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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
362cfeb6625a1868c16693fe58fdcaea1fbf2448
| 115
|
py
|
Python
|
pylearn2/sandbox/nlp/__init__.py
|
ikervazquezlopez/Pylearn2
|
2971e8f64374ffde572d4cf967aad5342beaf5e0
|
[
"BSD-3-Clause"
] | 2,045
|
2015-01-01T14:07:52.000Z
|
2022-03-08T08:56:41.000Z
|
pylearn2/sandbox/nlp/__init__.py
|
ikervazquezlopez/Pylearn2
|
2971e8f64374ffde572d4cf967aad5342beaf5e0
|
[
"BSD-3-Clause"
] | 305
|
2015-01-02T13:18:24.000Z
|
2021-08-20T18:03:28.000Z
|
pylearn2/sandbox/nlp/__init__.py
|
ikervazquezlopez/Pylearn2
|
2971e8f64374ffde572d4cf967aad5342beaf5e0
|
[
"BSD-3-Clause"
] | 976
|
2015-01-01T17:08:51.000Z
|
2022-03-25T19:53:17.000Z
|
"""
Sandbox for developing natural language processing (NLP) tools for
Pylearn2, including datasets and models
"""
| 23
| 66
| 0.782609
| 14
| 115
| 6.428571
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010101
| 0.13913
| 115
| 4
| 67
| 28.75
| 0.89899
| 0.921739
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
364bc697960e50cb56a8384dae410c8db71f070b
| 191
|
py
|
Python
|
common/utils.py
|
yovelcohen/ccl
|
ba2abe609110f21f1db7c0c95f785e4010df8abd
|
[
"MIT"
] | null | null | null |
common/utils.py
|
yovelcohen/ccl
|
ba2abe609110f21f1db7c0c95f785e4010df8abd
|
[
"MIT"
] | null | null | null |
common/utils.py
|
yovelcohen/ccl
|
ba2abe609110f21f1db7c0c95f785e4010df8abd
|
[
"MIT"
] | null | null | null |
def smart_truncate(content, length=120, suffix='...'):
if len(content) <= length:
return content
else:
return ' '.join(content[:length + 1].split(' ')[0:-1]) + suffix
| 31.833333
| 71
| 0.581152
| 23
| 191
| 4.782609
| 0.652174
| 0.354545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040541
| 0.225131
| 191
| 5
| 72
| 38.2
| 0.702703
| 0
| 0
| 0
| 0
| 0
| 0.026178
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
364ccbad5a5d6730427f37c341069742fbff465e
| 135
|
py
|
Python
|
src/__init__.py
|
relaxxpls/TeXURL
|
4e4fdfb0d3db50179dfc254fa4098fb69e93fecb
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
relaxxpls/TeXURL
|
4e4fdfb0d3db50179dfc254fa4098fb69e93fecb
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
relaxxpls/TeXURL
|
4e4fdfb0d3db50179dfc254fa4098fb69e93fecb
|
[
"MIT"
] | null | null | null |
__author__ = "Laxman Desai"
__date__ = '2021-05-16'
__version__ = '0.1.0'
try:
from .main import *
except:
from main import *
| 15
| 27
| 0.651852
| 19
| 135
| 4
| 0.789474
| 0.210526
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103774
| 0.214815
| 135
| 8
| 28
| 16.875
| 0.613208
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.285714
| 0
| 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
| 0
| 0
| 0
|
0
| 4
|
3653ffc34901b01317013932576d017186a56ab8
| 202
|
py
|
Python
|
DSA Coding/Patterns/Left_arrow_pattern.py
|
prathimacode-hub/WIE-WoC
|
f412f297a57249af98213bf4a747c897f2d4c035
|
[
"MIT"
] | 8
|
2022-03-01T09:09:20.000Z
|
2022-03-03T05:36:01.000Z
|
DSA Coding/Patterns/Left_arrow_pattern.py
|
prathimacode-hub/WIE-WoC
|
f412f297a57249af98213bf4a747c897f2d4c035
|
[
"MIT"
] | 52
|
2022-03-02T13:52:46.000Z
|
2022-03-04T03:03:17.000Z
|
DSA Coding/Patterns/Left_arrow_pattern.py
|
prathimacode-hub/WIE-WoC
|
f412f297a57249af98213bf4a747c897f2d4c035
|
[
"MIT"
] | 23
|
2022-03-01T06:39:34.000Z
|
2022-03-03T09:24:40.000Z
|
n = int(input())
for i in range(n,0,-1):
for j in range(i*2):
print('*',end=' ')
print()
for i in range(1,n+1):
for j in range(i*2):
print('*',end=' ')
print()
| 12.625
| 26
| 0.440594
| 35
| 202
| 2.542857
| 0.371429
| 0.314607
| 0.134831
| 0.247191
| 0.606742
| 0.606742
| 0.606742
| 0.606742
| 0.606742
| 0.606742
| 0
| 0.044444
| 0.331683
| 202
| 15
| 27
| 13.466667
| 0.614815
| 0
| 0
| 0.666667
| 0
| 0
| 0.020202
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.444444
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
36775ed906b8ba5b6ec81dc3aedcb129eaf4bb49
| 336
|
py
|
Python
|
StatusLabel.py
|
KengoSawa2/deadlinecalc
|
8b99726889f4f78234dcc4f9cff232e174d77749
|
[
"BSD-2-Clause"
] | 2
|
2021-01-24T22:41:31.000Z
|
2021-05-11T11:39:28.000Z
|
StatusLabel.py
|
KengoSawa2/deadlinecalc
|
8b99726889f4f78234dcc4f9cff232e174d77749
|
[
"BSD-2-Clause"
] | null | null | null |
StatusLabel.py
|
KengoSawa2/deadlinecalc
|
8b99726889f4f78234dcc4f9cff232e174d77749
|
[
"BSD-2-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from PySide import QtGui
class StatusLabel(QtGui.QLabel):
def __init__(self,parent=None):
super(StatusLabel,self).__init__(parent)
def minimumSizeHint(self):
#sz = QtGui.QLabel.minimumSizeHint()
sz = QtGui.QLabel.minimumSizeHint(self)
sz.setWidth(0)
return sz
| 22.4
| 48
| 0.64881
| 38
| 336
| 5.526316
| 0.552632
| 0.157143
| 0.2
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007722
| 0.229167
| 336
| 14
| 49
| 24
| 0.803089
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0
| 0.625
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
36b2895ea559b3f41e16b44a41e5e0f596a23118
| 2,101
|
py
|
Python
|
src/sage/modules/fp_graded/free_homspace.py
|
UCD4IDS/sage
|
43474c96d533fd396fe29fe0782d44dc7f5164f7
|
[
"BSL-1.0"
] | null | null | null |
src/sage/modules/fp_graded/free_homspace.py
|
UCD4IDS/sage
|
43474c96d533fd396fe29fe0782d44dc7f5164f7
|
[
"BSL-1.0"
] | null | null | null |
src/sage/modules/fp_graded/free_homspace.py
|
UCD4IDS/sage
|
43474c96d533fd396fe29fe0782d44dc7f5164f7
|
[
"BSL-1.0"
] | null | null | null |
r"""
Homsets of finitely generated free graded left modules
For an overview, see the :mod:`free graded modules documentation
<sage.modules.fp_graded.free_module>`.
EXAMPLES::
sage: from sage.modules.fp_graded.free_module import FreeGradedModule
sage: A = SteenrodAlgebra(2)
sage: F1 = FreeGradedModule(A, (1,3), names='g')
sage: F2 = FreeGradedModule(A, (2,3), names='h')
sage: homset = Hom(F1, F2)
sage: homset
Set of Morphisms from Free graded left module on 2 generators ...
sage: homset([F2((Sq(1), 1)), F2((0, Sq(2)))])
Module morphism:
From: Free graded left module on 2 generators over mod 2 Steenrod algebra, milnor basis
To: Free graded left module on 2 generators over mod 2 Steenrod algebra, milnor basis
Defn: g[1] |--> Sq(1)*h[2] + h[3]
g[3] |--> Sq(2)*h[3]
sage: TestSuite(homset).run()
AUTHORS:
- Robert R. Bruner, Michael J. Catanzaro (2012): Initial version.
- Sverre Lunoee--Nielsen and Koen van Woerden (2019-11-29): Updated the
original software to Sage version 8.9.
- Sverre Lunoee--Nielsen (2020-07-01): Refactored the code and added
new documentation and tests.
"""
#*****************************************************************************
# Copyright (C) 2021 Robert R. Bruner <rrb@math.wayne.edu> and
# Michael J. Catanzaro <mike@math.wayne.edu>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
# https://www.gnu.org/licenses/
# ****************************************************************************
from sage.misc.cachefunc import cached_method
from sage.modules.fp_graded.free_morphism import FreeGradedModuleMorphism
from sage.modules.fp_graded.homspace import FPModuleHomspace
class FreeGradedModuleHomspace(FPModuleHomspace):
"""
Homspace between two free graded modules.
"""
Element = FreeGradedModuleMorphism
| 39.641509
| 93
| 0.646835
| 279
| 2,101
| 4.842294
| 0.473118
| 0.044412
| 0.041451
| 0.056255
| 0.212435
| 0.195411
| 0.129534
| 0.129534
| 0.099186
| 0.099186
| 0
| 0.031505
| 0.184198
| 2,101
| 52
| 94
| 40.403846
| 0.756709
| 0.84674
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.833333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
36be50fe4678b05057b0b9169ed30939d9eaeccd
| 17,580
|
py
|
Python
|
src/bloombox/schema/geo/USState_pb2.py
|
Bloombox/Python
|
1b125fbdf54efb390afe12aaa966f093218c4387
|
[
"Apache-2.0"
] | 4
|
2018-01-23T20:13:11.000Z
|
2018-07-28T22:36:09.000Z
|
src/bloombox/schema/geo/USState_pb2.py
|
Bloombox/Python
|
1b125fbdf54efb390afe12aaa966f093218c4387
|
[
"Apache-2.0"
] | 159
|
2018-02-02T09:55:52.000Z
|
2021-07-21T23:41:59.000Z
|
src/bloombox/schema/geo/USState_pb2.py
|
Bloombox/Python
|
1b125fbdf54efb390afe12aaa966f093218c4387
|
[
"Apache-2.0"
] | 3
|
2018-01-23T20:13:15.000Z
|
2020-01-17T01:07:53.000Z
|
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: geo/USState.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='geo/USState.proto',
package='opencannabis.geo.usa',
syntax='proto3',
serialized_pb=_b('\n\x11geo/USState.proto\x12\x14opencannabis.geo.usa*\xa1\t\n\x07USState\x12\x0f\n\x0bUNSPECIFIED\x10\x00\x12\x06\n\x02\x41L\x10\x01\x12\x0b\n\x07\x41LABAMA\x10\x01\x12\x06\n\x02\x41K\x10\x02\x12\n\n\x06\x41LASKA\x10\x02\x12\x06\n\x02\x41Z\x10\x03\x12\x0b\n\x07\x41RIZONA\x10\x03\x12\x06\n\x02\x41R\x10\x04\x12\x0c\n\x08\x41RKANSAS\x10\x04\x12\x06\n\x02\x43\x41\x10\x05\x12\x0e\n\nCALIFORNIA\x10\x05\x12\x06\n\x02\x43O\x10\x06\x12\x0c\n\x08\x43OLORADO\x10\x06\x12\x06\n\x02\x43T\x10\x07\x12\x0f\n\x0b\x43ONNECTICUT\x10\x07\x12\x06\n\x02\x44\x45\x10\x08\x12\x0c\n\x08\x44\x65laware\x10\x08\x12\x06\n\x02\x44\x43\x10\t\x12\x18\n\x14\x44ISTRICT_OF_COLUMBIA\x10\t\x12\x06\n\x02\x46L\x10\n\x12\x0b\n\x07\x46LORIDA\x10\n\x12\x06\n\x02GA\x10\x0b\x12\x0b\n\x07GEORGIA\x10\x0b\x12\x06\n\x02HI\x10\x0c\x12\n\n\x06HAWAII\x10\x0c\x12\x06\n\x02ID\x10\r\x12\t\n\x05IDAHO\x10\r\x12\x06\n\x02IL\x10\x0e\x12\x0c\n\x08ILLINOIS\x10\x0e\x12\x06\n\x02IN\x10\x0f\x12\x0b\n\x07INDIANA\x10\x0f\x12\x06\n\x02IA\x10\x10\x12\x08\n\x04IOWA\x10\x10\x12\x06\n\x02KS\x10\x11\x12\n\n\x06KANSAS\x10\x11\x12\x06\n\x02KY\x10\x12\x12\x0c\n\x08KENTUCKY\x10\x12\x12\x06\n\x02LA\x10\x13\x12\x0c\n\x08LOISIANA\x10\x13\x12\x06\n\x02ME\x10\x14\x12\t\n\x05MAINE\x10\x14\x12\x06\n\x02MD\x10\x15\x12\x0c\n\x08MARYLAND\x10\x15\x12\x06\n\x02MA\x10\x16\x12\x11\n\rMASSACHUSETTS\x10\x16\x12\x06\n\x02MI\x10\x17\x12\x0c\n\x08MICHIGAN\x10\x17\x12\x06\n\x02MN\x10\x18\x12\r\n\tMINNESOTA\x10\x18\x12\x06\n\x02MS\x10\x19\x12\x0f\n\x0bMISSISSIPPI\x10\x19\x12\x06\n\x02MO\x10\x1a\x12\x0c\n\x08MISSOURI\x10\x1a\x12\x06\n\x02MT\x10\x1b\x12\x0b\n\x07MONTANA\x10\x1b\x12\x06\n\x02NE\x10\x1c\x12\x0c\n\x08NEBRASKA\x10\x1c\x12\x06\n\x02NV\x10\x1d\x12\n\n\x06NEVADA\x10\x1d\x12\x06\n\x02NH\x10\x1e\x12\x11\n\rNEW_HAMPSHIRE\x10\x1e\x12\x06\n\x02NJ\x10\x1f\x12\x0e\n\nNEW_JERSEY\x10\x1f\x12\x06\n\x02NM\x10 \x12\x0e\n\nNEW_MEXICO\x10 \x12\x06\n\x02NY\x10!\x12\x0c\n\x08NEW_YORK\x10!\x12\x06\n\x02NC\x10\"\x12\x12\n\x0eNORTH_CAROLINA\x10\"\x12\x06\n\x02ND\x10#\x12\x10\n\x0cNORTH_DAKOTA\x10#\x12\x06\n\x02OH\x10$\x12\x08\n\x04OHIO\x10$\x12\x06\n\x02OK\x10%\x12\x0c\n\x08OKLAHOMA\x10%\x12\x06\n\x02OR\x10&\x12\n\n\x06OREGON\x10&\x12\x06\n\x02PA\x10\'\x12\x10\n\x0cPENNSYLVANIA\x10\'\x12\x06\n\x02RI\x10(\x12\x10\n\x0cRHODE_ISLAND\x10(\x12\x06\n\x02SC\x10)\x12\x12\n\x0eSOUTH_CAROLINA\x10)\x12\x06\n\x02SD\x10*\x12\x10\n\x0cSOUTH_DAKOTA\x10*\x12\x06\n\x02TN\x10+\x12\r\n\tTENNESSEE\x10+\x12\x06\n\x02TX\x10,\x12\t\n\x05TEXAS\x10,\x12\x06\n\x02UT\x10-\x12\x08\n\x04UTAH\x10-\x12\x06\n\x02VT\x10.\x12\x0b\n\x07VERMONT\x10.\x12\x06\n\x02VA\x10/\x12\x0c\n\x08VIRGINIA\x10/\x12\x06\n\x02WA\x10\x30\x12\x0e\n\nWASHINGTON\x10\x30\x12\x06\n\x02WV\x10\x31\x12\x11\n\rWEST_VIRGINIA\x10\x31\x12\x06\n\x02WI\x10\x32\x12\r\n\tWISCONSIN\x10\x32\x12\x0b\n\x07WYOMING\x10\x33\x12\x06\n\x02WY\x10\x33\x1a\x02\x10\x01\x42*\n\x1eio.opencannabis.schema.geo.usaH\x01P\x01\xa2\x02\x03OCSb\x06proto3')
)
_USSTATE = _descriptor.EnumDescriptor(
name='USState',
full_name='opencannabis.geo.usa.USState',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='UNSPECIFIED', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AL', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ALABAMA', index=2, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AK', index=3, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ALASKA', index=4, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AZ', index=5, number=3,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ARIZONA', index=6, number=3,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AR', index=7, number=4,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ARKANSAS', index=8, number=4,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CA', index=9, number=5,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CALIFORNIA', index=10, number=5,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CO', index=11, number=6,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='COLORADO', index=12, number=6,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CT', index=13, number=7,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CONNECTICUT', index=14, number=7,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DE', index=15, number=8,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='Delaware', index=16, number=8,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DC', index=17, number=9,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DISTRICT_OF_COLUMBIA', index=18, number=9,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FL', index=19, number=10,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FLORIDA', index=20, number=10,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='GA', index=21, number=11,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='GEORGIA', index=22, number=11,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='HI', index=23, number=12,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='HAWAII', index=24, number=12,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ID', index=25, number=13,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IDAHO', index=26, number=13,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IL', index=27, number=14,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ILLINOIS', index=28, number=14,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IN', index=29, number=15,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='INDIANA', index=30, number=15,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IA', index=31, number=16,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IOWA', index=32, number=16,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='KS', index=33, number=17,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='KANSAS', index=34, number=17,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='KY', index=35, number=18,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='KENTUCKY', index=36, number=18,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='LA', index=37, number=19,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='LOISIANA', index=38, number=19,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ME', index=39, number=20,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MAINE', index=40, number=20,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MD', index=41, number=21,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MARYLAND', index=42, number=21,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MA', index=43, number=22,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MASSACHUSETTS', index=44, number=22,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MI', index=45, number=23,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MICHIGAN', index=46, number=23,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MN', index=47, number=24,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MINNESOTA', index=48, number=24,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MS', index=49, number=25,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MISSISSIPPI', index=50, number=25,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MO', index=51, number=26,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MISSOURI', index=52, number=26,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MT', index=53, number=27,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MONTANA', index=54, number=27,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NE', index=55, number=28,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEBRASKA', index=56, number=28,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NV', index=57, number=29,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEVADA', index=58, number=29,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NH', index=59, number=30,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEW_HAMPSHIRE', index=60, number=30,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NJ', index=61, number=31,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEW_JERSEY', index=62, number=31,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NM', index=63, number=32,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEW_MEXICO', index=64, number=32,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NY', index=65, number=33,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NEW_YORK', index=66, number=33,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NC', index=67, number=34,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NORTH_CAROLINA', index=68, number=34,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ND', index=69, number=35,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NORTH_DAKOTA', index=70, number=35,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='OH', index=71, number=36,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='OHIO', index=72, number=36,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='OK', index=73, number=37,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='OKLAHOMA', index=74, number=37,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='OR', index=75, number=38,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='OREGON', index=76, number=38,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='PA', index=77, number=39,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='PENNSYLVANIA', index=78, number=39,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='RI', index=79, number=40,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='RHODE_ISLAND', index=80, number=40,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SC', index=81, number=41,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SOUTH_CAROLINA', index=82, number=41,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SD', index=83, number=42,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SOUTH_DAKOTA', index=84, number=42,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TN', index=85, number=43,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TENNESSEE', index=86, number=43,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TX', index=87, number=44,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TEXAS', index=88, number=44,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='UT', index=89, number=45,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='UTAH', index=90, number=45,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='VT', index=91, number=46,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='VERMONT', index=92, number=46,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='VA', index=93, number=47,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='VIRGINIA', index=94, number=47,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WA', index=95, number=48,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WASHINGTON', index=96, number=48,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WV', index=97, number=49,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WEST_VIRGINIA', index=98, number=49,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WI', index=99, number=50,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WISCONSIN', index=100, number=50,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WYOMING', index=101, number=51,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WY', index=102, number=51,
options=None,
type=None),
],
containing_type=None,
options=_descriptor._ParseOptions(descriptor_pb2.EnumOptions(), _b('\020\001')),
serialized_start=44,
serialized_end=1229,
)
_sym_db.RegisterEnumDescriptor(_USSTATE)
USState = enum_type_wrapper.EnumTypeWrapper(_USSTATE)
UNSPECIFIED = 0
AL = 1
ALABAMA = 1
AK = 2
ALASKA = 2
AZ = 3
ARIZONA = 3
AR = 4
ARKANSAS = 4
CA = 5
CALIFORNIA = 5
CO = 6
COLORADO = 6
CT = 7
CONNECTICUT = 7
DE = 8
Delaware = 8
DC = 9
DISTRICT_OF_COLUMBIA = 9
FL = 10
FLORIDA = 10
GA = 11
GEORGIA = 11
HI = 12
HAWAII = 12
ID = 13
IDAHO = 13
IL = 14
ILLINOIS = 14
IN = 15
INDIANA = 15
IA = 16
IOWA = 16
KS = 17
KANSAS = 17
KY = 18
KENTUCKY = 18
LA = 19
LOISIANA = 19
ME = 20
MAINE = 20
MD = 21
MARYLAND = 21
MA = 22
MASSACHUSETTS = 22
MI = 23
MICHIGAN = 23
MN = 24
MINNESOTA = 24
MS = 25
MISSISSIPPI = 25
MO = 26
MISSOURI = 26
MT = 27
MONTANA = 27
NE = 28
NEBRASKA = 28
NV = 29
NEVADA = 29
NH = 30
NEW_HAMPSHIRE = 30
NJ = 31
NEW_JERSEY = 31
NM = 32
NEW_MEXICO = 32
NY = 33
NEW_YORK = 33
NC = 34
NORTH_CAROLINA = 34
ND = 35
NORTH_DAKOTA = 35
OH = 36
OHIO = 36
OK = 37
OKLAHOMA = 37
OR = 38
OREGON = 38
PA = 39
PENNSYLVANIA = 39
RI = 40
RHODE_ISLAND = 40
SC = 41
SOUTH_CAROLINA = 41
SD = 42
SOUTH_DAKOTA = 42
TN = 43
TENNESSEE = 43
TX = 44
TEXAS = 44
UT = 45
UTAH = 45
VT = 46
VERMONT = 46
VA = 47
VIRGINIA = 47
WA = 48
WASHINGTON = 48
WV = 49
WEST_VIRGINIA = 49
WI = 50
WISCONSIN = 50
WYOMING = 51
WY = 51
DESCRIPTOR.enum_types_by_name['USState'] = _USSTATE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\036io.opencannabis.schema.geo.usaH\001P\001\242\002\003OCS'))
_USSTATE.has_options = True
_USSTATE._options = _descriptor._ParseOptions(descriptor_pb2.EnumOptions(), _b('\020\001'))
# @@protoc_insertion_point(module_scope)
| 31.005291
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|
0
| 4
|
36cdbe837aaed7debb6af2c4d750c81fe3ea041b
| 191
|
py
|
Python
|
vista/Ingresocorrecto.py
|
AnthonyEC7/Project-Ecuavoley
|
8950689aa732364580c96c3705577cf9cb4b4782
|
[
"Apache-2.0"
] | null | null | null |
vista/Ingresocorrecto.py
|
AnthonyEC7/Project-Ecuavoley
|
8950689aa732364580c96c3705577cf9cb4b4782
|
[
"Apache-2.0"
] | null | null | null |
vista/Ingresocorrecto.py
|
AnthonyEC7/Project-Ecuavoley
|
8950689aa732364580c96c3705577cf9cb4b4782
|
[
"Apache-2.0"
] | null | null | null |
from PyQt5.QtWidgets import QDialog
from PyQt5 import uic
class IngresoCorrecto(QDialog):
def __init__(self):
QDialog.__init__(self)
uic.loadUi("Ingresocorrecto.ui",self)
| 27.285714
| 45
| 0.732984
| 23
| 191
| 5.73913
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| 0
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| 0
| 0.012739
| 0.17801
| 191
| 7
| 45
| 27.285714
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| 0.166667
| false
| 0
| 0.333333
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 1
| 0
| 1
| 0
|
0
| 4
|
36d7d334e50716144715fcf63c45b03a72bf8a0e
| 196
|
py
|
Python
|
instagram_api/response/model/unpredictable/direct_thread_last_seen_at.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | 13
|
2019-08-07T21:24:34.000Z
|
2020-12-12T12:23:50.000Z
|
instagram_api/response/model/unpredictable/direct_thread_last_seen_at.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | null | null | null |
instagram_api/response/model/unpredictable/direct_thread_last_seen_at.py
|
Yuego/instagram_api
|
b53f72db36c505a2eb24ebac1ba8267a0cc295bb
|
[
"MIT"
] | null | null | null |
from .core import CoreUnpredictableContainer
__all__ = ['DirectThreadLastSeenAtUnpredictableContainer']
class DirectThreadLastSeenAtUnpredictableContainer(CoreUnpredictableContainer):
pass
| 24.5
| 79
| 0.867347
| 10
| 196
| 16.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086735
| 196
| 7
| 80
| 28
| 0.927374
| 0
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| 0
| 0.22449
| 0.22449
| 0
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| 0
| 0
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| false
| 0.25
| 0.25
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| 0.5
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| 1
| null | 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
36da0de7e7a3f51b715aaa792e56505b9b09f22f
| 180
|
py
|
Python
|
basics/math/hyper_triangle.py
|
Yinan-Zhang/RichCSpace
|
e657a5296af115eb66c67f1a2440e84154eaef54
|
[
"MIT"
] | null | null | null |
basics/math/hyper_triangle.py
|
Yinan-Zhang/RichCSpace
|
e657a5296af115eb66c67f1a2440e84154eaef54
|
[
"MIT"
] | null | null | null |
basics/math/hyper_triangle.py
|
Yinan-Zhang/RichCSpace
|
e657a5296af115eb66c67f1a2440e84154eaef54
|
[
"MIT"
] | null | null | null |
import sys, os, pygame, math
import numpy
from hyper_geometry import *
class triangle:
def __init__( self, vert1, vert2, vert3 ):
self.vertices = [vert1, vert2, vert3];
def
| 18
| 43
| 0.716667
| 25
| 180
| 4.96
| 0.72
| 0.16129
| 0.241935
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040816
| 0.183333
| 180
| 10
| 44
| 18
| 0.802721
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.428571
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7fcd77ceb325cc6136b62c81cfd79c78e1cdb224
| 106
|
py
|
Python
|
build/lib/safegif/test.py
|
katiewimmer/safe-gif-scanner
|
2d157f51fa05b1a3a2e094271d76a4031160b97f
|
[
"MIT"
] | null | null | null |
build/lib/safegif/test.py
|
katiewimmer/safe-gif-scanner
|
2d157f51fa05b1a3a2e094271d76a4031160b97f
|
[
"MIT"
] | 6
|
2020-10-17T04:17:38.000Z
|
2020-11-19T22:34:02.000Z
|
build/lib/safegif/test.py
|
katiewimmer/safe-gif-scanner
|
2d157f51fa05b1a3a2e094271d76a4031160b97f
|
[
"MIT"
] | 4
|
2020-10-15T21:05:18.000Z
|
2020-11-21T01:28:35.000Z
|
import processFrames
filename = input("input gif filename: ")
print(processFrames.process_gif(filename))
| 21.2
| 42
| 0.801887
| 12
| 106
| 7
| 0.583333
| 0.261905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09434
| 106
| 4
| 43
| 26.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0.188679
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
3d116fe79b3371d8c17d39bfb9590e27ec6c6d91
| 103
|
py
|
Python
|
django_site_tag/apps.py
|
yudori/django-site-tag
|
48bedf0518864fdfdeef65bb04c0dd4317cc2e95
|
[
"MIT"
] | 1
|
2019-04-07T22:34:04.000Z
|
2019-04-07T22:34:04.000Z
|
django_site_tag/apps.py
|
yudori/django-site-tag
|
48bedf0518864fdfdeef65bb04c0dd4317cc2e95
|
[
"MIT"
] | null | null | null |
django_site_tag/apps.py
|
yudori/django-site-tag
|
48bedf0518864fdfdeef65bb04c0dd4317cc2e95
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class DjangoSiteTagConfig(AppConfig):
name = 'django_site_tag'
| 17.166667
| 37
| 0.786408
| 12
| 103
| 6.583333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145631
| 103
| 5
| 38
| 20.6
| 0.897727
| 0
| 0
| 0
| 0
| 0
| 0.145631
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
3d1223139dcf5430e123418f1045e35292a8cf85
| 229
|
py
|
Python
|
cmsplugin_phlog/__init__.py
|
TAMUArch/cmsplugin-phlog
|
c0b22d8a329d927c640b82ae785983c344a10214
|
[
"Apache-2.0"
] | null | null | null |
cmsplugin_phlog/__init__.py
|
TAMUArch/cmsplugin-phlog
|
c0b22d8a329d927c640b82ae785983c344a10214
|
[
"Apache-2.0"
] | null | null | null |
cmsplugin_phlog/__init__.py
|
TAMUArch/cmsplugin-phlog
|
c0b22d8a329d927c640b82ae785983c344a10214
|
[
"Apache-2.0"
] | null | null | null |
from django.conf import settings
if 'cmsplugin_phlog' in settings.INSTALLED_APPS:
if not hasattr(settings,'CMS_PLUGIN_PHLOG_MEDIA_URL'):
settings.CMS_PLUGIN_PHLOG_MEDIA_URL = settings.MEDIA_URL + 'cmsplugin_phlog/'
| 32.714286
| 85
| 0.790393
| 32
| 229
| 5.28125
| 0.53125
| 0.142012
| 0.201183
| 0.260355
| 0.402367
| 0.402367
| 0.402367
| 0
| 0
| 0
| 0
| 0
| 0.131004
| 229
| 7
| 85
| 32.714286
| 0.849246
| 0
| 0
| 0
| 0
| 0
| 0.247826
| 0.113043
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3d29241562eb381aa0e763fe0d0677c2f5c3d773
| 158
|
py
|
Python
|
your_appointment/console/__init__.py
|
GermainPereira/YourAppointment
|
09c212442be7719dac15184a7460c52cea2f6bce
|
[
"MIT"
] | 1
|
2020-04-06T02:32:31.000Z
|
2020-04-06T02:32:31.000Z
|
your_appointment/console/__init__.py
|
GermainPereira/ClassesManager
|
09c212442be7719dac15184a7460c52cea2f6bce
|
[
"MIT"
] | 4
|
2020-04-22T14:47:32.000Z
|
2020-04-24T18:30:21.000Z
|
your_appointment/console/__init__.py
|
GermainPereira/YourAppointment
|
09c212442be7719dac15184a7460c52cea2f6bce
|
[
"MIT"
] | null | null | null |
'''
if __name__ == "__main__":
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
print(sys.path)
'''
| 22.571429
| 83
| 0.664557
| 24
| 158
| 3.875
| 0.583333
| 0.193548
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007092
| 0.107595
| 158
| 7
| 84
| 22.571429
| 0.652482
| 1.126582
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
3d4c615eac0e70189db3b934674063fc62cc8a0c
| 270
|
py
|
Python
|
csv_generator/models/generated_file.py
|
Vitamal/schemas
|
0cfc1acb9031a2348bef2207e492d47d1c86e5c1
|
[
"MIT"
] | null | null | null |
csv_generator/models/generated_file.py
|
Vitamal/schemas
|
0cfc1acb9031a2348bef2207e492d47d1c86e5c1
|
[
"MIT"
] | null | null | null |
csv_generator/models/generated_file.py
|
Vitamal/schemas
|
0cfc1acb9031a2348bef2207e492d47d1c86e5c1
|
[
"MIT"
] | null | null | null |
from django.db import models
from . import BaseModel, Schema
class GeneratedFile(BaseModel):
schema = models.ForeignKey(Schema, on_delete=models.CASCADE, related_name='files')
file_name = models.URLField()
is_generated = models.BooleanField(default=False)
| 30
| 86
| 0.77037
| 33
| 270
| 6.181818
| 0.69697
| 0.147059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 270
| 8
| 87
| 33.75
| 0.871795
| 0
| 0
| 0
| 1
| 0
| 0.018519
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e9f3ee8dfb6cef7405961f2e1968510f1b5efaad
| 7,006
|
py
|
Python
|
gapfilling.py
|
sig-gis/Ecuador_SEPAL
|
edc7899c20cf724591385994722ee8c3d27fd9f3
|
[
"MIT"
] | 13
|
2018-09-11T05:42:45.000Z
|
2021-12-01T07:12:56.000Z
|
gapfilling.py
|
g-adzan/Ecuador_SEPAL
|
edc7899c20cf724591385994722ee8c3d27fd9f3
|
[
"MIT"
] | 1
|
2020-06-15T07:24:59.000Z
|
2020-06-26T18:39:25.000Z
|
gapfilling.py
|
g-adzan/Ecuador_SEPAL
|
edc7899c20cf724591385994722ee8c3d27fd9f3
|
[
"MIT"
] | 6
|
2018-12-18T23:20:45.000Z
|
2021-12-01T07:13:07.000Z
|
import ee
ee.Initialize()
filez = ["LS_BW_200901402","LS_BW_200904205"] #,"LS_BW_200928029","LS_BW_200929430","LS_BW_200930832","LS_BW_200932233","LS_BW_200933634","LS_BW_200935036","LS_BW_200936401","LS_BW_201001302","LS_BW_201002704","LS_BW_201004105","LS_BW_201005506","LS_BW_201006908","LS_BW_201008309","LS_BW_201009711","LS_BW_201011112","LS_BW_201012513","LS_BW_201013915","LS_BW_201015316","LS_BW_201016718","LS_BW_201018119","LS_BW_201019520","LS_BW_201020922","LS_BW_201022323","LS_BW_201023725","LS_BW_201025126","LS_BW_201026527","LS_BW_201027929","LS_BW_201029330","LS_BW_201030732","LS_BW_201032133","LS_BW_201033534","LS_BW_201034936","LS_BW_201036301","LS_BW_201101202","LS_BW_201102603","LS_BW_201104005","LS_BW_201105406","LS_BW_201106808","LS_BW_201108209","LS_BW_201109610","LS_BW_201111012","LS_BW_201112413","LS_BW_201113815","LS_BW_201115216","LS_BW_201116617","LS_BW_201118019","LS_BW_201119420","LS_BW_201120822","LS_BW_201122223","LS_BW_201123624","LS_BW_201125026","LS_BW_201126427","LS_BW_201127829","LS_BW_201129230","LS_BW_201130631","LS_BW_201132033","LS_BW_201133434","LS_BW_201134836","LS_BW_201136201","LS_BW_201201102","LS_BW_201202503","LS_BW_201203905","LS_BW_201205306","LS_BW_201206708","LS_BW_201208109","LS_BW_201209510","LS_BW_201210912","LS_BW_201212313","LS_BW_201213715","LS_BW_201215116","LS_BW_201216517","LS_BW_201217919","LS_BW_201219320","LS_BW_201220722","LS_BW_201222123","LS_BW_201223524","LS_BW_201224926","LS_BW_201226327","LS_BW_201227729","LS_BW_201229130","LS_BW_201230531","LS_BW_201231933","LS_BW_201233334","LS_BW_201234736","LS_BW_201236100","LS_BW_201300902","LS_BW_201302303","LS_BW_201303705","LS_BW_201305106","LS_BW_201306507","LS_BW_201307909","LS_BW_201309310","LS_BW_201310712","LS_BW_201312113","LS_BW_201313514","LS_BW_201314916","LS_BW_201316317","LS_BW_201317719","LS_BW_201319120","LS_BW_201320521","LS_BW_201321923","LS_BW_201323324","LS_BW_201324726","LS_BW_201326127","LS_BW_201327528","LS_BW_201328930","LS_BW_201330331","LS_BW_201331733","LS_BW_201333134","LS_BW_201334535","LS_BW_201335900","LS_BW_201400802","LS_BW_201402203","LS_BW_201403604","LS_BW_201405006","LS_BW_201406407","LS_BW_201407809","LS_BW_201409210","LS_BW_201410611","LS_BW_201412013","LS_BW_201413414","LS_BW_201414816","LS_BW_201416217","LS_BW_201417618","LS_BW_201419020","LS_BW_201420421","LS_BW_201421823","LS_BW_201423224","LS_BW_201424625","LS_BW_201426027","LS_BW_201427428","LS_BW_201428830","LS_BW_201430231","LS_BW_201431632","LS_BW_201433034","LS_BW_201434435","LS_BW_201435800","LS_BW_201500702","LS_BW_201502103","LS_BW_201503504","LS_BW_201504906","LS_BW_201506307","LS_BW_201507709","LS_BW_201509110","LS_BW_201510511","LS_BW_201511913","LS_BW_201513314","LS_BW_201514716","LS_BW_201516117","LS_BW_201517518","LS_BW_201518920","LS_BW_201520321","LS_BW_201521723","LS_BW_201523124","LS_BW_201524525","LS_BW_201525927","LS_BW_201527328","LS_BW_201528730","LS_BW_201530131","LS_BW_201531532","LS_BW_201532934","LS_BW_201534335","LS_BW_201535700","LS_BW_201600601","LS_BW_201602003","LS_BW_201603404","LS_BW_201604806","LS_BW_201606207","LS_BW_201607608","LS_BW_201609010","LS_BW_201610411","LS_BW_201611813","LS_BW_201613214","LS_BW_201614615","LS_BW_201616017","LS_BW_201617418","LS_BW_201618820","LS_BW_201620221","LS_BW_201621622","LS_BW_201623024","LS_BW_201624425","LS_BW_201625827","LS_BW_201627228","LS_BW_201628629","LS_BW_201630031","LS_BW_201631432","LS_BW_201632834","LS_BW_201634235","LS_BW_201635600","LS_BW_201700401","LS_BW_201701803","LS_BW_201703204","LS_BW_201704605","LS_BW_201706007","LS_BW_201707408","LS_BW_201708810","LS_BW_201710211","LS_BW_201711612","LS_BW_201713014","LS_BW_201714415","LS_BW_201715817","LS_BW_201717218","LS_BW_201718619","LS_BW_201720021","LS_BW_201721422","LS_BW_201722824","LS_BW_201724225","LS_BW_201725626","LS_BW_201727028","LS_BW_201728429","LS_BW_201729831","LS_BW_201731232","LS_BW_201732633","LS_BW_201734035"]
def calculateGaps(collection):
# make a gap 1 and data 0
def unmaskNoData(img):
im = img.select("red").gt(9999).rename(["gaps"])
gaps = ee.Image(im.unmask(1).set('system:time_start', img.get('system:time_start'))).float()
return gaps
# iterate over the collection and count the number of consequetive gaps
def gapsCumulative(img,mylist):
previous = ee.Image(ee.List(mylist).get(-1));
gaps = img.add(previous)
gaps = gaps.where(gaps.eq(previous),0).set('system:time_start', img.get('system:time_start'))
return ee.List(mylist).add(gaps)
gapCollection = ee.ImageCollection(collection.map(unmaskNoData))
# count the number of gaps
first = ee.List([ee.Image(gapCollection.first())]);
previous = ee.Image(ee.List(first).get(-1));
gaps = ee.ImageCollection(ee.List(gapCollection.iterate(gapsCumulative, first)));
return ee.ImageCollection(gaps);
def fillCollectionYear(gaps,inCollection,year):
stDay = year*365+8
endDay = year*365-8
# appy gap filling using the year before
def fillGaps(img):
date = ee.Date(img.get("system:time_start"))
startDate = date.advance(-8,"day")
endDate = date.advance(8,"day")
thisyear = ee.Image(inCollection.filterDate(startDate,endDate).first())
startDate = date.advance(-stDay,"day")
endDate = date.advance(-endDay,"day")
previousYear = ee.ImageCollection(ic.filterDate(startDate,endDate))
def returnMask(img,previousYear):
mask = img.gt(2)
previousYear =previousYear.updateMask(mask)
img = thisyear.unmask(previousYear)
return img
img = ee.Algorithms.If(previousYear.size().gt(0),returnMask(img,ee.Image(previousYear.first())),thisyear)
return img
collection = gaps.map(fillGaps)
return ee.ImageCollection(collection)
ic = ee.ImageCollection("projects/Sacha/PreprocessedData/L8_Biweekly_V5_Mosaiced_2")
namez = []
myGaps = calculateGaps(ic)
myCollection = ee.ImageCollection(fillCollectionYear(myGaps,ic,1))
myGaps = calculateGaps(myCollection)
myCollection = fillCollectionYear(myGaps,myCollection,2)
myGaps = calculateGaps(myCollection)
myCollection = fillCollectionYear(myGaps,myCollection,3)
myList = myCollection.toList(500)
bandNames = ee.List(['blue', 'green', 'red', 'nir', 'swir1', 'swir2','blue_stdDev', 'red_stdDev', 'green_stdDev', 'nir_stdDev', 'swir1_stdDev', 'swir2_stdDev', 'ND_green_swir1_stdDev', 'ND_nir_red_stdDev', 'ND_nir_swir2_stdDev', 'svvi', 'thermal', 'date', 'year', 'cloudMask', 'TDOMMask', 'pixel_qa'])
studyArea = ee.FeatureCollection("projects/Sacha/AncillaryData/StudyRegions/Ecuador_EcoRegions_Complete")
studyArea = studyArea.geometry().bounds()
geom = studyArea.getInfo()
for i in range(0,100,1):
im = ee.Image(myList.get(i))
name = filez[i]
print name
im = im.select(bandNames)
task_ordered= ee.batch.Export.image.toAsset(image=im,
description = name,
assetId= "projects/Sacha/PreprocessedData/L8_Biweekly_V5_Mosaiced_gapfilled/"+ name,
region=geom['coordinates'],
maxPixels=1e13,
crs="epsg:4326",
scale=30)
task_ordered.start()
| 66.72381
| 3,900
| 0.783186
| 1,045
| 7,006
| 4.805742
| 0.342584
| 0.172043
| 0.014934
| 0.009558
| 0.079052
| 0.066507
| 0.066507
| 0.015532
| 0.015532
| 0
| 0
| 0.302759
| 0.058521
| 7,006
| 104
| 3,901
| 67.365385
| 0.458611
| 0.572509
| 0
| 0.0625
| 0
| 0
| 0.18063
| 0.071381
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.015625
| null | null | 0.015625
| 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
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1800e5d1d8ab9ce61db50cf4af75fcf519af7312
| 137
|
py
|
Python
|
decbot/bot/error.py
|
uebergucken/DECbot
|
fa259d47f901ca9187bff74f08e212739af7774f
|
[
"MIT"
] | 4
|
2019-10-22T13:34:54.000Z
|
2021-06-25T11:43:33.000Z
|
decbot/bot/error.py
|
uebergucken/DECbot
|
fa259d47f901ca9187bff74f08e212739af7774f
|
[
"MIT"
] | 3
|
2020-11-24T03:10:47.000Z
|
2021-07-03T08:54:00.000Z
|
decbot/bot/error.py
|
uebergucken/DECbot
|
fa259d47f901ca9187bff74f08e212739af7774f
|
[
"MIT"
] | 2
|
2021-06-25T19:42:50.000Z
|
2021-06-30T08:09:30.000Z
|
class BotError(Exception):
pass
class VoiceError(BotError):
pass
class NoVoice(VoiceError):
pass
class BadVoice(VoiceError):
pass
| 11.416667
| 27
| 0.773723
| 16
| 137
| 6.625
| 0.4375
| 0.254717
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138686
| 137
| 11
| 28
| 12.454545
| 0.898305
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
180c74f1b805fe7e6cd240354b798e8bca62cb08
| 428
|
py
|
Python
|
esque_wire/protocol/structs/api/update_metadata_response.py
|
real-digital/esque-wire
|
eb02c49f38b89ad5e5d25aad15fb4ad795e52807
|
[
"MIT"
] | null | null | null |
esque_wire/protocol/structs/api/update_metadata_response.py
|
real-digital/esque-wire
|
eb02c49f38b89ad5e5d25aad15fb4ad795e52807
|
[
"MIT"
] | 7
|
2019-11-26T08:19:49.000Z
|
2021-03-15T14:27:47.000Z
|
esque_wire/protocol/structs/api/update_metadata_response.py
|
real-digital/esque-wire
|
eb02c49f38b89ad5e5d25aad15fb4ad795e52807
|
[
"MIT"
] | null | null | null |
from typing import ClassVar
from ...constants import ApiKey, ErrorCode
from ..base import ResponseData
class UpdateMetadataResponseData(ResponseData):
error_code: ErrorCode
api_key: ClassVar[ApiKey] = ApiKey.UPDATE_METADATA
def __init__(self, error_code: ErrorCode):
"""
:param error_code: Response error code
:type error_code: ErrorCode
"""
self.error_code = error_code
| 23.777778
| 54
| 0.703271
| 47
| 428
| 6.148936
| 0.489362
| 0.217993
| 0.186851
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.221963
| 428
| 17
| 55
| 25.176471
| 0.867868
| 0.154206
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.375
| 0
| 0.875
| 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
| 0
| 1
| 0
|
0
| 4
|
18149d68128dd44664cb23ef3b78fe6f7bc58c70
| 1,013
|
py
|
Python
|
aiotdlib/api/functions/confirm_qr_code_authentication.py
|
jraylan/aiotdlib
|
4528fcfca7c5c69b54a878ce6ce60e934a2dcc73
|
[
"MIT"
] | 37
|
2021-05-04T10:41:41.000Z
|
2022-03-30T13:48:05.000Z
|
aiotdlib/api/functions/confirm_qr_code_authentication.py
|
jraylan/aiotdlib
|
4528fcfca7c5c69b54a878ce6ce60e934a2dcc73
|
[
"MIT"
] | 13
|
2021-07-17T19:54:51.000Z
|
2022-02-26T06:50:00.000Z
|
aiotdlib/api/functions/confirm_qr_code_authentication.py
|
jraylan/aiotdlib
|
4528fcfca7c5c69b54a878ce6ce60e934a2dcc73
|
[
"MIT"
] | 7
|
2021-09-22T21:27:11.000Z
|
2022-02-20T02:33:19.000Z
|
# =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# #
# =============================================================================== #
from __future__ import annotations
from pydantic import Field
from ..base_object import BaseObject
class ConfirmQrCodeAuthentication(BaseObject):
"""
Confirms QR code authentication on another device. Returns created session on success
:param link: A link from a QR code. The link must be scanned by the in-app camera
:type link: :class:`str`
"""
ID: str = Field("confirmQrCodeAuthentication", alias="@type")
link: str
@staticmethod
def read(q: dict) -> ConfirmQrCodeAuthentication:
return ConfirmQrCodeAuthentication.construct(**q)
| 36.178571
| 89
| 0.477789
| 79
| 1,013
| 6.063291
| 0.683544
| 0.025052
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.307996
| 1,013
| 27
| 90
| 37.518519
| 0.68331
| 0.590326
| 0
| 0
| 1
| 0
| 0.086022
| 0.072581
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.333333
| 0.111111
| 0.888889
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
43ef6cf993842a67b87082b35b930fdc2da3d5df
| 145
|
py
|
Python
|
tests/subdir/pymod.py
|
myint/pymake
|
1135cc413128c12f5bada3d84b3261834a5ac003
|
[
"MIT"
] | null | null | null |
tests/subdir/pymod.py
|
myint/pymake
|
1135cc413128c12f5bada3d84b3261834a5ac003
|
[
"MIT"
] | null | null | null |
tests/subdir/pymod.py
|
myint/pymake
|
1135cc413128c12f5bada3d84b3261834a5ac003
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
import testmodule
def writetofile(args):
with open(args[0], 'w') as f:
f.write(' '.join(args[1:]))
| 20.714286
| 38
| 0.696552
| 22
| 145
| 4.363636
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01626
| 0.151724
| 145
| 6
| 39
| 24.166667
| 0.764228
| 0
| 0
| 0
| 0
| 0
| 0.013793
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a120a4f28d037ded5a5cbd7d0890ea5b45d56788
| 14,611
|
py
|
Python
|
adlib27/autodiff.py
|
ad-lib27/cs207-FinalProject
|
9d7026c3579a7ab397b428343d8426a7c15b9f22
|
[
"MIT"
] | null | null | null |
adlib27/autodiff.py
|
ad-lib27/cs207-FinalProject
|
9d7026c3579a7ab397b428343d8426a7c15b9f22
|
[
"MIT"
] | 9
|
2019-10-30T00:56:55.000Z
|
2019-12-10T16:47:10.000Z
|
adlib27/autodiff.py
|
ad-lib27/cs207-FinalProject
|
9d7026c3579a7ab397b428343d8426a7c15b9f22
|
[
"MIT"
] | 1
|
2019-12-27T03:56:49.000Z
|
2019-12-27T03:56:49.000Z
|
import numpy as np
import pytest
class AutoDiff:
"""
Attributes:
self.val [float]: The value of the AutoDiff number
self.der [float]: The value of the derivative of the AutoDiff number
"""
def __init__(self, val=[0.0], index=0, magnitude=1, der=None):
self.val = val
if der is None:
self.vector_index = index
self.vector_magnitude = magnitude
self.der = list()
for i in range(self.vector_magnitude):
self.der += [[0.0 for j in range(len(self.val))]]
self.der[self.vector_index] = [1.0 for j in range(len(self.val))]
else:
self.der = der
# Comparison operations
def __eq__(self, other):
"""
Overloading the equality operator
Parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff): The other AutoDiff number to compare
Returns:
bool: True if both AutoDiffs are equivalent, False otherwise
"""
if isinstance(other, AutoDiff):
try:
assert self.val == pytest.approx(other.val)
for s, o in zip(self.der, other.der):
assert s == pytest.approx(o)
return True
except AssertionError:
return False
return False
def __ne__(self, other):
"""
Overloading the inequality operator
Parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff): The other AutoDiff number to compare
Returns:
bool: True if both AutoDiffs are different, False if they're equivalent
"""
return not self.__eq__(other)
# Unary operations (negation)
def __neg__(self):
"""
Overloading the negation operator
Parameters:
self (AutoDiff): The AutoDiff number itself
Returns:
AutoDiff: A new AutoDiff number after the negation
"""
# val and der of the negation
val = list()
der = list()
# negate the vals
for i in range(len(self.val)):
val += [-self.val[i]]
# negate the ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [-self.der[i][j]]
return AutoDiff(val=val, der=der)
def __pos__(self):
"""
Overloading the unary + operator
Parameters:
self (AutoDiff): The AutoDiff number itself
Returns:
AutoDiff: The same, unchanged AutoDiff number
"""
return self
# Basic arithmetic operations (+, -, *, /)
def __add__(self, other):
"""
Overloading the addition operator
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number to add
returns:
AutoDiff: A new AutoDiff number with the sum of the numbers
"""
# val and der of the sum
val = list()
der = list()
# if both numbers are AutoDiff...
if isinstance(other, AutoDiff):
try:
# check if `other` is a valid AutoDiff number
assert(len(self.val) == len(other.val))
# add their vals
for i in range(len(self.val)):
val += [self.val[i] + other.val[i]]
# add their ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [self.der[i][j] + other.der[i][j]]
except:
raise ValueError("Can't add AutoDiff numbers of different dimensions.")
else:
# add the vals of self with `other`
for i in range(len(self.val)):
val += [self.val[i] + other]
# ders remain unchanged
der = self.der
# return sum
return AutoDiff(val=val, der=der)
def __radd__(self, other):
"""
Overloading the addition in case the addition of a object/non-object will be from the left
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number to add
returns:
AutoDiff: A new AutoDiff number with the sum of the numbers
"""
return self + other
def __sub__(self, other):
"""
Overloading the subtraction operator
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number to subtract from self
returns:
AutoDiff: A new AutoDiff number with the delta between the numbers
"""
# val and der of the difference
val = list()
der = list()
# if both numbers are AutoDiff...
if isinstance(other, AutoDiff):
try:
# check if `other` is a valid AutoDiff number
assert(len(self.val) == len(other.val))
# subtract their vals
for i in range(len(self.val)):
val += [self.val[i] - other.val[i]]
# subtract their ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [self.der[i][j] - other.der[i][j]]
except:
raise ValueError("Can't subtract AutoDiff numbers of different dimensions.")
else:
# subtract the vals of self with `other`
for i in range(len(self.val)):
val += [self.val[i] - other]
# ders remain unchanged
der = self.der
# return difference
return AutoDiff(val=val, der=der)
def __rsub__(self, other):
"""
Overloading the subtraction operator in case the subtraction of a object/non-object will be from the left
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number from which to subtract
returns:
AutoDiff: A new AutoDiff number with the delta between the numbers
"""
# __rsub__ will only be called if the lefthand value of the subtraction is not an AutoDiff
# val and der of the difference
val = list()
der = list()
# subtract the vals of self from `other`
for i in range(len(self.val)):
val += [other - self.val[i]]
# ders are negated
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [-self.der[i][j]]
# return difference
return AutoDiff(val=val, der=der)
def __mul__(self, other):
"""
Overloading the multiplication operator
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number to multiply
returns:
AutoDiff: A new AutoDiff number with the multiplication of the numbers
"""
# val and der of the product
val = list()
der = list()
# if both numbers are AutoDiff...
if isinstance(other, AutoDiff):
try:
# check if `other` is a valid AutoDiff number
assert(len(self.val) == len(other.val))
# multiply their vals
for i in range(len(self.val)):
val += [self.val[i] * other.val[i]]
# update ders with product rule
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [(self.val[j] * other.der[i][j]) + (self.der[i][j] * other.val[j])]
except:
raise ValueError("Can't multiply AutoDiff numbers of different dimensions.")
else:
# multiply the vals of self with `other`
for i in range(len(self.val)):
val += [self.val[i] * other]
# multiply the ders with `other`
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [self.der[i][j] * other]
# return product
return AutoDiff(val=val, der=der)
# Implementing __rmul__ in case a non AutoDiff object will be on the left of a multiplication
def __rmul__(self, other):
"""
Overloading the multiplication operator in case the mul of a object/non-object will be from the left
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number to multiply
returns:
AutoDiff: A new AutoDiff number with the multiplication of the numbers
"""
return self * other
def __truediv__(self, other):
"""
Overloading the division operator
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff/float): The other number by which to divide
returns:
AutoDiff: A new AutoDiff number with the quotient of the numbers
"""
# val and der of the quotient
val = list()
der = list()
# if both numbers are AutoDiff...
if isinstance(other, AutoDiff):
try:
# check if `other` is a valid AutoDiff number
assert(len(self.val) == len(other.val))
# divide their vals
for i in range(len(self.val)):
val += [self.val[i] / other.val[i]]
# update ders with quotient rule
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [((other.val[j] * self.der[i][j]) - (self.val[j] * other.der[i][j])) / (other.val[j] ** 2)]
except:
raise ValueError("Can't divide AutoDiff numbers of different dimensions.")
else:
# divide the vals of self with `other`
for i in range(len(self.val)):
val += [self.val[i] / other]
# divide the ders with `other`
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [self.der[i][j] / other]
# return quotient
return AutoDiff(val=val, der=der)
def __rtruediv__(self, other):
"""
Overloading the division operator in case the truediv of a object/non-object will be from the left
parameters:
self (AutoDiff): The AutoDiff number itself by which to divide
other (AutoDiff/float): The other number
returns:
AutoDiff: A new AutoDiff number with the quotient of the numbers
"""
# __rtruediv__ will only be called if the lefthand value of the division is not an AutoDiff
# val and der of the quotient
val = list()
der = list()
# divide the vals of self from `other`
for i in range(len(self.val)):
val += [other / self.val[i]]
# update the ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [(-other / self.val[j] ** 2) * self.der[i][j]]
# return quotient
return AutoDiff(val=val, der=der)
def __pow__(self, other):
"""
Overloading the pow operator
parameters:
self (AutoDiff): The AutoDiff number itself
other (AutoDiff or float): The other number which serves as the exponent
returns:
AutoDiff: A new AutoDiff number with the result of raising self to the power of other
"""
# val and der of the exponential
val = list()
der = list()
# if both numbers are AutoDiff...
if isinstance(other, AutoDiff):
try:
# check if `other` is a valid AutoDiff number
assert(len(self.val) == len(other.val))
# for all vals, raise self to power of `other`
for i in range(len(self.val)):
val += [self.val[i] ** other.val[i]]
# update ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [(self.val[j] ** (other.val[j] - 1)) * ((other.val[j] * self.der[i][j]) + (self.val[j] * np.log(self.val[j]) * other.der[i][j]))]
except:
raise ValueError("Can't calculate exponential with AutoDiff numbers of different dimensions.")
else:
# raise the vals of self to power of `other`
for i in range(len(self.val)):
val += [self.val[i] ** other]
# update the ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [other * (self.val[j] ** (other - 1)) * self.der[i][j]]
# return exponential
return AutoDiff(val=val, der=der)
def __rpow__(self, other):
"""
Overloading the pow operator in case the pow of a object/non-object will be from the left
parameters:
self (AutoDiff): The AutoDiff number itself, which serves as the exponent
other (AutoDiff/float): The other number which serves as the base
returns:
AutoDiff: A new AutoDiff number with the result of raising self to the power of other
"""
# __rpow__ will only be called if the base is not an AutoDiff but the exponent is
# val and der of the exponential
val = list()
der = list()
# raise the vals of self to the power of `other`
for i in range(len(self.val)):
val += [other ** self.val[i]]
# update the ders
for i in range(len(self.der)):
der += [list()]
for j in range(len(self.der[i])):
der[i] += [np.log(other) * (other ** self.val[j]) * self.der[i][j]]
# return exponential
return AutoDiff(val=val, der=der)
| 35.377724
| 163
| 0.525768
| 1,791
| 14,611
| 4.242323
| 0.08431
| 0.043301
| 0.052645
| 0.073704
| 0.822322
| 0.790998
| 0.700579
| 0.685707
| 0.667018
| 0.642274
| 0
| 0.001314
| 0.37506
| 14,611
| 412
| 164
| 35.463592
| 0.830796
| 0.384368
| 0
| 0.630682
| 0
| 0
| 0.036176
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 1
| 0.085227
| false
| 0
| 0.011364
| 0
| 0.193182
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a153a86b670b415a7e41315530491f48aa191297
| 157
|
py
|
Python
|
caching/__init__.py
|
bofm/python-caching
|
16de50c119f8896e923e3f10488ecf6ffe535f45
|
[
"MIT"
] | 15
|
2017-08-02T15:19:38.000Z
|
2021-04-09T14:32:45.000Z
|
caching/__init__.py
|
bofm/python-caching
|
16de50c119f8896e923e3f10488ecf6ffe535f45
|
[
"MIT"
] | 6
|
2017-12-05T09:01:16.000Z
|
2018-10-03T17:38:21.000Z
|
caching/__init__.py
|
bofm/python-caching
|
16de50c119f8896e923e3f10488ecf6ffe535f45
|
[
"MIT"
] | 2
|
2018-01-18T05:17:50.000Z
|
2018-09-14T04:52:33.000Z
|
from .cache import Cache
from .storage import CacheStorageBase, SQLiteStorage
__version__ = '0.1.dev8'
__all__ = (Cache, CacheStorageBase, SQLiteStorage)
| 19.625
| 52
| 0.789809
| 17
| 157
| 6.823529
| 0.647059
| 0.5
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021898
| 0.127389
| 157
| 7
| 53
| 22.428571
| 0.824818
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| 0
| 0.050955
| 0
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| 0
| 1
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| false
| 0
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| null | 1
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
a15c2902c8395e6d8e60e82225fe8b974d4a134f
| 6,152
|
py
|
Python
|
python_modules/libraries/dagster-aws/dagster_aws_tests/secretsmanager_tests/test_secrets.py
|
kstennettlull/dagster
|
dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6
|
[
"Apache-2.0"
] | null | null | null |
python_modules/libraries/dagster-aws/dagster_aws_tests/secretsmanager_tests/test_secrets.py
|
kstennettlull/dagster
|
dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6
|
[
"Apache-2.0"
] | null | null | null |
python_modules/libraries/dagster-aws/dagster_aws_tests/secretsmanager_tests/test_secrets.py
|
kstennettlull/dagster
|
dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6
|
[
"Apache-2.0"
] | null | null | null |
import json
import os
from dagster_aws.secretsmanager import get_secrets_from_arns, secretsmanager_secrets_resource
from dagster_aws.secretsmanager.secrets import get_tagged_secrets
from dagster.core.execution.context.init import build_init_resource_context
from dagster.core.test_utils import environ
def test_get_secrets_from_arns(mock_secretsmanager_resource):
foo_secret = mock_secretsmanager_resource.create_secret(
Name="foo_secret", SecretString="foo_value"
)
bar_secret = mock_secretsmanager_resource.create_secret(
Name="bar_secret", SecretString="bar_value"
)
assert get_secrets_from_arns(
mock_secretsmanager_resource, [foo_secret["ARN"], bar_secret["ARN"]]
) == {"foo_secret": foo_secret["ARN"], "bar_secret": bar_secret["ARN"]}
baz_secret = mock_secretsmanager_resource.create_secret(
Name="baz_secret", SecretString="baz_value"
)
assert get_secrets_from_arns(
mock_secretsmanager_resource, [foo_secret["ARN"], bar_secret["ARN"], baz_secret["ARN"]]
) == {
"foo_secret": foo_secret["ARN"],
"bar_secret": bar_secret["ARN"],
"baz_secret": baz_secret["ARN"],
}
def test_get_tagged_secrets(mock_secretsmanager_resource):
assert get_tagged_secrets(mock_secretsmanager_resource, "dagster") == {}
foo_secret = mock_secretsmanager_resource.create_secret(
Name="foo_secret", SecretString="foo_value", Tags=[{"Key": "dagster", "Value": "foo"}]
)
assert get_tagged_secrets(mock_secretsmanager_resource, "dagster") == {
"foo_secret": foo_secret["ARN"]
}
mock_secretsmanager_resource.create_secret(
Name="bar_secret", SecretString="bar_value", Tags=[{"Key": "airflow", "Value": "bar"}]
)
assert get_tagged_secrets(mock_secretsmanager_resource, "dagster") == {
"foo_secret": foo_secret["ARN"]
}
baz_secret = mock_secretsmanager_resource.create_secret(
Name="baz_secret", SecretString="baz_value", Tags=[{"Key": "dagster", "Value": "baz"}]
)
assert get_tagged_secrets(mock_secretsmanager_resource, "dagster") == {
"foo_secret": foo_secret["ARN"],
"baz_secret": baz_secret["ARN"],
}
def test_secretmanager_secrets_resource(mock_secretsmanager_resource):
foo_secret = mock_secretsmanager_resource.create_secret(
Name="foo_secret", SecretString="foo_value", Tags=[{"Key": "dagster", "Value": "foo"}]
)
bar_secret = mock_secretsmanager_resource.create_secret(
Name="bar_secret", SecretString="bar_value", Tags=[{"Key": "airflow", "Value": "bar"}]
)
_baz_secret = mock_secretsmanager_resource.create_secret(
Name="baz_secret", SecretString="baz_value", Tags=[{"Key": "dagster", "Value": "baz"}]
)
asdf_secret = mock_secretsmanager_resource.create_secret(
Name="asdf_secret", SecretString="asdf_value"
)
# Test various compbinations of secret ARNs and secret tags
with secretsmanager_secrets_resource(
build_init_resource_context(config={"secrets": [foo_secret["ARN"]]})
) as secret_map:
assert secret_map == {"foo_secret": "foo_value"}
with secretsmanager_secrets_resource(
build_init_resource_context(config={"secrets": [foo_secret["ARN"], bar_secret["ARN"]]})
) as secret_map:
assert secret_map == {"foo_secret": "foo_value", "bar_secret": "bar_value"}
with secretsmanager_secrets_resource(
build_init_resource_context(config={"secrets_tag": "dagster"})
) as secret_map:
assert secret_map == {"foo_secret": "foo_value", "baz_secret": "baz_value"}
with secretsmanager_secrets_resource(
build_init_resource_context(
config={"secrets_tag": "dagster", "secrets": [asdf_secret["ARN"]]}
)
) as secret_map:
assert secret_map == {
"foo_secret": "foo_value",
"baz_secret": "baz_value",
"asdf_secret": "asdf_value",
}
assert os.getenv("foo_secret") is None
assert os.getenv("baz_secret") is None
assert os.getenv("asdf_secret") is None
# Test adding secrets to the environment
# Ensure env vars are overridden
with environ({"foo_secret": "prior_foo_value"}):
assert os.getenv("foo_secret") == "prior_foo_value"
with secretsmanager_secrets_resource(
build_init_resource_context(
config={
"secrets_tag": "dagster",
"secrets": [asdf_secret["ARN"]],
"add_to_environment": True,
}
)
) as secret_map:
assert secret_map == {
"foo_secret": "foo_value",
"baz_secret": "baz_value",
"asdf_secret": "asdf_value",
}
assert os.getenv("foo_secret") == "foo_value"
assert os.getenv("baz_secret") == "baz_value"
assert os.getenv("asdf_secret") == "asdf_value"
# Test JSON secret
json_secret_obj = {"key1": "value1", "key2": {"nest1": "value2", "nest2": "value3"}}
json_secret = mock_secretsmanager_resource.create_secret(
Name="json_secret",
SecretString=json.dumps(json_secret_obj),
)
with secretsmanager_secrets_resource(
build_init_resource_context(
config={
"secrets": [json_secret["ARN"]],
"add_to_environment": True,
}
)
) as secret_map:
assert json.loads(secret_map["json_secret"]) == json_secret_obj
assert json.loads(os.getenv("json_secret")) == json_secret_obj
# Binary secrets have a None value
binary_secret = mock_secretsmanager_resource.create_secret(
Name="binary_secret", SecretBinary=b"binary_value"
)
with secretsmanager_secrets_resource(
build_init_resource_context(
config={
"secrets": [binary_secret["ARN"]],
"add_to_environment": True,
}
)
) as secret_map:
assert secret_map == {
"binary_secret": None,
}
assert os.getenv("binary_secret") == None
| 37.512195
| 95
| 0.64922
| 683
| 6,152
| 5.462665
| 0.111274
| 0.069954
| 0.146341
| 0.102921
| 0.804074
| 0.760654
| 0.728759
| 0.690164
| 0.690164
| 0.675154
| 0
| 0.001474
| 0.228056
| 6,152
| 163
| 96
| 37.742331
| 0.784165
| 0.028771
| 0
| 0.425373
| 0
| 0
| 0.184956
| 0
| 0
| 0
| 0
| 0
| 0.164179
| 1
| 0.022388
| false
| 0
| 0.044776
| 0
| 0.067164
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a1d7aa80488448c97f2c97ca116141d68d9fcb9d
| 549
|
py
|
Python
|
tests/test_jobs.py
|
dmitrypol/covid19
|
18bdd43ebec409f51931cd497f792ad7a7ef8b1c
|
[
"MIT"
] | 3
|
2020-09-28T01:28:47.000Z
|
2022-02-13T12:19:37.000Z
|
tests/test_jobs.py
|
dmitrypol/covid19
|
18bdd43ebec409f51931cd497f792ad7a7ef8b1c
|
[
"MIT"
] | null | null | null |
tests/test_jobs.py
|
dmitrypol/covid19
|
18bdd43ebec409f51931cd497f792ad7a7ef8b1c
|
[
"MIT"
] | null | null | null |
import pytest
import vcr
from app import APP, jobs
def test_get_url():
test = jobs.get_url('http://localhost:5000')
assert test is None
@vcr.use_cassette('tests/fixtures/vcr_cassettes/import_data.yml')
def test_import_data():
test = jobs.import_data(date=APP.config.get('START_DATE'))
assert test is None
def _test_process_row():
pass
def test_format_date():
test = jobs._format_date('2020-03-28 23:05:37')
assert test == '03-28-2020'
test = jobs._format_date('3/23/20 23:45')
assert test == '03-23-2020'
| 21.115385
| 65
| 0.693989
| 90
| 549
| 4.022222
| 0.433333
| 0.077348
| 0.066298
| 0.088398
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094298
| 0.169399
| 549
| 25
| 66
| 21.96
| 0.699561
| 0
| 0
| 0.117647
| 0
| 0
| 0.23133
| 0.080146
| 0
| 0
| 0
| 0
| 0.235294
| 1
| 0.235294
| false
| 0.058824
| 0.352941
| 0
| 0.588235
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
a1d8d8c3e6848de4e2527072a3e600a5af28aaf9
| 190
|
py
|
Python
|
darksite/cms/apps.py
|
UNCDarkside/DarksiteAPI
|
a4bc1f4adee7ecfba840ad45da22513f88acbbd0
|
[
"MIT"
] | null | null | null |
darksite/cms/apps.py
|
UNCDarkside/DarksiteAPI
|
a4bc1f4adee7ecfba840ad45da22513f88acbbd0
|
[
"MIT"
] | 46
|
2018-12-19T06:53:37.000Z
|
2019-01-11T18:20:05.000Z
|
darksite/cms/apps.py
|
UNCDarkside/DarksiteAPI
|
a4bc1f4adee7ecfba840ad45da22513f88acbbd0
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
class CMSAppConfig(AppConfig):
name = "cms"
verbose_name = _("Content Management System")
| 23.75
| 55
| 0.768421
| 23
| 190
| 6.173913
| 0.782609
| 0.140845
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 190
| 7
| 56
| 27.142857
| 0.8875
| 0
| 0
| 0
| 0
| 0
| 0.147368
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a1e1db2f9ee7b52de7073cd78f1bbbc714b28666
| 356
|
py
|
Python
|
server/gunicorn_config.py
|
codelucas/socialrank
|
303b5f2a40902e281a16d0dd19d7aadb1143f750
|
[
"Apache-2.0"
] | 5
|
2015-08-07T09:17:24.000Z
|
2021-03-28T15:15:52.000Z
|
server/gunicorn_config.py
|
codelucas/socialrank
|
303b5f2a40902e281a16d0dd19d7aadb1143f750
|
[
"Apache-2.0"
] | null | null | null |
server/gunicorn_config.py
|
codelucas/socialrank
|
303b5f2a40902e281a16d0dd19d7aadb1143f750
|
[
"Apache-2.0"
] | null | null | null |
command = '/home/lucas/www/socialrank.lucasou.com/socialrank-env/bin/gunicorn'
pythonpath = '/home/lucas/www/socialrank.lucasou.com/socialrank-env/socialrank'
bind = '127.0.0.1:8080'
workers = 1
user = 'lucas'
accesslog = '/home/lucas/logs/socialrank.lucasou.com/gunicorn-access.log'
errorlog = '/home/lucas/logs/socialrank.lucasou.com/gunicorn-error.log'
| 44.5
| 79
| 0.772472
| 51
| 356
| 5.392157
| 0.470588
| 0.130909
| 0.290909
| 0.16
| 0.625455
| 0.625455
| 0.625455
| 0.327273
| 0
| 0
| 0
| 0.032836
| 0.058989
| 356
| 7
| 80
| 50.857143
| 0.78806
| 0
| 0
| 0
| 0
| 0
| 0.747191
| 0.69382
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a1fb0c602657ac4870a47d418ffb01ee12263bc5
| 35
|
py
|
Python
|
tests/__init__.py
|
CMeza99/lcs
|
e43d5c0e5c5d99ee931b1ab2ebe54e8d3783fd66
|
[
"Apache-2.0"
] | null | null | null |
tests/__init__.py
|
CMeza99/lcs
|
e43d5c0e5c5d99ee931b1ab2ebe54e8d3783fd66
|
[
"Apache-2.0"
] | null | null | null |
tests/__init__.py
|
CMeza99/lcs
|
e43d5c0e5c5d99ee931b1ab2ebe54e8d3783fd66
|
[
"Apache-2.0"
] | null | null | null |
"""Testing package for lcs_api."""
| 17.5
| 34
| 0.685714
| 5
| 35
| 4.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 35
| 1
| 35
| 35
| 0.741935
| 0.8
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b80f52f1448b30fe444b2693e53117ec846d584a
| 243
|
py
|
Python
|
profiles_api/admin.py
|
chiwenshi/profiles-rest-api
|
d8ae6c00f24f6e9d0309631d022520c99b1f7356
|
[
"MIT"
] | null | null | null |
profiles_api/admin.py
|
chiwenshi/profiles-rest-api
|
d8ae6c00f24f6e9d0309631d022520c99b1f7356
|
[
"MIT"
] | null | null | null |
profiles_api/admin.py
|
chiwenshi/profiles-rest-api
|
d8ae6c00f24f6e9d0309631d022520c99b1f7356
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from profiles_api import models
# this tells the Django admin to register our user profile model with the admin
# site so make it accessible through the admin interface
admin.site.register(models.UserProfile)
| 34.714286
| 79
| 0.823045
| 38
| 243
| 5.236842
| 0.684211
| 0.080402
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144033
| 243
| 6
| 80
| 40.5
| 0.956731
| 0.54321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
629721e4cd37f114d276f1a40240ac23650bf5f1
| 211
|
py
|
Python
|
yatai/yatai/__init__.py
|
jmc529/BentoML
|
96c1ec9e486d98930e24bbbac5b2991a6d416f97
|
[
"Apache-2.0"
] | null | null | null |
yatai/yatai/__init__.py
|
jmc529/BentoML
|
96c1ec9e486d98930e24bbbac5b2991a6d416f97
|
[
"Apache-2.0"
] | null | null | null |
yatai/yatai/__init__.py
|
jmc529/BentoML
|
96c1ec9e486d98930e24bbbac5b2991a6d416f97
|
[
"Apache-2.0"
] | null | null | null |
from yatai.configuration import inject_dependencies
from ._version import get_versions
__version__ = get_versions()["version"]
del get_versions
# Inject dependencies and configurations
inject_dependencies()
| 19.181818
| 51
| 0.834123
| 24
| 211
| 6.916667
| 0.5
| 0.325301
| 0.216867
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109005
| 211
| 10
| 52
| 21.1
| 0.882979
| 0.180095
| 0
| 0
| 0
| 0
| 0.040936
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
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| 0
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| null | 1
| 1
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
62e334570961361f45ffe22f51d24c5400e26bc1
| 170
|
py
|
Python
|
test/ignore/test_model_account.py
|
sofyan48/ADRINI_BILLING_INTEGRATION
|
545c044a8f96b083a9ff0aa2a319b01b9c254088
|
[
"MIT"
] | 1
|
2019-07-27T12:17:24.000Z
|
2019-07-27T12:17:24.000Z
|
test/ignore/test_model_account.py
|
meongbego/ADRINI_IOT_PLATFORM
|
0923b86a9d1da5d6859b70726ad1e041aecc97b2
|
[
"MIT"
] | 4
|
2021-04-18T11:41:31.000Z
|
2021-06-01T23:12:19.000Z
|
test/ignore/test_model_account.py
|
sofyan48/ADRINI_SSO_PLATFORM
|
4b57cbd2de991aa1c38313b50a7bf788b6d5e4e3
|
[
"MIT"
] | null | null | null |
import pytest
from app.models.account import *
class TestModelAccount:
def test_get_accounts(self, client):
data = Account.objects.all()
assert data
| 21.25
| 40
| 0.705882
| 21
| 170
| 5.619048
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217647
| 170
| 7
| 41
| 24.285714
| 0.887218
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
62ec5bff47afe641ea9b192686232789d8c434fd
| 118
|
py
|
Python
|
code/1004.py
|
minssoj/Learning_Algorithm_Up
|
45ec4e2eb4c07c9ec907a74dbd31370e1645c50b
|
[
"MIT"
] | null | null | null |
code/1004.py
|
minssoj/Learning_Algorithm_Up
|
45ec4e2eb4c07c9ec907a74dbd31370e1645c50b
|
[
"MIT"
] | null | null | null |
code/1004.py
|
minssoj/Learning_Algorithm_Up
|
45ec4e2eb4c07c9ec907a74dbd31370e1645c50b
|
[
"MIT"
] | null | null | null |
# [기초-출력] 출력하기04(설명)
# minso.jeong@daum.net
'''
문제링크 : https://www.codeup.kr/problem.php?id=1004
'''
print("'Hello'")
| 16.857143
| 48
| 0.635593
| 19
| 118
| 3.947368
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056075
| 0.09322
| 118
| 7
| 49
| 16.857143
| 0.64486
| 0.754237
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
1a05d52e5144a706d013d2a7aa1b69c9a78715b9
| 441
|
py
|
Python
|
roomservice/system/cpu.py
|
natict/roomservice
|
70d7e42c41844f34e9841c75f369f9542c2760b1
|
[
"MIT"
] | null | null | null |
roomservice/system/cpu.py
|
natict/roomservice
|
70d7e42c41844f34e9841c75f369f9542c2760b1
|
[
"MIT"
] | null | null | null |
roomservice/system/cpu.py
|
natict/roomservice
|
70d7e42c41844f34e9841c75f369f9542c2760b1
|
[
"MIT"
] | null | null | null |
import psutil
from flask_restful import Resource
from .. import common
class CpuLoad(Resource):
def get(self, interval=1, percpu=True):
return psutil.cpu_percent(interval=interval, percpu=percpu)
class CpuTimes(Resource):
def get(self, percpu=True):
return common.to_dict(psutil.cpu_times(percpu=percpu))
class CpuCores(Resource):
def get(self, logical=True):
return psutil.cpu_count(logical=True)
| 22.05
| 67
| 0.725624
| 59
| 441
| 5.338983
| 0.440678
| 0.104762
| 0.133333
| 0.171429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00274
| 0.172336
| 441
| 19
| 68
| 23.210526
| 0.860274
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
1a28f2b7d02f0ebe68fd30e45315ef4280a35598
| 269
|
py
|
Python
|
code/FeatureExtractionMode/TF_IDF/revkmer_TF_IDF.py
|
Zimiao1025/BioSeq-BLM
|
8e833d9a767d2585bbf1fbee987a065fc421e8e6
|
[
"BSD-2-Clause"
] | 2
|
2021-12-31T09:12:02.000Z
|
2022-03-21T13:45:57.000Z
|
code/FeatureExtractionMode/TF_IDF/revkmer_TF_IDF.py
|
Zimiao1025/BioSeq-BLM
|
8e833d9a767d2585bbf1fbee987a065fc421e8e6
|
[
"BSD-2-Clause"
] | null | null | null |
code/FeatureExtractionMode/TF_IDF/revkmer_TF_IDF.py
|
Zimiao1025/BioSeq-BLM
|
8e833d9a767d2585bbf1fbee987a065fc421e8e6
|
[
"BSD-2-Clause"
] | null | null | null |
from ..utils.utils_words import rev_km_words
from ..utils.utils_algorithm import tf_idf
def rev_km_tf_idf(input_file, alphabet, fixed_len, word_size, fixed=True):
corpus = rev_km_words(input_file, alphabet, fixed_len, word_size, fixed)
return tf_idf(corpus)
| 33.625
| 77
| 0.788104
| 45
| 269
| 4.333333
| 0.444444
| 0.076923
| 0.14359
| 0.225641
| 0.389744
| 0.389744
| 0.389744
| 0.389744
| 0
| 0
| 0
| 0
| 0.126394
| 269
| 7
| 78
| 38.428571
| 0.829787
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a7df930949b033fba2945518ee82daeebe73224a
| 93
|
py
|
Python
|
funilaria/apps.py
|
ph0980/OPE-IndyCar
|
c574c892c2d1bf633b2aa229ed13e0940184cff9
|
[
"Apache-2.0"
] | 2
|
2019-08-21T11:37:01.000Z
|
2019-10-01T13:53:22.000Z
|
funilaria/apps.py
|
ph0980/OPE-IndyCar
|
c574c892c2d1bf633b2aa229ed13e0940184cff9
|
[
"Apache-2.0"
] | 6
|
2020-06-05T23:06:08.000Z
|
2022-02-10T11:06:34.000Z
|
funilaria/apps.py
|
ph0980/OPE-IndyCar
|
c574c892c2d1bf633b2aa229ed13e0940184cff9
|
[
"Apache-2.0"
] | 1
|
2019-12-21T22:53:49.000Z
|
2019-12-21T22:53:49.000Z
|
from django.apps import AppConfig
class FunilariaConfig(AppConfig):
name = 'funilaria'
| 15.5
| 33
| 0.763441
| 10
| 93
| 7.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 93
| 5
| 34
| 18.6
| 0.910256
| 0
| 0
| 0
| 0
| 0
| 0.096774
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
c5053eb7961e03bc7c3aafe131ddd9637db12ec1
| 188
|
py
|
Python
|
sample_driver/models.py
|
ptrck/django-clone
|
5c868b65ac6a3e3367595f8aa54abc42ef0d0144
|
[
"MIT"
] | 55
|
2020-08-15T18:41:35.000Z
|
2022-03-29T09:53:02.000Z
|
sample_driver/models.py
|
ptrck/django-clone
|
5c868b65ac6a3e3367595f8aa54abc42ef0d0144
|
[
"MIT"
] | 236
|
2020-08-17T12:37:58.000Z
|
2022-03-31T11:04:19.000Z
|
sample_driver/models.py
|
ptrck/django-clone
|
5c868b65ac6a3e3367595f8aa54abc42ef0d0144
|
[
"MIT"
] | 6
|
2020-08-16T15:18:22.000Z
|
2022-02-02T09:59:34.000Z
|
from django.db import models
from model_clone import CloneMixin
class Driver(CloneMixin, models.Model):
name = models.CharField(max_length=255)
age = models.SmallIntegerField()
| 20.888889
| 43
| 0.771277
| 24
| 188
| 5.958333
| 0.708333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01875
| 0.148936
| 188
| 8
| 44
| 23.5
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
c51a41c86d60745b25d1c5c8e982b60416e980dc
| 182
|
py
|
Python
|
web_agent/agent/settings.py
|
jhshin0717/pae_cralwer
|
fff6bbf492893dd4b5638ed53c30de74acde80af
|
[
"Apache-2.0"
] | null | null | null |
web_agent/agent/settings.py
|
jhshin0717/pae_cralwer
|
fff6bbf492893dd4b5638ed53c30de74acde80af
|
[
"Apache-2.0"
] | null | null | null |
web_agent/agent/settings.py
|
jhshin0717/pae_cralwer
|
fff6bbf492893dd4b5638ed53c30de74acde80af
|
[
"Apache-2.0"
] | null | null | null |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DRIVER_CONFIG = {
'TYPE': 'Chrome_Headless',
'PATH': 'C:\chromedriver\chromedriver.exe'
}
| 18.2
| 70
| 0.697802
| 24
| 182
| 5
| 0.666667
| 0.15
| 0.216667
| 0.25
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131868
| 182
| 9
| 71
| 20.222222
| 0.759494
| 0
| 0
| 0
| 0
| 0
| 0.302198
| 0.175824
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
c51d06625027ae3eaedd2788c2644057436f3734
| 111
|
py
|
Python
|
databases/__init__.py
|
00Kai0/databases
|
fbe39bf057078226cf0620960ddcac6b1cbc7b7c
|
[
"BSD-3-Clause"
] | null | null | null |
databases/__init__.py
|
00Kai0/databases
|
fbe39bf057078226cf0620960ddcac6b1cbc7b7c
|
[
"BSD-3-Clause"
] | null | null | null |
databases/__init__.py
|
00Kai0/databases
|
fbe39bf057078226cf0620960ddcac6b1cbc7b7c
|
[
"BSD-3-Clause"
] | null | null | null |
from databases.core import Database, DatabaseURL
__version__ = "0.1.7"
__all__ = ["Database", "DatabaseURL"]
| 18.5
| 48
| 0.738739
| 13
| 111
| 5.692308
| 0.846154
| 0.513514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030928
| 0.126126
| 111
| 5
| 49
| 22.2
| 0.731959
| 0
| 0
| 0
| 0
| 0
| 0.216216
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c51eabbad4ef1fa03405d86a34b9f537b6abf96f
| 31
|
py
|
Python
|
tests/__init__.py
|
samwellzuk/py-lambda-packer
|
380d0b748d5e83dbdd58c87de532a26cccbb8ec8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
samwellzuk/py-lambda-packer
|
380d0b748d5e83dbdd58c87de532a26cccbb8ec8
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
samwellzuk/py-lambda-packer
|
380d0b748d5e83dbdd58c87de532a26cccbb8ec8
|
[
"MIT"
] | null | null | null |
"""Testing code lives here."""
| 15.5
| 30
| 0.645161
| 4
| 31
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 31
| 1
| 31
| 31
| 0.740741
| 0.774194
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c53120f54b5d3f488c9c407cf7ead58ba2ac8dd0
| 90
|
py
|
Python
|
examples/asyncio/__init__.py
|
Dreamsorcerer/sqlalchemy
|
153671df9d4cd7f2cdb3e14e6221f529269885d9
|
[
"MIT"
] | 5,383
|
2018-11-27T07:34:03.000Z
|
2022-03-31T19:40:59.000Z
|
examples/asyncio/__init__.py
|
Dreamsorcerer/sqlalchemy
|
153671df9d4cd7f2cdb3e14e6221f529269885d9
|
[
"MIT"
] | 2,719
|
2018-11-27T07:55:01.000Z
|
2022-03-31T22:09:44.000Z
|
examples/asyncio/__init__.py
|
Dreamsorcerer/sqlalchemy
|
153671df9d4cd7f2cdb3e14e6221f529269885d9
|
[
"MIT"
] | 1,056
|
2015-01-03T00:30:17.000Z
|
2022-03-15T12:56:24.000Z
|
"""
Examples illustrating the asyncio engine feature of SQLAlchemy.
.. autosource::
"""
| 12.857143
| 63
| 0.722222
| 9
| 90
| 7.222222
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155556
| 90
| 6
| 64
| 15
| 0.855263
| 0.888889
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c548acc3fd769a142fcdd5c3731cd51b54d52afc
| 171
|
py
|
Python
|
bin/django-admin.py
|
qkhan/trydjango
|
1a8789cb12e4609e5c201460589c29db9ebbe458
|
[
"MIT"
] | null | null | null |
bin/django-admin.py
|
qkhan/trydjango
|
1a8789cb12e4609e5c201460589c29db9ebbe458
|
[
"MIT"
] | null | null | null |
bin/django-admin.py
|
qkhan/trydjango
|
1a8789cb12e4609e5c201460589c29db9ebbe458
|
[
"MIT"
] | null | null | null |
#!/Users/qaisarkhan/Desktop/DjangoApps/Try-Django-1.8/bin/python
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 28.5
| 64
| 0.789474
| 23
| 171
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 4
|
c56e5364f873eaa9a4a094da4e4f1a814ca2deb8
| 139
|
py
|
Python
|
utils/__init__.py
|
JiwooKimAR/MWP-solver-with-pretrained-language-model
|
7fa723ba4485dd446840effc457d5ebcfef9357f
|
[
"MIT"
] | 5
|
2022-03-02T06:30:03.000Z
|
2022-03-23T13:01:20.000Z
|
utils/__init__.py
|
JiwooKimAR/MWP-solver-with-pretrained-language-model
|
7fa723ba4485dd446840effc457d5ebcfef9357f
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
JiwooKimAR/MWP-solver-with-pretrained-language-model
|
7fa723ba4485dd446840effc457d5ebcfef9357f
|
[
"MIT"
] | null | null | null |
from .Config import Config
from .ResultTable import ResultTable
from .Logger import Logger, make_log_dir
from .Tool import set_random_seed
| 27.8
| 40
| 0.841727
| 21
| 139
| 5.380952
| 0.571429
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| 139
| 4
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| 0
|
0
| 4
|
c5738d6edc7e69ff9eb6044c3782c0aabb6c85a1
| 140
|
py
|
Python
|
pycon_project/apps/boxes/admin.py
|
mitsuhiko/pycon
|
73688a82080539a1c0d575cf3248f55fefb6b9ba
|
[
"BSD-3-Clause"
] | 1
|
2017-09-04T08:19:08.000Z
|
2017-09-04T08:19:08.000Z
|
pycon_project/apps/boxes/admin.py
|
mitsuhiko/pycon
|
73688a82080539a1c0d575cf3248f55fefb6b9ba
|
[
"BSD-3-Clause"
] | null | null | null |
pycon_project/apps/boxes/admin.py
|
mitsuhiko/pycon
|
73688a82080539a1c0d575cf3248f55fefb6b9ba
|
[
"BSD-3-Clause"
] | null | null | null |
from django.contrib import admin
from boxes.models import Box
admin.site.register(Box,
list_display = ["label", "user", "content"]
)
| 15.555556
| 47
| 0.714286
| 19
| 140
| 5.210526
| 0.789474
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| 140
| 8
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|
0
| 4
|
3dbaac64c6cbd2640a0cf66390e7590916cfc552
| 26
|
py
|
Python
|
oldstuff/tutorial2/tutorial2/lib/python3.8/copy.py
|
miusuarioamigo/python-Le
|
dbb653255dab7d11b87f25eec94bcce63a86aa42
|
[
"MIT"
] | 6
|
2020-08-04T13:12:42.000Z
|
2020-08-16T13:26:19.000Z
|
oldstuff/tutorial2/tutorial2/lib/python3.8/copy.py
|
miusuarioamigo/python-Le
|
dbb653255dab7d11b87f25eec94bcce63a86aa42
|
[
"MIT"
] | 19
|
2020-02-03T10:46:48.000Z
|
2022-01-13T03:06:15.000Z
|
oldstuff/tutorial2/tutorial2/lib/python3.8/copy.py
|
miusuarioamigo/python-Le
|
dbb653255dab7d11b87f25eec94bcce63a86aa42
|
[
"MIT"
] | 6
|
2021-04-02T11:36:48.000Z
|
2022-03-22T09:39:34.000Z
|
/usr/lib/python3.8/copy.py
| 26
| 26
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| 6
| 26
| 3.333333
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| 26
| 0.692308
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| 0
| 0
|
0
| 4
|
3dd1c068c81d9fb64c1a088dd6cc1330bc950cae
| 16,187
|
py
|
Python
|
nipype/interfaces/dtitk/registration.py
|
eort/nipype
|
04d0159686a8d656905e9e06110287c6c60c1523
|
[
"Apache-2.0"
] | null | null | null |
nipype/interfaces/dtitk/registration.py
|
eort/nipype
|
04d0159686a8d656905e9e06110287c6c60c1523
|
[
"Apache-2.0"
] | null | null | null |
nipype/interfaces/dtitk/registration.py
|
eort/nipype
|
04d0159686a8d656905e9e06110287c6c60c1523
|
[
"Apache-2.0"
] | null | null | null |
from ..base import TraitedSpec, CommandLineInputSpec, traits, isdefined
from ...utils.filemanip import fname_presuffix
import os
from .base import CommandLineDtitk
class RigidInputSpec(CommandLineInputSpec):
fixed_file = traits.Str(desc="fixed diffusion tensor image",
exists=True, mandatory=True,
position=0, argstr="%s")
moving_file = traits.Str(desc="diffusion tensor image path", exists=True,
mandatory=True, position=1, argstr="%s")
similarity_metric = traits.Enum('EDS', 'GDS', 'DDS', 'NMI', exists=True,
mandatory=True, position=2, argstr="%s",
desc="similarity metric")
samplingX = traits.Float(mandatory=True, position=3, argstr="%s",
desc="dist between samp points (mm)",
default_value=4)
samplingY = traits.Float(mandatory=True, position=4, argstr="%s",
desc="dist between samp points (mm)",
default_value=4)
samplingZ = traits.Float(mandatory=True, position=5, argstr="%s",
desc="dist between samp points (mm)",
default_value=4)
ftol = traits.Float(mandatory=True, position=6, argstr="%s",
desc="cost function tolerance", default_value=0.01)
useInTrans = traits.Float(mandatory=False, position=7, argstr="%s",
desc="to initialize with existing xfm set as 1",
default_value=1)
class RigidOutputSpec(TraitedSpec):
out_file = traits.File(exists=True)
out_file_xfm = traits.File(exists=True)
class RigidTask(CommandLineDtitk):
"""
Performs rigid registration between two tensor volumes
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.RigidTask()
>>> node.inputs.fixed_file = 'diffusion.nii.gz'
>>> node.inputs.moving_file = 'diffusion2.nii.gz'
>>> node.inputs.similarity_metric = 'EDS'
>>> node.inputs.samplingX = 4
>>> node.inputs.samplingY = 4
>>> node.inputs.samplingZ = 4
>>> node.inputs.ftol = 0.01
>>> node.inputs.useInTrans = 1
>>> node.run() # doctest: +SKIP
"""
input_spec = RigidInputSpec
output_spec = RigidOutputSpec
_cmd = 'dti_rigid_reg'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file_xfm'] = self.inputs.moving_file.replace('.nii.gz',
'.aff')
outputs['out_file'] = self.inputs.moving_file.replace('.nii.gz',
'_aff.nii.gz')
return outputs
class AffineInputSpec(CommandLineInputSpec):
fixed_file = traits.Str(desc="fixed diffusion tensor image",
exists=True, mandatory=True,
position=0, argstr="%s")
moving_file = traits.Str(desc="diffusion tensor image path", exists=True,
mandatory=True, position=1, argstr="%s")
similarity_metric = traits.Enum('EDS', 'GDS', 'DDS', 'NMI', exists=True,
mandatory=True, position=2, argstr="%s",
desc="similarity metric")
samplingX = traits.Float(mandatory=True, position=3, argstr="%s",
desc="dist between samp points (mm)",
default_value=4)
samplingY = traits.Float(mandatory=True, position=4, argstr="%s",
desc="dist between samp points (mm)",
default_value=4)
samplingZ = traits.Float(mandatory=True, position=5, argstr="%s",
desc="dist between samp points (mm)",
default_value=4)
ftol = traits.Float(mandatory=True, position=6, argstr="%s",
desc="cost function tolerance", default_value=0.01)
useInTrans = traits.Float(mandatory=False, position=7, argstr="%s",
desc="to initialize with existing xfm set as 1",
default_value=1)
class AffineOutputSpec(TraitedSpec):
out_file = traits.File(exists=True)
out_file_xfm = traits.File(exists=True)
class AffineTask(CommandLineDtitk):
"""
Performs affine registration between two tensor volumes
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.AffineTask()
>>> node.inputs.fixed_file = 'diffusion.nii.gz'
>>> node.inputs.moving_file = 'diffusion2.nii.gz'
>>> node.inputs.similarity_metric = 'EDS'
>>> node.inputs.samplingX = 4
>>> node.inputs.samplingY = 4
>>> node.inputs.samplingZ = 4
>>> node.inputs.ftol = 0.01
>>> node.inputs.useInTrans = 1
>>> node.run() # doctest: +SKIP
"""
input_spec = AffineInputSpec
output_spec = AffineOutputSpec
_cmd = 'dti_affine_reg'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file_xfm'] = self.inputs.moving_file.replace('.nii.gz',
'.aff')
outputs['out_file'] = self.inputs.moving_file.replace('.nii.gz',
'_aff.nii.gz')
return outputs
class DiffeoInputSpec(CommandLineInputSpec):
fixed_file = traits.Str(desc="fixed diffusion tensor image",
exists=True, mandatory=False, position=0,
argstr="%s")
moving_file = traits.Str(desc="moving diffusion tensor image",
exists=True, mandatory=False,
position=1, argstr="%s")
mask = traits.Str(desc="mask", exists=True, mandatory=False, position=2,
argstr="%s")
legacy = traits.Float(desc="legacy parameter; always set to 1",
exists=True, mandatory=True,
position=3, default_value=1, argstr="%s")
n_iters = traits.Float(desc="number of iterations",
exists=True, mandatory=True,
position=4, default_value=6, argstr="%s")
ftol = traits.Float(desc="iteration for the optimization to stop",
exists=True, mandatory=True,
position=5, default_value=0.002, argstr="%s")
class DiffeoOutputSpec(TraitedSpec):
out_file = traits.File(exists=True)
out_file_xfm = traits.File(exists=True)
class DiffeoTask(CommandLineDtitk):
"""
Performs diffeomorphic registration between two tensor volumes
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.DiffeoTask()
>>> node.inputs.fixed_file = 'diffusion.nii.gz'
>>> node.inputs.moving_file = 'diffusion2.nii.gz'
>>> node.inputs.mask = 'mask.nii.gz'
>>> node.inputs.legacy = 1
>>> node.inputs.n_iters = 6
>>> node.inputs.ftol = 0.002
>>> node.run() # doctest: +SKIP
"""
input_spec = DiffeoInputSpec
output_spec = DiffeoOutputSpec
_cmd = 'dti_diffeomorphic_reg'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file_xfm'] = self.inputs.moving_file.replace(
'.nii.gz', '_diffeo.df.nii.gz')
outputs['out_file'] = self.inputs.moving_file.replace(
'.nii.gz', '_diffeo.nii.gz')
return outputs
class ComposeXfmInputSpec(CommandLineInputSpec):
in_df = traits.Str(desc='diffeomorphic file.df.nii.gz', exists=True,
mandatory=False, position=1, argstr="-df %s")
in_aff = traits.Str(desc='affine file.aff', exists=True, mandatory=False,
position=0, argstr="-aff %s")
out_file = traits.Str(desc='output_path', exists=True, mandatory=False,
position=2, argstr="-out %s", name_source="in_df",
name_template="%s_comboaff.nii.gz")
class ComposeXfmOutputSpec(TraitedSpec):
out_file = traits.File(desc='cheese', exists=True)
class ComposeXfmTask(CommandLineDtitk):
"""
Combines diffeomorphic and affine transforms
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.ComposeXfmTask()
>>> node.inputs.in_df = 'ants_Warp.nii.gz'
>>> node.inputs.in_aff= 'ants_Affine.txt'
>>> node.run() # doctest: +SKIP
"""
input_spec = ComposeXfmInputSpec
output_spec = ComposeXfmOutputSpec
_cmd = 'dfRightComposeAffine'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file'] = self.inputs.in_df.replace('.df.nii.gz',
'_combo.df.nii.gz')
return outputs
class diffeoSymTensor3DVolInputSpec(CommandLineInputSpec):
in_tensor = traits.Str(desc='moving tensor', exists=True, mandatory=False,
position=0, argstr="-in %s")
in_xfm = traits.Str(desc='transform to apply', exists=True,
mandatory=False,
position=1, argstr="-trans %s")
in_target = traits.Str(desc='', exists=True, mandatory=False, position=2,
argstr="-target %s")
out_file = traits.Str(desc='', exists=True, mandatory=False, position=3,
argstr="-out %s", name_source="in_tensor",
name_template="%s_diffeoxfmd.nii.gz")
class diffeoSymTensor3DVolOutputSpec(TraitedSpec):
out_file = traits.File(desc='cheese', exists=True)
class diffeoSymTensor3DVolTask(CommandLineDtitk):
"""
Applies diffeomorphic transform to a tensor volume
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.diffeoSymTensor3DVolTask()
>>> node.inputs.in_tensor = 'diffusion.nii'
>>> node.inputs.in_xfm = 'ants_Warp.nii.gz'
>>> node.run() # doctest: +SKIP
"""
input_spec = diffeoSymTensor3DVolInputSpec
output_spec = diffeoSymTensor3DVolOutputSpec
_cmd = 'deformationSymTensor3DVolume'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file'] = self.inputs.out_file
return outputs
class affSymTensor3DVolInputSpec(CommandLineInputSpec):
in_tensor = traits.Str(desc='moving tensor', exists=True, mandatory=False,
position=0, argstr="-in %s")
in_xfm = traits.Str(desc='transform to apply', exists=True,
mandatory=False, position=1, argstr="-trans %s")
in_target = traits.Str(desc='', exists=True, mandatory=False, position=2,
argstr="-target %s")
out_file = traits.Str(desc='', exists=True, mandatory=False, position=3,
argstr="-out %s", name_source="in_tensor",
name_template="%s_affxfmd.nii.gz")
class affSymTensor3DVolOutputSpec(TraitedSpec):
out_file = traits.File(desc='cheese', exists=True)
class affSymTensor3DVolTask(CommandLineDtitk):
"""
Applies affine transform to a tensor volume
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.affSymTensor3DVolTask()
>>> node.inputs.in_tensor = 'diffusion.nii'
>>> node.inputs.in_xfm = 'ants_Affine.txt'
>>> node.run() # doctest: +SKIP
"""
input_spec = affSymTensor3DVolInputSpec
output_spec = affSymTensor3DVolOutputSpec
_cmd = 'affineSymTensor3DVolume'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file'] = os.path.abspath(self.inputs.out_file)
return outputs
class affScalarVolInputSpec(CommandLineInputSpec):
in_volume = traits.Str(desc='moving volume', exists=True, mandatory=False,
position=0, argstr="-in %s")
in_xfm = traits.Str(desc='transform to apply', exists=True,
mandatory=False,
position=1, argstr="-trans %s")
in_target = traits.Str(desc='', position=2, argstr="-target %s")
out_file = traits.Str(desc='', mandatory=False, position=3,
argstr="-out %s", name_source="in_volume",
name_template="%s_affxfmd.nii.gz")
class affScalarVolOutputSpec(TraitedSpec):
out_file = traits.File(desc='moved volume', exists=True)
class affScalarVolTask(CommandLineDtitk):
"""
Applies affine transform to a scalar volume
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.affScalarVolTask()
>>> node.inputs.in_volume = 'fa.nii.gz'
>>> node.inputs.in_xfm = 'ants_Affine.txt'
>>> node.run() # doctest: +SKIP
"""
input_spec = affScalarVolInputSpec
output_spec = affScalarVolOutputSpec
_cmd = 'affineScalarVolume'
def _list_outputs(self):
outputs = self.output_spec().get()
outputs['out_file'] = os.path.abspath(self.inputs.out_file)
return outputs
class diffeoScalarVolInputSpec(CommandLineInputSpec):
in_volume = traits.Str(desc='moving volume', exists=True, mandatory=False,
position=0, argstr="-in %s")
in_xfm = traits.Str(desc='transform to apply', exists=True,
mandatory=False,
position=2, argstr="-trans %s")
in_target = traits.Str(desc='', exists=True, mandatory=False, position=3,
argstr="-target %s")
out_file = traits.Str(desc='', position=1, argstr="-out %s",
name_source="in_volume",
name_template="%s_diffeoxfmd.nii.gz")
in_vsize = traits.Str(desc='', exists=True, mandatory=False, position=4,
argstr="-vsize %s")
in_flip = traits.Str(desc='', exists=True, mandatory=False, position=5,
argstr="-flip %s")
in_type = traits.Str(desc='', exists=True, mandatory=False, position=6,
argstr="-type %s")
in_interp = traits.Str(desc='0 trilin, 1 NN', exists=True, mandatory=False,
position=7, argstr="-interp %s")
class diffeoScalarVolOutputSpec(TraitedSpec):
out_file = traits.File(desc='moved volume', exists=True)
class diffeoScalarVolTask(CommandLineDtitk):
"""
Applies diffeomorphic transform to a scalar volume
Example
-------
>>> import nipype.interfaces.dtitk as dtitk
>>> node = dtitk.diffeoScalarVolTask()
>>> node.inputs.in_volume = 'fa.nii.gz'
>>> node.inputs.in_xfm = 'ants_Warp.nii.gz'
>>> node.run() # doctest: +SKIP
"""
input_spec = diffeoScalarVolInputSpec
output_spec = diffeoScalarVolOutputSpec
_cmd = 'deformationScalarVolume'
def _list_outputs(self):
outputs = self.output_spec().get()
if not isdefined(self.inputs.out_file):
self.inputs.out_file = fname_presuffix(self.inputs.in_volume,
suffix="_diffeoxfmd",
newpath=os.path.abspath(
"."))
outputs['out_file'] = os.path.abspath(self.inputs.out_file)
return outputs
| 40.979747
| 79
| 0.557299
| 1,629
| 16,187
| 5.418048
| 0.113567
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| 0
| 0
| 1
| 0
|
0
| 4
|
3def8b29191f46898efd5e3769dd0b9aee98e194
| 251
|
py
|
Python
|
mlts/tf/__init__.py
|
manifest/machine-learning-toolset
|
c7875ca20f4623bd9bad081c4def8859b9000814
|
[
"MIT"
] | null | null | null |
mlts/tf/__init__.py
|
manifest/machine-learning-toolset
|
c7875ca20f4623bd9bad081c4def8859b9000814
|
[
"MIT"
] | null | null | null |
mlts/tf/__init__.py
|
manifest/machine-learning-toolset
|
c7875ca20f4623bd9bad081c4def8859b9000814
|
[
"MIT"
] | null | null | null |
from mlts.tf import adapter
from mlts.tf import generator
import tensorflow as tf
def to_dataset(dss, batch_size):
"""Convert to tf.data.Dataset"""
return tuple(map(lambda ds: tf.data.Dataset.from_tensor_slices(ds).batch(batch_size), dss))
| 25.1
| 95
| 0.752988
| 41
| 251
| 4.487805
| 0.560976
| 0.086957
| 0.108696
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135458
| 251
| 9
| 96
| 27.888889
| 0.847926
| 0.103586
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.6
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9a84ff16f7c5f0dac8e420d4595705e24c20980a
| 71
|
py
|
Python
|
src/olympus/surfaces/surface_narrow_funnel/__init__.py
|
priyansh-1902/olympus
|
f57ad769918c0d5d805c439ab5ffbd180af698fa
|
[
"MIT"
] | 36
|
2020-10-10T14:05:40.000Z
|
2022-02-12T07:21:47.000Z
|
src/olympus/surfaces/surface_narrow_funnel/__init__.py
|
kiminh/olympus
|
054f7b4012faf6e516b5e4c895093c9fea0c793f
|
[
"MIT"
] | 12
|
2020-10-14T09:04:06.000Z
|
2021-10-01T19:25:34.000Z
|
src/olympus/surfaces/surface_narrow_funnel/__init__.py
|
kiminh/olympus
|
054f7b4012faf6e516b5e4c895093c9fea0c793f
|
[
"MIT"
] | 8
|
2020-10-24T12:43:45.000Z
|
2022-02-12T07:21:50.000Z
|
#!/usr/bin/env python
from .wrapper_narrow_funnel import NarrowFunnel
| 17.75
| 47
| 0.816901
| 10
| 71
| 5.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098592
| 71
| 3
| 48
| 23.666667
| 0.875
| 0.28169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9ab0706281c5b375407d6c6af422e7e36f9540ef
| 157
|
py
|
Python
|
test/units/LambdaApiUserContact_test.py
|
praktikos/praktikos-template-python
|
324c7640ee05469fba87a7ec64d6ac61675b259e
|
[
"MIT"
] | null | null | null |
test/units/LambdaApiUserContact_test.py
|
praktikos/praktikos-template-python
|
324c7640ee05469fba87a7ec64d6ac61675b259e
|
[
"MIT"
] | null | null | null |
test/units/LambdaApiUserContact_test.py
|
praktikos/praktikos-template-python
|
324c7640ee05469fba87a7ec64d6ac61675b259e
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# noinspection PyUnusedLocal
def test(empty_database, create_and_delete_user, create_login_session, create_user_contact):
pass
| 22.428571
| 92
| 0.770701
| 20
| 157
| 5.65
| 0.85
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007299
| 0.127389
| 157
| 6
| 93
| 26.166667
| 0.817518
| 0.305732
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
9ab16e021285d83056b472c7c88e5032a18fbe8f
| 107
|
py
|
Python
|
demo/custom/__init__.py
|
ZJCV/TSN
|
ec6ad668d20f477df44eab7035e2553d95a835f3
|
[
"Apache-2.0"
] | 2
|
2021-11-29T10:29:40.000Z
|
2022-03-22T02:39:44.000Z
|
demo/mmaction2/__init__.py
|
ZJCV/TSN
|
ec6ad668d20f477df44eab7035e2553d95a835f3
|
[
"Apache-2.0"
] | 1
|
2022-03-13T09:28:52.000Z
|
2022-03-13T09:28:52.000Z
|
demo/custom/__init__.py
|
ZJCV/TSN
|
ec6ad668d20f477df44eab7035e2553d95a835f3
|
[
"Apache-2.0"
] | 1
|
2021-03-09T08:14:22.000Z
|
2021-03-09T08:14:22.000Z
|
# -*- coding: utf-8 -*-
"""
@date: 2020/10/30 下午3:22
@file: __init__.py.py
@author: zj
@description:
"""
| 11.888889
| 24
| 0.579439
| 16
| 107
| 3.625
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 0.158879
| 107
| 8
| 25
| 13.375
| 0.511111
| 0.897196
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9ac3bc68cbe794d080fb28b664a3b9784162a521
| 10,131
|
py
|
Python
|
tests/test_symbol.py
|
mattdoug604/ensembl_map
|
5edb8a48943df4b53effe3cd7ddf4d461fdd4bae
|
[
"MIT"
] | null | null | null |
tests/test_symbol.py
|
mattdoug604/ensembl_map
|
5edb8a48943df4b53effe3cd7ddf4d461fdd4bae
|
[
"MIT"
] | 1
|
2020-03-24T18:20:15.000Z
|
2020-03-25T22:56:06.000Z
|
tests/test_symbol.py
|
mattdoug604/ensembl_map
|
5edb8a48943df4b53effe3cd7ddf4d461fdd4bae
|
[
"MIT"
] | null | null | null |
import unittest
from ensembl_map.ensembl import set_ensembl_release
from ensembl_map.symbol import (
get_exons,
get_exon_ids,
get_genes,
get_gene_ids,
get_protein_ids,
get_transcripts,
get_transcript_ids,
)
# TODO: Mock Cache object instead of needing to download annotations to run tests.
set_ensembl_release(release=99, species="human", download_if_missing=True)
class TestExon(unittest.TestCase):
def test_exon_ids_from_cds(self):
ret_by_id = get_exon_ids("ENST00000288135", "cds")
ret_by_name = get_exon_ids("KIT-201", "cds")
self.assertTrue("ENSE00001074448" in ret_by_id)
self.assertTrue("ENSE00001074448" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_exon_ids_from_exon(self):
ret_by_id = get_exon_ids("ENSE00001074448", "exon")
self.assertTrue("ENSE00001074448" in ret_by_id)
def test_exon_ids_from_gene(self):
ret_by_id = get_exon_ids("ENSG00000157404", "gene")
ret_by_name = get_exon_ids("KIT", "gene")
self.assertTrue("ENSE00001074448" in ret_by_id)
self.assertTrue("ENSE00001074448" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_exon_ids_from_protein(self):
ret_by_id = get_exon_ids("ENSP00000288135", "protein")
self.assertTrue("ENSE00001074448" in ret_by_id)
def test_exon_ids_from_transcript(self):
ret_by_id = get_exon_ids("ENST00000288135", "transcript")
ret_by_name = get_exon_ids("KIT-201", "transcript")
self.assertTrue("ENSE00001074448" in ret_by_id)
self.assertTrue("ENSE00001074448" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_exon_from_cds(self):
ret_by_id = get_exons("ENST00000288135", "cds")
ret_by_name = get_exons("KIT-201", "cds")
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_id])
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
def test_exon_from_exon(self):
ret_by_id = get_exons("ENSE00001074448", "exon")
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_id])
def test_exon_from_gene(self):
ret_by_id = get_exons("ENSG00000157404", "gene")
ret_by_name = get_exons("KIT", "gene")
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_id])
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
def test_exon_from_protein(self):
ret_by_id = get_exons("ENSP00000288135", "protein")
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_id])
def test_exon_from_transcript(self):
ret_by_id = get_exons("ENST00000288135", "transcript")
ret_by_name = get_exons("KIT-201", "transcript")
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_id])
self.assertTrue("ENSE00001074448" in [i.exon_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
class TestGene(unittest.TestCase):
def test_gene_ids_from_cds(self):
ret_by_id = get_gene_ids("ENST00000288135", "cds")
ret_by_name = get_gene_ids("KIT-201", "cds")
self.assertTrue("ENSG00000157404" in ret_by_id)
self.assertTrue("ENSG00000157404" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_gene_ids_from_exon(self):
ret_by_id = get_gene_ids("ENSE00001074448", "exon")
self.assertTrue("ENSG00000157404" in ret_by_id)
def test_gene_ids_from_gene(self):
ret_by_id = get_gene_ids("ENSG00000157404", "gene")
ret_by_name = get_gene_ids("KIT", "gene")
self.assertTrue("ENSG00000157404" in ret_by_id)
self.assertTrue("ENSG00000157404" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_gene_ids_from_protein(self):
ret_by_id = get_gene_ids("ENSP00000288135", "protein")
self.assertTrue("ENSG00000157404" in ret_by_id)
def test_gene_ids_from_transcript(self):
ret_by_id = get_gene_ids("ENST00000288135", "transcript")
ret_by_name = get_gene_ids("KIT-201", "transcript")
self.assertTrue("ENSG00000157404" in ret_by_id)
self.assertTrue("ENSG00000157404" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_gene_from_cds(self):
ret_by_id = get_genes("ENST00000288135", "cds")
ret_by_name = get_genes("KIT-201", "cds")
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_id])
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
def test_gene_from_exon(self):
ret_by_id = get_genes("ENSE00001074448", "exon")
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_id])
def test_gene_from_gene(self):
ret_by_id = get_genes("ENSG00000157404", "gene")
ret_by_name = get_genes("KIT", "gene")
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_id])
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
def test_gene_from_protein(self):
ret_by_id = get_genes("ENSP00000288135", "protein")
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_id])
def test_gene_from_transcript(self):
ret_by_id = get_genes("ENST00000288135", "transcript")
ret_by_name = get_genes("KIT-201", "transcript")
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_id])
self.assertTrue("ENSG00000157404" in [i.gene_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
class TestProtein(unittest.TestCase):
def test_protein_ids_from_cds(self):
ret_by_id = get_protein_ids("ENST00000288135", "cds")
ret_by_name = get_protein_ids("KIT-201", "transcript")
self.assertTrue("ENSP00000288135" in ret_by_id)
self.assertTrue("ENSP00000288135" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_protein_ids_from_exon(self):
ret_by_id = get_protein_ids("ENSE00001074448", "exon")
self.assertTrue("ENSP00000288135" in ret_by_id)
def test_protein_ids_from_gene(self):
ret_by_id = get_protein_ids("ENSG00000157404", "gene")
ret_by_name = get_protein_ids("KIT", "gene")
self.assertTrue("ENSP00000288135" in ret_by_id)
self.assertTrue("ENSP00000288135" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_protein_ids_from_protein(self):
ret_by_id = get_protein_ids("ENSP00000288135", "protein")
self.assertTrue("ENSP00000288135" in ret_by_id)
def test_protein_ids_from_transcript(self):
ret_by_id = get_protein_ids("ENST00000288135", "transcript")
ret_by_name = get_protein_ids("KIT-201", "transcript")
self.assertTrue("ENSP00000288135" in ret_by_id)
self.assertTrue("ENSP00000288135" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
class TestTranscript(unittest.TestCase):
def test_transcript_ids_from_cds(self):
ret_by_id = get_transcript_ids("ENST00000288135", "cds")
ret_by_name = get_transcript_ids("KIT-201", "cds")
self.assertTrue("ENST00000288135" in ret_by_id)
self.assertTrue("ENST00000288135" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_transcript_ids_from_exon(self):
ret_by_id = get_transcript_ids("ENSE00001074448", "exon")
self.assertTrue("ENST00000288135" in ret_by_id)
def test_transcript_ids_from_gene(self):
ret_by_id = get_transcript_ids("ENSG00000157404", "gene")
ret_by_name = get_transcript_ids("KIT", "gene")
self.assertTrue("ENST00000288135" in ret_by_id)
self.assertTrue("ENST00000288135" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_transcript_ids_from_protein(self):
ret_by_id = get_transcript_ids("ENSP00000288135", "protein")
self.assertTrue("ENST00000288135" in ret_by_id)
def test_transcript_ids_from_transcript(self):
ret_by_id = get_transcript_ids("ENST00000288135", "transcript")
ret_by_name = get_transcript_ids("KIT-201", "transcript")
self.assertTrue("ENST00000288135" in ret_by_id)
self.assertTrue("ENST00000288135" in ret_by_name)
self.assertEqual(ret_by_id, ret_by_name)
def test_transcript_from_cds(self):
ret_by_id = get_transcripts("ENST00000288135", "cds")
ret_by_name = get_transcripts("KIT-201", "cds")
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_id])
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
def test_transcript_from_exon(self):
ret_by_id = get_transcripts("ENSE00003659301", "exon")
self.assertTrue("ENST00000380152" in [i.transcript_id for i in ret_by_id])
def test_transcript_from_gene(self):
ret_by_id = get_transcripts("ENSG00000157404", "gene")
ret_by_name = get_transcripts("KIT", "gene")
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_id])
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
def test_transcript_from_protein(self):
ret_by_id = get_transcripts("ENSP00000288135", "protein")
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_id])
def test_transcript_from_transcript(self):
ret_by_id = get_transcripts("ENST00000288135", "transcript")
ret_by_name = get_transcripts("KIT-201", "transcript")
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_id])
self.assertTrue("ENST00000288135" in [i.transcript_id for i in ret_by_name])
self.assertEqual(ret_by_id, ret_by_name)
| 44.434211
| 84
| 0.707926
| 1,445
| 10,131
| 4.57301
| 0.042907
| 0.116525
| 0.096398
| 0.058263
| 0.932506
| 0.9148
| 0.845642
| 0.695823
| 0.57839
| 0.57839
| 0
| 0.127222
| 0.189221
| 10,131
| 227
| 85
| 44.629956
| 0.677258
| 0.007897
| 0
| 0.423913
| 0
| 0
| 0.180217
| 0
| 0
| 0
| 0
| 0.004405
| 0.418478
| 1
| 0.190217
| false
| 0
| 0.016304
| 0
| 0.228261
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9ac5ba3b6d1fc3d5c988e98c1d294fd857b96812
| 103
|
py
|
Python
|
CircuitPython_Made_Easy_On_CPX/cpx_slide_switch.py
|
Chompworks/Adafruit_Learning_System_Guides
|
070ca6d8c3cca1ff5c5c6a457c533fa9ba905d00
|
[
"MIT"
] | null | null | null |
CircuitPython_Made_Easy_On_CPX/cpx_slide_switch.py
|
Chompworks/Adafruit_Learning_System_Guides
|
070ca6d8c3cca1ff5c5c6a457c533fa9ba905d00
|
[
"MIT"
] | null | null | null |
CircuitPython_Made_Easy_On_CPX/cpx_slide_switch.py
|
Chompworks/Adafruit_Learning_System_Guides
|
070ca6d8c3cca1ff5c5c6a457c533fa9ba905d00
|
[
"MIT"
] | 1
|
2018-07-16T15:47:52.000Z
|
2018-07-16T15:47:52.000Z
|
from adafruit_circuitplayground.express import cpx
while True:
print("Slide switch:", cpx.switch)
| 20.6
| 50
| 0.776699
| 13
| 103
| 6.076923
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135922
| 103
| 4
| 51
| 25.75
| 0.88764
| 0
| 0
| 0
| 0
| 0
| 0.126214
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9ac88e385ab7677c704cf46e87d5a9c77e541ed9
| 83
|
py
|
Python
|
src/starter/apps.py
|
rehive/django-starter
|
4eaec738cea740addb73623c7173f546b55e1c84
|
[
"MIT"
] | 2
|
2018-06-27T15:46:43.000Z
|
2021-08-16T19:04:58.000Z
|
src/starter/apps.py
|
rehive/django-starter
|
4eaec738cea740addb73623c7173f546b55e1c84
|
[
"MIT"
] | 1
|
2017-07-20T13:12:43.000Z
|
2017-07-20T13:12:43.000Z
|
src/starter/apps.py
|
rehive/django-starter
|
4eaec738cea740addb73623c7173f546b55e1c84
|
[
"MIT"
] | 5
|
2017-06-10T16:22:49.000Z
|
2021-07-29T22:18:21.000Z
|
from django.apps import AppConfig
class Starter(AppConfig):
name = 'starter'
| 13.833333
| 33
| 0.73494
| 10
| 83
| 6.1
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180723
| 83
| 5
| 34
| 16.6
| 0.897059
| 0
| 0
| 0
| 0
| 0
| 0.084337
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9aef334772cd9e37c7b65c50a746098338588fdb
| 361
|
py
|
Python
|
src/python/pants/backend/python/lint/black/register.py
|
anthonyjpratti/pants
|
d98e53af6ddd877861231bce8343f8204da0a9d1
|
[
"Apache-2.0"
] | null | null | null |
src/python/pants/backend/python/lint/black/register.py
|
anthonyjpratti/pants
|
d98e53af6ddd877861231bce8343f8204da0a9d1
|
[
"Apache-2.0"
] | null | null | null |
src/python/pants/backend/python/lint/black/register.py
|
anthonyjpratti/pants
|
d98e53af6ddd877861231bce8343f8204da0a9d1
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2019 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.backend.python.lint.black import rules as black_rules
from pants.backend.python.targets import formattable_python_target
def rules():
return (
*black_rules.rules(),
*formattable_python_target.rules(),
)
| 25.785714
| 66
| 0.767313
| 48
| 361
| 5.645833
| 0.583333
| 0.066421
| 0.118081
| 0.162362
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019355
| 0.141274
| 361
| 13
| 67
| 27.769231
| 0.854839
| 0.34903
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| true
| 0
| 0.285714
| 0.142857
| 0.571429
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
9afbf8b44389526200c69953110959e170272a94
| 716
|
py
|
Python
|
build/lib/error_generator/strategies/utilities/apply_function.py
|
BigDaMa/error-generator
|
7d8949fc8fb00b6285c7c220dbda7451dc152e44
|
[
"Apache-2.0"
] | 2
|
2018-11-11T07:52:51.000Z
|
2019-06-19T05:44:55.000Z
|
build/lib.linux-x86_64-2.7/error_generator/strategies/utilities/apply_function.py
|
BigDaMa/error-generator
|
7d8949fc8fb00b6285c7c220dbda7451dc152e44
|
[
"Apache-2.0"
] | 5
|
2018-07-20T15:08:23.000Z
|
2018-11-21T13:18:01.000Z
|
error_generator/strategies/utilities/apply_function.py
|
BigDaMa/error-generator
|
7d8949fc8fb00b6285c7c220dbda7451dc152e44
|
[
"Apache-2.0"
] | 1
|
2020-11-25T15:16:16.000Z
|
2020-11-25T15:16:16.000Z
|
class Apply_Function(object):
def __init__(self):
pass
def apply_function(self,number_change,list_selected_value,method,dataset):
print("---------Change according to {} method ---------------\n".format(method.name))
for i in range(number_change):
#run(row,col,value,dataset)
result = method.run(list_selected_value[i][0],list_selected_value[i][1],list_selected_value[i][2],dataset)
dataset[list_selected_value[i][0]][list_selected_value[i][1]] = result
print("row: {} col: {} : '{}' changed to '{}' ".format(list_selected_value[i][0], list_selected_value[i][1],list_selected_value[i][2], result))
return dataset
| 51.142857
| 156
| 0.625698
| 94
| 716
| 4.489362
| 0.361702
| 0.255924
| 0.362559
| 0.341232
| 0.36019
| 0.36019
| 0.36019
| 0.36019
| 0.36019
| 0.36019
| 0
| 0.013937
| 0.198324
| 716
| 14
| 157
| 51.142857
| 0.721254
| 0.036313
| 0
| 0
| 0
| 0
| 0.13913
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.1
| 0
| 0
| 0.4
| 0.2
| 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
| 0
| 0
|
0
| 4
|
b1134f61c947de40cc88a874aa94afa524dfd069
| 225
|
py
|
Python
|
src/healthnet/viewLog/templatetags/app_filters.py
|
blackpan2/HealthNet
|
455402c4e437d3ef4136bfdfa8459fa31c06b069
|
[
"MIT"
] | null | null | null |
src/healthnet/viewLog/templatetags/app_filters.py
|
blackpan2/HealthNet
|
455402c4e437d3ef4136bfdfa8459fa31c06b069
|
[
"MIT"
] | null | null | null |
src/healthnet/viewLog/templatetags/app_filters.py
|
blackpan2/HealthNet
|
455402c4e437d3ef4136bfdfa8459fa31c06b069
|
[
"MIT"
] | null | null | null |
from django import template
from django.contrib.auth.models import User
register = template.Library()
@register.filter(name="urlTime")
def urlTime(request):
return "http://127.0.0.1:8000/healthnet/system/log/timedown"
| 22.5
| 64
| 0.764444
| 32
| 225
| 5.375
| 0.78125
| 0.116279
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.049505
| 0.102222
| 225
| 9
| 65
| 25
| 0.80198
| 0
| 0
| 0
| 0
| 0
| 0.258929
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
b1233f9c590b5860ff566b39d7dfe4a72d6b55ad
| 69
|
py
|
Python
|
rime/plugins/summary/__init__.py
|
ktateish/rime
|
eeb665dec5c4ef0ff45c40677e4238fa9b7f9aee
|
[
"MIT"
] | 31
|
2017-02-20T05:04:06.000Z
|
2022-01-21T09:05:17.000Z
|
rime/plugins/summary/__init__.py
|
ktateish/rime
|
eeb665dec5c4ef0ff45c40677e4238fa9b7f9aee
|
[
"MIT"
] | 62
|
2017-02-14T10:10:06.000Z
|
2021-05-17T00:00:01.000Z
|
rime/plugins/summary/__init__.py
|
ktateish/rime
|
eeb665dec5c4ef0ff45c40677e4238fa9b7f9aee
|
[
"MIT"
] | 21
|
2017-02-13T16:41:42.000Z
|
2021-08-19T00:34:49.000Z
|
#!/usr/bin/python
"""Submodules for generating project summary.
"""
| 13.8
| 45
| 0.710145
| 8
| 69
| 6.125
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 69
| 4
| 46
| 17.25
| 0.803279
| 0.855072
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b134b09b807ed4ca1a22c0cee5a24e35f33d470c
| 40
|
py
|
Python
|
notebooks/_solutions/13-raster-processing31.py
|
jorisvandenbossche/DS-python-geospatial
|
893a12edc5c203a75815f6dcb5f1e18c577c8cd5
|
[
"BSD-3-Clause"
] | 58
|
2020-10-09T10:10:59.000Z
|
2022-03-07T14:58:07.000Z
|
notebooks/_solutions/13-raster-processing31.py
|
jorisvandenbossche/DS-python-geospatial
|
893a12edc5c203a75815f6dcb5f1e18c577c8cd5
|
[
"BSD-3-Clause"
] | 24
|
2020-09-30T19:57:14.000Z
|
2021-10-05T07:21:09.000Z
|
notebooks/_solutions/13-raster-processing31.py
|
jorisvandenbossche/DS-python-geospatial
|
893a12edc5c203a75815f6dcb5f1e18c577c8cd5
|
[
"BSD-3-Clause"
] | 19
|
2020-10-05T09:32:18.000Z
|
2022-03-20T00:09:14.000Z
|
roads["frc_omschrijving"].value_counts()
| 40
| 40
| 0.825
| 5
| 40
| 6.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 40
| 1
| 40
| 40
| 0.775
| 0
| 0
| 0
| 0
| 0
| 0.390244
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b16c18eee0d7a01f62311be818363208471288bb
| 117
|
py
|
Python
|
worldbank.py
|
ensst6/UdacityDSND_Project2
|
095e56db99c6728d78c1863d2c6a6900ac8623e2
|
[
"MIT"
] | null | null | null |
worldbank.py
|
ensst6/UdacityDSND_Project2
|
095e56db99c6728d78c1863d2c6a6900ac8623e2
|
[
"MIT"
] | null | null | null |
worldbank.py
|
ensst6/UdacityDSND_Project2
|
095e56db99c6728d78c1863d2c6a6900ac8623e2
|
[
"MIT"
] | null | null | null |
from worldbankapp import app
# for local debugging before deploying
# app.run(host='0.0.0.0', port=3001, debug=True)
| 29.25
| 48
| 0.752137
| 20
| 117
| 4.4
| 0.8
| 0.068182
| 0.068182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07767
| 0.119658
| 117
| 3
| 49
| 39
| 0.776699
| 0.709402
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b16f761da5e68d2a406fb87d1a7d7c471677d93b
| 163
|
py
|
Python
|
10_File_Handling/07_Replace_words.py
|
AmanDhimanD/Python_CompleteCode
|
5af7afaa189fdab56ffc21ed53b998f4a07252ed
|
[
"Adobe-Glyph"
] | 2
|
2021-05-29T17:22:40.000Z
|
2021-06-07T09:32:53.000Z
|
10_File_Handling/07_Replace_words.py
|
AmanDhimanD/Python_CompleteCode
|
5af7afaa189fdab56ffc21ed53b998f4a07252ed
|
[
"Adobe-Glyph"
] | null | null | null |
10_File_Handling/07_Replace_words.py
|
AmanDhimanD/Python_CompleteCode
|
5af7afaa189fdab56ffc21ed53b998f4a07252ed
|
[
"Adobe-Glyph"
] | null | null | null |
with open ("Replace.txt") as f:
content =f.read()
content=content.replace("replace","Sample")
with open("Replace.txt", "w") as f:
f.write(content )
| 23.285714
| 44
| 0.625767
| 24
| 163
| 4.25
| 0.458333
| 0.156863
| 0.294118
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.184049
| 163
| 7
| 45
| 23.285714
| 0.766917
| 0
| 0
| 0
| 0
| 0
| 0.227848
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 0
| 0
| 0
| 0
|
0
| 4
|
b1710a8bfd3d3b5ef298b94a865da6cb88b1ee7a
| 7,551
|
py
|
Python
|
sigtrac/reports/migrations/0001_initial.py
|
nyaruka/sigtrac
|
edee5851047f6159d61c541e41848ff2b4bb58b1
|
[
"MIT"
] | null | null | null |
sigtrac/reports/migrations/0001_initial.py
|
nyaruka/sigtrac
|
edee5851047f6159d61c541e41848ff2b4bb58b1
|
[
"MIT"
] | null | null | null |
sigtrac/reports/migrations/0001_initial.py
|
nyaruka/sigtrac
|
edee5851047f6159d61c541e41848ff2b4bb58b1
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Report'
db.create_table(u'reports_report', (
(u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('device', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['devices.Device'])),
('carrier', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['carriers.Carrier'])),
('connection_type', self.gf('django.db.models.fields.CharField')(max_length=32)),
('download_speed', self.gf('django.db.models.fields.IntegerField')()),
('ping', self.gf('django.db.models.fields.IntegerField')(null=True)),
('packets_dropped', self.gf('django.db.models.fields.IntegerField')(null=True)),
('signal_strength_dbm', self.gf('django.db.models.fields.IntegerField')(null=True)),
('signal_strength_asu', self.gf('django.db.models.fields.IntegerField')(null=True)),
('latitude', self.gf('django.db.models.fields.DecimalField')(null=True, max_digits=20, decimal_places=16, blank=True)),
('longitude', self.gf('django.db.models.fields.DecimalField')(null=True, max_digits=20, decimal_places=16, blank=True)),
('created_on', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)),
))
db.send_create_signal(u'reports', ['Report'])
def backwards(self, orm):
# Deleting model 'Report'
db.delete_table(u'reports_report')
models = {
u'auth.group': {
'Meta': {'object_name': 'Group'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
u'auth.permission': {
'Meta': {'ordering': "(u'content_type__app_label', u'content_type__model', u'codename')", 'unique_together': "((u'content_type', u'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['contenttypes.ContentType']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
u'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
u'carriers.carrier': {
'Meta': {'object_name': 'Carrier'},
'created_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "u'carriers_carrier_creations'", 'to': u"orm['auth.User']"}),
'created_on': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'modified_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "u'carriers_carrier_modifications'", 'to': u"orm['auth.User']"}),
'modified_on': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '32'})
},
u'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
u'devices.device': {
'Meta': {'object_name': 'Device'},
'created_on': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'device_type': ('django.db.models.fields.CharField', [], {'max_length': '16'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'uuid': ('django.db.models.fields.CharField', [], {'max_length': '40'})
},
u'reports.report': {
'Meta': {'object_name': 'Report'},
'carrier': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['carriers.Carrier']"}),
'connection_type': ('django.db.models.fields.CharField', [], {'max_length': '32'}),
'created_on': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'device': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['devices.Device']"}),
'download_speed': ('django.db.models.fields.IntegerField', [], {}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'latitude': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '20', 'decimal_places': '16', 'blank': 'True'}),
'longitude': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '20', 'decimal_places': '16', 'blank': 'True'}),
'packets_dropped': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'ping': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'signal_strength_asu': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'signal_strength_dbm': ('django.db.models.fields.IntegerField', [], {'null': 'True'})
}
}
complete_apps = ['reports']
| 71.914286
| 187
| 0.582837
| 824
| 7,551
| 5.209951
| 0.151699
| 0.11181
| 0.192406
| 0.274866
| 0.743536
| 0.712089
| 0.707897
| 0.642208
| 0.57256
| 0.445842
| 0
| 0.008933
| 0.184611
| 7,551
| 105
| 188
| 71.914286
| 0.688322
| 0.008873
| 0
| 0.12766
| 0
| 0
| 0.560754
| 0.328031
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021277
| false
| 0.010638
| 0.042553
| 0
| 0.095745
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b1718eb2701fb17a7be578039e6796883a951bcc
| 381
|
py
|
Python
|
speakeasy/__init__.py
|
certego/speakeasy
|
7cc983603d09ee0bd62115b8b8c9a17c81abe9a4
|
[
"MIT"
] | null | null | null |
speakeasy/__init__.py
|
certego/speakeasy
|
7cc983603d09ee0bd62115b8b8c9a17c81abe9a4
|
[
"MIT"
] | null | null | null |
speakeasy/__init__.py
|
certego/speakeasy
|
7cc983603d09ee0bd62115b8b8c9a17c81abe9a4
|
[
"MIT"
] | null | null | null |
# flake8: noqa
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
# Import relevant classes for easy access
from speakeasy.windows.common import PeFile
from speakeasy.windows.win32 import Win32Emulator
from speakeasy.windows.kernel import WinKernelEmulator
from speakeasy.speakeasy import Speakeasy
import speakeasy.winenv.defs as defs
import speakeasy.winenv.arch as arch
| 29.307692
| 55
| 0.826772
| 51
| 381
| 6.176471
| 0.568627
| 0.165079
| 0.190476
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026866
| 0.120735
| 381
| 12
| 56
| 31.75
| 0.913433
| 0.278215
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b190740d5a5c1f121014cd18e0fad4c7f396e69a
| 4,173
|
py
|
Python
|
cloudcafe/meniscus/config.py
|
ProjectMeniscus/cloudcafe
|
fa8fd796b303f0c5f0d6e98b2b5d01f6ea8fefe9
|
[
"Apache-2.0"
] | null | null | null |
cloudcafe/meniscus/config.py
|
ProjectMeniscus/cloudcafe
|
fa8fd796b303f0c5f0d6e98b2b5d01f6ea8fefe9
|
[
"Apache-2.0"
] | null | null | null |
cloudcafe/meniscus/config.py
|
ProjectMeniscus/cloudcafe
|
fa8fd796b303f0c5f0d6e98b2b5d01f6ea8fefe9
|
[
"Apache-2.0"
] | 1
|
2020-11-17T19:05:08.000Z
|
2020-11-17T19:05:08.000Z
|
"""
Copyright 2013 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from json import loads as json_to_dict
from cloudcafe.common.models.configuration import ConfigSectionInterface
class MarshallingConfig(ConfigSectionInterface):
SECTION_NAME = 'marshalling'
@property
def serializer(self):
return self.get("serializer")
@property
def deserializer(self):
return self.get("deserializer")
class MeniscusConfig(ConfigSectionInterface):
SECTION_NAME = 'meniscus'
@property
def base_url(self):
return self.get("base_url")
@property
def api_version(self):
return self.get("api_version")
@property
def db_host(self):
return self.get("db_host")
@property
def db_name(self):
return self.get("db_name")
@property
def db_username(self):
return self.get("db_username")
@property
def db_password(self):
return self.get("db_password")
class StorageConfig(ConfigSectionInterface):
SECTION_NAME = 'meniscus-storage'
@property
def address(self):
return self.get('address')
@property
def index(self):
return self.get('index')
class TenantConfig(ConfigSectionInterface):
SECTION_NAME = 'meniscus-tenant'
@property
def hostname(self):
return self.get("hostname")
@property
def ip_address_v4(self):
return self.get("ip_address_v4")
@property
def ip_address_v6(self):
return self.get("ip_address_v6")
@property
def producer_name(self):
return self.get("producer_name")
@property
def producer_pattern(self):
return self.get("producer_pattern")
@property
def producer_durable(self):
return self.get_boolean("producer_durable")
@property
def producer_encrypted(self):
return self.get_boolean("producer_encrypted")
@property
def profile_name(self):
return self.get("profile_name")
class PairingConfig(ConfigSectionInterface):
SECTION_NAME = 'meniscus-pairing'
@property
def hostname(self):
return self.get('hostname')
@property
def coordinator_base_url(self):
return self.get('coordinator_base_url')
@property
def worker_base_url(self):
return self.get('worker_base_url')
@property
def callback(self):
return self.get('callback')
@property
def ip_v4(self):
return self.get('ip_address_v4')
@property
def ip_v6(self):
return self.get('ip_address_v6')
@property
def os_type(self):
return self.get('os_type')
@property
def memory_mb(self):
return int(self.get('memory_mb'))
@property
def arch(self):
return self.get('arch')
@property
def api_secret(self):
return self.get('api_secret')
@property
def personality(self):
return self.get('personality')
@property
def cpu_cores(self):
return int(self.get('cpu_cores'))
@property
def load_average(self):
return json_to_dict(self.get('load_average'))
@property
def disks(self):
return json_to_dict(self.get('disks'))
class CorrelationConfig(ConfigSectionInterface):
SECTION_NAME = 'meniscus-correlation'
@property
def correlator_base_url(self):
return self.get('correlator_base_url')
@property
def host(self):
return self.get('host')
@property
def pname(self):
return self.get('pname')
@property
def time(self):
return self.get('time')
@property
def native(self):
return json_to_dict(self.get('native'))
| 21.963158
| 72
| 0.665468
| 511
| 4,173
| 5.289628
| 0.260274
| 0.150573
| 0.165742
| 0.201258
| 0.288198
| 0.192009
| 0.132815
| 0.102849
| 0.102849
| 0.102849
| 0
| 0.005011
| 0.234843
| 4,173
| 189
| 73
| 22.079365
| 0.841528
| 0.13156
| 0
| 0.312
| 0
| 0
| 0.128872
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.296
| false
| 0.016
| 0.016
| 0.296
| 0.704
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
b19be8633c633383b1631025c98ba11aa5dbf9c1
| 168
|
py
|
Python
|
workspace/test.py
|
nbbeeken/numeric
|
0b4db18b23d8dd6d2f2212a3e974e7fdb90305df
|
[
"Apache-2.0"
] | 1
|
2021-11-01T03:38:16.000Z
|
2021-11-01T03:38:16.000Z
|
workspace/test.py
|
nbbeeken/numeric
|
0b4db18b23d8dd6d2f2212a3e974e7fdb90305df
|
[
"Apache-2.0"
] | null | null | null |
workspace/test.py
|
nbbeeken/numeric
|
0b4db18b23d8dd6d2f2212a3e974e7fdb90305df
|
[
"Apache-2.0"
] | null | null | null |
x = {
'a': 12,
'a': 0b1010,
'a': 0o123,
'a': 0xa123,
'a': 1234567,
'a': 0xffff_ffff,
'a': 1234567,
'a': 0b1_1_0_1_0_1,
'a': 0o777,
'a': 0xeeee,
'a': 1.1,
};
| 12
| 20
| 0.488095
| 30
| 168
| 2.533333
| 0.466667
| 0.210526
| 0.236842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.335878
| 0.220238
| 168
| 13
| 21
| 12.923077
| 0.244275
| 0
| 0
| 0.153846
| 0
| 0
| 0.065476
| 0
| 0
| 0
| 0.071429
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 4
|
4909bbd4ab6618544ad96ff4e93be56a1f130081
| 103
|
py
|
Python
|
notebooks/workflows/ocean_heat_content/solutions/solution_2_3.py
|
bonnland/ncar-python-tutorial
|
54d536d40cfaf6f8990c58edb438286c19d32a67
|
[
"CC-BY-4.0"
] | 38
|
2019-09-10T05:00:52.000Z
|
2021-12-06T17:39:14.000Z
|
notebooks/workflows/ocean_heat_content/solutions/solution_2_3.py
|
bonnland/ncar-python-tutorial
|
54d536d40cfaf6f8990c58edb438286c19d32a67
|
[
"CC-BY-4.0"
] | 60
|
2019-08-28T22:34:17.000Z
|
2021-01-25T22:53:21.000Z
|
notebooks/workflows/ocean_heat_content/solutions/solution_2_3.py
|
bonnland/ncar-python-tutorial
|
54d536d40cfaf6f8990c58edb438286c19d32a67
|
[
"CC-BY-4.0"
] | 22
|
2019-08-29T18:11:57.000Z
|
2021-01-07T02:23:46.000Z
|
thetao_30lon_30lat = ds['thetao'].sel(lon=30, lat=30, method='nearest', tolerance=1)
thetao_30lon_30lat
| 51.5
| 84
| 0.776699
| 17
| 103
| 4.470588
| 0.705882
| 0.289474
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134021
| 0.058252
| 103
| 2
| 85
| 51.5
| 0.649485
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0
| 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
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
492afae094700ede562523c1d58968280caed6db
| 113
|
py
|
Python
|
tests/files/import_alias/foo_test.py
|
ishikawa/modipyd
|
30bd7df9e9babb29b848dac6a46b1c909ab1e180
|
[
"MIT"
] | 1
|
2016-05-08T13:21:04.000Z
|
2016-05-08T13:21:04.000Z
|
tests/files/import_alias/foo_test.py
|
ishikawa/modipyd
|
30bd7df9e9babb29b848dac6a46b1c909ab1e180
|
[
"MIT"
] | null | null | null |
tests/files/import_alias/foo_test.py
|
ishikawa/modipyd
|
30bd7df9e9babb29b848dac6a46b1c909ab1e180
|
[
"MIT"
] | null | null | null |
import foo
import unittest
class FooTest(unittest.TestCase):
def testTrue(self):
self.assert_(True)
| 16.142857
| 33
| 0.716814
| 14
| 113
| 5.714286
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.19469
| 113
| 6
| 34
| 18.833333
| 0.879121
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
492cdbc5ffa6073a7f2d72982fdcb231e4864c5f
| 5,892
|
py
|
Python
|
Lenet5.py
|
Silver-Whiskey/CBS
|
3d57143e0a4b8f7edb35ec28e7f42acf8721a4f7
|
[
"MIT"
] | null | null | null |
Lenet5.py
|
Silver-Whiskey/CBS
|
3d57143e0a4b8f7edb35ec28e7f42acf8721a4f7
|
[
"MIT"
] | null | null | null |
Lenet5.py
|
Silver-Whiskey/CBS
|
3d57143e0a4b8f7edb35ec28e7f42acf8721a4f7
|
[
"MIT"
] | null | null | null |
import torch
import torchvision.models as models
import torch.nn.functional as F
import torch.nn as nn
import numpy as np
from utils import *
class LeNet5(nn.Module):
def __init__(self, n_classes):
super(LeNet5, self).__init__()
self.std = args.std
self.factor = args.std_factor
self.epoch = args.epochs
self.kernel_size = args.kernel_size
self.conv1 = nn.Sequential(
nn.Conv2d(in_channels=1, out_channels=6, kernel_size=5, stride=1)
)
self.post1 = nn.Sequential(
nn.Tanh(),
nn.AvgPool2d(kernel_size=2)
)
self.conv2 = nn.Sequential(
nn.Conv2d(in_channels=6, out_channels=16, kernel_size=5, stride=1)
)
self.post2(
nn.Tanh(),
nn.AvgPool2d(kernel_size=2)
)
self.conv3(
nn.Conv2d(in_channels=16, out_channels=120, kernel_size=5, stride=1)
)
self.post3 = nn.Sequential(
nn.Tanh()
)
self.classifier = nn.Sequential(
nn.Linear(in_features=120, out_features=84),
nn.Tanh(),
nn.Linear(in_features=84, out_features=n_classes),
)
self._initialize_weights()
def _initialize_weights(self):
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.kaiming_normal_(m.weight, mode='fan_in', nonlinearity='relu')
if m.bias is not None:
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
elif isinstance(m, nn.Linear):
nn.init.normal_(m.weight, 0, 0.01)
nn.init.constant_(m.bias, 0)
def get_new_kernels(self, epoch_count):
if epoch_count % self.epoch == 0 and epoch_count is not 0:
self.std *= 0.9
self.kernel1 = get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=6
)
self.kernel2= get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=16
)
self.kernel3 = get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=120
)
class LeNet5_Std(LeNet5):
def forward(self, x,return_intermediate=False):
output = self.conv1(x)
output = self.post1(output)
output = self.conv2(output)
output = self.post2(output)
output = self.conv3(output)
if return_intermediate:
output = output.view(output.size(0), -1)
return output
output = self.post5(output)
output = output.view(output.size(0), -1)
output = self.classifier(output)
return output
class LeNet5_Curr(LeNet5):
def get_new_kernels(self, epoch_count):
if epoch_count % self.epoch == 0 and epoch_count is not 0:
self.std *= 0.9
self.kernel1 = get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=6
)
self.kernel2= get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=16
)
self.kernel3 = get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=120
)
def forward(self, x,return_intermediate=False):
output = self.conv1(x)
output = self.kernel1(output)
output = self.post1(output)
output = self.conv2(output)
output = self.kernel2(output)
output = self.post2(output)
output = self.conv3(output)
output = self.kernel3(output)
if return_intermediate:
output = output.view(output.size(0), -1)
return output
output = self.post5(output)
output = output.view(output.size(0), -1)
output = self.classifier(output)
return output
class LeNet5_ACL(LeNet5):
def get_new_kernels(self, epoch_count):
if epoch_count % self.epoch == 0 and epoch_count is not 0:
self.std /= 0.9
self.kernel1 = get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=6
)
self.kernel2= get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=16
)
self.kernel3 = get_gaussian_filter(
kernel_size=self.kernel_size,
sigma=self.std,
channels=120
)
def forward(self, x,return_intermediate=False):
output = self.conv1(x)
output = self.kernel1(output)
output = self.post1(output)
output = self.conv2(output)
output = self.kernel2(output)
output = self.post2(output)
output = self.conv3(output)
output = self.kernel3(output)
if return_intermediate:
output = output.view(output.size(0), -1)
return output
output = self.post5(output)
output = output.view(output.size(0), -1)
output = self.classifier(output)
return output
| 27.924171
| 86
| 0.516293
| 639
| 5,892
| 4.604069
| 0.1518
| 0.091774
| 0.097893
| 0.07036
| 0.753569
| 0.753569
| 0.703943
| 0.703943
| 0.682189
| 0.673351
| 0
| 0.036104
| 0.393585
| 5,892
| 211
| 87
| 27.924171
| 0.787294
| 0
| 0
| 0.633987
| 0
| 0
| 0.00176
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.052288
| false
| 0
| 0.039216
| 0
| 0.156863
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4943ae39d7bbdd8df4bb352197de76568ba7de65
| 618
|
py
|
Python
|
3-heroku-flask-basico/app/routes.py
|
JhonnyBn/MiniCurso-Flask-Heroku
|
fa858830716b5606553139f8355b46dc91369323
|
[
"Unlicense"
] | null | null | null |
3-heroku-flask-basico/app/routes.py
|
JhonnyBn/MiniCurso-Flask-Heroku
|
fa858830716b5606553139f8355b46dc91369323
|
[
"Unlicense"
] | null | null | null |
3-heroku-flask-basico/app/routes.py
|
JhonnyBn/MiniCurso-Flask-Heroku
|
fa858830716b5606553139f8355b46dc91369323
|
[
"Unlicense"
] | 3
|
2021-12-13T18:04:15.000Z
|
2021-12-23T19:02:07.000Z
|
import os, json
from app import app, bcrypt
from flask import render_template, request, redirect, url_for
@app.route('/', methods = ["GET","POST"])
def index():
return "Hello World!"
@app.route('/home', methods=['GET'])
def home():
return render_template('home.html')
@app.route('/login', methods=['GET'])
def login():
return render_template('login.html')
@app.route('/senha', methods=['POST'])
def senha():
senha = request.json.get('senha', None)
if senha is None:
return { "senha": "" }, 200
password_hash = bcrypt.generate_password_hash(senha).decode('utf-8')
return { "senha": password_hash }, 200
| 24.72
| 69
| 0.68123
| 86
| 618
| 4.802326
| 0.418605
| 0.077482
| 0.062954
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012987
| 0.127832
| 618
| 25
| 70
| 24.72
| 0.753247
| 0
| 0
| 0
| 0
| 0
| 0.138934
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.210526
| false
| 0.105263
| 0.157895
| 0.157895
| 0.631579
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
494d58c79218f1963bae945d57ff7f8956389987
| 72
|
py
|
Python
|
autoscale/server_control/__init__.py
|
usaar33/ec2_autoscale
|
e1646869057c1d01d031b2a19bb62db5c31817aa
|
[
"MIT"
] | null | null | null |
autoscale/server_control/__init__.py
|
usaar33/ec2_autoscale
|
e1646869057c1d01d031b2a19bb62db5c31817aa
|
[
"MIT"
] | null | null | null |
autoscale/server_control/__init__.py
|
usaar33/ec2_autoscale
|
e1646869057c1d01d031b2a19bb62db5c31817aa
|
[
"MIT"
] | null | null | null |
"""
Package provides various primitives to control launching servers
"""
| 24
| 64
| 0.791667
| 8
| 72
| 7.125
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 72
| 3
| 65
| 24
| 0.904762
| 0.888889
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
499c09a5e093dabc8c65502d5ffac2ebbe9bda64
| 226
|
py
|
Python
|
config.py
|
lockie/flask_ldap
|
a160b479c83fc256c68ac85b295a0771252afcf8
|
[
"MIT"
] | null | null | null |
config.py
|
lockie/flask_ldap
|
a160b479c83fc256c68ac85b295a0771252afcf8
|
[
"MIT"
] | null | null | null |
config.py
|
lockie/flask_ldap
|
a160b479c83fc256c68ac85b295a0771252afcf8
|
[
"MIT"
] | null | null | null |
DEBUG = True
SECRET_KEY = '\xd3q\xf9\xb7r\xad\x03Ip$\xfe\x8fd\x17\x1f\xbd\xe8\xd4\xa8\xe7\x99V\xf7\x22'
LDAP_SERVER = 'localhost'
LDAP_ADMIN = 'cn=admin,dc=example,dc=com'
LDAP_PASSWD = 'yay'
LDAP_BASEDN = 'dc=example,dc=com'
| 32.285714
| 90
| 0.734513
| 41
| 226
| 3.926829
| 0.780488
| 0.111801
| 0.136646
| 0.173913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086538
| 0.079646
| 226
| 6
| 91
| 37.666667
| 0.6875
| 0
| 0
| 0
| 0
| 0.166667
| 0.575221
| 0.446903
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
b8c7fc404fabdf13b9031d761f74fae74ed94bc8
| 111
|
py
|
Python
|
tests/test_python_comments_1.py
|
adamserafini/pyxl4
|
1ec49261d78c03e60020a9d218ce56bd651ba980
|
[
"Apache-2.0"
] | 366
|
2015-01-02T06:20:07.000Z
|
2022-01-10T01:57:10.000Z
|
tests/test_python_comments_1.py
|
adamserafini/pyxl4
|
1ec49261d78c03e60020a9d218ce56bd651ba980
|
[
"Apache-2.0"
] | 19
|
2016-10-31T11:32:51.000Z
|
2021-05-24T08:32:10.000Z
|
tests/test_python_comments_1.py
|
adamserafini/pyxl4
|
1ec49261d78c03e60020a9d218ce56bd651ba980
|
[
"Apache-2.0"
] | 27
|
2015-01-10T00:32:05.000Z
|
2021-06-05T05:38:23.000Z
|
# coding: pyxl
from pyxl import html
def test():
assert str(<frag>Im cool # lol
</frag>) == """Im cool """
| 18.5
| 34
| 0.603604
| 17
| 111
| 3.941176
| 0.764706
| 0.179104
| 0.298507
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.207207
| 111
| 5
| 35
| 22.2
| 0.761364
| 0.144144
| 0
| 0
| 0
| 0
| 0.086957
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0
| null | null | 0
| 0.25
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b8db8b4b60e95fdec9783ffc5c05e685ecc19a6f
| 241
|
py
|
Python
|
models/Answer.py
|
GardenersGalore/server
|
f7d7f8ae07b56fc3c4fbe46f0784329cd94ace2d
|
[
"MIT"
] | null | null | null |
models/Answer.py
|
GardenersGalore/server
|
f7d7f8ae07b56fc3c4fbe46f0784329cd94ace2d
|
[
"MIT"
] | 1
|
2021-06-02T00:35:43.000Z
|
2021-06-02T00:35:43.000Z
|
models/Answer.py
|
GardenersGalore/server
|
f7d7f8ae07b56fc3c4fbe46f0784329cd94ace2d
|
[
"MIT"
] | null | null | null |
"""
This model is for forum answer
"""
from mongoengine import Document, StringField
class Answer(Document):
answer = StringField(required=True)
author = StringField(required=True)
question_title = StringField(required=True)
| 18.538462
| 47
| 0.742739
| 27
| 241
| 6.592593
| 0.62963
| 0.320225
| 0.38764
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165975
| 241
| 12
| 48
| 20.083333
| 0.885572
| 0.124481
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 1
| 0
| 1
| 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
| 0
| 0
| 1
| 0
|
0
| 4
|
7708b56179c0425f084c94066c20b2b9da5793f3
| 1,041
|
py
|
Python
|
CTFd/forms/auth.py
|
h4ckd0tm3/CTFd
|
9c992abce394f60a47567fa48c12a087c4690bd2
|
[
"Apache-2.0"
] | 1
|
2021-02-28T17:16:12.000Z
|
2021-02-28T17:16:12.000Z
|
CTFd/forms/auth.py
|
h4ckd0tm3/CTFd
|
9c992abce394f60a47567fa48c12a087c4690bd2
|
[
"Apache-2.0"
] | 3
|
2021-03-31T20:01:34.000Z
|
2021-12-13T20:43:29.000Z
|
CTFd/forms/auth.py
|
h4ckd0tm3/CTFd
|
9c992abce394f60a47567fa48c12a087c4690bd2
|
[
"Apache-2.0"
] | 2
|
2021-03-02T12:53:16.000Z
|
2021-03-03T11:42:26.000Z
|
from wtforms import PasswordField, StringField
from wtforms.fields.html5 import EmailField
from wtforms.validators import InputRequired
from CTFd.forms import BaseForm
from CTFd.forms.fields import SubmitField
class RegistrationForm(BaseForm):
name = StringField("User Name", validators=[InputRequired()])
email = EmailField("Email", validators=[InputRequired()])
password = PasswordField("Password", validators=[InputRequired()])
submit = SubmitField("Submit")
class LoginForm(BaseForm):
name = StringField("User Name or Email", validators=[InputRequired()])
password = PasswordField("Password", validators=[InputRequired()])
submit = SubmitField("Submit")
class ConfirmForm(BaseForm):
submit = SubmitField("Resend")
class ResetPasswordRequestForm(BaseForm):
email = EmailField("Email", validators=[InputRequired()])
submit = SubmitField("Submit")
class ResetPasswordForm(BaseForm):
password = PasswordField("Password", validators=[InputRequired()])
submit = SubmitField("Submit")
| 30.617647
| 74
| 0.74928
| 96
| 1,041
| 8.125
| 0.28125
| 0.20641
| 0.148718
| 0.205128
| 0.562821
| 0.438462
| 0.373077
| 0.373077
| 0.276923
| 0.276923
| 0
| 0.001106
| 0.131604
| 1,041
| 33
| 75
| 31.545455
| 0.861726
| 0
| 0
| 0.409091
| 0
| 0
| 0.087416
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.272727
| 0.227273
| 0
| 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
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
7716b57978478f383c549f78ef8a9835010070c9
| 1,621
|
py
|
Python
|
cFSPlib/python_api_client/test/test_images_api.py
|
cloudFPGA/cFSP
|
f6d93ff8eddb774711064e59e4dc4f931d803d5f
|
[
"Apache-2.0"
] | 2
|
2022-01-31T10:19:13.000Z
|
2022-02-15T06:07:04.000Z
|
cFSPlib/python_api_client/test/test_images_api.py
|
cloudFPGA/cFSP
|
f6d93ff8eddb774711064e59e4dc4f931d803d5f
|
[
"Apache-2.0"
] | 1
|
2022-01-24T16:16:52.000Z
|
2022-01-25T19:21:52.000Z
|
cFSPlib/python_api_client/test/test_images_api.py
|
cloudFPGA/cFSP
|
f6d93ff8eddb774711064e59e4dc4f931d803d5f
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
cloudFPGA Resource Manager API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.8
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.api.images_api import ImagesApi # noqa: E501
from swagger_client.rest import ApiException
class TestImagesApi(unittest.TestCase):
"""ImagesApi unit test stubs"""
def setUp(self):
self.api = ImagesApi() # noqa: E501
def tearDown(self):
pass
def test_cf_manager_rest_api_delete_image(self):
"""Test case for cf_manager_rest_api_delete_image
Delete an image # noqa: E501
"""
pass
def test_cf_manager_rest_api_get_image_single(self):
"""Test case for cf_manager_rest_api_get_image_single
Get an image # noqa: E501
"""
pass
def test_cf_manager_rest_api_get_images(self):
"""Test case for cf_manager_rest_api_get_images
Get all images of a user # noqa: E501
"""
pass
def test_cf_manager_rest_api_post_app_logic(self):
"""Test case for cf_manager_rest_api_post_app_logic
Upload an image of type `app logic` # noqa: E501
"""
pass
def test_cf_manager_rest_api_post_images(self):
"""Test case for cf_manager_rest_api_post_images
Upload an image # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 23.492754
| 119
| 0.671191
| 220
| 1,621
| 4.6
| 0.295455
| 0.088933
| 0.128459
| 0.158103
| 0.536561
| 0.517787
| 0.48419
| 0.344862
| 0.314229
| 0.166008
| 0
| 0.022259
| 0.251696
| 1,621
| 68
| 120
| 23.838235
| 0.812036
| 0.445404
| 0
| 0.272727
| 1
| 0
| 0.01061
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.318182
| false
| 0.272727
| 0.227273
| 0
| 0.590909
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
62371ba8ca21d59ba1cb015a1624360d869a622e
| 12,304
|
py
|
Python
|
proto/tp_artifact_1.0/sawtooth_artifact/artifact-api.py
|
pkthein/sparts_all_fam
|
ff162e4ea8c3919a197dc0cc13fde6b32da113c7
|
[
"Apache-2.0"
] | 1
|
2019-04-03T18:31:36.000Z
|
2019-04-03T18:31:36.000Z
|
proto/tp_artifact_1.0/sawtooth_artifact/artifact-api.py
|
pkthein/sparts_all_fam
|
ff162e4ea8c3919a197dc0cc13fde6b32da113c7
|
[
"Apache-2.0"
] | null | null | null |
proto/tp_artifact_1.0/sawtooth_artifact/artifact-api.py
|
pkthein/sparts_all_fam
|
ff162e4ea8c3919a197dc0cc13fde6b32da113c7
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2019 Wind River Systems
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ------------------------------------------------------------------------------
################################################################################
# LIBRARIES & DEPENDENCIES #
################################################################################
from flask import Flask, jsonify, make_response, request, json
import artifact_cli
import configparser
################################################################################
# FLASK APP #
################################################################################
app = Flask(__name__)
# PING
@app.route("/tp/artifact/ping", methods=["GET"])
def get_ping_result():
"""
Allows the client side API call to "ping" the port localhost:853 to ensure
that the port is up and running.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
"""
output = ret_msg("success", "OK", "EmptyRecord", "Artifact")
return output
# CREATE
@app.route("/tp/artifact", methods=["POST"])
def create_artifact():
"""
Allows the client side API call to "create" the artifact given a correct
JSON formatted payload.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
if not request.json:
return "Expecting JSON Object."
output = artifact_cli.api_do_create_artifact(request.json, config)
return output
except Exception as e:
return e
# AMEND
@app.route("/tp/artifact/amend", methods=["POST"])
def amend_artifact():
"""
Allows the client side API call to "amend" the artifact given a correct
JSON formatted payload.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
if not request.json:
return "Expecting JSON Object."
output = artifact_cli.api_do_amend_artifact(request.json, config)
return output
except Exception as e:
return e
# LIST
@app.route("/tp/artifact", methods=["GET"])
def list_artifact():
"""
Allows the client side API call to "list" the artifact.
Returns:
type: str
String representing JSON object which contains the result of
the "artifact list-artifact" if the call was a success; else, JSON
object which contains error message.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
output = artifact_cli.api_do_list_artifact(config)
return output
except Exception as e:
return e
# RETRIEVE MOST RECENT BY UUID
@app.route("/tp/artifact/<string:artifact_id>", methods=["GET"])
def retrieve_artifact(artifact_id):
"""
Allows the client side API call to "retrieve" the artifact.
Returns:
type: str
String representing JSON object which contains the result of
the "artifact retrieve {uuid}" if the call was a success; else,
JSON object which contains error message.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
output = artifact_cli.api_do_retrieve_artifact(artifact_id, config)
return output
except Exception as e:
return e
# RETRIEVE HISTORY OF UUID
@app.route("/tp/artifact/history/<string:artifact_id>", methods=["GET"])
def retrieve_artifact_history(artifact_id):
"""
Allows the client side API call to "retrieve" the artifact and display its
history up to its creation block.
Returns:
type: str
String representing JSON object which contains the result of
the "artifact retrieve --all {uuid}" if the call was a success; else,
JSON object which contains error message.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
output = artifact_cli.api_do_retrieve_artifact(
artifact_id, config, all_flag=True
)
return output
except Exception as e:
return e
# RETRIEVE UUID ON CERTAIN DATE
@app.route(
"/tp/artifact/<string:artifact_id>/date/<string:START>",
methods=["GET"]
)
def retrieve_artifact_history_date(artifact_id, START):
"""
Allows the client side API call to "retrieve" the artifact and display its
history for the specified date.
Returns:
type: str
String representing JSON object which contains the result of
the "artifact retrieve --range START END {uuid}" if the call was a
success; else, JSON object which contains error message.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
output = artifact_cli.api_do_retrieve_artifact(
artifact_id, config, range_flag=["0", START]
)
return output
except Exception as e:
return e
# ADD ARTIFACT
@app.route("/tp/artifact/addartifact", methods=["POST"])
def add_artifact_artifact():
"""
Allows the client side API call to "AddArtifact" to the artifact given a
correct JSON formatted payload.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
if not request.json:
return "Expecting JSON Object."
output = artifact_cli.api_do_add_sub_artifact(request.json, config)
return output
except Exception as e:
return e
# ADD ARTIFACT --DELETE
@app.route("/tp/artifact/addartifact/delete", methods=["POST"])
def add_artifact_artifact_delete():
"""
Allows the client side API call to "AddArtifact --delete" to the artifact
given a correct JSON formatted payload.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
if not request.json:
return "Expecting JSON Object."
output = artifact_cli.api_do_add_sub_artifact(
request.json, config, True
)
return output
except Exception as e:
return e
# ADD URI
@app.route("/tp/artifact/adduri", methods=["POST"])
def add_artifact_uri():
"""
Allows the client side API call to "AddURI" to the artifact given a correct
JSON formatted payload.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
if not request.json:
return "Expecting JSON Object."
output = artifact_cli.api_do_add_uri_to_artifact(request.json, config)
return output
except Exception as e:
return e
# ADD URI --DELETE
@app.route("/tp/artifact/adduri/delete", methods=["POST"])
def add_artifact_uri_delete():
"""
Allows the client side API call to "AddURI --delete" to the artifact
given a correct JSON formatted payload.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
Raises:
Exception:
* If the request does not contain JSON payload
"""
config = configparser.ConfigParser()
config.set("DEFAULT", "url", "http://127.0.0.1:8008")
try:
if not request.json:
return "Expecting JSON Object."
output = artifact_cli.api_do_add_uri_to_artifact(
request.json, config, True
)
return output
except Exception as e:
return e
################################################################################
# TEST #
################################################################################
# @app.route("/tp/test", methods=["POST"])
# def testing_():
# try:
# return json.dumps(request.json)
# except Exception as e:
# return e
# @app.route("/tp/test", methods=["GET"])
# def testing_get():
# try:
# return "phyo test get was called successfully"
# except Exception as e:
# return e
################################################################################
# PRINT #
################################################################################
def ret_msg(status, message, result_type, result):
"""
Helps create the message to be returned.
Returns:
type: str
String representing JSON object which allows the client to know that
the call was either a success or a failure.
"""
msgJSON = "{}"
key = json.loads(msgJSON)
key["status"] = status
key["message"] = message
key["result_type"] = result_type
key["result"] = result
msgJSON = json.dumps(key)
return msgJSON
################################################################################
# MAIN #
################################################################################
if __name__ == "__main__":
app.run(host="0.0.0.0", port="853")
################################################################################
# #
################################################################################
| 32.041667
| 82
| 0.540312
| 1,349
| 12,304
| 4.854707
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| 0
|
0
| 4
|
6243b4179bc234aad901e7ce1ef0ddb05d4bbd6e
| 95
|
py
|
Python
|
src/visualization/__init__.py
|
Dou-Yu-xuan/pykinship
|
f81f6667fa08a08fe726736d05476168b2a3e2f0
|
[
"MIT"
] | 12
|
2020-02-19T02:50:49.000Z
|
2022-03-31T19:39:35.000Z
|
src/visualization/__init__.py
|
Dou-Yu-xuan/pykinship
|
f81f6667fa08a08fe726736d05476168b2a3e2f0
|
[
"MIT"
] | 68
|
2020-03-23T00:07:28.000Z
|
2022-03-28T10:02:16.000Z
|
src/visualization/__init__.py
|
Dou-Yu-xuan/pykinship
|
f81f6667fa08a08fe726736d05476168b2a3e2f0
|
[
"MIT"
] | 3
|
2020-02-11T19:07:08.000Z
|
2020-11-04T18:48:00.000Z
|
from .plotting import plot_rocs, plot_cmc
from .visualize import create_html_page_face_montage
| 31.666667
| 52
| 0.873684
| 15
| 95
| 5.133333
| 0.8
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| 95
| 2
| 53
| 47.5
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|
0
| 4
|
625f754ac512753118eb70425a85ce5e942a432b
| 156
|
py
|
Python
|
icpy3/ic_structures.py
|
amryfitra/icpy3
|
e4332c28ad7d8c1ccd0f117e1cd8439362f5d03b
|
[
"MIT"
] | null | null | null |
icpy3/ic_structures.py
|
amryfitra/icpy3
|
e4332c28ad7d8c1ccd0f117e1cd8439362f5d03b
|
[
"MIT"
] | null | null | null |
icpy3/ic_structures.py
|
amryfitra/icpy3
|
e4332c28ad7d8c1ccd0f117e1cd8439362f5d03b
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from ctypes import *
class GrabberHandle(Structure):
pass
GrabberHandle._fields_ = [('unused', c_int)]
| 15.6
| 44
| 0.666667
| 19
| 156
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| 156
| 9
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| 0
|
0
| 4
|
6267d08206dc241f1129c6665b5eb2950592462f
| 3,005
|
py
|
Python
|
NewClass/AttrDict.py
|
Alberto-X3/Alberto-X3
|
268d1f1f8a59121d972c24335c5c26846bed2030
|
[
"MIT"
] | 1
|
2021-03-04T21:34:31.000Z
|
2021-03-04T21:34:31.000Z
|
NewClass/AttrDict.py
|
Alberto-X3/Alberto-X3
|
268d1f1f8a59121d972c24335c5c26846bed2030
|
[
"MIT"
] | null | null | null |
NewClass/AttrDict.py
|
Alberto-X3/Alberto-X3
|
268d1f1f8a59121d972c24335c5c26846bed2030
|
[
"MIT"
] | null | null | null |
from typing import *
_KT = TypeVar('KT') # Key type.
_VT = TypeVar('VT') # Value type.
_VT_co = TypeVar('VT_co', covariant=True) # Value type covariant containers.
class AttrDict(dict):
def __init__(self, data: dict) -> None:
for key in list(data.keys()):
if type(data[key]) == dict:
self.__dict__[key.replace(" ", "_")] = self.__class__(data[key])
else:
self.__dict__[key.replace(" ", "_")] = data[key]
def __repr__(self) -> str:
def recursive(data) -> str:
try:
__ = ""
for key in list(data.__dict__.keys()):
if isinstance(data[key], self.__class__):
__ += f"{key!r}: " "{" + recursive(data[key]) + "}, "
else:
__ += f"{key!r}: {data[key]!r}, "
return __[:-2]
except RecursionError:
return "The Data in this class might be to big and because of that a RecursionError occurred"
return "{" + recursive(self) + "}"
__str__ = __repr__
def __getitem__(self, item): return self.__dict__.__getitem__(item.replace(" ", "_"))
def __getattr__(self, item): return self.__getitem__(item)
def __setitem__(self, key, value): self.__dict__[key.replace(" ", "_")] = value
def __setattr__(self, key, value): return self.__setitem__(key, value)
def __contains__(self, item): return self.__dict__.__contains__(item)
def __delitem__(self, key): return self.__dict__.__delitem__(key)
def __eq__(self, other): return self.__dict__.__eq__(other)
def __ge__(self, other): return self.__dict__.__ge__(other)
def __gt__(self, other): return self.__dict__.__gt__(other)
def __iter__(self): return self.__dict__.__iter__()
def __len__(self): return self.__dict__.__len__()
def __le__(self, other): return self.__dict__.__le__(other)
def __lt__(self, other): return self.__dict__.__lt__(other)
def __ne__(self, other): return self.__dict__.__ne__(other)
def __reversed__(self): return self.__dict__.__reversed__()
def __sizeof__(self): return self.__dict__.__sizeof__()
def clear(self) -> None: return self.__dict__.clear()
def copy(self) -> Dict[_KT, _VT]: return self.__dict__.copy()
def get(self, k: _KT) -> Optional[_VT_co]: return self.__dict__.get(k)
def items(self) -> ItemsView[_KT, _VT]: return self.__dict__.items()
def keys(self) -> KeysView[_KT]: return self.__dict__.keys()
def pop(self, k: _KT) -> _VT: return self.__dict__.pop(k)
def popitem(self) -> Tuple[_KT, _VT]: return self.__dict__.popitem()
def setdefault(self, k: _KT, default: _VT = ...) -> _VT: return self.__dict__.setdefault(k, default)
def update(self, __m: Mapping[_KT, _VT], **kwargs: _VT) -> None: return self.__dict__.update(__m, **kwargs)
def values(self) -> ValuesView[_VT]: return self.__dict__.values()
| 51.810345
| 112
| 0.615641
| 368
| 3,005
| 4.222826
| 0.23913
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| 0.184041
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| false
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| 1
| 0
|
0
| 4
|
6556acc41d290c13d3733c57b2ed6d37d3726a73
| 139
|
py
|
Python
|
src/map_building/__init__.py
|
XiaoJake/range-mcl
|
b6ff92c7299ff3d01f1a8e41c11bc0191746084d
|
[
"MIT"
] | 141
|
2021-03-31T02:05:03.000Z
|
2022-03-24T18:14:18.000Z
|
src/map_building/__init__.py
|
JasonSun623/range-mcl
|
bd3cc2b9efa1172fcf547938501e3a7e0b687c50
|
[
"MIT"
] | 6
|
2021-06-18T03:19:19.000Z
|
2022-01-23T09:58:39.000Z
|
src/map_building/__init__.py
|
JasonSun623/range-mcl
|
bd3cc2b9efa1172fcf547938501e3a7e0b687c50
|
[
"MIT"
] | 48
|
2021-04-05T09:06:34.000Z
|
2022-03-24T03:08:38.000Z
|
#!/usr/bin/env python3
# This file is covered by the LICENSE file in the root of this project.
# Brief: Dummy file to make this a package.
| 34.75
| 71
| 0.741007
| 26
| 139
| 3.961538
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| 3
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|
0
| 4
|
6563d8b75b5e0f6277c6d3d2012884ca2442e43e
| 197
|
py
|
Python
|
Python/Get started with flask/7 bootstrap style.py
|
projetsdiy/Raspberry-Pi-Projects
|
0eb4b63d6b6eb340d603f1e5491ecd20a6775a1d
|
[
"MIT"
] | 2
|
2021-11-15T16:33:15.000Z
|
2022-03-09T15:52:43.000Z
|
Python/Get started with flask/7 bootstrap style.py
|
projetsdiy/Raspberry-Pi-Projects
|
0eb4b63d6b6eb340d603f1e5491ecd20a6775a1d
|
[
"MIT"
] | null | null | null |
Python/Get started with flask/7 bootstrap style.py
|
projetsdiy/Raspberry-Pi-Projects
|
0eb4b63d6b6eb340d603f1e5491ecd20a6775a1d
|
[
"MIT"
] | null | null | null |
from flask import Flask, render_template
app = Flask(__name__)
@app.route("/")
def home():
return render_template('test7/page.html', status=True, temperature=21.4)
app.run(debug = True)
| 21.888889
| 76
| 0.705584
| 28
| 197
| 4.75
| 0.75
| 0.210526
| 0
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| 0
| 0
| 0.02381
| 0.147208
| 197
| 9
| 77
| 21.888889
| 0.767857
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| 0
| 0.080808
| 0
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| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 0.5
| 0
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| null | 1
| 0
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| 0
| 1
| 0
| 0
|
0
| 4
|
656c9fe3ad52c9a1b573d0c48496d12b10318739
| 366
|
py
|
Python
|
spyder/plugins/editor/lsp/providers/__init__.py
|
neophnx/spyder
|
f76836ce1b924bcc4efd3f74f2960d26a4e528e0
|
[
"MIT"
] | 2
|
2019-04-25T08:25:37.000Z
|
2019-04-25T08:25:43.000Z
|
spyder/plugins/editor/lsp/providers/__init__.py
|
neophnx/spyder
|
f76836ce1b924bcc4efd3f74f2960d26a4e528e0
|
[
"MIT"
] | null | null | null |
spyder/plugins/editor/lsp/providers/__init__.py
|
neophnx/spyder
|
f76836ce1b924bcc4efd3f74f2960d26a4e528e0
|
[
"MIT"
] | 1
|
2019-02-18T01:28:51.000Z
|
2019-02-18T01:28:51.000Z
|
# -*- coding: utf-8 -*-
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""Spyder Language Server Protocol Client method providers."""
from .document import DocumentProvider
from .window import WindowProvider
class LSPMethodProviderMixIn(DocumentProvider, WindowProvider):
pass
| 24.4
| 63
| 0.773224
| 42
| 366
| 6.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0.003195
| 0.144809
| 366
| 14
| 64
| 26.142857
| 0.888179
| 0.546448
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 0
| 0.75
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
65a275b2e7f602e438b336bcd02a52e304e82b01
| 95
|
py
|
Python
|
articlequality/extractors/tests/test_extractor.py
|
kevinbazira/articlequality
|
04e8dc62b5e9f005bd272ffe48d8fa1d5e80b41a
|
[
"MIT"
] | null | null | null |
articlequality/extractors/tests/test_extractor.py
|
kevinbazira/articlequality
|
04e8dc62b5e9f005bd272ffe48d8fa1d5e80b41a
|
[
"MIT"
] | null | null | null |
articlequality/extractors/tests/test_extractor.py
|
kevinbazira/articlequality
|
04e8dc62b5e9f005bd272ffe48d8fa1d5e80b41a
|
[
"MIT"
] | null | null | null |
from ..extractor import Extractor, TemplateExtractor
__all__ = (Extractor, TemplateExtractor)
| 23.75
| 52
| 0.821053
| 8
| 95
| 9.25
| 0.625
| 0.702703
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 95
| 3
| 53
| 31.666667
| 0.870588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
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| null | 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
65b8e8cafa24b25ff93d5f1e04cdd2cef1d64c2c
| 5,733
|
py
|
Python
|
mercury_engine_data_structures/crc.py
|
duncathan/mercury-engine-data-structures
|
1bc4117dba9c7961d9a8f1b7f11b62daaf82b09b
|
[
"MIT"
] | null | null | null |
mercury_engine_data_structures/crc.py
|
duncathan/mercury-engine-data-structures
|
1bc4117dba9c7961d9a8f1b7f11b62daaf82b09b
|
[
"MIT"
] | null | null | null |
mercury_engine_data_structures/crc.py
|
duncathan/mercury-engine-data-structures
|
1bc4117dba9c7961d9a8f1b7f11b62daaf82b09b
|
[
"MIT"
] | 2
|
2021-11-07T13:42:13.000Z
|
2022-01-08T06:00:40.000Z
|
"""
Module for calculating CRC hashes with the algorithm and data used by Mercury Engine.
"""
import typing
_crc64_constants = [
0x0000000000000000, 0xB32E4CBE03A75F6F, 0xF4843657A840A05B, 0x47AA7AE9ABE7FF34, 0x7BD0C384FF8F5E33,
0xC8FE8F3AFC28015C, 0x8F54F5D357CFFE68, 0x3C7AB96D5468A107, 0xF7A18709FF1EBC66, 0x448FCBB7FCB9E309,
0x0325B15E575E1C3D, 0xB00BFDE054F94352, 0x8C71448D0091E255, 0x3F5F08330336BD3A, 0x78F572DAA8D1420E,
0xCBDB3E64AB761D61, 0x7D9BA13851336649, 0xCEB5ED8652943926, 0x891F976FF973C612, 0x3A31DBD1FAD4997D,
0x064B62BCAEBC387A, 0xB5652E02AD1B6715, 0xF2CF54EB06FC9821, 0x41E11855055BC74E, 0x8A3A2631AE2DDA2F,
0x39146A8FAD8A8540, 0x7EBE1066066D7A74, 0xCD905CD805CA251B, 0xF1EAE5B551A2841C, 0x42C4A90B5205DB73,
0x056ED3E2F9E22447, 0xB6409F5CFA457B28, 0xFB374270A266CC92, 0x48190ECEA1C193FD, 0x0FB374270A266CC9,
0xBC9D3899098133A6, 0x80E781F45DE992A1, 0x33C9CD4A5E4ECDCE, 0x7463B7A3F5A932FA, 0xC74DFB1DF60E6D95,
0x0C96C5795D7870F4, 0xBFB889C75EDF2F9B, 0xF812F32EF538D0AF, 0x4B3CBF90F69F8FC0, 0x774606FDA2F72EC7,
0xC4684A43A15071A8, 0x83C230AA0AB78E9C, 0x30EC7C140910D1F3, 0x86ACE348F355AADB, 0x3582AFF6F0F2F5B4,
0x7228D51F5B150A80, 0xC10699A158B255EF, 0xFD7C20CC0CDAF4E8, 0x4E526C720F7DAB87, 0x09F8169BA49A54B3,
0xBAD65A25A73D0BDC, 0x710D64410C4B16BD, 0xC22328FF0FEC49D2, 0x85895216A40BB6E6, 0x36A71EA8A7ACE989,
0x0ADDA7C5F3C4488E, 0xB9F3EB7BF06317E1, 0xFE5991925B84E8D5, 0x4D77DD2C5823B7BA, 0x64B62BCAEBC387A1,
0xD7986774E864D8CE, 0x90321D9D438327FA, 0x231C512340247895, 0x1F66E84E144CD992, 0xAC48A4F017EB86FD,
0xEBE2DE19BC0C79C9, 0x58CC92A7BFAB26A6, 0x9317ACC314DD3BC7, 0x2039E07D177A64A8, 0x67939A94BC9D9B9C,
0xD4BDD62ABF3AC4F3, 0xE8C76F47EB5265F4, 0x5BE923F9E8F53A9B, 0x1C4359104312C5AF, 0xAF6D15AE40B59AC0,
0x192D8AF2BAF0E1E8, 0xAA03C64CB957BE87, 0xEDA9BCA512B041B3, 0x5E87F01B11171EDC, 0x62FD4976457FBFDB,
0xD1D305C846D8E0B4, 0x96797F21ED3F1F80, 0x2557339FEE9840EF, 0xEE8C0DFB45EE5D8E, 0x5DA24145464902E1,
0x1A083BACEDAEFDD5, 0xA9267712EE09A2BA, 0x955CCE7FBA6103BD, 0x267282C1B9C65CD2, 0x61D8F8281221A3E6,
0xD2F6B4961186FC89, 0x9F8169BA49A54B33, 0x2CAF25044A02145C, 0x6B055FEDE1E5EB68, 0xD82B1353E242B407,
0xE451AA3EB62A1500, 0x577FE680B58D4A6F, 0x10D59C691E6AB55B, 0xA3FBD0D71DCDEA34, 0x6820EEB3B6BBF755,
0xDB0EA20DB51CA83A, 0x9CA4D8E41EFB570E, 0x2F8A945A1D5C0861, 0x13F02D374934A966, 0xA0DE61894A93F609,
0xE7741B60E174093D, 0x545A57DEE2D35652, 0xE21AC88218962D7A, 0x5134843C1B317215, 0x169EFED5B0D68D21,
0xA5B0B26BB371D24E, 0x99CA0B06E7197349, 0x2AE447B8E4BE2C26, 0x6D4E3D514F59D312, 0xDE6071EF4CFE8C7D,
0x15BB4F8BE788911C, 0xA6950335E42FCE73, 0xE13F79DC4FC83147, 0x521135624C6F6E28, 0x6E6B8C0F1807CF2F,
0xDD45C0B11BA09040, 0x9AEFBA58B0476F74, 0x29C1F6E6B3E0301B, 0xC96C5795D7870F42, 0x7A421B2BD420502D,
0x3DE861C27FC7AF19, 0x8EC62D7C7C60F076, 0xB2BC941128085171, 0x0192D8AF2BAF0E1E, 0x4638A2468048F12A,
0xF516EEF883EFAE45, 0x3ECDD09C2899B324, 0x8DE39C222B3EEC4B, 0xCA49E6CB80D9137F, 0x7967AA75837E4C10,
0x451D1318D716ED17, 0xF6335FA6D4B1B278, 0xB199254F7F564D4C, 0x02B769F17CF11223, 0xB4F7F6AD86B4690B,
0x07D9BA1385133664, 0x4073C0FA2EF4C950, 0xF35D8C442D53963F, 0xCF273529793B3738, 0x7C0979977A9C6857,
0x3BA3037ED17B9763, 0x888D4FC0D2DCC80C, 0x435671A479AAD56D, 0xF0783D1A7A0D8A02, 0xB7D247F3D1EA7536,
0x04FC0B4DD24D2A59, 0x3886B22086258B5E, 0x8BA8FE9E8582D431, 0xCC0284772E652B05, 0x7F2CC8C92DC2746A,
0x325B15E575E1C3D0, 0x8175595B76469CBF, 0xC6DF23B2DDA1638B, 0x75F16F0CDE063CE4, 0x498BD6618A6E9DE3,
0xFAA59ADF89C9C28C, 0xBD0FE036222E3DB8, 0x0E21AC88218962D7, 0xC5FA92EC8AFF7FB6, 0x76D4DE52895820D9,
0x317EA4BB22BFDFED, 0x8250E80521188082, 0xBE2A516875702185, 0x0D041DD676D77EEA, 0x4AAE673FDD3081DE,
0xF9802B81DE97DEB1, 0x4FC0B4DD24D2A599, 0xFCEEF8632775FAF6, 0xBB44828A8C9205C2, 0x086ACE348F355AAD,
0x34107759DB5DFBAA, 0x873E3BE7D8FAA4C5, 0xC094410E731D5BF1, 0x73BA0DB070BA049E, 0xB86133D4DBCC19FF,
0x0B4F7F6AD86B4690, 0x4CE50583738CB9A4, 0xFFCB493D702BE6CB, 0xC3B1F050244347CC, 0x709FBCEE27E418A3,
0x3735C6078C03E797, 0x841B8AB98FA4B8F8, 0xADDA7C5F3C4488E3, 0x1EF430E13FE3D78C, 0x595E4A08940428B8,
0xEA7006B697A377D7, 0xD60ABFDBC3CBD6D0, 0x6524F365C06C89BF, 0x228E898C6B8B768B, 0x91A0C532682C29E4,
0x5A7BFB56C35A3485, 0xE955B7E8C0FD6BEA, 0xAEFFCD016B1A94DE, 0x1DD181BF68BDCBB1, 0x21AB38D23CD56AB6,
0x9285746C3F7235D9, 0xD52F0E859495CAED, 0x6601423B97329582, 0xD041DD676D77EEAA, 0x636F91D96ED0B1C5,
0x24C5EB30C5374EF1, 0x97EBA78EC690119E, 0xAB911EE392F8B099, 0x18BF525D915FEFF6, 0x5F1528B43AB810C2,
0xEC3B640A391F4FAD, 0x27E05A6E926952CC, 0x94CE16D091CE0DA3, 0xD3646C393A29F297, 0x604A2087398EADF8,
0x5C3099EA6DE60CFF, 0xEF1ED5546E415390, 0xA8B4AFBDC5A6ACA4, 0x1B9AE303C601F3CB, 0x56ED3E2F9E224471,
0xE5C372919D851B1E, 0xA26908783662E42A, 0x114744C635C5BB45, 0x2D3DFDAB61AD1A42, 0x9E13B115620A452D,
0xD9B9CBFCC9EDBA19, 0x6A978742CA4AE576, 0xA14CB926613CF817, 0x1262F598629BA778, 0x55C88F71C97C584C,
0xE6E6C3CFCADB0723, 0xDA9C7AA29EB3A624, 0x69B2361C9D14F94B, 0x2E184CF536F3067F, 0x9D36004B35545910,
0x2B769F17CF112238, 0x9858D3A9CCB67D57, 0xDFF2A94067518263, 0x6CDCE5FE64F6DD0C, 0x50A65C93309E7C0B,
0xE388102D33392364, 0xA4226AC498DEDC50, 0x170C267A9B79833F, 0xDCD7181E300F9E5E, 0x6FF954A033A8C131,
0x28532E49984F3E05, 0x9B7D62F79BE8616A, 0xA707DB9ACF80C06D, 0x14299724CC279F02, 0x5383EDCD67C06036,
0xE0ADA17364673F59,
]
def crc64(data: typing.Union[bytes, str]) -> int:
if isinstance(data, str):
data = data.encode("utf-8")
checksum = 0xffffffffffffffff
for it in data:
checksum = _crc64_constants[(checksum & 0xff) ^ it] ^ (checksum >> 8)
return checksum
| 79.625
| 103
| 0.850515
| 307
| 5,733
| 15.869707
| 0.944625
| 0.005747
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.545876
| 0.096982
| 5,733
| 71
| 104
| 80.746479
| 0.39521
| 0.014826
| 0
| 0
| 0
| 0
| 0.000887
| 0
| 0
| 0
| 0.820922
| 0
| 0
| 1
| 0.016129
| false
| 0
| 0.016129
| 0
| 0.048387
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
65bcc58a8ec44e30b8da56d4aef576590ab334a2
| 136
|
py
|
Python
|
wsgi.py
|
andrenvk/eduxfeed
|
ca740ee7f996af4f6dafb5b5f1c857c9f7990b72
|
[
"MIT"
] | 2
|
2016-12-20T23:39:56.000Z
|
2017-02-15T14:15:51.000Z
|
wsgi.py
|
andrenvk/eduxfeed
|
ca740ee7f996af4f6dafb5b5f1c857c9f7990b72
|
[
"MIT"
] | null | null | null |
wsgi.py
|
andrenvk/eduxfeed
|
ca740ee7f996af4f6dafb5b5f1c857c9f7990b72
|
[
"MIT"
] | null | null | null |
import sys
path = '/home/andrenvk/eduxfeed'
if path not in sys.path:
sys.path.append(path)
from eduxfeed import app as application
| 19.428571
| 39
| 0.75
| 22
| 136
| 4.636364
| 0.636364
| 0.205882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161765
| 136
| 6
| 40
| 22.666667
| 0.894737
| 0
| 0
| 0
| 0
| 0
| 0.169118
| 0.169118
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
65bd93a1f636e256e95b30fccbe256d2fee5e470
| 789
|
py
|
Python
|
es_example/es_notification_listener/es_notification_listener_model.py
|
force-h2020/force-bdss-plugin-enginsoft-toy-model
|
f22c0ad3cc45c3b5a7f9c4fd0b20549d7dfc9aeb
|
[
"MIT"
] | null | null | null |
es_example/es_notification_listener/es_notification_listener_model.py
|
force-h2020/force-bdss-plugin-enginsoft-toy-model
|
f22c0ad3cc45c3b5a7f9c4fd0b20549d7dfc9aeb
|
[
"MIT"
] | null | null | null |
es_example/es_notification_listener/es_notification_listener_model.py
|
force-h2020/force-bdss-plugin-enginsoft-toy-model
|
f22c0ad3cc45c3b5a7f9c4fd0b20549d7dfc9aeb
|
[
"MIT"
] | null | null | null |
from force_bdss.api import BaseNotificationListenerModel
class ESNotificationListenerModel(BaseNotificationListenerModel):
"""
This class contains the information needed by the notification listener.
For example, if your notification listener is something that contacts
a database, you would put here traits for the credentials and the URL
to connect. The example listener does not need any configuration, so it's
empty.
Note: we don't yet have a UI in place to allow configuration
of these parameters, nor to add notification listeners to your execution.
For now, the only way for the BDSS to use notification listeners
is to modify the workflow file by hand.
"""
#print("sono in ESNotificationListenerModel")
pass
| 41.526316
| 78
| 0.74398
| 105
| 789
| 5.580952
| 0.695238
| 0.068259
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.220532
| 789
| 18
| 79
| 43.833333
| 0.952846
| 0.73384
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 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
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
65c4c19ef1c832188b1148e162ce9d081b88e80b
| 19
|
py
|
Python
|
gui/__init__.py
|
cabarnes/storjmon
|
231e89063a9562e917edc8247796a3419aa7edff
|
[
"MIT"
] | 1
|
2018-03-28T14:39:26.000Z
|
2018-03-28T14:39:26.000Z
|
gui/__init__.py
|
cabarnes/storjmon
|
231e89063a9562e917edc8247796a3419aa7edff
|
[
"MIT"
] | 9
|
2018-02-21T20:01:05.000Z
|
2020-09-04T14:45:26.000Z
|
gui/__init__.py
|
cabarnes/storjmon
|
231e89063a9562e917edc8247796a3419aa7edff
|
[
"MIT"
] | null | null | null |
"""GUI package."""
| 9.5
| 18
| 0.526316
| 2
| 19
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 19
| 1
| 19
| 19
| 0.588235
| 0.631579
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
65deb41938797680ac8e0567158bc7b5247e0c86
| 1,786
|
py
|
Python
|
tadataka/utils.py
|
IshitaTakeshi/Tadataka
|
852c7afb904503005e51884408e1492ef0be836f
|
[
"Apache-2.0"
] | 54
|
2019-11-15T16:30:34.000Z
|
2022-01-13T15:18:54.000Z
|
tadataka/utils.py
|
IshitaTakeshi/Tadataka
|
852c7afb904503005e51884408e1492ef0be836f
|
[
"Apache-2.0"
] | 11
|
2019-02-28T08:28:24.000Z
|
2020-04-07T04:47:12.000Z
|
tadataka/utils.py
|
IshitaTakeshi/Tadataka
|
852c7afb904503005e51884408e1492ef0be836f
|
[
"Apache-2.0"
] | 1
|
2020-02-26T13:59:40.000Z
|
2020-02-26T13:59:40.000Z
|
import numpy as np
from tadataka.decorator import allow_1d
def random_binary(size):
return np.random.randint(0, 2, size, dtype=np.bool)
def indices_other_than(size, indices):
"""
size: size of the array you want to get elements from
example:
>>> indices_other_than(8, [1, 2, 3])
[0, 4, 5, 6, 7]
"""
return np.setxor1d(indices, np.arange(size))
def merge_dicts(*dicts):
merged = dict()
for d in dicts:
merged.update(d)
return merged
def round_int(X):
return np.round(X, 0).astype(np.int64)
def value_list(dict_, keys):
return [dict_[k] for k in keys]
def _is_in_image_range(keypoints, image_shape):
height, width = image_shape
xs, ys = keypoints[:, 0], keypoints[:, 1]
# using this form to accept float coordinates
# if width is 200, [0.0, 199.0] is accepted
mask_x = np.logical_and(0 <= xs, xs <= width-1)
mask_y = np.logical_and(0 <= ys, ys <= height-1)
return np.logical_and(mask_x, mask_y)
# TODO move this function to 'range.py' or some file of more explicit name
@allow_1d(which_argument=0)
def is_in_image_range(keypoints, image_shape):
"""
Accept coordinates in range x <- [0, width-1], y <- [0, height-1]
"""
# assert(isinstance(image_shape, tuple) or isinstance(image_shape, list))
return _is_in_image_range(keypoints, image_shape[0:2])
def radian_to_degree(radian):
return radian / np.pi * 180
def add_noise(descriptors, indices):
descriptors = np.copy(descriptors)
descriptors[indices] = random_binary((len(indices), descriptors.shape[1]))
return descriptors
def break_other_than(descriptors, indices):
indices_to_break = np.setxor1d(np.arange(len(descriptors)), indices)
return add_noise(descriptors, indices_to_break)
| 25.514286
| 78
| 0.684211
| 275
| 1,786
| 4.269091
| 0.381818
| 0.051107
| 0.022998
| 0.035775
| 0.089438
| 0.089438
| 0.089438
| 0.061329
| 0
| 0
| 0
| 0.030577
| 0.194289
| 1,786
| 69
| 79
| 25.884058
| 0.785268
| 0.231243
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0
| 1
| 0.30303
| false
| 0
| 0.060606
| 0.121212
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
02d2c80b5122fd0176e5e5a0eeddd38ef7697d8c
| 62
|
py
|
Python
|
examples/07/inference/inference.py
|
chenwuperth/smworkshop
|
13738a04d6cdcaf75a4c97b3ca3ed31349a9385f
|
[
"Apache-2.0"
] | null | null | null |
examples/07/inference/inference.py
|
chenwuperth/smworkshop
|
13738a04d6cdcaf75a4c97b3ca3ed31349a9385f
|
[
"Apache-2.0"
] | null | null | null |
examples/07/inference/inference.py
|
chenwuperth/smworkshop
|
13738a04d6cdcaf75a4c97b3ca3ed31349a9385f
|
[
"Apache-2.0"
] | 2
|
2020-06-22T02:55:34.000Z
|
2020-07-09T10:18:48.000Z
|
"""
inference script for both batch transform and endpoint
"""
| 20.666667
| 54
| 0.758065
| 8
| 62
| 5.875
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145161
| 62
| 3
| 55
| 20.666667
| 0.886792
| 0.870968
| 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
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| 0
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| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
02edce5df082691b82d4529a10dcba81d23b0de3
| 149
|
py
|
Python
|
monitor/views.py
|
mrbaboon/swampytodo
|
096c39a57db0d8640e03262550dd1ed07191ecde
|
[
"MIT"
] | null | null | null |
monitor/views.py
|
mrbaboon/swampytodo
|
096c39a57db0d8640e03262550dd1ed07191ecde
|
[
"MIT"
] | 2
|
2015-04-23T00:21:01.000Z
|
2015-04-23T00:29:23.000Z
|
monitor/views.py
|
mrbaboon/swampytodo
|
096c39a57db0d8640e03262550dd1ed07191ecde
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
from django.views.generic import TemplateView
monitor_view = TemplateView.as_view(template_name='monitor.html')
| 29.8
| 65
| 0.845638
| 20
| 149
| 6.15
| 0.7
| 0.162602
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080537
| 149
| 5
| 65
| 29.8
| 0.89781
| 0
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| 0.08
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| 0
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| 0
| false
| 0
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| 0
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| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
f31d66befc73da990d41173647661db9f68b7ad9
| 14,008
|
py
|
Python
|
install.py
|
edwinn67/xc-2.9-admin
|
27fb1cc6069a6b41c60ca99c094c46e19094f092
|
[
"Unlicense"
] | 1
|
2022-03-30T02:26:08.000Z
|
2022-03-30T02:26:08.000Z
|
install.py
|
edwinn67/xc-2.9-admin
|
27fb1cc6069a6b41c60ca99c094c46e19094f092
|
[
"Unlicense"
] | null | null | null |
install.py
|
edwinn67/xc-2.9-admin
|
27fb1cc6069a6b41c60ca99c094c46e19094f092
|
[
"Unlicense"
] | 1
|
2022-02-01T03:31:53.000Z
|
2022-02-01T03:31:53.000Z
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
import subprocess, os, random, string, sys, shutil, socket
from itertools import cycle, izip
rDownloadURL = "https://xtreamcodes.org/install/download.php?type=%s"
rPackages = ["libcurl3", "wget", "mcrypt", "nscd", "htop", "mysql-server", "cron", "sudo", "libxslt1-dev", "libgeoip-dev"]
rInstall = {"MAIN": "main", "LB": "sub", "ADMIN": "admin"}
rMySQLCnf = "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".decode("base64")
class col:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def generate(length=16): return ''.join(random.choice(string.ascii_letters + string.digits) for i in range(length))
def getIP():
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
return s.getsockname()[0]
def getVersion():
try: return subprocess.check_output("lsb_release -d".split()).split(":")[-1].strip()
except: return ""
def printc(rText, rColour=col.OKBLUE, rPadding=0):
print "%s ┌──────────────────────────────────────────┐ %s" % (rColour, col.ENDC)
for i in range(rPadding): print "%s │ │ %s" % (rColour, col.ENDC)
print "%s │ %s%s%s │ %s" % (rColour, " "*(20-(len(rText)/2)), rText, " "*(40-(20-(len(rText)/2))-len(rText)), col.ENDC)
for i in range(rPadding): print "%s │ │ %s" % (rColour, col.ENDC)
print "%s └──────────────────────────────────────────┘ %s" % (rColour, col.ENDC)
print " "
def prepare(rType="MAIN"):
global rPackages
if rType <> "MAIN": rPackages = rPackages[:-1]
printc("Preparing Installation")
for rFile in ["/var/lib/dpkg/lock-frontend", "/var/cache/apt/archives/lock", "/var/lib/dpkg/lock"]:
try: os.remove(rFile)
except: pass
os.system("apt-get update > /dev/null")
printc("Removing libcurl4 if installed")
os.system("apt-get remove --auto-remove libcurl4 -y > /dev/null")
for rPackage in rPackages:
printc("Installing %s" % rPackage)
os.system("apt-get install %s -y > /dev/null" % rPackage)
printc("Installing libpng")
os.system("wget -q -O /tmp/libpng12.deb http://mirrors.kernel.org/ubuntu/pool/main/libp/libpng/libpng12-0_1.2.54-1ubuntu1_amd64.deb")
os.system("dpkg -i /tmp/libpng12.deb > /dev/null")
os.system("apt-get install -y > /dev/null") # Clean up above
try: os.remove("/tmp/libpng12.deb")
except: pass
try:
subprocess.check_output("getent passwd xtreamcodes > /dev/null".split())
except:
# Create User
printc("Creating user xtreamcodes")
os.system("adduser --system --shell /bin/false --group --disabled-login xtreamcodes > /dev/null")
if not os.path.exists("/home/xtreamcodes"): os.mkdir("/home/xtreamcodes")
return True
def install(rType="MAIN"):
global rInstall, rDownloadURL
printc("Downloading Software")
try: rURL = rDownloadURL % rInstall[rType]
except:
printc("Invalid download URL!", col.FAIL)
return False
os.system('wget -q -O "/tmp/xtreamcodes.tar.gz" "%s"' % rURL)
if os.path.exists("/tmp/xtreamcodes.tar.gz"):
printc("Installing Software")
os.system('tar -zxvf "/tmp/xtreamcodes.tar.gz" -C "/home/xtreamcodes/" > /dev/null')
try: os.remove("/tmp/xtreamcodes.tar.gz")
except: pass
return True
printc("Failed to download installation file!", col.FAIL)
return False
def mysql(rUsername, rPassword):
global rMySQLCnf
printc("Configuring MySQL")
rCreate = True
if os.path.exists("/etc/mysql/my.cnf"):
if open("/etc/mysql/my.cnf", "r").read(14) == "# Xtream Codes": rCreate = False
if rCreate:
shutil.copy("/etc/mysql/my.cnf", "/etc/mysql/my.cnf.xc")
rFile = open("/etc/mysql/my.cnf", "w")
rFile.write(rMySQLCnf)
rFile.close()
os.system("service mysql restart > /dev/null")
printc("Enter MySQL Root Password:", col.WARNING)
for i in range(5):
rMySQLRoot = raw_input(" ")
print " "
if len(rMySQLRoot) > 0: rExtra = " -p%s" % rMySQLRoot
else: rExtra = ""
printc("Drop existing & create database? Y/N", col.WARNING)
if raw_input(" ").upper() == "Y": rDrop = True
else: rDrop = False
try:
if rDrop:
os.system('mysql -u root%s -e "DROP DATABASE IF EXISTS xtream_iptvpro; CREATE DATABASE IF NOT EXISTS xtream_iptvpro;" > /dev/null' % rExtra)
os.system("mysql -u root%s xtream_iptvpro < /home/xtreamcodes/iptv_xtream_codes/database.sql > /dev/null" % rExtra)
os.system('mysql -u root%s -e "USE xtream_iptvpro; UPDATE settings SET live_streaming_pass = \'%s\', unique_id = \'%s\', crypt_load_balancing = \'%s\';" > /dev/null' % (rExtra, generate(20), generate(10), generate(20)))
os.system('mysql -u root%s -e "USE xtream_iptvpro; REPLACE INTO streaming_servers (id, server_name, domain_name, server_ip, vpn_ip, ssh_password, ssh_port, diff_time_main, http_broadcast_port, total_clients, system_os, network_interface, latency, status, enable_geoip, geoip_countries, last_check_ago, can_delete, server_hardware, total_services, persistent_connections, rtmp_port, geoip_type, isp_names, isp_type, enable_isp, boost_fpm, http_ports_add, network_guaranteed_speed, https_broadcast_port, https_ports_add, whitelist_ips, watchdog_data, timeshift_only) VALUES (1, \'Main Server\', \'\', \'%s\', \'\', NULL, NULL, 0, 25461, 1000, \'%s\', \'eth0\', 0, 1, 0, \'\', 0, 0, \'{}\', 3, 0, 25462, \'low_priority\', \'\', \'low_priority\', 0, 1, \'\', 1000, 25463, \'\', \'[\"127.0.0.1\",\"\"]\', \'{}\', 0);" > /dev/null' % (rExtra, getIP(), getVersion()))
os.system('mysql -u root%s -e "USE xtream_iptvpro; REPLACE INTO reg_users (id, username, password, email, member_group_id, verified, status) VALUES (1, \'admin\', \'\$6\$rounds=20000\$xtreamcodes\$XThC5OwfuS0YwS4ahiifzF14vkGbGsFF1w7ETL4sRRC5sOrAWCjWvQJDromZUQoQuwbAXAFdX3h3Cp3vqulpS0\', \'admin@website.com\', 1, 1, 1);" > /dev/null' % rExtra)
os.system('mysql -u root%s -e "GRANT ALL PRIVILEGES ON *.* TO \'%s\'@\'%%\' IDENTIFIED BY \'%s\' WITH GRANT OPTION; FLUSH PRIVILEGES;" > /dev/null' % (rExtra, rUsername, rPassword))
try: os.remove("/home/xtreamcodes/iptv_xtream_codes/database.sql")
except: pass
return True
except: printc("Invalid password! Try again", col.FAIL)
return False
def encrypt(rHost="127.0.0.1", rUsername="user_iptvpro", rPassword="", rDatabase="xtream_iptvpro", rServerID=1, rPort=7999):
printc("Encrypting...")
try: os.remove("/home/xtreamcodes/iptv_xtream_codes/config")
except: pass
rf = open('/home/xtreamcodes/iptv_xtream_codes/config', 'wb')
rf.write(''.join(chr(ord(c)^ord(k)) for c,k in izip('{\"host\":\"%s\",\"db_user\":\"%s\",\"db_pass\":\"%s\",\"db_name\":\"%s\",\"server_id\":\"%d\", \"db_port\":\"%d\"}' % (rHost, rUsername, rPassword, rDatabase, rServerID, rPort), cycle('5709650b0d7806074842c6de575025b1'))).encode('base64').replace('\n', ''))
rf.close()
def configure():
printc("Configuring System")
if not "/home/xtreamcodes/iptv_xtream_codes/" in open("/etc/fstab").read():
rFile = open("/etc/fstab", "a")
rFile.write("tmpfs /home/xtreamcodes/iptv_xtream_codes/streams tmpfs defaults,noatime,nosuid,nodev,noexec,mode=1777,size=90% 0 0\ntmpfs /home/xtreamcodes/iptv_xtream_codes/tmp tmpfs defaults,noatime,nosuid,nodev,noexec,mode=1777,size=2G 0 0")
rFile.close()
if not "xtreamcodes" in open("/etc/sudoers").read():
os.system('echo "xtreamcodes ALL = (root) NOPASSWD: /sbin/iptables" >> /etc/sudoers')
if not os.path.exists("/etc/init.d/xtreamcodes"):
rFile = open("/etc/init.d/xtreamcodes", "w")
rFile.write("#! /bin/bash\n/home/xtreamcodes/iptv_xtream_codes/start_services.sh")
rFile.close()
os.system("chmod +x /etc/init.d/xtreamcodes > /dev/null")
try: os.remove("/usr/bin/ffmpeg")
except: pass
os.system("ln -s /home/xtreamcodes/iptv_xtream_codes/bin/ffmpeg /usr/bin/")
os.system("chown xtreamcodes:xtreamcodes -R /home/xtreamcodes > /dev/null")
os.system("chmod -R 0777 /home/xtreamcodes > /dev/null")
os.system("chmod +x /home/xtreamcodes/iptv_xtream_codes/start_services.sh > /dev/null")
if not "xtream-codes.com" in open("/etc/hosts").read():
os.system('echo "127.0.0.1 api.xtream-codes.com" >> /etc/hosts')
os.system('echo "127.0.0.1 xtream-codes.com" >> /etc/hosts')
def start(first=True):
if first: printc("Starting Xtream Codes")
else: printc("Restarting Xtream Codes")
os.system("/home/xtreamcodes/iptv_xtream_codes/start_services.sh > /dev/null")
def modifyNginx():
printc("Modifying Nginx")
rPath = "/home/xtreamcodes/iptv_xtream_codes/nginx/conf/nginx.conf"
rPrevData = open(rPath, "r").read()
if not "listen 25500;" in rPrevData:
shutil.copy(rPath, "%s.xc" % rPath)
rData = "}".join(rPrevData.split("}")[:-1]) + " server {\n listen 25500;\n index index.php index.html index.htm;\n root /home/xtreamcodes/iptv_xtream_codes/admin/;\n\n location ~ \.php$ {\n limit_req zone=one burst=8;\n try_files $uri =404;\n fastcgi_index index.php;\n fastcgi_pass php;\n include fastcgi_params;\n fastcgi_buffering on;\n fastcgi_buffers 96 32k;\n fastcgi_buffer_size 32k;\n fastcgi_max_temp_file_size 0;\n fastcgi_keep_conn on;\n fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name;\n fastcgi_param SCRIPT_NAME $fastcgi_script_name;\n }\n }\n}"
rFile = open(rPath, "w")
rFile.write(rData)
rFile.close()
if __name__ == "__main__":
printc("Xtream Codes Reborn BETA - Installer", col.OKGREEN, 2)
rType = raw_input(" Installation Type [MAIN, LB, ADMIN]: ")
print " "
if rType.upper() in ["MAIN", "LB"]:
if rType.upper() == "LB":
rHost = raw_input(" Main Server IP Address: ")
rPassword = raw_input(" MySQL Password: ")
try: rServerID = int(raw_input(" Load Balancer Server ID: "))
except: rServerID = -1
print " "
else:
rHost = "127.0.0.1"
rPassword = generate()
rServerID = 1
rUsername = "user_iptvpro"
rDatabase = "xtream_iptvpro"
rPort = 7999
if len(rHost) > 0 and len(rPassword) > 0 and rServerID > -1:
printc("Start installation? Y/N", col.WARNING)
if raw_input(" ").upper() == "Y":
print " "
rRet = prepare(rType.upper())
if not install(rType.upper()): sys.exit(1)
if rType.upper() == "MAIN":
if not mysql(rUsername, rPassword): sys.exit(1)
encrypt(rHost, rUsername, rPassword, rDatabase, rServerID, rPort)
configure()
start()
printc("Installation completed!", col.OKGREEN, 2)
if rType.upper() == "MAIN":
printc("Please store your MySQL password!")
printc(rPassword)
else: printc("Installation cancelled", col.FAIL)
else: printc("Invalid entries", col.FAIL)
elif rType.upper() == "ADMIN":
if os.path.exists("/home/xtreamcodes/iptv_xtream_codes/wwwdir/api.php"):
printc("Install Admin Panel?", col.WARNING)
if raw_input(" ").upper() == "Y":
if not install(rType.upper()): sys.exit(1)
modifyNginx()
printc("Installation completed!", col.OKGREEN, 2)
start(False)
printc("Admin UI: http://%s:25500" % getIP())
else: printc("Install Xtream Codes Main first!", col.FAIL)
else: printc("Invalid installation type", col.FAIL)
| 65.765258
| 1,816
| 0.653412
| 1,559
| 14,008
| 5.839641
| 0.273252
| 0.021968
| 0.029218
| 0.038445
| 0.196837
| 0.139389
| 0.106217
| 0.083809
| 0.063269
| 0.042838
| 0
| 0.047318
| 0.197387
| 14,008
| 212
| 1,817
| 66.075472
| 0.754069
| 0.00464
| 0
| 0.179487
| 0
| 0.05641
| 0.535733
| 0.232753
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0.128205
| 0.010256
| null | null | 0.210256
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
b864f78e28a8a9955628048823ac816b8e18710b
| 292
|
py
|
Python
|
tests/pages.py
|
pep8speaks/true_nth_usa_portal
|
31ff755b0cfe61ab908e2a399e3c41ef17ca8c16
|
[
"BSD-3-Clause"
] | 1
|
2019-03-11T12:25:20.000Z
|
2019-03-11T12:25:20.000Z
|
tests/pages.py
|
pep8speaks/true_nth_usa_portal
|
31ff755b0cfe61ab908e2a399e3c41ef17ca8c16
|
[
"BSD-3-Clause"
] | null | null | null |
tests/pages.py
|
pep8speaks/true_nth_usa_portal
|
31ff755b0cfe61ab908e2a399e3c41ef17ca8c16
|
[
"BSD-3-Clause"
] | null | null | null |
from page_objects import PageElement, PageObject
class LoginPage(PageObject):
username = PageElement(name='email')
password = PageElement(name='password')
login_button = PageElement(css='input[type="submit"]')
facebook_button = PageElement(css='a[href="/login/facebook/"]')
| 32.444444
| 67
| 0.732877
| 32
| 292
| 6.59375
| 0.65625
| 0.14218
| 0.189573
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126712
| 292
| 8
| 68
| 36.5
| 0.827451
| 0
| 0
| 0
| 0
| 0
| 0.202055
| 0.089041
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.166667
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
b8706d1e71be2bb8cee274bc1d652517de3db388
| 363
|
py
|
Python
|
src/common/models/stair.py
|
wenksi/pren-robo-cube-ipcv
|
e2cf655a7e33aa63dae6e2b2a91abaa11d587f8f
|
[
"MIT"
] | null | null | null |
src/common/models/stair.py
|
wenksi/pren-robo-cube-ipcv
|
e2cf655a7e33aa63dae6e2b2a91abaa11d587f8f
|
[
"MIT"
] | null | null | null |
src/common/models/stair.py
|
wenksi/pren-robo-cube-ipcv
|
e2cf655a7e33aa63dae6e2b2a91abaa11d587f8f
|
[
"MIT"
] | null | null | null |
import numpy as np
class Stair:
def __init__(self):
self.rows = []
def add_row(self, areas):
self.rows.append(areas)
def count(self):
return len(self.rows)
def get(self, i):
if len(self.rows) >= i + 1:
return self.rows[i]
return None
def get_rows(self):
return list(self.rows)
| 17.285714
| 35
| 0.548209
| 51
| 363
| 3.784314
| 0.45098
| 0.248705
| 0.11399
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004149
| 0.336088
| 363
| 20
| 36
| 18.15
| 0.796681
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.357143
| false
| 0
| 0.071429
| 0.142857
| 0.785714
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
b23f131aa9c058f338c84646a51b0638678b60ce
| 116
|
py
|
Python
|
tests/__init__.py
|
vdmit11/py-mongosql
|
8b66a3386344cf5b38021dccf32c7790a07617e5
|
[
"BSD-2-Clause"
] | 36
|
2015-02-25T20:30:34.000Z
|
2022-02-13T08:38:24.000Z
|
tests/__init__.py
|
vdmit11/py-mongosql
|
8b66a3386344cf5b38021dccf32c7790a07617e5
|
[
"BSD-2-Clause"
] | 8
|
2017-06-14T03:21:42.000Z
|
2022-02-09T11:56:00.000Z
|
tests/__init__.py
|
vdmit11/py-mongosql
|
8b66a3386344cf5b38021dccf32c7790a07617e5
|
[
"BSD-2-Clause"
] | 10
|
2015-10-21T09:22:37.000Z
|
2022-02-09T11:33:32.000Z
|
# import warnings
#
# from sqlalchemy.exc import SAWarning
# warnings.filterwarnings('error', category=SAWarning)
#
| 19.333333
| 54
| 0.775862
| 12
| 116
| 7.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112069
| 116
| 5
| 55
| 23.2
| 0.873786
| 0.905172
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b25040bb0681b440698f11c295ab0c1ae8c5025e
| 936
|
py
|
Python
|
NLP_Flask/app/nlp/preprocess/service/pre_process/common_pre_process_service.py
|
Gxy-2001/NLPPlat
|
f339c1a7452b979b413919cf4bc128bf45af52ef
|
[
"MIT"
] | null | null | null |
NLP_Flask/app/nlp/preprocess/service/pre_process/common_pre_process_service.py
|
Gxy-2001/NLPPlat
|
f339c1a7452b979b413919cf4bc128bf45af52ef
|
[
"MIT"
] | null | null | null |
NLP_Flask/app/nlp/preprocess/service/pre_process/common_pre_process_service.py
|
Gxy-2001/NLPPlat
|
f339c1a7452b979b413919cf4bc128bf45af52ef
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from app.nlp.preprocess.service.pre_process_service import PreProcessService
class CommonPreProcessService(PreProcessService):
def cut(self, data, type, master=''):
for data_item in data['vectors']:
data_item = self.cut_item(data_item=data_item, type=type)
return data
def postagging(self, data, type, master=''):
for data_item in data['vectors']:
data_item = self.postagging_item(data_item=data_item, type=type)
return data
def stopwords(self, data, params, type, master=''):
for data_item in data['vectors']:
data_item = self.stopwords_item(data_item=data_item, params=params, type=type)
return data
def keywords(self, data, params, type, master=''):
for data_item in data['vectors']:
data_item = self.keywords_item(data_item=data_item, params=params, type=type)
return data
| 34.666667
| 90
| 0.662393
| 122
| 936
| 4.901639
| 0.237705
| 0.214047
| 0.160535
| 0.113712
| 0.690635
| 0.685619
| 0.685619
| 0.685619
| 0.685619
| 0.685619
| 0
| 0.001377
| 0.224359
| 936
| 26
| 91
| 36
| 0.822314
| 0.022436
| 0
| 0.444444
| 0
| 0
| 0.030702
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.055556
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 4
|
a24f17f910b0598e62845dee8350490511a52a0a
| 436
|
py
|
Python
|
Customer.py
|
ruben-yacht/elevator
|
a92c09ede28e05ba6d2d701ac03c7fdc645d5cdd
|
[
"MIT"
] | null | null | null |
Customer.py
|
ruben-yacht/elevator
|
a92c09ede28e05ba6d2d701ac03c7fdc645d5cdd
|
[
"MIT"
] | null | null | null |
Customer.py
|
ruben-yacht/elevator
|
a92c09ede28e05ba6d2d701ac03c7fdc645d5cdd
|
[
"MIT"
] | null | null | null |
from Elevator import Elevator
class Customer:
''' explain class functionality'''
def __init__(self, start_floor, destination_floor):
self.start_floor = start_floor
self.destination_floor = destination_floor
self.in_elevator = False
self.arrived = False
def __str__(self):
return "Customer (who goes from floor " + str(self.start_floor) + " to " + str(self.destination_floor) + ")"
| 31.142857
| 116
| 0.676606
| 51
| 436
| 5.45098
| 0.411765
| 0.143885
| 0.151079
| 0.179856
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.229358
| 436
| 13
| 117
| 33.538462
| 0.827381
| 0.061927
| 0
| 0
| 0
| 0
| 0.087065
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.111111
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
a26125f271e36e16c0794bb8655c313dfc37642e
| 828
|
py
|
Python
|
website_downloader/conftest.py
|
renanbs/website-downloader
|
d7ffaf3b17b0467550dc0e6064b12bed7d134ba4
|
[
"MIT"
] | null | null | null |
website_downloader/conftest.py
|
renanbs/website-downloader
|
d7ffaf3b17b0467550dc0e6064b12bed7d134ba4
|
[
"MIT"
] | null | null | null |
website_downloader/conftest.py
|
renanbs/website-downloader
|
d7ffaf3b17b0467550dc0e6064b12bed7d134ba4
|
[
"MIT"
] | null | null | null |
from unittest.mock import MagicMock
import pytest
from website_downloader.services.dir import DirectoryService
from website_downloader.services.images import ImagesService
from website_downloader.services.scripts import ScriptsService
from website_downloader.services.styles import StylesService
@pytest.fixture
def source_url():
return 'http://my-url.com'
@pytest.fixture
def dir_service(tmpdir):
return DirectoryService(str(tmpdir))
@pytest.fixture
def image_service(dir_service, source_url):
return ImagesService(dir_service, MagicMock(), source_url)
@pytest.fixture
def styles_service(dir_service, source_url):
return StylesService(dir_service, MagicMock(), source_url)
@pytest.fixture
def scripts_service(dir_service, source_url):
return ScriptsService(dir_service, MagicMock(), source_url)
| 24.352941
| 63
| 0.81401
| 103
| 828
| 6.339806
| 0.281553
| 0.096478
| 0.122511
| 0.177642
| 0.324655
| 0.281776
| 0.134763
| 0.134763
| 0
| 0
| 0
| 0
| 0.10628
| 828
| 33
| 64
| 25.090909
| 0.882432
| 0
| 0
| 0.238095
| 0
| 0
| 0.020531
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.238095
| false
| 0
| 0.285714
| 0.238095
| 0.761905
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
a274a5bbb204ca195340a7ea1bbeade21bae011b
| 182
|
py
|
Python
|
tests/functional/adapters/test_memory.py
|
kvesteri/unistorage
|
cbdb93ba589c693cf9bacf96291ae62dce8fb443
|
[
"BSD-3-Clause"
] | 2
|
2017-06-07T09:24:10.000Z
|
2022-02-17T20:02:37.000Z
|
tests/functional/adapters/test_memory.py
|
kvesteri/unistorage
|
cbdb93ba589c693cf9bacf96291ae62dce8fb443
|
[
"BSD-3-Clause"
] | null | null | null |
tests/functional/adapters/test_memory.py
|
kvesteri/unistorage
|
cbdb93ba589c693cf9bacf96291ae62dce8fb443
|
[
"BSD-3-Clause"
] | null | null | null |
from .lib import FunctionalTestCase
class TestMemory(FunctionalTestCase):
def make_adapter(self):
from unistorage.adapters.memory import Memory
return Memory()
| 22.75
| 53
| 0.741758
| 19
| 182
| 7.052632
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.197802
| 182
| 7
| 54
| 26
| 0.917808
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a27ff8bf03d54be875a6a3c1a8b358265a47c48c
| 62
|
py
|
Python
|
Additonal Function.py
|
DRajyaguru/Demo
|
3bc9a5d07a8cc5d53906e2269bb99391adc38e16
|
[
"Apache-2.0"
] | null | null | null |
Additonal Function.py
|
DRajyaguru/Demo
|
3bc9a5d07a8cc5d53906e2269bb99391adc38e16
|
[
"Apache-2.0"
] | null | null | null |
Additonal Function.py
|
DRajyaguru/Demo
|
3bc9a5d07a8cc5d53906e2269bb99391adc38e16
|
[
"Apache-2.0"
] | 1
|
2019-12-05T06:12:59.000Z
|
2019-12-05T06:12:59.000Z
|
add(int no1,no2)
{
return no1+no2;
ans = no1 + no2;
}
commit;
| 8.857143
| 16
| 0.629032
| 11
| 62
| 3.545455
| 0.636364
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 0.193548
| 62
| 6
| 17
| 10.333333
| 0.66
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a2bdf3fa92adf894fe9e1e4a469d617baa8518a7
| 3,981
|
py
|
Python
|
DailyProgrammer/DP20170629B.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | 2
|
2020-12-23T18:59:22.000Z
|
2021-04-14T13:16:09.000Z
|
DailyProgrammer/DP20170629B.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
DailyProgrammer/DP20170629B.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
"""
[2017-06-29] Challenge #321 [Intermediate] Affine Cipher Solver
https://www.reddit.com/r/dailyprogrammer/comments/6k123x/20170629_challenge_321_intermediate_affine_cipher/
#Description
You are to output what you think is the solution to a given [Affine
Cipher](https://en.wikipedia.org/wiki/Affine_cipher). In short, Affine ciphers are encoded by the following formula for
each character in the plaintext: `C ≡ aP + b (mod 26)` where `a` and `b` are constants, `C` is the ciphertext letter,
and `P` is the plaintext letter. In this case, the letter "a" has the value of 0, "b" 1, and so on and so forth. If you
want a hint as to how to decode:
Decoding is done in the same fashion as encoding: P ≡ aC + b
In order to rank your decodings in terms of accuracy, I recommend you use a dictionary of some sort (builtin, or the
popular [enable1.txt](http://norvig.com/ngrams/enable1.txt) -- note that enable1 lacks "i" and "a" as words). You can
choose to not use a dictionary, but it will likely be harder.
Here's a sample of encoding, done with simple numbers (`a = 3, b = 2`) **N.B. This is done with the letters a-z mapped
to 1-26 (26≡0) instead of 0-25. This still is correct, just not the exact result you'd expect from following the method
I've established previously.**
`foobar`
First, we express our input numerically
`6, 15, 15, 2, 0, 18`
Then we multiply by `a`
`18, 45, 45, 12, 0, 54`
Optionally reduce to least positive residue
`18, 19, 19, 12, 0, 2`
Add `b`
`20, 21, 21, 18, 2, 4`
Now we change this to text again
`tyyrbd`
#Formal Inputs & Outputs
##Input description
Input will be words separated by spaces or newlines. Input will be in uppercase if need be (i.e. if you can't figure
out a way to handle mixed cases), but if not, it will be provided in regular text (e.g. `Lorum ipsum ... word`). Expect
only alphabetical characters. With reference to my previous equation, `a` will *only* be a number coprime with 26. Hint:
that is, a will be one of the following: 3, 5, 7, 11, 15, 17, 19, 21, 23, or 25
##Output description
What your program thinks is the correct decoding, in lowercase if you only took uppercase input, else in the same case
as you were given. You may give multiple outputs if there is a "tie" in your scoring, that is, if your program deemed
two or more decodings to be correct.
#Test Cases
**Test Case 1:** NLWC WC M NECN
this is a test
**Test Case 2:** YEQ LKCV BDK XCGK EZ BDK UEXLVM QPLQGWSKMB
you lead the race of the worlds unluckiest
**Test Case 2 Bonus:** Yeq lkcv bdk xcgk ez bdk uexlv'm qplqgwskmb.
You lead the race of the world's unluckiest.
**Test Case 3:** NH WRTEQ TFWRX TGY T YEZVXH GJNMGRXX STPGX NH XRGXR TX QWZJDW ZK WRNUZFB P WTY YEJGB ZE RNSQPRY XZNR
YJUU ZSPTQR QZ QWR YETPGX ZGR NPGJQR STXQ TGY URQWR VTEYX WTY XJGB
my heart aches and a drowsy numbness pains my sense as though of hemlock i had drunk or emptied some dull opiate to
the drains one minute past and lethe wards had sunk
**Test Case 3 Bonus:** Nh wrteq tfwrx, tgy t yezvxh gjnmgrxx stpgx / Nh xrgxr, tx qwzjdw zk wrnuzfb p wty yejgb, / Ze
rnsqpry xznr yjuu zsptqr qz qwr yetpgx / Zgr npgjqr stxq, tgy Urqwr-vteyx wty xjgb.
My heart aches, and a drowsy numbness pains / My sense, as though of hemlock I had drunk, / Or emptied some dull
opiate to the drains / One minute past, and Lethe-wards had sunk.
#Bonus
Make your solver work for all forms of input, not just alphabetical and make your output match the input. I think it
goes without saying that this challenge is for the English language, but if you want to, make this program for another
language or compatible with English and another. If you want another challenge, optimize your code for run-time (I'd be
interested to see submissions in this category).
# Credit
This challenge was submitted by /u/Cole_from_SE, many thanks! Have a good challenge idea? Consider submitting it to
/r/dailyprogrammer_ideas
"""
def main():
pass
if __name__ == "__main__":
main()
| 55.291667
| 120
| 0.743783
| 728
| 3,981
| 4.048077
| 0.445055
| 0.008483
| 0.009162
| 0.02036
| 0.240244
| 0.215813
| 0.202918
| 0.183237
| 0.183237
| 0.183237
| 0
| 0.033272
| 0.184627
| 3,981
| 71
| 121
| 56.070423
| 0.873691
| 0.981914
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
0c0ec29e4e0dd41bce824f787f45465955c5b196
| 112
|
py
|
Python
|
river/tree/nodes/__init__.py
|
fox-ds/river
|
9ce947ebfc012ec7059de0a09c765b2da7fc1d25
|
[
"BSD-3-Clause"
] | 2,184
|
2020-11-11T12:31:12.000Z
|
2022-03-31T16:45:41.000Z
|
river/tree/nodes/__init__.py
|
raphaelsty/river
|
2e0b25a2ef2d2ba9ec080cf86a491f7465433b18
|
[
"BSD-3-Clause"
] | 328
|
2019-01-25T13:48:43.000Z
|
2020-11-11T11:41:44.000Z
|
river/tree/nodes/__init__.py
|
raphaelsty/river
|
2e0b25a2ef2d2ba9ec080cf86a491f7465433b18
|
[
"BSD-3-Clause"
] | 240
|
2020-11-11T14:25:03.000Z
|
2022-03-31T08:25:50.000Z
|
"""
The `river.tree.nodes` module includes learning and split node
implementations for the hoeffding trees.
"""
| 22.4
| 62
| 0.767857
| 15
| 112
| 5.733333
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133929
| 112
| 4
| 63
| 28
| 0.886598
| 0.919643
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
0c0f12e257927731dc4c67d1e4db46fdea290764
| 568
|
py
|
Python
|
website/models.py
|
writtik/CRUD-in-Flask-Python-
|
779fe69364f05f44736b8bdd8706f53404b45de1
|
[
"Apache-2.0"
] | null | null | null |
website/models.py
|
writtik/CRUD-in-Flask-Python-
|
779fe69364f05f44736b8bdd8706f53404b45de1
|
[
"Apache-2.0"
] | null | null | null |
website/models.py
|
writtik/CRUD-in-Flask-Python-
|
779fe69364f05f44736b8bdd8706f53404b45de1
|
[
"Apache-2.0"
] | 1
|
2021-05-12T11:25:35.000Z
|
2021-05-12T11:25:35.000Z
|
from . import db
from flask_login import UserMixin
from sqlalchemy.sql import func
class Note(db.Model):
id = db.Column(db.Integer, primary_key=True)
data = db.Column(db.String(500))
user_id = db.Column(db.Integer, db.ForeignKey("user.id"))
class User(db.Model, UserMixin):
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(50), unique=True, nullable = False)
password = db.Column(db.String(50), nullable = False)
name = db.Column(db.String(50), nullable = False)
notes=db.relationship("Note")
| 33.411765
| 68
| 0.679577
| 84
| 568
| 4.547619
| 0.380952
| 0.146597
| 0.183246
| 0.167539
| 0.431937
| 0.335079
| 0.335079
| 0.172775
| 0
| 0
| 0
| 0.019355
| 0.181338
| 568
| 17
| 69
| 33.411765
| 0.802151
| 0
| 0
| 0.153846
| 0
| 0
| 0.019892
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.076923
| 0.230769
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
0c22b6bc44e939250de97b4271aad1b1e3b7d9ba
| 164
|
py
|
Python
|
run.py
|
noelnoche/udacity-fsnd-movie-trailer-website
|
8264bc933c4673ace70b60a3747fc79dd58b41ed
|
[
"MIT"
] | null | null | null |
run.py
|
noelnoche/udacity-fsnd-movie-trailer-website
|
8264bc933c4673ace70b60a3747fc79dd58b41ed
|
[
"MIT"
] | 4
|
2021-06-08T22:38:22.000Z
|
2022-03-12T00:50:25.000Z
|
run.py
|
noelnoche/udacity-fsnd-movie-trailer-website
|
8264bc933c4673ace70b60a3747fc79dd58b41ed
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
"""
This is the file that is invoked to start up the application.
"""
from trailersweb import app
if __name__ == "__main__":
app.run()
| 16.4
| 62
| 0.682927
| 25
| 164
| 4.16
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195122
| 164
| 9
| 63
| 18.222222
| 0.787879
| 0.506098
| 0
| 0
| 0
| 0
| 0.109589
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
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