciscoisesdk.exceptions import MalformedRequest
from ciscoisesdk.exceptions import ciscoisesdkException
from tests.environment import IDENTITY_SERVICES_ENGINE_VERSION
pytestmark = pytest.mark.skipif(IDENTITY_SERVICES_ENGINE_VERSION != '3.1.0', reason='version does not match')
def is_valid_get_identity_group_by_name(json_schema_validate, obj):
if not obj:
return False
assert hasattr(obj, 'headers')
assert hasattr(obj, 'content')
assert hasattr(obj, 'text')
assert hasattr(obj, 'response')
json_schema_validate('jsd_1f18bdd1938755409bf6db6b29e85d3a_v3_1_0').validate(obj.response)
return True
def get_identity_group_by_name(api):
endpoint_result = api.identity_groups.get_identity_group_by_name(
name='string'
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_identity_group_by_name(api, validator):
try:
assert is_valid_get_identity_group_by_name(
validator,
get_identity_group_by_name(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print("ERROR: {error}".format(error=original_e))
raise original_e
def get_identity_group_by_name_default(api):
endpoint_result = api.identity_groups.get_identity_group_by_name(
name='string'
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_identity_group_by_name_default(api, validator):
try:
assert is_valid_get_identity_group_by_name(
validator,
get_identity_group_by_name_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_identity_group_by_id(json_schema_validate, obj):
if not obj:
return False
assert hasattr(obj, 'headers')
assert hasattr(obj, 'content')
assert hasattr(obj, 'text')
assert hasattr(obj, 'response')
json_schema_validate('jsd_ca3df31c13b857e6b5dbc8357a8ab010_v3_1_0').validate(obj.response)
return True
def get_identity_group_by_id(api):
endpoint_result = api.identity_groups.get_identity_group_by_id(
id='string'
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_identity_group_by_id(api, validator):
try:
assert is_valid_get_identity_group_by_id(
validator,
get_identity_group_by_id(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print("ERROR: {error}".format(error=original_e))
raise original_e
def get_identity_group_by_id_default(api):
endpoint_result = api.identity_groups.get_identity_group_by_id(
id='string'
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_identity_group_by_id_default(api, validator):
try:
assert is_valid_get_identity_group_by_id(
validator,
get_identity_group_by_id_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_update_identity_group_by_id(json_schema_validate, obj):
if not obj:
return False
assert hasattr(obj, 'headers')
assert hasattr(obj, 'content')
assert hasattr(obj, 'text')
assert hasattr(obj, 'response')
json_schema_validate('jsd_1c0689e940ba5526946ad15976cc3365_v3_1_0').validate(obj.response)
return True
def update_identity_group_by_id(api):
endpoint_result = api.identity_groups.update_identity_group_by_id(
active_validation=False,
description='string',
id='string',
name='string',
parent='string',
payload=None
)
return endpoint_result
@pytest.mark.identity_groups
def test_update_identity_group_by_id(api, validator):
try:
assert is_valid_update_identity_group_by_id(
validator,
update_identity_group_by_id(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print("ERROR: {error}".format(error=original_e))
raise original_e
def update_identity_group_by_id_default(api):
endpoint_result = api.identity_groups.update_identity_group_by_id(
active_validation=False,
id='string',
description=None,
name=None,
parent=None,
payload=None
)
return endpoint_result
@pytest.mark.identity_groups
def test_update_identity_group_by_id_default(api, validator):
try:
assert is_valid_update_identity_group_by_id(
validator,
update_identity_group_by_id_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_identity_groups(json_schema_validate, obj):
if not obj:
return False
assert hasattr(obj, 'headers')
assert hasattr(obj, 'content')
assert hasattr(obj, 'text')
assert hasattr(obj, 'response')
json_schema_validate('jsd_9d904c521059563490c4a93871b33d51_v3_1_0').validate(obj.response)
return True
def get_identity_groups(api):
endpoint_result = api.identity_groups.get_identity_groups(
filter='value1,value2',
filter_type='string',
page=0,
size=0,
sortasc='string',
sortdsc='string'
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_identity_groups(api, validator):
try:
assert is_valid_get_identity_groups(
validator,
get_identity_groups(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print("ERROR: {error}".format(error=original_e))
raise original_e
def get_identity_groups_default(api):
endpoint_result = api.identity_groups.get_identity_groups(
filter=None,
filter_type=None,
page=None,
size=None,
sortasc=None,
sortdsc=None
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_identity_groups_default(api, validator):
try:
assert is_valid_get_identity_groups(
validator,
get_identity_groups_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_create_identity_group(json_schema_validate, obj):
if not obj:
return False
assert hasattr(obj, 'headers')
assert hasattr(obj, 'content')
assert hasattr(obj, 'text')
assert hasattr(obj, 'response')
json_schema_validate('jsd_592250bf19f653f9a5c48d1fb1890409_v3_1_0').validate(obj.response)
return True
def create_identity_group(api):
endpoint_result = api.identity_groups.create_identity_group(
active_validation=False,
description='string',
name='string',
parent='string',
payload=None
)
return endpoint_result
@pytest.mark.identity_groups
def test_create_identity_group(api, validator):
try:
assert is_valid_create_identity_group(
validator,
create_identity_group(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print("ERROR: {error}".format(error=original_e))
raise original_e
def create_identity_group_default(api):
endpoint_result = api.identity_groups.create_identity_group(
active_validation=False,
description=None,
name=None,
parent=None,
payload=None
)
return endpoint_result
@pytest.mark.identity_groups
def test_create_identity_group_default(api, validator):
try:
assert is_valid_create_identity_group(
validator,
create_identity_group_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_version(json_schema_validate, obj):
if not obj:
return False
assert hasattr(obj, 'headers')
assert hasattr(obj, 'content')
assert hasattr(obj, 'text')
assert hasattr(obj, 'response')
json_schema_validate('jsd_aab79aee0b455bfea8a6d7c6464a2a09_v3_1_0').validate(obj.response)
return True
def get_version(api):
endpoint_result = api.identity_groups.get_version(
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_version(api, validator):
try:
assert is_valid_get_version(
validator,
get_version(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print("ERROR: {error}".format(error=original_e))
raise original_e
def get_version_default(api):
endpoint_result = api.identity_groups.get_version(
)
return endpoint_result
@pytest.mark.identity_groups
def test_get_version_default(api, validator):
try:
assert is_valid_get_version(
validator,
get_version_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
| 30.108635
| 109
| 0.710056
| 1,314
| 10,809
| 5.542618
| 0.143075
| 0.078539
| 0.067967
| 0.054373
| 0.781683
| 0.772484
| 0.771111
| 0.762598
| 0.760676
| 0.748867
| 0
| 0.018549
| 0.216949
| 10,809
| 358
| 110
| 30.192737
| 0.841919
| 0.10741
| 0
| 0.669118
| 0
| 0
| 0.065138
| 0.026761
| 0
| 0
| 0
| 0
| 0.132353
| 1
| 0.110294
| false
| 0
| 0.018382
| 0
| 0.216912
| 0.022059
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 5
|
10c3757c6e05df8208e7be624a2efb8195b9654b
| 2,885
|
py
|
Python
|
castle.py
|
PK1210/SuperMario
|
6b06f130df23ed4f244305deb5dcf85f249ccf78
|
[
"MIT"
] | 11
|
2018-10-02T17:47:24.000Z
|
2021-03-24T13:13:48.000Z
|
castle.py
|
PrajwalKrishna/SuperMario
|
6b06f130df23ed4f244305deb5dcf85f249ccf78
|
[
"MIT"
] | 9
|
2018-10-02T17:42:36.000Z
|
2018-11-02T05:33:22.000Z
|
castle.py
|
PrajwalKrishna/SuperMario
|
6b06f130df23ed4f244305deb5dcf85f249ccf78
|
[
"MIT"
] | 14
|
2018-10-02T17:53:26.000Z
|
2020-01-22T12:27:00.000Z
|
'''This file makes castles at the end of level'''
from obstacles import Obstacle
from base import Dimension, Point, FLOOR
CASTLE_SHAPE = [
[' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '/',
'\\', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '],
[' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '/', ' ',
' ', '\\', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' '],
[' ', ' ', ' ', ' ', ' ', ' ', '/', '\\', ' ', ' ', ' ', ' ', '/', ' ', ' ',
' ', ' ', '\\', ' ', ' ', ' ', ' ', '/', '\\', ' ', ' ', ' ', ' ', ' ', ' '],
[' ', ' ', ' ', ' ', ' ', '/', ' ', ' ', '\\', ' ', ' ', '/', ' ', ' ', ' ',
' ', ' ', ' ', '\\', ' ', ' ', '/', ' ', ' ', '\\', ' ', ' ', ' ', ' ', ' '],
[' ', '/', '\\', ' ', 'D', 'D', 'H', 'H', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
'D', 'D', 'D', 'D', 'D', 'D', 'D', 'H', 'H', 'D', 'D', ' ', '/', '\\', ' '],
['/', ' ', ' ', '\\', 'D', 'D', ' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'D',
'D', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ', 'D', 'D', '/', ' ', ' ', '\\'],
['D', 'H', 'H', 'D', 'D', 'D', ' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'D',
'D', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ', 'D', 'D', 'D', 'H', 'H', 'D'],
['D', ' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ', 'D'],
['D', ' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ', 'D'],
['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', ' ',
' ', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D'],
['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', ' ', ' ',
' ', ' ', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D'],
['D', 'D', 'D', 'D', 'H', 'H', 'H', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ',
' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'H', 'H', 'H', 'D', 'D', 'D', 'D'],
['D', 'D', 'D', 'D', 'H', 'H', 'H', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ',
' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'H', 'H', 'H', 'D', 'D', 'D', 'D'],
['D', 'D', 'D', 'D', 'H', 'H', 'H', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ',
' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'H', 'H', 'H', 'D', 'D', 'D', 'D'],
['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', ' ', ' ', ' ',
' ', ' ', ' ', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D']
]
class Castle(Obstacle):
'''Castle from mario World '''
def __init__(self, y, board):
dimensions = Dimension(15, 30)
focus = Point(FLOOR - dimensions.length, y)
shape = CASTLE_SHAPE
Obstacle.__init__(self, focus, shape, dimensions, board)
self.draw()
| 45.793651
| 82
| 0.191334
| 315
| 2,885
| 1.720635
| 0.111111
| 0.822878
| 1.173432
| 1.490775
| 0.479705
| 0.479705
| 0.479705
| 0.479705
| 0.479705
| 0.479705
| 0
| 0.001987
| 0.302253
| 2,885
| 62
| 83
| 46.532258
| 0.267263
| 0.02357
| 0
| 0.243902
| 0
| 0
| 0.164647
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.02439
| false
| 0
| 0.04878
| 0
| 0.097561
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
804517e720353ad604bf55e4e59431e5905fdefd
| 134
|
py
|
Python
|
chapter5_operations/prediction_monitoring_pattern/src/ml/data.py
|
sudabon/ml-system-in-actions
|
4fb1b3e53e4ed7c36e82f7d4b5570e3959aef525
|
[
"MIT"
] | 133
|
2021-04-24T09:57:58.000Z
|
2022-03-29T06:23:56.000Z
|
chapter5_operations/prediction_monitoring_pattern/src/ml/data.py
|
sudabon/ml-system-in-actions
|
4fb1b3e53e4ed7c36e82f7d4b5570e3959aef525
|
[
"MIT"
] | 6
|
2021-04-24T09:58:40.000Z
|
2021-11-19T04:04:40.000Z
|
chapter5_operations/prediction_monitoring_pattern/src/ml/data.py
|
sudabon/ml-system-in-actions
|
4fb1b3e53e4ed7c36e82f7d4b5570e3959aef525
|
[
"MIT"
] | 40
|
2021-05-21T23:32:40.000Z
|
2022-03-30T00:33:08.000Z
|
from typing import List
from pydantic import BaseModel
class Data(BaseModel):
data: List[List[float]] = [[5.1, 3.5, 1.4, 0.2]]
| 16.75
| 52
| 0.671642
| 23
| 134
| 3.913043
| 0.652174
| 0.044444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072727
| 0.179104
| 134
| 7
| 53
| 19.142857
| 0.745455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
8046c89969c91f83312e4296b71f4b2ee0e5d15a
| 50
|
py
|
Python
|
tests/testutils/repo/__init__.py
|
gtristan/buildstream-plugins
|
96206318b2cade5329a64b0f15b362ed57222086
|
[
"Apache-2.0"
] | null | null | null |
tests/testutils/repo/__init__.py
|
gtristan/buildstream-plugins
|
96206318b2cade5329a64b0f15b362ed57222086
|
[
"Apache-2.0"
] | null | null | null |
tests/testutils/repo/__init__.py
|
gtristan/buildstream-plugins
|
96206318b2cade5329a64b0f15b362ed57222086
|
[
"Apache-2.0"
] | null | null | null |
from .bzrrepo import Bzr
from .gitrepo import Git
| 16.666667
| 24
| 0.8
| 8
| 50
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 50
| 2
| 25
| 25
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
33bc6a09e2391273689172b4bb260920c4499923
| 208
|
py
|
Python
|
elephunk/records/activity.py
|
pitluga/elephunk
|
98649bed91a86b86e008b84093cf85b2d6612b3b
|
[
"MIT"
] | null | null | null |
elephunk/records/activity.py
|
pitluga/elephunk
|
98649bed91a86b86e008b84093cf85b2d6612b3b
|
[
"MIT"
] | 1
|
2021-03-25T21:56:14.000Z
|
2021-03-25T21:56:14.000Z
|
elephunk/records/activity.py
|
pitluga/elephunk
|
98649bed91a86b86e008b84093cf85b2d6612b3b
|
[
"MIT"
] | null | null | null |
from elephunk.database import Row
class Activity(Row):
@property
def formatted_xact_start(self):
if self.xact_start == None:
return ""
return self.xact_start.isoformat()
| 20.8
| 42
| 0.649038
| 25
| 208
| 5.24
| 0.68
| 0.206107
| 0.198473
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.264423
| 208
| 9
| 43
| 23.111111
| 0.856209
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.142857
| 0
| 0.714286
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 5
|
33df7dca27c2430873eaecf7fc69d16811319be0
| 2,312
|
py
|
Python
|
Examples/python_server/openapi_server/com/h21lab/TS29573_N32_Handshake/handler/__init__.py
|
H21lab/5GC_build
|
bbc8bbd9158a2124ca486572906020a91789733e
|
[
"Apache-2.0"
] | 12
|
2020-06-04T06:58:13.000Z
|
2021-12-15T14:26:56.000Z
|
Examples/python_server/openapi_server/com/h21lab/TS29573_N32_Handshake/handler/__init__.py
|
H21lab/5GC_build
|
bbc8bbd9158a2124ca486572906020a91789733e
|
[
"Apache-2.0"
] | 3
|
2021-05-27T12:13:58.000Z
|
2021-12-15T05:45:44.000Z
|
Examples/python_server/openapi_server/com/h21lab/TS29573_N32_Handshake/handler/__init__.py
|
H21lab/5GC_build
|
bbc8bbd9158a2124ca486572906020a91789733e
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
# flake8: noqa
from __future__ import absolute_import
# import models into model package
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.api_ie_mapping import ApiIeMapping
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.api_signature import ApiSignature
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.callback_name import CallbackName
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.failed_modification_info import FailedModificationInfo
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.failure_reason import FailureReason
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.http_method import HttpMethod
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.ie_info import IeInfo
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.ie_location import IeLocation
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.ie_type import IeType
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.invalid_param import InvalidParam
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.ipx_provider_sec_info import IpxProviderSecInfo
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.n32f_context_info import N32fContextInfo
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.n32f_error_detail import N32fErrorDetail
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.n32f_error_info import N32fErrorInfo
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.n32f_error_type import N32fErrorType
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.problem_details import ProblemDetails
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.protection_policy import ProtectionPolicy
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.sec_negotiate_req_data import SecNegotiateReqData
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.sec_negotiate_rsp_data import SecNegotiateRspData
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.sec_param_exch_req_data import SecParamExchReqData
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.sec_param_exch_rsp_data import SecParamExchRspData
from openapi_server.com.h21lab.TS29573_N32_Handshake.handler.security_capability import SecurityCapability
| 82.571429
| 115
| 0.904412
| 319
| 2,312
| 6.206897
| 0.244514
| 0.122222
| 0.188889
| 0.222222
| 0.623737
| 0.623737
| 0.623737
| 0.623737
| 0.623737
| 0.387374
| 0
| 0.09787
| 0.045415
| 2,312
| 27
| 116
| 85.62963
| 0.799275
| 0.025519
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
33f227b669535dd2ebed1193bcfa15e5712769fc
| 21
|
py
|
Python
|
.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_absolute_error_circular/main2.py
|
Vladpetr/NewsPortal
|
cd4127fbc09d9c8f5e65c8ae699856c6d380a320
|
[
"Apache-2.0"
] | null | null | null |
.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_absolute_error_circular/main2.py
|
Vladpetr/NewsPortal
|
cd4127fbc09d9c8f5e65c8ae699856c6d380a320
|
[
"Apache-2.0"
] | 5
|
2021-04-08T22:02:15.000Z
|
2022-02-10T14:53:45.000Z
|
.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_absolute_error_circular/main2.py
|
Vladpetr/NewsPortal
|
cd4127fbc09d9c8f5e65c8ae699856c6d380a320
|
[
"Apache-2.0"
] | null | null | null |
import main
x = 1040
| 7
| 11
| 0.714286
| 4
| 21
| 3.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0.238095
| 21
| 2
| 12
| 10.5
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
1d0f7f01a69919bb2bbd31e8fa57e787d45330fa
| 269
|
py
|
Python
|
regtests/test-all.py
|
ahakingdom/Rusthon
|
5b6b78111b62281cd1381e53362c5d4b520ade30
|
[
"BSD-3-Clause"
] | 622
|
2015-01-01T14:53:51.000Z
|
2022-03-27T14:52:25.000Z
|
regtests/test-all.py
|
ahakingdom/Rusthon
|
5b6b78111b62281cd1381e53362c5d4b520ade30
|
[
"BSD-3-Clause"
] | 74
|
2015-01-05T01:24:09.000Z
|
2021-04-26T00:06:38.000Z
|
regtests/test-all.py
|
ahakingdom/Rusthon
|
5b6b78111b62281cd1381e53362c5d4b520ade30
|
[
"BSD-3-Clause"
] | 67
|
2015-01-18T22:54:54.000Z
|
2022-03-01T12:54:23.000Z
|
import os, subprocess
os.chdir( os.path.split(__file__)[0] )
subprocess.check_call(['python', 'test-c++.py'])
subprocess.check_call(['python', 'test-go.py'])
subprocess.check_call(['python', 'test-javascript.py'])
subprocess.check_call(['python', 'test-markdowns.py'])
| 38.428571
| 55
| 0.724907
| 38
| 269
| 4.921053
| 0.447368
| 0.320856
| 0.406417
| 0.534759
| 0.652406
| 0.497326
| 0
| 0
| 0
| 0
| 0
| 0.003922
| 0.052045
| 269
| 6
| 56
| 44.833333
| 0.729412
| 0
| 0
| 0
| 0
| 0
| 0.297398
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 0
| 0.166667
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
1d1ca093c254f273108febb80072804b5b4d4bd5
| 56
|
py
|
Python
|
lungs_ml/lungs_ml/visualization_service/__init__.py
|
dumaevrinat/lung_diseases
|
caa24a0c263e82106f585b7bcb0c57417fc9a06a
|
[
"MIT"
] | 3
|
2021-05-09T01:50:41.000Z
|
2022-01-06T08:07:48.000Z
|
lungs_ml/lungs_ml/visualization_service/__init__.py
|
dumaevrinat/lung_diseases
|
caa24a0c263e82106f585b7bcb0c57417fc9a06a
|
[
"MIT"
] | null | null | null |
lungs_ml/lungs_ml/visualization_service/__init__.py
|
dumaevrinat/lung_diseases
|
caa24a0c263e82106f585b7bcb0c57417fc9a06a
|
[
"MIT"
] | null | null | null |
from .visualization_service import VisualizationService
| 28
| 55
| 0.910714
| 5
| 56
| 10
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 56
| 1
| 56
| 56
| 0.961538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
1d6a17d00a22259f05f692d122f82f750f1c0096
| 11,700
|
py
|
Python
|
tests/test_aioweenect.py
|
eifinger/aioweenect
|
8617cdf86ca18ec585b0c52657819061a7f363c9
|
[
"MIT"
] | 1
|
2021-11-30T15:46:14.000Z
|
2021-11-30T15:46:14.000Z
|
tests/test_aioweenect.py
|
eifinger/aioweenect
|
459f7488e9a780db1c309b5e303df63bc599ed4f
|
[
"MIT"
] | 65
|
2021-04-19T07:36:25.000Z
|
2022-03-29T20:15:37.000Z
|
tests/test_aioweenect.py
|
eifinger/aioweenect
|
8617cdf86ca18ec585b0c52657819061a7f363c9
|
[
"MIT"
] | 1
|
2022-01-17T17:50:57.000Z
|
2022-01-17T17:50:57.000Z
|
"""Tests for `aioweenect.aioweenect`."""
import json
import os
from typing import Any
import aiohttp
import pytest
from aioweenect import AioWeenect
API_HOST = "apiv4.weenect.com"
API_VERSION = "/v4"
@pytest.mark.asyncio
async def test_get_user_with_invalid_token(aresponses):
"""Test getting user information with a timed out token."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/user/100000",
"GET",
aresponses.Response(
body="{"
'"description": "Signature has expired",'
'"error": "Invalid token",'
'"status_code": 401'
"}",
status=401,
),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/user/100000",
"GET",
response=load_json_fixture("get_user_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_user("100000")
assert response["postal_code"] == "55128"
@pytest.mark.asyncio
async def test_get_user(aresponses):
"""Test getting user information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/user/100000",
"GET",
response=load_json_fixture("get_user_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_user("100000")
assert response["postal_code"] == "55128"
@pytest.mark.asyncio
async def test_get_subscription_offers(aresponses):
"""Test getting subscription offer information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/subscriptionoffer",
"GET",
response=load_json_fixture("get_subscription_offer_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_subscription_offers()
assert (
response["items"][0]["option_offers"][0]["price_offer"]["de"]["amount"]
== 199
)
@pytest.mark.asyncio
async def test_get_subscription(aresponses):
"""Test getting subscription information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mysubscription/100000",
"GET",
response=load_json_fixture("get_subscription_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_subscription("100000")
assert response["options"][0]["amount"] == 99
@pytest.mark.asyncio
async def test_get_zones(aresponses):
"""Test getting zone information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/zones",
"GET",
response=load_json_fixture("get_zones_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_zones("100000")
assert response["items"][0]["distance"] == 100
@pytest.mark.asyncio
async def test_add_zone(aresponses):
"""Test adding a zone."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/zones",
"POST",
response=load_json_fixture("add_zone_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.add_zone(
tracker_id="100000",
address="test",
latitude=90.0,
longitude=1.0,
name="test",
)
assert response["number"] == 186177
@pytest.mark.asyncio
async def test_remove_zone(aresponses):
"""Test removing a zone."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/zones/100000",
"DELETE",
aresponses.Response(text="", status=204),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.remove_zone(tracker_id="100000", zone_id="100000")
assert response is None
@pytest.mark.asyncio
async def test_get_position(aresponses):
"""Test getting position information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/position",
"GET",
response=load_json_fixture("get_position_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_position(
tracker_id="100000",
start="2019-04-14T23:05:00.000Z",
end="2019-04-15T23:05:00.000Z",
)
assert response[0]["latitude"] == 49.0268016
@pytest.mark.asyncio
async def test_get_activity(aresponses):
"""Test getting activity information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/activity",
"GET",
response=load_json_fixture("get_activity_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_activity(
tracker_id="100000",
start="2019-04-14T23:05:00.000Z",
end="2019-04-15T23:05:00.000Z",
)
assert response["distance"] == 31246.108984983595
@pytest.mark.asyncio
async def test_get_trackers(aresponses):
"""Test getting tracker information."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker",
"GET",
response=load_json_fixture("get_trackers_response.json"),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.get_trackers()
assert response["items"][0]["user"]["firstname"] == "Test"
@pytest.mark.asyncio
async def test_set_update_interval(aresponses):
"""Test setting the update interval."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/mode",
"POST",
aresponses.Response(text="", status=204),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.set_update_interval(
tracker_id="100000", update_interval="30M"
)
assert response is None
@pytest.mark.asyncio
async def test_activate_super_live(aresponses):
"""Test activating super live mode."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/st-mode",
"POST",
aresponses.Response(text="", status=204),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.activate_super_live(tracker_id="100000")
assert response is None
@pytest.mark.asyncio
async def test_refresh_location(aresponses):
"""Test requesting a location refresh."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/position/refresh",
"POST",
aresponses.Response(text="", status=204),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.refresh_location(tracker_id="100000")
assert response is None
@pytest.mark.asyncio
async def test_vibrate(aresponses):
"""Test sending a vibration command."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/vibrate",
"POST",
aresponses.Response(text="", status=204),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.vibrate(tracker_id="100000")
assert response is None
@pytest.mark.asyncio
async def test_ring(aresponses):
"""Test sending a ring command."""
aresponses.add(
API_HOST,
f"{API_VERSION}/user/login",
"POST",
response=load_json_fixture("login_response.json"),
)
aresponses.add(
API_HOST,
f"{API_VERSION}/mytracker/100000/ring",
"POST",
aresponses.Response(text="", status=204),
)
async with aiohttp.ClientSession() as session:
aioweenect = AioWeenect(username="user", password="password", session=session)
response = await aioweenect.ring(tracker_id="100000")
assert response is None
def load_json_fixture(filename: str) -> Any:
"""Load a fixture."""
path = os.path.join(os.path.dirname(__file__), "fixtures", filename)
with open(path, encoding="utf-8") as fptr:
content = fptr.read()
json_content = json.loads(content)
return json_content
| 30
| 86
| 0.632479
| 1,279
| 11,700
| 5.609851
| 0.117279
| 0.032195
| 0.071359
| 0.089199
| 0.78662
| 0.774355
| 0.746063
| 0.715122
| 0.701742
| 0.701742
| 0
| 0.037375
| 0.240769
| 11,700
| 389
| 87
| 30.077121
| 0.770348
| 0.004274
| 0
| 0.627329
| 0
| 0
| 0.200778
| 0.114278
| 0
| 0
| 0
| 0
| 0.046584
| 1
| 0.003106
| false
| 0.046584
| 0.018634
| 0
| 0.024845
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 5
|
1d74e97efadd41011e3ccd4342ff340067a56730
| 91
|
py
|
Python
|
misago/misago/core/testproject/searchfilters.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | 2
|
2021-03-06T21:06:13.000Z
|
2021-03-09T15:05:12.000Z
|
misago/misago/core/testproject/searchfilters.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | null | null | null |
misago/misago/core/testproject/searchfilters.py
|
vascoalramos/misago-deployment
|
20226072138403108046c0afad9d99eb4163cedc
|
[
"MIT"
] | null | null | null |
def test_filter(search):
return search.replace("MMM", "Marines, Marauders and Medics")
| 30.333333
| 65
| 0.736264
| 12
| 91
| 5.5
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131868
| 91
| 2
| 66
| 45.5
| 0.835443
| 0
| 0
| 0
| 0
| 0
| 0.351648
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 1
| 0
|
0
| 5
|
d526a9a8e4a3595c4775593685fa3f51c8e750a7
| 52
|
py
|
Python
|
app/views/alekseyl/active_record/__init__.py
|
iu5team/rms
|
179bba96fd72eacb89e01f8d75d9ab6a4e4a875a
|
[
"MIT"
] | null | null | null |
app/views/alekseyl/active_record/__init__.py
|
iu5team/rms
|
179bba96fd72eacb89e01f8d75d9ab6a4e4a875a
|
[
"MIT"
] | 38
|
2016-04-06T10:29:45.000Z
|
2016-05-18T19:50:20.000Z
|
app/views/alekseyl/domain_model/__init__.py
|
iu5team/rms
|
179bba96fd72eacb89e01f8d75d9ab6a4e4a875a
|
[
"MIT"
] | null | null | null |
from task import Task
from employee import Employee
| 17.333333
| 29
| 0.846154
| 8
| 52
| 5.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 52
| 2
| 30
| 26
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d54328cdb3f1811e3f51ee37018b0980f5363da2
| 194
|
py
|
Python
|
libs/core/cornflow_core/shared/__init__.py
|
ggsdc/corn
|
4c17c46a70f95b8882bcb6a55ef7daa1f69e0456
|
[
"MIT"
] | 2
|
2020-07-09T20:58:47.000Z
|
2020-07-20T20:40:46.000Z
|
libs/core/cornflow_core/shared/__init__.py
|
baobabsoluciones/cornflow
|
bd7cae22107e5fe148704d5f41d4f58f9c410b40
|
[
"Apache-2.0"
] | 2
|
2022-03-31T08:42:10.000Z
|
2022-03-31T12:05:23.000Z
|
libs/core/cornflow_core/shared/__init__.py
|
ggsdc/corn
|
4c17c46a70f95b8882bcb6a55ef7daa1f69e0456
|
[
"MIT"
] | null | null | null |
"""
Exposes the objects and functions of the module
"""
from .utils import db, bcrypt
from .validators import (
check_email_pattern,
check_password_pattern,
validate_and_continue,
)
| 19.4
| 47
| 0.747423
| 25
| 194
| 5.56
| 0.76
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180412
| 194
| 9
| 48
| 21.555556
| 0.874214
| 0.242268
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.166667
| 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
| 1
| 1
| 0
| 0
| 0
|
0
| 5
|
d55fcd9b23acbfad6ba762a414d0f98225711151
| 197
|
py
|
Python
|
partsdb/tools/__init__.py
|
HaseloffLab/PartsDB
|
759a7edb9426810344b106ef2629b8ca5d151043
|
[
"MIT"
] | 2
|
2020-11-23T21:49:52.000Z
|
2021-12-03T00:21:26.000Z
|
partsdb/tools/__init__.py
|
HaseloffLab/PartsDB
|
759a7edb9426810344b106ef2629b8ca5d151043
|
[
"MIT"
] | null | null | null |
partsdb/tools/__init__.py
|
HaseloffLab/PartsDB
|
759a7edb9426810344b106ef2629b8ca5d151043
|
[
"MIT"
] | null | null | null |
from cutGenes import prepareLibrary
from compRev import compRev
from getUtrCoordinates import getUtrCoordinates
from annotateBlastp import annotateBlastp
from saveSeqs import saveSequences
| 39.4
| 48
| 0.857868
| 20
| 197
| 8.45
| 0.45
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142132
| 197
| 5
| 49
| 39.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d5734dbd74c1e8a2ba4dd27012d760b009a2e029
| 80
|
py
|
Python
|
api-prototype/database/run_dev.py
|
LandRegistry/land-charges-discovery
|
60b893b97d6ff77ad552d510d878f622ea66f564
|
[
"MIT"
] | 2
|
2015-03-31T08:29:44.000Z
|
2015-04-10T13:56:12.000Z
|
api-prototype/database/run_dev.py
|
LandRegistry/land-charges-discovery
|
60b893b97d6ff77ad552d510d878f622ea66f564
|
[
"MIT"
] | null | null | null |
api-prototype/database/run_dev.py
|
LandRegistry/land-charges-discovery
|
60b893b97d6ff77ad552d510d878f622ea66f564
|
[
"MIT"
] | 1
|
2021-04-11T06:06:06.000Z
|
2021-04-11T06:06:06.000Z
|
from service.server import app
import os
app.run( host="0.0.0.0", debug=True )
| 16
| 37
| 0.7125
| 16
| 80
| 3.5625
| 0.6875
| 0.105263
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057971
| 0.1375
| 80
| 4
| 38
| 20
| 0.768116
| 0
| 0
| 0
| 0
| 0
| 0.0875
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
d58b685571c1568c7b4ccd6ec2e698349c38afcd
| 65
|
py
|
Python
|
players/__init__.py
|
gdahia/ufba-ai-minesweeper
|
ba87df32c430481672a55a5b2c421cd6f97ad443
|
[
"MIT"
] | null | null | null |
players/__init__.py
|
gdahia/ufba-ai-minesweeper
|
ba87df32c430481672a55a5b2c421cd6f97ad443
|
[
"MIT"
] | 2
|
2018-02-08T18:15:45.000Z
|
2018-02-08T18:18:00.000Z
|
players/__init__.py
|
gdahia/ufba-ai-minesweeper
|
ba87df32c430481672a55a5b2c421cd6f97ad443
|
[
"MIT"
] | null | null | null |
import players.player
import players.logical
import players.user
| 16.25
| 22
| 0.861538
| 9
| 65
| 6.222222
| 0.555556
| 0.696429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092308
| 65
| 3
| 23
| 21.666667
| 0.949153
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
d59270d4067c5d75f231b1e49ed6fb6b6c22efdb
| 17,996
|
py
|
Python
|
2019/Day13_pretty.py
|
hrmorley34/AdventofCode
|
74590422717fb5c6b80ef3fca226359d354c4aec
|
[
"MIT"
] | null | null | null |
2019/Day13_pretty.py
|
hrmorley34/AdventofCode
|
74590422717fb5c6b80ef3fca226359d354c4aec
|
[
"MIT"
] | null | null | null |
2019/Day13_pretty.py
|
hrmorley34/AdventofCode
|
74590422717fb5c6b80ef3fca226359d354c4aec
|
[
"MIT"
] | null | null | null |
import time
import colorama
from Day09 import Memory, IntcodeComputer
PUZZLE_INPUT = "1,380,379,385,1008,2823,432584,381,1005,381,12,99,109,2824,1101,0,0,383,1101,0,0,382,20102,1,382,1,20102,1,383,2,21102,1,37,0,1105,1,578,4,382,4,383,204,1,1001,382,1,382,1007,382,42,381,1005,381,22,1001,383,1,383,1007,383,26,381,1005,381,18,1006,385,69,99,104,-1,104,0,4,386,3,384,1007,384,0,381,1005,381,94,107,0,384,381,1005,381,108,1105,1,161,107,1,392,381,1006,381,161,1101,-1,0,384,1105,1,119,1007,392,40,381,1006,381,161,1101,0,1,384,21002,392,1,1,21102,24,1,2,21102,0,1,3,21102,138,1,0,1105,1,549,1,392,384,392,20102,1,392,1,21101,0,24,2,21101,0,3,3,21101,161,0,0,1105,1,549,1101,0,0,384,20001,388,390,1,20101,0,389,2,21101,0,180,0,1106,0,578,1206,1,213,1208,1,2,381,1006,381,205,20001,388,390,1,21002,389,1,2,21101,0,205,0,1106,0,393,1002,390,-1,390,1101,1,0,384,20102,1,388,1,20001,389,391,2,21102,1,228,0,1105,1,578,1206,1,261,1208,1,2,381,1006,381,253,21001,388,0,1,20001,389,391,2,21101,253,0,0,1106,0,393,1002,391,-1,391,1102,1,1,384,1005,384,161,20001,388,390,1,20001,389,391,2,21102,1,279,0,1105,1,578,1206,1,316,1208,1,2,381,1006,381,304,20001,388,390,1,20001,389,391,2,21102,1,304,0,1106,0,393,1002,390,-1,390,1002,391,-1,391,1102,1,1,384,1005,384,161,21001,388,0,1,21002,389,1,2,21101,0,0,3,21101,0,338,0,1106,0,549,1,388,390,388,1,389,391,389,21002,388,1,1,20102,1,389,2,21101,4,0,3,21102,1,365,0,1106,0,549,1007,389,25,381,1005,381,75,104,-1,104,0,104,0,99,0,1,0,0,0,0,0,0,380,19,21,1,1,21,109,3,22102,1,-2,1,21201,-1,0,2,21102,1,0,3,21101,0,414,0,1105,1,549,21201,-2,0,1,21202,-1,1,2,21102,1,429,0,1105,1,601,1202,1,1,435,1,386,0,386,104,-1,104,0,4,386,1001,387,-1,387,1005,387,451,99,109,-3,2105,1,0,109,8,22202,-7,-6,-3,22201,-3,-5,-3,21202,-4,64,-2,2207,-3,-2,381,1005,381,492,21202,-2,-1,-1,22201,-3,-1,-3,2207,-3,-2,381,1006,381,481,21202,-4,8,-2,2207,-3,-2,381,1005,381,518,21202,-2,-1,-1,22201,-3,-1,-3,2207,-3,-2,381,1006,381,507,2207,-3,-4,381,1005,381,540,21202,-4,-1,-1,22201,-3,-1,-3,2207,-3,-4,381,1006,381,529,22102,1,-3,-7,109,-8,2105,1,0,109,4,1202,-2,42,566,201,-3,566,566,101,639,566,566,2102,1,-1,0,204,-3,204,-2,204,-1,109,-4,2105,1,0,109,3,1202,-1,42,594,201,-2,594,594,101,639,594,594,20102,1,0,-2,109,-3,2105,1,0,109,3,22102,26,-2,1,22201,1,-1,1,21101,557,0,2,21102,671,1,3,21101,0,1092,4,21101,630,0,0,1105,1,456,21201,1,1731,-2,109,-3,2106,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,2,2,0,0,2,0,0,0,0,0,2,2,2,0,2,2,2,0,0,2,0,0,0,0,0,2,0,2,0,0,2,2,0,2,2,2,0,0,1,1,0,0,2,2,2,0,0,2,0,2,2,2,2,0,0,2,2,0,2,2,2,2,0,0,0,0,2,0,2,0,2,2,2,2,0,2,0,0,0,0,1,1,0,0,2,2,2,2,0,2,0,2,2,2,0,2,0,0,0,2,0,0,2,2,2,2,2,0,2,0,0,0,2,2,0,0,2,2,2,2,2,0,1,1,0,0,2,2,0,0,0,2,0,2,2,2,2,0,0,0,2,0,0,2,2,2,0,0,2,0,0,0,2,2,2,0,2,0,0,0,2,0,2,0,1,1,0,2,0,0,2,2,2,0,2,2,0,2,0,2,0,0,2,0,0,2,0,0,0,0,0,0,0,2,2,0,2,2,0,0,2,2,2,2,2,0,1,1,0,2,0,2,2,2,2,0,2,0,2,0,2,2,0,2,0,2,0,2,2,2,2,0,0,0,2,2,2,2,2,0,0,2,0,0,0,2,0,0,1,1,0,2,0,2,2,2,2,0,2,2,0,2,2,2,2,2,0,2,2,2,2,0,2,2,0,2,0,2,2,2,0,2,2,2,0,2,0,0,0,0,1,1,0,2,0,2,2,2,2,2,2,2,2,0,0,2,0,0,2,2,2,2,2,0,0,0,2,0,2,0,2,2,0,2,2,0,0,0,2,2,2,0,1,1,0,2,0,0,0,0,2,0,0,2,0,2,0,2,0,0,2,2,2,2,2,0,2,0,0,2,0,2,0,2,2,0,0,2,2,0,0,2,0,0,1,1,0,0,2,0,0,0,2,2,0,0,0,0,2,2,0,0,0,2,2,0,2,0,0,2,2,0,2,2,0,0,2,0,2,2,2,0,0,2,2,0,1,1,0,2,2,2,0,0,2,0,2,2,0,0,2,2,2,2,2,0,2,2,0,2,2,2,2,2,0,2,0,0,2,0,2,0,2,0,2,2,2,0,1,1,0,0,2,0,2,0,0,0,0,2,2,2,2,0,0,0,0,0,2,2,0,2,2,0,2,0,2,2,2,2,0,0,0,0,2,2,0,2,2,0,1,1,0,0,0,2,0,2,2,2,2,2,2,0,2,2,0,0,0,2,0,2,2,0,2,2,2,2,0,2,0,2,0,0,2,0,0,2,2,2,2,0,1,1,0,0,0,2,2,0,2,2,0,2,2,0,0,2,0,2,0,0,2,0,2,0,0,2,0,0,2,0,2,2,2,0,2,2,2,2,0,0,2,0,1,1,0,0,0,2,2,0,2,2,2,0,2,2,0,0,2,0,0,2,2,2,0,0,0,2,0,0,2,0,2,0,0,2,0,2,2,2,0,0,0,0,1,1,0,0,2,0,2,0,2,0,0,2,2,2,0,2,2,2,2,0,2,2,0,2,2,0,0,0,0,2,0,0,2,2,2,0,0,0,2,2,2,0,1,1,0,2,2,0,2,2,0,0,0,0,0,2,2,2,0,2,2,2,0,2,2,0,0,2,2,0,2,0,2,0,2,0,2,0,0,0,2,2,2,0,1,1,0,2,2,0,2,2,2,2,0,2,2,2,2,2,2,2,2,2,2,0,2,0,2,2,0,0,2,2,0,2,0,2,2,2,2,0,0,2,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,26,39,93,24,77,14,80,83,52,91,93,34,84,34,71,69,88,90,9,41,47,38,55,55,97,48,94,51,98,36,7,89,44,29,22,82,9,40,55,30,48,6,30,71,85,16,56,22,20,34,83,79,18,54,97,37,1,18,41,60,62,10,90,5,66,35,59,62,46,39,95,95,75,30,47,81,92,86,41,23,4,60,17,68,1,38,93,38,63,57,19,91,76,36,17,39,33,15,10,38,55,89,90,80,33,41,68,68,88,42,31,24,50,74,41,58,69,57,13,97,83,92,25,23,27,13,50,92,41,82,23,31,11,53,10,10,49,53,50,73,58,12,84,58,10,95,1,28,76,2,53,86,66,98,20,88,30,39,21,47,31,30,78,28,74,63,90,91,88,78,10,64,52,91,18,65,20,16,90,76,2,22,18,43,90,5,59,62,60,71,41,66,64,39,32,90,10,61,52,71,46,61,18,53,82,80,53,39,70,71,81,48,17,26,14,19,69,16,68,39,39,86,31,34,4,11,81,32,55,54,12,93,34,49,50,2,64,61,44,89,13,45,64,45,87,92,16,81,83,18,4,96,43,88,74,27,16,78,10,12,31,38,28,84,50,28,75,74,39,42,43,41,16,5,76,95,88,49,22,43,13,95,66,68,32,79,66,26,82,43,25,79,10,2,77,22,19,81,4,92,42,54,67,62,18,9,69,69,24,69,87,6,53,56,22,20,98,85,3,79,35,4,32,96,25,69,59,23,14,92,19,34,73,42,44,45,7,85,8,31,55,68,84,59,4,18,65,19,61,37,72,29,46,67,64,40,46,82,8,50,57,8,59,83,47,22,16,1,58,41,93,56,60,17,95,24,63,48,47,89,23,12,37,82,19,9,74,30,15,65,1,86,88,93,75,73,11,80,88,36,49,62,57,59,75,43,91,47,93,98,65,30,90,50,93,81,58,43,84,58,24,33,17,83,48,45,91,60,40,87,75,94,26,95,81,93,62,68,73,71,77,56,89,49,26,56,26,4,26,63,16,64,77,33,16,93,21,68,63,55,15,65,23,14,45,35,22,3,78,50,83,45,96,69,79,7,20,6,75,64,8,7,71,85,16,68,27,50,88,31,34,50,32,83,48,1,35,50,90,10,59,19,80,61,83,34,59,25,7,41,48,56,10,64,23,14,85,70,77,73,91,17,36,60,2,1,77,89,39,84,89,76,55,77,51,24,43,2,31,50,46,50,62,22,48,86,38,19,13,2,96,80,74,82,54,84,49,7,4,1,86,33,50,7,37,51,4,54,37,91,11,12,29,77,78,55,98,15,34,82,7,28,41,16,42,73,44,62,70,61,20,76,24,95,78,40,44,24,25,29,85,83,39,48,5,64,43,81,12,8,84,37,47,80,62,53,32,29,87,7,8,41,1,72,9,38,58,64,31,6,23,15,31,3,53,56,34,35,30,57,75,13,56,36,7,87,88,22,91,60,64,10,45,91,43,83,50,23,79,87,4,80,51,11,3,60,56,86,19,83,76,75,43,44,35,75,25,97,40,20,11,51,31,1,23,89,35,41,68,33,93,9,74,80,81,58,13,13,22,80,54,21,93,19,40,25,46,85,75,62,15,54,90,12,10,31,49,89,51,13,57,92,3,17,28,84,36,90,21,12,86,44,87,66,58,24,83,55,13,91,21,70,91,50,94,77,90,35,6,72,79,95,20,2,45,50,77,15,3,97,73,94,54,12,64,30,9,26,45,84,34,95,57,15,88,33,47,62,69,62,89,29,60,34,47,13,86,66,86,75,5,29,50,19,65,70,81,51,62,43,21,61,87,39,19,49,48,7,23,62,52,2,17,31,54,97,98,83,76,98,4,30,31,56,11,89,7,75,46,13,62,32,70,83,29,23,53,40,90,28,45,64,9,35,52,39,77,71,24,40,69,66,59,98,53,15,57,83,50,65,75,26,1,83,17,73,75,34,72,11,66,18,50,77,8,26,80,61,33,84,12,52,13,7,30,26,61,23,10,88,3,80,80,49,29,40,90,65,25,89,55,42,13,98,23,3,19,46,5,94,5,19,72,63,2,20,36,26,20,4,51,77,93,2,25,86,12,7,56,12,61,85,53,12,15,10,13,13,50,73,34,86,59,94,40,36,9,95,74,55,13,19,71,60,63,74,26,24,10,5,21,86,93,62,62,34,47,85,26,94,60,25,9,93,57,57,97,80,6,80,48,22,11,77,50,9,20,23,21,15,33,49,8,76,94,2,61,88,10,24,56,47,43,48,39,12,52,66,19,68,35,26,46,93,27,51,72,98,58,1,24,5,5,9,51,61,3,42,76,98,83,90,49,94,74,79,73,4,46,55,62,16,19,35,51,19,39,64,87,2,95,65,66,26,81,67,35,54,51,70,10,63,76,51,82,67,48,78,15,19,27,37,24,63,97,55,97,7,49,72,7,76,25,82,84,56,94,47,48,44,91,10,432584"
PUZZLE_INPUT = [int(x) for x in PUZZLE_INPUT.split(",")]
colorama.init()
IMG_A = """ {RST}
{DIM}##########################################{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}OOOOOO {YEL} OOOOO {GRN}O O {CYN} OOOOO {RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O O {YEL}O O {GRN}OO O {CYN}O O{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O O {YEL}O O {GRN}O O O {CYN}O {RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}OOOOOO {YEL}O O {GRN}O O O {CYN}O {RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O {YEL}O O {GRN}O O O {CYN}O OOO{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O {YEL}O O {GRN}O OO {CYN}O O{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O {YEL} OOOOO {GRN}O O {CYN} OOOOO {RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} ___ ___ ____ ___ ___ {DIM}#{RST}
{DIM}#{RST} | \ | \ | / / {DIM}#{RST}
{DIM}#{RST} |__/ |__/ |__ \__ \__ {DIM}#{RST}
{DIM}#{RST} | | \ | \ \ {DIM}#{RST}
{DIM}#{RST} | | \ |___ ___/ ___/ {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} ___ ____ __ ___ ____ {DIM}#{RST}
{DIM}#{RST} / | / \ | \ | {DIM}#{RST}
{DIM}#{RST} \__ | |__| |__/ | {DIM}#{RST}
{DIM}#{RST} \ | | | | \ | {DIM}#{RST}
{DIM}#{RST} ___/ | | | | \ | {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
""".format(DIM=colorama.Style.DIM, RST=colorama.Style.RESET_ALL,
BRG=colorama.Style.BRIGHT,
MAG=colorama.Fore.MAGENTA, YEL=colorama.Fore.YELLOW,
GRN=colorama.Fore.GREEN, CYN=colorama.Fore.CYAN)
IMG_B = """ {RST}
{DIM}##########################################{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}OOOOOO {YEL} OOOOO {GRN}O O {CYN} OOOOO {RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O O {YEL}O O {GRN}OO O {CYN}O O{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O O {YEL}O O {GRN}O O O {CYN}O {RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}OOOOOO {YEL}O O {GRN}O O O {CYN}O {RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O {YEL}O O {GRN}O O O {CYN}O OOO{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O {YEL}O O {GRN}O OO {CYN}O O{RST} {DIM}#{RST}
{DIM}#{RST} {BRG}{MAG}O {YEL} OOOOO {GRN}O O {CYN} OOOOO {RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} ___ ___ ____ ___ ___ {DIM}#{RST}
{DIM}#{RST} | \ | \ | / / {DIM}#{RST}
{DIM}#{RST} |__/ |__/ |__ \__ \__ {DIM}#{RST}
{DIM}#{RST} | | \ | \ \ {DIM}#{RST}
{DIM}#{RST} | | \ |___ ___/ ___/ {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {BRG} ___ ____ __ ___ ____ {DIM}#{RST}
{DIM}#{RST} {BRG}\ \ \ / | / \ | \ | {DIM}#{RST}
{DIM}#{RST} {BRG} \ \ \ \__ | |__| |__/ | {DIM}#{RST}
{DIM}#{RST} {BRG} / / / \ | | | | \ | {DIM}#{RST}
{DIM}#{RST} {BRG}/ / / ___/ | | | | \ | {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
""".format(DIM=colorama.Style.DIM, RST=colorama.Style.RESET_ALL,
BRG=colorama.Style.BRIGHT,
MAG=colorama.Fore.MAGENTA, YEL=colorama.Fore.YELLOW,
GRN=colorama.Fore.GREEN, CYN=colorama.Fore.CYAN)
IMG_C = """ {RST}
{DIM}##########################################{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
{DIM}#{RST} {DIM}#{RST}
""".format(DIM=colorama.Style.DIM, RST=colorama.Style.RESET_ALL)
ROW_TWOWALL = "{DIM}#{RST} {DIM}#{RST}\
".format(DIM=colorama.Style.DIM, RST=colorama.Style.RESET_ALL)
def cursor(x, y): return '\x1b[%d;%dH' % (y+1, x+1)
def goto_cursor(x, y): print('\x1b[%d;%dH' % (y+1, x+1), end="")
print(IMG_A, end="")
time.sleep(0.5)
try:
while True:
print(cursor(0,0) + IMG_B, end="")
time.sleep(0.5)
print(cursor(0,0) + IMG_A, end="")
time.sleep(0.5)
except KeyboardInterrupt:
pass # go onwards
time.sleep(0.2)
print(cursor(0,0) + IMG_C, end="")
time.sleep(1)
# PART 2 - pretty!
i = IntcodeComputer(PUZZLE_INPUT)
i.memory[0] = 2
CHARS = {0: " ",
1: colorama.Style.DIM + "#" + colorama.Style.RESET_ALL,
2: colorama.Style.BRIGHT + colorama.Fore.YELLOW + "O" + colorama.Style.RESET_ALL,
3: colorama.Style.BRIGHT + "-" + colorama.Style.RESET_ALL,
4: colorama.Style.BRIGHT + colorama.Fore.CYAN + "*" + colorama.Style.RESET_ALL,
}
score = 0
tile_grid = {}
i.run_until_input()
iteration = 0
while True:
while len(i.queue[1]):
for n in range(3):
op = i.queue[1].pop(0)
if n == 0:
x = op
elif n == 1:
y = op
elif x == -1 and y == 0:
score = op
else:
tile_grid[(x, y)] = op
if i.run_until_input():
break
else:
if iteration == 0: # first frame
sl = [cursor(0,0) + colorama.Fore.CYAN \
+ colorama.Style.BRIGHT + str(score).rjust(41, " ") \
+ " " + colorama.Style.RESET_ALL]
for y in range(0, 25):
l = []
for x in range(0, 42):
l.append(CHARS[tile_grid.get((x, y), 0)])
sl.append(l)
for rows in range(3, 20): # Exclude score row & wall
for cols in range(1, 42, 4): # Exclude walls
scut = sl[:rows]
scut[-1] = scut[-1][:cols]
while len(scut[-1]) < 41: scut[-1].append(" ")
scut[-1].append(CHARS[1])
while len(scut) < 26: scut.append(ROW_TWOWALL)
print(cursor(0,0) + "\n".join(
["".join(r) for r in scut]), end="")
print(cursor(0,0) + "\n".join(
["".join(r) for r in sl]), end="")
time.sleep(0.5)
if True: # every frame
s = cursor(0,0) + colorama.Fore.CYAN \
+ colorama.Style.BRIGHT + str(score).rjust(41, " ") \
+ " " + colorama.Style.RESET_ALL + "\n"
for y in range(0, 25):
for x in range(0, 42):
s += CHARS[tile_grid.get((x, y), 0)]
s += "\n"
print(s, end="")
#inp = input("> ").lower()
#if inp in ["a", "l", "-1"]:
# i.queue[0].append(-1)
#elif inp in ["d", "r", "1", "+1"]:
# i.queue[0].append(+1)
#else: # default to neutral - " ", "s", "w", "n", "0"
# i.queue[0].append(0)
# -- USE MEMORY HACKS --
#i.queue[0].append(0)
#rap = list(i.memory)[639+42*23:639+42*24] # row above paddle
#if 4 in rap:
# rwp = list(i.memory)[639+42*24:639+42*25] # row with paddle
# i.memory[639+42*24+rwp.index(3)] = 0 # delete old paddle
# i.memory[639+42*24+rap.index(4)] = 3 # move paddle under ball
# -- USE TOO-HIGH NUMBER --
for n in range(1, 24):
rwb = list(i.memory)[639+42*n:639+42*(n+1)] # row with ball
if 4 in rwb: break
rwp = list(i.memory)[639+42*24:639+42*25] # row with paddle
i.queue[0].append(rwb.index(4) - rwp.index(3)) # move paddle under ball
# -------------------
i.run_until_input()
iteration += 1
while True:
for x in range(0, 2):
brdm = colorama.Style.BRIGHT if x == 0 else colorama.Style.DIM
s = cursor(0,0) + colorama.Fore.CYAN + brdm \
+ str(score).rjust(41, " ") + " " + colorama.Style.RESET_ALL + "\n"
for y in range(0, 25):
for x in range(0, 42):
s += CHARS[tile_grid.get((x, y), 0)]
s += "\n"
s += "\n"
print(s, end="")
time.sleep(0.5)
| 84.093458
| 7,674
| 0.484108
| 4,015
| 17,996
| 2.131009
| 0.078705
| 0.100748
| 0.111501
| 0.128565
| 0.505259
| 0.457574
| 0.432211
| 0.409187
| 0.401356
| 0.394226
| 0
| 0.36323
| 0.241665
| 17,996
| 213
| 7,675
| 84.488263
| 0.263721
| 0.038842
| 0
| 0.553763
| 0
| 0.112903
| 0.752346
| 0.452508
| 0
| 0
| 0
| 0
| 0
| 1
| 0.010753
| false
| 0.005376
| 0.016129
| 0.005376
| 0.026882
| 0.048387
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 5
|
d59bcbcf157c342c4c3ae8e2b67a6d5833fe44e4
| 188
|
py
|
Python
|
docsie_universal_importer/providers/dropbox/urls.py
|
LikaloLLC/docsie-universal-doc-importer
|
8db9c705971c71f0152b0d4177ea6eb241021843
|
[
"BSD-3-Clause"
] | null | null | null |
docsie_universal_importer/providers/dropbox/urls.py
|
LikaloLLC/docsie-universal-doc-importer
|
8db9c705971c71f0152b0d4177ea6eb241021843
|
[
"BSD-3-Clause"
] | 16
|
2021-06-16T15:00:41.000Z
|
2021-06-30T11:57:15.000Z
|
docsie_universal_importer/providers/dropbox/urls.py
|
LikaloLLC/docsie-universal-doc-importer
|
8db9c705971c71f0152b0d4177ea6eb241021843
|
[
"BSD-3-Clause"
] | 1
|
2021-11-17T19:24:45.000Z
|
2021-11-17T19:24:45.000Z
|
from docsie_universal_importer.providers.base.urls import default_urlpatterns
from .import_provider import DropboxOAuth2Provider
urlpatterns = default_urlpatterns(DropboxOAuth2Provider)
| 31.333333
| 77
| 0.893617
| 19
| 188
| 8.578947
| 0.631579
| 0.220859
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011429
| 0.069149
| 188
| 5
| 78
| 37.6
| 0.92
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
| 1
| 0
|
0
| 5
|
d59fd2d6da9c09172cd192f955cab61225beac2d
| 9,072
|
py
|
Python
|
iliad/integrators/stateful/softabs_euler.py
|
JamesBrofos/Iliad
|
2220e1e519f479e402072f80f4bc67e419842c4e
|
[
"MIT"
] | 1
|
2022-03-24T20:32:54.000Z
|
2022-03-24T20:32:54.000Z
|
iliad/integrators/stateful/softabs_euler.py
|
JamesBrofos/Iliad
|
2220e1e519f479e402072f80f4bc67e419842c4e
|
[
"MIT"
] | null | null | null |
iliad/integrators/stateful/softabs_euler.py
|
JamesBrofos/Iliad
|
2220e1e519f479e402072f80f4bc67e419842c4e
|
[
"MIT"
] | null | null | null |
import copy
from typing import Tuple
import numpy as np
from odyssey.distribution import Distribution
from iliad.integrators.info import SoftAbsLeapfrogInfo
from iliad.integrators.states import SoftAbsLeapfrogState
from iliad.integrators.terminal import cond
from iliad.integrators.fields import riemannian, softabs
def momentum_step(
val: Tuple[np.ndarray, np.ndarray, int],
step_size: float,
state: SoftAbsLeapfrogState,
) -> Tuple[np.ndarray, np.ndarray, int]:
"""Computes the update to the momentum variable using the equations of motion
determined by the SoftAbs metric.
Args:
val: A tuple containing the current guess for the fixed point of the
momentum, the difference between the momentum at this fixed point
iteration and the last, and the number of fixed point iterations
considered so far.
step_size: The integration step-size.
state: The current state of the SoftAbs metric system.
Returns:
pm: The updated momentum variable.
delta: The difference between the updated momentum variable and the
guess.
num_iters: The number of fixed point iterations attempted so far.
"""
pmcand, _, num_iters = val
f = softabs.force(pmcand,
state.grad_log_posterior,
state.jac_hessian,
state.hessian_eigenvals,
state.softabs_eigenvals,
state.softabs_inv_eigenvals,
state.hessian_eigenvecs,
state.alpha)
pm = state.momentum + step_size * f
delta = pm - pmcand
num_iters += 1
return pm, delta, num_iters
def position_step(
val: Tuple[np.ndarray, np.ndarray, int],
step_size: float,
distr: Distribution,
state: SoftAbsLeapfrogState,
) -> Tuple[np.ndarray, np.ndarray, int]:
"""Computes the update to the position variable using the equations of motion
determined by the SoftAbs metric.
Args:
val: A tuple containing the current guess for the fixed point of the
position, the difference between the position at this fixed point
iteration and the last, and the number of fixed point iterations
considered so far.
step_size: The integration step-size.
distr: The distribution that guides the time evolution of the Euclidean
Hamiltonian trajectory.
state: The current state of the SoftAbs metric system.
Returns:
qn: The updated momentum variable.
delta; The difference between the updated position variable and the
guess.
num_iters: The number of fixed point iterations attempted so far.
"""
qncand, _, num_iters = val
H = distr.hessian(qncand)
l, U, lt, inv_lt, metric, inv_metric = softabs.decomposition(H, state.alpha)
newvel = inv_metric@state.momentum
qn = state.position + step_size * newvel
delta = qn - qncand
num_iters += 1
return qn, delta, num_iters
def euler_a_single_step(
distr: Distribution,
state: SoftAbsLeapfrogState,
info: SoftAbsLeapfrogInfo,
step_size: float,
thresh: float,
max_iters: int,
) -> Tuple[SoftAbsLeapfrogState, SoftAbsLeapfrogInfo]:
"""The Euler-A integrator is a symplectic map that integrates Hamilton's
equations of motion for a general non-separable
Hamiltonian. It updates the position implicitly and then computes an
explicit update to the momentum variable.
Args:
distr: The distribution that guides the time evolution of the Euclidean
Hamiltonian trajectory.
state: An object containing the position and momentum variables of the
state in phase space, and possibly previously computed log-posterior,
metrics, and gradients.
info: An object that keeps track of the number of fixed point iterations
and whether or not integration has been successful.
step_size: Integration step-size.
thresh: Convergence tolerance for fixed point iterations.
max_iters: Maximum number of fixed point iterations.
Returns:
state: An augmented state object with the updated position and momentum
and values for the log-posterior and metric and their gradients.
info: An augmented information object with the updated number of fixed
point iterations and boolean indicator for successful integration.
"""
# Unpack the position and momentum.
qo, po = state.position, state.momentum
num_dims = len(qo)
# Precompute the initial difference vector, which is set to be an array of
# infinite values.
delta = np.inf*np.ones(num_dims)
# Fixed point iteration to solve the implicit update to the position.
val = (qo + step_size*state.velocity, delta, 0)
while cond(val, thresh, max_iters):
val = position_step(val, step_size, distr, state)
qn, delta, num_iters = val
success = np.max(np.abs(delta)) < thresh
# Update the state with the new position and compute the updated momentum.
state.position = qn
state.update(distr)
state.momentum += step_size*state.force
info.num_iters_pos += num_iters
info.success &= success
return state, info
def euler_b_single_step(
distr: Distribution,
state: SoftAbsLeapfrogState,
info: SoftAbsLeapfrogInfo,
step_size: float,
thresh: float,
max_iters: int,
) -> Tuple[SoftAbsLeapfrogState, SoftAbsLeapfrogInfo]:
"""The Euler-B integrator is a symplectic map that integrates Hamilton's
equations of motion for a general non-separable Hamiltonian. It updates the
momentum implicitly and then computes an explicit update to the position
variable.
Args:
distr: The distribution that guides the time evolution of the Euclidean
Hamiltonian trajectory.
state: An object containing the position and momentum variables of the
state in phase space, and possibly previously computed log-posterior,
metrics, and gradients.
info: An object that keeps track of the number of fixed point iterations
and whether or not integration has been successful.
step_size: Integration step-size.
thresh: Convergence tolerance for fixed point iterations.
max_iters: Maximum number of fixed point iterations.
Returns:
state: An augmented state object with the updated position and momentum
and values for the log-posterior and metric and their gradients.
info: An augmented information object with the updated number of fixed
point iterations and boolean indicator for successful integration.
"""
# Unpack the position and momentum.
qo, po = state.position, state.momentum
num_dims = len(qo)
# Precompute the initial difference vector, which is set to be an array of
# infinite values.
delta = np.inf*np.ones(num_dims)
# Fixed point iteration to solve the implicit update to the momentum.
val = (po + step_size*state.force, delta, 0)
while cond(val, thresh, max_iters):
val = momentum_step(val, step_size, state)
pn, delta, num_iters = val
vn = state.inv_metric@pn
success = np.max(np.abs(delta)) < thresh
# Update the state's new position.
state.momentum = pn
state.velocity = vn
state.position += step_size*vn
state.update(distr)
info.num_iters_mom += num_iters
info.success &= success
return state, info
def softabs_euler_a(
state: SoftAbsLeapfrogState,
step_size: float,
num_steps: int,
distr: Distribution,
thresh: float,
max_iters: int,
) -> Tuple[SoftAbsLeapfrogState, SoftAbsLeapfrogInfo]:
state = copy.copy(state)
info = SoftAbsLeapfrogInfo()
for i in range(num_steps):
state, info = euler_a_single_step(
distr,
state,
info,
step_size,
thresh,
max_iters,
)
L = np.linalg.cholesky(state.metric)
state.velocity = state.inv_metric.dot(state.momentum)
state.sqrtm_metric = L
state.logdet_metric = 2.0*np.sum(np.log(np.diag(L)))
return state, info
def softabs_euler_b(
state: SoftAbsLeapfrogState,
step_size: float,
num_steps: int,
distr: Distribution,
thresh: float,
max_iters: int,
) -> Tuple[SoftAbsLeapfrogState, SoftAbsLeapfrogInfo]:
state = copy.copy(state)
info = SoftAbsLeapfrogInfo()
for i in range(num_steps):
state, info = euler_b_single_step(
distr,
state,
info,
step_size,
thresh,
max_iters,
)
L = np.linalg.cholesky(state.metric)
state.velocity = state.inv_metric.dot(state.momentum)
state.sqrtm_metric = L
state.logdet_metric = 2.0*np.sum(np.log(np.diag(L)))
return state, info
| 37.028571
| 81
| 0.666777
| 1,139
| 9,072
| 5.22827
| 0.166813
| 0.032242
| 0.040302
| 0.030227
| 0.788245
| 0.780521
| 0.775987
| 0.775987
| 0.775987
| 0.734005
| 0
| 0.00121
| 0.271054
| 9,072
| 244
| 82
| 37.180328
| 0.899289
| 0.463183
| 0
| 0.619403
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.044776
| false
| 0
| 0.059701
| 0
| 0.149254
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 5
|
63389c79b88b385041f88940082d14d787e5f0f8
| 443
|
py
|
Python
|
djecommerce/settings/production.py
|
IHIMEKPEN/Pegasus
|
572e2af1f2bcd34f4d1a126a2225ee57cbfabd69
|
[
"MIT"
] | null | null | null |
djecommerce/settings/production.py
|
IHIMEKPEN/Pegasus
|
572e2af1f2bcd34f4d1a126a2225ee57cbfabd69
|
[
"MIT"
] | null | null | null |
djecommerce/settings/production.py
|
IHIMEKPEN/Pegasus
|
572e2af1f2bcd34f4d1a126a2225ee57cbfabd69
|
[
"MIT"
] | null | null | null |
from .base import *
DEBUG = config('DEBUG', cast=bool)
ALLOWED_HOSTS = ['*']
AUTH_PASSWORD_VALIDATORS = [
{'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator'},
{'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator'},
{'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator'},
{'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator'}
]
| 34.076923
| 89
| 0.758465
| 41
| 443
| 8.02439
| 0.487805
| 0.182371
| 0.206687
| 0.255319
| 0.474164
| 0.474164
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094808
| 443
| 12
| 90
| 36.916667
| 0.820449
| 0
| 0
| 0
| 0
| 0
| 0.640271
| 0.590498
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.555556
| 0.111111
| 0
| 0.111111
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
634127c132f83e8d628f2b778cf43248b08ac691
| 82
|
py
|
Python
|
server/equationObject.py
|
petnica-rac-seminari/stunning-calculator-2021
|
a438e96fa1fc5c152f2cc954653d813e163fc22c
|
[
"MIT"
] | 1
|
2021-11-05T18:51:13.000Z
|
2021-11-05T18:51:13.000Z
|
server/equationObject.py
|
petnica-rac-seminari/stunning-calculator-2021
|
a438e96fa1fc5c152f2cc954653d813e163fc22c
|
[
"MIT"
] | null | null | null |
server/equationObject.py
|
petnica-rac-seminari/stunning-calculator-2021
|
a438e96fa1fc5c152f2cc954653d813e163fc22c
|
[
"MIT"
] | null | null | null |
from pydantic import BaseModel
class EquationObject(BaseModel):
equation: str
| 20.5
| 32
| 0.804878
| 9
| 82
| 7.333333
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146341
| 82
| 4
| 33
| 20.5
| 0.942857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
6377eebb2cce1865b526d1e3e109d9b40686e838
| 123
|
py
|
Python
|
test/__init__.py
|
KnowledgeCaptureAndDiscovery/sosen
|
5a3efb67cb8de04e85dc47a041693d3e671d4ca6
|
[
"Apache-2.0"
] | 4
|
2020-06-13T15:40:20.000Z
|
2020-09-21T02:09:29.000Z
|
test/__init__.py
|
KnowledgeCaptureAndDiscovery/sosen
|
5a3efb67cb8de04e85dc47a041693d3e671d4ca6
|
[
"Apache-2.0"
] | 18
|
2020-06-23T00:00:14.000Z
|
2021-07-07T10:43:27.000Z
|
test/__init__.py
|
KnowledgeCaptureAndDiscovery/sosen
|
5a3efb67cb8de04e85dc47a041693d3e671d4ca6
|
[
"Apache-2.0"
] | null | null | null |
import unittest
from .test_data_to_graph import *
from .end_to_end import *
if __name__ == "__main__":
unittest.main()
| 20.5
| 33
| 0.747967
| 18
| 123
| 4.388889
| 0.611111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154472
| 123
| 6
| 34
| 20.5
| 0.759615
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
63c1af2604223a350ec25c689f4539fe3c6841ce
| 337
|
py
|
Python
|
object_store_sdk/client.py
|
easyopsapis/easyops-api-python
|
adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0
|
[
"Apache-2.0"
] | 5
|
2019-07-31T04:11:05.000Z
|
2021-01-07T03:23:20.000Z
|
object_store_sdk/client.py
|
easyopsapis/easyops-api-python
|
adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0
|
[
"Apache-2.0"
] | null | null | null |
object_store_sdk/client.py
|
easyopsapis/easyops-api-python
|
adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
import object_store_sdk.api.object_store.object_store_client
class Client(object):
def __init__(self, server_ip="", server_port=0, service_name=""):
self.object_store = object_store_sdk.api.object_store.object_store_client.ObjectStoreClient(server_ip, server_port, service_name)
| 28.083333
| 137
| 0.72997
| 45
| 337
| 5
| 0.444444
| 0.342222
| 0.226667
| 0.293333
| 0.4
| 0.4
| 0.4
| 0.4
| 0.4
| 0
| 0
| 0.007042
| 0.15727
| 337
| 11
| 138
| 30.636364
| 0.785211
| 0.062315
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 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
| 1
| 0
|
0
| 5
|
8960c97e16d08772630c4388ec57102ca2e16343
| 112
|
py
|
Python
|
modeler/api/__init__.py
|
yngtodd/modeler
|
30c32687eed1aca01e0249e2ee5d1a8e9c52eace
|
[
"MIT"
] | null | null | null |
modeler/api/__init__.py
|
yngtodd/modeler
|
30c32687eed1aca01e0249e2ee5d1a8e9c52eace
|
[
"MIT"
] | null | null | null |
modeler/api/__init__.py
|
yngtodd/modeler
|
30c32687eed1aca01e0249e2ee5d1a8e9c52eace
|
[
"MIT"
] | null | null | null |
from .node import (
Node, HierarchicalNode
)
from .interaction import Interaction
from .scene import Scene
| 16
| 36
| 0.767857
| 13
| 112
| 6.615385
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178571
| 112
| 6
| 37
| 18.666667
| 0.934783
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
89689307b6e6d0e13d250f40976739bfe45fcce5
| 152
|
py
|
Python
|
tests/docs/test_async_constructor.py
|
adriangb/di
|
f277bb7189c8e8bde41170afb3181e6600b06be8
|
[
"MIT"
] | 57
|
2021-09-28T00:48:08.000Z
|
2022-03-16T16:50:39.000Z
|
tests/docs/test_async_constructor.py
|
adriangb/di
|
f277bb7189c8e8bde41170afb3181e6600b06be8
|
[
"MIT"
] | 59
|
2021-09-25T00:06:22.000Z
|
2022-03-31T15:49:36.000Z
|
tests/docs/test_async_constructor.py
|
adriangb/di
|
f277bb7189c8e8bde41170afb3181e6600b06be8
|
[
"MIT"
] | 3
|
2021-12-31T10:03:03.000Z
|
2021-12-31T16:07:54.000Z
|
import pytest
from docs_src.async_constructor import main
@pytest.mark.anyio("asyncio")
async def test_async_constructor() -> None:
await main()
| 16.888889
| 43
| 0.763158
| 21
| 152
| 5.333333
| 0.714286
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138158
| 152
| 8
| 44
| 19
| 0.854962
| 0
| 0
| 0
| 0
| 0
| 0.046053
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 5
|
8976d16e102ca14294269632b6ece9c997565d20
| 1,311
|
py
|
Python
|
test/unittests/test_AnimalN.py
|
mudkipmaster/gwlf-e
|
9e058445537dd32d1916f76c4b73ca64261771cd
|
[
"Apache-2.0"
] | null | null | null |
test/unittests/test_AnimalN.py
|
mudkipmaster/gwlf-e
|
9e058445537dd32d1916f76c4b73ca64261771cd
|
[
"Apache-2.0"
] | 6
|
2018-07-24T22:46:28.000Z
|
2018-07-29T19:13:09.000Z
|
test/unittests/test_AnimalN.py
|
mudkipmaster/gwlf-e
|
9e058445537dd32d1916f76c4b73ca64261771cd
|
[
"Apache-2.0"
] | 1
|
2018-07-24T18:22:01.000Z
|
2018-07-24T18:22:01.000Z
|
import numpy as np
from VariableUnittest import VariableUnitTest
from gwlfe.Output.AvAnimalNSum import AnimalN
class TestAnimalN(VariableUnitTest):
def test_AnimalN(self):
z = self.z
np.testing.assert_array_almost_equal(
AnimalN.AnimalN_f(z.NYrs, z.NGPctManApp, z.GrazingAnimal_0, z.NumAnimals, z.AvgAnimalWt, z.AnimalDailyN,
z.NGAppNRate, z.Prec, z.DaysMonth,
z.NGPctSoilIncRate, z.GRPctManApp, z.GRAppNRate, z.GRPctSoilIncRate, z.NGBarnNRate,
z.AWMSNgPct, z.NgAWMSCoeffN,
z.RunContPct, z.RunConCoeffN, z.PctGrazing, z.GRBarnNRate, z.AWMSGrPct, z.GrAWMSCoeffN,
z.PctStreams, z.GrazingNRate),
AnimalN.AnimalN(z.NYrs, z.NGPctManApp, z.GrazingAnimal_0, z.NumAnimals, z.AvgAnimalWt, z.AnimalDailyN,
z.NGAppNRate, z.Prec, z.DaysMonth,
z.NGPctSoilIncRate, z.GRPctManApp, z.GRAppNRate, z.GRPctSoilIncRate, z.NGBarnNRate,
z.AWMSNgPct, z.NgAWMSCoeffN,
z.RunContPct, z.RunConCoeffN, z.PctGrazing, z.GRBarnNRate, z.AWMSGrPct, z.GrAWMSCoeffN,
z.PctStreams, z.GrazingNRate), decimal=7)
| 57
| 117
| 0.601068
| 135
| 1,311
| 5.785185
| 0.362963
| 0.012804
| 0.015365
| 0.043534
| 0.717029
| 0.717029
| 0.717029
| 0.717029
| 0.717029
| 0.717029
| 0
| 0.003315
| 0.309687
| 1,311
| 22
| 118
| 59.590909
| 0.859669
| 0
| 0
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 1
| 0.052632
| false
| 0
| 0.157895
| 0
| 0.263158
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
| 5
|
89a58a1846906edbfdde012d125821a0afd62e44
| 191
|
py
|
Python
|
matplotlib-tuxing.py
|
jinghuquan/jing2019-1-7
|
ccd1f47bd1bbbe9df8ca747a1716a168724645f3
|
[
"MIT"
] | null | null | null |
matplotlib-tuxing.py
|
jinghuquan/jing2019-1-7
|
ccd1f47bd1bbbe9df8ca747a1716a168724645f3
|
[
"MIT"
] | null | null | null |
matplotlib-tuxing.py
|
jinghuquan/jing2019-1-7
|
ccd1f47bd1bbbe9df8ca747a1716a168724645f3
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
plt.rcParams['font.sans-aerif'] = ['SimHei'] # 用来正常显示中文标签
dete = ['2018/7/21', '2018/7/22', '2018/7/23', '2018/7/24', '2018/7/25', '2018/7/26', '2018/7/21']
| 38.2
| 98
| 0.628272
| 34
| 191
| 3.529412
| 0.588235
| 0.291667
| 0.116667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.28655
| 0.104712
| 191
| 5
| 98
| 38.2
| 0.415205
| 0.052356
| 0
| 0
| 0
| 0
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 5
|
982406bef6487190b7c376e72a6a1801186677b9
| 207
|
py
|
Python
|
addons/mendeley/views.py
|
gaybro8777/osf.io
|
30408511510a40bc393565817b343ef5fd76ab14
|
[
"Apache-2.0"
] | 628
|
2015-01-15T04:33:22.000Z
|
2022-03-30T06:40:10.000Z
|
addons/mendeley/views.py
|
gaybro8777/osf.io
|
30408511510a40bc393565817b343ef5fd76ab14
|
[
"Apache-2.0"
] | 4,712
|
2015-01-02T01:41:53.000Z
|
2022-03-30T14:18:40.000Z
|
addons/mendeley/views.py
|
Johnetordoff/osf.io
|
de10bf249c46cede04c78f7e6f7e352c69e6e6b5
|
[
"Apache-2.0"
] | 371
|
2015-01-12T16:14:08.000Z
|
2022-03-31T18:58:29.000Z
|
# -*- coding: utf-8 -*-
from .provider import MendeleyCitationsProvider
from website.citations.views import GenericCitationViews
mendeley_views = GenericCitationViews('mendeley', MendeleyCitationsProvider)
| 34.5
| 76
| 0.826087
| 18
| 207
| 9.444444
| 0.666667
| 0.329412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005291
| 0.086957
| 207
| 5
| 77
| 41.4
| 0.89418
| 0.101449
| 0
| 0
| 0
| 0
| 0.043478
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
| 1
| 0
|
0
| 5
|
985ae5e5fab9906b35fcc63215a4454b16e701b9
| 148
|
py
|
Python
|
__init__.py
|
dx1983/qgis-server-font-loader
|
70864cd73fc801f48959586cd73222a5a53fb6c9
|
[
"MIT"
] | 2
|
2020-03-20T22:11:01.000Z
|
2020-03-30T13:29:24.000Z
|
__init__.py
|
dx1983/qgis-server-font-loader
|
70864cd73fc801f48959586cd73222a5a53fb6c9
|
[
"MIT"
] | 1
|
2019-12-09T11:50:32.000Z
|
2019-12-09T11:50:32.000Z
|
__init__.py
|
dx1983/qgis-server-font-loader
|
70864cd73fc801f48959586cd73222a5a53fb6c9
|
[
"MIT"
] | 1
|
2019-09-18T14:18:58.000Z
|
2019-09-18T14:18:58.000Z
|
# -*- coding: utf-8 -*-
def serverClassFactory(serverIface):
from .FontLoader import FontLoaderServer
return FontLoaderServer(serverIface)
| 24.666667
| 44
| 0.75
| 13
| 148
| 8.538462
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007937
| 0.148649
| 148
| 5
| 45
| 29.6
| 0.873016
| 0.141892
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
985fcbf557c4a3a96c93db1fd6cbf0f34388424a
| 2,865
|
py
|
Python
|
views/__init__.py
|
darshanshewale/facerecognition
|
4c38af9fa80cc429b543301f56bad89cf4575e0c
|
[
"MIT"
] | 66
|
2020-05-13T08:31:30.000Z
|
2022-02-07T09:14:36.000Z
|
views/__init__.py
|
darshanshewale/facerecognition
|
4c38af9fa80cc429b543301f56bad89cf4575e0c
|
[
"MIT"
] | 2
|
2020-10-05T14:31:19.000Z
|
2021-05-02T01:09:34.000Z
|
views/__init__.py
|
darshanshewale/facerecognition
|
4c38af9fa80cc429b543301f56bad89cf4575e0c
|
[
"MIT"
] | 54
|
2020-05-17T17:23:36.000Z
|
2022-03-31T10:02:44.000Z
|
from flask import render_template, request, redirect, url_for, session
from app import app
from model import *
@app.route('/', methods=["GET"])
def home():
if "username" in session:
return render_template('index.html')
else:
return render_template('login.html')
# Register new user
@app.route('/register', methods=["GET", "POST"])
def register():
if request.method == "GET":
return render_template("register.html")
elif request.method == "POST":
registerUser()
return redirect(url_for("login"))
#Check if email already exists in the registratiion page
@app.route('/checkusername', methods=["POST"])
def check():
return checkusername()
# Everything Login (Routes to renderpage, check if username exist and also verifypassword through Jquery AJAX request)
@app.route('/login', methods=["GET"])
def login():
if request.method == "GET":
if "username" not in session:
return render_template("login.html")
else:
return redirect(url_for("home"))
@app.route('/checkloginusername', methods=["POST"])
def checkUserlogin():
return checkloginusername()
@app.route('/checkloginpassword', methods=["POST"])
def checkUserpassword():
return checkloginpassword()
#The admin logout
@app.route('/logout', methods=["GET"]) # URL for logout
def logout(): # logout function
session.pop('username', None) # remove user session
return redirect(url_for("home")) # redirect to home page with message
#Forgot Password
@app.route('/forgot-password', methods=["GET"])
def forgotpassword():
return render_template('forgot-password.html')
#404 Page
@app.route('/404', methods=["GET"])
def errorpage():
return render_template("404.html")
#Blank Page
@app.route('/blank', methods=["GET"])
def blank():
return render_template('blank.html')
#Buttons Page
@app.route('/buttons', methods=["GET"])
def buttons():
return render_template("buttons.html")
#Cards Page
@app.route('/cards', methods=["GET"])
def cards():
return render_template('cards.html')
#Charts Page
@app.route('/charts', methods=["GET"])
def charts():
return render_template("charts.html")
#Tables Page
@app.route('/tables', methods=["GET"])
def tables():
return render_template("tables.html")
#Utilities-animation
@app.route('/utilities-animation', methods=["GET"])
def utilitiesanimation():
return render_template("utilities-animation.html")
#Utilities-border
@app.route('/utilities-border', methods=["GET"])
def utilitiesborder():
return render_template("utilities-border.html")
#Utilities-color
@app.route('/utilities-color', methods=["GET"])
def utilitiescolor():
return render_template("utilities-color.html")
#utilities-other
@app.route('/utilities-other', methods=["GET"])
def utilitiesother():
return render_template("utilities-other.html")
| 27.548077
| 118
| 0.693543
| 344
| 2,865
| 5.718023
| 0.241279
| 0.073208
| 0.152517
| 0.058973
| 0.073208
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00367
| 0.144154
| 2,865
| 103
| 119
| 27.815534
| 0.798532
| 0.151134
| 0
| 0.086957
| 0
| 0
| 0.21393
| 0.018657
| 0
| 0
| 0
| 0
| 0
| 1
| 0.26087
| true
| 0.086957
| 0.043478
| 0.202899
| 0.608696
| 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
| 1
| 1
| 0
| 1
| 1
| 0
|
0
| 5
|
986aee8d089b1b4e1657cf289df6ac77af06606b
| 172
|
py
|
Python
|
clubadmin/config/memadmin.py
|
rpmoseley/clubadmin
|
35d0094ea5e97e8478ca021ab8e422cebbc26263
|
[
"MIT"
] | null | null | null |
clubadmin/config/memadmin.py
|
rpmoseley/clubadmin
|
35d0094ea5e97e8478ca021ab8e422cebbc26263
|
[
"MIT"
] | null | null | null |
clubadmin/config/memadmin.py
|
rpmoseley/clubadmin
|
35d0094ea5e97e8478ca021ab8e422cebbc26263
|
[
"MIT"
] | null | null | null |
'''
This module provides the configuration information for the database used by the
memadmin sub-package of the ClubAdmin package.
'''
from .options import DefaultOptions
| 24.571429
| 79
| 0.802326
| 23
| 172
| 6
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145349
| 172
| 6
| 80
| 28.666667
| 0.938776
| 0.732558
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 5
|
987bfba07c3fe2b397548a2e702f0a9f745d4301
| 40
|
py
|
Python
|
bot/__init__.py
|
SmartManoj/run-py-bot
|
50a8081f4641e2f28eed2045980b769286d583f7
|
[
"MIT"
] | null | null | null |
bot/__init__.py
|
SmartManoj/run-py-bot
|
50a8081f4641e2f28eed2045980b769286d583f7
|
[
"MIT"
] | null | null | null |
bot/__init__.py
|
SmartManoj/run-py-bot
|
50a8081f4641e2f28eed2045980b769286d583f7
|
[
"MIT"
] | null | null | null |
'''Run Python Code on Telegram [BOT]'''
| 20
| 39
| 0.65
| 6
| 40
| 4.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 40
| 1
| 40
| 40
| 0.764706
| 0.825
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 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
| 5
|
7f33705e60b51074500793c86dc70434d8862fd6
| 1,808
|
py
|
Python
|
plenum/test/cli/mock_output.py
|
steptan/indy-plenum
|
488bf63c82753a74a92ac6952da784825ffd4a3d
|
[
"Apache-2.0"
] | null | null | null |
plenum/test/cli/mock_output.py
|
steptan/indy-plenum
|
488bf63c82753a74a92ac6952da784825ffd4a3d
|
[
"Apache-2.0"
] | null | null | null |
plenum/test/cli/mock_output.py
|
steptan/indy-plenum
|
488bf63c82753a74a92ac6952da784825ffd4a3d
|
[
"Apache-2.0"
] | 2
|
2017-12-13T21:14:54.000Z
|
2021-06-06T15:48:03.000Z
|
from prompt_toolkit.output import Output
class MockOutput(Output):
def __init__(self, recorder=None):
self.writes = []
self.recorder = recorder
def fileno(self):
raise NotImplementedError
def cursor_up(self, amount):
raise NotImplementedError
def erase_screen(self):
raise NotImplementedError
def hide_cursor(self):
raise NotImplementedError
def set_attributes(self, attrs):
pass
def enable_mouse_support(self):
raise NotImplementedError
def clear_title(self):
raise NotImplementedError
def quit_alternate_screen(self):
raise NotImplementedError
def enable_autowrap(self):
pass
def erase_end_of_line(self):
raise NotImplementedError
def cursor_backward(self, amount):
raise NotImplementedError
def flush(self):
pass
def disable_autowrap(self):
raise NotImplementedError
def erase_down(self):
raise NotImplementedError
def cursor_forward(self, amount):
raise NotImplementedError
def cursor_goto(self, row=0, column=0):
raise NotImplementedError
def disable_mouse_support(self):
raise NotImplementedError
def show_cursor(self):
raise NotImplementedError
def cursor_down(self, amount):
raise NotImplementedError
def enter_alternate_screen(self):
raise NotImplementedError
def set_title(self, title):
raise NotImplementedError
def write_raw(self, data):
raise NotImplementedError
def write(self, data):
self.writes.append(data)
if self.recorder:
self.recorder.write(data)
def reset_attributes(self):
pass
def scroll_buffer_to_prompt(self):
pass
| 21.270588
| 43
| 0.667588
| 190
| 1,808
| 6.168421
| 0.3
| 0.389079
| 0.437713
| 0.317406
| 0.477816
| 0.151877
| 0
| 0
| 0
| 0
| 0
| 0.001516
| 0.270465
| 1,808
| 84
| 44
| 21.52381
| 0.887036
| 0
| 0
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.45614
| false
| 0.087719
| 0.017544
| 0
| 0.491228
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 5
|
7f46362d80cf6fead566192dc045614cf4e69cb1
| 502
|
py
|
Python
|
src/node/typing.py
|
onurkaraman/perseus
|
0adbacf4d98ac1ee20319be3e4189ebe6fb3ba94
|
[
"MIT"
] | 3
|
2015-09-03T23:35:21.000Z
|
2021-02-28T13:13:59.000Z
|
src/node/typing.py
|
onurkaraman/perseus
|
0adbacf4d98ac1ee20319be3e4189ebe6fb3ba94
|
[
"MIT"
] | null | null | null |
src/node/typing.py
|
onurkaraman/perseus
|
0adbacf4d98ac1ee20319be3e4189ebe6fb3ba94
|
[
"MIT"
] | 1
|
2016-07-05T16:55:45.000Z
|
2016-07-05T16:55:45.000Z
|
import types
def getClassName(object):
return object.__class__.__name__
def isList(object):
return type(object) == types.ListType
def isPrimitive(object):
return type(object) in {types.IntType, types.StringType, types.FloatType}
def isNone(object):
return type(object) == types.NoneType
def isBoolean(object):
return type(object) == types.BooleanType
def isExpressionContext(object):
return getClassName(object) in {'Load', 'Store', 'Del', 'AugLoad', 'AugStore', 'Param'}
| 25.1
| 91
| 0.7251
| 59
| 502
| 6.033898
| 0.457627
| 0.202247
| 0.179775
| 0.247191
| 0.227528
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145418
| 502
| 19
| 92
| 26.421053
| 0.829837
| 0
| 0
| 0
| 0
| 0
| 0.063745
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.461538
| false
| 0
| 0.076923
| 0.461538
| 1
| 0
| 0
| 0
| 0
| null | 1
| 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
| 5
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.