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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1a838a5b5199f769aece8cf41deaf5eae27a57e4
| 245
|
py
|
Python
|
scripts/X_Imports.py
|
demostheneslld/astro
|
7cd9be56602be8510f4d2144edb356c21282f2fc
|
[
"MIT"
] | null | null | null |
scripts/X_Imports.py
|
demostheneslld/astro
|
7cd9be56602be8510f4d2144edb356c21282f2fc
|
[
"MIT"
] | 4
|
2015-09-26T18:07:40.000Z
|
2015-09-26T18:10:00.000Z
|
scripts/X_Imports.py
|
demostheneslld/astro
|
7cd9be56602be8510f4d2144edb356c21282f2fc
|
[
"MIT"
] | null | null | null |
######################################
########## ASTRO IMPORTS #############
######################################
import os
import time
import datetime as dt
import pandas as pd
import X_Header as header
import X_Astro as astro
import ctypes
| 22.272727
| 38
| 0.481633
| 26
| 245
| 4.461538
| 0.5
| 0.12069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 245
| 11
| 39
| 22.272727
| 0.534562
| 0.053061
| 0
| 0
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| true
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| 0
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| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1a8574b1aafa7ed108c04e30047be9b3a56a7af9
| 231
|
py
|
Python
|
Perceptron/__init__.py
|
paolodelia99/Python-Perceptron
|
9a4e9ab47634fd7a81d54c5792658b77a715b4b4
|
[
"MIT"
] | 1
|
2021-03-16T11:18:01.000Z
|
2021-03-16T11:18:01.000Z
|
Perceptron/__init__.py
|
paolodelia99/Python-Perceptron
|
9a4e9ab47634fd7a81d54c5792658b77a715b4b4
|
[
"MIT"
] | null | null | null |
Perceptron/__init__.py
|
paolodelia99/Python-Perceptron
|
9a4e9ab47634fd7a81d54c5792658b77a715b4b4
|
[
"MIT"
] | null | null | null |
__version__ = "1.0.0"
__name__ = "Perceptron"
from .perceptron import Perceptron
# Importing all the activation functions
from . import functions
from .functions.activationFunctions import *
from .functions.lossFunctions import *
| 25.666667
| 44
| 0.800866
| 26
| 231
| 6.807692
| 0.538462
| 0.146893
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014851
| 0.125541
| 231
| 8
| 45
| 28.875
| 0.861386
| 0.164502
| 0
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| 0
| 0
| 0.078534
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| 0
| false
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1a8efeea901572d8292bec2e8509941ae99d3c9f
| 143
|
py
|
Python
|
custom/custom_metrics/accuracy.py
|
AISyLab/AISY_Framework
|
51af3a639d6dee4c970859f5cd95f35f1db26dcc
|
[
"MIT"
] | 12
|
2021-03-26T08:17:07.000Z
|
2022-01-05T22:31:19.000Z
|
custom/custom_metrics/accuracy.py
|
AISyLab/AISY_Framework
|
51af3a639d6dee4c970859f5cd95f35f1db26dcc
|
[
"MIT"
] | 1
|
2021-03-26T09:11:34.000Z
|
2021-03-27T01:32:35.000Z
|
custom/custom_metrics/accuracy.py
|
AISyLab/AISY_Framework
|
51af3a639d6dee4c970859f5cd95f35f1db26dcc
|
[
"MIT"
] | 2
|
2021-03-14T01:35:49.000Z
|
2021-03-31T06:43:01.000Z
|
def run(dataset, settings, model, *args):
loss, acc = model.evaluate(dataset.x_validation, dataset.y_validation, verbose=0)
return acc
| 35.75
| 85
| 0.734266
| 20
| 143
| 5.15
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008197
| 0.146853
| 143
| 3
| 86
| 47.666667
| 0.836066
| 0
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| 0
| 1
| 0.333333
| false
| 0
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| 0.666667
| 0
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| null | 0
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| 1
| 0
|
0
| 4
|
1aac81728ace8b5063f9946bbb2c21db18ab4d02
| 148
|
py
|
Python
|
work/apps.py
|
emin100/kip
|
f78c17476e6e0e493ef164da7a8671967b4137f7
|
[
"MIT"
] | null | null | null |
work/apps.py
|
emin100/kip
|
f78c17476e6e0e493ef164da7a8671967b4137f7
|
[
"MIT"
] | null | null | null |
work/apps.py
|
emin100/kip
|
f78c17476e6e0e493ef164da7a8671967b4137f7
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class WorkConfig(AppConfig):
name = 'work'
| 16.444444
| 39
| 0.722973
| 18
| 148
| 5.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00813
| 0.168919
| 148
| 8
| 40
| 18.5
| 0.821138
| 0.141892
| 0
| 0
| 0
| 0
| 0.032
| 0
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| 0
| 0.5
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| null | 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1ac6784f32d1ebe7eadb162660a9dc070cb6ed07
| 527
|
py
|
Python
|
programming_for_biology/lists_and_tuples/squares.py
|
jnferner/programming-for-biology
|
d895a20a9591888616af2bae2e2d87feebf6d60a
|
[
"MIT"
] | null | null | null |
programming_for_biology/lists_and_tuples/squares.py
|
jnferner/programming-for-biology
|
d895a20a9591888616af2bae2e2d87feebf6d60a
|
[
"MIT"
] | null | null | null |
programming_for_biology/lists_and_tuples/squares.py
|
jnferner/programming-for-biology
|
d895a20a9591888616af2bae2e2d87feebf6d60a
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
if __name__ == '__main__':
numbers = [[6, 1, 6], [6], [5, 6, 6], [5], [4], [7, 5, 7, 2], [5, 8], [9], [7], [5, 6], [3, 4], [8], [4, 9, 3, 6], [8, 2, 4], [9, 7], [6, 8], [2, 5], [2, 4], [8, 3, 4], [5, 2], [4], [4, 4, 5, 5], [5, 1], [1, 4, 8], [6, 5], [5, 7, 8, 9], [1], [6], [3], [6], [7, 3, 8, 8], [6], [2, 5, 4], [7], [3, 7], [1, 9, 1, 1], [2, 6, 2], [2, 7, 5], [6, 3, 7], [6, 1], [6, 3, 9, 7], [4, 3, 3]]
squares = [sum([n**2 for n in subnumbers]) for subnumbers in numbers]
print(squares)
| 87.833333
| 383
| 0.375712
| 117
| 527
| 1.623932
| 0.205128
| 0.042105
| 0.031579
| 0.042105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2425
| 0.240987
| 527
| 6
| 384
| 87.833333
| 0.2325
| 0.039848
| 0
| 0
| 0
| 0
| 0.01581
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
46cbbf44da8dbf75d4afeb625afdb57c01bf0b68
| 23
|
py
|
Python
|
decorators/infos.py
|
Louis-Navarro/decorators
|
6339a32aae66608cbf7fd8a1221b47ae88992d53
|
[
"MIT"
] | null | null | null |
decorators/infos.py
|
Louis-Navarro/decorators
|
6339a32aae66608cbf7fd8a1221b47ae88992d53
|
[
"MIT"
] | null | null | null |
decorators/infos.py
|
Louis-Navarro/decorators
|
6339a32aae66608cbf7fd8a1221b47ae88992d53
|
[
"MIT"
] | null | null | null |
__version__ = "0.01a2"
| 11.5
| 22
| 0.695652
| 3
| 23
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0.130435
| 23
| 1
| 23
| 23
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0.26087
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
20182b2f6379c33fe01f7cace9d0f70811bef0df
| 99
|
py
|
Python
|
src/disco/main/__init__.py
|
bkimmig/urban-disco
|
29a157c156697e3bf850b2b683bc3a23e911bfb1
|
[
"MIT"
] | null | null | null |
src/disco/main/__init__.py
|
bkimmig/urban-disco
|
29a157c156697e3bf850b2b683bc3a23e911bfb1
|
[
"MIT"
] | 2
|
2019-08-25T22:06:22.000Z
|
2019-08-29T17:12:53.000Z
|
src/disco/main/__init__.py
|
bkimmig/urban-disco
|
29a157c156697e3bf850b2b683bc3a23e911bfb1
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
mod = Blueprint('main', __name__, url_prefix="")
from . import views
| 16.5
| 48
| 0.737374
| 13
| 99
| 5.230769
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151515
| 99
| 5
| 49
| 19.8
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0.040404
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
|
0
| 4
|
2026bb3decb0d0f983052d5f4abe1f977ace6709
| 63
|
py
|
Python
|
login.py
|
qruihua/test_01
|
7a6d4ed66deafccac0ba6316c25c5ecaaab101f3
|
[
"MIT"
] | null | null | null |
login.py
|
qruihua/test_01
|
7a6d4ed66deafccac0ba6316c25c5ecaaab101f3
|
[
"MIT"
] | null | null | null |
login.py
|
qruihua/test_01
|
7a6d4ed66deafccac0ba6316c25c5ecaaab101f3
|
[
"MIT"
] | null | null | null |
num1=100
num2=200
num3=300
a
b
c
1
2
3
ttttt
e
f
g
9
8
7
| 2.73913
| 8
| 0.603175
| 19
| 63
| 2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.439024
| 0.349206
| 63
| 22
| 9
| 2.863636
| 0.487805
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| 0
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| null | 0
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| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
20328abc902c8418e591fc115d2bcf5df802b5c6
| 223
|
py
|
Python
|
tests/fixtures/models/__init__.py
|
XavierJingfeng/starter
|
274566e491d5c7157f3c8deff136c56838022349
|
[
"MIT"
] | null | null | null |
tests/fixtures/models/__init__.py
|
XavierJingfeng/starter
|
274566e491d5c7157f3c8deff136c56838022349
|
[
"MIT"
] | null | null | null |
tests/fixtures/models/__init__.py
|
XavierJingfeng/starter
|
274566e491d5c7157f3c8deff136c56838022349
|
[
"MIT"
] | null | null | null |
from tests.fixtures.models.simple_gaussian_mlp_model import (
SimpleGaussianMLPModel)
from tests.fixtures.models.simple_mlp_model import SimpleMLPModel
__all__ = [
"SimpleGaussianMLPModel",
"SimpleMLPModel",
]
| 24.777778
| 65
| 0.798206
| 22
| 223
| 7.681818
| 0.545455
| 0.106509
| 0.201183
| 0.272189
| 0.343195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125561
| 223
| 8
| 66
| 27.875
| 0.866667
| 0
| 0
| 0
| 0
| 0
| 0.161435
| 0.098655
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.285714
| 0
| 0.285714
| 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
|
203d1b18ce973cb48f2ecd6f633b1578d058e521
| 3,093
|
py
|
Python
|
OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GLES1/OES/packed_depth_stencil.py
|
JE-Chen/je_old_repo
|
a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5
|
[
"MIT"
] | null | null | null |
OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GLES1/OES/packed_depth_stencil.py
|
JE-Chen/je_old_repo
|
a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5
|
[
"MIT"
] | null | null | null |
OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GLES1/OES/packed_depth_stencil.py
|
JE-Chen/je_old_repo
|
a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5
|
[
"MIT"
] | null | null | null |
'''OpenGL extension OES.packed_depth_stencil
This module customises the behaviour of the
OpenGL.raw.GLES1.OES.packed_depth_stencil to provide a more
Python-friendly API
Overview (from the spec)
Many OpenGL implementations have chosen to interleave the depth and stencil
buffers into one buffer, often with 24 bits of depth precision and 8 bits of
stencil data. 32 bits is more than is needed for the depth buffer much of
the time; a 24-bit depth buffer, on the other hand, requires that reads and
writes of depth data be unaligned with respect to power-of-two boundaries.
On the other hand, 8 bits of stencil data is more than sufficient for most
applications, so it is only natural to pack the two buffers into a single
buffer with both depth and stencil data. OpenGL never provides direct
access to the buffers, so the OpenGL implementation can provide an interface
to applications where it appears the one merged buffer is composed of two
logical buffers.
One disadvantage of this scheme is that OpenGL lacks any means by which this
packed data can be handled efficiently. For example, when an application
reads from the 24-bit depth buffer, using the type GL_UNSIGNED_SHORT will
lose 8 bits of data, while GL_UNSIGNED_INT has 8 too many. Both require
expensive format conversion operations. A 24-bit format would be no more
suitable, because it would also suffer from the unaligned memory accesses
that made the standalone 24-bit depth buffer an unattractive proposition in
the first place.
If OES_depth_texture is supported, a new data format, GL_DEPTH_STENCIL_OES,
as well as a packed data type, UNSIGNED_INT_24_8_OES, together can be used
with glTex[Sub]Image2D. This provides an efficient way to supply data for a
24-bit depth texture. When a texture with DEPTH_STENCIL_OES data is bound
for texturing, only the depth component is accessible through the texture
fetcher.
This extension also provides a new sized internal format,
DEPTH24_STENCIL8_OES, which can be used for renderbuffer storage. When a
renderbuffer or texture image with a DEPTH_STENCIL_OES base internal format
is attached to both the depth and stencil attachment points of a framebuffer
object, then it becomes both the depth and stencil buffers of the
framebuffer. This fits nicely with hardware that interleaves both depth and
stencil data into a single buffer.
The official definition of this extension is available here:
http://www.opengl.org/registry/specs/OES/packed_depth_stencil.txt
'''
from OpenGL import platform, constant, arrays
from OpenGL import extensions, wrapper
import ctypes
from OpenGL.raw.GLES1 import _types, _glgets
from OpenGL.raw.GLES1.OES.packed_depth_stencil import *
from OpenGL.raw.GLES1.OES.packed_depth_stencil import _EXTENSION_NAME
def glInitPackedDepthStencilOES():
'''Return boolean indicating whether this extension is available'''
from OpenGL import extensions
return extensions.hasGLExtension( _EXTENSION_NAME )
### END AUTOGENERATED SECTION
| 50.704918
| 78
| 0.786615
| 486
| 3,093
| 4.934156
| 0.407407
| 0.040033
| 0.029191
| 0.043786
| 0.118015
| 0.052127
| 0.052127
| 0.037531
| 0.037531
| 0
| 0
| 0.011458
| 0.181701
| 3,093
| 61
| 79
| 50.704918
| 0.935994
| 0.926932
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.777778
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
205423c0e4fe346dfce61bc241e6c2307c827a99
| 29
|
py
|
Python
|
sdks/python-pyawd/src/pyawd/utils/__init__.py
|
gcodebackups/awd
|
24385969fea7857df1e5e34f169a152a488fe353
|
[
"Apache-2.0"
] | 1
|
2020-01-22T19:15:33.000Z
|
2020-01-22T19:15:33.000Z
|
sdks/python-pyawd/src/pyawd/utils/__init__.py
|
gcodebackups/awd
|
24385969fea7857df1e5e34f169a152a488fe353
|
[
"Apache-2.0"
] | null | null | null |
sdks/python-pyawd/src/pyawd/utils/__init__.py
|
gcodebackups/awd
|
24385969fea7857df1e5e34f169a152a488fe353
|
[
"Apache-2.0"
] | null | null | null |
__all__ = [ 'geom', 'math' ]
| 14.5
| 28
| 0.517241
| 3
| 29
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.206897
| 29
| 1
| 29
| 29
| 0.478261
| 0
| 0
| 0
| 0
| 0
| 0.275862
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
645877871e14e843eb89bb71ae1b43fa8eff2ad8
| 1,170
|
py
|
Python
|
main.py
|
wsxc0617/wechat-robot
|
9f4f4cd428b3929cb5bdb4ddeed9ec1177e7510a
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
wsxc0617/wechat-robot
|
9f4f4cd428b3929cb5bdb4ddeed9ec1177e7510a
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
wsxc0617/wechat-robot
|
9f4f4cd428b3929cb5bdb4ddeed9ec1177e7510a
|
[
"Apache-2.0"
] | null | null | null |
# import requests
#
# a = {
# "HeWeather6": [
# {
# "basic": {
# "cid": "CN101280109",
# "location": "天河",
# "parent_city": "广州",
# "admin_area": "广东",
# "cnty": "中国",
# "lat": "23.1355896",
# "lon": "113.3353653",
# "tz": "+8.00"
# },
# "update": {
# "loc": "2019-05-16 23:03",
# "utc": "2019-05-16 15:03"
# },
# "status": "ok",
# "now": {
# "cloud": "97",
# "cond_code": "104",
# "cond_txt": "阴",
# "fl": "32",
# "hum": "72",
# "pcpn": "0.0",
# "pres": "1002",
# "tmp": "29",
# "vis": "16",
# "wind_deg": "204",
# "wind_dir": "西南风",
# "wind_sc": "2",
# "wind_spd": "9"
# }
# }
# ]
# }
#
# # print(a['HeWeather6'][0].get('now')['fl'])
#
#
#
#
#
#
msg = '/今天/天气怎么样'
print(len(msg.split('/')))
| 23.4
| 46
| 0.267521
| 89
| 1,170
| 3.426966
| 0.797753
| 0.072131
| 0.052459
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143608
| 0.511966
| 1,170
| 49
| 47
| 23.877551
| 0.390543
| 0.880342
| 0
| 0
| 0
| 0
| 0.108696
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
647303a2818240784f7089d021baf3a2d3ec0bc8
| 247
|
py
|
Python
|
nerium/schema/compact.py
|
OAODEV/nerium
|
c0dbef1fe0534a9266a240ad2103f7f9ae4544c5
|
[
"Apache-2.0"
] | 4
|
2018-01-22T21:48:02.000Z
|
2018-07-14T20:38:35.000Z
|
nerium/schema/compact.py
|
OAODEV/nerium
|
c0dbef1fe0534a9266a240ad2103f7f9ae4544c5
|
[
"Apache-2.0"
] | 32
|
2018-01-22T21:32:22.000Z
|
2019-02-28T23:00:29.000Z
|
nerium/schema/compact.py
|
tym-xqo/nerium
|
c0dbef1fe0534a9266a240ad2103f7f9ae4544c5
|
[
"Apache-2.0"
] | 2
|
2018-05-03T19:18:02.000Z
|
2018-08-11T06:56:08.000Z
|
# -*- coding: utf-8 -*-
from marshmallow import Schema, fields
class ResultSchema(Schema):
columns = fields.Function(lambda obj: list(obj.result[0].keys()))
data = fields.Function(lambda obj: [tuple(row.values()) for row in obj.result])
| 30.875
| 83
| 0.696356
| 34
| 247
| 5.058824
| 0.705882
| 0.162791
| 0.232558
| 0.267442
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009479
| 0.145749
| 247
| 7
| 84
| 35.285714
| 0.805687
| 0.08502
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b3b83e2c5ecdb72437670b43f2593a2774e910c7
| 310
|
py
|
Python
|
tests/test_tools/cors.py
|
lallamilagro/yafas-server
|
8bd8b64c7bfdaeeadffe0daf91eecf91091fcb94
|
[
"MIT"
] | null | null | null |
tests/test_tools/cors.py
|
lallamilagro/yafas-server
|
8bd8b64c7bfdaeeadffe0daf91eecf91091fcb94
|
[
"MIT"
] | null | null | null |
tests/test_tools/cors.py
|
lallamilagro/yafas-server
|
8bd8b64c7bfdaeeadffe0daf91eecf91091fcb94
|
[
"MIT"
] | null | null | null |
from yafas import config
def cors_callback(client, response):
assert response.headers[
'Access-Control-Allow-Origin'] == config['ALLOW_ORIGIN']
assert response.headers['Access-Control-Allow-Credentials'] == 'true'
assert 'Content-Type' in response.headers['Access-Control-Allow-Headers']
| 34.444444
| 77
| 0.732258
| 37
| 310
| 6.081081
| 0.540541
| 0.2
| 0.28
| 0.373333
| 0.493333
| 0.346667
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135484
| 310
| 8
| 78
| 38.75
| 0.839552
| 0
| 0
| 0
| 0
| 0
| 0.370968
| 0.280645
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.166667
| false
| 0
| 0.166667
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b3c677f3762fc7205d4cc08dc87f2f47474dccf8
| 84
|
py
|
Python
|
gryphon/lib/analysis/legacy/util.py
|
qiquanzhijia/gryphon
|
7bb2c646e638212bd1352feb1b5d21536a5b918d
|
[
"Apache-2.0"
] | 1,109
|
2019-06-20T19:23:27.000Z
|
2022-03-20T14:03:43.000Z
|
gryphon/lib/analysis/legacy/util.py
|
qiquanzhijia/gryphon
|
7bb2c646e638212bd1352feb1b5d21536a5b918d
|
[
"Apache-2.0"
] | 63
|
2019-06-21T05:36:17.000Z
|
2021-05-26T21:08:15.000Z
|
gryphon/lib/analysis/legacy/util.py
|
qiquanzhijia/gryphon
|
7bb2c646e638212bd1352feb1b5d21536a5b918d
|
[
"Apache-2.0"
] | 181
|
2019-06-20T19:42:05.000Z
|
2022-03-21T13:05:13.000Z
|
def get_relevant_valuesa_and_timestamps(timestamps, values, window_size):
pass
| 21
| 73
| 0.821429
| 11
| 84
| 5.818182
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119048
| 84
| 3
| 74
| 28
| 0.864865
| 0
| 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
|
b3cd881b10f014f6c57e59feb1192aff0554c6cb
| 59
|
py
|
Python
|
tqdj/__init__.py
|
sri-rad/tqdj
|
1c615a112c7588b4a55dac8367804453f6a574b6
|
[
"MIT"
] | 54
|
2020-09-23T17:58:56.000Z
|
2021-07-11T13:01:22.000Z
|
tqdj/__init__.py
|
sri-rad/tqdj
|
1c615a112c7588b4a55dac8367804453f6a574b6
|
[
"MIT"
] | null | null | null |
tqdj/__init__.py
|
sri-rad/tqdj
|
1c615a112c7588b4a55dac8367804453f6a574b6
|
[
"MIT"
] | 1
|
2020-09-30T00:05:23.000Z
|
2020-09-30T00:05:23.000Z
|
from .std import tqdj, trange
__all__ = ['tqdj', 'trange']
| 19.666667
| 29
| 0.677966
| 8
| 59
| 4.5
| 0.75
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152542
| 59
| 3
| 30
| 19.666667
| 0.72
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
37724837a57e35efe992816cd5e521f44fa84b69
| 794
|
py
|
Python
|
app/recommendations/repositories.py
|
ExiledNarwal28/glo-2005-project
|
3b5b5f9cdcfe53d1e6e702609587068c4bd3310d
|
[
"MIT"
] | null | null | null |
app/recommendations/repositories.py
|
ExiledNarwal28/glo-2005-project
|
3b5b5f9cdcfe53d1e6e702609587068c4bd3310d
|
[
"MIT"
] | null | null | null |
app/recommendations/repositories.py
|
ExiledNarwal28/glo-2005-project
|
3b5b5f9cdcfe53d1e6e702609587068c4bd3310d
|
[
"MIT"
] | 1
|
2020-05-21T10:07:07.000Z
|
2020-05-21T10:07:07.000Z
|
from abc import ABCMeta, abstractmethod
class RecommendationRepository:
__metaclass__ = ABCMeta
@abstractmethod
def get_all_for_sport(self, sport_id):
""" abstract method """
@abstractmethod
def get_all_for_practice_center(self, practice_center_id):
""" abstract method """
@abstractmethod
def get_all_for_sport_and_user(self, username):
""" abstract method """
@abstractmethod
def get_all_for_practice_center_and_user(self, username):
""" abstract method """
@abstractmethod
def add_to_sport(self, recommendation, sport_id):
""" abstract method """
@abstractmethod
def add_to_practice_center(self, recommendation: object, practice_center_id: object) -> object:
""" abstract method """
| 26.466667
| 99
| 0.688917
| 85
| 794
| 6.047059
| 0.305882
| 0.198444
| 0.272374
| 0.301556
| 0.603113
| 0.603113
| 0.429961
| 0.429961
| 0.210117
| 0
| 0
| 0
| 0.216625
| 794
| 29
| 100
| 27.37931
| 0.826367
| 0.125945
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.066667
| 0
| 0.6
| 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
|
377b5a3fe75fc0b1258aaf65e68535362a7870ed
| 289
|
py
|
Python
|
parser/team05/proyecto/NodoAST.py
|
webdev188/tytus
|
847071edb17b218f51bb969d335a8ec093d13f94
|
[
"MIT"
] | 35
|
2020-12-07T03:11:43.000Z
|
2021-04-15T17:38:16.000Z
|
parser/team05/proyecto/NodoAST.py
|
webdev188/tytus
|
847071edb17b218f51bb969d335a8ec093d13f94
|
[
"MIT"
] | 47
|
2020-12-09T01:29:09.000Z
|
2021-01-13T05:37:50.000Z
|
parser/team05/proyecto/NodoAST.py
|
webdev188/tytus
|
847071edb17b218f51bb969d335a8ec093d13f94
|
[
"MIT"
] | 556
|
2020-12-07T03:13:31.000Z
|
2021-06-17T17:41:10.000Z
|
class NodoAST:
def __init__(self, contenido):
self._contenido = contenido
self._hijos = []
def getContenido(self):
return self._contenido
def getHijos(self):
return self._hijos
def setHijo(self, hijo):
self._hijos.append(hijo)
| 22.230769
| 35
| 0.612457
| 31
| 289
| 5.419355
| 0.419355
| 0.232143
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.294118
| 289
| 13
| 36
| 22.230769
| 0.823529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.7
| 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
|
378a3f9c084c14b6d35d27b4389a33b1748c9d8d
| 1,525
|
py
|
Python
|
FrcScoutingWebsite/Libarys/DataFrame.py
|
Fightfx1/Frc-5951-Makers-Assemble-scouting-website
|
d90eeee64f440b0d2f2ff0c7d92cfb435c6dd6aa
|
[
"MIT"
] | 1
|
2020-03-16T22:23:30.000Z
|
2020-03-16T22:23:30.000Z
|
FrcScoutingWebsite/Libarys/DataFrame.py
|
Fightfx1/Frc-5951-Makers-Assemble-scouting-website
|
d90eeee64f440b0d2f2ff0c7d92cfb435c6dd6aa
|
[
"MIT"
] | null | null | null |
FrcScoutingWebsite/Libarys/DataFrame.py
|
Fightfx1/Frc-5951-Makers-Assemble-scouting-website
|
d90eeee64f440b0d2f2ff0c7d92cfb435c6dd6aa
|
[
"MIT"
] | null | null | null |
import pandas as pd
pd.options.display.max_rows = 999
class SaveDataFrame:
def __init__(self,SpreadSheet_Lib, FireBase_Lib):
self._privatedf = None
self.__SpreadSheet_Lib = SpreadSheet_Lib
self.__FireBase_Lib = FireBase_Lib
def set_dataframe(self):
self._privatedf = pd.DataFrame(self.__SpreadSheet_Lib.get_regular_scouting_data() + self.__FireBase_Lib.get_scouting_data())
if not self._privatedf.empty:
self._privatedf = self._privatedf.loc[~self._privatedf['comments'].isin(['T'])]
self._privatedf['comments'] = self._privatedf['comments'].replace(0,"")
self._privatedf = self._privatedf.sort_values(by=['Team Number','Match Number'],ascending=[True, True])
def get_dataframe(self):
return self._privatedf
class SaveDataFrameOfGames:
def __init__(self,):
self._privatedf = None
self.__data_event = None
def set_dataframe(self,DataFrame,data_event):
self._privatedf = pd.DataFrame(DataFrame)
self.__data_event = data_event
def get_event(self):
return self.__data_event
def get_dataframe(self):
return self._privatedf
class SaveDataFrameOfPitScouting:
def __init__(self,SpreadSheet_Lib):
self._privatedf = None
self.__SpreadSheet_Lib = SpreadSheet_Lib
def set_dataframe(self):
self._privatedf = pd.DataFrame(self.__SpreadSheet_Lib.get_all_pit_scouting_data())
def get_dataframe(self):
return self._privatedf
| 31.770833
| 132
| 0.699672
| 179
| 1,525
| 5.502793
| 0.268156
| 0.224365
| 0.109645
| 0.063959
| 0.412183
| 0.364467
| 0.364467
| 0.325888
| 0.238579
| 0.136041
| 0
| 0.003289
| 0.202623
| 1,525
| 47
| 133
| 32.446809
| 0.806743
| 0
| 0
| 0.382353
| 0
| 0
| 0.031475
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.294118
| false
| 0
| 0.029412
| 0.117647
| 0.529412
| 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
|
37caab22bb9e055133cb1cbcbc3806f5e31bd587
| 360
|
py
|
Python
|
python/chap_0/0.6.2.py
|
RyodoTanaka/Cording_Matrix
|
7d357266c0b659495f226000418e9cdaee133ebf
|
[
"BSD-3-Clause"
] | null | null | null |
python/chap_0/0.6.2.py
|
RyodoTanaka/Cording_Matrix
|
7d357266c0b659495f226000418e9cdaee133ebf
|
[
"BSD-3-Clause"
] | null | null | null |
python/chap_0/0.6.2.py
|
RyodoTanaka/Cording_Matrix
|
7d357266c0b659495f226000418e9cdaee133ebf
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from random import randint
for i in range(3):
print randint(0,1000)
def movie_review(name) : return ('See it !', 'A gem !', 'Ideological claptrap !')[randint(0,2)]
print movie_review('Star Wars')
print movie_review('Sin GodZilla')
print movie_review('Catch me if you can')
print movie_review('Evangelion')
| 24
| 95
| 0.697222
| 56
| 360
| 4.392857
| 0.732143
| 0.223577
| 0.260163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029221
| 0.144444
| 360
| 14
| 96
| 25.714286
| 0.769481
| 0.116667
| 0
| 0
| 0
| 0
| 0.275316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.125
| null | null | 0.625
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
8079ffec1d15299b31d4cb96cae3f6fa7b706911
| 240
|
py
|
Python
|
experiments/make_folders_compose.py
|
uiuc-arc/DeepJ
|
1c0493511b12394ca6f9a0098d3401cdcab50806
|
[
"MIT"
] | 2
|
2022-01-20T15:46:19.000Z
|
2022-01-29T16:51:37.000Z
|
experiments/make_folders_compose.py
|
uiuc-arc/DeepJ
|
1c0493511b12394ca6f9a0098d3401cdcab50806
|
[
"MIT"
] | null | null | null |
experiments/make_folders_compose.py
|
uiuc-arc/DeepJ
|
1c0493511b12394ca6f9a0098d3401cdcab50806
|
[
"MIT"
] | 1
|
2021-10-31T02:02:43.000Z
|
2021-10-31T02:02:43.000Z
|
import os
splits = [2, 3, 5, 9]
os.system('mkdir results_compose')
os.chdir('results_compose')
os.system('mkdir results_compose_nosplit && mkdir results_compose_baseline')
for s in splits:
os.system(f'mkdir results_compose_split{s}')
| 24
| 76
| 0.754167
| 38
| 240
| 4.552632
| 0.5
| 0.404624
| 0.439306
| 0.231214
| 0.312139
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018868
| 0.116667
| 240
| 9
| 77
| 26.666667
| 0.79717
| 0
| 0
| 0
| 0
| 0
| 0.5375
| 0.295833
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.142857
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
80a7a5f3ca49b0b4a521e0411197219b4ea30b6b
| 65
|
py
|
Python
|
pugh_torch/tests/__init__.py
|
BrianPugh/pugh_torch
|
d620a518d78ec03556c5089bfc76e4cf7bd0cd70
|
[
"MIT"
] | 4
|
2020-09-15T17:30:31.000Z
|
2021-08-07T02:32:22.000Z
|
pugh_torch/tests/__init__.py
|
BrianPugh/pugh_torch
|
d620a518d78ec03556c5089bfc76e4cf7bd0cd70
|
[
"MIT"
] | null | null | null |
pugh_torch/tests/__init__.py
|
BrianPugh/pugh_torch
|
d620a518d78ec03556c5089bfc76e4cf7bd0cd70
|
[
"MIT"
] | 1
|
2020-11-02T22:46:32.000Z
|
2020-11-02T22:46:32.000Z
|
# -*- coding: utf-8 -*-
"""Unit test package for pugh_torch."""
| 16.25
| 39
| 0.584615
| 9
| 65
| 4.111111
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018519
| 0.169231
| 65
| 3
| 40
| 21.666667
| 0.666667
| 0.861538
| 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
|
80c47583cdba5d47a88762c66526e9be9de97c3e
| 216
|
py
|
Python
|
tests/core/test_annotation.py
|
ta4tsering/openpecha-toolkit
|
ff24b4813fb8146a4327e746e4024890b6807bea
|
[
"Apache-2.0"
] | 1
|
2020-01-28T05:10:14.000Z
|
2020-01-28T05:10:14.000Z
|
tests/core/test_annotation.py
|
ta4tsering/openpecha-toolkit
|
ff24b4813fb8146a4327e746e4024890b6807bea
|
[
"Apache-2.0"
] | 38
|
2019-11-12T10:49:25.000Z
|
2021-04-07T12:10:24.000Z
|
tests/core/test_annotation.py
|
ta4tsering/openpecha-toolkit
|
ff24b4813fb8146a4327e746e4024890b6807bea
|
[
"Apache-2.0"
] | 6
|
2019-11-14T12:30:35.000Z
|
2020-05-12T01:50:13.000Z
|
import pytest
from pydantic import ValidationError
from openpecha.core.annotation import Span
def test_span_end_must_not_be_less_than_start():
with pytest.raises(ValidationError):
Span(start=2, end=1)
| 21.6
| 48
| 0.791667
| 31
| 216
| 5.258065
| 0.709677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010811
| 0.143519
| 216
| 9
| 49
| 24
| 0.87027
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.5
| 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
|
80c4a287ce23cb36260a7032cf2504d0322f0963
| 804
|
py
|
Python
|
pagent/tests/distributionTests.py
|
cloutfront/pagent
|
72ca8caaefc9b5955989e3737f099e0ecafcd77f
|
[
"MIT"
] | null | null | null |
pagent/tests/distributionTests.py
|
cloutfront/pagent
|
72ca8caaefc9b5955989e3737f099e0ecafcd77f
|
[
"MIT"
] | null | null | null |
pagent/tests/distributionTests.py
|
cloutfront/pagent
|
72ca8caaefc9b5955989e3737f099e0ecafcd77f
|
[
"MIT"
] | null | null | null |
import unittest
from pagent.distribution import Distribution
class TestDistribution(unittest.TestCase):
test_distribuition = Distribution()
def test_read
def test_distribuition_map(self):
self.assertTrue(self.test_distribuition.distributions)
def test_rollForValue(self):
for key, dist in self.test_distribuition.distributions.items():
print({key : dist})
roll = self.test_distribuition.rollForValue(dist)
print(roll)
self.assertTrue(roll)
for key, dist in self.test_distribuition.distributions.items():
print({key : dist})
roll = self.test_distribuition.rollForValue(dist)
print(roll)
self.assertTrue(roll)
if __name__ == '__main__':
unittest.main()
| 30.923077
| 71
| 0.660448
| 83
| 804
| 6.180723
| 0.325301
| 0.231969
| 0.204678
| 0.19883
| 0.510721
| 0.510721
| 0.510721
| 0.510721
| 0.510721
| 0.510721
| 0
| 0
| 0.251244
| 804
| 26
| 72
| 30.923077
| 0.852159
| 0
| 0
| 0.5
| 0
| 0
| 0.009938
| 0
| 0
| 0
| 0
| 0
| 0.15
| 0
| null | null | 0
| 0.1
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
80d3fb6c3e3e1734cd5b2e3cf93c669f692df0ca
| 3,211
|
py
|
Python
|
blender/2.79/scripts/addons/archipack/presets/archipack_fence/inox_glass_concrete.py
|
uzairakbar/bpy2.79
|
3a3e0004ac6783c4e4b89d939e4432de99026a85
|
[
"MIT"
] | 3
|
2019-09-16T10:29:19.000Z
|
2022-02-11T14:43:18.000Z
|
engine/2.80/scripts/addons/archipack/presets/archipack_fence/inox_glass_concrete.py
|
byteinc/Phasor
|
f7d23a489c2b4bcc3c1961ac955926484ff8b8d9
|
[
"Unlicense"
] | null | null | null |
engine/2.80/scripts/addons/archipack/presets/archipack_fence/inox_glass_concrete.py
|
byteinc/Phasor
|
f7d23a489c2b4bcc3c1961ac955926484ff8b8d9
|
[
"Unlicense"
] | 4
|
2020-02-19T20:02:26.000Z
|
2022-02-11T18:47:56.000Z
|
import bpy
d = bpy.context.active_object.data.archipack_fence[0]
d.rail_expand = True
d.shape = 'RECTANGLE'
d.rail = True
d.radius = 0.699999988079071
d.user_defined_resolution = 12
d.handrail = True
d.handrail_x = 0.07999999076128006
d.subs_alt = 0.10000000149011612
d.handrail_extend = 0.0
d.idmat_subs = '0'
d.rail_alt = (-0.2999999523162842, 0.699999988079071, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
d.subs_x = 0.029999999329447746
d.subs_offset_x = 0.0
d.handrail_y = 0.03999999910593033
d.user_defined_subs_enable = True
d.rail_x = (0.19999998807907104, 0.029999999329447746, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806)
d.post_y = 0.009999999776482582
d.handrail_alt = 1.0
d.subs_y = 0.09999999403953552
d.idmat_panel = '2'
d.panel_expand = True
d.panel_x = 0.009999999776482582
d.idmats_expand = True
d.idmat_post = '0'
d.idmat_handrail = '1'
d.user_defined_post_enable = True
d.x_offset = 0.0
d.subs_z = 0.7999998927116394
d.subs_bottom = 'STEP'
d.post_expand = True
d.subs_expand = False
d.rail_offset = (-0.04999999701976776, -0.009999999776482582, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0)
d.post = False
d.handrail_radius = 0.029999999329447746
d.rail_n = 1
d.rail_mat.clear()
item_sub_1 = d.rail_mat.add()
item_sub_1.name = ''
item_sub_1.index = '0'
d.parts_expand = False
d.angle_limit = 0.39269909262657166
d.post_spacing = 1.5
d.handrail_expand = True
d.subs = False
d.handrail_slice_right = True
d.panel_alt = 0.0
d.user_defined_subs = ''
d.panel_dist = 0.009999999776482582
d.handrail_slice = True
d.panel = True
d.subs_spacing = 0.07000000774860382
d.panel_z = 1.0
d.handrail_profil = 'CIRCLE'
d.handrail_offset = 0.0
d.da = 1.5707963705062866
d.post_z = 1.0
d.rail_z = (0.3199999928474426, 0.07000000029802322, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806, 0.05000000074505806)
d.post_x = 0.03999999910593033
d.user_defined_post = ''
d.panel_offset_x = 0.0
d.post_alt = 0.0
| 49.4
| 663
| 0.768296
| 529
| 3,211
| 4.533081
| 0.139887
| 0.053378
| 0.443703
| 0.840701
| 0.521268
| 0.487907
| 0.487907
| 0.487907
| 0.487907
| 0.487907
| 0
| 0.553375
| 0.095609
| 3,211
| 64
| 664
| 50.171875
| 0.272383
| 0
| 0
| 0
| 0
| 0
| 0.007474
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.015873
| 0
| 0.015873
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
|
80ee39d94d970f65a65d831de302d6ac222b889f
| 127
|
py
|
Python
|
packages/impyrial/tests/test_utils.py
|
kwhjvdkamp/PythonTutotial
|
cbe52c83b0ff2b30f746977f698186dad055b1f4
|
[
"MIT"
] | null | null | null |
packages/impyrial/tests/test_utils.py
|
kwhjvdkamp/PythonTutotial
|
cbe52c83b0ff2b30f746977f698186dad055b1f4
|
[
"MIT"
] | 5
|
2021-07-12T16:34:28.000Z
|
2022-03-12T00:59:38.000Z
|
packages/impyrial/tests/test_utils.py
|
kwhjvdkamp/PythonTutotial
|
cbe52c83b0ff2b30f746977f698186dad055b1f4
|
[
"MIT"
] | null | null | null |
from impyrial.utils import (
check_units
)
def test_check_units():
assert check_units('oz', 'oz', ("oz", "lb", "st"))
| 18.142857
| 54
| 0.629921
| 18
| 127
| 4.222222
| 0.666667
| 0.394737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181102
| 127
| 6
| 55
| 21.166667
| 0.730769
| 0
| 0
| 0
| 0
| 0
| 0.07874
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| true
| 0
| 0.2
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
80efa43001fbca4e1aae0dd0c0658132ba3f0e89
| 142
|
py
|
Python
|
Python-ListComprehensionsConditionals.py
|
H2oPtic/Codecademy-Education
|
454ecff36a055fa17b4b338e1c6f1e9b3b94ef66
|
[
"MIT"
] | null | null | null |
Python-ListComprehensionsConditionals.py
|
H2oPtic/Codecademy-Education
|
454ecff36a055fa17b4b338e1c6f1e9b3b94ef66
|
[
"MIT"
] | null | null | null |
Python-ListComprehensionsConditionals.py
|
H2oPtic/Codecademy-Education
|
454ecff36a055fa17b4b338e1c6f1e9b3b94ef66
|
[
"MIT"
] | null | null | null |
heights = [161, 164, 156, 144, 158, 170, 163, 163, 157]
can_ride_coaster = [can for can in heights if can > 161]
print(can_ride_coaster)
| 28.4
| 57
| 0.683099
| 25
| 142
| 3.72
| 0.64
| 0.150538
| 0.301075
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.263158
| 0.197183
| 142
| 4
| 58
| 35.5
| 0.552632
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
03a67a69173aea483b3e0eed1c203745ca7fa7bf
| 153
|
py
|
Python
|
pm4pyws/handlers/xes/process_schema/__init__.py
|
ehbasouri/pm4py-ws
|
9bf5f88848a4aa2873bae86af95d37f64ae1dde1
|
[
"Apache-2.0"
] | null | null | null |
pm4pyws/handlers/xes/process_schema/__init__.py
|
ehbasouri/pm4py-ws
|
9bf5f88848a4aa2873bae86af95d37f64ae1dde1
|
[
"Apache-2.0"
] | null | null | null |
pm4pyws/handlers/xes/process_schema/__init__.py
|
ehbasouri/pm4py-ws
|
9bf5f88848a4aa2873bae86af95d37f64ae1dde1
|
[
"Apache-2.0"
] | null | null | null |
from pm4pyws.handlers.xes.process_schema import alpha_freq, alpha_performance, dfg_freq, dfg_perf, inductive_freq, \
inductive_perf, heuristics_freq
| 51
| 116
| 0.836601
| 21
| 153
| 5.714286
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007246
| 0.098039
| 153
| 2
| 117
| 76.5
| 0.862319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
03f341e939d4ce648c0ef6b7b467b59bb2d556dd
| 267
|
py
|
Python
|
src/main/admin.py
|
Mark-Soko/general_point_of_sale
|
d1cc82f4456fd987326b781f74f5aab14f0d007f
|
[
"MIT"
] | null | null | null |
src/main/admin.py
|
Mark-Soko/general_point_of_sale
|
d1cc82f4456fd987326b781f74f5aab14f0d007f
|
[
"MIT"
] | null | null | null |
src/main/admin.py
|
Mark-Soko/general_point_of_sale
|
d1cc82f4456fd987326b781f74f5aab14f0d007f
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import product,cash_sales,category,credited_customer,credits
admin.site.register(product)
admin.site.register(cash_sales)
admin.site.register(category)
admin.site.register(credited_customer)
admin.site.register(credits)
| 29.666667
| 73
| 0.850187
| 37
| 267
| 6.027027
| 0.405405
| 0.201794
| 0.381166
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052434
| 267
| 8
| 74
| 33.375
| 0.881423
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.285714
| 0
| 0.285714
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
206f6e0a4e38e732a8fc6f6317b5667c6dad4f19
| 79,454
|
py
|
Python
|
pyeccodes/defs/grib2/shortName_def.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | 7
|
2020-04-14T09:41:17.000Z
|
2021-08-06T09:38:19.000Z
|
pyeccodes/defs/grib2/shortName_def.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | null | null | null |
pyeccodes/defs/grib2/shortName_def.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | 3
|
2020-04-30T12:44:48.000Z
|
2020-12-15T08:40:26.000Z
|
import pyeccodes.accessors as _
def load(h):
def wrapped(h):
discipline = h.get_l('discipline')
parameterCategory = h.get_l('parameterCategory')
parameterNumber = h.get_l('parameterNumber')
typeOfStatisticalProcessing = h.get_l('typeOfStatisticalProcessing')
typeOfFirstFixedSurface = h.get_l('typeOfFirstFixedSurface')
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'tp'
typeOfSecondFixedSurface = h.get_l('typeOfSecondFixedSurface')
scaleFactorOfFirstFixedSurface = h.get_l('scaleFactorOfFirstFixedSurface')
scaleFactorOfSecondFixedSurface = h.get_l('scaleFactorOfSecondFixedSurface')
scaledValueOfFirstFixedSurface = h.get_l('scaledValueOfFirstFixedSurface')
scaledValueOfSecondFixedSurface = h.get_l('scaledValueOfSecondFixedSurface')
if discipline == 2 and parameterCategory == 0 and parameterNumber == 26 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaleFactorOfFirstFixedSurface == 0 and scaleFactorOfSecondFixedSurface == 1 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 2:
return 'wilt'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 12 and typeOfFirstFixedSurface == 106 and typeOfSecondFixedSurface == 106 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 2 and scaledValueOfFirstFixedSurface == 0 and scaleFactorOfSecondFixedSurface == 1:
return 'cap'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 1 and typeOfSecondFixedSurface == 8 and typeOfFirstFixedSurface == 1:
return 'tcc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 53 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'sf'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 60 and typeOfFirstFixedSurface == 1:
return 'sd'
is_tigge = h.get_l('is_tigge')
if discipline == 2 and parameterCategory == 0 and parameterNumber == 2 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 2 and scaleFactorOfSecondFixedSurface == 1 and scaleFactorOfFirstFixedSurface == 0 and is_tigge == 1:
return 'st'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 2:
return 'st'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 22 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 2 and scaleFactorOfSecondFixedSurface == 1 and is_tigge == 1:
return 'sm'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 22:
return 'sm'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 5 and typeOfFirstFixedSurface == 1:
return 'orog'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 7 and typeOfSecondFixedSurface == 8 and typeOfFirstFixedSurface == 1:
return 'cin'
probabilityType = h.get_l('probabilityType')
scaleFactorOfLowerLimit = h.get_l('scaleFactorOfLowerLimit')
scaledValueOfLowerLimit = h.get_l('scaledValueOfLowerLimit')
productDefinitionTemplateNumber = h.get_l('productDefinitionTemplateNumber')
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfLowerLimit == 20 and typeOfFirstFixedSurface == 103 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 2 and scaledValueOfFirstFixedSurface == 10:
return '10fgg20'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22 and typeOfFirstFixedSurface == 103 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 2 and scaledValueOfFirstFixedSurface == 10 and probabilityType == 3 and scaleFactorOfFirstFixedSurface == 0 and scaleFactorOfLowerLimit == 0 and scaledValueOfLowerLimit == 15:
return '10fgg15'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 19:
return 'wmixe'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 6:
return 'swrad'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 5:
return 'lwrad'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 3:
return 'grad'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 0:
return 'nswrs'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 12:
return 'dirsw'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 9:
return 'swper'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 8:
return 'swell'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 7:
return 'swdir'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 6:
return 'mpww'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 5:
return 'shww'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 16:
return 'snom'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 7:
return 'iced'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 6:
return 'iceg'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 5:
return 'vice'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 4:
return 'uice'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 3:
return 'siced'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 2:
return 'diced'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 1:
return 'icetk'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 10:
return 'den'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 3:
return 's'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 3:
return 'ssw'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 1:
return 'bli'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 1:
return 'mtha'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 0:
return 'mthd'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 2:
return 'tthdp'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 3:
return 'mld'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 10:
return 'acpcp'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 2:
return 'tstm'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 7:
return 'prate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 5:
return 'satd'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 3:
return 'pwat'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 3:
return 'vcurr'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 2:
return 'ucurr'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 16:
return 'vvcsh'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 15:
return 'vucsh'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 11:
return 'absd'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 10:
return 'absv'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 7:
return 'sgcvv'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 6:
return 'mntsf'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 2:
return 'wvsp3'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 1:
return 'wvsp2'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 0:
return 'wvsp1'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 9:
return 'gpa'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 8:
return 'presa'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 9:
return 'ta'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 0:
return 'pli'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 8:
return 'rdsp3'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 7:
return 'rdsp2'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 6:
return 'rdsp1'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 0:
return 'vis'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 8:
return 'lapr'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 6:
return 'dpt'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 5:
return 'tmin'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 4:
return 'tmax'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 7:
return 'hstdv'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 6:
return 'h'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 3:
return 'icaht'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 2:
return 'ptend'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 1:
return 'al'
if discipline == 10 and parameterCategory == 191 and parameterNumber == 0:
return 'tsec'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 1:
return 'dslm'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 8:
return 'ist'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 9:
return 'wz'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 1:
return 'spc'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 0:
return 'dirc'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 13:
return 'persw'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 11:
return 'perpw'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 10:
return 'dirpw'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 4:
return 'wvdir'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 13:
return 'atmdiv'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 12:
return 'rfl39'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 11:
return 'rfl16'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 10:
return 'rfl08'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 9:
return 'rfl06'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 8:
return 'raza'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 7:
return 'solza'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 6:
return 'npixu'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 5:
return 'estv'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 4:
return 'estu'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 3:
return 'ctophqi'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 2:
return 'ctoph'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 1:
return 'irrate'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 0:
return 'estp'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 17:
return 'satosm'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 16:
return 'vsosm'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 15:
return 'soilp'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 14:
return 'direc'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 13:
return 'voldec'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 12:
return 'transo'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 11:
return 'voltso'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 10:
return 'liqvsm'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 9:
return 'poros'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 8:
return 'smdry'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 7:
return 'smref'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 6:
return 'rlyrs'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 5:
return 'soill'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 4:
return 'botlst'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 3:
return 'lowlsm'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 2:
return 'uplsm'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 1:
return 'uplst'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 27:
return 'vwiltm'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 25:
return 'vsw'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 24:
return 'hflux'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 23:
return 'cisoilw'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 21:
return 'rcq'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 20:
return 'rcsol'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 19:
return 'rct'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 18:
return 'rcs'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 16:
return 'rsmin'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 15:
return 'ccond'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 14:
return 'bmixl'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 13:
return 'cnwat'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 12:
return 'sfexc'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 11:
return 'mstav'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 10:
return 'gflux'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 9:
return 'soilw'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 8:
return 'landu'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 7:
return 'mterh'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 6:
return 'evapt'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 5:
return 'watr'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 4:
return 'veg'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 0:
return 'land'
if discipline == 1 and parameterCategory == 1 and parameterNumber == 2:
return 'pop'
if discipline == 1 and parameterCategory == 1 and parameterNumber == 1:
return 'pposp'
if discipline == 1 and parameterCategory == 1 and parameterNumber == 0:
return 'cppop'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 6:
return 'ssrun'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 5:
return 'bgrun'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 4:
return 'swepon'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 3:
return 'esct'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 2:
return 'rssc'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 1:
return 'ffldro'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 0:
return 'ffldg'
if discipline == 0 and parameterCategory == 191 and parameterNumber == 0:
return 'tsec'
if discipline == 0 and parameterCategory == 190 and parameterNumber == 0:
return 'var190m0'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 23:
return '~'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 22:
return 'rcat'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 21:
return '~'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 20:
return '~'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 18:
return 'snfalb'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 17:
return 'mxsalb'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 16:
return 'contb'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 15:
return 'contt'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 14:
return 'contet'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 13:
return 'conti'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 12:
return 'pblreg'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 11:
return 'tke'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 10:
return 'turb'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 9:
return 'turbb'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 8:
return 'turbt'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 7:
return 'ici'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 6:
return 'icib'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 5:
return 'icit'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 4:
return 'volash'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 8:
return 'tiacrp'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 7:
return 'tiacip'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 6:
return 'tiaccp'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 5:
return 'gdradp'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 4:
return 'gdiod'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 3:
return 'gdces'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 2:
return 'acradp'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 1:
return 'aciod'
if discipline == 0 and parameterCategory == 18 and parameterNumber == 0:
return 'acces'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 5:
return 'prec'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 4:
return 'lmaxbr'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 3:
return 'veril'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 2:
return 'brvel'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 1:
return 'bref'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 0:
return 'bswid'
if discipline == 0 and parameterCategory == 14 and parameterNumber == 2:
return 'tcioz'
if discipline == 0 and parameterCategory == 14 and parameterNumber == 0:
return 'tozne'
if discipline == 0 and parameterCategory == 13 and parameterNumber == 0:
return 'aerot'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 11:
return '4lftx'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 10:
return 'lftx'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 9:
return 'ehlx'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 8:
return 'hlcy'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 5:
return 'sx'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 4:
return 'totalx'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 3:
return 'kox'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 2:
return 'kx'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 25:
return '~'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 24:
return 'suns'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 23:
return 'cdcimr'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 21:
return 'fice'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 20:
return 'tcolc'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 19:
return 'tcoli'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 18:
return 'tcolw'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 17:
return 'tcond'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 16:
return 'cuefi'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 15:
return 'cwork'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 14:
return 'cdlyr'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 13:
return 'ceil'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 12:
return 'cdct'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 11:
return 'cdcb'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 10:
return 'thunc'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 9:
return 'tmaxt'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 8:
return 'cdct'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 7:
return 'cdca'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 6:
return 'cwat'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 0:
return 'cice'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 6:
return 'nlwrcs'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 5:
return 'nlwrf'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 4:
return 'ulwrf'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 3:
return 'dlwrf'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 1:
return 'nlwrt'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 0:
return 'nlwrs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 51:
return 'uvi'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 50:
return 'uviucs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 12:
return 'dwuvr'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 11:
return 'nswrfcs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 10:
return 'photar'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 9:
return 'nswrf'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 8:
return 'uswrf'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 7:
return 'dswrf'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 1:
return 'nswrt'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 20:
return 'sdsgso'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 19:
return '5wava'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 18:
return 'hpbl'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 17:
return 'v-gwd'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 16:
return 'u-gwd'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 15:
return '5wavh'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 14:
return 'denalt'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 13:
return 'presalt'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 12:
return 'thick'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 11:
return 'alts'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 6:
return 'dist'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 1:
return 'prmsl'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 30:
return 'fricv'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 29:
return 'cd'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 28:
return 'vstm'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 27:
return 'ustm'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 26:
return 'mflx'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 25:
return 'vwsh'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 24:
return 'vgust'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 23:
return 'ugust'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22:
return 'gust'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 21:
return 'maxgust'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 18:
return 'vflx'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 17:
return 'uflx'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 68:
return 'iprate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 67:
return 'fprate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 66:
return 'sprate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 65:
return 'rprate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 64:
return 'tciwv'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 13:
return 'sdwe'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 59:
return 'lssrate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 58:
return 'csrate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 57:
return 'tsrate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 56:
return 'lssrwe'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 55:
return 'csrwe'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 54:
return 'lsprate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 53:
return 'tsrwe'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52:
return 'tprate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 51:
return 'tcwat'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 50:
return 'tsnowp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 49:
return 'twatp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 48:
return 'cwp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 47:
return 'lswp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 46:
return 'tcols'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 45:
return 'tcolr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 44:
return 'rime'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 43:
return 'frain'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 42:
return 'snowc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 41:
return 'pevpr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 40:
return 'pevap'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 39:
return 'cpofp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 38:
return 'mdiv'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 37:
return 'cprat'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 36:
return 'csnow'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 35:
return 'cicep'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 34:
return 'cfrzr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 33:
return 'crain'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 32:
return 'grle'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 31:
return 'hail'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 30:
return 'pwcat'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 29:
return 'asnow'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 28:
return 'maxah'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 27:
return 'maxrh'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 26:
return 'mconv'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 25:
return 'snmr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 24:
return 'rwmr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 23:
return 'icmr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 22:
return 'clwmr'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 21:
return 'tcond'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 20:
return 'iliqw'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 19:
return 'ptype'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 18:
return 'absh'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 17:
return 'snoag'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 15:
return 'snol'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 14:
return 'snoc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 12:
return 'srweq'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 9:
return 'ncpcp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 4:
return 'vapp'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 16:
return 'snohf'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 14:
return 'mindpd'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 13:
return 'wcf'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 12:
return 'heatx'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 11:
return 'shtfl'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 10:
return 'lhtfl'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 17 and typeOfFirstFixedSurface == 1:
return 'skt'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1 and scaledValueOfFirstFixedSurface == 10 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0:
return '10si'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 4:
return 'btmp'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 24 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'sund'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 5 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 8:
return 'ttr'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 5 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'str'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 9 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'ssr'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 1:
return 'sr'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 0 and typeOfFirstFixedSurface == 1:
return 'lsm'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 6 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2:
return '2d'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2:
return '2t'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 3 and scaledValueOfFirstFixedSurface == 10 and scaleFactorOfFirstFixedSurface == 0 and typeOfFirstFixedSurface == 103:
return '10v'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 2 and scaledValueOfFirstFixedSurface == 10 and scaleFactorOfFirstFixedSurface == 0 and typeOfFirstFixedSurface == 103:
return '10u'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 1:
return 'r'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 5:
return 'gh'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 13:
return 'd'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 0 and typeOfFirstFixedSurface == 101:
return 'msl'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 10 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'slhf'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 11 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'sshf'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 20:
return 'bld'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 12:
return 'vo'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 51 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8:
return 'tcw'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 8:
return 'w'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 0 and typeOfFirstFixedSurface == 1:
return 'sp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 0:
return 'q'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 3:
return 'v'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 2:
return 'u'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0:
return 't'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 4:
return 'z'
is_uerra = h.get_l('is_uerra')
indicatorOfUnitForTimeRange = h.get_l('indicatorOfUnitForTimeRange')
lengthOfTimeRange = h.get_l('lengthOfTimeRange')
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and is_uerra == 0 and typeOfStatisticalProcessing == 3 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2 and indicatorOfUnitForTimeRange == 1 and lengthOfTimeRange == 6:
return 'mn2t6'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and is_uerra == 0 and typeOfFirstFixedSurface == 103 and typeOfStatisticalProcessing == 2 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2 and indicatorOfUnitForTimeRange == 1 and lengthOfTimeRange == 6:
return 'mx2t6'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 14:
return 'pv'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 6 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8:
return 'cape'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 0:
return 'pres'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 2:
return 'pt'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 5:
return 'vp'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 4:
return 'strf'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and probabilityType == 3 and typeOfFirstFixedSurface == 1 and scaleFactorOfLowerLimit == 0 and productDefinitionTemplateNumber == 9 and scaledValueOfLowerLimit == 20 and typeOfStatisticalProcessing == 1:
return 'tpg20'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1 and productDefinitionTemplateNumber == 9 and scaleFactorOfLowerLimit == 0 and probabilityType == 3 and scaledValueOfLowerLimit == 10:
return 'tpg10'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 3 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 100:
return '100v'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 2 and scaledValueOfFirstFixedSurface == 100 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0:
return '100u'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 1 and typeOfFirstFixedSurface == 160 and typeOfSecondFixedSurface == 255 and scaledValueOfFirstFixedSurface == 0 and scaleFactorOfFirstFixedSurface == 0:
return 'sithick'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 34:
return 'sro'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 21 and typeOfSecondFixedSurface == 160 and typeOfFirstFixedSurface == 160 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 300 and scaleFactorOfSecondFixedSurface == 0 and scaleFactorOfFirstFixedSurface == 0:
return 'sav300'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 14 and typeOfSecondFixedSurface == 255 and typeOfFirstFixedSurface == 20 and scaleFactorOfFirstFixedSurface == 2 and scaledValueOfFirstFixedSurface == 29315:
return 't20d'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 1 and typeOfFirstFixedSurface == 160 and typeOfSecondFixedSurface == 255 and scaledValueOfFirstFixedSurface == 0 and scaleFactorOfFirstFixedSurface == 0:
return 'zos'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 3 and typeOfFirstFixedSurface == 160:
return 'ocv'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 2 and typeOfFirstFixedSurface == 160:
return 'ocu'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 15:
return 'mwp'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 34:
return 'pp1d'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 14:
return 'mwd'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 3:
return 'swh'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 28:
return 'mp2'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 0:
return 'wdir'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 3:
return 'papt'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 15:
return 'vptmp'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 1:
return 'vtmp'
if discipline == 20 and parameterCategory == 2 and parameterNumber == 0:
return 'pop_dens'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 9:
return 'mal_hab_frac'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 8:
return 'mal_vect_dens'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 7:
return 'mal_host_ratio'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 6:
return 'mal_infect_d10_ratio'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 5:
return 'mal_infect_ratio'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 4:
return 'mal_immun_ratio'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 3:
return 'mal_hbite_rate'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 2:
return 'mal_innoc_rate'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 1:
return 'mal_prot_ratio'
if discipline == 20 and parameterCategory == 1 and parameterNumber == 0:
return 'mal_cases_frac'
if discipline == 20 and parameterCategory == 0 and parameterNumber == 1:
return 'mrt'
if discipline == 20 and parameterCategory == 0 and parameterNumber == 0:
return 'utci'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 23:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 22:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 21:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 20:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 19:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 17:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 16:
return '~'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 11:
return 'fdsrte'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 10:
return 'fbupinx'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 9:
return 'infsinx'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 8:
return 'drtcode'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 7:
return 'dufmcode'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 6:
return 'ffmcode'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 5:
return 'fwinx'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 9:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 8:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 7:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 6:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 5:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 4:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 3:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 2:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 1:
return '~'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 0:
return '~'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 15:
return 'csbt'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 14:
return 'clbt'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 16 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 177:
return 'perc'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 8 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'adlwrf_cs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 53 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'auswrf_cs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 52 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'adswrf_cs'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 27:
return 'sod'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 16:
return 'percr'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 26:
return 'sohf'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 8:
return 'dlwrf_cs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 53:
return 'uswrf_cs'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 52:
return 'dswrf_cs'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 18:
return 'sot'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 28:
return 'mwt'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 29:
return 'cat'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 121:
return 'fscov'
is_efas = h.get_l('is_efas')
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and lengthOfTimeRange == 24 and indicatorOfUnitForTimeRange == 1 and is_efas == 1 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'tp24'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and is_efas == 1 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1 and lengthOfTimeRange == 6 and indicatorOfUnitForTimeRange == 1:
return 'tp06'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 79 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1 and lengthOfTimeRange == 24 and is_uerra == 0:
return 'eva24'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 79 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1 and lengthOfTimeRange == 6 and indicatorOfUnitForTimeRange == 1 and is_uerra == 0:
return 'eva06'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 13 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'tidirswrf'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 14:
return 'difswrf'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 13:
return 'dirswrf'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 0 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 10:
return '10wdir'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 79 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'eva'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 79:
return 'evarate'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 22:
return 'ccl'
if discipline == 2 and parameterCategory == 4 and parameterNumber == 2:
return 'hindex'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 21:
return 'aptmp'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 1 and typeOfFirstFixedSurface == 103 and scaledValueOfFirstFixedSurface == 2 and scaleFactorOfFirstFixedSurface == 0:
return '2r'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 9:
return 'gwls'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 8:
return 'gwus'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 25:
return 'sd_elev'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 7 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 0 and lengthOfTimeRange == 24:
return 'dis24'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 7 and typeOfStatisticalProcessing == 0 and lengthOfTimeRange == 6 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1:
return 'dis06'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 15:
return 'smups'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 14:
return 'tpups'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 13:
return 'woss'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 24:
return 'frost'
if discipline == 0 and parameterCategory == 191 and parameterNumber == 3:
return 'dslr'
if discipline == 1 and parameterCategory == 2 and parameterNumber == 2:
return 'fldfrc'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 12:
return 'fldsto'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 11:
return 'rivsto'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 7:
return 'dis'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 10:
return 'chside'
if discipline == 1 and parameterCategory == 2 and parameterNumber == 13:
return 'chcross'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 20 and typeOfStatisticalProcessing == 0:
return 'mtdch'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfStatisticalProcessing == 0:
return 'mtpf'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 30 and typeOfStatisticalProcessing == 0:
return 'mddr'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 29 and typeOfStatisticalProcessing == 0:
return 'mudr'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 28 and typeOfStatisticalProcessing == 0:
return 'mdmf'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 27 and typeOfStatisticalProcessing == 0:
return 'mumf'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 40 and typeOfStatisticalProcessing == 0:
return 'mvtpm'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 39 and typeOfStatisticalProcessing == 0:
return 'mutpm'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 108 and typeOfStatisticalProcessing == 0:
return 'mqtpm'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 26 and typeOfStatisticalProcessing == 0:
return 'mttpm'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 25 and typeOfStatisticalProcessing == 0:
return 'mttlwrcs'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 24 and typeOfStatisticalProcessing == 0:
return 'mttswrcs'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 23 and typeOfStatisticalProcessing == 0:
return 'mttlwr'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 22 and typeOfStatisticalProcessing == 0:
return 'mttswr'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1 and scaledValueOfFirstFixedSurface == 100 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0:
return '100si'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 200:
return '200si'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 3 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 200:
return '200v'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 2 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 200 and typeOfFirstFixedSurface == 103:
return '200u'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 33:
return 'ro'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 37 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'cp'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 2 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaleFactorOfSecondFixedSurface == 1 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 10:
return 'st100'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 2 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 2 and scaleFactorOfSecondFixedSurface == 1 and scaleFactorOfFirstFixedSurface == 0:
return 'st20'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 22 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaledValueOfSecondFixedSurface == 10 and scaleFactorOfSecondFixedSurface == 1 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 0:
return 'sm100'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 22 and typeOfSecondFixedSurface == 106 and typeOfFirstFixedSurface == 106 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 2 and scaleFactorOfSecondFixedSurface == 1:
return 'sm20'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 2 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 0 and typeOfSecondFixedSurface == 8 and lengthOfTimeRange == 6 and indicatorOfUnitForTimeRange == 1:
return 'licga6'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 2 and typeOfStatisticalProcessing == 0 and typeOfFirstFixedSurface == 1 and lengthOfTimeRange == 3 and typeOfSecondFixedSurface == 8 and indicatorOfUnitForTimeRange == 1:
return 'licga3'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 4 and typeOfStatisticalProcessing == 0 and lengthOfTimeRange == 6 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8:
return 'litota6'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 4 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8 and typeOfStatisticalProcessing == 0 and lengthOfTimeRange == 3 and indicatorOfUnitForTimeRange == 1:
return 'litota3'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 120:
return 'ucciwc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 119:
return 'ucclwc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 118:
return 'ucq'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 2 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8 and typeOfStatisticalProcessing == 0 and lengthOfTimeRange == 1 and indicatorOfUnitForTimeRange == 1:
return 'licga1'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 2 and typeOfSecondFixedSurface == 8 and typeOfFirstFixedSurface == 1:
return 'licgi'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 4 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8 and typeOfStatisticalProcessing == 0 and lengthOfTimeRange == 1:
return 'litota1'
if discipline == 0 and parameterCategory == 17 and parameterNumber == 4 and typeOfFirstFixedSurface == 1 and typeOfSecondFixedSurface == 8:
return 'litoti'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 27:
return 'hcct'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 93 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2:
return '2rhw'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 19 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 2 and typeOfSecondFixedSurface == 8 and lengthOfTimeRange == 6:
return 'mxcapes6'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 6 and typeOfStatisticalProcessing == 2 and typeOfSecondFixedSurface == 8 and lengthOfTimeRange == 6 and indicatorOfUnitForTimeRange == 1 and typeOfFirstFixedSurface == 1:
return 'mxcape6'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 37:
return 'fcpc'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 36:
return 'fspc'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 19:
return 'asn'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 94:
return 'rhi'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 93:
return 'rhw'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22 and is_uerra == 0 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 10 and typeOfStatisticalProcessing == 2 and indicatorOfUnitForTimeRange == 1 and lengthOfTimeRange == 3:
return '10fg3'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 6 and typeOfFirstFixedSurface == 20 and scaledValueOfFirstFixedSurface == 27315 and scaleFactorOfFirstFixedSurface == 2:
return 'deg0l'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 6 and typeOfFirstFixedSurface == 20 and scaledValueOfFirstFixedSurface == 26315 and scaleFactorOfFirstFixedSurface == 2:
return 'degm10l'
is_aerosol = h.get_l('is_aerosol')
aerosolType = h.get_l('aerosolType')
if discipline == 0 and parameterCategory == 20 and parameterNumber == 1 and is_aerosol == 1 and typeOfSecondFixedSurface == 8 and typeOfFirstFixedSurface == 1 and aerosolType == 62003:
return 'aermssam'
if discipline == 0 and parameterCategory == 20 and parameterNumber == 10 and is_aerosol == 1 and aerosolType == 62003:
return 'aerwdcam'
if discipline == 0 and parameterCategory == 20 and parameterNumber == 9 and aerosolType == 62003 and is_aerosol == 1:
return 'aerwdlam'
if discipline == 0 and parameterCategory == 20 and parameterNumber == 11 and aerosolType == 62003 and is_aerosol == 1:
return 'aersdmam'
if discipline == 0 and parameterCategory == 20 and parameterNumber == 6 and aerosolType == 62003 and is_aerosol == 1:
return 'aerddpam'
typeOfWavelengthInterval = h.get_l('typeOfWavelengthInterval')
scaleFactorOfFirstWavelength = h.get_l('scaleFactorOfFirstWavelength')
scaledValueOfFirstWavelength = h.get_l('scaledValueOfFirstWavelength')
typeOfSizeInterval = h.get_l('typeOfSizeInterval')
is_aerosol_optical = h.get_l('is_aerosol_optical')
if discipline == 0 and parameterCategory == 20 and parameterNumber == 102 and typeOfWavelengthInterval == 11 and scaleFactorOfFirstWavelength == 8 and scaledValueOfFirstWavelength == 55 and typeOfSizeInterval == 255 and aerosolType == 62003 and is_aerosol_optical == 1:
return 'amaod550'
if discipline == 0 and parameterCategory == 20 and parameterNumber == 102 and is_aerosol_optical == 1 and typeOfWavelengthInterval == 11 and scaleFactorOfFirstWavelength == 8 and scaledValueOfFirstWavelength == 55 and typeOfSizeInterval == 255 and aerosolType == 62004:
return 'niaod550'
if discipline == 0 and parameterCategory == 20 and parameterNumber == 2 and aerosolType == 62003 and is_aerosol == 1:
return 'aermr18'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 14 and typeOfSecondFixedSurface == 255 and scaledValueOfFirstFixedSurface == 1 and scaleFactorOfFirstFixedSurface == 2 and typeOfFirstFixedSurface == 169:
return 'mlotst010'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 3 and typeOfFirstFixedSurface == 160 and typeOfSecondFixedSurface == 255 and scaledValueOfFirstFixedSurface == 0 and scaleFactorOfFirstFixedSurface == 0:
return 'sos'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 15 and typeOfFirstFixedSurface == 160 and typeOfSecondFixedSurface == 160 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 300 and scaleFactorOfSecondFixedSurface == 0:
return 'mswt300m'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 18 and typeOfFirstFixedSurface == 160 and typeOfSecondFixedSurface == 160 and scaledValueOfFirstFixedSurface == 0 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfSecondFixedSurface == 300 and scaleFactorOfSecondFixedSurface == 0:
return 'mswpt300m'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and typeOfStatisticalProcessing == 10 and scaledValueOfLowerLimit == -2 and probabilityType == 0 and scaleFactorOfLowerLimit == 0 and productDefinitionTemplateNumber == 9:
return 'ptsa_lt_2stdev'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and probabilityType == 0 and scaleFactorOfLowerLimit == 1 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 10 and scaledValueOfLowerLimit == -15:
return 'ptsa_lt_1p5stdev'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and scaleFactorOfLowerLimit == 0 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 10 and scaledValueOfLowerLimit == -1 and probabilityType == 0:
return 'ptsa_lt_1stdev'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 10 and scaledValueOfLowerLimit == 2 and probabilityType == 3 and scaleFactorOfLowerLimit == 0:
return 'ptsa_gt_2stdev'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and typeOfStatisticalProcessing == 10 and scaledValueOfLowerLimit == 15 and probabilityType == 3 and scaleFactorOfLowerLimit == 1 and productDefinitionTemplateNumber == 9:
return 'ptsa_gt_1p5stdev'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and scaleFactorOfLowerLimit == 0 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 10 and scaledValueOfLowerLimit == 1 and probabilityType == 3:
return 'ptsa_gt_1stdev'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22 and typeOfFirstFixedSurface == 103 and scaleFactorOfLowerLimit == 0 and scaledValueOfFirstFixedSurface == 10 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 2 and scaledValueOfLowerLimit == 10 and probabilityType == 3 and scaleFactorOfFirstFixedSurface == 0:
return '10fgg10'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and typeOfFirstFixedSurface == 1 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 50:
return 'tpg50'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 25 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and typeOfFirstFixedSurface == 1:
return 'tpg25'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 5:
return 'hcc'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 4:
return 'mcc'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 3:
return 'lcc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 11:
return 'sde'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 54 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'lsp'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 32:
return 'cc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 84:
return 'ciwc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 83:
return 'clwc'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 6 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'strc'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 11 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'ssrc'
if discipline == 0 and parameterCategory == 14 and parameterNumber == 1:
return 'o3'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and typeOfStatisticalProcessing == 3 and is_uerra == 1 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2:
return 'mn2t'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 2 and typeOfStatisticalProcessing == 2 and is_uerra == 1:
return 'mx2t'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 37:
return 'nsss'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 38:
return 'ewss'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 3 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1:
return 'strd'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 7 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1:
return 'ssrd'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 32:
return 'etadot'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 86:
return 'cswc'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 85:
return 'crwc'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22 and scaleFactorOfFirstFixedSurface == 0 and scaledValueOfFirstFixedSurface == 10 and typeOfStatisticalProcessing == 2 and is_uerra == 1 and typeOfFirstFixedSurface == 103:
return '10fg'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 0:
return 'slt'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 0 and typeOfFirstFixedSurface == 1:
return 'sst'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 61:
return 'rsn'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 0:
return 'ci'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 45:
return 'ucdv'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 31:
return 'ucln'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 28:
return 'uctp'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1 and scaledValueOfFirstFixedSurface == 200 and is_uerra == 1 and typeOfFirstFixedSurface == 103 and scaleFactorOfFirstFixedSurface == 0:
return 'ws'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1 and is_uerra == 1 and scaledValueOfFirstFixedSurface == 100 and scaleFactorOfFirstFixedSurface == 0 and typeOfFirstFixedSurface == 103:
return 'ws'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1:
return 'ws'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfFirstFixedSurface == 1 and scaledValueOfLowerLimit == 3 and scaleFactorOfLowerLimit == -2 and probabilityType == 3 and typeOfStatisticalProcessing == 1 and productDefinitionTemplateNumber == 9:
return 'tpg300'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and scaledValueOfLowerLimit == 200 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and typeOfFirstFixedSurface == 1 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 1:
return 'tpg200'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and scaledValueOfLowerLimit == 150 and typeOfFirstFixedSurface == 1 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 1:
return 'tpg150'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 100 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and typeOfFirstFixedSurface == 1 and productDefinitionTemplateNumber == 9:
return 'tpg100'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 80 and typeOfFirstFixedSurface == 1 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and productDefinitionTemplateNumber == 9:
return 'tpg80'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 60 and probabilityType == 3 and scaleFactorOfLowerLimit == 0 and typeOfFirstFixedSurface == 1 and productDefinitionTemplateNumber == 9:
return 'tpg60'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 1 and typeOfFirstFixedSurface == 1 and scaledValueOfLowerLimit == 40 and probabilityType == 3 and scaleFactorOfLowerLimit == 0:
return 'tpg40'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and productDefinitionTemplateNumber == 9 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 5 and probabilityType == 3 and typeOfFirstFixedSurface == 1 and scaleFactorOfLowerLimit == 0:
return 'tpg5'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52 and productDefinitionTemplateNumber == 9 and typeOfFirstFixedSurface == 1 and typeOfStatisticalProcessing == 1 and scaledValueOfLowerLimit == 1 and probabilityType == 3 and scaleFactorOfLowerLimit == 0:
return 'tpg1'
return wrapped
| 46.033604
| 366
| 0.646638
| 7,814
| 79,454
| 6.561812
| 0.085999
| 0.045637
| 0.094824
| 0.116706
| 0.862172
| 0.844444
| 0.833424
| 0.758669
| 0.360924
| 0.241389
| 0
| 0.052085
| 0.275317
| 79,454
| 1,725
| 367
| 46.06029
| 0.838413
| 0
| 0
| 0.03125
| 0
| 0
| 0.04035
| 0.004783
| 0
| 0
| 0
| 0
| 0
| 1
| 0.001736
| false
| 0
| 0.000868
| 0
| 0.490451
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 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
|
20c6651e5b4f697b8adc848ae262c7daab9bba9c
| 98
|
py
|
Python
|
examples/pip_repository_annotations/data/copy_executable.py
|
axivion/rules_python
|
7740b22d0bae942af0797967f2617daa19834cb3
|
[
"Apache-2.0"
] | null | null | null |
examples/pip_repository_annotations/data/copy_executable.py
|
axivion/rules_python
|
7740b22d0bae942af0797967f2617daa19834cb3
|
[
"Apache-2.0"
] | null | null | null |
examples/pip_repository_annotations/data/copy_executable.py
|
axivion/rules_python
|
7740b22d0bae942af0797967f2617daa19834cb3
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
if __name__ == "__main__":
print("Hello world from copied executable")
| 19.6
| 47
| 0.693878
| 13
| 98
| 4.615385
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163265
| 98
| 4
| 48
| 24.5
| 0.731707
| 0.204082
| 0
| 0
| 0
| 0
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
20d7906923473fa8b38c8305dc2dd38fbb93cd8d
| 97
|
py
|
Python
|
clip.py
|
catskillsresearch/openasr20
|
b9821c4ee6a51501e81103c1d6d4db0ea8aaa31e
|
[
"Apache-2.0"
] | null | null | null |
clip.py
|
catskillsresearch/openasr20
|
b9821c4ee6a51501e81103c1d6d4db0ea8aaa31e
|
[
"Apache-2.0"
] | null | null | null |
clip.py
|
catskillsresearch/openasr20
|
b9821c4ee6a51501e81103c1d6d4db0ea8aaa31e
|
[
"Apache-2.0"
] | 1
|
2021-07-28T02:13:21.000Z
|
2021-07-28T02:13:21.000Z
|
from normalize import normalize
def clip(y,level=0.1):
y[y<level]=0
return normalize(y)
| 16.166667
| 31
| 0.690722
| 17
| 97
| 3.941176
| 0.588235
| 0.179104
| 0.208955
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037975
| 0.185567
| 97
| 5
| 32
| 19.4
| 0.810127
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
20edce6c0a70107a1e05deb3a24f8afee5b5ff3c
| 66
|
py
|
Python
|
clickup_to_jira/handlers/__init__.py
|
anmarkoulis/clickup-to-jira
|
2ba6dde69d8a4d32957d3546772e839ccb530ee7
|
[
"MIT"
] | 2
|
2021-01-13T14:58:17.000Z
|
2022-01-10T09:31:36.000Z
|
clickup_to_jira/handlers/__init__.py
|
anmarkoulis/clickup-to-jira
|
2ba6dde69d8a4d32957d3546772e839ccb530ee7
|
[
"MIT"
] | 36
|
2020-11-13T14:10:43.000Z
|
2022-03-01T01:14:11.000Z
|
clickup_to_jira/handlers/__init__.py
|
anmarkoulis/clickup-to-jira
|
2ba6dde69d8a4d32957d3546772e839ccb530ee7
|
[
"MIT"
] | null | null | null |
from .clickup import ClickUpHandler
from .jira import JIRAHandler
| 22
| 35
| 0.848485
| 8
| 66
| 7
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 66
| 2
| 36
| 33
| 0.965517
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
454c44a5e1cf3ef0f385f5d75586af89904f71e2
| 123
|
py
|
Python
|
individual1.py
|
dibovdmitry/laba2.13
|
083de5475b7fa66eb601db047496c8a97efdb6f9
|
[
"MIT"
] | null | null | null |
individual1.py
|
dibovdmitry/laba2.13
|
083de5475b7fa66eb601db047496c8a97efdb6f9
|
[
"MIT"
] | null | null | null |
individual1.py
|
dibovdmitry/laba2.13
|
083de5475b7fa66eb601db047496c8a97efdb6f9
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import module_individual1
if __name__ == '__main__':
print(string())
| 13.666667
| 26
| 0.642276
| 15
| 123
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029412
| 0.170732
| 123
| 8
| 27
| 15.375
| 0.656863
| 0.349594
| 0
| 0
| 0
| 0
| 0.102564
| 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
|
458d78312fbc6b08921a9ad361c4035eaff42960
| 25
|
py
|
Python
|
src/render.py
|
komiamiko/fc-ezalia
|
29d233cfa817af8c99eb9922931aa3294c5decf7
|
[
"MIT"
] | 1
|
2020-09-05T19:05:43.000Z
|
2020-09-05T19:05:43.000Z
|
src/render.py
|
komiamiko/fc-ezalia
|
29d233cfa817af8c99eb9922931aa3294c5decf7
|
[
"MIT"
] | null | null | null |
src/render.py
|
komiamiko/fc-ezalia
|
29d233cfa817af8c99eb9922931aa3294c5decf7
|
[
"MIT"
] | null | null | null |
"""
Rendering stage
"""
| 8.333333
| 16
| 0.56
| 2
| 25
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 25
| 3
| 17
| 8.333333
| 0.7
| 0.6
| 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
|
4596039623e71fd620eb92938ca20a3f7496e3b2
| 1,343
|
py
|
Python
|
lastpass/vault.py
|
HyShai/lastpass-pythonista
|
8f7c88e931d44c1ca62db23d1531e166821a8edd
|
[
"MIT"
] | 8
|
2015-03-28T09:12:40.000Z
|
2021-12-26T18:35:50.000Z
|
lastpass/vault.py
|
HyShai/lastpass-pythonista
|
8f7c88e931d44c1ca62db23d1531e166821a8edd
|
[
"MIT"
] | null | null | null |
lastpass/vault.py
|
HyShai/lastpass-pythonista
|
8f7c88e931d44c1ca62db23d1531e166821a8edd
|
[
"MIT"
] | null | null | null |
# coding: utf-8
from .fetcher import Fetcher
from .parser import Parser
class Vault(object):
# Fetches a blob from the server and creates a vault
@classmethod
def open_remote(cls, username, password, multifactor_password=None, trusted_device=None):
return cls.open(cls.fetch_blob(username, password, multifactor_password, trusted_device), username, password)
# Creates a vault from a locally stored blob
@classmethod
def open_local(cls, blob_filename, username, password):
import pickle
blob = pickle.load(open(blob_filename, "rb"))
return cls.open(blob, username, password)
# Creates a vault from a blob object
@classmethod
def open(cls, blob, username, password):
return cls(blob, blob.encryption_key(username, password))
# Just fetches the blob, could be used to store it locally
@classmethod
def fetch_blob(cls, username, password, multifactor_password=None, trusted_device=None):
return Fetcher.fetch(Fetcher.login(username, password, multifactor_password, trusted_device))
# This more of an internal method, use one of the static constructors instead
def __init__(self, blob, encryption_key):
chunks = Parser.extract_chunks(blob)
self.accounts = [Parser.parse_account(i, encryption_key) for i in chunks['ACCT']]
| 41.96875
| 117
| 0.724497
| 177
| 1,343
| 5.367232
| 0.389831
| 0.151579
| 0.113684
| 0.147368
| 0.309474
| 0.309474
| 0.208421
| 0.136842
| 0.136842
| 0.136842
| 0
| 0.000923
| 0.192852
| 1,343
| 32
| 118
| 41.96875
| 0.875461
| 0.204765
| 0
| 0.2
| 0
| 0
| 0.00565
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.4
| 0.15
| 0.15
| 0.65
| 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
|
45a2526abb68c4d010ddbebc3a7e543cbc48f80f
| 8,758
|
py
|
Python
|
HW8/EX2/fairpy/items/min_sharing_impl/TestScript.py
|
ShmuelLa/research-algorithms
|
43cab0e9c13ce9ddb9646f7539f1a865e86f9841
|
[
"MIT"
] | null | null | null |
HW8/EX2/fairpy/items/min_sharing_impl/TestScript.py
|
ShmuelLa/research-algorithms
|
43cab0e9c13ce9ddb9646f7539f1a865e86f9841
|
[
"MIT"
] | null | null | null |
HW8/EX2/fairpy/items/min_sharing_impl/TestScript.py
|
ShmuelLa/research-algorithms
|
43cab0e9c13ce9ddb9646f7539f1a865e86f9841
|
[
"MIT"
] | null | null | null |
#!python3
"""
Some tests for the min-sharing algorithm.
Programmer: Eliyahu Sattat
Since: 2020
"""
import numpy as np
import datetime
from fairpy.items.min_sharing_impl.ConsumptionGraph import ConsumptionGraph
from fairpy.items.min_sharing_impl.FairEnvyFreeAllocationProblem import FairEnvyFreeAllocationProblem
from fairpy.items.min_sharing_impl.FairProportionalAllocationProblem import FairProportionalAllocationProblem
from fairpy.items.min_sharing_impl.GraphGenerator import GraphGenerator
def is_envy_free(v,z):
for i in range(len(v)):
agent_sum = 0
for j in range(len(v[0])):
agent_sum += z[i][j] * v[i][j]
anther_agent_sum = 0
for j in range(len(v)):
anther_agent_sum = 0
for k in range(len(v[0])):
anther_agent_sum += z[j][k] * v[i][k]
if(agent_sum < anther_agent_sum):
print("the agent {}".format(i))
print("the anther_agent {}".format(j))
#return False
return True
if __name__ == '__main__':
num_of_agents = 4
num_of_items = 10
max_item_value = 100
v = np.random.randint(max_item_value, size=(num_of_agents, num_of_items)).tolist()
v = [[150., 150. ,150. ,150., 150. ,250.],
[150., 150. ,150. ,150., 150. ,250.],
[150., 150. ,150. ,150., 150. ,250.]]
fpap = FairEnvyFreeAllocationProblem(v)
fpap1 = FairProportionalAllocationProblem(v)
print(v)
start = datetime.datetime.now()
# THE TEST EXECUTION
ans = fpap.find_allocation_with_min_sharing()
#ans = fpap1.find_allocation_with_min_sharing()
print(ans)
print(is_envy_free(v, ans))
end = datetime.datetime.now()
# print("the number of graph: {}".format(count))
print("Total time for {} agents and {} items :{}".format(num_of_agents, num_of_items, end - start))
"""
/////////////////////////////////bug inputs////////////////////////////
v = [[300. ,300. ,400.],
[307. ,308. ,385.],
[312., 313. ,375.]]
v = [[555., 444., 1.],
[589., 410., 1.],
[610., 389., 1.]]
v = [[166. ,166. ,166. ,166. ,166. ,170.], his 333.328
[166. ,166. ,166. ,166. ,166. ,170.], his 333.162
[166. ,166. ,166. ,166. ,166. ,170.]] his 333.008
ans: (prop and envy)
[[1. 1. 0.008 0. 0. 0. ]
[0. 0. 0. 0.497 1. 0.498]
[0. 0. 0.991 0.502 0. 0.501]]
after some fix:
v = [[166., 166., 166., 166., 166., 170.],333.328
[166., 166., 166., 166., 166., 170.],333.328
[166., 166., 166., 166., 166., 170.]]333.178
v = [[242. ,322. ,157. ,188. ,91. , 0.],
[257. ,330. ,137.,186. ,90. , 0.],
[265., 339. ,136., 185. , 75. , 0.]]
v = [[300., 300.,400.],
[307. ,308. ,385.],
[312. ,313., 375.]]
v = [[413., 587.],
[427. ,573.],
[397., 603.]]
v =[[397. ,603.],
[484. ,516.],
[374., 626.]]
v = [[416., 584.],
[422., 578.],
[349. ,651.]]
v = [[150., 150. ,150. ,150., 150. ,250.],
[150., 150. ,150. ,150., 150. ,250.],
[150., 150. ,150. ,150., 150. ,250.]]
prop ans:
[[1. 1. 0.222 0. 0. 0. ]
[0. 0. 0. 0.444 0.999 0.466]
[0. 0. 0.777 0.555 0. 0.533]]
v = [[340. ,230. ,220., 210.],
[270. ,260. ,240. ,230.],
[400. ,200., 200. ,200.]]
/////////////////////////////////end bug inputs////////////////////////////
[[37, 32, 70, 12],
[33, 0, 55, 85],
[32, 83, 35, 35],
[13, 16, 39, 90]]
[[0. 0. 1. 0. ]
[1. 0. 0. 0.358]
[0. 1. 0. 0. ]
[0. 0. 0. 0.641]]
Total time for 4 agents and 4 items :0:00:01.979707
[[59, 36, 62, 29, 57]
, [95, 81, 66, 54, 66]
, [20, 33, 81, 73, 26]
, [25, 15, 95, 86, 11]]
[[0.319 0. 0. 0. 1. ]
[0.296 1. 0. 0. 0. ]
[0. 0. 0.999 0. 0. ]
[0.383 0. 0. 1. 0. ]]
Total time for 4 agents and 5 items :0:00:03.255364
[[34, 36, 77, 3, 98, 30],
[19, 29, 52, 7, 68, 24],
[46, 84, 28, 78, 48, 85],
[34, 1, 55, 20, 59, 58]]
[[0. 0. 1. 0. 0.109 0. ]
[0. 0. 0. 0. 0.89 0. ]
[0. 1. 0. 1. 0. 0. ]
[1. 0. 0. 0. 0. 1. ]]
Total time for 4 agents and 6 items :0:00:01.182875
[[41, 33, 90, 92, 71, 87, 91],
[65, 30, 75, 56, 46, 14, 95],
[66, 15, 15, 32, 89, 47, 9],
[96, 46, 64, 75, 20, 51, 16]]
[[0. 0. 0.743 1. 0. 0. 0. ]
[0. 0. 0.256 0. 0. 0. 1. ]
[0. 0. 0. 0. 0.999 0.999 0. ]
[1. 1. 0. 0. 0. 0. 0. ]]
Total time for 4 agents and 7 items :0:00:01.977783
[[42, 32, 76, 81, 67, 46, 94, 0, 14, 71],
[38, 2, 10, 4, 52, 62, 53, 1, 19, 99],
[35, 29, 99, 21, 84, 56, 37, 29, 61, 56],
[42, 25, 29, 88, 14, 47, 44, 86, 24, 39]]
[[0. 0. 0. 1. 0. 0. 1. 0. 0. 0. ]
[0. 0. 0. 0. 0. 0.999 0. 0. 0. 0.999]
[0. 0. 0.999 0. 1. 0. 0. 0. 0. 0. ]
[0.999 1. 0. 0. 0. 0. 0. 0.999 0.999 0. ]]
Total time for 4 agents and 10 items :0:00:37.752878
v = [[1,2,3,4],[4,5,6,5],[6,7,9,8]]
[[0. 0. 0. 0.999]
[0.623 0.999 0. 0. ]
[0.376 0. 0.999 0. ]]
Total time for 3 agents and 4 items :0:00:00.188497
[[0.999 0. 1. 0. 1. 0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. 1. 0. 1. 0. 0. ]
[0. 0. 0. 0. 0. 0. 1. 0. 1. 1. ]
[0. 1. 0. 1. 0. 0. 0. 0. 0. 0. ]]
Total time for 4 agents and 10 items :0:21:33.373481
a = ConsumptionGraph([[0. , 0. ,0. , 1. , 0. , 0. , 0. , 0.999 ,0. ,0. ],
[0. , 0. , 0. , 0. , 0.999 ,0. , 0. , 0. , 0. , 0.999],
[0. , 0.999 ,1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],
[1. , 0. , 0. , 0. , 0. ,1. , 1. , 0. , 0.999 ,0. ]])
print(a.is_prop([[17, 52, 45, 61, 41, 38, 41, 66, 57, 45], [36, 28, 34, 50, 67, 39, 38, 45, 94, 94], [35, 85, 74, 92, 0, 46, 48, 2, 78, 49], [54, 11, 66, 51, 39, 79, 86, 99, 88, 23]]))
[[9, 23, 19, 62, 66, 75, 44, 28, 56, 27, 61, 56, 69, 91, 8, 40, 96, 22, 70, 15], [98, 68, 87, 60, 32, 20, 30, 9, 64, 0, 62, 20, 97, 22, 64, 64, 87, 28, 26, 31], [19, 47, 51, 12, 17, 90, 21, 49, 69, 16, 64, 49, 70, 0, 73, 25, 49, 96, 34, 55], [12, 14, 83, 53, 47, 27, 51, 6, 39, 8, 80, 91, 66, 72, 71, 10, 58, 26, 94, 19]]
[[0. 0. 0. 0. 0.999 0. 0. 0. 0. 0. 0. 0.
0. 1. 0. 0. 0.999 0. 0. 0. ]
[0.999 1. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0.999 0. 0. 0. 0. ]
[0. 0. 0. 0. 0. 1. 0. 1. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0.999 0. 0. ]
[0. 0. 0.999 0. 0. 0. 0.999 0. 1. 1. 1. 0.999
1. 0. 1. 0. 0. 0. 1. 1. ]]
Total time for 4 agents and 20 items :0:08:13.528924
envy-free
[[0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 1.
1. 0. 0. ]
[0. 0. 0. 0. 0. 1. 0. 0. 0. 0.999 0. 0.
0. 0.999 0. ]
[0.999 0. 0. 0. 0.999 0. 0.999 0. 0. 0. 0.999 0.
0. 0. 0. ]
[0. 0.999 0.999 0. 0. 0. 0. 0.999 0.999 0. 0. 0.
0. 0. 0.999]]
Total time for 4 agents and 15 items :0:04:42.596165
[[0. 0. 0. 0.999 0. 0. 0. 0. 0. 0. 0.999 0.
0.999 0. 0. 0. 0. 0. 0.999 0. ]
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.999 0. 0.
0. 0. 0. 0. 0.999 0.999 0. 0.999]
[1. 1. 1. 0. 0. 0. 1. 0. 1. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. ]
[0. 0. 0. 0. 1. 1. 0. 1. 0. 0. 0. 1.
0. 1. 1. 1. 0. 0. 0. 0. ]]
Total time for 4 agents and 20 items :0:40:02.282783
# v = [[333. ,333. ,334.],
# [333. ,334. ,333.]]
v = [[300. ,300., 400.],
[307. ,308., 385.],
[312. ,313. ,375.]]
"""
| 29.096346
| 321
| 0.383421
| 1,369
| 8,758
| 2.411249
| 0.200877
| 0.176916
| 0.194487
| 0.184187
| 0.45047
| 0.415329
| 0.332929
| 0.307786
| 0.273251
| 0.233869
| 0
| 0.356698
| 0.413565
| 8,758
| 301
| 322
| 29.096346
| 0.28602
| 0.024549
| 0
| 0.054054
| 0
| 0
| 0.049061
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.027027
| false
| 0
| 0.162162
| 0
| 0.216216
| 0.162162
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
|
45a36e076f377c31ffb9b77ec4ab374f268aaca2
| 1,416
|
py
|
Python
|
run.py
|
FajarTheGGman/Take-All-Repo
|
1e6793ade954492fe6aedf4506e20f4dca4f4fd5
|
[
"BSD-2-Clause"
] | 3
|
2019-08-09T22:17:47.000Z
|
2020-04-06T04:35:22.000Z
|
run.py
|
FajarTheGGman/Take-All-Repo
|
1e6793ade954492fe6aedf4506e20f4dca4f4fd5
|
[
"BSD-2-Clause"
] | null | null | null |
run.py
|
FajarTheGGman/Take-All-Repo
|
1e6793ade954492fe6aedf4506e20f4dca4f4fd5
|
[
"BSD-2-Clause"
] | 1
|
2020-04-06T04:35:22.000Z
|
2020-04-06T04:35:22.000Z
|
#Copyright© 2019 By Fajar Firdaus
#Please don't Recode My Program Because i take a long time to complete this project :)
import urllib3 as url
import json as js
import os
import os.path
import time
import os.path
class Get:
def banner():
print(" .---. ")
print(" |---| ")
print(" |---| ")
print(" |---| ")
print(" .---^ - ^---. ")
print(" :___________: ")
print(" | |//| ")
print(" | |//| ")
print(" | |//| ")
print(" | |//| [Take All Repo] ")
print(" | |//| [By]")
print(" | |//| [Fajar Firdaus] ")
print(" | |.-| ")
print(" |.-'**| ")
print(" \***/ ")
print(" \*/ ")
print(" V ")
def page():
account = str(input("[?] Input Account Name >_ "))
user = str(input("[?] Input Page >_ "))
agent = {'user-agent': 'Mozilla/5.0 (Windows NT 6.3; rv:36.0) Gecko/20100101 Firefox/36.0'}
u = url.PoolManager(headers=agent)
data = u.request("GET", "https://api.github.com/users/" + account + "/repos?page=" + user)
result = js.loads(data.data)
for loop in range(30):
os.system("git clone " + result[loop]['clone_url'])
run = Get.banner()
run = Get.page()
| 30.782609
| 100
| 0.429379
| 141
| 1,416
| 4.219858
| 0.560284
| 0.218487
| 0.277311
| 0.302521
| 0.12605
| 0.084034
| 0.084034
| 0.084034
| 0.084034
| 0
| 0
| 0.028441
| 0.379237
| 1,416
| 46
| 101
| 30.782609
| 0.647327
| 0.082627
| 0
| 0.222222
| 0
| 0.027778
| 0.347965
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055556
| false
| 0
| 0.166667
| 0
| 0.25
| 0.472222
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
45b70e8f2904e1c850dc4fa8e4743d1237c46442
| 69
|
py
|
Python
|
repocribro_badges/__init__.py
|
MarekSuchanek/repocribro-badges
|
6564bcb47a2e877c1755ed44ead1cacfa0c89608
|
[
"MIT"
] | null | null | null |
repocribro_badges/__init__.py
|
MarekSuchanek/repocribro-badges
|
6564bcb47a2e877c1755ed44ead1cacfa0c89608
|
[
"MIT"
] | 1
|
2018-11-29T18:10:01.000Z
|
2018-11-29T18:10:01.000Z
|
repocribro_badges/__init__.py
|
MarekSuchanek/repocribro-badges
|
6564bcb47a2e877c1755ed44ead1cacfa0c89608
|
[
"MIT"
] | null | null | null |
from .ext_badges import make_extension
__all__ = ['make_extension']
| 17.25
| 38
| 0.797101
| 9
| 69
| 5.333333
| 0.777778
| 0.541667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 69
| 3
| 39
| 23
| 0.786885
| 0
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| 0
| 0.202899
| 0
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| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
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| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
45dc112aaf8db3fe4f5b0a7eea8bac84d93f3a89
| 196
|
py
|
Python
|
Clase 8/test/test_restar.py
|
FreddyGJ/Portafolio-de-prog-3
|
ea16b7f8951d02b62291b8e7b73833f25b56578e
|
[
"MIT"
] | null | null | null |
Clase 8/test/test_restar.py
|
FreddyGJ/Portafolio-de-prog-3
|
ea16b7f8951d02b62291b8e7b73833f25b56578e
|
[
"MIT"
] | null | null | null |
Clase 8/test/test_restar.py
|
FreddyGJ/Portafolio-de-prog-3
|
ea16b7f8951d02b62291b8e7b73833f25b56578e
|
[
"MIT"
] | null | null | null |
from unittest import TestCase
from app import matematica
class TestRestar(TestCase):
def test_restar(self):
resultado = matematica.restar(2, 1)
self.assertEqual(resultado, 1)
| 24.5
| 43
| 0.72449
| 24
| 196
| 5.875
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019108
| 0.19898
| 196
| 7
| 44
| 28
| 0.878981
| 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
|
afd6bb6434d01c65e1a92b10cdf850640fc42743
| 92
|
py
|
Python
|
apartment/enums.py
|
frwickst/apartment-application-service
|
40387327a0f82ba01bfcb6ab8532ea4aec40d37a
|
[
"MIT"
] | null | null | null |
apartment/enums.py
|
frwickst/apartment-application-service
|
40387327a0f82ba01bfcb6ab8532ea4aec40d37a
|
[
"MIT"
] | null | null | null |
apartment/enums.py
|
frwickst/apartment-application-service
|
40387327a0f82ba01bfcb6ab8532ea4aec40d37a
|
[
"MIT"
] | null | null | null |
from enum import Enum
class IdentifierSchemaType(Enum):
ATT_PROJECT_ES = "att_pro_es"
| 15.333333
| 33
| 0.771739
| 13
| 92
| 5.153846
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 92
| 5
| 34
| 18.4
| 0.87013
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 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
|
b328b802923ccf68e2dd19142f167a1ee232736e
| 171
|
py
|
Python
|
pyash/process_error.py
|
JamJar00/pyash
|
309fba074cdb20e31a0cf2510fa71f15e3509448
|
[
"MIT"
] | null | null | null |
pyash/process_error.py
|
JamJar00/pyash
|
309fba074cdb20e31a0cf2510fa71f15e3509448
|
[
"MIT"
] | null | null | null |
pyash/process_error.py
|
JamJar00/pyash
|
309fba074cdb20e31a0cf2510fa71f15e3509448
|
[
"MIT"
] | null | null | null |
class ProcessError(Exception):
"""Exception raised when a process exits with a non-zero exit code."""
def __init__(self, message):
self.message = message
| 28.5
| 74
| 0.690058
| 22
| 171
| 5.181818
| 0.772727
| 0.192982
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.210526
| 171
| 5
| 75
| 34.2
| 0.844444
| 0.374269
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b34960a8e8124750e33decbed4ba53e8142d0ee7
| 114
|
py
|
Python
|
starboardscanner_app/apps.py
|
to314as/a-Distributed-Network-and-Port-Scanner
|
6930e493432e56d0ecf9b9890701fc34e1687d1b
|
[
"MIT"
] | 2
|
2020-06-29T21:37:14.000Z
|
2020-06-30T05:34:45.000Z
|
starboardscanner_app/apps.py
|
to314as/a-Distributed-Network-and-Port-Scanner
|
6930e493432e56d0ecf9b9890701fc34e1687d1b
|
[
"MIT"
] | null | null | null |
starboardscanner_app/apps.py
|
to314as/a-Distributed-Network-and-Port-Scanner
|
6930e493432e56d0ecf9b9890701fc34e1687d1b
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class StarboardscannerAppConfig(AppConfig):
name = 'starboardscanner_app'
| 19
| 43
| 0.807018
| 11
| 114
| 8.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131579
| 114
| 5
| 44
| 22.8
| 0.919192
| 0
| 0
| 0
| 0
| 0
| 0.175439
| 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
|
b362a3d69d072ab76283739809b8d30c7b0c3dc7
| 675
|
py
|
Python
|
ex041.py
|
favitoria/python123
|
99074c309b700f48ddc6aa0811a1891145281af7
|
[
"MIT"
] | null | null | null |
ex041.py
|
favitoria/python123
|
99074c309b700f48ddc6aa0811a1891145281af7
|
[
"MIT"
] | null | null | null |
ex041.py
|
favitoria/python123
|
99074c309b700f48ddc6aa0811a1891145281af7
|
[
"MIT"
] | null | null | null |
DN = int(input('Qual o seu ano de nascimento?'))
idade = 2022 - DN
if DN >= 2013:
print('A categoria para quem tem {} anos na Confederação Nacional de Natação é: MIRIM'.format(idade))
elif DN >= 2008:
print('A categoria para quem tem {} anos na Confederação Nacional de Natação é: INFANTIL'.format(idade))
elif DN >= 2003:
print('A categoria para quem tem {} anos na Confederação Nacional de Natação é: JUNIOR'.format(idade))
elif DN >= 2002:
print('A categoria para quem tem {} anos na Confederação Nacional de Natação é: SÊNIOR'.format(idade))
else:
print('A categoria para quem tem {} anos na Confederação Nacional de Natação é: MASTER'.format(idade))
| 51.923077
| 108
| 0.714074
| 105
| 675
| 4.590476
| 0.342857
| 0.062241
| 0.155602
| 0.197095
| 0.643154
| 0.643154
| 0.643154
| 0.643154
| 0.643154
| 0.643154
| 0
| 0.036036
| 0.177778
| 675
| 12
| 109
| 56.25
| 0.832432
| 0
| 0
| 0
| 0
| 0
| 0.62963
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.416667
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
2faf5de324389864edbb85df31332c0d08d3332c
| 34
|
py
|
Python
|
imagetagger/venv/lib/python3.7/locale.py
|
wrigsa/ImageTagger
|
d8a7ab7d004eeda8deae423eccc7236c4accab47
|
[
"MIT"
] | 8
|
2020-04-09T13:37:16.000Z
|
2021-11-22T01:26:02.000Z
|
env/lib/python3.7/locale.py
|
karenhao/Office-365-Flask-App-kudos
|
95500ec55169f49eb281fff9905ad0b7f94d6fa3
|
[
"MIT"
] | 23
|
2019-01-19T08:54:48.000Z
|
2022-03-11T23:39:37.000Z
|
env/lib/python3.7/locale.py
|
karenhao/Office-365-Flask-App-kudos
|
95500ec55169f49eb281fff9905ad0b7f94d6fa3
|
[
"MIT"
] | 5
|
2021-01-12T07:03:31.000Z
|
2021-09-27T16:30:24.000Z
|
/anaconda3/lib/python3.7/locale.py
| 34
| 34
| 0.823529
| 6
| 34
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 0
| 34
| 1
| 34
| 34
| 0.735294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2fcd9afda058a1f357447e4c63fb33def7d04ee9
| 130
|
py
|
Python
|
ceres/__init__.py
|
Ceres-Navigation/ceres
|
2ab8431e85e783fcdd21a53ccc62fd09ce687dce
|
[
"MIT"
] | null | null | null |
ceres/__init__.py
|
Ceres-Navigation/ceres
|
2ab8431e85e783fcdd21a53ccc62fd09ce687dce
|
[
"MIT"
] | null | null | null |
ceres/__init__.py
|
Ceres-Navigation/ceres
|
2ab8431e85e783fcdd21a53ccc62fd09ce687dce
|
[
"MIT"
] | null | null | null |
__version__ = '0.0.1'
from .spacecraft import Spacecraft
from .celestialbody import CelestialBody
from .rotations import Rotation
| 26
| 40
| 0.823077
| 16
| 130
| 6.4375
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026087
| 0.115385
| 130
| 5
| 41
| 26
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 0.038168
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 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
|
2fe0a1a09030d906d47a21ec12fe7e005d1533a5
| 182
|
py
|
Python
|
tile.py
|
EemeliSyynimaa/picross
|
691d4a8a81656d48239d7fa1fa6b9566728a4a9f
|
[
"MIT"
] | null | null | null |
tile.py
|
EemeliSyynimaa/picross
|
691d4a8a81656d48239d7fa1fa6b9566728a4a9f
|
[
"MIT"
] | null | null | null |
tile.py
|
EemeliSyynimaa/picross
|
691d4a8a81656d48239d7fa1fa6b9566728a4a9f
|
[
"MIT"
] | null | null | null |
from engine import sprite
class Tile(sprite.Sprite):
""" A tile class! """
def __init__(self, *args, **kwargs):
super(Tile, self).__init__(*args, **kwargs)
| 22.75
| 51
| 0.598901
| 22
| 182
| 4.590909
| 0.590909
| 0.19802
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.241758
| 182
| 8
| 52
| 22.75
| 0.731884
| 0.071429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
640b575f6164cce6720f23fc33d2328c2e8b52ee
| 376
|
py
|
Python
|
src/cz_urnnbn_api/__init__.py
|
edeposit/urn-nbn-api
|
2c9d36648491bfcbf0f29bedaf6f507a51805f8e
|
[
"MIT"
] | 1
|
2016-04-26T10:01:35.000Z
|
2016-04-26T10:01:35.000Z
|
src/cz_urnnbn_api/__init__.py
|
edeposit/cz-urnnbn-api
|
2c9d36648491bfcbf0f29bedaf6f507a51805f8e
|
[
"MIT"
] | 24
|
2015-03-04T09:03:51.000Z
|
2015-10-12T12:46:30.000Z
|
src/cz_urnnbn_api/__init__.py
|
edeposit/cz-urnnbn-api
|
2c9d36648491bfcbf0f29bedaf6f507a51805f8e
|
[
"MIT"
] | null | null | null |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Interpreter version: python 2.7
#
# Imports =====================================================================
from api_structures import *
from xml_composer import MonographComposer
from xml_composer import MultiMonoComposer
from xml_convertor import convert_mono_xml
from xml_convertor import convert_mono_volume_xml
| 25.066667
| 79
| 0.651596
| 42
| 376
| 5.595238
| 0.571429
| 0.119149
| 0.12766
| 0.178723
| 0.280851
| 0.280851
| 0
| 0
| 0
| 0
| 0
| 0.008955
| 0.109043
| 376
| 14
| 80
| 26.857143
| 0.692537
| 0.406915
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
640b83e2e1fb6ef20167084983a10e1d5719a398
| 276
|
py
|
Python
|
etc/test_delphes.py
|
deepjets/deepjets
|
fc9c610d4fd80975d8d25eb0d7cd41d7dd318c75
|
[
"BSD-3-Clause"
] | 23
|
2016-11-13T02:48:32.000Z
|
2021-11-13T01:02:20.000Z
|
etc/test_delphes.py
|
deepjets/deepjets
|
fc9c610d4fd80975d8d25eb0d7cd41d7dd318c75
|
[
"BSD-3-Clause"
] | null | null | null |
etc/test_delphes.py
|
deepjets/deepjets
|
fc9c610d4fd80975d8d25eb0d7cd41d7dd318c75
|
[
"BSD-3-Clause"
] | 7
|
2016-12-02T16:58:33.000Z
|
2021-09-02T12:36:46.000Z
|
from deepjets.generate import get_generator_input, generate
gen_input = get_generator_input('pythia', 'w.config')
for pythia, delphes in generate(gen_input, 10, delphes=True):
print pythia.jets
if delphes is not None:
print delphes.jets
print '========'
| 27.6
| 61
| 0.710145
| 38
| 276
| 5
| 0.578947
| 0.126316
| 0.178947
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008811
| 0.177536
| 276
| 9
| 62
| 30.666667
| 0.828194
| 0
| 0
| 0
| 1
| 0
| 0.07971
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.142857
| null | null | 0.428571
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
640fa33fae63e973ec1003da69239c318faaf3aa
| 258
|
py
|
Python
|
optimizers/__init__.py
|
Coricos/Challenger
|
b5f8ec49f72836779943109efa8eb88695bfd7d1
|
[
"Apache-2.0"
] | 15
|
2019-09-06T15:49:12.000Z
|
2021-12-15T08:10:25.000Z
|
optimizers/__init__.py
|
Coricos/Challenger
|
b5f8ec49f72836779943109efa8eb88695bfd7d1
|
[
"Apache-2.0"
] | null | null | null |
optimizers/__init__.py
|
Coricos/Challenger
|
b5f8ec49f72836779943109efa8eb88695bfd7d1
|
[
"Apache-2.0"
] | 2
|
2020-01-05T03:40:09.000Z
|
2021-12-15T08:10:29.000Z
|
# Author: DINDIN Meryll
# Date: 03/03/2019
# Project: optimizers
from .problem import Problem, Prototype, Logger
from .parzen import Parzen
from .bayesian import Bayesian
from .optunas import Optunas
from .wrappers import Experiment, Wrapper, WrapperCV
| 25.8
| 52
| 0.782946
| 33
| 258
| 6.121212
| 0.606061
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.03653
| 0.151163
| 258
| 9
| 53
| 28.666667
| 0.885845
| 0.24031
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
6414119b4984db6bc0ed96636e987afeee795fa4
| 871
|
py
|
Python
|
invconv/axm/__init__.py
|
TechPowerAwaits/ax-toolkit
|
d49924ef2dcd3f54f494ba3859afb070cc12ef91
|
[
"0BSD"
] | null | null | null |
invconv/axm/__init__.py
|
TechPowerAwaits/ax-toolkit
|
d49924ef2dcd3f54f494ba3859afb070cc12ef91
|
[
"0BSD"
] | 16
|
2021-04-14T03:46:37.000Z
|
2022-02-11T16:15:00.000Z
|
invconv/axm/__init__.py
|
TechPowerAwaits/ax-toolkit
|
d49924ef2dcd3f54f494ba3859afb070cc12ef91
|
[
"0BSD"
] | null | null | null |
# Copyright 2021 Richard Johnston <techpowerawaits@outlook.com>
# SPDX-license-identifier: 0BSD
# Automatically bring in all modules within the package.
try:
import axm.command as command
import axm.common as common
import axm.exceptions as exceptions
import axm.operator as operator
import axm.output as output
import axm.parser as parser
import axm.scheduler as scheduler
import axm.struct as struct
import axm.utils as utils
except ModuleNotFoundError:
import invconv.axm.command as command
import invconv.axm.common as common
import invconv.axm.exceptions as exceptions
import invconv.axm.operator as operator
import invconv.axm.output as output
import invconv.axm.parser as parser
import invconv.axm.scheduler as scheduler
import invconv.axm.struct as struct
import invconv.axm.utils as utils
| 34.84
| 63
| 0.76349
| 121
| 871
| 5.495868
| 0.289256
| 0.121805
| 0.216541
| 0.057143
| 0.613534
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007092
| 0.190586
| 871
| 24
| 64
| 36.291667
| 0.93617
| 0.167623
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.9
| 0
| 0.9
| 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
|
64294ce583f6c15c51af7beeb59843e2644eef69
| 30
|
py
|
Python
|
custom_components/instagram/__init__.py
|
kk88/sensor.instagram
|
bd9e213faa9d7c195f5c56b0e23bb554fd1a4dd3
|
[
"MIT"
] | 4
|
2021-02-23T07:05:51.000Z
|
2021-10-07T07:57:03.000Z
|
custom_components/instagram/__init__.py
|
fabHAgithub/sensor.instagram
|
e13eb23e20753d08495489512e0ae79a17da9a9a
|
[
"MIT"
] | 6
|
2021-04-05T22:39:30.000Z
|
2022-03-25T10:35:42.000Z
|
custom_components/instagram/__init__.py
|
fabHAgithub/sensor.instagram
|
e13eb23e20753d08495489512e0ae79a17da9a9a
|
[
"MIT"
] | 3
|
2021-07-06T09:11:50.000Z
|
2022-01-12T16:16:40.000Z
|
"""The Instagram Component."""
| 30
| 30
| 0.7
| 3
| 30
| 7
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 30
| 1
| 30
| 30
| 0.75
| 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
|
ff214edf4175ce09e59386c180ebe9edc66d95e6
| 230
|
py
|
Python
|
api/serializers.py
|
Aananda-giri/ioe_auto_attend
|
f55e532365e9f2da17437c554286d01754e7ac00
|
[
"Apache-2.0"
] | null | null | null |
api/serializers.py
|
Aananda-giri/ioe_auto_attend
|
f55e532365e9f2da17437c554286d01754e7ac00
|
[
"Apache-2.0"
] | null | null | null |
api/serializers.py
|
Aananda-giri/ioe_auto_attend
|
f55e532365e9f2da17437c554286d01754e7ac00
|
[
"Apache-2.0"
] | 1
|
2021-10-31T13:09:04.000Z
|
2021-10-31T13:09:04.000Z
|
# serializers.py
from rest_framework import serializers
from .models import IoeNoti
class NotiSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = IoeNoti
fields = ('title', 'url', 'date')
| 23
| 61
| 0.721739
| 23
| 230
| 7.173913
| 0.73913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191304
| 230
| 9
| 62
| 25.555556
| 0.887097
| 0.06087
| 0
| 0
| 0
| 0
| 0.056075
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ff27b6f9ec2e89a4fdaa12005c4ca5d1c836ac12
| 47,692
|
py
|
Python
|
python/course/leetcode/53. Maximum Subarray.py
|
TimVan1596/ACM-ICPC
|
07f7d728db1ecd09c5a3d0f05521930b14eb9883
|
[
"Apache-2.0"
] | 1
|
2019-05-22T07:12:34.000Z
|
2019-05-22T07:12:34.000Z
|
python/course/leetcode/53. Maximum Subarray.py
|
TimVan1596/ACM-ICPC
|
07f7d728db1ecd09c5a3d0f05521930b14eb9883
|
[
"Apache-2.0"
] | 3
|
2021-12-10T01:13:54.000Z
|
2021-12-14T21:18:42.000Z
|
python/course/leetcode/53. Maximum Subarray.py
|
TimVan1596/ACM-ICPC
|
07f7d728db1ecd09c5a3d0f05521930b14eb9883
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding:utf-8 -*-
# @Time:2020/6/29 18:52
# @Author:TimVan
# @File:53. Maximum Subarray.py
# @Software:PyCharm
# 53. Maximum Subarray
# Given an integer array nums, find the contiguous subarray (containing at least one number)
# which has the largest sum and return its sum.
#
# Example:
# Input: [-2,1,-3,4,-1,2,1,-5,4],
# Output: 6
# Explanation: [4,-1,2,1] has the largest sum = 6.
# Follow up:
# If you have figured out the O(n) solution,
# try coding another solution using the divide and conquer approach, which is more subtle.
from typing import List
# # 状态：超出时间限制
# class Solution:
# def maxSubArray(self, nums: List[int]) -> int:
# maxSum = nums[0]
# lens = len(nums)
# for i in range(0, lens, 1):
# base = nums[i]
# if base > maxSum:
# maxSum = base
# for j in range(i + 1, lens, 1):
# # print("%d~%d" % (i, j))
# base += nums[j]
# if base > maxSum:
# maxSum = base
# return maxSum
# 动态规划（子问题）
class Solution:
def maxSubArray(self, nums: List[int]) -> int:
lens = len(nums)
maxSum = nums[-1]
dpDict = {(lens - 1, lens - 1): nums[-1]}
for i in range(lens - 1, -1, -1):
for j in range(i, lens, 1):
if i == j:
dpDict[(i, j)] = nums[i]
else:
dpDict[(i, j)] = dpDict.get((i, i)) + dpDict.get((i + 1, j))
if dpDict.get((i, j)) > maxSum:
maxSum = dpDict.get((i, j))
return maxSum
solution = Solution()
inputArr = [
# [-2, 1, -3, 4, -1, 2, 1, -5, 4]s
# ,
# [100]
# ,
# [-1, 100]
# ,
# [-2, 1]
# ,
# [2, 1, -3, 4]
# ,
[-57, 9, -72, -72, -62, 45, -97, 24, -39, 35, -82, -4, -63, 1, -93, 42, 44, 1, -75, -25, -87, -16, 9, -59, 20, 5,
-95, -41, 4, -30, 47, 46, 78, 52, 74, 93, -3, 53, 17, 34, -34, 34, -69, -21, -87, -86, -79, 56, -9, -55, -69, 3, 5,
16, 21, -75, -79, 2, -39, 25, 72, 84, -52, 27, 36, 98, 20, -90, 52, -85, 44, 94, 25, 51, -27, 37, 41, -6, -30, -68,
15, -23, 11, -79, 93, -68, -78, 90, 11, -41, -8, -17, -56, 17, 86, 56, 15, 7, 66, -56, -2, -13, -62, -77, -62, -12,
37, 55, 81, -93, 86, -27, -39, -3, -30, -46, 6, -8, -79, -83, 50, -10, -24, 70, -93, -38, 27, -2, 45, -7, 42, -57,
79, 56, -57, 93, -56, 79, 48, -98, 62, 11, -48, -77, 84, 21, -47, -10, -87, -49, -17, 40, 40, 35, 10, 23, 97, -63,
-79, 19, 6, 39, 62, -38, -27, 81, -68, -7, 60, 79, -28, -1, -33, 23, 22, -48, -79, 51, 18, -66, -98, -98, 50, 41,
13, -63, -59, 10, -49, -38, -70, 56, 77, 68, 95, -73, 26, -73, 20, -14, 83, 91, 61, -50, -9, -40, 1, 11, -88, -80,
21, 89, 97, -29, 8, 10, -15, 48, 97, 35, 86, -96, -9, 64, 48, -37, 90, -26, -10, -13, 36, -27, -45, -3, -1, 45, 34,
77, -66, 22, 73, 54, 11, 70, -97, -81, -43, -13, 44, -69, -78, 30, -66, -11, -29, 58, 52, -61, -68, -81, 25, 44,
-32, 57, -81, 66, 2, 52, 43, 35, -26, 16, -33, 61, -37, -54, 80, -3, 32, 24, 27, 30, -69, 38, -81, 2, -4, 47, 17,
5, 42, -58, -51, -90, 98, -33, 76, -22, 95, -4, 89, -31, -87, -44, -69, -48, 1, 87, 48, -90, -12, -24, 39, 18, -86,
35, 96, -14, -41, 13, 90, -98, 32, -83, -89, 7, -17, 63, 84, -21, -40, 51, 24, -51, 83, 31, 0, -38, -5, -74, -29,
59, 1, 87, -22, -9, -1, -49, 76, 57, 41, 44, 35, -27, 60, 23, 56, -80, -14, 41, -2, 22, -31, 99, 47, -48, 7, -75,
13, -97, -50, 61, 61, 27, 48, -84, 94, -76, -56, 70, 57, 84, -9, -7, -66, -49, -84, 89, -29, -22, 7, 45, -99, 75,
21, 24, -95, -71, 48, 17, -92, 74, -22, 45, 1, -97, 61, -5, -74, 81, -57, 83, 42, 33, -47, 75, 61, -55, 41, -68,
22, -51, 53, -1, -99, -25, -76, -95, 3, 48, -1, -13, 23, 53, -68, -76, 33, 92, -4, 35, 50, 38, 18, -8, -52, 47,
-33, -91, 91, 85, -60, 14, -89, 93, 89, -89, -55, 89, 92, 47, 38, -9, -66, -39, -79, -58, -39, 53, -65, 56, -11,
61, -29, 83, -46, 19, 31, -3, 27, -1, -18, 67, -87, -8, 37, 79, -20, 58, 68, -28, -18, -17, 39, -8, 43, 59, 33, 81,
13, 44, 37, -98, 6, 85, 84, 59, 4, -8, -44, -69, 91, 15, 74, 80, 83, -12, 59, -37, -54, 5, 34, 27, 87, -50, -81, 8,
-90, 52, -11, -1, -4, -97, 0, 78, 87, -39, 37, -32, 30, 70, -1, 21, -38, -50, -22, -55, 15, -85, 8, 60, 19, -81,
-35, -17, -31, -40, 90, -45, -88, -44, 53, -15, -41, -70, -37, -77, -33, 77, -9, 96, 24, 66, -6, 85, 92, 72, -70,
7, 86, 14, -32, -18, 33, 9, 64, 78, 68, 32, -90, 57, 87, 62, -58, -77, 68, -19, -54, -65, -42, 13, -68, 58, -44,
25, 43, -52, -26, 73, 55, -63, -13, -77, 18, 96, 31, -40, 51, -1, 91, 60, -44, 55, 22, -26, 78, -10, 32, -99, 2,
66, 13, 33, 25, 68, -65, -32, -84, -14, -82, 70, 22, 5, 69, -59, -22, -23, 0, -70, 53, -32, 89, 85, -77, -11, -40,
77, 55, 68, 77, -43, 34, -33, 66, -41, -88, -98, 27, -72, -13, 21, 74, 85, -74, 21, -74, -19, 97, 2, 10, 50, 46,
-1, 13, 69, 87, 72, 23, 20, 40, 1, 76, -49, 67, 43, 10, 79, 21, -86, 83, 84, 34, 34, 69, 37, -45, 72, -82, -70,
-26, 27, 56, 97, -97, -31, 66, 67, -82, -11, -13, 57, 66, -37, 85, 11, 82, -5, -33, 3, -15, -50, -13, 95, 60, -66,
9, -84, -94, 26, -78, -44, -70, 77, -47, -90, -53, 95, 76, -36, -38, -60, 98, -72, -21, 83, 15, -38, -45, 81, 41,
16, -69, -94, 11, 91, -84, -79, 83, -79, 23, -95, -24, 30, 58, 6, 39, -95, 1, -8, -54, 62, 31, -56, 67, 86, -96,
-18, -75, -42, -36, 66, 73, -29, 48, -39, -61, 63, -42, 98, 60, 81, -97, -64, 11, 61, 18, -73, 42, -80, 18, 87, 58,
-51, -69, 2, -88, -66, 84, -63, -32, -75, 79, -82, -28, 27, -21, 11, -33, 13, 9, -73, -6, -11, -61, 81, -73, 57,
-92, 45, 53, 25, 33, 11, 50, 40, 90, 62, 51, 74, 75, -81, 75, 54, -86, -53, -42, -8, 34, 1, -95, -79, 27, -24, -14,
42, -66, 12, -24, -58, -66, -71, 43, 66, 17, -29, -16, 7, -90, -65, -42, 84, -70, -90, 15, -57, -67, 49, 11, 67,
-50, -7, 64, 53, 68, -50, -5, 78, 38, 71, 96, 71, 76, 40, 15, -7, 87, 98, 76, 96, -90, -66, 57, -61, -57, -51, -41,
-47, 97, 69, -80, -53, -61, 83, 76, 83, -90, -29, 62, 47, -81, 58, 18, 95, -2, -67, -12, -38, -92, -35, -65, -83,
-25, 91, -44, -5, -83, -9, 47, -86, -40, 43, -63, -1, 3, -87, -18, 12, -39, -79, -41, -21, 79, 53, -26, -46, 63,
39, 16, 70, 80, 50, 87, -45, 19, -80, 26, 35, 10, -27, 26, 46, 92, 62, -55, -5, 52, 4, -93, -87, 1, -58, -9, -20,
95, 42, 34, 58, -19, -73, 5, -39, 53, -31, -8, -28, -12, 95, 84, 97, -55, 10, 44, -62, -51, 65, 32, -99, -54, 16,
89, 47, 57, -42, -96, 52, 99, 14, -13, -43, 40, 69, -6, -6, -62, 85, 42, 26, 80, 26, 0, -74, -87, -79, -60, -38,
63, 71, -61, 85, -13, -71, 9, -78, -14, 13, 50, -38, -73, -85, 18, 44, 83, -88, -85, -79, 73, 56, 23, 31, -40, -99,
33, -51, 97, 72, -13, 60, 20, 26, 46, 84, 31, -45, -94, 93, 67, 55, -45, 71, 69, 49, 15, 52, 37, 29, 50, -13, -38,
-50, -82, -2, -73, 27, 47, -75, -24, -66, 84, 96, 36, 7, 80, -56, 62, 62, -63, 6, 17, -32, -46, -13, 93, 45, -84,
30, -26, 42, -82, 13, 92, -88, -89, -81, 16, 34, -57, 91, 45, -95, 87, -42, 11, 44, 2, -50, 6, 15, 33, -76, 83, 86,
-13, 76, 32, -21, -16, 82, -78, -22, -28, 90, -34, -40, -91, 81, 93, -71, 73, 15, -90, 37, 73, -3, -41, -48, 47,
64, 66, -43, 64, 49, -57, -72, 3, 51, 7, 63, 11, 28, -82, 82, 18, -17, -58, 3, -58, -87, 8, -85, 27, 17, 28, -23,
-85, 86, 28, 38, 28, -5, 94, -31, -79, -86, -3, 0, 65, 80, -60, -24, 8, -43, -65, -97, 40, -23, -18, 81, -11, 90,
72, 92, -16, 0, -30, -25, -36, 97, -87, 68, -31, 83, -63, -33, 97, 10, 66, 39, -10, -93, 91, 74, -37, -74, 53, 79,
-21, -64, 37, 67, -74, 9, 60, 9, 86, -70, 84, -73, -96, 73, 94, -50, 57, -69, 16, 31, 18, -18, -53, -92, -35, -62,
59, 5, -60, 12, -16, 19, 47, -78, -14, 49, 7, -77, -64, -7, -71, 96, 19, -67, 69, -10, -18, 3, -2, 97, -89, -84,
-44, -43, 99, -2, -6, 58, -97, 11, -29, -14, -70, 94, -16, -8, 44, 91, 15, 79, -39, 20, 75, 57, 52, 21, -53, -89,
-98, 44, 84, -88, 36, -82, -31, 36, 15, 39, -29, 17, -50, 41, 79, -21, 13, -36, 71, -66, -68, -37, 89, -8, 82, 41,
-74, 12, -38, -50, -1, -37, 70, -39, -48, 7, -22, 20, -57, 69, -41, 13, -14, -14, -68, -58, 64, 21, 5, 12, 54, 13,
51, 43, -94, 11, -16, -92, 99, 22, -43, -2, 62, -72, 58, -86, 11, -87, 33, 53, 81, 68, -57, -56, -46, -49, -14, 95,
71, 67, -16, 2, -19, -87, -78, -37, 0, -18, -30, -1, -95, 4, 96, 66, 31, 32, 79, -81, 44, -11, 48, 3, -66, 90, 46,
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65, -64, 73, 33, 59, -62, 28, 67, -26, -29, 43, 71, 16, 99, -20, 83, 18, -11, 9, -16, 72, -61, 52, -47, 34, 29,
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80, -2, -57, 56, 89, -14, 50, 0, -91, -83, 95, -6, -16, -37, 58, 27, -1, -44, -92, -64, 66, 43, -55, -88, -47, -93,
-33, -39, 2, -44, 19, -18, 31, 38, -85, 20, -98, 41, -80, -90, 57, 91, 3, -82, -46, -38, 21, 29, -6, 29, 65, -63,
-28, -90, -52, 24, 92, 15, 61, -6, 47, -42, 52, -22, 95, 43, 98, 96, -39, 94, 82, -81, 86, -14, -87, -83, 24, 11,
46, -82, -60, -12, -45, -12, -26, -21, 89, -33, 93, 27, 37, 41, 84, -33, 95, 57, 86, 70, 30, -52, 65, 13, -57, 28,
98, -45, 44, -1, 65, -33, -7, 81, 54, 24, -53, -71, -96, -64, -28, 73, 39, 85, -9, 24, -71, -13, -42, -84, -43, 87,
-37, 98, 0, 5, 26, -25, 59, -52, 50, 2, -9, -56, -40, -54, 67, 6, -49, 47, 18, 22, 21, -42, -16, 88, 58, 13, -48,
-84, 28, 9, 79, 90, -16, -20, -28, -89, 31, -92, -42, -18, 9, 25, 25, 69, 70, -31, -48, 97, 93, 70, -4, -9, -95,
80, -21, 39, -30, 31, 31, 97, -83, 10, 64, 0, 89, -64, -13, 21, -57, 21, 79, 29, -53, 4, -25, 93, 49, 26, 91, 42,
-27, -13, -67, -46, -56, 12, 92, 13, -80, 23, -13, -64, -66, -49, 12, 99, -14, 99, -3, 6, -3, -24, -65, 43, 79, 9,
37, 29, -65, 5, -52, -15, 91, -19, 38, -87, 69, 31, 25, 88, -69, -87, -99, -36, -37, -11, -36, 26, -35, 60, -68,
62, -63, -57, 5, 92, 51, -81, -2, 62, 23, 46, -53, -8, -96, 85, 4, 72, -7, -71, 37, 23, -82, 14, 64, -42, -97, -95,
60, -55, 64, 68, -93, 77, -89, -12, 47, 61, -16, -78, 23, -93, 67, 47, -25, 47, 9, 78, -4, 78, 84, -90, -22, 78,
23, -58, -64, 3, -54, 95, 47, 87, 63, 30, 41, 50, 94, -12, 11, -22, 10, -88, -38, -46, 35, 13, 78, -56, -8, -26,
98, -47, -16, -24, -69, 83, 18, -56, -37, 40, -61, -90, 27, 79, 16, -54, 6, -12, 33, 94, 65, -80, 82, -96, -49, 17,
17, -71, 37, 85, -21, 35, -62, 39, 87, -55, 0, 5, -12, 62, -77, 4, 72, 49, -40, -35, 71, 65, 52, -18, 59, -5, 1,
41, -2, 28, -65, 91, 33, 71, 53, 89, -17, 90, 28, -29, -87, -72, 75, 0, 90, 74, -96, 39, 24, -60, 80, -28, -94, 33,
53, 41, -95, -68, -17, -21, 59, 17, -29, -30, -34, -76, -41, 48, 91, 63, -81, -96, 68, 71, -20, 35, 45, -39, -26,
-54, 0, -69, 18, -18, 40, -29, -76, 44, 2, -17, -76, -61, 99, -29, 8, -58, -29, 43, 90, -38, 6, 85, -58, -49, 56,
22, 85, -21, 59, -64, 24, -41, -33, -81, 41, -93, -33, 64, 28, 45, -76, 51, 83, -77, -78, -32, -58, -8, 87, -68,
31, -29, -83, 49, 21, 50, -52, 7, -71, -93, 19, 29, -34, 85, 25, 83, 69, 91, 47, -3, 36, 47, -75, -3, 69, -54, 41,
87, 14, 6, -81, -78, 76, -87, 71, -26, 62, -81, 57, 67, -74, -23, -27, -32, -61, 97, -49, -92, 65, 74, -19, 2, 21,
5, 75, -33, 27, -7, -45, -81, 98, -50, -60, 51, -38, 87, -74, -99, 83, 59, 44, 85, -64, -82, -47, -48, 91, -20,
-64, 57, -46, 17, -64, 74, -78, 87, -82, 26, -20, -28, 44, -44, 22, 83, -93, 60, 48, -91, 61, 31, 68, 5, 16, 80,
-1, 45, -68, -9, -75, -55, -75, -45, 61, -40, -94, 59, -53, -77, -15, 3, -28, -71, 58, 93, 89, 42, 53, 37, 27, -9,
-55, -5, 73, 37, -47, -28, -41, -39, 39, -17, 5, 40, 14, -34, 76, 19, -97, 99, 41, -13, 3, -87, -7, -62, 82, -18,
56, 13, 95, -16, -96, -83, 55, 53, 53, -92, -97, 88, -54, 18, -52, 50, -41, 61, 93, -65, -20, 95, -65, -79, -41,
14, -89, 51, 51, 92, -90, 8, -18, 81, 68, -14, 97, 23, -84, 27, 8, -82, 15, 53, 36, 62, 3, 94, 0, -27, -94, 79,
-32, -60, 77, 4, 53, 87, -45, -18, 56, -58, 66, -61, -77, 34, 24, 97, -66, 16, 24, 41, 34, -83, -6, -30, 55, 74,
-59, -44, -53, -54, -88, -8, -14, 88, 95, -84, 75, -73, -26, 32, -32, -60, 70, -32, 50, -29, -35, 84, 86, 65, 25,
20, 58, 96, 66, -9, 70, -93, 23, 93, -70, 34, -15, -8, 23, -20, 7, -2, -16, 58, -93, 51, 97, 76, 95, 48, -53, -63,
9, -89, -97, -66, 7, 37, -93, -26, -72, 76, -43, 50, 47, -14, -15, -68, 77, 84, -11, -38, -18, 72, -80, -11, 0,
-83, -58, -4, 41, -34, 32, -50, -24, 11, -39, 82, -51, -33, -67, -47, -79, -10, 80, 67, 75, -58, 75, 30, -74, -36,
91, -16, -87, -89, 49, 13, -96, 91, -91, 45, -43, 17, 71, 9, -71, -91, -32, -46, -47, 1, 6, -50, 67, -14, 93, 42,
4, 68, -28, 29, -90, -60, -86, -78, -50, 62, 11, -46, 30, 19, 75, 86, -86, 23, -28, -58, 32, 40, -28, 84, -82, 77,
-89, 84, -59, -96, 26, 44, 48, 75, -49, 57, -85, -59, 56, -58, -97, -33, -28, 33, 63, -53, -4, 76, 46, 45, 94, -22,
-15, -34, -61, 2, -80, -51, -14, -63, -71, 88, 81, 77, 40, -91, 11, 32, -51, -33, 73, -72, 34, -55, 37, -26, -32,
-89, -73, -86, 55, -79, -31, -60, -37, 7, 18, -41, 33, 80, -4, 61, 68, -46, 15, 9, -38, -73, -82, 10, -7, 90, 14,
-96, -88, -48, -23, -44, -38, -20, -31, -83, 0, 14, -67, 39, -78, 50, 98, 31, 30, -6, -31, -25, 47, 84, 60, 85,
-89, 77, -28, -20, 44, 85, -16, 55, -63, 37, -89, -25, -82, -43, -32, -6, 47, 0, -66, 45, -73, -91, -24, 33, -21,
45, 85, -74, 6, 45, 87, 16, 0, -41, 95, -56, -56, -44, 76, -42, 70, 63, 9, 87, -80, 77, -42, 67, -46, -32, 12, -19,
-24, 65, 90, 54, -13, 75, 56, 92, 21, 43, -15, -79, 78, -43, -59, 99, 13, -83, -43, -17, 80, 42, -53, 76, 19, -19,
20, 50, 49, -90, -69, -98, 74, 97, 33, -62, 73, -34, -70, -29, 86, 14, -32, 64, 70, 8, 63, -40, 2, 96, 19, -18, 39,
42, -42, -65, -76, 55, 84, 72, 64, 91, 50, 15, 89, -40, 52, 39, 26, 58, -90, 12, -28, -23, -24, -81, 61, -83, -44,
-37, -87, 74, 44, 28, 17, 79, 63, 40, 11, 24, -11, -25, 16, -84, 66, -18, -24, 18, -79, -98, -24, -70, -10, 24,
-17, 42, 19, -79, 58, 74, -16, 48, 49, -95, -47, -57, 60, -84, 82, -29, 17, -52, 22, -67, -37, -12, -9, 15, -94,
11, 16, -42, 17, 82, 81, 76, 25, 1, 96, -17, -25, -20, -92, -99, -38, -39, -57, -78, -47, -98, -30, 69, -51, 91,
78, -11, -20, -31, -96, -15, 56, -3, 20, -50, -21, 1, -74, -96, 78, -77, -36, -69, -21, -52, -92, 17, 8, -49, 39,
38, -71, 85, -16, -22, 76, -37, 43, -44, 8, 23, 18, -58, -80, -62, -9, -1, 15, 17, -21, -29, 16, 19, 1, 71, 67,
-15, -11, -48, 12, -95, 89, 41, 89, -26, 95, 65, 13, 38, 98, -79, -39, 16, -38, -42, 53, 53, 33, -32, -53, -88, 38,
39, 31, -84, 10, -25, 1, 75, 26, -87, 56, 16, 30, 45, 66, 25, -12, -21, -60, -14, -24, -22, -98, 38, 35, 31, -32,
-32, 75, -9, -44, -9, -70, 63, 6, 16, -62, 83, -31, 64, 73, -75, -43, 3, 70, -77, -94, -65, 1, -55, 20, 76, 22, -2,
-9, -43, -71, 35, 1, -96, -74, 57, -6, -68, -3, 77, 25, 35, 60, 93, -24, 10, -82, 32, 90, 64, 31, 95, 98, -91, -83,
-5, 61, 39, 92, -47, 72, -79, 64, -26, -75, 67, -92, -5, 98, -19, -28, 0, -84, -90, -7, -9, -4, -12, 99, -14, -48,
30, -42, -72, 38, -25, 22, 0, -86, 15, 29, 62, 35, -7, -87, 36, -40, 96, -68, -64, -22, -20, 35, -7, -34, -94, 61,
62, -7, 37, -52, 44, -32, -17, 71, 82, 57, -6, -41, 47, -91, 87, 9, 20, -42, 22, -66, -6, -5, -58, 29, 72, 21, -58,
-57, 87, -53, -96, 26, 39, 40, 73, -17, 84, -44, -68, 67, 89, 2, -97, 36, -13, 90, -77, -93, -52, 21, -83, 18, -84,
-42, -52, 88, 56, -11, -69, 20, 35, -89, -54, -49, 27, 95, 33, -11, -71, 41, -67, -82, -57, -65, 31, 29, -75, 53,
13, -51, -26, 6, 67, -34, 64, 91, -69, -3, -43, -62, -83, 68, -52, -61, -81, 52, -66, 28, -59, -38, -30, -27, -43,
-11, 7, 87, 95, 9, 40, 8, 34, 90, 90, -22, -67, 54, -31, -36, -72, 25, 1, -79, -7, 26, -41, 11, -22, -30, -83, -5,
31, -14, 67, 87, 74, -49, 51, 46, 36, -9, -46, -29, -42, -78, 48, -9, 75, 94, 54, 80, -4, -45, -99, 89, 57, -63,
-23, -65, 6, -7, 29, -86, 55, -27, 78, 7, 1, 29, -47, -63, 97, -16, -16, -45, 5, -67, 45, -43, -96, -24, -86, -1,
8, -85, -35, -35, -72, 42, 0, 33, -88, -94, 23, 44, -44, 1, -72, 56, -92, -43, 92, -95, 40, -23, -41, -78, -14, 81,
-44, -34, -43, -31, 64, 41, -40, -70, -93, -13, 48, -17, -80, 36, -12, 20, -20, 43, -79, 7, -24, -95, 64, -31, -91,
-19, 22, -55, -20, 84, -97, 35, -50, -64, -96, 90, 77, -36, -80, 83, 50, 44, -34, 47, -19, 30, -33, 60, -49, -36,
-55, 26, -54, 85, 71, -46, -57, -30, -25, 22, -46, -23, -66, -20, -10, -62, -52, -33, -22, -33, -73, -95, -88, -31,
28, -31, 75, 71, -71, -74, -64, -50, 29, -19, -88, 0, 11, -68, 70, 63, 53, -99, -83, 64, -42, 6, 78, 5, 49, -44,
48, 75, -63, 36, -79, 65, -95, 96, 36, -89, 98, 48, -63, 27, -94, -74, -95, -6, -43, 51, -43, 86, 51, -27, 50, 85,
56, 28, -33, 5, 60, 92, -42, 97, 28, -22, 39, 10, -26, -48, 20, -27, -99, 33, 76, 82, 58, 80, -24, -85, 31, 32,
-98, -40, 82, 28, -78, 38, -66, -11, -57, 93, -19, 0, 67, 85, 78, -17, -5, -71, 35, 91, -22, 12, 2, -45, -6, -40,
-88, 47, -48, 43, -21, -70, -97, -39, 57, -99, 98, 90, -11, -81, 61, 46, 18, 28, 9, -27, -88, 80, 2, 23, 49, 56,
-65, -49, -89, 5, 10, -77, -48, 61, 42, 8, 90, 21, 45, 25, 21, 44, 15, 87, 62, -47, 33, -43, 81, -81, 30, 69, 99,
-91, -31, 48, 64, -20, 98, 75, 84, -15, 74, -86, -76, -7, 21, 90, -86, -34, 15, 34, 86, -92, -2, 25, -40, -68, 82,
-82, -73, -11, 63, -74, -3, -68, 50, -39, 11, 25, -87, -27, -89, 63, -37, -89, -44, 83, -99, -54, -74, -7, 80, 89,
0, -22, 14, 36, -14, -27, 31, 13, 61, -29, 15, -65, 3, -34, -27, 90, 90, -38, -60, 77, -97, 2, 87, -42, -38, 65, 4,
-12, -42, -39, -23, 34, 15, 67, -30, 78, -82, 77, -32, 55, -51, 59, 90, 28, -98, -60, -5, 69, 1, 35, 46, -20, -63,
11, 38, -1, -24, -81, 63, 33, -44, -83, -33, 47, 83, 13, 2, 77, -32, 69, 33, 16, 6, 0, -79, 7, 39, 15, -24, -83,
-50, 99, -3, -13, 10, -88, 62, 62, -93, 25, -5, -61, 41, 38, 62, 1, -72, -35, -21, -5, -89, 88, -89, 16, -12, -92,
-76, -96, 23, -24, -80, 72, -25, -7, -64, 61, 4, 97, 23, -13, -1, -82, 25, -83, 32, -12, 18, 60, 29, 73, -45, 39,
61, -57, -67, -74, -73, -67, -71, 49, 8, -52, 22, 83, 18, 34, 21, -78, 9, -55, -14, -92, -61, -89, -98, 71, -25,
-4, 8, -96, -54, 39, 20, 83, 58, 52, -91, 85, 84, -63, 34, -31, -39, -67, -48, 78, 44, 50, 77, -47, 94, -37, -63,
-67, -50, -62, 80, 2, 10, -12, 5, 55, -95, -98, 38, 62, 30, 46, 47, 14, 59, -41, 83, -79, -32, -88, 75, -88, 61,
29, -36, 55, 91, -22, 65, -81, -8, 45, 20, -97, -89, -98, 57, -85, -96, -27, 76, 33, -81, 1, -75, 55, 36, -92, 52,
-96, 95, 27, -84, 34, -43, -44, -34, -75, 33, -69, -57, -74, 53, 62, -95, 40, 64, 38, 54, 44, -89, 7, -23, -93, 84,
1, 61, 20, -15, 13, 24, -42, -83, 39, 91, -27, 94, -43, -2, 5, -35, 17, 7, -82, -20, 11, 57, -79, -74, -12, 64,
-63, 71, -59, -57, 56, 19, 80, -24, -96, -7, 76, -39, 9, -8, -71, 59, -36, -14, -66, 68, 50, 50, -25, 44, -70, 62,
-22, -50, 64, 65, -86, -99, 13, -68, -80, -31, 50, 76, 22, 30, -31, -2, 68, 55, 90, 96, -9, -69, -41, 24, 98, 85,
-49, -50, 6, -42, 88, 83, -16, 52, 25, -25, 30, -61, 6, 49, -16, -67, 26, -94, 39, 71, -19, 7, 3, -52, -19, 93,
-22, 39, -6, -47, 2, 45, 2, -92, -97, -10, 91, -14, -81, -7, 60, 48, 8, -57, -25, 92, -25, 77, 97, -85, 25, -45,
-2, -71, 2, 78, 98, 56, -5, -30, -91, 73, -85, 10, 80, 93, 76, 48, -44, 72, -58, -83, 20, 49, -64, 94, 18, 11, 48,
16, 2, -26, 47, 99, -21, -50, 55, -23, -94, -73, 46, -85]
]
for one in inputArr:
print(solution.maxSubArray(one))
| 104.358862
| 120
| 0.417701
| 10,254
| 47,692
| 1.942754
| 0.018042
| 0.000803
| 0.000753
| 0.000602
| 0.008835
| 0.005421
| 0.005421
| 0.005421
| 0.005421
| 0
| 0
| 0.543342
| 0.263692
| 47,692
| 456
| 121
| 104.587719
| 0.023949
| 0.022121
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.002469
| false
| 0
| 0.002469
| 0
| 0.009877
| 0.002469
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ff33b14dca1fde0762097d21d956798781c851b5
| 1,403
|
py
|
Python
|
hypothepy/utils/http_client.py
|
embo-press/hypothepy
|
dc4e0ba5bcbc46fcb0a9ced97218a388c590228d
|
[
"MIT"
] | 6
|
2021-01-31T09:06:29.000Z
|
2022-01-29T14:16:54.000Z
|
hypothepy/utils/http_client.py
|
embo-press/hypothepy
|
dc4e0ba5bcbc46fcb0a9ced97218a388c590228d
|
[
"MIT"
] | 1
|
2019-08-28T09:14:49.000Z
|
2020-04-02T07:43:22.000Z
|
hypothepy/utils/http_client.py
|
embo-press/hypothepy
|
dc4e0ba5bcbc46fcb0a9ced97218a388c590228d
|
[
"MIT"
] | null | null | null |
import requests
from typing import Dict
from requests.models import Response
class HttpClient:
def __init__(self, default_headers: Dict[str, str] = None) -> None:
if default_headers is None:
default_headers = {}
self._headers = default_headers
###########################################################################
# HTTP Verbs
#
def get(self, *args, **kwargs) -> Response:
kwargs.setdefault('headers', {})
kwargs['headers'] = {**self._headers, **kwargs['headers']}
return requests.get(*args, **kwargs)
def post(self, *args, **kwargs) -> Response:
kwargs.setdefault('headers', {})
kwargs['headers'] = {**self._headers, **kwargs['headers']}
return requests.post(*args, **kwargs)
def delete(self, *args, **kwargs) -> Response:
kwargs.setdefault('headers', {})
kwargs['headers'] = {**self._headers, **kwargs['headers']}
return requests.delete(*args, **kwargs)
def put(self, *args, **kwargs) -> Response:
kwargs.setdefault('headers', {})
kwargs['headers'] = {**self._headers, **kwargs['headers']}
return requests.put(*args, **kwargs)
def patch(self, *args, **kwargs) -> Response:
kwargs.setdefault('headers', {})
kwargs['headers'] = {**self._headers, **kwargs['headers']}
return requests.patch(*args, **kwargs)
| 35.974359
| 79
| 0.566643
| 136
| 1,403
| 5.742647
| 0.213235
| 0.128041
| 0.256082
| 0.140845
| 0.614597
| 0.614597
| 0.614597
| 0.614597
| 0.614597
| 0.614597
| 0
| 0
| 0.215253
| 1,403
| 38
| 80
| 36.921053
| 0.709355
| 0.007128
| 0
| 0.357143
| 0
| 0
| 0.079848
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.107143
| 0
| 0.535714
| 0
| 0
| 0
| 0
| null | 0
| 1
| 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
|
ff87aa5cb04a6a4cabf8f24f2da6a9de70d24379
| 181
|
py
|
Python
|
gitPull.py
|
akd001/RPi
|
020900b93f51471c2174c8cc61127e702a8fdbdb
|
[
"MIT"
] | 1
|
2016-12-22T11:49:06.000Z
|
2016-12-22T11:49:06.000Z
|
gitPull.py
|
akd001/RPi
|
020900b93f51471c2174c8cc61127e702a8fdbdb
|
[
"MIT"
] | null | null | null |
gitPull.py
|
akd001/RPi
|
020900b93f51471c2174c8cc61127e702a8fdbdb
|
[
"MIT"
] | null | null | null |
import subprocess
import rpiutil
def pull():
outString = subprocess.check_output("git -C " + rpiutil.getHome() + "git/ pull", shell=True)
rpiutil.logOutput("gitPull", outString)
| 25.857143
| 93
| 0.734807
| 22
| 181
| 6
| 0.681818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121547
| 181
| 6
| 94
| 30.166667
| 0.830189
| 0
| 0
| 0
| 0
| 0
| 0.127072
| 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
|
443b1d271947d7b6eb3da5910feab09dd6dd26a0
| 101
|
py
|
Python
|
settings.py
|
texit/texit
|
51c1ba34802964bd5d45cb1aa06d6b479820b5f8
|
[
"MIT"
] | 10
|
2015-03-25T04:43:35.000Z
|
2021-10-20T01:47:35.000Z
|
settings.py
|
texit/texit
|
51c1ba34802964bd5d45cb1aa06d6b479820b5f8
|
[
"MIT"
] | 3
|
2015-09-08T09:09:45.000Z
|
2021-03-25T14:41:23.000Z
|
settings.py
|
texit/texit
|
51c1ba34802964bd5d45cb1aa06d6b479820b5f8
|
[
"MIT"
] | 2
|
2021-03-25T14:39:33.000Z
|
2022-01-22T06:13:22.000Z
|
import os
PRODUCTION=os.getenv('PRODUCTION', False)
MIXPANEL_TOKEN=os.environ.get('MIXPANEL_TOKEN')
| 20.2
| 47
| 0.80198
| 14
| 101
| 5.642857
| 0.642857
| 0.329114
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059406
| 101
| 4
| 48
| 25.25
| 0.831579
| 0
| 0
| 0
| 0
| 0
| 0.237624
| 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
|
44455dfa372c94c588550129cc67e0400ffd8d31
| 801
|
py
|
Python
|
crawler/mongo_connect.py
|
crispim1411/extract_pdf
|
f058635a6d30f5bfb76a71bfacd0d9926e3b2842
|
[
"MIT"
] | null | null | null |
crawler/mongo_connect.py
|
crispim1411/extract_pdf
|
f058635a6d30f5bfb76a71bfacd0d9926e3b2842
|
[
"MIT"
] | null | null | null |
crawler/mongo_connect.py
|
crispim1411/extract_pdf
|
f058635a6d30f5bfb76a71bfacd0d9926e3b2842
|
[
"MIT"
] | null | null | null |
from pymongo import MongoClient
USER = "root"
PASS = "example"
DBNAME = "test_database"
COLLECTION = "pdf"
class DBConnect:
def __init__(self):
try:
self.client = MongoClient(username = USER, password = PASS, serverSelectionTimeoutMS = 2000)
self.db = self.client[DBNAME][COLLECTION]
self.client.server_info()
except:
print(f"Não foi possível conexão com banco de dados.")
def count(self, filter):
return self.db.count_documents(filter)
def insert_one(self, data):
return self.db.insert_one(data)
def insert_many(self, data):
return self.db.insert_many(data)
def find(self, filter):
return self.db.find(filter)
def clear_database(self):
return self.db.delete_many()
| 25.83871
| 104
| 0.642946
| 99
| 801
| 5.070707
| 0.494949
| 0.071713
| 0.119522
| 0.079681
| 0.191235
| 0.103586
| 0
| 0
| 0
| 0
| 0
| 0.0067
| 0.254682
| 801
| 30
| 105
| 26.7
| 0.834171
| 0
| 0
| 0
| 0
| 0
| 0.088639
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.26087
| false
| 0.086957
| 0.043478
| 0.217391
| 0.565217
| 0.043478
| 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
|
4468324ff36dfb4edc706a978f5a749306597140
| 121
|
py
|
Python
|
src/parade/tests/test_cmdline.py
|
bailaohe/parade
|
e2be18b7c5fa13136435e7a6a29399f9fa392870
|
[
"MIT"
] | 39
|
2017-03-07T06:20:03.000Z
|
2020-03-01T00:18:21.000Z
|
src/parade/tests/test_cmdline.py
|
bailaohe/parade
|
e2be18b7c5fa13136435e7a6a29399f9fa392870
|
[
"MIT"
] | 15
|
2017-03-07T08:21:21.000Z
|
2019-04-24T09:23:14.000Z
|
src/parade/tests/test_cmdline.py
|
bailaohe/parade
|
e2be18b7c5fa13136435e7a6a29399f9fa392870
|
[
"MIT"
] | 11
|
2017-03-11T07:13:43.000Z
|
2020-05-28T07:34:52.000Z
|
from parade.cmdline import execute
class TestCmdline(object):
def test_no_cmd(self):
assert execute() == 0
| 17.285714
| 34
| 0.694215
| 16
| 121
| 5.125
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010526
| 0.214876
| 121
| 6
| 35
| 20.166667
| 0.852632
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
446b6e671caa4984aad996279949f606825a2362
| 1,928
|
py
|
Python
|
msgraph/__init__.py
|
SWB-Dev/microsoft-graph-api
|
07fef0071852a697bdf0b0a28a4758214621d5b2
|
[
"MIT"
] | null | null | null |
msgraph/__init__.py
|
SWB-Dev/microsoft-graph-api
|
07fef0071852a697bdf0b0a28a4758214621d5b2
|
[
"MIT"
] | null | null | null |
msgraph/__init__.py
|
SWB-Dev/microsoft-graph-api
|
07fef0071852a697bdf0b0a28a4758214621d5b2
|
[
"MIT"
] | null | null | null |
from .graph.abstractions.IGraphResponse import IGraphResponse
from .graph.abstractions.IGraphAction import IGraphAction, IGraphDeleteAction, IGraphGetAction, IGraphPatchAction, IGraphPostAction, IGraphPutAction
from .graph.abstractions.IGraphFilter import IGraphFilter
from .graph.implementations.graph_filter import GraphFilter
from .graph.utilities.graph_response_base import GraphResponseBase
from .sharepoint.abstractions.ISharepointDocumentFolder import ISharepointDocumentFolder
from .sharepoint.abstractions.ISharepointDocumentLibrary import ISharepointDocumentLibrary
from .sharepoint.abstractions.ISharepointListItem import ISharepointListItem
from .sharepoint.abstractions.ISharepointList import ISharepointList
from .sharepoint.abstractions.ISharepointSite import ISharepointSite
from .sharepoint.abstractions.ISharepointGraphRequest import ISharepointGraphRequest
from .sharepoint.abstractions.ISharepointGraphClient import ISharepointGraphClient
from .sharepoint.utilities.sharepoint_connection import SharepointConnection
from .sharepoint.utilities.sharepoint_graph_client_base import SharepointGraphClientBase
from .sharepoint.implementations.listitem.sharepoint_listitem_batch_response import SharepointListItemBatchResponse
from .sharepoint.implementations.listitem.sharepoint_listitem_batch_actions import SharepointListItemBatchAction
from .sharepoint.implementations.listitem.sharepoint_listitem import SharepointListItem
from .sharepoint.implementations.list.sharepoint_list import SharepointList
from .sharepoint.implementations.documentlibrary.actions.sharepoint_document_library_file_put import SharepointDocumentLibraryFilePUT
from .sharepoint.implementations.documentlibrary.sharepoint_document_library import SharepointDocumentLibrary
from .sharepoint.implementations.site.sharepoint_site import SharepointSite
from .sharepoint.utilities.sharepoint_graph_client import SharepointGraphClient
| 58.424242
| 148
| 0.905602
| 169
| 1,928
| 10.189349
| 0.289941
| 0.138211
| 0.105691
| 0.057491
| 0.152729
| 0.152729
| 0.069686
| 0
| 0
| 0
| 0
| 0
| 0.053423
| 1,928
| 32
| 149
| 60.25
| 0.943562
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
44792d70f3219fdd58f78cd7dd659a9f4a7ef2e7
| 109
|
py
|
Python
|
examples/dialogpt_large.py
|
ibivibiv/openchat
|
b63c13018d5b6435fd17bcf1f84726e3c662dd41
|
[
"Apache-2.0"
] | null | null | null |
examples/dialogpt_large.py
|
ibivibiv/openchat
|
b63c13018d5b6435fd17bcf1f84726e3c662dd41
|
[
"Apache-2.0"
] | null | null | null |
examples/dialogpt_large.py
|
ibivibiv/openchat
|
b63c13018d5b6435fd17bcf1f84726e3c662dd41
|
[
"Apache-2.0"
] | 1
|
2021-05-20T13:00:45.000Z
|
2021-05-20T13:00:45.000Z
|
from openchat import OpenChat
if __name__ == '__main__':
OpenChat(model="dialogpt.large", device="cuda")
| 27.25
| 51
| 0.733945
| 13
| 109
| 5.538462
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12844
| 109
| 4
| 51
| 27.25
| 0.757895
| 0
| 0
| 0
| 0
| 0
| 0.236364
| 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
|
448e5884036be8fc4b3a889c3b52285c2fb4fc94
| 221
|
py
|
Python
|
awscfncli2/cli/utils/__init__.py
|
andyfase/awscfncli
|
467297a93b74ac094202af980140f93b531800fd
|
[
"MIT"
] | null | null | null |
awscfncli2/cli/utils/__init__.py
|
andyfase/awscfncli
|
467297a93b74ac094202af980140f93b531800fd
|
[
"MIT"
] | null | null | null |
awscfncli2/cli/utils/__init__.py
|
andyfase/awscfncli
|
467297a93b74ac094202af980140f93b531800fd
|
[
"MIT"
] | null | null | null |
from .pprint import StackPrettyPrinter, echo_pair, echo_pair_if_exists
from .deco import command_exception_handler
from .pager import custom_paginator
from .events import tail_stack_events, start_tail_stack_events_daemon
| 44.2
| 70
| 0.882353
| 32
| 221
| 5.6875
| 0.625
| 0.087912
| 0.164835
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085973
| 221
| 4
| 71
| 55.25
| 0.90099
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.25
| 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
|
4497e31cca3e84ae0c6dff094bb1d3d9b29d3ddf
| 262
|
py
|
Python
|
ch01/18-distribution-of-word-lengths.py
|
prinsmike/nltk_book
|
6badfa2e82cba7fc4f869a6c2c4922737ace8543
|
[
"Apache-2.0"
] | 2
|
2015-01-06T11:37:18.000Z
|
2015-11-07T11:14:02.000Z
|
ch01/18-distribution-of-word-lengths.py
|
prinsmike/nltk_book
|
6badfa2e82cba7fc4f869a6c2c4922737ace8543
|
[
"Apache-2.0"
] | null | null | null |
ch01/18-distribution-of-word-lengths.py
|
prinsmike/nltk_book
|
6badfa2e82cba7fc4f869a6c2c4922737ace8543
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python2.7
from nltk.book import *
print [len(w) for w in text1]
print
fdist = FreqDist([len(w) for w in text1])
print fdist
print
print fdist.keys()
print
print fdist.items()
print
print fdist.max()
print
print fdist[3]
print
print fdist.freq(3)
| 14.555556
| 41
| 0.729008
| 48
| 262
| 3.979167
| 0.458333
| 0.366492
| 0.39267
| 0.08377
| 0.26178
| 0.26178
| 0.26178
| 0.26178
| 0
| 0
| 0
| 0.026786
| 0.145038
| 262
| 18
| 42
| 14.555556
| 0.825893
| 0.087786
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.066667
| null | null | 0.866667
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
9220f258de50841dbc2f6e279da2949128479177
| 2,470
|
py
|
Python
|
polliwog/box/box.py
|
algrs/polliwog
|
faa6531e8e2f7d0b52e928d64a4c1914199c4023
|
[
"BSD-2-Clause"
] | null | null | null |
polliwog/box/box.py
|
algrs/polliwog
|
faa6531e8e2f7d0b52e928d64a4c1914199c4023
|
[
"BSD-2-Clause"
] | null | null | null |
polliwog/box/box.py
|
algrs/polliwog
|
faa6531e8e2f7d0b52e928d64a4c1914199c4023
|
[
"BSD-2-Clause"
] | null | null | null |
import numpy as np
import vg
class Box(object):
"""
An axis-aligned cuboid.
"""
def __init__(self, origin, size):
"""
origin: The x, y, z coordinate of the origin.
size: A sequence containing the width (dx), height (dy), and
depth (dz).
"""
vg.shape.check(locals(), "origin", (3,))
vg.shape.check(locals(), "size", (3,))
if any(np.less(size, 0)):
raise ValueError("Shape should be zero or positive")
self.origin = origin
self.size = size
@classmethod
def from_points(cls, points):
k = vg.shape.check(locals(), "points", (-1, 3))
if k == 0:
raise ValueError("Need at least 1 point")
return cls(np.min(points, axis=0), np.ptp(points, axis=0))
@property
def ranges(self):
"""
Return ranges for each coordinate axis as a 3x2 numpy array.
"""
ranges = np.array([self.origin, self.origin + self.size]).T
# ranges is almost, but not quite what we want, since it might
# include mins which are greater than maxes, and vice versa.
return np.vstack([ranges.min(axis=1), ranges.max(axis=1)]).T
@property
def min_x(self):
return self.origin[0]
@property
def min_y(self):
return self.origin[1]
@property
def min_z(self):
return self.origin[2]
@property
def max_x(self):
return self.origin[0] + self.size[0]
@property
def max_y(self):
return self.origin[1] + self.size[1]
@property
def max_z(self):
return self.origin[2] + self.size[2]
@property
def mid_x(self):
return self.origin[0] + self.size[0] / 2
@property
def mid_y(self):
return self.origin[1] + self.size[1] / 2
@property
def mid_z(self):
return self.origin[2] + self.size[2] / 2
@property
def width(self):
return self.size[0]
@property
def height(self):
return self.size[1]
@property
def depth(self):
return self.size[2]
@property
def center_point(self):
return self.origin + 0.5 * self.size
@property
def floor_point(self):
return self.origin + [0.5, 0.0, 0.5] * self.size
@property
def volume(self):
return np.prod(self.size)
@property
def surface_area(self):
l, h, w = self.size
return 2 * (w * l + h * l + h * w)
| 23.084112
| 70
| 0.559919
| 347
| 2,470
| 3.936599
| 0.293948
| 0.136896
| 0.143485
| 0.161054
| 0.321376
| 0.253294
| 0.175695
| 0.136164
| 0.136164
| 0
| 0
| 0.02525
| 0.310526
| 2,470
| 106
| 71
| 23.301887
| 0.776864
| 0.131984
| 0
| 0.246377
| 0
| 0
| 0.033463
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.275362
| false
| 0
| 0.028986
| 0.217391
| 0.57971
| 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
|
9222b5b264b7b4453d39f1aa28b86cb8d02ceab8
| 85
|
py
|
Python
|
alone/apps.py
|
jbbqqf/okapi
|
3db29ef1e15685fae304190bd176f75c4e367d03
|
[
"BSD-3-Clause"
] | null | null | null |
alone/apps.py
|
jbbqqf/okapi
|
3db29ef1e15685fae304190bd176f75c4e367d03
|
[
"BSD-3-Clause"
] | null | null | null |
alone/apps.py
|
jbbqqf/okapi
|
3db29ef1e15685fae304190bd176f75c4e367d03
|
[
"BSD-3-Clause"
] | null | null | null |
from django.apps import AppConfig
class AloneConfig(AppConfig):
name = 'alone'
| 14.166667
| 33
| 0.741176
| 10
| 85
| 6.3
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 85
| 5
| 34
| 17
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 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
|
923d9a852ffde82f6f8d8bdf861196f3c3cc5ba6
| 19
|
py
|
Python
|
fastapi_mvc/cli/commands/__init__.py
|
julianbrooks/fastapi-mvc-template
|
8fef3cb671254987f136415dfc4d8325334ce38e
|
[
"MIT"
] | 23
|
2021-07-27T20:42:18.000Z
|
2021-12-14T00:02:05.000Z
|
fastapi_mvc/cli/commands/__init__.py
|
julianbrooks/fastapi-mvc-template
|
8fef3cb671254987f136415dfc4d8325334ce38e
|
[
"MIT"
] | 5
|
2021-07-27T14:10:24.000Z
|
2021-12-11T20:06:43.000Z
|
fastapi_mvc/cli/commands/__init__.py
|
julianbrooks/fastapi-mvc-template
|
8fef3cb671254987f136415dfc4d8325334ce38e
|
[
"MIT"
] | 5
|
2021-09-07T18:56:46.000Z
|
2021-12-14T00:02:20.000Z
|
"""fastapi-mvc."""
| 9.5
| 18
| 0.526316
| 2
| 19
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 19
| 1
| 19
| 19
| 0.555556
| 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
|
92675424d46645d2a146a9839588986b82396d3a
| 57
|
py
|
Python
|
tests/unit/libraries/psycopg2_/__init__.py
|
hackerrdave/signalfx-python-tracing
|
55f50c7b71cea642bb18733e452988a32f899fbb
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/libraries/psycopg2_/__init__.py
|
hackerrdave/signalfx-python-tracing
|
55f50c7b71cea642bb18733e452988a32f899fbb
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/libraries/psycopg2_/__init__.py
|
hackerrdave/signalfx-python-tracing
|
55f50c7b71cea642bb18733e452988a32f899fbb
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (C) 2019 SignalFx, Inc. All rights reserved.
| 28.5
| 56
| 0.736842
| 8
| 57
| 5.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 0.157895
| 57
| 1
| 57
| 57
| 0.791667
| 0.947368
| 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
|
929e8a297535b5df5b10652ea85893f4599090b1
| 37
|
py
|
Python
|
bballstats/bballreference/__init__.py
|
ahmedlawi92/basketball-stats
|
6a7415a9f04ebf3bef3cf502aa8cee9490e9ca3e
|
[
"Apache-2.0"
] | 1
|
2016-01-07T18:22:17.000Z
|
2016-01-07T18:22:17.000Z
|
bballstats/statsnba/__init__.py
|
ahmedlawi92/basketball-stats
|
6a7415a9f04ebf3bef3cf502aa8cee9490e9ca3e
|
[
"Apache-2.0"
] | null | null | null |
bballstats/statsnba/__init__.py
|
ahmedlawi92/basketball-stats
|
6a7415a9f04ebf3bef3cf502aa8cee9490e9ca3e
|
[
"Apache-2.0"
] | null | null | null |
__author__ = 'ahmedlawi92@gmail.com'
| 18.5
| 36
| 0.783784
| 4
| 37
| 6.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0.081081
| 37
| 1
| 37
| 37
| 0.676471
| 0
| 0
| 0
| 0
| 0
| 0.567568
| 0.567568
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
92a602e634cbf8b66d28f36eb0d1616f06ba239c
| 141
|
py
|
Python
|
service-workers/service-worker/resources/mime-type-worker.py
|
meyerweb/wpt
|
f04261533819893c71289614c03434c06856c13e
|
[
"BSD-3-Clause"
] | 14,668
|
2015-01-01T01:57:10.000Z
|
2022-03-31T23:33:32.000Z
|
service-workers/service-worker/resources/mime-type-worker.py
|
meyerweb/wpt
|
f04261533819893c71289614c03434c06856c13e
|
[
"BSD-3-Clause"
] | 7,642
|
2018-05-28T09:38:03.000Z
|
2022-03-31T20:55:48.000Z
|
service-workers/service-worker/resources/mime-type-worker.py
|
meyerweb/wpt
|
f04261533819893c71289614c03434c06856c13e
|
[
"BSD-3-Clause"
] | 5,941
|
2015-01-02T11:32:21.000Z
|
2022-03-31T16:35:46.000Z
|
def main(request, response):
if b'mime' in request.GET:
return [(b'Content-Type', request.GET[b'mime'])], b""
return [], b""
| 28.2
| 61
| 0.58156
| 21
| 141
| 3.904762
| 0.571429
| 0.121951
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212766
| 141
| 4
| 62
| 35.25
| 0.738739
| 0
| 0
| 0
| 0
| 0
| 0.141844
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
92b1b57a1226bdd2a4d1e8e20b93b11aa192a7a7
| 147
|
py
|
Python
|
excript/lista2/q5.py
|
victorers1/anotacoes_curso_python
|
c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e
|
[
"MIT"
] | null | null | null |
excript/lista2/q5.py
|
victorers1/anotacoes_curso_python
|
c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e
|
[
"MIT"
] | null | null | null |
excript/lista2/q5.py
|
victorers1/anotacoes_curso_python
|
c4ef56bcfc7e3baa3944fc2962e8217c6d720b0e
|
[
"MIT"
] | null | null | null |
idadeM = int(input("Bote a idade da mãe: "))
idadeF = int(input("Bote a idade do filho(a): "))
print("A mãe pariu com {}".format(idadeM - idadeF))
| 36.75
| 51
| 0.653061
| 25
| 147
| 3.84
| 0.6
| 0.166667
| 0.25
| 0.270833
| 0.375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.156463
| 147
| 4
| 51
| 36.75
| 0.774194
| 0
| 0
| 0
| 0
| 0
| 0.439189
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 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
|
2b9101d25193beda95fa43a9fd25f56fd07a652e
| 20
|
py
|
Python
|
SoftLayer/CLI/file/__init__.py
|
dvzrv/softlayer-python
|
9a5f6c6981bcc370084537b4d1769383499ce90d
|
[
"MIT"
] | 126
|
2015-01-05T05:09:22.000Z
|
2021-07-02T00:16:35.000Z
|
SoftLayer/CLI/file/__init__.py
|
dvzrv/softlayer-python
|
9a5f6c6981bcc370084537b4d1769383499ce90d
|
[
"MIT"
] | 969
|
2015-01-05T15:55:31.000Z
|
2022-03-31T19:55:20.000Z
|
SoftLayer/CLI/file/__init__.py
|
dvzrv/softlayer-python
|
9a5f6c6981bcc370084537b4d1769383499ce90d
|
[
"MIT"
] | 176
|
2015-01-22T11:23:40.000Z
|
2022-02-11T13:16:58.000Z
|
"""File Storage."""
| 10
| 19
| 0.55
| 2
| 20
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 20
| 1
| 20
| 20
| 0.611111
| 0.65
| 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
|
2b92e0f53aa0b5e6265191a29579f41ffd9b0529
| 80
|
py
|
Python
|
src/io/__init__.py
|
zeou1/maggot_models
|
4e1b518c2981ab1ca9607099c3813e8429d94ca4
|
[
"BSD-3-Clause"
] | null | null | null |
src/io/__init__.py
|
zeou1/maggot_models
|
4e1b518c2981ab1ca9607099c3813e8429d94ca4
|
[
"BSD-3-Clause"
] | null | null | null |
src/io/__init__.py
|
zeou1/maggot_models
|
4e1b518c2981ab1ca9607099c3813e8429d94ca4
|
[
"BSD-3-Clause"
] | null | null | null |
from .io import savefig, saveobj, saveskels, savecsv, savelol, readlol, readcsv
| 40
| 79
| 0.7875
| 10
| 80
| 6.3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 80
| 1
| 80
| 80
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
2bb20e142e993ce58e0e9a93991675a56934d79e
| 77
|
py
|
Python
|
src/__init__.py
|
Apostolos-Delis/Tensorflow-Framework
|
abafcde025e0d5e5c3be77cb29ff600fee11a697
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
Apostolos-Delis/Tensorflow-Framework
|
abafcde025e0d5e5c3be77cb29ff600fee11a697
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
Apostolos-Delis/Tensorflow-Framework
|
abafcde025e0d5e5c3be77cb29ff600fee11a697
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# coding: utf8
if __name__ == "__main__":
pass
| 9.625
| 26
| 0.623377
| 10
| 77
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 0.220779
| 77
| 7
| 27
| 11
| 0.633333
| 0.441558
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
920fc81ec01c5ca26005bca215acf9ed0c09d726
| 1,885
|
py
|
Python
|
fpl_reader/cool_io.py
|
rr-/fpl_reader
|
d4099a597a3eb2fe18f410334639e3189eac24af
|
[
"MIT"
] | 18
|
2015-11-12T17:34:04.000Z
|
2022-01-13T14:42:00.000Z
|
fpl_reader/cool_io.py
|
rr-/fpl_reader
|
d4099a597a3eb2fe18f410334639e3189eac24af
|
[
"MIT"
] | 1
|
2015-11-13T18:14:59.000Z
|
2015-11-13T18:14:59.000Z
|
fpl_reader/cool_io.py
|
rr-/fpl_reader
|
d4099a597a3eb2fe18f410334639e3189eac24af
|
[
"MIT"
] | 1
|
2015-11-13T18:02:22.000Z
|
2015-11-13T18:02:22.000Z
|
import io
import struct
class CoolIO:
def __init__(self, data=None):
self.file = io.BytesIO(data)
def __enter__(self):
self.file.__enter__()
return self
def __exit__(self, exc_type, exc_value, traceback):
self.file.__exit__(exc_type, exc_value, traceback)
def size(self):
pos = self.file.tell()
self.file.seek(0, io.SEEK_END)
size = self.file.tell()
self.file.seek(pos, io.SEEK_SET)
return size
def tell(self):
return self.file.tell()
def seek(self, *args):
self.file.seek(*args)
return self
def eof(self):
return self.tell() == self.size()
def skip(self, num):
self.file.seek(num, io.SEEK_CUR)
return self
def read_to_zero(self):
out = b''
byte = self.file.read(1)
num = 0
while byte != b"\x00":
out += byte
byte = self.file.read(1)
if num > 4096:
raise RuntimeError('String too long (corrupt file?)')
num += 1
return out
def read_to_eof(self):
return self.file.read()
def read(self, *args):
return self.file.read(*args)
def read_u8(self):
return struct.unpack('B', self.file.read(1))[0]
def read_u16_le(self):
return struct.unpack('<H', self.file.read(2))[0]
def read_u32_le(self):
return struct.unpack('<I', self.file.read(4))[0]
def read_u64_le(self):
return struct.unpack('<Q', self.file.read(8))[0]
def read_s32_le(self):
return struct.unpack('<i', self.file.read(4))[0]
def read_s64_le(self):
return struct.unpack('<q', self.file.read(8))[0]
def read_f32(self):
return struct.unpack('f', self.file.read(4))[0]
def read_f64(self):
return struct.unpack('d', self.file.read(8))[0]
| 24.166667
| 69
| 0.566048
| 271
| 1,885
| 3.774908
| 0.243542
| 0.172043
| 0.140762
| 0.172043
| 0.364614
| 0.247312
| 0.200391
| 0.179863
| 0.179863
| 0.179863
| 0
| 0.03139
| 0.290186
| 1,885
| 77
| 70
| 24.480519
| 0.733184
| 0
| 0
| 0.087719
| 0
| 0
| 0.025464
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.035088
| 0.210526
| 0.684211
| 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
|
ecfdcf3e278841191e1fcf03a0d148c5dc48312e
| 859
|
py
|
Python
|
feeds/apps.py
|
lesspointless/Shakal-NG
|
eee491af94527228735c2bca7644605effd74b37
|
[
"MIT"
] | null | null | null |
feeds/apps.py
|
lesspointless/Shakal-NG
|
eee491af94527228735c2bca7644605effd74b37
|
[
"MIT"
] | null | null | null |
feeds/apps.py
|
lesspointless/Shakal-NG
|
eee491af94527228735c2bca7644605effd74b37
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
from .register import FeedsRegister
class FeedsConfig(AppConfig):
name = 'feeds'
verbose_name = 'Feedy'
def ready(self):
from article.feeds import ArticleFeed
from blog.feeds import PostFeed
from forum.feeds import TopicFeed
from news.feeds import NewsFeed
from comments.feeds import CommentFeed
from desktops.feeds import DesktopFeed
from tweets.feeds import TweetFeed
FeedsRegister.register_standard_feed(ArticleFeed())
FeedsRegister.register_standard_feed(TopicFeed())
FeedsRegister.register_standard_feed(NewsFeed())
FeedsRegister.register_standard_feed(PostFeed())
FeedsRegister.register_standard_feed(CommentFeed())
FeedsRegister.register_standard_feed(DesktopFeed())
FeedsRegister.register_standard_feed(TweetFeed())
| 29.62069
| 53
| 0.80908
| 98
| 859
| 6.887755
| 0.387755
| 0.114074
| 0.300741
| 0.342222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001316
| 0.11525
| 859
| 28
| 54
| 30.678571
| 0.886842
| 0.024447
| 0
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0
| 4
|
ecfe7aadde466afb1e6be43e4e2b3bb3f13cef4c
| 12,547
|
py
|
Python
|
theano/typed_list/basic.py
|
mrgloom/Theano
|
018c7fa9a292858486b92e03a5d0a36cb3e45e1f
|
[
"BSD-3-Clause"
] | 1
|
2020-12-27T13:50:59.000Z
|
2020-12-27T13:50:59.000Z
|
theano/typed_list/basic.py
|
mrgloom/Theano
|
018c7fa9a292858486b92e03a5d0a36cb3e45e1f
|
[
"BSD-3-Clause"
] | null | null | null |
theano/typed_list/basic.py
|
mrgloom/Theano
|
018c7fa9a292858486b92e03a5d0a36cb3e45e1f
|
[
"BSD-3-Clause"
] | null | null | null |
from type import TypedListType
import theano
from theano.gof import Apply, Constant, Op, Variable
from theano.tensor.type_other import SliceType
from theano import tensor as T
import numpy
class _typed_list_py_operators:
def __getitem__(self, index):
return getitem(self, index)
def append(self, toAppend):
return append(self, toAppend)
def extend(self, toAppend):
return extend(self, toAppend)
def insert(self, index, toInsert):
return insert(self, index, toInsert)
def remove(self, toRemove):
return remove(self, toRemove)
def reverse(self):
return reverse(self)
def count(self, elem):
return count(self, elem)
#name "index" is already used by an attribute
def ind(self, elem):
return index_(self, elem)
ttype = property(lambda self: self.type.ttype)
class TypedListVariable(_typed_list_py_operators, Variable):
"""
Subclass to add the typed list operators to the basic `Variable` class.
"""
TypedListType.Variable = TypedListVariable
class GetItem(Op):
"""
get specified slice of a typed list
"""
def __eq__(self, other):
return type(self) == type(other)
def __hash__(self):
return hash(type(self))
def make_node(self, x, index):
assert isinstance(x.type, TypedListType)
if not isinstance(index, Variable):
if isinstance(index, slice):
index = Constant(SliceType(), index)
return Apply(self, [x, index], [x.type()])
else:
index = T.constant(index, ndim=0, dtype='int64')
return Apply(self, [x, index], [x.ttype()])
if isinstance(index.type, SliceType):
return Apply(self, [x, index], [x.type()])
elif isinstance(index, T.TensorVariable) and index.ndim == 0:
assert index.dtype == 'int64'
return Apply(self, [x, index], [x.ttype()])
else:
raise TypeError('Expected scalar or slice as index.')
def perform(self, node, (x, index), (out, )):
if not isinstance(index, slice):
index = int(index)
out[0] = x[index]
def __str__(self):
return self.__class__.__name__
def c_code(self, node, name, inp, out, sub):
x_name, index = inp[0], inp[1]
output_name = out[0]
fail = sub['fail']
return """
%(output_name)s = (typeof %(output_name)s) PyList_GetItem( (PyObject*) %(x_name)s, *((npy_int64 *) PyArray_DATA(%(index)s)));
if(%(output_name)s == NULL){
%(fail)s
}
Py_INCREF(%(output_name)s);
""" % locals()
def c_code_cache_version(self):
return (1,)
getitem = GetItem()
class Append(Op):
"""
#append an element at the end of another list
"""
def __init__(self, inplace=False):
self.inplace = inplace
if self.inplace:
self.destroy_map = {0: [0]}
def __eq__(self, other):
return type(self) == type(other) and self.inplace == other.inplace
def __hash__(self):
return hash(type(self)) ^ hash(self.inplace)
def make_node(self, x, toAppend):
assert isinstance(x.type, TypedListType)
assert x.ttype == toAppend.type
return Apply(self, [x, toAppend], [x.type()])
def perform(self, node, (x, toAppend), (out, )):
if not self.inplace:
out[0] = list(x)
else:
out[0] = x
out[0].append(toAppend)
def __str__(self):
return self.__class__.__name__
def c_code(self, node, name, inp, out, sub):
x_name, toAppend = inp[0], inp[1]
output_name = out[0]
fail = sub['fail']
if not self.inplace:
init = """
%(output_name)s = (PyListObject*) PyList_GetSlice((PyObject*) %(x_name)s, 0, PyList_GET_SIZE((PyObject*) %(x_name)s)) ;
""" % locals()
else:
init = """
%(output_name)s = %(x_name)s;
""" % locals()
return init + """
if(%(output_name)s==NULL){
%(fail)s
};
if(PyList_Append( (PyObject*) %(output_name)s,(PyObject*) %(toAppend)s)){
%(fail)s
};
Py_INCREF(%(output_name)s);
""" % locals()
def c_code_cache_version(self):
return (1,)
append = Append()
class Extend(Op):
"""
append all element of a list at the end of another list
"""
def __init__(self, inplace=False):
self.inplace = inplace
if self.inplace:
self.destroy_map = {0: [0]}
def __eq__(self, other):
return type(self) == type(other) and self.inplace == other.inplace
def __hash__(self):
return hash(type(self)) ^ hash(self.inplace)
def make_node(self, x, toAppend):
assert isinstance(x.type, TypedListType)
assert x.type == toAppend.type
return Apply(self, [x, toAppend], [x.type()])
def perform(self, node, (x, toAppend), (out, )):
if not self.inplace:
out[0] = list(x)
else:
out[0] = x
out[0].extend(toAppend)
def __str__(self):
return self.__class__.__name__
def c_code(self, node, name, inp, out, sub):
x_name, toAppend = inp[0], inp[1]
output_name = out[0]
fail = sub['fail']
if not self.inplace:
init = """
%(output_name)s = (PyListObject*) PyList_GetSlice((PyObject*) %(x_name)s, 0, PyList_GET_SIZE((PyObject*) %(x_name)s)) ;
""" % locals()
else:
init = """
%(output_name)s = %(x_name)s;
""" % locals()
return init + """
int i =0;
int length = PyList_GET_SIZE((PyObject*) %(toAppend)s);
if(%(output_name)s==NULL){
%(fail)s
};
for(i; i < length; i++){
if(PyList_Append( (PyObject*) %(output_name)s,(PyObject*) PyList_GetItem((PyObject*) %(toAppend)s,i))==-1){
%(fail)s
};
}
Py_INCREF(%(output_name)s);
""" % locals()
def c_code_cache_version(self):
return (1,)
extend = Extend()
class Insert(Op):
def __init__(self, inplace=False):
self.inplace = inplace
if self.inplace:
self.destroy_map = {0: [0]}
def __eq__(self, other):
return type(self) == type(other) and self.inplace == other.inplace
def __hash__(self):
return hash(type(self)) ^ hash(self.inplace)
def make_node(self, x, index, toInsert):
assert isinstance(x.type, TypedListType)
assert x.ttype == toInsert.type
if not isinstance(index, Variable):
index = T.constant(index, ndim=0, dtype='int64')
else:
assert index.dtype == 'int64'
assert isinstance(index, T.TensorVariable) and index.ndim == 0
return Apply(self, [x, index, toInsert], [x.type()])
def perform(self, node, (x, index, toInsert), (out, )):
if not self.inplace:
out[0] = list(x)
else:
out[0] = x
out[0].insert(index, toInsert)
def __str__(self):
return self.__class__.__name__
def c_code(self, node, name, inp, out, sub):
x_name, index, toInsert = inp[0], inp[1], inp[2]
output_name = out[0]
fail = sub['fail']
if not self.inplace:
init = """
%(output_name)s = (PyListObject*) PyList_GetSlice((PyObject*) %(x_name)s, 0, PyList_GET_SIZE((PyObject*) %(x_name)s)) ;
""" % locals()
else:
init = """
%(output_name)s = %(x_name)s;
""" % locals()
return init + """
if(%(output_name)s==NULL){
%(fail)s
};
if(PyList_Insert((PyObject*) %(output_name)s, *((npy_int64 *) PyArray_DATA(%(index)s)), (PyObject*) %(toInsert)s)==-1){
%(fail)s
};
Py_INCREF(%(output_name)s);
""" % locals()
def c_code_cache_version(self):
return (1,)
insert = Insert()
class Remove(Op):
def __init__(self, inplace=False):
self.inplace = inplace
if self.inplace:
self.destroy_map = {0: [0]}
def __eq__(self, other):
return type(self) == type(other) and self.inplace == other.inplace
def __hash__(self):
return hash(type(self)) ^ hash(self.inplace)
def make_node(self, x, toRemove):
assert isinstance(x.type, TypedListType)
assert x.ttype == toRemove.type
return Apply(self, [x, toRemove], [x.type()])
def perform(self, node, (x, toRemove), (out, )):
if not self.inplace:
out[0] = list(x)
else:
out[0] = x
"""
inelegant workaround for ValueError: The truth value of an
array with more than one element is ambiguous. Use a.any() or a.all()
being thrown when trying to remove a matrix from a matrices list
"""
for y in range(out[0].__len__()):
if node.inputs[0].ttype.values_eq(out[0][y], toRemove):
del out[0][y]
break
def __str__(self):
return self.__class__.__name__
remove = Remove()
class Reverse(Op):
def __init__(self, inplace=False):
self.inplace = inplace
if self.inplace:
self.destroy_map = {0: [0]}
def __eq__(self, other):
return type(self) == type(other) and self.inplace == other.inplace
def __hash__(self):
return hash(type(self)) ^ hash(self.inplace)
def make_node(self, x):
assert isinstance(x.type, TypedListType)
return Apply(self, [x], [x.type()])
def perform(self, node, inp, (out, )):
if not self.inplace:
out[0] = list(inp[0])
else:
out[0] = inp[0]
out[0].reverse()
def __str__(self):
return self.__class__.__name__
def c_code(self, node, name, inp, out, sub):
x_name = inp[0]
output_name = out[0]
fail = sub['fail']
if not self.inplace:
init = """
%(output_name)s = (PyListObject*) PyList_GetSlice((PyObject*) %(x_name)s, 0, PyList_GET_SIZE((PyObject*) %(x_name)s)) ;
""" % locals()
else:
init = """
%(output_name)s = %(x_name)s;
""" % locals()
return init + """
if(%(output_name)s==NULL){
%(fail)s
};
if(PyList_Reverse((PyObject*) %(output_name)s)==-1){
%(fail)s
};
Py_INCREF(%(output_name)s);
""" % locals()
def c_code_cache_version(self):
return (1,)
reverse = Reverse()
class Index(Op):
def __eq__(self, other):
return type(self) == type(other)
def __hash__(self):
return hash(type(self))
def make_node(self, x, elem):
assert isinstance(x.type, TypedListType)
assert x.ttype == elem.type
return Apply(self, [x, elem], [T.scalar()])
def perform(self, node, (x, elem), (out, )):
"""
inelegant workaround for ValueError: The truth value of an
array with more than one element is ambiguous. Use a.any() or a.all()
being thrown when trying to remove a matrix from a matrices list
"""
for y in range(len(x)):
if node.inputs[0].ttype.values_eq(x[y], elem):
out[0] = numpy.asarray(y, dtype=theano.config.floatX)
break
def __str__(self):
return self.__class__.__name__
index_ = Index()
class Count(Op):
def __eq__(self, other):
return type(self) == type(other)
def __hash__(self):
return hash(type(self))
def make_node(self, x, elem):
assert isinstance(x.type, TypedListType)
assert x.ttype == elem.type
return Apply(self, [x, elem], [T.scalar()])
def perform(self, node, (x, elem), (out, )):
"""
inelegant workaround for ValueError: The truth value of an
array with more than one element is ambiguous. Use a.any() or a.all()
being thrown when trying to remove a matrix from a matrices list
"""
out[0] = 0
for y in range(len(x)):
if node.inputs[0].ttype.values_eq(x[y], elem):
out[0] += 1
out[0] = numpy.asarray(out[0], dtype=theano.config.floatX)
def __str__(self):
return self.__class__.__name__
count = Count()
| 28.451247
| 133
| 0.552084
| 1,564
| 12,547
| 4.230179
| 0.095908
| 0.027963
| 0.039903
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| 0.716747
| 0.707376
| 0.683948
| 0.606862
| 0.595677
| 0
| 0.009684
| 0.308679
| 12,547
| 440
| 134
| 28.515909
| 0.753055
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| 0.194312
| 0.061909
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| null | null | 0
| 0.019048
| null | null | 0
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| 0
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|
0
| 4
|
a6074c96f544e2815b306648a7dcaf5015f66d30
| 41
|
py
|
Python
|
docs/__init__.py
|
jmtaysom/idom
|
d2a569d27f915d3b2b1fc6eb8eef9aca3a6d9343
|
[
"MIT"
] | 55
|
2019-02-28T23:58:42.000Z
|
2020-07-14T22:01:45.000Z
|
docs/__init__.py
|
jmtaysom/idom
|
d2a569d27f915d3b2b1fc6eb8eef9aca3a6d9343
|
[
"MIT"
] | 72
|
2019-04-04T18:46:30.000Z
|
2020-06-24T02:47:57.000Z
|
docs/__init__.py
|
jmtaysom/idom
|
d2a569d27f915d3b2b1fc6eb8eef9aca3a6d9343
|
[
"MIT"
] | 7
|
2019-04-02T17:53:30.000Z
|
2020-06-23T16:17:58.000Z
|
from .app import run
__all__ = ["run"]
| 8.2
| 20
| 0.634146
| 6
| 41
| 3.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.219512
| 41
| 4
| 21
| 10.25
| 0.6875
| 0
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| 0
| 0
| 0
| 0.073171
| 0
| 0
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| null | 0
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| 0
|
0
| 4
|
a60c41ef5ae3c40eca2b06f5b8224d107b4f89b2
| 177,616
|
py
|
Python
|
gdal2tile-mapslicer/mapslicer/icons.py
|
13903596952/gdal2tiles
|
5bfb8373da4776cab57e0cc58e7422fcedbe2315
|
[
"Apache-2.0"
] | 44
|
2015-03-20T23:12:34.000Z
|
2022-01-09T16:00:19.000Z
|
mapslicer/icons.py
|
himaps/mapslicer
|
1c60a2d4d3c0296424b2421e09001fcf32075c6e
|
[
"BSD-3-Clause"
] | 12
|
2015-02-16T20:41:25.000Z
|
2021-05-01T05:21:34.000Z
|
mapslicer/icons.py
|
kalxas/maptiler
|
1c60a2d4d3c0296424b2421e09001fcf32075c6e
|
[
"BSD-3-Clause"
] | 20
|
2015-02-16T20:25:50.000Z
|
2021-11-02T12:11:11.000Z
|
#----------------------------------------------------------------------
# This file was generated by /System/Library/Frameworks/Python.framework/Versions/2.5/Extras/lib/python/wx-2.8-mac-unicode/wx/tools/img2py.py
#
# img2py.py -n Icon -i ../resources/mapslicer.ico icons.py
# img2py.py -a -n Icon140 ../resources/icon140.png icons.py
#
from wx import ImageFromStream, BitmapFromImage, EmptyIcon
import cStringIO, zlib
def getIconData():
return zlib.decompress(
'x\xda\x00\x8a@u\xbf\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x80\x00\
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\x00\xe3\x80\xefC\xbc\xf1w\x94\xfb\xff\x0byd\x00\xc0\xdd \xf8\x8er\xff\xe4\
\xc8\x9b\x02\x80\xef\xc8\x9f\\y\xf3z\x9e\xbf#\x7f"\xe5\xff\x03l\xb3\x92^iwi^\
\x00\x00\x00\x00IEND\xaeB`\x82\x82\xd9\xd6\x97' )
def getIconBitmap():
return BitmapFromImage(getIconImage())
def getIconImage():
stream = cStringIO.StringIO(getIconData())
return ImageFromStream(stream)
def getIconIcon():
icon = EmptyIcon()
icon.CopyFromBitmap(getIconBitmap())
return icon
#----------------------------------------------------------------------
def getIcon140Data():
return zlib.decompress(
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g\xc9\xacZ[:\x95\x9e\x14\xdbw\xb0\xa1$\xa7.\xdb(c\x11\xf1\x7f\xf6\x99\xc1/' )
def getIcon140Bitmap():
return BitmapFromImage(getIcon140Image())
def getIcon140Image():
stream = cStringIO.StringIO(getIcon140Data())
return ImageFromStream(stream)
#----------------------------------------------------------------------
def getThrobberData():
return zlib.decompress(
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\xfe\x03\xfe\xc3\x0fq\xe2\xd5\x8c\xe7\x16\xc9\xee\xd0\xf7}\xbe\xe4\xbc\xc33\
\x10E\x11\x1f\xf4Gx\xe4X\x8f\xf3\x880\x8f\xf3\xc8\xb1F\xf9\xff\x01\x9c\xc3&\
\xeb\xa9A\xd7\xde\x00\x00\x00\x00IEND\xaeB`\x820\x86\xbc\xe8' )
def getThrobberBitmap():
return BitmapFromImage(getThrobberImage())
def getThrobberImage():
stream = cStringIO.StringIO(getThrobberData())
return ImageFromStream(stream)
#----------------------------------------------------------------------
def getWhite16Data():
return zlib.decompress(
"x\xda\xeb\x0c\xf0s\xe7\xe5\x92\xe2b``\xe0\xf5\xf4p\t\x02\xd2\x02 \xcc\xc1\
\x04$'L\xcc0\x03R\xcc\xc5N\x9e!\x1c\x1c\x1c\xb7\x1f\xfa?\x00r%=]\x1cC4&&\xff\
\xf9\xff\xdf\x9eY\xb3\xa1S\xe5\xeab)7S\x1eM^\x86\xd0\\f\xd9'nQB@E\x0c\x9e\
\xae~.\xeb\x9c\x12\x9a\x00\xe5\x18\x17\xc1" )
def getWhite16Bitmap():
return BitmapFromImage(getWhite16Image())
def getWhite16Image():
stream = cStringIO.StringIO(getWhite16Data())
return ImageFromStream(stream)
| 75.452846
| 141
| 0.715572
| 39,569
| 177,616
| 3.206449
| 0.166646
| 0.002175
| 0.001206
| 0.000662
| 0.003586
| 0.002167
| 0.001742
| 0.001742
| 0.001742
| 0.001742
| 0
| 0.226665
| 0.015235
| 177,616
| 2,353
| 142
| 75.484913
| 0.498714
| 0.003012
| 0
| 0.003435
| 1
| 0.638471
| 0.00179
| 0.001655
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005582
| false
| 0
| 0.000859
| 0.003435
| 0.012022
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a69dbeca70a8980e593ff9532544260198337d02
| 270
|
py
|
Python
|
appengine_config.py
|
peterlie/pystart-gae
|
b0812c119998f5a4b07615a1ffb2b9363f33b689
|
[
"MIT"
] | null | null | null |
appengine_config.py
|
peterlie/pystart-gae
|
b0812c119998f5a4b07615a1ffb2b9363f33b689
|
[
"MIT"
] | null | null | null |
appengine_config.py
|
peterlie/pystart-gae
|
b0812c119998f5a4b07615a1ffb2b9363f33b689
|
[
"MIT"
] | null | null | null |
from google.appengine.ext import vendor
# Add any libraries installed in the "lib" folder.
vendor.add('lib')
def webapp_add_wsgi_middleware(app):
from google.appengine.ext.appstats import recording
app = recording.appstats_wsgi_middleware(app)
return app
| 24.545455
| 55
| 0.774074
| 38
| 270
| 5.368421
| 0.578947
| 0.098039
| 0.186275
| 0.215686
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 270
| 10
| 56
| 27
| 0.886957
| 0.177778
| 0
| 0
| 0
| 0
| 0.013636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a6b3be73ab4385f09a24e8e7b2761dbc2639dafc
| 614
|
py
|
Python
|
Chapter 05/aliens.py
|
Wenzurk-Ma/Python-Crash-Course
|
25bb81af95e16f08c849da5f1161658839b85f61
|
[
"Apache-2.0"
] | null | null | null |
Chapter 05/aliens.py
|
Wenzurk-Ma/Python-Crash-Course
|
25bb81af95e16f08c849da5f1161658839b85f61
|
[
"Apache-2.0"
] | null | null | null |
Chapter 05/aliens.py
|
Wenzurk-Ma/Python-Crash-Course
|
25bb81af95e16f08c849da5f1161658839b85f61
|
[
"Apache-2.0"
] | null | null | null |
# Title : TODO
# Objective : TODO
# Created by: Wenzurk
# Created on: 2018/2/6
alien_color = 'green'
# if alien_color == 'green':
# print("You get 5 point.")
# if alien_color == 'yellow':
# print("You are a loser.")
# if alien_color == 'green':
# print("You got 5 point.")
# else:
# print("You got 10 point.")
#
# if alien_color == 'yellow':
# print("You got 5 point.")
# else:
# print("You got 10 point.")
if alien_color == 'green':
print("You got 5 point.")
elif alien_color == 'yellow':
print("You got 10 point.")
elif alien_color == 'red':
print("You got 15 point.")
| 21.928571
| 32
| 0.594463
| 90
| 614
| 3.966667
| 0.322222
| 0.201681
| 0.215686
| 0.142857
| 0.663866
| 0.644258
| 0.498599
| 0.394958
| 0.394958
| 0.285714
| 0
| 0.038055
| 0.229642
| 614
| 28
| 33
| 21.928571
| 0.716702
| 0.615635
| 0
| 0
| 0
| 0
| 0.315068
| 0
| 0
| 0
| 0
| 0.035714
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.428571
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
a6c63f999fe561c3c572da47765657aa1539ce30
| 204
|
py
|
Python
|
pymt_frost_number/component.py
|
mcflugen/pymt_frost_number
|
acafd43fb1f5950eafbe6e8109442629a05e6f00
|
[
"MIT"
] | null | null | null |
pymt_frost_number/component.py
|
mcflugen/pymt_frost_number
|
acafd43fb1f5950eafbe6e8109442629a05e6f00
|
[
"MIT"
] | null | null | null |
pymt_frost_number/component.py
|
mcflugen/pymt_frost_number
|
acafd43fb1f5950eafbe6e8109442629a05e6f00
|
[
"MIT"
] | null | null | null |
from __future__ import absolute_import
from pymt.framework.bmi_bridge import bmi_factory
from .bmi import BmiFrostnumberMethod
BmiFrostNumberMethod = bmi_factory(BmiFrostnumberMethod)
del bmi_factory
| 20.4
| 56
| 0.867647
| 24
| 204
| 7
| 0.458333
| 0.178571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102941
| 204
| 9
| 57
| 22.666667
| 0.918033
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a6d728d06c418cbca7db096e3466bb254153d41b
| 116
|
py
|
Python
|
app/forms/comment_form.py
|
mrakzero/FlaskCMS
|
03ad35610befca1f45d5705f07cfb4794f9b2d3b
|
[
"MulanPSL-1.0"
] | 1
|
2022-03-31T03:57:45.000Z
|
2022-03-31T03:57:45.000Z
|
app/forms/comment_form.py
|
mrakzero/FlaskCMS
|
03ad35610befca1f45d5705f07cfb4794f9b2d3b
|
[
"MulanPSL-1.0"
] | null | null | null |
app/forms/comment_form.py
|
mrakzero/FlaskCMS
|
03ad35610befca1f45d5705f07cfb4794f9b2d3b
|
[
"MulanPSL-1.0"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: comment_form.py
# Author: Zhangzhijun
# Date: 2021/9/15 22:25
| 19.333333
| 23
| 0.646552
| 19
| 116
| 3.894737
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 0.146552
| 116
| 5
| 24
| 23.2
| 0.626263
| 0.913793
| 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
|
a6e1da0fe077c1fd1912a1144a5fb316f83095e5
| 29
|
py
|
Python
|
_package/xms/stamper/api/__init__.py
|
rohankumardubey/xmsstamper
|
00abfec145f9dab1867006ccdffe6e9e1a0e4caf
|
[
"BSD-2-Clause"
] | 2
|
2019-02-22T05:18:27.000Z
|
2019-08-09T21:40:05.000Z
|
_package/xms/stamper/api/__init__.py
|
rohankumardubey/xmsstamper
|
00abfec145f9dab1867006ccdffe6e9e1a0e4caf
|
[
"BSD-2-Clause"
] | 11
|
2018-10-09T12:39:24.000Z
|
2022-03-16T18:16:27.000Z
|
_package/tests/__init__.py
|
Aquaveo/xmsextractor
|
7b8ebc5e444bbdd3d8c44a2d5f849fa0430ad97e
|
[
"BSD-2-Clause"
] | 2
|
2020-09-24T22:38:54.000Z
|
2021-04-14T21:05:34.000Z
|
"""Initialize the module."""
| 14.5
| 28
| 0.655172
| 3
| 29
| 6.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103448
| 29
| 1
| 29
| 29
| 0.730769
| 0.758621
| 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
|
a6f0852e35f530c48b405fcf9b73f4e392c0ae15
| 253
|
py
|
Python
|
nectar/models/experiment.py
|
imrancharania/nectar
|
b7ed009ffcbc5570d16a5d0f40556b6761d137d3
|
[
"Apache-2.0"
] | 4
|
2021-12-13T02:33:29.000Z
|
2021-12-21T15:43:31.000Z
|
nectar/models/experiment.py
|
imrancharania/nectar
|
b7ed009ffcbc5570d16a5d0f40556b6761d137d3
|
[
"Apache-2.0"
] | 2
|
2021-12-24T10:47:56.000Z
|
2021-12-29T21:47:12.000Z
|
nectar/models/experiment.py
|
imrancharania/nectar
|
b7ed009ffcbc5570d16a5d0f40556b6761d137d3
|
[
"Apache-2.0"
] | 1
|
2021-12-13T02:02:11.000Z
|
2021-12-13T02:02:11.000Z
|
from pydantic import BaseModel
from typing import List
from .gym_environment import GymEnvironment
class Experiment(BaseModel):
algorithms: List[str]
gymEnvironment: GymEnvironment
iterations: int
gamma: List[float]
lr: List[float]
| 23
| 43
| 0.762846
| 29
| 253
| 6.62069
| 0.62069
| 0.09375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177866
| 253
| 11
| 44
| 23
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 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
|
a6f8b8e8d5198cf1608abee453f2f192aacc1ba0
| 1,222
|
py
|
Python
|
PTU_Notice.py
|
dodoeon/ptu_notice
|
558770edbc4174ea697772f0f388f41c84bd9462
|
[
"MIT"
] | null | null | null |
PTU_Notice.py
|
dodoeon/ptu_notice
|
558770edbc4174ea697772f0f388f41c84bd9462
|
[
"MIT"
] | null | null | null |
PTU_Notice.py
|
dodoeon/ptu_notice
|
558770edbc4174ea697772f0f388f41c84bd9462
|
[
"MIT"
] | null | null | null |
from bs4 import BeautifulSoup
import requests
response = requests.get('https://www.ptu.ac.kr/index.do')
FrontUrl=('https://www.ptu.ac.kr')
data = BeautifulSoup(response.content,"html.parser",from_encoding="utf-8")
def GETNOTICE(nth):
nth -= 1
Data_Tag = data.select('#body > div > div:nth-child(2) > div > div > div:nth-child(2) > div:nth-child(2) > div:nth-child(2) > ul:nth-child(1) > li:nth-child(n) > a > span:nth-child(1)')[nth]['class'][1]
Data_Title = data.select('#body > div > div:nth-child(2) > div > div > div:nth-child(2) > div:nth-child(2) > div:nth-child(2) > ul:nth-child(1) > li:nth-child(n) > a > span:nth-child(2)')[nth].get_text()
Data_Link = data.select('#body > div > div:nth-child(2) > div > div > div:nth-child(2) > div:nth-child(2) > div:nth-child(2) > ul:nth-child(1) > li:nth-child(n) > a')[nth]['href']
Data_Date = data.select('#body > div > div:nth-child(2) > div > div > div:nth-child(2) > div:nth-child(2) > div:nth-child(2) > ul:nth-child(1) > li:nth-child(n) > div')[nth].get_text()
if Data_Tag != '취업' :
Data_Link = FrontUrl+Data_Link
return (Data_Tag, Data_Title, Data_Link, Data_Date)
nth = int(input("1~7번째중 공지글 번호 선택 : "))
print(GETNOTICE(nth))
| 58.190476
| 207
| 0.638298
| 217
| 1,222
| 3.529954
| 0.24424
| 0.27154
| 0.199739
| 0.250653
| 0.560052
| 0.520888
| 0.520888
| 0.520888
| 0.520888
| 0.520888
| 0
| 0.026769
| 0.144026
| 1,222
| 20
| 208
| 61.1
| 0.705545
| 0
| 0
| 0
| 0
| 0.25
| 0.56874
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.0625
| false
| 0
| 0.125
| 0
| 0.25
| 0.0625
| 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
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5b306d6ed9727bd765a8fb2a8fb1a2ebcce3654e
| 96
|
py
|
Python
|
tests/asp/weakConstraints/optimization.example1.nonground.gringo.test.py
|
bernardocuteri/wasp
|
05c8f961776dbdbf7afbf905ee00fc262eba51ad
|
[
"Apache-2.0"
] | 19
|
2015-12-03T08:53:45.000Z
|
2022-03-31T02:09:43.000Z
|
tests/asp/weakConstraints/optimization.example1.nonground.gringo.test.py
|
bernardocuteri/wasp
|
05c8f961776dbdbf7afbf905ee00fc262eba51ad
|
[
"Apache-2.0"
] | 80
|
2017-11-25T07:57:32.000Z
|
2018-06-10T19:03:30.000Z
|
tests/asp/weakConstraints/optimization.example1.nonground.gringo.test.py
|
bernardocuteri/wasp
|
05c8f961776dbdbf7afbf905ee00fc262eba51ad
|
[
"Apache-2.0"
] | 6
|
2015-01-15T07:51:48.000Z
|
2020-06-18T14:47:48.000Z
|
input = """
8 2 2 3 0 0
6 0 2 0 2 3 1 2
0
3 b
2 a
0
B+
0
B-
1
0
1
"""
output = """
COST 1@1
"""
| 5.333333
| 15
| 0.447917
| 31
| 96
| 1.387097
| 0.354839
| 0.093023
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.4
| 0.375
| 96
| 17
| 16
| 5.647059
| 0.316667
| 0
| 0
| 0.117647
| 0
| 0
| 0.677083
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5b49c96b032a34951cdc64156f55450b652bdcab
| 1,450
|
py
|
Python
|
gittip/models/payday.py
|
bountysource/www.gittip.com
|
84cd36dd1da2eec54ebf0fe8c7c31d10ae5b933c
|
[
"CC0-1.0"
] | 4
|
2015-03-11T02:04:27.000Z
|
2021-04-28T01:33:40.000Z
|
gittip/models/payday.py
|
sigmavirus24/www.gittip.com
|
112ea4e62aefad11c36954f0f979679ce057cf02
|
[
"CC0-1.0"
] | null | null | null |
gittip/models/payday.py
|
sigmavirus24/www.gittip.com
|
112ea4e62aefad11c36954f0f979679ce057cf02
|
[
"CC0-1.0"
] | 3
|
2015-08-27T09:47:17.000Z
|
2018-08-02T14:05:59.000Z
|
import datetime
import pytz
from sqlalchemy.schema import Column, UniqueConstraint
from sqlalchemy.types import Integer, Numeric, Text, TIMESTAMP
from gittip.orm import db
class Payday(db.Model):
__tablename__ = 'paydays'
__table_args__ = (
UniqueConstraint('ts_end', name='paydays_ts_end_key'),
)
# TODO: Move this to a different module?
EPOCH = datetime.datetime(1970, 1, 1, tzinfo=pytz.utc)
id = Column(Integer, nullable=False, primary_key=True)
ts_start = Column(TIMESTAMP(timezone=True), nullable=False,
default="now()")
ts_end = Column(TIMESTAMP(timezone=True), nullable=False,
default=EPOCH)
nparticipants = Column(Integer, default=0)
ntippers = Column(Integer, default=0)
ntips = Column(Integer, default=0)
ntransfers = Column(Integer, default=0)
transfer_volume = Column(Numeric(precision=35, scale=2), default=0.0)
ncc_failing = Column(Integer, default=0)
ncc_missing = Column(Integer, default=0)
ncharges = Column(Integer, default=0)
charge_volume = Column(Numeric(precision=35, scale=2), default=0.0)
charge_fees_volume = Column(Numeric(precision=35, scale=2), default=0.0)
nachs = Column(Integer, default=0)
ach_volume = Column(Numeric(precision=35, scale=2), default=0.0)
ach_fees_volume = Column(Numeric(precision=35, scale=2), default=0.0)
nach_failing = Column(Integer, default=0)
| 40.277778
| 76
| 0.695172
| 188
| 1,450
| 5.223404
| 0.361702
| 0.114053
| 0.183299
| 0.192464
| 0.39002
| 0.332994
| 0.332994
| 0.237271
| 0.237271
| 0.237271
| 0
| 0.033985
| 0.188276
| 1,450
| 36
| 77
| 40.277778
| 0.80034
| 0.026207
| 0
| 0
| 0
| 0
| 0.025514
| 0
| 0
| 0
| 0
| 0.027778
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.866667
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
5b4c7c593399e8d374ae783791fb8b741c94215b
| 1,009
|
py
|
Python
|
src/05-threads/woz_test/hundred_thread.py
|
ziwoz/async-techniques-python-course
|
a2689962c6e26f93e153e2ea34da2b3e73ddbf75
|
[
"MIT"
] | null | null | null |
src/05-threads/woz_test/hundred_thread.py
|
ziwoz/async-techniques-python-course
|
a2689962c6e26f93e153e2ea34da2b3e73ddbf75
|
[
"MIT"
] | null | null | null |
src/05-threads/woz_test/hundred_thread.py
|
ziwoz/async-techniques-python-course
|
a2689962c6e26f93e153e2ea34da2b3e73ddbf75
|
[
"MIT"
] | null | null | null |
import threading
import time
import math
start = time.time()
def do_math(start=0, num=100):
pos = start
k_sq = 1000 * 1000
while pos < num:
pos += 1
math.sqrt((pos - k_sq) * (pos - k_sq))
def time_waste():
a = 10000*10000*1200000*55555555*99999*77777*55555
b = 10000 * 10000 * 1200000 * 55555555 * 99999 * 77777 * 55555
n = 10000 * 10000 * 1200000 * 55555555 * 99999 * 77777 * 55555
v = 10000 * 10000 * 1200000 * 55555555 * 99999 * 77777 * 55555
u = 10000 * 10000 * 1200000 * 55555555 * 99999 * 77777 * 55555
g = 10000 * 10000 * 1200000 * 55555555 * 99999 * 77777 * 55555
f = 10000 * 10000 * 1200000 * 55555555 * 99999 * 77777 * 55555
do_math(99999, 9999999)
time.sleep(1)
threads = [threading.Thread(target=time_waste) for x in range(4000)]
[th.start() for th in threads]
print('{} of threads now going to close them...'.format(len(threads)))
[th.join() for th in threads]
print('Total time is {} Seconds'.format(time.time() - start))
| 28.828571
| 70
| 0.635282
| 144
| 1,009
| 4.402778
| 0.381944
| 0.11041
| 0.187697
| 0.276025
| 0.501577
| 0.44164
| 0.44164
| 0
| 0
| 0
| 0
| 0.401554
| 0.234886
| 1,009
| 35
| 71
| 28.828571
| 0.419689
| 0
| 0
| 0
| 0
| 0
| 0.063429
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.08
| false
| 0
| 0.12
| 0
| 0.2
| 0.08
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
|
5b509fb4473b598bb22f564f994a1f84d9fa6e7b
| 50
|
py
|
Python
|
jinahub/encoders/video/VideoTorchEncoder/__init__.py
|
sauravgarg540/executors
|
c06a16633767346eee96ec019ae6a171f125f6cb
|
[
"Apache-2.0"
] | null | null | null |
jinahub/encoders/video/VideoTorchEncoder/__init__.py
|
sauravgarg540/executors
|
c06a16633767346eee96ec019ae6a171f125f6cb
|
[
"Apache-2.0"
] | null | null | null |
jinahub/encoders/video/VideoTorchEncoder/__init__.py
|
sauravgarg540/executors
|
c06a16633767346eee96ec019ae6a171f125f6cb
|
[
"Apache-2.0"
] | null | null | null |
from .video_torch_encoder import VideoTorchEncoder
| 50
| 50
| 0.92
| 6
| 50
| 7.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06
| 50
| 1
| 50
| 50
| 0.93617
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5b5a537b05216129ab1a7b58d800f4a33ca84396
| 231
|
py
|
Python
|
algorithms/compression/utils.py
|
bigfoolliu/liu_aistuff
|
aa661d37c05c257ee293285dd0868fb7e8227628
|
[
"MIT"
] | 1
|
2019-11-25T07:23:42.000Z
|
2019-11-25T07:23:42.000Z
|
algorithms/compression/utils.py
|
bigfoolliu/liu_aistuff
|
aa661d37c05c257ee293285dd0868fb7e8227628
|
[
"MIT"
] | 13
|
2020-01-07T16:09:47.000Z
|
2022-03-02T12:51:44.000Z
|
algorithms/compression/utils.py
|
bigfoolliu/liu_aistuff
|
aa661d37c05c257ee293285dd0868fb7e8227628
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# author: bigfoolliu
def get_rate(compressed_binary, uncompressed_bits):
"""
获取压缩率
计算公式： 压缩后的体积/压缩前的体积
"""
return len(compressed_binary) * 100 / uncompressed_bits
| 19.25
| 59
| 0.666667
| 27
| 231
| 5.518519
| 0.851852
| 0.214765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026882
| 0.194805
| 231
| 11
| 60
| 21
| 0.774194
| 0.376623
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0
| 1
| 0
| 1
| 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
| 0
| 1
| 0
|
0
| 4
|
5b605183feae88087c3adc3b71cb22e3fdedd2a9
| 171
|
py
|
Python
|
wagtailstartproject/project_template/project_name/pages/models.py
|
leukeleu/wagtail-startproject
|
84eb3df8316ffa17f7a724bd64485d43b16446bb
|
[
"MIT"
] | 4
|
2017-08-08T18:58:52.000Z
|
2017-12-20T06:28:31.000Z
|
wagtailstartproject/project_template/project_name/pages/models.py
|
leukeleu/wagtail-startproject
|
84eb3df8316ffa17f7a724bd64485d43b16446bb
|
[
"MIT"
] | 10
|
2017-06-13T14:23:10.000Z
|
2018-03-19T14:08:00.000Z
|
wagtailstartproject/project_template/project_name/pages/models.py
|
leukeleu/wagtail-startproject
|
84eb3df8316ffa17f7a724bd64485d43b16446bb
|
[
"MIT"
] | 2
|
2017-06-13T14:25:54.000Z
|
2019-09-10T16:06:35.000Z
|
from __future__ import absolute_import, unicode_literals
from wagtail.wagtailcore.models import Page
class HomePage(Page):
pass
class ContentPage(Page):
pass
| 14.25
| 56
| 0.783626
| 21
| 171
| 6.095238
| 0.666667
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163743
| 171
| 11
| 57
| 15.545455
| 0.895105
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
5b68058462dc5b9a03aeb3b44d5deeff63c8acc1
| 2,871
|
py
|
Python
|
mdjpp/render.py
|
tljm/jpp
|
23e3816a503a7b5558d990cacbe869991f76755f
|
[
"0BSD"
] | null | null | null |
mdjpp/render.py
|
tljm/jpp
|
23e3816a503a7b5558d990cacbe869991f76755f
|
[
"0BSD"
] | null | null | null |
mdjpp/render.py
|
tljm/jpp
|
23e3816a503a7b5558d990cacbe869991f76755f
|
[
"0BSD"
] | null | null | null |
import hashlib
from functools import wraps
from os import linesep
from mdjpp.tags import Multi, Date, Global
from mdjpp import tagtag
def auto_color(value):
hash_str = hashlib.md5(value.encode('utf-8')).hexdigest()[0:7]
pair_sort = lambda p: ''.join(sorted(p,reverse=False))
return ''.join(map(pair_sort,(hash_str[:2],hash_str[:2:4],hash_str[4:])))
class sstr(str):
pass
def ensure_sstr(gen):
@wraps(gen)
def patched(*args, **kwargs):
obj = gen(*args, **kwargs)
return None if obj is None else sstr(obj)
return patched
class Null(object):
null = None
@ensure_sstr
def tag_time(self, tag):
return f"[{tag.begin}-{tag.end}]"
@ensure_sstr
def tag_opener(self, tag):
#return f"<OPEN:{tag.value} TIME:{tag.begin}>"
return self.null
@ensure_sstr
def tag_closer(self, tag):
#return f"<CLOSE:{tag.value} TIME:{tag.end}>"
return self.null
@ensure_sstr
def tag(self, tag):
if isinstance(tag, Date):
return self.tag_date(tag)
elif isinstance(tag, Multi):
return self.tag_multi(tag)
@ensure_sstr
def tag_date(self, tag):
return tagtag + '%04d%02d%02d' % (tag.value.year, tag.value.month, tag.value.day)
@ensure_sstr
def tag_verbatim(self, tag):
return tagtag + str(tag.value)
@ensure_sstr
def tag_multi(self, tag):
return linesep.join(map(self.tag_verbatim, tag.value))
class MD(Null):
@ensure_sstr
def tag(self, tag):
if isinstance(tag, Global):
return self.tag_global(tag)
else:
return super().tag(tag)
@ensure_sstr
def tag_date(self, tag):
return '## **%s**' % str(tag.value)
@ensure_sstr
def tag_verbatim(self, tag):
return '**%s**' % str(tag.value)
@ensure_sstr
def tag_multi(self, tag):
return "### " + '; '.join(map(self.tag_verbatim, tag.value))
@ensure_sstr
def tag_global(self, tag):
return self.tag_multi(tag)[2:]
class HTML(Null):
@ensure_sstr
def hrme(self, line):
return '***' + linesep * 2 + str(line) + linesep * 2 + '***'
@ensure_sstr
def tag_opener(self, tag):
return """<div style="margin:1px;">"""
@ensure_sstr
def tag_closer(self, tag):
return """</div>"""
@ensure_sstr
def tag_date(self, tag):
return self.hrme("""<p><strong>%s</strong></p>""" % str(tag.value))
@ensure_sstr
def tag_verbatim(self, tag):
color = auto_color(tag.value)
return """<span style="border:1px solid black; color:#%s">
<span style="margin-left: 3px; margin-right: 3px">%s</span></span>""" % (color, str(tag.value))
@ensure_sstr
def tag_multi(self, tag):
return """<p>%s</p>""" % ' '.join(map(self.tag_verbatim, tag.value))
| 24.330508
| 103
| 0.595263
| 400
| 2,871
| 4.15
| 0.2225
| 0.101205
| 0.140964
| 0.163855
| 0.459036
| 0.435542
| 0.425904
| 0.357229
| 0.230723
| 0.195181
| 0
| 0.009713
| 0.246952
| 2,871
| 117
| 104
| 24.538462
| 0.758094
| 0.031
| 0
| 0.421687
| 0
| 0.012048
| 0.092446
| 0.02518
| 0
| 0
| 0
| 0
| 0
| 1
| 0.253012
| false
| 0.012048
| 0.060241
| 0.180723
| 0.650602
| 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
|
5b6bd438d5ec0f8b67815802b23e869f99e61443
| 91
|
py
|
Python
|
libweasyl/libweasyl/__init__.py
|
hyena/weasyl
|
a43ad885eb07ae89d6639f289a5b95f3a177439c
|
[
"Apache-2.0"
] | null | null | null |
libweasyl/libweasyl/__init__.py
|
hyena/weasyl
|
a43ad885eb07ae89d6639f289a5b95f3a177439c
|
[
"Apache-2.0"
] | 19
|
2018-01-02T07:27:22.000Z
|
2019-01-23T05:20:06.000Z
|
libweasyl/libweasyl/__init__.py
|
hyena/weasyl
|
a43ad885eb07ae89d6639f289a5b95f3a177439c
|
[
"Apache-2.0"
] | null | null | null |
from libweasyl._version import __version__, __sha__
__all__ = ['__version__', '__sha__']
| 18.2
| 51
| 0.769231
| 9
| 91
| 5.444444
| 0.666667
| 0.408163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.120879
| 91
| 4
| 52
| 22.75
| 0.6125
| 0
| 0
| 0
| 0
| 0
| 0.197802
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5b7294537793d2b19009d9114c49e61d9e92526d
| 221
|
py
|
Python
|
mkdocs_awesome_pages_plugin/options.py
|
marcovoc/mkdocs-awesome-pages-plugin
|
8b489024c1a545fead6e7338fffb29b98c657bdc
|
[
"MIT"
] | 226
|
2018-02-07T09:58:36.000Z
|
2022-03-31T16:33:54.000Z
|
mkdocs_awesome_pages_plugin/options.py
|
marcovoc/mkdocs-awesome-pages-plugin
|
8b489024c1a545fead6e7338fffb29b98c657bdc
|
[
"MIT"
] | 55
|
2018-02-07T10:36:38.000Z
|
2022-03-16T03:23:47.000Z
|
mkdocs_awesome_pages_plugin/options.py
|
marcovoc/mkdocs-awesome-pages-plugin
|
8b489024c1a545fead6e7338fffb29b98c657bdc
|
[
"MIT"
] | 30
|
2018-05-01T17:27:03.000Z
|
2022-03-04T07:33:28.000Z
|
class Options:
def __init__(self, *, filename: str, collapse_single_pages: bool, strict: bool):
self.filename = filename
self.collapse_single_pages = collapse_single_pages
self.strict = strict
| 36.833333
| 84
| 0.701357
| 26
| 221
| 5.576923
| 0.461538
| 0.289655
| 0.393103
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.217195
| 221
| 5
| 85
| 44.2
| 0.83815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.4
| 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
|
5b7e2d791ef76e7968987649527c4564a6c07285
| 708
|
py
|
Python
|
tests/schemas/v1/test_predicate_session_value_getter.py
|
Clustaar/clustaar.schemas
|
3eb68b0a8c76f3529fb645516a76007435b04d17
|
[
"MIT"
] | null | null | null |
tests/schemas/v1/test_predicate_session_value_getter.py
|
Clustaar/clustaar.schemas
|
3eb68b0a8c76f3529fb645516a76007435b04d17
|
[
"MIT"
] | 7
|
2018-09-07T16:03:42.000Z
|
2020-05-13T10:54:37.000Z
|
tests/schemas/v1/test_predicate_session_value_getter.py
|
Clustaar/clustaar.schemas
|
3eb68b0a8c76f3529fb645516a76007435b04d17
|
[
"MIT"
] | null | null | null |
from clustaar.schemas.v1 import PREDICATE_SESSION_VALUE_GETTER
from clustaar.schemas.models import SessionValueGetter
import pytest
@pytest.fixture
def data():
return {"type": "session_value", "key": "name"}
@pytest.fixture
def getter():
return SessionValueGetter(key="name")
class TestLoad(object):
def test_must_return_a_getter(self, data, mapper):
result = mapper.load(data, PREDICATE_SESSION_VALUE_GETTER)
assert isinstance(result, SessionValueGetter)
assert result.key == "name"
class TestDump(object):
def test_returns_a_dict(self, getter, data, mapper):
result = mapper.dump(getter, PREDICATE_SESSION_VALUE_GETTER)
assert result == data
| 26.222222
| 68
| 0.734463
| 86
| 708
| 5.848837
| 0.406977
| 0.095427
| 0.125249
| 0.161034
| 0.131213
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001698
| 0.168079
| 708
| 26
| 69
| 27.230769
| 0.852292
| 0
| 0
| 0.111111
| 0
| 0
| 0.045198
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.222222
| false
| 0
| 0.166667
| 0.111111
| 0.611111
| 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
|
5bb82d19e7faf6a270241931bc0986844a4a8c84
| 76
|
py
|
Python
|
step_1.py
|
GreeeNic/lesson_201129_5
|
e7b8b544df6d650e912dc24b2bdd7f249bcb0e1d
|
[
"Apache-2.0"
] | null | null | null |
step_1.py
|
GreeeNic/lesson_201129_5
|
e7b8b544df6d650e912dc24b2bdd7f249bcb0e1d
|
[
"Apache-2.0"
] | null | null | null |
step_1.py
|
GreeeNic/lesson_201129_5
|
e7b8b544df6d650e912dc24b2bdd7f249bcb0e1d
|
[
"Apache-2.0"
] | null | null | null |
globus = 'глобус'
print(globus)
print('глобус',globus)
print('hello world!')
| 19
| 22
| 0.723684
| 10
| 76
| 5.5
| 0.5
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 76
| 4
| 23
| 19
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0.311688
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.75
| 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
| 0
| 1
|
0
| 4
|
5bd6da6dd451d483379a46fbbc186a5c0eb2b4de
| 497
|
py
|
Python
|
ExampleApp/ExampleController.py
|
GTBebbo/DjangoControllers
|
23fde1992728e2d80c69124375bf4e022d9a0364
|
[
"BSD-3-Clause"
] | null | null | null |
ExampleApp/ExampleController.py
|
GTBebbo/DjangoControllers
|
23fde1992728e2d80c69124375bf4e022d9a0364
|
[
"BSD-3-Clause"
] | null | null | null |
ExampleApp/ExampleController.py
|
GTBebbo/DjangoControllers
|
23fde1992728e2d80c69124375bf4e022d9a0364
|
[
"BSD-3-Clause"
] | null | null | null |
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
def get_view(request):
return HttpResponse("GET Request", status=200)
def get_specific_view(request, model_id):
print("GET CALLED")
return HttpResponse(f"GET Request for model id: {model_id}", status=200)
@csrf_exempt
def post_view(request):
return HttpResponse("POST Request", status=200)
@csrf_exempt
def delete_view(request):
return HttpResponse("DELETE Request", status=200)
| 22.590909
| 76
| 0.760563
| 69
| 497
| 5.333333
| 0.362319
| 0.119565
| 0.105978
| 0.236413
| 0.119565
| 0
| 0
| 0
| 0
| 0
| 0
| 0.028037
| 0.138833
| 497
| 21
| 77
| 23.666667
| 0.831776
| 0
| 0
| 0.153846
| 0
| 0
| 0.167002
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0
| 0.153846
| 0.230769
| 0.769231
| 0.076923
| 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
|
5bfaadad3bb996d748576b9d0f6c3b6ef6c5fa1e
| 115
|
py
|
Python
|
common/moudle/waf_plugins/naxsi.py
|
ziizhuwy/cify
|
627ae74f6a27d803521df213e8644366dbba183f
|
[
"Apache-2.0"
] | 8
|
2018-10-11T16:05:14.000Z
|
2020-12-30T08:21:15.000Z
|
common/moudle/waf_plugins/naxsi.py
|
keven1z/cify
|
627ae74f6a27d803521df213e8644366dbba183f
|
[
"Apache-2.0"
] | 1
|
2020-04-22T03:36:59.000Z
|
2020-06-11T06:42:42.000Z
|
common/moudle/waf_plugins/naxsi.py
|
ziizhuwy/cify
|
627ae74f6a27d803521df213e8644366dbba183f
|
[
"Apache-2.0"
] | 4
|
2019-07-10T06:51:45.000Z
|
2020-04-19T09:52:09.000Z
|
#!/usr/bin/env python
NAME = 'Naxsi'
def is_waf(self):
return self.match_header(('X-Data-Origin', '^naxsi'))
| 16.428571
| 57
| 0.652174
| 18
| 115
| 4.055556
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13913
| 115
| 6
| 58
| 19.166667
| 0.737374
| 0.173913
| 0
| 0
| 0
| 0
| 0.255319
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
75090530865a62758a2bc50afdc9f1d856fcc245
| 114
|
py
|
Python
|
model.py
|
bmichele/d2t_iterative_editing
|
3e3c7e246b173e8a2f03d1122f2acf1ece2634ae
|
[
"Apache-2.0"
] | 11
|
2021-02-17T12:37:48.000Z
|
2021-12-13T14:52:36.000Z
|
model.py
|
bmichele/d2t_iterative_editing
|
3e3c7e246b173e8a2f03d1122f2acf1ece2634ae
|
[
"Apache-2.0"
] | null | null | null |
model.py
|
bmichele/d2t_iterative_editing
|
3e3c7e246b173e8a2f03d1122f2acf1ece2634ae
|
[
"Apache-2.0"
] | 2
|
2021-02-17T12:55:10.000Z
|
2021-06-04T08:33:01.000Z
|
#!/usr/bin/env python3
class FuseModel:
def fuse(self, first, second):
raise NotImplementedError()
| 14.25
| 35
| 0.666667
| 13
| 114
| 5.846154
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011236
| 0.219298
| 114
| 7
| 36
| 16.285714
| 0.842697
| 0.184211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
753be63e0e52879d9ed5185e4d3593e49faa371b
| 110
|
py
|
Python
|
example_snippets/multimenus_snippets/Snippets/NumPy/Vectorized (universal) functions/Trigonometric and hyperbolic functions/arctanh Inverse hyperbolic tangent, element-wise with automatic domain.py
|
kuanpern/jupyterlab-snippets-multimenus
|
477f51cfdbad7409eab45abe53cf774cd70f380c
|
[
"BSD-3-Clause"
] | null | null | null |
example_snippets/multimenus_snippets/Snippets/NumPy/Vectorized (universal) functions/Trigonometric and hyperbolic functions/arctanh Inverse hyperbolic tangent, element-wise with automatic domain.py
|
kuanpern/jupyterlab-snippets-multimenus
|
477f51cfdbad7409eab45abe53cf774cd70f380c
|
[
"BSD-3-Clause"
] | null | null | null |
example_snippets/multimenus_snippets/Snippets/NumPy/Vectorized (universal) functions/Trigonometric and hyperbolic functions/arctanh Inverse hyperbolic tangent, element-wise with automatic domain.py
|
kuanpern/jupyterlab-snippets-multimenus
|
477f51cfdbad7409eab45abe53cf774cd70f380c
|
[
"BSD-3-Clause"
] | 1
|
2021-02-04T04:51:48.000Z
|
2021-02-04T04:51:48.000Z
|
# Use np.emath.arctanh when input dtype is float, but may contain values outside of (-1,1)
np.emath.arctanh(x)
| 55
| 90
| 0.754545
| 21
| 110
| 3.952381
| 0.809524
| 0.168675
| 0.337349
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021053
| 0.136364
| 110
| 2
| 91
| 55
| 0.852632
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
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