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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
255712c624addea8904a95b91ad5b6d496a4f420
| 118
|
py
|
Python
|
DLplatform/stopping/__init__.py
|
chelseajohn/dlplatform
|
429e42c598039d1e9fd1df3da4247f391915a31b
|
[
"Apache-2.0"
] | 5
|
2020-05-05T08:54:26.000Z
|
2021-02-20T07:36:28.000Z
|
DLplatform/stopping/__init__.py
|
chelseajohn/dlplatform
|
429e42c598039d1e9fd1df3da4247f391915a31b
|
[
"Apache-2.0"
] | 1
|
2020-11-16T14:15:53.000Z
|
2020-11-16T14:15:53.000Z
|
DLplatform/stopping/__init__.py
|
chelseajohn/dlplatform
|
429e42c598039d1e9fd1df3da4247f391915a31b
|
[
"Apache-2.0"
] | 4
|
2020-05-05T08:56:57.000Z
|
2020-07-22T11:28:52.000Z
|
from DLplatform.stopping.max_amount_examples import MaxAmountExamples
from DLplatform.stopping.timeout import Timeout
| 39.333333
| 69
| 0.898305
| 14
| 118
| 7.428571
| 0.642857
| 0.269231
| 0.423077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067797
| 118
| 2
| 70
| 59
| 0.945455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
c25c57a12b5653bbf56303eed2f12cbf11cb0910
| 34
|
py
|
Python
|
Aulas de Python Mundo 1/Curso Python #11 - Cores no terminal - Part 6.py
|
ErikDMCosta/Meu-Reposit-rio-do-Curso-de-Python-Mundo-1
|
085662603d1fc1963ea25e4b08ba887adc59fecd
|
[
"MIT"
] | null | null | null |
Aulas de Python Mundo 1/Curso Python #11 - Cores no terminal - Part 6.py
|
ErikDMCosta/Meu-Reposit-rio-do-Curso-de-Python-Mundo-1
|
085662603d1fc1963ea25e4b08ba887adc59fecd
|
[
"MIT"
] | null | null | null |
Aulas de Python Mundo 1/Curso Python #11 - Cores no terminal - Part 6.py
|
ErikDMCosta/Meu-Reposit-rio-do-Curso-de-Python-Mundo-1
|
085662603d1fc1963ea25e4b08ba887adc59fecd
|
[
"MIT"
] | null | null | null |
print('\033[30mOlá, Mundo!\033[m')
| 34
| 34
| 0.676471
| 6
| 34
| 3.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242424
| 0.029412
| 34
| 1
| 34
| 34
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
c2999d097240481aba2edf74b5fe04ce7d467795
| 3,305
|
py
|
Python
|
PythonExtensions/tk/Core/Frames.py
|
Jakar510/PythonExtensions
|
f29600f73454d21345f6da893a1df1b71ddacd0b
|
[
"MIT"
] | null | null | null |
PythonExtensions/tk/Core/Frames.py
|
Jakar510/PythonExtensions
|
f29600f73454d21345f6da893a1df1b71ddacd0b
|
[
"MIT"
] | null | null | null |
PythonExtensions/tk/Core/Frames.py
|
Jakar510/PythonExtensions
|
f29600f73454d21345f6da893a1df1b71ddacd0b
|
[
"MIT"
] | null | null | null |
from enum import Enum
from typing import *
from ...Names import nameof
from ..Base import *
__all__ = [
'Frame', 'LabelFrame',
'FrameThemed', 'LabelFrameThemed',
]
class _BaseFrameMixin:
InstanceID: Union[str, int, Enum] = None
def SetID(self, InstanceID: Union[str, int, Enum]):
self.InstanceID = InstanceID
return self
@property
def __name__(self):
try: base = super().__name__()
except AttributeError: base = nameof(self)
if self.InstanceID:
if isinstance(self.InstanceID, Enum): InstanceID = self.InstanceID.value
else: InstanceID = self.InstanceID
return f'{base}_{InstanceID}'.lower()
return base
class Frame(tk.Frame, BaseTkinterWidget, _BaseFrameMixin):
def __init__(self, master, **kwargs):
tk.Frame.__init__(self, master, **kwargs)
def _options(self, cnf, kwargs=None) -> dict: return super()._options(cnf, BaseTkinterWidget.convert_kwargs(kwargs))
class LabelFrame(tk.LabelFrame, BaseTextTkinterWidget, _BaseFrameMixin):
"""Construct a labelframe _widget with the master MASTER.
STANDARD OPTIONS
borderwidth, cursor, font, foreground,
highlightbackground, highlightcolor,
highlightthickness, padx, pady, relief,
takefocus, text
WIDGET-SPECIFIC OPTIONS
background, class, colormap, container,
height, labelanchor, labelwidget,
visual, width
"""
def __init__(self, master, text: str = '', Color: Dict[str, str] = None, **kwargs):
tk.LabelFrame.__init__(self, master, text=text, **kwargs)
BaseTextTkinterWidget.__init__(self, text, None, Color, configure=False)
@property
def txt(self) -> str: return self._txt.get()
@txt.setter
def txt(self, value: str):
self._txt.set(value)
self.configure(text=value)
def _options(self, cnf, kwargs=None) -> dict: return super()._options(cnf, BaseTkinterWidget.convert_kwargs(kwargs))
class FrameThemed(ttk.Frame, BaseTkinterWidget, _BaseFrameMixin):
def __init__(self, master, **kwargs):
ttk.Frame.__init__(self, master, **kwargs)
def _options(self, cnf, kwargs=None) -> dict: return super()._options(cnf, BaseTkinterWidget.convert_kwargs(kwargs))
class LabelFrameThemed(ttk.LabelFrame, BaseTextTkinterWidget, _BaseFrameMixin):
"""Construct a labelframe _widget with the master MASTER.
STANDARD OPTIONS
borderwidth, cursor, font, foreground,
highlightbackground, highlightcolor,
highlightthickness, padx, pady, relief,
takefocus, text
WIDGET-SPECIFIC OPTIONS
background, class, colormap, container,
height, labelanchor, labelwidget,
visual, width
"""
def __init__(self, master, text: str = '', Color: Dict[str, str] = None, **kwargs):
ttk.LabelFrame.__init__(self, master, text=text, **kwargs)
BaseTextTkinterWidget.__init__(self, text, None, Color, configure=False)
@property
def txt(self) -> str: return self._txt.get()
@txt.setter
def txt(self, value: str):
self._txt.set(value)
self.configure(text=value)
def _options(self, cnf, kwargs=None) -> dict: return super()._options(cnf, BaseTkinterWidget.convert_kwargs(kwargs))
| 30.321101
| 120
| 0.671407
| 354
| 3,305
| 6.053672
| 0.225989
| 0.037331
| 0.052263
| 0.031731
| 0.786281
| 0.762949
| 0.762949
| 0.762949
| 0.707886
| 0.707886
| 0
| 0
| 0.215129
| 3,305
| 108
| 121
| 30.601852
| 0.826137
| 0.210287
| 0
| 0.442308
| 0
| 0
| 0.024235
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.269231
| false
| 0
| 0.076923
| 0.115385
| 0.519231
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
c2df95df4af6502da0c7477db3396ad251dba127
| 111,657
|
py
|
Python
|
Tests/Channels_editor/main.py
|
yupasik/AT
|
8f4f6535cef8b7714cb325a32dadf36f6f8664ee
|
[
"Apache-2.0"
] | null | null | null |
Tests/Channels_editor/main.py
|
yupasik/AT
|
8f4f6535cef8b7714cb325a32dadf36f6f8664ee
|
[
"Apache-2.0"
] | null | null | null |
Tests/Channels_editor/main.py
|
yupasik/AT
|
8f4f6535cef8b7714cb325a32dadf36f6f8664ee
|
[
"Apache-2.0"
] | null | null | null |
# Test name = Channels_editor_3
# Script dir = R:\Stingray\Tests\Channels_editor_3\main\main.py
# Rev = 3.0
from time import sleep
from device import handler, updateTestResult
import RC
import UART
import DO
import GRAB
import MOD
import os
import OPER
from DO import status
def runTest():
status("active")
TestName = "Channels_editor_3"
ScriptName = "main"
ScriptIndex = "1"
Grabber = DO.grab_define()
platform = DO.load_platform()
Modulation = "DVBS"
FEC = "3/4"
SR = "27500000"
Stream = "\\X_0000_00000_MUX_32000_EPG_Software_20130328a.ts"
Frequency = 1476
Modulator = "1"
COM = "COM7"
settings = [ScriptName, ScriptIndex, Grabber, Modulation, FEC, SR, Stream, Frequency, Modulator, COM]
DO.save_settings(settings)
GRAB.start_capture()
MOD.stop(Modulator)
# macros
searching_from_wizard_general_E501 = ["ok 1 3400", "ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_general_english_E501 = ["up 2 3400", "right 1 1000", "down 2 3400", "ok 1 3400", "ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_centre_E501 = ["ok 1 3400", "ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "down", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_centre_english_E501 = ["up 3 3400", "right 1 1000", "down 3 3400", "ok 1 3400", "ok 1 3400", "ok 1 3400", "right", "ok 1 3400", "ok 1 22200", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_south_E501 = ["ok 1 3400", "ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "down", "down", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_general_ALL = ["ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_general_english_ALL = ["up 2 3400", "right 1 1000", "down 2 3400", "ok 1 3400", "ok 1 3400", "right", "ok 1 3400", "ok 1 22200", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_centre_ALL = ["ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "down", "ok 1 5000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_centre_english_ALL = ["up 3 3400", "right 1 1000", "down 3 3400", "ok 1 3400", "ok 1 3400", "right", "ok 1 3400", "ok 1 22200", "down 1 1000", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
searching_from_wizard_south_ALL = ["ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200", "down", "down", "ok 1 15000", "ok 1 10000", "exit 2 3000"]
load_regions_E501 = ["ok 1 3400", "ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200"]
load_regions_english_E501 = ["up 2 2400", "right 1 1000", "down 2 2400", "ok 1 3400", "ok 1 3400", "ok 1 3400", "right", "ok 1 3400", "ok 1 22200"]
load_regions_ALL = ["ok 1 3400", "ok 1 3400", "right 1 3400", "ok 1 3400", "ok 1 22200"]
load_regions_english_ALL = ["up 2 2400", "right 1 1000", "down 2 2400", "ok 1 3400", "ok 1 3400", "right", "ok 1 3400", "ok 1 22200"]
############################ TestCase 1 ##########################################
testcase = 1
status("active")
MOD.play_stream(Modulation, FEC, SR, Stream, Frequency, Modulator)
UART.default_settings()
OPER.search()
UART.start_app("channelseditor")
GRAB.compare(testcase)
############################ TestCase 2 ##########################################
testcase = 2
status("active")
GRAB.compare(testcase)
############################ TestCase 3 ##########################################
testcase = 3
status("active")
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 3000", "ok 1 3000", "down 2 3000", "ok 1 20000", "ok 1 5000"])
#if platform == "E212":
# UART.start_app("dvbtscanner")
# RC.push(["ok 1 20000", "ok 1 5000", "exit 3 3000"])
UART.start_app("channelseditor")
GRAB.compare(testcase)
############################ TestCase 4 ##########################################
testcase = 4
status("active")
RC.push(["exit 2 3000"])
UART.start_app("settings")
RC.push(["right 7 3000", "down 1 2000", "4 1 2000", "3 1 2000", "2 1 2000", "1 1 2000", "1 16 2000"])
UART.start_app("channelseditor")
GRAB.compare(testcase)
############################ TestCase 5 ##########################################
testcase = 5
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 6 ##########################################
testcase = 6
status("active")
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 2000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 7 ##########################################
testcase = 7
status("active")
RC.push(["down 2 3000"])
GRAB.compare(testcase)
############################ TestCase 8 ##########################################
testcase = 8
status("active")
RC.push(["up 2 3000"])
GRAB.compare(testcase)
############################ TestCase 9 ##########################################
testcase = 9
status("active")
RC.push(["down 2 3000"])
GRAB.compare(testcase)
############################ TestCase 10 ##########################################
testcase = 10
status("active")
GRAB.compare(testcase)
############################ TestCase 11 ##########################################
testcase = 11
status("active")
GRAB.compare(testcase)
############################ TestCase 12 ##########################################
testcase = 12
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 13 ##########################################
testcase = 13
status("active")
RC.push(["exit 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 14 ##########################################
testcase = 14
status("active")
GRAB.compare(testcase)
############################ TestCase 15 ##########################################
testcase = 15
status("active")
RC.push(["left 1 3000", "up 2 3000"])
GRAB.compare(testcase)
############################ TestCase 16 ##########################################
testcase = 16
status("active")
RC.push(["down 2 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 17 ##########################################
testcase = 17
status("active")
RC.push(["ok 2 3000"])
GRAB.compare(testcase)
############################ TestCase 18 ##########################################
testcase = 18
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 19 ##########################################
testcase = 19
status("active")
RC.push(["exit 1 3000", "left 1 2000", "down 1 2000"])
GRAB.compare(testcase)
############################ TestCase 20 ##########################################
testcase = 20
status("active")
RC.push(["up 1 3000", "right 1 2000", "down 1 2000"])
GRAB.compare(testcase)
############################ TestCase 21 ##########################################
testcase = 21
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
sleep(1)
GRAB.compare(testcase)
############################ TestCase 22 ##########################################
testcase = 22
status("inactive")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 23 ##########################################
testcase = 23
status("inactive")
UART.start_app("channelseditor")
RC.push(["last 1 2000"])
GRAB.compare(testcase)
############################ TestCase 24 ##########################################
testcase = 24
status("inactive")
UART.start_app("channelseditor")
RC.push(["exit 1 2000"])
GRAB.compare(testcase)
############################ TestCase 25 ##########################################
testcase = 25
status("inactive")
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 26 ##########################################
testcase = 26
status("inactive")
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["left 1 2000"])
GRAB.compare(testcase)
############################ TestCase 27 ##########################################
testcase = 27
status("inactive")
RC.push(["right 1 2000"])
GRAB.compare(testcase)
############################ TestCase 28 ##########################################
testcase = 28
status("inactive")
RC.push(["left 1 2000", "up"])
GRAB.compare(testcase)
############################ TestCase 29 ##########################################
testcase = 29
status("inactive")
RC.push(["down"])
GRAB.compare(testcase)
############################ TestCase 30 ##########################################
testcase = 30
status("inactive")
RC.push(["ok 1 2000"])
GRAB.compare(testcase)
############################ TestCase 31 ##########################################
testcase = 31
status("inactive")
RC.push(["left 1 2000", "red"])
GRAB.compare(testcase)
############################ TestCase 32 ##########################################
testcase = 32
status("inactive")
RC.push(["green"])
GRAB.compare(testcase)
############################ TestCase 33 ##########################################
testcase = 33
status("inactive")
RC.push(["yellow"])
GRAB.compare(testcase)
############################ TestCase 34 ##########################################
testcase = 34
status("inactive")
RC.push(["blue"])
GRAB.compare(testcase)
############################ TestCase 35 ##########################################
testcase = 35
status("inactive")
RC.push(["stb"])
GRAB.compare(testcase)
############################ TestCase 36 ##########################################
testcase = 36
status("inactive")
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["ChUp"])
GRAB.compare(testcase)
############################ TestCase 37 ##########################################
testcase = 37
status("inactive")
RC.push(["ChDown"])
GRAB.compare(testcase)
############################ TestCase 38 ##########################################
testcase = 38
status("inactive")
RC.push(["VolUp 1 2000"])
GRAB.compare(testcase)
############################ TestCase 39 ##########################################
testcase = 39
status("inactive")
RC.push(["VolDown 1 2000"])
GRAB.compare(testcase)
############################ TestCase 40 ##########################################
testcase = 40
status("inactive")
RC.push(["mute 1 2000", "exit 2 3000"])
GRAB.compare(testcase)
############################ TestCase 41 ##########################################
testcase = 41
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
GRAB.compare(testcase)
############################ TestCase 42 ##########################################
testcase = 42
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 43 ##########################################
testcase = 43
status("active")
RC.push(["exit 1 3000", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 44 ##########################################
testcase = 44
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 45 ##########################################
testcase = 45
status("active")
RC.push(["left"])
GRAB.compare(testcase)
############################ TestCase 46 ##########################################
testcase = 46
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 47 ##########################################
testcase = 47
status("active")
RC.push(["left 1 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 48 ##########################################
testcase = 48
status("active")
RC.push(["yellow", "down 4 1000", "right 6 1000", "ok", "left 4 1000", "up", "ok", "blue 1 2500"])
GRAB.compare(testcase)
############################ TestCase 49 ##########################################
testcase = 49
status("active")
RC.push(["exit 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 50 ##########################################
testcase = 50
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 51 ##########################################
testcase = 51
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 52 ##########################################
testcase = 52
status("active")
RC.push(["up 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 53 ##########################################
testcase = 53
status("active")
RC.push(["blue 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 54 ##########################################
testcase = 54
status("active")
RC.push(["blue 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 55 ##########################################
testcase = 55
status("active")
RC.push(["blue 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 56 ##########################################
testcase = 56
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 3000", "ok 1 3000", "down 2 3000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["blue 1 2000"])
GRAB.compare(testcase)
############################ TestCase 57 ##########################################
testcase = 57
status("active")
RC.push(["yellow 1 2000"])
GRAB.compare(testcase)
############################ TestCase 58 ##########################################
testcase = 58
status("active")
RC.push(["exit", "green 1 2000"])
GRAB.compare(testcase)
############################ TestCase 59 ##########################################
testcase = 59
status("active")
RC.push(["mute", "exit 2 5000"])
GRAB.compare(testcase)
############################ TestCase 60 ##########################################
testcase = 60
status("active")
UART.start_app("channelseditor")
RC.push(["VolUp 1 2000"])
GRAB.compare(testcase)
############################ TestCase 61 ##########################################
testcase = 61
status("active")
RC.push(["VolDown 1 2000"])
GRAB.compare(testcase)
############################ TestCase 62 ##########################################
testcase = 62
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 63 ##########################################
testcase = 63
status("active")
UART.start_app("channelseditor")
RC.push(["last 1 2000"])
GRAB.compare(testcase)
############################ TestCase 64 ##########################################
testcase = 64
status("active")
UART.start_app("channelseditor")
RC.push(["stb 1 2000"])
GRAB.compare(testcase)
############################ TestCase 65 ##########################################
testcase = 65
status("active")
UART.start_app("channelseditor")
RC.push(["exit 1 2000"])
GRAB.compare(testcase)
############################ TestCase 66 ##########################################
testcase = 66
status("active")
UART.start_app("channelseditor")
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 67 ##########################################
testcase = 67
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 2000", "ok 1 3000", "right 1 2000", "ok 1 3000", "ok 5 2000", "exit 1 3000", "left 1 3000", "up 2 2000"])
GRAB.compare(testcase)
############################ TestCase 68 ##########################################
testcase = 68
status("active")
RC.push(["ok 3000"])
GRAB.compare(testcase)
############################ TestCase 69 ##########################################
testcase = 69
status("active")
RC.push(["exit", "ChUp 2 2000"])
GRAB.compare(testcase)
############################ TestCase 70 ##########################################
testcase = 70
status("active")
RC.push(["ChDown 1 2000"])
GRAB.compare(testcase)
############################ TestCase 71 ##########################################
testcase = 71
status("active")
RC.push(["ChDown 1 2000", "left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 72 ##########################################
testcase = 72
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 73 ##########################################
testcase = 73
status("active")
RC.push(["left 1 2000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 74 ##########################################
testcase = 74
status("active")
RC.push(["yellow", "down 4 1000", "right 6 1000", "ok", "left 4 1000", "up", "ok", "blue 1 2500"])
GRAB.compare(testcase)
############################ TestCase 75 ##########################################
testcase = 75
status("active")
RC.push(["exit 1 2000", "blue 1 2000"])
GRAB.compare(testcase)
############################ TestCase 76 ##########################################
testcase = 76
status("active")
RC.push(["up 1 2000"])
GRAB.compare(testcase)
############################ TestCase 77 ##########################################
testcase = 77
status("active")
RC.push(["down 1 2000"])
GRAB.compare(testcase)
############################ TestCase 78 ##########################################
testcase = 78
status("active")
RC.push(["blue 1 2000"])
GRAB.compare(testcase)
############################ TestCase 79 ##########################################
testcase = 79
status("active")
RC.push(["blue 1 2000", "ok 1 2000"])
GRAB.compare(testcase)
############################ TestCase 80 ##########################################
testcase = 80
status("active")
RC.push(["blue 1 2000", "exit 1 2000"])
GRAB.compare(testcase)
############################ TestCase 81 ##########################################
testcase = 81
status("active")
RC.push(["blue 1 2000", "right 1 2000"])
GRAB.compare(testcase)
############################ TestCase 82 ##########################################
testcase = 82
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["blue 1 2000"])
GRAB.compare(testcase)
############################ TestCase 83 ##########################################
testcase = 83
status("active")
RC.push(["yellow 1 2000"])
GRAB.compare(testcase)
############################ TestCase 84 ##########################################
testcase = 84
status("active")
RC.push(["ok 1 2000"])
GRAB.compare(testcase)
############################ TestCase 85 ##########################################
testcase = 85
status("active")
RC.push(["yellow 1 2000", "left", "ok 1 2000"])
GRAB.compare(testcase)
############################ TestCase 86 ##########################################
testcase = 86
status("active")
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["green 1 2000"])
GRAB.compare(testcase)
############################ TestCase 87 ##########################################
testcase = 87
status("active")
RC.push(["mute 1 2000", "exit 2 3000"])
GRAB.compare(testcase)
############################ TestCase 88 ##########################################
testcase = 88
status("active")
UART.start_app("channelseditor")
RC.push(["VolUp 1 2000"])
GRAB.compare(testcase)
############################ TestCase 89 ##########################################
testcase = 89
status("active")
RC.push(["VolDown 1 2000"])
GRAB.compare(testcase)
############################ TestCase 90 ##########################################
testcase = 90
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 91 ##########################################
testcase = 91
status("active")
UART.start_app("channelseditor")
RC.push(["last 1 2000"])
GRAB.compare(testcase)
############################ TestCase 92 ##########################################
testcase = 92
status("active")
UART.start_app("channelseditor")
RC.push(["stb 1 2000"])
GRAB.compare(testcase)
############################ TestCase 93 ##########################################
testcase = 93
status("active")
UART.start_app("channelseditor")
RC.push(["exit 1 2000"])
GRAB.compare(testcase)
############################ TestCase 94 ##########################################
testcase = 94
status("active")
RC.push(["exit 2 2000"])
UART.start_app("channelseditor")
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 95 ##########################################
testcase = 95
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 2000", "ok 1 3000", "right 1 2000", "ok 1 3000", "ok 5 2000", "exit 1 3000", "left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 96 ##########################################
testcase = 96
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 97 ##########################################
testcase = 97
status("active")
RC.push(["exit 1 3000", "ChUp 2 3000"])
GRAB.compare(testcase)
############################ TestCase 98 ##########################################
testcase = 98
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 99 ##########################################
testcase = 99
status("active")
RC.push(["ChDown 1 3000", "left 1 2000"])
GRAB.compare(testcase)
############################ TestCase 100 ##########################################
testcase = 100
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 101 ##########################################
testcase = 101
status("active")
RC.push(["left 1 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 102 ##########################################
testcase = 102
status("active")
RC.push(["yellow", "down 4 1000", "right 6 1000", "ok", "left 4 1000", "up", "ok", "blue 1 2500"])
GRAB.compare(testcase)
############################ TestCase 103 ##########################################
testcase = 103
status("active")
RC.push(["exit 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 104 ##########################################
testcase = 104
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 105 ##########################################
testcase = 105
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 106 ##########################################
testcase = 106
status("active")
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 107 ##########################################
testcase = 107
status("active")
RC.push(["blue 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 108 ##########################################
testcase = 108
status("active")
RC.push(["blue 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 109 ##########################################
testcase = 109
status("active")
RC.push(["blue 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 110 ##########################################
testcase = 110
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 2000", "ok 1 3000", "right 1 2000", "ok 1 3000", "ok 5 2000", "exit 1 3000", "left 1 3000", "up 1 2000", "yellow 1 2000", "left", "ok 1 2000"])
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 111 ##########################################
testcase = 111
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 112 ##########################################
testcase = 112
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 113 ##########################################
testcase = 113
status("active")
RC.push(["yellow 1 3000", "left", "ok 1 2000"])
GRAB.compare(testcase)
############################ TestCase 114 ##########################################
testcase = 114
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 2000", "ok 1 3000", "right 1 2000", "ok 1 3000", "ok 5 2000", "exit 1 3000", "left 1 3000", "up 1 2000", "yellow 1 2000", "left", "ok 1 2000"])
RC.push(["blue 1 3000"])
RC.push(["green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 115 ##########################################
testcase = 115
status("active")
RC.push(["yellow", "down 4 1000", "right 6 1000", "ok", "left 4 1000", "up", "ok", "blue 1 2500"])
GRAB.compare(testcase)
############################ TestCase 116 ##########################################
testcase = 116
status("active")
RC.push(["2 5 3000", "ok 1 5000"])
GRAB.compare(testcase)
############################ TestCase 117 ##########################################
testcase = 117
status("active")
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["down 1 2000", "mute 1 2000", "exit 2 3000"])
GRAB.compare(testcase)
############################ TestCase 118 ##########################################
testcase = 118
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "VolUp 1 2000"])
GRAB.compare(testcase)
############################ TestCase 119 ##########################################
testcase = 119
status("active")
RC.push(["VolDown 1 2000"])
GRAB.compare(testcase)
############################ TestCase 120 ##########################################
testcase = 120
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 121 ##########################################
testcase = 121
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "last 1 2000"])
GRAB.compare(testcase)
############################ TestCase 122 ##########################################
testcase = 122
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "stb 1 2000"])
GRAB.compare(testcase)
############################ TestCase 123 ##########################################
testcase = 123
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "exit 1 2000"])
GRAB.compare(testcase)
############################ TestCase 124 ##########################################
testcase = 124
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 125 ##########################################
testcase = 125
status("active")
UART.start_app("channelseditor")
RC.push(["up 1 2000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 126 ##########################################
testcase = 126
status("active")
RC.push(["yellow", "2 5 3000", "blue 1 2500"])
GRAB.compare(testcase)
############################ TestCase 127 ##########################################
testcase = 127
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 128 ##########################################
testcase = 128
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 129 ##########################################
testcase = 129
status("active")
RC.push(["exit", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 130 ##########################################
testcase = 130
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 131 ##########################################
testcase = 131
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 132 ##########################################
testcase = 132
status("active")
RC.push(["right 2 3000"])
GRAB.compare(testcase)
############################ TestCase 133 ##########################################
testcase = 133
status("active")
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 134 ##########################################
testcase = 134
status("active")
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 135 ##########################################
testcase = 135
status("active")
RC.push(["green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 136 ##########################################
testcase = 136
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 137 ##########################################
testcase = 137
status("active")
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 138 ##########################################
testcase = 138
status("active")
RC.push(["mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 139 ##########################################
testcase = 139
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 140 ##########################################
testcase = 140
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 141 ##########################################
testcase = 141
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 142 ##########################################
testcase = 142
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 143 ##########################################
testcase = 143
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 144 ##########################################
testcase = 144
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 145 ##########################################
testcase = 145
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 146 ##########################################
testcase = 146
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 147 ##########################################
testcase = 147
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 148 ##########################################
testcase = 148
status("active")
RC.push(["exit", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 149 ##########################################
testcase = 149
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 150 ##########################################
testcase = 150
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 151 ##########################################
testcase = 151
status("active")
RC.push(["right 2 3000"])
GRAB.compare(testcase)
############################ TestCase 152 ##########################################
testcase = 152
status("active")
RC.push(["green 1 7000"])
GRAB.compare(testcase)
############################ TestCase 153 ##########################################
testcase = 153
status("active")
RC.push(["exit 1 2000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 154 ##########################################
testcase = 154
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 155 ##########################################
testcase = 155
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 156 ##########################################
testcase = 156
status("active")
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 157 ##########################################
testcase = 157
status("active")
RC.push(["blue 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 158 ##########################################
testcase = 158
status("active")
RC.push(["blue 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 159 ##########################################
testcase = 159
status("active")
RC.push(["blue 1 3000", "left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 160 ##########################################
testcase = 160
status("active")
RC.push(["right 1 3000"])
RC.push(["yellow 8 3000"])
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 161 ##########################################
testcase = 161
status("active")
GRAB.compare(testcase)
############################ TestCase 162 ##########################################
testcase = 162
status("active")
RC.push(["left 1 3000", "red 1 3000", "3 5 3000", "ok 1 3000", "right 1 2000", "ok 1 3000", "ok 1 2000", "exit 1 2000"])
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 163 ##########################################
testcase = 163
status("active")
RC.push(["up 1 3000", "right 1 2000", "yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 164 ##########################################
testcase = 164
if platform in ["E212"]:
status("active")
else:
status("inactive")
GRAB.compare(testcase)
############################ TestCase 165 ##########################################
testcase = 165
status("active")
GRAB.compare(testcase)
############################ TestCase 166 ##########################################
testcase = 166
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 167 ##########################################
testcase = 167
status("active")
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 168 ##########################################
testcase = 168
status("active")
RC.push(["mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 169 ##########################################
testcase = 169
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["VolUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 170 ##########################################
testcase = 170
status("active")
RC.push(["VolDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 171 ##########################################
testcase = 171
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 172 ##########################################
testcase = 172
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 173 ##########################################
testcase = 173
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 174 ##########################################
testcase = 174
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 175 ##########################################
testcase = 175
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 176 ##########################################
testcase = 176
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["up 1 3000", "ok 1 7000"])
GRAB.compare(testcase)
############################ TestCase 177 ##########################################
testcase = 177
status("active")
RC.push(["exit 1 3000", "up 1 3000", "left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 178 ##########################################
testcase = 178
status("active")
RC.push(["right 1 3000", "up 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 179 ##########################################
testcase = 179
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 180 ##########################################
testcase = 180
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 181 ##########################################
testcase = 181
status("active")
RC.push(["ok 1 3000", "left", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 182 ##########################################
testcase = 182
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 3000", "ok 1 5000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 183 ##########################################
testcase = 183
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 184 ##########################################
testcase = 184
status("active")
RC.push(["exit 1 3000", "ChUp"])
GRAB.compare(testcase)
############################ TestCase 185 ##########################################
testcase = 185
status("active")
RC.push(["ChDown"])
GRAB.compare(testcase)
############################ TestCase 186 ##########################################
testcase = 186
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 187 ##########################################
testcase = 187
status("active")
RC.push(["right 2 3000"])
GRAB.compare(testcase)
############################ TestCase 188 ##########################################
testcase = 188
status("active")
RC.push(["green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 189 ##########################################
testcase = 189
status("active")
RC.push(["exit 1 3000", "red"])
GRAB.compare(testcase)
############################ TestCase 190 ##########################################
testcase = 190
status("active")
RC.push(["yellow"])
GRAB.compare(testcase)
############################ TestCase 191 ##########################################
testcase = 191
status("active")
RC.push(["blue"])
GRAB.compare(testcase)
############################ TestCase 192 ##########################################
testcase = 192
status("active")
RC.push(["mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 193 ##########################################
testcase = 193
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000", "VolUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 194 ##########################################
testcase = 194
status("active")
RC.push(["VolDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 195 ##########################################
testcase = 195
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 196 ##########################################
testcase = 196
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000", "last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 197 ##########################################
testcase = 197
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000", "stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 198 ##########################################
testcase = 198
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 199 ##########################################
testcase = 199
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000"])
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 200 ##########################################
testcase = 200
status("active")
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1", "2", "3", "4", "5", "6", "7", "8", "9", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 201 ##########################################
testcase = 201
status("active")
RC.push(["red 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 202 ##########################################
testcase = 202
status("active")
RC.push(["red 1 3000", "0 3 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 203 ##########################################
testcase = 203
status("active")
RC.push(["red 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 204 ##########################################
testcase = 204
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 205 ##########################################
testcase = 205
status("active")
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 206 ##########################################
testcase = 206
status("active")
RC.push(["ok 2 3000", "ChUp"])
GRAB.compare(testcase)
############################ TestCase 207 ##########################################
testcase = 207
status("active")
RC.push(["ChDown"])
GRAB.compare(testcase)
############################ TestCase 208 ##########################################
testcase = 208
status("active")
RC.push(["left"])
GRAB.compare(testcase)
############################ TestCase 209 ##########################################
testcase = 209
status("active")
RC.push(["right"])
GRAB.compare(testcase)
############################ TestCase 210 ##########################################
testcase = 210
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 211 ##########################################
testcase = 211
status("active")
RC.push(["up 1 3000", "ok 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 212 ##########################################
testcase = 212
status("active")
RC.push(["down 2 3000", "ok 2 3000"])
GRAB.compare(testcase)
############################ TestCase 213 ##########################################
testcase = 213
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 214 ##########################################
testcase = 214
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "ok 1 3000", "down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 215 ##########################################
testcase = 215
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "ok 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 216 ##########################################
testcase = 216
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 217 ##########################################
testcase = 217
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 218 ##########################################
testcase = 218
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["ok 2 3000"])
GRAB.compare(testcase)
############################ TestCase 219 ##########################################
testcase = 219
status("active")
RC.push(["ok 1 3000"])
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 220 ##########################################
testcase = 220
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 221 ##########################################
testcase = 221
status("active")
RC.push(["exit 1 2000", "ok 1 2000", "green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 222 ##########################################
testcase = 222
status("active")
RC.push(["mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 223 ##########################################
testcase = 223
status("active")
UART.start_app("channelseditor")
RC.push(["ok 1 3000", "VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 224 ##########################################
testcase = 224
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 225 ##########################################
testcase = 225
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 226 ##########################################
testcase = 226
status("active")
UART.start_app("channelseditor")
RC.push(["ok 1 3000", "last 1 2000"])
GRAB.compare(testcase)
############################ TestCase 227 ##########################################
testcase = 227
status("active")
UART.start_app("channelseditor")
RC.push(["ok 1 3000", "stb 1 2000"])
GRAB.compare(testcase)
############################ TestCase 228 ##########################################
testcase = 228
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 229 ##########################################
testcase = 229
status("active")
RC.push(["ok 1 3000"])
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 230 ##########################################
testcase = 230
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 231 ##########################################
testcase = 231
status("active")
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 232 ##########################################
testcase = 232
status("active")
RC.push(["ok 1 3000", "ChDown 1 2000"])
GRAB.compare(testcase)
############################ TestCase 233 ##########################################
testcase = 233
status("active")
RC.push(["ChUp 1 2000"])
GRAB.compare(testcase)
############################ TestCase 234 ##########################################
testcase = 234
status("active")
RC.push(["right 1 2000"])
GRAB.compare(testcase)
############################ TestCase 235 ##########################################
testcase = 235
status("active")
RC.push(["left 1 2000"])
GRAB.compare(testcase)
############################ TestCase 236 ##########################################
testcase = 236
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 237 ##########################################
testcase = 237
status("active")
RC.push(["ok 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 238 ##########################################
testcase = 238
status("active")
RC.push(["ok 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 239 ##########################################
testcase = 239
status("active")
RC.push(["ok 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 240 ##########################################
testcase = 240
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 241 ##########################################
testcase = 241
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 242 ##########################################
testcase = 242
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 243 ##########################################
testcase = 243
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 244 ##########################################
testcase = 244
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["ok 2 3000"])
GRAB.compare(testcase)
############################ TestCase 245 ##########################################
testcase = 245
status("active")
RC.push(["ok 1 3000", "right", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 246 ##########################################
testcase = 246
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 247 ##########################################
testcase = 247
status("active")
RC.push(["ok 1 3000", "right", "ok 1 3000", "left", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 248 ##########################################
testcase = 248
status("active")
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["ok 1 3000"])
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 249 ##########################################
testcase = 249
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 250 ##########################################
testcase = 250
status("active")
RC.push(["exit 1 3000", "ok 1 3000", "green"])
GRAB.compare(testcase)
############################ TestCase 251 ##########################################
testcase = 251
status("active")
RC.push(["mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 252 ##########################################
testcase = 252
status("active")
UART.start_app("channelseditor")
RC.push(["ok 1 3000"])
RC.push(["VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 253 ##########################################
testcase = 253
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 254 ##########################################
testcase = 254
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 255 ##########################################
testcase = 255
status("active")
UART.start_app("channelseditor")
RC.push(["ok 1 3000"])
RC.push(["last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 256 ##########################################
testcase = 256
status("active")
UART.start_app("channelseditor")
RC.push(["ok 1 3000"])
RC.push(["stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 257 ##########################################
testcase = 257
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 258 ##########################################
testcase = 258
status("active")
RC.push(["ok 1 3000"])
RC.push(["standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 259 ##########################################
testcase = 259
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 3000", "ok 1 5000", "right 1 3000", "ok 1 3000", "ok 5 3000", "exit 1 2000", "left 1 2000", "ok 1 2000"])
GRAB.compare(testcase)
############################ TestCase 260 ##########################################
testcase = 260
status("active")
RC.push(["blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 261 ##########################################
testcase = 261
status("active")
RC.push(["ok 2 3000", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 262 ##########################################
testcase = 262
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 263 ##########################################
testcase = 263
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 264 ##########################################
testcase = 264
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 265 ##########################################
testcase = 265
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 266 ##########################################
testcase = 266
status("active")
RC.push(["up 2 3000", "ok 1 2000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 267 ##########################################
testcase = 267
status("active")
RC.push(["down 1 3000", "ok 1 2000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 268 ##########################################
testcase = 268
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 269 ##########################################
testcase = 269
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 270 ##########################################
testcase = 270
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 271 ##########################################
testcase = 271
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 272 ##########################################
testcase = 272
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 273 ##########################################
testcase = 273
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 3000", "ok 1 5000", "right 1 3000", "ok 1 3000", "ok 5 3000", "exit 1 2000", "left 1 2000", "up 1 3000", "yellow 1 2000", "left", "ok 1 3000"])
RC.push(["ok 2 3000"])
GRAB.compare(testcase)
############################ TestCase 274 ##########################################
testcase = 274
status("active")
RC.push(["ok 1 3000", "right 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 275 ##########################################
testcase = 275
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 276 ##########################################
testcase = 276
status("active")
RC.push(["ok 1 3000", "right 1 3000", "ok 1 3000", "left", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 277 ##########################################
testcase = 277
status("active")
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["red 1 3000", "1 5 3000", "ok 1 5000", "right 1 3000", "ok 1 3000", "ok 5 3000", "exit 1 2000", "left 1 2000", "up 1 3000", "yellow 1 2000", "left", "ok 1 3000"])
RC.push(["ok 1 3000", "right 2 2000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 278 ##########################################
testcase = 278
status("active")
RC.push(["1 5 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 279 ##########################################
testcase = 279
status("active")
RC.push(["2 5 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 280 ##########################################
testcase = 280
status("active")
RC.push(["ok 1 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 281 ##########################################
testcase = 281
status("active")
RC.push(["ok 1 3000", "yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 282 ##########################################
testcase = 282
status("active")
RC.push(["exit 1 2000", "ok 1 3000", "green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 283 ##########################################
testcase = 283
status("active")
RC.push(["exit 1 2000", "ok 1 3000", "mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 284 ##########################################
testcase = 284
status("active")
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1", "2", "2", "2", "6 1 2000", "down 3 2000", "ok 1 2000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["down 1 2000", "ok 1 3000", "VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 285 ##########################################
testcase = 285
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 286 ##########################################
testcase = 286
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 287 ##########################################
testcase = 287
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "ok 1 3000", "last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 288 ##########################################
testcase = 288
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 2000", "ok 1 3000", "stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 289 ##########################################
testcase = 289
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 290 ##########################################
testcase = 290
status("active")
RC.push(["ok 1 3000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 291 ##########################################
testcase = 291
status("active")
UART.default_settings()
if platform in ["E501", "E502", "A230"]:
RC.push(searching_from_wizard_general_E501)
else:
RC.push(searching_from_wizard_general_ALL)
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 292 ##########################################
testcase = 292
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 293 ##########################################
testcase = 293
status("active")
RC.push(["ok 1 3000", "ChUp"])
GRAB.compare(testcase)
############################ TestCase 294 ##########################################
testcase = 294
status("active")
RC.push(["ChDown"])
GRAB.compare(testcase)
############################ TestCase 295 ##########################################
testcase = 295
status("active")
RC.push(["left"])
GRAB.compare(testcase)
############################ TestCase 296 ##########################################
testcase = 296
status("active")
RC.push(["right"])
GRAB.compare(testcase)
############################ TestCase 297 ##########################################
testcase = 297
status("active")
RC.push(["ok 1 3000", "down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 298 ##########################################
testcase = 298
status("active")
RC.push(["ok 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 299 ##########################################
testcase = 299
status("active")
RC.push(["ok 1 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 300 ##########################################
testcase = 300
status("active")
RC.push(["ok 1 3000", "green"])
GRAB.compare(testcase)
############################ TestCase 301 ##########################################
testcase = 301
status("active")
RC.push(["yellow"])
GRAB.compare(testcase)
############################ TestCase 302 ##########################################
testcase = 302
status("active")
RC.push(["blue"])
GRAB.compare(testcase)
############################ TestCase 303 ##########################################
testcase = 303
status("active")
RC.push(["mute", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 304 ##########################################
testcase = 304
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["ok 1 3000", "VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 305 ##########################################
testcase = 305
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 306 ##########################################
testcase = 306
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 307 ##########################################
testcase = 307
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["ok 1 3000", "last 1 2500"])
GRAB.compare(testcase)
############################ TestCase 308 ##########################################
testcase = 308
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["ok 1 3000", "stb 1 2500"])
GRAB.compare(testcase)
############################ TestCase 309 ##########################################
testcase = 309
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 310 ##########################################
testcase = 310
status("active")
UART.start_app("channelseditor")
RC.push(["right 1 3000"])
RC.push(["ok 1 3000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 311 ##########################################
testcase = 311
status("active")
UART.default_settings()
RC.push(["exit 2 3000"])
UART.start_app("dvbsmanualscanner")
RC.push(["left 5 2400", "1 1 2000", "2 1 2000", "2 1 2000", "2 1 2000", "6 1 4000", "down 3 2000", "ok 1 3000", "down 2 2000", "ok 1 20000", "ok 1 5000"])
RC.push(["exit 2 3000"])
UART.start_app("channelseditor")
RC.push(["right 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 312 ##########################################
testcase = 312
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 313 ##########################################
testcase = 313
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 314 ##########################################
testcase = 314
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 315 ##########################################
testcase = 315
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 316 ##########################################
testcase = 316
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 317 ##########################################
testcase = 317
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 318 ##########################################
testcase = 318
status("active")
RC.push(["ok 1 3000", "ok 1 3000", "left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 319 ##########################################
testcase = 319
status("active")
RC.push(["red 1 3000", "1 5 3000", "ok 1 3000", "right 1 3000", "ok 1 3000", "ok 1 3000", "exit 1 3000", "ok 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 320 ##########################################
testcase = 320
status("active")
RC.push(["ok 1 3000", "right 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 321 ##########################################
testcase = 321
status("active")
GRAB.compare(testcase)
############################ TestCase 322 ##########################################
testcase = 322
status("active")
RC.push(["right 1 3000", "ok 1 3000", "ok 1 3000", "ok 1 3000", "exit 1 3000", "ok 1 3000", "right 2 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 323 ##########################################
testcase = 323
status("active")
RC.push(["ok 1 3000", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 324 ##########################################
testcase = 324
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 325 ##########################################
testcase = 325
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 326 ##########################################
testcase = 326
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 327 ##########################################
testcase = 327
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 328 ##########################################
testcase = 328
status("active")
RC.push(["ok 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 329 ##########################################
testcase = 329
status("active")
RC.push(["ok 1 3000", "green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 330 ##########################################
testcase = 330
status("active")
RC.push(["ok 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 331 ##########################################
testcase = 331
status("active")
RC.push(["ok 1 3000", "yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 332 ##########################################
testcase = 332
status("active")
RC.push(["ok 1 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 333 ##########################################
testcase = 333
status("active")
RC.push(["ok 1 3000", "mute 1 3000", "exit 3 5000"])
GRAB.compare(testcase)
############################ TestCase 334 ##########################################
testcase = 334
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000", "ok 1 3000", "VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 335 ##########################################
testcase = 335
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 336 ##########################################
testcase = 336
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 337 ##########################################
testcase = 337
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000", "ok 1 3000", "last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 338 ##########################################
testcase = 338
status("active")
UART.start_app("channelseditor")
RC.push(["down 1 3000", "right 1 3000", "ok 1 3000", "stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 339 ##########################################
testcase = 339
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 340 ##########################################
testcase = 340
status("active")
RC.push(["ok 1 3000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 341 ##########################################
testcase = 341
status("active")
UART.start_app("channelseditor")
RC.push(["red 1 3000", "2 5 3000", "ok 1 3000", "right 1 3000", "ok 1 3000", "ok 3 3000", "exit 1 3000", "left 1 3000"])
RC.push(["red 1 3000", "3 5 3000", "ok 1 3000", "right 1 3000", "ok 1 3000", "ok 4 3000", "exit 1 3000"])
RC.push(["green 1 8000"])
GRAB.compare(testcase)
############################ TestCase 342 ##########################################
testcase = 342
status("active")
GRAB.compare(testcase)
############################ TestCase 343 ##########################################
testcase = 343
status("active")
GRAB.compare(testcase)
############################ TestCase 344 ##########################################
testcase = 344
status("active")
GRAB.compare(testcase)
############################ TestCase 345 ##########################################
testcase = 345
status("active")
GRAB.compare(testcase)
############################ TestCase 346 ##########################################
testcase = 346
status("active")
GRAB.compare(testcase)
############################ TestCase 347 ##########################################
testcase = 347
status("active")
GRAB.compare(testcase)
############################ TestCase 348 ##########################################
testcase = 348
status("active")
GRAB.compare(testcase)
############################ TestCase 349 ##########################################
testcase = 349
status("active")
GRAB.compare(testcase)
############################ TestCase 350 ##########################################
testcase = 350
status("active")
GRAB.compare(testcase)
############################ TestCase 351 ##########################################
testcase = 351
status("active")
GRAB.compare(testcase)
############################ TestCase 352 ##########################################
testcase = 352
status("active")
GRAB.compare(testcase)
############################ TestCase 353 ##########################################
testcase = 353
status("active")
GRAB.compare(testcase)
############################ TestCase 354 ##########################################
testcase = 354
status("active")
GRAB.compare(testcase)
############################ TestCase 355 ##########################################
testcase = 355
status("active")
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 356 ##########################################
testcase = 356
status("active")
GRAB.compare(testcase)
############################ TestCase 357 ##########################################
testcase = 357
status("active")
GRAB.compare(testcase)
############################ TestCase 358 ##########################################
testcase = 358
status("active")
GRAB.compare(testcase)
############################ TestCase 359 ##########################################
testcase = 359
status("active")
GRAB.compare(testcase)
############################ TestCase 360 ##########################################
testcase = 360
status("active")
GRAB.compare(testcase)
############################ TestCase 361 ##########################################
testcase = 361
status("active")
GRAB.compare(testcase)
############################ TestCase 362 ##########################################
testcase = 362
status("active")
GRAB.compare(testcase)
############################ TestCase 363 ##########################################
testcase = 363
status("active")
GRAB.compare(testcase)
############################ TestCase 364 ##########################################
testcase = 364
status("active")
GRAB.compare(testcase)
############################ TestCase 365 ##########################################
testcase = 365
status("active")
GRAB.compare(testcase)
############################ TestCase 366 ##########################################
testcase = 366
status("active")
GRAB.compare(testcase)
############################ TestCase 367 ##########################################
testcase = 367
status("active")
RC.push(["red 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 368 ##########################################
testcase = 368
status("active")
RC.push(["ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 369 ##########################################
testcase = 369
status("active")
RC.push(["up 1 3000", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 370 ##########################################
testcase = 370
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 371 ##########################################
testcase = 371
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 372 ##########################################
testcase = 372
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 373 ##########################################
testcase = 373
status("active")
RC.push(["down 4 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 374 ##########################################
testcase = 374
status("active")
RC.push(["up 3 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 375 ##########################################
testcase = 375
status("active")
RC.push(["down 1 3000", "left 1 3000", "right 1 3000", "up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 376 ##########################################
testcase = 376
status("active")
RC.push(["down 2 3000", "up 1 3000", "down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 377 ##########################################
testcase = 377
status("active")
RC.push(["down 3 3000", "down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 378 ##########################################
testcase = 378
status("active")
RC.push(["up 1 3000", "left 2 3000", "down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 379 ##########################################
testcase = 379
status("active")
RC.push(["exit 3 3000"])
UART.start_app("tricolorsearch")
RC.push(["right 1 3000", "ok 1 3000", "ok 1 5000", "ok 1 20000", "ok 1 3000"])
UART.start_app("channelseditor")
RC.push(["down 4 3000", "right 1 3000", "green 1 3000", "tv/radio 1 3000"])
GRAB.compare(testcase)
############################ TestCase 380 ##########################################
testcase = 380
status("active")
RC.push(["mute 1 3000", "exit 3 3000"])
GRAB.compare(testcase)
############################ TestCase 381 ##########################################
testcase = 381
status("active")
UART.start_app("channelseditor")
RC.push(["down 3 3000", "right 1 3000", "green 1 3000", "down 2 3000", "VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 382 ##########################################
testcase = 382
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 383 ##########################################
testcase = 383
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 384 ##########################################
testcase = 384
status("active")
UART.start_app("channelseditor")
RC.push(["down 3 3000", "right 1 3000", "green 1 3000", "down 2 3000", "last 1 2500"])
GRAB.compare(testcase)
############################ TestCase 385 ##########################################
testcase = 385
status("active")
UART.start_app("channelseditor")
RC.push(["down 3 3000", "right 1 3000", "green 1 3000", "down 2 3000", "stb 1 2500"])
GRAB.compare(testcase)
############################ TestCase 386 ##########################################
testcase = 386
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 387 ##########################################
testcase = 387
status("active")
RC.push(["green 1 3000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 388 ##########################################
testcase = 388
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 3000", "down 2 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 389 ##########################################
testcase = 389
status("active")
RC.push(["red 1 3000", "blue"])
GRAB.compare(testcase)
############################ TestCase 390 ##########################################
testcase = 390
status("active")
RC.push(["green"])
GRAB.compare(testcase)
############################ TestCase 391 ##########################################
testcase = 391
status("active")
RC.push(["yellow"])
GRAB.compare(testcase)
############################ TestCase 392 ##########################################
testcase = 392
status("active")
RC.push(["red 1 3000", "left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 393 ##########################################
testcase = 393
status("active")
RC.push(["down 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 394 ##########################################
testcase = 394
status("active")
RC.push(["left 1 3000", "ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 395 ##########################################
testcase = 395
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 396 ##########################################
testcase = 396
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 397 ##########################################
testcase = 397
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 398 ##########################################
testcase = 398
status("active")
RC.push(["left 1 3000", "down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 399 ##########################################
testcase = 399
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 400 ##########################################
testcase = 400
status("active")
RC.push(["right 1 3000", "down 2 2000", "left 1 2000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 401 ##########################################
testcase = 401
status("active")
RC.push(["up 2 3000", "left 1 2000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 402 ##########################################
testcase = 402
status("active")
RC.push(["left 1 3000", "down 1 2000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 403 ##########################################
testcase = 403
status("active")
RC.push(["left 1 3000", "up 1 2000", "right 1 3000", "down 2 3000", "right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 404 ##########################################
testcase = 404
status("active")
RC.push(["tv/radio 1 3000"])
GRAB.compare(testcase)
############################ TestCase 405 ##########################################
testcase = 405
status("active")
RC.push(["mute 1 3000"])
GRAB.compare(testcase)
############################ TestCase 406 ##########################################
testcase = 406
status("active")
RC.push(["VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 407 ##########################################
testcase = 407
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 408 ##########################################
testcase = 408
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 409 ##########################################
testcase = 409
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 3000", "down 2 3000", "red 1 3000", "left 1 3000", "last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 410 ##########################################
testcase = 410
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 3000", "down 2 3000", "red 1 3000", "left 1 3000", "stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 411 ##########################################
testcase = 411
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 412 ##########################################
testcase = 412
status("active")
RC.push(["green 1 3000", "down 2 3000", "left 1 3000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 413 ##########################################
testcase = 413
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 3000", "left 1 3000", "down 2 3000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 414 ##########################################
testcase = 414
status("active")
RC.push(["red 1 3000", "left 1 2000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 415 ##########################################
testcase = 415
status("active")
RC.push(["green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 416 ##########################################
testcase = 416
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 417 ##########################################
testcase = 417
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 8000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 418 ##########################################
testcase = 418
status("active")
RC.push(["down 2 5000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 419 ##########################################
testcase = 419
status("active")
RC.push(["ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 420 ##########################################
testcase = 420
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 421 ##########################################
testcase = 421
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 422 ##########################################
testcase = 422
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 423 ##########################################
testcase = 423
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 424 ##########################################
testcase = 424
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 425 ##########################################
testcase = 425
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 426 ##########################################
testcase = 426
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 427 ##########################################
testcase = 427
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 428 ##########################################
testcase = 428
status("active")
RC.push(["down 2 3000"])
GRAB.compare(testcase)
############################ TestCase 429 ##########################################
testcase = 429
status("active")
RC.push(["tv/radio 1 3000"])
GRAB.compare(testcase)
############################ TestCase 430 ##########################################
testcase = 430
status("active")
RC.push(["left 1 3000", "down 1 3000", "mute 1 3000"])
GRAB.compare(testcase)
############################ TestCase 431 ##########################################
testcase = 431
status("active")
RC.push(["VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 432 ##########################################
testcase = 432
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 433 ##########################################
testcase = 433
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 434 ##########################################
testcase = 434
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 8000", "last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 435 ##########################################
testcase = 435
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 14000", "stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 436 ##########################################
testcase = 436
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 437 ##########################################
testcase = 437
status("active")
RC.push(["green 1 8000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 438 ##########################################
testcase = 438
status("active")
UART.start_app("channelseditor")
RC.push(["down 3 3000", "right 1 3000", "green 1 8000", "left 1 2000", "down 1 2000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 439 ##########################################
testcase = 439
status("active")
RC.push(["red 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 440 ##########################################
testcase = 440
status("active")
RC.push(["green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 441 ##########################################
testcase = 441
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 442 ##########################################
testcase = 442
status("active")
UART.start_app("channelseditor")
RC.push(["down 5 3000", "right 1 3000", "green 1 8000", "red 1 3000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 443 ##########################################
testcase = 443
status("active")
RC.push(["down 2 8000", "ok 1 3000"])
GRAB.compare(testcase)
############################ TestCase 444 ##########################################
testcase = 444
status("active")
RC.push(["ChUp 1 3000"])
GRAB.compare(testcase)
############################ TestCase 445 ##########################################
testcase = 445
status("active")
RC.push(["ChDown 1 3000"])
GRAB.compare(testcase)
############################ TestCase 446 ##########################################
testcase = 446
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 447 ##########################################
testcase = 447
status("active")
RC.push(["left 1 3000"])
GRAB.compare(testcase)
############################ TestCase 448 ##########################################
testcase = 448
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 449 ##########################################
testcase = 449
status("active")
RC.push(["right 1 3000"])
GRAB.compare(testcase)
############################ TestCase 450 ##########################################
testcase = 450
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 451 ##########################################
testcase = 451
status("active")
RC.push(["up 1 3000"])
GRAB.compare(testcase)
############################ TestCase 452 ##########################################
testcase = 452
status("active")
RC.push(["down 1 3000"])
GRAB.compare(testcase)
############################ TestCase 453 ##########################################
testcase = 453
status("active")
RC.push(["down 2 3000"])
GRAB.compare(testcase)
############################ TestCase 454 ##########################################
testcase = 454
status("active")
RC.push(["tv/radio 1 3000"])
GRAB.compare(testcase)
############################ TestCase 455 ##########################################
testcase = 455
status("active")
RC.push(["left 1 3000", "down 1 3000", "mute 1 3000"])
GRAB.compare(testcase)
############################ TestCase 456 ##########################################
testcase = 456
status("active")
RC.push(["VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 457 ##########################################
testcase = 457
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 458 ##########################################
testcase = 458
status("active")
RC.push(["menu 1 3000"])
GRAB.compare(testcase)
############################ TestCase 459 ##########################################
testcase = 459
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 8000", "last 1 3000"])
GRAB.compare(testcase)
############################ TestCase 460 ##########################################
testcase = 460
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 8000", "stb 1 3000"])
GRAB.compare(testcase)
############################ TestCase 461 ##########################################
testcase = 461
status("active")
RC.push(["exit 1 3000"])
GRAB.compare(testcase)
############################ TestCase 462 ##########################################
testcase = 462
status("active")
RC.push(["green 1 8000", "standby 1 5000", "standby 1 15000"])
GRAB.compare(testcase)
############################ TestCase 463 ##########################################
testcase = 463
status("active")
UART.start_app("channelseditor")
RC.push(["down 2 3000", "right 1 3000", "green 1 8000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 464 ##########################################
testcase = 464
status("active")
RC.push(["red 1 3000", "blue 1 3000"])
GRAB.compare(testcase)
############################ TestCase 465 ##########################################
testcase = 465
status("active")
RC.push(["green 1 3000"])
GRAB.compare(testcase)
############################ TestCase 466 ##########################################
testcase = 466
status("active")
RC.push(["yellow 1 3000"])
GRAB.compare(testcase)
############################ TestCase 467 ##########################################
testcase = 467
status("active")
RC.push(["exit 3 3000"])
UART.start_app("channelseditor")
RC.push(["cinemahalls 1 3000"])
GRAB.compare(testcase)
############################ TestCase 468 ##########################################
testcase = 468
status("active")
RC.push(["help 1 3000"])
GRAB.compare(testcase)
############################ TestCase 469 ##########################################
testcase = 469
status("active")
RC.push(["exit 3 3000", "1 1 3000"])
UART.start_app("scheduler")
RC.push(["red", "ok 1 3000", "down 2 1000", "ok", "ok 1 2000", "right 1 1000", "up 2 2000", "ok", "ok", "exit 5 2400",])
UART.start_app("channelseditor")
sleep(50)
GRAB.compare(testcase)
############################ TestCase 470 ##########################################
testcase = 470
status("manual")
GRAB.compare(testcase)
############################ TestCase 471 ##########################################
testcase = 471
status("manual")
GRAB.compare(testcase)
############################ TestCase 472 ##########################################
testcase = 472
status("manual")
GRAB.compare(testcase)
############################ TestCase 473 ##########################################
testcase = 473
status("manual")
GRAB.compare(testcase)
############################ TestCase 474 ##########################################
testcase = 474
status("active")
RC.push(["exit 3 3000"])
UART.start_app("channelseditor")
RC.push(["VolUp 1 2500"])
GRAB.compare(testcase)
############################ TestCase 475 ##########################################
testcase = 475
status("active")
RC.push(["VolDown 1 2500"])
GRAB.compare(testcase)
############################ TestCase 476 ##########################################
testcase = 476
status("active")
RC.push(["mute 1 2500"])
GRAB.compare(testcase)
############################ TestCase 477 ##########################################
testcase = 477
status("active")
RC.push(["guide 1 2500"])
GRAB.compare(testcase)
############################ TestCase 478 ##########################################
testcase = 478
status("active")
RC.push(["tv/chat 1 2500"])
GRAB.compare(testcase)
############################ TestCase 479 ##########################################
testcase = 479
status("active")
RC.push(["star 1 2500"])
GRAB.compare(testcase)
############################ TestCase 480 ##########################################
testcase = 480
status("active")
RC.push(["right 1 2500", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 481 ##########################################
testcase = 481
status("active")
RC.push(["red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 482 ##########################################
testcase = 482
status("active")
RC.push(["exit 3 3000"])
UART.start_app("settings")
RC.push(["right 6 2500", "down 1 2000", "ok 1 3000", "1 8 3000", "ok 1 3000"])
RC.push(["exit 3 3000"])
UART.start_app("channelseditor")
RC.push(["right 1 2500", "down 1 2000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 483 ##########################################
testcase = 483
status("active")
RC.push(["0 4 3000"])
GRAB.compare(testcase)
############################ TestCase 484 ##########################################
testcase = 484
status("active")
RC.push(["1 4 3000"])
GRAB.compare(testcase)
############################ TestCase 485 ##########################################
testcase = 485
status("active")
RC.push(["exit 3 3000"])
UART.start_app("channelseditor")
RC.push(["right 1 2500", "down 1 2000", "red 1 3000"])
GRAB.compare(testcase)
############################ TestCase 486 ##########################################
testcase = 486
status("active")
RC.push(["0 4 3000"])
GRAB.compare(testcase)
############################ TestCase 487 ##########################################
testcase = 487
status("active")
RC.push(["1 4 3000"])
GRAB.compare(testcase)
############################ TestCase 488 ##########################################
testcase = 488
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 489 ##########################################
testcase = 489
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 490 ##########################################
testcase = 490
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 491 ##########################################
testcase = 491
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 492 ##########################################
testcase = 492
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 493 ##########################################
testcase = 493
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 494 ##########################################
testcase = 494
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 495 ##########################################
testcase = 495
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 496 ##########################################
testcase = 496
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 497 ##########################################
testcase = 497
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 498 ##########################################
testcase = 498
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 499 ##########################################
testcase = 499
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 500 ##########################################
testcase = 500
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 501 ##########################################
testcase = 501
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
############################ TestCase 502 ##########################################
testcase = 502
status("inactive")
UART.default_settings()
UART.start_app("")
RC.push([""])
sleep(0)
GRAB.compare(testcase)
###################################################################################
status("active")
MOD.stop(Modulator)
GRAB.stop_capture()
| 39.06823
| 218
| 0.41966
| 10,432
| 111,657
| 4.462519
| 0.061062
| 0.074496
| 0.204885
| 0.290572
| 0.823427
| 0.809357
| 0.75993
| 0.703671
| 0.671965
| 0.606771
| 0
| 0.097578
| 0.161933
| 111,657
| 2,857
| 219
| 39.081904
| 0.3999
| 0.063919
| 0
| 0.694444
| 0
| 0
| 0.260612
| 0.000722
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.004274
| null | null | 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
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| 1
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
c2e30dc0dfaf781e252e0f66df98a1f91da785e1
| 124
|
py
|
Python
|
fixture/Python3/input_code/Block3.py
|
exKAZUu/ParserTests
|
609cfc62b70c8d04d5a2ced25a213a8d601e7011
|
[
"Apache-2.0"
] | null | null | null |
fixture/Python3/input_code/Block3.py
|
exKAZUu/ParserTests
|
609cfc62b70c8d04d5a2ced25a213a8d601e7011
|
[
"Apache-2.0"
] | null | null | null |
fixture/Python3/input_code/Block3.py
|
exKAZUu/ParserTests
|
609cfc62b70c8d04d5a2ced25a213a8d601e7011
|
[
"Apache-2.0"
] | null | null | null |
i = 0
if i == 0: pass
while i != 0: pass
for x in [0]: pass
i = 0
if i == 0:
pass
while i != 0:
pass
for x in [0]:
pass
| 9.538462
| 18
| 0.516129
| 30
| 124
| 2.133333
| 0.266667
| 0.1875
| 0.375
| 0.15625
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0.095238
| 0.322581
| 124
| 12
| 19
| 10.333333
| 0.666667
| 0
| 0
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.545455
| 0
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| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
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| 0
|
0
| 8
|
c2ea9578a36684fe73ddc24846ea4bcd18d4ff18
| 13,662
|
py
|
Python
|
gqn/gqn_model.py
|
jaesik817/tf-gqn
|
9ff2142f8817ee571dbc3fc99284311c44f4e48d
|
[
"Apache-2.0"
] | 21
|
2018-09-18T16:00:30.000Z
|
2020-07-31T12:57:01.000Z
|
gqn/gqn_model.py
|
jaesik817/tf-gqn
|
9ff2142f8817ee571dbc3fc99284311c44f4e48d
|
[
"Apache-2.0"
] | 9
|
2018-10-10T07:01:06.000Z
|
2022-02-09T23:55:10.000Z
|
gqn/gqn_model.py
|
jaesik817/tf-gqn
|
9ff2142f8817ee571dbc3fc99284311c44f4e48d
|
[
"Apache-2.0"
] | 3
|
2018-12-05T16:30:23.000Z
|
2020-05-15T15:03:24.000Z
|
"""
Contains the tf.estimator compatible model definition for GQN.
Original paper:
'Neural scene representation and rendering'
S. M. Ali Eslami, Danilo J. Rezende, Frederic Besse, Fabio Viola, Ari S. Morcos,
Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor,
David P. Reichert, Lars Buesing, Theophane Weber, Oriol Vinyals, Dan Rosenbaum,
Neil Rabinowitz, Helen King, Chloe Hillier, Matt Botvinick, Daan Wierstra,
Koray Kavukcuoglu and Demis Hassabis
https://deepmind.com/documents/211/Neural_Scene_Representation_and_Rendering_preprint.pdf
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from .gqn_graph import gqn_draw, gqn_vae
from .gqn_objective import gqn_draw_elbo, gqn_vae_elbo
from .gqn_params import _GQNParams, _DEFAULTS
from .gqn_utils import debug_canvas_image_mean
def _linear_noise_annealing(gqn_params: _GQNParams) -> tf.Tensor:
"""
Defines the computational graph for the global sigma annealing scheme used in
image sampling.
"""
sigma_i = tf.constant(gqn_params.GENERATOR_SIGMA_ALPHA, dtype=tf.float32)
sigma_f = tf.constant(gqn_params.GENERATOR_SIGMA_BETA, dtype=tf.float32)
step = tf.cast(tf.train.get_global_step(), dtype=tf.float32)
tau = tf.constant(gqn_params.ANNEAL_SIGMA_TAU, dtype=tf.float32)
sigma_target = tf.maximum(
sigma_f + (sigma_i - sigma_f) * (1.0 - step / tau),
sigma_f)
return sigma_target
def _linear_lr_annealing(gqn_params: _GQNParams) -> tf.Tensor:
"""
Defines the computational graph for the global learning rate annealing scheme
used during optimization.
"""
eta_i = tf.constant(gqn_params.ADAM_LR_ALPHA, dtype=tf.float32)
eta_f = tf.constant(gqn_params.ADAM_LR_BETA, dtype=tf.float32)
step = tf.cast(tf.train.get_global_step(), dtype=tf.float32)
tau = tf.constant(gqn_params.ANNEAL_LR_TAU, dtype=tf.float32)
lr = tf.maximum(
eta_f + (eta_i - eta_f) * (1.0 - step / tau),
eta_f)
return lr
def gqn_draw_model_fn(features, labels, mode, params):
"""
Defines an tf.estimator.EstimatorSpec for the GQN model.
Args:
features: Query = collections.namedtuple('Query', ['context', 'query_camera'])
labels: tf.Tensor of the target image
mode:
params:
gqn_params: _GQNParams type containing the model parameters
debug: bool; if true, model will produce additional debug output
tensorboard summaries for image generation process
Returns:
spec: tf.estimator.EstimatorSpec
"""
# shorthand notations for parameters
_CONTEXT_SIZE = params['gqn_params'].CONTEXT_SIZE
_SEQ_LENGTH = params['gqn_params'].SEQ_LENGTH
# feature and label mapping according to gqn_input_fn
query_pose = features.query_camera
target_frame = labels
context_poses = features.context.cameras
context_frames = features.context.frames
# graph setup
net, ep_gqn = gqn_draw(
query_pose=query_pose,
target_frame=target_frame,
context_poses=context_poses,
context_frames=context_frames,
model_params=params['gqn_params'],
is_training=(mode != tf.estimator.ModeKeys.PREDICT)
)
# outputs: sampled images
mu_target = net
sigma_target = _linear_noise_annealing(params['gqn_params'])
target_normal = tf.distributions.Normal(loc=mu_target, scale=sigma_target)
target_sample = tf.identity(target_normal.sample(), name='target_sample')
l2_reconstruction = tf.identity(
tf.metrics.mean_squared_error(
labels=target_frame,
predictions=mu_target),
name='l2_reconstruction')
# write out image summaries in debug mode
if params['debug']:
for i in range(_CONTEXT_SIZE):
tf.summary.image(
'context_frame_%d' % (i + 1),
context_frames[:, i],
max_outputs=1
)
tf.summary.image(
'target_images',
labels,
max_outputs=1
)
tf.summary.image(
'target_means',
mu_target,
max_outputs=1
)
tf.summary.scalar(
'l2_reconstruction',
l2_reconstruction[1]
)
generator_sequence = debug_canvas_image_mean(
[ep_gqn['canvas_{}'.format(i)] for i in range(_SEQ_LENGTH)]
)
tf.summary.image(
'generator_sequence_mean',
generator_sequence,
max_outputs=1
)
# predictions to make when deployed during test time
if mode == tf.estimator.ModeKeys.PREDICT:
predictions = {
'predicted_mean' : mu_target,
'predicted_variance' : sigma_target,
}
# ELBO setup
if mode != tf.estimator.ModeKeys.PREDICT:
# collect intermediate endpoints
mu_q, sigma_q, mu_pi, sigma_pi = [], [], [], []
for i in range(_SEQ_LENGTH):
mu_q.append(ep_gqn["mu_q_%d" % i])
sigma_q.append(ep_gqn["sigma_q_%d" % i])
mu_pi.append(ep_gqn["mu_pi_%d" % i])
sigma_pi.append(ep_gqn["sigma_pi_%d" % i])
elbo, ep_elbo = gqn_draw_elbo(
mu_target, sigma_target,
mu_q, sigma_q,
mu_pi, sigma_pi,
target_frame)
if params['debug']:
tf.summary.scalar(
name='target_llh',
tensor=ep_elbo['target_llh']
)
tf.summary.scalar(
name='kl_regularizer',
tensor=ep_elbo['kl_regularizer']
)
# optimization
if mode == tf.estimator.ModeKeys.TRAIN:
lr = _linear_lr_annealing(params['gqn_params'])
optimizer = tf.train.AdamOptimizer(learning_rate=lr)
train_op = optimizer.minimize(
loss=elbo,
global_step=tf.train.get_global_step()
)
# evaluation metrics to monitor
if mode == tf.estimator.ModeKeys.EVAL:
eval_metric_ops = {
'l2_reconstruction' : tf.metrics.mean_squared_error(
labels=target_frame,
predictions=mu_target)
}
# create SpecSheet
if mode == tf.estimator.ModeKeys.TRAIN:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
loss=elbo,
train_op=train_op)
if mode == tf.estimator.ModeKeys.EVAL:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
loss=elbo,
eval_metric_ops=eval_metric_ops)
if mode == tf.estimator.ModeKeys.PREDICT:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
predictions=predictions)
return estimator_spec
def gqn_draw_identity_model_fn(features, labels, mode, params):
"""
Defines an tf.estimator.EstimatorSpec for the GQN model.
Debug version of the model function learning an identity between input and
output image.
Args:
features: Query = collections.namedtuple('Query', ['context', 'query_camera'])
labels: tf.Tensor of the target image
mode:
params:
gqn_params: _GQNParams type containing the model parameters
debug: bool; if true, model will produce additional debug output
tensorboard summaries for image generation process
Returns:
spec: tf.estimator.EstimatorSpec
"""
# customize parameters
custom_params_dict = _DEFAULTS
custom_params_dict['CONTEXT_SIZE'] = 1
custom_params = _GQNParams(**custom_params_dict)
# shorthand notations for parameters
_CONTEXT_SIZE = custom_params.CONTEXT_SIZE
_SEQ_LENGTH = custom_params.SEQ_LENGTH
# feature and label mapping according to gqn_input_fn
query_pose = features.query_camera
target_frame = labels
context_poses = features.query_camera
context_frames = labels
# graph setup
net, ep_gqn = gqn_draw(
query_pose=query_pose,
target_frame=target_frame,
context_poses=context_poses,
context_frames=context_frames,
model_params=custom_params,
is_training=(mode != tf.estimator.ModeKeys.PREDICT)
)
# outputs: sampled images
mu_target = net
sigma_target = _linear_noise_annealing(custom_params)
target_normal = tf.distributions.Normal(loc=mu_target, scale=sigma_target)
target_sample = tf.identity(target_normal.sample(), name='target_sample')
l2_reconstruction = tf.identity(
tf.metrics.mean_squared_error(
labels=target_frame,
predictions=mu_target),
name='l2_reconstruction')
# write out image summaries in debug mode
if params['debug']:
for i in range(_CONTEXT_SIZE):
tf.summary.image(
'context_frame_%d' % (i + 1),
context_frames,
max_outputs=1
)
tf.summary.image(
'target_images',
labels,
max_outputs=1
)
tf.summary.image(
'target_means',
mu_target,
max_outputs=1
)
tf.summary.scalar(
'l2_reconstruction',
l2_reconstruction[1]
)
generator_sequence = debug_canvas_image_mean(
[ep_gqn['canvas_{}'.format(i)] for i in range(_SEQ_LENGTH)]
)
tf.summary.image(
'generator_sequence_mean',
generator_sequence,
max_outputs=1
)
# predictions to make when deployed during test time
if mode == tf.estimator.ModeKeys.PREDICT:
predictions = {
'target_sample' : target_sample
}
# ELBO setup
if mode != tf.estimator.ModeKeys.PREDICT:
# collect intermediate endpoints
mu_q, sigma_q, mu_pi, sigma_pi = [], [], [], []
for i in range(_SEQ_LENGTH):
mu_q.append(ep_gqn["mu_q_%d" % i])
sigma_q.append(ep_gqn["sigma_q_%d" % i])
mu_pi.append(ep_gqn["mu_pi_%d" % i])
sigma_pi.append(ep_gqn["sigma_pi_%d" % i])
elbo, ep_elbo = gqn_draw_elbo(
mu_target, sigma_target,
mu_q, sigma_q,
mu_pi, sigma_pi,
target_frame)
if params['debug']:
tf.summary.scalar(
name='target_llh',
tensor=ep_elbo['target_llh']
)
tf.summary.scalar(
name='kl_regularizer',
tensor=ep_elbo['kl_regularizer']
)
# optimization
if mode == tf.estimator.ModeKeys.TRAIN:
lr = _linear_lr_annealing(custom_params)
optimizer = tf.train.AdamOptimizer(learning_rate=lr)
train_op = optimizer.minimize(
loss=elbo,
global_step=tf.train.get_global_step()
)
# evaluation metrics to monitor
if mode == tf.estimator.ModeKeys.EVAL:
eval_metric_ops = {
'l2_reconstruction' : tf.metrics.mean_squared_error(
labels=target_frame,
predictions=mu_target)
}
# create SpecSheet
if mode == tf.estimator.ModeKeys.TRAIN:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
loss=elbo,
train_op=train_op)
if mode == tf.estimator.ModeKeys.EVAL:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
loss=elbo,
eval_metric_ops=eval_metric_ops)
if mode == tf.estimator.ModeKeys.PREDICT:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
predictions=predictions)
return estimator_spec
def gqn_vae_model_fn(features, labels, mode, params):
"""
Defines an tf.estimator.EstimatorSpec for the GQN-VAE baseline model.
Args:
features: Query = collections.namedtuple('Query', ['context', 'query_camera'])
labels: tf.Tensor of the target image
mode:
params:
gqn_params: _GQNParams type containing the model parameters
debug: bool; if true, model will produce additional debug output
tensorboard summaries for image generation process
Returns:
spec: tf.estimator.EstimatorSpec
"""
# feature and label mapping according to gqn_input_fn
query_pose = features.query_camera
target_frame = labels
context_poses = features.context.cameras
context_frames = features.context.frames
# graph setup
net, ep_gqn_vae = gqn_vae(
query_pose=query_pose,
context_poses=context_poses,
context_frames=context_frames,
model_params=params['gqn_params'],
)
# collect intermediate endpoints
mu_q, sigma_q = ep_gqn_vae["mu_q"], ep_gqn_vae["sigma_q"]
# outputs: sampled images
mu_target = net
sigma_target = _linear_noise_annealing(params['gqn_params'])
target_normal = tf.distributions.Normal(loc=mu_target, scale=sigma_target)
target_sample = tf.identity(target_normal.sample(), name='target_sample')
# write out image summaries in debug mode
if params['debug']:
tf.summary.image(
'target_images',
labels,
max_outputs=1
)
tf.summary.image(
'target_sample',
target_sample,
max_outputs=1
)
# predictions to make when deployed during test time
if mode == tf.estimator.ModeKeys.PREDICT:
predictions = {
'target_sample' : target_sample
}
# ELBO setup
if mode != tf.estimator.ModeKeys.PREDICT:
elbo = gqn_vae_elbo(
mu_target, sigma_target,
mu_q, sigma_q,
target_frame)
# optimization
if mode == tf.estimator.ModeKeys.TRAIN:
# TODO(ogroth): tune hyper-parameters of optimizer?
optimizer = tf.train.AdamOptimizer()
train_op = optimizer.minimize(
loss=elbo,
global_step=tf.train.get_global_step()
)
# evaluation metrics to monitor
if mode == tf.estimator.ModeKeys.EVAL:
eval_metric_ops = {
'mean_abs_pixel_error' : tf.metrics.mean_absolute_error(
labels=target_frame,
predictions=target_sample)
}
# create SpecSheet
if mode == tf.estimator.ModeKeys.TRAIN:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
loss=elbo,
train_op=train_op)
if mode == tf.estimator.ModeKeys.EVAL:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
loss=elbo,
eval_metric_ops=eval_metric_ops)
if mode == tf.estimator.ModeKeys.PREDICT:
estimator_spec = tf.estimator.EstimatorSpec(
mode=mode,
predictions=predictions)
return estimator_spec
| 30.36
| 89
| 0.686064
| 1,748
| 13,662
| 5.098398
| 0.144165
| 0.048137
| 0.038712
| 0.059358
| 0.832024
| 0.81149
| 0.789048
| 0.780184
| 0.780184
| 0.776593
| 0
| 0.004502
| 0.219514
| 13,662
| 449
| 90
| 30.427617
| 0.831286
| 0.231811
| 0
| 0.731148
| 0
| 0
| 0.065531
| 0.004453
| 0
| 0
| 0
| 0.002227
| 0
| 1
| 0.016393
| false
| 0
| 0.02623
| 0
| 0.059016
| 0.003279
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
6c42ba27857e04cc2cc85eaa72e08c6d3f105b7b
| 103
|
py
|
Python
|
helpers/version.py
|
aamdework/blacklane-answers
|
79376facf82c34a9abd82f05aeec9de5759cd7bd
|
[
"CC0-1.0"
] | 20
|
2019-02-04T12:19:16.000Z
|
2022-01-12T06:31:59.000Z
|
helpers/version.py
|
noviicee/devops-test
|
86e25480e59181cd08b3e9003bfa20200b9c70d5
|
[
"CC0-1.0"
] | null | null | null |
helpers/version.py
|
noviicee/devops-test
|
86e25480e59181cd08b3e9003bfa20200b9c70d5
|
[
"CC0-1.0"
] | 13
|
2019-02-04T13:07:17.000Z
|
2022-02-16T12:27:32.000Z
|
import pathlib
def get_project_version():
return pathlib.Path('version.txt').read_text().strip()
| 17.166667
| 58
| 0.737864
| 14
| 103
| 5.214286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116505
| 103
| 5
| 59
| 20.6
| 0.802198
| 0
| 0
| 0
| 0
| 0
| 0.106796
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
6c80409ffd6edff90ce8169b4b11589d52620743
| 8,593
|
py
|
Python
|
stereo/image/segmentation/seg_utils/resnet_unet.py
|
nilsmechtel/stereopy
|
cd8f34b45ae6667043611e5d02ea46f8ca3f0c7b
|
[
"MIT"
] | null | null | null |
stereo/image/segmentation/seg_utils/resnet_unet.py
|
nilsmechtel/stereopy
|
cd8f34b45ae6667043611e5d02ea46f8ca3f0c7b
|
[
"MIT"
] | null | null | null |
stereo/image/segmentation/seg_utils/resnet_unet.py
|
nilsmechtel/stereopy
|
cd8f34b45ae6667043611e5d02ea46f8ca3f0c7b
|
[
"MIT"
] | null | null | null |
from aifc import Error
import torch
import torch.nn as nn
import torchvision
from . import models
def double_conv(in_channels, out_channels):
return nn.Sequential(
nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=1, padding=1),
nn.BatchNorm2d(out_channels),
nn.ReLU(inplace=True),
nn.Conv2d(out_channels, out_channels, kernel_size=3, stride=1, padding=1),
nn.BatchNorm2d(out_channels),
nn.ReLU(inplace=True)
)
def up_conv(in_channels, out_channels):
return nn.ConvTranspose2d(
in_channels, out_channels, kernel_size=2, stride=2
)
class SResUnet(nn.Module):
"""Shallow Unet with ResNet18 or ResNet34 encoder.
"""
def __init__(self, *, Encoder='resnet18', pretrained=True, out_channels=3):
super().__init__()
if Encoder == 'resnet18':
self.encoder = torchvision.models.resnet.resnet18(pretrained=pretrained)
elif Encoder == 'resnet34':
self.encoder = torchvision.models.resnet.resnet34(pretrained=pretrained)
else:
raise EOFError
# self.encoder = encoder(pretrained=pretrained)
self.encoder_layers = list(self.encoder.children())
self.block0 = nn.Conv2d(6, 64, kernel_size=7, stride=2, padding=3, bias=False)
self.block0.weight[:, :3, :, :].data = self.encoder_layers[0].weight[:, :, :, :].data
self.block0.weight[:, 3:, :, :].data = self.encoder_layers[0].weight[:, :, :, :].data
self.block1 = nn.Sequential(*self.encoder_layers[1:3])
self.block2 = nn.Sequential(*self.encoder_layers[3:5])
self.block3 = self.encoder_layers[5]
self.block4 = self.encoder_layers[6]
self.block5 = self.encoder_layers[7]
self.up_conv6 = up_conv(512, 512)
self.conv6 = double_conv(512 + 256, 512)
self.up_conv7 = up_conv(512, 256)
self.conv7 = double_conv(256 + 128, 256)
self.up_conv8 = up_conv(256, 128)
self.conv8 = double_conv(128 + 64, 128)
self.up_conv9 = up_conv(128, 64)
self.conv9 = double_conv(64 + 64, 64)
self.up_conv10 = up_conv(64, 32)
self.conv10 = nn.Conv2d(32, out_channels, kernel_size=1)
# self.block1.requires_grad_(False)
# self.block2.requires_grad_(False)
# self.block3.requires_grad_(False)
# self.block4.requires_grad_(False)
# self.block5.requires_grad_(False)
if not pretrained:
self._weights_init()
def _weights_init(self):
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
def forward(self, x):
x = self.block0(x)
block1 = self.block1(x)
block2 = self.block2(block1)
block3 = self.block3(block2)
block4 = self.block4(block3)
block5 = self.block5(block4)
x = self.up_conv6(block5)
x = torch.cat([x, block4], dim=1)
x = self.conv6(x)
x = self.up_conv7(x)
x = torch.cat([x, block3], dim=1)
x = self.conv7(x)
x = self.up_conv8(x)
x = torch.cat([x, block2], dim=1)
x = self.conv8(x)
x = self.up_conv9(x)
x = torch.cat([x, block1], dim=1)
x = self.conv9(x)
x = self.up_conv10(x)
x = self.conv10(x)
return x
class DResUnet(nn.Module):
"""Deep Unet with ResNet50, ResNet101 or ResNet152 encoder.
"""
def __init__(self, *, Encoder='resnet50', pretrained=False, out_channels=2):
super().__init__()
if Encoder == 'resnet50':
self.encoder = torchvision.models.resnet.resnet50(pretrained=pretrained)
elif Encoder == 'resnet101':
self.encoder = torchvision.models.resnet.resnet101(pretrained=pretrained)
elif Encoder == 'resnet152':
self.encoder = torchvision.models.resnet.resnet152(pretrained=pretrained)
else:
raise EOFError
# self.encoder = encoder(pretrained=pretrained)
self.encoder_layers = list(self.encoder.children())
self.block1 = nn.Sequential(*self.encoder_layers[:3])
self.block2 = nn.Sequential(*self.encoder_layers[3:5])
self.block3 = self.encoder_layers[5]
self.block4 = self.encoder_layers[6]
self.block5 = self.encoder_layers[7]
self.up_conv6 = up_conv(2048, 512)
self.conv6 = double_conv(512 + 1024, 512)
self.up_conv7 = up_conv(512, 256)
self.conv7 = double_conv(256 + 512, 256)
self.up_conv8 = up_conv(256, 128)
self.conv8 = double_conv(128 + 256, 128)
self.up_conv9 = up_conv(128, 64)
self.conv9 = double_conv(64 + 64, 64)
self.up_conv10 = up_conv(64, 32)
self.conv10 = nn.Conv2d(32, out_channels, kernel_size=1)
if not pretrained:
self._weights_init()
def _weights_init(self):
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
def forward(self, x):
block1 = self.block1(x)
block2 = self.block2(block1)
block3 = self.block3(block2)
block4 = self.block4(block3)
block5 = self.block5(block4)
x = self.up_conv6(block5)
x = torch.cat([x, block4], dim=1)
x = self.conv6(x)
x = self.up_conv7(x)
x = torch.cat([x, block3], dim=1)
x = self.conv7(x)
x = self.up_conv8(x)
x = torch.cat([x, block2], dim=1)
x = self.conv8(x)
x = self.up_conv9(x)
x = torch.cat([x, block1], dim=1)
x = self.conv9(x)
x = self.up_conv10(x)
x = self.conv10(x)
return x
class EpsaResUnet(nn.Module):
"""Deep Unet with ResNet50, ResNet101 or ResNet152 encoder.
"""
def __init__(self, *, Encoder='epsanet18', pretrained=False, out_channels=6):
super().__init__()
if Encoder == 'epsanet18':
self.encoder = models.EPSANet(models.EPSABlock, [2, 2, 2, 2])
elif Encoder == 'epsanet34':
self.encoder = models.EPSANet(models.EPSABlock, [3, 4, 6, 3])
else:
raise EOFError
# self.encoder = encoder(pretrained=pretrained)
self.encoder_layers = list(self.encoder.children())
self.block1 = nn.Sequential(*self.encoder_layers[:3])
self.block2 = nn.Sequential(*self.encoder_layers[3:5])
self.block3 = self.encoder_layers[5]
self.block4 = self.encoder_layers[6]
self.block5 = self.encoder_layers[7]
self.up_conv6 = up_conv(2048, 512)
self.conv6 = double_conv(512 + 1024, 512)
self.up_conv7 = up_conv(512, 256)
self.conv7 = double_conv(256 + 512, 256)
self.up_conv8 = up_conv(256, 128)
self.conv8 = double_conv(128 + 256, 128)
self.up_conv9 = up_conv(128, 64)
self.conv9 = double_conv(64 + 64, 64)
self.up_conv10 = up_conv(64, 32)
self.conv10 = nn.Conv2d(32, out_channels, kernel_size=1)
if not pretrained:
self._weights_init()
# self.block4.requires_grad_(False)
# self.block5.requires_grad_(False)
def _weights_init(self):
for m in self.modules():
if isinstance(m, nn.Conv2d):
nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
elif isinstance(m, nn.BatchNorm2d):
nn.init.constant_(m.weight, 1)
nn.init.constant_(m.bias, 0)
def forward(self, x):
block1 = self.block1(x)
block2 = self.block2(block1)
block3 = self.block3(block2)
block4 = self.block4(block3)
block5 = self.block5(block4)
x = self.up_conv6(block5)
x = torch.cat([x, block4], dim=1)
x = self.conv6(x)
x = self.up_conv7(x)
x = torch.cat([x, block3], dim=1)
x = self.conv7(x)
x = self.up_conv8(x)
x = torch.cat([x, block2], dim=1)
x = self.conv8(x)
x = self.up_conv9(x)
x = torch.cat([x, block1], dim=1)
x = self.conv9(x)
x = self.up_conv10(x)
x = self.conv10(x)
return x
if __name__ == '__main__':
pass
| 32.923372
| 93
| 0.591179
| 1,130
| 8,593
| 4.338938
| 0.099115
| 0.080767
| 0.069345
| 0.024475
| 0.844585
| 0.804813
| 0.777075
| 0.756476
| 0.756476
| 0.756476
| 0
| 0.077754
| 0.278599
| 8,593
| 260
| 94
| 33.05
| 0.71318
| 0.064355
| 0
| 0.753927
| 0
| 0
| 0.015721
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.057592
| false
| 0.005236
| 0.026178
| 0.010471
| 0.125654
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
669cb4b021a405933c0942a7bf844aeaf3060894
| 4,583
|
py
|
Python
|
app/test/test_rds.py
|
troydieter/aws-auto-cleanup
|
523bae5cc57b81d3a2f0d43c87b9f1ef5390e3a4
|
[
"MIT"
] | 322
|
2019-04-15T01:59:57.000Z
|
2022-03-09T00:06:55.000Z
|
app/test/test_rds.py
|
troydieter/aws-auto-cleanup
|
523bae5cc57b81d3a2f0d43c87b9f1ef5390e3a4
|
[
"MIT"
] | 70
|
2019-04-15T01:27:21.000Z
|
2022-03-02T00:39:29.000Z
|
app/test/test_rds.py
|
troydieter/aws-auto-cleanup
|
523bae5cc57b81d3a2f0d43c87b9f1ef5390e3a4
|
[
"MIT"
] | 49
|
2019-04-15T06:36:42.000Z
|
2022-01-17T11:37:32.000Z
|
import datetime
import logging
import moto
import pytest
from .. import rds_cleanup
class TestSnapshotsMoreThanTTL:
@pytest.fixture
def test_class(self):
with moto.mock_rds2():
whitelist = {}
settings = {
"general": {"dry_run": False},
"services": {"rds": {"snapshots": {"clean": True, "ttl": -1}}},
}
execution_log = {"AWS": {}}
test_class = rds_cleanup.RDSCleanup(
logging, whitelist, settings, execution_log, "ap-southeast-2"
)
yield test_class
def test(self, test_class):
# create test cluster
test_class.client_rds.create_db_instance(
DBName="test",
DBInstanceIdentifier="test123",
AllocatedStorage=10,
DBInstanceClass="db.m4.large",
Engine="mysql",
MasterUsername="admin",
MasterUserPassword="Admin123",
)
# create test snapshot
test_class.client_rds.create_db_snapshot(
DBSnapshotIdentifier="snapshot123", DBInstanceIdentifier="test123"
)
# validate snapshot creation
response = test_class.client_rds.describe_db_snapshots()
assert response["DBSnapshots"][0]["DBSnapshotIdentifier"] == "snapshot123"
# test snapshot functions
test_class.snapshots()
# validate snapshot deletion
response = test_class.client_rds.describe_db_snapshots()
assert response["DBSnapshots"] == []
class TestSnapshotsLessThanTTL:
@pytest.fixture
def test_class(self):
with moto.mock_rds2():
whitelist = {}
settings = {
"general": {"dry_run": False},
"services": {"rds": {"snapshots": {"clean": True, "ttl": 7}}},
}
execution_log = {"AWS": {}}
test_class = rds_cleanup.RDSCleanup(
logging, whitelist, settings, execution_log, "ap-southeast-2"
)
yield test_class
def test(self, test_class):
# create test cluster
test_class.client_rds.create_db_instance(
DBName="test",
DBInstanceIdentifier="test123",
AllocatedStorage=10,
DBInstanceClass="db.m4.large",
Engine="mysql",
MasterUsername="admin",
MasterUserPassword="Admin123",
)
# create test snapshot
test_class.client_rds.create_db_snapshot(
DBSnapshotIdentifier="snapshot123", DBInstanceIdentifier="test123"
)
# validate snapshot creation
response = test_class.client_rds.describe_db_snapshots()
assert response["DBSnapshots"][0]["DBSnapshotIdentifier"] == "snapshot123"
# test snapshot functions
test_class.snapshots()
# validate snapshot deletion
response = test_class.client_rds.describe_db_snapshots()
assert response["DBSnapshots"][0]["DBSnapshotIdentifier"] == "snapshot123"
class TestSnapshotsWhitelist:
@pytest.fixture
def test_class(self):
with moto.mock_rds2():
whitelist = {"rds": {"snapshot": ["snapshot123"]}}
settings = {
"general": {"dry_run": False},
"services": {"rds": {"snapshots": {"clean": True, "ttl": 7}}},
}
execution_log = {"AWS": {}}
test_class = rds_cleanup.RDSCleanup(
logging, whitelist, settings, execution_log, "ap-southeast-2"
)
yield test_class
def test(self, test_class):
# create test cluster
test_class.client_rds.create_db_instance(
DBName="test",
DBInstanceIdentifier="test123",
AllocatedStorage=10,
DBInstanceClass="db.m4.large",
Engine="mysql",
MasterUsername="admin",
MasterUserPassword="Admin123",
)
# create test snapshot
test_class.client_rds.create_db_snapshot(
DBSnapshotIdentifier="snapshot123", DBInstanceIdentifier="test123"
)
# validate snapshot creation
response = test_class.client_rds.describe_db_snapshots()
assert response["DBSnapshots"][0]["DBSnapshotIdentifier"] == "snapshot123"
# test snapshot functions
test_class.snapshots()
# validate snapshot deletion
response = test_class.client_rds.describe_db_snapshots()
assert response["DBSnapshots"][0]["DBSnapshotIdentifier"] == "snapshot123"
| 32.048951
| 82
| 0.589352
| 399
| 4,583
| 6.571429
| 0.177945
| 0.092677
| 0.06865
| 0.08238
| 0.932494
| 0.932494
| 0.932494
| 0.932494
| 0.932494
| 0.932494
| 0
| 0.024115
| 0.303295
| 4,583
| 142
| 83
| 32.274648
| 0.797056
| 0.077678
| 0
| 0.772277
| 0
| 0
| 0.141059
| 0
| 0
| 0
| 0
| 0
| 0.059406
| 1
| 0.059406
| false
| 0.029703
| 0.049505
| 0
| 0.138614
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
66bd581a8cc89b3e3a54ad43d9b44b52d28a16a8
| 83,794
|
py
|
Python
|
decompyle.py
|
Garangan-Z/Decomfile
|
901eaac17655afa87c6dd2d0d8d815d83e876767
|
[
"Apache-2.0"
] | null | null | null |
decompyle.py
|
Garangan-Z/Decomfile
|
901eaac17655afa87c6dd2d0d8d815d83e876767
|
[
"Apache-2.0"
] | null | null | null |
decompyle.py
|
Garangan-Z/Decomfile
|
901eaac17655afa87c6dd2d0d8d815d83e876767
|
[
"Apache-2.0"
] | null | null | null |
# Source Generated with Decompyle++
# File: a.pyc (Python 2.7)
import os
import sys
import zlib
import base64
import marshal
import binascii
import time
import py_compile
from time import sleep as waktu
from random import randint
logo = ' '
p = '\x1b[0m'
m = '\x1b[31m'
i = '\x1b[32m'
b = '\x1b[34m'
k = '\x1b[33;1m'
cg = '\x1b[36m'
ba = '\x1b[96;1m'
pu = '\x1b[35m'
gr = '\x1b[37m'
pb = '\x1b[47m'
cout = 0
def RakaAndrianTara(s):
for c in s + '\n':
sys.stdout.write(c)
sys.stdout.flush()
time.sleep(1 / 10)
def restart():
ngulang = sys.executable
os.execl(ngulang, ngulang, *sys.argv)
os.system('clear')
def main():
global cout, bin, cout, bin
p = '\x1b[0m'
m = '\x1b[31m'
i = '\x1b[32m'
b = '\x1b[34m'
k = '\x1b[33;1m'
cg = '\x1b[36m'
ba = '\x1b[96;1m'
pu = '\x1b[35m'
gr = '\x1b[37m'
pb = '\x1b[47m'
os.system('clear')
try:
lis = '\x1b[1;91m'
print '\n\n +--------------------------------------------+ \n +-------------------+\n | RAKA ANDRIAN TARA |\n +-------------------+\n +--------------------------------------------+ \n +------+---------+------------------+--------+ \n | | | | XNSCODE CYBER TEAM | | | |\n +--------------------------------------------+ \n +------+---------+------------------+--------+ \n | list | Compile | Encrypt | Type | \n +------+---------+------------------+--------+ \n | 01 | Compile | Marshal | Normal | \n +------+---------+------------------+--------+ \n | 02 | Compile | Marshal Base 64 | Hard | \n +------+---------+------------------+--------+ \n | 04 | Compile | Marshal 64 | Normal | \n +------+---------+------------------+--------+ \n | 05 | Compile | Cython1 | Hard | \n +------+---------+------------------+--------+ \n | 06 | Compile | Cython2 | Hard | \n +------+---------+------------------+--------+ \n | 07 | Compile | Cython3 | Hard | \n +------+---------+------------------+--------+ \n | 08 | Compile | Cython4 | Hard | \n +------+---------+------------------+--------+ \n | 09 | Compile | Zlib | Normal | \n +------+---------+------------------+--------+ \n | 10 | Compile | Base 64 | Normal | \n +------+---------+------------------+--------+ \n | 11 | Compile | Base 16 | Normal | \n +------+---------+------------------+--------+ \n | 12 | Compile | Bash 32 | Normal | \n +------+---------+------------------+--------+ \n | 13 | Compile | Base 64 Marshal | Hard | \n +------+---------+------------------+--------+ \n | 14 | Compile | Cython5 | Hard | \n +------+---------+------------------+--------+ \n | 15 | Compile | Cython6 | Hard | \n +------+---------+------------------+--------+ \n | 00 | Exit | Exit Tool | Back | \n +------+---------+------------------+--------+ \x1b[0m\x1b[31m\x1b[0m\x1b[31m\x1b[0m\n'
print 50 * '-'
print ' ENTER NUNBER FOR SELECT TYPE ENCRYPT YOUR FILE '
print 50 * '-'
chos = raw_input('Choose Code %s' % i)
print 50 * '-'
if chos == '1' or chos == '01':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
ni = compile(oa, '<tegarid>', 'exec')
bo = marshal.dumps(ni)
ab = repr(bo)
s = open(out, 'w')
s.write('#Code Ecrypted By Raka Andrian Tara \nimport marshal\nexec(marshal.loads(' + str(ab) + '))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
dn = compile(nz, '<tegarid>', 'exec')
bx = marshal.dumps(dn)
nl = repr(bx)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(nl) + '))')
ns.close()
cout += 1
continue
break
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
else:
print '%s[%s+%s] %sCout Terlalu Besar \xe2\x9d\x97' % (b, m, b, gr)
waktu(0.8)
main()
elif chos == '2' or chos == '02':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
ni = compile(oa, '<tegarid>', 'exec')
bo = marshal.dumps(ni)
ab = repr(bo)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(ab) + '))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
dn = compile(nz, '<tegarid>', 'exec')
bx = marshal.dumps(dn)
nl = repr(bx)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(nl) + '))')
ns.close()
cout += 1
continue
break
mx = open(out).read()
nl = base64.b32encode(mx)
xn = open(out, 'w')
xn.write("#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b32decode('%s'))\n" % nl)
xn.close()
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
else:
print '%s[%s+%s] %sCout Terlalu Besar \xe2\x9d\x97' % (b, m, b, gr)
waktu(0.8)
main()
elif chos == '3' or chos == '03':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(10)
if cot < 40000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
ni = compile(oa, '<tegarid>', 'exec')
bo = marshal.dumps(ni)
ab = repr(bo)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(ab) + '))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
dn = compile(nz, '<tegarid>', 'exec')
bx = marshal.dumps(dn)
nl = repr(bx)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(nl) + '))')
ns.close()
cout += 1
continue
break
mx = open(out).read()
nl = base64.b32encode(mx)
xn = open(out, 'w')
xn.write("#Coded By Raka Andrian Tara\nimport base64\nexec(base64.b32decode('%s'))\n" % nl)
xn.close()
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '4' or chos == '04':
print lis
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
bc = open(file).read()
js = file.replace('.py', '_enc.py')
a = []
b = []
bin = ''
xh = compile(bc, '<tegarid>', 'exec')
pg = marshal.dumps(xh)
bin += binascii.hexlify(pg)
for g in bin:
a.append(ord(g) - 9)
for lx in range(len(a)):
b.append(randint(1, 120))
c = []
d = 0
for x in b:
c.append(9 * b[d])
d += 1
x_x = lambda : randint(1, 255)
xz = []
for asx in range(255):
xz.append(x_x())
na = open(js, 'w')
na.write('z = ' + str(xz) + '\n')
na.write('_ = ' + str(b) + '\n__ = ' + str(c) + '\nOoO_ = ' + str(a) + '\nimport marshal\nOO = lambda _ : marshal.loads(_)\nu = ( ( { } < ( ) ) - ( { } < ( ) ) )\np = (({}<())-({}<()))\nv = 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OO("".join([chr(i) for i in lx]).decode("hex"))')
na.close()
bva = open(js).read()
bgx = open(js, 'w')
_bLos = compile(bva, '<tegarid>', 'exec')
_vjd = marshal.dumps(_bLos)
gz = repr(_vjd)
bgx.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(gz) + '))')
bgx.close()
py_compile.compile(js)
gb = open(js + 'c').read()
bi = open(js, 'w')
bi.write(gb + '\n\n\n\tOBFUSCATE BY Raka Andrian Tara \n\tINFO : DONT TRY TO EDIT OTHER WISE YOUR ECRYPT FILE EROR!\n\n')
bi.close()
os.system('rm ' + js + 'c')
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % js
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '5' or chos == '05':
ia = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
a = open(ia).read()
z = []
u = []
for x in a:
z.append(ord(x))
for c in z:
u.append(zlib.compress(str(c)))
o = []
for p in u:
o.append(marshal.dumps(p))
fip = 'import marshal;import zlib\nd={}\nexec("".join([chr(int(zlib.decompress(marshal.loads(i)))) for i in d]))'.format(o)
js = ia.replace('.py', '_enc.py')
ox = open(js, 'w')
ox.write(fip)
ox.close()
bx = open(js).read()
xs = binascii.hexlify(bx)
fc = 'exec ("{}").decode("hex")'.format(xs)
nk = open(js, 'w')
nk.write(fc)
nk.close()
py_compile.compile(js)
os.system('rm ' + js)
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % js
raw_input('[!] Back \xe2\x9e\xa4 %s' % i)
main()
elif chos == '6' or chos == '06':
ia = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
bc = open(ia).read()
xs = binascii.hexlify(bc)
js = ia.replace('.py', '_enc.py')
fc = 'exec ("{}").decode("hex")'.format(xs)
nk = open(js, 'w')
nk.write(fc)
nk.close()
p = []
n = []
gn = open(js).read()
for l in gn:
p.append(ord(l))
for b in p:
n.append('x' * b)
fin = 'd={}\nexec("".join([chr(len(i)) for i in d]))'.format(n)
bp = open(js, 'w')
bp.write(fin)
bp.close()
py_compile.compile(js)
os.system('rm ' + js)
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%sc \x1b[32m] \x1b[37m!' % js
raw_input('[!] Back \xe2\x9e\xa4 %s' % i)
main()
elif chos == '7' or chos == '07':
ia = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
bc = open(ia).read()
js = ia.replace('.py', '_enc.py')
a = []
b = []
bin = ''
xUn = compile(bc, '<tegarid>', 'exec')
xGs = marshal.dumps(xUn)
bin += binascii.hexlify(xGs)
for g in bin:
a.append(ord(g) - 9)
for lx in range(len(a)):
b.append(randint(1, 120))
c = []
d = 0
for x in b:
c.append(9 * b[d])
d += 1
x_x = lambda : randint(1, 255)
xz = []
na = open(js, 'w')
na.write('import marshal\n_ = ' + str(b) + '\n__ = ' + str(c) + '\nOoO_ = ' + str(a) + '\nu = ( ( { } < ( ) ) - ( { } < ( ) ) )\nimport marshal\nx = lambda f_ : marshal.loads(f_)\np = (({}<())-({}<()))\nv = 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<=())+(()>[])+(()>={}))))+((([]>())+({}<=())))))<<((({}=={})+([]>={}))))+(((()!=[])*([]>{})))),((((({}!=[])+([]<=[])+(()>=()))+(({}<[])+([]==[])+(()>=[]))+(([]<())*([]==[])))<<((({}=={})+({}<()))+(({}>={})+([]<=()))))-((((()>{})-(()!=())))<<((([]<[])+([]!=()))))),(((((()>={})+([]==[]))+((()!={})+(()<=()))+(([]>={})-({}>=())))<<(((()>={})+({}<())+({}!=[]))))),(((((()>=())+(()>=[])+({}<[])))<<((([]!=())+(()>[]))+((()<=())+({}<()))+((()==[])+([]<=()))))-((([]<=[])+({}>=())))),((((({}!=[])+([]>={})+([]==[])))<<(((()!={})+([]<=()))+(([]!={})+(()>={}))+(({}!={})+({}!=()))))-((([]<=())*(()!={})))),(((((()>{})+(()>=()))+(([]!=())+({}=={}))+((()<={})+([]<=[])))<<((({}<[])+({}<=[])+(()>=()))))+((({}>={})*({}<())))),((((([]==[])+(()!={}))+((()!={})+(()<=()))+((()!={})+([]<[])))<<((([]!=())+(()>=())+({}>={}))))+((({}<=())+([]>=())))),(((((()==())+([]>{})+([]>={}))+((()<=())+([]>={})+(()!=[]))+((()==())-([]==())))<<((({}>={})+([]>={})+([]<()))))+(((([]<=[])*([]>={})))<<(((()<=())+({}==[]))))),((((({}!=[])+({}<()))+((()!=[])+([]<()))+(([]<())-(()<[])))<<((({}<=[])-(()!=()))))),(((((((((((()=={})+(()>={})))<<(((()>=())+(()==())+([]<=()))))+((({}<=[])*({}<={})))))))))),((((((((()>{})+({}>=())))<<((([]!=())+(()!=[]))+(({}>={})+({}<={}))))-((({}>=())+(()>=[])))))<<(((()>=[])+([]!={})+([]<=()))))-((((()>[])*([]!={})))<<((({}!=[])+([]>()))))),(((((((({}<())+([]>{})+(()>={})))<<((({}=={})+(()!=[])+([]!=()))))-(((()!=[])*(()!={})))))<<((([]>={})*({}=={}))))),((((([]>=[])+([]>=[])+({}<())))<<(((()>=())+(()>=()))+((()>[])+({}>={}))+(({}<=[])-({}==[]))))+((({}=={})*([]!={})))),((((([]!={})+([]<=())+({}<()))+(({}<=[])+({}>={})+(()==()))+(([]==[])-(()=={})))<<((({}<())+([]<=[]))+((()>{})+(()>={}))))),((((({}<={})+([]>{})+(()>=[]))+((()!={})+({}<[])+({}<=()))+(({}!=())*([]==[])))<<((([]<=())+([]>=[]))+(([]!=())+(()>=()))))),((((((((()>=[])+(()>=())+(()>=[])))<<(((()>={})+(()>={})+([]<=()))))+((([]=={})+({}<[])))))<<((([]>={})+(()>={}))))+((([]<=[])*({}!=[])))),((((([]!={})+(()>=())+({}<={}))+(({}<=())+({}=={})+({}<=[]))+(([]>{})+(()<())))<<(((()>={})+([]>{}))+(({}<=())+(()==()))))-(((({}<[])-([]<={})))<<(((()=={})+([]!={}))))),(((((((({}<[])+(()!=[])+({}<())))<<((({}!=[])+(()!={})+(()<=()))))+((({}<{})+([]==[])))))<<((([]>=[])+(()>[]))))),((((([]>{})+({}!=[]))+(([]==[])+([]<=()))+(([]<())+(()>())))<<((({}=={})+(()!=[])+([]!={}))))),((((({}<())+([]<=[])+([]<=())))<<((({}<=[])+([]<()))+(({}>={})+({}<=()))+(({}<[])-({}<{}))))-((({}!=())*({}<={})))),(((((()>[])+([]<=())+(()>=[])))<<((([]==[])+([]<()))+(([]<=[])+({}<=()))+(({}=={})+([]<={}))))-(((()==())+({}<{})))),(((((((({}<=())+({}<={})+(()>={})))<<((({}!=())+([]!={})+([]>=[]))))-((([]==[])*([]>{})))))<<(((()>=())+([]==[]))))-((([]<=[])+({}>=())))),(((((((([]>={})*(()>=[])))<<((([]<())+(()>[]))+((()!={})+({}<={}))))-((([]!={})+({}>[])))))<<(((()>={})+(()!={})+([]!=()))))-((({}!=())+([]!={})+(()<=())))),((((((((()<=())+([]<=[])+(()==())))<<((([]>={})+([]<=[])+([]>{}))))-((([]>=[])-(()<={})))))<<(((()<=())+([]!={}))))+((([]!=())*(()>=[])))),(((((()<())+({}<={})))<<((({}=={})+([]<=()))+((()<=())+({}<=[]))+(([]==[])-(()<={}))))),((((({}>={})+({}>={})+({}>={})))<<((([]>=[])+(()!=[]))+(([]>={})+([]>{}))))-(((()!={})+([]<[])))),(((((()>={})-([]=={})))<<(((()>={})+([]<()))+(([]!={})+([]>={}))+(({}!=[])-(()!=()))))),((((({}<())+(()>[])+(()>{})))<<((({}<())+([]<=()))+(({}<=())+([]>={}))+(({}!=())+({}>=[]))))-((([]!={})+([]!=[])))),(((((((([]==[])+(()!=[])+({}>={})))<<((({}<={})+(()==())+({}=={}))))-(((()>=())*(()>{})))))<<((({}<=[])+({}>={}))))-((({}<{})+(()>[])))),((((([]>=[])+([]<=())+({}!=()))+(([]<())+({}>={})+([]<=()))+(({}>={})-(()=={})))<<(((()!={})+([]>{}))+((()>=[])+(()!={}))))),(((((((({}<=[])+({}!=[])+({}=={})))<<((([]>{})+(()>=())+({}<={}))))-((({}<())*(()==())))))<<((({}<={})+({}!=()))))+(((()<=())-({}>=())))),((((([]>={})+(()>=()))+((()!=[])+({}!=()))+(({}<{})+(()<=())))<<((([]<())+({}!=())+([]==[]))))+((({}<{})+({}<=[])))),((((({}=={})+(()==()))+(({}<=())+([]!=()))+(({}<[])+(()<{})))<<((({}!=())+([]!=[]))))),(((((((((((()==())*(()!={})))<<((({}!=())+(()==())+(()==()))))+((({}<={})-([]==())))))))))),((((((((()<{})+([]!=())))<<(((()<=())+({}>={}))+(([]<=[])+(()>={}))))-((({}<=())*([]<())))))<<((({}<=[])+([]>={})+(()!={}))))-((({}!=())+({}<={})+([]<=[])))),(((((((((({}<=())+(()!=[])+([]<())))<<((({}>={})+([]>=[]))))-((([]>={})-(()<{})))))))<<((({}<=[])+({}=={}))))),(((((()!=[])+([]>=[])+([]<=()))+((()!={})+({}=={})+(()>={}))+((()>={})*(()!={})))<<((([]!={})+(()>=[]))+(({}<=[])+(()>={}))))),(((((((({}!=())+([]<{})))<<((([]!=())+({}!=()))+(({}>={})+({}!=()))))-((([]<=())*(()==())))))<<((({}<[])+({}<={}))))+((([]==[])*({}!=())))),(((((()==())+(()<=()))+(([]<=[])+(()==()))+(({}<())*({}<=())))<<((({}<=[])+({}=={})+(()>{}))))),((((({}<())+([]<=[])+([]>={})))<<((({}!=[])+({}!=()))+(({}<[])+([]==[]))))),(((((((((({}<=[])+(()>[])+([]<=())))<<((({}<[])+(()!={}))))-(((()>=[])+([]<[])))))))<<((({}>={})+({}<=()))))),(((((()>{})+([]<=[])+([]==[])))<<((([]<=[])+(()!={}))+(([]>{})+({}!=[]))))),((((([]<=())+(()>=()))+(([]>=[])+({}!=[]))+(({}=={})-({}>=[])))<<((({}=={})+(()!=[])+(()>=[]))))+((([]<=())*(()<=())))),((((([]<())+([]<()))+(([]==[])+({}>={}))+((()!={})-({}<{})))<<(((()<=())+([]>[]))))),(((((((((({}<=[])+([]>=[])+([]<())))<<(((()>=[])+(()>[]))))+(((()>[])*([]!=())))))))<<((({}<=[])+(()>{})+({}<={}))))-(((([]==[])*(()>{})))<<((({}!=())*(()>[]))))),((((({}<=[])+({}<())+({}<[]))+((()>=[])+(()!=[])+({}>={}))+(([]!=[])+(()>[])))<<(((()<=())+({}!=()))+(([]==[])+({}>={}))))-(((()<={})+({}<[])))),(((((()>={})+([]==[])+({}<()))+(([]==[])+({}<={})+([]!={}))+((()!=[])-({}>=())))<<(((()>{})+(()<=()))+((()>=())+({}!=()))))+(((([]>=[])-(()>())))<<((([]<{})+({}<=[]))))),(((((()<=())*({}=={})))<<((([]<=[])+(()>[]))+((()==())+(()<=()))+(({}<=[])*(()>=[]))))),((((({}!=[])+({}>={})+(()==())))<<((({}<=())+([]<()))+((()<=())+(()<=()))+(({}>[])+({}!=[]))))-((([]>={})-([]>=())))),(((((()>=())+({}!=())+({}<={})))<<(((()>=())+([]<=[]))+(({}>={})+(()!=[]))+((()>=())-([]==()))))+((((()==())-(()<=[])))<<(((()==[])+({}!=[]))))),((((((((()>[])+({}!=())+(()<=()))+(([]<=[])+({}<())+(()!={}))+((()>=())+(()=={})))<<((({}!=[])+([]>{}))))-(((()!=[])*(()!={})))))<<(((()>{})+([]<()))))),(((((((((([]!=())+([]>={})+({}<[])))<<(((()<=())+({}=={}))))+(((()!=[])*(()>=[])))))))<<(((()>[])+(()>=[])+([]<=[]))))+((({}<={})*({}<())))),((((((((()!=[])+(()<={})))<<((({}=={})+({}!=()))+((()<=())+([]<()))))-(((()!=())+(()>=[])))))<<(((()>{})+({}<=())+({}>={}))))+((((()>{})*({}!=[])))<<(((()>{})+([]==()))))),(((((()!=[])+({}!={})))<<(((()>[])+({}!=[]))+((()<=())+(()!={}))+((()!=[])*(()>[]))))),((((((((((()==())+(()!=[])+(()==())))<<((({}<={})+([]<=()))))+(((()>=[])*(()==())))))))<<(((()>={})+([]>={})+([]!={}))))+((({}!=[])*(()==())))),((((({}<())+(()>={})+({}<[]))+((()!=[])+(()>={})+(()>=[]))+(({}<=[])-(()<[])))<<((([]>={})+({}!=[]))+(([]>{})+([]!=()))))-(((({}>[])+({}>={})))<<((({}!={})+([]<()))))),((((({}<=())+({}>())))<<((({}<[])+([]==[]))+(({}!=[])+([]<=[]))+(({}<=())*([]!={}))))),((((([]!=())+(()>=())+([]>={}))+(({}<())+([]<=[])+([]<()))+(({}<())*(()>[])))<<((({}<=[])+(()>[]))+((()<=())+([]!={}))))+(((({}!={})+([]==[])))<<((({}>{})+({}<={}))))),((((({}<=[])+({}!=[])+(()>=[])))<<(((()==())+([]<=()))+((()>=[])+({}=={}))+(([]!=[])+(()==()))))+(((()!={})+([]>[])))),(((((()>{})+([]<=[])+(()>[]))+((()>=())+(()>=())+(()==()))+(({}==[])+(()!=[])))<<((({}<=[])+({}=={}))+((()!=[])+([]<()))))-(((({}<[])*({}<={})))<<(((()<=())-({}!={}))))),(((((((((({}=={})+(()>=[])+({}!=())))<<((({}<=[])+(()==()))))+((([]!=())-(()<())))))))<<((({}!=[])+([]==[])+({}!=[]))))-(((()==())+([]=={})))),(((((((([]>=[])+([]<())+(()!={})))<<((({}<())+({}<[])+([]!={}))))+((({}=={})+([]>=())))))<<((({}<=())+([]<=[]))))+((([]>())+(()>{})))),((((([]<=[])+([]!={}))+((()<=())+([]>=[]))+(([]>())+(()!={})))<<((([]<=[])+([]>{})+([]<()))))),(((((((({}<())+(()>={})+([]>{}))+(([]<=[])+(()>=())+(()!=[]))+((()<=())*({}<=[])))<<(((()>={})+({}<=()))))-((([]>())+([]!={})))))<<((([]!=())+({}<=[]))))),(((((((([]!={})+([]<=())+({}>={})))<<(((()>[])+([]>{})+([]<()))))+((({}<{})+(()>[])))))<<((({}>={})+([]==[]))))+((({}<())*([]>=[])))),((((([]==[])+({}<())+([]<=()))+((()>=())+({}=={})+(()<=()))+(({}==())+({}<[])))<<((({}!=())+([]!={}))+(([]<=[])+([]!=()))))-(((([]<())-({}>=[])))<<((({}>{})+(()<=()))))),((((([]>{})+(()!={}))+(([]!=())+({}>={}))+(({}<={})*([]<())))<<((([]>=[])+(()!={})+(()>={}))))),((((([]<())+({}<={}))+(({}<[])+({}<()))+(([]!={})-(()=={})))<<((([]!={})+(()>={}))+((()!={})+([]>{}))))-((([]!=())*({}<=[])))),(((((()>={})+({}>={})+(()<=()))+((()!={})+({}<=())+(()==()))+((()>=[])*({}=={})))<<((({}!=())+([]>{}))+((()!=[])+(()!=[]))))-((({}<[])-([]>[])))),(((((()==())+(()>=[]))+(({}>={})+([]>=[]))+((()<=())-(()<={})))<<(((()!=[])+({}!=()))+(({}<={})+({}=={}))))-(((()==())-([]>[])))),((((({}!=())+(()>[])+({}=={})))<<(((()!=[])+(()<=()))+(({}!=[])+([]>=[]))+((()>=[])+([]=={}))))-(((()<=())*({}>={})))),(((((()>{})+([]>={}))+(({}<=[])+(()>[]))+(([]=={})+(()<=())))<<((({}!=())+([]!={})+([]!=()))))+(((()<=())+({}>=())))),((((({}!=())+({}!=[]))+(({}!=())+([]>={}))+((()<=())+(()<())))<<(((()>=[])+([]!={})+({}<()))))+((([]!=[])+([]<=[])))),((((([]==[])+([]!={})+({}<[]))+(([]<=())+(()!={})+(()>{}))+(([]>={})+([]>[])))<<((({}<={})+([]<())+({}!=[]))))+((((()>=[])*(()<=())))<<(((()>[])-(()>()))))),((((({}<=[])+(()<=()))+((()!={})+({}<()))+((()<=())-([]>())))<<((([]<={})+({}<[]))))),((((((((((([]==[])*([]>{})))<<((({}>={})+([]<())+(()!={}))))+((([]>=[])*(()!={})))))))))),(((((((({}!=())+({}!=())+({}=={}))+(({}<=[])+({}=={})+([]!=()))+(([]>={})-({}>())))<<(((()>=())+({}!=()))))-(((()!={})+({}!={})))))<<((([]>=[])+({}<=()))))),((((((((()<={})+(()<=())))<<((([]!=())+([]<=[]))+((()>=[])+(()>=[]))))-(((()>{})*(()!={})))))<<((([]!=())+([]<())+(()==()))))),(((((((([]<())+(()>=[])+([]<=[])))<<((([]<=())+(()>{})+({}<={}))))-((([]>{})*({}=={})))))<<((({}<[])-([]=={}))))),((((([]>{})+([]>={})+({}!=[])))<<((([]<=())+(()!={}))+(({}!=())+(()!={}))+((()>[])*([]>=[]))))+((([]>=[])+([]<={})))),((((({}!=())+(()<=())+([]<=[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x("".join([chr(i) for i in lx]).decode("hex"))')
na.close()
py_compile.compile(js)
os.system('rm ' + js)
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%sc \x1b[32m] \x1b[37m!' % js
raw_input('[!] Back \xe2\x9e\xa4 %s' % i)
main()
elif chos == '8' or chos == '08':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
xs = zlib.compress(oa)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport zlib\nexec(zlib.decompress(' + repr(xs) + '))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
ci = zlib.compress(nz)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport zlib\nexec(zlib.decompress(' + repr(ci) + '))')
ns.close()
cout += 1
continue
break
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
else:
print '%s[%s+%s] %sCout Terlalu Besar \xe2\x9d\x97' % (b, m, b, gr)
waktu(0.8)
main()
elif chos == '9' or chos == '09':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
xs = base64.b64encode(oa)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b64decode("' + xs + '"))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
ci = base64.b64encode(nz)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b64decode("' + ci + '"))')
ns.close()
cout += 1
continue
break
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '10':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
xs = base64.b16encode(oa)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b16decode("' + xs + '"))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
ci = base64.b16encode(nz)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b16decode("' + ci + '"))')
ns.close()
cout += 1
continue
break
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '11':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
xs = base64.b32encode(oa)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b32decode("' + xs + '"))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
ci = base64.b32encode(nz)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nexec(base64.b32decode("' + ci + '"))')
ns.close()
cout += 1
continue
break
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '12':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
cot = int(raw_input('%s[%s\xe2\x9b\xa5%s] %sMau Berapa Lapis >> %s' % (b, m, b, gr, i)))
if cot < 500000:
out = file.replace('.py', '') + '_enc.py'
oa = open(file).read()
cpa = compile(oa, '<tegarid>', 'exec')
cotn = marshal.dumps(cpa)
xs = base64.b64encode(cotn)
s = open(out, 'w')
s.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nimport marshal\nexec marshal.loads(base64.b64decode("' + xs + '"))')
s.close()
while True:
if cot >= cout:
nz = open(out).read()
ci = base64.b32encode(nz)
ns = open(out, 'w')
ns.write('#Code Encrypted By Raka Andrian Tara\nimport base64\nimport marshal\nexec marshal.loads(base64.b64decode("' + ci + '"))')
ns.close()
cout += 1
continue
break
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % out
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '13':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
bc = open(file).read()
js = file.replace('.py', '_enc.py')
a = []
b = []
bin = ''
xh = compile(bc, '<tegarid>', 'exec')
pg = marshal.dumps(xh)
bin += binascii.hexlify(pg)
for g in bin:
a.append(ord(g) - 9)
for lx in range(len(a)):
b.append(randint(1, 120))
c = []
d = 0
for x in b:
c.append(9 * b[d])
d += 1
x_x = lambda : randint(1, 255)
xz = []
for asx in range(255):
xz.append(x_x())
na = open(js, 'w')
na.write('z = ' + str(xz) + '\n')
na.write('_ = ' + str(b) + '\n__ = ' + str(c) + '\nOoO_ = ' + str(a) + '\nimport marshal\nOO = lambda _ : marshal.loads(_)\nu = ( ( { } < ( ) ) - ( { } < ( ) ) )\np = (({}<())-({}<()))\nv = 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]))+((()>=())+([]!={})+(()!={}))+((()<{})+({}>={})))<<(((()<=())+([]<=()))+(({}!=())+([]>=[]))))),(((((()>={})+(()>[])+(()!=[]))+(({}<[])+({}!=[])+({}=={}))+((()!={})-([]=={})))<<(((()>[])+([]==[]))+((()<=())+({}<()))))),((((((((()!={})+(()>=())+({}<[])))<<(((()>={})+([]<=[])+(()>={}))))+((({}=={})+(()>())))))<<((({}<=())+({}<={}))))+((({}>={})*(()>={})))),((((([]==[])+(()!=[])+({}<()))+(([]>=[])+(()!={})+({}>={}))+((()>[])-({}<{})))<<((([]!={})+(()>=[]))+(({}!=())+(()>[]))))-((((()==())*({}<=[])))<<(((()>{})+({}<{}))))),(((((((([]>{})+(()>{})+({}!=[])))<<((([]>={})+({}<={})+([]!={}))))+(((()!={})+([]<[])))))<<(((()>[])+(()>{}))))),(((((()>=())+(()>{}))+((()>=[])+([]<()))+((()!=())+(()!=[])))<<(((()>[])+([]<=[])+([]>=[]))))),((((({}<())+([]<=()))+(({}<())+({}<=()))+((()<=())+({}>())))<<((({}>={})+([]>={}))+((()!={})+({}!=()))))-(((()>={})+({}>())))),(((((()==())+({}<[])+([]<=[]))+(({}<[])+({}!=())+(()<=()))+(({}!=())*(()<=())))<<((([]!=())+([]>={}))+(({}!=())+([]>={}))))-(((()>{})+([]=={})))),(((((()!=[])+({}=={}))+(([]>={})+([]!={}))+(([]!={})+({}>())))<<((([]<())+(()>=[]))+(([]!={})+(()>=()))))-((({}<[])*({}<())))),(((((()>{})+({}<[])+([]!=())))<<(((()<=())+([]<=[]))+((()>={})+(()>{}))+(([]==[])+([]>()))))-(((()=={})+(()!=[])))),((((((((()>=())+(()<=())+({}<[])))<<((([]<=[])+([]<())+(()!=[]))))-((({}!=())-(()==[])))))<<((([]>={})+([]>=[]))))-((([]!={})+({}<{})))),((((((((()>={})*({}=={})))<<((({}<=[])+(()>{}))+(([]<=[])+(()==()))))-((({}!={})+([]<())))))<<((([]>={})+(()>={})+({}<=()))))-(((()<=())+(()>{})+(()==())))),(((((((([]==[])+({}>={})+(()<=())))<<((([]<=())+(()!={})+([]>={}))))-((([]<=())+(()!=())))))<<(((()==())+([]!=()))))+((([]>())+([]<=[])))),(((((()<=())+(()<())))<<(((()!={})+([]>=[]))+(({}<[])+(()!={}))+(([]<[])+(()>[]))))),(((((((((([]<=[])+({}!=[])+({}>={})))<<((([]!={})+({}!=[]))))-((({}>=())+(()<=())))))))<<((({}<())+([]>{}))))-((({}<[])-(()<=[])))),((((({}>={})*({}=={})))<<((([]>=[])+(()!=[]))+(({}!=())+({}<={}))+(({}<())+({}==[]))))),(((((((([]==())+({}<={})))<<((({}=={})+([]==[]))+(({}=={})+(()<=()))))-(((()>[])+([]!=[])))))<<((({}<())+([]>=[])+({}=={}))))-(((([]>={})-([]<={})))<<((({}==())+([]!={}))))),((((((((()>=[])+([]<=[])+({}<={})))<<((([]>=[])+(()>[])+([]>={}))))-((([]=={})+(()>{})))))<<((({}!=())+({}<=[]))))-((([]>={})+(()<{})))),(((((()==())+(()==())+({}<=()))+(({}<={})+(()>=())+({}!=[]))+((()<{})+({}<={})))<<((({}>={})+(()>={}))+(([]>{})+([]>{}))))),(((((((({}<())+([]>={})+(()<=())))<<(((()>=())+({}=={})+(()!=[]))))-(((()>={})+({}==())))))<<((({}=={})+([]<()))))+(((()>=())-(()<={})))),((((({}<())+({}<=()))+(({}=={})+([]>={}))+(({}<())+({}>[])))<<((({}!=[])+(()==())+(()>={}))))+(((()!=[])-([]>=())))),((((([]<())+({}!=()))+(({}<[])+([]==[]))+(([]<=())*({}!=[])))<<((([]>=[])-(()<=[]))))),((((((((((({}==())+([]>=[])))<<((([]>{})+({}!=[])+(()<=()))))+(((()>={})*({}=={})))))))))),(((((((({}>[])+(()!={})))<<((({}!=())+(()==()))+(({}!=[])+(()==()))))-((({}<=[])*([]!=())))))<<((({}!=())+({}>={})+({}<=()))))-(((()>=[])+([]==[])+(()>=())))),((((([]>())+({}<=())))<<((([]<=[])+(()>=()))+(({}!=[])+(()>[]))+(({}>[])+({}=={}))))),(((((((((({}<={})+([]!=())+(()>{})))<<((([]==[])+(()!={}))))-(((()!={})+([]<[])))))))<<(((()>{})+(()<=()))))-((([]<{})+(()>=())))),(((((((({}!=())+(()!=())))<<((({}<={})+([]<=()))+(([]==[])+([]<=[]))))-(((()!={})+({}>())))))<<((([]<=())+({}!=()))))+((({}==())+({}!=())))),((((([]<=[])-(()<())))<<((({}!=[])+({}<=[]))+((()>=[])+([]<=()))+(({}>={})+([]<[]))))),(((((()==())+({}!=())+({}<=[])))<<((([]>={})+([]!={}))+(({}!=())+(()>={}))))+((([]<{})+(()>[])))),((((([]<())+({}!=[]))+(({}>={})+([]<=[]))+(([]<())+({}>=[])))<<((([]!=())-([]>()))))),(((((((((((()>{})+([]==())))<<((({}>={})+([]>={})+(()>{}))))+((([]>[])+({}<={})))))))))),((((([]<=[])+([]<=())+([]>={}))+(([]<())+([]<())+(()>={}))+(({}==[])+([]>=[])))<<((([]<=())+([]==[]))+((()!={})+({}<[]))))),(((((()>=[])-(()<=[])))<<((([]>{})+([]>=[]))+(([]<=[])+([]<()))+(([]==())+({}=={}))))),(((((((((([]!={})+([]<=())+(()!=[])))<<(((()>=())+([]>=[]))))-((([]<[])+({}<())))))))<<((([]!=())+(()>=()))))-((({}<[])+([]==())))),((((((((()>())+(()<=())))<<((([]!=())+(()>={}))+(({}=={})+({}<()))))-((({}==[])+({}>={})))))<<(((()>={})+({}>={}))))+((([]<())*([]==[])))),((((([]>())+([]<=[])))<<((({}<[])+(()>={}))+(({}<={})+([]==[]))+(([]<=())+(()<=[]))))),((((({}!=())+({}!=())+({}!=())))<<((([]>{})+(()!={}))+(([]>{})+({}!=[]))))+(((()<={})+(()==()))))]))\nexec OO("".join([chr(i) for i in lx]).decode("hex"))')
na.close()
bva = open(js).read()
bgx = open(js, 'w')
_bLos = compile(bva, '<tegarid>', 'exec')
_vjd = marshal.dumps(_bLos)
gz = repr(_vjd)
bgx.write('#Code Encrypted By Raka Andrian Tara\nimport marshal\nexec(marshal.loads(' + str(gz) + '))')
bgx.close()
py_compile.compile(js)
gb = open(js + 'c').read()
bi = open(js, 'w')
bi.write(gb + '\n\n\n\tOBFUSCATE BY Raka Andrian Tara\n\tINFO : DONT TRY TO EDIT OTHER WISE YOUR ECRYPT FILE EROR !\n\n')
bi.close()
os.system('rm ' + js + 'c')
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % js
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '14':
print lis
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
bc = open(file).read()
js = file.replace('.py', '_enc.py')
gx = base64.b32encode(bc)
a = []
b = []
c = []
d = ''
e = ''
for x in gx:
a.append(ord(x))
z = 0
while True:
if z >= len(a) / 2:
break
z += 1
v = len(a) / 2 + 1
try:
while True:
v += 1
except IndexError:
pass
for s in c:
d += chr(s)
e += bin(int(binascii.hexlify(d), 16))
f = open(js, 'w')
f.write('import binascii,base64\ng = ' + str(b) + "\ns = '" + str(e) + "'" + "\neval(compile(base64.b32decode(''.join([chr(i) for i in g])+binascii.unhexlify('%x' % int(s, 2))),'<sazxt>','exec'))")
f.close()
py_compile.compile(js)
gb = open(js + 'c').read()
bi = open(js, 'w')
bi.write(gb + '\n\n\n\tOBFUSCATE BY Raka Andrian Tara\n\tINFO : DONT TRY TO EDIT OTHER WISE YOUR ECRYPT FILE EROR !\n\n')
bi.close()
os.system('rm ' + js + 'c')
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % js
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '15':
file = raw_input('%s[%s\xe2\x9b\xa5%s] %sFile >> %s' % (b, i, b, gr, i))
notes = raw_input('%s[%s\xe2\x9b\xa5%s] %sType Your Name >> %s' % (b, i, b, gr, i))
js = file.replace('.py', '_enc.py')
py_compile.compile(file)
gb = open(file + 'c').read()
bi = open(js, 'w')
bi.write(gb + '\n\n\n\t' + notes)
bi.close()
os.system('rm ' + file + 'c')
print '\x1b[34m[\x1b[31m!\x1b[34m] \x1b[37mDone \x1b[32m[ \x1b[37m%s \x1b[32m] \x1b[37m!' % js
raw_input('%s[%s\xe2\x9d\x97%s] %sBack %s\xe2\x9e\xa4 %s' % (b, m, b, gr, i, cg))
main()
elif chos == '0' and chos == '00' and chos == '0' and chos == '00' and chos == '0' or chos == '00':
sys.exit()
else:
print '%s[%s!%s] %sWrong Input !' % (b, m, b, gr)
waktu(0.5)
main()
except KeyboardInterrupt:
print '%s[%s!%s] %sCtrl+C not Working Pliss ctr+d !' % (b, m, b, gr)
waktu(0.5)
main()
except EOFError:
sys.exit()
except IOError:
print '%s[%s\xe2\x9d\x97%s] %sFile Tidak Di Temukan !' % (b, m, b, gr)
waktu(0.5)
main()
except ValueError:
print '%s[%s!%s] %sCout Berupa Angka ! ' % (b, m, b, gr)
main()
| 151.526221
| 19,677
| 0.121763
| 3,123
| 83,794
| 3.235351
| 0.096702
| 0.009501
| 0.017815
| 0.03464
| 0.796219
| 0.792063
| 0.775831
| 0.773951
| 0.766825
| 0.760293
| 0
| 0.012997
| 0.122204
| 83,794
| 552
| 19,678
| 151.800725
| 0.124371
| 0.000692
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| 0.746094
| 1
| 0.074219
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| 0.722344
| 0.001953
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| null | null | 0.001953
| 0.068359
| null | null | 0.056641
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| 0
|
0
| 13
|
66bde39cac408fadfed8a00ffefc7b597aae6f6d
| 41
|
py
|
Python
|
src/toolkit/__init__.py
|
yelingqun/toolkit_demos
|
12dd9431b2e306312c3b6059356be9a91b68409a
|
[
"MIT"
] | null | null | null |
src/toolkit/__init__.py
|
yelingqun/toolkit_demos
|
12dd9431b2e306312c3b6059356be9a91b68409a
|
[
"MIT"
] | null | null | null |
src/toolkit/__init__.py
|
yelingqun/toolkit_demos
|
12dd9431b2e306312c3b6059356be9a91b68409a
|
[
"MIT"
] | null | null | null |
from . import pytorch
from . import mnist
| 20.5
| 21
| 0.780488
| 6
| 41
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0
| 7
|
dd1a8b332b6e8bfe8da03e382594754840ac8be8
| 81,162
|
py
|
Python
|
itembase/core/migrations/0001_initial.py
|
wedwardbeck/ibase
|
5647fa5aff6c1bdc99b6c93884ff0d5aef17d85b
|
[
"MIT"
] | null | null | null |
itembase/core/migrations/0001_initial.py
|
wedwardbeck/ibase
|
5647fa5aff6c1bdc99b6c93884ff0d5aef17d85b
|
[
"MIT"
] | 9
|
2020-01-17T14:16:08.000Z
|
2020-02-18T15:07:40.000Z
|
itembase/core/migrations/0001_initial.py
|
wedwardbeck/ibase
|
5647fa5aff6c1bdc99b6c93884ff0d5aef17d85b
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.2.9 on 2020-01-25 00:04
import autoslug.fields
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import itembase.core.models
import phonenumber_field.modelfields
import simple_history.models
import versatileimagefield.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='AddressType',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('address_type', models.CharField(max_length=20, verbose_name='Address Type')),
('usage', models.CharField(choices=[('L', 'Location'), ('V', 'Vendor'), ('C', 'Client')], max_length=1, verbose_name='Gender')),
('fa_string', models.CharField(blank=True, max_length=50, null=True, verbose_name='FA String')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='address_type_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
),
migrations.CreateModel(
name='Brand',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=75, verbose_name='Brand')),
],
),
migrations.CreateModel(
name='Client',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('client_code', models.CharField(max_length=10, unique=True, verbose_name='Client Code')),
('client_name', models.CharField(max_length=100, verbose_name='Client Name')),
('slug', autoslug.fields.AutoSlugField(editable=False, populate_from='client_code', unique=True)),
('service_start', models.DateField(default=django.utils.timezone.now, verbose_name='Service Start')),
('service_end', models.DateField(blank=True, null=True, verbose_name='Service End')),
('imp_fee_status', models.SmallIntegerField(choices=[(1, 'New'), (2, 'Billed'), (3, 'Partially Paid'), (4, 'Paid')], default=1, verbose_name='Implementation Fee Status')),
('client_status', models.SmallIntegerField(choices=[(1, 'New'), (2, 'Under Implementation'), (3, 'HyperCare Period'), (4, 'Live'), (5, 'Inactive')], default=1, verbose_name='Client Status')),
('production_support_number', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, null=True, region=None, verbose_name='Production Support Number')),
('approved', models.BooleanField(default=False)),
('upload_address', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Upload Address')),
('iq_support_address', models.EmailField(blank=True, max_length=254, null=True, verbose_name='IQ Support Address')),
('logo', versatileimagefield.fields.VersatileImageField(blank=True, null=True, upload_to=itembase.core.models.client_logo_directory_path, verbose_name='Image')),
('created_on', models.DateTimeField(auto_now_add=True)),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Client',
'verbose_name_plural': 'Clients',
},
),
migrations.CreateModel(
name='EngagementType',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('service_description', models.CharField(max_length=100, verbose_name='Service')),
('service_abbreviation', models.CharField(max_length=10)),
('created_on', models.DateTimeField(auto_now_add=True)),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Engagement Type',
'verbose_name_plural': 'Engagement Types',
},
),
migrations.CreateModel(
name='FeeGroup',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100, verbose_name='Name')),
('description', models.CharField(max_length=255, verbose_name='Description')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='fee_group_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Fee Group',
'verbose_name_plural': 'Fee Groups',
},
),
migrations.CreateModel(
name='InstallBase',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=50, verbose_name='Name')),
],
options={
'verbose_name': 'Install Base',
'verbose_name_plural': 'Install Bases',
},
),
migrations.CreateModel(
name='Location',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('loc_id', models.CharField(max_length=50, verbose_name='Location ID')),
('name', models.CharField(max_length=150, verbose_name='Primary Name')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('client', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='location_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
),
migrations.CreateModel(
name='StaffRoles',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('role', models.CharField(max_length=30)),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='staff_roles_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Staff Role',
'verbose_name_plural': 'Staff Roles',
},
),
migrations.CreateModel(
name='UnitOfMeasure',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=50, unique=True, verbose_name='Unit')),
('abbreviation', models.CharField(max_length=15, verbose_name='Abbreviation')),
('description', models.CharField(max_length=150, verbose_name='Description')),
('created_on', models.DateTimeField(auto_now_add=True)),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='uom_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Unit of Measure',
'verbose_name_plural': 'Units of Measure',
},
),
migrations.CreateModel(
name='Vendor',
fields=[
('id', models.BigAutoField(primary_key=True, serialize=False)),
('name1', models.CharField(max_length=150, verbose_name='Primary Name')),
('name2', models.CharField(blank=True, max_length=100, verbose_name='Additional Name ')),
('taxid', models.CharField(blank=True, max_length=15, verbose_name='Tax ID')),
('status', models.SmallIntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('num_items', models.IntegerField(blank=True, null=True, verbose_name='Number of Items')),
('num_locations', models.IntegerField(blank=True, null=True, verbose_name='Number of Locations')),
('created_on', models.DateTimeField(auto_now_add=True)),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vendor_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('parent', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='parent_vendor', to='core.Vendor', verbose_name='Parent Vendor')),
],
),
migrations.CreateModel(
name='VendorLocMatrix',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vlm_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('location', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='loc_2_vn', to='core.Location', verbose_name='Location')),
('vendor', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vn_2_loc', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'Vendor Location Record',
'verbose_name_plural': 'Vendor Location Records',
},
),
migrations.CreateModel(
name='VendorItem',
fields=[
('id', models.BigAutoField(primary_key=True, serialize=False)),
('item_number', models.CharField(max_length=100, verbose_name='Item Number')),
('description', models.CharField(max_length=255, verbose_name='Description')),
('pack_count', models.CharField(max_length=50, verbose_name='Package Count')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='item_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('uom', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='unitofmeasure', to='core.UnitOfMeasure', verbose_name='UOM')),
('vendor', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vendoritems', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'Item Data',
'verbose_name_plural': 'Item Data',
},
),
migrations.CreateModel(
name='VendorClientMatrix',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('client', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='client_2_vn', to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vcm_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('vendor', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vn_2_client', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'Vendor Client Record',
'verbose_name_plural': 'Vendor Client Records',
},
),
migrations.CreateModel(
name='VendorAddress',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('address1', models.CharField(max_length=255, verbose_name='Address 1')),
('address2', models.CharField(blank=True, max_length=255, null=True, verbose_name='Address 2')),
('city', models.CharField(max_length=255, verbose_name='City')),
('state', models.CharField(max_length=2, verbose_name='State')),
('postal_code', models.CharField(blank=True, max_length=20, null=True, verbose_name='Postal Code')),
('country', models.CharField(blank=True, max_length=3, null=True, verbose_name='Country')),
('phone_number', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, region=None, verbose_name='Phone Number')),
('email', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Email')),
('primary', models.BooleanField(default=False)),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('address_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.AddressType', verbose_name='Address Type')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vendor_address_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('vendor', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='vendor_address', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'Vendor Address',
'verbose_name_plural': 'Vendor Addresses',
},
),
migrations.CreateModel(
name='SystemType',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('code', models.CharField(default='ERP', max_length=5)),
('typename', models.CharField(max_length=50)),
('purpose', models.TextField(blank=True, verbose_name='System Use')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='system_type_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'System Type',
},
),
migrations.CreateModel(
name='System',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=75, verbose_name='System Name')),
('version', models.CharField(max_length=15, verbose_name='Version')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('brand', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.Brand')),
('install_base', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.InstallBase', verbose_name='Install Base')),
('type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.SystemType', verbose_name='System Type')),
],
options={
'verbose_name': 'System',
'unique_together': {('brand', 'name', 'version')},
},
),
migrations.CreateModel(
name='StaffTitle',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=50, verbose_name='Title')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='staff_title_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Staff Title',
'verbose_name_plural': 'Staff Titles',
},
),
migrations.CreateModel(
name='StaffShift',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('code', models.CharField(max_length=5, verbose_name='Code')),
('name', models.CharField(max_length=30, verbose_name='Shift Name')),
('start_time', models.TimeField(verbose_name='Starts UTC')),
('end_time', models.TimeField(verbose_name='Ends UTC')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='staff_shift_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Shift',
'verbose_name_plural': 'Shifts',
},
),
migrations.CreateModel(
name='StaffMember',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=50, verbose_name='First Name')),
('second_name', models.CharField(blank=True, max_length=50, null=True, verbose_name='Second Name')),
('last_name', models.CharField(max_length=50, verbose_name='Last Name')),
('gender', models.CharField(choices=[('F', 'Female'), ('M', 'Male')], max_length=1, verbose_name='Gender')),
('joined_on', models.DateField(verbose_name='Joined IQ On')),
('departed_on', models.DateField(blank=True, null=True, verbose_name='Left IQ On')),
('arch_id', models.CharField(blank=True, max_length=50, null=True, verbose_name='Archimedes ID')),
('emp_id', models.IntegerField(blank=True, null=True, verbose_name='Employee ID')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='staff_member_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('shift', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.StaffShift')),
('title', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.StaffTitle', verbose_name='Title')),
],
options={
'verbose_name': 'Staff Member',
'verbose_name_plural': 'Staff Members',
'ordering': ['first_name', 'second_name', 'last_name'],
'unique_together': {('first_name', 'second_name', 'last_name')},
},
),
migrations.CreateModel(
name='LocationAddress',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('address1', models.CharField(max_length=255, verbose_name='Address 1')),
('address2', models.CharField(blank=True, max_length=255, null=True, verbose_name='Address 2')),
('city', models.CharField(max_length=255, verbose_name='City')),
('state', models.CharField(max_length=2, verbose_name='State')),
('postal_code', models.CharField(blank=True, max_length=20, null=True, verbose_name='Postal Code')),
('country', models.CharField(blank=True, max_length=3, null=True, verbose_name='Country')),
('phone_number', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, region=None, verbose_name='Phone Number')),
('email', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Email')),
('primary', models.BooleanField(default=False)),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('address_type', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.AddressType', verbose_name='Address Type')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='location_address_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('location', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='location_address', to='core.Location', verbose_name='Location')),
],
options={
'verbose_name': 'address',
'verbose_name_plural': 'addresses',
},
),
migrations.CreateModel(
name='HolidayList',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=30, verbose_name='Description')),
('date_from', models.DateField(default=django.utils.timezone.now, verbose_name='Date Start')),
('date_to', models.DateField(default=django.utils.timezone.now, verbose_name='Date End')),
('notes', models.TextField(blank=True, null=True, verbose_name='Notes')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='holiday_list_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
],
options={
'verbose_name': 'Holiday',
'verbose_name_plural': 'Holidays',
},
),
migrations.CreateModel(
name='HistoricalVendorLocMatrix',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('location', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Location', verbose_name='Location')),
('vendor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'historical Vendor Location Record',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalVendorItem',
fields=[
('id', models.BigIntegerField(blank=True, db_index=True)),
('item_number', models.CharField(max_length=100, verbose_name='Item Number')),
('description', models.CharField(max_length=255, verbose_name='Description')),
('pack_count', models.CharField(max_length=50, verbose_name='Package Count')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('uom', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.UnitOfMeasure', verbose_name='UOM')),
('vendor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'historical Item Data',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalVendorClientMatrix',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('client', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('vendor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'historical Vendor Client Record',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalVendorAddress',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('address1', models.CharField(max_length=255, verbose_name='Address 1')),
('address2', models.CharField(blank=True, max_length=255, null=True, verbose_name='Address 2')),
('city', models.CharField(max_length=255, verbose_name='City')),
('state', models.CharField(max_length=2, verbose_name='State')),
('postal_code', models.CharField(blank=True, max_length=20, null=True, verbose_name='Postal Code')),
('country', models.CharField(blank=True, max_length=3, null=True, verbose_name='Country')),
('phone_number', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, region=None, verbose_name='Phone Number')),
('email', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Email')),
('primary', models.BooleanField(default=False)),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('address_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.AddressType', verbose_name='Address Type')),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('vendor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'historical Vendor Address',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalVendor',
fields=[
('id', models.BigIntegerField(blank=True, db_index=True)),
('name1', models.CharField(max_length=150, verbose_name='Primary Name')),
('name2', models.CharField(blank=True, max_length=100, verbose_name='Additional Name ')),
('taxid', models.CharField(blank=True, max_length=15, verbose_name='Tax ID')),
('status', models.SmallIntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('num_items', models.IntegerField(blank=True, null=True, verbose_name='Number of Items')),
('num_locations', models.IntegerField(blank=True, null=True, verbose_name='Number of Locations')),
('created_on', models.DateTimeField(blank=True, editable=False)),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('parent', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Vendor', verbose_name='Parent Vendor')),
],
options={
'verbose_name': 'historical vendor',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalUnitOfMeasure',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=50, verbose_name='Unit')),
('abbreviation', models.CharField(max_length=15, verbose_name='Abbreviation')),
('description', models.CharField(max_length=150, verbose_name='Description')),
('created_on', models.DateTimeField(blank=True, editable=False)),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Unit of Measure',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalTeamMember',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('valid_from', models.DateField(default=django.utils.timezone.now, verbose_name='Valid From')),
('valid_to', models.DateField(blank=True, null=True, verbose_name='Valid Until')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('client', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('role', models.ForeignKey(blank=True, db_constraint=False, limit_choices_to={'status': 2}, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.StaffRoles', verbose_name='Role')),
('staff', models.ForeignKey(blank=True, db_constraint=False, limit_choices_to={'status': 2}, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.StaffMember', verbose_name='Staff')),
],
options={
'verbose_name': 'historical Team Member',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalSystemType',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('code', models.CharField(default='ERP', max_length=5)),
('typename', models.CharField(max_length=50)),
('purpose', models.TextField(blank=True, verbose_name='System Use')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical System Type',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalStaffTitle',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('title', models.CharField(max_length=50, verbose_name='Title')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Staff Title',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalStaffShift',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('code', models.CharField(max_length=5, verbose_name='Code')),
('name', models.CharField(max_length=30, verbose_name='Shift Name')),
('start_time', models.TimeField(verbose_name='Starts UTC')),
('end_time', models.TimeField(verbose_name='Ends UTC')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Shift',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalStaffRoles',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('role', models.CharField(max_length=30)),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Staff Role',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalStaffMember',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('first_name', models.CharField(max_length=50, verbose_name='First Name')),
('second_name', models.CharField(blank=True, max_length=50, null=True, verbose_name='Second Name')),
('last_name', models.CharField(max_length=50, verbose_name='Last Name')),
('gender', models.CharField(choices=[('F', 'Female'), ('M', 'Male')], max_length=1, verbose_name='Gender')),
('joined_on', models.DateField(verbose_name='Joined IQ On')),
('departed_on', models.DateField(blank=True, null=True, verbose_name='Left IQ On')),
('arch_id', models.CharField(blank=True, max_length=50, null=True, verbose_name='Archimedes ID')),
('emp_id', models.IntegerField(blank=True, null=True, verbose_name='Employee ID')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('shift', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.StaffShift')),
('title', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.StaffTitle', verbose_name='Title')),
],
options={
'verbose_name': 'historical Staff Member',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalLocationAddress',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('address1', models.CharField(max_length=255, verbose_name='Address 1')),
('address2', models.CharField(blank=True, max_length=255, null=True, verbose_name='Address 2')),
('city', models.CharField(max_length=255, verbose_name='City')),
('state', models.CharField(max_length=2, verbose_name='State')),
('postal_code', models.CharField(blank=True, max_length=20, null=True, verbose_name='Postal Code')),
('country', models.CharField(blank=True, max_length=3, null=True, verbose_name='Country')),
('phone_number', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, region=None, verbose_name='Phone Number')),
('email', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Email')),
('primary', models.BooleanField(default=False)),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('address_type', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.AddressType', verbose_name='Address Type')),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('location', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Location', verbose_name='Location')),
],
options={
'verbose_name': 'historical address',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalLocation',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('loc_id', models.CharField(max_length=50, verbose_name='Location ID')),
('name', models.CharField(max_length=150, verbose_name='Primary Name')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('client', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical location',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalHolidayList',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('name', models.CharField(max_length=30, verbose_name='Description')),
('date_from', models.DateField(default=django.utils.timezone.now, verbose_name='Date Start')),
('date_to', models.DateField(default=django.utils.timezone.now, verbose_name='Date End')),
('notes', models.TextField(blank=True, null=True, verbose_name='Notes')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Holiday',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalFeeItem',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('item', models.CharField(max_length=50, verbose_name='Item')),
('description', models.CharField(max_length=255, verbose_name='Description')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('fee_group', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.FeeGroup', verbose_name='Fee Group')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Fee Item',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalFeeGroup',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('name', models.CharField(max_length=100, verbose_name='Name')),
('description', models.CharField(max_length=255, verbose_name='Description')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Fee Group',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalEngagementType',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('service_description', models.CharField(max_length=100, verbose_name='Service')),
('service_abbreviation', models.CharField(max_length=10)),
('created_on', models.DateTimeField(blank=True, editable=False)),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical Engagement Type',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalContact',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('first_name', models.CharField(blank=True, max_length=255, null=True, verbose_name='First Name')),
('last_name', models.CharField(max_length=255, verbose_name='Last Name')),
('email', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Email')),
('title', models.CharField(blank=True, max_length=200, verbose_name='Title')),
('contact_type', models.SmallIntegerField(choices=[(1, 'Person'), (2, 'Business')], default=1, verbose_name='Contact Type')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('client', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('location', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Location', verbose_name='Location')),
('vendor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Vendor', verbose_name='Vendor')),
],
options={
'verbose_name': 'historical contact',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalClientSystem',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('have_access', models.BooleanField(default=True, verbose_name='Access?')),
('created_on', models.DateTimeField(blank=True, editable=False)),
('updated_on', models.DateTimeField(blank=True, editable=False)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('client', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Client', verbose_name='Client')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('system', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.System', verbose_name='System')),
],
options={
'verbose_name': 'historical Client System',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalClient',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('client_code', models.CharField(db_index=True, max_length=10, verbose_name='Client Code')),
('client_name', models.CharField(max_length=100, verbose_name='Client Name')),
('slug', autoslug.fields.AutoSlugField(editable=False, populate_from='client_code')),
('service_start', models.DateField(default=django.utils.timezone.now, verbose_name='Service Start')),
('service_end', models.DateField(blank=True, null=True, verbose_name='Service End')),
('imp_fee_status', models.SmallIntegerField(choices=[(1, 'New'), (2, 'Billed'), (3, 'Partially Paid'), (4, 'Paid')], default=1, verbose_name='Implementation Fee Status')),
('client_status', models.SmallIntegerField(choices=[(1, 'New'), (2, 'Under Implementation'), (3, 'HyperCare Period'), (4, 'Live'), (5, 'Inactive')], default=1, verbose_name='Client Status')),
('production_support_number', phonenumber_field.modelfields.PhoneNumberField(blank=True, max_length=128, null=True, region=None, verbose_name='Production Support Number')),
('approved', models.BooleanField(default=False)),
('upload_address', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Upload Address')),
('iq_support_address', models.EmailField(blank=True, max_length=254, null=True, verbose_name='IQ Support Address')),
('logo', models.TextField(blank=True, max_length=100, null=True, verbose_name='Image')),
('created_on', models.DateTimeField(blank=True, editable=False)),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('engagement', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.EngagementType', verbose_name='Engagement Type')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('parent', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='core.Client', verbose_name='Parent Client')),
],
options={
'verbose_name': 'historical Client',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalBrand',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('name', models.CharField(max_length=75, verbose_name='Brand')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical brand',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalAddressType',
fields=[
('id', models.IntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('address_type', models.CharField(max_length=20, verbose_name='Address Type')),
('usage', models.CharField(choices=[('L', 'Location'), ('V', 'Vendor'), ('C', 'Client')], max_length=1, verbose_name='Gender')),
('fa_string', models.CharField(blank=True, max_length=50, null=True, verbose_name='FA String')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(blank=True, editable=False, verbose_name='Created On')),
('updated_on', models.DateTimeField(blank=True, editable=False, verbose_name='Updated On')),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('created_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical address type',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='FeeItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('item', models.CharField(max_length=50, verbose_name='Item')),
('description', models.CharField(max_length=255, verbose_name='Description')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('fee_group', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.FeeGroup', verbose_name='Fee Group')),
],
options={
'verbose_name': 'Fee Item',
'verbose_name_plural': 'Fee Items',
},
),
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(blank=True, max_length=255, null=True, verbose_name='First Name')),
('last_name', models.CharField(max_length=255, verbose_name='Last Name')),
('email', models.EmailField(blank=True, max_length=254, null=True, verbose_name='Email')),
('title', models.CharField(blank=True, max_length=200, verbose_name='Title')),
('contact_type', models.SmallIntegerField(choices=[(1, 'Person'), (2, 'Business')], default=1, verbose_name='Contact Type')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('client', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='contact_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('location', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='core.Location', verbose_name='Location')),
('vendor', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='core.Vendor', verbose_name='Vendor')),
],
),
migrations.AddField(
model_name='client',
name='engagement',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.EngagementType', verbose_name='Engagement Type'),
),
migrations.AddField(
model_name='client',
name='parent',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, to='core.Client', verbose_name='Parent Client'),
),
migrations.CreateModel(
name='TeamMember',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('valid_from', models.DateField(default=django.utils.timezone.now, verbose_name='Valid From')),
('valid_to', models.DateField(blank=True, null=True, verbose_name='Valid Until')),
('status', models.IntegerField(choices=[(1, 'New'), (2, 'Valid'), (3, 'Inactive')], default=1, verbose_name='Status')),
('created_on', models.DateTimeField(auto_now_add=True, verbose_name='Created On')),
('updated_on', models.DateTimeField(auto_now=True, verbose_name='Updated On')),
('client', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.Client', verbose_name='Client')),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='team_member_created', to=settings.AUTH_USER_MODEL, verbose_name='Created By')),
('role', models.ForeignKey(limit_choices_to={'status': 2}, on_delete=django.db.models.deletion.PROTECT, to='core.StaffRoles', verbose_name='Role')),
('staff', models.ForeignKey(limit_choices_to={'status': 2}, on_delete=django.db.models.deletion.PROTECT, to='core.StaffMember', verbose_name='Staff')),
],
options={
'verbose_name': 'Team Member',
'verbose_name_plural': 'Team Members',
'unique_together': {('staff', 'client', 'status')},
},
),
migrations.CreateModel(
name='ClientSystem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('have_access', models.BooleanField(default=True, verbose_name='Access?')),
('created_on', models.DateTimeField(auto_now_add=True)),
('updated_on', models.DateTimeField(auto_now=True)),
('client', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='client_systems', to='core.Client', verbose_name='Client')),
('system', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.System', verbose_name='System')),
],
options={
'verbose_name': 'Client System',
'unique_together': {('client', 'system')},
},
),
]
| 78.040385
| 232
| 0.618159
| 8,744
| 81,162
| 5.524931
| 0.033737
| 0.104285
| 0.034486
| 0.054192
| 0.936638
| 0.932747
| 0.927696
| 0.920203
| 0.919975
| 0.904761
| 0
| 0.009252
| 0.222272
| 81,162
| 1,039
| 233
| 78.115496
| 0.756091
| 0.000554
| 0
| 0.768411
| 1
| 0
| 0.18311
| 0.01001
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.008721
| 0
| 0.012597
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
dd1ac8233c9f7391515a24851be34f0351de31f6
| 4,947
|
py
|
Python
|
src/postprocess_run.py
|
AminJavari/ROSE
|
8f4eeb52bd1a516278f0bc821fd4cba93ee91c7c
|
[
"Apache-2.0"
] | null | null | null |
src/postprocess_run.py
|
AminJavari/ROSE
|
8f4eeb52bd1a516278f0bc821fd4cba93ee91c7c
|
[
"Apache-2.0"
] | null | null | null |
src/postprocess_run.py
|
AminJavari/ROSE
|
8f4eeb52bd1a516278f0bc821fd4cba93ee91c7c
|
[
"Apache-2.0"
] | null | null | null |
# import settings
# import const
# import sys
# from src import postprocess as post
#
#
# if __name__ == '__main__':
# do_3types = True
# do_3types_weighted = True
# similarity_type = "distance" # distance product
# do_sine = True
# sine_model = "35.p"
# # ----------------- Node2Vec on 3 Types ----------------- #
# if do_3types:
# post.n2v_save_embeddings_to_mat(embed_path=settings.config[const.SLASHDOT_3TYPE_OUTPUT],
# save_path=settings.config[const.SLASHDOT_3TYPE_EMBED])
# # create train dataset from embeddings
# post.generate_dataset_3types(embed_path=settings.config[const.SLASHDOT_3TYPE_EMBED],
# graph_path=settings.config[const.SLASHDOT_3TYPE_TRAIN],
# new2old_path=settings.config[const.SLASHDOT_3TYPE_NEW2OLD],
# old2new_path=settings.config[const.SLASHDOT_3TYPE_OLD2NEW],
# save_path=settings.config[const.SLASHDOT_3TYPE_LINK_TRAIN])
# # create test dataset from embeddings
# post.generate_dataset_3types(embed_path=settings.config[const.SLASHDOT_3TYPE_EMBED],
# graph_path=settings.config[const.SLASHDOT_3TYPE_TEST],
# new2old_path=settings.config[const.SLASHDOT_3TYPE_NEW2OLD],
# old2new_path=settings.config[const.SLASHDOT_3TYPE_OLD2NEW],
# save_path=settings.config[const.SLASHDOT_3TYPE_LINK_TEST])
# print('3types done.')
# # ----------------- Node2Vec on 3 Types Weighted ----------------- #
# if do_3types_weighted:
# post.n2v_save_embeddings_to_mat(embed_path=settings.config[const.SLASHDOT_UNSIGNED_OUTPUT],
# save_path=settings.config[const.SLASHDOT_UNSIGNED_EMBED])
# # create train dataset from embeddings
# post.generate_dataset_attention(embed_path=settings.config[const.SLASHDOT_3TYPE_EMBED],
# unsigned_embed_path=settings.config[const.SLASHDOT_UNSIGNED_EMBED],
# relations_path=settings.config[const.SLASHDOT_3TYPE_TRAIN],
# graph_path=settings.config[const.SLASHDOT_3TYPE_TRAIN],
# new2old_path=settings.config[const.SLASHDOT_3TYPE_NEW2OLD],
# old2new_path=settings.config[const.SLASHDOT_3TYPE_OLD2NEW],
# save_path=settings.config[const.SLASHDOT_UNSIGNED_LINK_TRAIN],
# similarity_type=similarity_type)
# # create test dataset from embeddings
# # whole (test + train) graph can be used for relations
# post.generate_dataset_attention(embed_path=settings.config[const.SLASHDOT_3TYPE_EMBED],
# unsigned_embed_path=settings.config[const.SLASHDOT_UNSIGNED_EMBED],
# relations_path=settings.config[const.SLASHDOT_3TYPE],
# graph_path=settings.config[const.SLASHDOT_3TYPE_TEST],
# new2old_path=settings.config[const.SLASHDOT_3TYPE_NEW2OLD],
# old2new_path=settings.config[const.SLASHDOT_3TYPE_OLD2NEW],
# save_path=settings.config[const.SLASHDOT_UNSIGNED_LINK_TEST],
# similarity_type=similarity_type)
# print('3types weighted done.')
# # ------------------- SINE ------------------- #
# if do_sine:
# post.sine_save_embeddings_to_mat(model_path=settings.config[const.SLASHDOT_EMBED_MODEL] + sine_model,
# save_path=settings.config[const.SLASHDOT_SINE_EMBED])
# print('embeddings converted to matrix, and saved')
# # create train dataset from embeddings
# post.generate_dataset_sine(embed_path=settings.config[const.SLASHDOT_SINE_EMBED],
# graph_path=settings.config[const.SLASHDOT_GRAPH_TRAIN],
# save_path=settings.config[const.SLASHDOT_LINK_TRAIN])
# print('train dataset generated for link prediction')
# # create test dataset from embeddings
# post.generate_dataset_sine(embed_path=settings.config[const.SLASHDOT_SINE_EMBED],
# graph_path=settings.config[const.SLASHDOT_GRAPH_TEST],
# save_path=settings.config[const.SLASHDOT_LINK_TEST])
# print('test dataset generated for link prediction')
# sys.exit(0)
| 70.671429
| 112
| 0.570851
| 469
| 4,947
| 5.680171
| 0.140725
| 0.162162
| 0.243243
| 0.310811
| 0.799925
| 0.751877
| 0.750375
| 0.663664
| 0.652027
| 0.632132
| 0
| 0.016672
| 0.333131
| 4,947
| 69
| 113
| 71.695652
| 0.790846
| 0.955124
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
dd89fa416900ee1f771ac6a7c2a01941231bb932
| 9,172
|
py
|
Python
|
src/third_party/beaengine/tests/0fe6.py
|
CrackerCat/rp
|
5fe693c26d76b514efaedb4084f6e37d820db023
|
[
"MIT"
] | 1
|
2022-01-17T17:40:29.000Z
|
2022-01-17T17:40:29.000Z
|
src/third_party/beaengine/tests/0fe6.py
|
CrackerCat/rp
|
5fe693c26d76b514efaedb4084f6e37d820db023
|
[
"MIT"
] | null | null | null |
src/third_party/beaengine/tests/0fe6.py
|
CrackerCat/rp
|
5fe693c26d76b514efaedb4084f6e37d820db023
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>
#
# @author : beaengine@gmail.com
from headers.BeaEnginePython import *
from nose.tools import *
class TestSuite:
def test(self):
# 66 0F E6 /r
# CVTTPD2DQ xmm1, xmm2/m128
Buffer = bytes.fromhex('660fe620')
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xfe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'cvttpd2dq')
assert_equal(myDisasm.repr(), 'cvttpd2dq xmm4, xmmword ptr [rax]')
# VEX.128.66.0F.WIG E6 /r
# VCVTTPD2DQ xmm1, xmm2/m128
myVEX = VEX('VEX.128.66.0F.WIG')
Buffer = bytes.fromhex('{}e610'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvttpd2dq')
assert_equal(myDisasm.repr(), 'vcvttpd2dq xmm10, xmmword ptr [r8]')
# VEX.256.66.0F.WIG E6 /r
# VCVTTPD2DQ xmm1, ymm2/m256
myVEX = VEX('VEX.256.66.0F.WIG')
Buffer = bytes.fromhex('{}e610'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvttpd2dq')
assert_equal(myDisasm.repr(), 'vcvttpd2dq xmm10, ymmword ptr [r8]')
# EVEX.128.66.0F.W1 E6 /r
# VCVTTPD2DQ xmm1 {k1}{z}, xmm2/m128/m64bcst
myEVEX = EVEX('EVEX.128.66.0F.W1')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvttpd2dq')
assert_equal(myDisasm.repr(), 'vcvttpd2dq xmm26, xmmword ptr [r8]')
# EVEX.256.66.0F.W1 E6 /r
# VCVTTPD2DQ xmm1 {k1}{z}, ymm2/m256/m64bcst
myEVEX = EVEX('EVEX.256.66.0F.W1')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvttpd2dq')
assert_equal(myDisasm.repr(), 'vcvttpd2dq xmm26, ymmword ptr [r8]')
# EVEX.512.66.0F.W1 E6 /r
# VCVTTPD2DQ ymm1 {k1}{z}, zmm2/m512/m64bcst{sae}
myEVEX = EVEX('EVEX.512.66.0F.W1')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvttpd2dq')
assert_equal(myDisasm.repr(), 'vcvttpd2dq ymm26, zmmword ptr [r8]')
# F2 0F E6 /r
# CVTPD2DQ xmm1, xmm2/m128
Buffer = bytes.fromhex('f20fe620')
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xfe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'cvtpd2dq')
assert_equal(myDisasm.repr(), 'cvtpd2dq xmm4, xmmword ptr [rax]')
# VEX.128.F2.0F.WIG E6 /r
# VCVTPD2DQ xmm1, xmm2/m128
myVEX = VEX('VEX.128.F2.0F.WIG')
Buffer = bytes.fromhex('{}e610'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtpd2dq')
assert_equal(myDisasm.repr(), 'vcvtpd2dq xmm10, xmmword ptr [r8]')
# VEX.256.F2.0F.WIG E6 /r
# VCVTPD2DQ xmm1, ymm2/m256
myVEX = VEX('VEX.256.F2.0F.WIG')
Buffer = bytes.fromhex('{}e610'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtpd2dq')
assert_equal(myDisasm.repr(), 'vcvtpd2dq xmm10, ymmword ptr [r8]')
# EVEX.128.F2.0F.W1 E6 /r
# VCVTPD2DQ xmm1 {k1}{z}, xmm2/m128/m64bcst
myEVEX = EVEX('EVEX.128.F2.0F.W1')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtpd2dq')
assert_equal(myDisasm.repr(), 'vcvtpd2dq xmm26, xmmword ptr [r8]')
# EVEX.256.F2.0F.W1 E6 /r
# VCVTPD2DQ xmm1 {k1}{z}, ymm2/m256/m64bcst
myEVEX = EVEX('EVEX.256.F2.0F.W1')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtpd2dq')
assert_equal(myDisasm.repr(), 'vcvtpd2dq xmm26, ymmword ptr [r8]')
# EVEX.512.F2.0F.W1 E6 /r
# VCVTPD2DQ ymm1 {k1}{z}, zmm2/m512/m64bcst{er}
myEVEX = EVEX('EVEX.512.F2.0F.W1')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtpd2dq')
assert_equal(myDisasm.repr(), 'vcvtpd2dq ymm26, zmmword ptr [r8]')
# F3 0F E6 /r
# CVTDQ2PD xmm1, xmm2/m64
Buffer = bytes.fromhex('f30fe620')
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xfe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'cvtdq2pd')
assert_equal(myDisasm.repr(), 'cvtdq2pd xmm4, xmmword ptr [rax]')
# VEX.128.F3.0F.WIG E6 /r
# VCVTDQ2PD xmm1, xmm2/m64
myVEX = VEX('VEX.128.F3.0F.WIG')
Buffer = bytes.fromhex('{}e610'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtdq2pd')
assert_equal(myDisasm.repr(), 'vcvtdq2pd xmm10, qword ptr [r8]')
# VEX.256.F3.0F.WIG E6 /r
# VCVTDQ2PD ymm1, xmm2/m128
myVEX = VEX('VEX.256.F3.0F.WIG')
Buffer = bytes.fromhex('{}e610'.format(myVEX.c4()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtdq2pd')
assert_equal(myDisasm.repr(), 'vcvtdq2pd ymm10, xmmword ptr [r8]')
# EVEX.128.F3.0F.W0 E6 /r
# VCVTDQ2PD xmm1 {k1}{z}, xmm2/m128/m32bcst
myEVEX = EVEX('EVEX.128.F3.0F.W0')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtdq2pd')
assert_equal(myDisasm.repr(), 'vcvtdq2pd xmm26, xmmword ptr [r8]')
# EVEX.256.F3.0F.W0 E6 /r
# VCVTDQ2PD ymm1 {k1}{z}, xmm2/m128/m32bcst
myEVEX = EVEX('EVEX.256.F3.0F.W0')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtdq2pd')
assert_equal(myDisasm.repr(), 'vcvtdq2pd ymm26, xmmword ptr [r8]')
# EVEX.512.F3.0F.W0 E6 /r
# VCVTDQ2PD zmm1 {k1}{z}, ymm2/m256/m32bcst
myEVEX = EVEX('EVEX.512.F3.0F.W0')
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtdq2pd')
assert_equal(myDisasm.repr(), 'vcvtdq2pd zmm26, ymmword ptr [r8]')
myEVEX = EVEX('EVEX.512.F3.0F.W0')
myEVEX.vvvv = 0b1110
Buffer = bytes.fromhex('{}e610'.format(myEVEX.prefix()))
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opcode, 0xe6)
assert_equal(myDisasm.infos.Instruction.Mnemonic, b'vcvtdq2pd')
assert_equal(myDisasm.infos.Reserved_.ERROR_OPCODE, UD_)
| 40.052402
| 75
| 0.639555
| 1,134
| 9,172
| 5.119929
| 0.145503
| 0.107992
| 0.186531
| 0.161213
| 0.834826
| 0.817947
| 0.726318
| 0.688081
| 0.677058
| 0.664313
| 0
| 0.076349
| 0.226014
| 9,172
| 228
| 76
| 40.22807
| 0.741513
| 0.188072
| 0
| 0.674074
| 0
| 0
| 0.156998
| 0
| 0
| 0
| 0.010683
| 0
| 0.422222
| 1
| 0.007407
| false
| 0
| 0.014815
| 0
| 0.02963
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
06c2ec0ad618c8fb6efb119d1e05de33f5a28369
| 6,060
|
py
|
Python
|
python/roboscheduler/tests/test_cadence.py
|
sdss/roboscheduler
|
d06000381e379130e54e704e4f2df09326b4dded
|
[
"BSD-3-Clause"
] | null | null | null |
python/roboscheduler/tests/test_cadence.py
|
sdss/roboscheduler
|
d06000381e379130e54e704e4f2df09326b4dded
|
[
"BSD-3-Clause"
] | 3
|
2021-04-17T01:15:01.000Z
|
2021-07-01T22:05:58.000Z
|
python/roboscheduler/tests/test_cadence.py
|
sdss/roboscheduler
|
d06000381e379130e54e704e4f2df09326b4dded
|
[
"BSD-3-Clause"
] | 1
|
2021-12-07T16:25:23.000Z
|
2021-12-07T16:25:23.000Z
|
# encoding: utf-8
#
# main.py
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from pytest import mark
import os
import roboscheduler.cadence as cadence
class TestCadence(object):
"""Tests CadenceList"""
def test_cadence_epochs(self):
clist = cadence.CadenceList()
clist.reset()
clist.add_cadence(name='one', nexposures=4,
skybrightness=[1., 1., 1., 1.],
delta=[0., 0., 1., 0.],
delta_min=[0., 0., 0.5, 0.],
delta_max=[0., 0., 1.5, 0.],
instrument=['boss'] * 4)
assert clist.cadences['one'].nepochs == 2
assert clist.cadences['one'].epoch_indx[0] == 0
assert clist.cadences['one'].epoch_indx[1] == 2
def test_cadence_single(self):
clist = cadence.CadenceList()
clist.reset()
clist.add_cadence(name='one', nexposures=1,
skybrightness=[1.], delta=[-1.], delta_min=[-1.],
delta_max=[-1.], instrument=['boss'])
clist.add_cadence(name='two', nexposures=1,
skybrightness=[0.35], delta=[-1.], delta_min=[-1.],
delta_max=[-1.], instrument=['boss'])
assert clist.cadence_consistency('one', 'two', return_solutions=False) == True
def test_cadence_single_double(self):
clist = cadence.CadenceList()
clist.reset()
clist.add_cadence(name='one', nexposures=1,
skybrightness=[1.], delta=[-1.], delta_min=[-1.],
delta_max=[-1.], instrument=['boss'])
clist.add_cadence(name='two', nexposures=2,
skybrightness=[0.35, 0.35], delta=[0., 30.],
delta_min=[0., 20.],
delta_max=[0., 40.],
instrument=['boss', 'boss'])
assert clist.cadence_consistency('one', 'two', return_solutions=False) == True
assert clist.cadence_consistency('two', 'one', return_solutions=False) == False
def test_cadence_single_double_skybrightness(self):
clist = cadence.CadenceList()
clist.reset()
clist.add_cadence(name='bright', nexposures=1,
skybrightness=[1.], delta=[-1.], delta_min=[-1.],
delta_max=[-1.], instrument=['boss'])
clist.add_cadence(name='dark', nexposures=1,
skybrightness=[0.35], delta=[-1.], delta_min=[-1.],
delta_max=[-1.], instrument=['boss'])
clist.add_cadence(name='two', nexposures=2,
skybrightness=[1., 1.], delta=[0., 30.],
delta_min=[0., 20.],
delta_max=[0., 40.],
instrument=['boss', 'boss'])
assert clist.cadence_consistency('bright', 'two',
return_solutions=False) == True
assert clist.cadence_consistency('dark', 'two',
return_solutions=False) == False
def test_cadence_double_double(self):
clist = cadence.CadenceList()
clist.reset()
clist.add_cadence(name='one', nexposures=2,
skybrightness=[0.35, 0.35], delta=[0., 30.],
delta_min=[0., 19.],
delta_max=[0., 41.],
instrument=['boss', 'boss'])
clist.add_cadence(name='two', nexposures=2,
skybrightness=[0.35, 0.35], delta=[0., 30.],
delta_min=[0., 20.],
delta_max=[0., 40.],
instrument=['boss', 'boss'])
assert clist.cadence_consistency('one', 'two',
return_solutions=False) is True
assert clist.cadence_consistency('two', 'one',
return_solutions=False) is False
def test_cadence_file(self):
clist = cadence.CadenceList()
clist.reset()
cfile = os.path.join(os.getenv('ROBOSCHEDULER_DIR'),
'data', 'rsc-test-cadence.fits')
clist.fromfits(cfile)
assert clist.ncadences == 12
assert (clist.cadence_consistency('bright_1x1', 'faint_1x1',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_1x1', 'bright_1x1',
return_solutions=False) is False)
assert (clist.cadence_consistency('faint_1x1', 'faint_1x4',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_1x4', 'faint_1x1',
return_solutions=False) is False)
assert (clist.cadence_consistency('faint_1x4', 'faint_1x4',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_1x4', 'faint_1x4',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_2x2', 'faint_month_2x2',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_2x2', 'faint_month_4x2',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_month_2x2', 'faint_month_4x2',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_month_2x2', 'faint_month_4x2',
return_solutions=False) is True)
assert (clist.cadence_consistency('faint_1x4', 'faint_month_4x2',
return_solutions=False) is False)
| 44.558824
| 87
| 0.512871
| 601
| 6,060
| 4.950083
| 0.143095
| 0.096807
| 0.108908
| 0.175462
| 0.808067
| 0.779496
| 0.741513
| 0.711933
| 0.711933
| 0.692437
| 0
| 0.04157
| 0.360891
| 6,060
| 135
| 88
| 44.888889
| 0.726569
| 0.006931
| 0
| 0.53271
| 0
| 0
| 0.071381
| 0.003494
| 0
| 0
| 0
| 0
| 0.205607
| 1
| 0.056075
| false
| 0
| 0.065421
| 0
| 0.130841
| 0.009346
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
06ca7b3558fbe25406f77afb366b625dae8bf205
| 116
|
py
|
Python
|
calculator.py
|
prah23/crud
|
13662d250a8e36e0231e90e1efdb94ae7229c463
|
[
"MIT"
] | null | null | null |
calculator.py
|
prah23/crud
|
13662d250a8e36e0231e90e1efdb94ae7229c463
|
[
"MIT"
] | null | null | null |
calculator.py
|
prah23/crud
|
13662d250a8e36e0231e90e1efdb94ae7229c463
|
[
"MIT"
] | null | null | null |
def add(x,y):
return x+y
def multiply(x,y):
return x*y
def subtract(x,y):
return x-y
print("Hi")
| 14.5
| 19
| 0.560345
| 23
| 116
| 2.826087
| 0.391304
| 0.184615
| 0.369231
| 0.415385
| 0.553846
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0.275862
| 116
| 7
| 20
| 16.571429
| 0.77381
| 0
| 0
| 0
| 0
| 0
| 0.018349
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.428571
| false
| 0
| 0
| 0.428571
| 0.857143
| 0.142857
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
06cbbffabc3c6e7d68094bdc3be648bb6f851411
| 209
|
py
|
Python
|
resample/__init__.py
|
wwu-mmll/resample
|
3c61f5994420931f43571290d410beb05eee8fe6
|
[
"BSD-3-Clause"
] | null | null | null |
resample/__init__.py
|
wwu-mmll/resample
|
3c61f5994420931f43571290d410beb05eee8fe6
|
[
"BSD-3-Clause"
] | null | null | null |
resample/__init__.py
|
wwu-mmll/resample
|
3c61f5994420931f43571290d410beb05eee8fe6
|
[
"BSD-3-Clause"
] | null | null | null |
"""
resample package.
"""
from . import bootstrap # noqa
from . import empirical # noqa
from . import jackknife # noqa
from . import permutation # noqa
from .version import version as __version__ # noqa
| 20.9
| 51
| 0.717703
| 25
| 209
| 5.84
| 0.44
| 0.273973
| 0.287671
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.200957
| 209
| 9
| 52
| 23.222222
| 0.874252
| 0.205742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
6653062157f7a2e2b53e7e223666429dd9e8f0ff
| 3,658
|
py
|
Python
|
tests/api_tests/pytests/test_doc_search.py
|
UKGovernmentBEIS/open-regulation-platform-alpha
|
c1170fc7d9563cbdeda094df87c606ad622bfcf2
|
[
"MIT"
] | null | null | null |
tests/api_tests/pytests/test_doc_search.py
|
UKGovernmentBEIS/open-regulation-platform-alpha
|
c1170fc7d9563cbdeda094df87c606ad622bfcf2
|
[
"MIT"
] | null | null | null |
tests/api_tests/pytests/test_doc_search.py
|
UKGovernmentBEIS/open-regulation-platform-alpha
|
c1170fc7d9563cbdeda094df87c606ad622bfcf2
|
[
"MIT"
] | null | null | null |
#
# Copyright (C) Analytics Engines 2021
# Alastair McKinley (a.mckinley@analyticsengines.com)
#
import requests
def test_doc_search_names(base_url,editor_jwt):
headers = {
'Authorization' : f'Bearer {editor_jwt}'
}
json = {
"filters" : [{
"operator" : "and",
"filter_elements" : [{
"document_metadata_name": "orpml_title",
"websearch_tsquery" : "asbestos"
},
{
"document_metadata_name": "orpml_classification",
"websearch_tsquery" : "asbestos"
}]
}]
}
resp = requests.post(
base_url + 'rpc/document_search',
json=json,
headers=headers
)
resp.raise_for_status()
assert len(resp.json()) == 2
def test_doc_search_cats(base_url,editor_jwt):
headers = {
'Authorization' : f'Bearer {editor_jwt}'
}
json = {
"filters" : [{
"operator" : "and",
"filter_elements" : [{
"document_metadata_category": "title",
"websearch_tsquery" : "asbestos"
},
{
"document_metadata_category": "classification",
"websearch_tsquery" : "asbestos"
}]
}]
}
resp = requests.post(
base_url + 'rpc/document_search',
json=json,
headers=headers
)
resp.raise_for_status()
assert len(resp.json()) == 2
params = {
'select' : "document_id:id,document_type(id,name),related_documents:document_graph!document_id_a(document_id_b,relationship_properties),reverse_related_documents:document_graph!document_id_b(document_id_a,relationship_properties),document_metadata:document_metadata_view(data,category,name,distinct_metadata_id),document_enrichments:enrichment(id,data,extent,enrichment_def(id,name),enrichment_feedback(good,notes,user_id))",
'id' : f'in.({",".join([str(d) for d in resp.json()])})',
'document_metadata_view.category' : 'in.(title,longtitle,enacted,identification,classification,named_entities,html)'
}
resp = requests.get(
base_url + 'document',
params=params,
headers=headers
)
resp.raise_for_status()
assert len(resp.json()) == 2
def test_doc_search_single(base_url,editor_jwt):
headers = {
'Authorization' : f'Bearer {editor_jwt}'
}
json = {
"filters" : [{
"operator" : "and",
"filter_elements" : [{
"document_metadata_category": "title",
"websearch_tsquery" : "asbestos"
}]
}]
}
resp = requests.post(
base_url + 'rpc/document_search',
json=json,
headers=headers
)
resp.raise_for_status()
assert len(resp.json()) == 4
params = {
'select' : "document_id:id,document_type(id,name),related_documents:document_graph!document_id_a(document_id_b,relationship_properties),reverse_related_documents:document_graph!document_id_b(document_id_a,relationship_properties),document_metadata:document_metadata_view(data,category,name,distinct_metadata_id),document_enrichments:enrichment(id,data,extent,enrichment_def(id,name),enrichment_feedback(good,notes,user_id))",
'id' : f'in.({",".join([str(d) for d in resp.json()])})',
'document_metadata_view.category' : 'in.(title,longtitle,enacted,identification,classification,named_entities,html)'
}
resp = requests.get(
base_url + 'document',
params=params,
headers=headers
)
resp.raise_for_status()
assert len(resp.json()) == 4
| 31.808696
| 433
| 0.616184
| 384
| 3,658
| 5.572917
| 0.221354
| 0.082243
| 0.056075
| 0.053738
| 0.932243
| 0.932243
| 0.903738
| 0.903738
| 0.903738
| 0.903738
| 0
| 0.00331
| 0.256698
| 3,658
| 114
| 434
| 32.087719
| 0.783744
| 0.024057
| 0
| 0.741935
| 0
| 0.021505
| 0.482178
| 0.337917
| 0
| 0
| 0
| 0
| 0.053763
| 1
| 0.032258
| false
| 0
| 0.010753
| 0
| 0.043011
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b07f5dfd21fe6b28d846ba3f5ce874ead5abfe3a
| 5,973
|
py
|
Python
|
tests/unit_tests/test_tethys_compute/test_views/test_dask_dashboard.py
|
romer8/tethys
|
d18f1a203da41245b3b283e13068b8c1b5b2f2a7
|
[
"BSD-2-Clause"
] | null | null | null |
tests/unit_tests/test_tethys_compute/test_views/test_dask_dashboard.py
|
romer8/tethys
|
d18f1a203da41245b3b283e13068b8c1b5b2f2a7
|
[
"BSD-2-Clause"
] | null | null | null |
tests/unit_tests/test_tethys_compute/test_views/test_dask_dashboard.py
|
romer8/tethys
|
d18f1a203da41245b3b283e13068b8c1b5b2f2a7
|
[
"BSD-2-Clause"
] | null | null | null |
import unittest
from unittest import mock
from tethys_compute.views.dask_dashboard import dask_dashboard
class TestDaskDashBoard(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_status_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='status')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/status/test_dask_id/', rts_call_args[0][0][2]['status_link'])
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_workers_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='workers')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/workers/test_dask_id/', rts_call_args[0][0][2]['workers_link'])
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_tasks_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='tasks')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/tasks/test_dask_id/', rts_call_args[0][0][2]['tasks_link'])
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_profile_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='profile')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/profile/test_dask_id/', rts_call_args[0][0][2]['profile_link'])
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_graph_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='graph')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/graph/test_dask_id/', rts_call_args[0][0][2]['graph_link'])
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_system_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='system')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/system/test_dask_id/', rts_call_args[0][0][2]['systems_link'])
@mock.patch('tethys_compute.views.dask_dashboard.render')
@mock.patch('tethys_compute.views.dask_dashboard.DaskScheduler')
def test_dask_groups_link(self, mock_dask_scheduler, mock_render):
mock_dask_object = mock.MagicMock()
mock_dask_object.name = 'test_name'
mock_dask_object.dashboard = 'test_dashboard'
mock_dask_scheduler.objects.get.return_value = mock_dask_object
request = mock.MagicMock()
# Execute
dask_dashboard(request, 'test_dask_id', page='groups')
# Check render call
rts_call_args = mock_render.call_args_list
self.assertEqual('tethys_compute/dask_scheduler_dashboard.html', rts_call_args[0][0][1])
self.assertEqual('/admin/dask-dashboard/groups/test_dask_id/', rts_call_args[0][0][2]['groups_link'])
| 44.909774
| 111
| 0.718232
| 783
| 5,973
| 5.108557
| 0.067688
| 0.084
| 0.098
| 0.0825
| 0.92375
| 0.916
| 0.916
| 0.916
| 0.916
| 0.874
| 0
| 0.008492
| 0.17194
| 5,973
| 132
| 112
| 45.25
| 0.800243
| 0.030303
| 0
| 0.706522
| 0
| 0
| 0.277653
| 0.214471
| 0
| 0
| 0
| 0
| 0.152174
| 1
| 0.097826
| false
| 0.021739
| 0.032609
| 0
| 0.141304
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b08a6d294ea9e3a5a63b5cdfc22857367d270533
| 2,769
|
py
|
Python
|
budgetportal/migrations/0063_auto_20200728_1011.py
|
Lunga001/datamanager
|
ebe9ad9db2ee7011855f1249c46d9d1bf6f4c4d1
|
[
"MIT"
] | 3
|
2019-08-31T03:08:22.000Z
|
2020-04-03T13:09:20.000Z
|
budgetportal/migrations/0063_auto_20200728_1011.py
|
Lunga001/datamanager
|
ebe9ad9db2ee7011855f1249c46d9d1bf6f4c4d1
|
[
"MIT"
] | 97
|
2019-04-16T07:54:38.000Z
|
2022-02-10T07:25:48.000Z
|
budgetportal/migrations/0063_auto_20200728_1011.py
|
OpenUpSA/budget-portal
|
879c5875b1d438b9287c38d6730c86be69051ac5
|
[
"MIT"
] | 14
|
2019-04-23T09:48:17.000Z
|
2021-04-13T17:48:40.000Z
|
# Generated by Django 2.2.10 on 2020-07-28 10:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
(
"budgetportal",
"0062_inyearmonitoringresourcelink_performanceresourcelink_procurementresourcelink",
),
]
operations = [
migrations.AddField(
model_name="inyearmonitoringresourcelink",
name="resource_link_order",
field=models.PositiveIntegerField(
db_index=True, default=0, help_text="Links are shown in this order."
),
),
migrations.AddField(
model_name="inyearmonitoringresourcelink",
name="sphere_slug",
field=models.CharField(
choices=[
("all", "all"),
("national", "national"),
("provincial", "provincial"),
],
default="all",
help_text="Only show on pages for this sphere or all spheres.",
max_length=100,
verbose_name="Sphere",
),
),
migrations.AddField(
model_name="performanceresourcelink",
name="resource_link_order",
field=models.PositiveIntegerField(
db_index=True, default=0, help_text="Links are shown in this order."
),
),
migrations.AddField(
model_name="performanceresourcelink",
name="sphere_slug",
field=models.CharField(
choices=[
("all", "all"),
("national", "national"),
("provincial", "provincial"),
],
default="all",
help_text="Only show on pages for this sphere or all spheres.",
max_length=100,
verbose_name="Sphere",
),
),
migrations.AddField(
model_name="procurementresourcelink",
name="resource_link_order",
field=models.PositiveIntegerField(
db_index=True, default=0, help_text="Links are shown in this order."
),
),
migrations.AddField(
model_name="procurementresourcelink",
name="sphere_slug",
field=models.CharField(
choices=[
("all", "all"),
("national", "national"),
("provincial", "provincial"),
],
default="all",
help_text="Only show on pages for this sphere or all spheres.",
max_length=100,
verbose_name="Sphere",
),
),
]
| 33.361446
| 96
| 0.49693
| 218
| 2,769
| 6.16055
| 0.275229
| 0.080417
| 0.102755
| 0.120625
| 0.840655
| 0.840655
| 0.71035
| 0.71035
| 0.71035
| 0.71035
| 0
| 0.0193
| 0.401228
| 2,769
| 82
| 97
| 33.768293
| 0.790712
| 0.016613
| 0
| 0.881579
| 1
| 0
| 0.266079
| 0.08416
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.013158
| 0
| 0.052632
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
b0a0b12d76ad89dd85ae73b759a92cd8538468ca
| 9,230
|
py
|
Python
|
exo_5_as_with.py
|
linetonthat/sqlbigquery
|
52d827705c46cd694b1d19c4940f6ec326fa1409
|
[
"MIT"
] | null | null | null |
exo_5_as_with.py
|
linetonthat/sqlbigquery
|
52d827705c46cd694b1d19c4940f6ec326fa1409
|
[
"MIT"
] | null | null | null |
exo_5_as_with.py
|
linetonthat/sqlbigquery
|
52d827705c46cd694b1d19c4940f6ec326fa1409
|
[
"MIT"
] | null | null | null |
from google.cloud import bigquery
# Create a "Client" object
client = bigquery.Client()
# Construct a reference to the "chicago_taxi_trips" dataset
dataset_ref = client.dataset("chicago_taxi_trips", project="bigquery-public-data")
# API request - fetch the dataset
dataset = client.get_dataset(dataset_ref)
# List all the tables in the "chicago_taxi_trips" dataset
tables = list(client.list_tables(dataset))
# print list of tables
for table in tables:
print(table.table_id)
# Construct a reference to the "taxi_trips" table
table_ref = dataset_ref.table("taxi_trips")
# API request - fetch the table
table = client.get_table(table_ref)
# Preview the first five lines of the "taxi_trips" table
taxi_trips = client.list_rows(table, max_results=5).to_dataframe()
taxi_trips.info()
### --------------------------------------------------------------------------
### RIDES PER YEAR
### --------------------------------------------------------------------------
# Query to select the number of rides per year, sorted by year
rides_per_year_query = """
SELECT EXTRACT(YEAR FROM trip_start_timestamp) AS year,
COUNT(1) AS num_trips
FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips`
GROUP BY year
ORDER BY year
"""
# Set up the query (cancel the query if it would use too much of
# your quota, with the limit set to 10 GB)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)
rides_per_year_query_job = client.query(rides_per_year_query, job_config=safe_config)
# API request - run the query, and convert the results to a pandas DataFrame
rides_per_year_result = rides_per_year_query_job.to_dataframe()
### --------------------------------------------------------------------------
### RIDES PER MONTH
### --------------------------------------------------------------------------
# Query to select the number of rides per month in 2017
rides_per_month_query = """
SELECT EXTRACT(MONTH FROM trip_start_timestamp) AS month,
COUNT(1) AS num_trips
FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips`
WHERE EXTRACT(YEAR FROM trip_start_timestamp) = 2017
GROUP BY month
ORDER BY month
"""
# Set up the query (cancel the query if it would use too much of
# your quota, with the limit set to 10 GB)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)
rides_per_month_query_job = client.query(rides_per_month_query, job_config=safe_config)
# API request - run the query, and convert the results to a pandas DataFrame
rides_per_month_result = rides_per_month_query_job.to_dataframe()
### --------------------------------------------------------------------------
### SPEED
### --------------------------------------------------------------------------
# Query to assess the average speed per hour of day in H1 of 2017
speeds_query = """
WITH RelevantRides AS
(
SELECT trip_start_timestamp,
trip_miles,
trip_seconds
FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips`
WHERE EXTRACT(YEAR FROM trip_start_timestamp) = 2017
AND EXTRACT(MONTH FROM trip_start_timestamp) >=1
AND EXTRACT(MONTH FROM trip_start_timestamp) <= 6
AND trip_seconds > 0
AND trip_miles > 0
)
SELECT EXTRACT(HOUR FROM trip_start_timestamp) AS hour_of_day,
3600 * SUM(trip_miles) / SUM(trip_seconds) AS avg_mph,
COUNT(1) AS num_trips
FROM RelevantRides
GROUP BY hour_of_day
ORDER BY hour_of_day
"""
# Set up the query (cancel the query if it would use too much of
# your quota, with the limit set to 10 GB)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)
speeds_query_job = client.query(speeds_query, job_config=safe_config)
# API request - run the query, and convert the results to a pandas DataFrame
speeds_result = speeds_query_job.to_dataframe()
### --------------------------------------------------------------------------
### SPEED - ANSWER
### --------------------------------------------------------------------------
speeds_query = """
WITH RelevantRides AS
(
SELECT EXTRACT(HOUR FROM trip_start_timestamp) AS hour_of_day,
trip_miles,
trip_seconds
FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips`
WHERE trip_start_timestamp > '2017-01-01' AND
trip_start_timestamp < '2017-07-01' AND
trip_seconds > 0 AND
trip_miles > 0
)
SELECT hour_of_day,
COUNT(1) AS num_trips,
3600 * SUM(trip_miles) / SUM(trip_seconds) AS avg_mph
FROM RelevantRides
GROUP BY hour_of_day
ORDER BY hour_of_day
"""
# Set up the query (cancel the query if it would use too much of
# your quota, with the limit set to 1 GB)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)
speeds_query_job = client.query(speeds_query, job_config=safe_config)
# API request - run the query, and return a pandas DataFrame
speeds_result = speeds_query_job.to_dataframe()
# View results
print(speeds_result)
### --------------------------------------------------------------------------
### SPEED
### --------------------------------------------------------------------------
# Query to assess the max trip miles and min trip duration per hour of day in H1 of 2017
speeds_investigation_query = """
WITH RelevantRides AS
(
SELECT trip_start_timestamp,
trip_miles,
trip_seconds
FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips`
WHERE EXTRACT(YEAR FROM trip_start_timestamp) = 2017
AND EXTRACT(MONTH FROM trip_start_timestamp) >=1
AND EXTRACT(MONTH FROM trip_start_timestamp) <= 6
AND trip_seconds > 0
AND trip_miles > 0
)
SELECT EXTRACT(HOUR FROM trip_start_timestamp) AS hour_of_day,
MAX(trip_miles) AS max_trip_miles,
MIN(trip_seconds) AS min_trip_seconds,
COUNT(1) AS num_trips
FROM RelevantRides
GROUP BY hour_of_day
ORDER BY hour_of_day
"""
# Set up the query (cancel the query if it would use too much of
# your quota, with the limit set to 10 GB)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)
speeds_investigation_query_job = client.query(speeds_investigation_query, job_config=safe_config)
# API request - run the query, and return a pandas DataFrame
speeds_investigation_result = speeds_investigation_query_job.to_dataframe()
### --------------------------------------------------------------------------
# Query to assess the average trip miles and average trip duration per hour of day in H1 of 2017
speeds_investigation_query = """
WITH RelevantRides AS
(
SELECT trip_start_timestamp,
trip_miles,
trip_seconds
FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips`
WHERE EXTRACT(YEAR FROM trip_start_timestamp) = 2017
AND EXTRACT(MONTH FROM trip_start_timestamp) >=1
AND EXTRACT(MONTH FROM trip_start_timestamp) <= 6
AND trip_seconds > 0
AND trip_miles > 0
)
SELECT EXTRACT(HOUR FROM trip_start_timestamp) AS hour_of_day,
AVG(trip_miles) AS avg_trip_miles,
AVG(trip_seconds) AS avg_trip_seconds,
COUNT(1) AS num_trips
FROM RelevantRides
GROUP BY hour_of_day
ORDER BY hour_of_day
"""
# Set up the query (cancel the query if it would use too much of
# your quota, with the limit set to 10 GB)
safe_config = bigquery.QueryJobConfig(maximum_bytes_billed=10**10)
speeds_investigation_query_job = client.query(speeds_investigation_query, job_config=safe_config)
# API request - run the query, and return a pandas DataFrame
speeds_investigation_result = speeds_investigation_query_job.to_dataframe()
| 43.537736
| 97
| 0.54572
| 1,046
| 9,230
| 4.568834
| 0.110899
| 0.039548
| 0.079096
| 0.073656
| 0.809584
| 0.754342
| 0.722745
| 0.722745
| 0.709353
| 0.69638
| 0
| 0.01815
| 0.313543
| 9,230
| 211
| 98
| 43.744076
| 0.736111
| 0.28299
| 0
| 0.650794
| 0
| 0
| 0.693131
| 0.108765
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.007937
| 0
| 0.007937
| 0.015873
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 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
| 0
|
0
| 7
|
b0eaceccf3654f49e155f6c0a6176702c4e24ed2
| 303
|
py
|
Python
|
lab_04/__init__.py
|
vanSultan/anal_dev_algo
|
e9d6382103080e6f885b1456cc0a3ce64fbe1863
|
[
"MIT"
] | null | null | null |
lab_04/__init__.py
|
vanSultan/anal_dev_algo
|
e9d6382103080e6f885b1456cc0a3ce64fbe1863
|
[
"MIT"
] | null | null | null |
lab_04/__init__.py
|
vanSultan/anal_dev_algo
|
e9d6382103080e6f885b1456cc0a3ce64fbe1863
|
[
"MIT"
] | null | null | null |
from scipy.optimize import minimize, least_squares, dual_annealing, differential_evolution
from .funcs import get_signal, f_least_squares, rational_approx
__all__ = [
"minimize", "least_squares", "dual_annealing", "differential_evolution",
"get_signal", "f_least_squares", "rational_approx"
]
| 33.666667
| 90
| 0.788779
| 36
| 303
| 6.138889
| 0.5
| 0.217195
| 0.180995
| 0.217195
| 0.81448
| 0.81448
| 0.81448
| 0
| 0
| 0
| 0
| 0
| 0.112211
| 303
| 8
| 91
| 37.875
| 0.821561
| 0
| 0
| 0
| 0
| 0
| 0.320132
| 0.072607
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 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
| 8
|
c6b0c2f961733f4f89643fe7e4427d3db4945ef6
| 5,990
|
py
|
Python
|
test/test_exec/test_branch_call_return.py
|
iafisher/hera-py
|
773729870cd593f0dc55ac6fe8b9c8690faa73c1
|
[
"MIT"
] | 2
|
2020-10-27T19:16:45.000Z
|
2020-10-27T19:26:44.000Z
|
test/test_exec/test_branch_call_return.py
|
iafisher/hera-py
|
773729870cd593f0dc55ac6fe8b9c8690faa73c1
|
[
"MIT"
] | 141
|
2018-11-20T16:55:06.000Z
|
2021-03-29T01:07:59.000Z
|
test/test_exec/test_branch_call_return.py
|
iafisher/hera-py
|
773729870cd593f0dc55ac6fe8b9c8690faa73c1
|
[
"MIT"
] | 1
|
2019-02-27T22:02:33.000Z
|
2019-02-27T22:02:33.000Z
|
import pytest
from .utils import helper
from hera.data import Token
from hera.op import name_to_class
from hera.vm import VirtualMachine
@pytest.fixture
def vm():
return VirtualMachine()
def branch_helper(vm, branchname):
op = name_to_class[branchname](Token.Sym("l"))
return op.should(vm)
def test_exec_branch_with_register_branch(vm):
vm.registers[7] = 42
vm.flag_zero = True
helper(vm, "BZ(R7)")
assert vm.pc == 42
assert vm.flag_zero
def test_exec_branch_with_relative_branch(vm):
vm.pc = 20
vm.flag_carry = False
helper(vm, "BNCR(22)")
assert vm.pc == 42
assert not vm.flag_carry
def test_should_BL_on_sign(vm):
vm.flag_sign = True
assert branch_helper(vm, "BL")
def test_should_BL_on_overflow(vm):
vm.flag_overflow = True
assert branch_helper(vm, "BL")
def test_should_not_BL_on_sign_and_overflow(vm):
vm.flag_sign = True
vm.flag_overflow = True
assert not branch_helper(vm, "BL")
def test_should_not_BL_on_neither_sign_nor_overflow(vm):
vm.flag_sign = False
vm.flag_overflow = False
assert not branch_helper(vm, "BL")
def test_should_BGE_on_no_flags(vm):
assert branch_helper(vm, "BGE")
def test_should_BGE_on_sign_and_overflow(vm):
vm.flag_overflow = True
vm.flag_sign = True
assert branch_helper(vm, "BGE")
def test_should_not_BGE_on_sign(vm):
vm.flag_sign = True
assert not branch_helper(vm, "BGE")
def test_should_not_BGE_on_overflow(vm):
vm.flag_overflow = True
assert not branch_helper(vm, "BGE")
def test_should_BGE_on_zero(vm):
vm.flag_zero = True
assert branch_helper(vm, "BGE")
def test_should_BLE_on_sign(vm):
vm.flag_sign = True
assert branch_helper(vm, "BLE")
def test_should_BLE_on_overflow(vm):
vm.flag_overflow = True
assert branch_helper(vm, "BLE")
def test_should_BLE_on_zero(vm):
vm.flag_zero = True
assert branch_helper(vm, "BLE")
def test_should_BLE_on_overflow_and_zero(vm):
vm.flag_overflow = True
vm.flag_zero = True
assert branch_helper(vm, "BLE")
def test_should_not_BLE_on_no_flags(vm):
assert not branch_helper(vm, "BLE")
def test_should_not_BLE_on_sign_and_overflow(vm):
vm.flag_sign = True
vm.flag_overflow = True
assert not branch_helper(vm, "BLE")
def test_should_BG_on_no_flags(vm):
assert branch_helper(vm, "BG")
def test_should_BG_on_sign_and_overflow(vm):
vm.flag_overflow = True
vm.flag_sign = True
assert branch_helper(vm, "BG")
def test_should_not_BG_on_sign(vm):
vm.flag_sign = True
assert not branch_helper(vm, "BG")
def test_should_not_BG_on_overflow(vm):
vm.flag_overflow = True
assert not branch_helper(vm, "BG")
def test_should_not_BG_on_zero(vm):
vm.flag_zero = True
assert not branch_helper(vm, "BG")
def test_should_BULE_on_not_carry(vm):
vm.flag_carry = False
assert branch_helper(vm, "BULE")
def test_should_not_BULE_on_overflow(vm):
vm.flag_carry = True
vm.flag_overflow = True
assert not branch_helper(vm, "BULE")
def test_should_BULE_on_zero(vm):
vm.flag_carry = True
vm.flag_zero = True
assert branch_helper(vm, "BULE")
def test_should_not_BULE_on_sign_and_carry(vm):
vm.flag_carry = True
vm.flag_sign = True
assert not branch_helper(vm, "BULE")
def test_should_BUG_on_carry_and_not_zero(vm):
vm.flag_carry = True
vm.flag_zero = False
assert branch_helper(vm, "BUG")
def test_should_not_BUG_on_carry_and_zero(vm):
vm.flag_carry = True
vm.flag_zero = True
assert not branch_helper(vm, "BUG")
def test_should_not_BUG_on_not_carry_and_not_zero(vm):
vm.flag_carry = False
vm.flag_zero = False
assert not branch_helper(vm, "BUG")
def test_should_not_BUG_on_sign(vm):
vm.flag_sign = True
assert not branch_helper(vm, "BUG")
def test_should_BZ_on_zero(vm):
vm.flag_zero = True
assert branch_helper(vm, "BZ")
def test_should_not_BZ_on_not_zero(vm):
vm.flag_zero = False
assert not branch_helper(vm, "BZ")
def test_should_BC_on_carry(vm):
vm.flag_carry = True
assert branch_helper(vm, "BC")
def test_should_not_BC_on_not_carry(vm):
vm.flag_carry = False
assert not branch_helper(vm, "BC")
def test_should_BS_on_sign(vm):
vm.flag_sign = True
assert branch_helper(vm, "BS")
def test_should_not_BS_on_not_sign(vm):
vm.flag_sign = False
assert not branch_helper(vm, "BS")
def test_should_BV_on_overflow(vm):
vm.flag_overflow = True
assert branch_helper(vm, "BV")
def test_should_not_BV_on_not_overflow(vm):
vm.flag_overflow = False
assert not branch_helper(vm, "BV")
def test_CALL_changes_pc(vm):
vm.pc = 100
vm.registers[13] = 40
helper(vm, "CALL(R12, R13)")
assert vm.pc == 40
def test_CALL_updates_second_register(vm):
vm.pc = 100
vm.registers[13] = 40
helper(vm, "CALL(R12, R13)")
assert vm.registers[13] == 101
def test_CALL_updates_frame_pointer(vm):
vm.registers[12] = 600
vm.registers[13] = 40
helper(vm, "CALL(R12, R13)")
assert vm.registers[14] == 600
def test_CALL_updates_first_register(vm):
vm.registers[14] = 550
vm.registers[12] = 600
vm.registers[13] = 40
helper(vm, "CALL(R12, R13)")
assert vm.registers[12] == 550
def test_RETURN_changes_pc(vm):
vm.pc = 100
vm.registers[13] = 40
helper(vm, "RETURN(R12, R13)")
assert vm.pc == 40
def test_RETURN_updates_second_register(vm):
vm.pc = 100
vm.registers[13] = 40
helper(vm, "RETURN(R12, R13)")
assert vm.registers[13] == 101
def test_RETURN_updates_frame_pointer(vm):
vm.registers[12] = 600
vm.registers[13] = 40
helper(vm, "RETURN(R12, R13)")
assert vm.registers[14] == 600
def test_RETURN_updates_first_register(vm):
vm.registers[14] = 550
vm.registers[12] = 600
vm.registers[13] = 40
helper(vm, "RETURN(R12, R13)")
assert vm.registers[12] == 550
| 19.966667
| 56
| 0.70217
| 982
| 5,990
| 3.953157
| 0.078411
| 0.075734
| 0.133436
| 0.092736
| 0.874549
| 0.816847
| 0.800876
| 0.752447
| 0.718959
| 0.613601
| 0
| 0.031418
| 0.192321
| 5,990
| 299
| 57
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0
| 7
|
c6e583b3a3fff03872302a67250a84fc9f989398
| 42,336
|
py
|
Python
|
SprityBird/spritybird/python3.5/lib/python3.5/site-packages/healpy/visufunc.py
|
MobileAnalytics/iPython-Framework
|
da0e598308c067cd5c5290a6364b3ffaf2d2418f
|
[
"MIT"
] | 4
|
2018-07-04T17:20:12.000Z
|
2019-07-14T18:07:25.000Z
|
SprityBird/spritybird/python3.5/lib/python3.5/site-packages/healpy/visufunc.py
|
MobileAnalytics/iPython-Framework
|
da0e598308c067cd5c5290a6364b3ffaf2d2418f
|
[
"MIT"
] | null | null | null |
SprityBird/spritybird/python3.5/lib/python3.5/site-packages/healpy/visufunc.py
|
MobileAnalytics/iPython-Framework
|
da0e598308c067cd5c5290a6364b3ffaf2d2418f
|
[
"MIT"
] | 1
|
2018-09-03T03:02:06.000Z
|
2018-09-03T03:02:06.000Z
|
#
# This file is part of Healpy.
#
# Healpy is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# Healpy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Healpy; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
#
# For more information about Healpy, see http://code.google.com/p/healpy
#
"""
=====================================================
visufunc.py : Healpix visualization functions
=====================================================
This module provides functions to display Healpix map.
Map projections
---------------
- :func:`mollview` displays a map using Mollweide projection (full sky)
- :func:`gnomview` displays a map using Gnomonic projection (local map)
- :func:`cartview` displays a map using Cartesian projection
- :func:`orthview` displays a map using Orthographic projection (full or half sky)
- :func:`azeqview` displays a map using Azimuthal equidistant projection
Graticules
----------
- :func:`graticule` adds a graticule to the current map
- :func:`delgraticules` deletes all graticules of a map
Tracing lines or points
-----------------------
- :func:`projplot` plots data points on the current map
- :func:`projscatter` displays scatter points
- :func:`projtext` display a text on the current map
"""
__all__ = ['mollview', 'gnomview', 'cartview', 'orthview', 'azeqview',
'graticule', 'delgraticules',
'projplot', 'projscatter', 'projtext']
from . import projaxes as PA
import numpy as np
import matplotlib
from . import pixelfunc
pi = np.pi
dtor = pi/180.
def mollview(map=None,fig=None,rot=None,coord=None,unit='',
xsize=800,title='Mollweide view',nest=False,
min=None,max=None,flip='astro',
remove_dip=False,remove_mono=False,
gal_cut=0,
format='%g',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Mollweide projection.
Parameters
----------
map : float, array-like or None
An array containing the map, supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
title : str, optional
The title of the plot. Default: 'Mollweide view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
format2 : str, optional
Format of the pixel value under mouse. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by a MollweideAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
gnomview, cartview, orthview, azeqview
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub//100, (sub%100)//10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax=PA.HpxMollweideAxes(f,extent,coord=coord,rot=rot,
format=format2,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
nest=nest,copy=True,
verbose=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
copy=True,verbose=True)
img = ax.projmap(map,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
im = ax.get_images()[0]
b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def gnomview(map=None,fig=None,rot=None,coord=None,unit='',
xsize=200,ysize=None,reso=1.5,
title='Gnomonic view',nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Gnomonic projection.
Parameters
----------
map : array-like
The map to project, supports masked maps, see the `ma` function.
If None, use a blank map, useful for
overplotting.
fig : None or int, optional
A figure number. Default: None= create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 200
ysize : None or int, optional
The size of the image. Default: None= xsize
reso : float, optional
Resolution (in arcmin). Default: 1.5 arcmin
title : str, optional
The title of the plot. Default: 'Gnomonic view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, scalar, optional
The minimum range value
max : float, scalar, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
hold : bool, optional
If True, replace the current Axes by a MollweideAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
notext: bool, optional
If True: do not add resolution info text. Default=False
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, cartview, orthview, azeqview
"""
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(5.8,6.4))
if not margins:
margins = (0.075,0.05,0.075,0.05)
extent = (0.0,0.0,1.0,1.0)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(pylab.gca().get_position()).ravel()
if not margins:
margins = (0.0,0.0,0.0,0.0)
extent = (left,bottom,right-left,top-bottom)
f.delaxes(pylab.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub//100, (sub%100)//10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#f=pylab.figure(fig,figsize=(5.5,6))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax=PA.HpxGnomonicAxes(f,extent,coord=coord,rot=rot,
format=format,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,nest=nest,copy=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
img = ax.projmap(map,nest=nest,coord=coord,vmin=min,vmax=max,
xsize=xsize,ysize=ysize,reso=reso,cmap=cmap,norm=norm)
if cbar:
im = ax.get_images()[0]
b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
else:
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(-0.07,0.02,
"%g '/pix, %dx%d pix"%(ax.proj.arrayinfo['reso'],
ax.proj.arrayinfo['xsize'],
ax.proj.arrayinfo['ysize']),
fontsize=12,verticalalignment='bottom',
transform=ax.transAxes,rotation=90)
ax.text(-0.07,0.6,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',rotation=90,transform=ax.transAxes)
lon,lat = np.around(ax.proj.get_center(lonlat=True),ax._coordprec)
ax.text(0.5,-0.03,'(%g,%g)'%(lon,lat),
verticalalignment='center', horizontalalignment='center',
transform=ax.transAxes)
if cbar:
cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
transform=cb.ax.transAxes,ha='left',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def cartview(map=None,fig=None,rot=None,zat=None,coord=None,unit='',
xsize=800,ysize=None,lonra=None,latra=None,
title='Cartesian view',nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,aspect=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Cartesian projection.
Parameters
----------
map : float, array-like or None
An array containing the map,
supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
lonra : sequence, optional
Range in longitude. Default: [-180,180]
latra : sequence, optional
Range in latitude. Default: [-90,90]
title : str, optional
The title of the plot. Default: 'Mollweide view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}, optional
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by a CartesianAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, gnomview, orthview, azeqview
"""
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
if not margins:
margins = (0.075,0.05,0.075,0.05)
extent = (0.0,0.0,1.0,1.0)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(pylab.gca().get_position()).ravel()
if not margins:
margins = (0.0,0.0,0.0,0.0)
extent = (left,bottom,right-left,top-bottom)
f.delaxes(pylab.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub//100, (sub%100)//10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#f=pylab.figure(fig,figsize=(5.5,6))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
if zat and rot:
raise ValueError('Only give rot or zat, not both')
if zat:
rot = np.array(zat,dtype=np.float64)
rot.resize(3)
rot[1] -= 90
ax=PA.HpxCartesianAxes(f,extent,coord=coord,rot=rot,
format=format,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,nest=nest,copy=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
img = ax.projmap(map,nest=nest,coord=coord,vmin=min,vmax=max,
xsize=xsize,ysize=ysize,lonra=lonra,latra=latra,
cmap=cmap,norm=norm,aspect=aspect)
if cbar:
im = ax.get_images()[0]
b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
else:
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(-0.07,0.6,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',rotation=90,transform=ax.transAxes)
if cbar:
cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
transform=cb.ax.transAxes,ha='left',va='center')
f.sca(ax)
finally:
if wasinteractive:
pylab.ion()
pylab.draw()
#pylab.show()
if return_projected_map:
return img
def orthview(map=None,fig=None,rot=None,coord=None,unit='',
xsize=800,half_sky=False,
title='Orthographic view',nest=False,
min=None,max=None,flip='astro',
remove_dip=False,remove_mono=False,
gal_cut=0,
format='%g',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Orthographic projection.
Parameters
----------
map : float, array-like or None
An array containing the map.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
half_sky : bool, optional
Plot only one side of the sphere. Default: False
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
title : str, optional
The title of the plot. Default: 'Orthographic view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
format2 : str, optional
Format of the pixel value under mouse. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by an OrthographicAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, gnomview, cartview, azeqview
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub//100, (sub%100)//10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
ax=PA.HpxOrthographicAxes(f,extent,coord=coord,rot=rot,
format=format2,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
nest=nest,copy=True,
verbose=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
copy=True,verbose=True)
img = ax.projmap(map,nest=nest,xsize=xsize,half_sky=half_sky,
coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
im = ax.get_images()[0]
b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def azeqview(map=None,fig=None,rot=None,zat=None,coord=None,unit='',
xsize=800,ysize=None,reso=1.5,lamb=False,half_sky=False,
title=None,nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,aspect=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot a healpix map (given as an array) in Azimuthal equidistant projection
or Lambert azimuthal equal-area projection.
Parameters
----------
map : float, array-like or None
An array containing the map,
supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
ysize : None or int, optional
The size of the image. Default: None= xsize
reso : float, optional
Resolution (in arcmin). Default: 1.5 arcmin
lamb : bool, optional
If True, plot Lambert azimuthal equal area instead of azimuthal
equidistant. Default: False (az equidistant)
half_sky : bool, optional
Plot only one side of the sphere. Default: False
title : str, optional
The title of the plot. Default: 'Azimuthal equidistant view'
or 'Lambert azimuthal equal-area view' (if lamb is True)
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by an Equidistant AzimuthalAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, gnomview, cartview, orthview
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub//100, (sub%100)//10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
ax=PA.HpxAzimuthalAxes(f,extent,coord=coord,rot=rot,
format=format,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
nest=nest,copy=True,
verbose=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
copy=True,verbose=True)
img = ax.projmap(map,nest=nest,xsize=xsize,ysize=ysize,reso=reso,lamb=lamb,
half_sky=half_sky,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
im = ax.get_images()[0]
b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
if title is None:
if lamb:
title = 'Lambert azimuthal equal-area view'
else:
title = 'Azimuthal equidistant view'
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def graticule(dpar=None,dmer=None,coord=None,local=None,**kwds):
"""Draw a graticule on the current Axes.
Parameters
----------
dpar, dmer : float, scalars
Interval in degrees between meridians and between parallels
coord : {'E', 'G', 'C'}
The coordinate system of the graticule (make rotation if needed,
using coordinate system of the map if it is defined).
local : bool
If True, draw a local graticule (no rotation is performed, useful for
a gnomonic view, for example)
Notes
-----
Other keyword parameters will be transmitted to the projplot function.
See Also
--------
delgraticules
"""
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if len(f.get_axes()) == 0:
ax=PA.HpxMollweideAxes(f,(0.02,0.05,0.96,0.9),coord=coord)
f.add_axes(ax)
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ax.graticule(dpar=dpar,dmer=dmer,coord=coord,
local=local,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
def delgraticules():
"""Delete all graticules previously created on the Axes.
See Also
--------
graticule
"""
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ax.delgraticules()
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
def projplot(*args,**kwds):
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
ret = None
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ret = ax.projplot(*args,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
return ret
projplot.__doc__ = PA.SphericalProjAxes.projplot.__doc__
def projscatter(*args,**kwds):
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
ret=None
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ret = ax.projscatter(*args,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
return ret
projscatter.__doc__ = PA.SphericalProjAxes.projscatter.__doc__
def projtext(*args,**kwds):
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
ret = None
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ret = ax.projtext(*args,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
return ret
projtext.__doc__ = PA.SphericalProjAxes.projtext.__doc__
| 40.668588
| 101
| 0.574901
| 5,522
| 42,336
| 4.366715
| 0.08276
| 0.009538
| 0.003857
| 0.003649
| 0.860407
| 0.850661
| 0.847219
| 0.843197
| 0.840916
| 0.832207
| 0
| 0.025078
| 0.314319
| 42,336
| 1,040
| 102
| 40.707692
| 0.805574
| 0.411305
| 0
| 0.866426
| 0
| 0
| 0.032313
| 0
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| 0
| 0
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| 0
| 1
| 0.018051
| false
| 0
| 0.025271
| 0
| 0.057762
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 7
|
05cc28cbcba265864effbfb111aed180c0e55c1c
| 689,830
|
py
|
Python
|
music.py
|
PLAYFULBOY/dengnituodan
|
5674f196d0fc8b0fcb8f07bad8ff5fd44a089dfb
|
[
"MIT"
] | null | null | null |
music.py
|
PLAYFULBOY/dengnituodan
|
5674f196d0fc8b0fcb8f07bad8ff5fd44a089dfb
|
[
"MIT"
] | null | null | null |
music.py
|
PLAYFULBOY/dengnituodan
|
5674f196d0fc8b0fcb8f07bad8ff5fd44a089dfb
|
[
"MIT"
] | null | null | null |
import random
######################################################################################################
#Alan Walker
alan_walker = [
["All Falls Down","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515453363.mp3","http://music.163.com/song/media/outer/url?id=515453363.mp3"],
["Move Your Body (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=436487129.mp3","http://music.163.com/song/media/outer/url?id=436487129.mp3"],
["Faded","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36990266.mp3","http://music.163.com/song/media/outer/url?id=36990266.mp3"],
["The Spectre","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=506092035.mp3","http://music.163.com/song/media/outer/url?id=506092035.mp3"],
["Hymn For The Weekend [Remix]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419594258.mp3","http://music.163.com/song/media/outer/url?id=419594258.mp3"],
["Fade","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29947420.mp3","http://music.163.com/song/media/outer/url?id=29947420.mp3"],
["Alone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444269135.mp3","http://music.163.com/song/media/outer/url?id=444269135.mp3"],
["Darkside","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296410418.mp3","http://music.163.com/song/media/outer/url?id=1296410418.mp3"],
["Sing Me to Sleep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=415792222.mp3","http://music.163.com/song/media/outer/url?id=415792222.mp3"],
["Spectre","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30064263.mp3","http://music.163.com/song/media/outer/url?id=30064263.mp3"],
["Different World","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1328047738.mp3","http://music.163.com/song/media/outer/url?id=1328047738.mp3"],
["Legends Never Die (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=517411583.mp3","http://music.163.com/song/media/outer/url?id=517411583.mp3"],
["Tired","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=479219347.mp3","http://music.163.com/song/media/outer/url?id=479219347.mp3"],
["Routine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447916006.mp3","http://music.163.com/song/media/outer/url?id=447916006.mp3"],
["Ignite (Instrumental)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=470547656.mp3","http://music.163.com/song/media/outer/url?id=470547656.mp3"],
["Stranger Things (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536243886.mp3","http://music.163.com/song/media/outer/url?id=536243886.mp3"],
["Lily","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333159921.mp3","http://music.163.com/song/media/outer/url?id=1333159921.mp3"],
["Diamond Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1311782175.mp3","http://music.163.com/song/media/outer/url?id=1311782175.mp3"],
["Are You Lonely","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1347437958.mp3","http://music.163.com/song/media/outer/url?id=1347437958.mp3"],
["Force","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31311107.mp3","http://music.163.com/song/media/outer/url?id=31311107.mp3"],
["Strongest (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=521657045.mp3","http://music.163.com/song/media/outer/url?id=521657045.mp3"],
["Alan Walker - Faded Alone（Albim Mashup ）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528285558.mp3","http://music.163.com/song/media/outer/url?id=528285558.mp3"],
["Lost Control","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333160781.mp3","http://music.163.com/song/media/outer/url?id=1333160781.mp3"],
["Again (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=524270871.mp3","http://music.163.com/song/media/outer/url?id=524270871.mp3"],
["After the Afterparty (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455311429.mp3","http://music.163.com/song/media/outer/url?id=455311429.mp3"],
["Sky","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482988841.mp3","http://music.163.com/song/media/outer/url?id=482988841.mp3"],
["I Don't Wanna Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333159920.mp3","http://music.163.com/song/media/outer/url?id=1333159920.mp3"],
["Do It All for You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333159922.mp3","http://music.163.com/song/media/outer/url?id=1333159922.mp3"],
["Lonely Together (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=519338124.mp3","http://music.163.com/song/media/outer/url?id=519338124.mp3"],
["Issues (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475254859.mp3","http://music.163.com/song/media/outer/url?id=475254859.mp3"],
["Lonely","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333160782.mp3","http://music.163.com/song/media/outer/url?id=1333160782.mp3"],
["Back to Beautiful (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456370244.mp3","http://music.163.com/song/media/outer/url?id=456370244.mp3"],
["Millionaire (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428350863.mp3","http://music.163.com/song/media/outer/url?id=428350863.mp3"],
["Intro","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333159919.mp3","http://music.163.com/song/media/outer/url?id=1333159919.mp3"],
["Interlude","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333159923.mp3","http://music.163.com/song/media/outer/url?id=1333159923.mp3"],
["Alan Walker - fade（Blazars Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528788463.mp3","http://music.163.com/song/media/outer/url?id=528788463.mp3"],
["Malibu (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=487375362.mp3","http://music.163.com/song/media/outer/url?id=487375362.mp3"],
["Calma (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372861347.mp3","http://music.163.com/song/media/outer/url?id=1372861347.mp3"],
["Alan Walker-Faded (FN007 Remix)（FN007/Alan Walker Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516030907.mp3","http://music.163.com/song/media/outer/url?id=516030907.mp3"],
["On My Way-On My Way（风夏铃 / Alan Walker remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1362645746.mp3","http://music.163.com/song/media/outer/url?id=1362645746.mp3"],
["All Falls Down（Lucian Dai Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=530084076.mp3","http://music.163.com/song/media/outer/url?id=530084076.mp3"],
["Energy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31152432.mp3","http://music.163.com/song/media/outer/url?id=31152432.mp3"],
["Fading","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515661196.mp3","http://music.163.com/song/media/outer/url?id=515661196.mp3"],
["Love（Unauthorized authority）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336509987.mp3","http://music.163.com/song/media/outer/url?id=1336509987.mp3"],
["AW-Darkside（Clear YxY booleg）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305969057.mp3","http://music.163.com/song/media/outer/url?id=1305969057.mp3"],
["Alan Walker - Fade (CZ.Bootleg)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=517143324.mp3","http://music.163.com/song/media/outer/url?id=517143324.mp3"],
["Alan Walker-Fade（ER冰玄暝 Rmake Bootleg ）（ER冰玄暝 / Alan Walker remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1300819741.mp3","http://music.163.com/song/media/outer/url?id=1300819741.mp3"],
["Alan Walker - Faded ( Fizo Faouez Remix 2017)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1318471110.mp3","http://music.163.com/song/media/outer/url?id=1318471110.mp3"],
["Alan Walker-Faded rap bass (mixed)（DruGTRaffickerS / Alan Walker remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1326200623.mp3","http://music.163.com/song/media/outer/url?id=1326200623.mp3"],
["Fade铃声版（MATCHA Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1307874567.mp3","http://music.163.com/song/media/outer/url?id=1307874567.mp3"]
]
#阿桑
asang = [
["一直很安静","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5260494.mp3","http://music.163.com/song/media/outer/url?id=5260494.mp3"],
["寂寞在唱歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205267.mp3","http://music.163.com/song/media/outer/url?id=205267.mp3"],
["叶子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5249197.mp3","http://music.163.com/song/media/outer/url?id=5249197.mp3"],
["温柔的慈悲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205283.mp3","http://music.163.com/song/media/outer/url?id=205283.mp3"],
["受了点伤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205279.mp3","http://music.163.com/song/media/outer/url?id=205279.mp3"],
["野百合也有春天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4877011.mp3","http://music.163.com/song/media/outer/url?id=4877011.mp3"],
["保管","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5260503.mp3","http://music.163.com/song/media/outer/url?id=5260503.mp3"],
["你要离开一些时候","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205272.mp3","http://music.163.com/song/media/outer/url?id=205272.mp3"],
["开车","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4874540.mp3","http://music.163.com/song/media/outer/url?id=4874540.mp3"],
["疯了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205269.mp3","http://music.163.com/song/media/outer/url?id=205269.mp3"],
["Angel","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205276.mp3","http://music.163.com/song/media/outer/url?id=205276.mp3"],
["如果爱你只有这一次","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205281.mp3","http://music.163.com/song/media/outer/url?id=205281.mp3"],
["我不想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205280.mp3","http://music.163.com/song/media/outer/url?id=205280.mp3"],
["看透","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205286.mp3","http://music.163.com/song/media/outer/url?id=205286.mp3"],
["叶子 (秋天版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205277.mp3","http://music.163.com/song/media/outer/url?id=205277.mp3"],
["The Rose","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4877008.mp3","http://music.163.com/song/media/outer/url?id=4877008.mp3"],
["让我爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205278.mp3","http://music.163.com/song/media/outer/url?id=205278.mp3"],
["你的世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205282.mp3","http://music.163.com/song/media/outer/url?id=205282.mp3"],
["开关","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205275.mp3","http://music.163.com/song/media/outer/url?id=205275.mp3"],
["被动","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205270.mp3","http://music.163.com/song/media/outer/url?id=205270.mp3"],
["受了点伤(国)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5257459.mp3","http://music.163.com/song/media/outer/url?id=5257459.mp3"],
["皮外伤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205273.mp3","http://music.163.com/song/media/outer/url?id=205273.mp3"],
["任凭摆布","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205284.mp3","http://music.163.com/song/media/outer/url?id=205284.mp3"],
["如何让你不离开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=205285.mp3","http://music.163.com/song/media/outer/url?id=205285.mp3"],
["跟我说爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4874538.mp3","http://music.163.com/song/media/outer/url?id=4874538.mp3"],
["三宝颂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5261503.mp3","http://music.163.com/song/media/outer/url?id=5261503.mp3"]
]
#beyond
beyond = [
["光辉岁月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346576.mp3","http://music.163.com/song/media/outer/url?id=346576.mp3"],
["冷雨夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346069.mp3","http://music.163.com/song/media/outer/url?id=346069.mp3"],
["真的爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346075.mp3","http://music.163.com/song/media/outer/url?id=346075.mp3"],
["海阔天空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=400162138.mp3","http://music.163.com/song/media/outer/url?id=400162138.mp3"],
["不再犹豫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347597.mp3","http://music.163.com/song/media/outer/url?id=347597.mp3"],
["情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347355.mp3","http://music.163.com/song/media/outer/url?id=347355.mp3"],
["喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346073.mp3","http://music.163.com/song/media/outer/url?id=346073.mp3"],
["谁伴我闯荡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346085.mp3","http://music.163.com/song/media/outer/url?id=346085.mp3"],
["灰色轨迹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32701152.mp3","http://music.163.com/song/media/outer/url?id=32701152.mp3"],
["大地","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347758.mp3","http://music.163.com/song/media/outer/url?id=347758.mp3"],
["Amani","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346083.mp3","http://music.163.com/song/media/outer/url?id=346083.mp3"],
["无悔这一生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347712.mp3","http://music.163.com/song/media/outer/url?id=347712.mp3"],
["无尽空虚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347443.mp3","http://music.163.com/song/media/outer/url?id=347443.mp3"],
["午夜怨曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346079.mp3","http://music.163.com/song/media/outer/url?id=346079.mp3"],
["逝去日子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346076.mp3","http://music.163.com/song/media/outer/url?id=346076.mp3"],
["我是愤怒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347344.mp3","http://music.163.com/song/media/outer/url?id=347344.mp3"],
["农民","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346151.mp3","http://music.163.com/song/media/outer/url?id=346151.mp3"],
["曾是拥有","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347722.mp3","http://music.163.com/song/media/outer/url?id=347722.mp3"],
["再见理想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5266094.mp3","http://music.163.com/song/media/outer/url?id=5266094.mp3"],
["无泪的遗憾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347114.mp3","http://music.163.com/song/media/outer/url?id=347114.mp3"],
["遥望","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347274.mp3","http://music.163.com/song/media/outer/url?id=347274.mp3"],
["不可一世","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347253.mp3","http://music.163.com/song/media/outer/url?id=347253.mp3"],
["旧日的足迹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347537.mp3","http://music.163.com/song/media/outer/url?id=347537.mp3"],
["为了你，为了我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347272.mp3","http://music.163.com/song/media/outer/url?id=347272.mp3"],
["可否冲破","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347511.mp3","http://music.163.com/song/media/outer/url?id=347511.mp3"],
["遥かなる梦に","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347247.mp3","http://music.163.com/song/media/outer/url?id=347247.mp3"],
["俾面派对","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346082.mp3","http://music.163.com/song/media/outer/url?id=346082.mp3"],
["长空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4876684.mp3","http://music.163.com/song/media/outer/url?id=4876684.mp3"],
["早班火车","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346133.mp3","http://music.163.com/song/media/outer/url?id=346133.mp3"],
["真的爱妳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347720.mp3","http://music.163.com/song/media/outer/url?id=347720.mp3"],
["无语问苍天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347255.mp3","http://music.163.com/song/media/outer/url?id=347255.mp3"],
["愿我能","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346074.mp3","http://music.163.com/song/media/outer/url?id=346074.mp3"],
["冲开一切","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346071.mp3","http://music.163.com/song/media/outer/url?id=346071.mp3"],
["未曾后悔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347704.mp3","http://music.163.com/song/media/outer/url?id=347704.mp3"],
["曾经拥有","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347624.mp3","http://music.163.com/song/media/outer/url?id=347624.mp3"],
["喜歡你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27678506.mp3","http://music.163.com/song/media/outer/url?id=27678506.mp3"],
["半斤八两","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=400162137.mp3","http://music.163.com/song/media/outer/url?id=400162137.mp3"],
["无声的告别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346067.mp3","http://music.163.com/song/media/outer/url?id=346067.mp3"],
["报答一生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346347.mp3","http://music.163.com/song/media/outer/url?id=346347.mp3"],
["唱不完的歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5257640.mp3","http://music.163.com/song/media/outer/url?id=5257640.mp3"],
["你知道我的迷惘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347687.mp3","http://music.163.com/song/media/outer/url?id=347687.mp3"],
["交织千个心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347708.mp3","http://music.163.com/song/media/outer/url?id=347708.mp3"],
["AMANI(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347585.mp3","http://music.163.com/song/media/outer/url?id=347585.mp3"],
["亚拉伯跳舞女郎","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346066.mp3","http://music.163.com/song/media/outer/url?id=346066.mp3"],
["月光光(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347578.mp3","http://music.163.com/song/media/outer/url?id=347578.mp3"],
["遥かなる梦に~Far away~(オリヅナルカラオケ)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347369.mp3","http://music.163.com/song/media/outer/url?id=347369.mp3"],
["全是爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347239.mp3","http://music.163.com/song/media/outer/url?id=347239.mp3"],
["原谅我今天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347729.mp3","http://music.163.com/song/media/outer/url?id=347729.mp3"],
["走不开的快乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347356.mp3","http://music.163.com/song/media/outer/url?id=347356.mp3"],
["想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346095.mp3","http://music.163.com/song/media/outer/url?id=346095.mp3"]
]
#陈奕迅
chenyixun = [
["不要说话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25906124.mp3","http://music.163.com/song/media/outer/url?id=25906124.mp3"],
["我们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=551816010.mp3","http://music.163.com/song/media/outer/url?id=551816010.mp3"],
["富士山下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65766.mp3","http://music.163.com/song/media/outer/url?id=65766.mp3"],
["红玫瑰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65533.mp3","http://music.163.com/song/media/outer/url?id=65533.mp3"],
["好久不见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65538.mp3","http://music.163.com/song/media/outer/url?id=65538.mp3"],
["淘汰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65528.mp3","http://music.163.com/song/media/outer/url?id=65528.mp3"],
["阴天快乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28563317.mp3","http://music.163.com/song/media/outer/url?id=28563317.mp3"],
["爱情转移","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65536.mp3","http://music.163.com/song/media/outer/url?id=65536.mp3"],
["最佳损友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65800.mp3","http://music.163.com/song/media/outer/url?id=65800.mp3"],
["浮夸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66282.mp3","http://music.163.com/song/media/outer/url?id=66282.mp3"],
["一丝不挂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64634.mp3","http://music.163.com/song/media/outer/url?id=64634.mp3"],
["你给我听好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28481103.mp3","http://music.163.com/song/media/outer/url?id=28481103.mp3"],
["孤独患者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64093.mp3","http://music.163.com/song/media/outer/url?id=64093.mp3"],
["可以了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28481818.mp3","http://music.163.com/song/media/outer/url?id=28481818.mp3"],
["单车(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64561.mp3","http://music.163.com/song/media/outer/url?id=64561.mp3"],
["人来人往 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65923.mp3","http://music.163.com/song/media/outer/url?id=65923.mp3"],
["因为爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64317.mp3","http://music.163.com/song/media/outer/url?id=64317.mp3"],
["K歌之王 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65919.mp3","http://music.163.com/song/media/outer/url?id=65919.mp3"],
["苦瓜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64293.mp3","http://music.163.com/song/media/outer/url?id=64293.mp3"],
["倾城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27867449.mp3","http://music.163.com/song/media/outer/url?id=27867449.mp3"],
["白玫瑰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65761.mp3","http://music.163.com/song/media/outer/url?id=65761.mp3"],
["梦想天空分外蓝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25638273.mp3","http://music.163.com/song/media/outer/url?id=25638273.mp3"],
["葡萄成熟时","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66285.mp3","http://music.163.com/song/media/outer/url?id=66285.mp3"],
["稳稳的幸福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25730757.mp3","http://music.163.com/song/media/outer/url?id=25730757.mp3"],
["落花流水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64922.mp3","http://music.163.com/song/media/outer/url?id=64922.mp3"],
["于心有愧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64797.mp3","http://music.163.com/song/media/outer/url?id=64797.mp3"],
["内疚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64126.mp3","http://music.163.com/song/media/outer/url?id=64126.mp3"],
["约定(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64443.mp3","http://music.163.com/song/media/outer/url?id=64443.mp3"],
["十年(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877628.mp3","http://music.163.com/song/media/outer/url?id=31877628.mp3"],
["完","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64048.mp3","http://music.163.com/song/media/outer/url?id=64048.mp3"],
["斯德哥尔摩情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483204.mp3","http://music.163.com/song/media/outer/url?id=27483204.mp3"],
["沙龙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64833.mp3","http://music.163.com/song/media/outer/url?id=64833.mp3"],
["最冷一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186331.mp3","http://music.163.com/song/media/outer/url?id=186331.mp3"],
["陪你度过漫长岁月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35403523.mp3","http://music.163.com/song/media/outer/url?id=35403523.mp3"],
["失忆蝴蝶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483203.mp3","http://music.163.com/song/media/outer/url?id=27483203.mp3"],
["十面埋伏 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65904.mp3","http://music.163.com/song/media/outer/url?id=65904.mp3"],
["不如不见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65769.mp3","http://music.163.com/song/media/outer/url?id=65769.mp3"],
["无人之境","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64625.mp3","http://music.163.com/song/media/outer/url?id=64625.mp3"],
["明年今日 (2007 Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65312.mp3","http://music.163.com/song/media/outer/url?id=65312.mp3"],
["陀飞轮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64638.mp3","http://music.163.com/song/media/outer/url?id=64638.mp3"],
["裙下之臣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65758.mp3","http://music.163.com/song/media/outer/url?id=65758.mp3"],
["夕阳无限好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66272.mp3","http://music.163.com/song/media/outer/url?id=66272.mp3"],
["路...一直都在","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25906126.mp3","http://music.163.com/song/media/outer/url?id=25906126.mp3"],
["婚礼的祝福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=67572.mp3","http://music.163.com/song/media/outer/url?id=67572.mp3"],
["承诺(香港版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251209.mp3","http://music.163.com/song/media/outer/url?id=5251209.mp3"],
["阿牛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66265.mp3","http://music.163.com/song/media/outer/url?id=66265.mp3"],
["四季","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437802725.mp3","http://music.163.com/song/media/outer/url?id=437802725.mp3"],
["Sleep Alone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36539010.mp3","http://music.163.com/song/media/outer/url?id=36539010.mp3"],
["等(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64566.mp3","http://music.163.com/song/media/outer/url?id=64566.mp3"],
["让我留在你身边","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=438801672.mp3","http://music.163.com/song/media/outer/url?id=438801672.mp3"]
]
#催眠曲
cuimianqu = [
["香草园的八音盒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28798229.mp3","http://music.163.com/song/media/outer/url?id=28798229.mp3"],
["α","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139232.mp3","http://music.163.com/song/media/outer/url?id=139232.mp3"],
["The Fallen Leaves","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1220809.mp3","http://music.163.com/song/media/outer/url?id=1220809.mp3"],
["流光 (Music Box)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22724729.mp3","http://music.163.com/song/media/outer/url?id=22724729.mp3"],
["池塘夜色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28798238.mp3","http://music.163.com/song/media/outer/url?id=28798238.mp3"],
["古奈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574356336.mp3","http://music.163.com/song/media/outer/url?id=574356336.mp3"],
["Sleeping Hours","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26123939.mp3","http://music.163.com/song/media/outer/url?id=26123939.mp3"],
["Forest Sounds Make Baby Sleep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5269540.mp3","http://music.163.com/song/media/outer/url?id=5269540.mp3"],
["HANABI ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=497102.mp3","http://music.163.com/song/media/outer/url?id=497102.mp3"],
["Jamboree","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4054515.mp3","http://music.163.com/song/media/outer/url?id=4054515.mp3"],
["梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5272018.mp3","http://music.163.com/song/media/outer/url?id=5272018.mp3"],
["星夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5272016.mp3","http://music.163.com/song/media/outer/url?id=5272016.mp3"],
["Duet","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18733268.mp3","http://music.163.com/song/media/outer/url?id=18733268.mp3"],
["風の詩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22822602.mp3","http://music.163.com/song/media/outer/url?id=22822602.mp3"],
["η","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29137871.mp3","http://music.163.com/song/media/outer/url?id=29137871.mp3"],
["天空之城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28606435.mp3","http://music.163.com/song/media/outer/url?id=28606435.mp3"],
["Crisp and Clear","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1220813.mp3","http://music.163.com/song/media/outer/url?id=1220813.mp3"],
["梦中的婚礼(八音盒完整版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28274927.mp3","http://music.163.com/song/media/outer/url?id=28274927.mp3"],
["Gettin Sleepy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4453934.mp3","http://music.163.com/song/media/outer/url?id=4453934.mp3"],
["Silver Lake","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1218139.mp3","http://music.163.com/song/media/outer/url?id=1218139.mp3"],
["鲸与海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28798228.mp3","http://music.163.com/song/media/outer/url?id=28798228.mp3"],
["爱丽丝的幻想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28798227.mp3","http://music.163.com/song/media/outer/url?id=28798227.mp3"],
["醒来后的第二天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1364035764.mp3","http://music.163.com/song/media/outer/url?id=1364035764.mp3"],
["Caribbean Blue","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950034.mp3","http://music.163.com/song/media/outer/url?id=3950034.mp3"],
["Good Morning Sunshine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950531.mp3","http://music.163.com/song/media/outer/url?id=3950531.mp3"],
["The Sound Of Silence","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852172.mp3","http://music.163.com/song/media/outer/url?id=16852172.mp3"],
["Endless Horizon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951739.mp3","http://music.163.com/song/media/outer/url?id=3951739.mp3"],
["New Morning","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951982.mp3","http://music.163.com/song/media/outer/url?id=3951982.mp3"],
["One Day In Spring","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949919.mp3","http://music.163.com/song/media/outer/url?id=3949919.mp3"],
["My Heart Will Go On","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16851945.mp3","http://music.163.com/song/media/outer/url?id=16851945.mp3"],
["Dream Catcher","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951227.mp3","http://music.163.com/song/media/outer/url?id=3951227.mp3"],
["Give Me Your Hand","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951114.mp3","http://music.163.com/song/media/outer/url?id=3951114.mp3"],
["雪之梦重混版","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465301792.mp3","http://music.163.com/song/media/outer/url?id=465301792.mp3"],
["Moon River","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852190.mp3","http://music.163.com/song/media/outer/url?id=16852190.mp3"],
["The Winds Of Change","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852061.mp3","http://music.163.com/song/media/outer/url?id=16852061.mp3"],
["Your Smile","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852192.mp3","http://music.163.com/song/media/outer/url?id=16852192.mp3"],
["Right Here Waiting","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950892.mp3","http://music.163.com/song/media/outer/url?id=3950892.mp3"],
["Sailing","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852186.mp3","http://music.163.com/song/media/outer/url?id=16852186.mp3"],
["Muerte de una Estrella","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31234956.mp3","http://music.163.com/song/media/outer/url?id=31234956.mp3"],
["We Wish You A Merry Christmas","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852092.mp3","http://music.163.com/song/media/outer/url?id=16852092.mp3"],
["Sacrifice","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852174.mp3","http://music.163.com/song/media/outer/url?id=16852174.mp3"],
["Polestar","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950931.mp3","http://music.163.com/song/media/outer/url?id=3950931.mp3"],
["輝く季節の中で","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951036.mp3","http://music.163.com/song/media/outer/url?id=3951036.mp3"],
["Love Can Build A Bridge","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852220.mp3","http://music.163.com/song/media/outer/url?id=16852220.mp3"],
["Dreamer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852224.mp3","http://music.163.com/song/media/outer/url?id=16852224.mp3"],
["Melody Of Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852057.mp3","http://music.163.com/song/media/outer/url?id=16852057.mp3"],
["Neptun","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949922.mp3","http://music.163.com/song/media/outer/url?id=3949922.mp3"],
["May It Be","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852195.mp3","http://music.163.com/song/media/outer/url?id=16852195.mp3"],
["Time To Say Goodbye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16851937.mp3","http://music.163.com/song/media/outer/url?id=16851937.mp3"],
["You Are Not Alone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950148.mp3","http://music.163.com/song/media/outer/url?id=3950148.mp3"],
["Forever Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949910.mp3","http://music.163.com/song/media/outer/url?id=3949910.mp3"],
["Caribbean Blue","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5190417.mp3","http://music.163.com/song/media/outer/url?id=5190417.mp3"],
["Song Of The Angels","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852178.mp3","http://music.163.com/song/media/outer/url?id=16852178.mp3"],
["Comptine d'un autre été","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949900.mp3","http://music.163.com/song/media/outer/url?id=3949900.mp3"],
["Love Me Tender","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852223.mp3","http://music.163.com/song/media/outer/url?id=16852223.mp3"],
["Nights Of Barcelona","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852213.mp3","http://music.163.com/song/media/outer/url?id=16852213.mp3"],
["A Woodland Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5214114.mp3","http://music.163.com/song/media/outer/url?id=5214114.mp3"],
["Frozen Planet","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31234978.mp3","http://music.163.com/song/media/outer/url?id=31234978.mp3"],
["Nuit Magique","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852175.mp3","http://music.163.com/song/media/outer/url?id=16852175.mp3"],
["Listen To Your Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852226.mp3","http://music.163.com/song/media/outer/url?id=16852226.mp3"],
["Jingle Bells","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16852087.mp3","http://music.163.com/song/media/outer/url?id=16852087.mp3"],
["Flowers","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31246019.mp3","http://music.163.com/song/media/outer/url?id=31246019.mp3"],
["Starry Sky","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949502.mp3","http://music.163.com/song/media/outer/url?id=3949502.mp3"],
["Woodland Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949498.mp3","http://music.163.com/song/media/outer/url?id=3949498.mp3"],
["Orinoco Dreams","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949496.mp3","http://music.163.com/song/media/outer/url?id=3949496.mp3"],
["The Book of Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949493.mp3","http://music.163.com/song/media/outer/url?id=3949493.mp3"],
["Mystica","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949490.mp3","http://music.163.com/song/media/outer/url?id=3949490.mp3"],
["Childhood Memory","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949481.mp3","http://music.163.com/song/media/outer/url?id=3949481.mp3"],
["Annie's Wonderland","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949477.mp3","http://music.163.com/song/media/outer/url?id=3949477.mp3"],
["The Foggy Dew","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949473.mp3","http://music.163.com/song/media/outer/url?id=3949473.mp3"],
["Indian Dreams","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949469.mp3","http://music.163.com/song/media/outer/url?id=3949469.mp3"],
["Danny Boy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949465.mp3","http://music.163.com/song/media/outer/url?id=3949465.mp3"],
["The Wind of Change","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949462.mp3","http://music.163.com/song/media/outer/url?id=3949462.mp3"],
["Believe Me If All Those Endearing Young Charm","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949459.mp3","http://music.163.com/song/media/outer/url?id=3949459.mp3"],
["The Foggy Dew","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949535.mp3","http://music.163.com/song/media/outer/url?id=3949535.mp3"],
["April","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949520.mp3","http://music.163.com/song/media/outer/url?id=3949520.mp3"],
["Indian Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949511.mp3","http://music.163.com/song/media/outer/url?id=3949511.mp3"],
["Loverletter to You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950692.mp3","http://music.163.com/song/media/outer/url?id=3950692.mp3"],
["Breakout","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951066.mp3","http://music.163.com/song/media/outer/url?id=3951066.mp3"],
["Beyond the Invisible","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951051.mp3","http://music.163.com/song/media/outer/url?id=3951051.mp3"],
["The Golden Land","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951061.mp3","http://music.163.com/song/media/outer/url?id=3951061.mp3"],
["Hymn","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951056.mp3","http://music.163.com/song/media/outer/url?id=3951056.mp3"],
["The Soong Sister","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951043.mp3","http://music.163.com/song/media/outer/url?id=3951043.mp3"],
["Give Me Your Hand","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951040.mp3","http://music.163.com/song/media/outer/url?id=3951040.mp3"],
["Zarabanda","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951033.mp3","http://music.163.com/song/media/outer/url?id=3951033.mp3"],
["Lauren","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951037.mp3","http://music.163.com/song/media/outer/url?id=3951037.mp3"],
["Adagio in Minor","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951030.mp3","http://music.163.com/song/media/outer/url?id=3951030.mp3"],
["Beyond the Sundial","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951028.mp3","http://music.163.com/song/media/outer/url?id=3951028.mp3"],
["Dreamcatcher","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951024.mp3","http://music.163.com/song/media/outer/url?id=3951024.mp3"],
["Turning","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951020.mp3","http://music.163.com/song/media/outer/url?id=3951020.mp3"],
["月光小夜曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5268978.mp3","http://music.163.com/song/media/outer/url?id=5268978.mp3"],
["Annie's Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951441.mp3","http://music.163.com/song/media/outer/url?id=3951441.mp3"],
["Star of Baghdad","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951437.mp3","http://music.163.com/song/media/outer/url?id=3951437.mp3"]
]
#纯音乐
chunyinyue = [
["Rain after Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430685732.mp3","http://music.163.com/song/media/outer/url?id=430685732.mp3"],
["潮鳴り","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22707008.mp3","http://music.163.com/song/media/outer/url?id=22707008.mp3"],
["Inspire","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16846091.mp3","http://music.163.com/song/media/outer/url?id=16846091.mp3"],
["Hyacinth","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26127164.mp3","http://music.163.com/song/media/outer/url?id=26127164.mp3"],
["My Soul","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5308028.mp3","http://music.163.com/song/media/outer/url?id=5308028.mp3"],
["Best Moments (feat. Kondor)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=698479.mp3","http://music.163.com/song/media/outer/url?id=698479.mp3"],
["Lost Love (Instrumental)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=493478198.mp3","http://music.163.com/song/media/outer/url?id=493478198.mp3"],
["风居住的街道（Piano ver）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36897723.mp3","http://music.163.com/song/media/outer/url?id=36897723.mp3"],
["Beyond The Memory","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5307982.mp3","http://music.163.com/song/media/outer/url?id=5307982.mp3"],
["メインテーマ「永遠の一瞬」","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27514120.mp3","http://music.163.com/song/media/outer/url?id=27514120.mp3"],
["Journey","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16846088.mp3","http://music.163.com/song/media/outer/url?id=16846088.mp3"],
["Flower Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22676167.mp3","http://music.163.com/song/media/outer/url?id=22676167.mp3"],
["Righteous Path","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5101648.mp3","http://music.163.com/song/media/outer/url?id=5101648.mp3"],
["いのちの名前","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=578090.mp3","http://music.163.com/song/media/outer/url?id=578090.mp3"],
["花火が瞬く夜に","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434902428.mp3","http://music.163.com/song/media/outer/url?id=434902428.mp3"],
["记得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5254129.mp3","http://music.163.com/song/media/outer/url?id=5254129.mp3"],
["Encouragment","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1638654.mp3","http://music.163.com/song/media/outer/url?id=1638654.mp3"],
["Rise - Epic Music","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28283137.mp3","http://music.163.com/song/media/outer/url?id=28283137.mp3"],
["A Little Story","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=857896.mp3","http://music.163.com/song/media/outer/url?id=857896.mp3"],
["City","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=451319227.mp3","http://music.163.com/song/media/outer/url?id=451319227.mp3"],
["《夜色钢琴曲》kiss the rain（Cover：YIRUMA）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31066449.mp3","http://music.163.com/song/media/outer/url?id=31066449.mp3"],
["Moon Flow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22844535.mp3","http://music.163.com/song/media/outer/url?id=22844535.mp3"],
["River Flows in You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26237342.mp3","http://music.163.com/song/media/outer/url?id=26237342.mp3"],
["白昼之夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=116493.mp3","http://music.163.com/song/media/outer/url?id=116493.mp3"],
["LOVIN' YOU","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22822506.mp3","http://music.163.com/song/media/outer/url?id=22822506.mp3"],
["Tears 眼泪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26420054.mp3","http://music.163.com/song/media/outer/url?id=26420054.mp3"],
["ALONE ON THE WAY","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139718.mp3","http://music.163.com/song/media/outer/url?id=139718.mp3"],
["Intro","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4341314.mp3","http://music.163.com/song/media/outer/url?id=4341314.mp3"],
["Somewhere","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5307932.mp3","http://music.163.com/song/media/outer/url?id=5307932.mp3"],
["我在那一角落患过伤风(钢琴版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28406526.mp3","http://music.163.com/song/media/outer/url?id=28406526.mp3"],
["Rainy Day Reminiscence","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1993749.mp3","http://music.163.com/song/media/outer/url?id=1993749.mp3"],
["Refrain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22712173.mp3","http://music.163.com/song/media/outer/url?id=22712173.mp3"],
["STEPPING ON THE RAINY STREET","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5271071.mp3","http://music.163.com/song/media/outer/url?id=5271071.mp3"],
["Angel and Devil","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27707270.mp3","http://music.163.com/song/media/outer/url?id=27707270.mp3"],
["Butterfly Waltz","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1091873.mp3","http://music.163.com/song/media/outer/url?id=1091873.mp3"],
["Mallow Flower","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22802176.mp3","http://music.163.com/song/media/outer/url?id=22802176.mp3"],
["The truth that you leave","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139774.mp3","http://music.163.com/song/media/outer/url?id=139774.mp3"],
["canon in d","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1091088.mp3","http://music.163.com/song/media/outer/url?id=1091088.mp3"],
["めぐる季节","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443521.mp3","http://music.163.com/song/media/outer/url?id=443521.mp3"],
["拥有Masbfca (广告配乐完整版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=103301.mp3","http://music.163.com/song/media/outer/url?id=103301.mp3"],
["碎月雨中奏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=103035.mp3","http://music.163.com/song/media/outer/url?id=103035.mp3"],
["Always With Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5267808.mp3","http://music.163.com/song/media/outer/url?id=5267808.mp3"],
["Everlasting Truth","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22743825.mp3","http://music.163.com/song/media/outer/url?id=22743825.mp3"],
["The promise","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21725725.mp3","http://music.163.com/song/media/outer/url?id=21725725.mp3"],
["Luv Letter","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406232.mp3","http://music.163.com/song/media/outer/url?id=406232.mp3"],
["卡农（经典钢琴版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=478507889.mp3","http://music.163.com/song/media/outer/url?id=478507889.mp3"],
["卡农【钢琴版】","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=476875644.mp3","http://music.163.com/song/media/outer/url?id=476875644.mp3"],
["【钢琴】雨的印记（Kiss The Rain）（Cover YIRUMA）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=415085696.mp3","http://music.163.com/song/media/outer/url?id=415085696.mp3"],
["Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443242.mp3","http://music.163.com/song/media/outer/url?id=443242.mp3"],
["Snowdream","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951353.mp3","http://music.163.com/song/media/outer/url?id=3951353.mp3"],
["雪之梦钢琴版（snowdreams钢琴主旋律版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=504923885.mp3","http://music.163.com/song/media/outer/url?id=504923885.mp3"],
["悲怆奏鸣曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5276807.mp3","http://music.163.com/song/media/outer/url?id=5276807.mp3"],
["星空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34341364.mp3","http://music.163.com/song/media/outer/url?id=34341364.mp3"],
["爱的纪念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34341351.mp3","http://music.163.com/song/media/outer/url?id=34341351.mp3"],
["水边的阿狄丽娜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34341358.mp3","http://music.163.com/song/media/outer/url?id=34341358.mp3"],
["天空之城（钢琴版）（Cover 久石让）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=103027.mp3","http://music.163.com/song/media/outer/url?id=103027.mp3"],
["A Comm Amour","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1879644.mp3","http://music.163.com/song/media/outer/url?id=1879644.mp3"],
["秋日的私语","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34341349.mp3","http://music.163.com/song/media/outer/url?id=34341349.mp3"],
["Croatian Rhapsody","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1696373.mp3","http://music.163.com/song/media/outer/url?id=1696373.mp3"],
["6 Etudes d'exécution transcendante d'après Paganini, S.140:3. La Campanella","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18558271.mp3","http://music.163.com/song/media/outer/url?id=18558271.mp3"],
["梦中的婚礼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34341360.mp3","http://music.163.com/song/media/outer/url?id=34341360.mp3"],
["寂静之声","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5271400.mp3","http://music.163.com/song/media/outer/url?id=5271400.mp3"],
["夜的钢琴曲五（Cover 石进）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=530599381.mp3","http://music.163.com/song/media/outer/url?id=530599381.mp3"],
["風の住む街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=586299.mp3","http://music.163.com/song/media/outer/url?id=586299.mp3"],
["神秘园之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=293436.mp3","http://music.163.com/song/media/outer/url?id=293436.mp3"],
["蓝色多瑙河","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5276811.mp3","http://music.163.com/song/media/outer/url?id=5276811.mp3"],
["今夜的星光 （小说《流浪地球》钢琴纯音乐， 刘慈欣撰名版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344062973.mp3","http://music.163.com/song/media/outer/url?id=1344062973.mp3"],
["少女的祈祷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=180279.mp3","http://music.163.com/song/media/outer/url?id=180279.mp3"],
["Born a Stranger","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1645108.mp3","http://music.163.com/song/media/outer/url?id=1645108.mp3"],
["For River - Piano (Johnny's Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1645112.mp3","http://music.163.com/song/media/outer/url?id=1645112.mp3"],
["River Flows in You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26237342.mp3","http://music.163.com/song/media/outer/url?id=26237342.mp3"],
["River Flows In You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20110049.mp3","http://music.163.com/song/media/outer/url?id=20110049.mp3"],
["Clair de lune (from Suite bergamasque)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1145380.mp3","http://music.163.com/song/media/outer/url?id=1145380.mp3"],
["Dear","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22678650.mp3","http://music.163.com/song/media/outer/url?id=22678650.mp3"],
["God knows…","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28592474.mp3","http://music.163.com/song/media/outer/url?id=28592474.mp3"],
["Comptine d'un autre été, l'après-midi","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20744076.mp3","http://music.163.com/song/media/outer/url?id=20744076.mp3"],
["STEPPING ON THE RAINY STREET","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5271071.mp3","http://music.163.com/song/media/outer/url?id=5271071.mp3"],
["A Little Story","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=857896.mp3","http://music.163.com/song/media/outer/url?id=857896.mp3"],
["いのちの名前","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=578090.mp3","http://music.163.com/song/media/outer/url?id=578090.mp3"],
["What I Feel When I See Her","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437245125.mp3","http://music.163.com/song/media/outer/url?id=437245125.mp3"],
["Flower Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22676167.mp3","http://music.163.com/song/media/outer/url?id=22676167.mp3"],
["ニコルのピアノ“涙のテーマ”","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4990618.mp3","http://music.163.com/song/media/outer/url?id=4990618.mp3"],
["小さなてのひら","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22706975.mp3","http://music.163.com/song/media/outer/url?id=22706975.mp3"],
["Bamboo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=801827.mp3","http://music.163.com/song/media/outer/url?id=801827.mp3"],
["Do You?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22829926.mp3","http://music.163.com/song/media/outer/url?id=22829926.mp3"],
["you","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=786262.mp3","http://music.163.com/song/media/outer/url?id=786262.mp3"],
["Love Letter","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5318677.mp3","http://music.163.com/song/media/outer/url?id=5318677.mp3"],
["if (piano arrange)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29308009.mp3","http://music.163.com/song/media/outer/url?id=29308009.mp3"],
["Bloom of Youth","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=760058.mp3","http://music.163.com/song/media/outer/url?id=760058.mp3"],
["One More Chance (幻梦 Piano.Ver)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=431794174.mp3","http://music.163.com/song/media/outer/url?id=431794174.mp3"],
["Wings Of Piano","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28377225.mp3","http://music.163.com/song/media/outer/url?id=28377225.mp3"],
["デート","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426881489.mp3","http://music.163.com/song/media/outer/url?id=426881489.mp3"],
["想い出は遠くの日々","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528284.mp3","http://music.163.com/song/media/outer/url?id=528284.mp3"],
["雨のち想い出","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515278.mp3","http://music.163.com/song/media/outer/url?id=515278.mp3"],
["人生のメリーゴーランド","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=442454.mp3","http://music.163.com/song/media/outer/url?id=442454.mp3"],
["The Lost City","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=483913436.mp3","http://music.163.com/song/media/outer/url?id=483913436.mp3"],
["The truth that you leave","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139774.mp3","http://music.163.com/song/media/outer/url?id=139774.mp3"],
["ALONE ON THE WAY","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139718.mp3","http://music.163.com/song/media/outer/url?id=139718.mp3"],
["Always With Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5267808.mp3","http://music.163.com/song/media/outer/url?id=5267808.mp3"],
["Annabelle","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139755.mp3","http://music.163.com/song/media/outer/url?id=139755.mp3"],
["复刻回忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139707.mp3","http://music.163.com/song/media/outer/url?id=139707.mp3"],
["鸟之诗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29572733.mp3","http://music.163.com/song/media/outer/url?id=29572733.mp3"],
["青石巷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=422429425.mp3","http://music.163.com/song/media/outer/url?id=422429425.mp3"],
["Autumn rain（未修改版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430053309.mp3","http://music.163.com/song/media/outer/url?id=430053309.mp3"],
["The Dawn (亡灵序曲完美钢琴版) [Cover Dreamtale]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=476592630.mp3","http://music.163.com/song/media/outer/url?id=476592630.mp3"],
["最初","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477417503.mp3","http://music.163.com/song/media/outer/url?id=477417503.mp3"],
["勿念他归","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28253999.mp3","http://music.163.com/song/media/outer/url?id=28253999.mp3"],
["月半小夜曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=127777.mp3","http://music.163.com/song/media/outer/url?id=127777.mp3"],
["李健 - 《E8r钢琴曲》贝加尔湖畔（E8r remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=542476198.mp3","http://music.163.com/song/media/outer/url?id=542476198.mp3"],
["《夜色钢琴曲》虹之间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31134607.mp3","http://music.163.com/song/media/outer/url?id=31134607.mp3"],
["江南","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=420397861.mp3","http://music.163.com/song/media/outer/url?id=420397861.mp3"],
["IF YOU钢琴版","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=450698329.mp3","http://music.163.com/song/media/outer/url?id=450698329.mp3"],
["富士山下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=89000.mp3","http://music.163.com/song/media/outer/url?id=89000.mp3"],
["call of silence（Cover Piano）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=505307631.mp3","http://music.163.com/song/media/outer/url?id=505307631.mp3"],
["last kiss","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1368486697.mp3","http://music.163.com/song/media/outer/url?id=1368486697.mp3"],
["花火が瞬く夜に","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434902428.mp3","http://music.163.com/song/media/outer/url?id=434902428.mp3"],
["月光(变奏版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4873202.mp3","http://music.163.com/song/media/outer/url?id=4873202.mp3"],
["穿越时空的思念（Cover：和田薫）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419877515.mp3","http://music.163.com/song/media/outer/url?id=419877515.mp3"],
["風の住む街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=586299.mp3","http://music.163.com/song/media/outer/url?id=586299.mp3"],
["Rainy Dumplings","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=572182643.mp3","http://music.163.com/song/media/outer/url?id=572182643.mp3"],
["想いの寄り方は不均一","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=441736.mp3","http://music.163.com/song/media/outer/url?id=441736.mp3"],
["桃花岛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4875319.mp3","http://music.163.com/song/media/outer/url?id=4875319.mp3"],
["五月雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=530507.mp3","http://music.163.com/song/media/outer/url?id=530507.mp3"],
["殇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29999285.mp3","http://music.163.com/song/media/outer/url?id=29999285.mp3"],
["寂しい夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=478127.mp3","http://music.163.com/song/media/outer/url?id=478127.mp3"],
["恨爱交加","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=137473.mp3","http://music.163.com/song/media/outer/url?id=137473.mp3"],
["Dream - Get Over(改编cover《棋魂》主题曲op）（猫宁桑 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471421367.mp3","http://music.163.com/song/media/outer/url?id=471421367.mp3"],
["大鱼 钢琴版","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=414706265.mp3","http://music.163.com/song/media/outer/url?id=414706265.mp3"],
["Illusionary Daytime","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28907016.mp3","http://music.163.com/song/media/outer/url?id=28907016.mp3"],
["Flower Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406238.mp3","http://music.163.com/song/media/outer/url?id=406238.mp3"],
["Time after time","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413831242.mp3","http://music.163.com/song/media/outer/url?id=413831242.mp3"],
["和煦的糖果风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439142564.mp3","http://music.163.com/song/media/outer/url?id=439142564.mp3"],
["桜流し (Instrumental)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26092657.mp3","http://music.163.com/song/media/outer/url?id=26092657.mp3"],
["Infatuation","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1358035599.mp3","http://music.163.com/song/media/outer/url?id=1358035599.mp3"],
["三葉のテーマ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426881500.mp3","http://music.163.com/song/media/outer/url?id=426881500.mp3"],
["我们别时和见时不同","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=863464857.mp3","http://music.163.com/song/media/outer/url?id=863464857.mp3"],
["かたわれ時","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426881502.mp3","http://music.163.com/song/media/outer/url?id=426881502.mp3"],
["LOVE Theme from TIGA ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4968365.mp3","http://music.163.com/song/media/outer/url?id=4968365.mp3"],
["迪迦 - 人类的光(remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=506654324.mp3","http://music.163.com/song/media/outer/url?id=506654324.mp3"],
["相思变奏（钢琴梦幻版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1301654429.mp3","http://music.163.com/song/media/outer/url?id=1301654429.mp3"],
["告白の夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=534540206.mp3","http://music.163.com/song/media/outer/url?id=534540206.mp3"],
["小樱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406070435.mp3","http://music.163.com/song/media/outer/url?id=406070435.mp3"],
["四月樱花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1355079681.mp3","http://music.163.com/song/media/outer/url?id=1355079681.mp3"],
["I See It","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=484343995.mp3","http://music.163.com/song/media/outer/url?id=484343995.mp3"],
["Lost In Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=521597063.mp3","http://music.163.com/song/media/outer/url?id=521597063.mp3"],
["サクラ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=586308.mp3","http://music.163.com/song/media/outer/url?id=586308.mp3"],
["夏夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=410042763.mp3","http://music.163.com/song/media/outer/url?id=410042763.mp3"],
["ζ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29137872.mp3","http://music.163.com/song/media/outer/url?id=29137872.mp3"],
["与你成诗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=546715824.mp3","http://music.163.com/song/media/outer/url?id=546715824.mp3"],
["龙珠GT - DAN DAN心魅かれてく","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474042478.mp3","http://music.163.com/song/media/outer/url?id=474042478.mp3"],
["天元之弈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320100278.mp3","http://music.163.com/song/media/outer/url?id=1320100278.mp3"],
["託された想い","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28411043.mp3","http://music.163.com/song/media/outer/url?id=28411043.mp3"],
["旅路の果て","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=723009.mp3","http://music.163.com/song/media/outer/url?id=723009.mp3"],
["城南花已开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468176711.mp3","http://music.163.com/song/media/outer/url?id=468176711.mp3"],
["寂夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1347708729.mp3","http://music.163.com/song/media/outer/url?id=1347708729.mp3"],
["Tunnel","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482922664.mp3","http://music.163.com/song/media/outer/url?id=482922664.mp3"],
["昙りのち晴れ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4928415.mp3","http://music.163.com/song/media/outer/url?id=4928415.mp3"],
["我的一个道姑朋友（Cover 田井中彩智）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=492390188.mp3","http://music.163.com/song/media/outer/url?id=492390188.mp3"],
["龙珠GT - 渐渐被你吸引","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474042450.mp3","http://music.163.com/song/media/outer/url?id=474042450.mp3"],
["Rain after Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430685732.mp3","http://music.163.com/song/media/outer/url?id=430685732.mp3"],
["夜想曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28403210.mp3","http://music.163.com/song/media/outer/url?id=28403210.mp3"],
["Everything Above","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1363152886.mp3","http://music.163.com/song/media/outer/url?id=1363152886.mp3"],
["莫失莫忘(《仙剑奇侠传》电视插曲) -文武贝钢琴版","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=41462133.mp3","http://music.163.com/song/media/outer/url?id=41462133.mp3"],
["清明","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=469545781.mp3","http://music.163.com/song/media/outer/url?id=469545781.mp3"],
["云栖竹径","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1368929450.mp3","http://music.163.com/song/media/outer/url?id=1368929450.mp3"],
["アゲイン","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30245064.mp3","http://music.163.com/song/media/outer/url?id=30245064.mp3"],
["美丽的神话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165176.mp3","http://music.163.com/song/media/outer/url?id=165176.mp3"],
["共伴闯天涯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86384.mp3","http://music.163.com/song/media/outer/url?id=86384.mp3"],
["风居住的街道（Piano ver）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36897723.mp3","http://music.163.com/song/media/outer/url?id=36897723.mp3"],
["青石巷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=422429425.mp3","http://music.163.com/song/media/outer/url?id=422429425.mp3"],
["火影 - 宁次之死","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474990486.mp3","http://music.163.com/song/media/outer/url?id=474990486.mp3"],
["你看你看月亮的脸（伍乐钢琴版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=550333962.mp3","http://music.163.com/song/media/outer/url?id=550333962.mp3"],
["The Beginning","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29753390.mp3","http://music.163.com/song/media/outer/url?id=29753390.mp3"],
["The truth that you leave","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139774.mp3","http://music.163.com/song/media/outer/url?id=139774.mp3"],
["I will (On The Pinao)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29755182.mp3","http://music.163.com/song/media/outer/url?id=29755182.mp3"],
["City 城市","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=493752060.mp3","http://music.163.com/song/media/outer/url?id=493752060.mp3"],
["雪见—仙凡之旅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86381.mp3","http://music.163.com/song/media/outer/url?id=86381.mp3"],
["Brave Song -Piano Arrange Ver.-","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34014168.mp3","http://music.163.com/song/media/outer/url?id=34014168.mp3"],
["夜空的寂静","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29561063.mp3","http://music.163.com/song/media/outer/url?id=29561063.mp3"],
["デート","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426881489.mp3","http://music.163.com/song/media/outer/url?id=426881489.mp3"],
["비오는 토요일 오후","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5310869.mp3","http://music.163.com/song/media/outer/url?id=5310869.mp3"],
["月明かり","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4922660.mp3","http://music.163.com/song/media/outer/url?id=4922660.mp3"],
["梦幻抱拥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=459021.mp3","http://music.163.com/song/media/outer/url?id=459021.mp3"],
["心情不好吗？","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1366228707.mp3","http://music.163.com/song/media/outer/url?id=1366228707.mp3"],
["桜之空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=458026683.mp3","http://music.163.com/song/media/outer/url?id=458026683.mp3"],
["寂川","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=487864613.mp3","http://music.163.com/song/media/outer/url?id=487864613.mp3"],
["入世","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320101293.mp3","http://music.163.com/song/media/outer/url?id=1320101293.mp3"],
["東山花灯路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28302615.mp3","http://music.163.com/song/media/outer/url?id=28302615.mp3"],
["Dreamworld(梦境）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334624319.mp3","http://music.163.com/song/media/outer/url?id=1334624319.mp3"],
["夏祭り、夢花火。","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28411784.mp3","http://music.163.com/song/media/outer/url?id=28411784.mp3"],
["リフレイン Piano Version","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28838680.mp3","http://music.163.com/song/media/outer/url?id=28838680.mp3"],
["信仰の里返し","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=766063.mp3","http://music.163.com/song/media/outer/url?id=766063.mp3"],
["澤野弘之 - Call of Silence (孝淑 Bootleg)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=483402579.mp3","http://music.163.com/song/media/outer/url?id=483402579.mp3"],
["天空を駆ける風の都","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28977339.mp3","http://music.163.com/song/media/outer/url?id=28977339.mp3"],
["Hometown and miss（Piano ver.）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=490991623.mp3","http://music.163.com/song/media/outer/url?id=490991623.mp3"],
["Ra·crity","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1339651338.mp3","http://music.163.com/song/media/outer/url?id=1339651338.mp3"],
["夜明","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29047169.mp3","http://music.163.com/song/media/outer/url?id=29047169.mp3"],
["私の空、彼女の空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33469232.mp3","http://music.163.com/song/media/outer/url?id=33469232.mp3"],
["ヨスガノソラ メインテーマ -記憶-","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477931.mp3","http://music.163.com/song/media/outer/url?id=477931.mp3"],
["风神の调べ~优艶幻想曲集~","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=707886.mp3","http://music.163.com/song/media/outer/url?id=707886.mp3"],
["同じ空みつめてるあなたに (Inst.)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=820356.mp3","http://music.163.com/song/media/outer/url?id=820356.mp3"],
["御神体","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426881488.mp3","http://music.163.com/song/media/outer/url?id=426881488.mp3"],
["相思（西游记后传片尾曲钢琴版）（Cover 毛阿敏）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471895480.mp3","http://music.163.com/song/media/outer/url?id=471895480.mp3"],
["WHITE ALBUM PIANO","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32303027.mp3","http://music.163.com/song/media/outer/url?id=32303027.mp3"],
["歌に形はないけれど","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29449498.mp3","http://music.163.com/song/media/outer/url?id=29449498.mp3"],
["归隐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320101292.mp3","http://music.163.com/song/media/outer/url?id=1320101292.mp3"],
["ヨスガノソラ メインテーマ -願い-","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477939.mp3","http://music.163.com/song/media/outer/url?id=477939.mp3"],
["雲流れ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=785902.mp3","http://music.163.com/song/media/outer/url?id=785902.mp3"],
["泥鳅天生自来卷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=550373393.mp3","http://music.163.com/song/media/outer/url?id=550373393.mp3"],
["桜恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515635175.mp3","http://music.163.com/song/media/outer/url?id=515635175.mp3"],
["思い出をありがとう","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28699446.mp3","http://music.163.com/song/media/outer/url?id=28699446.mp3"],
["良し","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=540351.mp3","http://music.163.com/song/media/outer/url?id=540351.mp3"],
["あなたを想いたい","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4976998.mp3","http://music.163.com/song/media/outer/url?id=4976998.mp3"],
["秦时明月-云散月现（月光幸福版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29812093.mp3","http://music.163.com/song/media/outer/url?id=29812093.mp3"],
["回梦游仙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28786838.mp3","http://music.163.com/song/media/outer/url?id=28786838.mp3"],
["Bloom of Youth","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=760058.mp3","http://music.163.com/song/media/outer/url?id=760058.mp3"],
["ひだまりの郷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4956882.mp3","http://music.163.com/song/media/outer/url?id=4956882.mp3"],
["仙剑问情 piano ver.","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=494793329.mp3","http://music.163.com/song/media/outer/url?id=494793329.mp3"],
["Snow before Spring","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=459957117.mp3","http://music.163.com/song/media/outer/url?id=459957117.mp3"],
["第105天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139737.mp3","http://music.163.com/song/media/outer/url?id=139737.mp3"],
["風見鶏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22688487.mp3","http://music.163.com/song/media/outer/url?id=22688487.mp3"],
["Dear","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22678650.mp3","http://music.163.com/song/media/outer/url?id=22678650.mp3"],
["斑鸠 ~気高き鸟~","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=778277.mp3","http://music.163.com/song/media/outer/url?id=778277.mp3"],
["祈り","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28481646.mp3","http://music.163.com/song/media/outer/url?id=28481646.mp3"],
["“笼のなか”","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=469772.mp3","http://music.163.com/song/media/outer/url?id=469772.mp3"],
["もつれる言叶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4946907.mp3","http://music.163.com/song/media/outer/url?id=4946907.mp3"],
["何以情深","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=532620180.mp3","http://music.163.com/song/media/outer/url?id=532620180.mp3"],
["为霜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=535517304.mp3","http://music.163.com/song/media/outer/url?id=535517304.mp3"],
["Les larmes d'automne","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16411247.mp3","http://music.163.com/song/media/outer/url?id=16411247.mp3"],
["想いの眠るゆりかご","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4964082.mp3","http://music.163.com/song/media/outer/url?id=4964082.mp3"],
["蜘蛛と老婆と少女","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=533155.mp3","http://music.163.com/song/media/outer/url?id=533155.mp3"],
["悲しい结末","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471373.mp3","http://music.163.com/song/media/outer/url?id=471373.mp3"],
["悲しき過去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22642371.mp3","http://music.163.com/song/media/outer/url?id=22642371.mp3"],
["スカーレット","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4979715.mp3","http://music.163.com/song/media/outer/url?id=4979715.mp3"],
["母の手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28724482.mp3","http://music.163.com/song/media/outer/url?id=28724482.mp3"],
["Outro","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28921691.mp3","http://music.163.com/song/media/outer/url?id=28921691.mp3"],
["白露","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475311996.mp3","http://music.163.com/song/media/outer/url?id=475311996.mp3"],
["Good Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485856132.mp3","http://music.163.com/song/media/outer/url?id=485856132.mp3"],
["序曲-画城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439138622.mp3","http://music.163.com/song/media/outer/url?id=439138622.mp3"],
["Silent express","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28287116.mp3","http://music.163.com/song/media/outer/url?id=28287116.mp3"],
["The Right Path","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2061452.mp3","http://music.163.com/song/media/outer/url?id=2061452.mp3"],
["《夜色钢琴曲》在一起的时光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31134633.mp3","http://music.163.com/song/media/outer/url?id=31134633.mp3"],
["A Rainy Morning ~Main Title~","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26465043.mp3","http://music.163.com/song/media/outer/url?id=26465043.mp3"],
["“冬のソナタ”~初めから今まで","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=625568.mp3","http://music.163.com/song/media/outer/url?id=625568.mp3"],
["지금은 이별입니다","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28838975.mp3","http://music.163.com/song/media/outer/url?id=28838975.mp3"],
["深緑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=692828.mp3","http://music.163.com/song/media/outer/url?id=692828.mp3"],
["原始の森","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22683858.mp3","http://music.163.com/song/media/outer/url?id=22683858.mp3"],
["Neighbor's Garden","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437753541.mp3","http://music.163.com/song/media/outer/url?id=437753541.mp3"],
["空に光る","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22707003.mp3","http://music.163.com/song/media/outer/url?id=22707003.mp3"],
["春日","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409649183.mp3","http://music.163.com/song/media/outer/url?id=409649183.mp3"],
["茜云","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=848428.mp3","http://music.163.com/song/media/outer/url?id=848428.mp3"],
["风行九歌·曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=524783119.mp3","http://music.163.com/song/media/outer/url?id=524783119.mp3"],
["東風-piano-","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22707013.mp3","http://music.163.com/song/media/outer/url?id=22707013.mp3"],
["晨曦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=453749183.mp3","http://music.163.com/song/media/outer/url?id=453749183.mp3"],
["画心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=214588.mp3","http://music.163.com/song/media/outer/url?id=214588.mp3"],
["想い出は遠くの日々","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528284.mp3","http://music.163.com/song/media/outer/url?id=528284.mp3"],
["溢爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536057.mp3","http://music.163.com/song/media/outer/url?id=536057.mp3"],
["哀と悲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=784553.mp3","http://music.163.com/song/media/outer/url?id=784553.mp3"],
["大鱼 (伴奏)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413834632.mp3","http://music.163.com/song/media/outer/url?id=413834632.mp3"],
["暮色苍然","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=744376.mp3","http://music.163.com/song/media/outer/url?id=744376.mp3"],
["散花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26131697.mp3","http://music.163.com/song/media/outer/url?id=26131697.mp3"],
["Windy Hill","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427606780.mp3","http://music.163.com/song/media/outer/url?id=427606780.mp3"],
["前前前世 Piano ver.","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437250852.mp3","http://music.163.com/song/media/outer/url?id=437250852.mp3"],
["星空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34341364.mp3","http://music.163.com/song/media/outer/url?id=34341364.mp3"],
["月の涙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=777948.mp3","http://music.163.com/song/media/outer/url?id=777948.mp3"],
["Seven","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=476598469.mp3","http://music.163.com/song/media/outer/url?id=476598469.mp3"],
["儚い願い","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28838676.mp3","http://music.163.com/song/media/outer/url?id=28838676.mp3"],
["夏影","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28151024.mp3","http://music.163.com/song/media/outer/url?id=28151024.mp3"],
["スカーレット","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4966665.mp3","http://music.163.com/song/media/outer/url?id=4966665.mp3"],
["腐り姫の伝説","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29750590.mp3","http://music.163.com/song/media/outer/url?id=29750590.mp3"],
["Karma","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4993317.mp3","http://music.163.com/song/media/outer/url?id=4993317.mp3"],
["笑っていたくて……","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4928394.mp3","http://music.163.com/song/media/outer/url?id=4928394.mp3"],
["潮鳴り","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22707008.mp3","http://music.163.com/song/media/outer/url?id=22707008.mp3"],
["Komorebi","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29803287.mp3","http://music.163.com/song/media/outer/url?id=29803287.mp3"],
["Righteous Path","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5101648.mp3","http://music.163.com/song/media/outer/url?id=5101648.mp3"],
["unjust life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471942.mp3","http://music.163.com/song/media/outer/url?id=471942.mp3"],
["Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443242.mp3","http://music.163.com/song/media/outer/url?id=443242.mp3"],
["Sorrow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28854135.mp3","http://music.163.com/song/media/outer/url?id=28854135.mp3"],
["樱花雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409649727.mp3","http://music.163.com/song/media/outer/url?id=409649727.mp3"],
["春よ、来い","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=511369.mp3","http://music.163.com/song/media/outer/url?id=511369.mp3"],
["宇宙の花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22789069.mp3","http://music.163.com/song/media/outer/url?id=22789069.mp3"],
["时代を超える想い2","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541131.mp3","http://music.163.com/song/media/outer/url?id=541131.mp3"],
["바람에 쓰는 편지","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5308003.mp3","http://music.163.com/song/media/outer/url?id=5308003.mp3"],
["What I Feel When I See Her","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437245125.mp3","http://music.163.com/song/media/outer/url?id=437245125.mp3"],
["青空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32717172.mp3","http://music.163.com/song/media/outer/url?id=32717172.mp3"],
["樱花樱花想见你 (钢琴版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411921579.mp3","http://music.163.com/song/media/outer/url?id=411921579.mp3"],
["恍惚交错的记忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456310390.mp3","http://music.163.com/song/media/outer/url?id=456310390.mp3"],
["春を知らせるもの~続 夏目友人帳のテーマ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541928.mp3","http://music.163.com/song/media/outer/url?id=541928.mp3"],
["樱花落","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427015079.mp3","http://music.163.com/song/media/outer/url?id=427015079.mp3"],
["永恒的回忆(杀破狼 演奏曲)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4875304.mp3","http://music.163.com/song/media/outer/url?id=4875304.mp3"],
["Silent Love (Main Theme)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25942063.mp3","http://music.163.com/song/media/outer/url?id=25942063.mp3"],
["Merry Christmas Mr. Lawrence Main Theme (From \"Merry Christmas Mr. Lawrence\")","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443070377.mp3","http://music.163.com/song/media/outer/url?id=443070377.mp3"],
["萤火之森","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444323317.mp3","http://music.163.com/song/media/outer/url?id=444323317.mp3"],
["棋魂 (钢琴版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29718566.mp3","http://music.163.com/song/media/outer/url?id=29718566.mp3"],
["言葉にできない想い","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27594398.mp3","http://music.163.com/song/media/outer/url?id=27594398.mp3"],
["Solitude","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=498210.mp3","http://music.163.com/song/media/outer/url?id=498210.mp3"],
["繁华的寂静","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=40257852.mp3","http://music.163.com/song/media/outer/url?id=40257852.mp3"],
["夏野与暗恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421934070.mp3","http://music.163.com/song/media/outer/url?id=421934070.mp3"],
["Somewhere","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5307932.mp3","http://music.163.com/song/media/outer/url?id=5307932.mp3"],
["NEXT TO YOU","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29816800.mp3","http://music.163.com/song/media/outer/url?id=29816800.mp3"],
["what for?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25731432.mp3","http://music.163.com/song/media/outer/url?id=25731432.mp3"],
["一番の宝物钢琴重制","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=458444666.mp3","http://music.163.com/song/media/outer/url?id=458444666.mp3"],
["Merry Christmas Mr.Lawrence","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22650708.mp3","http://music.163.com/song/media/outer/url?id=22650708.mp3"],
["Missing You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=539092392.mp3","http://music.163.com/song/media/outer/url?id=539092392.mp3"],
["デート2","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426881504.mp3","http://music.163.com/song/media/outer/url?id=426881504.mp3"],
["Rainbow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26212426.mp3","http://music.163.com/song/media/outer/url?id=26212426.mp3"],
["Old Memory","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477982.mp3","http://music.163.com/song/media/outer/url?id=477982.mp3"],
["my most precious treasure","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471825.mp3","http://music.163.com/song/media/outer/url?id=471825.mp3"],
["Silent Wind(Instrumental Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428046.mp3","http://music.163.com/song/media/outer/url?id=428046.mp3"],
["ロック风アレンジ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425137440.mp3","http://music.163.com/song/media/outer/url?id=425137440.mp3"],
["painful","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22731485.mp3","http://music.163.com/song/media/outer/url?id=22731485.mp3"],
["帰るべき场所","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444578.mp3","http://music.163.com/song/media/outer/url?id=444578.mp3"],
["ヨスガノソラ メインテーマ -遠い空へ-","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477913.mp3","http://music.163.com/song/media/outer/url?id=477913.mp3"],
["儚き梦を","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4956897.mp3","http://music.163.com/song/media/outer/url?id=4956897.mp3"],
["Sadness and Sorrow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1859874.mp3","http://music.163.com/song/media/outer/url?id=1859874.mp3"],
["Dearest","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22737891.mp3","http://music.163.com/song/media/outer/url?id=22737891.mp3"],
["Last Train Home ~ Twinkle Train Take Us Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27671041.mp3","http://music.163.com/song/media/outer/url?id=27671041.mp3"],
["END THEME","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528306.mp3","http://music.163.com/song/media/outer/url?id=528306.mp3"],
["優しい風が吹くあの場所で","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=478076.mp3","http://music.163.com/song/media/outer/url?id=478076.mp3"],
["Memory of the world(Inst)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32977723.mp3","http://music.163.com/song/media/outer/url?id=32977723.mp3"],
["Secret Base 未闻花名ED 钢琴改编","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=451030574.mp3","http://music.163.com/song/media/outer/url?id=451030574.mp3"],
["Palace Memories","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=818820.mp3","http://music.163.com/song/media/outer/url?id=818820.mp3"],
["For River - Piano (Johnny's Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1645112.mp3","http://music.163.com/song/media/outer/url?id=1645112.mp3"],
["My Soul,Your Beats! (Instrumental)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28699614.mp3","http://music.163.com/song/media/outer/url?id=28699614.mp3"],
["Believe Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22722861.mp3","http://music.163.com/song/media/outer/url?id=22722861.mp3"],
["あいぞめ piano version","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=532802.mp3","http://music.163.com/song/media/outer/url?id=532802.mp3"],
["遙かな年月-piano-","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22707016.mp3","http://music.163.com/song/media/outer/url?id=22707016.mp3"],
["さくらの季節","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=874229.mp3","http://music.163.com/song/media/outer/url?id=874229.mp3"],
["Let me hear (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30352983.mp3","http://music.163.com/song/media/outer/url?id=30352983.mp3"],
["同じ高みへ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22706997.mp3","http://music.163.com/song/media/outer/url?id=22706997.mp3"],
["Cry for the moon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28445796.mp3","http://music.163.com/song/media/outer/url?id=28445796.mp3"],
["友人A君を私の伴奏者に任命します","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32320424.mp3","http://music.163.com/song/media/outer/url?id=32320424.mp3"],
["this game","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428203396.mp3","http://music.163.com/song/media/outer/url?id=428203396.mp3"],
["英雄的黎明","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=393705.mp3","http://music.163.com/song/media/outer/url?id=393705.mp3"],
["君の知らない物語","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28592458.mp3","http://music.163.com/song/media/outer/url?id=28592458.mp3"],
["you","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=786262.mp3","http://music.163.com/song/media/outer/url?id=786262.mp3"],
["theme of SSS","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471799.mp3","http://music.163.com/song/media/outer/url?id=471799.mp3"],
["Reflection(Mirror night)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32358437.mp3","http://music.163.com/song/media/outer/url?id=32358437.mp3"],
["追憶ハート","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477943.mp3","http://music.163.com/song/media/outer/url?id=477943.mp3"],
["鳥の詩 ~","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=761323.mp3","http://music.163.com/song/media/outer/url?id=761323.mp3"],
["紫苑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28785041.mp3","http://music.163.com/song/media/outer/url?id=28785041.mp3"],
["葬花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=503519084.mp3","http://music.163.com/song/media/outer/url?id=503519084.mp3"],
["Greenery Rain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26465044.mp3","http://music.163.com/song/media/outer/url?id=26465044.mp3"],
["彼岸花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=532931.mp3","http://music.163.com/song/media/outer/url?id=532931.mp3"],
["レクイエム","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=583503.mp3","http://music.163.com/song/media/outer/url?id=583503.mp3"],
["夢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528297.mp3","http://music.163.com/song/media/outer/url?id=528297.mp3"],
["Memories from Days Far Away","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4055457.mp3","http://music.163.com/song/media/outer/url?id=4055457.mp3"],
["未闻花名 (口琴版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31209775.mp3","http://music.163.com/song/media/outer/url?id=31209775.mp3"],
["星の在り処 Instrumental Ver","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27599042.mp3","http://music.163.com/song/media/outer/url?id=27599042.mp3"],
["森林古堡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=40257854.mp3","http://music.163.com/song/media/outer/url?id=40257854.mp3"],
["Where are you","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=453843751.mp3","http://music.163.com/song/media/outer/url?id=453843751.mp3"],
["Another Day","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28302653.mp3","http://music.163.com/song/media/outer/url?id=28302653.mp3"],
["Luv Letter","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406232.mp3","http://music.163.com/song/media/outer/url?id=406232.mp3"],
["Everlasting Truth","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22743825.mp3","http://music.163.com/song/media/outer/url?id=22743825.mp3"],
["碎月雨中奏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=103035.mp3","http://music.163.com/song/media/outer/url?id=103035.mp3"],
["めぐる季节","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443521.mp3","http://music.163.com/song/media/outer/url?id=443521.mp3"],
["Rainy Day Reminiscence","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1993749.mp3","http://music.163.com/song/media/outer/url?id=1993749.mp3"],
["ALONE ON THE WAY","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139718.mp3","http://music.163.com/song/media/outer/url?id=139718.mp3"],
["LOVIN' YOU","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22822506.mp3","http://music.163.com/song/media/outer/url?id=22822506.mp3"],
["どれだけ希望を持ったのか","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26215043.mp3","http://music.163.com/song/media/outer/url?id=26215043.mp3"],
["River Flows in You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26237342.mp3","http://music.163.com/song/media/outer/url?id=26237342.mp3"],
["Moon Flow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22844535.mp3","http://music.163.com/song/media/outer/url?id=22844535.mp3"],
["City","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=451319227.mp3","http://music.163.com/song/media/outer/url?id=451319227.mp3"],
["A Little Story","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=857896.mp3","http://music.163.com/song/media/outer/url?id=857896.mp3"],
["Rise - Epic Music","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28283137.mp3","http://music.163.com/song/media/outer/url?id=28283137.mp3"],
["Encouragment","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1638654.mp3","http://music.163.com/song/media/outer/url?id=1638654.mp3"],
["いのちの名前","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=578090.mp3","http://music.163.com/song/media/outer/url?id=578090.mp3"],
["Flower Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22676167.mp3","http://music.163.com/song/media/outer/url?id=22676167.mp3"],
["Journey","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16846088.mp3","http://music.163.com/song/media/outer/url?id=16846088.mp3"],
["Beyond The Memory","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5307982.mp3","http://music.163.com/song/media/outer/url?id=5307982.mp3"],
["My Soul","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5308028.mp3","http://music.163.com/song/media/outer/url?id=5308028.mp3"],
["Always With Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5267808.mp3","http://music.163.com/song/media/outer/url?id=5267808.mp3"],
["拥有Masbfca (广告配乐完整版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=103301.mp3","http://music.163.com/song/media/outer/url?id=103301.mp3"],
["River Flows in You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26237342.mp3","http://music.163.com/song/media/outer/url?id=26237342.mp3"],
["安静的午后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139730.mp3","http://music.163.com/song/media/outer/url?id=139730.mp3"],
["A Little Story","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=857896.mp3","http://music.163.com/song/media/outer/url?id=857896.mp3"],
["summer v","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4346205.mp3","http://music.163.com/song/media/outer/url?id=4346205.mp3"],
["Luv Letter","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22676185.mp3","http://music.163.com/song/media/outer/url?id=22676185.mp3"],
["Mariage d'amour","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5038302.mp3","http://music.163.com/song/media/outer/url?id=5038302.mp3"],
["想い出は遠くの日々","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528284.mp3","http://music.163.com/song/media/outer/url?id=528284.mp3"],
["당신의 사랑이 늘 행복하기를...","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5293802.mp3","http://music.163.com/song/media/outer/url?id=5293802.mp3"],
["Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443242.mp3","http://music.163.com/song/media/outer/url?id=443242.mp3"],
["Night Photography","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=623451.mp3","http://music.163.com/song/media/outer/url?id=623451.mp3"],
["婚礼进行曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=180283.mp3","http://music.163.com/song/media/outer/url?id=180283.mp3"],
["星空のピアニスト","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5035861.mp3","http://music.163.com/song/media/outer/url?id=5035861.mp3"],
["月光奏鸣曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5276808.mp3","http://music.163.com/song/media/outer/url?id=5276808.mp3"],
["Love Story meets Viva La Vida","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1491212.mp3","http://music.163.com/song/media/outer/url?id=1491212.mp3"],
["Flower Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22676167.mp3","http://music.163.com/song/media/outer/url?id=22676167.mp3"],
["Una Mattina","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1648647.mp3","http://music.163.com/song/media/outer/url?id=1648647.mp3"],
["Le départ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2185855.mp3","http://music.163.com/song/media/outer/url?id=2185855.mp3"],
["Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22815068.mp3","http://music.163.com/song/media/outer/url?id=22815068.mp3"],
["In un'altra vita","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20952200.mp3","http://music.163.com/song/media/outer/url?id=20952200.mp3"],
["夜的钢琴曲四","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=149294.mp3","http://music.163.com/song/media/outer/url?id=149294.mp3"],
["Tonight I Celebrate My Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1196505.mp3","http://music.163.com/song/media/outer/url?id=1196505.mp3"],
["Secret (加长快板)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185863.mp3","http://music.163.com/song/media/outer/url?id=185863.mp3"],
["白昼之夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=116493.mp3","http://music.163.com/song/media/outer/url?id=116493.mp3"],
["涟漪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=127779.mp3","http://music.163.com/song/media/outer/url?id=127779.mp3"],
["We Have Met Before","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26592946.mp3","http://music.163.com/song/media/outer/url?id=26592946.mp3"],
["梅花落","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=153751.mp3","http://music.163.com/song/media/outer/url?id=153751.mp3"],
["Simple Gifts","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19781670.mp3","http://music.163.com/song/media/outer/url?id=19781670.mp3"],
["夜的钢琴曲五","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=149297.mp3","http://music.163.com/song/media/outer/url?id=149297.mp3"],
["The truth that you leave","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139774.mp3","http://music.163.com/song/media/outer/url?id=139774.mp3"],
["Croatian Rhapsody","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1696373.mp3","http://music.163.com/song/media/outer/url?id=1696373.mp3"],
["Through the Arbor","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1614370.mp3","http://music.163.com/song/media/outer/url?id=1614370.mp3"],
["Letting Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19934752.mp3","http://music.163.com/song/media/outer/url?id=19934752.mp3"],
["canon in d","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1091088.mp3","http://music.163.com/song/media/outer/url?id=1091088.mp3"],
["One Man's Dream","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20744853.mp3","http://music.163.com/song/media/outer/url?id=20744853.mp3"],
["My Soul","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5308028.mp3","http://music.163.com/song/media/outer/url?id=5308028.mp3"],
["Silent Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2081498.mp3","http://music.163.com/song/media/outer/url?id=2081498.mp3"],
["人生のメリーゴーランド","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=442454.mp3","http://music.163.com/song/media/outer/url?id=442454.mp3"],
["Kiss The Rain 비를 맞다","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22829933.mp3","http://music.163.com/song/media/outer/url?id=22829933.mp3"],
]
#邓紫棋
dengziqi = [
["来自天堂的魔鬼","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=36270426.mp3","http://music.163.com/song/media/outer/url?id=36270426.mp3"],
["光年之外","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=449818741.mp3","http://music.163.com/song/media/outer/url?id=449818741.mp3"],
["倒数","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1299550532.mp3","http://music.163.com/song/media/outer/url?id=1299550532.mp3"],
["我的秘密","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=233974.mp3","http://music.163.com/song/media/outer/url?id=233974.mp3"],
["再见","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=36024806.mp3","http://music.163.com/song/media/outer/url?id=36024806.mp3"],
["你不是真正的快乐 (Live)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=28341146.mp3","http://music.163.com/song/media/outer/url?id=28341146.mp3"],
["泡沫","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=26113988.mp3","http://music.163.com/song/media/outer/url?id=26113988.mp3"],
["喜欢你","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=28949444.mp3","http://music.163.com/song/media/outer/url?id=28949444.mp3"],
["多远都要在一起","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=30612793.mp3","http://music.163.com/song/media/outer/url?id=30612793.mp3"],
["手心的蔷薇","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=29848657.mp3","http://music.163.com/song/media/outer/url?id=29848657.mp3"],
["A.I.N.Y. 爱你","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=234015.mp3","http://music.163.com/song/media/outer/url?id=234015.mp3"],
["My Way (Live)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1371760071.mp3","http://music.163.com/song/media/outer/url?id=1371760071.mp3"],
["后会无期","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=28793502.mp3","http://music.163.com/song/media/outer/url?id=28793502.mp3"],
["龙卷风","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=29450548.mp3","http://music.163.com/song/media/outer/url?id=29450548.mp3"],
["漂向北方 (Live at 13th KKBOX Music Awards)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=528321355.mp3","http://music.163.com/song/media/outer/url?id=528321355.mp3"],
["桃花诺","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=480579393.mp3","http://music.163.com/song/media/outer/url?id=480579393.mp3"],
["红蔷薇白玫瑰","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=420513158.mp3","http://music.163.com/song/media/outer/url?id=420513158.mp3"],
["岩石里的花","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1331535573.mp3","http://music.163.com/song/media/outer/url?id=1331535573.mp3"],
["攀登 (Live)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1313107926.mp3","http://music.163.com/song/media/outer/url?id=1313107926.mp3"],
["热爱就一起","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1357425553.mp3","http://music.163.com/song/media/outer/url?id=1357425553.mp3"],
["你把我灌醉","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=26550057.mp3","http://music.163.com/song/media/outer/url?id=26550057.mp3"],
["那一夜","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1318284264.mp3","http://music.163.com/song/media/outer/url?id=1318284264.mp3"],
["画 (Live Piano Session II)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=412911436.mp3","http://music.163.com/song/media/outer/url?id=412911436.mp3"],
["一路逆风","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=36103237.mp3","http://music.163.com/song/media/outer/url?id=36103237.mp3"],
["盲点","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=36199531.mp3","http://music.163.com/song/media/outer/url?id=36199531.mp3"],
["心之焰","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=481535566.mp3","http://music.163.com/song/media/outer/url?id=481535566.mp3"],
["新的心跳","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=33190007.mp3","http://music.163.com/song/media/outer/url?id=33190007.mp3"],
["睡公主","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=234070.mp3","http://music.163.com/song/media/outer/url?id=234070.mp3"],
["另一个童话","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1305366734.mp3","http://music.163.com/song/media/outer/url?id=1305366734.mp3"],
["睡皇后","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1335819187.mp3","http://music.163.com/song/media/outer/url?id=1335819187.mp3"],
["于是","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=36198060.mp3","http://music.163.com/song/media/outer/url?id=36198060.mp3"],
["写不完的温柔","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=234014.mp3","http://music.163.com/song/media/outer/url?id=234014.mp3"],
["Where Did U Go","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=234064.mp3","http://music.163.com/song/media/outer/url?id=234064.mp3"],
["毒苹果","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1323304372.mp3","http://music.163.com/song/media/outer/url?id=1323304372.mp3"],
["制作人cypher (Live)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1293951024.mp3","http://music.163.com/song/media/outer/url?id=1293951024.mp3"],
["爱你A.I.N.Y.2017","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=491943346.mp3","http://music.163.com/song/media/outer/url?id=491943346.mp3"],
["回忆的沙漏","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=234023.mp3","http://music.163.com/song/media/outer/url?id=234023.mp3"],
["Victoria","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=520460023.mp3","http://music.163.com/song/media/outer/url?id=520460023.mp3"],
["蜕变 (Live)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1306507052.mp3","http://music.163.com/song/media/outer/url?id=1306507052.mp3"],
["死了都要爱 (Live)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1297743782.mp3","http://music.163.com/song/media/outer/url?id=1297743782.mp3"],
["穿越火线","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=496298011.mp3","http://music.163.com/song/media/outer/url?id=496298011.mp3"],
["情人","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=233946.mp3","http://music.163.com/song/media/outer/url?id=233946.mp3"],
["死了都要 • 爱","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=444524243.mp3","http://music.163.com/song/media/outer/url?id=444524243.mp3"],
["突然之间","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1323301365.mp3","http://music.163.com/song/media/outer/url?id=1323301365.mp3"],
["有心人","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=410518476.mp3","http://music.163.com/song/media/outer/url?id=410518476.mp3"],
["If I Were A Boy","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=28427745.mp3","http://music.163.com/song/media/outer/url?id=28427745.mp3"],
["单行的轨道","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=31234186.mp3","http://music.163.com/song/media/outer/url?id=31234186.mp3"],
["错过不错","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=1305364667.mp3","http://music.163.com/song/media/outer/url?id=1305364667.mp3"],
["是否","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=27937527.mp3","http://music.163.com/song/media/outer/url?id=27937527.mp3"],
["Mascara (烟熏妆)","昵昵网页随机搜索结果","http://music.163.com/song/media/outer/url?id=233968.mp3","http://music.163.com/song/media/outer/url?id=233968.mp3"]
]
#抖音
douyin = [
["【Sou】ハレハレヤ（朗朗晴天）（Cover：Flower）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344433793.mp3","http://music.163.com/song/media/outer/url?id=1344433793.mp3"],
["别 别 别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1373235467.mp3","http://music.163.com/song/media/outer/url?id=1373235467.mp3"],
["I'm Sorry","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372552363.mp3","http://music.163.com/song/media/outer/url?id=1372552363.mp3"],
["Lemon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536622304.mp3","http://music.163.com/song/media/outer/url?id=536622304.mp3"],
["孙方-爱情有时很残忍 (DJ版)（电音任瑶 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1348664625.mp3","http://music.163.com/song/media/outer/url?id=1348664625.mp3"],
["Lemon（Cover 米津玄师）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=545825923.mp3","http://music.163.com/song/media/outer/url?id=545825923.mp3"],
["我的名字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554241732.mp3","http://music.163.com/song/media/outer/url?id=554241732.mp3"],
["RISE","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313107065.mp3","http://music.163.com/song/media/outer/url?id=1313107065.mp3"],
["来自天堂的魔鬼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36270426.mp3","http://music.163.com/song/media/outer/url?id=36270426.mp3"],
["如果的事 (Cover：张韶涵&范玮琪)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1363078221.mp3","http://music.163.com/song/media/outer/url?id=1363078221.mp3"],
["Come and Get Your Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28864241.mp3","http://music.163.com/song/media/outer/url?id=28864241.mp3"],
["夜空中最亮的星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25706282.mp3","http://music.163.com/song/media/outer/url?id=25706282.mp3"],
["选择失忆咚鼓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1367280230.mp3","http://music.163.com/song/media/outer/url?id=1367280230.mp3"],
["Bridge of Faith","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461519911.mp3","http://music.163.com/song/media/outer/url?id=461519911.mp3"],
["Clap Snap","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34040551.mp3","http://music.163.com/song/media/outer/url?id=34040551.mp3"],
["No Roots","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444324644.mp3","http://music.163.com/song/media/outer/url?id=444324644.mp3"],
["天亮以前说再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336789644.mp3","http://music.163.com/song/media/outer/url?id=1336789644.mp3"],
["Brooks/GRX-Boomerang（Hokage Ninjia Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1340842066.mp3","http://music.163.com/song/media/outer/url?id=1340842066.mp3"],
["只是太爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111646.mp3","http://music.163.com/song/media/outer/url?id=28111646.mp3"],
["Ferrari","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=550936829.mp3","http://music.163.com/song/media/outer/url?id=550936829.mp3"],
["Monsters","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28481189.mp3","http://music.163.com/song/media/outer/url?id=28481189.mp3"],
["绿色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1345848098.mp3","http://music.163.com/song/media/outer/url?id=1345848098.mp3"],
["褶皱构造","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372370679.mp3","http://music.163.com/song/media/outer/url?id=1372370679.mp3"],
["你的酒馆对我打了烊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1341964346.mp3","http://music.163.com/song/media/outer/url?id=1341964346.mp3"],
["多想在平庸的生活拥抱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1346104327.mp3","http://music.163.com/song/media/outer/url?id=1346104327.mp3"],
["想自由（Cover：林宥嘉）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372173543.mp3","http://music.163.com/song/media/outer/url?id=1372173543.mp3"],
["假面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1338731426.mp3","http://music.163.com/song/media/outer/url?id=1338731426.mp3"],
["苏喂苏喂 (Remix)6324冲冲冲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1304754139.mp3","http://music.163.com/song/media/outer/url?id=1304754139.mp3"],
["Munchmello","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1373205653.mp3","http://music.163.com/song/media/outer/url?id=1373205653.mp3"],
["耿-《最好的我们》主题曲（Cover：汪苏泷）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1371199704.mp3","http://music.163.com/song/media/outer/url?id=1371199704.mp3"],
["心如止水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1349292048.mp3","http://music.163.com/song/media/outer/url?id=1349292048.mp3"],
["留声机 （Aceboom第五届专场主题曲）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1370179774.mp3","http://music.163.com/song/media/outer/url?id=1370179774.mp3"],
["Where Is Lily","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1355574267.mp3","http://music.163.com/song/media/outer/url?id=1355574267.mp3"],
["只只（Cover：孟凡明）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1367465048.mp3","http://music.163.com/song/media/outer/url?id=1367465048.mp3"],
["The Spectre","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=506092035.mp3","http://music.163.com/song/media/outer/url?id=506092035.mp3"],
["睡不着的夜晚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1366387062.mp3","http://music.163.com/song/media/outer/url?id=1366387062.mp3"],
["惊鸿一面（Cover：许嵩）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1370375306.mp3","http://music.163.com/song/media/outer/url?id=1370375306.mp3"],
["Nevada (feat. Cozi Zuehlsdorff)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418602088.mp3","http://music.163.com/song/media/outer/url?id=418602088.mp3"],
["丁当-猜不透（弹鼓版）（浪子康 / 豪大大 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1359156131.mp3","http://music.163.com/song/media/outer/url?id=1359156131.mp3"],
["赢在江湖（Cover：姜鹏）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1329713104.mp3","http://music.163.com/song/media/outer/url?id=1329713104.mp3"],
["OK (Ofenbach Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485960437.mp3","http://music.163.com/song/media/outer/url?id=485960437.mp3"],
["我曾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336856777.mp3","http://music.163.com/song/media/outer/url?id=1336856777.mp3"],
["心如止水（痞版）（Cover：Ice Paper）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1361366973.mp3","http://music.163.com/song/media/outer/url?id=1361366973.mp3"],
["狂浪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1331819040.mp3","http://music.163.com/song/media/outer/url?id=1331819040.mp3"],
["一曲相思 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313558186.mp3","http://music.163.com/song/media/outer/url?id=1313558186.mp3"],
["溯 (reverse)（Cover：马吟吟）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1348598387.mp3","http://music.163.com/song/media/outer/url?id=1348598387.mp3"],
["世本常态","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334327077.mp3","http://music.163.com/song/media/outer/url?id=1334327077.mp3"],
["姬和不如","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1325484613.mp3","http://music.163.com/song/media/outer/url?id=1325484613.mp3"],
["Aloha Heja He","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32337953.mp3","http://music.163.com/song/media/outer/url?id=32337953.mp3"],
["最近-王小帅（Cover：李圣杰）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1350202699.mp3","http://music.163.com/song/media/outer/url?id=1350202699.mp3"],
["黎明前的黑暗（完整版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1345312401.mp3","http://music.163.com/song/media/outer/url?id=1345312401.mp3"],
["Believer (Kaskade Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=483156032.mp3","http://music.163.com/song/media/outer/url?id=483156032.mp3"],
["Creep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485612576.mp3","http://music.163.com/song/media/outer/url?id=485612576.mp3"],
["Sanlalala（Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334199204.mp3","http://music.163.com/song/media/outer/url?id=1334199204.mp3"],
["小鹿乱撞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864100958.mp3","http://music.163.com/song/media/outer/url?id=864100958.mp3"],
["雨过之后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=362930.mp3","http://music.163.com/song/media/outer/url?id=362930.mp3"],
["浪子回头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516728102.mp3","http://music.163.com/song/media/outer/url?id=516728102.mp3"],
["Something Just Like This","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=466794339.mp3","http://music.163.com/song/media/outer/url?id=466794339.mp3"],
["琵琶行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=476513774.mp3","http://music.163.com/song/media/outer/url?id=476513774.mp3"],
["伤过的心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509106908.mp3","http://music.163.com/song/media/outer/url?id=509106908.mp3"],
["出山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313354324.mp3","http://music.163.com/song/media/outer/url?id=1313354324.mp3"],
["Counting Sheep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31081299.mp3","http://music.163.com/song/media/outer/url?id=31081299.mp3"],
["预谋（Cover：许佳慧）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1343314651.mp3","http://music.163.com/song/media/outer/url?id=1343314651.mp3"],
["当我要走的时候（合唱版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864629603.mp3","http://music.163.com/song/media/outer/url?id=864629603.mp3"],
["下坠Falling","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1328146041.mp3","http://music.163.com/song/media/outer/url?id=1328146041.mp3"],
["The cranberries-Zombie（Kapral Remix）（YahikoNy remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1309496106.mp3","http://music.163.com/song/media/outer/url?id=1309496106.mp3"],
["我还年轻 我还年轻（Cover 老王乐队）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296893537.mp3","http://music.163.com/song/media/outer/url?id=1296893537.mp3"],
["少一点天分（Cover 孙盛希）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=567999629.mp3","http://music.163.com/song/media/outer/url?id=567999629.mp3"],
["遥远的你 (正式版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1330858912.mp3","http://music.163.com/song/media/outer/url?id=1330858912.mp3"],
["月牙湾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=354352.mp3","http://music.163.com/song/media/outer/url?id=354352.mp3"],
["Siti Badriah-emang aku syantik（可有道 / Siti Badriah remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321602273.mp3","http://music.163.com/song/media/outer/url?id=1321602273.mp3"],
["可不可以给我你的微信？(抖音版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320975450.mp3","http://music.163.com/song/media/outer/url?id=1320975450.mp3"],
["Talking to the Moon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657274.mp3","http://music.163.com/song/media/outer/url?id=25657274.mp3"],
["小白兔遇上卡布奇诺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1325484566.mp3","http://music.163.com/song/media/outer/url?id=1325484566.mp3"],
["Prisionera (Rino Aqua & MD DJ Remix Radio)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=531842654.mp3","http://music.163.com/song/media/outer/url?id=531842654.mp3"],
["写给黄淮（demo）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306400549.mp3","http://music.163.com/song/media/outer/url?id=1306400549.mp3"],
["生僻字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518781004.mp3","http://music.163.com/song/media/outer/url?id=518781004.mp3"],
["giga pudding!","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313648023.mp3","http://music.163.com/song/media/outer/url?id=1313648023.mp3"],
["说书人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1303019637.mp3","http://music.163.com/song/media/outer/url?id=1303019637.mp3"],
["Sucker for You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=520525412.mp3","http://music.163.com/song/media/outer/url?id=520525412.mp3"],
["Angelina","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20953761.mp3","http://music.163.com/song/media/outer/url?id=20953761.mp3"],
["你一定要幸福 (cover 何洁)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439121995.mp3","http://music.163.com/song/media/outer/url?id=439121995.mp3"],
["小星星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165379.mp3","http://music.163.com/song/media/outer/url?id=165379.mp3"],
["if（Cover：丁可）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468688778.mp3","http://music.163.com/song/media/outer/url?id=468688778.mp3"],
["好喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320098098.mp3","http://music.163.com/song/media/outer/url?id=1320098098.mp3"],
["我的秘密","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=233974.mp3","http://music.163.com/song/media/outer/url?id=233974.mp3"],
["后来的我们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553310243.mp3","http://music.163.com/song/media/outer/url?id=553310243.mp3"],
["勿忘心安 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28427733.mp3","http://music.163.com/song/media/outer/url?id=28427733.mp3"],
["你要的全拿走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=529668356.mp3","http://music.163.com/song/media/outer/url?id=529668356.mp3"],
["心做し（Cover GUMI）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=478303470.mp3","http://music.163.com/song/media/outer/url?id=478303470.mp3"],
["请先说你好（温柔男声版）（Cover：贺一航）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1317470388.mp3","http://music.163.com/song/media/outer/url?id=1317470388.mp3"],
["东西","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1311319058.mp3","http://music.163.com/song/media/outer/url?id=1311319058.mp3"],
["年少有为","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1293886117.mp3","http://music.163.com/song/media/outer/url?id=1293886117.mp3"],
["可不可以","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553755659.mp3","http://music.163.com/song/media/outer/url?id=553755659.mp3"],
["云烟成雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=513360721.mp3","http://music.163.com/song/media/outer/url?id=513360721.mp3"],
["Legends Never Die (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=517411583.mp3","http://music.163.com/song/media/outer/url?id=517411583.mp3"],
["About","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473865426.mp3","http://music.163.com/song/media/outer/url?id=473865426.mp3"],
["请先说你好（Cover：贺一航）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313716472.mp3","http://music.163.com/song/media/outer/url?id=1313716472.mp3"],
["We Can't Stop","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29480187.mp3","http://music.163.com/song/media/outer/url?id=29480187.mp3"],
["38度6","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1300885683.mp3","http://music.163.com/song/media/outer/url?id=1300885683.mp3"],
["心安理得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474739467.mp3","http://music.163.com/song/media/outer/url?id=474739467.mp3"],
["How To Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418602116.mp3","http://music.163.com/song/media/outer/url?id=418602116.mp3"],
["倒数","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1299550532.mp3","http://music.163.com/song/media/outer/url?id=1299550532.mp3"],
["买条街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=573843002.mp3","http://music.163.com/song/media/outer/url?id=573843002.mp3"],
["Zunea-Zunea","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2308680.mp3","http://music.163.com/song/media/outer/url?id=2308680.mp3"],
["Frontier (Extended Mix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34057469.mp3","http://music.163.com/song/media/outer/url?id=34057469.mp3"],
["잼잼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473873434.mp3","http://music.163.com/song/media/outer/url?id=473873434.mp3"],
["你的前男友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1298219148.mp3","http://music.163.com/song/media/outer/url?id=1298219148.mp3"],
["Move Your Body (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=436487129.mp3","http://music.163.com/song/media/outer/url?id=436487129.mp3"],
["Flames","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=545947179.mp3","http://music.163.com/song/media/outer/url?id=545947179.mp3"],
["流浪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=863489830.mp3","http://music.163.com/song/media/outer/url?id=863489830.mp3"],
["一百万个可能","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1309814115.mp3","http://music.163.com/song/media/outer/url?id=1309814115.mp3"],
["沙漠骆驼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=486814412.mp3","http://music.163.com/song/media/outer/url?id=486814412.mp3"],
["盗将行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574566207.mp3","http://music.163.com/song/media/outer/url?id=574566207.mp3"],
["Run Free (feat. IVIE)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=500410102.mp3","http://music.163.com/song/media/outer/url?id=500410102.mp3"],
["光年之外","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=449818741.mp3","http://music.163.com/song/media/outer/url?id=449818741.mp3"],
["往后余生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=571338279.mp3","http://music.163.com/song/media/outer/url?id=571338279.mp3"],
["目不转睛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=546279760.mp3","http://music.163.com/song/media/outer/url?id=546279760.mp3"],
["Way Back Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=863046037.mp3","http://music.163.com/song/media/outer/url?id=863046037.mp3"],
["一百万个可能","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722582.mp3","http://music.163.com/song/media/outer/url?id=29722582.mp3"],
["Kattrina","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17917224.mp3","http://music.163.com/song/media/outer/url?id=17917224.mp3"],
["你就不要想起我（Cover：田馥甄）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=565402865.mp3","http://music.163.com/song/media/outer/url?id=565402865.mp3"],
["Reality","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32835377.mp3","http://music.163.com/song/media/outer/url?id=32835377.mp3"],
["最后我们没在一起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=535793433.mp3","http://music.163.com/song/media/outer/url?id=535793433.mp3"],
["可能否","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1294899563.mp3","http://music.163.com/song/media/outer/url?id=1294899563.mp3"],
["我怎么这么好看","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296558091.mp3","http://music.163.com/song/media/outer/url?id=1296558091.mp3"],
["不仅仅是喜欢（虎二版）（Cover：虎二）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864443401.mp3","http://music.163.com/song/media/outer/url?id=864443401.mp3"],
["我已经爱上你（情词尧/二郎）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296183607.mp3","http://music.163.com/song/media/outer/url?id=1296183607.mp3"],
["I love Poland（AirJordy Edit）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305425959.mp3","http://music.163.com/song/media/outer/url?id=1305425959.mp3"],
["I love poland （DjCore Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31890395.mp3","http://music.163.com/song/media/outer/url?id=31890395.mp3"],
["星球坠落 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296583188.mp3","http://music.163.com/song/media/outer/url?id=1296583188.mp3"],
["给陌生的你听 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=562594322.mp3","http://music.163.com/song/media/outer/url?id=562594322.mp3"],
["Despacito (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=472361096.mp3","http://music.163.com/song/media/outer/url?id=472361096.mp3"],
["Toca Toca (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28796621.mp3","http://music.163.com/song/media/outer/url?id=28796621.mp3"],
["爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22852057.mp3","http://music.163.com/song/media/outer/url?id=22852057.mp3"],
["可能否","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214126.mp3","http://music.163.com/song/media/outer/url?id=569214126.mp3"],
["かわいいひと","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523035967.mp3","http://music.163.com/song/media/outer/url?id=523035967.mp3"],
["Kiss Fight (Ben Phipps Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516750031.mp3","http://music.163.com/song/media/outer/url?id=516750031.mp3"],
["结尾（Prod.VietSnare）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427610313.mp3","http://music.163.com/song/media/outer/url?id=427610313.mp3"],
["Lover Boy 88","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864647456.mp3","http://music.163.com/song/media/outer/url?id=864647456.mp3"],
["Pink Champagne","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448749148.mp3","http://music.163.com/song/media/outer/url?id=448749148.mp3"],
["洗澡歌Having a Bath","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29738289.mp3","http://music.163.com/song/media/outer/url?id=29738289.mp3"],
["隔壁泰山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862101001.mp3","http://music.163.com/song/media/outer/url?id=862101001.mp3"],
["戒烟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518686034.mp3","http://music.163.com/song/media/outer/url?id=518686034.mp3"],
["Wonderful U (Demo Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406475394.mp3","http://music.163.com/song/media/outer/url?id=406475394.mp3"],
["那个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=507116418.mp3","http://music.163.com/song/media/outer/url?id=507116418.mp3"],
["喜欢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526464145.mp3","http://music.163.com/song/media/outer/url?id=526464145.mp3"],
["Black Gun (English Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=467394056.mp3","http://music.163.com/song/media/outer/url?id=467394056.mp3"],
["Me Too","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411921480.mp3","http://music.163.com/song/media/outer/url?id=411921480.mp3"],
["讲真的（Cover：曾惜）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=573577374.mp3","http://music.163.com/song/media/outer/url?id=573577374.mp3"],
["Mi Gente (Hugel Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516765174.mp3","http://music.163.com/song/media/outer/url?id=516765174.mp3"],
["往后余生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557584888.mp3","http://music.163.com/song/media/outer/url?id=557584888.mp3"],
["讲真的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30987293.mp3","http://music.163.com/song/media/outer/url?id=30987293.mp3"],
["That Girl","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=440208476.mp3","http://music.163.com/song/media/outer/url?id=440208476.mp3"],
["Send It ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426291544.mp3","http://music.163.com/song/media/outer/url?id=426291544.mp3"],
["Count on Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25714146.mp3","http://music.163.com/song/media/outer/url?id=25714146.mp3"],
["Kiat Jud Dai","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=545515443.mp3","http://music.163.com/song/media/outer/url?id=545515443.mp3"],
["Dura","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=531655610.mp3","http://music.163.com/song/media/outer/url?id=531655610.mp3"],
["Solo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557704117.mp3","http://music.163.com/song/media/outer/url?id=557704117.mp3"],
["Moshi Moshi","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509728841.mp3","http://music.163.com/song/media/outer/url?id=509728841.mp3"],
["爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=558290126.mp3","http://music.163.com/song/media/outer/url?id=558290126.mp3"],
["非酋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=489506275.mp3","http://music.163.com/song/media/outer/url?id=489506275.mp3"],
["学猫叫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554191055.mp3","http://music.163.com/song/media/outer/url?id=554191055.mp3"],
["We No Speak Americano","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5099470.mp3","http://music.163.com/song/media/outer/url?id=5099470.mp3"],
["Skin","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455653437.mp3","http://music.163.com/song/media/outer/url?id=455653437.mp3"],
["Shivers","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515601126.mp3","http://music.163.com/song/media/outer/url?id=515601126.mp3"],
["远走高飞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474567580.mp3","http://music.163.com/song/media/outer/url?id=474567580.mp3"],
["唱腔另类（Cover：子芮）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=543435315.mp3","http://music.163.com/song/media/outer/url?id=543435315.mp3"],
["HandClap","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407839677.mp3","http://music.163.com/song/media/outer/url?id=407839677.mp3"],
["纸短情长（完整版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516076896.mp3","http://music.163.com/song/media/outer/url?id=516076896.mp3"],
["说散就散","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523251118.mp3","http://music.163.com/song/media/outer/url?id=523251118.mp3"],
["可乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29759733.mp3","http://music.163.com/song/media/outer/url?id=29759733.mp3"],
["空空如也 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526464293.mp3","http://music.163.com/song/media/outer/url?id=526464293.mp3"],
["Madu Dan Racun (Remaster)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528478974.mp3","http://music.163.com/song/media/outer/url?id=528478974.mp3"],
["广东爱情故事（Cover 广东雨神）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523317122.mp3","http://music.163.com/song/media/outer/url?id=523317122.mp3"],
["成全（改版）（Cover 林宥嘉）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455543886.mp3","http://music.163.com/song/media/outer/url?id=455543886.mp3"],
["你，好不好？","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424264505.mp3","http://music.163.com/song/media/outer/url?id=424264505.mp3"],
["BINGBIAN病变 (女声版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=543607345.mp3","http://music.163.com/song/media/outer/url?id=543607345.mp3"],
["【Sou】ハレハレヤ（朗朗晴天）（Cover：Flower）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344433793.mp3","http://music.163.com/song/media/outer/url?id=1344433793.mp3"],
["别 别 别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1373235467.mp3","http://music.163.com/song/media/outer/url?id=1373235467.mp3"],
["I'm Sorry","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372552363.mp3","http://music.163.com/song/media/outer/url?id=1372552363.mp3"],
["Lemon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536622304.mp3","http://music.163.com/song/media/outer/url?id=536622304.mp3"],
["孙方-爱情有时很残忍 (DJ版)（电音任瑶 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1348664625.mp3","http://music.163.com/song/media/outer/url?id=1348664625.mp3"],
["Lemon（Cover 米津玄师）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=545825923.mp3","http://music.163.com/song/media/outer/url?id=545825923.mp3"],
["我的名字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554241732.mp3","http://music.163.com/song/media/outer/url?id=554241732.mp3"],
["RISE","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313107065.mp3","http://music.163.com/song/media/outer/url?id=1313107065.mp3"],
["来自天堂的魔鬼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36270426.mp3","http://music.163.com/song/media/outer/url?id=36270426.mp3"],
["如果的事 (Cover：张韶涵&范玮琪)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1363078221.mp3","http://music.163.com/song/media/outer/url?id=1363078221.mp3"],
["Come and Get Your Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28864241.mp3","http://music.163.com/song/media/outer/url?id=28864241.mp3"],
["夜空中最亮的星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25706282.mp3","http://music.163.com/song/media/outer/url?id=25706282.mp3"],
["选择失忆咚鼓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1367280230.mp3","http://music.163.com/song/media/outer/url?id=1367280230.mp3"],
["Bridge of Faith","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461519911.mp3","http://music.163.com/song/media/outer/url?id=461519911.mp3"],
["Clap Snap","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34040551.mp3","http://music.163.com/song/media/outer/url?id=34040551.mp3"],
["No Roots","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444324644.mp3","http://music.163.com/song/media/outer/url?id=444324644.mp3"],
["天亮以前说再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336789644.mp3","http://music.163.com/song/media/outer/url?id=1336789644.mp3"],
["Brooks/GRX-Boomerang（Hokage Ninjia Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1340842066.mp3","http://music.163.com/song/media/outer/url?id=1340842066.mp3"],
["只是太爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111646.mp3","http://music.163.com/song/media/outer/url?id=28111646.mp3"],
["Ferrari","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=550936829.mp3","http://music.163.com/song/media/outer/url?id=550936829.mp3"],
["Monsters","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28481189.mp3","http://music.163.com/song/media/outer/url?id=28481189.mp3"],
["绿色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1345848098.mp3","http://music.163.com/song/media/outer/url?id=1345848098.mp3"],
["褶皱构造","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372370679.mp3","http://music.163.com/song/media/outer/url?id=1372370679.mp3"],
["你的酒馆对我打了烊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1341964346.mp3","http://music.163.com/song/media/outer/url?id=1341964346.mp3"],
["多想在平庸的生活拥抱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1346104327.mp3","http://music.163.com/song/media/outer/url?id=1346104327.mp3"],
["想自由（Cover：林宥嘉）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1372173543.mp3","http://music.163.com/song/media/outer/url?id=1372173543.mp3"],
["假面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1338731426.mp3","http://music.163.com/song/media/outer/url?id=1338731426.mp3"],
["苏喂苏喂 (Remix)6324冲冲冲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1304754139.mp3","http://music.163.com/song/media/outer/url?id=1304754139.mp3"],
["Munchmello","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1373205653.mp3","http://music.163.com/song/media/outer/url?id=1373205653.mp3"],
["耿-《最好的我们》主题曲（Cover：汪苏泷）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1371199704.mp3","http://music.163.com/song/media/outer/url?id=1371199704.mp3"],
["心如止水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1349292048.mp3","http://music.163.com/song/media/outer/url?id=1349292048.mp3"],
["留声机 （Aceboom第五届专场主题曲）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1370179774.mp3","http://music.163.com/song/media/outer/url?id=1370179774.mp3"],
["Where Is Lily","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1355574267.mp3","http://music.163.com/song/media/outer/url?id=1355574267.mp3"],
["只只（Cover：孟凡明）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1367465048.mp3","http://music.163.com/song/media/outer/url?id=1367465048.mp3"],
["The Spectre","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=506092035.mp3","http://music.163.com/song/media/outer/url?id=506092035.mp3"],
["睡不着的夜晚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1366387062.mp3","http://music.163.com/song/media/outer/url?id=1366387062.mp3"],
["惊鸿一面（Cover：许嵩）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1370375306.mp3","http://music.163.com/song/media/outer/url?id=1370375306.mp3"],
["Nevada (feat. Cozi Zuehlsdorff)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418602088.mp3","http://music.163.com/song/media/outer/url?id=418602088.mp3"],
["丁当-猜不透（弹鼓版）（浪子康 / 豪大大 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1359156131.mp3","http://music.163.com/song/media/outer/url?id=1359156131.mp3"],
["赢在江湖（Cover：姜鹏）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1329713104.mp3","http://music.163.com/song/media/outer/url?id=1329713104.mp3"],
["OK (Ofenbach Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485960437.mp3","http://music.163.com/song/media/outer/url?id=485960437.mp3"],
["我曾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336856777.mp3","http://music.163.com/song/media/outer/url?id=1336856777.mp3"],
["心如止水（痞版）（Cover：Ice Paper）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1361366973.mp3","http://music.163.com/song/media/outer/url?id=1361366973.mp3"],
["狂浪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1331819040.mp3","http://music.163.com/song/media/outer/url?id=1331819040.mp3"],
["一曲相思 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313558186.mp3","http://music.163.com/song/media/outer/url?id=1313558186.mp3"],
["溯 (reverse)（Cover：马吟吟）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1348598387.mp3","http://music.163.com/song/media/outer/url?id=1348598387.mp3"],
["世本常态","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334327077.mp3","http://music.163.com/song/media/outer/url?id=1334327077.mp3"],
["姬和不如","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1325484613.mp3","http://music.163.com/song/media/outer/url?id=1325484613.mp3"],
["Aloha Heja He","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32337953.mp3","http://music.163.com/song/media/outer/url?id=32337953.mp3"],
["最近-王小帅（Cover：李圣杰）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1350202699.mp3","http://music.163.com/song/media/outer/url?id=1350202699.mp3"],
["黎明前的黑暗（完整版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1345312401.mp3","http://music.163.com/song/media/outer/url?id=1345312401.mp3"],
["Believer (Kaskade Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=483156032.mp3","http://music.163.com/song/media/outer/url?id=483156032.mp3"],
["Creep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485612576.mp3","http://music.163.com/song/media/outer/url?id=485612576.mp3"],
["Sanlalala（Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334199204.mp3","http://music.163.com/song/media/outer/url?id=1334199204.mp3"],
["小鹿乱撞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864100958.mp3","http://music.163.com/song/media/outer/url?id=864100958.mp3"],
["雨过之后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=362930.mp3","http://music.163.com/song/media/outer/url?id=362930.mp3"],
["浪子回头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516728102.mp3","http://music.163.com/song/media/outer/url?id=516728102.mp3"],
["Something Just Like This","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=466794339.mp3","http://music.163.com/song/media/outer/url?id=466794339.mp3"],
["琵琶行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=476513774.mp3","http://music.163.com/song/media/outer/url?id=476513774.mp3"],
["伤过的心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509106908.mp3","http://music.163.com/song/media/outer/url?id=509106908.mp3"],
["出山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313354324.mp3","http://music.163.com/song/media/outer/url?id=1313354324.mp3"],
["Counting Sheep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31081299.mp3","http://music.163.com/song/media/outer/url?id=31081299.mp3"],
["预谋（Cover：许佳慧）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1343314651.mp3","http://music.163.com/song/media/outer/url?id=1343314651.mp3"],
["当我要走的时候（合唱版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864629603.mp3","http://music.163.com/song/media/outer/url?id=864629603.mp3"],
["下坠Falling","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1328146041.mp3","http://music.163.com/song/media/outer/url?id=1328146041.mp3"],
["The cranberries-Zombie（Kapral Remix）（YahikoNy remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1309496106.mp3","http://music.163.com/song/media/outer/url?id=1309496106.mp3"],
["我还年轻 我还年轻（Cover 老王乐队）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296893537.mp3","http://music.163.com/song/media/outer/url?id=1296893537.mp3"],
["少一点天分（Cover 孙盛希）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=567999629.mp3","http://music.163.com/song/media/outer/url?id=567999629.mp3"],
["遥远的你 (正式版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1330858912.mp3","http://music.163.com/song/media/outer/url?id=1330858912.mp3"],
["月牙湾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=354352.mp3","http://music.163.com/song/media/outer/url?id=354352.mp3"],
["Siti Badriah-emang aku syantik（可有道 / Siti Badriah remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321602273.mp3","http://music.163.com/song/media/outer/url?id=1321602273.mp3"],
["可不可以给我你的微信？(抖音版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320975450.mp3","http://music.163.com/song/media/outer/url?id=1320975450.mp3"],
["Talking to the Moon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657274.mp3","http://music.163.com/song/media/outer/url?id=25657274.mp3"],
["小白兔遇上卡布奇诺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1325484566.mp3","http://music.163.com/song/media/outer/url?id=1325484566.mp3"],
["Prisionera (Rino Aqua & MD DJ Remix Radio)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=531842654.mp3","http://music.163.com/song/media/outer/url?id=531842654.mp3"],
["写给黄淮（demo）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306400549.mp3","http://music.163.com/song/media/outer/url?id=1306400549.mp3"],
["生僻字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518781004.mp3","http://music.163.com/song/media/outer/url?id=518781004.mp3"],
["giga pudding!","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313648023.mp3","http://music.163.com/song/media/outer/url?id=1313648023.mp3"],
["说书人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1303019637.mp3","http://music.163.com/song/media/outer/url?id=1303019637.mp3"],
["Sucker for You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=520525412.mp3","http://music.163.com/song/media/outer/url?id=520525412.mp3"],
["Angelina","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20953761.mp3","http://music.163.com/song/media/outer/url?id=20953761.mp3"],
["你一定要幸福 (cover 何洁)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439121995.mp3","http://music.163.com/song/media/outer/url?id=439121995.mp3"],
["小星星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165379.mp3","http://music.163.com/song/media/outer/url?id=165379.mp3"],
["if（Cover：丁可）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468688778.mp3","http://music.163.com/song/media/outer/url?id=468688778.mp3"],
["好喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320098098.mp3","http://music.163.com/song/media/outer/url?id=1320098098.mp3"],
["我的秘密","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=233974.mp3","http://music.163.com/song/media/outer/url?id=233974.mp3"],
["后来的我们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553310243.mp3","http://music.163.com/song/media/outer/url?id=553310243.mp3"],
["勿忘心安 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28427733.mp3","http://music.163.com/song/media/outer/url?id=28427733.mp3"],
["你要的全拿走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=529668356.mp3","http://music.163.com/song/media/outer/url?id=529668356.mp3"],
["心做し（Cover GUMI）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=478303470.mp3","http://music.163.com/song/media/outer/url?id=478303470.mp3"],
["请先说你好（温柔男声版）（Cover：贺一航）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1317470388.mp3","http://music.163.com/song/media/outer/url?id=1317470388.mp3"],
["东西","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1311319058.mp3","http://music.163.com/song/media/outer/url?id=1311319058.mp3"],
["年少有为","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1293886117.mp3","http://music.163.com/song/media/outer/url?id=1293886117.mp3"],
["可不可以","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553755659.mp3","http://music.163.com/song/media/outer/url?id=553755659.mp3"],
["云烟成雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=513360721.mp3","http://music.163.com/song/media/outer/url?id=513360721.mp3"],
["Legends Never Die (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=517411583.mp3","http://music.163.com/song/media/outer/url?id=517411583.mp3"],
["About","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473865426.mp3","http://music.163.com/song/media/outer/url?id=473865426.mp3"],
["请先说你好（Cover：贺一航）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313716472.mp3","http://music.163.com/song/media/outer/url?id=1313716472.mp3"],
["We Can't Stop","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29480187.mp3","http://music.163.com/song/media/outer/url?id=29480187.mp3"],
["38度6","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1300885683.mp3","http://music.163.com/song/media/outer/url?id=1300885683.mp3"],
["心安理得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474739467.mp3","http://music.163.com/song/media/outer/url?id=474739467.mp3"],
["How To Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418602116.mp3","http://music.163.com/song/media/outer/url?id=418602116.mp3"],
["倒数","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1299550532.mp3","http://music.163.com/song/media/outer/url?id=1299550532.mp3"],
["买条街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=573843002.mp3","http://music.163.com/song/media/outer/url?id=573843002.mp3"],
["Zunea-Zunea","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2308680.mp3","http://music.163.com/song/media/outer/url?id=2308680.mp3"],
["Frontier (Extended Mix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34057469.mp3","http://music.163.com/song/media/outer/url?id=34057469.mp3"],
["잼잼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473873434.mp3","http://music.163.com/song/media/outer/url?id=473873434.mp3"],
["你的前男友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1298219148.mp3","http://music.163.com/song/media/outer/url?id=1298219148.mp3"],
["Move Your Body (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=436487129.mp3","http://music.163.com/song/media/outer/url?id=436487129.mp3"],
["Flames","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=545947179.mp3","http://music.163.com/song/media/outer/url?id=545947179.mp3"],
["流浪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=863489830.mp3","http://music.163.com/song/media/outer/url?id=863489830.mp3"],
["一百万个可能","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1309814115.mp3","http://music.163.com/song/media/outer/url?id=1309814115.mp3"],
["沙漠骆驼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=486814412.mp3","http://music.163.com/song/media/outer/url?id=486814412.mp3"],
["盗将行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574566207.mp3","http://music.163.com/song/media/outer/url?id=574566207.mp3"],
["Run Free (feat. IVIE)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=500410102.mp3","http://music.163.com/song/media/outer/url?id=500410102.mp3"],
["光年之外","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=449818741.mp3","http://music.163.com/song/media/outer/url?id=449818741.mp3"],
["往后余生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=571338279.mp3","http://music.163.com/song/media/outer/url?id=571338279.mp3"],
["目不转睛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=546279760.mp3","http://music.163.com/song/media/outer/url?id=546279760.mp3"],
["Way Back Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=863046037.mp3","http://music.163.com/song/media/outer/url?id=863046037.mp3"],
["一百万个可能","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722582.mp3","http://music.163.com/song/media/outer/url?id=29722582.mp3"],
["Kattrina","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17917224.mp3","http://music.163.com/song/media/outer/url?id=17917224.mp3"],
["你就不要想起我（Cover：田馥甄）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=565402865.mp3","http://music.163.com/song/media/outer/url?id=565402865.mp3"],
["Reality","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32835377.mp3","http://music.163.com/song/media/outer/url?id=32835377.mp3"],
["最后我们没在一起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=535793433.mp3","http://music.163.com/song/media/outer/url?id=535793433.mp3"],
["可能否","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1294899563.mp3","http://music.163.com/song/media/outer/url?id=1294899563.mp3"],
["我怎么这么好看","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296558091.mp3","http://music.163.com/song/media/outer/url?id=1296558091.mp3"],
["不仅仅是喜欢（虎二版）（Cover：虎二）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864443401.mp3","http://music.163.com/song/media/outer/url?id=864443401.mp3"],
["我已经爱上你（情词尧/二郎）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296183607.mp3","http://music.163.com/song/media/outer/url?id=1296183607.mp3"],
["I love Poland（AirJordy Edit）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305425959.mp3","http://music.163.com/song/media/outer/url?id=1305425959.mp3"],
["I love poland （DjCore Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31890395.mp3","http://music.163.com/song/media/outer/url?id=31890395.mp3"],
["星球坠落 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1296583188.mp3","http://music.163.com/song/media/outer/url?id=1296583188.mp3"],
["给陌生的你听 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=562594322.mp3","http://music.163.com/song/media/outer/url?id=562594322.mp3"],
["Despacito (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=472361096.mp3","http://music.163.com/song/media/outer/url?id=472361096.mp3"],
["Toca Toca (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28796621.mp3","http://music.163.com/song/media/outer/url?id=28796621.mp3"],
["爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22852057.mp3","http://music.163.com/song/media/outer/url?id=22852057.mp3"],
["可能否","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214126.mp3","http://music.163.com/song/media/outer/url?id=569214126.mp3"],
["かわいいひと","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523035967.mp3","http://music.163.com/song/media/outer/url?id=523035967.mp3"],
["Kiss Fight (Ben Phipps Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516750031.mp3","http://music.163.com/song/media/outer/url?id=516750031.mp3"],
["结尾（Prod.VietSnare）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427610313.mp3","http://music.163.com/song/media/outer/url?id=427610313.mp3"],
["Lover Boy 88","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=864647456.mp3","http://music.163.com/song/media/outer/url?id=864647456.mp3"],
["Pink Champagne","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448749148.mp3","http://music.163.com/song/media/outer/url?id=448749148.mp3"],
["洗澡歌Having a Bath","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29738289.mp3","http://music.163.com/song/media/outer/url?id=29738289.mp3"],
["隔壁泰山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862101001.mp3","http://music.163.com/song/media/outer/url?id=862101001.mp3"],
["戒烟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518686034.mp3","http://music.163.com/song/media/outer/url?id=518686034.mp3"],
["Wonderful U (Demo Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406475394.mp3","http://music.163.com/song/media/outer/url?id=406475394.mp3"],
["那个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=507116418.mp3","http://music.163.com/song/media/outer/url?id=507116418.mp3"],
["喜欢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526464145.mp3","http://music.163.com/song/media/outer/url?id=526464145.mp3"],
["Black Gun (English Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=467394056.mp3","http://music.163.com/song/media/outer/url?id=467394056.mp3"],
["Me Too","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411921480.mp3","http://music.163.com/song/media/outer/url?id=411921480.mp3"],
["讲真的（Cover：曾惜）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=573577374.mp3","http://music.163.com/song/media/outer/url?id=573577374.mp3"],
["Mi Gente (Hugel Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516765174.mp3","http://music.163.com/song/media/outer/url?id=516765174.mp3"],
["往后余生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557584888.mp3","http://music.163.com/song/media/outer/url?id=557584888.mp3"],
["讲真的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30987293.mp3","http://music.163.com/song/media/outer/url?id=30987293.mp3"],
["That Girl","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=440208476.mp3","http://music.163.com/song/media/outer/url?id=440208476.mp3"],
["Send It ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426291544.mp3","http://music.163.com/song/media/outer/url?id=426291544.mp3"],
["Count on Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25714146.mp3","http://music.163.com/song/media/outer/url?id=25714146.mp3"],
["Kiat Jud Dai","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=545515443.mp3","http://music.163.com/song/media/outer/url?id=545515443.mp3"],
["Dura","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=531655610.mp3","http://music.163.com/song/media/outer/url?id=531655610.mp3"],
["Solo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557704117.mp3","http://music.163.com/song/media/outer/url?id=557704117.mp3"],
["Moshi Moshi","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509728841.mp3","http://music.163.com/song/media/outer/url?id=509728841.mp3"],
["爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=558290126.mp3","http://music.163.com/song/media/outer/url?id=558290126.mp3"],
["非酋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=489506275.mp3","http://music.163.com/song/media/outer/url?id=489506275.mp3"],
["学猫叫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554191055.mp3","http://music.163.com/song/media/outer/url?id=554191055.mp3"],
["We No Speak Americano","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5099470.mp3","http://music.163.com/song/media/outer/url?id=5099470.mp3"],
["Skin","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455653437.mp3","http://music.163.com/song/media/outer/url?id=455653437.mp3"],
["Shivers","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515601126.mp3","http://music.163.com/song/media/outer/url?id=515601126.mp3"],
["远走高飞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474567580.mp3","http://music.163.com/song/media/outer/url?id=474567580.mp3"],
["唱腔另类（Cover：子芮）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=543435315.mp3","http://music.163.com/song/media/outer/url?id=543435315.mp3"],
["HandClap","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407839677.mp3","http://music.163.com/song/media/outer/url?id=407839677.mp3"],
["纸短情长（完整版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516076896.mp3","http://music.163.com/song/media/outer/url?id=516076896.mp3"],
["说散就散","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523251118.mp3","http://music.163.com/song/media/outer/url?id=523251118.mp3"],
["可乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29759733.mp3","http://music.163.com/song/media/outer/url?id=29759733.mp3"],
["空空如也 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526464293.mp3","http://music.163.com/song/media/outer/url?id=526464293.mp3"],
["Madu Dan Racun (Remaster)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528478974.mp3","http://music.163.com/song/media/outer/url?id=528478974.mp3"],
["广东爱情故事（Cover 广东雨神）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523317122.mp3","http://music.163.com/song/media/outer/url?id=523317122.mp3"],
["成全（改版）（Cover 林宥嘉）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455543886.mp3","http://music.163.com/song/media/outer/url?id=455543886.mp3"],
["你，好不好？","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424264505.mp3","http://music.163.com/song/media/outer/url?id=424264505.mp3"],
["BINGBIAN病变 (女声版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=543607345.mp3","http://music.163.com/song/media/outer/url?id=543607345.mp3"]
]
#古风
gufeng = [
["浮生未歇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=184557.mp3","http://music.163.com/song/media/outer/url?id=184557.mp3"],
["心上秋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28765210.mp3","http://music.163.com/song/media/outer/url?id=28765210.mp3"],
["参商(纯歌版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29719651.mp3","http://music.163.com/song/media/outer/url?id=29719651.mp3"],
["春意远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33075133.mp3","http://music.163.com/song/media/outer/url?id=33075133.mp3"],
["酩酊语 其三 棠红棣雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27908082.mp3","http://music.163.com/song/media/outer/url?id=27908082.mp3"],
["月华沉梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31165512.mp3","http://music.163.com/song/media/outer/url?id=31165512.mp3"],
["风月令（《叶羽千华》专辑收录曲01）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=469486395.mp3","http://music.163.com/song/media/outer/url?id=469486395.mp3"],
["王源生贺-浮木（Cover：Elisa）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=440240234.mp3","http://music.163.com/song/media/outer/url?id=440240234.mp3"],
["不负时光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460515000.mp3","http://music.163.com/song/media/outer/url?id=460515000.mp3"],
["佛秀·皈依","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28308561.mp3","http://music.163.com/song/media/outer/url?id=28308561.mp3"],
["山河勿念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434923230.mp3","http://music.163.com/song/media/outer/url?id=434923230.mp3"],
["刹那芳华曲(圆满版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=315581.mp3","http://music.163.com/song/media/outer/url?id=315581.mp3"],
["紫红","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877416.mp3","http://music.163.com/song/media/outer/url?id=31877416.mp3"],
["陶然四季","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771932.mp3","http://music.163.com/song/media/outer/url?id=29771932.mp3"],
["百家姓（纯歌版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473483460.mp3","http://music.163.com/song/media/outer/url?id=473483460.mp3"],
["白梅旧盏（唱给我最爱的予词）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=423015039.mp3","http://music.163.com/song/media/outer/url?id=423015039.mp3"],
["女魃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=40249272.mp3","http://music.163.com/song/media/outer/url?id=40249272.mp3"],
["归园田居","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439646488.mp3","http://music.163.com/song/media/outer/url?id=439646488.mp3"],
["岁月旧曾谙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=491344274.mp3","http://music.163.com/song/media/outer/url?id=491344274.mp3"],
["当战——剑网3竞技大师赛·官方宣传曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=481028571.mp3","http://music.163.com/song/media/outer/url?id=481028571.mp3"],
["寄妻书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33414388.mp3","http://music.163.com/song/media/outer/url?id=33414388.mp3"],
["一身诗意千寻瀑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28798308.mp3","http://music.163.com/song/media/outer/url?id=28798308.mp3"],
["流云已谢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28315291.mp3","http://music.163.com/song/media/outer/url?id=28315291.mp3"],
["剑心(藏剑)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188380.mp3","http://music.163.com/song/media/outer/url?id=28188380.mp3"],
["杏花弦外雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32957012.mp3","http://music.163.com/song/media/outer/url?id=32957012.mp3"],
["瀘沽寻梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188425.mp3","http://music.163.com/song/media/outer/url?id=28188425.mp3"],
["花间辞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29593816.mp3","http://music.163.com/song/media/outer/url?id=29593816.mp3"],
["霜雪千年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36496389.mp3","http://music.163.com/song/media/outer/url?id=36496389.mp3"],
["蛊梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29715402.mp3","http://music.163.com/song/media/outer/url?id=29715402.mp3"],
["【取经计划·原创】新·九九八十一（官方优化版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=498942717.mp3","http://music.163.com/song/media/outer/url?id=498942717.mp3"],
["摆渡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468546961.mp3","http://music.163.com/song/media/outer/url?id=468546961.mp3"],
["梨花泽泽远山远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=466862422.mp3","http://music.163.com/song/media/outer/url?id=466862422.mp3"],
["山河晴昼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=501556976.mp3","http://music.163.com/song/media/outer/url?id=501556976.mp3"],
["云归处","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448917682.mp3","http://music.163.com/song/media/outer/url?id=448917682.mp3"],
["明月天涯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=416388799.mp3","http://music.163.com/song/media/outer/url?id=416388799.mp3"],
["盲眼画师","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455426786.mp3","http://music.163.com/song/media/outer/url?id=455426786.mp3"],
["湖心亭（纯歌版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34218977.mp3","http://music.163.com/song/media/outer/url?id=34218977.mp3"],
["杀业","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=500185308.mp3","http://music.163.com/song/media/outer/url?id=500185308.mp3"],
["醉花阴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425100728.mp3","http://music.163.com/song/media/outer/url?id=425100728.mp3"],
["红昭愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=452986458.mp3","http://music.163.com/song/media/outer/url?id=452986458.mp3"],
["铃舟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=462686463.mp3","http://music.163.com/song/media/outer/url?id=462686463.mp3"],
["梦太晚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=446936996.mp3","http://music.163.com/song/media/outer/url?id=446936996.mp3"],
["缺席","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31563087.mp3","http://music.163.com/song/media/outer/url?id=31563087.mp3"],
["遇萤（橙光游戏《遇龙》主题曲）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=37782740.mp3","http://music.163.com/song/media/outer/url?id=37782740.mp3"],
["杳杳 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432509349.mp3","http://music.163.com/song/media/outer/url?id=432509349.mp3"],
["郭嘉·祭酒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=435996821.mp3","http://music.163.com/song/media/outer/url?id=435996821.mp3"],
["「将进酒」","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=450236237.mp3","http://music.163.com/song/media/outer/url?id=450236237.mp3"],
["故时月色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28568211.mp3","http://music.163.com/song/media/outer/url?id=28568211.mp3"],
["闻说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=184400.mp3","http://music.163.com/song/media/outer/url?id=184400.mp3"],
["君心剑意(藏剑)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35617506.mp3","http://music.163.com/song/media/outer/url?id=35617506.mp3"],
["京物语","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28528322.mp3","http://music.163.com/song/media/outer/url?id=28528322.mp3"],
["夜雨陈酒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460628743.mp3","http://music.163.com/song/media/outer/url?id=460628743.mp3"],
["封疆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=81391.mp3","http://music.163.com/song/media/outer/url?id=81391.mp3"],
["悟空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29769321.mp3","http://music.163.com/song/media/outer/url?id=29769321.mp3"],
["何必诗债换酒钱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=464983144.mp3","http://music.163.com/song/media/outer/url?id=464983144.mp3"],
["遇蛇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28854586.mp3","http://music.163.com/song/media/outer/url?id=28854586.mp3"],
["云荒.只如初见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=233691.mp3","http://music.163.com/song/media/outer/url?id=233691.mp3"],
["礼仪之邦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33891487.mp3","http://music.163.com/song/media/outer/url?id=33891487.mp3"],
["白衣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101118.mp3","http://music.163.com/song/media/outer/url?id=101118.mp3"],
["旅途·故乡（Cover VOCALOID）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28853524.mp3","http://music.163.com/song/media/outer/url?id=28853524.mp3"],
["戏中人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34516448.mp3","http://music.163.com/song/media/outer/url?id=34516448.mp3"],
["临水照花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32408270.mp3","http://music.163.com/song/media/outer/url?id=32408270.mp3"],
["对黄昏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188384.mp3","http://music.163.com/song/media/outer/url?id=28188384.mp3"],
["有情江上月【七周年之二】","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461155479.mp3","http://music.163.com/song/media/outer/url?id=461155479.mp3"],
["隔世信(七秀&少林)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35847523.mp3","http://music.163.com/song/media/outer/url?id=35847523.mp3"],
["茶女","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=366007.mp3","http://music.163.com/song/media/outer/url?id=366007.mp3"],
["月出","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36117196.mp3","http://music.163.com/song/media/outer/url?id=36117196.mp3"],
["三苦生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=459962490.mp3","http://music.163.com/song/media/outer/url?id=459962490.mp3"],
["隔烟水（Cover 晃儿）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=472385776.mp3","http://music.163.com/song/media/outer/url?id=472385776.mp3"],
["元狩骠骑—记霍去病","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=450433577.mp3","http://music.163.com/song/media/outer/url?id=450433577.mp3"],
["担风袖月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=433103629.mp3","http://music.163.com/song/media/outer/url?id=433103629.mp3"],
["好梦如旧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28546248.mp3","http://music.163.com/song/media/outer/url?id=28546248.mp3"],
["解语花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326547.mp3","http://music.163.com/song/media/outer/url?id=326547.mp3"],
["寒衣调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101138.mp3","http://music.163.com/song/media/outer/url?id=101138.mp3"],
["命悬一线","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101116.mp3","http://music.163.com/song/media/outer/url?id=101116.mp3"],
["宿命","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=293407.mp3","http://music.163.com/song/media/outer/url?id=293407.mp3"],
["并辔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29049509.mp3","http://music.163.com/song/media/outer/url?id=29049509.mp3"],
["等春来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443622548.mp3","http://music.163.com/song/media/outer/url?id=443622548.mp3"],
["生如逆旅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34381462.mp3","http://music.163.com/song/media/outer/url?id=34381462.mp3"],
["清欢年岁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=500885418.mp3","http://music.163.com/song/media/outer/url?id=500885418.mp3"],
["空待(独唱版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34923178.mp3","http://music.163.com/song/media/outer/url?id=34923178.mp3"],
["风起天阑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101106.mp3","http://music.163.com/song/media/outer/url?id=101106.mp3"],
["媚声","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27906101.mp3","http://music.163.com/song/media/outer/url?id=27906101.mp3"],
["阖眸烟云","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31062971.mp3","http://music.163.com/song/media/outer/url?id=31062971.mp3"],
["大唐游仙记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413834183.mp3","http://music.163.com/song/media/outer/url?id=413834183.mp3"],
["红尘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=175576.mp3","http://music.163.com/song/media/outer/url?id=175576.mp3"],
["独孤云飞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413074375.mp3","http://music.163.com/song/media/outer/url?id=413074375.mp3"],
["天命风流","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27506267.mp3","http://music.163.com/song/media/outer/url?id=27506267.mp3"],
["青龙永夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485383515.mp3","http://music.163.com/song/media/outer/url?id=485383515.mp3"],
["韶华未既（Cover 洛天依 / 乐正绫）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=410042097.mp3","http://music.163.com/song/media/outer/url?id=410042097.mp3"],
["水龙吟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29812320.mp3","http://music.163.com/song/media/outer/url?id=29812320.mp3"],
["忆江南","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=420401986.mp3","http://music.163.com/song/media/outer/url?id=420401986.mp3"],
["九张机","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=488256319.mp3","http://music.163.com/song/media/outer/url?id=488256319.mp3"],
["西窗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29393563.mp3","http://music.163.com/song/media/outer/url?id=29393563.mp3"],
["拜无忧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468007598.mp3","http://music.163.com/song/media/outer/url?id=468007598.mp3"],
["侠予","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=415085907.mp3","http://music.163.com/song/media/outer/url?id=415085907.mp3"],
["洒拓歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188430.mp3","http://music.163.com/song/media/outer/url?id=28188430.mp3"],
["醒世文章","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=462478986.mp3","http://music.163.com/song/media/outer/url?id=462478986.mp3"],
["诗与岁月同歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36471270.mp3","http://music.163.com/song/media/outer/url?id=36471270.mp3"],
["水墨的音色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=228021.mp3","http://music.163.com/song/media/outer/url?id=228021.mp3"],
["不见有情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=496617470.mp3","http://music.163.com/song/media/outer/url?id=496617470.mp3"],
["涉川","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482933652.mp3","http://music.163.com/song/media/outer/url?id=482933652.mp3"],
["我有我爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421885447.mp3","http://music.163.com/song/media/outer/url?id=421885447.mp3"],
["幸逢遇你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424496875.mp3","http://music.163.com/song/media/outer/url?id=424496875.mp3"],
["幸会记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=496571586.mp3","http://music.163.com/song/media/outer/url?id=496571586.mp3"],
["北风行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27566182.mp3","http://music.163.com/song/media/outer/url?id=27566182.mp3"],
["山外小楼夜听雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=405597568.mp3","http://music.163.com/song/media/outer/url?id=405597568.mp3"],
["青丝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30500857.mp3","http://music.163.com/song/media/outer/url?id=30500857.mp3"],
["典狱司","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=422790454.mp3","http://music.163.com/song/media/outer/url?id=422790454.mp3"],
["佛说2","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28996876.mp3","http://music.163.com/song/media/outer/url?id=28996876.mp3"],
["半壶纱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28793140.mp3","http://music.163.com/song/media/outer/url?id=28793140.mp3"],
["山河永慕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571861.mp3","http://music.163.com/song/media/outer/url?id=27571861.mp3"],
["戏言","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28793806.mp3","http://music.163.com/song/media/outer/url?id=28793806.mp3"],
["有敌相惜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29535921.mp3","http://music.163.com/song/media/outer/url?id=29535921.mp3"],
["山鬼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28496172.mp3","http://music.163.com/song/media/outer/url?id=28496172.mp3"],
["落梅笺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188433.mp3","http://music.163.com/song/media/outer/url?id=28188433.mp3"],
["第三十八年夏至","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101126.mp3","http://music.163.com/song/media/outer/url?id=101126.mp3"],
["天涯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=446945018.mp3","http://music.163.com/song/media/outer/url?id=446945018.mp3"],
["一任旧风华","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=476650009.mp3","http://music.163.com/song/media/outer/url?id=476650009.mp3"],
["昔言","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28765209.mp3","http://music.163.com/song/media/outer/url?id=28765209.mp3"],
["剑三群像·江湖意","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28285725.mp3","http://music.163.com/song/media/outer/url?id=28285725.mp3"],
["笔墨千年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465921477.mp3","http://music.163.com/song/media/outer/url?id=465921477.mp3"],
["红梅白雪知","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413829629.mp3","http://music.163.com/song/media/outer/url?id=413829629.mp3"],
["忽如远行客","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28912026.mp3","http://music.163.com/song/media/outer/url?id=28912026.mp3"],
["大唐玄怪来谒（2015 Ver /人声本家）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411754401.mp3","http://music.163.com/song/media/outer/url?id=411754401.mp3"],
["琴师","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=184467.mp3","http://music.163.com/song/media/outer/url?id=184467.mp3"],
["如梦曾梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771072.mp3","http://music.163.com/song/media/outer/url?id=29771072.mp3"],
["裁梦为魂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=489092574.mp3","http://music.163.com/song/media/outer/url?id=489092574.mp3"],
["故梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26830570.mp3","http://music.163.com/song/media/outer/url?id=26830570.mp3"],
["不见长安","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101109.mp3","http://music.163.com/song/media/outer/url?id=101109.mp3"],
["谁将平生葬倾城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28747902.mp3","http://music.163.com/song/media/outer/url?id=28747902.mp3"],
["芳华旧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35678461.mp3","http://music.163.com/song/media/outer/url?id=35678461.mp3"],
["步戏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=470774529.mp3","http://music.163.com/song/media/outer/url?id=470774529.mp3"],
["湖光水色调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28274794.mp3","http://music.163.com/song/media/outer/url?id=28274794.mp3"],
["霁夜茶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188385.mp3","http://music.163.com/song/media/outer/url?id=28188385.mp3"],
["梦望断","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771185.mp3","http://music.163.com/song/media/outer/url?id=29771185.mp3"],
["赴鸿门","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=487628853.mp3","http://music.163.com/song/media/outer/url?id=487628853.mp3"],
["倾尽天下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571867.mp3","http://music.163.com/song/media/outer/url?id=27571867.mp3"],
["笔底知交","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=467390242.mp3","http://music.163.com/song/media/outer/url?id=467390242.mp3"],
["生死江湖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=492103545.mp3","http://music.163.com/song/media/outer/url?id=492103545.mp3"],
["前尘幻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31165548.mp3","http://music.163.com/song/media/outer/url?id=31165548.mp3"],
["浮生辞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188428.mp3","http://music.163.com/song/media/outer/url?id=28188428.mp3"],
["谢却荼蘼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=493285796.mp3","http://music.163.com/song/media/outer/url?id=493285796.mp3"],
["江湖识君","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=495245763.mp3","http://music.163.com/song/media/outer/url?id=495245763.mp3"],
["露中生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=496413613.mp3","http://music.163.com/song/media/outer/url?id=496413613.mp3"],
["【魔道祖师】同道殊途（纯歌版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=450451866.mp3","http://music.163.com/song/media/outer/url?id=450451866.mp3"],
["石楠小札","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29005132.mp3","http://music.163.com/song/media/outer/url?id=29005132.mp3"],
["采薇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=239562.mp3","http://music.163.com/song/media/outer/url?id=239562.mp3"],
["长生诀","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=462391069.mp3","http://music.163.com/song/media/outer/url?id=462391069.mp3"],
["是月流光（Cover：小义学长 / 慕寒）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432464860.mp3","http://music.163.com/song/media/outer/url?id=432464860.mp3"],
["腐草为萤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188426.mp3","http://music.163.com/song/media/outer/url?id=28188426.mp3"],
["上邪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188382.mp3","http://music.163.com/song/media/outer/url?id=28188382.mp3"],
["山有木兮-橙光《人鱼传说之长生烛》主题曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425100599.mp3","http://music.163.com/song/media/outer/url?id=425100599.mp3"],
["不老梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421137682.mp3","http://music.163.com/song/media/outer/url?id=421137682.mp3"],
["锦鲤抄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28138493.mp3","http://music.163.com/song/media/outer/url?id=28138493.mp3"],
["半生时光 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31654951.mp3","http://music.163.com/song/media/outer/url?id=31654951.mp3"],
["何处似樽前[重新编曲版]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26902466.mp3","http://music.163.com/song/media/outer/url?id=26902466.mp3"],
["少年弦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=470790890.mp3","http://music.163.com/song/media/outer/url?id=470790890.mp3"],
["不负相负（Cover 原曲 / 地尽头）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482994058.mp3","http://music.163.com/song/media/outer/url?id=482994058.mp3"],
["江山雪(纯阳)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29747554.mp3","http://music.163.com/song/media/outer/url?id=29747554.mp3"],
["徽墨说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426224211.mp3","http://music.163.com/song/media/outer/url?id=426224211.mp3"],
["风月无边","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=449117386.mp3","http://music.163.com/song/media/outer/url?id=449117386.mp3"],
["若我英年早逝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771409.mp3","http://music.163.com/song/media/outer/url?id=29771409.mp3"],
["茶道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=293392.mp3","http://music.163.com/song/media/outer/url?id=293392.mp3"],
["剪蝶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474747813.mp3","http://music.163.com/song/media/outer/url?id=474747813.mp3"],
["行者万里（记《大圣归来》）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434070751.mp3","http://music.163.com/song/media/outer/url?id=434070751.mp3"],
["南柯梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36080126.mp3","http://music.163.com/song/media/outer/url?id=36080126.mp3"],
["风花雪月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32174251.mp3","http://music.163.com/song/media/outer/url?id=32174251.mp3"],
["落尘寰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=279647.mp3","http://music.163.com/song/media/outer/url?id=279647.mp3"],
["花间事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29572769.mp3","http://music.163.com/song/media/outer/url?id=29572769.mp3"],
["思远道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455543807.mp3","http://music.163.com/song/media/outer/url?id=455543807.mp3"],
["烟笼长安","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28660513.mp3","http://music.163.com/song/media/outer/url?id=28660513.mp3"],
["棠梨煎雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188427.mp3","http://music.163.com/song/media/outer/url?id=28188427.mp3"],
["归途 (纯歌版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33111754.mp3","http://music.163.com/song/media/outer/url?id=33111754.mp3"],
["妻书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27501309.mp3","http://music.163.com/song/media/outer/url?id=27501309.mp3"],
["谁与无疆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465745295.mp3","http://music.163.com/song/media/outer/url?id=465745295.mp3"],
["我的一个道姑朋友（cover タイナカ 彩智）（Cover Lon）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437250607.mp3","http://music.163.com/song/media/outer/url?id=437250607.mp3"],
["逐浪飞花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35566989.mp3","http://music.163.com/song/media/outer/url?id=35566989.mp3"],
["十年一晌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=494152135.mp3","http://music.163.com/song/media/outer/url?id=494152135.mp3"],
["爱殇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28315295.mp3","http://music.163.com/song/media/outer/url?id=28315295.mp3"],
["落霞云归","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34380993.mp3","http://music.163.com/song/media/outer/url?id=34380993.mp3"],
["息兮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29401512.mp3","http://music.163.com/song/media/outer/url?id=29401512.mp3"],
["非鱼(少林&纯阳)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27928580.mp3","http://music.163.com/song/media/outer/url?id=27928580.mp3"],
["眉间雪(纯歌版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29572089.mp3","http://music.163.com/song/media/outer/url?id=29572089.mp3"],
["醉卧红尘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28977964.mp3","http://music.163.com/song/media/outer/url?id=28977964.mp3"],
["万神纪（人声本家·正式版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=459555084.mp3","http://music.163.com/song/media/outer/url?id=459555084.mp3"],
["离骚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=481495239.mp3","http://music.163.com/song/media/outer/url?id=481495239.mp3"],
["韶华不为少年留","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=490350573.mp3","http://music.163.com/song/media/outer/url?id=490350573.mp3"],
["牵丝戏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30352891.mp3","http://music.163.com/song/media/outer/url?id=30352891.mp3"],
["千秋此意","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413829631.mp3","http://music.163.com/song/media/outer/url?id=413829631.mp3"],
["白石溪（Cover 洛天依 / 乐正凌）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430787181.mp3","http://music.163.com/song/media/outer/url?id=430787181.mp3"],
["小城谣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34017157.mp3","http://music.163.com/song/media/outer/url?id=34017157.mp3"],
["寸缕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28453011.mp3","http://music.163.com/song/media/outer/url?id=28453011.mp3"],
["闻说笔端有风月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31517413.mp3","http://music.163.com/song/media/outer/url?id=31517413.mp3"],
["莛瀛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29786391.mp3","http://music.163.com/song/media/outer/url?id=29786391.mp3"],
["谓风【双笙&流仙】","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477803343.mp3","http://music.163.com/song/media/outer/url?id=477803343.mp3"],
["白衣渡我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28864001.mp3","http://music.163.com/song/media/outer/url?id=28864001.mp3"],
["【剑网3】禅心通明(七秀&少林)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31165523.mp3","http://music.163.com/song/media/outer/url?id=31165523.mp3"],
["不谓侠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475530855.mp3","http://music.163.com/song/media/outer/url?id=475530855.mp3"],
["松烟入墨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28765208.mp3","http://music.163.com/song/media/outer/url?id=28765208.mp3"],
["长相忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32922133.mp3","http://music.163.com/song/media/outer/url?id=32922133.mp3"],
["少年熬至老","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426343016.mp3","http://music.163.com/song/media/outer/url?id=426343016.mp3"],
["盛世回首","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32807019.mp3","http://music.163.com/song/media/outer/url?id=32807019.mp3"],
["东风志","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=429459016.mp3","http://music.163.com/song/media/outer/url?id=429459016.mp3"],
["缘生意转","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29811186.mp3","http://music.163.com/song/media/outer/url?id=29811186.mp3"],
["孤山不孤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31445918.mp3","http://music.163.com/song/media/outer/url?id=31445918.mp3"],
["清平误","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=469744799.mp3","http://music.163.com/song/media/outer/url?id=469744799.mp3"],
["贺新婚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28577127.mp3","http://music.163.com/song/media/outer/url?id=28577127.mp3"],
["诺言老","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165842.mp3","http://music.163.com/song/media/outer/url?id=165842.mp3"],
["姻缘结","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=423776165.mp3","http://music.163.com/song/media/outer/url?id=423776165.mp3"],
["胭脂妆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465593781.mp3","http://music.163.com/song/media/outer/url?id=465593781.mp3"],
["绾青丝 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32432321.mp3","http://music.163.com/song/media/outer/url?id=32432321.mp3"],
["白头吟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=239560.mp3","http://music.163.com/song/media/outer/url?id=239560.mp3"],
["眉心妆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=519088211.mp3","http://music.163.com/song/media/outer/url?id=519088211.mp3"],
["衷情诉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=486914412.mp3","http://music.163.com/song/media/outer/url?id=486914412.mp3"],
["鹊桥会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1302104770.mp3","http://music.163.com/song/media/outer/url?id=1302104770.mp3"],
["风筝误","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32785674.mp3","http://music.163.com/song/media/outer/url?id=32785674.mp3"],
["落花情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456456745.mp3","http://music.163.com/song/media/outer/url?id=456456745.mp3"],
["贺新谣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456512459.mp3","http://music.163.com/song/media/outer/url?id=456512459.mp3"],
["蝶恋花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=325145.mp3","http://music.163.com/song/media/outer/url?id=325145.mp3"],
["舞霓裳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536923317.mp3","http://music.163.com/song/media/outer/url?id=536923317.mp3"],
["鼓与花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28957362.mp3","http://music.163.com/song/media/outer/url?id=28957362.mp3"],
["画堂春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29095094.mp3","http://music.163.com/song/media/outer/url?id=29095094.mp3"],
["玉满堂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25873226.mp3","http://music.163.com/song/media/outer/url?id=25873226.mp3"],
["丹青客","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29378587.mp3","http://music.163.com/song/media/outer/url?id=29378587.mp3"],
["桃花诺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=480579393.mp3","http://music.163.com/song/media/outer/url?id=480579393.mp3"],
["红昭愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=452986458.mp3","http://music.163.com/song/media/outer/url?id=452986458.mp3"],
["油纸伞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448812017.mp3","http://music.163.com/song/media/outer/url?id=448812017.mp3"],
["花灯游","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34200949.mp3","http://music.163.com/song/media/outer/url?id=34200949.mp3"],
["双人行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523504090.mp3","http://music.163.com/song/media/outer/url?id=523504090.mp3"],
["双世缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=525572518.mp3","http://music.163.com/song/media/outer/url?id=525572518.mp3"],
["越人歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32196004.mp3","http://music.163.com/song/media/outer/url?id=32196004.mp3"],
["忆江南","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=420401986.mp3","http://music.163.com/song/media/outer/url?id=420401986.mp3"],
["明月舟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413830481.mp3","http://music.163.com/song/media/outer/url?id=413830481.mp3"],
["小城谣（Cover 胡碧乔）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411356221.mp3","http://music.163.com/song/media/outer/url?id=411356221.mp3"],
["半生缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=479522279.mp3","http://music.163.com/song/media/outer/url?id=479522279.mp3"],
["如梦令","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35403186.mp3","http://music.163.com/song/media/outer/url?id=35403186.mp3"],
["两生契","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28457666.mp3","http://music.163.com/song/media/outer/url?id=28457666.mp3"],
["玉楼春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30964595.mp3","http://music.163.com/song/media/outer/url?id=30964595.mp3"],
["若相惜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=81397.mp3","http://music.163.com/song/media/outer/url?id=81397.mp3"],
["贺新婚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28593387.mp3","http://music.163.com/song/media/outer/url?id=28593387.mp3"],
["蝶恋花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34380566.mp3","http://music.163.com/song/media/outer/url?id=34380566.mp3"],
["潜别离","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34187315.mp3","http://music.163.com/song/media/outer/url?id=34187315.mp3"],
["胭脂雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28660030.mp3","http://music.163.com/song/media/outer/url?id=28660030.mp3"],
["醉浣纱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=501540015.mp3","http://music.163.com/song/media/outer/url?id=501540015.mp3"],
["调笑令","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877913.mp3","http://music.163.com/song/media/outer/url?id=31877913.mp3"],
["如意令","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26344026.mp3","http://music.163.com/song/media/outer/url?id=26344026.mp3"],
["千灯愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465519538.mp3","http://music.163.com/song/media/outer/url?id=465519538.mp3"],
["梦望断","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771185.mp3","http://music.163.com/song/media/outer/url?id=29771185.mp3"],
["贺新婚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424498749.mp3","http://music.163.com/song/media/outer/url?id=424498749.mp3"],
["洛神赋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426342205.mp3","http://music.163.com/song/media/outer/url?id=426342205.mp3"],
["雁公子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=464674752.mp3","http://music.163.com/song/media/outer/url?id=464674752.mp3"],
["桃花韵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35476291.mp3","http://music.163.com/song/media/outer/url?id=35476291.mp3"],
["逐辰归","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=529681169.mp3","http://music.163.com/song/media/outer/url?id=529681169.mp3"],
["半壶纱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28793140.mp3","http://music.163.com/song/media/outer/url?id=28793140.mp3"],
["百年好（Cover 许缘ft勿即）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455570537.mp3","http://music.163.com/song/media/outer/url?id=455570537.mp3"],
["愿君安（Cover 松下奈绪）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=429460324.mp3","http://music.163.com/song/media/outer/url?id=429460324.mp3"],
["九张机（Cover 叶炫清）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=497211441.mp3","http://music.163.com/song/media/outer/url?id=497211441.mp3"],
["花灯游（Cover 卿小双）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=542724248.mp3","http://music.163.com/song/media/outer/url?id=542724248.mp3"],
["白石溪（Cover 洛天依 / 乐正绫）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516997458.mp3","http://music.163.com/song/media/outer/url?id=516997458.mp3"],
["乌衣巷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434070744.mp3","http://music.163.com/song/media/outer/url?id=434070744.mp3"],
["浮生记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28864788.mp3","http://music.163.com/song/media/outer/url?id=28864788.mp3"],
["藏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=534540498.mp3","http://music.163.com/song/media/outer/url?id=534540498.mp3"],
["缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29829308.mp3","http://music.163.com/song/media/outer/url?id=29829308.mp3"],
["弱水三千","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30482460.mp3","http://music.163.com/song/media/outer/url?id=30482460.mp3"],
["烟影如画","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27901674.mp3","http://music.163.com/song/media/outer/url?id=27901674.mp3"],
["初心共老","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=423703512.mp3","http://music.163.com/song/media/outer/url?id=423703512.mp3"],
["缘生意转","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29811186.mp3","http://music.163.com/song/media/outer/url?id=29811186.mp3"],
["天灯祈愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=510724756.mp3","http://music.163.com/song/media/outer/url?id=510724756.mp3"],
["山有木兮-橙光《人鱼传说之长生烛》主题曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425100599.mp3","http://music.163.com/song/media/outer/url?id=425100599.mp3"],
["上元姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456524192.mp3","http://music.163.com/song/media/outer/url?id=456524192.mp3"],
["倾成之恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29984414.mp3","http://music.163.com/song/media/outer/url?id=29984414.mp3"],
["寄我此生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509958341.mp3","http://music.163.com/song/media/outer/url?id=509958341.mp3"],
["不负时光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460515000.mp3","http://music.163.com/song/media/outer/url?id=460515000.mp3"],
["浮生一记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482116776.mp3","http://music.163.com/song/media/outer/url?id=482116776.mp3"],
["比武招亲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541670405.mp3","http://music.163.com/song/media/outer/url?id=541670405.mp3"],
["锦瑟长思","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461088103.mp3","http://music.163.com/song/media/outer/url?id=461088103.mp3"],
["眉如远山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=239547.mp3","http://music.163.com/song/media/outer/url?id=239547.mp3"],
["人间如约","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461120911.mp3","http://music.163.com/song/media/outer/url?id=461120911.mp3"],
["三生一梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28288186.mp3","http://music.163.com/song/media/outer/url?id=28288186.mp3"],
["一生一刹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=462008024.mp3","http://music.163.com/song/media/outer/url?id=462008024.mp3"],
["桃花入命","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26830522.mp3","http://music.163.com/song/media/outer/url?id=26830522.mp3"],
["陶然四季","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771932.mp3","http://music.163.com/song/media/outer/url?id=29771932.mp3"],
["故人不散","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=505903506.mp3","http://music.163.com/song/media/outer/url?id=505903506.mp3"],
["见信如晤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=522851271.mp3","http://music.163.com/song/media/outer/url?id=522851271.mp3"],
["身骑白马","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=306664.mp3","http://music.163.com/song/media/outer/url?id=306664.mp3"],
["弱水三千（cover 石头/张晓棠）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28445950.mp3","http://music.163.com/song/media/outer/url?id=28445950.mp3"],
["满城花开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434070315.mp3","http://music.163.com/song/media/outer/url?id=434070315.mp3"],
["桃花三千","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1301574921.mp3","http://music.163.com/song/media/outer/url?id=1301574921.mp3"],
["十里红妆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=497192639.mp3","http://music.163.com/song/media/outer/url?id=497192639.mp3"],
["似水流年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=436667080.mp3","http://music.163.com/song/media/outer/url?id=436667080.mp3"],
["元夕踏灯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=462488322.mp3","http://music.163.com/song/media/outer/url?id=462488322.mp3"],
["风花雪月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27946292.mp3","http://music.163.com/song/media/outer/url?id=27946292.mp3"],
["人间入画","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29811165.mp3","http://music.163.com/song/media/outer/url?id=29811165.mp3"],
["少读红楼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475250113.mp3","http://music.163.com/song/media/outer/url?id=475250113.mp3"],
["梦里偕老","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28765215.mp3","http://music.163.com/song/media/outer/url?id=28765215.mp3"],
["醉里相思 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33085128.mp3","http://music.163.com/song/media/outer/url?id=33085128.mp3"],
["三生同归（纯歌版）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=464040411.mp3","http://music.163.com/song/media/outer/url?id=464040411.mp3"],
["倾生未离","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424496416.mp3","http://music.163.com/song/media/outer/url?id=424496416.mp3"],
["此间情长","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=522855897.mp3","http://music.163.com/song/media/outer/url?id=522855897.mp3"],
["竹联璧贺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=423704003.mp3","http://music.163.com/song/media/outer/url?id=423704003.mp3"],
["侬本多情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461155417.mp3","http://music.163.com/song/media/outer/url?id=461155417.mp3"],
["日暮归途","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28461603.mp3","http://music.163.com/song/media/outer/url?id=28461603.mp3"],
["烟雨行舟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32922246.mp3","http://music.163.com/song/media/outer/url?id=32922246.mp3"],
["佳期·桃夭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=562498593.mp3","http://music.163.com/song/media/outer/url?id=562498593.mp3"],
["之子于归(独唱)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32944222.mp3","http://music.163.com/song/media/outer/url?id=32944222.mp3"],
["古风原创-【与卿说】","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1302208092.mp3","http://music.163.com/song/media/outer/url?id=1302208092.mp3"],
["一诺情长-橙光《拯救反派计划》主题曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418279297.mp3","http://music.163.com/song/media/outer/url?id=418279297.mp3"],
["花好月圆夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5265772.mp3","http://music.163.com/song/media/outer/url?id=5265772.mp3"],
["花好月圆夜（Cover 杨千嬅 / 任贤齐）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=510921356.mp3","http://music.163.com/song/media/outer/url?id=510921356.mp3"],
["烽火作红妆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541874952.mp3","http://music.163.com/song/media/outer/url?id=541874952.mp3"],
["杏花弦外雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32957012.mp3","http://music.163.com/song/media/outer/url?id=32957012.mp3"],
["我住长江头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29984349.mp3","http://music.163.com/song/media/outer/url?id=29984349.mp3"],
["七夕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28953350.mp3","http://music.163.com/song/media/outer/url?id=28953350.mp3"],
["红妆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461375949.mp3","http://music.163.com/song/media/outer/url?id=461375949.mp3"],
["故梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26830570.mp3","http://music.163.com/song/media/outer/url?id=26830570.mp3"],
["传灯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=41653053.mp3","http://music.163.com/song/media/outer/url?id=41653053.mp3"],
["风缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=537516884.mp3","http://music.163.com/song/media/outer/url?id=537516884.mp3"],
["蒹葭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428387751.mp3","http://music.163.com/song/media/outer/url?id=428387751.mp3"],
["风缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=539603870.mp3","http://music.163.com/song/media/outer/url?id=539603870.mp3"],
["吾妻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444003094.mp3","http://music.163.com/song/media/outer/url?id=444003094.mp3"],
["如花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101079.mp3","http://music.163.com/song/media/outer/url?id=101079.mp3"],
["入画","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1343288243.mp3","http://music.163.com/song/media/outer/url?id=1343288243.mp3"],
["喜庆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4872798.mp3","http://music.163.com/song/media/outer/url?id=4872798.mp3"],
["婚礼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=174532.mp3","http://music.163.com/song/media/outer/url?id=174532.mp3"],
["七夕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29379442.mp3","http://music.163.com/song/media/outer/url?id=29379442.mp3"],
["出嫁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=341984.mp3","http://music.163.com/song/media/outer/url?id=341984.mp3"],
["喜悦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4874445.mp3","http://music.163.com/song/media/outer/url?id=4874445.mp3"],
["如花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27562814.mp3","http://music.163.com/song/media/outer/url?id=27562814.mp3"],
["月夕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515772688.mp3","http://music.163.com/song/media/outer/url?id=515772688.mp3"],
["生生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=530786149.mp3","http://music.163.com/song/media/outer/url?id=530786149.mp3"],
["又年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=366397.mp3","http://music.163.com/song/media/outer/url?id=366397.mp3"],
["西狂（神雕侠侣）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28409897.mp3","http://music.163.com/song/media/outer/url?id=28409897.mp3"],
["情诗（Cover 邓丽欣）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439142534.mp3","http://music.163.com/song/media/outer/url?id=439142534.mp3"],
["盛世芳华","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764306.mp3","http://music.163.com/song/media/outer/url?id=29764306.mp3"],
["酒酿相思","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29019519.mp3","http://music.163.com/song/media/outer/url?id=29019519.mp3"],
["桃花依旧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28768363.mp3","http://music.163.com/song/media/outer/url?id=28768363.mp3"],
["佳人如梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=366295.mp3","http://music.163.com/song/media/outer/url?id=366295.mp3"],
["相知相许","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=431795955.mp3","http://music.163.com/song/media/outer/url?id=431795955.mp3"],
["清馨戏蝶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26344051.mp3","http://music.163.com/song/media/outer/url?id=26344051.mp3"],
["雨过昔年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29823473.mp3","http://music.163.com/song/media/outer/url?id=29823473.mp3"],
["情深似海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29999015.mp3","http://music.163.com/song/media/outer/url?id=29999015.mp3"],
["花间旧事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29713644.mp3","http://music.163.com/song/media/outer/url?id=29713644.mp3"],
["伊人红妆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276675.mp3","http://music.163.com/song/media/outer/url?id=276675.mp3"],
["烟火莲灯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=315587.mp3","http://music.163.com/song/media/outer/url?id=315587.mp3"],
["灯暖衣轻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=453938724.mp3","http://music.163.com/song/media/outer/url?id=453938724.mp3"],
["秦时明月-一舞倾城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29812077.mp3","http://music.163.com/song/media/outer/url?id=29812077.mp3"],
["何而安","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=469744792.mp3","http://music.163.com/song/media/outer/url?id=469744792.mp3"],
["隔烟水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=512413050.mp3","http://music.163.com/song/media/outer/url?id=512413050.mp3"],
["如梦令","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=366293.mp3","http://music.163.com/song/media/outer/url?id=366293.mp3"],
["白首","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28528327.mp3","http://music.163.com/song/media/outer/url?id=28528327.mp3"],
["飞羽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29539296.mp3","http://music.163.com/song/media/outer/url?id=29539296.mp3"],
["书成","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=366415.mp3","http://music.163.com/song/media/outer/url?id=366415.mp3"],
["比翼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34003500.mp3","http://music.163.com/song/media/outer/url?id=34003500.mp3"],
["闲时灯照月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=532940334.mp3","http://music.163.com/song/media/outer/url?id=532940334.mp3"],
["玫瑰情缘-橙光《墨玉情缘》主题曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418326086.mp3","http://music.163.com/song/media/outer/url?id=418326086.mp3"],
["君心我心-橙光《君心我心》主题曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427610879.mp3","http://music.163.com/song/media/outer/url?id=427610879.mp3"],
["【古风原创】缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=551648880.mp3","http://music.163.com/song/media/outer/url?id=551648880.mp3"],
["两小无猜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=166346.mp3","http://music.163.com/song/media/outer/url?id=166346.mp3"],
["画眉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27890488.mp3","http://music.163.com/song/media/outer/url?id=27890488.mp3"],
["国色天香","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=392384.mp3","http://music.163.com/song/media/outer/url?id=392384.mp3"],
["十世镜《远嫁》","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26379275.mp3","http://music.163.com/song/media/outer/url?id=26379275.mp3"],
["天朝礼乐.变调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26344080.mp3","http://music.163.com/song/media/outer/url?id=26344080.mp3"],
["云荒.只如初见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=233691.mp3","http://music.163.com/song/media/outer/url?id=233691.mp3"],
["夜风无意作情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1361030268.mp3","http://music.163.com/song/media/outer/url?id=1361030268.mp3"],
["闻说笔端有风月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31517413.mp3","http://music.163.com/song/media/outer/url?id=31517413.mp3"],
["巧解姻缘天作合","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34986703.mp3","http://music.163.com/song/media/outer/url?id=34986703.mp3"],
["十世镜·情为何物","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29979932.mp3","http://music.163.com/song/media/outer/url?id=29979932.mp3"],
["树上的鸟儿成双对","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=480411075.mp3","http://music.163.com/song/media/outer/url?id=480411075.mp3"],
["刹那芳华曲(圆满版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=315581.mp3","http://music.163.com/song/media/outer/url?id=315581.mp3"],
["结良缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425065785.mp3","http://music.163.com/song/media/outer/url?id=425065785.mp3"],
["绾丝结-快乐主题音乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=490633218.mp3","http://music.163.com/song/media/outer/url?id=490633218.mp3"],
["【横颜君】原创古风－痴卦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=490695311.mp3","http://music.163.com/song/media/outer/url?id=490695311.mp3"],
["浮生三千幸会矣-橙光《帅哥我来也》主题曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=538892625.mp3","http://music.163.com/song/media/outer/url?id=538892625.mp3"]
]
#华晨宇
huachenyu = [
["烟火里的尘埃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29004400.mp3","http://music.163.com/song/media/outer/url?id=29004400.mp3"],
["国王与乞丐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32835565.mp3","http://music.163.com/song/media/outer/url?id=32835565.mp3"],
["我管你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32619105.mp3","http://music.163.com/song/media/outer/url?id=32619105.mp3"],
["齐天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=481859794.mp3","http://music.163.com/song/media/outer/url?id=481859794.mp3"],
["寒鸦少年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305366556.mp3","http://music.163.com/song/media/outer/url?id=1305366556.mp3"],
["异类","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33190545.mp3","http://music.163.com/song/media/outer/url?id=33190545.mp3"],
["我离孤单几公里","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432698831.mp3","http://music.163.com/song/media/outer/url?id=432698831.mp3"],
["Here We Are ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=420125810.mp3","http://music.163.com/song/media/outer/url?id=420125810.mp3"],
["寻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=472137749.mp3","http://music.163.com/song/media/outer/url?id=472137749.mp3"],
["无聊人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=507364050.mp3","http://music.163.com/song/media/outer/url?id=507364050.mp3"],
["智商二五零","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509135782.mp3","http://music.163.com/song/media/outer/url?id=509135782.mp3"],
["蜉蝣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34228112.mp3","http://music.163.com/song/media/outer/url?id=34228112.mp3"],
["For Forever","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426291338.mp3","http://music.163.com/song/media/outer/url?id=426291338.mp3"],
["微光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418037.mp3","http://music.163.com/song/media/outer/url?id=29418037.mp3"],
["消失的昨天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432698825.mp3","http://music.163.com/song/media/outer/url?id=432698825.mp3"],
["我的滑板鞋2016 (录音室版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=440411226.mp3","http://music.163.com/song/media/outer/url?id=440411226.mp3"],
["我们都是孤独的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418042.mp3","http://music.163.com/song/media/outer/url?id=29418042.mp3"],
["地球之盐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34964198.mp3","http://music.163.com/song/media/outer/url?id=34964198.mp3"],
["造物者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419250437.mp3","http://music.163.com/song/media/outer/url?id=419250437.mp3"],
["卡西莫多的礼物","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29357467.mp3","http://music.163.com/song/media/outer/url?id=29357467.mp3"],
["To Be Free","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=422463501.mp3","http://music.163.com/song/media/outer/url?id=422463501.mp3"],
["巨鹿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417833854.mp3","http://music.163.com/song/media/outer/url?id=417833854.mp3"],
["差不多先生 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33705671.mp3","http://music.163.com/song/media/outer/url?id=33705671.mp3"],
["世界是个动物园","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434981389.mp3","http://music.163.com/song/media/outer/url?id=434981389.mp3"],
["写给未来的孩子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434981391.mp3","http://music.163.com/song/media/outer/url?id=434981391.mp3"],
["癌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31645164.mp3","http://music.163.com/song/media/outer/url?id=31645164.mp3"],
["拆弹专家","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418040.mp3","http://music.163.com/song/media/outer/url?id=29418040.mp3"],
["趁你还年轻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28160015.mp3","http://music.163.com/song/media/outer/url?id=28160015.mp3"],
["Let You Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418038.mp3","http://music.163.com/song/media/outer/url?id=29418038.mp3"],
["随我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471374398.mp3","http://music.163.com/song/media/outer/url?id=471374398.mp3"],
["逃离乌托邦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434981388.mp3","http://music.163.com/song/media/outer/url?id=434981388.mp3"],
["忧伤的巨人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434981393.mp3","http://music.163.com/song/media/outer/url?id=434981393.mp3"],
["枕边故事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418045.mp3","http://music.163.com/song/media/outer/url?id=29418045.mp3"],
["不朽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418043.mp3","http://music.163.com/song/media/outer/url?id=29418043.mp3"],
["火星情报局","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409060097.mp3","http://music.163.com/song/media/outer/url?id=409060097.mp3"],
["环游","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29418041.mp3","http://music.163.com/song/media/outer/url?id=29418041.mp3"],
["我(live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29785948.mp3","http://music.163.com/song/media/outer/url?id=29785948.mp3"],
["变相怪杰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434981390.mp3","http://music.163.com/song/media/outer/url?id=434981390.mp3"],
["Why Nobody Fights","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28949328.mp3","http://music.163.com/song/media/outer/url?id=28949328.mp3"],
["反义词","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33497110.mp3","http://music.163.com/song/media/outer/url?id=33497110.mp3"],
["穿心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=522320210.mp3","http://music.163.com/song/media/outer/url?id=522320210.mp3"],
["春(Live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29785930.mp3","http://music.163.com/song/media/outer/url?id=29785930.mp3"],
["夏之旅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=571340083.mp3","http://music.163.com/song/media/outer/url?id=571340083.mp3"],
["自己的太阳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29343845.mp3","http://music.163.com/song/media/outer/url?id=29343845.mp3"],
["花儿与少年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28497630.mp3","http://music.163.com/song/media/outer/url?id=28497630.mp3"],
["我和我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=522320048.mp3","http://music.163.com/song/media/outer/url?id=522320048.mp3"],
["Chandelier","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34364633.mp3","http://music.163.com/song/media/outer/url?id=34364633.mp3"],
["就这Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30569534.mp3","http://music.163.com/song/media/outer/url?id=30569534.mp3"],
["安全感(live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30394408.mp3","http://music.163.com/song/media/outer/url?id=30394408.mp3"],
["高手归来 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34078140.mp3","http://music.163.com/song/media/outer/url?id=34078140.mp3"]
]
#花粥
huazhou = [
["归去来兮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999894.mp3","http://music.163.com/song/media/outer/url?id=1357999894.mp3"],
["出山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313354324.mp3","http://music.163.com/song/media/outer/url?id=1313354324.mp3"],
["盗将行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574566207.mp3","http://music.163.com/song/media/outer/url?id=574566207.mp3"],
["浮白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336866698.mp3","http://music.163.com/song/media/outer/url?id=1336866698.mp3"],
["纸短情长","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557581284.mp3","http://music.163.com/song/media/outer/url?id=557581284.mp3"],
["遥不可及的你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=450853439.mp3","http://music.163.com/song/media/outer/url?id=450853439.mp3"],
["是红","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1367867672.mp3","http://music.163.com/song/media/outer/url?id=1367867672.mp3"],
["多喝热水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1369588040.mp3","http://music.163.com/song/media/outer/url?id=1369588040.mp3"],
["一腔诗意喂了狗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460542191.mp3","http://music.163.com/song/media/outer/url?id=460542191.mp3"],
["离家最近的路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1342592226.mp3","http://music.163.com/song/media/outer/url?id=1342592226.mp3"],
["何苦来哉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1358003719.mp3","http://music.163.com/song/media/outer/url?id=1358003719.mp3"],
["我在十点差三分的时候开始想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515383689.mp3","http://music.163.com/song/media/outer/url?id=515383689.mp3"],
["山中客","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999898.mp3","http://music.163.com/song/media/outer/url?id=1357999898.mp3"],
["活该","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313107233.mp3","http://music.163.com/song/media/outer/url?id=1313107233.mp3"],
["四月变成一座桥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1358003718.mp3","http://music.163.com/song/media/outer/url?id=1358003718.mp3"],
["落霜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1358035181.mp3","http://music.163.com/song/media/outer/url?id=1358035181.mp3"],
["二十岁的某一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=247172.mp3","http://music.163.com/song/media/outer/url?id=247172.mp3"],
["远在北方孤独的鬼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=247177.mp3","http://music.163.com/song/media/outer/url?id=247177.mp3"],
["你还在忧愁什么呢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1324447466.mp3","http://music.163.com/song/media/outer/url?id=1324447466.mp3"],
["南来北往","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419375655.mp3","http://music.163.com/song/media/outer/url?id=419375655.mp3"],
["海盗船长2.0","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=571601379.mp3","http://music.163.com/song/media/outer/url?id=571601379.mp3"],
["这个大叔不太冷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1336871705.mp3","http://music.163.com/song/media/outer/url?id=1336871705.mp3"],
["楔子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999880.mp3","http://music.163.com/song/media/outer/url?id=1357999880.mp3"],
["我抬头一看满街都是单身的狗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1319225007.mp3","http://music.163.com/song/media/outer/url?id=1319225007.mp3"],
["最美不过是朝晖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=544474415.mp3","http://music.163.com/song/media/outer/url?id=544474415.mp3"],
["又失恋了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=863359163.mp3","http://music.163.com/song/media/outer/url?id=863359163.mp3"],
["摸摸它","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1304302909.mp3","http://music.163.com/song/media/outer/url?id=1304302909.mp3"],
["只不过是","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419373705.mp3","http://music.163.com/song/media/outer/url?id=419373705.mp3"],
["请你吃个冰激凌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999885.mp3","http://music.163.com/song/media/outer/url?id=1357999885.mp3"],
["动物园","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1363548161.mp3","http://music.163.com/song/media/outer/url?id=1363548161.mp3"],
["去问猫耳朵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=555894912.mp3","http://music.163.com/song/media/outer/url?id=555894912.mp3"],
["顺平侯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1311363493.mp3","http://music.163.com/song/media/outer/url?id=1311363493.mp3"],
["长岛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419373910.mp3","http://music.163.com/song/media/outer/url?id=419373910.mp3"],
["老郭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999884.mp3","http://music.163.com/song/media/outer/url?id=1357999884.mp3"],
["我说我当不了县长","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1307411242.mp3","http://music.163.com/song/media/outer/url?id=1307411242.mp3"],
["在山河的角落里唱给你听","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999886.mp3","http://music.163.com/song/media/outer/url?id=1357999886.mp3"],
["树说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999883.mp3","http://music.163.com/song/media/outer/url?id=1357999883.mp3"],
["小相思（demo）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419375586.mp3","http://music.163.com/song/media/outer/url?id=419375586.mp3"],
["舍离书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1307103571.mp3","http://music.163.com/song/media/outer/url?id=1307103571.mp3"],
["杀死那朵花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460542144.mp3","http://music.163.com/song/media/outer/url?id=460542144.mp3"],
["五个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1357999888.mp3","http://music.163.com/song/media/outer/url?id=1357999888.mp3"],
["碌碌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518167926.mp3","http://music.163.com/song/media/outer/url?id=518167926.mp3"],
["糟糕的歌者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1358003716.mp3","http://music.163.com/song/media/outer/url?id=1358003716.mp3"],
["我们总是在寻找","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=247165.mp3","http://music.163.com/song/media/outer/url?id=247165.mp3"],
["农夫渔夫 (小猛&花粥北京Live 2018版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1341800352.mp3","http://music.163.com/song/media/outer/url?id=1341800352.mp3"],
["妈妈要我出嫁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=247169.mp3","http://music.163.com/song/media/outer/url?id=247169.mp3"],
["清","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1358003715.mp3","http://music.163.com/song/media/outer/url?id=1358003715.mp3"],
["妖魔山游记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=514543271.mp3","http://music.163.com/song/media/outer/url?id=514543271.mp3"],
["盗将行live （柳爽/花粥）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313091360.mp3","http://music.163.com/song/media/outer/url?id=1313091360.mp3"],
["猫都瞧不起我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=514761233.mp3","http://music.163.com/song/media/outer/url?id=514761233.mp3"]
]
#林俊杰
linjunjie = [
["飞云之下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554242032.mp3","http://music.163.com/song/media/outer/url?id=554242032.mp3"],
["那些你很冒险的梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108138.mp3","http://music.163.com/song/media/outer/url?id=108138.mp3"],
["可惜没如果","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29814898.mp3","http://music.163.com/song/media/outer/url?id=29814898.mp3"],
["醉赤壁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108478.mp3","http://music.163.com/song/media/outer/url?id=108478.mp3"],
["修炼爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25727803.mp3","http://music.163.com/song/media/outer/url?id=25727803.mp3"],
["Always Online","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108485.mp3","http://music.163.com/song/media/outer/url?id=108485.mp3"],
["江南","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108914.mp3","http://music.163.com/song/media/outer/url?id=108914.mp3"],
["爱笑的眼睛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108245.mp3","http://music.163.com/song/media/outer/url?id=108245.mp3"],
["她说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108242.mp3","http://music.163.com/song/media/outer/url?id=108242.mp3"],
["当你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108251.mp3","http://music.163.com/song/media/outer/url?id=108251.mp3"],
["我还想她","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108493.mp3","http://music.163.com/song/media/outer/url?id=108493.mp3"],
["背对背拥抱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108418.mp3","http://music.163.com/song/media/outer/url?id=108418.mp3"],
["手心的蔷薇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29848657.mp3","http://music.163.com/song/media/outer/url?id=29848657.mp3"],
["裂缝中的阳光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25794009.mp3","http://music.163.com/song/media/outer/url?id=25794009.mp3"],
["小酒窝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108468.mp3","http://music.163.com/song/media/outer/url?id=108468.mp3"],
["记得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108269.mp3","http://music.163.com/song/media/outer/url?id=108269.mp3"],
["美人鱼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108931.mp3","http://music.163.com/song/media/outer/url?id=108931.mp3"],
["一千年以后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108886.mp3","http://music.163.com/song/media/outer/url?id=108886.mp3"],
["我们很好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1369998604.mp3","http://music.163.com/song/media/outer/url?id=1369998604.mp3"],
["曹操","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108795.mp3","http://music.163.com/song/media/outer/url?id=108795.mp3"],
["学不会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108134.mp3","http://music.163.com/song/media/outer/url?id=108134.mp3"],
["不潮不用花钱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108463.mp3","http://music.163.com/song/media/outer/url?id=108463.mp3"],
["期待爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108503.mp3","http://music.163.com/song/media/outer/url?id=108503.mp3"],
["生生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29850685.mp3","http://music.163.com/song/media/outer/url?id=29850685.mp3"],
["加油！","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108406.mp3","http://music.163.com/song/media/outer/url?id=108406.mp3"],
["杀手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108543.mp3","http://music.163.com/song/media/outer/url?id=108543.mp3"],
["被风吹过的夏天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=247579.mp3","http://music.163.com/song/media/outer/url?id=247579.mp3"],
["黑暗骑士","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25794008.mp3","http://music.163.com/song/media/outer/url?id=25794008.mp3"],
["心墙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108263.mp3","http://music.163.com/song/media/outer/url?id=108263.mp3"],
["豆浆油条","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108910.mp3","http://music.163.com/song/media/outer/url?id=108910.mp3"],
["一眼万年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108254.mp3","http://music.163.com/song/media/outer/url?id=108254.mp3"],
["不为谁而作的歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=37196629.mp3","http://music.163.com/song/media/outer/url?id=37196629.mp3"],
["只对你有感觉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108248.mp3","http://music.163.com/song/media/outer/url?id=108248.mp3"],
["关键词","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=40147554.mp3","http://music.163.com/song/media/outer/url?id=40147554.mp3"],
["我很想爱他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108265.mp3","http://music.163.com/song/media/outer/url?id=108265.mp3"],
["故事细腻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108136.mp3","http://music.163.com/song/media/outer/url?id=108136.mp3"],
["握不住的他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108260.mp3","http://music.163.com/song/media/outer/url?id=108260.mp3"],
["爱不会绝迹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108428.mp3","http://music.163.com/song/media/outer/url?id=108428.mp3"],
["超越无限","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417833348.mp3","http://music.163.com/song/media/outer/url?id=417833348.mp3"],
["黑武士","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108473.mp3","http://music.163.com/song/media/outer/url?id=108473.mp3"],
["原来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108806.mp3","http://music.163.com/song/media/outer/url?id=108806.mp3"],
["冻结","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108965.mp3","http://music.163.com/song/media/outer/url?id=108965.mp3"],
["第几个一百天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108401.mp3","http://music.163.com/song/media/outer/url?id=108401.mp3"],
["因你而在","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25729074.mp3","http://music.163.com/song/media/outer/url?id=25729074.mp3"],
["期待你的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34040694.mp3","http://music.163.com/song/media/outer/url?id=34040694.mp3"],
["就是我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108950.mp3","http://music.163.com/song/media/outer/url?id=108950.mp3"],
["不死之身","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108810.mp3","http://music.163.com/song/media/outer/url?id=108810.mp3"],
["一生的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108267.mp3","http://music.163.com/song/media/outer/url?id=108267.mp3"],
["你要的不是我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108827.mp3","http://music.163.com/song/media/outer/url?id=108827.mp3"],
["编号89757","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108858.mp3","http://music.163.com/song/media/outer/url?id=108858.mp3"]
]
#林宥嘉
linyoujia = [
["说谎","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108390.mp3","http://music.163.com/song/media/outer/url?id=108390.mp3"],
["成全","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=562594267.mp3","http://music.163.com/song/media/outer/url?id=562594267.mp3"],
["全世界谁倾听你 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432509483.mp3","http://music.163.com/song/media/outer/url?id=432509483.mp3"],
["浪费","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108179.mp3","http://music.163.com/song/media/outer/url?id=108179.mp3"],
["想自由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108281.mp3","http://music.163.com/song/media/outer/url?id=108281.mp3"],
["突然想起你(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108224.mp3","http://music.163.com/song/media/outer/url?id=108224.mp3"],
["残酷月光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108557.mp3","http://music.163.com/song/media/outer/url?id=108557.mp3"],
["天真有邪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417833029.mp3","http://music.163.com/song/media/outer/url?id=417833029.mp3"],
["傻子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108194.mp3","http://music.163.com/song/media/outer/url?id=108194.mp3"],
["心酸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108393.mp3","http://music.163.com/song/media/outer/url?id=108393.mp3"],
["我爱的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=350651.mp3","http://music.163.com/song/media/outer/url?id=350651.mp3"],
["别让我走远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1353372483.mp3","http://music.163.com/song/media/outer/url?id=1353372483.mp3"],
["背影","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5247677.mp3","http://music.163.com/song/media/outer/url?id=5247677.mp3"],
["我梦见你梦见我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250911.mp3","http://music.163.com/song/media/outer/url?id=417250911.mp3"],
["神秘嘉宾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108539.mp3","http://music.163.com/song/media/outer/url?id=108539.mp3"],
["我总是一个人在练习一个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108284.mp3","http://music.163.com/song/media/outer/url?id=108284.mp3"],
["你是我的眼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=350616.mp3","http://music.163.com/song/media/outer/url?id=350616.mp3"],
["感同身受","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108411.mp3","http://music.163.com/song/media/outer/url?id=108411.mp3"],
["船","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=479408180.mp3","http://music.163.com/song/media/outer/url?id=479408180.mp3"],
["脆弱一分钟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1294910319.mp3","http://music.163.com/song/media/outer/url?id=1294910319.mp3"],
["自然醒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108277.mp3","http://music.163.com/song/media/outer/url?id=108277.mp3"],
["勉强幸福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108191.mp3","http://music.163.com/song/media/outer/url?id=108191.mp3"],
["致姗姗来迟的你 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862098927.mp3","http://music.163.com/song/media/outer/url?id=862098927.mp3"],
["心有林夕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108567.mp3","http://music.163.com/song/media/outer/url?id=108567.mp3"],
["我已经敢想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250909.mp3","http://music.163.com/song/media/outer/url?id=417250909.mp3"],
["诱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108182.mp3","http://music.163.com/song/media/outer/url?id=108182.mp3"],
["勿忘你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250913.mp3","http://music.163.com/song/media/outer/url?id=417250913.mp3"],
["离开地球表面 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26608581.mp3","http://music.163.com/song/media/outer/url?id=26608581.mp3"],
["思凡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108170.mp3","http://music.163.com/song/media/outer/url?id=108170.mp3"],
["眼色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108536.mp3","http://music.163.com/song/media/outer/url?id=108536.mp3"],
["早开的晚霞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108294.mp3","http://music.163.com/song/media/outer/url?id=108294.mp3"],
["突然好想你(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34614324.mp3","http://music.163.com/song/media/outer/url?id=34614324.mp3"],
["推动摇篮的手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862102137.mp3","http://music.163.com/song/media/outer/url?id=862102137.mp3"],
["给小孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296894.mp3","http://music.163.com/song/media/outer/url?id=296894.mp3"],
["拥有","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108291.mp3","http://music.163.com/song/media/outer/url?id=108291.mp3"],
["再别康桥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108571.mp3","http://music.163.com/song/media/outer/url?id=108571.mp3"],
["我只在乎你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25850223.mp3","http://music.163.com/song/media/outer/url?id=25850223.mp3"],
["我有多么喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=565907377.mp3","http://music.163.com/song/media/outer/url?id=565907377.mp3"],
["坏与更坏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250908.mp3","http://music.163.com/song/media/outer/url?id=417250908.mp3"],
["一点点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417833031.mp3","http://music.163.com/song/media/outer/url?id=417833031.mp3"],
["如同悲伤被下载了两次 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179838.mp3","http://music.163.com/song/media/outer/url?id=34179838.mp3"],
["宠儿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417833033.mp3","http://music.163.com/song/media/outer/url?id=417833033.mp3"],
["让世界毁灭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417833028.mp3","http://music.163.com/song/media/outer/url?id=417833028.mp3"],
["天将明","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428095030.mp3","http://music.163.com/song/media/outer/url?id=428095030.mp3"],
["长大的童话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=442898703.mp3","http://music.163.com/song/media/outer/url?id=442898703.mp3"],
["飞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250910.mp3","http://music.163.com/song/media/outer/url?id=417250910.mp3"],
["兜圈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=436016777.mp3","http://music.163.com/song/media/outer/url?id=436016777.mp3"],
["吻得太逼真/酷爱(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5240868.mp3","http://music.163.com/song/media/outer/url?id=5240868.mp3"],
["纪念品","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108287.mp3","http://music.163.com/song/media/outer/url?id=108287.mp3"],
["晚安","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108301.mp3","http://music.163.com/song/media/outer/url?id=108301.mp3"]
]
#李荣浩
lironghao = [
["年少有为","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1293886117.mp3","http://music.163.com/song/media/outer/url?id=1293886117.mp3"],
["老街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=133998.mp3","http://music.163.com/song/media/outer/url?id=133998.mp3"],
["戒烟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518686034.mp3","http://music.163.com/song/media/outer/url?id=518686034.mp3"],
["不将就","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31654343.mp3","http://music.163.com/song/media/outer/url?id=31654343.mp3"],
["耳朵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1318235595.mp3","http://music.163.com/song/media/outer/url?id=1318235595.mp3"],
["喜剧之王","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29710981.mp3","http://music.163.com/song/media/outer/url?id=29710981.mp3"],
["出卖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31134193.mp3","http://music.163.com/song/media/outer/url?id=31134193.mp3"],
["爸爸妈妈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407450223.mp3","http://music.163.com/song/media/outer/url?id=407450223.mp3"],
["李白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27678655.mp3","http://music.163.com/song/media/outer/url?id=27678655.mp3"],
["贝贝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1318234987.mp3","http://music.163.com/song/media/outer/url?id=1318234987.mp3"],
["不说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428375722.mp3","http://music.163.com/song/media/outer/url?id=428375722.mp3"],
["模特","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731176.mp3","http://music.163.com/song/media/outer/url?id=27731176.mp3"],
["作曲家","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764562.mp3","http://music.163.com/song/media/outer/url?id=29764562.mp3"],
["我看着你的时候","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=506092654.mp3","http://music.163.com/song/media/outer/url?id=506092654.mp3"],
["祝你幸福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=511920347.mp3","http://music.163.com/song/media/outer/url?id=511920347.mp3"],
["不搭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764563.mp3","http://music.163.com/song/media/outer/url?id=29764563.mp3"],
["王牌冤家","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862129612.mp3","http://music.163.com/song/media/outer/url?id=862129612.mp3"],
["笑忘书 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877243.mp3","http://music.163.com/song/media/outer/url?id=31877243.mp3"],
["就这样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=486323960.mp3","http://music.163.com/song/media/outer/url?id=486323960.mp3"],
["边走边唱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31134197.mp3","http://music.163.com/song/media/outer/url?id=31134197.mp3"],
["念念又不忘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862130427.mp3","http://music.163.com/song/media/outer/url?id=862130427.mp3"],
["小芳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31134170.mp3","http://music.163.com/song/media/outer/url?id=31134170.mp3"],
["女孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407459147.mp3","http://music.163.com/song/media/outer/url?id=407459147.mp3"],
["有理想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407450218.mp3","http://music.163.com/song/media/outer/url?id=407450218.mp3"],
["成长之重量","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=570334069.mp3","http://music.163.com/song/media/outer/url?id=570334069.mp3"],
["歌谣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=502242110.mp3","http://music.163.com/song/media/outer/url?id=502242110.mp3"],
["自拍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764564.mp3","http://music.163.com/song/media/outer/url?id=29764564.mp3"],
["贫穷或富有","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305547844.mp3","http://music.163.com/song/media/outer/url?id=1305547844.mp3"],
["太坦白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731177.mp3","http://music.163.com/song/media/outer/url?id=27731177.mp3"],
["老伴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731174.mp3","http://music.163.com/song/media/outer/url?id=27731174.mp3"],
["都一样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731172.mp3","http://music.163.com/song/media/outer/url?id=27731172.mp3"],
["落俗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764561.mp3","http://music.163.com/song/media/outer/url?id=29764561.mp3"],
["张家明和婉君","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1309866644.mp3","http://music.163.com/song/media/outer/url?id=1309866644.mp3"],
["我知道是你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1318234982.mp3","http://music.163.com/song/media/outer/url?id=1318234982.mp3"],
["嗯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=479223381.mp3","http://music.163.com/song/media/outer/url?id=479223381.mp3"],
["后羿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515143802.mp3","http://music.163.com/song/media/outer/url?id=515143802.mp3"],
["有一个姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731179.mp3","http://music.163.com/song/media/outer/url?id=27731179.mp3"],
["满座","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=400074326.mp3","http://music.163.com/song/media/outer/url?id=400074326.mp3"],
["哎呀","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764565.mp3","http://music.163.com/song/media/outer/url?id=29764565.mp3"],
["少年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=519250024.mp3","http://music.163.com/song/media/outer/url?id=519250024.mp3"],
["乐团","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1318234981.mp3","http://music.163.com/song/media/outer/url?id=1318234981.mp3"],
["裙姊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=493631465.mp3","http://music.163.com/song/media/outer/url?id=493631465.mp3"],
["如果有一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31134194.mp3","http://music.163.com/song/media/outer/url?id=31134194.mp3"],
["优点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407459145.mp3","http://music.163.com/song/media/outer/url?id=407459145.mp3"],
["流行歌曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407459148.mp3","http://music.163.com/song/media/outer/url?id=407459148.mp3"],
["天生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764568.mp3","http://music.163.com/song/media/outer/url?id=29764568.mp3"],
["小黄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=134000.mp3","http://music.163.com/song/media/outer/url?id=134000.mp3"],
["二三十","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29764569.mp3","http://music.163.com/song/media/outer/url?id=29764569.mp3"],
["两个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731175.mp3","http://music.163.com/song/media/outer/url?id=27731175.mp3"],
["拜拜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731171.mp3","http://music.163.com/song/media/outer/url?id=27731171.mp3"]
]
#鹿晗
luhan = [
["我们的明天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29771231.mp3","http://music.163.com/song/media/outer/url?id=29771231.mp3"],
["追梦赤子心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=504646547.mp3","http://music.163.com/song/media/outer/url?id=504646547.mp3"],
["重返十七岁(新版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418603445.mp3","http://music.163.com/song/media/outer/url?id=418603445.mp3"],
["橘子汽水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33891304.mp3","http://music.163.com/song/media/outer/url?id=33891304.mp3"],
["爱上未来的你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28409158.mp3","http://music.163.com/song/media/outer/url?id=28409158.mp3"],
["豆浆油条","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28403860.mp3","http://music.163.com/song/media/outer/url?id=28403860.mp3"],
["请到长城来滑雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32619147.mp3","http://music.163.com/song/media/outer/url?id=32619147.mp3"],
["DJ Got Us Falling In Love Again","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27979498.mp3","http://music.163.com/song/media/outer/url?id=27979498.mp3"],
["我让你走了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28409157.mp3","http://music.163.com/song/media/outer/url?id=28409157.mp3"],
["爱情向前进(电影版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30830714.mp3","http://music.163.com/song/media/outer/url?id=30830714.mp3"],
["给我一个吻(live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29922376.mp3","http://music.163.com/song/media/outer/url?id=29922376.mp3"],
["鹿店长的炸鸡酷炫之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461811778.mp3","http://music.163.com/song/media/outer/url?id=461811778.mp3"]
]
#毛不易
maobuyi = [
["像我这样的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569213220.mp3","http://music.163.com/song/media/outer/url?id=569213220.mp3"],
["不染","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536099160.mp3","http://music.163.com/song/media/outer/url?id=536099160.mp3"],
["消愁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569200213.mp3","http://music.163.com/song/media/outer/url?id=569200213.mp3"],
["平凡的一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214247.mp3","http://music.163.com/song/media/outer/url?id=569214247.mp3"],
["别再闹了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334270281.mp3","http://music.163.com/song/media/outer/url?id=1334270281.mp3"],
["借","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214250.mp3","http://music.163.com/song/media/outer/url?id=569214250.mp3"],
["无问","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=525278524.mp3","http://music.163.com/song/media/outer/url?id=525278524.mp3"],
["给你给我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569200210.mp3","http://music.163.com/song/media/outer/url?id=569200210.mp3"],
["盛夏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569212211.mp3","http://music.163.com/song/media/outer/url?id=569212211.mp3"],
["一荤一素","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569200212.mp3","http://music.163.com/song/media/outer/url?id=569200212.mp3"],
["如果有一天我变得很有钱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214252.mp3","http://music.163.com/song/media/outer/url?id=569214252.mp3"],
["想你想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569212210.mp3","http://music.163.com/song/media/outer/url?id=569212210.mp3"],
["芬芳一生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214251.mp3","http://music.163.com/song/media/outer/url?id=569214251.mp3"],
["哎哟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569200211.mp3","http://music.163.com/song/media/outer/url?id=569200211.mp3"],
["感觉自己是巨星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=524913480.mp3","http://music.163.com/song/media/outer/url?id=524913480.mp3"],
["项羽虞姬","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518088247.mp3","http://music.163.com/song/media/outer/url?id=518088247.mp3"],
["从无到有","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313052960.mp3","http://music.163.com/song/media/outer/url?id=1313052960.mp3"],
["南一道街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214249.mp3","http://music.163.com/song/media/outer/url?id=569214249.mp3"],
["那时的我们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1325897605.mp3","http://music.163.com/song/media/outer/url?id=1325897605.mp3"],
["在无风时","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1332490992.mp3","http://music.163.com/song/media/outer/url?id=1332490992.mp3"],
["意料之中","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862098671.mp3","http://music.163.com/song/media/outer/url?id=862098671.mp3"],
["一江水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306496991.mp3","http://music.163.com/song/media/outer/url?id=1306496991.mp3"],
["请记住我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=519250015.mp3","http://music.163.com/song/media/outer/url?id=519250015.mp3"],
["Bonus Track：一荤一素 (Demo版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569200214.mp3","http://music.163.com/song/media/outer/url?id=569200214.mp3"],
["Bonus Track：给你给我 (Demo版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569212213.mp3","http://music.163.com/song/media/outer/url?id=569212213.mp3"],
["Remember Me (Mao Bu Yi Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=523946593.mp3","http://music.163.com/song/media/outer/url?id=523946593.mp3"]
]
#朴树
pushu = [
["平凡之路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28815250.mp3","http://music.163.com/song/media/outer/url?id=28815250.mp3"],
["那些花儿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139377.mp3","http://music.163.com/song/media/outer/url?id=139377.mp3"],
["生如夏花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139357.mp3","http://music.163.com/song/media/outer/url?id=139357.mp3"],
["送别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26090155.mp3","http://music.163.com/song/media/outer/url?id=26090155.mp3"],
["清白之年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475072295.mp3","http://music.163.com/song/media/outer/url?id=475072295.mp3"],
["白桦林","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139385.mp3","http://music.163.com/song/media/outer/url?id=139385.mp3"],
["No Fear In My Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=484732973.mp3","http://music.163.com/song/media/outer/url?id=484732973.mp3"],
["且听风吟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139359.mp3","http://music.163.com/song/media/outer/url?id=139359.mp3"],
["Baby ，До свидания","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=442869386.mp3","http://music.163.com/song/media/outer/url?id=442869386.mp3"],
["猎户星座","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518896134.mp3","http://music.163.com/song/media/outer/url?id=518896134.mp3"],
["New Boy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139371.mp3","http://music.163.com/song/media/outer/url?id=139371.mp3"],
["好好地","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35345951.mp3","http://music.163.com/song/media/outer/url?id=35345951.mp3"],
["在木星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33419478.mp3","http://music.163.com/song/media/outer/url?id=33419478.mp3"],
["旅途","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139381.mp3","http://music.163.com/song/media/outer/url?id=139381.mp3"],
["她在睡梦中remix","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1359357616.mp3","http://music.163.com/song/media/outer/url?id=1359357616.mp3"],
["The fear in my heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475073280.mp3","http://music.163.com/song/media/outer/url?id=475073280.mp3"],
["永隔一江水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29732733.mp3","http://music.163.com/song/media/outer/url?id=29732733.mp3"],
["我爱你，再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139342.mp3","http://music.163.com/song/media/outer/url?id=139342.mp3"],
["Forever young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475073278.mp3","http://music.163.com/song/media/outer/url?id=475073278.mp3"],
["在希望的田野上","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139375.mp3","http://music.163.com/song/media/outer/url?id=139375.mp3"],
["她在睡梦中","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139361.mp3","http://music.163.com/song/media/outer/url?id=139361.mp3"],
["空帆船","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1301572243.mp3","http://music.163.com/song/media/outer/url?id=1301572243.mp3"],
["Never knows tomorrow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475072294.mp3","http://music.163.com/song/media/outer/url?id=475072294.mp3"],
["冲出你的窗口","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139366.mp3","http://music.163.com/song/media/outer/url?id=139366.mp3"],
["狗屁青春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475073277.mp3","http://music.163.com/song/media/outer/url?id=475073277.mp3"],
["来不及","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139348.mp3","http://music.163.com/song/media/outer/url?id=139348.mp3"],
["傲慢的上校","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139345.mp3","http://music.163.com/song/media/outer/url?id=139345.mp3"],
["Colorful Days","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139351.mp3","http://music.163.com/song/media/outer/url?id=139351.mp3"],
["傻子才悲伤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139339.mp3","http://music.163.com/song/media/outer/url?id=139339.mp3"],
["别，千万别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139383.mp3","http://music.163.com/song/media/outer/url?id=139383.mp3"],
["活着","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139387.mp3","http://music.163.com/song/media/outer/url?id=139387.mp3"],
["Never Knows Tomorrow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518895138.mp3","http://music.163.com/song/media/outer/url?id=518895138.mp3"],
["九月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139390.mp3","http://music.163.com/song/media/outer/url?id=139390.mp3"],
["Forever Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518894128.mp3","http://music.163.com/song/media/outer/url?id=518894128.mp3"],
["火车开往冬天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139391.mp3","http://music.163.com/song/media/outer/url?id=139391.mp3"],
["Track 07","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518904117.mp3","http://music.163.com/song/media/outer/url?id=518904117.mp3"],
["Radio In My Head","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139334.mp3","http://music.163.com/song/media/outer/url?id=139334.mp3"],
["Hey，我在","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139328.mp3","http://music.163.com/song/media/outer/url?id=139328.mp3"],
["今夜的滋味","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139353.mp3","http://music.163.com/song/media/outer/url?id=139353.mp3"],
["妈妈，我...","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139373.mp3","http://music.163.com/song/media/outer/url?id=139373.mp3"],
["La Perte (失去)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139360.mp3","http://music.163.com/song/media/outer/url?id=139360.mp3"],
["召唤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139389.mp3","http://music.163.com/song/media/outer/url?id=139389.mp3"],
["XX青春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518904116.mp3","http://music.163.com/song/media/outer/url?id=518904116.mp3"],
["世界尽头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191328.mp3","http://music.163.com/song/media/outer/url?id=191328.mp3"],
["我去2000年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139379.mp3","http://music.163.com/song/media/outer/url?id=139379.mp3"],
["苏珊的舞鞋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=139355.mp3","http://music.163.com/song/media/outer/url?id=139355.mp3"],
["生如夏花+平凡之路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526464651.mp3","http://music.163.com/song/media/outer/url?id=526464651.mp3"],
["别, 千万别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28996925.mp3","http://music.163.com/song/media/outer/url?id=28996925.mp3"],
["妈妈, 我...","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28996920.mp3","http://music.163.com/song/media/outer/url?id=28996920.mp3"],
["X X青春 (Live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553543176.mp3","http://music.163.com/song/media/outer/url?id=553543176.mp3"]
]
#S H E
she = [
["你曾是少年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426027293.mp3","http://music.163.com/song/media/outer/url?id=426027293.mp3"],
["Super Star","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375762.mp3","http://music.163.com/song/media/outer/url?id=375762.mp3"],
["恋人未满","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375917.mp3","http://music.163.com/song/media/outer/url?id=375917.mp3"],
["安静了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375020.mp3","http://music.163.com/song/media/outer/url?id=375020.mp3"],
["不想长大","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375381.mp3","http://music.163.com/song/media/outer/url?id=375381.mp3"],
["一眼万年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4874862.mp3","http://music.163.com/song/media/outer/url?id=4874862.mp3"],
["中国话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375085.mp3","http://music.163.com/song/media/outer/url?id=375085.mp3"],
["爱上你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374890.mp3","http://music.163.com/song/media/outer/url?id=374890.mp3"],
["天灰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375394.mp3","http://music.163.com/song/media/outer/url?id=375394.mp3"],
["最近还好吗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4873602.mp3","http://music.163.com/song/media/outer/url?id=4873602.mp3"],
["触电","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375295.mp3","http://music.163.com/song/media/outer/url?id=375295.mp3"],
["怎么办","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5247683.mp3","http://music.163.com/song/media/outer/url?id=5247683.mp3"],
["十七","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305366827.mp3","http://music.163.com/song/media/outer/url?id=1305366827.mp3"],
["手牵手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5268423.mp3","http://music.163.com/song/media/outer/url?id=5268423.mp3"],
["波斯猫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375660.mp3","http://music.163.com/song/media/outer/url?id=375660.mp3"],
["他还是不懂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375667.mp3","http://music.163.com/song/media/outer/url?id=375667.mp3"],
["热带雨林","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375892.mp3","http://music.163.com/song/media/outer/url?id=375892.mp3"],
["新窝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=354549.mp3","http://music.163.com/song/media/outer/url?id=354549.mp3"],
["半糖主义","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375774.mp3","http://music.163.com/song/media/outer/url?id=375774.mp3"],
["伤心的人别听慢歌 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541511123.mp3","http://music.163.com/song/media/outer/url?id=541511123.mp3"],
["谢谢你的温柔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375090.mp3","http://music.163.com/song/media/outer/url?id=375090.mp3"],
["两个人的荒岛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374875.mp3","http://music.163.com/song/media/outer/url?id=374875.mp3"],
["五月天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375100.mp3","http://music.163.com/song/media/outer/url?id=375100.mp3"],
["候鸟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375624.mp3","http://music.163.com/song/media/outer/url?id=375624.mp3"],
["沿海公路的出口","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374999.mp3","http://music.163.com/song/media/outer/url?id=374999.mp3"],
["听袁惟仁弹吉他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375095.mp3","http://music.163.com/song/media/outer/url?id=375095.mp3"],
["我爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374959.mp3","http://music.163.com/song/media/outer/url?id=374959.mp3"],
["天亮了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375004.mp3","http://music.163.com/song/media/outer/url?id=375004.mp3"],
["紫藤花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375308.mp3","http://music.163.com/song/media/outer/url?id=375308.mp3"],
["不做你的朋友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375390.mp3","http://music.163.com/song/media/outer/url?id=375390.mp3"],
["酸甜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375043.mp3","http://music.163.com/song/media/outer/url?id=375043.mp3"],
["痛快","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375627.mp3","http://music.163.com/song/media/outer/url?id=375627.mp3"],
["爱我的资格","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375899.mp3","http://music.163.com/song/media/outer/url?id=375899.mp3"],
["你不会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374894.mp3","http://music.163.com/song/media/outer/url?id=374894.mp3"],
["我爱雨夜花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374871.mp3","http://music.163.com/song/media/outer/url?id=374871.mp3"],
["简单爱(Ella solo)(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374753.mp3","http://music.163.com/song/media/outer/url?id=374753.mp3"],
["美丽新世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375852.mp3","http://music.163.com/song/media/outer/url?id=375852.mp3"],
["爱来过","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4873604.mp3","http://music.163.com/song/media/outer/url?id=4873604.mp3"],
["星光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375352.mp3","http://music.163.com/song/media/outer/url?id=375352.mp3"],
["月桂女神","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375397.mp3","http://music.163.com/song/media/outer/url?id=375397.mp3"],
["花又开好了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22854002.mp3","http://music.163.com/song/media/outer/url?id=22854002.mp3"],
["Shero","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374866.mp3","http://music.163.com/song/media/outer/url?id=374866.mp3"],
["远方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375766.mp3","http://music.163.com/song/media/outer/url?id=375766.mp3"],
["612 星球","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375028.mp3","http://music.163.com/song/media/outer/url?id=375028.mp3"],
["天使在唱歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375812.mp3","http://music.163.com/song/media/outer/url?id=375812.mp3"],
["亲爱的树洞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22854005.mp3","http://music.163.com/song/media/outer/url?id=22854005.mp3"],
["记得要忘记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375894.mp3","http://music.163.com/song/media/outer/url?id=375894.mp3"],
["梦田","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=374914.mp3","http://music.163.com/song/media/outer/url?id=374914.mp3"],
["你太诚实","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375791.mp3","http://music.163.com/song/media/outer/url?id=375791.mp3"],
["别说对不起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=375630.mp3","http://music.163.com/song/media/outer/url?id=375630.mp3"]
]
#孙燕姿
sunyanzi = [
["遇见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287035.mp3","http://music.163.com/song/media/outer/url?id=287035.mp3"],
["我怀念的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287063.mp3","http://music.163.com/song/media/outer/url?id=287063.mp3"],
["开始懂了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287719.mp3","http://music.163.com/song/media/outer/url?id=287719.mp3"],
["半句再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=548556869.mp3","http://music.163.com/song/media/outer/url?id=548556869.mp3"],
["第一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287248.mp3","http://music.163.com/song/media/outer/url?id=287248.mp3"],
["天黑黑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287749.mp3","http://music.163.com/song/media/outer/url?id=287749.mp3"],
["我不难过","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287398.mp3","http://music.163.com/song/media/outer/url?id=287398.mp3"],
["逆光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287057.mp3","http://music.163.com/song/media/outer/url?id=287057.mp3"],
["绿光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287021.mp3","http://music.163.com/song/media/outer/url?id=287021.mp3"],
["尚好的青春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28283346.mp3","http://music.163.com/song/media/outer/url?id=28283346.mp3"],
["雨天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=286980.mp3","http://music.163.com/song/media/outer/url?id=286980.mp3"],
["180度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=286966.mp3","http://music.163.com/song/media/outer/url?id=286966.mp3"],
["克卜勒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28196001.mp3","http://music.163.com/song/media/outer/url?id=28196001.mp3"],
["Hey Jude","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287565.mp3","http://music.163.com/song/media/outer/url?id=287565.mp3"],
["我也很想他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287280.mp3","http://music.163.com/song/media/outer/url?id=287280.mp3"],
["手牵手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5268423.mp3","http://music.163.com/song/media/outer/url?id=5268423.mp3"],
["当冬夜渐暖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=286959.mp3","http://music.163.com/song/media/outer/url?id=286959.mp3"],
["愚人的国度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=286970.mp3","http://music.163.com/song/media/outer/url?id=286970.mp3"],
["Honey Honey","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287251.mp3","http://music.163.com/song/media/outer/url?id=287251.mp3"],
["原来你什么都不要","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287575.mp3","http://music.163.com/song/media/outer/url?id=287575.mp3"],
["Tonight, I Feel Close To You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287375.mp3","http://music.163.com/song/media/outer/url?id=287375.mp3"],
["在,也不见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=408212737.mp3","http://music.163.com/song/media/outer/url?id=408212737.mp3"],
["眼泪成诗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287041.mp3","http://music.163.com/song/media/outer/url?id=287041.mp3"],
["同类","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287287.mp3","http://music.163.com/song/media/outer/url?id=287287.mp3"],
["咕叽咕叽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287061.mp3","http://music.163.com/song/media/outer/url?id=287061.mp3"],
["直来直往","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287039.mp3","http://music.163.com/song/media/outer/url?id=287039.mp3"],
["逃亡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287617.mp3","http://music.163.com/song/media/outer/url?id=287617.mp3"],
["原点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287025.mp3","http://music.163.com/song/media/outer/url?id=287025.mp3"],
["明天的记忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=286965.mp3","http://music.163.com/song/media/outer/url?id=286965.mp3"],
["坏天气","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287717.mp3","http://music.163.com/song/media/outer/url?id=287717.mp3"],
["害怕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=286992.mp3","http://music.163.com/song/media/outer/url?id=286992.mp3"],
["不是真的爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287620.mp3","http://music.163.com/song/media/outer/url?id=287620.mp3"],
["感动每一刻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108362.mp3","http://music.163.com/song/media/outer/url?id=108362.mp3"],
["天使的指纹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28274554.mp3","http://music.163.com/song/media/outer/url?id=28274554.mp3"],
["我的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287274.mp3","http://music.163.com/song/media/outer/url?id=287274.mp3"],
["隐形人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287031.mp3","http://music.163.com/song/media/outer/url?id=287031.mp3"],
["神奇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287384.mp3","http://music.163.com/song/media/outer/url?id=287384.mp3"],
["她们的歌(遇见/记得/我也很想他/人质/天黑黑/真实/我要的幸福/我要快乐)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26590074.mp3","http://music.163.com/song/media/outer/url?id=26590074.mp3"],
["和平","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287757.mp3","http://music.163.com/song/media/outer/url?id=287757.mp3"],
["渴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28283344.mp3","http://music.163.com/song/media/outer/url?id=28283344.mp3"],
["飘着","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287067.mp3","http://music.163.com/song/media/outer/url?id=287067.mp3"],
["漩涡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287071.mp3","http://music.163.com/song/media/outer/url?id=287071.mp3"],
["相信","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287724.mp3","http://music.163.com/song/media/outer/url?id=287724.mp3"],
["安宁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287065.mp3","http://music.163.com/song/media/outer/url?id=287065.mp3"],
["无限大","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28283345.mp3","http://music.163.com/song/media/outer/url?id=28283345.mp3"],
["王子面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386482.mp3","http://music.163.com/song/media/outer/url?id=386482.mp3"],
["风筝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287614.mp3","http://music.163.com/song/media/outer/url?id=287614.mp3"],
["有一点动心(live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33361687.mp3","http://music.163.com/song/media/outer/url?id=33361687.mp3"],
["爱情证书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287019.mp3","http://music.163.com/song/media/outer/url?id=287019.mp3"],
["一样的夏天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287124.mp3","http://music.163.com/song/media/outer/url?id=287124.mp3"]
]
#孙楠
sunnan = [
["拯救","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145586.mp3","http://music.163.com/song/media/outer/url?id=145586.mp3"],
["美丽的神话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145424.mp3","http://music.163.com/song/media/outer/url?id=145424.mp3"],
["只要有你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4878242.mp3","http://music.163.com/song/media/outer/url?id=4878242.mp3"],
["留什么给你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145662.mp3","http://music.163.com/song/media/outer/url?id=145662.mp3"],
["小英雄哪吒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188452.mp3","http://music.163.com/song/media/outer/url?id=28188452.mp3"],
["风往北吹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145695.mp3","http://music.163.com/song/media/outer/url?id=145695.mp3"],
["美丽的神话Ⅱ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4875144.mp3","http://music.163.com/song/media/outer/url?id=4875144.mp3"],
["你快回来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145650.mp3","http://music.163.com/song/media/outer/url?id=145650.mp3"],
["无愧于心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4878241.mp3","http://music.163.com/song/media/outer/url?id=4878241.mp3"],
["红旗飘飘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145754.mp3","http://music.163.com/song/media/outer/url?id=145754.mp3"],
["相亲相爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5243776.mp3","http://music.163.com/song/media/outer/url?id=5243776.mp3"],
["是否爱过我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145566.mp3","http://music.163.com/song/media/outer/url?id=145566.mp3"],
["不见不散","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145653.mp3","http://music.163.com/song/media/outer/url?id=145653.mp3"],
["缘份的天空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145593.mp3","http://music.163.com/song/media/outer/url?id=145593.mp3"],
["让梦冬眠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145572.mp3","http://music.163.com/song/media/outer/url?id=145572.mp3"],
["时间的远方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344032733.mp3","http://music.163.com/song/media/outer/url?id=1344032733.mp3"],
["爱你爱不够","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145371.mp3","http://music.163.com/song/media/outer/url?id=145371.mp3"],
["不灭的心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27946614.mp3","http://music.163.com/song/media/outer/url?id=27946614.mp3"],
["站起来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250122.mp3","http://music.163.com/song/media/outer/url?id=5250122.mp3"],
["为江山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=452601273.mp3","http://music.163.com/song/media/outer/url?id=452601273.mp3"],
["因为有你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135430.mp3","http://music.163.com/song/media/outer/url?id=135430.mp3"],
["命中注定","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32807305.mp3","http://music.163.com/song/media/outer/url?id=32807305.mp3"],
["I Believe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145607.mp3","http://music.163.com/song/media/outer/url?id=145607.mp3"],
["追寻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=149100.mp3","http://music.163.com/song/media/outer/url?id=149100.mp3"],
["崛起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5235411.mp3","http://music.163.com/song/media/outer/url?id=5235411.mp3"],
["净土","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145325.mp3","http://music.163.com/song/media/outer/url?id=145325.mp3"],
["讲不出再见 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877547.mp3","http://music.163.com/song/media/outer/url?id=31877547.mp3"],
["跟你一辈子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=308834.mp3","http://music.163.com/song/media/outer/url?id=308834.mp3"],
["亲爱的孩子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1309903044.mp3","http://music.163.com/song/media/outer/url?id=1309903044.mp3"],
["歌舞：时间的远方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344032233.mp3","http://music.163.com/song/media/outer/url?id=1344032233.mp3"],
["歌曲：新的天地","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=542690020.mp3","http://music.163.com/song/media/outer/url?id=542690020.mp3"],
["全部的爱(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877514.mp3","http://music.163.com/song/media/outer/url?id=31877514.mp3"],
["至少还有你 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877161.mp3","http://music.163.com/song/media/outer/url?id=31877161.mp3"],
["真情真美","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145547.mp3","http://music.163.com/song/media/outer/url?id=145547.mp3"],
["这一次我绝不放手 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877251.mp3","http://music.163.com/song/media/outer/url?id=31877251.mp3"],
["燃烧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145519.mp3","http://music.163.com/song/media/outer/url?id=145519.mp3"],
["你快回来 + 今夜无人入眠(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877607.mp3","http://music.163.com/song/media/outer/url?id=31877607.mp3"],
["谁的心忘了收","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145656.mp3","http://music.163.com/song/media/outer/url?id=145656.mp3"],
["突然想爱你 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877487.mp3","http://music.163.com/song/media/outer/url?id=31877487.mp3"],
["也许在","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145308.mp3","http://music.163.com/song/media/outer/url?id=145308.mp3"],
["执迷不悔 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877543.mp3","http://music.163.com/song/media/outer/url?id=31877543.mp3"],
["只要和你走下去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33941623.mp3","http://music.163.com/song/media/outer/url?id=33941623.mp3"],
["牵挂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29414072.mp3","http://music.163.com/song/media/outer/url?id=29414072.mp3"],
["传奇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145332.mp3","http://music.163.com/song/media/outer/url?id=145332.mp3"],
["为爱说抱歉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145559.mp3","http://music.163.com/song/media/outer/url?id=145559.mp3"],
["梦开始的地方 + 草原上升起不落的太阳 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877134.mp3","http://music.163.com/song/media/outer/url?id=31877134.mp3"],
["花瓣雨 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877520.mp3","http://music.163.com/song/media/outer/url?id=31877520.mp3"],
["永远不回头 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877568.mp3","http://music.163.com/song/media/outer/url?id=31877568.mp3"],
["你太可贵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145354.mp3","http://music.163.com/song/media/outer/url?id=145354.mp3"],
["生死不离","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251096.mp3","http://music.163.com/song/media/outer/url?id=5251096.mp3"]
]
#汪峰
wangfeng = [
["像梦一样自由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155883.mp3","http://music.163.com/song/media/outer/url?id=155883.mp3"],
["美丽世界的孤儿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156053.mp3","http://music.163.com/song/media/outer/url?id=156053.mp3"],
["在雨中","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155984.mp3","http://music.163.com/song/media/outer/url?id=155984.mp3"],
["花火","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156050.mp3","http://music.163.com/song/media/outer/url?id=156050.mp3"],
["我爱你中国 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25714338.mp3","http://music.163.com/song/media/outer/url?id=25714338.mp3"],
["青春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156056.mp3","http://music.163.com/song/media/outer/url?id=156056.mp3"],
["硬币","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155966.mp3","http://music.163.com/song/media/outer/url?id=155966.mp3"],
["礼物","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409302053.mp3","http://music.163.com/song/media/outer/url?id=409302053.mp3"],
["飞得更高(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155942.mp3","http://music.163.com/song/media/outer/url?id=155942.mp3"],
["绽放","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155970.mp3","http://music.163.com/song/media/outer/url?id=155970.mp3"],
["生来孤独","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155987.mp3","http://music.163.com/song/media/outer/url?id=155987.mp3"],
["像个孩子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155913.mp3","http://music.163.com/song/media/outer/url?id=155913.mp3"],
["沧浪之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29807011.mp3","http://music.163.com/song/media/outer/url?id=29807011.mp3"],
["恒星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155911.mp3","http://music.163.com/song/media/outer/url?id=155911.mp3"],
["为了让生活继续","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155909.mp3","http://music.163.com/song/media/outer/url?id=155909.mp3"],
["为生命喝彩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250125.mp3","http://music.163.com/song/media/outer/url?id=5250125.mp3"],
["旅途","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155915.mp3","http://music.163.com/song/media/outer/url?id=155915.mp3"],
["因为有你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135430.mp3","http://music.163.com/song/media/outer/url?id=135430.mp3"],
["爱是一颗幸福的子弹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155991.mp3","http://music.163.com/song/media/outer/url?id=155991.mp3"],
["石头在歌唱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=293966.mp3","http://music.163.com/song/media/outer/url?id=293966.mp3"],
["直到永远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251087.mp3","http://music.163.com/song/media/outer/url?id=5251087.mp3"],
["再见二十世纪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156004.mp3","http://music.163.com/song/media/outer/url?id=156004.mp3"],
["笑着哭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155964.mp3","http://music.163.com/song/media/outer/url?id=155964.mp3"],
["英雄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155989.mp3","http://music.163.com/song/media/outer/url?id=155989.mp3"],
["长安街上","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155912.mp3","http://music.163.com/song/media/outer/url?id=155912.mp3"],
["晚安北京(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155956.mp3","http://music.163.com/song/media/outer/url?id=155956.mp3"],
["碎梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155916.mp3","http://music.163.com/song/media/outer/url?id=155916.mp3"],
["妈妈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156059.mp3","http://music.163.com/song/media/outer/url?id=156059.mp3"],
["窗台","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155986.mp3","http://music.163.com/song/media/outer/url?id=155986.mp3"],
["彼岸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155959.mp3","http://music.163.com/song/media/outer/url?id=155959.mp3"],
["雪钟花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155914.mp3","http://music.163.com/song/media/outer/url?id=155914.mp3"],
["Song of Redemption","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30431206.mp3","http://music.163.com/song/media/outer/url?id=30431206.mp3"],
["迷鹿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156051.mp3","http://music.163.com/song/media/outer/url?id=156051.mp3"],
["春天里 伴奏 C调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=533075841.mp3","http://music.163.com/song/media/outer/url?id=533075841.mp3"],
["那年我五岁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528272123.mp3","http://music.163.com/song/media/outer/url?id=528272123.mp3"],
["生命中的一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155968.mp3","http://music.163.com/song/media/outer/url?id=155968.mp3"],
["我在长大","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155977.mp3","http://music.163.com/song/media/outer/url?id=155977.mp3"],
["我的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155985.mp3","http://music.163.com/song/media/outer/url?id=155985.mp3"],
["我真的需要(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155927.mp3","http://music.163.com/song/media/outer/url?id=155927.mp3"],
["早安，女士","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156049.mp3","http://music.163.com/song/media/outer/url?id=156049.mp3"],
["小鸟(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155933.mp3","http://music.163.com/song/media/outer/url?id=155933.mp3"],
["尘土","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155974.mp3","http://music.163.com/song/media/outer/url?id=155974.mp3"],
["东北偏北","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156052.mp3","http://music.163.com/song/media/outer/url?id=156052.mp3"],
["最后一次我见到你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155993.mp3","http://music.163.com/song/media/outer/url?id=155993.mp3"],
["Main Melody","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156017.mp3","http://music.163.com/song/media/outer/url?id=156017.mp3"],
["我爱你，生活","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156054.mp3","http://music.163.com/song/media/outer/url?id=156054.mp3"],
["十二月的泪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155980.mp3","http://music.163.com/song/media/outer/url?id=155980.mp3"],
["去无方向","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156003.mp3","http://music.163.com/song/media/outer/url?id=156003.mp3"],
["你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=155999.mp3","http://music.163.com/song/media/outer/url?id=155999.mp3"],
["Riding Bike","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156021.mp3","http://music.163.com/song/media/outer/url?id=156021.mp3"]
]
#王菲
wangfei = [
["匆匆那年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29713754.mp3","http://music.163.com/song/media/outer/url?id=29713754.mp3"],
["红豆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299757.mp3","http://music.163.com/song/media/outer/url?id=299757.mp3"],
["你在终点等我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=431357712.mp3","http://music.163.com/song/media/outer/url?id=431357712.mp3"],
["因为爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64317.mp3","http://music.163.com/song/media/outer/url?id=64317.mp3"],
["人间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300062.mp3","http://music.163.com/song/media/outer/url?id=300062.mp3"],
["暗涌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300136.mp3","http://music.163.com/song/media/outer/url?id=300136.mp3"],
["暧昧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299981.mp3","http://music.163.com/song/media/outer/url?id=299981.mp3"],
["笑忘书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299601.mp3","http://music.163.com/song/media/outer/url?id=299601.mp3"],
["容易受伤的女人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298880.mp3","http://music.163.com/song/media/outer/url?id=298880.mp3"],
["约定","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299116.mp3","http://music.163.com/song/media/outer/url?id=299116.mp3"],
["流年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299445.mp3","http://music.163.com/song/media/outer/url?id=299445.mp3"],
["给自己的情书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299604.mp3","http://music.163.com/song/media/outer/url?id=299604.mp3"],
["爱与痛的边缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299090.mp3","http://music.163.com/song/media/outer/url?id=299090.mp3"],
["闷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300058.mp3","http://music.163.com/song/media/outer/url?id=300058.mp3"],
["矜持","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300129.mp3","http://music.163.com/song/media/outer/url?id=300129.mp3"],
["传奇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298838.mp3","http://music.163.com/song/media/outer/url?id=298838.mp3"],
["致青春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26207292.mp3","http://music.163.com/song/media/outer/url?id=26207292.mp3"],
["邮差","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299460.mp3","http://music.163.com/song/media/outer/url?id=299460.mp3"],
["开到荼蘼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299427.mp3","http://music.163.com/song/media/outer/url?id=299427.mp3"],
["清风徐来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34586075.mp3","http://music.163.com/song/media/outer/url?id=34586075.mp3"],
["百年孤寂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299650.mp3","http://music.163.com/song/media/outer/url?id=299650.mp3"],
["旋木","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299264.mp3","http://music.163.com/song/media/outer/url?id=299264.mp3"],
["如风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299352.mp3","http://music.163.com/song/media/outer/url?id=299352.mp3"],
["尘埃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=422132597.mp3","http://music.163.com/song/media/outer/url?id=422132597.mp3"],
["执迷不悔 (粤语版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300587.mp3","http://music.163.com/song/media/outer/url?id=300587.mp3"],
["梦中人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=68350.mp3","http://music.163.com/song/media/outer/url?id=68350.mp3"],
["催眠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299644.mp3","http://music.163.com/song/media/outer/url?id=299644.mp3"],
["怀念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300066.mp3","http://music.163.com/song/media/outer/url?id=300066.mp3"],
["你快乐(所以我快乐)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300055.mp3","http://music.163.com/song/media/outer/url?id=300055.mp3"],
["我愿意","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5244822.mp3","http://music.163.com/song/media/outer/url?id=5244822.mp3"],
["相约一九九八","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5272610.mp3","http://music.163.com/song/media/outer/url?id=5272610.mp3"],
["乘客","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299258.mp3","http://music.163.com/song/media/outer/url?id=299258.mp3"],
["但愿人长久","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299714.mp3","http://music.163.com/song/media/outer/url?id=299714.mp3"],
["棋子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298900.mp3","http://music.163.com/song/media/outer/url?id=298900.mp3"],
["无问西东","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=528478901.mp3","http://music.163.com/song/media/outer/url?id=528478901.mp3"],
["清平调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31917312.mp3","http://music.163.com/song/media/outer/url?id=31917312.mp3"],
["南海姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300222.mp3","http://music.163.com/song/media/outer/url?id=300222.mp3"],
["最好的声音","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5277180.mp3","http://music.163.com/song/media/outer/url?id=5277180.mp3"],
["天空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300333.mp3","http://music.163.com/song/media/outer/url?id=300333.mp3"],
["不眠飞行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299521.mp3","http://music.163.com/song/media/outer/url?id=299521.mp3"],
["偿还","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299448.mp3","http://music.163.com/song/media/outer/url?id=299448.mp3"],
["相约九八","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5269071.mp3","http://music.163.com/song/media/outer/url?id=5269071.mp3"],
["当时的月亮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299432.mp3","http://music.163.com/song/media/outer/url?id=299432.mp3"],
["我也不想这样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300063.mp3","http://music.163.com/song/media/outer/url?id=300063.mp3"],
["我爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191316.mp3","http://music.163.com/song/media/outer/url?id=191316.mp3"],
["不留","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299252.mp3","http://music.163.com/song/media/outer/url?id=299252.mp3"],
["打错了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299510.mp3","http://music.163.com/song/media/outer/url?id=299510.mp3"],
["童","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299939.mp3","http://music.163.com/song/media/outer/url?id=299939.mp3"],
["金刚经","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298867.mp3","http://music.163.com/song/media/outer/url?id=298867.mp3"],
["等等","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299509.mp3","http://music.163.com/song/media/outer/url?id=299509.mp3"]
]
#王力宏
wanglihong = [
["Bridge of Faith","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461519911.mp3","http://music.163.com/song/media/outer/url?id=461519911.mp3"],
["需要人陪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643291.mp3","http://music.163.com/song/media/outer/url?id=25643291.mp3"],
["好心分手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27713963.mp3","http://music.163.com/song/media/outer/url?id=27713963.mp3"],
["你不知道的事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642125.mp3","http://music.163.com/song/media/outer/url?id=25642125.mp3"],
["唯一","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483167.mp3","http://music.163.com/song/media/outer/url?id=27483167.mp3"],
["飘向北方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461864856.mp3","http://music.163.com/song/media/outer/url?id=461864856.mp3"],
["爱的就是你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643327.mp3","http://music.163.com/song/media/outer/url?id=25643327.mp3"],
["另一个天堂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5233037.mp3","http://music.163.com/song/media/outer/url?id=5233037.mp3"],
["你是我心内的一首歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5239564.mp3","http://music.163.com/song/media/outer/url?id=5239564.mp3"],
["大城小爱(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643093.mp3","http://music.163.com/song/media/outer/url?id=25643093.mp3"],
["爱你等于爱自己","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643227.mp3","http://music.163.com/song/media/outer/url?id=25643227.mp3"],
["手牵手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5268423.mp3","http://music.163.com/song/media/outer/url?id=5268423.mp3"],
["雪人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5257150.mp3","http://music.163.com/song/media/outer/url?id=5257150.mp3"],
["春雨里洗过的太阳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5235474.mp3","http://music.163.com/song/media/outer/url?id=5235474.mp3"],
["心跳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642151.mp3","http://music.163.com/song/media/outer/url?id=25642151.mp3"],
["龙的传人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643359.mp3","http://music.163.com/song/media/outer/url?id=25643359.mp3"],
["美","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643275.mp3","http://music.163.com/song/media/outer/url?id=25643275.mp3"],
["火力全开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642119.mp3","http://music.163.com/song/media/outer/url?id=25642119.mp3"],
["不可能错过你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642788.mp3","http://music.163.com/song/media/outer/url?id=25642788.mp3"],
["花田错(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642227.mp3","http://music.163.com/song/media/outer/url?id=25642227.mp3"],
["伯牙绝弦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643268.mp3","http://music.163.com/song/media/outer/url?id=25643268.mp3"],
["One Shot","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25794006.mp3","http://music.163.com/song/media/outer/url?id=25794006.mp3"],
["你不在(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642239.mp3","http://music.163.com/song/media/outer/url?id=25642239.mp3"],
["改变自己(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642225.mp3","http://music.163.com/song/media/outer/url?id=25642225.mp3"],
["让我取暖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5257143.mp3","http://music.163.com/song/media/outer/url?id=5257143.mp3"],
["KISS GOODBYE(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642208.mp3","http://music.163.com/song/media/outer/url?id=25642208.mp3"],
["和未来有约(原版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5273791.mp3","http://music.163.com/song/media/outer/url?id=5273791.mp3"],
["公转自转","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643299.mp3","http://music.163.com/song/media/outer/url?id=25643299.mp3"],
["FLOW","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=422463810.mp3","http://music.163.com/song/media/outer/url?id=422463810.mp3"],
["Julia","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642769.mp3","http://music.163.com/song/media/outer/url?id=25642769.mp3"],
["柴米油盐酱醋茶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643271.mp3","http://music.163.com/song/media/outer/url?id=25643271.mp3"],
["一首简单的歌(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642258.mp3","http://music.163.com/song/media/outer/url?id=25642258.mp3"],
["盖世英雄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642114.mp3","http://music.163.com/song/media/outer/url?id=25642114.mp3"],
["比你更好(粤语版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28660644.mp3","http://music.163.com/song/media/outer/url?id=28660644.mp3"],
["巴洛克先生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25794005.mp3","http://music.163.com/song/media/outer/url?id=25794005.mp3"],
["你是我心內的一首歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28432280.mp3","http://music.163.com/song/media/outer/url?id=28432280.mp3"],
["At the Border","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461518963.mp3","http://music.163.com/song/media/outer/url?id=461518963.mp3"],
["心中的日月(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642252.mp3","http://music.163.com/song/media/outer/url?id=25642252.mp3"],
["十八般武艺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643284.mp3","http://music.163.com/song/media/outer/url?id=25643284.mp3"],
["花田錯Remix","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32711685.mp3","http://music.163.com/song/media/outer/url?id=32711685.mp3"],
["流泪手心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642800.mp3","http://music.163.com/song/media/outer/url?id=25642800.mp3"],
["FOREVER LOVE(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642206.mp3","http://music.163.com/song/media/outer/url?id=25642206.mp3"],
["如果你听见我的歌(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642244.mp3","http://music.163.com/song/media/outer/url?id=25642244.mp3"],
["十二生肖 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25714320.mp3","http://music.163.com/song/media/outer/url?id=25714320.mp3"],
["第一个清晨(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642223.mp3","http://music.163.com/song/media/outer/url?id=25642223.mp3"],
["安全感","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483170.mp3","http://music.163.com/song/media/outer/url?id=27483170.mp3"],
["不要害怕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27591648.mp3","http://music.163.com/song/media/outer/url?id=27591648.mp3"],
["花田错 + 心中的日月 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33497035.mp3","http://music.163.com/song/media/outer/url?id=33497035.mp3"],
["DO U Love Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643273.mp3","http://music.163.com/song/media/outer/url?id=25643273.mp3"],
["天涯海角","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643287.mp3","http://music.163.com/song/media/outer/url?id=25643287.mp3"]
]
#吴亦凡
wuyifan = [
["大碗宽面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1359595520.mp3","http://music.163.com/song/media/outer/url?id=1359595520.mp3"],
["My Way (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1371760071.mp3","http://music.163.com/song/media/outer/url?id=1371760071.mp3"],
["JULY","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=438801442.mp3","http://music.163.com/song/media/outer/url?id=438801442.mp3"],
["天地","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=571068108.mp3","http://music.163.com/song/media/outer/url?id=571068108.mp3"],
["制作人cypher (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1293951024.mp3","http://music.163.com/song/media/outer/url?id=1293951024.mp3"],
["Like That","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=562598085.mp3","http://music.163.com/song/media/outer/url?id=562598085.mp3"],
["November Rain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321424571.mp3","http://music.163.com/song/media/outer/url?id=1321424571.mp3"],
["Coupe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321382025.mp3","http://music.163.com/song/media/outer/url?id=1321382025.mp3"],
["花房姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38679966.mp3","http://music.163.com/song/media/outer/url?id=38679966.mp3"],
["Hold Me Down (中文版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1299571000.mp3","http://music.163.com/song/media/outer/url?id=1299571000.mp3"],
["Young OG (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1297743783.mp3","http://music.163.com/song/media/outer/url?id=1297743783.mp3"],
["刀剑如梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428642778.mp3","http://music.163.com/song/media/outer/url?id=428642778.mp3"],
["Deserve (Lido Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1338746736.mp3","http://music.163.com/song/media/outer/url?id=1338746736.mp3"],
["悟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1317145231.mp3","http://music.163.com/song/media/outer/url?id=1317145231.mp3"],
["家人 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306507051.mp3","http://music.163.com/song/media/outer/url?id=1306507051.mp3"],
["英雄之火+不灭火 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313052973.mp3","http://music.163.com/song/media/outer/url?id=1313052973.mp3"],
["Freedom","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321382629.mp3","http://music.163.com/song/media/outer/url?id=1321382629.mp3"],
["Call You Mine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28310623.mp3","http://music.163.com/song/media/outer/url?id=28310623.mp3"],
["Antares","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321385577.mp3","http://music.163.com/song/media/outer/url?id=1321385577.mp3"],
["You’d Better Run (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313107928.mp3","http://music.163.com/song/media/outer/url?id=1313107928.mp3"],
["Selfish","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321382628.mp3","http://music.163.com/song/media/outer/url?id=1321382628.mp3"],
["乖乖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447926698.mp3","http://music.163.com/song/media/outer/url?id=447926698.mp3"],
["Tough Pill","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321385579.mp3","http://music.163.com/song/media/outer/url?id=1321385579.mp3"],
["We Alive","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321392581.mp3","http://music.163.com/song/media/outer/url?id=1321392581.mp3"],
["Explore","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321424575.mp3","http://music.163.com/song/media/outer/url?id=1321424575.mp3"],
["有一个地方remix","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31149792.mp3","http://music.163.com/song/media/outer/url?id=31149792.mp3"],
["All Of Me(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29922008.mp3","http://music.163.com/song/media/outer/url?id=29922008.mp3"],
["One Dream(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28593185.mp3","http://music.163.com/song/media/outer/url?id=28593185.mp3"]
]
#五月天
wuyuetian = [
["后来的我们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553310243.mp3","http://music.163.com/song/media/outer/url?id=553310243.mp3"],
["知足","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385965.mp3","http://music.163.com/song/media/outer/url?id=385965.mp3"],
["温柔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386538.mp3","http://music.163.com/song/media/outer/url?id=386538.mp3"],
["倔强","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386175.mp3","http://music.163.com/song/media/outer/url?id=386175.mp3"],
["第一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287248.mp3","http://music.163.com/song/media/outer/url?id=287248.mp3"],
["恋爱ing","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385973.mp3","http://music.163.com/song/media/outer/url?id=385973.mp3"],
["黑暗骑士","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25794008.mp3","http://music.163.com/song/media/outer/url?id=25794008.mp3"],
["拥抱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386542.mp3","http://music.163.com/song/media/outer/url?id=386542.mp3"],
["听不到","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386425.mp3","http://music.163.com/song/media/outer/url?id=386425.mp3"],
["时光机","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386469.mp3","http://music.163.com/song/media/outer/url?id=386469.mp3"],
["志明与春娇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386936.mp3","http://music.163.com/song/media/outer/url?id=386936.mp3"],
["伤心的人别听慢歌 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541511123.mp3","http://music.163.com/song/media/outer/url?id=541511123.mp3"],
["咸鱼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386040.mp3","http://music.163.com/song/media/outer/url?id=386040.mp3"],
["离开地球表面 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26608581.mp3","http://music.163.com/song/media/outer/url?id=26608581.mp3"],
["让我照顾你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386181.mp3","http://music.163.com/song/media/outer/url?id=386181.mp3"],
["超人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386191.mp3","http://music.163.com/song/media/outer/url?id=386191.mp3"],
["一颗苹果","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386691.mp3","http://music.163.com/song/media/outer/url?id=386691.mp3"],
["错错错","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386187.mp3","http://music.163.com/song/media/outer/url?id=386187.mp3"],
["而我知道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385984.mp3","http://music.163.com/song/media/outer/url?id=385984.mp3"],
["彩虹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386545.mp3","http://music.163.com/song/media/outer/url?id=386545.mp3"],
["人生海海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386717.mp3","http://music.163.com/song/media/outer/url?id=386717.mp3"],
["孙悟空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386173.mp3","http://music.163.com/song/media/outer/url?id=386173.mp3"],
["爱情的模样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386931.mp3","http://music.163.com/song/media/outer/url?id=386931.mp3"],
["纯真","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386715.mp3","http://music.163.com/song/media/outer/url?id=386715.mp3"],
["大地之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250816.mp3","http://music.163.com/song/media/outer/url?id=5250816.mp3"],
["回来吧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386185.mp3","http://music.163.com/song/media/outer/url?id=386185.mp3"],
["憨人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386854.mp3","http://music.163.com/song/media/outer/url?id=386854.mp3"],
["好不好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386697.mp3","http://music.163.com/song/media/outer/url?id=386697.mp3"],
["生命有一种绝对","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386560.mp3","http://music.163.com/song/media/outer/url?id=386560.mp3"],
["脱胎换骨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471411213.mp3","http://music.163.com/song/media/outer/url?id=471411213.mp3"],
["相信","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386700.mp3","http://music.163.com/song/media/outer/url?id=386700.mp3"],
["垃圾车","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386177.mp3","http://music.163.com/song/media/outer/url?id=386177.mp3"],
["王子面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386482.mp3","http://music.163.com/song/media/outer/url?id=386482.mp3"],
["旅行的意义 / 崇拜 / 把悲伤留给自己 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25949860.mp3","http://music.163.com/song/media/outer/url?id=25949860.mp3"],
["终结孤单","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385981.mp3","http://music.163.com/song/media/outer/url?id=385981.mp3"],
["明白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386846.mp3","http://music.163.com/song/media/outer/url?id=386846.mp3"],
["恒星的恒心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386445.mp3","http://music.163.com/song/media/outer/url?id=386445.mp3"],
["燕尾蝶 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386070.mp3","http://music.163.com/song/media/outer/url?id=386070.mp3"],
["九号球","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386461.mp3","http://music.163.com/song/media/outer/url?id=386461.mp3"],
["牙关","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385967.mp3","http://music.163.com/song/media/outer/url?id=385967.mp3"],
["小时候","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187283.mp3","http://music.163.com/song/media/outer/url?id=187283.mp3"],
["乱世浮生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385970.mp3","http://music.163.com/song/media/outer/url?id=385970.mp3"],
["疯狂世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=385993.mp3","http://music.163.com/song/media/outer/url?id=385993.mp3"],
["嘿！我要走了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386932.mp3","http://music.163.com/song/media/outer/url?id=386932.mp3"],
["我们 (时时刻刻)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386473.mp3","http://music.163.com/song/media/outer/url?id=386473.mp3"],
["候鸟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386716.mp3","http://music.163.com/song/media/outer/url?id=386716.mp3"],
["反而","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386874.mp3","http://music.163.com/song/media/outer/url?id=386874.mp3"],
["有你的将来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386851.mp3","http://music.163.com/song/media/outer/url?id=386851.mp3"],
["爱情的骗子！我问你 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25949864.mp3","http://music.163.com/song/media/outer/url?id=25949864.mp3"],
["爱情万岁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=386870.mp3","http://music.163.com/song/media/outer/url?id=386870.mp3"]
]
#薛之谦
xuezhiqian = [
["我好像在哪见过你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417859631.mp3","http://music.163.com/song/media/outer/url?id=417859631.mp3"],
["天份","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334647784.mp3","http://music.163.com/song/media/outer/url?id=1334647784.mp3"],
["演员","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32507038.mp3","http://music.163.com/song/media/outer/url?id=32507038.mp3"],
["意外","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27890306.mp3","http://music.163.com/song/media/outer/url?id=27890306.mp3"],
["暧昧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471385043.mp3","http://music.163.com/song/media/outer/url?id=471385043.mp3"],
["刚刚好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=415792881.mp3","http://music.163.com/song/media/outer/url?id=415792881.mp3"],
["你还要我怎样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955653.mp3","http://music.163.com/song/media/outer/url?id=27955653.mp3"],
["绅士","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32192436.mp3","http://music.163.com/song/media/outer/url?id=32192436.mp3"],
["哑巴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557583281.mp3","http://music.163.com/song/media/outer/url?id=557583281.mp3"],
["动物世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468517654.mp3","http://music.163.com/song/media/outer/url?id=468517654.mp3"],
["像风一样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=516657051.mp3","http://music.163.com/song/media/outer/url?id=516657051.mp3"],
["其实","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955654.mp3","http://music.163.com/song/media/outer/url?id=27955654.mp3"],
["怪咖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574921549.mp3","http://music.163.com/song/media/outer/url?id=574921549.mp3"],
["认真的雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169185.mp3","http://music.163.com/song/media/outer/url?id=169185.mp3"],
["肆无忌惮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557581967.mp3","http://music.163.com/song/media/outer/url?id=557581967.mp3"],
["最好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1294910785.mp3","http://music.163.com/song/media/outer/url?id=1294910785.mp3"],
["方圆几里","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955658.mp3","http://music.163.com/song/media/outer/url?id=27955658.mp3"],
["丑八怪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27808044.mp3","http://music.163.com/song/media/outer/url?id=27808044.mp3"],
["一半","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35528482.mp3","http://music.163.com/song/media/outer/url?id=35528482.mp3"],
["那是你离开了北京的生活","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=571340283.mp3","http://music.163.com/song/media/outer/url?id=571340283.mp3"],
["别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515803379.mp3","http://music.163.com/song/media/outer/url?id=515803379.mp3"],
["下雨了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32507039.mp3","http://music.163.com/song/media/outer/url?id=32507039.mp3"],
["我害怕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474567044.mp3","http://music.163.com/song/media/outer/url?id=474567044.mp3"],
["高尚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=466122271.mp3","http://music.163.com/song/media/outer/url?id=466122271.mp3"],
["狐狸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=525241230.mp3","http://music.163.com/song/media/outer/url?id=525241230.mp3"],
["摩天大楼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553543014.mp3","http://music.163.com/song/media/outer/url?id=553543014.mp3"],
["有没有","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955656.mp3","http://music.163.com/song/media/outer/url?id=27955656.mp3"],
["初学者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=412902689.mp3","http://music.163.com/song/media/outer/url?id=412902689.mp3"],
["等我回家","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955652.mp3","http://music.163.com/song/media/outer/url?id=27955652.mp3"],
["骆驼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=518894283.mp3","http://music.163.com/song/media/outer/url?id=518894283.mp3"],
["我知道你都知道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169137.mp3","http://music.163.com/song/media/outer/url?id=169137.mp3"],
["为了遇见你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33071053.mp3","http://music.163.com/song/media/outer/url?id=33071053.mp3"],
["来日方长","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=429450375.mp3","http://music.163.com/song/media/outer/url?id=429450375.mp3"],
["几个你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169140.mp3","http://music.163.com/song/media/outer/url?id=169140.mp3"],
["背过手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=520458481.mp3","http://music.163.com/song/media/outer/url?id=520458481.mp3"],
["火星人来过","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443277013.mp3","http://music.163.com/song/media/outer/url?id=443277013.mp3"],
["渡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=517571371.mp3","http://music.163.com/song/media/outer/url?id=517571371.mp3"],
["花儿和少年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421160838.mp3","http://music.163.com/song/media/outer/url?id=421160838.mp3"],
["小孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35288183.mp3","http://music.163.com/song/media/outer/url?id=35288183.mp3"],
["未完成的歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169152.mp3","http://music.163.com/song/media/outer/url?id=169152.mp3"],
["重返十七岁(新版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418603445.mp3","http://music.163.com/song/media/outer/url?id=418603445.mp3"],
["我想起你了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955655.mp3","http://music.163.com/song/media/outer/url?id=27955655.mp3"],
["伏笔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169142.mp3","http://music.163.com/song/media/outer/url?id=169142.mp3"],
["潮流季","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27955651.mp3","http://music.163.com/song/media/outer/url?id=27955651.mp3"],
["我终于成了别人的女人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169144.mp3","http://music.163.com/song/media/outer/url?id=169144.mp3"],
["传说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169198.mp3","http://music.163.com/song/media/outer/url?id=169198.mp3"],
["我们爱过就好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26600199.mp3","http://music.163.com/song/media/outer/url?id=26600199.mp3"],
["爱我的人 谢谢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169188.mp3","http://music.163.com/song/media/outer/url?id=169188.mp3"],
["Stay Here","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421148955.mp3","http://music.163.com/song/media/outer/url?id=421148955.mp3"],
["梦开始的原点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169216.mp3","http://music.163.com/song/media/outer/url?id=169216.mp3"]
]
#许嵩
xusong = [
["有何不可","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167876.mp3","http://music.163.com/song/media/outer/url?id=167876.mp3"],
["雅俗共赏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411214279.mp3","http://music.163.com/song/media/outer/url?id=411214279.mp3"],
["惊鸿一面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28854182.mp3","http://music.163.com/song/media/outer/url?id=28854182.mp3"],
["素颜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167827.mp3","http://music.163.com/song/media/outer/url?id=167827.mp3"],
["幻听","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167655.mp3","http://music.163.com/song/media/outer/url?id=167655.mp3"],
["天龙八部之宿敌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167691.mp3","http://music.163.com/song/media/outer/url?id=167691.mp3"],
["如果当时","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167870.mp3","http://music.163.com/song/media/outer/url?id=167870.mp3"],
["庐州月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167850.mp3","http://music.163.com/song/media/outer/url?id=167850.mp3"],
["你若成风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5255987.mp3","http://music.163.com/song/media/outer/url?id=5255987.mp3"],
["清明雨上","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167882.mp3","http://music.163.com/song/media/outer/url?id=167882.mp3"],
["断桥残雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167937.mp3","http://music.163.com/song/media/outer/url?id=167937.mp3"],
["玫瑰花的葬礼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27646687.mp3","http://music.163.com/song/media/outer/url?id=27646687.mp3"],
["灰色头像","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167844.mp3","http://music.163.com/song/media/outer/url?id=167844.mp3"],
["我乐意","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554191378.mp3","http://music.163.com/song/media/outer/url?id=554191378.mp3"],
["如约而至","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=573384240.mp3","http://music.163.com/song/media/outer/url?id=573384240.mp3"],
["山水之间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28802028.mp3","http://music.163.com/song/media/outer/url?id=28802028.mp3"],
["多余的解释","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167873.mp3","http://music.163.com/song/media/outer/url?id=167873.mp3"],
["城府","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167885.mp3","http://music.163.com/song/media/outer/url?id=167885.mp3"],
["最佳歌手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=412902950.mp3","http://music.163.com/song/media/outer/url?id=412902950.mp3"],
["大千世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569213279.mp3","http://music.163.com/song/media/outer/url?id=569213279.mp3"],
["半城烟沙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167744.mp3","http://music.163.com/song/media/outer/url?id=167744.mp3"],
["千百度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167732.mp3","http://music.163.com/song/media/outer/url?id=167732.mp3"],
["蝴蝶的时间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=521415426.mp3","http://music.163.com/song/media/outer/url?id=521415426.mp3"],
["燕归巢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=402073807.mp3","http://music.163.com/song/media/outer/url?id=402073807.mp3"],
["绝代风华","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1327456179.mp3","http://music.163.com/song/media/outer/url?id=1327456179.mp3"],
["全球变冷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167679.mp3","http://music.163.com/song/media/outer/url?id=167679.mp3"],
["千古","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34040693.mp3","http://music.163.com/song/media/outer/url?id=34040693.mp3"],
["叹服","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167841.mp3","http://music.163.com/song/media/outer/url?id=167841.mp3"],
["明智之举","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=862099032.mp3","http://music.163.com/song/media/outer/url?id=862099032.mp3"],
["认错","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167888.mp3","http://music.163.com/song/media/outer/url?id=167888.mp3"],
["想象之中","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167705.mp3","http://music.163.com/song/media/outer/url?id=167705.mp3"],
["摄影艺术","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=415792563.mp3","http://music.163.com/song/media/outer/url?id=415792563.mp3"],
["今年勇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448144319.mp3","http://music.163.com/song/media/outer/url?id=448144319.mp3"],
["拆东墙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167712.mp3","http://music.163.com/song/media/outer/url?id=167712.mp3"],
["江湖 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428095913.mp3","http://music.163.com/song/media/outer/url?id=428095913.mp3"],
["平行宇宙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418603441.mp3","http://music.163.com/song/media/outer/url?id=418603441.mp3"],
["南山忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167786.mp3","http://music.163.com/song/media/outer/url?id=167786.mp3"],
["医生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167715.mp3","http://music.163.com/song/media/outer/url?id=167715.mp3"],
["我想牵着你的手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167903.mp3","http://music.163.com/song/media/outer/url?id=167903.mp3"],
["星座书上","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167894.mp3","http://music.163.com/song/media/outer/url?id=167894.mp3"],
["河山大好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167709.mp3","http://music.163.com/song/media/outer/url?id=167709.mp3"],
["降温","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167727.mp3","http://music.163.com/song/media/outer/url?id=167727.mp3"],
["深夜书店","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465677131.mp3","http://music.163.com/song/media/outer/url?id=465677131.mp3"],
["老古董","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557584658.mp3","http://music.163.com/song/media/outer/url?id=557584658.mp3"],
["弹指一挥间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28952258.mp3","http://music.163.com/song/media/outer/url?id=28952258.mp3"],
["情侣装","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167815.mp3","http://music.163.com/song/media/outer/url?id=167815.mp3"],
["浅唱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27646697.mp3","http://music.163.com/song/media/outer/url?id=27646697.mp3"],
["别咬我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28029855.mp3","http://music.163.com/song/media/outer/url?id=28029855.mp3"],
["七夕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28953350.mp3","http://music.163.com/song/media/outer/url?id=28953350.mp3"],
["内线","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167891.mp3","http://music.163.com/song/media/outer/url?id=167891.mp3"]
]
#许巍
xuwei = [
["蓝莲花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168091.mp3","http://music.163.com/song/media/outer/url?id=168091.mp3"],
["曾经的你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167975.mp3","http://music.163.com/song/media/outer/url?id=167975.mp3"],
["像风一样自由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167880.mp3","http://music.163.com/song/media/outer/url?id=167880.mp3"],
["故乡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168053.mp3","http://music.163.com/song/media/outer/url?id=168053.mp3"],
["执着","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167897.mp3","http://music.163.com/song/media/outer/url?id=167897.mp3"],
["旅行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167802.mp3","http://music.163.com/song/media/outer/url?id=167802.mp3"],
["完美生活","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168087.mp3","http://music.163.com/song/media/outer/url?id=168087.mp3"],
["我的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1303026566.mp3","http://music.163.com/song/media/outer/url?id=1303026566.mp3"],
["时光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168089.mp3","http://music.163.com/song/media/outer/url?id=168089.mp3"],
["家","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167751.mp3","http://music.163.com/song/media/outer/url?id=167751.mp3"],
["世外桃源","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657384.mp3","http://music.163.com/song/media/outer/url?id=25657384.mp3"],
["那一年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168153.mp3","http://music.163.com/song/media/outer/url?id=168153.mp3"],
["漫步","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168097.mp3","http://music.163.com/song/media/outer/url?id=168097.mp3"],
["空谷幽兰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657380.mp3","http://music.163.com/song/media/outer/url?id=25657380.mp3"],
["温暖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168147.mp3","http://music.163.com/song/media/outer/url?id=168147.mp3"],
["喜悦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657383.mp3","http://music.163.com/song/media/outer/url?id=25657383.mp3"],
["难忘的一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167766.mp3","http://music.163.com/song/media/outer/url?id=167766.mp3"],
["少年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167774.mp3","http://music.163.com/song/media/outer/url?id=167774.mp3"],
["救赎之旅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657385.mp3","http://music.163.com/song/media/outer/url?id=25657385.mp3"],
["星空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168100.mp3","http://music.163.com/song/media/outer/url?id=168100.mp3"],
["我们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167747.mp3","http://music.163.com/song/media/outer/url?id=167747.mp3"],
["永隔一江水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29732733.mp3","http://music.163.com/song/media/outer/url?id=29732733.mp3"],
["九月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168142.mp3","http://music.163.com/song/media/outer/url?id=168142.mp3"],
["方向","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168143.mp3","http://music.163.com/song/media/outer/url?id=168143.mp3"],
["礼物","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167842.mp3","http://music.163.com/song/media/outer/url?id=167842.mp3"],
["此时此刻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657379.mp3","http://music.163.com/song/media/outer/url?id=25657379.mp3"],
["逍遥行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657376.mp3","http://music.163.com/song/media/outer/url?id=25657376.mp3"],
["晴朗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167871.mp3","http://music.163.com/song/media/outer/url?id=167871.mp3"],
["爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657378.mp3","http://music.163.com/song/media/outer/url?id=25657378.mp3"],
["故事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167743.mp3","http://music.163.com/song/media/outer/url?id=167743.mp3"],
["灵岩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657377.mp3","http://music.163.com/song/media/outer/url?id=25657377.mp3"],
["四季","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167770.mp3","http://music.163.com/song/media/outer/url?id=167770.mp3"],
["每一刻都是崭新的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167820.mp3","http://music.163.com/song/media/outer/url?id=167820.mp3"],
["我的秋天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168158.mp3","http://music.163.com/song/media/outer/url?id=168158.mp3"],
["我思念的城市","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168161.mp3","http://music.163.com/song/media/outer/url?id=168161.mp3"],
["在别处","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168160.mp3","http://music.163.com/song/media/outer/url?id=168160.mp3"],
["浮躁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168145.mp3","http://music.163.com/song/media/outer/url?id=168145.mp3"],
["天鹅之旅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168085.mp3","http://music.163.com/song/media/outer/url?id=168085.mp3"],
["两天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167901.mp3","http://music.163.com/song/media/outer/url?id=167901.mp3"],
["彩虹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167874.mp3","http://music.163.com/song/media/outer/url?id=167874.mp3"],
["情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168151.mp3","http://music.163.com/song/media/outer/url?id=168151.mp3"],
["青鸟II","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168164.mp3","http://music.163.com/song/media/outer/url?id=168164.mp3"],
["心愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657382.mp3","http://music.163.com/song/media/outer/url?id=25657382.mp3"],
["爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167737.mp3","http://music.163.com/song/media/outer/url?id=167737.mp3"],
["一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168093.mp3","http://music.163.com/song/media/outer/url?id=168093.mp3"],
["青鸟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167899.mp3","http://music.163.com/song/media/outer/url?id=167899.mp3"],
["平淡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168103.mp3","http://music.163.com/song/media/outer/url?id=168103.mp3"],
["夏日的风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=168102.mp3","http://music.163.com/song/media/outer/url?id=168102.mp3"],
["喝茶去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167807.mp3","http://music.163.com/song/media/outer/url?id=167807.mp3"],
["温暖的季节","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=167817.mp3","http://music.163.com/song/media/outer/url?id=167817.mp3"]
]
#粤语
yueyu = [
["春夏秋冬","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186453.mp3","http://music.163.com/song/media/outer/url?id=186453.mp3"],
["相逢何必曾相识(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=103256.mp3","http://music.163.com/song/media/outer/url?id=103256.mp3"],
["难念的经","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5271858.mp3","http://music.163.com/song/media/outer/url?id=5271858.mp3"],
["忘记伤害","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=113525.mp3","http://music.163.com/song/media/outer/url?id=113525.mp3"],
["十七岁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306459970.mp3","http://music.163.com/song/media/outer/url?id=1306459970.mp3"],
["无尽的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234841.mp3","http://music.163.com/song/media/outer/url?id=234841.mp3"],
["哦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191552.mp3","http://music.163.com/song/media/outer/url?id=191552.mp3"],
["睡皇后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1335819187.mp3","http://music.163.com/song/media/outer/url?id=1335819187.mp3"],
["睡公主","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234070.mp3","http://music.163.com/song/media/outer/url?id=234070.mp3"],
["开一线窗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=274114.mp3","http://music.163.com/song/media/outer/url?id=274114.mp3"],
["悲哀代言人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=88491.mp3","http://music.163.com/song/media/outer/url?id=88491.mp3"],
["致未来的我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=471411148.mp3","http://music.163.com/song/media/outer/url?id=471411148.mp3"],
["飞机师的风衣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191147.mp3","http://music.163.com/song/media/outer/url?id=191147.mp3"],
["逝去日子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346076.mp3","http://music.163.com/song/media/outer/url?id=346076.mp3"],
["好得很","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26418879.mp3","http://music.163.com/song/media/outer/url?id=26418879.mp3"],
["告别我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25729105.mp3","http://music.163.com/song/media/outer/url?id=25729105.mp3"],
["让我跟你走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=282273.mp3","http://music.163.com/song/media/outer/url?id=282273.mp3"],
["人生何处不相逢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212253.mp3","http://music.163.com/song/media/outer/url?id=212253.mp3"],
["堆积情感","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=253924.mp3","http://music.163.com/song/media/outer/url?id=253924.mp3"],
["还你门匙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=178993.mp3","http://music.163.com/song/media/outer/url?id=178993.mp3"],
["旧街角","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38853722.mp3","http://music.163.com/song/media/outer/url?id=38853722.mp3"],
["喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346073.mp3","http://music.163.com/song/media/outer/url?id=346073.mp3"],
["烂泥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5231283.mp3","http://music.163.com/song/media/outer/url?id=5231283.mp3"],
["化","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26034828.mp3","http://music.163.com/song/media/outer/url?id=26034828.mp3"],
["开学礼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4875002.mp3","http://music.163.com/song/media/outer/url?id=4875002.mp3"],
["快乐情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=215368.mp3","http://music.163.com/song/media/outer/url?id=215368.mp3"],
["数字人生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=117107.mp3","http://music.163.com/song/media/outer/url?id=117107.mp3"],
["还是觉得你最好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190380.mp3","http://music.163.com/song/media/outer/url?id=190380.mp3"],
["少女的祈祷(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=317251.mp3","http://music.163.com/song/media/outer/url?id=317251.mp3"],
["地球大合唱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5285096.mp3","http://music.163.com/song/media/outer/url?id=5285096.mp3"],
["坏与更坏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250908.mp3","http://music.163.com/song/media/outer/url?id=417250908.mp3"],
["想你的旧名字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=112167.mp3","http://music.163.com/song/media/outer/url?id=112167.mp3"],
["一步一生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=170581.mp3","http://music.163.com/song/media/outer/url?id=170581.mp3"],
["明知做戏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298495.mp3","http://music.163.com/song/media/outer/url?id=298495.mp3"],
["逆插玫瑰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27713975.mp3","http://music.163.com/song/media/outer/url?id=27713975.mp3"],
["灰色轨迹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32701152.mp3","http://music.163.com/song/media/outer/url?id=32701152.mp3"],
["明明","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5240138.mp3","http://music.163.com/song/media/outer/url?id=5240138.mp3"],
["别话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188222.mp3","http://music.163.com/song/media/outer/url?id=188222.mp3"],
["连锁反应","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=262770.mp3","http://music.163.com/song/media/outer/url?id=262770.mp3"],
["一人有一个梦想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=258684.mp3","http://music.163.com/song/media/outer/url?id=258684.mp3"],
["爱的传说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=151646.mp3","http://music.163.com/song/media/outer/url?id=151646.mp3"],
["沉默是金","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169311.mp3","http://music.163.com/song/media/outer/url?id=169311.mp3"],
["东京百货","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=330269.mp3","http://music.163.com/song/media/outer/url?id=330269.mp3"],
["一生何求","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65642.mp3","http://music.163.com/song/media/outer/url?id=65642.mp3"],
["沉默是金","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29343358.mp3","http://music.163.com/song/media/outer/url?id=29343358.mp3"],
["说谎的爱人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=158185.mp3","http://music.163.com/song/media/outer/url?id=158185.mp3"],
["二十四城记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=111622.mp3","http://music.163.com/song/media/outer/url?id=111622.mp3"],
["只談風月不談戀愛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26034821.mp3","http://music.163.com/song/media/outer/url?id=26034821.mp3"],
["共同渡过","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186699.mp3","http://music.163.com/song/media/outer/url?id=186699.mp3"],
["查无此字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456175653.mp3","http://music.163.com/song/media/outer/url?id=456175653.mp3"],
["六月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5262067.mp3","http://music.163.com/song/media/outer/url?id=5262067.mp3"],
["圆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406475388.mp3","http://music.163.com/song/media/outer/url?id=406475388.mp3"],
["放生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34613476.mp3","http://music.163.com/song/media/outer/url?id=34613476.mp3"],
["传闻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28341498.mp3","http://music.163.com/song/media/outer/url?id=28341498.mp3"],
["苦瓜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64293.mp3","http://music.163.com/song/media/outer/url?id=64293.mp3"],
["石径","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188556.mp3","http://music.163.com/song/media/outer/url?id=188556.mp3"],
["Amani","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346083.mp3","http://music.163.com/song/media/outer/url?id=346083.mp3"],
["前所未见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=213673.mp3","http://music.163.com/song/media/outer/url?id=213673.mp3"],
["面具","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=174122.mp3","http://music.163.com/song/media/outer/url?id=174122.mp3"],
["约定","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299116.mp3","http://music.163.com/song/media/outer/url?id=299116.mp3"],
["大哥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26390020.mp3","http://music.163.com/song/media/outer/url?id=26390020.mp3"],
["1874 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65867.mp3","http://music.163.com/song/media/outer/url?id=65867.mp3"],
["七年滋養","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32705017.mp3","http://music.163.com/song/media/outer/url?id=32705017.mp3"],
["月球上的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65549.mp3","http://music.163.com/song/media/outer/url?id=65549.mp3"],
["花与爱丽斯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316413.mp3","http://music.163.com/song/media/outer/url?id=316413.mp3"],
["不装饰你的梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=67570.mp3","http://music.163.com/song/media/outer/url?id=67570.mp3"],
["情深说话未曾讲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=113784.mp3","http://music.163.com/song/media/outer/url?id=113784.mp3"],
["越难越爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29759373.mp3","http://music.163.com/song/media/outer/url?id=29759373.mp3"],
["如风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299352.mp3","http://music.163.com/song/media/outer/url?id=299352.mp3"],
["芳华绝代","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36861903.mp3","http://music.163.com/song/media/outer/url?id=36861903.mp3"],
["无缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=118975.mp3","http://music.163.com/song/media/outer/url?id=118975.mp3"],
["蓝色时分","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300422.mp3","http://music.163.com/song/media/outer/url?id=300422.mp3"],
["心照","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=192702.mp3","http://music.163.com/song/media/outer/url?id=192702.mp3"],
["爱得太迟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86477.mp3","http://music.163.com/song/media/outer/url?id=86477.mp3"],
["思念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=328545.mp3","http://music.163.com/song/media/outer/url?id=328545.mp3"],
["Monica","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186372.mp3","http://music.163.com/song/media/outer/url?id=186372.mp3"],
["遗物","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27965043.mp3","http://music.163.com/song/media/outer/url?id=27965043.mp3"],
["限期","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=254742.mp3","http://music.163.com/song/media/outer/url?id=254742.mp3"],
["缘份","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212971.mp3","http://music.163.com/song/media/outer/url?id=212971.mp3"],
["心服口服","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=214029.mp3","http://music.163.com/song/media/outer/url?id=214029.mp3"],
["甘心替代你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4878120.mp3","http://music.163.com/song/media/outer/url?id=4878120.mp3"],
["赤裸的秘密","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=255997.mp3","http://music.163.com/song/media/outer/url?id=255997.mp3"],
["最后一班渡轮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=67776.mp3","http://music.163.com/song/media/outer/url?id=67776.mp3"],
["花街的流星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=113811.mp3","http://music.163.com/song/media/outer/url?id=113811.mp3"],
["这些年来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29343376.mp3","http://music.163.com/song/media/outer/url?id=29343376.mp3"],
["打回原形 (2007 Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65234.mp3","http://music.163.com/song/media/outer/url?id=65234.mp3"],
["好心好报","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5267006.mp3","http://music.163.com/song/media/outer/url?id=5267006.mp3"],
["战争","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406347377.mp3","http://music.163.com/song/media/outer/url?id=406347377.mp3"],
["有心人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29343372.mp3","http://music.163.com/song/media/outer/url?id=29343372.mp3"],
["红绿灯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26122191.mp3","http://music.163.com/song/media/outer/url?id=26122191.mp3"],
["少女的祈祷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=67249.mp3","http://music.163.com/song/media/outer/url?id=67249.mp3"],
["谁明浪子心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5284175.mp3","http://music.163.com/song/media/outer/url?id=5284175.mp3"],
["绝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27867506.mp3","http://music.163.com/song/media/outer/url?id=27867506.mp3"],
["爱情陷阱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4871718.mp3","http://music.163.com/song/media/outer/url?id=4871718.mp3"],
["没有童话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=179796.mp3","http://music.163.com/song/media/outer/url?id=179796.mp3"],
["最佳损友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64909.mp3","http://music.163.com/song/media/outer/url?id=64909.mp3"],
["罪人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=111536.mp3","http://music.163.com/song/media/outer/url?id=111536.mp3"],
["心淡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27867503.mp3","http://music.163.com/song/media/outer/url?id=27867503.mp3"],
["残忍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=174142.mp3","http://music.163.com/song/media/outer/url?id=174142.mp3"],
["成就感","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=330217.mp3","http://music.163.com/song/media/outer/url?id=330217.mp3"],
["一个人的童话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94247.mp3","http://music.163.com/song/media/outer/url?id=94247.mp3"],
["不要离我太远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94219.mp3","http://music.163.com/song/media/outer/url?id=94219.mp3"],
["总有你鼓励","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=120887.mp3","http://music.163.com/song/media/outer/url?id=120887.mp3"],
["总有离开的时候 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28853828.mp3","http://music.163.com/song/media/outer/url?id=28853828.mp3"],
["我的骄傲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5261932.mp3","http://music.163.com/song/media/outer/url?id=5261932.mp3"],
["有生一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=451473847.mp3","http://music.163.com/song/media/outer/url?id=451473847.mp3"],
["爱一个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=112064.mp3","http://music.163.com/song/media/outer/url?id=112064.mp3"],
["合久必婚 (合唱)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=217501.mp3","http://music.163.com/song/media/outer/url?id=217501.mp3"],
["自动弃权 (放手版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28732234.mp3","http://music.163.com/song/media/outer/url?id=28732234.mp3"],
["相爱很难(电影\"男人四十\"歌曲)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36861904.mp3","http://music.163.com/song/media/outer/url?id=36861904.mp3"],
["身体健康(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189431.mp3","http://music.163.com/song/media/outer/url?id=189431.mp3"],
["双双","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=399364830.mp3","http://music.163.com/song/media/outer/url?id=399364830.mp3"],
["敢爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186888.mp3","http://music.163.com/song/media/outer/url?id=186888.mp3"],
["闪灵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316496.mp3","http://music.163.com/song/media/outer/url?id=316496.mp3"],
["失恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=349079.mp3","http://music.163.com/song/media/outer/url?id=349079.mp3"],
["飘雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212430.mp3","http://music.163.com/song/media/outer/url?id=212430.mp3"],
["暗涌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300136.mp3","http://music.163.com/song/media/outer/url?id=300136.mp3"],
["偿还","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299448.mp3","http://music.163.com/song/media/outer/url?id=299448.mp3"],
["验伤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=451473846.mp3","http://music.163.com/song/media/outer/url?id=451473846.mp3"],
["爱神","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86947.mp3","http://music.163.com/song/media/outer/url?id=86947.mp3"],
["森林","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=366017.mp3","http://music.163.com/song/media/outer/url?id=366017.mp3"],
["邮差","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299460.mp3","http://music.163.com/song/media/outer/url?id=299460.mp3"],
["深深深","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5284516.mp3","http://music.163.com/song/media/outer/url?id=5284516.mp3"],
["爱得比你深","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190530.mp3","http://music.163.com/song/media/outer/url?id=190530.mp3"],
["天才与白痴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86624.mp3","http://music.163.com/song/media/outer/url?id=86624.mp3"],
["你爱我爱不起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=328218.mp3","http://music.163.com/song/media/outer/url?id=328218.mp3"],
["只愿一生爱一人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190803.mp3","http://music.163.com/song/media/outer/url?id=190803.mp3"],
["你的名字我的姓氏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189367.mp3","http://music.163.com/song/media/outer/url?id=189367.mp3"],
["容易受伤的女人(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28302393.mp3","http://music.163.com/song/media/outer/url?id=28302393.mp3"],
["再见悲哀","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28838055.mp3","http://music.163.com/song/media/outer/url?id=28838055.mp3"],
["高山低谷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31140283.mp3","http://music.163.com/song/media/outer/url?id=31140283.mp3"],
["近在千里","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460873724.mp3","http://music.163.com/song/media/outer/url?id=460873724.mp3"],
["似水流年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188591.mp3","http://music.163.com/song/media/outer/url?id=188591.mp3"],
["归来吧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212436.mp3","http://music.163.com/song/media/outer/url?id=212436.mp3"],
["玻璃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=336527.mp3","http://music.163.com/song/media/outer/url?id=336527.mp3"],
["命硬","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65198.mp3","http://music.163.com/song/media/outer/url?id=65198.mp3"],
["阿牛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66265.mp3","http://music.163.com/song/media/outer/url?id=66265.mp3"],
["借","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=330259.mp3","http://music.163.com/song/media/outer/url?id=330259.mp3"],
["春秋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188550.mp3","http://music.163.com/song/media/outer/url?id=188550.mp3"],
["珍重","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=318527.mp3","http://music.163.com/song/media/outer/url?id=318527.mp3"],
["爱与诚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86849.mp3","http://music.163.com/song/media/outer/url?id=86849.mp3"],
["白玫瑰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65761.mp3","http://music.163.com/song/media/outer/url?id=65761.mp3"],
["唉声叹气","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=328153.mp3","http://music.163.com/song/media/outer/url?id=328153.mp3"],
["只爱西经","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28176114.mp3","http://music.163.com/song/media/outer/url?id=28176114.mp3"],
["法术乌魔多","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189700.mp3","http://music.163.com/song/media/outer/url?id=189700.mp3"],
["一生所爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32785700.mp3","http://music.163.com/song/media/outer/url?id=32785700.mp3"],
["友谊之光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277766.mp3","http://music.163.com/song/media/outer/url?id=277766.mp3"],
["追风筝的孩子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189143.mp3","http://music.163.com/song/media/outer/url?id=189143.mp3"],
["啼笑姻缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=63959.mp3","http://music.163.com/song/media/outer/url?id=63959.mp3"],
["晚秋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=174119.mp3","http://music.163.com/song/media/outer/url?id=174119.mp3"],
["让一切随风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=194594.mp3","http://music.163.com/song/media/outer/url?id=194594.mp3"],
["不只爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=280389.mp3","http://music.163.com/song/media/outer/url?id=280389.mp3"],
["你瞒我瞒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25718007.mp3","http://music.163.com/song/media/outer/url?id=25718007.mp3"],
["生还者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=178921.mp3","http://music.163.com/song/media/outer/url?id=178921.mp3"],
["两生关","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=308043.mp3","http://music.163.com/song/media/outer/url?id=308043.mp3"],
["七夕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224088.mp3","http://music.163.com/song/media/outer/url?id=224088.mp3"],
["感激遇到你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=243927.mp3","http://music.163.com/song/media/outer/url?id=243927.mp3"],
["耿耿于怀","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135355.mp3","http://music.163.com/song/media/outer/url?id=135355.mp3"],
["浮夸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64886.mp3","http://music.163.com/song/media/outer/url?id=64886.mp3"],
["喜帖街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=308299.mp3","http://music.163.com/song/media/outer/url?id=308299.mp3"],
["慕容雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=306845.mp3","http://music.163.com/song/media/outer/url?id=306845.mp3"],
["伤逝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=317885.mp3","http://music.163.com/song/media/outer/url?id=317885.mp3"],
["灰姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=254945.mp3","http://music.163.com/song/media/outer/url?id=254945.mp3"],
["寒舍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316678.mp3","http://music.163.com/song/media/outer/url?id=316678.mp3"],
["路过蜻蜓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186820.mp3","http://music.163.com/song/media/outer/url?id=186820.mp3"],
["街灯晚餐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657581.mp3","http://music.163.com/song/media/outer/url?id=25657581.mp3"],
["同病相愛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26034820.mp3","http://music.163.com/song/media/outer/url?id=26034820.mp3"],
["钢琴哭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28274119.mp3","http://music.163.com/song/media/outer/url?id=28274119.mp3"],
["睡公主","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=211488.mp3","http://music.163.com/song/media/outer/url?id=211488.mp3"],
["一加一 (剧场版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723421.mp3","http://music.163.com/song/media/outer/url?id=29723421.mp3"],
["孤雏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421486605.mp3","http://music.163.com/song/media/outer/url?id=421486605.mp3"],
["那谁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27867428.mp3","http://music.163.com/song/media/outer/url?id=27867428.mp3"],
["天意人心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=67339.mp3","http://music.163.com/song/media/outer/url?id=67339.mp3"],
["阁楼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=213791.mp3","http://music.163.com/song/media/outer/url?id=213791.mp3"],
["知情識趣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26034822.mp3","http://music.163.com/song/media/outer/url?id=26034822.mp3"],
["回电我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657578.mp3","http://music.163.com/song/media/outer/url?id=25657578.mp3"],
["远在咫尺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483206.mp3","http://music.163.com/song/media/outer/url?id=27483206.mp3"],
["小城大事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316756.mp3","http://music.163.com/song/media/outer/url?id=316756.mp3"],
["偏偏喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66476.mp3","http://music.163.com/song/media/outer/url?id=66476.mp3"],
["情人知己","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=317868.mp3","http://music.163.com/song/media/outer/url?id=317868.mp3"],
["夜机","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212652.mp3","http://music.163.com/song/media/outer/url?id=212652.mp3"],
["涟漪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66365.mp3","http://music.163.com/song/media/outer/url?id=66365.mp3"],
["红日","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=115502.mp3","http://music.163.com/song/media/outer/url?id=115502.mp3"],
["光辉岁月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346576.mp3","http://music.163.com/song/media/outer/url?id=346576.mp3"],
["不如不见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65769.mp3","http://music.163.com/song/media/outer/url?id=65769.mp3"],
["生命树","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25702173.mp3","http://music.163.com/song/media/outer/url?id=25702173.mp3"],
["忘记的理由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26402072.mp3","http://music.163.com/song/media/outer/url?id=26402072.mp3"],
["一千零一个","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=317149.mp3","http://music.163.com/song/media/outer/url?id=317149.mp3"],
["梦到内河","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186430.mp3","http://music.163.com/song/media/outer/url?id=186430.mp3"],
["侯斯顿之恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187382.mp3","http://music.163.com/song/media/outer/url?id=187382.mp3"],
["厌弃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=174120.mp3","http://music.163.com/song/media/outer/url?id=174120.mp3"],
["今天只做一件事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64803.mp3","http://music.163.com/song/media/outer/url?id=64803.mp3"],
["假如让我说下去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316637.mp3","http://music.163.com/song/media/outer/url?id=316637.mp3"],
["骚灵情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111630.mp3","http://music.163.com/song/media/outer/url?id=28111630.mp3"],
["洁身自爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186488.mp3","http://music.163.com/song/media/outer/url?id=186488.mp3"],
["身边有人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187387.mp3","http://music.163.com/song/media/outer/url?id=187387.mp3"],
["走狗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191508.mp3","http://music.163.com/song/media/outer/url?id=191508.mp3"],
["还记得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29379544.mp3","http://music.163.com/song/media/outer/url?id=29379544.mp3"],
["画意","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=297629.mp3","http://music.163.com/song/media/outer/url?id=297629.mp3"],
["玻璃之情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186436.mp3","http://music.163.com/song/media/outer/url?id=186436.mp3"],
["二十世纪少年(Unplugged)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=370776.mp3","http://music.163.com/song/media/outer/url?id=370776.mp3"],
["不来也不去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64829.mp3","http://music.163.com/song/media/outer/url?id=64829.mp3"],
["一丝不挂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64634.mp3","http://music.163.com/song/media/outer/url?id=64634.mp3"],
["落花流水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64922.mp3","http://music.163.com/song/media/outer/url?id=64922.mp3"],
["樱花树下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111647.mp3","http://music.163.com/song/media/outer/url?id=28111647.mp3"],
["不吐不快","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111608.mp3","http://music.163.com/song/media/outer/url?id=28111608.mp3"],
["地尽头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234252.mp3","http://music.163.com/song/media/outer/url?id=234252.mp3"],
["纸牌屋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27698711.mp3","http://music.163.com/song/media/outer/url?id=27698711.mp3"],
["高妹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=112899.mp3","http://music.163.com/song/media/outer/url?id=112899.mp3"],
["夏日倾情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26524408.mp3","http://music.163.com/song/media/outer/url?id=26524408.mp3"],
["斯德哥尔摩情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483204.mp3","http://music.163.com/song/media/outer/url?id=27483204.mp3"],
["雨中的恋人们","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94576.mp3","http://music.163.com/song/media/outer/url?id=94576.mp3"],
["浪子心声","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=171530.mp3","http://music.163.com/song/media/outer/url?id=171530.mp3"],
["天才白痴梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=172416.mp3","http://music.163.com/song/media/outer/url?id=172416.mp3"],
["月半小夜曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=114024.mp3","http://music.163.com/song/media/outer/url?id=114024.mp3"],
["月亮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212412.mp3","http://music.163.com/song/media/outer/url?id=212412.mp3"],
["加减乘除","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=263609.mp3","http://music.163.com/song/media/outer/url?id=263609.mp3"],
["陀飞轮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64638.mp3","http://music.163.com/song/media/outer/url?id=64638.mp3"],
["风的季节","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=310449.mp3","http://music.163.com/song/media/outer/url?id=310449.mp3"],
["梦伴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=235086.mp3","http://music.163.com/song/media/outer/url?id=235086.mp3"],
["冷雨夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346069.mp3","http://music.163.com/song/media/outer/url?id=346069.mp3"],
["再见理想(黄家驹独唱版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347822.mp3","http://music.163.com/song/media/outer/url?id=347822.mp3"],
["不再犹豫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347597.mp3","http://music.163.com/song/media/outer/url?id=347597.mp3"],
["烈女","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316691.mp3","http://music.163.com/song/media/outer/url?id=316691.mp3"],
["再见亦是泪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=152391.mp3","http://music.163.com/song/media/outer/url?id=152391.mp3"],
["明天你是否依然爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=153792.mp3","http://music.163.com/song/media/outer/url?id=153792.mp3"],
["爱与痛的边缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299090.mp3","http://music.163.com/song/media/outer/url?id=299090.mp3"],
["总有你鼓励","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=113051.mp3","http://music.163.com/song/media/outer/url?id=113051.mp3"],
["流浪花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=119106.mp3","http://music.163.com/song/media/outer/url?id=119106.mp3"],
["逝去的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27612780.mp3","http://music.163.com/song/media/outer/url?id=27612780.mp3"],
["最爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=329925.mp3","http://music.163.com/song/media/outer/url?id=329925.mp3"],
["情路茫茫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=335131.mp3","http://music.163.com/song/media/outer/url?id=335131.mp3"],
["让我愉快爱一次","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=335191.mp3","http://music.163.com/song/media/outer/url?id=335191.mp3"],
["孤单背影","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212409.mp3","http://music.163.com/song/media/outer/url?id=212409.mp3"],
["敢爱敢做","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=116869.mp3","http://music.163.com/song/media/outer/url?id=116869.mp3"],
["每一步","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=311170.mp3","http://music.163.com/song/media/outer/url?id=311170.mp3"],
["断肠说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=264948.mp3","http://music.163.com/song/media/outer/url?id=264948.mp3"],
["风再起时","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186760.mp3","http://music.163.com/song/media/outer/url?id=186760.mp3"],
["黑白照","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224133.mp3","http://music.163.com/song/media/outer/url?id=224133.mp3"],
["缘分","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26620818.mp3","http://music.163.com/song/media/outer/url?id=26620818.mp3"],
["够钟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191528.mp3","http://music.163.com/song/media/outer/url?id=191528.mp3"],
["吴哥窟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298258.mp3","http://music.163.com/song/media/outer/url?id=298258.mp3"],
["对不起谢谢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=256629.mp3","http://music.163.com/song/media/outer/url?id=256629.mp3"],
["夏日倾情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=114037.mp3","http://music.163.com/song/media/outer/url?id=114037.mp3"],
["无赖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191171.mp3","http://music.163.com/song/media/outer/url?id=191171.mp3"],
["给十年后的我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28068308.mp3","http://music.163.com/song/media/outer/url?id=28068308.mp3"],
["左右手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187564.mp3","http://music.163.com/song/media/outer/url?id=187564.mp3"],
["会过去的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=219293.mp3","http://music.163.com/song/media/outer/url?id=219293.mp3"],
["喜欢恋爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28636060.mp3","http://music.163.com/song/media/outer/url?id=28636060.mp3"],
["思觉失调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=121639.mp3","http://music.163.com/song/media/outer/url?id=121639.mp3"],
["如何掉眼泪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94682.mp3","http://music.163.com/song/media/outer/url?id=94682.mp3"],
["处处吻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316686.mp3","http://music.163.com/song/media/outer/url?id=316686.mp3"],
["黑择明","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65763.mp3","http://music.163.com/song/media/outer/url?id=65763.mp3"],
["世界真细小","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32785335.mp3","http://music.163.com/song/media/outer/url?id=32785335.mp3"],
["重复犯错","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86464.mp3","http://music.163.com/song/media/outer/url?id=86464.mp3"],
["人非草木","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25639351.mp3","http://music.163.com/song/media/outer/url?id=25639351.mp3"],
["自由行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316517.mp3","http://music.163.com/song/media/outer/url?id=316517.mp3"],
["有心人(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187837.mp3","http://music.163.com/song/media/outer/url?id=187837.mp3"],
["雾之恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4871771.mp3","http://music.163.com/song/media/outer/url?id=4871771.mp3"],
["傻女","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212376.mp3","http://music.163.com/song/media/outer/url?id=212376.mp3"],
["粤语残片","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65778.mp3","http://music.163.com/song/media/outer/url?id=65778.mp3"],
["风继续吹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26620762.mp3","http://music.163.com/song/media/outer/url?id=26620762.mp3"],
["今生今世","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26620787.mp3","http://music.163.com/song/media/outer/url?id=26620787.mp3"],
["等","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=404184209.mp3","http://music.163.com/song/media/outer/url?id=404184209.mp3"],
["等","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64927.mp3","http://music.163.com/song/media/outer/url?id=64927.mp3"],
["勇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316498.mp3","http://music.163.com/song/media/outer/url?id=316498.mp3"],
["灰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=303831.mp3","http://music.163.com/song/media/outer/url?id=303831.mp3"],
["C餐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29460208.mp3","http://music.163.com/song/media/outer/url?id=29460208.mp3"],
["蜚蜚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26353080.mp3","http://music.163.com/song/media/outer/url?id=26353080.mp3"],
["彳亍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135171.mp3","http://music.163.com/song/media/outer/url?id=135171.mp3"],
["暧昧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=299981.mp3","http://music.163.com/song/media/outer/url?id=299981.mp3"],
["沙龙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64833.mp3","http://music.163.com/song/media/outer/url?id=64833.mp3"],
["梦伴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26584453.mp3","http://music.163.com/song/media/outer/url?id=26584453.mp3"],
["倾城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=306709.mp3","http://music.163.com/song/media/outer/url?id=306709.mp3"],
["天梯 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407002484.mp3","http://music.163.com/song/media/outer/url?id=407002484.mp3"],
["大哥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5256469.mp3","http://music.163.com/song/media/outer/url?id=5256469.mp3"],
["告白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298061.mp3","http://music.163.com/song/media/outer/url?id=298061.mp3"],
["想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186707.mp3","http://music.163.com/song/media/outer/url?id=186707.mp3"],
["约定(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64443.mp3","http://music.163.com/song/media/outer/url?id=64443.mp3"],
["酷爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189140.mp3","http://music.163.com/song/media/outer/url?id=189140.mp3"],
["情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347355.mp3","http://music.163.com/song/media/outer/url?id=347355.mp3"],
["情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234225.mp3","http://music.163.com/song/media/outer/url?id=234225.mp3"],
["宏愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191534.mp3","http://music.163.com/song/media/outer/url?id=191534.mp3"],
["偏爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5257259.mp3","http://music.163.com/song/media/outer/url?id=5257259.mp3"],
["实情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250142.mp3","http://music.163.com/song/media/outer/url?id=5250142.mp3"],
["上心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26402069.mp3","http://music.163.com/song/media/outer/url?id=26402069.mp3"],
["稀客","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316510.mp3","http://music.163.com/song/media/outer/url?id=316510.mp3"],
["七友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=118261.mp3","http://music.163.com/song/media/outer/url?id=118261.mp3"],
["情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5231301.mp3","http://music.163.com/song/media/outer/url?id=5231301.mp3"],
["如水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26902930.mp3","http://music.163.com/song/media/outer/url?id=26902930.mp3"],
["新人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=368581.mp3","http://music.163.com/song/media/outer/url?id=368581.mp3"],
["失常","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26432068.mp3","http://music.163.com/song/media/outer/url?id=26432068.mp3"],
["花奴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27483089.mp3","http://music.163.com/song/media/outer/url?id=27483089.mp3"],
["内疚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=353734.mp3","http://music.163.com/song/media/outer/url?id=353734.mp3"],
["残忍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=244126.mp3","http://music.163.com/song/media/outer/url?id=244126.mp3"],
["敏感","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224883.mp3","http://music.163.com/song/media/outer/url?id=224883.mp3"],
["逸后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66753.mp3","http://music.163.com/song/media/outer/url?id=66753.mp3"],
["阿四","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=78284.mp3","http://music.163.com/song/media/outer/url?id=78284.mp3"],
["凶手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=225112.mp3","http://music.163.com/song/media/outer/url?id=225112.mp3"],
["直觉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=340671.mp3","http://music.163.com/song/media/outer/url?id=340671.mp3"],
["发誓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=331324.mp3","http://music.163.com/song/media/outer/url?id=331324.mp3"],
["嫌弃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=254746.mp3","http://music.163.com/song/media/outer/url?id=254746.mp3"],
["话别(Piano '05)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224134.mp3","http://music.163.com/song/media/outer/url?id=224134.mp3"],
["Today","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=255870.mp3","http://music.163.com/song/media/outer/url?id=255870.mp3"],
["Single","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316735.mp3","http://music.163.com/song/media/outer/url?id=316735.mp3"],
["有个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188927.mp3","http://music.163.com/song/media/outer/url?id=188927.mp3"],
["我本人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298250.mp3","http://music.163.com/song/media/outer/url?id=298250.mp3"],
["无双谱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=82082.mp3","http://music.163.com/song/media/outer/url?id=82082.mp3"],
["无条件","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31426608.mp3","http://music.163.com/song/media/outer/url?id=31426608.mp3"],
["野孩子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316486.mp3","http://music.163.com/song/media/outer/url?id=316486.mp3"],
["当年情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186536.mp3","http://music.163.com/song/media/outer/url?id=186536.mp3"],
["爱得起 (Solo)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=331196.mp3","http://music.163.com/song/media/outer/url?id=331196.mp3"],
["座右铭","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298489.mp3","http://music.163.com/song/media/outer/url?id=298489.mp3"],
["罗生门","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33471531.mp3","http://music.163.com/song/media/outer/url?id=33471531.mp3"],
["祝君好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=192409.mp3","http://music.163.com/song/media/outer/url?id=192409.mp3"],
["电灯胆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224086.mp3","http://music.163.com/song/media/outer/url?id=224086.mp3"],
["南瓜车","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=307015.mp3","http://music.163.com/song/media/outer/url?id=307015.mp3"],
["别怪她","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251704.mp3","http://music.163.com/song/media/outer/url?id=5251704.mp3"],
["昨迟人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=171075.mp3","http://music.163.com/song/media/outer/url?id=171075.mp3"],
["三角志","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94545.mp3","http://music.163.com/song/media/outer/url?id=94545.mp3"],
["钟无艳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=308353.mp3","http://music.163.com/song/media/outer/url?id=308353.mp3"],
["再生花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=214254.mp3","http://music.163.com/song/media/outer/url?id=214254.mp3"],
["等半天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224877.mp3","http://music.163.com/song/media/outer/url?id=224877.mp3"],
["苦情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224837.mp3","http://music.163.com/song/media/outer/url?id=224837.mp3"],
["手掌印","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5243188.mp3","http://music.163.com/song/media/outer/url?id=5243188.mp3"],
["情永落","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64355.mp3","http://music.163.com/song/media/outer/url?id=64355.mp3"],
["我的天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189155.mp3","http://music.163.com/song/media/outer/url?id=189155.mp3"],
["下学期","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=353655.mp3","http://music.163.com/song/media/outer/url?id=353655.mp3"],
["玩玩具","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=353638.mp3","http://music.163.com/song/media/outer/url?id=353638.mp3"],
["时光机","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=171386.mp3","http://music.163.com/song/media/outer/url?id=171386.mp3"],
["必杀技","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86943.mp3","http://music.163.com/song/media/outer/url?id=86943.mp3"],
["十分.爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250032.mp3","http://music.163.com/song/media/outer/url?id=5250032.mp3"],
["Get Out","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5256495.mp3","http://music.163.com/song/media/outer/url?id=5256495.mp3"],
["饿狼传说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190270.mp3","http://music.163.com/song/media/outer/url?id=190270.mp3"],
["相依为命","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94639.mp3","http://music.163.com/song/media/outer/url?id=94639.mp3"],
["执迷不悔 (粤语版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=300587.mp3","http://music.163.com/song/media/outer/url?id=300587.mp3"],
["愿你决定","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187408.mp3","http://music.163.com/song/media/outer/url?id=187408.mp3"],
["离开以后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189841.mp3","http://music.163.com/song/media/outer/url?id=189841.mp3"],
["午后红茶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187402.mp3","http://music.163.com/song/media/outer/url?id=187402.mp3"],
["千千阙歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=212233.mp3","http://music.163.com/song/media/outer/url?id=212233.mp3"],
["海阔天空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347230.mp3","http://music.163.com/song/media/outer/url?id=347230.mp3"],
["真的爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=346075.mp3","http://music.163.com/song/media/outer/url?id=346075.mp3"],
["独一无二","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35470022.mp3","http://music.163.com/song/media/outer/url?id=35470022.mp3"],
["风的季节","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26584442.mp3","http://music.163.com/song/media/outer/url?id=26584442.mp3"],
["一事无成","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191560.mp3","http://music.163.com/song/media/outer/url?id=191560.mp3"],
["裙下之臣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65758.mp3","http://music.163.com/song/media/outer/url?id=65758.mp3"],
["那一个我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34040816.mp3","http://music.163.com/song/media/outer/url?id=34040816.mp3"],
["最冷一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186331.mp3","http://music.163.com/song/media/outer/url?id=186331.mp3"],
["高山低谷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28457932.mp3","http://music.163.com/song/media/outer/url?id=28457932.mp3"],
["友情岁月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=193535.mp3","http://music.163.com/song/media/outer/url?id=193535.mp3"],
["于心有愧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64797.mp3","http://music.163.com/song/media/outer/url?id=64797.mp3"],
["落地开花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94547.mp3","http://music.163.com/song/media/outer/url?id=94547.mp3"],
["遥远的她","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191232.mp3","http://music.163.com/song/media/outer/url?id=191232.mp3"],
["梦到内河","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186314.mp3","http://music.163.com/song/media/outer/url?id=186314.mp3"],
["好好恋爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5261521.mp3","http://music.163.com/song/media/outer/url?id=5261521.mp3"],
["花樽与花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27901932.mp3","http://music.163.com/song/media/outer/url?id=27901932.mp3"],
["愚公移山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34916656.mp3","http://music.163.com/song/media/outer/url?id=34916656.mp3"],
["把酒狂歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189706.mp3","http://music.163.com/song/media/outer/url?id=189706.mp3"],
["富士山下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65766.mp3","http://music.163.com/song/media/outer/url?id=65766.mp3"],
["男左女右","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234253.mp3","http://music.163.com/song/media/outer/url?id=234253.mp3"],
["亲朋勿友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5257264.mp3","http://music.163.com/song/media/outer/url?id=5257264.mp3"],
["自欺欺人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=82021.mp3","http://music.163.com/song/media/outer/url?id=82021.mp3"],
["谁可改变","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=152266.mp3","http://music.163.com/song/media/outer/url?id=152266.mp3"],
["好心分手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27713963.mp3","http://music.163.com/song/media/outer/url?id=27713963.mp3"],
["好心分手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=179884.mp3","http://music.163.com/song/media/outer/url?id=179884.mp3"],
["终身美丽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=328169.mp3","http://music.163.com/song/media/outer/url?id=328169.mp3"],
["透明人间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=279108.mp3","http://music.163.com/song/media/outer/url?id=279108.mp3"],
["眼泪无用","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=248286.mp3","http://music.163.com/song/media/outer/url?id=248286.mp3"],
["落地开花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27713976.mp3","http://music.163.com/song/media/outer/url?id=27713976.mp3"],
["戲中有氣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26260468.mp3","http://music.163.com/song/media/outer/url?id=26260468.mp3"],
["文字流泪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5243324.mp3","http://music.163.com/song/media/outer/url?id=5243324.mp3"],
["有时寂寞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=213292.mp3","http://music.163.com/song/media/outer/url?id=213292.mp3"],
["永久保存","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66780.mp3","http://music.163.com/song/media/outer/url?id=66780.mp3"],
["苦口良药","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=169703.mp3","http://music.163.com/song/media/outer/url?id=169703.mp3"],
["后备情人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=140532.mp3","http://music.163.com/song/media/outer/url?id=140532.mp3"],
["视而不见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=256066.mp3","http://music.163.com/song/media/outer/url?id=256066.mp3"],
["以你为荣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=86236.mp3","http://music.163.com/song/media/outer/url?id=86236.mp3"],
["合久必婚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=113289.mp3","http://music.163.com/song/media/outer/url?id=113289.mp3"],
["年度之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=308169.mp3","http://music.163.com/song/media/outer/url?id=308169.mp3"],
["伤心情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28977275.mp3","http://music.163.com/song/media/outer/url?id=28977275.mp3"],
["分手要狠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=298535.mp3","http://music.163.com/song/media/outer/url?id=298535.mp3"],
["幸运水晶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=217489.mp3","http://music.163.com/song/media/outer/url?id=217489.mp3"],
["开始恋爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=353653.mp3","http://music.163.com/song/media/outer/url?id=353653.mp3"],
["唯一的你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=358440.mp3","http://music.163.com/song/media/outer/url?id=358440.mp3"],
["爱的故事(上)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=147030.mp3","http://music.163.com/song/media/outer/url?id=147030.mp3"],
["差一分钟(十时)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234289.mp3","http://music.163.com/song/media/outer/url?id=234289.mp3"],
["旁观者伤(特别版-FULL)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4872717.mp3","http://music.163.com/song/media/outer/url?id=4872717.mp3"],
["街角祝福2","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29744199.mp3","http://music.163.com/song/media/outer/url?id=29744199.mp3"],
["I Miss You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=66769.mp3","http://music.163.com/song/media/outer/url?id=66769.mp3"],
["漫步人生路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=229285.mp3","http://music.163.com/song/media/outer/url?id=229285.mp3"],
["无悔这一生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=347712.mp3","http://music.163.com/song/media/outer/url?id=347712.mp3"],
["一生中最爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=153784.mp3","http://music.163.com/song/media/outer/url?id=153784.mp3"],
["你这样恨我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187527.mp3","http://music.163.com/song/media/outer/url?id=187527.mp3"],
["人生的鼓手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26620804.mp3","http://music.163.com/song/media/outer/url?id=26620804.mp3"],
["讲不出再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=152392.mp3","http://music.163.com/song/media/outer/url?id=152392.mp3"],
["再见二丁目","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316938.mp3","http://music.163.com/song/media/outer/url?id=316938.mp3"],
["听到的神话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=279111.mp3","http://music.163.com/song/media/outer/url?id=279111.mp3"],
["爱是不保留","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234228.mp3","http://music.163.com/song/media/outer/url?id=234228.mp3"],
["临走前吻我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=214033.mp3","http://music.163.com/song/media/outer/url?id=214033.mp3"],
["第二次初恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=198037.mp3","http://music.163.com/song/media/outer/url?id=198037.mp3"],
["如何离开你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28256164.mp3","http://music.163.com/song/media/outer/url?id=28256164.mp3"],
["今季拍拍拖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=378879.mp3","http://music.163.com/song/media/outer/url?id=378879.mp3"],
["我不是伟人 (粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=63661.mp3","http://music.163.com/song/media/outer/url?id=63661.mp3"],
["我歌...故我在","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5256471.mp3","http://music.163.com/song/media/outer/url?id=5256471.mp3"],
["心跳呼吸正常","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186490.mp3","http://music.163.com/song/media/outer/url?id=186490.mp3"],
["画纸上的戒指","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=229292.mp3","http://music.163.com/song/media/outer/url?id=229292.mp3"],
["有过去的女人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316697.mp3","http://music.163.com/song/media/outer/url?id=316697.mp3"],
["杀死我的温柔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=279103.mp3","http://music.163.com/song/media/outer/url?id=279103.mp3"],
["墨尔本的翡翠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=125352.mp3","http://music.163.com/song/media/outer/url?id=125352.mp3"],
["花吃了这女孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=229294.mp3","http://music.163.com/song/media/outer/url?id=229294.mp3"],
["恋爱令人心痛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=331261.mp3","http://music.163.com/song/media/outer/url?id=331261.mp3"],
["被遗弃的公主","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224109.mp3","http://music.163.com/song/media/outer/url?id=224109.mp3"],
["等你等到我心痛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190360.mp3","http://music.163.com/song/media/outer/url?id=190360.mp3"],
["只要和你在一起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28493645.mp3","http://music.163.com/song/media/outer/url?id=28493645.mp3"],
["他约我去迪士尼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=213357.mp3","http://music.163.com/song/media/outer/url?id=213357.mp3"],
["可惜我是水瓶座","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=316654.mp3","http://music.163.com/song/media/outer/url?id=316654.mp3"],
["奇洛李维斯回信","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=307024.mp3","http://music.163.com/song/media/outer/url?id=307024.mp3"],
["My Cookie Can","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26902923.mp3","http://music.163.com/song/media/outer/url?id=26902923.mp3"],
["Where Did U Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=234064.mp3","http://music.163.com/song/media/outer/url?id=234064.mp3"],
["I Will Be Loving You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27511485.mp3","http://music.163.com/song/media/outer/url?id=27511485.mp3"],
["谁羡慕像我这样强的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=229243.mp3","http://music.163.com/song/media/outer/url?id=229243.mp3"],
["你知道我在等你们分手吗?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26902929.mp3","http://music.163.com/song/media/outer/url?id=26902929.mp3"]
]
#张杰
zhangjie = [
["只要平凡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574919767.mp3","http://music.163.com/song/media/outer/url?id=574919767.mp3"],
["他不懂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28059417.mp3","http://music.163.com/song/media/outer/url?id=28059417.mp3"],
["明天过后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191248.mp3","http://music.163.com/song/media/outer/url?id=191248.mp3"],
["天下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191254.mp3","http://music.163.com/song/media/outer/url?id=191254.mp3"],
["我们都一样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191252.mp3","http://music.163.com/song/media/outer/url?id=191252.mp3"],
["仰望星空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191268.mp3","http://music.163.com/song/media/outer/url?id=191268.mp3"],
["这,就是爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191060.mp3","http://music.163.com/song/media/outer/url?id=191060.mp3"],
["最美的太阳","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191278.mp3","http://music.163.com/song/media/outer/url?id=191278.mp3"],
["竹 (Bamboo)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1308818970.mp3","http://music.163.com/song/media/outer/url?id=1308818970.mp3"],
["你就不要想起我 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=464674405.mp3","http://music.163.com/song/media/outer/url?id=464674405.mp3"],
["剑心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28748199.mp3","http://music.163.com/song/media/outer/url?id=28748199.mp3"],
["夜空中最亮的星 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28427772.mp3","http://music.163.com/song/media/outer/url?id=28427772.mp3"],
["听","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179904.mp3","http://music.163.com/song/media/outer/url?id=34179904.mp3"],
["勿忘心安","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191199.mp3","http://music.163.com/song/media/outer/url?id=191199.mp3"],
["看月亮爬上来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191179.mp3","http://music.163.com/song/media/outer/url?id=191179.mp3"],
["着魔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191134.mp3","http://music.163.com/song/media/outer/url?id=191134.mp3"],
["My Sunshine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179910.mp3","http://music.163.com/song/media/outer/url?id=34179910.mp3"],
["量身订做","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191195.mp3","http://music.163.com/song/media/outer/url?id=191195.mp3"],
["闹啥子嘛闹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179944.mp3","http://music.163.com/song/media/outer/url?id=34179944.mp3"],
["一念之间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32752249.mp3","http://music.163.com/song/media/outer/url?id=32752249.mp3"],
["逆战","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28996036.mp3","http://music.163.com/song/media/outer/url?id=28996036.mp3"],
["年轻的战场","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27789126.mp3","http://music.163.com/song/media/outer/url?id=27789126.mp3"],
["高飞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191024.mp3","http://music.163.com/song/media/outer/url?id=191024.mp3"],
["何必在一起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191187.mp3","http://music.163.com/song/media/outer/url?id=191187.mp3"],
["逆态度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28009540.mp3","http://music.163.com/song/media/outer/url?id=28009540.mp3"],
["真心英雄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32835757.mp3","http://music.163.com/song/media/outer/url?id=32835757.mp3"],
["往事随风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191258.mp3","http://music.163.com/song/media/outer/url?id=191258.mp3"],
["秋天的童话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191015.mp3","http://music.163.com/song/media/outer/url?id=191015.mp3"],
["Bamboo (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1318531024.mp3","http://music.163.com/song/media/outer/url?id=1318531024.mp3"],
["第一夫人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190993.mp3","http://music.163.com/song/media/outer/url?id=190993.mp3"],
["浩瀚","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179893.mp3","http://music.163.com/song/media/outer/url?id=34179893.mp3"],
["快乐出发","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5242816.mp3","http://music.163.com/song/media/outer/url?id=5242816.mp3"],
["最接近天堂的地方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190995.mp3","http://music.163.com/song/media/outer/url?id=190995.mp3"],
["直到世界尽头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32192765.mp3","http://music.163.com/song/media/outer/url?id=32192765.mp3"],
["爱的供养","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179921.mp3","http://music.163.com/song/media/outer/url?id=34179921.mp3"],
["默 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460514434.mp3","http://music.163.com/song/media/outer/url?id=460514434.mp3"],
["无情的情书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28427765.mp3","http://music.163.com/song/media/outer/url?id=28427765.mp3"],
["爱，不解释","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27853883.mp3","http://music.163.com/song/media/outer/url?id=27853883.mp3"],
["云中的Angel","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191084.mp3","http://music.163.com/song/media/outer/url?id=191084.mp3"],
["FAST","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526652579.mp3","http://music.163.com/song/media/outer/url?id=526652579.mp3"],
["自己 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=467952050.mp3","http://music.163.com/song/media/outer/url?id=467952050.mp3"],
["今生今世","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191086.mp3","http://music.163.com/song/media/outer/url?id=191086.mp3"],
["穿越人海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191183.mp3","http://music.163.com/song/media/outer/url?id=191183.mp3"],
["很奇怪我爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29122484.mp3","http://music.163.com/song/media/outer/url?id=29122484.mp3"],
["这里是神奇的赛尔号","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191037.mp3","http://music.163.com/song/media/outer/url?id=191037.mp3"],
["搁浅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190964.mp3","http://music.163.com/song/media/outer/url?id=190964.mp3"],
["Torches","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482988169.mp3","http://music.163.com/song/media/outer/url?id=482988169.mp3"],
["我的舞台","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191146.mp3","http://music.163.com/song/media/outer/url?id=191146.mp3"],
["老婆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34179922.mp3","http://music.163.com/song/media/outer/url?id=34179922.mp3"],
["你在哪里","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28126757.mp3","http://music.163.com/song/media/outer/url?id=28126757.mp3"]
]
#张学友
zhangxueyou = [
["烦恼歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187672.mp3","http://music.163.com/song/media/outer/url?id=187672.mp3"],
["遥远的她","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=191232.mp3","http://music.163.com/song/media/outer/url?id=191232.mp3"],
["如果这都不算爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188432.mp3","http://music.163.com/song/media/outer/url?id=188432.mp3"],
["慢慢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189315.mp3","http://music.163.com/song/media/outer/url?id=189315.mp3"],
["吻别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190449.mp3","http://music.163.com/song/media/outer/url?id=190449.mp3"],
["饿狼传说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190270.mp3","http://music.163.com/song/media/outer/url?id=190270.mp3"],
["一千个伤心的理由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189396.mp3","http://music.163.com/song/media/outer/url?id=189396.mp3"],
["只想一生跟你走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189987.mp3","http://music.163.com/song/media/outer/url?id=189987.mp3"],
["情书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188674.mp3","http://music.163.com/song/media/outer/url?id=188674.mp3"],
["我真的受伤了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188429.mp3","http://music.163.com/song/media/outer/url?id=188429.mp3"],
["她来听我的演唱会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188647.mp3","http://music.163.com/song/media/outer/url?id=188647.mp3"],
["等你等到我心痛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190360.mp3","http://music.163.com/song/media/outer/url?id=190360.mp3"],
["还是觉得你最好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190380.mp3","http://music.163.com/song/media/outer/url?id=190380.mp3"],
["李香兰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188703.mp3","http://music.163.com/song/media/outer/url?id=188703.mp3"],
["你最珍贵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188657.mp3","http://music.163.com/song/media/outer/url?id=188657.mp3"],
["一路上有你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188071.mp3","http://music.163.com/song/media/outer/url?id=188071.mp3"],
["相爱很难(电影\"男人四十\"歌曲)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36861904.mp3","http://music.163.com/song/media/outer/url?id=36861904.mp3"],
["离开以后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189841.mp3","http://music.163.com/song/media/outer/url?id=189841.mp3"],
["心如刀割","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188671.mp3","http://music.163.com/song/media/outer/url?id=188671.mp3"],
["相思风雨中","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188555.mp3","http://music.163.com/song/media/outer/url?id=188555.mp3"],
["承诺(香港版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251209.mp3","http://music.163.com/song/media/outer/url?id=5251209.mp3"],
["回头太难","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189072.mp3","http://music.163.com/song/media/outer/url?id=189072.mp3"],
["每天爱你多一些","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190563.mp3","http://music.163.com/song/media/outer/url?id=190563.mp3"],
["离人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188989.mp3","http://music.163.com/song/media/outer/url?id=188989.mp3"],
["祝福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190328.mp3","http://music.163.com/song/media/outer/url?id=190328.mp3"],
["雨夜的浪漫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188747.mp3","http://music.163.com/song/media/outer/url?id=188747.mp3"],
["旧情绵绵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189714.mp3","http://music.163.com/song/media/outer/url?id=189714.mp3"],
["忘情冷雨夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190807.mp3","http://music.163.com/song/media/outer/url?id=190807.mp3"],
["秋意浓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190473.mp3","http://music.163.com/song/media/outer/url?id=190473.mp3"],
["夕阳醉了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190808.mp3","http://music.163.com/song/media/outer/url?id=190808.mp3"],
["忘记你我做不到","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189313.mp3","http://music.163.com/song/media/outer/url?id=189313.mp3"],
["只愿一生爱一人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190803.mp3","http://music.163.com/song/media/outer/url?id=190803.mp3"],
["你的名字 我的姓氏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110805.mp3","http://music.163.com/song/media/outer/url?id=110805.mp3"],
["咖啡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188261.mp3","http://music.163.com/song/media/outer/url?id=188261.mp3"],
["头发乱了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189012.mp3","http://music.163.com/song/media/outer/url?id=189012.mp3"],
["我等到花儿也谢了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189873.mp3","http://music.163.com/song/media/outer/url?id=189873.mp3"],
["情网","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190452.mp3","http://music.163.com/song/media/outer/url?id=190452.mp3"],
["分手总要在雨天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190372.mp3","http://music.163.com/song/media/outer/url?id=190372.mp3"],
["月半弯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251908.mp3","http://music.163.com/song/media/outer/url?id=5251908.mp3"],
["地球大合唱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5285096.mp3","http://music.163.com/song/media/outer/url?id=5285096.mp3"],
["这么近那么远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94743.mp3","http://music.163.com/song/media/outer/url?id=94743.mp3"],
["约定 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187911.mp3","http://music.163.com/song/media/outer/url?id=187911.mp3"],
["情人 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187966.mp3","http://music.163.com/song/media/outer/url?id=187966.mp3"],
["如果.爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4875060.mp3","http://music.163.com/song/media/outer/url?id=4875060.mp3"],
["想和你去吹吹风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189212.mp3","http://music.163.com/song/media/outer/url?id=189212.mp3"],
["听海 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187908.mp3","http://music.163.com/song/media/outer/url?id=187908.mp3"],
["谁是大英雄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27906003.mp3","http://music.163.com/song/media/outer/url?id=27906003.mp3"],
["爱很简单 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=187944.mp3","http://music.163.com/song/media/outer/url?id=187944.mp3"],
["最好的声音","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5277180.mp3","http://music.163.com/song/media/outer/url?id=5277180.mp3"],
["爱你痛到不知痛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188948.mp3","http://music.163.com/song/media/outer/url?id=188948.mp3"]
]
#张艺兴
zhangyixing = [
["Lovebird (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1365657862.mp3","http://music.163.com/song/media/outer/url?id=1365657862.mp3"],
["一个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36668004.mp3","http://music.163.com/song/media/outer/url?id=36668004.mp3"],
["When It's Christmas","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334820713.mp3","http://music.163.com/song/media/outer/url?id=1334820713.mp3"],
["最好的舞台","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536624444.mp3","http://music.163.com/song/media/outer/url?id=536624444.mp3"],
["祈愿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475279382.mp3","http://music.163.com/song/media/outer/url?id=475279382.mp3"],
["男人的事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=399552071.mp3","http://music.163.com/song/media/outer/url?id=399552071.mp3"],
["青春颂 (男生版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1362942938.mp3","http://music.163.com/song/media/outer/url?id=1362942938.mp3"],
["Call You Mine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28310623.mp3","http://music.163.com/song/media/outer/url?id=28310623.mp3"],
["MY GIRL","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27946123.mp3","http://music.163.com/song/media/outer/url?id=27946123.mp3"],
["青春快乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36307081.mp3","http://music.163.com/song/media/outer/url?id=36307081.mp3"],
["想你想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27946124.mp3","http://music.163.com/song/media/outer/url?id=27946124.mp3"],
["歌舞：中国喜事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344023014.mp3","http://music.163.com/song/media/outer/url?id=1344023014.mp3"],
["因为你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28253981.mp3","http://music.163.com/song/media/outer/url?id=28253981.mp3"],
["眼泪机场","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27906011.mp3","http://music.163.com/song/media/outer/url?id=27906011.mp3"],
["自己的舞台","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34834975.mp3","http://music.163.com/song/media/outer/url?id=34834975.mp3"],
["给妈妈的一首歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28528757.mp3","http://music.163.com/song/media/outer/url?id=28528757.mp3"],
["想说心里的话给你听","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27946125.mp3","http://music.163.com/song/media/outer/url?id=27946125.mp3"]
]
#赵雷
zhaolei = [
["成都","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=436514312.mp3","http://music.163.com/song/media/outer/url?id=436514312.mp3"],
["南方姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202373.mp3","http://music.163.com/song/media/outer/url?id=202373.mp3"],
["理想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567189.mp3","http://music.163.com/song/media/outer/url?id=29567189.mp3"],
["我们的时光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567193.mp3","http://music.163.com/song/media/outer/url?id=29567193.mp3"],
["画","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202369.mp3","http://music.163.com/song/media/outer/url?id=202369.mp3"],
["少年锦时","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567192.mp3","http://music.163.com/song/media/outer/url?id=29567192.mp3"],
["鼓楼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447926067.mp3","http://music.163.com/song/media/outer/url?id=447926067.mp3"],
["阿刁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447925059.mp3","http://music.163.com/song/media/outer/url?id=447925059.mp3"],
["三十岁的女人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567191.mp3","http://music.163.com/song/media/outer/url?id=29567191.mp3"],
["八十年代的歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447925066.mp3","http://music.163.com/song/media/outer/url?id=447925066.mp3"],
["十九岁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=530995556.mp3","http://music.163.com/song/media/outer/url?id=530995556.mp3"],
["玛丽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447925058.mp3","http://music.163.com/song/media/outer/url?id=447925058.mp3"],
["朵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447926063.mp3","http://music.163.com/song/media/outer/url?id=447926063.mp3"],
["吉姆餐厅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567187.mp3","http://music.163.com/song/media/outer/url?id=29567187.mp3"],
["彩虹下面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1295824647.mp3","http://music.163.com/song/media/outer/url?id=1295824647.mp3"],
["让我偷偷看你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33166602.mp3","http://music.163.com/song/media/outer/url?id=33166602.mp3"],
["无法长大","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437608773.mp3","http://music.163.com/song/media/outer/url?id=437608773.mp3"],
["已是两条路上的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111471.mp3","http://music.163.com/song/media/outer/url?id=28111471.mp3"],
["未给姐姐递出的信","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202368.mp3","http://music.163.com/song/media/outer/url?id=202368.mp3"],
["静下来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=517567264.mp3","http://music.163.com/song/media/outer/url?id=517567264.mp3"],
["妈妈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202377.mp3","http://music.163.com/song/media/outer/url?id=202377.mp3"],
["北京的冬天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567185.mp3","http://music.163.com/song/media/outer/url?id=29567185.mp3"],
["梦中的哈德森","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567190.mp3","http://music.163.com/song/media/outer/url?id=29567190.mp3"],
["再也不会去丽江","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34852810.mp3","http://music.163.com/song/media/outer/url?id=34852810.mp3"],
["人家","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202367.mp3","http://music.163.com/song/media/outer/url?id=202367.mp3"],
["孤独","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447925063.mp3","http://music.163.com/song/media/outer/url?id=447925063.mp3"],
["小屋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567194.mp3","http://music.163.com/song/media/outer/url?id=29567194.mp3"],
["再见北京","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447925067.mp3","http://music.163.com/song/media/outer/url?id=447925067.mp3"],
["月亮粑粑 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460628183.mp3","http://music.163.com/song/media/outer/url?id=460628183.mp3"],
["不开的唇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202370.mp3","http://music.163.com/song/media/outer/url?id=202370.mp3"],
["背影","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202376.mp3","http://music.163.com/song/media/outer/url?id=202376.mp3"],
["浮游","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29567186.mp3","http://music.163.com/song/media/outer/url?id=29567186.mp3"],
["开往北京的火车","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202375.mp3","http://music.163.com/song/media/outer/url?id=202375.mp3"],
["窑上路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=447926068.mp3","http://music.163.com/song/media/outer/url?id=447926068.mp3"],
["赵小雷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202371.mp3","http://music.163.com/song/media/outer/url?id=202371.mp3"],
["未给姐姐递出的信 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29810320.mp3","http://music.163.com/song/media/outer/url?id=29810320.mp3"],
["民谣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=433018041.mp3","http://music.163.com/song/media/outer/url?id=433018041.mp3"],
["Over","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=202374.mp3","http://music.163.com/song/media/outer/url?id=202374.mp3"],
["朵儿 (Live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553546118.mp3","http://music.163.com/song/media/outer/url?id=553546118.mp3"],
["1三十岁的女人（Cover：赵雷）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1327930869.mp3","http://music.163.com/song/media/outer/url?id=1327930869.mp3"]
]
#周传雄
zhouchuanxiong = [
["黄昏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190072.mp3","http://music.163.com/song/media/outer/url?id=190072.mp3"],
["寂寞沙洲冷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189688.mp3","http://music.163.com/song/media/outer/url?id=189688.mp3"],
["有没有一首歌会让你想起我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189895.mp3","http://music.163.com/song/media/outer/url?id=189895.mp3"],
["关不上的窗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406730432.mp3","http://music.163.com/song/media/outer/url?id=406730432.mp3"],
["青花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189602.mp3","http://music.163.com/song/media/outer/url?id=189602.mp3"],
["我的心太乱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=200436.mp3","http://music.163.com/song/media/outer/url?id=200436.mp3"],
["花香","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189907.mp3","http://music.163.com/song/media/outer/url?id=189907.mp3"],
["出卖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190042.mp3","http://music.163.com/song/media/outer/url?id=190042.mp3"],
["蓝色土耳其","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189586.mp3","http://music.163.com/song/media/outer/url?id=189586.mp3"],
["男人.海洋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189735.mp3","http://music.163.com/song/media/outer/url?id=189735.mp3"],
["弱水三千","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189593.mp3","http://music.163.com/song/media/outer/url?id=189593.mp3"],
["记事本","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190062.mp3","http://music.163.com/song/media/outer/url?id=190062.mp3"],
["冬天的秘密","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189545.mp3","http://music.163.com/song/media/outer/url?id=189545.mp3"],
["末班车","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190082.mp3","http://music.163.com/song/media/outer/url?id=190082.mp3"],
["最爱你的时候","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189751.mp3","http://music.163.com/song/media/outer/url?id=189751.mp3"],
["我难过","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189903.mp3","http://music.163.com/song/media/outer/url?id=189903.mp3"],
["不如笑归去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=493042944.mp3","http://music.163.com/song/media/outer/url?id=493042944.mp3"],
["樱吹雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29572046.mp3","http://music.163.com/song/media/outer/url?id=29572046.mp3"],
["忘记","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190038.mp3","http://music.163.com/song/media/outer/url?id=190038.mp3"],
["再见北极雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189705.mp3","http://music.163.com/song/media/outer/url?id=189705.mp3"],
["暖风","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=200437.mp3","http://music.163.com/song/media/outer/url?id=200437.mp3"],
["今宵酒醒何处 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427142762.mp3","http://music.163.com/song/media/outer/url?id=427142762.mp3"],
["上古之诺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485354215.mp3","http://music.163.com/song/media/outer/url?id=485354215.mp3"],
["哈萨雅琪2003","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189914.mp3","http://music.163.com/song/media/outer/url?id=189914.mp3"],
["坏感觉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189680.mp3","http://music.163.com/song/media/outer/url?id=189680.mp3"],
["灵药","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189642.mp3","http://music.163.com/song/media/outer/url?id=189642.mp3"],
["临别一眼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189563.mp3","http://music.163.com/song/media/outer/url?id=189563.mp3"],
["黄粱梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189542.mp3","http://music.163.com/song/media/outer/url?id=189542.mp3"],
["孤单大街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189552.mp3","http://music.163.com/song/media/outer/url?id=189552.mp3"],
["爱的告别式","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189739.mp3","http://music.163.com/song/media/outer/url?id=189739.mp3"],
["送别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189567.mp3","http://music.163.com/song/media/outer/url?id=189567.mp3"],
["伤心酒杯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189559.mp3","http://music.163.com/song/media/outer/url?id=189559.mp3"],
["啤酒泡泡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=190067.mp3","http://music.163.com/song/media/outer/url?id=190067.mp3"],
["幸福的瞬间(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189834.mp3","http://music.163.com/song/media/outer/url?id=189834.mp3"],
["空心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=200441.mp3","http://music.163.com/song/media/outer/url?id=200441.mp3"],
["微凉的记忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189497.mp3","http://music.163.com/song/media/outer/url?id=189497.mp3"],
["寂寞边界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189608.mp3","http://music.163.com/song/media/outer/url?id=189608.mp3"],
["快乐练习曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189636.mp3","http://music.163.com/song/media/outer/url?id=189636.mp3"],
["星空下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189684.mp3","http://music.163.com/song/media/outer/url?id=189684.mp3"],
["岁月风云","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=112239.mp3","http://music.163.com/song/media/outer/url?id=112239.mp3"],
["春神曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189718.mp3","http://music.163.com/song/media/outer/url?id=189718.mp3"],
["恋人创世纪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189536.mp3","http://music.163.com/song/media/outer/url?id=189536.mp3"],
["满院落叶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722673.mp3","http://music.163.com/song/media/outer/url?id=29722673.mp3"],
["不要问我分手后怎么过","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=200448.mp3","http://music.163.com/song/media/outer/url?id=200448.mp3"],
["二分之一的爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=200457.mp3","http://music.163.com/song/media/outer/url?id=200457.mp3"],
["我在身边","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189883.mp3","http://music.163.com/song/media/outer/url?id=189883.mp3"],
["时不知归","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29600427.mp3","http://music.163.com/song/media/outer/url?id=29600427.mp3"],
["还原","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189743.mp3","http://music.163.com/song/media/outer/url?id=189743.mp3"],
["匆匆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189494.mp3","http://music.163.com/song/media/outer/url?id=189494.mp3"],
["黛芬妮的异想世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722675.mp3","http://music.163.com/song/media/outer/url?id=29722675.mp3"]
]
#欧美
oumei = [
["Turnin'","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28859948.mp3","http://music.163.com/song/media/outer/url?id=28859948.mp3"],
["Wolves","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515269424.mp3","http://music.163.com/song/media/outer/url?id=515269424.mp3"],
["Too Far","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28442976.mp3","http://music.163.com/song/media/outer/url?id=28442976.mp3"],
["Send It ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426291544.mp3","http://music.163.com/song/media/outer/url?id=426291544.mp3"],
["I Am You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2919622.mp3","http://music.163.com/song/media/outer/url?id=2919622.mp3"],
["erscheint","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=511694413.mp3","http://music.163.com/song/media/outer/url?id=511694413.mp3"],
["Pretty Girl (Cheat Codes X CADE Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=465920775.mp3","http://music.163.com/song/media/outer/url?id=465920775.mp3"],
["Marry You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657282.mp3","http://music.163.com/song/media/outer/url?id=25657282.mp3"],
["HandClap","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407839677.mp3","http://music.163.com/song/media/outer/url?id=407839677.mp3"],
["Innocence","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16431842.mp3","http://music.163.com/song/media/outer/url?id=16431842.mp3"],
["How Long","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509728806.mp3","http://music.163.com/song/media/outer/url?id=509728806.mp3"],
["As You Are","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=401249912.mp3","http://music.163.com/song/media/outer/url?id=401249912.mp3"],
["Bang Bang","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28850212.mp3","http://music.163.com/song/media/outer/url?id=28850212.mp3"],
["Shutterbug","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428203132.mp3","http://music.163.com/song/media/outer/url?id=428203132.mp3"],
["The Spectre","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=506092035.mp3","http://music.163.com/song/media/outer/url?id=506092035.mp3"],
["Friendships (Original Mix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=505449407.mp3","http://music.163.com/song/media/outer/url?id=505449407.mp3"],
["The Monster","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27902187.mp3","http://music.163.com/song/media/outer/url?id=27902187.mp3"],
["Dangerously","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=401249909.mp3","http://music.163.com/song/media/outer/url?id=401249909.mp3"],
["Locked Away","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406072193.mp3","http://music.163.com/song/media/outer/url?id=406072193.mp3"],
["Uptown Funk","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722263.mp3","http://music.163.com/song/media/outer/url?id=29722263.mp3"],
["Time Machine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28402345.mp3","http://music.163.com/song/media/outer/url?id=28402345.mp3"],
["Staring At You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27863779.mp3","http://music.163.com/song/media/outer/url?id=27863779.mp3"],
["There For You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=480426313.mp3","http://music.163.com/song/media/outer/url?id=480426313.mp3"],
["Beautiful Now","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32019002.mp3","http://music.163.com/song/media/outer/url?id=32019002.mp3"],
["Wild Wild Web","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1600454.mp3","http://music.163.com/song/media/outer/url?id=1600454.mp3"],
["Echoes In Rain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35307141.mp3","http://music.163.com/song/media/outer/url?id=35307141.mp3"],
["What Are Words","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1210496.mp3","http://music.163.com/song/media/outer/url?id=1210496.mp3"],
["Safe And Sound","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2001472.mp3","http://music.163.com/song/media/outer/url?id=2001472.mp3"],
["Loving Strangers","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2788529.mp3","http://music.163.com/song/media/outer/url?id=2788529.mp3"],
["Pink Champagne","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448749148.mp3","http://music.163.com/song/media/outer/url?id=448749148.mp3"],
["The sally gardens","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5127563.mp3","http://music.163.com/song/media/outer/url?id=5127563.mp3"],
["It's Not Good-Bye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21035006.mp3","http://music.163.com/song/media/outer/url?id=21035006.mp3"],
["Black Black Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22215518.mp3","http://music.163.com/song/media/outer/url?id=22215518.mp3"],
["Head Above Water","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1310906383.mp3","http://music.163.com/song/media/outer/url?id=1310906383.mp3"],
["I Am Me Once More","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19900531.mp3","http://music.163.com/song/media/outer/url?id=19900531.mp3"],
["Five Hundred Miles","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27759600.mp3","http://music.163.com/song/media/outer/url?id=27759600.mp3"],
["Shape Of My Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1934649.mp3","http://music.163.com/song/media/outer/url?id=1934649.mp3"],
["Talking to the Moon","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657274.mp3","http://music.163.com/song/media/outer/url?id=25657274.mp3"],
["Run Free (feat. IVIE)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=500410102.mp3","http://music.163.com/song/media/outer/url?id=500410102.mp3"],
["The Story Never Ends (Piano Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=437802479.mp3","http://music.163.com/song/media/outer/url?id=437802479.mp3"],
["Closer (R3hab Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428591384.mp3","http://music.163.com/song/media/outer/url?id=428591384.mp3"],
["Missin' You Like Crazy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30431647.mp3","http://music.163.com/song/media/outer/url?id=30431647.mp3"],
["Forever Starts Tonight","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27879263.mp3","http://music.163.com/song/media/outer/url?id=27879263.mp3"],
["Love The Way You Lie","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1297841.mp3","http://music.163.com/song/media/outer/url?id=1297841.mp3"],
["Break Up in a Small Town","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29592100.mp3","http://music.163.com/song/media/outer/url?id=29592100.mp3"],
["I Knew You Were Trouble.","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25648017.mp3","http://music.163.com/song/media/outer/url?id=25648017.mp3"],
["This Is What You Came For","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411314681.mp3","http://music.163.com/song/media/outer/url?id=411314681.mp3"],
["Hymn For The Weekend [Remix]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419594258.mp3","http://music.163.com/song/media/outer/url?id=419594258.mp3"],
["Stronger (What Doesn't Kill You)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2870985.mp3","http://music.163.com/song/media/outer/url?id=2870985.mp3"],
["I Don't Want To Say Goodbye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1377247.mp3","http://music.163.com/song/media/outer/url?id=1377247.mp3"],
["Ain't My Fault (R3hab Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=433018366.mp3","http://music.163.com/song/media/outer/url?id=433018366.mp3"],
["I Hate Myself For Loving You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4132379.mp3","http://music.163.com/song/media/outer/url?id=4132379.mp3"],
["All Hands On Deck (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30706128.mp3","http://music.163.com/song/media/outer/url?id=30706128.mp3"],
["What Makes You Beautiful","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17753288.mp3","http://music.163.com/song/media/outer/url?id=17753288.mp3"],
["Imagine Me Without You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2781188.mp3","http://music.163.com/song/media/outer/url?id=2781188.mp3"],
["Only Girl (In The World)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21563197.mp3","http://music.163.com/song/media/outer/url?id=21563197.mp3"],
["Spirit of the Living God","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27583632.mp3","http://music.163.com/song/media/outer/url?id=27583632.mp3"],
["We Don't Talk Anymore","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=401249910.mp3","http://music.163.com/song/media/outer/url?id=401249910.mp3"],
["Just Give Me A Reason","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21373645.mp3","http://music.163.com/song/media/outer/url?id=21373645.mp3"],
["Beauty And The Beast","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38358219.mp3","http://music.163.com/song/media/outer/url?id=38358219.mp3"],
["In Between The Lines","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19274539.mp3","http://music.163.com/song/media/outer/url?id=19274539.mp3"],
["Clsr (Aash Mehta Flip)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=427142481.mp3","http://music.163.com/song/media/outer/url?id=427142481.mp3"],
["I Will Always Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3819561.mp3","http://music.163.com/song/media/outer/url?id=3819561.mp3"],
["Just One Last Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21674656.mp3","http://music.163.com/song/media/outer/url?id=21674656.mp3"],
["The Long Way Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32341397.mp3","http://music.163.com/song/media/outer/url?id=32341397.mp3"],
["Work (R3hab Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407000354.mp3","http://music.163.com/song/media/outer/url?id=407000354.mp3"],
["All About that Bass","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28756834.mp3","http://music.163.com/song/media/outer/url?id=28756834.mp3"],
["Rhythm Of The Rain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=228254.mp3","http://music.163.com/song/media/outer/url?id=228254.mp3"],
["I Love Rock 'N Roll","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18411150.mp3","http://music.163.com/song/media/outer/url?id=18411150.mp3"],
["A Place Called You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27871272.mp3","http://music.163.com/song/media/outer/url?id=27871272.mp3"],
["You Are Not Alone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1697653.mp3","http://music.163.com/song/media/outer/url?id=1697653.mp3"],
["Stay Here Forever","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18836961.mp3","http://music.163.com/song/media/outer/url?id=18836961.mp3"],
["Careless Whisper","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18003388.mp3","http://music.163.com/song/media/outer/url?id=18003388.mp3"],
["A Little Inspiration","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18708522.mp3","http://music.163.com/song/media/outer/url?id=18708522.mp3"],
["Bomb Digga Woo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=444548120.mp3","http://music.163.com/song/media/outer/url?id=444548120.mp3"],
["Dream It Possible","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38592976.mp3","http://music.163.com/song/media/outer/url?id=38592976.mp3"],
["Work from Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=404783205.mp3","http://music.163.com/song/media/outer/url?id=404783205.mp3"],
["Catch My Breath","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26613394.mp3","http://music.163.com/song/media/outer/url?id=26613394.mp3"],
["Outlaws Of Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16343629.mp3","http://music.163.com/song/media/outer/url?id=16343629.mp3"],
["Lost In Paradise","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5150332.mp3","http://music.163.com/song/media/outer/url?id=5150332.mp3"],
["Drunk Together","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=484614820.mp3","http://music.163.com/song/media/outer/url?id=484614820.mp3"],
["Look At Me Now","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28188171.mp3","http://music.163.com/song/media/outer/url?id=28188171.mp3"],
["Say Something","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28208046.mp3","http://music.163.com/song/media/outer/url?id=28208046.mp3"],
["We Found Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3313334.mp3","http://music.163.com/song/media/outer/url?id=3313334.mp3"],
["Raincoat Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30569907.mp3","http://music.163.com/song/media/outer/url?id=30569907.mp3"],
["Need You Now","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4154790.mp3","http://music.163.com/song/media/outer/url?id=4154790.mp3"],
["Bigcitydreams","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21267236.mp3","http://music.163.com/song/media/outer/url?id=21267236.mp3"],
["Romeo's Tune","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17950509.mp3","http://music.163.com/song/media/outer/url?id=17950509.mp3"],
["We Can't Stop","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29480187.mp3","http://music.163.com/song/media/outer/url?id=29480187.mp3"],
["Love Paradise","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=213737.mp3","http://music.163.com/song/media/outer/url?id=213737.mp3"],
["Wrecking Ball","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27697195.mp3","http://music.163.com/song/media/outer/url?id=27697195.mp3"],
["When I Dream","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5201771.mp3","http://music.163.com/song/media/outer/url?id=5201771.mp3"],
["La Isla Bonita","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3031161.mp3","http://music.163.com/song/media/outer/url?id=3031161.mp3"],
["Love In A Box","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4380582.mp3","http://music.163.com/song/media/outer/url?id=4380582.mp3"],
["I Stay In Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21233924.mp3","http://music.163.com/song/media/outer/url?id=21233924.mp3"],
["Sketch Plane","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1212320.mp3","http://music.163.com/song/media/outer/url?id=1212320.mp3"],
["Ordinary Day","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3157058.mp3","http://music.163.com/song/media/outer/url?id=3157058.mp3"],
["Turn Around","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3560461.mp3","http://music.163.com/song/media/outer/url?id=3560461.mp3"],
["Really Really","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=39122667.mp3","http://music.163.com/song/media/outer/url?id=39122667.mp3"],
["Bye Bye Bye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4164331.mp3","http://music.163.com/song/media/outer/url?id=4164331.mp3"],
["Bressanone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1696822.mp3","http://music.163.com/song/media/outer/url?id=1696822.mp3"],
["Without You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3029019.mp3","http://music.163.com/song/media/outer/url?id=3029019.mp3"],
["I Remember","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3026583.mp3","http://music.163.com/song/media/outer/url?id=3026583.mp3"],
["Casablanca","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5120906.mp3","http://music.163.com/song/media/outer/url?id=5120906.mp3"],
["Just Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21038756.mp3","http://music.163.com/song/media/outer/url?id=21038756.mp3"],
["Lemon Tree","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25698040.mp3","http://music.163.com/song/media/outer/url?id=25698040.mp3"],
["We Are One","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19033169.mp3","http://music.163.com/song/media/outer/url?id=19033169.mp3"],
["Dark Horse","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731239.mp3","http://music.163.com/song/media/outer/url?id=27731239.mp3"],
["Take a Bow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3314177.mp3","http://music.163.com/song/media/outer/url?id=3314177.mp3"],
["Everybody","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18374823.mp3","http://music.163.com/song/media/outer/url?id=18374823.mp3"],
["Jambalaya","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3985585.mp3","http://music.163.com/song/media/outer/url?id=3985585.mp3"],
["Letting Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18708516.mp3","http://music.163.com/song/media/outer/url?id=18708516.mp3"],
["Raindrops","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27984052.mp3","http://music.163.com/song/media/outer/url?id=27984052.mp3"],
["Gorgeous","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=514235010.mp3","http://music.163.com/song/media/outer/url?id=514235010.mp3"],
["Only Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2006865.mp3","http://music.163.com/song/media/outer/url?id=2006865.mp3"],
["Billie Jean","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26643898.mp3","http://music.163.com/song/media/outer/url?id=26643898.mp3"],
["Boyfriend","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18638060.mp3","http://music.163.com/song/media/outer/url?id=18638060.mp3"],
["Nocturne","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4278232.mp3","http://music.163.com/song/media/outer/url?id=4278232.mp3"],
["New York","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26270153.mp3","http://music.163.com/song/media/outer/url?id=26270153.mp3"],
["Diamonds","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21563184.mp3","http://music.163.com/song/media/outer/url?id=21563184.mp3"],
["Monsters","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28481189.mp3","http://music.163.com/song/media/outer/url?id=28481189.mp3"],
["Firework","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2871217.mp3","http://music.163.com/song/media/outer/url?id=2871217.mp3"],
["Sailboats","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19182328.mp3","http://music.163.com/song/media/outer/url?id=19182328.mp3"],
["That Girl","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=440208476.mp3","http://music.163.com/song/media/outer/url?id=440208476.mp3"],
["All of Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27556211.mp3","http://music.163.com/song/media/outer/url?id=27556211.mp3"],
["Worth It","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30212890.mp3","http://music.163.com/song/media/outer/url?id=30212890.mp3"],
["Panama","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34229976.mp3","http://music.163.com/song/media/outer/url?id=34229976.mp3"],
["Bye Bye (Album Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21234420.mp3","http://music.163.com/song/media/outer/url?id=21234420.mp3"],
["superlit","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509612912.mp3","http://music.163.com/song/media/outer/url?id=509612912.mp3"],
["TiK ToK","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2918954.mp3","http://music.163.com/song/media/outer/url?id=2918954.mp3"],
["Lullaby","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22843782.mp3","http://music.163.com/song/media/outer/url?id=22843782.mp3"],
["Get Up","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27501811.mp3","http://music.163.com/song/media/outer/url?id=27501811.mp3"],
["Yellow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17177324.mp3","http://music.163.com/song/media/outer/url?id=17177324.mp3"],
["So:Lo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2872271.mp3","http://music.163.com/song/media/outer/url?id=2872271.mp3"],
["Annie","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30967929.mp3","http://music.163.com/song/media/outer/url?id=30967929.mp3"],
["Oops","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=441491080.mp3","http://music.163.com/song/media/outer/url?id=441491080.mp3"],
["She","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4083642.mp3","http://music.163.com/song/media/outer/url?id=4083642.mp3"],
["GQ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=410654865.mp3","http://music.163.com/song/media/outer/url?id=410654865.mp3"],
["Stay","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3560431.mp3","http://music.163.com/song/media/outer/url?id=3560431.mp3"],
["Lucky","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=497463179.mp3","http://music.163.com/song/media/outer/url?id=497463179.mp3"],
["Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707696.mp3","http://music.163.com/song/media/outer/url?id=20707696.mp3"],
["Річка","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25862794.mp3","http://music.163.com/song/media/outer/url?id=25862794.mp3"],
["Sugar","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29019227.mp3","http://music.163.com/song/media/outer/url?id=29019227.mp3"],
["Gwola","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33469355.mp3","http://music.163.com/song/media/outer/url?id=33469355.mp3"],
["Parties","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=484365611.mp3","http://music.163.com/song/media/outer/url?id=484365611.mp3"],
["Beat It","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1698391.mp3","http://music.163.com/song/media/outer/url?id=1698391.mp3"],
["Slippin","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28592013.mp3","http://music.163.com/song/media/outer/url?id=28592013.mp3"],
["Patient","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557583012.mp3","http://music.163.com/song/media/outer/url?id=557583012.mp3"],
["Whistle","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17793698.mp3","http://music.163.com/song/media/outer/url?id=17793698.mp3"],
["Animals","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28987626.mp3","http://music.163.com/song/media/outer/url?id=28987626.mp3"],
["Hey Jude","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287565.mp3","http://music.163.com/song/media/outer/url?id=287565.mp3"],
["Attention","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473817398.mp3","http://music.163.com/song/media/outer/url?id=473817398.mp3"],
["Riverside","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16426485.mp3","http://music.163.com/song/media/outer/url?id=16426485.mp3"],
["Free Loop","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5253801.mp3","http://music.163.com/song/media/outer/url?id=5253801.mp3"],
["Payphone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4172700.mp3","http://music.163.com/song/media/outer/url?id=4172700.mp3"],
["Die Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25704014.mp3","http://music.163.com/song/media/outer/url?id=25704014.mp3"],
["Good Time","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17706562.mp3","http://music.163.com/song/media/outer/url?id=17706562.mp3"],
["Craigie Hill","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17110575.mp3","http://music.163.com/song/media/outer/url?id=17110575.mp3"],
["Light A Fire","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29497924.mp3","http://music.163.com/song/media/outer/url?id=29497924.mp3"],
["Heartbeats","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2175282.mp3","http://music.163.com/song/media/outer/url?id=2175282.mp3"],
["Fingerprints","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27533158.mp3","http://music.163.com/song/media/outer/url?id=27533158.mp3"],
["Missing You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1089382.mp3","http://music.163.com/song/media/outer/url?id=1089382.mp3"],
["Count on Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25714146.mp3","http://music.163.com/song/media/outer/url?id=25714146.mp3"],
["Summer Vibe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4433364.mp3","http://music.163.com/song/media/outer/url?id=4433364.mp3"],
["Bad Romance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21038694.mp3","http://music.163.com/song/media/outer/url?id=21038694.mp3"],
["Take me hand","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26092806.mp3","http://music.163.com/song/media/outer/url?id=26092806.mp3"],
["If I Were a Boy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2188283.mp3","http://music.163.com/song/media/outer/url?id=2188283.mp3"],
["Call Me Maybe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17112299.mp3","http://music.163.com/song/media/outer/url?id=17112299.mp3"],
["Counting Stars","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26060065.mp3","http://music.163.com/song/media/outer/url?id=26060065.mp3"],
["A Place Nearby","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22566555.mp3","http://music.163.com/song/media/outer/url?id=22566555.mp3"],
["Please Don't Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=37653063.mp3","http://music.163.com/song/media/outer/url?id=37653063.mp3"],
["Hey, Soul Sister","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21803920.mp3","http://music.163.com/song/media/outer/url?id=21803920.mp3"],
["I Really Like You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32574252.mp3","http://music.163.com/song/media/outer/url?id=32574252.mp3"],
["why would I ever","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30987642.mp3","http://music.163.com/song/media/outer/url?id=30987642.mp3"],
["Back to Beginng","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1215398.mp3","http://music.163.com/song/media/outer/url?id=1215398.mp3"],
["Why Would I Ever","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3305969.mp3","http://music.163.com/song/media/outer/url?id=3305969.mp3"],
["Despacito (Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=472361096.mp3","http://music.163.com/song/media/outer/url?id=472361096.mp3"],
["When You Believe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3027425.mp3","http://music.163.com/song/media/outer/url?id=3027425.mp3"],
["Till The World Ends","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20515814.mp3","http://music.163.com/song/media/outer/url?id=20515814.mp3"],
["Cry On My Shoulder","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17194024.mp3","http://music.163.com/song/media/outer/url?id=17194024.mp3"],
["My Heart Will Go On","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2308499.mp3","http://music.163.com/song/media/outer/url?id=2308499.mp3"],
["The Ocean (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409916250.mp3","http://music.163.com/song/media/outer/url?id=409916250.mp3"],
["Whiskey and Morphine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=416700932.mp3","http://music.163.com/song/media/outer/url?id=416700932.mp3"],
["Be What You Wanna Be","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1217823.mp3","http://music.163.com/song/media/outer/url?id=1217823.mp3"],
["Always Getting Over You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2118992.mp3","http://music.163.com/song/media/outer/url?id=2118992.mp3"],
["Wonderful U (Demo Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406475394.mp3","http://music.163.com/song/media/outer/url?id=406475394.mp3"],
["Nothing's Gonna Change My Love For You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2080326.mp3","http://music.163.com/song/media/outer/url?id=2080326.mp3"],
["SpongeBob SquarePants Theme Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19207074.mp3","http://music.163.com/song/media/outer/url?id=19207074.mp3"],
["Till The World Ends (the Femme Fatale Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20515813.mp3","http://music.163.com/song/media/outer/url?id=20515813.mp3"],
["We Don't Talk Anymore（Cover Charlie Puth&Selena Gomez）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=410042104.mp3","http://music.163.com/song/media/outer/url?id=410042104.mp3"],
["Nervous (The Ooh Song) [Mark McCabe Remix]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421423756.mp3","http://music.163.com/song/media/outer/url?id=421423756.mp3"],
["Sunday Morning Birds (Singin' Hallelujah)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17950503.mp3","http://music.163.com/song/media/outer/url?id=17950503.mp3"],
["Mr.Curiosity (Album Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18611513.mp3","http://music.163.com/song/media/outer/url?id=18611513.mp3"],
["Rising Girl (Radio Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4164317.mp3","http://music.163.com/song/media/outer/url?id=4164317.mp3"],
["Beautiful In White (Demo)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2080139.mp3","http://music.163.com/song/media/outer/url?id=2080139.mp3"],
["All Of Me/Say Something","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36307219.mp3","http://music.163.com/song/media/outer/url?id=36307219.mp3"],
["Let's Start From Here","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25699082.mp3","http://music.163.com/song/media/outer/url?id=25699082.mp3"],
["More Than I Can Say","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1674192.mp3","http://music.163.com/song/media/outer/url?id=1674192.mp3"],
["Chasing All the Stars","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28133171.mp3","http://music.163.com/song/media/outer/url?id=28133171.mp3"],
["I Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25699081.mp3","http://music.163.com/song/media/outer/url?id=25699081.mp3"],
["My Love (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2081057.mp3","http://music.163.com/song/media/outer/url?id=2081057.mp3"],
["When I'm With You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707440.mp3","http://music.163.com/song/media/outer/url?id=20707440.mp3"],
["Moonlight Shadow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4083619.mp3","http://music.163.com/song/media/outer/url?id=4083619.mp3"],
["Thinking Out Loud","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28680438.mp3","http://music.163.com/song/media/outer/url?id=28680438.mp3"],
["Cross Every River","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3026485.mp3","http://music.163.com/song/media/outer/url?id=3026485.mp3"],
["I Just Wanna Run","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4386589.mp3","http://music.163.com/song/media/outer/url?id=4386589.mp3"],
["Let Me Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=420922950.mp3","http://music.163.com/song/media/outer/url?id=420922950.mp3"],
["Communication","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21948077.mp3","http://music.163.com/song/media/outer/url?id=21948077.mp3"],
["Because of You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16232697.mp3","http://music.163.com/song/media/outer/url?id=16232697.mp3"],
["I Wish You Well","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=481448341.mp3","http://music.163.com/song/media/outer/url?id=481448341.mp3"],
["Traveling Light","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1491585.mp3","http://music.163.com/song/media/outer/url?id=1491585.mp3"],
["Young For You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=356034.mp3","http://music.163.com/song/media/outer/url?id=356034.mp3"],
["Stuck On You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3027485.mp3","http://music.163.com/song/media/outer/url?id=3027485.mp3"],
["Closer To Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26508116.mp3","http://music.163.com/song/media/outer/url?id=26508116.mp3"],
["Shape of You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=451703096.mp3","http://music.163.com/song/media/outer/url?id=451703096.mp3"],
["Melody Lane","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3023863.mp3","http://music.163.com/song/media/outer/url?id=3023863.mp3"],
["Hall of Fame","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19542337.mp3","http://music.163.com/song/media/outer/url?id=19542337.mp3"],
["East of Eden","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29009655.mp3","http://music.163.com/song/media/outer/url?id=29009655.mp3"],
["Jar Of Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25713016.mp3","http://music.163.com/song/media/outer/url?id=25713016.mp3"],
["Run To You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3819499.mp3","http://music.163.com/song/media/outer/url?id=3819499.mp3"],
["Me and You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4160632.mp3","http://music.163.com/song/media/outer/url?id=4160632.mp3"],
["Let Her Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18161816.mp3","http://music.163.com/song/media/outer/url?id=18161816.mp3"],
["Poker Face","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21038748.mp3","http://music.163.com/song/media/outer/url?id=21038748.mp3"],
["Lost Stars","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28737747.mp3","http://music.163.com/song/media/outer/url?id=28737747.mp3"],
["Despacito","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=452613551.mp3","http://music.163.com/song/media/outer/url?id=452613551.mp3"],
["I Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1987888.mp3","http://music.163.com/song/media/outer/url?id=1987888.mp3"],
["Rather Be","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28095742.mp3","http://music.163.com/song/media/outer/url?id=28095742.mp3"],
["Girlfriend","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16432052.mp3","http://music.163.com/song/media/outer/url?id=16432052.mp3"],
["I'm Yours","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18611643.mp3","http://music.163.com/song/media/outer/url?id=18611643.mp3"],
["La La La","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26390073.mp3","http://music.163.com/song/media/outer/url?id=26390073.mp3"],
["Bubbly","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17081024.mp3","http://music.163.com/song/media/outer/url?id=17081024.mp3"],
["Angel","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19168459.mp3","http://music.163.com/song/media/outer/url?id=19168459.mp3"],
["Halo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2188235.mp3","http://music.163.com/song/media/outer/url?id=2188235.mp3"],
["River","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=440317256.mp3","http://music.163.com/song/media/outer/url?id=440317256.mp3"],
["Creep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33638527.mp3","http://music.163.com/song/media/outer/url?id=33638527.mp3"],
["Set Sail","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34834414.mp3","http://music.163.com/song/media/outer/url?id=34834414.mp3"],
["Let It Out","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34834413.mp3","http://music.163.com/song/media/outer/url?id=34834413.mp3"],
["Yesterday","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16574657.mp3","http://music.163.com/song/media/outer/url?id=16574657.mp3"],
["The Show","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16607998.mp3","http://music.163.com/song/media/outer/url?id=16607998.mp3"],
["Oh Father","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27506733.mp3","http://music.163.com/song/media/outer/url?id=27506733.mp3"],
["Walk Away","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2529311.mp3","http://music.163.com/song/media/outer/url?id=2529311.mp3"],
["Let Her Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27846862.mp3","http://music.163.com/song/media/outer/url?id=27846862.mp3"],
["La La Land","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=399410693.mp3","http://music.163.com/song/media/outer/url?id=399410693.mp3"],
["Better Man","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22463223.mp3","http://music.163.com/song/media/outer/url?id=22463223.mp3"],
["You And Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18449202.mp3","http://music.163.com/song/media/outer/url?id=18449202.mp3"],
["Think Again","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2872197.mp3","http://music.163.com/song/media/outer/url?id=2872197.mp3"],
["I Still Believe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21234075.mp3","http://music.163.com/song/media/outer/url?id=21234075.mp3"],
["Fuerteventura","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18680851.mp3","http://music.163.com/song/media/outer/url?id=18680851.mp3"],
["This Is the Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29732659.mp3","http://music.163.com/song/media/outer/url?id=29732659.mp3"],
["Teenage Dream","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22441762.mp3","http://music.163.com/song/media/outer/url?id=22441762.mp3"],
["Roses and Gold","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1933598.mp3","http://music.163.com/song/media/outer/url?id=1933598.mp3"],
["What Is A Youth ?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38358220.mp3","http://music.163.com/song/media/outer/url?id=38358220.mp3"],
["Moves Like Jagger","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253966.mp3","http://music.163.com/song/media/outer/url?id=21253966.mp3"],
["Seasons in the Sun","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707571.mp3","http://music.163.com/song/media/outer/url?id=20707571.mp3"],
["What Do You Mean?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34228719.mp3","http://music.163.com/song/media/outer/url?id=34228719.mp3"],
["Penguin's Game (English Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31356408.mp3","http://music.163.com/song/media/outer/url?id=31356408.mp3"],
["As Long As You Love Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1518938.mp3","http://music.163.com/song/media/outer/url?id=1518938.mp3"],
["Before You Break My Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1940312.mp3","http://music.163.com/song/media/outer/url?id=1940312.mp3"],
["Love The Way You Lie (Part II)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21563004.mp3","http://music.163.com/song/media/outer/url?id=21563004.mp3"],
["Somebody That I Used To Know","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17939827.mp3","http://music.163.com/song/media/outer/url?id=17939827.mp3"],
["Lose Yourself (Markino Faded Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=408332864.mp3","http://music.163.com/song/media/outer/url?id=408332864.mp3"],
["Never Had A Dream Come True","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21784955.mp3","http://music.163.com/song/media/outer/url?id=21784955.mp3"],
["Free Loop (Vocal Up Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17271180.mp3","http://music.163.com/song/media/outer/url?id=17271180.mp3"],
["Nothing Hurts Like This","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32069280.mp3","http://music.163.com/song/media/outer/url?id=32069280.mp3"],
["Time To Say Goodbye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3405842.mp3","http://music.163.com/song/media/outer/url?id=3405842.mp3"],
["I Could Be the One","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19724606.mp3","http://music.163.com/song/media/outer/url?id=19724606.mp3"],
["Cake by the Ocean","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35845278.mp3","http://music.163.com/song/media/outer/url?id=35845278.mp3"],
["Top Of The World","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3986342.mp3","http://music.163.com/song/media/outer/url?id=3986342.mp3"],
["If I Ain't Got You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16434100.mp3","http://music.163.com/song/media/outer/url?id=16434100.mp3"],
["Shining Friends","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=398460.mp3","http://music.163.com/song/media/outer/url?id=398460.mp3"],
["Better in Time","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5142101.mp3","http://music.163.com/song/media/outer/url?id=5142101.mp3"],
["I wanted you","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2772113.mp3","http://music.163.com/song/media/outer/url?id=2772113.mp3"],
["Sleep Alone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36539010.mp3","http://music.163.com/song/media/outer/url?id=36539010.mp3"],
["Sleepyhead","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27588470.mp3","http://music.163.com/song/media/outer/url?id=27588470.mp3"],
["Solo Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=439076364.mp3","http://music.163.com/song/media/outer/url?id=439076364.mp3"],
["Just A Kiss","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16686122.mp3","http://music.163.com/song/media/outer/url?id=16686122.mp3"],
["Apologize","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4224657.mp3","http://music.163.com/song/media/outer/url?id=4224657.mp3"],
["Until You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19081573.mp3","http://music.163.com/song/media/outer/url?id=19081573.mp3"],
["La La La","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28718249.mp3","http://music.163.com/song/media/outer/url?id=28718249.mp3"],
["Burning","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3026472.mp3","http://music.163.com/song/media/outer/url?id=3026472.mp3"],
["Nevada (feat. Cozi Zuehlsdorff)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418602088.mp3","http://music.163.com/song/media/outer/url?id=418602088.mp3"],
["Hello","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35847388.mp3","http://music.163.com/song/media/outer/url?id=35847388.mp3"],
["Mine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407450325.mp3","http://music.163.com/song/media/outer/url?id=407450325.mp3"],
["Try","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28639182.mp3","http://music.163.com/song/media/outer/url?id=28639182.mp3"],
["Bila","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28613576.mp3","http://music.163.com/song/media/outer/url?id=28613576.mp3"],
["A Hat","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18680857.mp3","http://music.163.com/song/media/outer/url?id=18680857.mp3"],
["Sorry","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35847559.mp3","http://music.163.com/song/media/outer/url?id=35847559.mp3"],
["My All","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3028261.mp3","http://music.163.com/song/media/outer/url?id=3028261.mp3"],
["La la la","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16149488.mp3","http://music.163.com/song/media/outer/url?id=16149488.mp3"],
["Say Hello","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18449193.mp3","http://music.163.com/song/media/outer/url?id=18449193.mp3"],
["Oceanside","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3023862.mp3","http://music.163.com/song/media/outer/url?id=3023862.mp3"],
["For You Now","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28699904.mp3","http://music.163.com/song/media/outer/url?id=28699904.mp3"],
["Valder Fields","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2001320.mp3","http://music.163.com/song/media/outer/url?id=2001320.mp3"],
["See You Again","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30953009.mp3","http://music.163.com/song/media/outer/url?id=30953009.mp3"],
["Dying In the Sun","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4330223.mp3","http://music.163.com/song/media/outer/url?id=4330223.mp3"],
["How You Remind Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27937702.mp3","http://music.163.com/song/media/outer/url?id=27937702.mp3"],
["Yesterday Once More","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3986241.mp3","http://music.163.com/song/media/outer/url?id=3986241.mp3"],
["City Of Stars (From \"La La Land\" Soundtrack)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=441612583.mp3","http://music.163.com/song/media/outer/url?id=441612583.mp3"],
["Can't Take My Eyes Off You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=989371.mp3","http://music.163.com/song/media/outer/url?id=989371.mp3"],
["Love You Like A Love Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28138229.mp3","http://music.163.com/song/media/outer/url?id=28138229.mp3"],
["Love Me Like You Do","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29966565.mp3","http://music.163.com/song/media/outer/url?id=29966565.mp3"],
["Me and My Broken Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28308080.mp3","http://music.163.com/song/media/outer/url?id=28308080.mp3"],
["Take Me To Your Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4173190.mp3","http://music.163.com/song/media/outer/url?id=4173190.mp3"],
["Far Away From Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4083399.mp3","http://music.163.com/song/media/outer/url?id=4083399.mp3"],
["Could This Be Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3801865.mp3","http://music.163.com/song/media/outer/url?id=3801865.mp3"],
["Right Here Waiting","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3313653.mp3","http://music.163.com/song/media/outer/url?id=3313653.mp3"],
["Scarborough Fair","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3405868.mp3","http://music.163.com/song/media/outer/url?id=3405868.mp3"],
["You're Beautiful","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5179544.mp3","http://music.163.com/song/media/outer/url?id=5179544.mp3"],
["i hate u, i love u","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34229234.mp3","http://music.163.com/song/media/outer/url?id=34229234.mp3"],
["Big Big World","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2534006.mp3","http://music.163.com/song/media/outer/url?id=2534006.mp3"],
["Love Yourself","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36496695.mp3","http://music.163.com/song/media/outer/url?id=36496695.mp3"],
["Almost Lover","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16426514.mp3","http://music.163.com/song/media/outer/url?id=16426514.mp3"],
["Stay With Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28531849.mp3","http://music.163.com/song/media/outer/url?id=28531849.mp3"],
["God Is a Girl","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18098592.mp3","http://music.163.com/song/media/outer/url?id=18098592.mp3"],
["Pretty Boy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5134011.mp3","http://music.163.com/song/media/outer/url?id=5134011.mp3"],
["One Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22494912.mp3","http://music.163.com/song/media/outer/url?id=22494912.mp3"],
["All Rise","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5162502.mp3","http://music.163.com/song/media/outer/url?id=5162502.mp3"],
["Maps","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28661564.mp3","http://music.163.com/song/media/outer/url?id=28661564.mp3"],
["I Do","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28256115.mp3","http://music.163.com/song/media/outer/url?id=28256115.mp3"],
["If","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3955689.mp3","http://music.163.com/song/media/outer/url?id=3955689.mp3"],
["Shy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29950374.mp3","http://music.163.com/song/media/outer/url?id=29950374.mp3"],
["Hero","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3027393.mp3","http://music.163.com/song/media/outer/url?id=3027393.mp3"],
["Faded","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36990266.mp3","http://music.163.com/song/media/outer/url?id=36990266.mp3"],
["Tuesday","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22281622.mp3","http://music.163.com/song/media/outer/url?id=22281622.mp3"],
["Symphony","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=466126510.mp3","http://music.163.com/song/media/outer/url?id=466126510.mp3"],
["Look At Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5043107.mp3","http://music.163.com/song/media/outer/url?id=5043107.mp3"],
["Trouble I'm In","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29797698.mp3","http://music.163.com/song/media/outer/url?id=29797698.mp3"],
["Baby's Romance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1141607.mp3","http://music.163.com/song/media/outer/url?id=1141607.mp3"],
["Lark In The Clear Air","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17110579.mp3","http://music.163.com/song/media/outer/url?id=17110579.mp3"],
["The Day You Went Away","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3026369.mp3","http://music.163.com/song/media/outer/url?id=3026369.mp3"],
["Way Back Into Love (Demo)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5046367.mp3","http://music.163.com/song/media/outer/url?id=5046367.mp3"],
["Immortals (End Credit Version) [\"From \"Big Hero 6”]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29535483.mp3","http://music.163.com/song/media/outer/url?id=29535483.mp3"],
["Love To Be Loved By You (The Wedding Song)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21116721.mp3","http://music.163.com/song/media/outer/url?id=21116721.mp3"],
["Can You Feel The Love Tonight","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5057950.mp3","http://music.163.com/song/media/outer/url?id=5057950.mp3"],
["Dragostea Din Tei (Original Romanian Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4346391.mp3","http://music.163.com/song/media/outer/url?id=4346391.mp3"],
["As Long as You Love Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950792.mp3","http://music.163.com/song/media/outer/url?id=3950792.mp3"],
["The End of the World","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3413782.mp3","http://music.163.com/song/media/outer/url?id=3413782.mp3"],
["You Can Trust In Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28493991.mp3","http://music.163.com/song/media/outer/url?id=28493991.mp3"],
["Greatest Love Of All","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3818875.mp3","http://music.163.com/song/media/outer/url?id=3818875.mp3"],
["Trouble Is A Friend","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16607987.mp3","http://music.163.com/song/media/outer/url?id=16607987.mp3"],
["Someone Like You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16435049.mp3","http://music.163.com/song/media/outer/url?id=16435049.mp3"],
["You Belong To Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5053289.mp3","http://music.163.com/song/media/outer/url?id=5053289.mp3"],
["We Will Rock You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1869271.mp3","http://music.163.com/song/media/outer/url?id=1869271.mp3"],
["You Raise Me Up","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5180965.mp3","http://music.163.com/song/media/outer/url?id=5180965.mp3"],
["Gotta Have You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19572271.mp3","http://music.163.com/song/media/outer/url?id=19572271.mp3"],
["Glad You Came","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19567986.mp3","http://music.163.com/song/media/outer/url?id=19567986.mp3"],
["I Have Nothing","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3819488.mp3","http://music.163.com/song/media/outer/url?id=3819488.mp3"],
["I Look To You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19827175.mp3","http://music.163.com/song/media/outer/url?id=19827175.mp3"],
["Roll The Dice","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27890393.mp3","http://music.163.com/song/media/outer/url?id=27890393.mp3"],
["Summertrain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17996972.mp3","http://music.163.com/song/media/outer/url?id=17996972.mp3"],
["Marvin Gaye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30590170.mp3","http://music.163.com/song/media/outer/url?id=30590170.mp3"],
["Lemon Tree","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27180681.mp3","http://music.163.com/song/media/outer/url?id=27180681.mp3"],
["Mad World","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3923697.mp3","http://music.163.com/song/media/outer/url?id=3923697.mp3"],
["Telephone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2923152.mp3","http://music.163.com/song/media/outer/url?id=2923152.mp3"],
["The Rose","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38358214.mp3","http://music.163.com/song/media/outer/url?id=38358214.mp3"],
["Centuries","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29307038.mp3","http://music.163.com/song/media/outer/url?id=29307038.mp3"],
["Price Tag","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18794244.mp3","http://music.163.com/song/media/outer/url?id=18794244.mp3"],
["Stitches","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31090820.mp3","http://music.163.com/song/media/outer/url?id=31090820.mp3"],
["Vincent","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25699064.mp3","http://music.163.com/song/media/outer/url?id=25699064.mp3"],
["Selfish","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=464192841.mp3","http://music.163.com/song/media/outer/url?id=464192841.mp3"],
["Lonely","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21274655.mp3","http://music.163.com/song/media/outer/url?id=21274655.mp3"],
["Stand","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18836873.mp3","http://music.163.com/song/media/outer/url?id=18836873.mp3"],
["Roar","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27566922.mp3","http://music.163.com/song/media/outer/url?id=27566922.mp3"],
["Try","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5041667.mp3","http://music.163.com/song/media/outer/url?id=5041667.mp3"],
["Five Hundred Miles","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27759600.mp3","http://music.163.com/song/media/outer/url?id=27759600.mp3"],
["New York","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26270153.mp3","http://music.163.com/song/media/outer/url?id=26270153.mp3"],
["Missing You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1089382.mp3","http://music.163.com/song/media/outer/url?id=1089382.mp3"],
["Negative Things","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1940926.mp3","http://music.163.com/song/media/outer/url?id=1940926.mp3"],
["Fall In Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1884993.mp3","http://music.163.com/song/media/outer/url?id=1884993.mp3"],
["Don't Think Twice","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28457830.mp3","http://music.163.com/song/media/outer/url?id=28457830.mp3"],
["All I Have Is Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1940368.mp3","http://music.163.com/song/media/outer/url?id=1940368.mp3"],
["What Are Words","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1210461.mp3","http://music.163.com/song/media/outer/url?id=1210461.mp3"],
["Because You Live","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1475997.mp3","http://music.163.com/song/media/outer/url?id=1475997.mp3"],
["Before You Break My Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1940312.mp3","http://music.163.com/song/media/outer/url?id=1940312.mp3"],
["Everywhere I Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18973361.mp3","http://music.163.com/song/media/outer/url?id=18973361.mp3"],
["Stuttering","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17783969.mp3","http://music.163.com/song/media/outer/url?id=17783969.mp3"],
["So Incredible","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3932668.mp3","http://music.163.com/song/media/outer/url?id=3932668.mp3"],
["Road Trip","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1217558.mp3","http://music.163.com/song/media/outer/url?id=1217558.mp3"],
["Don't Love You No More (I'm Sorry)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1141940.mp3","http://music.163.com/song/media/outer/url?id=1141940.mp3"],
["If I Die Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19561011.mp3","http://music.163.com/song/media/outer/url?id=19561011.mp3"],
["Battle Symphony","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460043748.mp3","http://music.163.com/song/media/outer/url?id=460043748.mp3"],
["I Just Wanna Run","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4386589.mp3","http://music.163.com/song/media/outer/url?id=4386589.mp3"],
["Maps","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28661564.mp3","http://music.163.com/song/media/outer/url?id=28661564.mp3"],
["What Makes You Beautiful","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17753288.mp3","http://music.163.com/song/media/outer/url?id=17753288.mp3"],
["Me and My Broken Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28308080.mp3","http://music.163.com/song/media/outer/url?id=28308080.mp3"],
["Demons","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19945735.mp3","http://music.163.com/song/media/outer/url?id=19945735.mp3"],
["Counting Stars","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26060065.mp3","http://music.163.com/song/media/outer/url?id=26060065.mp3"],
["Something Just Like This","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461347998.mp3","http://music.163.com/song/media/outer/url?id=461347998.mp3"],
["Don't Wanna Know","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434974661.mp3","http://music.163.com/song/media/outer/url?id=434974661.mp3"],
["Shots (Broiler Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31789010.mp3","http://music.163.com/song/media/outer/url?id=31789010.mp3"],
["My Songs Know What You Did In The Dark (Light Em Up)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26468286.mp3","http://music.163.com/song/media/outer/url?id=26468286.mp3"],
["Stranger Things (Alan Walker Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=536243886.mp3","http://music.163.com/song/media/outer/url?id=536243886.mp3"],
["Hymn For The Weekend [Remix]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=419594258.mp3","http://music.163.com/song/media/outer/url?id=419594258.mp3"],
["Heavy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460043750.mp3","http://music.163.com/song/media/outer/url?id=460043750.mp3"],
["Payphone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4172700.mp3","http://music.163.com/song/media/outer/url?id=4172700.mp3"],
["Perfect","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35539156.mp3","http://music.163.com/song/media/outer/url?id=35539156.mp3"],
["The One","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=468490178.mp3","http://music.163.com/song/media/outer/url?id=468490178.mp3"],
["Starboy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=431610014.mp3","http://music.163.com/song/media/outer/url?id=431610014.mp3"],
["Apologize","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4224657.mp3","http://music.163.com/song/media/outer/url?id=4224657.mp3"],
["Whatever It Takes","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477320018.mp3","http://music.163.com/song/media/outer/url?id=477320018.mp3"],
["Viva La Vida","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3986017.mp3","http://music.163.com/song/media/outer/url?id=3986017.mp3"],
["Renegades","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31789002.mp3","http://music.163.com/song/media/outer/url?id=31789002.mp3"],
["Hey, Soul Sister","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21803920.mp3","http://music.163.com/song/media/outer/url?id=21803920.mp3"],
["Best of 2012: Payphone/Call Me Maybe/Wide Awake/Starship/We Are Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33418570.mp3","http://music.163.com/song/media/outer/url?id=33418570.mp3"],
["Champion","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474932898.mp3","http://music.163.com/song/media/outer/url?id=474932898.mp3"],
["Can We Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27804329.mp3","http://music.163.com/song/media/outer/url?id=27804329.mp3"],
["Secrets","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20200923.mp3","http://music.163.com/song/media/outer/url?id=20200923.mp3"],
["Everglow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=37239018.mp3","http://music.163.com/song/media/outer/url?id=37239018.mp3"],
["Battles and Wastelands","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21301195.mp3","http://music.163.com/song/media/outer/url?id=21301195.mp3"],
["Locked Away","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32897025.mp3","http://music.163.com/song/media/outer/url?id=32897025.mp3"],
["We All Want the Same Thing","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28308078.mp3","http://music.163.com/song/media/outer/url?id=28308078.mp3"],
["Glad You Came","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19567986.mp3","http://music.163.com/song/media/outer/url?id=19567986.mp3"],
["Carry You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26391022.mp3","http://music.163.com/song/media/outer/url?id=26391022.mp3"],
["Wherever I Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=412902104.mp3","http://music.163.com/song/media/outer/url?id=412902104.mp3"],
["The Phoenix","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26199445.mp3","http://music.163.com/song/media/outer/url?id=26199445.mp3"],
["Best Day Of My Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27646851.mp3","http://music.163.com/song/media/outer/url?id=27646851.mp3"],
["A Sky Full of Stars","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28528999.mp3","http://music.163.com/song/media/outer/url?id=28528999.mp3"],
["Love You Like the Movies","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29498914.mp3","http://music.163.com/song/media/outer/url?id=29498914.mp3"],
["Sugar","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29019227.mp3","http://music.163.com/song/media/outer/url?id=29019227.mp3"],
["Up&Up (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409931456.mp3","http://music.163.com/song/media/outer/url?id=409931456.mp3"],
["Tired","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=479219347.mp3","http://music.163.com/song/media/outer/url?id=479219347.mp3"],
["Am I Wrong (Win & Woo Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35331935.mp3","http://music.163.com/song/media/outer/url?id=35331935.mp3"],
["Don't Let Me Down (Illenium Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=405599648.mp3","http://music.163.com/song/media/outer/url?id=405599648.mp3"],
["Kids","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425298068.mp3","http://music.163.com/song/media/outer/url?id=425298068.mp3"],
["Radioactive","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19945726.mp3","http://music.163.com/song/media/outer/url?id=19945726.mp3"],
["Centuries","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29307038.mp3","http://music.163.com/song/media/outer/url?id=29307038.mp3"],
["Hall of Fame","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19542337.mp3","http://music.163.com/song/media/outer/url?id=19542337.mp3"],
["Pillow talk","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723074.mp3","http://music.163.com/song/media/outer/url?id=29723074.mp3"],
["Boston","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3879945.mp3","http://music.163.com/song/media/outer/url?id=3879945.mp3"],
["Nervous (The Ooh Song) [Mark McCabe Remix]","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=421423756.mp3","http://music.163.com/song/media/outer/url?id=421423756.mp3"],
["Help Me Out","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509781585.mp3","http://music.163.com/song/media/outer/url?id=509781585.mp3"],
["Cake By The Ocean","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34722449.mp3","http://music.163.com/song/media/outer/url?id=34722449.mp3"],
["Heathens","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417911175.mp3","http://music.163.com/song/media/outer/url?id=417911175.mp3"],
["Cold","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460039019.mp3","http://music.163.com/song/media/outer/url?id=460039019.mp3"],
["Thunder","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474932841.mp3","http://music.163.com/song/media/outer/url?id=474932841.mp3"],
["Rich Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=490381113.mp3","http://music.163.com/song/media/outer/url?id=490381113.mp3"],
["Closer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=423228325.mp3","http://music.163.com/song/media/outer/url?id=423228325.mp3"],
["There For You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=480426313.mp3","http://music.163.com/song/media/outer/url?id=480426313.mp3"],
["Unbelievable","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32835004.mp3","http://music.163.com/song/media/outer/url?id=32835004.mp3"],
["Patience","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19567465.mp3","http://music.163.com/song/media/outer/url?id=19567465.mp3"],
["A Head Full Of Dreams","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=37240628.mp3","http://music.163.com/song/media/outer/url?id=37240628.mp3"],
["Wait","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=533367211.mp3","http://music.163.com/song/media/outer/url?id=533367211.mp3"],
["Lose Yourself (Markino Faded Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=408332864.mp3","http://music.163.com/song/media/outer/url?id=408332864.mp3"],
["Stereo Hearts","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17956427.mp3","http://music.163.com/song/media/outer/url?id=17956427.mp3"],
["Bikini Body","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424155394.mp3","http://music.163.com/song/media/outer/url?id=424155394.mp3"],
["I'm the One","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475207448.mp3","http://music.163.com/song/media/outer/url?id=475207448.mp3"],
["Connection","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574922126.mp3","http://music.163.com/song/media/outer/url?id=574922126.mp3"],
["Heart Like California","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28828120.mp3","http://music.163.com/song/media/outer/url?id=28828120.mp3"],
["Tonight Tonight","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4109336.mp3","http://music.163.com/song/media/outer/url?id=4109336.mp3"],
["Night Changes","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29719175.mp3","http://music.163.com/song/media/outer/url?id=29719175.mp3"],
["See You Again","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30953009.mp3","http://music.163.com/song/media/outer/url?id=30953009.mp3"],
["You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4071236.mp3","http://music.163.com/song/media/outer/url?id=4071236.mp3"],
["Let Her Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18161816.mp3","http://music.163.com/song/media/outer/url?id=18161816.mp3"],
["Romeo's Tune","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17950509.mp3","http://music.163.com/song/media/outer/url?id=17950509.mp3"],
["Say Something","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28208046.mp3","http://music.163.com/song/media/outer/url?id=28208046.mp3"],
["Taylor Swift Mash-Up","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27984285.mp3","http://music.163.com/song/media/outer/url?id=27984285.mp3"],
["Shine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32102384.mp3","http://music.163.com/song/media/outer/url?id=32102384.mp3"],
["Won't Go Home Without You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253900.mp3","http://music.163.com/song/media/outer/url?id=21253900.mp3"],
["All the Others","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31967275.mp3","http://music.163.com/song/media/outer/url?id=31967275.mp3"],
["Young And Menace","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474932897.mp3","http://music.163.com/song/media/outer/url?id=474932897.mp3"],
["Future Looks Good","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=429261713.mp3","http://music.163.com/song/media/outer/url?id=429261713.mp3"],
["Up&Up (Freedo Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430208539.mp3","http://music.163.com/song/media/outer/url?id=430208539.mp3"],
["I Wanna Know","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=408332721.mp3","http://music.163.com/song/media/outer/url?id=408332721.mp3"],
["Slow Dance Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26349695.mp3","http://music.163.com/song/media/outer/url?id=26349695.mp3"],
["Play That Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432916435.mp3","http://music.163.com/song/media/outer/url?id=432916435.mp3"],
["Rude","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28524618.mp3","http://music.163.com/song/media/outer/url?id=28524618.mp3"],
["Lighters","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1297483.mp3","http://music.163.com/song/media/outer/url?id=1297483.mp3"],
["Don't You Worry Child","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27918303.mp3","http://music.163.com/song/media/outer/url?id=27918303.mp3"],
["What Are You Waiting For?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29307037.mp3","http://music.163.com/song/media/outer/url?id=29307037.mp3"],
["Shut up and Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29382788.mp3","http://music.163.com/song/media/outer/url?id=29382788.mp3"],
["I Choose U","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27911432.mp3","http://music.163.com/song/media/outer/url?id=27911432.mp3"],
["Midnight City","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16957780.mp3","http://music.163.com/song/media/outer/url?id=16957780.mp3"],
["No Vacancy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=474932921.mp3","http://music.163.com/song/media/outer/url?id=474932921.mp3"],
["Grapevine Valentine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29556039.mp3","http://music.163.com/song/media/outer/url?id=29556039.mp3"],
["Adventure of a Lifetime","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36308623.mp3","http://music.163.com/song/media/outer/url?id=36308623.mp3"],
["Thrift Shop","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25677802.mp3","http://music.163.com/song/media/outer/url?id=25677802.mp3"],
["I Found A Girl","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=408212849.mp3","http://music.163.com/song/media/outer/url?id=408212849.mp3"],
["Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=35848311.mp3","http://music.163.com/song/media/outer/url?id=35848311.mp3"],
["Wisdom","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4344799.mp3","http://music.163.com/song/media/outer/url?id=4344799.mp3"],
["Snow (Hey Oh)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1869719.mp3","http://music.163.com/song/media/outer/url?id=1869719.mp3"],
["Because Of You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4443912.mp3","http://music.163.com/song/media/outer/url?id=4443912.mp3"],
["H.O.L.Y.","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411314536.mp3","http://music.163.com/song/media/outer/url?id=411314536.mp3"],
["Hypnotised","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=463014554.mp3","http://music.163.com/song/media/outer/url?id=463014554.mp3"],
["Truly Madly Deeply","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3404727.mp3","http://music.163.com/song/media/outer/url?id=3404727.mp3"],
["Sailboats","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19182328.mp3","http://music.163.com/song/media/outer/url?id=19182328.mp3"],
["I Really Like You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32574252.mp3","http://music.163.com/song/media/outer/url?id=32574252.mp3"],
["Some Nights","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25703072.mp3","http://music.163.com/song/media/outer/url?id=25703072.mp3"],
["Wherever You Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26233523.mp3","http://music.163.com/song/media/outer/url?id=26233523.mp3"],
["One Day (Album Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27506983.mp3","http://music.163.com/song/media/outer/url?id=27506983.mp3"],
["Fashion","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34144578.mp3","http://music.163.com/song/media/outer/url?id=34144578.mp3"],
["Ride","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31967200.mp3","http://music.163.com/song/media/outer/url?id=31967200.mp3"],
["You Don't Know Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=399354184.mp3","http://music.163.com/song/media/outer/url?id=399354184.mp3"],
["Lay It All On Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34852287.mp3","http://music.163.com/song/media/outer/url?id=34852287.mp3"],
["Beautiful Now","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32019002.mp3","http://music.163.com/song/media/outer/url?id=32019002.mp3"],
["All We Know","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=432698441.mp3","http://music.163.com/song/media/outer/url?id=432698441.mp3"],
["I Feel It Coming","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=441491167.mp3","http://music.163.com/song/media/outer/url?id=441491167.mp3"],
["Hymn For The Weekend","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=37240629.mp3","http://music.163.com/song/media/outer/url?id=37240629.mp3"],
["Not Today","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=411349430.mp3","http://music.163.com/song/media/outer/url?id=411349430.mp3"],
["I'm Sorry","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1700331.mp3","http://music.163.com/song/media/outer/url?id=1700331.mp3"],
["Sitting Here In Silence (On My Own)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17822810.mp3","http://music.163.com/song/media/outer/url?id=17822810.mp3"],
["I Gave It All","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722689.mp3","http://music.163.com/song/media/outer/url?id=29722689.mp3"],
["Oceans Deep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25964510.mp3","http://music.163.com/song/media/outer/url?id=25964510.mp3"],
["Pedalo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19497991.mp3","http://music.163.com/song/media/outer/url?id=19497991.mp3"],
["I Was Wrong","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26484751.mp3","http://music.163.com/song/media/outer/url?id=26484751.mp3"],
["90","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31997127.mp3","http://music.163.com/song/media/outer/url?id=31997127.mp3"],
["7 Years","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=405599119.mp3","http://music.163.com/song/media/outer/url?id=405599119.mp3"],
["Count On You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3973874.mp3","http://music.163.com/song/media/outer/url?id=3973874.mp3"],
["She Looks So Perfect (Mikey Demo Vocal)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28306077.mp3","http://music.163.com/song/media/outer/url?id=28306077.mp3"],
["Good Day","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28493605.mp3","http://music.163.com/song/media/outer/url?id=28493605.mp3"],
["Moves Like Jagger","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253966.mp3","http://music.163.com/song/media/outer/url?id=21253966.mp3"],
["Love In A Box","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4380582.mp3","http://music.163.com/song/media/outer/url?id=4380582.mp3"],
["Meteorite","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=429769820.mp3","http://music.163.com/song/media/outer/url?id=429769820.mp3"],
["One Republic Mash-Up","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28681438.mp3","http://music.163.com/song/media/outer/url?id=28681438.mp3"],
["All Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434981518.mp3","http://music.163.com/song/media/outer/url?id=434981518.mp3"],
["Special","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29747956.mp3","http://music.163.com/song/media/outer/url?id=29747956.mp3"],
["Dragostea Din Tei (Original Romanian Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4346391.mp3","http://music.163.com/song/media/outer/url?id=4346391.mp3"],
["The Fox","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27706564.mp3","http://music.163.com/song/media/outer/url?id=27706564.mp3"],
["Harder Better Faster Stronger","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17455854.mp3","http://music.163.com/song/media/outer/url?id=17455854.mp3"],
["When We Come Alive","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28193142.mp3","http://music.163.com/song/media/outer/url?id=28193142.mp3"],
["Sketch Plane","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1212320.mp3","http://music.163.com/song/media/outer/url?id=1212320.mp3"],
["Remember The Name","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1345018.mp3","http://music.163.com/song/media/outer/url?id=1345018.mp3"],
["New Divide","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16686610.mp3","http://music.163.com/song/media/outer/url?id=16686610.mp3"],
["21 Guns","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18127640.mp3","http://music.163.com/song/media/outer/url?id=18127640.mp3"],
["Disenchanted","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21162705.mp3","http://music.163.com/song/media/outer/url?id=21162705.mp3"],
["Superheroes","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28832241.mp3","http://music.163.com/song/media/outer/url?id=28832241.mp3"],
["Roots","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34218561.mp3","http://music.163.com/song/media/outer/url?id=34218561.mp3"],
["Juliet","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1651133.mp3","http://music.163.com/song/media/outer/url?id=1651133.mp3"],
["Alone Together","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26199447.mp3","http://music.163.com/song/media/outer/url?id=26199447.mp3"],
["Miss Jackson","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26830457.mp3","http://music.163.com/song/media/outer/url?id=26830457.mp3"],
["Jailbreak","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30967498.mp3","http://music.163.com/song/media/outer/url?id=30967498.mp3"],
["U Make Me Wanna","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16858400.mp3","http://music.163.com/song/media/outer/url?id=16858400.mp3"],
["Sucker For Pain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=418550479.mp3","http://music.163.com/song/media/outer/url?id=418550479.mp3"],
["Somewhere Only We Know","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19047042.mp3","http://music.163.com/song/media/outer/url?id=19047042.mp3"],
["Boulevard Of Broken Dreams","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5159464.mp3","http://music.163.com/song/media/outer/url?id=5159464.mp3"],
["In the End","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27037491.mp3","http://music.163.com/song/media/outer/url?id=27037491.mp3"],
["I Just Wanna Live","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18085936.mp3","http://music.163.com/song/media/outer/url?id=18085936.mp3"],
["Just Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3798324.mp3","http://music.163.com/song/media/outer/url?id=3798324.mp3"],
["Come As You Are","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21303927.mp3","http://music.163.com/song/media/outer/url?id=21303927.mp3"],
["On My Own","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16483438.mp3","http://music.163.com/song/media/outer/url?id=16483438.mp3"],
["Supermassive Black Hole","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5042914.mp3","http://music.163.com/song/media/outer/url?id=5042914.mp3"],
["Everybody Knows I Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4152989.mp3","http://music.163.com/song/media/outer/url?id=4152989.mp3"],
["Take Me As I Am","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22370818.mp3","http://music.163.com/song/media/outer/url?id=22370818.mp3"],
["Hero","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17863892.mp3","http://music.163.com/song/media/outer/url?id=17863892.mp3"],
["Turnin'","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28859948.mp3","http://music.163.com/song/media/outer/url?id=28859948.mp3"],
["Ship In The Sand","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26511658.mp3","http://music.163.com/song/media/outer/url?id=26511658.mp3"],
["Cold November","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21301196.mp3","http://music.163.com/song/media/outer/url?id=21301196.mp3"],
["I Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1987888.mp3","http://music.163.com/song/media/outer/url?id=1987888.mp3"],
["I Do","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28256115.mp3","http://music.163.com/song/media/outer/url?id=28256115.mp3"],
["Wake Me Up When September Ends","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18127334.mp3","http://music.163.com/song/media/outer/url?id=18127334.mp3"],
["Where Is the Love?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5190225.mp3","http://music.163.com/song/media/outer/url?id=5190225.mp3"],
["Nobody Compares","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26608504.mp3","http://music.163.com/song/media/outer/url?id=26608504.mp3"],
["Run & Hide","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26349700.mp3","http://music.163.com/song/media/outer/url?id=26349700.mp3"],
["Lay You Down Easy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407835246.mp3","http://music.163.com/song/media/outer/url?id=407835246.mp3"],
["Good Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20200911.mp3","http://music.163.com/song/media/outer/url?id=20200911.mp3"],
["Don't Look Back in Anger","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4226232.mp3","http://music.163.com/song/media/outer/url?id=4226232.mp3"],
["What I've Done","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5045762.mp3","http://music.163.com/song/media/outer/url?id=5045762.mp3"],
["One More Night (LVLF Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253958.mp3","http://music.163.com/song/media/outer/url?id=21253958.mp3"],
["We Are Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26069686.mp3","http://music.163.com/song/media/outer/url?id=26069686.mp3"],
["Paris","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=453185808.mp3","http://music.163.com/song/media/outer/url?id=453185808.mp3"],
["Long, Long Way To Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2416600.mp3","http://music.163.com/song/media/outer/url?id=2416600.mp3"],
["I Knew I Loved You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3404715.mp3","http://music.163.com/song/media/outer/url?id=3404715.mp3"],
["Lemon Tree","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27180681.mp3","http://music.163.com/song/media/outer/url?id=27180681.mp3"],
["Rhythm of the Rain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4370918.mp3","http://music.163.com/song/media/outer/url?id=4370918.mp3"],
["Billionaire","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=24300515.mp3","http://music.163.com/song/media/outer/url?id=24300515.mp3"],
["Smile","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34144577.mp3","http://music.163.com/song/media/outer/url?id=34144577.mp3"],
["Stressed Out","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31654490.mp3","http://music.163.com/song/media/outer/url?id=31654490.mp3"],
["Believer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455311479.mp3","http://music.163.com/song/media/outer/url?id=455311479.mp3"],
["The Longest Wave","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417250652.mp3","http://music.163.com/song/media/outer/url?id=417250652.mp3"],
["Dancehall","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26393865.mp3","http://music.163.com/song/media/outer/url?id=26393865.mp3"],
["Infinity","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34880033.mp3","http://music.163.com/song/media/outer/url?id=34880033.mp3"],
["The Saltwater Room","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1807865.mp3","http://music.163.com/song/media/outer/url?id=1807865.mp3"],
["Pompeii","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28018012.mp3","http://music.163.com/song/media/outer/url?id=28018012.mp3"],
["Sorry","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18843242.mp3","http://music.163.com/song/media/outer/url?id=18843242.mp3"],
["Animals","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28987626.mp3","http://music.163.com/song/media/outer/url?id=28987626.mp3"],
["Wait On Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28837031.mp3","http://music.163.com/song/media/outer/url?id=28837031.mp3"],
["Bang Bang","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=425298088.mp3","http://music.163.com/song/media/outer/url?id=425298088.mp3"],
["If Everyone Cared","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21266964.mp3","http://music.163.com/song/media/outer/url?id=21266964.mp3"],
["Don't Cry (Original)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18094989.mp3","http://music.163.com/song/media/outer/url?id=18094989.mp3"],
["Irresistible","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29932100.mp3","http://music.163.com/song/media/outer/url?id=29932100.mp3"],
["Numb","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4153366.mp3","http://music.163.com/song/media/outer/url?id=4153366.mp3"],
["Good Time","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17706562.mp3","http://music.163.com/song/media/outer/url?id=17706562.mp3"],
["Bye Bye Bye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3164308.mp3","http://music.163.com/song/media/outer/url?id=3164308.mp3"],
["One Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16858394.mp3","http://music.163.com/song/media/outer/url?id=16858394.mp3"],
["Enough To Let Me Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19187870.mp3","http://music.163.com/song/media/outer/url?id=19187870.mp3"],
["Stop and Stare","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20200829.mp3","http://music.163.com/song/media/outer/url?id=20200829.mp3"],
["Good Goodbye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=460043746.mp3","http://music.163.com/song/media/outer/url?id=460043746.mp3"],
["Paradise","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17177380.mp3","http://music.163.com/song/media/outer/url?id=17177380.mp3"],
["Levitate","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=443882831.mp3","http://music.163.com/song/media/outer/url?id=443882831.mp3"],
["She's Kinda Hot","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33252624.mp3","http://music.163.com/song/media/outer/url?id=33252624.mp3"],
["Still Waiting","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4278394.mp3","http://music.163.com/song/media/outer/url?id=4278394.mp3"],
["Every Breath You Take","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19553535.mp3","http://music.163.com/song/media/outer/url?id=19553535.mp3"],
["This Summer's Gonna Hurt Like a Mother****er (Explicit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32102070.mp3","http://music.163.com/song/media/outer/url?id=32102070.mp3"],
["All The Right Moves","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4224557.mp3","http://music.163.com/song/media/outer/url?id=4224557.mp3"],
["Angel With a Shotgun","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19291941.mp3","http://music.163.com/song/media/outer/url?id=19291941.mp3"],
["Better Than One","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31446780.mp3","http://music.163.com/song/media/outer/url?id=31446780.mp3"],
["King","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30474546.mp3","http://music.163.com/song/media/outer/url?id=30474546.mp3"],
["Roads","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30967763.mp3","http://music.163.com/song/media/outer/url?id=30967763.mp3"],
["Best of 2015: Style / What Do You Mean / Uptown Funk / Love Me Like You Do / Watch Me / See You Again","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=403012359.mp3","http://music.163.com/song/media/outer/url?id=403012359.mp3"],
["Can't Complain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26492802.mp3","http://music.163.com/song/media/outer/url?id=26492802.mp3"],
["First Time Feeling","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28378025.mp3","http://music.163.com/song/media/outer/url?id=28378025.mp3"],
["Yellow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17177324.mp3","http://music.163.com/song/media/outer/url?id=17177324.mp3"],
["You’re Not Alone","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29460504.mp3","http://music.163.com/song/media/outer/url?id=29460504.mp3"],
["Only Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2006865.mp3","http://music.163.com/song/media/outer/url?id=2006865.mp3"],
["Stolen Dance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28392783.mp3","http://music.163.com/song/media/outer/url?id=28392783.mp3"],
["I Gotta Feeling","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949384.mp3","http://music.163.com/song/media/outer/url?id=3949384.mp3"],
["Roses","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32639368.mp3","http://music.163.com/song/media/outer/url?id=32639368.mp3"],
["Drunk On Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27907557.mp3","http://music.163.com/song/media/outer/url?id=27907557.mp3"],
["Warriors","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29401226.mp3","http://music.163.com/song/media/outer/url?id=29401226.mp3"],
["Faint","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4153386.mp3","http://music.163.com/song/media/outer/url?id=4153386.mp3"],
["Intro: The Dawn","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4017240.mp3","http://music.163.com/song/media/outer/url?id=4017240.mp3"],
["Intro","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4341314.mp3","http://music.163.com/song/media/outer/url?id=4341314.mp3"],
["Over My Head (Better Off Dead)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4278446.mp3","http://music.163.com/song/media/outer/url?id=4278446.mp3"],
["Fell For You (Otis Mix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=494865776.mp3","http://music.163.com/song/media/outer/url?id=494865776.mp3"],
["Alpha Dog","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17804053.mp3","http://music.163.com/song/media/outer/url?id=17804053.mp3"],
["Love Runs Out","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28406990.mp3","http://music.163.com/song/media/outer/url?id=28406990.mp3"],
["It's My Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950546.mp3","http://music.163.com/song/media/outer/url?id=3950546.mp3"],
["Take My Hand","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21609195.mp3","http://music.163.com/song/media/outer/url?id=21609195.mp3"],
["Revolution Radio","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=429482188.mp3","http://music.163.com/song/media/outer/url?id=429482188.mp3"],
["If You Could See Me Now","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19542328.mp3","http://music.163.com/song/media/outer/url?id=19542328.mp3"],
["We Own The Night","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27552734.mp3","http://music.163.com/song/media/outer/url?id=27552734.mp3"],
["Live While We're Young","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25882976.mp3","http://music.163.com/song/media/outer/url?id=25882976.mp3"],
["Go Big or Go Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32166698.mp3","http://music.163.com/song/media/outer/url?id=32166698.mp3"],
["Identity","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18904219.mp3","http://music.163.com/song/media/outer/url?id=18904219.mp3"],
["Lovestruck","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28409224.mp3","http://music.163.com/song/media/outer/url?id=28409224.mp3"],
["She Will Be Loved","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253949.mp3","http://music.163.com/song/media/outer/url?id=21253949.mp3"],
["What A Catch, Donnie","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17804051.mp3","http://music.163.com/song/media/outer/url?id=17804051.mp3"],
["Valentine's Day","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16686394.mp3","http://music.163.com/song/media/outer/url?id=16686394.mp3"],
["When It's Time","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4083680.mp3","http://music.163.com/song/media/outer/url?id=4083680.mp3"],
["Lake And Ocean","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26177038.mp3","http://music.163.com/song/media/outer/url?id=26177038.mp3"],
["The New Boy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3027830.mp3","http://music.163.com/song/media/outer/url?id=3027830.mp3"],
["Tear","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21535819.mp3","http://music.163.com/song/media/outer/url?id=21535819.mp3"],
["Sight of the Sun","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28302126.mp3","http://music.163.com/song/media/outer/url?id=28302126.mp3"],
["Tongue Tied","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1346261.mp3","http://music.163.com/song/media/outer/url?id=1346261.mp3"],
["Gives You Hell","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19594371.mp3","http://music.163.com/song/media/outer/url?id=19594371.mp3"],
["Between","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4014414.mp3","http://music.163.com/song/media/outer/url?id=4014414.mp3"],
["Enchanted","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1807794.mp3","http://music.163.com/song/media/outer/url?id=1807794.mp3"],
["Cancer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430315596.mp3","http://music.163.com/song/media/outer/url?id=430315596.mp3"],
["The Sandman","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21301200.mp3","http://music.163.com/song/media/outer/url?id=21301200.mp3"],
["The Sound Of Silence","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5113327.mp3","http://music.163.com/song/media/outer/url?id=5113327.mp3"],
["Santa Monica","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3404721.mp3","http://music.163.com/song/media/outer/url?id=3404721.mp3"],
["Fix You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3986326.mp3","http://music.163.com/song/media/outer/url?id=3986326.mp3"],
["Breakeven","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19542376.mp3","http://music.163.com/song/media/outer/url?id=19542376.mp3"],
["Something I Need","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26060071.mp3","http://music.163.com/song/media/outer/url?id=26060071.mp3"],
["Love Will Keep Us Alive","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4049385.mp3","http://music.163.com/song/media/outer/url?id=4049385.mp3"],
["Unintended","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21256075.mp3","http://music.163.com/song/media/outer/url?id=21256075.mp3"],
["Indian Summer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25730836.mp3","http://music.163.com/song/media/outer/url?id=25730836.mp3"],
["My Personal Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27845051.mp3","http://music.163.com/song/media/outer/url?id=27845051.mp3"],
["Drag Me Down","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33579194.mp3","http://music.163.com/song/media/outer/url?id=33579194.mp3"],
["Basket Case","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4085062.mp3","http://music.163.com/song/media/outer/url?id=4085062.mp3"],
["Black Tattoo","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17837804.mp3","http://music.163.com/song/media/outer/url?id=17837804.mp3"],
["It's Not Over","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17456167.mp3","http://music.163.com/song/media/outer/url?id=17456167.mp3"],
["Somebody To You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28409210.mp3","http://music.163.com/song/media/outer/url?id=28409210.mp3"],
["Uptown Funk","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29722263.mp3","http://music.163.com/song/media/outer/url?id=29722263.mp3"],
["Get Lucky","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26399296.mp3","http://music.163.com/song/media/outer/url?id=26399296.mp3"],
["This Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253947.mp3","http://music.163.com/song/media/outer/url?id=21253947.mp3"],
["True Romance","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17106314.mp3","http://music.163.com/song/media/outer/url?id=17106314.mp3"],
["Cabin Down Below","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27792514.mp3","http://music.163.com/song/media/outer/url?id=27792514.mp3"],
["Stuck In My Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22407775.mp3","http://music.163.com/song/media/outer/url?id=22407775.mp3"],
["They Don't Know About Us","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25882982.mp3","http://music.163.com/song/media/outer/url?id=25882982.mp3"],
["Fireflies","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1807836.mp3","http://music.163.com/song/media/outer/url?id=1807836.mp3"],
["The Scientist","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17177367.mp3","http://music.163.com/song/media/outer/url?id=17177367.mp3"],
["Misery","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4172909.mp3","http://music.163.com/song/media/outer/url?id=4172909.mp3"],
["All Rise","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5162502.mp3","http://music.163.com/song/media/outer/url?id=5162502.mp3"],
["Wonderwall","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4226257.mp3","http://music.163.com/song/media/outer/url?id=4226257.mp3"],
["Welcome To My Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21609243.mp3","http://music.163.com/song/media/outer/url?id=21609243.mp3"],
["Knockin' On Heaven's Door","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18095057.mp3","http://music.163.com/song/media/outer/url?id=18095057.mp3"],
["Let It Rain","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4085555.mp3","http://music.163.com/song/media/outer/url?id=4085555.mp3"],
["Carrie","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2532727.mp3","http://music.163.com/song/media/outer/url?id=2532727.mp3"],
["Hurricane 2000","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4280256.mp3","http://music.163.com/song/media/outer/url?id=4280256.mp3"],
["Uma Thurman","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30039652.mp3","http://music.163.com/song/media/outer/url?id=30039652.mp3"],
["The Hell Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4278398.mp3","http://music.163.com/song/media/outer/url?id=4278398.mp3"],
["Teenagers","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21162704.mp3","http://music.163.com/song/media/outer/url?id=21162704.mp3"],
["Somewhere I Belong","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4153490.mp3","http://music.163.com/song/media/outer/url?id=4153490.mp3"],
["Party Rock Anthem","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16648232.mp3","http://music.163.com/song/media/outer/url?id=16648232.mp3"],
["I Love You All the Time (Play It Forward Campaign)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=39436556.mp3","http://music.163.com/song/media/outer/url?id=39436556.mp3"],
["Steal My Girl","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29450452.mp3","http://music.163.com/song/media/outer/url?id=29450452.mp3"],
["Ink","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28535292.mp3","http://music.163.com/song/media/outer/url?id=28535292.mp3"],
["Feelings","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29019232.mp3","http://music.163.com/song/media/outer/url?id=29019232.mp3"],
["50 Ways to Say Goodbye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21803760.mp3","http://music.163.com/song/media/outer/url?id=21803760.mp3"],
["Don't Let Me Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19535983.mp3","http://music.163.com/song/media/outer/url?id=19535983.mp3"],
["Gold","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1807693.mp3","http://music.163.com/song/media/outer/url?id=1807693.mp3"],
["Learn To Love Again (Radio Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27867422.mp3","http://music.163.com/song/media/outer/url?id=27867422.mp3"],
["Twin Skeleton's (Hotel In NYC)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30070919.mp3","http://music.163.com/song/media/outer/url?id=30070919.mp3"],
["I’m So Sorry","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30621332.mp3","http://music.163.com/song/media/outer/url?id=30621332.mp3"],
["This Is Gospel","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27804145.mp3","http://music.163.com/song/media/outer/url?id=27804145.mp3"],
["Miracles","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29802587.mp3","http://music.163.com/song/media/outer/url?id=29802587.mp3"],
["Life Is Beautiful","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3558691.mp3","http://music.163.com/song/media/outer/url?id=3558691.mp3"],
["Only After You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19179549.mp3","http://music.163.com/song/media/outer/url?id=19179549.mp3"],
["18","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29719172.mp3","http://music.163.com/song/media/outer/url?id=29719172.mp3"],
["Lucky Strike","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253809.mp3","http://music.163.com/song/media/outer/url?id=21253809.mp3"],
["Leave Out All The Rest (Single Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16686600.mp3","http://music.163.com/song/media/outer/url?id=16686600.mp3"],
["Just One Yesterday","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26199449.mp3","http://music.163.com/song/media/outer/url?id=26199449.mp3"],
["Life In Color","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26060075.mp3","http://music.163.com/song/media/outer/url?id=26060075.mp3"],
["Creep","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22605222.mp3","http://music.163.com/song/media/outer/url?id=22605222.mp3"],
["Fool's Day","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3951074.mp3","http://music.163.com/song/media/outer/url?id=3951074.mp3"],
["With Or Without You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26292652.mp3","http://music.163.com/song/media/outer/url?id=26292652.mp3"],
["Into The Fire","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19282070.mp3","http://music.163.com/song/media/outer/url?id=19282070.mp3"],
["Closer","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4330176.mp3","http://music.163.com/song/media/outer/url?id=4330176.mp3"],
["Six Degrees Of Separation","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19542336.mp3","http://music.163.com/song/media/outer/url?id=19542336.mp3"],
["When Can I See You Again?","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731290.mp3","http://music.163.com/song/media/outer/url?id=27731290.mp3"],
["I Lived","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26060066.mp3","http://music.163.com/song/media/outer/url?id=26060066.mp3"],
["Magic","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28285776.mp3","http://music.163.com/song/media/outer/url?id=28285776.mp3"],
["Lost Stars","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32102655.mp3","http://music.163.com/song/media/outer/url?id=32102655.mp3"],
["One Thing","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17753277.mp3","http://music.163.com/song/media/outer/url?id=17753277.mp3"],
["Save Rock And Roll","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26199455.mp3","http://music.163.com/song/media/outer/url?id=26199455.mp3"],
["Numb Encore","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2417029.mp3","http://music.163.com/song/media/outer/url?id=2417029.mp3"],
["Holiday","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=18127593.mp3","http://music.163.com/song/media/outer/url?id=18127593.mp3"],
["Drive By","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21803914.mp3","http://music.163.com/song/media/outer/url?id=21803914.mp3"],
["Despre tine","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=17792411.mp3","http://music.163.com/song/media/outer/url?id=17792411.mp3"],
["Love Is Easy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26065158.mp3","http://music.163.com/song/media/outer/url?id=26065158.mp3"],
["Daylight","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=21253808.mp3","http://music.163.com/song/media/outer/url?id=21253808.mp3"],
["In The End","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4153632.mp3","http://music.163.com/song/media/outer/url?id=4153632.mp3"],
["It's Time","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4128805.mp3","http://music.163.com/song/media/outer/url?id=4128805.mp3"],
["If I Lose Myself","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25729090.mp3","http://music.163.com/song/media/outer/url?id=25729090.mp3"],
["Never Say Never","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5041908.mp3","http://music.163.com/song/media/outer/url?id=5041908.mp3"],
["Iridescent","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16686618.mp3","http://music.163.com/song/media/outer/url?id=16686618.mp3"],
["The Man Who Can't Be Moved","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=19542375.mp3","http://music.163.com/song/media/outer/url?id=19542375.mp3"],
["That's Why You Go Away","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5134005.mp3","http://music.163.com/song/media/outer/url?id=5134005.mp3"],
["No Matter What","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16841667.mp3","http://music.163.com/song/media/outer/url?id=16841667.mp3"],
["Guilty","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22208914.mp3","http://music.163.com/song/media/outer/url?id=22208914.mp3"],
["History","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36307819.mp3","http://music.163.com/song/media/outer/url?id=36307819.mp3"],
["Leaving California","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29019228.mp3","http://music.163.com/song/media/outer/url?id=29019228.mp3"],
["Hotel California","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26289183.mp3","http://music.163.com/song/media/outer/url?id=26289183.mp3"],
["Take Me To Your Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4173190.mp3","http://music.163.com/song/media/outer/url?id=4173190.mp3"],
["Christmas Lights","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=22425130.mp3","http://music.163.com/song/media/outer/url?id=22425130.mp3"],
["Verge","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32063064.mp3","http://music.163.com/song/media/outer/url?id=32063064.mp3"],
["I Bet My Life","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29572699.mp3","http://music.163.com/song/media/outer/url?id=29572699.mp3"],
["Hey Jude","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4336259.mp3","http://music.163.com/song/media/outer/url?id=4336259.mp3"],
["Yesterday (Remastered)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4337372.mp3","http://music.163.com/song/media/outer/url?id=4337372.mp3"],
["Let It Be (Remastered)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4336098.mp3","http://music.163.com/song/media/outer/url?id=4336098.mp3"],
["As Long as You Love Me","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950792.mp3","http://music.163.com/song/media/outer/url?id=3950792.mp3"],
["I Want It That Way","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950552.mp3","http://music.163.com/song/media/outer/url?id=3950552.mp3"],
["Show Me the Meaning of Being Lonely","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950015.mp3","http://music.163.com/song/media/outer/url?id=3950015.mp3"],
["Everybody (Backstreet's Back) (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=16835302.mp3","http://music.163.com/song/media/outer/url?id=16835302.mp3"],
["Straight Through My Heart (Main Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3949566.mp3","http://music.163.com/song/media/outer/url?id=3949566.mp3"],
["Shape Of My Heart","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=3950290.mp3","http://music.163.com/song/media/outer/url?id=3950290.mp3"],
["My Love (Radio Edit)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2081057.mp3","http://music.163.com/song/media/outer/url?id=2081057.mp3"],
["Nothing's Gonna Change My Love For You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=2080326.mp3","http://music.163.com/song/media/outer/url?id=2080326.mp3"],
["Seasons in the Sun","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707571.mp3","http://music.163.com/song/media/outer/url?id=20707571.mp3"],
["You Raise Me Up","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707713.mp3","http://music.163.com/song/media/outer/url?id=20707713.mp3"],
["Home","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707696.mp3","http://music.163.com/song/media/outer/url?id=20707696.mp3"],
["Beautiful World","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707408.mp3","http://music.163.com/song/media/outer/url?id=20707408.mp3"],
["Beautiful In White (Demo)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29539085.mp3","http://music.163.com/song/media/outer/url?id=29539085.mp3"],
["Too Hard To Say Goodbye","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=20707422.mp3","http://music.163.com/song/media/outer/url?id=20707422.mp3"]
]
#蔡健雅
caijianya = [
["红色高跟鞋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208902.mp3","http://music.163.com/song/media/outer/url?id=208902.mp3"],
["越来越不懂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208958.mp3","http://music.163.com/song/media/outer/url?id=208958.mp3"],
["被驯服的象","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27747330.mp3","http://music.163.com/song/media/outer/url?id=27747330.mp3"],
["思念是一种病","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185700.mp3","http://music.163.com/song/media/outer/url?id=185700.mp3"],
["空白格","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208938.mp3","http://music.163.com/song/media/outer/url?id=208938.mp3"],
["停格","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30590559.mp3","http://music.163.com/song/media/outer/url?id=30590559.mp3"],
["别找我麻烦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208889.mp3","http://music.163.com/song/media/outer/url?id=208889.mp3"],
["陌生人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209121.mp3","http://music.163.com/song/media/outer/url?id=209121.mp3"],
["Beautiful Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208963.mp3","http://music.163.com/song/media/outer/url?id=208963.mp3"],
["我要给世界最悠长的湿吻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334659052.mp3","http://music.163.com/song/media/outer/url?id=1334659052.mp3"],
["坠落","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27747329.mp3","http://music.163.com/song/media/outer/url?id=27747329.mp3"],
["Nightglow","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1333199831.mp3","http://music.163.com/song/media/outer/url?id=1333199831.mp3"],
["重来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=529747142.mp3","http://music.163.com/song/media/outer/url?id=529747142.mp3"],
["十万毫升泪水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27747328.mp3","http://music.163.com/song/media/outer/url?id=27747328.mp3"],
["Letting Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208891.mp3","http://music.163.com/song/media/outer/url?id=208891.mp3"],
["遗书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1331584791.mp3","http://music.163.com/song/media/outer/url?id=1331584791.mp3"],
["下一次爱情来的时候","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209046.mp3","http://music.163.com/song/media/outer/url?id=209046.mp3"],
["Easy Come Easy Go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27747326.mp3","http://music.163.com/song/media/outer/url?id=27747326.mp3"],
["达尔文 I","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208933.mp3","http://music.163.com/song/media/outer/url?id=208933.mp3"],
["无底洞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209108.mp3","http://music.163.com/song/media/outer/url?id=209108.mp3"],
["达尔文 II 进化版","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208950.mp3","http://music.163.com/song/media/outer/url?id=208950.mp3"],
["达尔文","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208917.mp3","http://music.163.com/song/media/outer/url?id=208917.mp3"],
["失语者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36024442.mp3","http://music.163.com/song/media/outer/url?id=36024442.mp3"],
["抛物线","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208901.mp3","http://music.163.com/song/media/outer/url?id=208901.mp3"],
["若你碰到他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208908.mp3","http://music.163.com/song/media/outer/url?id=208908.mp3"],
["当你离开的时候","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208937.mp3","http://music.163.com/song/media/outer/url?id=208937.mp3"],
["原点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=287025.mp3","http://music.163.com/song/media/outer/url?id=287025.mp3"],
["路口","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208970.mp3","http://music.163.com/song/media/outer/url?id=208970.mp3"],
["一个歌手的情书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33166533.mp3","http://music.163.com/song/media/outer/url?id=33166533.mp3"],
["如果你爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208942.mp3","http://music.163.com/song/media/outer/url?id=208942.mp3"],
["Easy Come Easy go","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26269002.mp3","http://music.163.com/song/media/outer/url?id=26269002.mp3"],
["True Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209008.mp3","http://music.163.com/song/media/outer/url?id=209008.mp3"],
["贪图","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=529747143.mp3","http://music.163.com/song/media/outer/url?id=529747143.mp3"],
["感动每一刻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108362.mp3","http://music.163.com/song/media/outer/url?id=108362.mp3"],
["很靠近海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26609113.mp3","http://music.163.com/song/media/outer/url?id=26609113.mp3"],
["生锈游乐场","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208905.mp3","http://music.163.com/song/media/outer/url?id=208905.mp3"],
["纪念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=38018397.mp3","http://music.163.com/song/media/outer/url?id=38018397.mp3"],
["半途","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334659053.mp3","http://music.163.com/song/media/outer/url?id=1334659053.mp3"],
["舞步","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334649916.mp3","http://music.163.com/song/media/outer/url?id=1334649916.mp3"],
["Just Say So feat. 蔡健雅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1353394893.mp3","http://music.163.com/song/media/outer/url?id=1353394893.mp3"],
["记念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209250.mp3","http://music.163.com/song/media/outer/url?id=209250.mp3"],
["活着是最好的死亡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36664204.mp3","http://music.163.com/song/media/outer/url?id=36664204.mp3"],
["旧行李","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208887.mp3","http://music.163.com/song/media/outer/url?id=208887.mp3"],
["思念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208927.mp3","http://music.163.com/song/media/outer/url?id=208927.mp3"],
["失忆症","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209061.mp3","http://music.163.com/song/media/outer/url?id=209061.mp3"],
["可爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208886.mp3","http://music.163.com/song/media/outer/url?id=208886.mp3"],
["白天不懂夜的黑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5274269.mp3","http://music.163.com/song/media/outer/url?id=5274269.mp3"],
["原谅","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1334649919.mp3","http://music.163.com/song/media/outer/url?id=1334649919.mp3"],
["Only Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208910.mp3","http://music.163.com/song/media/outer/url?id=208910.mp3"],
["谁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=208900.mp3","http://music.163.com/song/media/outer/url?id=208900.mp3"]
]
#张惠妹
zhanghuimei = [
["人质","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327096.mp3","http://music.163.com/song/media/outer/url?id=327096.mp3"],
["真实","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327419.mp3","http://music.163.com/song/media/outer/url?id=327419.mp3"],
["如果你也听说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326904.mp3","http://music.163.com/song/media/outer/url?id=326904.mp3"],
["我最亲爱的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326784.mp3","http://music.163.com/song/media/outer/url?id=326784.mp3"],
["听海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28314060.mp3","http://music.163.com/song/media/outer/url?id=28314060.mp3"],
["血腥爱情故事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31311140.mp3","http://music.163.com/song/media/outer/url?id=31311140.mp3"],
["趁早","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326997.mp3","http://music.163.com/song/media/outer/url?id=326997.mp3"],
["我可以抱你吗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28314062.mp3","http://music.163.com/song/media/outer/url?id=28314062.mp3"],
["Better Dayz Feat. aMEI","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1371537683.mp3","http://music.163.com/song/media/outer/url?id=1371537683.mp3"],
["记得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327068.mp3","http://music.163.com/song/media/outer/url?id=327068.mp3"],
["手牵手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5268423.mp3","http://music.163.com/song/media/outer/url?id=5268423.mp3"],
["Bad Boy","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327586.mp3","http://music.163.com/song/media/outer/url?id=327586.mp3"],
["掉了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326880.mp3","http://music.163.com/song/media/outer/url?id=326880.mp3"],
["哭砂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657149.mp3","http://music.163.com/song/media/outer/url?id=25657149.mp3"],
["最爱的人伤我最深","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327515.mp3","http://music.163.com/song/media/outer/url?id=327515.mp3"],
["别在伤口撒盐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657169.mp3","http://music.163.com/song/media/outer/url?id=25657169.mp3"],
["母系社会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31311126.mp3","http://music.163.com/song/media/outer/url?id=31311126.mp3"],
["我要快乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5246622.mp3","http://music.163.com/song/media/outer/url?id=5246622.mp3"],
["解脱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28314045.mp3","http://music.163.com/song/media/outer/url?id=28314045.mp3"],
["三月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28700951.mp3","http://music.163.com/song/media/outer/url?id=28700951.mp3"],
["彩虹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326887.mp3","http://music.163.com/song/media/outer/url?id=326887.mp3"],
["过不去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327145.mp3","http://music.163.com/song/media/outer/url?id=327145.mp3"],
["开门见山","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326877.mp3","http://music.163.com/song/media/outer/url?id=326877.mp3"],
["她们的歌(遇见/记得/我也很想他/人质/天黑黑/真实/我要的幸福/我要快乐)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26590074.mp3","http://music.163.com/song/media/outer/url?id=26590074.mp3"],
["问","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327320.mp3","http://music.163.com/song/media/outer/url?id=327320.mp3"],
["剪爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657146.mp3","http://music.163.com/song/media/outer/url?id=25657146.mp3"],
["相爱后动物感伤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326881.mp3","http://music.163.com/song/media/outer/url?id=326881.mp3"],
["原来你什么都不想要","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25657147.mp3","http://music.163.com/song/media/outer/url?id=25657147.mp3"],
["姐妹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327599.mp3","http://music.163.com/song/media/outer/url?id=327599.mp3"],
["双影","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1302938992.mp3","http://music.163.com/song/media/outer/url?id=1302938992.mp3"],
["一想到你呀","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327079.mp3","http://music.163.com/song/media/outer/url?id=327079.mp3"],
["一个人对话","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326779.mp3","http://music.163.com/song/media/outer/url?id=326779.mp3"],
["火","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326962.mp3","http://music.163.com/song/media/outer/url?id=326962.mp3"],
["都对也都错","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28754096.mp3","http://music.163.com/song/media/outer/url?id=28754096.mp3"],
["三天三夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28314058.mp3","http://music.163.com/song/media/outer/url?id=28314058.mp3"],
["勇敢","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327247.mp3","http://music.163.com/song/media/outer/url?id=327247.mp3"],
["爱 什么稀罕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5263854.mp3","http://music.163.com/song/media/outer/url?id=5263854.mp3"],
["哭不出来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326922.mp3","http://music.163.com/song/media/outer/url?id=326922.mp3"],
["灵魂尽头","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32102723.mp3","http://music.163.com/song/media/outer/url?id=32102723.mp3"],
["你是爱我的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326893.mp3","http://music.163.com/song/media/outer/url?id=326893.mp3"],
["相亲相爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5243776.mp3","http://music.163.com/song/media/outer/url?id=5243776.mp3"],
["好胆你就来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326883.mp3","http://music.163.com/song/media/outer/url?id=326883.mp3"],
["原来你什么都不要","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327597.mp3","http://music.163.com/song/media/outer/url?id=327597.mp3"],
["我恨我爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326999.mp3","http://music.163.com/song/media/outer/url?id=326999.mp3"],
["这样你还要爱我吗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28754098.mp3","http://music.163.com/song/media/outer/url?id=28754098.mp3"],
["连名带姓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=522352195.mp3","http://music.163.com/song/media/outer/url?id=522352195.mp3"],
["你和我的时光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326799.mp3","http://music.163.com/song/media/outer/url?id=326799.mp3"],
["渴了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326795.mp3","http://music.163.com/song/media/outer/url?id=326795.mp3"],
["一眼瞬间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=326899.mp3","http://music.163.com/song/media/outer/url?id=326899.mp3"],
["偏执面","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28754100.mp3","http://music.163.com/song/media/outer/url?id=28754100.mp3"]
]
#河图
hetu = [
["是风动","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=504686859.mp3","http://music.163.com/song/media/outer/url?id=504686859.mp3"],
["倾尽天下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571867.mp3","http://music.163.com/song/media/outer/url?id=27571867.mp3"],
["狐言","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=39224244.mp3","http://music.163.com/song/media/outer/url?id=39224244.mp3"],
["第三十八年夏至","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101126.mp3","http://music.163.com/song/media/outer/url?id=101126.mp3"],
["为龙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101085.mp3","http://music.163.com/song/media/outer/url?id=101085.mp3"],
["风起天阑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101106.mp3","http://music.163.com/song/media/outer/url?id=101106.mp3"],
["如花","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101079.mp3","http://music.163.com/song/media/outer/url?id=101079.mp3"],
["白衣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101118.mp3","http://music.163.com/song/media/outer/url?id=101118.mp3"],
["隐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28452037.mp3","http://music.163.com/song/media/outer/url?id=28452037.mp3"],
["雾霭有时晴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1335420898.mp3","http://music.163.com/song/media/outer/url?id=1335420898.mp3"],
["不良人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32303044.mp3","http://music.163.com/song/media/outer/url?id=32303044.mp3"],
["凤凰劫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101076.mp3","http://music.163.com/song/media/outer/url?id=101076.mp3"],
["不见有情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=496617470.mp3","http://music.163.com/song/media/outer/url?id=496617470.mp3"],
["依山观澜(无念白)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34578090.mp3","http://music.163.com/song/media/outer/url?id=34578090.mp3"],
["云舒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=574335388.mp3","http://music.163.com/song/media/outer/url?id=574335388.mp3"],
["伶仃谣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101120.mp3","http://music.163.com/song/media/outer/url?id=101120.mp3"],
["不见长安","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101109.mp3","http://music.163.com/song/media/outer/url?id=101109.mp3"],
["天光之外","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306731693.mp3","http://music.163.com/song/media/outer/url?id=1306731693.mp3"],
["不染","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=533181327.mp3","http://music.163.com/song/media/outer/url?id=533181327.mp3"],
["云归处","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448917682.mp3","http://music.163.com/song/media/outer/url?id=448917682.mp3"],
["寸缕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28453011.mp3","http://music.163.com/song/media/outer/url?id=28453011.mp3"],
["墨宝 古龙群侠传","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29818167.mp3","http://music.163.com/song/media/outer/url?id=29818167.mp3"],
["离人醉杭州","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=567532560.mp3","http://music.163.com/song/media/outer/url?id=567532560.mp3"],
["燃尽人间色","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=492491650.mp3","http://music.163.com/song/media/outer/url?id=492491650.mp3"],
["青龙永夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485383515.mp3","http://music.163.com/song/media/outer/url?id=485383515.mp3"],
["窗前明月光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=459437308.mp3","http://music.163.com/song/media/outer/url?id=459437308.mp3"],
["缘生意转","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29811186.mp3","http://music.163.com/song/media/outer/url?id=29811186.mp3"],
["华胥引","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101066.mp3","http://music.163.com/song/media/outer/url?id=101066.mp3"],
["寒衣调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101138.mp3","http://music.163.com/song/media/outer/url?id=101138.mp3"],
["雨碎江南","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101178.mp3","http://music.163.com/song/media/outer/url?id=101178.mp3"],
["热爱至上","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=448520476.mp3","http://music.163.com/song/media/outer/url?id=448520476.mp3"],
["陌上花早","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571866.mp3","http://music.163.com/song/media/outer/url?id=27571866.mp3"],
["盲眼画师","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=455426786.mp3","http://music.163.com/song/media/outer/url?id=455426786.mp3"],
["【剑网3】依山观澜(藏剑·叶英)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30070832.mp3","http://music.163.com/song/media/outer/url?id=30070832.mp3"],
["老酒街","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101093.mp3","http://music.163.com/song/media/outer/url?id=101093.mp3"],
["山河永慕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571861.mp3","http://music.163.com/song/media/outer/url?id=27571861.mp3"],
["雨碎江南.印象","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101092.mp3","http://music.163.com/song/media/outer/url?id=101092.mp3"],
["荔枝春","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27731392.mp3","http://music.163.com/song/media/outer/url?id=27731392.mp3"],
["春风一顾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571859.mp3","http://music.163.com/song/media/outer/url?id=27571859.mp3"],
["江山此夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571858.mp3","http://music.163.com/song/media/outer/url?id=27571858.mp3"],
["命悬一线","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101116.mp3","http://music.163.com/song/media/outer/url?id=101116.mp3"],
["两生契","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28457666.mp3","http://music.163.com/song/media/outer/url?id=28457666.mp3"],
["若某日我封笔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=525558041.mp3","http://music.163.com/song/media/outer/url?id=525558041.mp3"],
["元气封神","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=515647024.mp3","http://music.163.com/song/media/outer/url?id=515647024.mp3"],
["阳关调","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=101082.mp3","http://music.163.com/song/media/outer/url?id=101082.mp3"],
["丹心鉴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=461851456.mp3","http://music.163.com/song/media/outer/url?id=461851456.mp3"],
["海棠酒满","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27571865.mp3","http://music.163.com/song/media/outer/url?id=27571865.mp3"],
["人间入画","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29811165.mp3","http://music.163.com/song/media/outer/url?id=29811165.mp3"],
["明月如霜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=537542277.mp3","http://music.163.com/song/media/outer/url?id=537542277.mp3"],
["一战破晓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413812450.mp3","http://music.163.com/song/media/outer/url?id=413812450.mp3"]
]
#胡彦斌
huyanbin = [
["你要的全拿走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=529668356.mp3","http://music.163.com/song/media/outer/url?id=529668356.mp3"],
["为你我受冷风吹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28191532.mp3","http://music.163.com/song/media/outer/url?id=28191532.mp3"],
["月光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4873065.mp3","http://music.163.com/song/media/outer/url?id=4873065.mp3"],
["返老还童","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=530986052.mp3","http://music.163.com/song/media/outer/url?id=530986052.mp3"],
["红颜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93213.mp3","http://music.163.com/song/media/outer/url?id=93213.mp3"],
["还魂门 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=420513275.mp3","http://music.163.com/song/media/outer/url?id=420513275.mp3"],
["诀别诗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4874264.mp3","http://music.163.com/song/media/outer/url?id=4874264.mp3"],
["男人KTV","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93053.mp3","http://music.163.com/song/media/outer/url?id=93053.mp3"],
["空位","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28191531.mp3","http://music.163.com/song/media/outer/url?id=28191531.mp3"],
["山丘 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877078.mp3","http://music.163.com/song/media/outer/url?id=31877078.mp3"],
["在一起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25639331.mp3","http://music.163.com/song/media/outer/url?id=25639331.mp3"],
["愿望","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93190.mp3","http://music.163.com/song/media/outer/url?id=93190.mp3"],
["你的背包 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877469.mp3","http://music.163.com/song/media/outer/url?id=31877469.mp3"],
["蝴蝶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93188.mp3","http://music.163.com/song/media/outer/url?id=93188.mp3"],
["味道 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877395.mp3","http://music.163.com/song/media/outer/url?id=31877395.mp3"],
["江湖再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27514900.mp3","http://music.163.com/song/media/outer/url?id=27514900.mp3"],
["伤痕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=92824.mp3","http://music.163.com/song/media/outer/url?id=92824.mp3"],
["天谕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=473940676.mp3","http://music.163.com/song/media/outer/url?id=473940676.mp3"],
["当爱已成往事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28191529.mp3","http://music.163.com/song/media/outer/url?id=28191529.mp3"],
["有过你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29818420.mp3","http://music.163.com/song/media/outer/url?id=29818420.mp3"],
["我的舞台","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4877777.mp3","http://music.163.com/song/media/outer/url?id=4877777.mp3"],
["鸽子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409941438.mp3","http://music.163.com/song/media/outer/url?id=409941438.mp3"],
["我以为","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27514901.mp3","http://music.163.com/song/media/outer/url?id=27514901.mp3"],
["爱情是怎么了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25639304.mp3","http://music.163.com/song/media/outer/url?id=25639304.mp3"],
["有梦好甜蜜(独唱版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4877778.mp3","http://music.163.com/song/media/outer/url?id=4877778.mp3"],
["天黑黑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28191534.mp3","http://music.163.com/song/media/outer/url?id=28191534.mp3"],
["笔墨登场","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=92877.mp3","http://music.163.com/song/media/outer/url?id=92877.mp3"],
["潇湘雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93063.mp3","http://music.163.com/song/media/outer/url?id=93063.mp3"],
["一言难尽 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877132.mp3","http://music.163.com/song/media/outer/url?id=31877132.mp3"],
["决别诗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93069.mp3","http://music.163.com/song/media/outer/url?id=93069.mp3"],
["枪火Show","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1370886954.mp3","http://music.163.com/song/media/outer/url?id=1370886954.mp3"],
["没那么简单","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28191533.mp3","http://music.163.com/song/media/outer/url?id=28191533.mp3"],
["快意江湖","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569870987.mp3","http://music.163.com/song/media/outer/url?id=569870987.mp3"],
["一万光年","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=92809.mp3","http://music.163.com/song/media/outer/url?id=92809.mp3"],
["耶利亚女郎 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877158.mp3","http://music.163.com/song/media/outer/url?id=31877158.mp3"],
["我的未来不是梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93211.mp3","http://music.163.com/song/media/outer/url?id=93211.mp3"],
["包袱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93274.mp3","http://music.163.com/song/media/outer/url?id=93274.mp3"],
["皇帝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93175.mp3","http://music.163.com/song/media/outer/url?id=93175.mp3"],
["有个爱你的人不容易(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=399353376.mp3","http://music.163.com/song/media/outer/url?id=399353376.mp3"],
["进行式","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=307231.mp3","http://music.163.com/song/media/outer/url?id=307231.mp3"],
["婚礼进行曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=92956.mp3","http://music.163.com/song/media/outer/url?id=92956.mp3"],
["葬英雄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93192.mp3","http://music.163.com/song/media/outer/url?id=93192.mp3"],
["无所不能","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4877785.mp3","http://music.163.com/song/media/outer/url?id=4877785.mp3"],
["追月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28191535.mp3","http://music.163.com/song/media/outer/url?id=28191535.mp3"],
["另一个自己","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=93081.mp3","http://music.163.com/song/media/outer/url?id=93081.mp3"],
["高手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509311719.mp3","http://music.163.com/song/media/outer/url?id=509311719.mp3"],
["Don't Break My Heart (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877247.mp3","http://music.163.com/song/media/outer/url?id=31877247.mp3"],
["宣言","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5265901.mp3","http://music.163.com/song/media/outer/url?id=5265901.mp3"],
["原来你什么都不要 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31877646.mp3","http://music.163.com/song/media/outer/url?id=31877646.mp3"],
["覅忒好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=532711452.mp3","http://music.163.com/song/media/outer/url?id=532711452.mp3"]
]
#刘德华
liudehua = [
["十七岁","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306459970.mp3","http://music.163.com/song/media/outer/url?id=1306459970.mp3"],
["17岁(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723041.mp3","http://music.163.com/song/media/outer/url?id=29723041.mp3"],
["暗里着迷 (粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723022.mp3","http://music.163.com/song/media/outer/url?id=29723022.mp3"],
["一起走过的日子 (粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723028.mp3","http://music.163.com/song/media/outer/url?id=29723028.mp3"],
["谢谢你的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110184.mp3","http://music.163.com/song/media/outer/url?id=110184.mp3"],
["我恨我痴心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110146.mp3","http://music.163.com/song/media/outer/url?id=110146.mp3"],
["世界第一等(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110761.mp3","http://music.163.com/song/media/outer/url?id=110761.mp3"],
["来生缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=112908.mp3","http://music.163.com/song/media/outer/url?id=112908.mp3"],
["承诺(香港版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251209.mp3","http://music.163.com/song/media/outer/url?id=5251209.mp3"],
["练习","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554191989.mp3","http://music.163.com/song/media/outer/url?id=554191989.mp3"],
["冰雨(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110397.mp3","http://music.163.com/song/media/outer/url?id=110397.mp3"],
["忘情水(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110740.mp3","http://music.163.com/song/media/outer/url?id=110740.mp3"],
["笨小孩(国)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723024.mp3","http://music.163.com/song/media/outer/url?id=29723024.mp3"],
["兄弟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=65487.mp3","http://music.163.com/song/media/outer/url?id=65487.mp3"],
["天意(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109739.mp3","http://music.163.com/song/media/outer/url?id=109739.mp3"],
["情感的禁区","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=113586.mp3","http://music.163.com/song/media/outer/url?id=113586.mp3"],
["最好的声音","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5277180.mp3","http://music.163.com/song/media/outer/url?id=5277180.mp3"],
["无间道(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723039.mp3","http://music.163.com/song/media/outer/url?id=29723039.mp3"],
["爱你一万年(国)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723035.mp3","http://music.163.com/song/media/outer/url?id=29723035.mp3"],
["开心的马骝(2007中国巡回演唱会)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30474601.mp3","http://music.163.com/song/media/outer/url?id=30474601.mp3"],
["男人哭吧不是罪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306459977.mp3","http://music.163.com/song/media/outer/url?id=1306459977.mp3"],
["独自去偷欢(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110706.mp3","http://music.163.com/song/media/outer/url?id=110706.mp3"],
["缘尽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=399504041.mp3","http://music.163.com/song/media/outer/url?id=399504041.mp3"],
["黑蝙蝠中队","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306459976.mp3","http://music.163.com/song/media/outer/url?id=1306459976.mp3"],
["中国人(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110743.mp3","http://music.163.com/song/media/outer/url?id=110743.mp3"],
["孤星泪(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109751.mp3","http://music.163.com/song/media/outer/url?id=109751.mp3"],
["如果你是我的传说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=402428212.mp3","http://music.163.com/song/media/outer/url?id=402428212.mp3"],
["上海滩(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=111106.mp3","http://music.163.com/song/media/outer/url?id=111106.mp3"],
["鸽子情缘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306459968.mp3","http://music.163.com/song/media/outer/url?id=1306459968.mp3"],
["浪子心声(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110731.mp3","http://music.163.com/song/media/outer/url?id=110731.mp3"],
["一生何求","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=64787.mp3","http://music.163.com/song/media/outer/url?id=64787.mp3"],
["难说再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250128.mp3","http://music.163.com/song/media/outer/url?id=5250128.mp3"],
["假装(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110372.mp3","http://music.163.com/song/media/outer/url?id=110372.mp3"],
["可不可以","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110155.mp3","http://music.163.com/song/media/outer/url?id=110155.mp3"],
["真永远(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109749.mp3","http://music.163.com/song/media/outer/url?id=109749.mp3"],
["你是我的女人 (粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723023.mp3","http://music.163.com/song/media/outer/url?id=29723023.mp3"],
["为生命喝彩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250125.mp3","http://music.163.com/song/media/outer/url?id=5250125.mp3"],
["祝福你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36953934.mp3","http://music.163.com/song/media/outer/url?id=36953934.mp3"],
["慢慢习惯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=469699365.mp3","http://music.163.com/song/media/outer/url?id=469699365.mp3"],
["他的女人(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110749.mp3","http://music.163.com/song/media/outer/url?id=110749.mp3"],
["My Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1321392631.mp3","http://music.163.com/song/media/outer/url?id=1321392631.mp3"],
["再吻我吧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110172.mp3","http://music.163.com/song/media/outer/url?id=110172.mp3"],
["牧笛(国)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723029.mp3","http://music.163.com/song/media/outer/url?id=29723029.mp3"],
["高高在下(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110107.mp3","http://music.163.com/song/media/outer/url?id=110107.mp3"],
["回家的路 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30967197.mp3","http://music.163.com/song/media/outer/url?id=30967197.mp3"],
["订做一个天堂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5276990.mp3","http://music.163.com/song/media/outer/url?id=5276990.mp3"],
["爱不完","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110176.mp3","http://music.163.com/song/media/outer/url?id=110176.mp3"],
["仍唱我的歌(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110423.mp3","http://music.163.com/song/media/outer/url?id=110423.mp3"],
["如果有一天(粤)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723043.mp3","http://music.163.com/song/media/outer/url?id=29723043.mp3"],
["恭喜发财之一家人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29723046.mp3","http://music.163.com/song/media/outer/url?id=29723046.mp3"]
]
#李宗盛
lizongsheng = [
["给自己的歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=394670.mp3","http://music.163.com/song/media/outer/url?id=394670.mp3"],
["爱的代价","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108299.mp3","http://music.163.com/song/media/outer/url?id=108299.mp3"],
["山丘 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407002091.mp3","http://music.163.com/song/media/outer/url?id=407002091.mp3"],
["凡人歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108697.mp3","http://music.163.com/song/media/outer/url?id=108697.mp3"],
["鬼迷心窍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108740.mp3","http://music.163.com/song/media/outer/url?id=108740.mp3"],
["当爱已成往事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5255662.mp3","http://music.163.com/song/media/outer/url?id=5255662.mp3"],
["我是真的爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108303.mp3","http://music.163.com/song/media/outer/url?id=108303.mp3"],
["再回首","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108475.mp3","http://music.163.com/song/media/outer/url?id=108475.mp3"],
["寂寞难耐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109014.mp3","http://music.163.com/song/media/outer/url?id=109014.mp3"],
["最近比较烦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108632.mp3","http://music.163.com/song/media/outer/url?id=108632.mp3"],
["你走你的路","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=210838.mp3","http://music.163.com/song/media/outer/url?id=210838.mp3"],
["匆匆 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29932455.mp3","http://music.163.com/song/media/outer/url?id=29932455.mp3"],
["壮志在我胸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5282360.mp3","http://music.163.com/song/media/outer/url?id=5282360.mp3"],
["听见有人叫你宝贝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108331.mp3","http://music.163.com/song/media/outer/url?id=108331.mp3"],
["如风往事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108461.mp3","http://music.163.com/song/media/outer/url?id=108461.mp3"],
["采红菱 (live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33668078.mp3","http://music.163.com/song/media/outer/url?id=33668078.mp3"],
["我是一只小小鸟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144269.mp3","http://music.163.com/song/media/outer/url?id=144269.mp3"],
["生命中的精灵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108998.mp3","http://music.163.com/song/media/outer/url?id=108998.mp3"],
["遇见另一个自己","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277615.mp3","http://music.163.com/song/media/outer/url?id=277615.mp3"],
["凭着爱+再回首(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110767.mp3","http://music.163.com/song/media/outer/url?id=110767.mp3"],
["爱情少尉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108955.mp3","http://music.163.com/song/media/outer/url?id=108955.mp3"],
["最爱(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=110765.mp3","http://music.163.com/song/media/outer/url?id=110765.mp3"],
["读你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32977647.mp3","http://music.163.com/song/media/outer/url?id=32977647.mp3"],
["给所有单身女子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108967.mp3","http://music.163.com/song/media/outer/url?id=108967.mp3"],
["17岁女生的温柔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109021.mp3","http://music.163.com/song/media/outer/url?id=109021.mp3"],
["和自己赛跑的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108236.mp3","http://music.163.com/song/media/outer/url?id=108236.mp3"],
["台北孤儿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=156998.mp3","http://music.163.com/song/media/outer/url?id=156998.mp3"],
["开场白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108995.mp3","http://music.163.com/song/media/outer/url?id=108995.mp3"],
["當愛已成往事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26123682.mp3","http://music.163.com/song/media/outer/url?id=26123682.mp3"],
["飞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108835.mp3","http://music.163.com/song/media/outer/url?id=108835.mp3"],
["因为寂寞","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108808.mp3","http://music.163.com/song/media/outer/url?id=108808.mp3"],
["明明白白我的心 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406907098.mp3","http://music.163.com/song/media/outer/url?id=406907098.mp3"],
["远行","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108901.mp3","http://music.163.com/song/media/outer/url?id=108901.mp3"],
["一个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109018.mp3","http://music.163.com/song/media/outer/url?id=109018.mp3"],
["希望","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108929.mp3","http://music.163.com/song/media/outer/url?id=108929.mp3"],
["阿宗三件事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5284273.mp3","http://music.163.com/song/media/outer/url?id=5284273.mp3"],
["如果你要离去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109011.mp3","http://music.163.com/song/media/outer/url?id=109011.mp3"],
["爱情有什么道理","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=327414.mp3","http://music.163.com/song/media/outer/url?id=327414.mp3"],
["忙与盲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108975.mp3","http://music.163.com/song/media/outer/url?id=108975.mp3"],
["这样爱你对不对","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108824.mp3","http://music.163.com/song/media/outer/url?id=108824.mp3"],
["那一夜我喝了酒","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108984.mp3","http://music.163.com/song/media/outer/url?id=108984.mp3"],
["没有人知道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109001.mp3","http://music.163.com/song/media/outer/url?id=109001.mp3"],
["别说可惜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108981.mp3","http://music.163.com/song/media/outer/url?id=108981.mp3"],
["李宗盛独白","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5282359.mp3","http://music.163.com/song/media/outer/url?id=5282359.mp3"],
["我的未来，我的家，我的妻","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108971.mp3","http://music.163.com/song/media/outer/url?id=108971.mp3"],
["风柜来的人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=109004.mp3","http://music.163.com/song/media/outer/url?id=109004.mp3"],
["不舍的牵绊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108804.mp3","http://music.163.com/song/media/outer/url?id=108804.mp3"],
["我只想你懂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5281902.mp3","http://music.163.com/song/media/outer/url?id=5281902.mp3"],
["锁上记忆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=108963.mp3","http://music.163.com/song/media/outer/url?id=108963.mp3"],
["结束","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=330992.mp3","http://music.163.com/song/media/outer/url?id=330992.mp3"]
]
#莫文蔚
mowenwei = [
["慢慢喜欢你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541687281.mp3","http://music.163.com/song/media/outer/url?id=541687281.mp3"],
["盛夏的果实","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27937429.mp3","http://music.163.com/song/media/outer/url?id=27937429.mp3"],
["忽然之间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27937466.mp3","http://music.163.com/song/media/outer/url?id=27937466.mp3"],
["一生所爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25707139.mp3","http://music.163.com/song/media/outer/url?id=25707139.mp3"],
["阴天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276936.mp3","http://music.163.com/song/media/outer/url?id=276936.mp3"],
["爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277302.mp3","http://music.163.com/song/media/outer/url?id=277302.mp3"],
["电台情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277822.mp3","http://music.163.com/song/media/outer/url?id=277822.mp3"],
["外面的世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276904.mp3","http://music.163.com/song/media/outer/url?id=276904.mp3"],
["他不爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276995.mp3","http://music.163.com/song/media/outer/url?id=276995.mp3"],
["如果没有你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277111.mp3","http://music.163.com/song/media/outer/url?id=277111.mp3"],
["寂寞的恋人啊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277586.mp3","http://music.163.com/song/media/outer/url?id=277586.mp3"],
["承诺(香港版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5251209.mp3","http://music.163.com/song/media/outer/url?id=5251209.mp3"],
["广岛之恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276999.mp3","http://music.163.com/song/media/outer/url?id=276999.mp3"],
["那么爱你为什么","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=94365.mp3","http://music.163.com/song/media/outer/url?id=94365.mp3"],
["一念之间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32752249.mp3","http://music.163.com/song/media/outer/url?id=32752249.mp3"],
["瑕疵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31889842.mp3","http://music.163.com/song/media/outer/url?id=31889842.mp3"],
["坚强的理由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277367.mp3","http://music.163.com/song/media/outer/url?id=277367.mp3"],
["爱情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277686.mp3","http://music.163.com/song/media/outer/url?id=277686.mp3"],
["I Do","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=499793180.mp3","http://music.163.com/song/media/outer/url?id=499793180.mp3"],
["境外","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29827507.mp3","http://music.163.com/song/media/outer/url?id=29827507.mp3"],
["半生缘 (我们在这里相遇)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=557628382.mp3","http://music.163.com/song/media/outer/url?id=557628382.mp3"],
["如初之光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=531040038.mp3","http://music.163.com/song/media/outer/url?id=531040038.mp3"],
["不散，不见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29775848.mp3","http://music.163.com/song/media/outer/url?id=29775848.mp3"],
["单人房双人床","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277299.mp3","http://music.163.com/song/media/outer/url?id=277299.mp3"],
["北极光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277421.mp3","http://music.163.com/song/media/outer/url?id=277421.mp3"],
["哪怕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29827508.mp3","http://music.163.com/song/media/outer/url?id=29827508.mp3"],
["Stardust","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=413812606.mp3","http://music.163.com/song/media/outer/url?id=413812606.mp3"],
["世间始终你好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=400075212.mp3","http://music.163.com/song/media/outer/url?id=400075212.mp3"],
["Am Pm","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277139.mp3","http://music.163.com/song/media/outer/url?id=277139.mp3"],
["大地之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250816.mp3","http://music.163.com/song/media/outer/url?id=5250816.mp3"],
["采红菱 (live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33668078.mp3","http://music.163.com/song/media/outer/url?id=33668078.mp3"],
["看透","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27937440.mp3","http://music.163.com/song/media/outer/url?id=27937440.mp3"],
["十二楼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277584.mp3","http://music.163.com/song/media/outer/url?id=277584.mp3"],
["当你老了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30621954.mp3","http://music.163.com/song/media/outer/url?id=30621954.mp3"],
["头号粉丝","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276991.mp3","http://music.163.com/song/media/outer/url?id=276991.mp3"],
["偷情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186323.mp3","http://music.163.com/song/media/outer/url?id=186323.mp3"],
["遇见另一个自己","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277615.mp3","http://music.163.com/song/media/outer/url?id=277615.mp3"],
["真的吗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277260.mp3","http://music.163.com/song/media/outer/url?id=277260.mp3"],
["心领神会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=567643219.mp3","http://music.163.com/song/media/outer/url?id=567643219.mp3"],
["恋一世的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277412.mp3","http://music.163.com/song/media/outer/url?id=277412.mp3"],
["打起手鼓唱起歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=276898.mp3","http://music.163.com/song/media/outer/url?id=276898.mp3"],
["其实我一直都想对你说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25642049.mp3","http://music.163.com/song/media/outer/url?id=25642049.mp3"],
["两个女孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277604.mp3","http://music.163.com/song/media/outer/url?id=277604.mp3"],
["初恋 (TV Version)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33854083.mp3","http://music.163.com/song/media/outer/url?id=33854083.mp3"],
["The Way You Make Me Feel","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277771.mp3","http://music.163.com/song/media/outer/url?id=277771.mp3"],
["我明白他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277193.mp3","http://music.163.com/song/media/outer/url?id=277193.mp3"],
["站起来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250122.mp3","http://music.163.com/song/media/outer/url?id=5250122.mp3"],
["时间里的飞人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29827506.mp3","http://music.163.com/song/media/outer/url?id=29827506.mp3"],
["一切安好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29819412.mp3","http://music.163.com/song/media/outer/url?id=29819412.mp3"],
["是非题","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=277810.mp3","http://music.163.com/song/media/outer/url?id=277810.mp3"]
]
#任贤齐
renxianqi = [
["伤心太平洋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144513.mp3","http://music.163.com/song/media/outer/url?id=144513.mp3"],
["还有我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144083.mp3","http://music.163.com/song/media/outer/url?id=144083.mp3"],
["心太软","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144619.mp3","http://music.163.com/song/media/outer/url?id=144619.mp3"],
["天涯","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144380.mp3","http://music.163.com/song/media/outer/url?id=144380.mp3"],
["花好月圆夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5265772.mp3","http://music.163.com/song/media/outer/url?id=5265772.mp3"],
["我是一只鱼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144515.mp3","http://music.163.com/song/media/outer/url?id=144515.mp3"],
["浪花一朵朵","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5272970.mp3","http://music.163.com/song/media/outer/url?id=5272970.mp3"],
["对面的女孩看过来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144156.mp3","http://music.163.com/song/media/outer/url?id=144156.mp3"],
["流着泪的你的脸","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144135.mp3","http://music.163.com/song/media/outer/url?id=144135.mp3"],
["兄弟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144307.mp3","http://music.163.com/song/media/outer/url?id=144307.mp3"],
["花太香","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144161.mp3","http://music.163.com/song/media/outer/url?id=144161.mp3"],
["春天花会开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144359.mp3","http://music.163.com/song/media/outer/url?id=144359.mp3"],
["沧海一声笑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144382.mp3","http://music.163.com/song/media/outer/url?id=144382.mp3"],
["死不了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144378.mp3","http://music.163.com/song/media/outer/url?id=144378.mp3"],
["只爱你一个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144564.mp3","http://music.163.com/song/media/outer/url?id=144564.mp3"],
["大地之歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250816.mp3","http://music.163.com/song/media/outer/url?id=5250816.mp3"],
["烛光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144487.mp3","http://music.163.com/song/media/outer/url?id=144487.mp3"],
["橘子香水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144362.mp3","http://music.163.com/song/media/outer/url?id=144362.mp3"],
["哭个痛快","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144630.mp3","http://music.163.com/song/media/outer/url?id=144630.mp3"],
["星语心愿(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144219.mp3","http://music.163.com/song/media/outer/url?id=144219.mp3"],
["我是一只小小鸟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144269.mp3","http://music.163.com/song/media/outer/url?id=144269.mp3"],
["别傻了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186420.mp3","http://music.163.com/song/media/outer/url?id=186420.mp3"],
["干啦 干啦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=454924321.mp3","http://music.163.com/song/media/outer/url?id=454924321.mp3"],
["诛仙恋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144082.mp3","http://music.163.com/song/media/outer/url?id=144082.mp3"],
["少年游","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144187.mp3","http://music.163.com/song/media/outer/url?id=144187.mp3"],
["永不退缩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144104.mp3","http://music.163.com/song/media/outer/url?id=144104.mp3"],
["小雪","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144364.mp3","http://music.163.com/song/media/outer/url?id=144364.mp3"],
["诛仙我回来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144079.mp3","http://music.163.com/song/media/outer/url?id=144079.mp3"],
["老地方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144094.mp3","http://music.163.com/song/media/outer/url?id=144094.mp3"],
["飞鸟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144250.mp3","http://music.163.com/song/media/outer/url?id=144250.mp3"],
["水晶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144137.mp3","http://music.163.com/song/media/outer/url?id=144137.mp3"],
["把悲伤留给自己(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144408.mp3","http://music.163.com/song/media/outer/url?id=144408.mp3"],
["不再让你孤单","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144179.mp3","http://music.163.com/song/media/outer/url?id=144179.mp3"],
["任逍遥","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5271855.mp3","http://music.163.com/song/media/outer/url?id=5271855.mp3"],
["一个人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144173.mp3","http://music.163.com/song/media/outer/url?id=144173.mp3"],
["呢喃","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144366.mp3","http://music.163.com/song/media/outer/url?id=144366.mp3"],
["爱的路上只有我和你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144154.mp3","http://music.163.com/song/media/outer/url?id=144154.mp3"],
["时光诛仙 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=424262245.mp3","http://music.163.com/song/media/outer/url?id=424262245.mp3"],
["心情车站","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144517.mp3","http://music.163.com/song/media/outer/url?id=144517.mp3"],
["小狼狗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144108.mp3","http://music.163.com/song/media/outer/url?id=144108.mp3"],
["活着","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144372.mp3","http://music.163.com/song/media/outer/url?id=144372.mp3"],
["依靠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25927959.mp3","http://music.163.com/song/media/outer/url?id=25927959.mp3"],
["爱你的最后一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144089.mp3","http://music.163.com/song/media/outer/url?id=144089.mp3"],
["再出发","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144254.mp3","http://music.163.com/song/media/outer/url?id=144254.mp3"],
["给你幸福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144457.mp3","http://music.163.com/song/media/outer/url?id=144457.mp3"],
["赶不走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144304.mp3","http://music.163.com/song/media/outer/url?id=144304.mp3"],
["两极","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144106.mp3","http://music.163.com/song/media/outer/url?id=144106.mp3"],
["歌舞：朋友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1344034200.mp3","http://music.163.com/song/media/outer/url?id=1344034200.mp3"],
["鬼迷心窍","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28204001.mp3","http://music.163.com/song/media/outer/url?id=28204001.mp3"],
["好聚好散","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=144160.mp3","http://music.163.com/song/media/outer/url?id=144160.mp3"]
]
#宋冬野
songdongye = [
["平淡日子里的刺","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27808295.mp3","http://music.163.com/song/media/outer/url?id=27808295.mp3"],
["安和桥（Cover：宋冬野）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1293973183.mp3","http://music.163.com/song/media/outer/url?id=1293973183.mp3"],
["安和桥『男女双声道』（Cover：刘安琪）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1339726809.mp3","http://music.163.com/song/media/outer/url?id=1339726809.mp3"],
["董小姐（Cover：宋冬野）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1356104391.mp3","http://music.163.com/song/media/outer/url?id=1356104391.mp3"],
["宋冬野-董小姐Remix Beat（CP3 AKA 圣保罗 / 宋冬野 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1335900551.mp3","http://music.163.com/song/media/outer/url?id=1335900551.mp3"],
["秋天的酒（说唱版安和桥Remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541895893.mp3","http://music.163.com/song/media/outer/url?id=541895893.mp3"]
]
#田馥甄
tianfuzhen = [
["你就不要想起我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28018075.mp3","http://music.163.com/song/media/outer/url?id=28018075.mp3"],
["魔鬼中的天使","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296837.mp3","http://music.163.com/song/media/outer/url?id=296837.mp3"],
["小幸运","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=33206214.mp3","http://music.163.com/song/media/outer/url?id=33206214.mp3"],
["爱了很久的朋友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=547976490.mp3","http://music.163.com/song/media/outer/url?id=547976490.mp3"],
["只对你有感觉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=354620.mp3","http://music.163.com/song/media/outer/url?id=354620.mp3"],
["寂寞寂寞就好","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296885.mp3","http://music.163.com/song/media/outer/url?id=296885.mp3"],
["爱着爱着就永远","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28038055.mp3","http://music.163.com/song/media/outer/url?id=28038055.mp3"],
["不醉不会","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28018072.mp3","http://music.163.com/song/media/outer/url?id=28018072.mp3"],
["最暖的忧伤","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553546087.mp3","http://music.163.com/song/media/outer/url?id=553546087.mp3"],
["我想我不会爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296883.mp3","http://music.163.com/song/media/outer/url?id=296883.mp3"],
["还是要幸福","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296836.mp3","http://music.163.com/song/media/outer/url?id=296836.mp3"],
["灵魂伴侣","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953665.mp3","http://music.163.com/song/media/outer/url?id=417953665.mp3"],
["你太猖狂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296888.mp3","http://music.163.com/song/media/outer/url?id=296888.mp3"],
["My Love","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296834.mp3","http://music.163.com/song/media/outer/url?id=296834.mp3"],
["独善其身","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953669.mp3","http://music.163.com/song/media/outer/url?id=417953669.mp3"],
["这个人已经与我无关","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28038062.mp3","http://music.163.com/song/media/outer/url?id=28038062.mp3"],
["渺小","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27968284.mp3","http://music.163.com/song/media/outer/url?id=27968284.mp3"],
["矛盾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28038058.mp3","http://music.163.com/song/media/outer/url?id=28038058.mp3"],
["囚鸟 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296829.mp3","http://music.163.com/song/media/outer/url?id=296829.mp3"],
["给小孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296894.mp3","http://music.163.com/song/media/outer/url?id=296894.mp3"],
["你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296841.mp3","http://music.163.com/song/media/outer/url?id=296841.mp3"],
["我对不起我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296881.mp3","http://music.163.com/song/media/outer/url?id=296881.mp3"],
["终身大事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28038060.mp3","http://music.163.com/song/media/outer/url?id=28038060.mp3"],
["无常","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28038059.mp3","http://music.163.com/song/media/outer/url?id=28038059.mp3"],
["自己的房间","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1302090508.mp3","http://music.163.com/song/media/outer/url?id=1302090508.mp3"],
["余波荡漾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953666.mp3","http://music.163.com/song/media/outer/url?id=417953666.mp3"],
["日常","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953660.mp3","http://music.163.com/song/media/outer/url?id=417953660.mp3"],
["无用","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953662.mp3","http://music.163.com/song/media/outer/url?id=417953662.mp3"],
["花花世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296839.mp3","http://music.163.com/song/media/outer/url?id=296839.mp3"],
["Love!","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296897.mp3","http://music.163.com/song/media/outer/url?id=296897.mp3"],
["看淡","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=428095024.mp3","http://music.163.com/song/media/outer/url?id=428095024.mp3"],
["追梦人 + 野百合也有春天 + 鹿港小镇 + 沉默的表示 + 爱的箴言 + 是否 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=430208761.mp3","http://music.163.com/song/media/outer/url?id=430208761.mp3"],
["傻子(春浪2013live版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27890500.mp3","http://music.163.com/song/media/outer/url?id=27890500.mp3"],
["热情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28935298.mp3","http://music.163.com/song/media/outer/url?id=28935298.mp3"],
["人间烟火","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953661.mp3","http://music.163.com/song/media/outer/url?id=417953661.mp3"],
["我真的受伤了 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28949115.mp3","http://music.163.com/song/media/outer/url?id=28949115.mp3"],
["请你给我好一点的情敌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296835.mp3","http://music.163.com/song/media/outer/url?id=296835.mp3"],
["什么，哪里","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=417953667.mp3","http://music.163.com/song/media/outer/url?id=417953667.mp3"],
["魔鬼中的天使+你就不要想起我 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=445844794.mp3","http://music.163.com/song/media/outer/url?id=445844794.mp3"],
["Loving Strangers (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=541480552.mp3","http://music.163.com/song/media/outer/url?id=541480552.mp3"],
["遗憾","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27946386.mp3","http://music.163.com/song/media/outer/url?id=27946386.mp3"],
["To Hebe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296874.mp3","http://music.163.com/song/media/outer/url?id=296874.mp3"],
["叶子 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296862.mp3","http://music.163.com/song/media/outer/url?id=296862.mp3"],
["离别曲","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=209045.mp3","http://music.163.com/song/media/outer/url?id=209045.mp3"],
["美女与野兽","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=459275100.mp3","http://music.163.com/song/media/outer/url?id=459275100.mp3"],
["夏夜晚风 (live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34200650.mp3","http://music.163.com/song/media/outer/url?id=34200650.mp3"],
["十万嬉皮 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=31246280.mp3","http://music.163.com/song/media/outer/url?id=31246280.mp3"],
["离岛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296877.mp3","http://music.163.com/song/media/outer/url?id=296877.mp3"],
["无事生非","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=296838.mp3","http://music.163.com/song/media/outer/url?id=296838.mp3"],
["口袋的温度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28038057.mp3","http://music.163.com/song/media/outer/url?id=28038057.mp3"]
]
#汪苏泷
wangsulong = [
["耿","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1368327462.mp3","http://music.163.com/song/media/outer/url?id=1368327462.mp3"],
["有点甜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165340.mp3","http://music.163.com/song/media/outer/url?id=165340.mp3"],
["小星星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165379.mp3","http://music.163.com/song/media/outer/url?id=165379.mp3"],
["不分手的恋爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165361.mp3","http://music.163.com/song/media/outer/url?id=165361.mp3"],
["忽而今夏","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=553310138.mp3","http://music.163.com/song/media/outer/url?id=553310138.mp3"],
["一笑倾城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=426852063.mp3","http://music.163.com/song/media/outer/url?id=426852063.mp3"],
["岁月神偷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313052971.mp3","http://music.163.com/song/media/outer/url?id=1313052971.mp3"],
["后会无期","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=174944.mp3","http://music.163.com/song/media/outer/url?id=174944.mp3"],
["那个男孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=482386133.mp3","http://music.163.com/song/media/outer/url?id=482386133.mp3"],
["全世界陪我失眠","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306507727.mp3","http://music.163.com/song/media/outer/url?id=1306507727.mp3"],
["苦笑","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165364.mp3","http://music.163.com/song/media/outer/url?id=165364.mp3"],
["三国杀","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165367.mp3","http://music.163.com/song/media/outer/url?id=165367.mp3"],
["风度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165347.mp3","http://music.163.com/song/media/outer/url?id=165347.mp3"],
["专属味道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165375.mp3","http://music.163.com/song/media/outer/url?id=165375.mp3"],
["巴赫旧约","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165405.mp3","http://music.163.com/song/media/outer/url?id=165405.mp3"],
["为你写诗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1320100071.mp3","http://music.163.com/song/media/outer/url?id=1320100071.mp3"],
["万有引力","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165339.mp3","http://music.163.com/song/media/outer/url?id=165339.mp3"],
["追光者","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1297742771.mp3","http://music.163.com/song/media/outer/url?id=1297742771.mp3"],
["无名之辈","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1319655594.mp3","http://music.163.com/song/media/outer/url?id=1319655594.mp3"],
["放不下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165373.mp3","http://music.163.com/song/media/outer/url?id=165373.mp3"],
["等不到你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165377.mp3","http://music.163.com/song/media/outer/url?id=165377.mp3"],
["年轮","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32897777.mp3","http://music.163.com/song/media/outer/url?id=32897777.mp3"],
["某人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165370.mp3","http://music.163.com/song/media/outer/url?id=165370.mp3"],
["小流星","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=569214141.mp3","http://music.163.com/song/media/outer/url?id=569214141.mp3"],
["埋葬冬天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165380.mp3","http://music.163.com/song/media/outer/url?id=165380.mp3"],
["得不到的温柔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34852171.mp3","http://music.163.com/song/media/outer/url?id=34852171.mp3"],
["你让我懂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165381.mp3","http://music.163.com/song/media/outer/url?id=165381.mp3"],
["我的一切都和你有关系","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1359058820.mp3","http://music.163.com/song/media/outer/url?id=1359058820.mp3"],
["他的爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165372.mp3","http://music.163.com/song/media/outer/url?id=165372.mp3"],
["桃花扇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165345.mp3","http://music.163.com/song/media/outer/url?id=165345.mp3"],
["第一首情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165342.mp3","http://music.163.com/song/media/outer/url?id=165342.mp3"],
["我也不知道","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165355.mp3","http://music.163.com/song/media/outer/url?id=165355.mp3"],
["唯你懂我心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165374.mp3","http://music.163.com/song/media/outer/url?id=165374.mp3"],
["晴","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28606605.mp3","http://music.163.com/song/media/outer/url?id=28606605.mp3"],
["因为了解","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165376.mp3","http://music.163.com/song/media/outer/url?id=165376.mp3"],
["银河","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34125026.mp3","http://music.163.com/song/media/outer/url?id=34125026.mp3"],
["睡前故事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=34532020.mp3","http://music.163.com/song/media/outer/url?id=34532020.mp3"],
["灵主不悔","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=400875065.mp3","http://music.163.com/song/media/outer/url?id=400875065.mp3"],
["十大金曲串烧(现场版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36198246.mp3","http://music.163.com/song/media/outer/url?id=36198246.mp3"],
["停止跳动","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165348.mp3","http://music.163.com/song/media/outer/url?id=165348.mp3"],
["旷梦","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305365921.mp3","http://music.163.com/song/media/outer/url?id=1305365921.mp3"],
["幸福是被你需要","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165382.mp3","http://music.163.com/song/media/outer/url?id=165382.mp3"],
["江湖天下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=454924995.mp3","http://music.163.com/song/media/outer/url?id=454924995.mp3"],
["第十二夜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1308782725.mp3","http://music.163.com/song/media/outer/url?id=1308782725.mp3"],
["慢慢懂","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165383.mp3","http://music.163.com/song/media/outer/url?id=165383.mp3"],
["岛","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1308818695.mp3","http://music.163.com/song/media/outer/url?id=1308818695.mp3"],
["和你在一起","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=570086034.mp3","http://music.163.com/song/media/outer/url?id=570086034.mp3"],
["累不累","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165358.mp3","http://music.163.com/song/media/outer/url?id=165358.mp3"],
["分手季节","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=165346.mp3","http://music.163.com/song/media/outer/url?id=165346.mp3"],
["吵架歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28680028.mp3","http://music.163.com/song/media/outer/url?id=28680028.mp3"]
]
#杨坤
yangkun = [
["空城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176093.mp3","http://music.163.com/song/media/outer/url?id=176093.mp3"],
["真心英雄","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=32835757.mp3","http://music.163.com/song/media/outer/url?id=32835757.mp3"],
["路灯下的小姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176075.mp3","http://music.163.com/song/media/outer/url?id=176075.mp3"],
["牧马人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176110.mp3","http://music.163.com/song/media/outer/url?id=176110.mp3"],
["穷浪漫","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176120.mp3","http://music.163.com/song/media/outer/url?id=176120.mp3"],
["月亮可以代表我的心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=310728.mp3","http://music.163.com/song/media/outer/url?id=310728.mp3"],
["大叔也不错","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=526472521.mp3","http://music.163.com/song/media/outer/url?id=526472521.mp3"],
["兄弟","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=36011209.mp3","http://music.163.com/song/media/outer/url?id=36011209.mp3"],
["舍不得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176094.mp3","http://music.163.com/song/media/outer/url?id=176094.mp3"],
["绝不宽恕","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1374061039.mp3","http://music.163.com/song/media/outer/url?id=1374061039.mp3"],
["梅兰梅兰我爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176080.mp3","http://music.163.com/song/media/outer/url?id=176080.mp3"],
["红","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28793781.mp3","http://music.163.com/song/media/outer/url?id=28793781.mp3"],
["不息之河","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=434659673.mp3","http://music.163.com/song/media/outer/url?id=434659673.mp3"],
["我相信","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176104.mp3","http://music.163.com/song/media/outer/url?id=176104.mp3"],
["众里寻她","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=4872888.mp3","http://music.163.com/song/media/outer/url?id=4872888.mp3"],
["寂寞之王","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176114.mp3","http://music.163.com/song/media/outer/url?id=176114.mp3"],
["那天晚上","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176082.mp3","http://music.163.com/song/media/outer/url?id=176082.mp3"],
["年轻人YMCA","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176081.mp3","http://music.163.com/song/media/outer/url?id=176081.mp3"],
["好好爱我","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176078.mp3","http://music.163.com/song/media/outer/url?id=176078.mp3"],
["在那","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=85421.mp3","http://music.163.com/song/media/outer/url?id=85421.mp3"],
["太阳一样","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176077.mp3","http://music.163.com/song/media/outer/url?id=176077.mp3"],
["让雨下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176099.mp3","http://music.163.com/song/media/outer/url?id=176099.mp3"],
["不要告别","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176083.mp3","http://music.163.com/song/media/outer/url?id=176083.mp3"],
["月儿圆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176118.mp3","http://music.163.com/song/media/outer/url?id=176118.mp3"],
["春眠不觉晓","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176096.mp3","http://music.163.com/song/media/outer/url?id=176096.mp3"],
["飞鱼","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176119.mp3","http://music.163.com/song/media/outer/url?id=176119.mp3"],
["快枪手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27785337.mp3","http://music.163.com/song/media/outer/url?id=27785337.mp3"],
["噢卡罗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176079.mp3","http://music.163.com/song/media/outer/url?id=176079.mp3"],
["握紧我的手(国)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=145888.mp3","http://music.163.com/song/media/outer/url?id=145888.mp3"],
["劫后重生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176095.mp3","http://music.163.com/song/media/outer/url?id=176095.mp3"],
["不见面的朋友","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176122.mp3","http://music.163.com/song/media/outer/url?id=176122.mp3"],
["Beautiful Song","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176124.mp3","http://music.163.com/song/media/outer/url?id=176124.mp3"],
["给我爱过的","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176098.mp3","http://music.163.com/song/media/outer/url?id=176098.mp3"],
["分不开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176116.mp3","http://music.163.com/song/media/outer/url?id=176116.mp3"],
["可是我爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176102.mp3","http://music.163.com/song/media/outer/url?id=176102.mp3"],
["红裙摆","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176112.mp3","http://music.163.com/song/media/outer/url?id=176112.mp3"],
["Lady","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176121.mp3","http://music.163.com/song/media/outer/url?id=176121.mp3"],
["一直走下去","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176100.mp3","http://music.163.com/song/media/outer/url?id=176100.mp3"],
["恋爱超娱乐","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=288723.mp3","http://music.163.com/song/media/outer/url?id=288723.mp3"],
["再见2008","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=176097.mp3","http://music.163.com/song/media/outer/url?id=176097.mp3"]
]
#张敬轩
zhangjingxuan = [
["只是太爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111646.mp3","http://music.163.com/song/media/outer/url?id=28111646.mp3"],
["断点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189323.mp3","http://music.163.com/song/media/outer/url?id=189323.mp3"],
["吻得太逼真","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5250048.mp3","http://music.163.com/song/media/outer/url?id=5250048.mp3"],
["春秋","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188550.mp3","http://music.163.com/song/media/outer/url?id=188550.mp3"],
["酷爱","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189140.mp3","http://music.163.com/song/media/outer/url?id=189140.mp3"],
["爱的故事上集(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188522.mp3","http://music.163.com/song/media/outer/url?id=188522.mp3"],
["值得","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25727424.mp3","http://music.163.com/song/media/outer/url?id=25727424.mp3"],
["樱花树下","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188384.mp3","http://music.163.com/song/media/outer/url?id=188384.mp3"],
["少女的祈祷","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25727428.mp3","http://music.163.com/song/media/outer/url?id=25727428.mp3"],
["尘埃落定","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28138170.mp3","http://music.163.com/song/media/outer/url?id=28138170.mp3"],
["不吐不快","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188878.mp3","http://music.163.com/song/media/outer/url?id=188878.mp3"],
["石径","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188556.mp3","http://music.163.com/song/media/outer/url?id=188556.mp3"],
["骚灵情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111630.mp3","http://music.163.com/song/media/outer/url?id=28111630.mp3"],
["无能为力","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189238.mp3","http://music.163.com/song/media/outer/url?id=189238.mp3"],
["过云雨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189207.mp3","http://music.163.com/song/media/outer/url?id=189207.mp3"],
["披星戴月","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188376.mp3","http://music.163.com/song/media/outer/url?id=188376.mp3"],
["衬","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188552.mp3","http://music.163.com/song/media/outer/url?id=188552.mp3"],
["My Way","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189243.mp3","http://music.163.com/song/media/outer/url?id=189243.mp3"],
["Hate That I Love You","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111601.mp3","http://music.163.com/song/media/outer/url?id=28111601.mp3"],
["听说爱情回来过(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188815.mp3","http://music.163.com/song/media/outer/url?id=188815.mp3"],
["后来(国)(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188649.mp3","http://music.163.com/song/media/outer/url?id=188649.mp3"],
["我的天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189155.mp3","http://music.163.com/song/media/outer/url?id=189155.mp3"],
["悲剧人物","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189161.mp3","http://music.163.com/song/media/outer/url?id=189161.mp3"],
["余震","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111645.mp3","http://music.163.com/song/media/outer/url?id=28111645.mp3"],
["吻得太逼真/酷爱(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5240868.mp3","http://music.163.com/song/media/outer/url?id=5240868.mp3"],
["遇见(国)(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188491.mp3","http://music.163.com/song/media/outer/url?id=188491.mp3"],
["他的故事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111634.mp3","http://music.163.com/song/media/outer/url?id=28111634.mp3"],
["笑忘书","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189181.mp3","http://music.163.com/song/media/outer/url?id=189181.mp3"],
["留低锁匙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111625.mp3","http://music.163.com/song/media/outer/url?id=28111625.mp3"],
["假如让你吻下去(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188788.mp3","http://music.163.com/song/media/outer/url?id=188788.mp3"],
["摄氏零度","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188397.mp3","http://music.163.com/song/media/outer/url?id=188397.mp3"],
["怎么可","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111648.mp3","http://music.163.com/song/media/outer/url?id=28111648.mp3"],
["追风筝的孩子","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189143.mp3","http://music.163.com/song/media/outer/url?id=189143.mp3"],
["单打独斗","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111610.mp3","http://music.163.com/song/media/outer/url?id=28111610.mp3"],
["为何他会离开你(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188835.mp3","http://music.163.com/song/media/outer/url?id=188835.mp3"],
["井","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188254.mp3","http://music.163.com/song/media/outer/url?id=188254.mp3"],
["壮举","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28111649.mp3","http://music.163.com/song/media/outer/url?id=28111649.mp3"],
["至少还有你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5247634.mp3","http://music.163.com/song/media/outer/url?id=5247634.mp3"],
["诱惑的街(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188791.mp3","http://music.163.com/song/media/outer/url?id=188791.mp3"],
["那么爱你为什么(国)(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188625.mp3","http://music.163.com/song/media/outer/url?id=188625.mp3"],
["DEADLINE","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188365.mp3","http://music.163.com/song/media/outer/url?id=188365.mp3"],
["隔夜茶","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188568.mp3","http://music.163.com/song/media/outer/url?id=188568.mp3"],
["追 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=29023561.mp3","http://music.163.com/song/media/outer/url?id=29023561.mp3"],
["钟无艳(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188976.mp3","http://music.163.com/song/media/outer/url?id=188976.mp3"],
["那些感动过人的情歌Medley(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5241979.mp3","http://music.163.com/song/media/outer/url?id=5241979.mp3"],
["婚纱背后","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188391.mp3","http://music.163.com/song/media/outer/url?id=188391.mp3"],
["期待","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=189349.mp3","http://music.163.com/song/media/outer/url?id=189349.mp3"],
["夜机","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25727421.mp3","http://music.163.com/song/media/outer/url?id=25727421.mp3"],
["蔓珠莎华(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188308.mp3","http://music.163.com/song/media/outer/url?id=188308.mp3"],
["爱上一个不回家的人(Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=188832.mp3","http://music.163.com/song/media/outer/url?id=188832.mp3"]
]
#张信哲
zhangxinzhe = [
["爱如潮水","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186345.mp3","http://music.163.com/song/media/outer/url?id=186345.mp3"],
["信仰","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25643328.mp3","http://music.163.com/song/media/outer/url?id=25643328.mp3"],
["过火","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186560.mp3","http://music.163.com/song/media/outer/url?id=186560.mp3"],
["别怕我伤心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186385.mp3","http://music.163.com/song/media/outer/url?id=186385.mp3"],
["白月光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186240.mp3","http://music.163.com/song/media/outer/url?id=186240.mp3"],
["爱就一个字","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186269.mp3","http://music.163.com/song/media/outer/url?id=186269.mp3"],
["从开始到现在","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186279.mp3","http://music.163.com/song/media/outer/url?id=186279.mp3"],
["太想爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186832.mp3","http://music.163.com/song/media/outer/url?id=186832.mp3"],
["手牵手","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5268423.mp3","http://music.163.com/song/media/outer/url?id=5268423.mp3"],
["爱你没错","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30512414.mp3","http://music.163.com/song/media/outer/url?id=30512414.mp3"],
["有一点动心","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186348.mp3","http://music.163.com/song/media/outer/url?id=186348.mp3"],
["不要对他说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186581.mp3","http://music.163.com/song/media/outer/url?id=186581.mp3"],
["焚情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30089042.mp3","http://music.163.com/song/media/outer/url?id=30089042.mp3"],
["用情","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186686.mp3","http://music.163.com/song/media/outer/url?id=186686.mp3"],
["天空之城","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=409302048.mp3","http://music.163.com/song/media/outer/url?id=409302048.mp3"],
["说谎","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186182.mp3","http://music.163.com/song/media/outer/url?id=186182.mp3"],
["难以抗拒你容颜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186383.mp3","http://music.163.com/song/media/outer/url?id=186383.mp3"],
["宽容","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186973.mp3","http://music.163.com/song/media/outer/url?id=186973.mp3"],
["平凡之路 + See You Again (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=406086764.mp3","http://music.163.com/song/media/outer/url?id=406086764.mp3"],
["时间都去哪儿了","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=509726632.mp3","http://music.163.com/song/media/outer/url?id=509726632.mp3"],
["做你的男人","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186181.mp3","http://music.163.com/song/media/outer/url?id=186181.mp3"],
["我是真的爱你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186351.mp3","http://music.163.com/song/media/outer/url?id=186351.mp3"],
["直觉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186625.mp3","http://music.163.com/song/media/outer/url?id=186625.mp3"],
["别让情两难","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=229981.mp3","http://music.163.com/song/media/outer/url?id=229981.mp3"],
["和未来有约(原版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5273791.mp3","http://music.163.com/song/media/outer/url?id=5273791.mp3"],
["爱不留","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25641861.mp3","http://music.163.com/song/media/outer/url?id=25641861.mp3"],
["王子公主","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186442.mp3","http://music.163.com/song/media/outer/url?id=186442.mp3"],
["这么远那么近","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407677623.mp3","http://music.163.com/song/media/outer/url?id=407677623.mp3"],
["致光阴 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=408277951.mp3","http://music.163.com/song/media/outer/url?id=408277951.mp3"],
["好好爱个女孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=464647443.mp3","http://music.163.com/song/media/outer/url?id=464647443.mp3"],
["为你我受冷风吹","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=554242065.mp3","http://music.163.com/song/media/outer/url?id=554242065.mp3"],
["爱情余味","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186307.mp3","http://music.163.com/song/media/outer/url?id=186307.mp3"],
["晴天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186194.mp3","http://music.163.com/song/media/outer/url?id=186194.mp3"],
["残念","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186088.mp3","http://music.163.com/song/media/outer/url?id=186088.mp3"],
["I Believe","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=407679949.mp3","http://music.163.com/song/media/outer/url?id=407679949.mp3"],
["上海姑娘","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186190.mp3","http://music.163.com/song/media/outer/url?id=186190.mp3"],
["多想","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186694.mp3","http://music.163.com/song/media/outer/url?id=186694.mp3"],
["亲爱的小孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=405377707.mp3","http://music.163.com/song/media/outer/url?id=405377707.mp3"],
["逃生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186090.mp3","http://music.163.com/song/media/outer/url?id=186090.mp3"],
["说","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=485612504.mp3","http://music.163.com/song/media/outer/url?id=485612504.mp3"],
["迁徙","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=477331020.mp3","http://music.163.com/song/media/outer/url?id=477331020.mp3"],
["没有人知的故事","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186738.mp3","http://music.163.com/song/media/outer/url?id=186738.mp3"],
["微光","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=404744053.mp3","http://music.163.com/song/media/outer/url?id=404744053.mp3"],
["且行且珍惜","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=186584.mp3","http://music.163.com/song/media/outer/url?id=186584.mp3"],
["有一点心动","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5279150.mp3","http://music.163.com/song/media/outer/url?id=5279150.mp3"],
["爱你的宿命","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=30512410.mp3","http://music.163.com/song/media/outer/url?id=30512410.mp3"],
["爱的箴言","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=403711381.mp3","http://music.163.com/song/media/outer/url?id=403711381.mp3"],
["初恋的地方","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=562592169.mp3","http://music.163.com/song/media/outer/url?id=562592169.mp3"],
["歌从漓江来","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=456185073.mp3","http://music.163.com/song/media/outer/url?id=456185073.mp3"],
["唱响世界","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=5252709.mp3","http://music.163.com/song/media/outer/url?id=5252709.mp3"]
]
#张震岳
zhangzhenyue = [
["再见","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185726.mp3","http://music.163.com/song/media/outer/url?id=185726.mp3"],
["思念是一种病","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185700.mp3","http://music.163.com/song/media/outer/url?id=185700.mp3"],
["My Way (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1371760071.mp3","http://music.163.com/song/media/outer/url?id=1371760071.mp3"],
["爱我别走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185919.mp3","http://music.163.com/song/media/outer/url?id=185919.mp3"],
["小宇","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185712.mp3","http://music.163.com/song/media/outer/url?id=185712.mp3"],
["迷途羔羊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=454698657.mp3","http://music.163.com/song/media/outer/url?id=454698657.mp3"],
["再见Hip-Hop","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306507665.mp3","http://music.163.com/song/media/outer/url?id=1306507665.mp3"],
["爱的初体验","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185937.mp3","http://music.163.com/song/media/outer/url?id=185937.mp3"],
["制作人cypher (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1293951024.mp3","http://music.163.com/song/media/outer/url?id=1293951024.mp3"],
["离开","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135028.mp3","http://music.163.com/song/media/outer/url?id=135028.mp3"],
["很难","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185706.mp3","http://music.163.com/song/media/outer/url?id=185706.mp3"],
["飞太远 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1306497050.mp3","http://music.163.com/song/media/outer/url?id=1306497050.mp3"],
["爱之初体验","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185792.mp3","http://music.163.com/song/media/outer/url?id=185792.mp3"],
["路口","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185704.mp3","http://music.163.com/song/media/outer/url?id=185704.mp3"],
["就让这首歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185713.mp3","http://music.163.com/song/media/outer/url?id=185713.mp3"],
["嗨嗨人生","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135029.mp3","http://music.163.com/song/media/outer/url?id=135029.mp3"],
["不要说爱我 (New Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185751.mp3","http://music.163.com/song/media/outer/url?id=185751.mp3"],
["英雄之火+不灭火 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313052973.mp3","http://music.163.com/song/media/outer/url?id=1313052973.mp3"],
["自由","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185925.mp3","http://music.163.com/song/media/outer/url?id=185925.mp3"],
["双手插口袋 ","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28864686.mp3","http://music.163.com/song/media/outer/url?id=28864686.mp3"],
["孤独求败 (Live)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1313107927.mp3","http://music.163.com/song/media/outer/url?id=1313107927.mp3"],
["有一天","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185634.mp3","http://music.163.com/song/media/outer/url?id=185634.mp3"],
["张震岳 - 思念是一种病 (尤克里里版) [Cover 张震岳 & Mike Zhou Remix] {Oat Studio Replay}（Mike Zhou / 张震岳 remix）","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=475751332.mp3","http://music.163.com/song/media/outer/url?id=475751332.mp3"],
["Bye-Bye (New Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185747.mp3","http://music.163.com/song/media/outer/url?id=185747.mp3"],
["超级想你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=224784.mp3","http://music.163.com/song/media/outer/url?id=224784.mp3"],
["无名的情歌","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26598392.mp3","http://music.163.com/song/media/outer/url?id=26598392.mp3"],
["无名(写给杨乃文的歌)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185665.mp3","http://music.163.com/song/media/outer/url?id=185665.mp3"],
["你说有个女孩","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185702.mp3","http://music.163.com/song/media/outer/url?id=185702.mp3"],
["我会想念你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185745.mp3","http://music.163.com/song/media/outer/url?id=185745.mp3"],
["妙手空空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=25638160.mp3","http://music.163.com/song/media/outer/url?id=25638160.mp3"],
["怎么办","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185947.mp3","http://music.163.com/song/media/outer/url?id=185947.mp3"],
["Super Duper Fly","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28240550.mp3","http://music.163.com/song/media/outer/url?id=28240550.mp3"],
["抱着你","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26355201.mp3","http://music.163.com/song/media/outer/url?id=26355201.mp3"],
["走慢一点点","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26577240.mp3","http://music.163.com/song/media/outer/url?id=26577240.mp3"],
["分手吧","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185796.mp3","http://music.163.com/song/media/outer/url?id=185796.mp3"],
["爱就别走","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=1305366564.mp3","http://music.163.com/song/media/outer/url?id=1305366564.mp3"],
["勇气 (New Remix)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185746.mp3","http://music.163.com/song/media/outer/url?id=185746.mp3"],
["123","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=354799.mp3","http://music.163.com/song/media/outer/url?id=354799.mp3"],
["在凌晨","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185806.mp3","http://music.163.com/song/media/outer/url?id=185806.mp3"],
["超大行李","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=454698658.mp3","http://music.163.com/song/media/outer/url?id=454698658.mp3"],
["我的时代","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=27937287.mp3","http://music.163.com/song/media/outer/url?id=27937287.mp3"],
["Ok","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185708.mp3","http://music.163.com/song/media/outer/url?id=185708.mp3"],
["秘密","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185800.mp3","http://music.163.com/song/media/outer/url?id=185800.mp3"],
["公路 (张震岳独唱版)","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=28638687.mp3","http://music.163.com/song/media/outer/url?id=28638687.mp3"],
["破吉他","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26428030.mp3","http://music.163.com/song/media/outer/url?id=26428030.mp3"],
["跑车与坦克","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26598393.mp3","http://music.163.com/song/media/outer/url?id=26598393.mp3"],
["好无聊","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=135027.mp3","http://music.163.com/song/media/outer/url?id=135027.mp3"],
["我家门前有大海","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=26545124.mp3","http://music.163.com/song/media/outer/url?id=26545124.mp3"],
["我想要的感觉","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185640.mp3","http://music.163.com/song/media/outer/url?id=185640.mp3"],
["两手空空","昵昵网页随机搜索结果~","http://music.163.com/song/media/outer/url?id=185650.mp3","http://music.163.com/song/media/outer/url?id=185650.mp3"]
]
######################################################################################################
#目前包含的歌单和歌手如下面的列表所示:
#list = [alan_walker,asang,beyond,chenyixun,cuimianqu,chunyinyue,dengziqi,douyin,gufeng,huachenyu,huazhou,linjunjie,linyoujia,lironghao,luhan,maobuyi,pushu,she,sunnan,sunyanzi,wangfeng,wangfei,wanglihong,wuyifan,wuyuetian,xuezhiqian,xusong,xuwei,yueyu,zhangjie,zhangxueyou,zhangyixing,zhaolei,zhouchuanxiong,oumei]
music_list = ['纯音乐','欧美','艾伦沃克','alan walker','阿桑','陈奕迅','Beyond','beyond','催眠','邓紫棋','抖音','古风','华晨宇','花粥','林俊杰','林宥嘉','李荣浩','鹿晗','毛不易','朴树','she','SHE','孙楠','孙燕姿','汪峰','王菲','王力宏','吴亦凡','五月天','薛之谦','许嵩','许巍','粤语','张杰','张学友','张艺兴','赵雷','周传雄']
music_all = alan_walker + asang + beyond + chenyixun + cuimianqu + chunyinyue + dengziqi + douyin + gufeng + huachenyu + huazhou + linjunjie + linyoujia + lironghao + luhan + maobuyi + pushu + she + sunnan + sunyanzi + wangfeng + wangfei + wanglihong + wuyifan + wuyuetian + xuezhiqian + xusong + xuwei + yueyu + zhangjie + zhangxueyou + zhangyixing + zhaolei + zhouchuanxiong + oumei + caijianya + hetu + liudehua + huyanbin + lizongsheng + mowenwei + renxianqi + songdongye + tianfuzhen + wangsulong + yangkun + zhangjingxuan + zhangxinzhe + zhangzhenyue
len_all = len(music_all)#计算所有歌曲列表长度
def music_data(music_name):
if '纯音乐' in music_name:
ans = random.choice(chunyinyue)
return ans
elif '欧美' in music_name:
ans = random.choice(oumei)
return ans
elif '艾伦沃克' in music_name or 'alan walker' in music_name:
ans = random.choice(alan_walker)
return ans
elif '阿桑' in music_name:
ans = random.choice(asang)
return ans
elif '陈奕迅' in music_name:
ans = random.choice(chenyixun)
return ans
elif 'Beyond' in music_name or 'beyond' in music_name:
ans = random.choice(beyond)
return ans
elif '催眠' in music_name or '睡觉' in music_name:
ans = random.choice(cuimianqu)
return ans
elif '邓紫棋' in music_name:
ans = random.choice(dengziqi)
return ans
elif '抖音' in music_name:
ans = random.choice(douyin)
return ans
elif '古风' in music_name:
ans = random.choice(gufeng)
return ans
elif '华晨宇' in music_name:
ans = random.choice(huachenyu)
return ans
elif '花粥' in music_name:
ans = random.choice(huazhou)
return ans
elif '林俊杰' in music_name:
ans = random.choice(linjunjie)
return ans
elif '林宥嘉' in music_name:
ans = random.choice(linyoujia)
return ans
elif '李荣浩' in music_name:
ans = random.choice(lironghao)
return ans
elif '鹿晗' in music_name:
ans = random.choice(luhan)
return ans
elif '毛不易' in music_name:
ans = random.choice(maobuyi)
return ans
elif '朴树' in music_name:
ans = random.choice(pushu)
return ans
elif 'she' in music_name or 'sHE' in music_name:
ans = random.choice(she)
return ans
elif '孙楠' in music_name:
ans = random.choice(sunnan)
return ans
elif '孙燕姿' in music_name:
ans = random.choice(sunyanzi)
return ans
elif '汪峰' in music_name:
ans = random.choice(wangfeng)
return ans
elif '王菲' in music_name:
ans = random.choice(wangfei)
return ans
elif '王力宏' in music_name:
ans = random.choice(wanglihong)
return ans
elif '吴亦凡' in music_name:
ans = random.choice(wuyifan)
return ans
elif '五月天' in music_name:
ans = random.choice(wuyuetian)
return ans
elif '薛之谦' in music_name:
ans = random.choice(xuezhiqian)
return ans
elif '许嵩' in music_name:
ans = random.choice(xusong)
return ans
elif '粤语' in music_name:
ans = random.choice(yueyu)
return ans
elif '张学友' in music_name:
ans = random.choice(zhangxueyou)
return ans
elif '张艺兴' in music_name:
ans = random.choice(zhangyixing)
return ans
elif '张杰' in music_name:
ans = random.choice(zhangjie)
return ans
elif '赵雷' in music_name:
ans = random.choice(zhaolei)
return ans
elif '周传雄' in music_name:
ans = random.choice(zhouchuanxiong)
return ans
elif '蔡健雅' in music_name:
ans = random.choice(caijianya)
return ans
elif '河图' in music_name:
ans = random.choice(hetu)
return ans
elif '胡彦斌' in music_name:
ans = random.choice(huyanbin)
return ans
elif '刘德华' in music_name:
ans = random.choice(liudehua)
return ans
elif '李宗盛' in music_name:
ans = random.choice(lizongsheng)
return ans
elif '莫文蔚' in music_name:
ans = random.choice(mowenwei)
return ans
elif '任贤齐' in music_name:
ans = random.choice(renxianqi)
return ans
elif '宋冬野' in music_name:
ans = random.choice(songdongye)
return ans
elif '田馥甄' in music_name:
ans = random.choice(tianfuzhen)
return ans
elif '汪苏泷' in music_name:
ans = random.choice(wangsulong)
return ans
elif '杨坤' in music_name:
ans = random.choice(yangkun)
return ans
elif '张敬轩' in music_name:
ans = random.choice(zhangjingxuan)
return ans
elif '张信哲' in music_name:
ans = random.choice(zhangxinzhe)
return ans
elif '张震岳' in music_name:
ans = random.choice(zhangzhenyue)
return ans
else:#如果都没有，那么随机返回一首歌曲
ans = random.choice(music_all)
return ans
if __name__ == '__main__':
str_ = '周传雄'
print (music_data(str_))
| 143.774489
| 556
| 0.683061
| 109,597
| 689,830
| 4.29895
| 0.074847
| 0.167908
| 0.223877
| 0.279846
| 0.955172
| 0.954938
| 0.952069
| 0.952069
| 0.952069
| 0.952069
| 0
| 0.157584
| 0.064729
| 689,830
| 4,797
| 557
| 143.804461
| 0.572634
| 0.000731
| 0
| 0.186452
| 0
| 1.890753
| 0.844044
| 0.000774
| 0
| 0
| 0
| 0
| 0
| 1
| 0.000215
| false
| 0
| 0.000215
| 0
| 0.010968
| 0.00043
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
afa24568f517e1cf20c3644846865cb7575e9ddb
| 4,896
|
py
|
Python
|
tests/core/v5_1/alexandria/test_radius_tracker.py
|
gsalgado/ddht
|
341e84e9163338556cd48dd2fcfda9eedec3eb45
|
[
"MIT"
] | 1
|
2021-04-05T00:30:39.000Z
|
2021-04-05T00:30:39.000Z
|
tests/core/v5_1/alexandria/test_radius_tracker.py
|
gsalgado/ddht
|
341e84e9163338556cd48dd2fcfda9eedec3eb45
|
[
"MIT"
] | null | null | null |
tests/core/v5_1/alexandria/test_radius_tracker.py
|
gsalgado/ddht
|
341e84e9163338556cd48dd2fcfda9eedec3eb45
|
[
"MIT"
] | null | null | null |
from async_service import background_trio_service
import pytest
import trio
from ddht.tools.factories.alexandria import AdvertisementFactory
from ddht.v5_1.alexandria.messages import AdvertiseMessage, PingMessage
from ddht.v5_1.alexandria.radius_tracker import RadiusTracker
@pytest.mark.trio
async def test_radius_tracker_fetches_radius_when_unknown(
alice, bob, alice_alexandria_network, bob_alexandria_client
):
radius_tracker = RadiusTracker(alice_alexandria_network)
async with bob_alexandria_client.subscribe(PingMessage) as subscription:
async with trio.open_nursery() as nursery:
did_respond = trio.Event()
async def _respond():
request = await subscription.receive()
await bob_alexandria_client.send_pong(
request.sender_node_id,
request.sender_endpoint,
enr_seq=bob.enr.sequence_number,
advertisement_radius=1234,
request_id=request.request_id,
)
did_respond.set()
nursery.start_soon(_respond)
async with background_trio_service(radius_tracker):
await radius_tracker.ready()
with trio.fail_after(2):
advertisement_radius = await radius_tracker.get_advertisement_radius(
bob.node_id,
)
assert advertisement_radius == 1234
await did_respond.wait()
@pytest.mark.trio
async def test_radius_tracker_tracks_via_ping(
alice, bob, alice_alexandria_network, bob_alexandria_client
):
radius_tracker = RadiusTracker(alice_alexandria_network)
bob.enr_db.set_enr(alice.enr)
async with background_trio_service(radius_tracker):
await radius_tracker.ready()
await bob_alexandria_client.ping(
alice.node_id, alice.endpoint, enr_seq=0, advertisement_radius=1234,
)
with trio.fail_after(2):
advertisement_radius = await radius_tracker.get_advertisement_radius(
bob.node_id,
)
assert advertisement_radius == 1234
@pytest.mark.trio
async def test_radius_tracker_tracks_via_pong(
alice, bob, alice_alexandria_network, bob_alexandria_client
):
radius_tracker = RadiusTracker(alice_alexandria_network)
async with bob_alexandria_client.subscribe(PingMessage) as subscription:
async with trio.open_nursery() as nursery:
did_respond = trio.Event()
async def _respond():
request = await subscription.receive()
await bob_alexandria_client.send_pong(
request.sender_node_id,
request.sender_endpoint,
enr_seq=bob.enr.sequence_number,
advertisement_radius=1234,
request_id=request.request_id,
)
did_respond.set()
nursery.start_soon(_respond)
async with background_trio_service(radius_tracker):
await radius_tracker.ready()
await alice_alexandria_network.ping(bob.node_id,)
with trio.fail_after(2):
advertisement_radius = await radius_tracker.get_advertisement_radius(
bob.node_id,
)
assert advertisement_radius == 1234
await did_respond.wait()
@pytest.mark.trio
async def test_radius_tracker_tracks_via_ack(
alice, bob, alice_alexandria_network, bob_alexandria_client
):
radius_tracker = RadiusTracker(alice_alexandria_network)
async with bob_alexandria_client.subscribe(AdvertiseMessage) as subscription:
async with trio.open_nursery() as nursery:
did_respond = trio.Event()
async def _respond():
request = await subscription.receive()
await bob_alexandria_client.send_ack(
request.sender_node_id,
request.sender_endpoint,
advertisement_radius=1234,
acked=(True,),
request_id=request.request_id,
)
did_respond.set()
nursery.start_soon(_respond)
async with background_trio_service(radius_tracker):
await radius_tracker.ready()
await alice_alexandria_network.advertise(
bob.node_id, advertisements=(AdvertisementFactory(),),
)
with trio.fail_after(2):
advertisement_radius = await radius_tracker.get_advertisement_radius(
bob.node_id,
)
assert advertisement_radius == 1234
await did_respond.wait()
| 33.765517
| 89
| 0.619077
| 493
| 4,896
| 5.803245
| 0.150101
| 0.095421
| 0.073051
| 0.043691
| 0.84411
| 0.82943
| 0.82943
| 0.815449
| 0.801818
| 0.801818
| 0
| 0.012323
| 0.320466
| 4,896
| 144
| 90
| 34
| 0.84761
| 0
| 0
| 0.738318
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037383
| 1
| 0
| false
| 0
| 0.056075
| 0
| 0.056075
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
afca633665e47a605eacdf2ec8caed11a7da16a1
| 2,336
|
py
|
Python
|
src/bpp/migrations/0006_auto_20141112_1531.py
|
iplweb/django-bpp
|
85f183a99d8d5027ae4772efac1e4a9f21675849
|
[
"BSD-3-Clause"
] | 1
|
2017-04-27T19:50:02.000Z
|
2017-04-27T19:50:02.000Z
|
src/bpp/migrations/0006_auto_20141112_1531.py
|
mpasternak/django-bpp
|
434338821d5ad1aaee598f6327151aba0af66f5e
|
[
"BSD-3-Clause"
] | 41
|
2019-11-07T00:07:02.000Z
|
2022-02-27T22:09:39.000Z
|
src/bpp/migrations/0006_auto_20141112_1531.py
|
iplweb/bpp
|
f027415cc3faf1ca79082bf7bacd4be35b1a6fdf
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('bpp', '0005_auto_20141107_1950'),
]
operations = [
migrations.AddField(
model_name='praca_doktorska',
name='promotor',
field=models.ForeignKey(on_delete=models.CASCADE, related_name='promotor_doktoratu', blank=True, to='bpp.Autor', null=True),
preserve_default=True,
),
migrations.AlterField(
model_name='patent',
name='afiliowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='patent',
name='recenzowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='praca_doktorska',
name='afiliowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='praca_doktorska',
name='recenzowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='praca_habilitacyjna',
name='afiliowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='praca_habilitacyjna',
name='recenzowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='wydawnictwo_ciagle',
name='afiliowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='wydawnictwo_ciagle',
name='recenzowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='wydawnictwo_zwarte',
name='afiliowana',
field=models.BooleanField(default=False, db_index=True),
),
migrations.AlterField(
model_name='wydawnictwo_zwarte',
name='recenzowana',
field=models.BooleanField(default=False, db_index=True),
),
]
| 32.901408
| 136
| 0.585188
| 207
| 2,336
| 6.425121
| 0.236715
| 0.074436
| 0.180451
| 0.218045
| 0.804511
| 0.784211
| 0.784211
| 0.750376
| 0.750376
| 0.750376
| 0
| 0.010429
| 0.302226
| 2,336
| 70
| 137
| 33.371429
| 0.805521
| 0.00899
| 0
| 0.825397
| 0
| 0
| 0.143969
| 0.009944
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.015873
| 0
| 0.063492
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
bb748ac28a5bf1f575af3be0af6d06f7b36ce186
| 75
|
py
|
Python
|
configure-db.py
|
theapricot/oppapp
|
19c1b24255e439192219a076a8c54d7ed1341e60
|
[
"MIT"
] | null | null | null |
configure-db.py
|
theapricot/oppapp
|
19c1b24255e439192219a076a8c54d7ed1341e60
|
[
"MIT"
] | null | null | null |
configure-db.py
|
theapricot/oppapp
|
19c1b24255e439192219a076a8c54d7ed1341e60
|
[
"MIT"
] | null | null | null |
from oppapp import app as application
from oppapp import *
db.create_all()
| 18.75
| 37
| 0.8
| 12
| 75
| 4.916667
| 0.75
| 0.338983
| 0.542373
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.146667
| 75
| 3
| 38
| 25
| 0.921875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 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
| 1
| 0
| 1
| 0
|
0
| 7
|
3c80187cc7bbf7cd943c0f676c06a404e082eaa8
| 1,520
|
py
|
Python
|
tests/test_loss_utils.py
|
fmi-basel/RDCNet
|
f1ebcab7b7325b08506b8da291a63c7c0470fe5f
|
[
"MIT"
] | 5
|
2020-10-07T03:48:56.000Z
|
2021-05-27T06:28:41.000Z
|
tests/test_loss_utils.py
|
fmi-basel/RDCNet
|
f1ebcab7b7325b08506b8da291a63c7c0470fe5f
|
[
"MIT"
] | null | null | null |
tests/test_loss_utils.py
|
fmi-basel/RDCNet
|
f1ebcab7b7325b08506b8da291a63c7c0470fe5f
|
[
"MIT"
] | 1
|
2021-06-25T10:32:02.000Z
|
2021-06-25T10:32:02.000Z
|
import pytest
import numpy as np
import tensorflow as tf
from rdcnet.losses.utils import hingify
def test_hingify():
yt = np.array([[0., 0., 0., 0., 1., 1., 1., 1.],
[1., 1., 1., 1., 0., 0., 0., 0.]])
yp_hinged = hingify(yt,
np.array([[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3],
[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3]]),
hinge_low=0.,
hinge_high=1.)
np.testing.assert_almost_equal(
yp_hinged,
np.array([[0., 0., 0.1, 0.3, 0.7, 0.9, 1., 1.],
[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3]]))
yp_hinged = hingify(yt,
np.array([[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3],
[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3]]),
hinge_low=0.25,
hinge_high=1.)
np.testing.assert_almost_equal(
yp_hinged,
np.array([[0., 0., 0., 0.3, 0.7, 0.9, 1., 1.],
[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3]]))
yp_hinged = hingify(yt,
np.array([[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3],
[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3]]),
hinge_low=0.,
hinge_high=0.75)
np.testing.assert_almost_equal(
yp_hinged,
np.array([[0., 0., 0.1, 0.3, 0.7, 1., 1., 1.],
[-0.3, 0., 0.1, 0.3, 0.7, 0.9, 1., 1.3]]))
| 36.190476
| 76
| 0.365132
| 263
| 1,520
| 2.038023
| 0.121673
| 0.089552
| 0.117537
| 0.104478
| 0.817164
| 0.800373
| 0.779851
| 0.764925
| 0.764925
| 0.764925
| 0
| 0.207821
| 0.411184
| 1,520
| 41
| 77
| 37.073171
| 0.391061
| 0
| 0
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 1
| 0.029412
| false
| 0
| 0.117647
| 0
| 0.147059
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 8
|
3c9dd90ae89bd46fe981d62a9074ccd48494fd83
| 12,858
|
py
|
Python
|
NeuralNetwork/Assg20Q1.py
|
sum-coderepo/HadoopApp
|
0e8d48c5d541b5935c9054fb1335d829d67d7b59
|
[
"Apache-2.0"
] | 2
|
2020-05-26T23:58:32.000Z
|
2020-11-01T20:45:30.000Z
|
NeuralNetwork/Assg20Q1.py
|
sum-coderepo/HadoopApp
|
0e8d48c5d541b5935c9054fb1335d829d67d7b59
|
[
"Apache-2.0"
] | null | null | null |
NeuralNetwork/Assg20Q1.py
|
sum-coderepo/HadoopApp
|
0e8d48c5d541b5935c9054fb1335d829d67d7b59
|
[
"Apache-2.0"
] | null | null | null |
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision.datasets as dsets
from torch.autograd import Variable
# Set seed
torch.manual_seed(0)
# Scheduler import
from torch.optim.lr_scheduler import StepLR
'''
STEP 1: LOADING DATASET
'''
train_dataset = dsets.MNIST(root='./data',
train=True,
transform=transforms.ToTensor(),
download=True)
test_dataset = dsets.MNIST(root='./data',
train=False,
transform=transforms.ToTensor())
'''
STEP 2: MAKING DATASET ITERABLE
'''
batch_size = 100
n_iters = 3000
num_epochs = n_iters / (len(train_dataset) / batch_size)
num_epochs = int(num_epochs)
train_loader = torch.utils.data.DataLoader(dataset=train_dataset,
batch_size=batch_size,
shuffle=True)
test_loader = torch.utils.data.DataLoader(dataset=test_dataset,
batch_size=batch_size,
shuffle=False)
'''
STEP 3: CREATE MODEL CLASS
'''
class FeedforwardNeuralNetModel(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim):
super(FeedforwardNeuralNetModel, self).__init__()
# Linear function
self.fc1 = nn.Linear(input_dim, hidden_dim)
# Linear weight, W, Y = WX + B
nn.init.normal_(self.fc1.weight, mean=0, std=1)
# Non-linearity
self.tanh = nn.Tanh()
# Linear function (readout)
self.fc2 = nn.Linear(hidden_dim, output_dim)
nn.init.normal_(self.fc2.weight, mean=0, std=1)
def forward(self, x):
# Linear function
out = self.fc1(x)
# Non-linearity
out = self.tanh(out)
# Linear function (readout)
out = self.fc2(out)
return out
'''
STEP 4: INSTANTIATE MODEL CLASS
'''
input_dim = 28*28
hidden_dim = 100
output_dim = 10
model = FeedforwardNeuralNetModel(input_dim, hidden_dim, output_dim)
'''
STEP 5: INSTANTIATE LOSS CLASS
'''
criterion = nn.CrossEntropyLoss()
'''
STEP 6: INSTANTIATE OPTIMIZER CLASS
'''
learning_rate = 0.1
optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate, momentum=0.9, nesterov=True)
'''
STEP 7: INSTANTIATE STEP LEARNING SCHEDULER CLASS
'''
# step_size: at how many multiples of epoch you decay
# step_size = 1, after every 2 epoch, new_lr = lr*gamma
# step_size = 2, after every 2 epoch, new_lr = lr*gamma
# gamma = decaying factor
scheduler = StepLR(optimizer, step_size=1, gamma=0.96)
'''
STEP 8: TRAIN THE MODEL
'''
iter = 0
for epoch in range(num_epochs):
# Decay Learning Rate
scheduler.step()
# Print Learning Rate
print('Epoch:', epoch,'LR:', scheduler.get_lr())
for i, (images, labels) in enumerate(train_loader):
# Load images as tensors with gradient accumulation abilities
images = images.view(-1, 28*28).requires_grad_()
# Clear gradients w.r.t. parameters
optimizer.zero_grad()
# Forward pass to get output/logits
outputs = model(images)
# Calculate Loss: softmax --> cross entropy loss
loss = criterion(outputs, labels)
# Getting gradients w.r.t. parameters
loss.backward()
# Updating parameters
optimizer.step()
iter += 1
if iter % 500 == 0:
# Calculate Accuracy
correct = 0
total = 0
# Iterate through test dataset
for images, labels in test_loader:
# Load images to a Torch Variable
images = images.view(-1, 28*28)
# Forward pass only to get logits/output
outputs = model(images)
# Get predictions from the maximum value
_, predicted = torch.max(outputs.data, 1)
# Total number of labels
total += labels.size(0)
# Total correct predictions
correct += (predicted.type(torch.FloatTensor).cpu() == labels.type(torch.FloatTensor)).sum()
accuracy = 100. * correct.item() / total
# Print Loss
print('Iteration: {}. Loss: {}. Accuracy: {}'.format(iter, loss.item(), accuracy))
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision.datasets as dsets
from torch.autograd import Variable
# Set seed
torch.manual_seed(0)
# Scheduler import
from torch.optim.lr_scheduler import StepLR
'''
STEP 1: LOADING DATASET
'''
train_dataset = dsets.MNIST(root='./data',
train=True,
transform=transforms.ToTensor(),
download=True)
test_dataset = dsets.MNIST(root='./data',
train=False,
transform=transforms.ToTensor())
'''
STEP 2: MAKING DATASET ITERABLE
'''
batch_size = 100
n_iters = 3000
num_epochs = n_iters / (len(train_dataset) / batch_size)
num_epochs = int(num_epochs)
train_loader = torch.utils.data.DataLoader(dataset=train_dataset,
batch_size=batch_size,
shuffle=True)
test_loader = torch.utils.data.DataLoader(dataset=test_dataset,
batch_size=batch_size,
shuffle=False)
'''
STEP 3: CREATE MODEL CLASS
'''
class FeedforwardNeuralNetModel(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim):
super(FeedforwardNeuralNetModel, self).__init__()
# Linear function
self.fc1 = nn.Linear(input_dim, hidden_dim)
# Non-linearity
self.tanh = nn.Tanh()
# Linear function (readout)
self.fc2 = nn.Linear(hidden_dim, output_dim)
def forward(self, x):
# Linear function
out = self.fc1(x)
# Non-linearity
out = self.tanh(out)
# Linear function (readout)
out = self.fc2(out)
return out
'''
STEP 4: INSTANTIATE MODEL CLASS
'''
input_dim = 28*28
hidden_dim = 100
output_dim = 10
model = FeedforwardNeuralNetModel(input_dim, hidden_dim, output_dim)
'''
STEP 5: INSTANTIATE LOSS CLASS
'''
criterion = nn.CrossEntropyLoss()
'''
STEP 6: INSTANTIATE OPTIMIZER CLASS
'''
learning_rate = 0.1
optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate, momentum=0.9, nesterov=True)
'''
STEP 7: INSTANTIATE STEP LEARNING SCHEDULER CLASS
'''
# step_size: at how many multiples of epoch you decay
# step_size = 1, after every 2 epoch, new_lr = lr*gamma
# step_size = 2, after every 2 epoch, new_lr = lr*gamma
# gamma = decaying factor
scheduler = StepLR(optimizer, step_size=1, gamma=0.96)
'''
STEP 8: TRAIN THE MODEL
'''
iter = 0
for epoch in range(num_epochs):
# Decay Learning Rate
scheduler.step()
# Print Learning Rate
print('Epoch:', epoch,'LR:', scheduler.get_lr())
for i, (images, labels) in enumerate(train_loader):
# Load images as tensors with gradient accumulation abilities
images = images.view(-1, 28*28).requires_grad_()
# Clear gradients w.r.t. parameters
optimizer.zero_grad()
# Forward pass to get output/logits
outputs = model(images)
# Calculate Loss: softmax --> cross entropy loss
loss = criterion(outputs, labels)
# Getting gradients w.r.t. parameters
loss.backward()
# Updating parameters
optimizer.step()
iter += 1
if iter % 500 == 0:
# Calculate Accuracy
correct = 0
total = 0
# Iterate through test dataset
for images, labels in test_loader:
# Load images to a Torch Variable
images = images.view(-1, 28*28)
# Forward pass only to get logits/output
outputs = model(images)
# Get predictions from the maximum value
_, predicted = torch.max(outputs.data, 1)
# Total number of labels
total += labels.size(0)
# Total correct predictions
correct += (predicted.type(torch.FloatTensor).cpu() == labels.type(torch.FloatTensor)).sum()
accuracy = 100. * correct.item() / total
# Print Loss
print('Iteration: {}. Loss: {}. Accuracy: {}'.format(iter, loss.item(), accuracy))
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision.datasets as dsets
from torch.autograd import Variable
# Set seed
torch.manual_seed(0)
# Scheduler import
from torch.optim.lr_scheduler import StepLR
'''
STEP 1: LOADING DATASET
'''
train_dataset = dsets.MNIST(root='./data',
train=True,
transform=transforms.ToTensor(),
download=True)
test_dataset = dsets.MNIST(root='./data',
train=False,
transform=transforms.ToTensor())
'''
STEP 2: MAKING DATASET ITERABLE
'''
batch_size = 100
n_iters = 3000
num_epochs = n_iters / (len(train_dataset) / batch_size)
num_epochs = int(num_epochs)
train_loader = torch.utils.data.DataLoader(dataset=train_dataset,
batch_size=batch_size,
shuffle=True)
test_loader = torch.utils.data.DataLoader(dataset=test_dataset,
batch_size=batch_size,
shuffle=False)
'''
STEP 3: CREATE MODEL CLASS
'''
class FeedforwardNeuralNetModel(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim):
super(FeedforwardNeuralNetModel, self).__init__()
# Linear function
self.fc1 = nn.Linear(input_dim, hidden_dim)
# Linear weight, W, Y = WX + B
nn.init.xavier_normal_(self.fc1.weight)
# Non-linearity
self.tanh = nn.Tanh()
# Linear function (readout)
self.fc2 = nn.Linear(hidden_dim, output_dim)
nn.init.xavier_normal_(self.fc2.weight)
def forward(self, x):
# Linear function
out = self.fc1(x)
# Non-linearity
out = self.tanh(out)
# Linear function (readout)
out = self.fc2(out)
return out
'''
STEP 4: INSTANTIATE MODEL CLASS
'''
input_dim = 28*28
hidden_dim = 100
output_dim = 10
model = FeedforwardNeuralNetModel(input_dim, hidden_dim, output_dim)
'''
STEP 5: INSTANTIATE LOSS CLASS
'''
criterion = nn.CrossEntropyLoss()
'''
STEP 6: INSTANTIATE OPTIMIZER CLASS
'''
learning_rate = 0.1
optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate, momentum=0.9, nesterov=True)
'''
STEP 7: INSTANTIATE STEP LEARNING SCHEDULER CLASS
'''
# step_size: at how many multiples of epoch you decay
# step_size = 1, after every 2 epoch, new_lr = lr*gamma
# step_size = 2, after every 2 epoch, new_lr = lr*gamma
# gamma = decaying factor
scheduler = StepLR(optimizer, step_size=1, gamma=0.96)
'''
STEP 8: TRAIN THE MODEL
'''
iter = 0
for epoch in range(num_epochs):
# Decay Learning Rate
scheduler.step()
# Print Learning Rate
print('Epoch:', epoch,'LR:', scheduler.get_lr())
for i, (images, labels) in enumerate(train_loader):
# Load images as tensors with gradient accumulation abilities
images = images.view(-1, 28*28).requires_grad_()
# Clear gradients w.r.t. parameters
optimizer.zero_grad()
# Forward pass to get output/logits
outputs = model(images)
# Calculate Loss: softmax --> cross entropy loss
loss = criterion(outputs, labels)
# Getting gradients w.r.t. parameters
loss.backward()
# Updating parameters
optimizer.step()
iter += 1
if iter % 500 == 0:
# Calculate Accuracy
correct = 0
total = 0
# Iterate through test dataset
for images, labels in test_loader:
# Load images to a Torch Variable
images = images.view(-1, 28*28)
# Forward pass only to get logits/output
outputs = model(images)
# Get predictions from the maximum value
_, predicted = torch.max(outputs.data, 1)
# Total number of labels
total += labels.size(0)
# Total correct predictions
correct += (predicted.type(torch.FloatTensor).cpu() == labels.type(torch.FloatTensor)).sum()
accuracy = 100. * correct.item() / total
# Print Loss
print('Iteration: {}. Loss: {}. Accuracy: {}'.format(iter, loss.item(), accuracy))
| 27.952174
| 108
| 0.599549
| 1,501
| 12,858
| 5.017988
| 0.117921
| 0.021508
| 0.019118
| 0.020313
| 0.994158
| 0.985927
| 0.985927
| 0.985927
| 0.985927
| 0.985927
| 0
| 0.02224
| 0.300591
| 12,858
| 460
| 109
| 27.952174
| 0.815301
| 0.193809
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| 0
| 0
| 0.018622
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.029703
| false
| 0
| 0.089109
| 0
| 0.148515
| 0.029703
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| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
|
0
| 7
|
b1b36dac22e9a63964bf715e067a2c768fda4561
| 11,905
|
py
|
Python
|
src/lockstep/clients/invoices_client.py
|
sfwatanabe/lockstep-sdk-python
|
b388c818663a4b090debb68c65c18728a082fec0
|
[
"MIT"
] | 1
|
2022-03-17T00:23:24.000Z
|
2022-03-17T00:23:24.000Z
|
src/lockstep/clients/invoices_client.py
|
sfwatanabe/lockstep-sdk-python
|
b388c818663a4b090debb68c65c18728a082fec0
|
[
"MIT"
] | null | null | null |
src/lockstep/clients/invoices_client.py
|
sfwatanabe/lockstep-sdk-python
|
b388c818663a4b090debb68c65c18728a082fec0
|
[
"MIT"
] | null | null | null |
#
# Lockstep Software Development Kit for Python
#
# (c) 2021-2022 Lockstep, Inc.
#
# For the full copyright and license information, please view the LICENSE
# file that was distributed with this source code.
#
# @author Ted Spence <tspence@lockstep.io>
# @copyright 2021-2022 Lockstep, Inc.
# @version 2022.4
# @link https://github.com/Lockstep-Network/lockstep-sdk-python
#
from lockstep.lockstep_response import LockstepResponse
from lockstep.models.invoicemodel import InvoiceModel
class InvoicesClient:
def __init__(self, client):
self.client = client
def retrieve_invoice(self, id: str, include: str) -> LockstepResponse:
"""
Retrieves the Invoice specified by this unique identifier,
optionally including nested data sets.
An Invoice represents a bill sent from one company to another.
The creator of the invoice is identified by the `CompanyId`
field, and the recipient of the invoice is identified by the
`CustomerId` field. Most invoices are uniquely identified both
by a Lockstep Platform ID number and a customer ERP "key" that
was generated by the system that originated the invoice.
Invoices have a total amount and a due date, and when some
payments have been made on the Invoice the `TotalAmount` and the
`OutstandingBalanceAmount` may be different.
Parameters
----------
id : str
The unique Lockstep Platform ID number of this invoice; NOT
the customer's ERP key
include : str
To fetch additional data on this object, specify the list of
elements to retrieve. Available collections: Addresses,
Lines, Payments, Notes, Attachments, Company, Customer,
CustomFields, CreditMemos
"""
path = f"/api/v1/Invoices/{id}"
return self.client.send_request("GET", path, None, {"id": id, "include": include})
def update_invoice(self, id: str, body: object) -> LockstepResponse:
"""
Updates an existing Invoice with the information supplied to
this PATCH call.
The PATCH method allows you to change specific values on the
object while leaving other values alone. As input you should
supply a list of field names and new values. If you do not
provide the name of a field, that field will remain unchanged.
This allows you to ensure that you are only updating the
specific fields desired. An Invoice represents a bill sent from
one company to another. The creator of the invoice is identified
by the `CompanyId` field, and the recipient of the invoice is
identified by the `CustomerId` field. Most invoices are uniquely
identified both by a Lockstep Platform ID number and a customer
ERP "key" that was generated by the system that originated the
invoice. Invoices have a total amount and a due date, and when
some payments have been made on the Invoice the `TotalAmount`
and the `OutstandingBalanceAmount` may be different.
Parameters
----------
id : str
The unique Lockstep Platform ID number of the invoice to
update; NOT the customer's ERP key
body : object
A list of changes to apply to this Invoice
"""
path = f"/api/v1/Invoices/{id}"
return self.client.send_request("PATCH", path, body, {"id": id, "body": body})
def delete_invoice(self, id: str) -> LockstepResponse:
"""
Deletes the Invoice referred to by this unique identifier. An
Invoice represents a bill sent from one company to another. The
creator of the invoice is identified by the `CompanyId` field,
and the recipient of the invoice is identified by the
`CustomerId` field. Most invoices are uniquely identified both
by a Lockstep Platform ID number and a customer ERP "key" that
was generated by the system that originated the invoice.
Invoices have a total amount and a due date, and when some
payments have been made on the Invoice the `TotalAmount` and the
`OutstandingBalanceAmount` may be different.
Parameters
----------
id : str
The unique Lockstep Platform ID number of the invoice to
delete; NOT the customer's ERP key
"""
path = f"/api/v1/Invoices/{id}"
return self.client.send_request("DELETE", path, None, {"id": id})
def create_invoices(self, body: list[InvoiceModel]) -> LockstepResponse:
"""
Creates one or more Invoices within this account and returns the
records as created.
An Invoice represents a bill sent from one company to another.
The creator of the invoice is identified by the `CompanyId`
field, and the recipient of the invoice is identified by the
`CustomerId` field. Most invoices are uniquely identified both
by a Lockstep Platform ID number and a customer ERP "key" that
was generated by the system that originated the invoice.
Invoices have a total amount and a due date, and when some
payments have been made on the Invoice the `TotalAmount` and the
`OutstandingBalanceAmount` may be different.
Parameters
----------
body : list[InvoiceModel]
The Invoices to create
"""
path = f"/api/v1/Invoices"
return self.client.send_request("POST", path, body, {"body": body})
def query_invoices(self, filter: str, include: str, order: str, pageSize: int, pageNumber: int) -> LockstepResponse:
"""
Queries Invoices for this account using the specified filtering,
sorting, nested fetch, and pagination rules requested.
More information on querying can be found on the [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
page on the Lockstep Developer website. An Invoice represents a
bill sent from one company to another. The creator of the
invoice is identified by the `CompanyId` field, and the
recipient of the invoice is identified by the `CustomerId`
field. Most invoices are uniquely identified both by a Lockstep
Platform ID number and a customer ERP "key" that was generated
by the system that originated the invoice. Invoices have a total
amount and a due date, and when some payments have been made on
the Invoice the `TotalAmount` and the `OutstandingBalanceAmount`
may be different.
Parameters
----------
filter : str
The filter for this query. See [Searchlight Query
Language](https://developer.lockstep.io/docs/querying-with-searchlight)
include : str
To fetch additional data on this object, specify the list of
elements to retrieve. Available collections: Addresses,
Lines, Payments, Notes, Attachments, Company, Customer,
CustomFields, CreditMemos
order : str
The sort order for this query. See See [Searchlight Query
Language](https://developer.lockstep.io/docs/querying-with-searchlight)
pageSize : int
The page size for results (default 200). See [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
pageNumber : int
The page number for results (default 0). See [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
"""
path = f"/api/v1/Invoices/query"
return self.client.send_request("GET", path, None, {"filter": filter, "include": include, "order": order, "pageSize": pageSize, "pageNumber": pageNumber})
def query_invoice_summary_view(self, filter: str, include: str, order: str, pageSize: int, pageNumber: int) -> LockstepResponse:
"""
Queries Invoices for this account using the specified filtering,
sorting, nested fetch, and pagination rules requested. Display
the results using the Invoice Summary View format.
More information on querying can be found on the [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
page on the Lockstep Developer website.
The Invoice Summary View represents a slightly different view of
the data and includes some extra fields that might be useful.
For more information, see the data format of the Invoice Summary
Model.
Parameters
----------
filter : str
The filter for this query. See [Searchlight Query
Language](https://developer.lockstep.io/docs/querying-with-searchlight)
include : str
To fetch additional data on this object, specify the list of
elements to retrieve. No collections are currently available
but may be offered in the future
order : str
The sort order for this query. See See [Searchlight Query
Language](https://developer.lockstep.io/docs/querying-with-searchlight)
pageSize : int
The page size for results (default 200). See [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
pageNumber : int
The page number for results (default 0). See [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
"""
path = f"/api/v1/Invoices/views/summary"
return self.client.send_request("GET", path, None, {"filter": filter, "include": include, "order": order, "pageSize": pageSize, "pageNumber": pageNumber})
def query_at_risk_invoice_summary_view(self, filter: str, include: str, order: str, pageSize: int, pageNumber: int) -> LockstepResponse:
"""
Queries At Risk Invoices for this account using the specified
filtering, sorting, nested fetch, and pagination rules
requested. Display the results using the At Risk Invoice Summary
View format.
More information on querying can be found on the [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
page on the Lockstep Developer website.
The At Risk Invoice Summary View represents a slightly different
view of the data and includes some extra fields that might be
useful. For more information, see the data format of the At Risk
Invoice Summary Model.
Parameters
----------
filter : str
The filter for this query. See [Searchlight Query
Language](https://developer.lockstep.io/docs/querying-with-searchlight)
include : str
To fetch additional data on this object, specify the list of
elements to retrieve. No collections are currently available
but may be offered in the future
order : str
The sort order for this query. See See [Searchlight Query
Language](https://developer.lockstep.io/docs/querying-with-searchlight)
pageSize : int
The page size for results (default 200). See [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
pageNumber : int
The page number for results (default 0). See [Searchlight
Query Language](https://developer.lockstep.io/docs/querying-with-searchlight)
"""
path = f"/api/v1/Invoices/views/at-risk-summary"
return self.client.send_request("GET", path, None, {"filter": filter, "include": include, "order": order, "pageSize": pageSize, "pageNumber": pageNumber})
| 48.99177
| 162
| 0.664847
| 1,502
| 11,905
| 5.252996
| 0.156458
| 0.034221
| 0.045627
| 0.055133
| 0.824842
| 0.817617
| 0.808112
| 0.808112
| 0.806717
| 0.806717
| 0
| 0.004568
| 0.264511
| 11,905
| 242
| 163
| 49.194215
| 0.896528
| 0.705418
| 0
| 0.230769
| 0
| 0
| 0.156476
| 0.073664
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0
| 0.076923
| 0
| 0.692308
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
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| 1
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| 0
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| 1
| 0
|
0
| 8
|
593d1f83943ea63d57062f1c21d4a2514ebbe2c2
| 8,525
|
py
|
Python
|
tests/test_lexer.py
|
joshuaskelly/wick
|
a539621300c6c01a78007b92451906146620575b
|
[
"MIT"
] | 4
|
2018-08-21T22:11:53.000Z
|
2020-04-13T14:30:30.000Z
|
tests/test_lexer.py
|
joshuaskelly/wick
|
a539621300c6c01a78007b92451906146620575b
|
[
"MIT"
] | null | null | null |
tests/test_lexer.py
|
joshuaskelly/wick
|
a539621300c6c01a78007b92451906146620575b
|
[
"MIT"
] | 1
|
2021-12-20T19:16:30.000Z
|
2021-12-20T19:16:30.000Z
|
import unittest
from wick.parser.lexer import Lexer, LexError, new_lexer
class TestLexer(unittest.TestCase):
def test_basic(self):
program = 'aba'
a_matches = 0
def increment_a(a):
nonlocal a_matches
a_matches += 1
return a
lexer = Lexer(program)
lexer.add_rule('a', lambda m: increment_a(m))
lexer.add_rule('b', lambda m: m)
self.assertEqual(a_matches, 0, 'There should be no "a" matches')
result = lexer.lex()
self.assertEqual(result, 'a', 'The match should be "a"')
self.assertEqual(a_matches, 1, 'There should be one "a" matches')
result = lexer.lex()
self.assertEqual(result, 'b', 'The match should be "b"')
self.assertEqual(a_matches, 1, 'There should be one "a" matches')
result = lexer.lex()
self.assertEqual(result, 'a', 'The match should be "a"')
self.assertEqual(a_matches, 2, 'There should be two "a" matches')
result = lexer.lex()
self.assertIsNone(result, 'Lex should yield None when finished')
result = lexer.lex()
self.assertIsNone(result, 'Lex should yield None when finished')
def test_raises_on_add_after_lex(self):
program = 'abbaa'
lexer = Lexer(program)
lexer.add_rule('a', lambda m: m)
lexer.lex()
with self.assertRaises(LexError):
lexer.add_rule('b', lambda m: m)
def test_raises_on_lex_with_no_rules(self):
program = 'aabb'
lexer = Lexer(program)
with self.assertRaises(LexError):
lexer.lex()
def test_single_line_comment(self):
program = '// Single line comment.'
lexer = new_lexer(program)
token = lexer.lex()
self.assertIsNotNone(token, 'Token should not be None')
self.assertEqual(token.type, 'comment', 'The type should be comment')
self.assertEqual(token.value, '// Single line comment.', 'Value should be "// Single line comment."')
def test_multi_line_comment(self):
program = """/*
* Multi-line comment
*/"""
lexer = new_lexer(program)
token = lexer.lex()
self.assertIsNotNone(token, 'Token should not be None')
self.assertEqual(token.type, 'comment', 'The type should be comment')
self.assertEqual(token.value, program, 'Value should be equal')
def test_numbers(self):
program = '0 12345'
lexer = new_lexer(program)
token = lexer.lex()
self.assertEqual(token.type, 'number', 'Type should be "number"')
self.assertEqual(token.value, '0', 'Value should be 0')
token = lexer.lex()
self.assertEqual(token.type, 'number', 'Type should be "number"')
self.assertEqual(token.value, '12345', 'Value should be 12345')
def test_type(self):
program = 'char signed char unsigned char bool short unsigned short int unsigned int long unsigned long float long long unsigned long long double'
lexer = new_lexer(program)
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'char', 'Value should be "char"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'signed char', 'Value should be "signed char"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'unsigned char', 'Value should be "unsigned char"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'bool', 'Value should be "bool"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'short', 'Value should be "short"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'unsigned short', 'Value should be "unsigned short"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'int', 'Value should be "int"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'unsigned int', 'Value should be "unsigned int"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'long', 'Value should be "long"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'unsigned long', 'Value should be "unsigned long"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'float', 'Value should be "float"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'long long', 'Value should be "long long"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'unsigned long long', 'Value should be "unsigned long long"')
token = lexer.lex()
self.assertEqual(token.type, 'type', 'Type should be type')
self.assertEqual(token.value, 'double', 'Value should be "double"')
token = lexer.lex()
self.assertIsNone(token, 'Value should be None')
def test_verify_whitespace_skip(self):
program = """ 1
2
"""
lexer = new_lexer(program)
token = lexer.lex()
self.assertEqual(token.value, '1', 'Value should be "1"')
token = lexer.lex()
self.assertEqual(token.value, '2', 'Value should be "2"')
def test_names(self):
program = 'int flag'
lexer = new_lexer(program)
token = lexer.lex()
self.assertEqual(token.value, 'int', 'Value should be "int"')
token = lexer.lex()
self.assertEqual(token.type, 'name', 'Type should be "name"')
self.assertEqual(token.value, 'flag', 'Value should be "flag"')
def test_operators(self):
program = '{ } [ ] ; ,'
lexer = new_lexer(program)
token = lexer.lex()
self.assertEqual(token.type, 'operator', 'Type should be "operator"')
self.assertEqual(token.value, '{', 'Value should be "{"')
token = lexer.lex()
self.assertEqual(token.type, 'operator', 'Type should be "operator"')
self.assertEqual(token.value, '}', 'Value should be "}"')
token = lexer.lex()
self.assertEqual(token.type, 'operator', 'Type should be "operator"')
self.assertEqual(token.value, '[', 'Value should be "["')
token = lexer.lex()
self.assertEqual(token.type, 'operator', 'Type should be "operator"')
self.assertEqual(token.value, ']', 'Value should be "]"')
token = lexer.lex()
self.assertEqual(token.type, 'operator', 'Type should be "operator"')
self.assertEqual(token.value, ';', 'Value should be ";"')
token = lexer.lex()
self.assertEqual(token.type, 'operator', 'Type should be "operator"')
self.assertEqual(token.value, ',', 'Value should be ","')
token = lexer.lex()
self.assertIsNone(token, 'Value should be None')
def test_struct(self):
program = """
struct foo {
int x;
};
"""
lexer = new_lexer(program)
token = lexer.lex()
self.assertEqual(token.value, 'struct', 'Value should be "struct"')
token = lexer.lex()
self.assertEqual(token.value, 'foo', 'Value should be "foo"')
token = lexer.lex()
self.assertEqual(token.value, '{', 'Value should be "{"')
token = lexer.lex()
self.assertEqual(token.value, 'int', 'Value should be "int"')
token = lexer.lex()
self.assertEqual(token.value, 'x', 'Value should be "x"')
token = lexer.lex()
self.assertEqual(token.value, ';', 'Value should be ";"')
token = lexer.lex()
self.assertEqual(token.value, '}', 'Value should be "}"')
token = lexer.lex()
self.assertEqual(token.value, ';', 'Value should be ";"')
token = lexer.lex()
self.assertIsNone(token, 'Value should be None')
if __name__ == '__main__':
unittest.main()
| 38.058036
| 154
| 0.607038
| 1,038
| 8,525
| 4.931599
| 0.085742
| 0.110959
| 0.238328
| 0.129517
| 0.759328
| 0.741551
| 0.731002
| 0.706974
| 0.706974
| 0.692518
| 0
| 0.004705
| 0.252082
| 8,525
| 223
| 155
| 38.2287
| 0.798149
| 0
| 0
| 0.606742
| 0
| 0.005618
| 0.272258
| 0
| 0
| 0
| 0
| 0
| 0.432584
| 1
| 0.067416
| false
| 0
| 0.011236
| 0
| 0.089888
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3ca55573a2a489b522a0caad5ade5e7d88d7cf5a
| 1,906
|
py
|
Python
|
pytorchrl/envs/pybullet/pybullet_env_factory.py
|
BY571/pytorchrl
|
2843d088cc90cbf2ca325ccd35550695288ced00
|
[
"MIT"
] | null | null | null |
pytorchrl/envs/pybullet/pybullet_env_factory.py
|
BY571/pytorchrl
|
2843d088cc90cbf2ca325ccd35550695288ced00
|
[
"MIT"
] | null | null | null |
pytorchrl/envs/pybullet/pybullet_env_factory.py
|
BY571/pytorchrl
|
2843d088cc90cbf2ca325ccd35550695288ced00
|
[
"MIT"
] | null | null | null |
import gym
import pybullet_envs
from ..common import FrameStack, FrameSkip
def pybullet_train_env_factory(env_id, index_worker=0, index_env=0, seed=0, frame_skip=0, frame_stack=1):
"""
Create train PyBullet environment.
Parameters
----------
env_id : str
Environment name.
index_worker : int
Index of the worker running this environment.
index_env : int
Index of this environment withing the vector of environments.
seed : int
Environment random seed.
frame_skip : int
Return only every `frame_skip`-th observation.
frame_stack : int
Observations composed of last `frame_stack` frames stacked.
Returns
-------
env : gym.Env
Train environment.
"""
env = gym.make(env_id)
env.seed(seed + index_worker + index_env)
if frame_skip > 0:
env = FrameSkip(env, skip=frame_skip)
if frame_stack > 1:
env = FrameStack(env, k=frame_stack)
return env
def pybullet_test_env_factory(env_id, index_worker=0, index_env=0, seed=0, frame_skip=0, frame_stack=1):
"""
Create test PyBullet environment.
Parameters
----------
env_id : str
Environment name.
index_worker : int
Index of the worker running this environment.
index_env : int
Index of this environment withing the vector of environments.
seed : int
Environment random seed.
frame_skip : int
Return only every `frame_skip`-th observation.
frame_stack : int
Observations composed of last `frame_stack` frames stacked.
Returns
-------
env : gym.Env
Test environment.
"""
env = gym.make(env_id)
env.seed(seed + index_worker + index_env)
if frame_skip > 0:
env = FrameSkip(env, skip=frame_skip)
if frame_stack > 1:
env = FrameStack(env, k=frame_stack)
return env
| 25.078947
| 105
| 0.643232
| 248
| 1,906
| 4.762097
| 0.201613
| 0.076207
| 0.03387
| 0.025402
| 0.906012
| 0.906012
| 0.906012
| 0.906012
| 0.906012
| 0.906012
| 0
| 0.010079
| 0.271249
| 1,906
| 75
| 106
| 25.413333
| 0.840173
| 0.510493
| 0
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.105263
| false
| 0
| 0.157895
| 0
| 0.368421
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3ca8cee5a580910da62d8e3741270a0b28328e57
| 2,312
|
py
|
Python
|
tests/test_basics.py
|
salihtuc/storage-library-api
|
f289ca89ce6fd55e26f24adf2886d821a065b2bc
|
[
"MIT"
] | null | null | null |
tests/test_basics.py
|
salihtuc/storage-library-api
|
f289ca89ce6fd55e26f24adf2886d821a065b2bc
|
[
"MIT"
] | null | null | null |
tests/test_basics.py
|
salihtuc/storage-library-api
|
f289ca89ce6fd55e26f24adf2886d821a065b2bc
|
[
"MIT"
] | null | null | null |
from unittest import TestCase
from models import Record
from destinations import FileDestination, S3Destination
from formats import JsonFormat, XMLFormat
class TestBasicsJsonFile(TestCase):
def setUp(self):
some_dict = {'a': 5, 'b': '4'}
self.record = Record('sample', some_dict)
self.dest = FileDestination()
self.json_format = JsonFormat()
def test_simple_operation(self):
record_name = self.dest.store(self.record, self.json_format)
self.assertEqual(record_name, self.record.name)
record_obj = self.dest.parse(record_name, self.json_format)
self.assertTrue(self.record.attrs, record_obj.attrs)
class TestBasicsXMLFile(TestCase):
def setUp(self):
some_dict = {'a': 5, 'b': '4'}
self.record = Record('sample', some_dict)
self.dest = FileDestination()
self.xml_format = XMLFormat()
def test_simple_operation(self):
record_name = self.dest.store(self.record, self.xml_format)
self.assertEqual(record_name, self.record.name)
record_obj = self.dest.parse(record_name, self.xml_format)
self.assertTrue(self.record.attrs, record_obj.attrs)
class TestBasicsJsonS3(TestCase):
def setUp(self):
some_dict = {'a': 5, 'b': '4'}
self.record = Record('sample', some_dict)
self.dest = S3Destination('<aws_key>', '<aws_secret>', '<bucket_name>')
self.json_format = JsonFormat()
def test_simple_operation(self):
record_name = self.dest.store(self.record, self.json_format)
self.assertEqual(record_name, self.record.name)
record_obj = self.dest.parse(record_name, self.json_format)
self.assertTrue(self.record.attrs, record_obj.attrs)
class TestBasicsXMLS3(TestCase):
def setUp(self):
some_dict = {'a': 5, 'b': '4'}
self.record = Record('sample', some_dict)
self.dest = S3Destination('<aws_key>', '<aws_secret>', '<bucket_name>')
self.xml_format = XMLFormat()
def test_simple_operation(self):
record_name = self.dest.store(self.record, self.xml_format)
self.assertEqual(record_name, self.record.name)
record_obj = self.dest.parse(record_name, self.xml_format)
self.assertTrue(self.record.attrs, record_obj.attrs)
| 30.025974
| 79
| 0.67128
| 290
| 2,312
| 5.165517
| 0.155172
| 0.133511
| 0.11215
| 0.053405
| 0.863151
| 0.863151
| 0.863151
| 0.863151
| 0.863151
| 0.863151
| 0
| 0.007073
| 0.205017
| 2,312
| 76
| 80
| 30.421053
| 0.807943
| 0
| 0
| 0.833333
| 0
| 0
| 0.044983
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.083333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3ceaf757a4a9ba8ec3f0e7a41102e00bf16e21bf
| 228
|
py
|
Python
|
optimal-road-trip/runtime_timer.py
|
YoungMaker/Machine-Learning-Analysis-With-CUDA
|
f67cdce6d47a341bab55c20057bb939929c98dc3
|
[
"Unlicense",
"CC-BY-4.0",
"MIT"
] | null | null | null |
optimal-road-trip/runtime_timer.py
|
YoungMaker/Machine-Learning-Analysis-With-CUDA
|
f67cdce6d47a341bab55c20057bb939929c98dc3
|
[
"Unlicense",
"CC-BY-4.0",
"MIT"
] | null | null | null |
optimal-road-trip/runtime_timer.py
|
YoungMaker/Machine-Learning-Analysis-With-CUDA
|
f67cdce6d47a341bab55c20057bb939929c98dc3
|
[
"Unlicense",
"CC-BY-4.0",
"MIT"
] | null | null | null |
import time
class runtimeTimer(object):
def __init__(self):
self.starttime = time.time()
def start(self):
self.starttime = time.time()
def stop(self):
return time.time() - self.starttime
| 16.285714
| 43
| 0.614035
| 27
| 228
| 5.037037
| 0.444444
| 0.286765
| 0.25
| 0.308824
| 0.411765
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 0.267544
| 228
| 14
| 43
| 16.285714
| 0.814371
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0.125
| 0.125
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
3cf4c16703e5e157dcb140305b96c4ebc06f80e0
| 177
|
py
|
Python
|
leonardo/extensions/ct_tracker.py
|
timgates42/django-leonardo
|
c155f97fee9e2be1e0f508d47a1c205028253ecc
|
[
"BSD-3-Clause"
] | 102
|
2015-04-30T12:27:14.000Z
|
2021-10-31T18:21:16.000Z
|
leonardo/extensions/ct_tracker.py
|
timgates42/django-leonardo
|
c155f97fee9e2be1e0f508d47a1c205028253ecc
|
[
"BSD-3-Clause"
] | 158
|
2015-04-30T22:42:34.000Z
|
2019-09-07T15:37:22.000Z
|
leonardo/extensions/ct_tracker.py
|
timgates42/django-leonardo
|
c155f97fee9e2be1e0f508d47a1c205028253ecc
|
[
"BSD-3-Clause"
] | 64
|
2015-05-10T12:00:39.000Z
|
2021-07-29T19:47:27.000Z
|
from leonardo.utils.compatibility import FEINCMS_2
if FEINCMS_2:
from feincms.extensions.ct_tracker import *
else:
from feincms.module.extensions.ct_tracker import *
| 19.666667
| 54
| 0.79096
| 24
| 177
| 5.666667
| 0.541667
| 0.117647
| 0.279412
| 0.367647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013245
| 0.146893
| 177
| 8
| 55
| 22.125
| 0.887417
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3cfde80fbcee38d768b5c1c4c8f36f74ddbee1ea
| 2,624
|
py
|
Python
|
app/api/routes/usage.py
|
translatorswb/Gateway-API
|
63780a3d03a8231f910c17018ebffdc6a60d1d2f
|
[
"MIT"
] | null | null | null |
app/api/routes/usage.py
|
translatorswb/Gateway-API
|
63780a3d03a8231f910c17018ebffdc6a60d1d2f
|
[
"MIT"
] | null | null | null |
app/api/routes/usage.py
|
translatorswb/Gateway-API
|
63780a3d03a8231f910c17018ebffdc6a60d1d2f
|
[
"MIT"
] | null | null | null |
from fastapi import APIRouter, Body, HTTPException
from app.api.database.database import query_usage
from app.api.models.models import ErrorResponseModel, ResponseModel
router = APIRouter()
SERVICES_LIST = ['translate'] #TODO: read from environment
@router.get("/{service_name}", response_description="Usage retrieved")
async def see_usage_for_service_client(service_name: str):
if service_name in SERVICES_LIST:
usage_query, status = await query_usage(service_name)
return ResponseModel(usage_query, "Usage data retrieved successfully") \
if usage_query \
else ErrorResponseModel("Usage not retrieved", 404, status['detail'])
else:
return ErrorResponseModel("Usage not retrieved", 404, "Service does not exist: %s"%service_name)
@router.get("/{service_name}/{client_name}", response_description="Usage retrieved")
async def see_usage_for_service_client(service_name: str, client_name: str):
if service_name in SERVICES_LIST:
usage_query, status = await query_usage(service_name, client_name)
return ResponseModel(usage_query, "Usage data retrieved successfully") \
if usage_query \
else ErrorResponseModel("Usage not retrieved", 404, status['detail'])
else:
return ErrorResponseModel("Usage not retrieved", 404, "Service does not exist: %s"%service_name)
@router.get("/{service_name}/{client_name}/{year}", response_description="Usage retrieved")
async def see_usage_for_service_client_year(service_name: str, client_name: str, year: int):
if service_name in SERVICES_LIST:
usage_query, status = await query_usage(service_name, client_name, year)
return ResponseModel(usage_query, "Usage data retrieved successfully") \
if usage_query \
else ErrorResponseModel("Usage not retrieved", 404, status['detail'])
else:
return ErrorResponseModel("Usage not retrieved", 404, "Service does not exist: %s"%service_name)
@router.get("/{service_name}/{client_name}/{year}/{month}", response_description="Usage retrieved")
async def see_usage_for_service_client_year(service_name: str, client_name: str, year: int, month: int):
if service_name in SERVICES_LIST:
usage_query, status = await query_usage(service_name, client_name, year, month)
return ResponseModel(usage_query, "Usage data retrieved successfully") \
if usage_query \
else ErrorResponseModel("Usage not retrieved", 404, status['detail'])
else:
return ErrorResponseModel("Usage not retrieved", 404, "Service does not exist: %s"%service_name)
| 54.666667
| 104
| 0.731326
| 326
| 2,624
| 5.662577
| 0.153374
| 0.119177
| 0.112676
| 0.151679
| 0.878657
| 0.878657
| 0.869989
| 0.869989
| 0.869989
| 0.869989
| 0
| 0.011019
| 0.16997
| 2,624
| 47
| 105
| 55.829787
| 0.836547
| 0.01029
| 0
| 0.585366
| 0
| 0
| 0.233051
| 0.041988
| 0
| 0
| 0
| 0.021277
| 0
| 1
| 0
| false
| 0
| 0.073171
| 0
| 0.268293
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 0
|
0
| 7
|
a70e5073e3815409d3e1976c2880f547ed065dd2
| 106
|
py
|
Python
|
Lib/urllib/robotparser.py
|
OlCe2/tauthon
|
7a0386f03c601663617b5ee1d1bd49e32dc9998c
|
[
"CNRI-Python-GPL-Compatible"
] | 473
|
2017-02-03T04:03:02.000Z
|
2022-02-12T17:44:25.000Z
|
Lib/urllib/robotparser.py
|
OlCe2/tauthon
|
7a0386f03c601663617b5ee1d1bd49e32dc9998c
|
[
"CNRI-Python-GPL-Compatible"
] | 70
|
2017-02-02T21:20:07.000Z
|
2022-02-04T15:32:45.000Z
|
Lib/urllib/robotparser.py
|
OlCe2/tauthon
|
7a0386f03c601663617b5ee1d1bd49e32dc9998c
|
[
"CNRI-Python-GPL-Compatible"
] | 37
|
2017-02-11T21:02:34.000Z
|
2020-11-16T10:51:45.000Z
|
from __future__ import absolute_import
from robotparser import *
from robotparser import __all__, __doc__
| 26.5
| 40
| 0.858491
| 13
| 106
| 6
| 0.538462
| 0.25641
| 0.538462
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122642
| 106
| 3
| 41
| 35.333333
| 0.83871
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
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| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
59704ac0f67b8ef9b5c8b70f4d49413c287b067b
| 7,604
|
py
|
Python
|
examples/lop/cs_operators.py
|
carnot-shailesh/cr-sparse
|
989ebead8a8ac37ade643093e1caa31ae2a3eda1
|
[
"Apache-2.0"
] | 42
|
2021-06-11T17:11:29.000Z
|
2022-03-29T11:51:44.000Z
|
examples/lop/cs_operators.py
|
carnot-shailesh/cr-sparse
|
989ebead8a8ac37ade643093e1caa31ae2a3eda1
|
[
"Apache-2.0"
] | 19
|
2021-06-04T11:36:11.000Z
|
2022-01-22T20:13:39.000Z
|
examples/lop/cs_operators.py
|
carnot-shailesh/cr-sparse
|
989ebead8a8ac37ade643093e1caa31ae2a3eda1
|
[
"Apache-2.0"
] | 5
|
2021-11-21T21:01:11.000Z
|
2022-02-28T07:20:03.000Z
|
"""
.. _gallery:lop:cs_operators:
Compressive Sensing Operators
===============================================
.. contents::
:depth: 2
:local:
"""
# %%
# Let's import necessary libraries
import jax.numpy as jnp
# Random numbers
from jax import random
# For plotting diagrams
import matplotlib.pyplot as plt
## CR-Sparse modules
import cr.nimble as cnb
# Linear operators
from cr.sparse import lop
# Some random number seeds
key = random.PRNGKey(0)
keys = random.split(key, 10)
# %%
# Rademacher sensing operators
# -----------------------------------------------------------------
# Size of the sensing matrix
m, n = 4, 8
# %%
# Unnormalized atoms / columns
# '''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.rademacher_dict(keys[0], m, n, normalize_atoms=False)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Let's print the contents of the adjoint matrix
print(lop.to_adjoint_matrix(Phi))
# %%
# Let's apply the forward operator
x = jnp.array([3, -2, 4, 8, 2, 2, 6, -1])
y = Phi.times(x)
print(y)
# %%
# Let's apply the adjoint operator
z = Phi.trans(y)
print(z)
# %%
# Let's JIT compile the trans and times functions
Phi = lop.jit(Phi)
# %%
# Let's verify the forward operator after JIT compile
x = jnp.array([3, -2, 4, 8, 2, 2, 6, -1])
y = Phi.times(x)
print(y)
# %%
# Let's verify the adjoint operator after JIT compile
z = Phi.trans(y)
print(z)
# %%
# Normalized atoms / columns
# '''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.rademacher_dict(keys[0], m, n, normalize_atoms=True)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Check the column wise norms
print(cnb.norms_l2_cw(lop.to_matrix(Phi)))
# %%
# Let's print the contents of the adjoint matrix
print(lop.to_adjoint_matrix(Phi))
# %%
# Let's apply the forward operator
x = jnp.array([3, -2, 4, 8, 2, 2, 6, -1])
y = Phi.times(x)
print(y)
# %%
# Let's apply the adjoint operator
z = Phi.trans(y)
print(z)
# %%
# Let's JIT compile the trans and times functions
Phi = lop.jit(Phi)
# %%
# Let's verify the forward operator after JIT compile
y = Phi.times(x)
print(y)
# %%
# Let's verify the adjoint operator after JIT compile
z = Phi.trans(y)
print(z)
# %%
# Column wise application on input
# '''''''''''''''''''''''''''''''''''''''
# Number of signals
k = 5
# %%
# Prepare a signal matrix
X = random.randint(keys[1], (n, k), -5, 5)
print(X)
# %%
# Let's apply the forward operator column wise
Y = Phi.times(X)
print(Y)
# %%
# Let's apply the adjoint operator column wise
Z = Phi.trans(Y)
print(Z)
# %%
# Row wise application on input
# '''''''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.rademacher_dict(keys[0], m, n, normalize_atoms=True, axis=1)
# %%
# Prepare a signal matrix with each signal along a row
XT = X.T
# %%
# Let's apply the forward operator column wise
Y = Phi.times(XT)
print(Y)
# %%
# Let's apply the adjoint operator column wise
Z = Phi.trans(Y)
print(Z)
# %%
# Square sensing matrix
# '''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.rademacher_dict(keys[0], n, normalize_atoms=False)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Gaussian sensing operators
# -----------------------------------------------------------------
# %%
# Unnormalized atoms / columns
# '''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.gaussian_dict(keys[0], m, n, normalize_atoms=False)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Let's print the contents of the adjoint matrix
print(lop.to_adjoint_matrix(Phi))
# %%
# Let's apply the forward operator
x = jnp.array([3, -2, 4, 8, 2, 2, 6, -1])
y = Phi.times(x)
print(y)
# %%
# Let's apply the adjoint operator
z = Phi.trans(y)
print(z)
# %%
# Let's JIT compile the trans and times functions
Phi = lop.jit(Phi)
# %%
# Let's verify the forward operator after JIT compile
x = jnp.array([3, -2, 4, 8, 2, 2, 6, -1])
y = Phi.times(x)
print(y)
# %%
# Let's verify the adjoint operator after JIT compile
z = Phi.trans(y)
print(z)
# %%
# Normalized atoms / columns
# '''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.gaussian_dict(keys[0], m, n, normalize_atoms=True)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Check the column wise norms
print(cnb.norms_l2_cw(lop.to_matrix(Phi)))
# %%
# Let's print the contents of the adjoint matrix
print(lop.to_adjoint_matrix(Phi))
# %%
# Let's apply the forward operator
x = jnp.array([3, -2, 4, 8, 2, 2, 6, -1])
y = Phi.times(x)
print(y)
# %%
# Let's apply the adjoint operator
z = Phi.trans(y)
print(z)
# %%
# Let's JIT compile the trans and times functions
Phi = lop.jit(Phi)
# %%
# Let's verify the forward operator after JIT compile
y = Phi.times(x)
print(y)
# %%
# Let's verify the adjoint operator after JIT compile
z = Phi.trans(y)
print(z)
# %%
# Column wise application on input
# '''''''''''''''''''''''''''''''''''''''
# Number of signals
k = 5
# %%
# Prepare a signal matrix
X = random.randint(keys[1], (n, k), -5, 5)
print(X)
# %%
# Let's apply the forward operator column wise
Y = Phi.times(X)
print(Y)
# %%
# Let's apply the adjoint operator column wise
Z = Phi.trans(Y)
print(Z)
# %%
# Row wise application on input
# '''''''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.gaussian_dict(keys[0], m, n, normalize_atoms=True, axis=1)
# %%
# Prepare a signal matrix with each signal along a row
XT = X.T
# %%
# Let's apply the forward operator column wise
Y = Phi.times(XT)
print(Y)
# %%
# Let's apply the adjoint operator column wise
Z = Phi.trans(Y)
print(Z)
# %%
# Square sensing matrix
# '''''''''''''''''''''''''''''''''''
# Construct the operator wrapping the sensing matrix
Phi = lop.gaussian_dict(keys[0], n, normalize_atoms=False)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Random matrix with orthonormal rows
# -----------------------------------------------------------------
# Construct the operator wrapping the sensing matrix
Phi = lop.random_orthonormal_rows_dict(keys[0], m, n)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Check the row wise norms
print(cnb.norms_l2_rw(lop.to_matrix(Phi)))
# %%
# Let's apply the forward operator column wise
Y = Phi.times(X)
print(Y)
# %%
# Let's apply the adjoint operator column wise
Z = Phi.trans(Y)
print(Z)
# %%
# The frame operator
F = lop.frame(Phi)
# %%
# Check that it's close to identity matrix
print(jnp.round(lop.to_matrix(F),2))
# %%
# Random orthonormal basis operator
# -----------------------------------------------------------------
# Construct the operator wrapping the sensing matrix
Phi = lop.random_onb_dict(keys[0], n)
# %%
# Let's print the contents of the matrix
print(lop.to_matrix(Phi))
# %%
# Check the row wise norms
print(cnb.norms_l2_rw(lop.to_matrix(Phi)))
# %%
# Check the column wise norms
print(cnb.norms_l2_cw(lop.to_matrix(Phi)))
# %%
# Let's apply the forward operator column wise
Y = Phi.times(X)
print(Y)
# %%
# Let's apply the adjoint operator column wise
Z = Phi.trans(Y)
print(Z)
# %%
# The gram operator
G = lop.gram(Phi)
# %%
# Check that it's close to identity matrix
print(jnp.round(lop.to_matrix(G),2))
# %%
# The frame operator
F = lop.frame(Phi)
# %%
# Check that it's close to identity matrix
print(jnp.round(lop.to_matrix(F),2))
| 23.541796
| 70
| 0.62888
| 1,174
| 7,604
| 4.024702
| 0.10477
| 0.038095
| 0.038095
| 0.050794
| 0.89291
| 0.890794
| 0.890794
| 0.890794
| 0.890794
| 0.890794
| 0
| 0.012777
| 0.155971
| 7,604
| 322
| 71
| 23.614907
| 0.723434
| 0.59232
| 0
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.043478
| 0
| 0.043478
| 0.434783
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
5997d6db36df7aa1f1e606317de48d6a7db4c141
| 20,838
|
py
|
Python
|
photutils/aperture_funcs.py
|
hamogu/photutils
|
d032c703260482aa57fc76c1adb7d244b376c39a
|
[
"BSD-3-Clause"
] | null | null | null |
photutils/aperture_funcs.py
|
hamogu/photutils
|
d032c703260482aa57fc76c1adb7d244b376c39a
|
[
"BSD-3-Clause"
] | 1
|
2016-02-19T14:00:04.000Z
|
2016-02-19T14:00:04.000Z
|
photutils/aperture_funcs.py
|
hamogu/photutils
|
d032c703260482aa57fc76c1adb7d244b376c39a
|
[
"BSD-3-Clause"
] | null | null | null |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Functions for performing aperture photometry on 2-D arrays."""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
import math
import warnings
import astropy.units as u
from astropy.utils.exceptions import AstropyUserWarning
__all__ = []
def do_circular_photometry(data, positions, extents, radius,
error, gain, pixelwise_error, method, subpixels):
ood_filter = extents['ood_filter']
extent = extents['pixel_extent']
phot_extent = extents['phot_extent']
flux = u.Quantity(np.zeros(len(positions), dtype=np.float), unit=data.unit)
if error is not None:
fluxvar = u.Quantity(np.zeros(len(positions), dtype=np.float),
unit=error.unit ** 2)
# TODO: flag these objects
if np.sum(ood_filter):
flux[ood_filter] = np.nan
warnings.warn("The aperture at position {0} does not have any "
"overlap with the data"
.format(positions[ood_filter]),
AstropyUserWarning)
if np.sum(ood_filter) == len(positions):
return (flux, )
x_min, x_max, y_min, y_max = extent
x_pmin, x_pmax, y_pmin, y_pmax = phot_extent
if method == 'center':
for i in range(len(flux)):
x_size = ((x_pmax[i] - x_pmin[i]) /
data[:, x_min[i]:x_max[i]].shape[1])
y_size = ((y_pmax[i] - y_pmin[i]) /
data[y_min[i]:y_max[i], :].shape[0])
x_centers = np.arange(x_pmin[i] + x_size / 2.,
x_pmax[i], x_size)
y_centers = np.arange(y_pmin[i] + y_size / 2.,
y_pmax[i], y_size)
xx, yy = np.meshgrid(x_centers, y_centers)
if not np.isnan(flux[i]):
if error is None:
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] *
(xx * xx + yy * yy < radius * radius))
else:
fraction = (xx * xx + yy * yy < radius * radius)
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] * fraction)
if pixelwise_error:
subvariance = error[y_min[i]:y_max[i],
x_min[i]:x_max[i]] ** 2
if gain is not None:
subvariance += (data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] /
gain[y_min[i]:y_max[i],
x_min[i]:x_max[i]])
# Make sure variance is > 0
fluxvar[i] = max(np.sum(subvariance * fraction), 0)
else:
local_error = error[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] = max(local_error ** 2 * np.sum(fraction), 0)
if gain is not None:
local_gain = gain[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] += flux[i] / local_gain
elif method == 'subpixel':
from .geometry import circular_overlap_grid
for i in range(len(flux)):
if not np.isnan(flux[i]):
if error is None:
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] *
circular_overlap_grid(x_pmin[i], x_pmax[i],
y_pmin[i], y_pmax[i],
x_max[i] - x_min[i],
y_max[i] - y_min[i],
radius, 0,
subpixels))
else:
fraction = circular_overlap_grid(x_pmin[i], x_pmax[i],
y_pmin[i], y_pmax[i],
x_max[i] - x_min[i],
y_max[i] - y_min[i],
radius, 0, subpixels)
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] * fraction)
if pixelwise_error:
subvariance = error[y_min[i]:y_max[i],
x_min[i]:x_max[i]] ** 2
if gain is not None:
subvariance += (data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] /
gain[y_min[i]:y_max[i],
x_min[i]:x_max[i]])
# Make sure variance is > 0
fluxvar[i] = max(np.sum(subvariance * fraction), 0)
else:
local_error = error[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] = max(local_error ** 2 * np.sum(fraction), 0)
if gain is not None:
local_gain = gain[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] += flux[i] / local_gain
elif method == 'exact':
from .geometry import circular_overlap_grid
for i in range(len(flux)):
if not np.isnan(flux[i]):
if error is None:
flux[i] = np.sum(data[y_min[i]:y_max[i], x_min[i]:x_max[i]] *
circular_overlap_grid(x_pmin[i], x_pmax[i],
y_pmin[i], y_pmax[i],
x_max[i] - x_min[i],
y_max[i] - y_min[i],
radius, 1, 1))
else:
fraction = circular_overlap_grid(x_pmin[i], x_pmax[i],
y_pmin[i], y_pmax[i],
x_max[i] - x_min[i],
y_max[i] - y_min[i],
radius, 1, 1)
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] * fraction)
if pixelwise_error:
subvariance = error[y_min[i]:y_max[i],
x_min[i]:x_max[i]] ** 2
if gain is not None:
subvariance += (data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] /
gain[y_min[i]:y_max[i],
x_min[i]:x_max[i]])
# Make sure variance is > 0
fluxvar[i] = max(np.sum(subvariance * fraction), 0)
else:
local_error = error[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] = max(local_error ** 2 * np.sum(fraction), 0)
if gain is not None:
local_gain = gain[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] += flux[i] / local_gain
if error is None:
return (flux, )
else:
return (flux, np.sqrt(fluxvar))
def do_elliptical_photometry(data, positions, extents, a, b, theta,
error, gain, pixelwise_error, method, subpixels):
ood_filter = extents['ood_filter']
extent = extents['pixel_extent']
phot_extent = extents['phot_extent']
flux = u.Quantity(np.zeros(len(positions), dtype=np.float), unit=data.unit)
if error is not None:
fluxvar = u.Quantity(np.zeros(len(positions), dtype=np.float),
unit=error.unit ** 2)
# TODO: flag these objects
if np.sum(ood_filter):
flux[ood_filter] = np.nan
warnings.warn("The aperture at position {0} does not have any "
"overlap with the data"
.format(positions[ood_filter]),
AstropyUserWarning)
if np.sum(ood_filter) == len(positions):
return (flux, )
x_min, x_max, y_min, y_max = extent
x_pmin, x_pmax, y_pmin, y_pmax = phot_extent
if method == 'center' or method == 'subpixel':
if method == 'center': subpixels = 1
if method == 'subpixel': from imageutils import downsample
for i in range(len(flux)):
x_size = ((x_pmax[i] - x_pmin[i]) /
(data[:, x_min[i]:x_max[i]].shape[1] * subpixels))
y_size = ((y_pmax[i] - y_pmin[i]) /
(data[y_min[i]:y_max[i], :].shape[0] * subpixels))
x_centers = np.arange(x_pmin[i] + x_size / 2.,
x_pmax[i], x_size)
y_centers = np.arange(y_pmin[i] + y_size / 2.,
y_pmax[i], y_size)
xx, yy = np.meshgrid(x_centers, y_centers)
numerator1 = (xx * math.cos(theta) + yy * math.sin(theta))
numerator2 = (yy * math.cos(theta) - xx * math.sin(theta))
in_aper = ((((numerator1 / a) ** 2 +
(numerator2 / b) ** 2) < 1.).astype(float)
/ subpixels ** 2)
if method == 'center':
if not np.isnan(flux[i]):
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] * in_aper)
if error is not None:
if pixelwise_error:
subvariance = error[y_min[i]:y_max[i],
x_min[i]:x_max[i]] ** 2
if gain is not None:
subvariance += (data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] /
gain[y_min[i]:y_max[i],
x_min[i]:x_max[i]])
# Make sure variance is > 0
fluxvar[i] = max(np.sum(subvariance * in_aper), 0)
else:
local_error = error[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] = max(local_error ** 2 * np.sum(in_aper), 0)
if gain is not None:
local_gain = gain[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] += flux[i] / local_gain
else:
if not np.isnan(flux[i]):
if error is None:
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] *
downsample(in_aper, subpixels))
else:
fraction = downsample(in_aper, subpixels)
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] * fraction)
if pixelwise_error:
subvariance = error[y_min[i]:y_max[i],
x_min[i]:x_max[i]] ** 2
if gain is not None:
subvariance += (data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] /
gain[y_min[i]:y_max[i],
x_min[i]:x_max[i]])
# Make sure variance is > 0
fluxvar[i] = max(np.sum(subvariance * fraction), 0)
else:
local_error = error[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] = max(local_error ** 2 * np.sum(fraction), 0)
if gain is not None:
local_gain = gain[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] += flux[i] / local_gain
elif method == 'exact':
from .geometry import elliptical_overlap_grid
for i in range(len(flux)):
x_edges = np.linspace(x_pmin[i], x_pmax[i],
data[:, x_min[i]:x_max[i]].shape[1] + 1)
y_edges = np.linspace(y_pmin[i], y_pmax[i],
data[y_min[i]:y_max[i], :].shape[0] + 1)
if flux[i] is not np.nan:
if error is None:
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] *
elliptical_overlap_grid(x_edges, y_edges,
a, b, theta))
else:
fraction = elliptical_overlap_grid(x_edges, y_edges,
a, b, theta)
flux[i] = np.sum(data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] * fraction)
if pixelwise_error:
subvariance = error[y_min[i]:y_max[i],
x_min[i]:x_max[i]] ** 2
if gain is not None:
subvariance += (data[y_min[i]:y_max[i],
x_min[i]:x_max[i]] /
gain[y_min[i]:y_max[i],
x_min[i]:x_max[i]])
# Make sure variance is > 0
fluxvar[i] = max(np.sum(subvariance * fraction), 0)
else:
local_error = error[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] = max(local_error ** 2 * np.sum(fraction), 0)
if gain is not None:
local_gain = gain[int((y_min[i] + y_max[i]) / 2 + 0.5),
int((x_min[i] + x_max[i]) / 2 + 0.5)]
fluxvar[i] += flux[i] / local_gain
if error is None:
return (flux, )
else:
return (flux, np.sqrt(fluxvar))
def do_annulus_photometry(data, positions, mode, extents,
inner_params, outer_params,
error=None, gain=None, pixelwise_error=True,
method='exact', subpixels=5):
if mode == 'circular':
if error is None:
flux_outer = do_circular_photometry(data, positions, extents,
*outer_params, error=error,
pixelwise_error=pixelwise_error,
method=method, gain=gain,
subpixels=subpixels)
flux_inner = do_circular_photometry(data, positions, extents,
*inner_params, error=error,
pixelwise_error=pixelwise_error,
method=method, gain=gain,
subpixels=subpixels)
else:
flux_outer, fluxerr_o = do_circular_photometry(data, positions,
extents,
*outer_params,
error=error,
gain=gain,
pixelwise_error=pixelwise_error,
method=method,
subpixels=subpixels)
flux_inner, fluxerr_i = do_circular_photometry(data, positions,
extents,
*inner_params,
error=error,
gain=gain,
pixelwise_error=pixelwise_error,
method=method,
subpixels=subpixels)
fluxvar = max((fluxerr_o ** 2 - fluxerr_i ** 2), 0)
elif mode == 'elliptical':
if error is None:
flux_inner = do_elliptical_photometry(data, positions, extents,
*inner_params, error=error,
pixelwise_error=pixelwise_error,
method=method, gain=gain,
subpixels=subpixels)
flux_outer = do_elliptical_photometry(data, positions, extents,
*outer_params, error=error,
pixelwise_error=pixelwise_error,
method=method, gain=gain,
subpixels=subpixels)
else:
flux_inner, fluxerr_i = do_elliptical_photometry(data, positions,
extents,
*inner_params,
error=error,
gain=gain,
pixelwise_error=pixelwise_error,
method=method,
subpixels=subpixels)
flux_outer, fluxerr_o = do_elliptical_photometry(data, positions,
extents,
*outer_params,
error=error,
gain=gain,
pixelwise_error=pixelwise_error,
method=method,
subpixels=subpixels)
fluxvar = max((fluxerr_o ** 2 - fluxerr_i ** 2), 0)
else:
raise ValueError('{0} mode is not supported for annular photometry'
'{1}'.format(mode))
if error is None:
flux = flux_outer[0] - flux_inner[0]
return (flux, )
else:
flux = flux_outer - flux_inner
return (flux, np.sqrt(fluxvar))
| 53.022901
| 93
| 0.368078
| 2,112
| 20,838
| 3.429924
| 0.069602
| 0.053009
| 0.033131
| 0.039757
| 0.861541
| 0.841938
| 0.819989
| 0.819851
| 0.815848
| 0.815848
| 0
| 0.015011
| 0.533257
| 20,838
| 392
| 94
| 53.158163
| 0.729796
| 0.01574
| 0
| 0.811765
| 0
| 0
| 0.016297
| 0
| 0
| 0
| 0
| 0.002551
| 0
| 1
| 0.008824
| false
| 0
| 0.029412
| 0
| 0.061765
| 0.002941
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
abe907a747d80fce5f83ec8e05d93b5bcec47812
| 188
|
py
|
Python
|
home/pedrosenarego/googeCalendar/cmd.py
|
rv8flyboy/pyrobotlab
|
4e04fb751614a5cb6044ea15dcfcf885db8be65a
|
[
"Apache-2.0"
] | 63
|
2015-02-03T18:49:43.000Z
|
2022-03-29T03:52:24.000Z
|
home/pedrosenarego/googeCalendar/cmd.py
|
hirwaHenryChristian/pyrobotlab
|
2debb381fc2db4be1e7ea6e5252a50ae0de6f4a9
|
[
"Apache-2.0"
] | 16
|
2016-01-26T19:13:29.000Z
|
2018-11-25T21:20:51.000Z
|
home/pedrosenarego/googeCalendar/cmd.py
|
hirwaHenryChristian/pyrobotlab
|
2debb381fc2db4be1e7ea6e5252a50ae0de6f4a9
|
[
"Apache-2.0"
] | 151
|
2015-01-03T18:55:54.000Z
|
2022-03-04T07:04:23.000Z
|
#!/usr/bin/env python
import subprocess
subprocess.call("cd /home/pedro/Dropbox/pastaPessoal/3Dprinter/inmoov/scripts/googlecalandar && gnome-terminal -x python event.py", shell=True)
| 26.857143
| 143
| 0.781915
| 25
| 188
| 5.88
| 0.92
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005814
| 0.085106
| 188
| 7
| 144
| 26.857143
| 0.848837
| 0.106383
| 0
| 0
| 0
| 0.5
| 0.666667
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 8
|
e6614d5765ee6bb942e877fd8546f882d088bae7
| 376
|
py
|
Python
|
terrascript/resource/turbot.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/resource/turbot.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/resource/turbot.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/resource/turbot.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:29:24 UTC)
#
# For imports without namespace, e.g.
#
# >>> import terrascript.resource.turbot
#
# instead of
#
# >>> import terrascript.resource.turbot.turbot
#
# This is only available for 'official' and 'partner' providers.
from terrascript.resource.turbot.turbot import *
| 25.066667
| 73
| 0.742021
| 49
| 376
| 5.693878
| 0.673469
| 0.272401
| 0.358423
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.036923
| 0.135638
| 376
| 14
| 74
| 26.857143
| 0.821538
| 0.800532
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
05000a28d44b3b5d115c3fafc1acca0b1e2720ec
| 72
|
py
|
Python
|
smoke/data/__init__.py
|
SmallMunich/Smoke
|
591a03bdb5cad962999914c9a97c7a8bed9e529b
|
[
"MIT"
] | 465
|
2020-03-03T09:25:16.000Z
|
2022-03-30T09:34:34.000Z
|
smoke/data/__init__.py
|
SmallMunich/Smoke
|
591a03bdb5cad962999914c9a97c7a8bed9e529b
|
[
"MIT"
] | 65
|
2020-03-13T12:45:29.000Z
|
2022-03-28T08:09:21.000Z
|
smoke/data/__init__.py
|
SmallMunich/Smoke
|
591a03bdb5cad962999914c9a97c7a8bed9e529b
|
[
"MIT"
] | 160
|
2020-03-04T06:09:17.000Z
|
2022-03-30T02:31:38.000Z
|
from .build import make_data_loader
from .build import build_test_loader
| 36
| 36
| 0.875
| 12
| 72
| 4.916667
| 0.583333
| 0.305085
| 0.508475
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097222
| 72
| 2
| 36
| 36
| 0.907692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
552b621375adbd654327d2cd14fe6c7b6fe50d02
| 3,823
|
py
|
Python
|
Kode_calendar/migrations/0001_initial.py
|
all4one-max/code-calendar-public
|
ffbcee1a6006097156ed213c3ecc9771ce69f636
|
[
"Apache-2.0"
] | null | null | null |
Kode_calendar/migrations/0001_initial.py
|
all4one-max/code-calendar-public
|
ffbcee1a6006097156ed213c3ecc9771ce69f636
|
[
"Apache-2.0"
] | null | null | null |
Kode_calendar/migrations/0001_initial.py
|
all4one-max/code-calendar-public
|
ffbcee1a6006097156ed213c3ecc9771ce69f636
|
[
"Apache-2.0"
] | 1
|
2021-05-23T16:26:43.000Z
|
2021-05-23T16:26:43.000Z
|
# Generated by Django 3.1.7 on 2021-03-24 12:02
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='atcoder',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
migrations.CreateModel(
name='codechef',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
migrations.CreateModel(
name='codeforces',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
migrations.CreateModel(
name='hackerearth',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
migrations.CreateModel(
name='hackerrank',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
migrations.CreateModel(
name='leetcode',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
migrations.CreateModel(
name='topcoder',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200, null=True)),
('url', models.CharField(max_length=200, null=True)),
('start_time', models.CharField(max_length=200, null=True)),
('end_time', models.CharField(max_length=200, null=True)),
],
),
]
| 44.976471
| 114
| 0.556631
| 397
| 3,823
| 5.201511
| 0.128463
| 0.20339
| 0.244068
| 0.325424
| 0.892978
| 0.892978
| 0.892978
| 0.892978
| 0.892978
| 0.892978
| 0
| 0.036762
| 0.295579
| 3,823
| 84
| 115
| 45.511905
| 0.730041
| 0.011771
| 0
| 0.818182
| 1
| 0
| 0.07018
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.012987
| 0
| 0.064935
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
553b2c11fb5fb4d5865e34bf3813a2b343d5ad91
| 33,358
|
py
|
Python
|
docusign_esign/apis/bulk_envelopes_api.py
|
pivotal-energy-solutions/docusign-python-client
|
f3edd0b82e57999bc8848a63a0477712714ee437
|
[
"MIT"
] | null | null | null |
docusign_esign/apis/bulk_envelopes_api.py
|
pivotal-energy-solutions/docusign-python-client
|
f3edd0b82e57999bc8848a63a0477712714ee437
|
[
"MIT"
] | null | null | null |
docusign_esign/apis/bulk_envelopes_api.py
|
pivotal-energy-solutions/docusign-python-client
|
f3edd0b82e57999bc8848a63a0477712714ee437
|
[
"MIT"
] | 1
|
2021-04-26T20:52:45.000Z
|
2021-04-26T20:52:45.000Z
|
# coding: utf-8
"""
DocuSign REST API
The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign.
OpenAPI spec version: v2
Contact: devcenter@docusign.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..client.configuration import Configuration
from ..client.api_client import ApiClient
class BulkEnvelopesApi(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
config = Configuration()
if api_client:
self.api_client = api_client
else:
if not config.api_client:
config.api_client = ApiClient()
self.api_client = config.api_client
def delete_recipients(self, account_id, envelope_id, recipient_id, **kwargs):
"""
Deletes the bulk recipient file from an envelope.
Deletes the bulk recipient file from an envelope. This cannot be used if the envelope has been sent. After using this, the `bulkRecipientsUri` property is not returned in subsequent GET calls for the envelope, but the recipient will remain as a bulk recipient.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_recipients(account_id, envelope_id, recipient_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str envelope_id: The envelopeId Guid of the envelope being accessed. (required)
:param str recipient_id: The ID of the recipient being accessed. (required)
:return: BulkRecipientsUpdateResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.delete_recipients_with_http_info(account_id, envelope_id, recipient_id, **kwargs)
else:
(data) = self.delete_recipients_with_http_info(account_id, envelope_id, recipient_id, **kwargs)
return data
def delete_recipients_with_http_info(self, account_id, envelope_id, recipient_id, **kwargs):
"""
Deletes the bulk recipient file from an envelope.
Deletes the bulk recipient file from an envelope. This cannot be used if the envelope has been sent. After using this, the `bulkRecipientsUri` property is not returned in subsequent GET calls for the envelope, but the recipient will remain as a bulk recipient.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_recipients_with_http_info(account_id, envelope_id, recipient_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str envelope_id: The envelopeId Guid of the envelope being accessed. (required)
:param str recipient_id: The ID of the recipient being accessed. (required)
:return: BulkRecipientsUpdateResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['account_id', 'envelope_id', 'recipient_id']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_recipients" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'account_id' is set
if ('account_id' not in params) or (params['account_id'] is None):
raise ValueError("Missing the required parameter `account_id` when calling `delete_recipients`")
# verify the required parameter 'envelope_id' is set
if ('envelope_id' not in params) or (params['envelope_id'] is None):
raise ValueError("Missing the required parameter `envelope_id` when calling `delete_recipients`")
# verify the required parameter 'recipient_id' is set
if ('recipient_id' not in params) or (params['recipient_id'] is None):
raise ValueError("Missing the required parameter `recipient_id` when calling `delete_recipients`")
collection_formats = {}
resource_path = '/v2/accounts/{accountId}/envelopes/{envelopeId}/recipients/{recipientId}/bulk_recipients'.replace('{format}', 'json')
path_params = {}
if 'account_id' in params:
path_params['accountId'] = params['account_id']
if 'envelope_id' in params:
path_params['envelopeId'] = params['envelope_id']
if 'recipient_id' in params:
path_params['recipientId'] = params['recipient_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='BulkRecipientsUpdateResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get(self, account_id, batch_id, **kwargs):
"""
Gets the status of a specified bulk send operation.
Retrieves the status information of a single bulk recipient batch. A bulk recipient batch is the set of envelopes sent from a single bulk recipient file.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get(account_id, batch_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str batch_id: (required)
:param str count: Specifies the number of entries to return.
:param str include: Specifies which entries are included in the response. Multiple entries can be included by using commas in the query string (example: ?include=ââ¬Âfailed,queuedââ¬Â) Valid values are: * all - Returns all entries. If present, overrides all other query settings. This is the default if no query string is provided. * failed - This only returns entries with a failed status. * queued - This only returns entries with a queued status. * sent ââ¬â This only returns entries with a sent status.
:param str start_position: Specifies the location in the list of envelopes from which to start.
:return: BulkEnvelopeStatus
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_with_http_info(account_id, batch_id, **kwargs)
else:
(data) = self.get_with_http_info(account_id, batch_id, **kwargs)
return data
def get_with_http_info(self, account_id, batch_id, **kwargs):
"""
Gets the status of a specified bulk send operation.
Retrieves the status information of a single bulk recipient batch. A bulk recipient batch is the set of envelopes sent from a single bulk recipient file.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_with_http_info(account_id, batch_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str batch_id: (required)
:param str count: Specifies the number of entries to return.
:param str include: Specifies which entries are included in the response. Multiple entries can be included by using commas in the query string (example: ?include=ââ¬Âfailed,queuedââ¬Â) Valid values are: * all - Returns all entries. If present, overrides all other query settings. This is the default if no query string is provided. * failed - This only returns entries with a failed status. * queued - This only returns entries with a queued status. * sent ââ¬â This only returns entries with a sent status.
:param str start_position: Specifies the location in the list of envelopes from which to start.
:return: BulkEnvelopeStatus
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['account_id', 'batch_id', 'count', 'include', 'start_position']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'account_id' is set
if ('account_id' not in params) or (params['account_id'] is None):
raise ValueError("Missing the required parameter `account_id` when calling `get`")
# verify the required parameter 'batch_id' is set
if ('batch_id' not in params) or (params['batch_id'] is None):
raise ValueError("Missing the required parameter `batch_id` when calling `get`")
collection_formats = {}
resource_path = '/v2/accounts/{accountId}/bulk_envelopes/{batchId}'.replace('{format}', 'json')
path_params = {}
if 'account_id' in params:
path_params['accountId'] = params['account_id']
if 'batch_id' in params:
path_params['batchId'] = params['batch_id']
query_params = {}
if 'count' in params:
query_params['count'] = params['count']
if 'include' in params:
query_params['include'] = params['include']
if 'start_position' in params:
query_params['start_position'] = params['start_position']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='BulkEnvelopeStatus',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_recipients(self, account_id, envelope_id, recipient_id, **kwargs):
"""
Gets the bulk recipient file from an envelope.
Retrieves the bulk recipient file information from an envelope that has a bulk recipient.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recipients(account_id, envelope_id, recipient_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str envelope_id: The envelopeId Guid of the envelope being accessed. (required)
:param str recipient_id: The ID of the recipient being accessed. (required)
:param str include_tabs:
:param str start_position:
:return: BulkRecipientsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.get_recipients_with_http_info(account_id, envelope_id, recipient_id, **kwargs)
else:
(data) = self.get_recipients_with_http_info(account_id, envelope_id, recipient_id, **kwargs)
return data
def get_recipients_with_http_info(self, account_id, envelope_id, recipient_id, **kwargs):
"""
Gets the bulk recipient file from an envelope.
Retrieves the bulk recipient file information from an envelope that has a bulk recipient.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_recipients_with_http_info(account_id, envelope_id, recipient_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str envelope_id: The envelopeId Guid of the envelope being accessed. (required)
:param str recipient_id: The ID of the recipient being accessed. (required)
:param str include_tabs:
:param str start_position:
:return: BulkRecipientsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['account_id', 'envelope_id', 'recipient_id', 'include_tabs', 'start_position']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_recipients" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'account_id' is set
if ('account_id' not in params) or (params['account_id'] is None):
raise ValueError("Missing the required parameter `account_id` when calling `get_recipients`")
# verify the required parameter 'envelope_id' is set
if ('envelope_id' not in params) or (params['envelope_id'] is None):
raise ValueError("Missing the required parameter `envelope_id` when calling `get_recipients`")
# verify the required parameter 'recipient_id' is set
if ('recipient_id' not in params) or (params['recipient_id'] is None):
raise ValueError("Missing the required parameter `recipient_id` when calling `get_recipients`")
collection_formats = {}
resource_path = '/v2/accounts/{accountId}/envelopes/{envelopeId}/recipients/{recipientId}/bulk_recipients'.replace('{format}', 'json')
path_params = {}
if 'account_id' in params:
path_params['accountId'] = params['account_id']
if 'envelope_id' in params:
path_params['envelopeId'] = params['envelope_id']
if 'recipient_id' in params:
path_params['recipientId'] = params['recipient_id']
query_params = {}
if 'include_tabs' in params:
query_params['include_tabs'] = params['include_tabs']
if 'start_position' in params:
query_params['start_position'] = params['start_position']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='BulkRecipientsResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list(self, account_id, **kwargs):
"""
Gets status information about bulk recipient batches.
Retrieves status information about all the bulk recipient batches. A bulk recipient batch is the set of envelopes sent from a single bulk recipient file. The response includes general information about each bulk recipient batch. The response returns information about the envelopes sent with bulk recipient batches, including the `batchId` property, which can be used to retrieve a more detailed status of individual bulk recipient batches.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.list(account_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str count: The number of results to return. This can be 1 to 20.
:param str include:
:param str start_position: The position of the bulk envelope items in the response. This is used for repeated calls, when the number of bulk envelopes returned is too large for one return. The default value is 0.
:return: BulkEnvelopesResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.list_with_http_info(account_id, **kwargs)
else:
(data) = self.list_with_http_info(account_id, **kwargs)
return data
def list_with_http_info(self, account_id, **kwargs):
"""
Gets status information about bulk recipient batches.
Retrieves status information about all the bulk recipient batches. A bulk recipient batch is the set of envelopes sent from a single bulk recipient file. The response includes general information about each bulk recipient batch. The response returns information about the envelopes sent with bulk recipient batches, including the `batchId` property, which can be used to retrieve a more detailed status of individual bulk recipient batches.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.list_with_http_info(account_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str count: The number of results to return. This can be 1 to 20.
:param str include:
:param str start_position: The position of the bulk envelope items in the response. This is used for repeated calls, when the number of bulk envelopes returned is too large for one return. The default value is 0.
:return: BulkEnvelopesResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['account_id', 'count', 'include', 'start_position']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'account_id' is set
if ('account_id' not in params) or (params['account_id'] is None):
raise ValueError("Missing the required parameter `account_id` when calling `list`")
collection_formats = {}
resource_path = '/v2/accounts/{accountId}/bulk_envelopes'.replace('{format}', 'json')
path_params = {}
if 'account_id' in params:
path_params['accountId'] = params['account_id']
query_params = {}
if 'count' in params:
query_params['count'] = params['count']
if 'include' in params:
query_params['include'] = params['include']
if 'start_position' in params:
query_params['start_position'] = params['start_position']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='BulkEnvelopesResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_recipients(self, account_id, envelope_id, recipient_id, **kwargs):
"""
Adds or replaces envelope bulk recipients.
Updates the bulk recipients in a draft envelope using a file upload. The Content-Type supported for uploading a bulk recipient file is CSV (text/csv). The REST API does not support modifying individual rows or values in the bulk recipients file. It only allows the entire file to be added or replaced with a new file.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_recipients(account_id, envelope_id, recipient_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str envelope_id: The envelopeId Guid of the envelope being accessed. (required)
:param str recipient_id: The ID of the recipient being accessed. (required)
:param BulkRecipientsRequest bulk_recipients_request:
:return: BulkRecipientsSummaryResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.update_recipients_with_http_info(account_id, envelope_id, recipient_id, **kwargs)
else:
(data) = self.update_recipients_with_http_info(account_id, envelope_id, recipient_id, **kwargs)
return data
def update_recipients_with_http_info(self, account_id, envelope_id, recipient_id, **kwargs):
"""
Adds or replaces envelope bulk recipients.
Updates the bulk recipients in a draft envelope using a file upload. The Content-Type supported for uploading a bulk recipient file is CSV (text/csv). The REST API does not support modifying individual rows or values in the bulk recipients file. It only allows the entire file to be added or replaced with a new file.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_recipients_with_http_info(account_id, envelope_id, recipient_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str account_id: The external account number (int) or account ID Guid. (required)
:param str envelope_id: The envelopeId Guid of the envelope being accessed. (required)
:param str recipient_id: The ID of the recipient being accessed. (required)
:param BulkRecipientsRequest bulk_recipients_request:
:return: BulkRecipientsSummaryResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['account_id', 'envelope_id', 'recipient_id', 'bulk_recipients_request']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_recipients" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'account_id' is set
if ('account_id' not in params) or (params['account_id'] is None):
raise ValueError("Missing the required parameter `account_id` when calling `update_recipients`")
# verify the required parameter 'envelope_id' is set
if ('envelope_id' not in params) or (params['envelope_id'] is None):
raise ValueError("Missing the required parameter `envelope_id` when calling `update_recipients`")
# verify the required parameter 'recipient_id' is set
if ('recipient_id' not in params) or (params['recipient_id'] is None):
raise ValueError("Missing the required parameter `recipient_id` when calling `update_recipients`")
collection_formats = {}
resource_path = '/v2/accounts/{accountId}/envelopes/{envelopeId}/recipients/{recipientId}/bulk_recipients'.replace('{format}', 'json')
path_params = {}
if 'account_id' in params:
path_params['accountId'] = params['account_id']
if 'envelope_id' in params:
path_params['envelopeId'] = params['envelope_id']
if 'recipient_id' in params:
path_params['recipientId'] = params['recipient_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'bulk_recipients_request' in params:
body_params = params['bulk_recipients_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['text/csv'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(resource_path, 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='BulkRecipientsSummaryResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 51.637771
| 531
| 0.619821
| 3,783
| 33,358
| 5.289188
| 0.075073
| 0.038233
| 0.023989
| 0.019941
| 0.948323
| 0.938278
| 0.93408
| 0.930281
| 0.926383
| 0.914938
| 0
| 0.000733
| 0.304754
| 33,358
| 645
| 532
| 51.717829
| 0.8609
| 0.417111
| 0
| 0.749216
| 0
| 0
| 0.21466
| 0.047909
| 0
| 0
| 0
| 0
| 0
| 1
| 0.034483
| false
| 0
| 0.021944
| 0
| 0.106583
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
556e90dd72cdddb6dfe1b532bb9d43977155800b
| 146
|
py
|
Python
|
ws13 Pytho Modules/MyPackage/module2.py
|
olg200492/InfinityLabs-DevOps
|
2b879683741281b03016e917518e95c997dcd6bb
|
[
"MIT"
] | null | null | null |
ws13 Pytho Modules/MyPackage/module2.py
|
olg200492/InfinityLabs-DevOps
|
2b879683741281b03016e917518e95c997dcd6bb
|
[
"MIT"
] | null | null | null |
ws13 Pytho Modules/MyPackage/module2.py
|
olg200492/InfinityLabs-DevOps
|
2b879683741281b03016e917518e95c997dcd6bb
|
[
"MIT"
] | null | null | null |
def bar():
print("Hello, function 'bar' from module '2' calling")
def _bar():
print("Hello, function '_bar' from module '2' calling")
| 29.2
| 59
| 0.630137
| 20
| 146
| 4.5
| 0.45
| 0.133333
| 0.244444
| 0.355556
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0.017241
| 0.205479
| 146
| 5
| 59
| 29.2
| 0.758621
| 0
| 0
| 0
| 0
| 0
| 0.619048
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0.5
| 1
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 14
|
e956664d541dd3dbe59241200c567680b4254e4f
| 391
|
py
|
Python
|
narwhallet/core/kcl/bip_utils/utils/__init__.py
|
Snider/narwhallet
|
0d528763c735f1e68b8264e302854d41e7cf1956
|
[
"MIT"
] | 3
|
2021-12-29T11:25:13.000Z
|
2022-01-16T13:57:17.000Z
|
narwhallet/core/kcl/bip_utils/utils/__init__.py
|
Snider/narwhallet
|
0d528763c735f1e68b8264e302854d41e7cf1956
|
[
"MIT"
] | null | null | null |
narwhallet/core/kcl/bip_utils/utils/__init__.py
|
Snider/narwhallet
|
0d528763c735f1e68b8264e302854d41e7cf1956
|
[
"MIT"
] | 1
|
2022-01-16T13:57:20.000Z
|
2022-01-16T13:57:20.000Z
|
from narwhallet.core.kcl.bip_utils.utils.algo import AlgoUtils
from narwhallet.core.kcl.bip_utils.utils.base32 import Base32
from narwhallet.core.kcl.bip_utils.utils.bit import BitUtils
from narwhallet.core.kcl.bip_utils.utils.conversion import ConvUtils
from narwhallet.core.kcl.bip_utils.utils.crypto import CryptoUtils
from narwhallet.core.kcl.bip_utils.utils.data_bytes import DataBytes
| 55.857143
| 68
| 0.861893
| 61
| 391
| 5.409836
| 0.311475
| 0.254545
| 0.327273
| 0.381818
| 0.618182
| 0.618182
| 0.618182
| 0
| 0
| 0
| 0
| 0.010899
| 0.061381
| 391
| 6
| 69
| 65.166667
| 0.888283
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
e96bf3d30423124a135a39a64d05c41014c0d7fd
| 177
|
py
|
Python
|
Logdata/Logdata/controller/HelpController.py
|
AndroidLogData/LogData-Server
|
f6ec7d3b13efb1dac995a5551dfa971a44502069
|
[
"MIT"
] | 2
|
2018-01-26T12:53:08.000Z
|
2019-03-20T03:32:40.000Z
|
Logdata/Logdata/controller/HelpController.py
|
AndroidLogData/Logdata-Server
|
f6ec7d3b13efb1dac995a5551dfa971a44502069
|
[
"MIT"
] | null | null | null |
Logdata/Logdata/controller/HelpController.py
|
AndroidLogData/Logdata-Server
|
f6ec7d3b13efb1dac995a5551dfa971a44502069
|
[
"MIT"
] | null | null | null |
from flask import render_template
from Logdata.Log_Data_Blueprint import logdata
@logdata.route('/help', methods=['GET'])
def help():
return render_template('help.html')
| 19.666667
| 46
| 0.757062
| 24
| 177
| 5.416667
| 0.666667
| 0.215385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118644
| 177
| 8
| 47
| 22.125
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0.096045
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0.2
| 0.8
| 0.2
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
75c7d8c13a3c62d9f0230d8d16fd914fcbfb421c
| 123
|
py
|
Python
|
ex/parsers/__init__.py
|
alex-carr/Vintageous
|
8b7beba72864ad1e1e4fdd7507e5dccd74ed0a38
|
[
"MIT"
] | null | null | null |
ex/parsers/__init__.py
|
alex-carr/Vintageous
|
8b7beba72864ad1e1e4fdd7507e5dccd74ed0a38
|
[
"MIT"
] | null | null | null |
ex/parsers/__init__.py
|
alex-carr/Vintageous
|
8b7beba72864ad1e1e4fdd7507e5dccd74ed0a38
|
[
"MIT"
] | null | null | null |
from Vintageous.ex.parsers import cmd_line
from Vintageous.ex.parsers import g_cmd
from Vintageous.ex.parsers import s_cmd
| 30.75
| 42
| 0.853659
| 21
| 123
| 4.857143
| 0.428571
| 0.411765
| 0.470588
| 0.676471
| 0.852941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 123
| 3
| 43
| 41
| 0.918919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 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
| 9
|
f948bf37118a636d14019fb5410251d3014ec2bd
| 13,801
|
py
|
Python
|
paper_fig_util/corr_figs.py
|
AllenInstitute/OpenScope_CA_Analysis
|
af0f96584c2f8dcd313e1c89b441eb08952e8b18
|
[
"MIT"
] | null | null | null |
paper_fig_util/corr_figs.py
|
AllenInstitute/OpenScope_CA_Analysis
|
af0f96584c2f8dcd313e1c89b441eb08952e8b18
|
[
"MIT"
] | null | null | null |
paper_fig_util/corr_figs.py
|
AllenInstitute/OpenScope_CA_Analysis
|
af0f96584c2f8dcd313e1c89b441eb08952e8b18
|
[
"MIT"
] | 1
|
2022-02-17T17:46:53.000Z
|
2022-02-17T17:46:53.000Z
|
"""
corr_figs.py
This script contains functions defining USI correlation figure panel analyses.
Authors: Colleen Gillon
Date: January, 2021
Note: this code uses python 3.7.
"""
import logging
from util import logger_util
from analysis import misc_analys, corr_analys
from paper_fig_util import helper_fcts
from sess_util import sess_ntuple_util
logger = logging.getLogger(__name__)
PERMUTE = "tracking" # sess, tracking or all
CORR_TYPE = "corr" # corr or R_sqr
SIG_ONLY = False # whether to include only ROIs with significant USIs
############################################
def gabor_corrs_sess123_comps(sessions, analyspar, sesspar, stimpar, basepar,
idxpar, permpar, figpar, seed=None,
parallel=False):
"""
gabor_corrs_sess123_comps(sessions, analyspar, sesspar, stimpar, basepar,
idxpar, permpar, figpar)
Retrieves tracked ROI Gabor USI correlations for session 1 to 3.
Saves results and parameters relevant to analysis in a dictionary.
Required args:
- sessions (list):
Session objects
- analyspar (AnalysPar):
named tuple containing analysis parameters
- sesspar (SessPar):
named tuple containing session parameters
- stimpar (StimPar):
named tuple containing stimulus parameters
- basepar (BasePar):
named tuple containing baseline parameters
- idxpar (IdxPar):
named tuple containing index parameters
- permpar (PermPar):
named tuple containing permutation parameters
- figpar (dict):
dictionary containing figure parameters
Optional args:
- seed (int):
seed value to use. (-1 treated as None)
default: None
- parallel (bool):
if True, some of the analysis is run in parallel across CPU cores
default: False
"""
logger.info(
"Compiling tracked ROI Gabor USI correlations for sessions 1 to 3.",
extra={"spacing": "\n"})
if not analyspar.tracked:
raise ValueError("analyspar.tracked should be set to True.")
# remove incomplete session series and warn
sessions = misc_analys.check_sessions_complete(sessions)
consec_only = True
permpar = corr_analys.set_multcomp(
permpar, sessions, analyspar, consec_only=consec_only
)
permute = PERMUTE
corr_type = CORR_TYPE
sig_only = SIG_ONLY
if "R_sqr" in corr_type:
permpar = sess_ntuple_util.get_modif_ntuple(permpar, "tails", "hi")
idx_corr_df = corr_analys.get_idx_corrs_df(
sessions,
analyspar=analyspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
consec_only=consec_only,
permute=permute,
corr_type=corr_type,
sig_only=sig_only,
randst=seed,
parallel=parallel
)
extrapar = {
"consec_only": consec_only,
"corr_type" : corr_type,
"permute" : permute,
"seed" : seed,
"sig_only" : sig_only,
}
info = {"analyspar" : analyspar._asdict(),
"sesspar" : sesspar._asdict(),
"stimpar" : stimpar._asdict(),
"basepar" : basepar._asdict(),
"idxpar" : idxpar._asdict(),
"permpar" : permpar._asdict(),
"extrapar" : extrapar,
"idx_corr_df": idx_corr_df.to_dict()
}
helper_fcts.plot_save_all(info, figpar)
############################################
def visual_flow_corrs_sess123_comps(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,
seed=None, parallel=False):
"""
visual_flow_corrs_sess123_comps(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar)
Retrieves tracked ROI visual flow USI correlations for session 1 to 3.
Saves results and parameters relevant to analysis in a dictionary.
Required args:
- sessions (list):
Session objects
- analyspar (AnalysPar):
named tuple containing analysis parameters
- sesspar (SessPar):
named tuple containing session parameters
- stimpar (StimPar):
named tuple containing stimulus parameters
- basepar (BasePar):
named tuple containing baseline parameters
- idxpar (IdxPar):
named tuple containing index parameters
- permpar (PermPar):
named tuple containing permutation parameters
- figpar (dict):
dictionary containing figure parameters
Optional args:
- seed (int):
seed value to use. (-1 treated as None)
default: None
- parallel (bool):
if True, some of the analysis is run in parallel across CPU cores
default: False
"""
logger.info(
("Compiling tracked ROI visual flow USI correlations for "
"sessions 1 to 3."),
extra={"spacing": "\n"})
if not analyspar.tracked:
raise ValueError("analyspar.tracked should be set to True.")
# remove incomplete session series and warn
sessions = misc_analys.check_sessions_complete(sessions)
consec_only = True
permpar = corr_analys.set_multcomp(
permpar, sessions, analyspar, consec_only=consec_only
)
permute = PERMUTE
corr_type = CORR_TYPE
sig_only = SIG_ONLY
if "R_sqr" in corr_type:
permpar = sess_ntuple_util.get_modif_ntuple(permpar, "tails", "hi")
idx_corr_df = corr_analys.get_idx_corrs_df(
sessions,
analyspar=analyspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
consec_only=consec_only,
permute=permute,
corr_type=corr_type,
sig_only=sig_only,
randst=seed,
parallel=parallel
)
extrapar = {
"consec_only": consec_only,
"corr_type" : corr_type,
"permute" : permute,
"seed" : seed,
"sig_only" : sig_only,
}
info = {"analyspar" : analyspar._asdict(),
"sesspar" : sesspar._asdict(),
"stimpar" : stimpar._asdict(),
"basepar" : basepar._asdict(),
"idxpar" : idxpar._asdict(),
"permpar" : permpar._asdict(),
"extrapar" : extrapar,
"idx_corr_df": idx_corr_df.to_dict()
}
helper_fcts.plot_save_all(info, figpar)
############################################
def corr_scatterplots(sessions, analyspar, sesspar, stimpar, basepar, idxpar,
permpar, figpar, seed=None, parallel=False):
"""
corr_scatterplots(sessions, analyspar, sesspar, stimpar, basepar, idxpar,
permpar, figpar)
Retrieves tracked ROI USI correlation scatterplot data for a session pair.
Saves results and parameters relevant to analysis in a dictionary.
Required args:
- sessions (list):
Session objects
- analyspar (AnalysPar):
named tuple containing analysis parameters
- sesspar (SessPar):
named tuple containing session parameters
- stimpar (StimPar):
named tuple containing stimulus parameters
- basepar (BasePar):
named tuple containing baseline parameters
- idxpar (IdxPar):
named tuple containing index parameters
- permpar (PermPar):
named tuple containing permutation parameters
- figpar (dict):
dictionary containing figure parameters
Optional args:
- seed (int):
seed value to use. (-1 treated as None)
default: None
- parallel (bool):
if True, some of the analysis is run in parallel across CPU cores
default: False
"""
if not analyspar.tracked:
raise ValueError("analyspar.tracked should be set to True.")
# remove incomplete session series and warn
sessions = misc_analys.check_sessions_complete(sessions)
permpar = corr_analys.set_multcomp(permpar, sessions, analyspar, factor=2)
permute = PERMUTE
sig_only = SIG_ONLY
if not analyspar.tracked:
raise ValueError("analyspar.tracked should be set to True.")
idx_corr_df = corr_analys.corr_scatterplots(
sessions,
analyspar=analyspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
permute=permute,
sig_only=sig_only,
randst=seed,
parallel=parallel
)
extrapar = {
"permute" : permute,
"seed" : seed,
"sig_only" : sig_only,
}
info = {"analyspar" : analyspar._asdict(),
"sesspar" : sesspar._asdict(),
"stimpar" : stimpar._asdict(),
"basepar" : basepar._asdict(),
"idxpar" : idxpar._asdict(),
"permpar" : permpar._asdict(),
"extrapar" : extrapar,
"idx_corr_df": idx_corr_df.to_dict()
}
helper_fcts.plot_save_all(info, figpar)
############################################
def gabor_corr_scatterplots_sess12(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,
seed=None, parallel=False):
"""
gabor_corr_scatterplots_sess12(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar)
Retrieves tracked ROI Gabor USI correlation scatterplot data for sessions
1 and 2.
Saves results and parameters relevant to analysis in a dictionary.
See corr_scatterplots().
"""
logger.info(
("Compiling tracked ROI Gabor USI correlation scatterplot data for "
"sessions 1 and 2."), extra={"spacing": "\n"})
corr_scatterplots(
sessions,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
figpar=figpar,
seed=seed,
parallel=parallel
)
############################################
def gabor_corr_scatterplots_sess23(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,
seed=None, parallel=False):
"""
gabor_corr_scatterplots_sess23(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar)
Retrieves tracked ROI Gabor USI correlation scatterplot data for sessions
2 and 3.
Saves results and parameters relevant to analysis in a dictionary.
See corr_scatterplots()
"""
logger.info(
("Compiling tracked ROI Gabor USI correlation scatterplot data for "
"sessions 2 and 3."), extra={"spacing": "\n"})
corr_scatterplots(
sessions,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
figpar=figpar,
seed=seed,
parallel=parallel
)
############################################
def visual_flow_corr_scatterplots_sess12(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,
seed=None, parallel=False):
"""
visual_flow_corr_scatterplots_sess12(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,)
Retrieves tracked ROI visual flow USI correlation scatterplot data for
sessions 1 and 2.
Saves results and parameters relevant to analysis in a dictionary.
See corr_scatterplots()
"""
logger.info(
("Compiling tracked ROI visual flow USI correlation scatterplot data "
"for sessions 1 and 2."), extra={"spacing": "\n"})
corr_scatterplots(
sessions,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
figpar=figpar,
seed=seed,
parallel=parallel
)
############################################
def visual_flow_corr_scatterplots_sess23(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,
seed=None, parallel=False):
"""
visual_flow_corr_scatterplots_sess23(sessions, analyspar, sesspar, stimpar,
basepar, idxpar, permpar, figpar,)
Retrieves tracked ROI visual flow USI correlation scatterplot data for
sessions 2 and 3.
Saves results and parameters relevant to analysis in a dictionary.
See corr_scatterplots()
"""
logger.info(
("Compiling tracked ROI visual flow USI correlation scatterplot data "
"for sessions 2 and 3."), extra={"spacing": "\n"})
corr_scatterplots(
sessions,
analyspar=analyspar,
sesspar=sesspar,
stimpar=stimpar,
basepar=basepar,
idxpar=idxpar,
permpar=permpar,
figpar=figpar,
seed=seed,
parallel=parallel
)
| 30.943946
| 80
| 0.576263
| 1,347
| 13,801
| 5.757238
| 0.118782
| 0.052611
| 0.046422
| 0.055964
| 0.944165
| 0.935525
| 0.93011
| 0.929465
| 0.92147
| 0.91528
| 0
| 0.00668
| 0.327513
| 13,801
| 445
| 81
| 31.013483
| 0.828898
| 0.360409
| 0
| 0.801843
| 0
| 0
| 0.126854
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.032258
| false
| 0
| 0.023041
| 0
| 0.0553
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f99e2e0a4dca2472025f000d406670418f945a0b
| 67
|
py
|
Python
|
extra_tests/cffi_tests/cffi0/snippets/infrastructure/snip_infrastructure/__init__.py
|
nanjekyejoannah/pypy
|
e80079fe13c29eda7b2a6b4cd4557051f975a2d9
|
[
"Apache-2.0",
"OpenSSL"
] | 381
|
2018-08-18T03:37:22.000Z
|
2022-02-06T23:57:36.000Z
|
extra_tests/cffi_tests/cffi0/snippets/infrastructure/snip_infrastructure/__init__.py
|
nanjekyejoannah/pypy
|
e80079fe13c29eda7b2a6b4cd4557051f975a2d9
|
[
"Apache-2.0",
"OpenSSL"
] | 16
|
2018-09-22T18:12:47.000Z
|
2022-02-22T20:03:59.000Z
|
extra_tests/cffi_tests/cffi0/snippets/infrastructure/snip_infrastructure/__init__.py
|
nanjekyejoannah/pypy
|
e80079fe13c29eda7b2a6b4cd4557051f975a2d9
|
[
"Apache-2.0",
"OpenSSL"
] | 55
|
2015-08-16T02:41:30.000Z
|
2022-03-20T20:33:35.000Z
|
# Generated by pypy/tool/import_cffi.py
def func():
return 42
| 13.4
| 39
| 0.701493
| 11
| 67
| 4.181818
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0.19403
| 67
| 4
| 40
| 16.75
| 0.814815
| 0.552239
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
f9af75fbb8b67aa2958d1c81f8d354cc70447236
| 9,782
|
py
|
Python
|
src/infi/winapi/file_version_information/tests/__init__.py
|
Infinidat/infi.winapi.file_version_information
|
d11a50fb8007c18338b522c142cbb07bad51a289
|
[
"BSD-3-Clause"
] | null | null | null |
src/infi/winapi/file_version_information/tests/__init__.py
|
Infinidat/infi.winapi.file_version_information
|
d11a50fb8007c18338b522c142cbb07bad51a289
|
[
"BSD-3-Clause"
] | 1
|
2016-09-08T08:55:00.000Z
|
2016-09-08T08:55:00.000Z
|
src/infi/winapi/file_version_information/tests/__init__.py
|
Infinidat/infi.winapi.file_version_information
|
d11a50fb8007c18338b522c142cbb07bad51a289
|
[
"BSD-3-Clause"
] | null | null | null |
import mock
import os
import ctypes
from infi import unittest
from .. import File, api
from pkg_resources import parse_version
from contextlib import contextmanager
CMD_EXE_PATH = r"C:\Windows\System32\cmd.exe"
FILE_VERSION_INFO = \
b'\x90\x034\x00\x00\x00V\x00S\x00_\x00V\x00E\x00R\x00S\x00I\x00O\x00N' + \
b'\x00_\x00I\x00N\x00F\x00O\x00\x00\x00\x00\x00\xbd\x04\xef\xfe\x00\x00\x01\x00\x01\x00' + \
b'\x06\x00jD\xb1\x1d\x01\x00\x06\x00jD\xb1\x1d?\x00\x00\x00\x00\x00\x00\x00\x04\x00\x04' + \
b'\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xee\x02\x00\x00\x01\x00S\x00' + \
b't\x00r\x00i\x00n\x00g\x00F\x00i\x00l\x00e\x00I\x00n\x00f\x00o' + \
b'\x00\x00\x00\xca\x02\x00\x00\x01\x000\x004\x000\x009\x000\x004\x00B\x000\x00' + \
b'\x00\x00L\x00\x16\x00\x01\x00C\x00o\x00m\x00p\x00a\x00n\x00y\x00N\x00a' + \
b'\x00m\x00e\x00\x00\x00\x00\x00M\x00i\x00c\x00r\x00o\x00s\x00o\x00f\x00' + \
b't\x00 \x00C\x00o\x00r\x00p\x00o\x00r\x00a\x00t\x00i\x00o\x00n' + \
b'\x00\x00\x00\\\x00\x1a\x00\x01\x00F\x00i\x00l\x00e\x00D\x00e\x00s\x00c\x00' + \
b'r\x00i\x00p\x00t\x00i\x00o\x00n\x00\x00\x00\x00\x00W\x00i\x00n\x00d' + \
b'\x00o\x00w\x00s\x00 \x00C\x00o\x00m\x00m\x00a\x00n\x00d\x00 \x00' + \
b'P\x00r\x00o\x00c\x00e\x00s\x00s\x00o\x00r\x00\x00\x00r\x00)\x00\x01' + \
b'\x00F\x00i\x00l\x00e\x00V\x00e\x00r\x00s\x00i\x00o\x00n\x00\x00\x00' + \
b'\x00\x006\x00.\x001\x00.\x007\x006\x000\x001\x00.\x001\x007\x005' + \
b'\x001\x004\x00 \x00(\x00w\x00i\x00n\x007\x00s\x00p\x001\x00_\x00' + \
b'r\x00t\x00m\x00.\x001\x000\x001\x001\x001\x009\x00-\x001\x008' + \
b'\x005\x000\x00)\x00\x00\x00\x00\x00(\x00\x04\x00\x01\x00I\x00n\x00t\x00e\x00' + \
b'r\x00n\x00a\x00l\x00N\x00a\x00m\x00e\x00\x00\x00c\x00m\x00d\x00\x00' + \
b'\x00\x80\x00.\x00\x01\x00L\x00e\x00g\x00a\x00l\x00C\x00o\x00p\x00y\x00' + \
b'r\x00i\x00g\x00h\x00t\x00\x00\x00\xa9\x00 \x00M\x00i\x00c\x00r\x00o' + \
b'\x00s\x00o\x00f\x00t\x00 \x00C\x00o\x00r\x00p\x00o\x00r\x00a\x00' + \
b't\x00i\x00o\x00n\x00.\x00 \x00A\x00l\x00l\x00 \x00r\x00i\x00g' + \
b'\x00h\x00t\x00s\x00 \x00r\x00e\x00s\x00e\x00r\x00v\x00e\x00d\x00' + \
b'.\x00\x00\x00@\x00\x0c\x00\x01\x00O\x00r\x00i\x00g\x00i\x00n\x00a\x00l' + \
b'\x00F\x00i\x00l\x00e\x00n\x00a\x00m\x00e\x00\x00\x00C\x00m\x00d\x00' + \
b'.\x00E\x00x\x00e\x00.\x00M\x00U\x00I\x00\x00\x00j\x00%\x00\x01\x00P' + \
b'\x00r\x00o\x00d\x00u\x00c\x00t\x00N\x00a\x00m\x00e\x00\x00\x00\x00\x00' + \
b'M\x00i\x00c\x00r\x00o\x00s\x00o\x00f\x00t\x00\xae\x00 \x00W\x00i' + \
b'\x00n\x00d\x00o\x00w\x00s\x00\xae\x00 \x00O\x00p\x00e\x00r\x00a\x00' + \
b't\x00i\x00n\x00g\x00 \x00S\x00y\x00s\x00t\x00e\x00m\x00\x00\x00\x00' + \
b'\x00B\x00\x0f\x00\x01\x00P\x00r\x00o\x00d\x00u\x00c\x00t\x00V\x00e\x00' + \
b'r\x00s\x00i\x00o\x00n\x00\x00\x006\x00.\x001\x00.\x007\x006\x000' + \
b'\x001\x00.\x001\x007\x005\x001\x004\x00\x00\x00\x00\x00D\x00\x00\x00\x01\x00' + \
b'V\x00a\x00r\x00F\x00i\x00l\x00e\x00I\x00n\x00f\x00o\x00\x00\x00\x00' + \
b'\x00$\x00\x04\x00\x00\x00T\x00r\x00a\x00n\x00s\x00l\x00a\x00t\x00i\x00' + \
b'o\x00n\x00\x00\x00\x00\x00\t\x04\xb0\x04FE2X\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' + \
b'\x00\x00\x00'
MOCK_VS_FIXEDFILEINFO = \
b'\xbd\x04\xef\xfe\x00\x00\x01\x00\x01\x00\x06\x00jD\xb1\x1d\x01\x00\x06\x00jD\xb1\x1d?\x00\x00' + \
b'\x00\x00\x00\x00\x00\x04\x00\x04\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
class FileTestCase(unittest.TestCase):
@classmethod
def setUpClass(cls):
super(FileTestCase, cls).setUpClass()
if os.name != 'nt':
raise unittest.SkipTest("This test can run only on Windows")
def test_version_of_cmd_exe(self):
cmd_exe = File(CMD_EXE_PATH)
version = cmd_exe.get_version()
self.assertGreater(parse_version(version), parse_version('1.0'))
class MockFileTestCase(FileTestCase):
@classmethod
def setUpClass(cls):
with mock.patch.object(os, "name", new='nt'):
super(MockFileTestCase, cls).setUpClass()
def _patch_exists(self, path):
self.assertEqual(path, CMD_EXE_PATH)
return True
def _patch_GetFileVersionInfoSizeW(self, filepath):
self.assertEqual(filepath.value, CMD_EXE_PATH)
return 1828
def _patch_GetFileVersionInfoW(self, filepath, handle, length, data):
self.assertEqual(filepath.value, CMD_EXE_PATH)
self.assertEqual(handle.value, 0)
self.assertEqual(length.value, 1828)
data.raw = FILE_VERSION_INFO
return 1
def _patch_VerQueryValueW(self, block, sub_block, pointer, length):
self.assertEqual(block.raw, FILE_VERSION_INFO[:1828])
self.assertEqual(sub_block.value, '\\')
_buffer = ctypes.create_string_buffer(MOCK_VS_FIXEDFILEINFO, api.VS_FIXEDFILEINFO.min_max_sizeof().max)
pointer.value = ctypes.addressof(_buffer)
return 1
def test_version_of_cmd_exe(self):
with mock.patch.object(os.path, "exists", self._patch_exists), \
mock.patch.object(api, "GetFileVersionInfoSizeW", self._patch_GetFileVersionInfoSizeW), \
mock.patch.object(api, "GetFileVersionInfoW", self._patch_GetFileVersionInfoW), \
mock.patch.object(api, "VerQueryValueW", self._patch_VerQueryValueW):
super(MockFileTestCase, self).test_version_of_cmd_exe()
| 70.374101
| 115
| 0.660192
| 1,850
| 9,782
| 3.454595
| 0.075676
| 0.920044
| 1.270224
| 1.586606
| 0.644969
| 0.603036
| 0.568925
| 0.530277
| 0.490847
| 0.483336
| 0
| 0.355689
| 0.131159
| 9,782
| 138
| 116
| 70.884058
| 0.396282
| 0
| 0
| 0.368
| 0
| 0.6
| 0.66544
| 0.641513
| 0
| 0
| 0
| 0
| 0.064
| 1
| 0.064
| false
| 0
| 0.056
| 0
| 0.168
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
ddb9f12514bb66696f75af91cf4373c160689159
| 68,600
|
py
|
Python
|
benchmarks/SimResults/combinations_splash_heteroFair/oldstuff/cmp_choleskybarnesfftocean.cont/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/combinations_splash_heteroFair/oldstuff/cmp_choleskybarnesfftocean.cont/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/combinations_splash_heteroFair/oldstuff/cmp_choleskybarnesfftocean.cont/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.153226,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.323039,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.874421,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.486306,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.842107,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.482972,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.81138,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.346633,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 7.10146,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.165197,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.017629,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.182936,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.130377,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.348133,
'Execution Unit/Register Files/Runtime Dynamic': 0.148006,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.484026,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.21535,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 3.90316,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.0017518,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.0017518,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00152252,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000587586,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00187288,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00689899,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.016914,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.125335,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.359254,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.425694,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 0.934096,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.070441,
'L2/Runtime Dynamic': 0.0163859,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 5.41976,
'Load Store Unit/Data Cache/Runtime Dynamic': 2.02471,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.135318,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.135318,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 6.06136,
'Load Store Unit/Runtime Dynamic': 2.82737,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.333672,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.667343,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.118421,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.119474,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0589083,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.763221,
'Memory Management Unit/Runtime Dynamic': 0.178383,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 27.5269,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.576335,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.0318022,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.242743,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.85088,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 8.71028,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0530188,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.244332,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.31165,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.217163,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.350275,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.176807,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.744245,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.200592,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.75003,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0588773,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00910878,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0846876,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.067365,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.143565,
'Execution Unit/Register Files/Runtime Dynamic': 0.0764738,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.191671,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.48765,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.95808,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00148613,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00148613,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00130786,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000513643,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000967703,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00524783,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0137688,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0647597,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.11927,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.196983,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.219953,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.5377,
'Instruction Fetch Unit/Runtime Dynamic': 0.500712,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0333451,
'L2/Runtime Dynamic': 0.00983299,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.33192,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.0176,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0677719,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.067772,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.65196,
'Load Store Unit/Runtime Dynamic': 1.4196,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.167114,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.334228,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0593092,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0598087,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.256121,
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'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
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'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00445076,
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'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
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'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0109905,
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'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
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'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
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'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.29712,
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'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.22945,
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'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.72418,
'Instruction Fetch Unit/Runtime Dynamic': 0.521224,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0418035,
'L2/Runtime Dynamic': 0.0121078,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.38363,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.04706,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0694448,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0694447,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.71157,
'Load Store Unit/Runtime Dynamic': 1.45898,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.171239,
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'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000732761,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00305572,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0074381,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0490371,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.11918,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.147048,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.166552,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 5.48907,
'Instruction Fetch Unit/Runtime Dynamic': 0.373131,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0486486,
'L2/Runtime Dynamic': 0.0170822,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.49028,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.6299,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0405426,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0405426,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.68173,
'Load Store Unit/Runtime Dynamic': 0.870384,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0999712,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.199942,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0354801,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0362098,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.193939,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0241088,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.410996,
'Memory Management Unit/Runtime Dynamic': 0.0603186,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 16.8218,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.156733,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.00932645,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0809812,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.247041,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 3.20023,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 4.339562417228407,
'Runtime Dynamic': 4.339562417228407,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.216797,
'Runtime Dynamic': 0.110248,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 83.1084,
'Peak Power': 116.221,
'Runtime Dynamic': 20.7096,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 82.8916,
'Total Cores/Runtime Dynamic': 20.5994,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.216797,
'Total L3s/Runtime Dynamic': 0.110248,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
| 75.054705
| 124
| 0.682041
| 8,082
| 68,600
| 5.783222
| 0.067805
| 0.123577
| 0.112965
| 0.093453
| 0.939281
| 0.93083
| 0.918036
| 0.885494
| 0.863051
| 0.84249
| 0
| 0.131801
| 0.224359
| 68,600
| 914
| 125
| 75.054705
| 0.746622
| 0
| 0
| 0.642232
| 0
| 0
| 0.657498
| 0.048104
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ddbebb9dafb25bf503cfb2eceb2ae01cfacaa718
| 2,148
|
py
|
Python
|
services/kettle/kettle/client.corrupted.py
|
SharLike-CTF-Team/altayctf-2019
|
a1e1c06ace90a6cd02fa200854a16a8e4de1ec85
|
[
"MIT"
] | 7
|
2019-07-01T15:15:36.000Z
|
2020-11-07T06:06:53.000Z
|
services/kettle/kettle/client.corrupted.py
|
SharLike-CTF-Team/altayctf-2019
|
a1e1c06ace90a6cd02fa200854a16a8e4de1ec85
|
[
"MIT"
] | 3
|
2020-03-24T17:12:57.000Z
|
2021-02-02T22:04:21.000Z
|
services/kettle/kettle/client.corrupted.py
|
SharLike-CTF-Team/altayctf-2019
|
a1e1c06ace90a6cd02fa200854a16a8e4de1ec85
|
[
"MIT"
] | 3
|
2019-07-01T14:32:55.000Z
|
2020-03-27T11:42:51.000Z
|
data = json.dumps(client_data)
tmpkey = 0\00\00P\C6token_hex(nbytes=10)
other_key = server_pubkey
encrypted_key = crypto.encrypt(tmpkey, other_key)
\00cipher = arc4_encrypt(tmpkey, data)
FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FF\FFR\00o\00o\00t\00 \00E\00n\00t\00r\00y\00\00\00\00\00\00\00\00\00\00\0
encrypted_data = 0dict(
username=my_username,
$G$\0key=encrypted_key,
data=str(base64.b64encode(cipher))[2:-1]
)
0\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\00\0
try:
async with client.request('POST', f'http://coffee.pot/api/create_post', data=encrypted_data) as response:
text = await response.text()\90data = json.loads(text)['result']
tmpkey = crypto.decrypt (int(data['key']))
message = arc4_decrypt(tmpkey, base64.b64decode(data['data']))
| 119.333333
| 1,409
| 0.667598
| 582
| 2,148
| 2.443299
| 0.109966
| 1.251758
| 1.873418
| 2.492264
| 0.676512
| 0.676512
| 0.676512
| 0.676512
| 0.676512
| 0.676512
| 0
| 0.056317
| 0.049348
| 2,148
| 17
| 1,410
| 126.352941
| 0.639569
| 0
| 0
| 0
| 0
| 0
| 0.023277
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ddc50d37cdd507651bf658b83e4d596d8e218cc6
| 34,492
|
py
|
Python
|
optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum150/Output/Histos/MadAnalysis5job_0/selection_4.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum150/Output/Histos/MadAnalysis5job_0/selection_4.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum150/Output/Histos/MadAnalysis5job_0/selection_4.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
def selection_4():
# Library import
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Library version
matplotlib_version = matplotlib.__version__
numpy_version = numpy.__version__
# Histo binning
xBinning = numpy.linspace(-8.0,8.0,161,endpoint=True)
# Creating data sequence: middle of each bin
xData = numpy.array([-7.95,-7.85,-7.75,-7.65,-7.55,-7.45,-7.35,-7.25,-7.15,-7.05,-6.95,-6.85,-6.75,-6.65,-6.55,-6.45,-6.35,-6.25,-6.15,-6.05,-5.95,-5.85,-5.75,-5.65,-5.55,-5.45,-5.35,-5.25,-5.15,-5.05,-4.95,-4.85,-4.75,-4.65,-4.55,-4.45,-4.35,-4.25,-4.15,-4.05,-3.95,-3.85,-3.75,-3.65,-3.55,-3.45,-3.35,-3.25,-3.15,-3.05,-2.95,-2.85,-2.75,-2.65,-2.55,-2.45,-2.35,-2.25,-2.15,-2.05,-1.95,-1.85,-1.75,-1.65,-1.55,-1.45,-1.35,-1.25,-1.15,-1.05,-0.95,-0.85,-0.75,-0.65,-0.55,-0.45,-0.35,-0.25,-0.15,-0.05,0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75,0.85,0.95,1.05,1.15,1.25,1.35,1.45,1.55,1.65,1.75,1.85,1.95,2.05,2.15,2.25,2.35,2.45,2.55,2.65,2.75,2.85,2.95,3.05,3.15,3.25,3.35,3.45,3.55,3.65,3.75,3.85,3.95,4.05,4.15,4.25,4.35,4.45,4.55,4.65,4.75,4.85,4.95,5.05,5.15,5.25,5.35,5.45,5.55,5.65,5.75,5.85,5.95,6.05,6.15,6.25,6.35,6.45,6.55,6.65,6.75,6.85,6.95,7.05,7.15,7.25,7.35,7.45,7.55,7.65,7.75,7.85,7.95])
# Creating weights for histo: y5_ETA_0
y5_ETA_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.26188082801,8.12163959729,10.746970366,12.2822520611,14.3395288126,16.4735709989,18.8839639502,21.3864718233,24.4723892005,27.6350615125,31.6421581068,36.2019442314,40.2550757866,43.7401728245,50.6335819657,54.5485486383,55.8074825684,61.0888580796,62.7315966834,65.3108744913,64.4050552611,66.6312183691,66.4009235648,65.0191697392,64.0365955743,58.7091701022,57.1124664592,51.6929260654,47.7779593928,42.3737639859,36.0330593749,32.547962337,26.6678323346,21.2636519277,17.5789800594,14.1706484561,10.6241474704,8.01416918863,6.18718424142,4.08384852907,3.33156016846,2.45645041222,1.51992920819,1.1361083344,0.598759741105,0.491290082445,0.230292254271,0.0614112528056,0.10746970366,0.0153528169514,0.0153528169514,0.0460584508542,0.245645041222,0.276350615125,0.399173210736,0.675523825862,1.05934424965,1.70416205161,2.80956511211,3.08591587723,4.03779106822,5.78801058068,7.98346421473,10.1482113749,13.6486518998,17.5789800594,21.6321116145,27.4661916561,31.4886182373,36.2633541792,43.2642382291,47.2866648103,52.0460407653,56.0838273335,60.8739082623,62.3631369966,65.725399139,67.0918079776,67.2453328471,66.9536280951,66.0938738258,62.1942521401,59.9220390713,57.4348761852,53.2896147083,48.1924840405,45.5210913109,40.1476158779,36.2786991662,32.210207624,28.7097655991,25.2553735351,21.5860616537,18.6997341068,17.5022101246,14.20135343,12.4818388915,10.7930293268,7.90670027997,7.66105448875,0.0153528169514,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_1
y5_ETA_1_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0454653083971,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0456575075017,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0454926924109,0.0456393516902,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_2
y5_ETA_2_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0751810561008,0.0376234474687,0.0753526492467,0.0375985622789,0.0376527332774,0.0377612612162,0.0376018472479,0.112936971495,0.150704244824,0.0,0.188256461149,0.0376527332774,0.0,0.112929642295,0.150771974067,0.0,0.0377132107967,0.150567267814,0.0,0.113001446759,0.0377635854867,0.0,0.188025583609,0.112872945589,0.0376333643563,0.0375690595382,0.150626629683,0.0375985622789,0.112948794284,0.0,0.0,0.037637625519,0.0375576086321,0.0,0.0,0.0,0.037638648198,0.0377286904385,0.0,0.0,0.0377132107967,0.0377260872555,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0376278480876,0.0377132107967,0.0,0.0,0.0376996835422,0.0752424168429,0.113061877793,0.0753255482523,0.112955395213,0.112991560862,0.0376722881402,0.0752284867148,0.075214696043,0.0,0.112908073064,0.0376722881402,0.0,0.112884659913,0.075239596728,0.0754419012352,0.112862160974,0.0376123374556,0.0752913969706,0.0375701441978,0.112904028834,0.113134766917,0.0376333643563,0.037621665528,0.0752993459758,0.0,0.037638648198,0.0753120209978,0.0,0.0,0.0377612612162,0.0,0.0375701441978,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_3
y5_ETA_3_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.103231020664,0.103124179957,0.0206141473503,0.0617082246507,0.0412701138567,0.28885991633,0.165003764122,0.206319414393,0.123786864951,0.206188091579,0.330155304496,0.453792686912,0.350537001325,0.33008004525,0.37144718869,0.556467474716,0.63945861805,0.433159161068,0.330349698824,0.536171396705,0.536624018608,0.515727390096,0.536087149007,0.495080457746,0.494787647481,0.35062322953,0.350621249024,0.350734442586,0.391913133217,0.309598866058,0.267948053153,0.18563987986,0.206232272108,0.103038637312,0.103137754044,0.0412530510316,0.0825805081681,0.103231340592,0.0,0.0413852117522,0.0824234387699,0.0823842095071,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0412856989191,0.0,0.0206341199964,0.0206926058761,0.0205307984971,0.0825550815119,0.103160545103,0.144478511043,0.144371198061,0.082515532321,0.18574271385,0.0619386337271,0.206270206424,0.309460078258,0.392157040207,0.474399095053,0.247552035739,0.391659780735,0.474476944192,0.371300174171,0.639537533615,0.309536860971,0.68050034904,0.577120805625,0.783566210699,0.495123114809,0.433223146662,0.309349322242,0.474205005418,0.391882663887,0.309215866575,0.309506543987,0.371398894801,0.288849099718,0.144535610568,0.350707629575,0.123717973795,0.164884476694,0.185575741919,0.102999209999,0.0617855101072,0.0619116379004,0.0412776093119,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_4
y5_ETA_4_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0110982283484,0.00741499785736,0.00739325990285,0.0110973595518,0.0222070596239,0.0333083723509,0.0369983533021,0.0776977053404,0.0998974899194,0.103653126648,0.107338943989,0.133180068929,0.136924973463,0.210943084332,0.222079464579,0.270088598386,0.288687611501,0.329344139979,0.377470065313,0.436654209254,0.396038415015,0.455114034526,0.392295825268,0.458883229293,0.403421383135,0.466265145236,0.429229605031,0.36638058205,0.299764468653,0.31459759384,0.307082201866,0.177651035739,0.188755850709,0.114684138992,0.111017200694,0.0888036175793,0.0962373456711,0.0518383927875,0.0407217784165,0.0259101025876,0.0185040767846,0.0111088583315,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00739276387706,0.00739423241403,0.00370503608547,0.0147961472154,0.0185089017628,0.0370141960653,0.0333267102741,0.0777096700837,0.0592134244941,0.0925462975129,0.125813665065,0.166521569791,0.173928737956,0.236830069112,0.299776643832,0.303382150088,0.32194163145,0.388524375839,0.366292950827,0.366394110026,0.433027058237,0.495843614075,0.495884498626,0.440388682216,0.3923281421,0.403387713505,0.370070262379,0.366294003003,0.299678340539,0.284948328592,0.240608733462,0.247971710239,0.222018438376,0.155503183557,0.140671877132,0.0999443267789,0.0740254460379,0.0628902983396,0.0481168615899,0.0444314200262,0.0148174763244,0.0370140457544,0.0111010932732,0.0148177769461,0.00370564634751,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_5
y5_ETA_5_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0018925890214,0.00188880495967,0.00661723015815,0.00189251249993,0.00283195458798,0.00756063185719,0.0122849504034,0.0198535254893,0.0255177797621,0.0236331309686,0.0302510228124,0.0406524962511,0.0491561471999,0.0671111299974,0.0689997699107,0.0850524139512,0.0973626029361,0.11628489214,0.134220519506,0.150287117462,0.194727186428,0.155941904078,0.178666830223,0.165419913412,0.189992307919,0.197553079315,0.177704160118,0.14935068972,0.119110770023,0.132336485885,0.103968671462,0.0992519180389,0.071845183275,0.0548341153206,0.0359308814634,0.0415847828314,0.021733252902,0.0198487541506,0.0132339726795,0.00756525465425,0.00283462683776,0.000946344174636,0.0,0.000945490585136,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0009441411065,0.000945067016291,0.0,0.00472791655576,0.00377939842116,0.00851154466369,0.0122898267716,0.0170167995626,0.0416155264575,0.041580746699,0.0472595100427,0.0699383582593,0.0822452163095,0.106832660039,0.127607774107,0.150321327061,0.169175167059,0.173914696873,0.190947325877,0.193810879331,0.187140757833,0.187200474588,0.171110260006,0.154109289885,0.169245836887,0.149353270444,0.0898103539309,0.102073204634,0.0860236514604,0.0737408151502,0.0548226220958,0.0463280036813,0.034046952872,0.0274104107953,0.017020685653,0.0179574584921,0.0151225930874,0.0132316680328,0.00945916704696,0.00946397589623,0.00378087333499,0.0047299136161,0.000943555042063,0.00283682045325,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_6
y5_ETA_6_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00106484109478,0.00107673265347,0.00214705391234,0.00323006899773,0.00321838138002,0.00536166838246,0.00107418863968,0.00536713430067,0.00322221277125,0.0118104621608,0.0053823623938,0.0161078772784,0.0204044826303,0.0203876387548,0.0257636542353,0.0214609156583,0.0332427623502,0.0493879825719,0.0365075275571,0.0504579604301,0.0666048751614,0.0655090672782,0.0569439959311,0.0697696717984,0.0783327562205,0.0654848867758,0.0740835484022,0.065509517148,0.0579639257728,0.0461500820905,0.0408292468913,0.0354236487217,0.0225428038198,0.0171695138005,0.0118212665341,0.00857939220277,0.00644640946836,0.00215287297835,0.00320978436791,0.00107536767348,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00321855645435,0.00966654009216,0.00859187609005,0.0193262871502,0.0118012510764,0.027938084975,0.0386936774055,0.046122640032,0.0537136307691,0.0569338363712,0.0697995506517,0.0718986431936,0.0890556281199,0.0849008929621,0.0815544238995,0.0794274394292,0.0708995198308,0.0675778310969,0.0440300331132,0.0494048152007,0.0547800096688,0.0332874269247,0.0268182690395,0.0235942620375,0.0193027777036,0.0139919296142,0.0161224942984,0.0107422387948,0.00858370720405,0.00429132687945,0.0096709675609,0.00427509032816,0.00753470827469,0.0,0.00213303746857,0.00214835591055,0.00214399779675,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_7
y5_ETA_7_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.10674874226e-05,0.000323640614967,0.000485789388531,0.000485746640792,0.0,0.000810678488925,0.000324017800897,0.000890661079601,0.000486179775968,0.00120851361932,0.00153934025489,0.00161382457484,0.00234913439997,0.00178215636875,0.00259352102175,0.00307229098013,0.00363817674376,0.00421179481894,0.00396261479264,0.00429268234153,0.00445594884273,0.00558863504587,0.00672357022011,0.00429238687922,0.00607365371782,0.00542493949567,0.00640151787223,0.00615624486352,0.00461749914795,0.00461725869192,0.00348370653275,0.00186345408103,0.00137624018698,0.00129514898399,0.000647918988477,8.09353309026e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0993873302e-05,0.0,0.0,0.000243356275547,0.000404626520216,0.00105358056975,0.00153966227737,0.00186309889762,0.00355806716715,0.00437299465557,0.00647403972522,0.00696558528536,0.0071281759951,0.00696505722506,0.00647375212095,0.00801831278626,0.00737253589954,0.00526060115779,0.00405022251121,0.00347496210562,0.00469879371702,0.0029159977038,0.00405007006523,0.00372594633795,0.00340245754032,0.00267289194257,0.00259310611722,0.00186258341018,0.000405519822226,0.00105264514864,0.00113327178429,0.00137102952052,0.00072982255566,0.000647545574406,0.000567369675941,0.000405413895844,0.0004050728569,0.000324033831299,0.000162118441529,0.00016206390673,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_8
y5_ETA_8_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000106609741085,0.0,0.000106490247721,0.000106490247721,0.000212261530708,0.000106609741085,0.000531462662095,0.000426165232103,0.000422899265756,0.000744389090408,0.000529201698417,0.000319075624377,0.000532735717446,0.000845383255879,0.000419684192668,0.000957910257129,0.000425937326074,0.000212693789322,0.000744870182051,0.000639112429766,0.000745493819366,0.000745279444039,0.000532585710399,0.000425091183873,0.000425986994331,0.0,0.000106490247721,0.000106490247721,0.000106312009949,0.000211507486375,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000212872082776,0.000106381835055,0.000532596735416,0.000213366816485,0.000316916836992,0.000531689788578,0.000425615540355,0.000745275546306,0.000532159242703,0.000745571774031,0.000532655479824,0.000424721288991,0.000425426221885,0.000106609741085,0.000206805093973,0.000212218043141,0.000425793833809,0.000426313791421,0.000319224183695,0.000638112382786,0.000106530338691,0.000106490247721,0.000426160721869,0.0003198235437,0.000213293149327,0.000106683408243,0.0,0.000319485665912,0.0,0.0,0.000106381835055,0.000106683408243,0.0,0.000106381835055,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_9
y5_ETA_9_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_10
y5_ETA_10_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.94542685761,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.948593127,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.95485645769,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_11
y5_ETA_11_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.865024354322,0.0,0.0,0.0,0.0,2.5913477582,0.864823765423,2.58966753797,1.72793791396,0.862434423079,0.863867797923,0.0,0.862434423079,3.4573600705,1.72948412006,2.59308850095,0.0,1.72530374364,1.72945818184,2.58960701546,0.865320914635,1.7288745719,0.864739322107,0.864105997241,0.862434423079,1.72396360229,0.863850649878,0.862575642275,0.0,0.0,0.0,0.0,0.0,0.0,0.862321735924,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.862575642275,0.0,0.0,0.0,2.59023241475,0.0,0.862434423079,0.864244910818,0.0,0.0,0.0,0.0,3.45745373629,2.59257550061,2.59042551039,0.0,2.59376289467,0.0,0.0,4.31995862487,1.72927085025,0.862575642275,0.0,1.72546657802,0.0,0.864567265249,0.865320914635,0.862245074075,0.865320914635,0.864704017308,1.72713815218,0.0,1.72458611956,0.0,2.58834036572,0.0,0.864823765423,0.863850649878,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_12
y5_ETA_12_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.207925139955,0.311897591285,0.10384057495,0.103966738898,0.10397312932,0.519221627681,0.415364001989,0.41511155869,0.51930385207,0.207545176726,0.415648758031,0.103836305052,0.935030506891,1.14183710665,0.727059638635,0.622382077107,1.55828632632,0.830459837068,0.415565956629,1.5581810214,0.934444838436,0.520081810192,1.5574626399,1.24675643673,1.14165347218,1.14105193586,0.727241830571,0.726539316932,0.519570576448,1.24510632307,0.415586152093,0.415503494944,0.830968041493,0.207597396426,0.311436269187,0.104111973135,0.103857640117,0.0,0.311446078412,0.103827476749,0.0,0.0,0.0,0.0,0.103836305052,0.103836305052,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.104111973135,0.0,0.207822575849,0.10351431723,0.208064055897,0.103973980415,0.103720065732,0.311851430225,0.207700104786,0.415863551216,0.518962115969,0.311401504138,1.03805333865,0.831211541087,1.03836045396,0.726393044071,0.726621541321,0.726544654304,1.14172314653,1.14266584194,0.831093830383,0.726642313798,0.623289574705,0.726432569479,0.83064794339,1.24634949813,0.726541336478,0.934563126154,0.726642890811,0.830968474253,0.519028761001,0.415126705288,0.622736363246,0.62314921623,0.31180901975,0.622766512188,0.208054102418,0.311414342683,0.103720065732,0.103848523308,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_13
y5_ETA_13_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0376688285919,0.0,0.0752697011126,0.113463835142,0.0756489897537,0.30269855311,0.151306604876,0.113483725834,0.226806778572,0.189034104182,0.151413045112,0.18908501434,0.189088428074,0.151173742336,0.264946975599,0.264861404658,0.453569679278,0.264578975039,0.226674302922,0.226946377547,0.340328374098,0.113452751884,0.491545652926,0.113522483097,0.226551931926,0.226869409217,0.188746326379,0.226757484248,0.113237231457,0.0,0.11357846834,0.113607917488,0.226961261429,0.0378575853415,0.151303168384,0.0,0.0378457055461,0.0378738574751,0.0756247294818,0.0378575853415,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0757451432704,0.0757032908876,0.0754671059892,0.0755343110388,0.0378751774524,0.189013599018,0.113500840022,0.188658388583,0.188889521154,0.26477105449,0.189014304523,0.416103262373,0.37793179554,0.302433874909,0.302432281833,0.302338973095,0.264804509086,0.151085076277,0.226919431804,0.302414302833,0.302542886825,0.378075172382,0.188944459519,0.151299709133,0.226882517957,0.264539830885,0.0756093904356,0.264545748025,0.0756564544528,0.151384142162,0.075556409279,0.188852106626,0.0377222876713,0.226851703315,0.151242017023,0.0378199204729,0.0378457055461,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_14
y5_ETA_14_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0212364104754,0.0424661552522,0.0212049431844,0.0424764279305,0.0847955626896,0.0529844543658,0.0212170337804,0.0530295271843,0.0318431671595,0.074265706813,0.106053283201,0.127358413854,0.0954765221603,0.08489968898,0.0424029753956,0.148529797699,0.148572937176,0.148575534202,0.127268701055,0.18040179184,0.0318422293447,0.0955558901419,0.12733390082,0.0424589845766,0.0636386933309,0.106137268117,0.0529830260019,0.0849158771049,0.0742471813652,0.106029505991,0.0530482113392,0.0424573830776,0.0530214764056,0.0212489916206,0.0424532711207,0.0212331930495,0.0106050195626,0.010612954918,0.0105821455401,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0105880480017,0.0212159949702,0.0,0.0106258145221,0.0318520836133,0.0212596827085,0.0424253242419,0.0530716711353,0.0424372849866,0.0424370541399,0.0954933451137,0.0636734646153,0.0742557082652,0.106011326813,0.0847951009962,0.127240451189,0.148496324927,0.106105324704,0.0848741082798,0.0954325314357,0.148553170928,0.0848801535778,0.159182363026,0.148474394491,0.127335055053,0.14849935479,0.0742845063913,0.0636389674613,0.106165705545,0.0742795576151,0.127390717964,0.0742670486095,0.0636761337803,0.0424332018856,0.0105803535926,0.0424250789673,0.0318391417701,0.0,0.0106099106271,0.0106140514398,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_15
y5_ETA_15_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00570977527407,0.00576830561519,0.00569557038665,0.0,0.0114133367409,0.0,0.0171036683828,0.00575871454612,0.0171342942087,0.00571686220542,0.0114668721029,0.0113853480158,0.0114071273658,0.0,0.0114122242833,0.00567245254178,0.00572416630978,0.0,0.00565686040638,0.00579528825314,0.00570610992558,0.00571145947289,0.0113856449666,0.00571686220542,0.00576110788128,0.0,0.0,0.00571859958947,0.00576110788128,0.00575000989748,0.00570610992558,0.00570356146684,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00579528825314,0.0057457417831,0.00567245254178,0.0114397875266,0.00565686040638,0.00570610992558,0.00568977762912,0.0,0.0,0.0,0.0114755767515,0.0114755368626,0.0114561198231,0.0227954404579,0.0113137208128,0.0114914392452,0.00570723124743,0.00566683706835,0.0114535713643,0.00565686040638,0.0114255471824,0.0,0.0113961889377,0.0,0.0,0.0,0.00567245254178,0.0,0.00570356146684,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y5_ETA_16
y5_ETA_16_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000677831356586,0.0,0.0,0.0,0.0,0.000677572647121,0.0,0.00203329180862,0.00202996410039,0.0,0.0,0.0,0.0,0.00135575222203,0.00067557963141,0.00271098789134,0.00135206517905,0.00135365194006,0.000678638379971,0.00067734800877,0.00203016621716,0.000677464225912,0.0,0.000677001811618,0.0,0.0,0.0,0.000677073851809,0.00067734800877,0.000675013560088,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000677073851809,0.0,0.0,0.00067734800877,0.000677464225912,0.00135464144601,0.00067734800877,0.0,0.0,0.0,0.00067499508084,0.0,0.000677876111013,0.0,0.0013523113284,0.00338573595661,0.0,0.0,0.0,0.000677464225912,0.0020345752501,0.0,0.00135492772998,0.0,0.000676507636118,0.0,0.0,0.00135077480785,0.0,0.000677831356586,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating a new Canvas
fig = plt.figure(figsize=(12,6),dpi=80)
frame = gridspec.GridSpec(1,1,right=0.7)
pad = fig.add_subplot(frame[0])
# Creating a new Stack
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights+y5_ETA_13_weights+y5_ETA_14_weights+y5_ETA_15_weights+y5_ETA_16_weights,\
label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#e5e5e5", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights+y5_ETA_13_weights+y5_ETA_14_weights+y5_ETA_15_weights,\
label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#f2f2f2", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights+y5_ETA_13_weights+y5_ETA_14_weights,\
label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights+y5_ETA_13_weights,\
label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights,\
label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#c1bfa8", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights,\
label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#bab5a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights,\
label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b2a596", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights,\
label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b7a39b", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights,\
label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ad998c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights,\
label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#9b8e82", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights,\
label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#876656", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights,\
label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#afcec6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights,\
label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#84c1a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights,\
label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#89a8a0", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights,\
label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#829e8c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights+y5_ETA_1_weights,\
label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#adbcc6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y5_ETA_0_weights,\
label="$signal$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#7a8e99", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
# Axis
plt.rc('text',usetex=False)
plt.xlabel(r"\eta [ j_{2} ] ",\
fontsize=16,color="black")
plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 150.0\ \mathrm{fb}^{-1})$ ",\
fontsize=16,color="black")
# Boundary of y-axis
ymax=(y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights+y5_ETA_13_weights+y5_ETA_14_weights+y5_ETA_15_weights+y5_ETA_16_weights).max()*1.1
ymin=0 # linear scale
#ymin=min([x for x in (y5_ETA_0_weights+y5_ETA_1_weights+y5_ETA_2_weights+y5_ETA_3_weights+y5_ETA_4_weights+y5_ETA_5_weights+y5_ETA_6_weights+y5_ETA_7_weights+y5_ETA_8_weights+y5_ETA_9_weights+y5_ETA_10_weights+y5_ETA_11_weights+y5_ETA_12_weights+y5_ETA_13_weights+y5_ETA_14_weights+y5_ETA_15_weights+y5_ETA_16_weights) if x])/100. # log scale
plt.gca().set_ylim(ymin,ymax)
# Log/Linear scale for X-axis
plt.gca().set_xscale("linear")
#plt.gca().set_xscale("log",nonposx="clip")
# Log/Linear scale for Y-axis
plt.gca().set_yscale("linear")
#plt.gca().set_yscale("log",nonposy="clip")
# Legend
plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.)
# Saving the image
plt.savefig('../../HTML/MadAnalysis5job_0/selection_4.png')
plt.savefig('../../PDF/MadAnalysis5job_0/selection_4.png')
plt.savefig('../../DVI/MadAnalysis5job_0/selection_4.eps')
# Running!
if __name__ == '__main__':
selection_4()
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|
0
| 7
|
ddece04942949ccc942c631cd1455436773e1582
| 11,790
|
py
|
Python
|
sdk/python/pulumi_oci/managementdashboard/management_dashboards_import.py
|
EladGabay/pulumi-oci
|
6841e27d4a1a7e15c672306b769912efbfd3ba99
|
[
"ECL-2.0",
"Apache-2.0"
] | 5
|
2021-08-17T11:14:46.000Z
|
2021-12-31T02:07:03.000Z
|
sdk/python/pulumi_oci/managementdashboard/management_dashboards_import.py
|
pulumi-oci/pulumi-oci
|
6841e27d4a1a7e15c672306b769912efbfd3ba99
|
[
"ECL-2.0",
"Apache-2.0"
] | 1
|
2021-09-06T11:21:29.000Z
|
2021-09-06T11:21:29.000Z
|
sdk/python/pulumi_oci/managementdashboard/management_dashboards_import.py
|
pulumi-oci/pulumi-oci
|
6841e27d4a1a7e15c672306b769912efbfd3ba99
|
[
"ECL-2.0",
"Apache-2.0"
] | 2
|
2021-08-24T23:31:30.000Z
|
2022-01-02T19:26:54.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['ManagementDashboardsImportArgs', 'ManagementDashboardsImport']
@pulumi.input_type
class ManagementDashboardsImportArgs:
def __init__(__self__, *,
import_details: Optional[pulumi.Input[str]] = None,
import_details_file: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a ManagementDashboardsImport resource.
:param pulumi.Input[str] import_details: Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
if import_details is not None:
pulumi.set(__self__, "import_details", import_details)
if import_details_file is not None:
pulumi.set(__self__, "import_details_file", import_details_file)
@property
@pulumi.getter(name="importDetails")
def import_details(self) -> Optional[pulumi.Input[str]]:
"""
Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
return pulumi.get(self, "import_details")
@import_details.setter
def import_details(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "import_details", value)
@property
@pulumi.getter(name="importDetailsFile")
def import_details_file(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "import_details_file")
@import_details_file.setter
def import_details_file(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "import_details_file", value)
@pulumi.input_type
class _ManagementDashboardsImportState:
def __init__(__self__, *,
import_details: Optional[pulumi.Input[str]] = None,
import_details_file: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering ManagementDashboardsImport resources.
:param pulumi.Input[str] import_details: Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
if import_details is not None:
pulumi.set(__self__, "import_details", import_details)
if import_details_file is not None:
pulumi.set(__self__, "import_details_file", import_details_file)
@property
@pulumi.getter(name="importDetails")
def import_details(self) -> Optional[pulumi.Input[str]]:
"""
Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
return pulumi.get(self, "import_details")
@import_details.setter
def import_details(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "import_details", value)
@property
@pulumi.getter(name="importDetailsFile")
def import_details_file(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "import_details_file")
@import_details_file.setter
def import_details_file(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "import_details_file", value)
class ManagementDashboardsImport(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
import_details: Optional[pulumi.Input[str]] = None,
import_details_file: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
This resource provides the Management Dashboards Import resource in Oracle Cloud Infrastructure Management Dashboard service.
Imports an array of dashboards and their saved searches. Import is designed to work with exportDashboard. An example using Oracle Cloud Infrastructure CLI is
$oci management-dashboard dashboard export --query data --export-dashboard-id "{\"dashboardIds\":[\"ocid1.managementdashboard.oc1..dashboardId1\"]}" > dashboards.json
$oci management-dashboard dashboard import --from-json file://dashboards.json
## Example Usage
```python
import pulumi
import pulumi_oci as oci
test_management_dashboards_import = oci.managementdashboard.ManagementDashboardsImport("testManagementDashboardsImport",
import_details=var["sample_import_details"],
import_details_file=var["sample_import_details_file_path"])
```
## Import
ManagementDashboardsImport can be imported using the `id`, e.g.
```sh
$ pulumi import oci:managementdashboard/managementDashboardsImport:ManagementDashboardsImport test_management_dashboards_import "id"
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] import_details: Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[ManagementDashboardsImportArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
This resource provides the Management Dashboards Import resource in Oracle Cloud Infrastructure Management Dashboard service.
Imports an array of dashboards and their saved searches. Import is designed to work with exportDashboard. An example using Oracle Cloud Infrastructure CLI is
$oci management-dashboard dashboard export --query data --export-dashboard-id "{\"dashboardIds\":[\"ocid1.managementdashboard.oc1..dashboardId1\"]}" > dashboards.json
$oci management-dashboard dashboard import --from-json file://dashboards.json
## Example Usage
```python
import pulumi
import pulumi_oci as oci
test_management_dashboards_import = oci.managementdashboard.ManagementDashboardsImport("testManagementDashboardsImport",
import_details=var["sample_import_details"],
import_details_file=var["sample_import_details_file_path"])
```
## Import
ManagementDashboardsImport can be imported using the `id`, e.g.
```sh
$ pulumi import oci:managementdashboard/managementDashboardsImport:ManagementDashboardsImport test_management_dashboards_import "id"
```
:param str resource_name: The name of the resource.
:param ManagementDashboardsImportArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(ManagementDashboardsImportArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
import_details: Optional[pulumi.Input[str]] = None,
import_details_file: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = ManagementDashboardsImportArgs.__new__(ManagementDashboardsImportArgs)
__props__.__dict__["import_details"] = import_details
__props__.__dict__["import_details_file"] = import_details_file
super(ManagementDashboardsImport, __self__).__init__(
'oci:managementdashboard/managementDashboardsImport:ManagementDashboardsImport',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
import_details: Optional[pulumi.Input[str]] = None,
import_details_file: Optional[pulumi.Input[str]] = None) -> 'ManagementDashboardsImport':
"""
Get an existing ManagementDashboardsImport resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] import_details: Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ManagementDashboardsImportState.__new__(_ManagementDashboardsImportState)
__props__.__dict__["import_details"] = import_details
__props__.__dict__["import_details_file"] = import_details_file
return ManagementDashboardsImport(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="importDetails")
def import_details(self) -> pulumi.Output[Optional[str]]:
"""
Array of Dashboards to import. The `import_details` is mandatory if `import_details_path` is not passed. Value should be stringified JSON of [ManagementDashboardImportDetails](https://docs.cloud.oracle.com/en-us/iaas/api/#/en/managementdashboard/20200901/ManagementDashboardImportDetails/)
"""
return pulumi.get(self, "import_details")
@property
@pulumi.getter(name="importDetailsFile")
def import_details_file(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "import_details_file")
| 51.710526
| 338
| 0.705683
| 1,280
| 11,790
| 6.241406
| 0.1375
| 0.130179
| 0.065966
| 0.049568
| 0.76693
| 0.744524
| 0.744524
| 0.734635
| 0.72337
| 0.716235
| 0
| 0.006716
| 0.204411
| 11,790
| 227
| 339
| 51.938326
| 0.844989
| 0.454029
| 0
| 0.634783
| 1
| 0
| 0.119537
| 0.027036
| 0
| 0
| 0
| 0
| 0
| 1
| 0.147826
| false
| 0.008696
| 0.591304
| 0.026087
| 0.826087
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
348638d74931eb7a7f0f4af8831c6dd44b30b392
| 1,087
|
py
|
Python
|
hook.py
|
ruben-gil/Serverless-Framework-Meetup
|
8281ba97ae2007f7a1eb7ab0cd4b8031b8689d7f
|
[
"MIT"
] | 1
|
2019-11-27T15:47:32.000Z
|
2019-11-27T15:47:32.000Z
|
hook.py
|
ruben-gil/serverless-framework-meetup
|
8281ba97ae2007f7a1eb7ab0cd4b8031b8689d7f
|
[
"MIT"
] | null | null | null |
hook.py
|
ruben-gil/serverless-framework-meetup
|
8281ba97ae2007f7a1eb7ab0cd4b8031b8689d7f
|
[
"MIT"
] | null | null | null |
import logging
import boto3
codedeploy = boto3.client('codedeploy')
def pre(event, context):
deployment_id = event['DeploymentId']
lifecycle_event_hook_execution_id = event['LifecycleEventHookExecutionId']
logging.warning('Check some stuff before traffic has been shifted...')
return codedeploy.put_lifecycle_event_hook_execution_status(
deploymentId=deployment_id,
lifecycleEventHookExecutionId=lifecycle_event_hook_execution_id,
status='Succeeded') # status can be 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'
def post(event, context):
deployment_id = event['DeploymentId']
lifecycle_event_hook_execution_id = event['LifecycleEventHookExecutionId']
logging.warning('Check some stuff before traffic has been shifted...')
return codedeploy.put_lifecycle_event_hook_execution_status(
deploymentId=deployment_id,
lifecycleEventHookExecutionId=lifecycle_event_hook_execution_id,
status='Succeeded') # status can be 'Pending'|'InProgress'|'Succeeded'|'Failed'|'Skipped'|'Unknown'
| 36.233333
| 108
| 0.76173
| 114
| 1,087
| 7
| 0.324561
| 0.105263
| 0.135338
| 0.203008
| 0.914787
| 0.914787
| 0.914787
| 0.914787
| 0.914787
| 0.914787
| 0
| 0.002141
| 0.140754
| 1,087
| 29
| 109
| 37.482759
| 0.852248
| 0.142594
| 0
| 0.736842
| 0
| 0
| 0.228448
| 0.0625
| 0
| 0
| 0
| 0
| 0
| 1
| 0.105263
| false
| 0
| 0.105263
| 0
| 0.315789
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
34bb2dca8a0cb6ad72b17f7cf2e375261743f890
| 4,824
|
py
|
Python
|
apps/csv/info.py
|
jeonghoonkang/BerePi
|
e04283a94a6a0487ab0049dc3e514d6c5dda39cc
|
[
"BSD-2-Clause"
] | 22
|
2015-06-03T06:28:27.000Z
|
2022-03-18T08:02:45.000Z
|
apps/csv/info.py
|
jeonghoonkang/BerePi
|
e04283a94a6a0487ab0049dc3e514d6c5dda39cc
|
[
"BSD-2-Clause"
] | 14
|
2015-06-08T01:31:53.000Z
|
2020-08-30T02:19:15.000Z
|
apps/csv/info.py
|
jeonghoonkang/BerePi
|
e04283a94a6a0487ab0049dc3e514d6c5dda39cc
|
[
"BSD-2-Clause"
] | 26
|
2015-05-12T09:33:55.000Z
|
2021-08-30T05:41:00.000Z
|
host='***'
#port='7776'
id=''
passwd=''
local_path='/Users/tinyos/Downloads/정상CSV'
#local_path='../../../data_files/MD/'
#server_path='/home/data/data_original/ev_data/'
server_path='/home/data/SW-Platform/data_files/EV/'
todo='download'
# if you want to carry out directly,
# sudo rsync -avhz --progress -e 'ssh -p **' ***@****:/home/data/data_original/ev_data/ ./
fields_name="data_occurrence_time,car_speed,brake_status,mission_gear_mode,BCM_taillight_status,BCM_headlight_status,BCM_leftturn_indicator,BCM_rightturn_indicator,BCM_seatbelt_status,ECU_battery_supply_voltage,electronic_accelerator_pedal_position,BCM_door_left_status,BCM_door_right_status,BCM_trunk_status,EV_battery_charge_status,EV_BMS_main_relay_status,EV_battery_availability,EV_BMS_warning_status,EV_BMS_fault_status,EV_BMS_fusion_status,EV_OPD_active_status,EV_winter_mode_active_status,EV_battery_pack_current,EV_battery_pack_maximum_voltage,EV_battery_maximum_temperature,EV_battery_minimum_temperature,EV_battery_module_temperature_01,EV_battery_module_temperature_02,EV_battery_module_temperature_03,EV_battery_module_temperature_04,EV_maximum_cell_voltage,EV_maximum_cell_voltage_cell_number,EV_minimum_cell_voltage,EV_minimum_cell_voltage_cell_number,EV_accumulated_charge_current_amount,EV_acumulative_discharge_current_amount,EV_accumulated_charge_power,EV_accumulated_discharge_power,EV_total_operating_time,EV_insulation_resistance,EV_charge_power,EV_discarge_power,EV_volage_deviation_between_battery_cells,EV_quick_charge_progress_status,EV_quick_charge_relay_status,EV_slow_charge_connector_status,EV_quick_charge_connector_status,EV_battery_SOH,EV_display,EV_battery_quick_charge_inlet_temperature,TPMS_sensor_pressure_FL,TPMS_sensor_pressure_FR,TPMS_sensor_pressure_RL,TPMS_sensor_pressure_RR,TPMS_sensor_temperature_FL,TPMS_sensor_temperature_FR,TPMS_sensor_temperature_RL,TPMS_sensor_temperature_RR,TPMS_sensor_status_FL,TPMS_sensor_status_FR,TPMS_sensor_status_RL,TPMS_sensor_status_RR,TPMS_sensor_battery_FL,TPMS_sensor_battery_FR,TPMS_sensor_battery_RL,TPMS_sensor_battery_RR,ODO_total_mileage,EV_battery_cell_voltage_1,EV_battery_cell_voltage_2,EV_battery_cell_voltage_3,EV_battery_cell_voltage_4,EV_battery_cell_voltage_5,EV_battery_cell_voltage_6,EV_battery_cell_voltage_7,EV_battery_cell_voltage_8,EV_battery_cell_voltage_9,EV_battery_cell_voltage_10,EV_battery_cell_voltage_11,EV_battery_cell_voltage_12,EV_battery_cell_voltage_13,EV_battery_cell_voltage_14,EV_battery_cell_voltage_15,EV_battery_cell_voltage_16,EV_battery_cell_voltage_17,EV_battery_cell_voltage_18,EV_battery_cell_voltage_19,EV_battery_cell_voltage_20,EV_battery_cell_voltage_21,EV_battery_cell_voltage_22,EV_battery_cell_voltage_23,EV_battery_cell_voltage_24,EV_battery_cell_voltage_25,EV_battery_cell_voltage_26,EV_battery_cell_voltage_27,EV_battery_cell_voltage_28,EV_battery_cell_voltage_29,EV_battery_cell_voltage_30,EV_battery_cell_voltage_31,EV_battery_cell_voltage_32,EV_battery_cell_voltage_33,EV_battery_cell_voltage_34,EV_battery_cell_voltage_35,EV_battery_cell_voltage_36,EV_battery_cell_voltage_37,EV_battery_cell_voltage_38,EV_battery_cell_voltage_39,EV_battery_cell_voltage_40,EV_battery_cell_voltage_41,EV_battery_cell_voltage_42,EV_battery_cell_voltage_43,EV_battery_cell_voltage_44,EV_battery_cell_voltage_45,EV_battery_cell_voltage_46,EV_battery_cell_voltage_47,EV_battery_cell_voltage_48,EV_battery_cell_voltage_49,EV_battery_cell_voltage_50,EV_battery_cell_voltage_51,EV_battery_cell_voltage_52,EV_battery_cell_voltage_53,EV_battery_cell_voltage_54,EV_battery_cell_voltage_55,EV_battery_cell_voltage_56,EV_battery_cell_voltage_57,EV_battery_cell_voltage_58,EV_battery_cell_voltage_59,EV_battery_cell_voltage_60,EV_battery_cell_voltage_61,EV_battery_cell_voltage_62,EV_battery_cell_voltage_63,EV_battery_cell_voltage_64,EV_battery_cell_voltage_65,EV_battery_cell_voltage_66,EV_battery_cell_voltage_67,EV_battery_cell_voltage_68,EV_battery_cell_voltage_69,EV_battery_cell_voltage_70,EV_battery_cell_voltage_71,EV_battery_cell_voltage_72,EV_battery_cell_voltage_73,EV_battery_cell_voltage_74,EV_battery_cell_voltage_75,EV_battery_cell_voltage_76,EV_battery_cell_voltage_77,EV_battery_cell_voltage_78,EV_battery_cell_voltage_79,EV_battery_cell_voltage_80,EV_battery_cell_voltage_81,EV_battery_cell_voltage_82,EV_battery_cell_voltage_83,EV_battery_cell_voltage_84,EV_battery_cell_voltage_85,EV_battery_cell_voltage_86,EV_battery_cell_voltage_87,EV_battery_cell_voltage_88,EV_battery_cell_voltage_89,EV_battery_cell_voltage_90,EV_battery_cell_voltage_91,EV_battery_cell_voltage_92,EV_battery_cell_voltage_93,EV_battery_cell_voltage_94,EV_battery_cell_voltage_95,EV_battery_cell_voltage_96,EV_battery_cell_voltage_97,EV_battery_cell_voltage_98,EV_battery_collant_inlet_temperature,EV_battery_LTR_rear_end_temperature,latitude,longtitude"
| 402
| 4,453
| 0.940299
| 829
| 4,824
| 4.726176
| 0.267793
| 0.257274
| 0.325166
| 0.500255
| 0.025013
| 0.013272
| 0
| 0
| 0
| 0
| 0
| 0.041502
| 0.006012
| 4,824
| 12
| 4,453
| 402
| 0.776434
| 0.045398
| 0
| 0
| 0
| 0.142857
| 0.982395
| 0.980004
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.142857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
34d0a88617286128b4fe88ee02bb33d9ab25b2a6
| 151
|
py
|
Python
|
src/mindmap/tree.py
|
RisingOrange/anki-mindmap
|
63708a016bf32878bb77873cf5e2b1bdde4df4f1
|
[
"MIT"
] | 4
|
2021-02-26T18:16:46.000Z
|
2021-05-09T04:12:51.000Z
|
src/mindmap/tree.py
|
RisingOrange/anki-mindmap
|
63708a016bf32878bb77873cf5e2b1bdde4df4f1
|
[
"MIT"
] | 11
|
2021-02-28T02:08:54.000Z
|
2022-03-15T23:48:55.000Z
|
src/mindmap/tree.py
|
RisingOrange/anki-mindmap
|
63708a016bf32878bb77873cf5e2b1bdde4df4f1
|
[
"MIT"
] | null | null | null |
from collections import defaultdict
def tree(dictionary=None):
return defaultdict(tree) if dictionary is None else defaultdict(tree, dictionary)
| 25.166667
| 85
| 0.801325
| 19
| 151
| 6.368421
| 0.631579
| 0.231405
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139073
| 151
| 5
| 86
| 30.2
| 0.930769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
34f28f40776ba793ed7ef7e103de6ff386d567ff
| 74,129
|
py
|
Python
|
userbot/utils/google_images_download.py
|
Ilham-Dark/XBot-Remix
|
90e1ace61018e614f6ce7103fef13444252e9c1a
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null |
userbot/utils/google_images_download.py
|
Ilham-Dark/XBot-Remix
|
90e1ace61018e614f6ce7103fef13444252e9c1a
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null |
userbot/utils/google_images_download.py
|
Ilham-Dark/XBot-Remix
|
90e1ace61018e614f6ce7103fef13444252e9c1a
|
[
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null |
# Encript Marshal By XVenom
# https://github.com/xvenom15
import marshal
exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00+\x00\x00\x00@\x00\x00\x00s~\x01\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x01l\x01Z\x01d\x00d\x01l\x02Z\x02d\x00d\x01l\x03Z\x03d\x00d\x01l\x04Z\x04d\x00d\x01l\x05Z\x05d\x00d\x01l\x06Z\x06d\x00d\x01l\x07Z\x07d\x00d\x01l\x08Z\x08d\x02Z\te\x08j\nZ\x0be\x0be\tk\x05r\xa8d\x00d\x01l\x0cZ\rd\x00d\x01l\x0eZ\x0fd\x00d\x03l\x0cm\x10Z\x10m\x11Z\x11\x01\x00d\x00d\x04l\x12m\x13Z\x13\x01\x00d\x00d\x05l\x0em\x14Z\x14m\x15Z\x15m\x16Z\x16m\x17Z\x17\x01\x00d\x06e\rj\x18_\x19nJd\x00d\x04l\x0fm\x13Z\x13\x01\x00d\x00d\x01l\x1aZ\x1ad\x00d\x01l\x1bZ\x1bd\x00d\x03l\x1am\x10Z\x10m\x11Z\x11\x01\x00d\x00d\x05l\x1bm\x14Z\x14m\x15Z\x15m\x16Z\x16m\x17Z\x17\x01\x00d\x06e\x1a_\x19d\x07d\x08d\td\nd\x0bd\x0cd\rd\x0ed\x0fd\x10d\x11d\x12d\x13d\x14d\x15d\x16d\x17d\x18d\x19d\x1ad\x1bd\x1cd\x1dd\x1ed\x1fd d!d"d#d$d%d&d\'d(d)d*d+d,d-d.d/d0d1g+Z\x1cd2d3\x84\x00Z\x1dG\x00d4d5\x84\x00d5\x83\x02Z\x1ed6d7\x84\x00Z\x1fe d8k\x02\x90\x01rze\x1f\x83\x00\x01\x00d\x01S\x00)9\xe9\x00\x00\x00\x00N\xa9\x02\xe9\x03\x00\x00\x00r\x01\x00\x00\x00)\x02\xda\rBadStatusLine\xda\x0eIncompleteRead)\x01\xda\x05quote)\x04\xda\tHTTPError\xda\x07Request\xda\x08URLError\xda\x07urlopeni\xe8\x03\x00\x00\xda\x08keywords\xda\x12keywords_from_file\xda\x0fprefix_keywords\xda\x0fsuffix_keywords\xda\x05limit\xda\x06format\xda\x05color\xda\ncolor_type\xda\x0cusage_rights\xda\x04size\xda\nexact_size\xda\x0caspect_ratio\xda\x04type\xda\x04time\xda\ntime_range\xda\x05delay\xda\x03url\xda\x0csingle_image\xda\x10output_directory\xda\x0fimage_directory\xda\x0cno_directory\xda\x05proxy\xda\x0esimilar_images\xda\rspecific_site\xda\nprint_urls\xda\nprint_size\xda\x0bprint_paths\xda\x08metadata\xda\x10extract_metadata\xda\x0esocket_timeout\xda\tthumbnail\xda\x0ethumbnail_only\xda\x08language\xda\x06prefix\xda\x0cchromedriver\xda\x0erelated_images\xda\x0bsafe_search\xda\x0cno_numbering\xda\x06offset\xda\x0bno_download\xda\x0bsave_source\xda\x0bsilent_mode\xda\x0bignore_urlsc\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0c\x00\x00\x00#\x00\x00\x00C\x00\x00\x00s\x00\x05\x00\x00t\x00\xa0\x01\xa1\x00}\x00|\x00j\x02d\x01d\x02d\x03d\x04t\x03d\x05d\x06\x8d\x06\x01\x00|\x00\xa0\x04\xa1\x00}\x01t\x05|\x01d\x07\x19\x00\x83\x01}\x02|\x02d\x08\x19\x00d\x04k\x03r\xbcg\x00}\x03t\x06\xa0\x07t\x08|\x01d\x07\x19\x00j\t\x83\x01\xa1\x01}\x04t\nd\x07t\x0b|\x04d\t\x19\x00\x83\x01\x83\x02D\x00]F}\x05i\x00}\x06t\x0cD\x00]\x0c}\x07d\x00|\x06|\x07<\x00qt|\x04d\t\x19\x00|\x05\x19\x00\xa0\r\xa1\x00D\x00]\x10\\\x02}\x08}\t|\t|\x06|\x08<\x00q\x92|\x03\xa0\x0e|\x06\xa1\x01\x01\x00qht\x0b|\x03\x83\x01\x01\x00\x90\x04n@t\x00\xa0\x01\xa1\x00}\n|\nj\x02d\nd\x0bd\x0ct\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x0ed\x0fd\x10t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x11d\x12d\x13t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x14d\x15d\x16t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x17d\x18d\x0ct\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x19d\x1ad\x1bt\x03d\x05d\x1cd\x1dd\x1ed\x1fd d!d"g\x07d#\x8d\x06\x01\x00|\nj\x02d$d%d&t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\'d(d)t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d*d+d,t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d-d.d/t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d0d1d\x05d2d3d4\x8d\x05\x01\x00|\nj\x02d5d6d7t\x0fd\x05d\r\x8d\x05\x01\x00|\nj\x02d8d9d:t\x03d\x05d;d<d=d>d?d@dAdBdCdDdEdFg\x0cd#\x8d\x06\x01\x00|\nj\x02dGdHd:t\x03d\x05dIdJdKg\x03d#\x8d\x06\x01\x00|\nj\x02dLdMdNt\x03d\x05dOdPdQdRg\x04d#\x8d\x06\x01\x00|\nj\x02dSdTdUt\x03d\x05dVdWdXdYdZd[d\\d]d^d_d`dadbdcdddedfg\x11d#\x8d\x06\x01\x00|\nj\x02dgdhdit\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02djdkdlt\x03d\x05dmdndodpdqg\x05d#\x8d\x06\x01\x00|\nj\x02drdsdtt\x03d\x05dudvdwdxg\x04d#\x8d\x06\x01\x00|\nj\x02dydzd{t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d|d}d~t\x03d\x05d\x7fd\x80d\x81d\x82g\x04d#\x8d\x06\x01\x00|\nj\x02d\x83d\x84d\x85t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x86d\x87d\x88t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\x89d\x8ad\x05d\x8bd3d4\x8d\x05\x01\x00|\nj\x02d\x8cd\x8dd\x05d\x8ed3d4\x8d\x05\x01\x00|\nj\x02d\x8fd\x90d\x05d\x91d3d4\x8d\x05\x01\x00|\nj\x02d\x92d\x93d\x05d\x94d3d4\x8d\x05\x01\x00|\nj\x02d\x95d\x96d\x05d\x97d3d4\x8d\x05\x01\x00|\nj\x02d\x98d\x99d\x05d\x9at\x10d\x9b\x8d\x05\x01\x00|\nj\x02d\x9cd\x9dd\x05d\x9ed3d4\x8d\x05\x01\x00|\nj\x02d\x9fd\xa0d\x05d\xa1d3d4\x8d\x05\x01\x00|\nj\x02d\xa2d\xa3d\x05d\xa4t\x03d\x05d\xa5d\xa6d\xa7d\xa8d\xa9d\xaad\xabd\xacd\xadd\xaed\xafd\xb0d\xb1d\xb2d\xb3d\xb4d\xb5d\xb6d\xb7d\xb8d\xb9d\xbad\xbbd\xbcd\xbdd\xbed\xbfd\xc0g\x1cd\xc1\x8d\x07\x01\x00|\nj\x02d\xc2d\xc3d\x05d\xc4t\x03d\x05d\xc5\x8d\x06\x01\x00|\nj\x02d\xc6d\xc7d\xc8t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\xc9d\xcad\xcbt\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\xccd\xcdd\x05d\xced3d4\x8d\x05\x01\x00|\nj\x02d\xcfd\xd0d\x05d\xd1d3d4\x8d\x05\x01\x00|\nj\x02d\xd2d\xd3d\x05d\xd4d3d4\x8d\x05\x01\x00|\nj\x02d\xd5d\xd6d\xd7t\x03d\x05d\r\x8d\x05\x01\x00|\nj\x02d\xd8d\xd9d\x05d\xdad3d4\x8d\x05\x01\x00|\nj\x02d\xdbd\xdcd\x05d\xddt\x03d\x9b\x8d\x05\x01\x00|\nj\x02d\xded\xdfd\x05d\xe0d3d4\x8d\x05\x01\x00|\nj\x02d\xe1d\xe2d\xe3t\x03d\x05d\r\x8d\x05\x01\x00|\n\xa0\x11\xa1\x00}\x0bt\x05|\x0b\x83\x01}\x06g\x00}\x03|\x03\xa0\x0e|\x06\xa1\x01\x01\x00|\x03S\x00)\xe4Nz\x03-cfz\r--config_filez\x10config file name\xda\x00F)\x04\xda\x04help\xda\x07defaultr\x17\x00\x00\x00\xda\x08requiredr\x01\x00\x00\x00\xda\x0bconfig_file\xda\x07Recordsz\x02-kz\n--keywordsz\x14delimited list input)\x03r7\x00\x00\x00r\x17\x00\x00\x00r9\x00\x00\x00z\x03-kfz\x14--keywords_from_filez)extract list of keywords from a text filez\x03-skz\x11--suffix_keywordsz<comma separated additional words added after to main keywordz\x03-pkz\x11--prefix_keywordsz:comma separated additional words added before main keywordz\x02-lz\x07--limitz\x02-fz\x08--formatz$download images with specific format\xda\x03jpg\xda\x03gif\xda\x03png\xda\x03bmp\xda\x03svg\xda\x04webp\xda\x03ico)\x04r7\x00\x00\x00r\x17\x00\x00\x00r9\x00\x00\x00\xda\x07choicesz\x02-uz\x05--urlz\x1csearch with google image URLz\x02-xz\x0e--single_imagez#downloading a single image from URLz\x02-oz\x12--output_directoryz,download images in a specific main directoryz\x02-iz\x11--image_directoryz+download images in a specific sub-directoryz\x02-nz\x0e--no_directoryz:download images in the main directory but no sub-directoryZ\nstore_true)\x03r8\x00\x00\x00r7\x00\x00\x00Z\x06actionz\x02-dz\x07--delayz7delay in seconds to wait between downloading two imagesz\x03-coz\x07--colorz\x0ffilter on color\xda\x03red\xda\x06orange\xda\x06yellow\xda\x05green\xda\x04teal\xda\x04blue\xda\x06purple\xda\x04pink\xda\x05white\xda\x04gray\xda\x05black\xda\x05brownz\x03-ctz\x0c--color_type\xfa\nfull-color\xfa\x0fblack-and-white\xda\x0btransparentz\x02-rz\x0e--usage_rightsz\x0cusage rights\xfa$labeled-for-reuse-with-modifications\xfa\x11labeled-for-reuse\xfa1labeled-for-noncommercial-reuse-with-modification\xfa\x1elabeled-for-nocommercial-reusez\x02-sz\x06--sizez\nimage size\xda\x05large\xda\x06medium\xda\x04icon\xfa\x08>400*300\xfa\x08>640*480\xfa\x08>800*600\xfa\t>1024*768\xfa\x04>2MP\xfa\x04>4MP\xfa\x04>6MP\xfa\x04>8MP\xfa\x05>10MP\xfa\x05>12MP\xfa\x05>15MP\xfa\x05>20MP\xfa\x05>40MP\xfa\x05>70MPz\x03-esz\x0c--exact_sizez%exact image resolution "WIDTH,HEIGHT"z\x02-tz\x06--typez\nimage type\xda\x04face\xda\x05photo\xda\x07clipart\xfa\x0cline-drawing\xda\x08animatedz\x02-wz\x06--timez\timage age\xfa\rpast-24-hours\xfa\x0bpast-7-days\xfa\npast-month\xfa\tpast-yearz\x03-wrz\x0c--time_rangezntime range for the age of the image. should be in the format {"time_min":"MM/DD/YYYY","time_max":"MM/DD/YYYY"}z\x02-az\x0e--aspect_ratioz2comma separated additional words added to keywords\xda\x04tall\xda\x06square\xda\x04wide\xda\tpanoramicz\x03-siz\x10--similar_imagesz:downloads images very similar to the image URL you providez\x03-ssz\x0f--specific_sitez9downloads images that are indexed from a specific websitez\x02-pz\x0c--print_urlsz\x1cPrint the URLs of the imagesz\x03-psz\x0c--print_sizez$Print the size of the images on diskz\x03-ppz\r--print_pathsz/Prints the list of absolute paths of the imagesz\x02-mz\n--metadataz\x1fPrint the metadata of the imagez\x02-ez\x12--extract_metadataz#Dumps all the logs into a text filez\x03-stz\x10--socket_timeoutz4Connection timeout waiting for the image to download)\x03r8\x00\x00\x00r7\x00\x00\x00r\x17\x00\x00\x00z\x03-thz\x0b--thumbnailz5Downloads image thumbnail along with the actual imagez\x04-thoz\x10--thumbnail_onlyz:Downloads only thumbnail without downloading actual imagesz\x03-laz\n--languagez\\Defines the language filter. The search results are authomatically returned in that language\xda\x06Arabic\xfa\x14Chinese (Simplified)\xfa\x15Chinese (Traditional)\xda\x05Czech\xda\x06Danish\xda\x05Dutch\xda\x07English\xda\x08Estonian\xda\x07Finnish\xda\x06French\xda\x06German\xda\x05Greek\xda\x06Hebrew\xda\tHungarian\xda\tIcelandic\xda\x07Italian\xda\x08Japanese\xda\x06Korean\xda\x07Latvian\xda\nLithuanian\xda\tNorwegian\xda\nPortuguese\xda\x06Polish\xda\x08Romanian\xda\x07Russian\xda\x07Spanish\xda\x07Swedish\xda\x07Turkish)\x05r8\x00\x00\x00r7\x00\x00\x00r\x17\x00\x00\x00r9\x00\x00\x00rC\x00\x00\x00z\x03-prz\x08--prefixz@A word that you would want to prefix in front of each image name)\x04r8\x00\x00\x00r7\x00\x00\x00r\x17\x00\x00\x00r9\x00\x00\x00z\x03-pxz\x07--proxyz specify a proxy address and portz\x03-cdz\x0e--chromedriverzAspecify the path to chromedriver executable in your local machinez\x03-riz\x10--related_imagesz9Downloads images that are similar to the keyword providedz\x03-saz\r--safe_searchz:Turns on the safe search filter while searching for imagesz\x03-nnz\x0e--no_numberingz5Allows you to exclude the default numbering of imagesz\x03-ofz\x08--offsetz#Where to start in the fetched linksz\x03-ndz\r--no_downloadzHPrints the URLs of the images and/or thumbnails without downloading themz\x03-iuz\r--ignore_urlsz5delimited list input of image urls/keywords to ignorez\x04-silz\r--silent_modezDRemains silent. 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Error: \xfa0IOError on an image...trying next one... Error: rG\x01\x00\x00z Completed Image Thumbnail ====> \xfa\x0cImage Size: \xfa;UnicodeEncodeError on an image...trying next one... Error: \xfa2HTTPError on an image...trying next one... Error: \xfa1URLError on an image...trying next one... Error: \xfa9CertificateError on an image...trying next one... Error: 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Skipping...r6\x00\x00\x00r\xf0\x00\x00\x00z,Invalid or missing image format. Skipping...r\x01\x00\x00\x00r\xdf\x00\x00\x00r\n\x01\x00\x00r<\x01\x00\x00rI\x01\x00\x00rJ\x01\x00\x00r:\x01\x00\x00rL\x01\x00\x00z\x16Completed Image ====> rN\x01\x00\x00rO\x01\x00\x00rQ\x01\x00\x00z6BadStatusLine on an image...trying next one... Error: rP\x01\x00\x00rR\x01\x00\x00rM\x01\x00\x00z<IncompleteReadError on an image...trying next one... Error: 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notranslater\xd8\x00\x00\x00r\x01\x00\x00\x00\xda\x08no_linksz\x1cclass="rg_meta notranslate">\xfa\x01{r\xc7\x00\x00\x00z\x06</div>r\x02\x00\x00\x00r\x0c\x01\x00\x00\xda\x0eunicode_escaper6\x00\x00\x00)\nr\xe0\x00\x00\x00r\x93\x00\x00\x00r\xb3\x00\x00\x00r\xb4\x00\x00\x00r1\x01\x00\x00r\x16\x01\x00\x00r\x95\x00\x00\x00r*\x01\x00\x00r\xbd\x00\x00\x00r\xd7\x00\x00\x00)\x0cr\xab\x00\x00\x00r\xe2\x00\x00\x00r\xe3\x00\x00\x00r\xe4\x00\x00\x00r\xe5\x00\x00\x00\xda\x0cstart_object\xda\nend_object\xda\nobject_rawr\xbe\x00\x00\x00r\xbf\x00\x00\x00\xda\robject_decodeZ\x0cfinal_objectr\xa7\x00\x00\x00r\xa7\x00\x00\x00r6\x00\x00\x00\xda\x0e_get_next_item~\x05\x00\x00s6\x00\x00\x00\x00\x01\n\x01\x08\x01\x04\x01\x04\x01\x08\x01\n\x01\x10\x01\x10\x01\x10\x02\x04\x01\x06\x01\x08\x01\x02\x01\x02\x01\x02\x00\x02\xff\x04\x01\x02\xff\x04\x02\x0e\x01\x0e\x01\x0c\x02\x02\x01\x14\x01\x0e\x01\n\x01z#googleimagesdownload._get_next_itemc\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x08\x00\x00\x00\x05\x00\x00\x00C\x00\x00\x00s\x80\x00\x00\x00|\x01\xa0\x00d\x01\xa1\x01d\x02\x18\x00}\x02|\x01\xa0\x00d\x03|\x02d\x04\x17\x00\xa1\x02}\x03|\x01\xa0\x00d\x05|\x03d\x04\x17\x00\xa1\x02d\x06\x18\x00}\x04t\x01|\x01|\x03|\x04\x85\x02\x19\x00\x83\x01}\x05t\x02|\x05d\x00d\x07\x85\x02\x19\x00d\x08\x83\x02\xa0\x03d\t\xa1\x01}\x06t\x04\xa0\x05|\x06d\x00d\n\x85\x02\x19\x00\xa1\x01d\x0b\x19\x00d\x0c\x19\x00d\r\x19\x00d\x0e\x19\x00}\x07|\x07S\x00)\x0fNz"AF_initDataCallback({key: \\\'ds:1\\\'r\xca\x00\x00\x00\xfa\x01[r\xc7\x00\x00\x00z\t</script>\xe9\x04\x00\x00\x00r\xd8\x00\x00\x00r\x0c\x01\x00\x00rf\x01\x00\x00i\xf1\xff\xff\xff\xe9\x1f\x00\x00\x00r\x01\x00\x00\x00\xe9\x0c\x00\x00\x00r\xee\x00\x00\x00)\x06r\xe0\x00\x00\x00r\x93\x00\x00\x00r1\x01\x00\x00r\x16\x01\x00\x00r\x95\x00\x00\x00r*\x01\x00\x00)\x08r\xab\x00\x00\x00r\xe2\x00\x00\x00r\xe3\x00\x00\x00rg\x01\x00\x00rh\x01\x00\x00ri\x01\x00\x00rj\x01\x00\x00\xda\rimage_objectsr\xa7\x00\x00\x00r\xa7\x00\x00\x00r6\x00\x00\x00\xda\x12_get_image_objects\x9a\x05\x00\x00s\x16\x00\x00\x00\x00\x01\x0e\x01\x10\x01\x14\x01\x10\x01\x0c\x01\x02\xff\x04\x01\x02\xff\x04\x02"\x01z\'googleimagesdownload._get_image_objectsc\x06\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x12\x00\x00\x00\x14\x00\x00\x00C\x00\x00\x00s\xee\x01\x00\x00g\x00}\x06g\x00}\x07d\x01}\x08d\x01}\td\x02}\n|\x00\xa0\x00|\x01\xa1\x01}\x0b|\n|\x04d\x02\x17\x00k\x00\x90\x01r\xb6t\x01|\x0b\x83\x01d\x01k\x02rHt\x02d\x03\x83\x01\x01\x00\x90\x01q\xb6\x90\x01nd|\x00\xa0\x03|\x0b|\t\x19\x00\xa1\x01}\x0c|\x05d\x04\x19\x00rv|\x05d\x05\x19\x00svt\x02d\x06t\x04|\x0c\x83\x01\x17\x00\x83\x01\x01\x00|\x00\xa0\x05|\x0cd\x07\x19\x00|\x0cd\x08\x19\x00|\x02|\x03|\n|\x05d\t\x19\x00|\x05d\n\x19\x00|\x05d\x0b\x19\x00|\x05d\x0c\x19\x00|\x05d\r\x19\x00|\x05d\x0e\x19\x00|\x05d\x0f\x19\x00|\x0cd\x10\x19\x00|\x05d\x05\x19\x00|\x05d\x11\x19\x00|\x05d\x12\x19\x00|\x05d\x13\x19\x00\xa1\x11\\\x04}\r}\x0e}\x0f}\x10|\x05d\x05\x19\x00s\xf0t\x02|\x0e\x83\x01\x01\x00|\rd\x14k\x02\x90\x01r\x88|\x05d\x15\x19\x00\x90\x01s\x0e|\x05d\x11\x19\x00\x90\x01rb|\x00\xa0\x06|\x0cd\x16\x19\x00|\x02|\x03|\x0f|\x05d\t\x19\x00|\x05d\n\x19\x00|\x05d\x0c\x19\x00|\x05d\x0e\x19\x00|\x05d\x0f\x19\x00|\x0cd\x10\x19\x00|\x05d\x13\x19\x00\xa1\x0b\\\x02}\r}\x11|\x05d\x05\x19\x00\x90\x01sbt\x02|\x11\x83\x01\x01\x00|\nd\x027\x00}\n|\x0f|\x0cd\x17<\x00|\x06\xa0\x07|\x0c\xa1\x01\x01\x00|\x07\xa0\x07|\x10\xa1\x01\x01\x00n\x08|\x08d\x027\x00}\x08|\x05d\x18\x19\x00\x90\x01r\xact\x08\xa0\tt\n|\x05d\x18\x19\x00\x83\x01\xa1\x01\x01\x00|\td\x027\x00}\tq\x1e|\n|\x04k\x00\x90\x01r\xe4t\x02d\x19t\x04|\x04\x83\x01\x17\x00d\x1a\x17\x00t\x04|\nd\x02\x18\x00\x83\x01\x17\x00d\x1b\x17\x00\x83\x01\x01\x00|\x06|\x08|\x07f\x03S\x00)\x1cNr\x01\x00\x00\x00r\xc7\x00\x00\x00rd\x01\x00\x00r&\x00\x00\x00r4\x00\x00\x00z\x11\nImage Metadata: r\xef\x00\x00\x00r\xf1\x00\x00\x00r#\x00\x00\x00r(\x00\x00\x00r,\x00\x00\x00r$\x00\x00\x00r0\x00\x00\x00r2\x00\x00\x00r3\x00\x00\x00r\xf2\x00\x00\x00r*\x00\x00\x00r\x10\x00\x00\x00r5\x00\x00\x00rG\x01\x00\x00r)\x00\x00\x00r\xf3\x00\x00\x00Z\x0eimage_filenamer\x1a\x00\x00\x00z\x14\n\nUnfortunately all zD could not be downloaded because some images were not downloadable. z& is all we got for this search 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time or time range should be used in a query. Both cannot be used at the same time.r\x14\x00\x00\x00r\x15\x00\x00\x00z^Either "size" or "exact_size" should be used in a query. 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| 14,825.8
| 74,055
| 0.760714
| 16,034
| 74,129
| 3.497193
| 0.114444
| 0.150765
| 0.084424
| 0.083247
| 0.529693
| 0.472946
| 0.407729
| 0.342815
| 0.316582
| 0.296216
| 0
| 0.340226
| 0.009065
| 74,129
| 4
| 74,056
| 18,532.25
| 0.423132
| 0.000715
| 0
| 0
| 0
| 7
| 0.818598
| 0.689509
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 0
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 1
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| 1
| 0
| 0
| 1
|
0
| 11
|
9b34ac902a19caa91196c13b541f2248931aec02
| 56
|
py
|
Python
|
ravenclaw/data/__init__.py
|
idin/ravenclaw
|
17a9b4c92d662f72c114e832f38b39eb73707bc2
|
[
"MIT"
] | 1
|
2019-05-04T07:32:21.000Z
|
2019-05-04T07:32:21.000Z
|
ravenclaw/data/__init__.py
|
idin/ravenclaw
|
17a9b4c92d662f72c114e832f38b39eb73707bc2
|
[
"MIT"
] | null | null | null |
ravenclaw/data/__init__.py
|
idin/ravenclaw
|
17a9b4c92d662f72c114e832f38b39eb73707bc2
|
[
"MIT"
] | 1
|
2020-03-28T21:54:11.000Z
|
2020-03-28T21:54:11.000Z
|
from .get_sparql_dataframe import get_sparql_dataframe
| 18.666667
| 54
| 0.892857
| 8
| 56
| 5.75
| 0.625
| 0.391304
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| 0.089286
| 56
| 2
| 55
| 28
| 0.901961
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 1
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0
| 7
|
9b4af03459988a4ba4e7b613dd7930eb04c0662e
| 2,724
|
py
|
Python
|
ansible/roles/lib_utils/library/oo_vpc_subnets_calc_unittests.py
|
fahlmant/openshift-tools
|
dbb4f16ccde3404c36c23108c45ca7b67138ee12
|
[
"Apache-2.0"
] | 164
|
2015-07-29T17:35:04.000Z
|
2021-12-16T16:38:04.000Z
|
ansible/roles/lib_utils/library/oo_vpc_subnets_calc_unittests.py
|
fahlmant/openshift-tools
|
dbb4f16ccde3404c36c23108c45ca7b67138ee12
|
[
"Apache-2.0"
] | 3,634
|
2015-06-09T13:49:15.000Z
|
2022-03-23T20:55:44.000Z
|
ansible/roles/lib_utils/library/oo_vpc_subnets_calc_unittests.py
|
fahlmant/openshift-tools
|
dbb4f16ccde3404c36c23108c45ca7b67138ee12
|
[
"Apache-2.0"
] | 250
|
2015-06-08T19:53:11.000Z
|
2022-03-01T04:51:23.000Z
|
#!/usr/bin/python
# vim: expandtab:tabstop=2:shiftwidth=2
import unittest
import json
from oo_vpc_subnets_calc import *
class TestSubnetCalc(unittest.TestCase):
def test_large_cidr_3az_3subnet(self):
cidr_block = "172.16.0.0/16"
num_of_subnets = 3
num_avail_zones_in_region = 3
multi_az = True
expected_result = json.loads("""
{"us-east-1": [{"cidr": "172.16.0.0/21", "az": "us-east-1a"}, {"cidr": "172.16.8.0/21", "az": "us-east-1b"}, {"cidr": "172.16.16.0/21", "az": "us-east-1c"}]}
""")
results = calc_subnets(None, cidr_block, num_of_subnets, num_avail_zones_in_region, "us-east-1", [
'us-east-1a', 'us-east-1b', 'us-east-1c', 'us-east-1d', 'us-east-1e', 'us-east-1f'], multi_az)
self.assertItemsEqual(
expected_result, results, "Enough AZs for 3 subnet and large enough CIDR block")
def test_small_cidr_3az_3subnet(self):
cidr_block = "172.16.0.0/24"
num_of_subnets = 3
num_avail_zones_in_region = 3
multi_az = True
expected_result = json.loads("""
{"us-east-1": [{"cidr": "172.16.0.0/26", "az": "us-east-1a"}, {"cidr": "172.16.0.64/26", "az": "us-east-1b"}, {"cidr": "172.16.0.128/26", "az": "us-east-1c"}]}
""")
results = calc_subnets(None, cidr_block, num_of_subnets, num_avail_zones_in_region, "us-east-1", [
'us-east-1a', 'us-east-1b', 'us-east-1c', 'us-east-1d', 'us-east-1e', 'us-east-1f'], multi_az)
self.assertItemsEqual(
expected_result, results, "Enough AZs for 3 subnet and large enough CIDR block")
def test_large_cidr_2az_3subnet(self):
cidr_block = "172.16.0.0/16"
num_of_subnets = 3
num_avail_zones_in_region = 2
multi_az = True
expected_result = {}
results = calc_subnets(None, cidr_block, num_of_subnets,
num_avail_zones_in_region, "us-east-1", ['us-east-1a', 'us-east-1b'], multi_az)
self.assertItemsEqual(
expected_result, results, "Not enough AZs for 3 subnet but large enough CIDR block")
def test_small_cidr_2az_3subnet(self):
cidr_block = "172.16.0.0/24"
num_of_subnets = 3
num_avail_zones_in_region = 2
multi_az = True
expected_result = {}
results = calc_subnets(None, cidr_block, num_of_subnets,
num_avail_zones_in_region, "us-east-1", ['us-east-1a', 'us-east-1b'], multi_az)
self.assertItemsEqual(
expected_result, results, "Not enough AZs for 3 subnet but large enough CIDR block")
if __name__ == '__main__':
unittest.main()
| 43.238095
| 171
| 0.600954
| 400
| 2,724
| 3.835
| 0.1825
| 0.109518
| 0.031291
| 0.078227
| 0.880704
| 0.875489
| 0.875489
| 0.825945
| 0.814863
| 0.814863
| 0
| 0.070623
| 0.251468
| 2,724
| 62
| 172
| 43.935484
| 0.681707
| 0.019824
| 0
| 0.76
| 0
| 0.04
| 0.310345
| 0
| 0
| 0
| 0
| 0
| 0.08
| 1
| 0.08
| false
| 0
| 0.06
| 0
| 0.16
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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|
0
| 7
|
9b8a58ba521390f0264ebe5f796c559a94082bdc
| 49,897
|
py
|
Python
|
great_international/migrations/0033_auto_20190611_1057.py
|
uktrade/directory-cms
|
8c8d13ce29ea74ddce7a40f3dd29c8847145d549
|
[
"MIT"
] | 6
|
2018-03-20T11:19:07.000Z
|
2021-10-05T07:53:11.000Z
|
great_international/migrations/0033_auto_20190611_1057.py
|
uktrade/directory-cms
|
8c8d13ce29ea74ddce7a40f3dd29c8847145d549
|
[
"MIT"
] | 802
|
2018-02-05T14:16:13.000Z
|
2022-02-10T10:59:21.000Z
|
great_international/migrations/0033_auto_20190611_1057.py
|
uktrade/directory-cms
|
8c8d13ce29ea74ddce7a40f3dd29c8847145d549
|
[
"MIT"
] | 6
|
2019-01-22T13:19:37.000Z
|
2019-07-01T10:35:26.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-06-11 10:57
from __future__ import unicode_literals
import core.model_fields
import core.validators
from django.db import migrations, models
import django.db.models.deletion
import modelcluster.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailforms', '0003_capitalizeverbose'),
('wagtailcore', '0040_page_draft_title'),
('great_international', '0032_investinternationalhomepage_how_we_help_icon_six'),
]
operations = [
migrations.CreateModel(
name='CapitalInvestRelatedSectors',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('sort_order', models.IntegerField(blank=True, editable=False, null=True)),
],
options={
'ordering': ['sort_order'],
'abstract': False,
},
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_ar',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_de',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_en_gb',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_es',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_fr',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_ja',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_pt',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='hero_image_zh_hans',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='page_ptr',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_ar',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_de',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_en_gb',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_es',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_fr',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_ja',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_pt',
),
migrations.RemoveField(
model_name='capitalinvestregionalsectorpage',
name='sector_summary_image_zh_hans',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='opportunity',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_ar',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_de',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_en_gb',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_es',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_fr',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_ja',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_pt',
),
migrations.RemoveField(
model_name='sectorrelatedopportunities',
name='page_zh_hans',
),
migrations.AddField(
model_name='capitalinvestopportunitypage',
name='prioritised_opportunity',
field=models.BooleanField(default=False, help_text='Mark this if this opportunity is a priority and should be promoted on the related sector page', verbose_name='Prioritise project?'),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title',
field=models.CharField(blank=True, max_length=255),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_ar',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_de',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_en_gb',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_es',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_fr',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_ja',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_pt',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='internationalsectorpage',
name='project_opportunities_title_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_ar',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_de',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_en_gb',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_es',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_fr',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_ja',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_pt',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='hero_image_zh_hans',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro',
field=models.TextField(),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_ar',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_de',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_en_gb',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_es',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_fr',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_ja',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_pt',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_intro_zh_hans',
field=models.TextField(null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title',
field=models.CharField(max_length=255),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_ar',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_de',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_en_gb',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_es',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_fr',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_ja',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_pt',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestopportunitypage',
name='project_background_title_zh_hans',
field=models.CharField(max_length=255, null=True),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_ar',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_de',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_en_gb',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_es',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_fr',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_ja',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_pt',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='capitalinvestregionpage',
name='hero_image_zh_hans',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_ar',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_de',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_en_gb',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_es',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_fr',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_ja',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_pt',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_body_zh_hans',
field=core.model_fields.MarkdownField(blank=True, null=True, validators=[core.validators.slug_hyperlinks], verbose_name='3 unique selling points markdown'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_ar',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_de',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_en_gb',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_es',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_fr',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_ja',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_pt',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_one_image_zh_hans',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image', verbose_name='Image for unique selling points'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading',
field=models.CharField(blank=True, max_length=255, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_ar',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_de',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_en_gb',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_es',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_fr',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_ja',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_pt',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_heading_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body',
field=models.TextField(blank=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_ar',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_de',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_en_gb',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_es',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_fr',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_ja',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_pt',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_body_zh_hans',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 1 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading',
field=models.CharField(blank=True, max_length=255, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_ar',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_de',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_en_gb',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_es',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_fr',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_ja',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_pt',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_one_heading_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 1 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body',
field=models.TextField(blank=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_ar',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_de',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_en_gb',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_es',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_fr',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_ja',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_pt',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_body_zh_hans',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 3 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading',
field=models.CharField(blank=True, max_length=255, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_ar',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_de',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_en_gb',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_es',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_fr',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_ja',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_pt',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_three_heading_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 3 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body',
field=models.TextField(blank=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_ar',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_de',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_en_gb',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_es',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_fr',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_ja',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_pt',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_body_zh_hans',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight 2 body'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading',
field=models.CharField(blank=True, max_length=255, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_ar',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_de',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_en_gb',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_es',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_fr',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_ja',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_pt',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_subsection_two_heading_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Spotlight 2 heading'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser',
field=models.TextField(blank=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_ar',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_de',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_en_gb',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_es',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_fr',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_ja',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_pt',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='section_two_teaser_zh_hans',
field=models.TextField(blank=True, null=True, verbose_name='Spotlight summary'),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading',
field=models.CharField(blank=True, max_length=255),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_ar',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_de',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_en_gb',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_es',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_fr',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_ja',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_pt',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_heading_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number',
field=models.CharField(blank=True, max_length=255),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_ar',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_de',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_en_gb',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_es',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_fr',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_ja',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_pt',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_1_number_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading',
field=models.CharField(blank=True, max_length=255),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_ar',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_de',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_en_gb',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_es',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_fr',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_ja',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_pt',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_heading_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number',
field=models.CharField(blank=True, max_length=255),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_ar',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_de',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_en_gb',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_es',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_fr',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_ja',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_pt',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='internationalsectorpage',
name='statistic_2_number_zh_hans',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.DeleteModel(
name='CapitalInvestRegionalSectorPage',
),
migrations.DeleteModel(
name='SectorRelatedOpportunities',
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_ar',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_de',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_en_gb',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_es',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_fr',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_ja',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_pt',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='page_zh_hans',
field=modelcluster.fields.ParentalKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='related_sectors', to='great_international.CapitalInvestOpportunityPage'),
),
migrations.AddField(
model_name='capitalinvestrelatedsectors',
name='related_sector',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='great_international.InternationalSectorPage'),
),
]
| 46.851643
| 205
| 0.642784
| 4,770
| 49,897
| 6.462683
| 0.031866
| 0.061602
| 0.131378
| 0.152399
| 0.964933
| 0.963117
| 0.959581
| 0.93616
| 0.914491
| 0.87073
| 0
| 0.010698
| 0.25256
| 49,897
| 1,064
| 206
| 46.895677
| 0.815873
| 0.001383
| 0
| 0.807001
| 1
| 0
| 0.272193
| 0.200963
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.005676
| 0
| 0.008515
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
32e5ba9f7f3c5c0b4d71d470e8d1430129294955
| 4,995
|
py
|
Python
|
benchmarks/bench_attr.py
|
usalko/nogil
|
7a480f849f1f12a159a10bb0aa0f3431f24ce5f6
|
[
"0BSD"
] | 1
|
2021-11-19T02:20:24.000Z
|
2021-11-19T02:20:24.000Z
|
benchmarks/bench_attr.py
|
usalko/nogil
|
7a480f849f1f12a159a10bb0aa0f3431f24ce5f6
|
[
"0BSD"
] | null | null | null |
benchmarks/bench_attr.py
|
usalko/nogil
|
7a480f849f1f12a159a10bb0aa0f3431f24ce5f6
|
[
"0BSD"
] | null | null | null |
import time
import math as _math
from dataclasses import dataclass
UNROLL = 100
N = 100000
@dataclass
class Foo:
name: str
value: int
@property
def prop(self):
return 3
global_f = Foo("name", 3)
def load_attr():
f = global_f
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
f.value
def load_prop():
f = global_f
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
f.prop
def update_attr():
f = global_f
f.value = 0
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
f.value += 1
def run():
for _ in range(3):
start = time.perf_counter()
for _ in range(N):
load_attr()
end = time.perf_counter()
print('load_attr', (end - start) * 1e9/(UNROLL * N), 'ns')
start = time.perf_counter()
for _ in range(N):
load_prop()
end = time.perf_counter()
print('load_prop', (end - start) * 1e9/(UNROLL * N), 'ns')
start = time.perf_counter()
for _ in range(N):
update_attr()
end = time.perf_counter()
print('update_attr', (end - start) * 1e9/(UNROLL * N), 'ns')
run()
# import dis
# dis.dis(load_attr)
| 14.070423
| 68
| 0.471071
| 835
| 4,995
| 2.788024
| 0.050299
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0
| 10
|
fd0696bdf163aac4562158a3a3164457f2a653fd
| 5,820
|
py
|
Python
|
Grafoparainterface.py
|
VictorCastao/LMD_Trabalho_Final
|
864bad8775e96a249308edd6301c6df2449fb127
|
[
"MIT"
] | null | null | null |
Grafoparainterface.py
|
VictorCastao/LMD_Trabalho_Final
|
864bad8775e96a249308edd6301c6df2449fb127
|
[
"MIT"
] | null | null | null |
Grafoparainterface.py
|
VictorCastao/LMD_Trabalho_Final
|
864bad8775e96a249308edd6301c6df2449fb127
|
[
"MIT"
] | null | null | null |
def Busca_em_Profundidade (vertice):
Visitados = {
"Acre" : 0,
"Alagoas" : 0,
"Amapá" : 0,
"Amazonas" : 0,
"Bahia" : 0,
"Ceará" : 0,
"Espírito Santo" : 0,
"Goiás" : 0,
"Maranhão" : 0,
"Mato Grosso" : 0,
"Mato Grosso do Sul" : 0,
"Minas Gerais" : 0,
"Pará" : 0,
"Paraíba" : 0,
"Paraná" : 0,
"Pernambuco" : 0,
"Piauí" : 0,
"Rio de Janeiro" : 0,
"Rio Grande do Norte" : 0,
"Rio Grande do Sul" : 0,
"Rondônia" : 0,
"Roraima" : 0,
"Santa Catarina" : 0,
"São Paulo" : 0,
"Sergipe" : 0,
"Tocantins" : 0,
}
Lista_Adjacência = {
"Acre" : ["Amazonas","Rondônia"],
"Alagoas" : ["Bahia","Pernambuco","Sergipe"],
"Amapá" : ["Pará"],
"Amazonas" : ["Acre","Pará","Mato Grosso","Rondônia","Roraima"],
"Bahia" : ["Alagoas","Espírito Santo","Goiás","Minas Gerais","Pernambuco","Piauí","Sergipe","Tocantins"],
"Ceará" : ["Paraíba","Pernambuco","Piauí","Rio Grande do Norte"],
"Espírito Santo" : ["Bahia","Minas Gerais","Rio de Janeiro"],
"Goiás" : ["Bahia","Mato Grosso","Mato Grosso do Sul","Minas Gerais","Tocantins"],
"Maranhão" : ["Pará","Piauí","Tocantins"],
"Mato Grosso" : ["Amazonas","Goiás","Pará","Mato Grosso do Sul","Rondônia","Tocantins"],
"Mato Grosso do Sul" : ["Goiás","Mato Grosso","Minas Gerais","Paraná","São Paulo"],
"Minas Gerais" : ["Bahia","Espírito Santo","Goiás","Mato Grosso do Sul","Rio de Janeiro","São Paulo"],
"Pará" : ["Amapá","Amazonas","Maranhão","Mato Grosso","Roraima","Tocantins"],
"Paraíba" : ["Ceará","Pernambuco","Rio Grande do Norte"],
"Paraná" : ["Mato Grosso do Sul","Santa Catarina","São Paulo"],
"Pernambuco" : ["Alagoas","Bahia","Ceará","Paraíba","Piauí"],
"Piauí" : ["Bahia","Ceará","Maranhão","Pernambuco","Tocantins"],
"Rio de Janeiro" : ["Espírito Santo","Minas Gerais","São Paulo"],
"Rio Grande do Norte" : ["Ceará","Paraíba"],
"Rio Grande do Sul" : ["Santa Catarina"],
"Rondônia" : ["Acre","Amazonas","Mato Grosso"],
"Roraima" : ["Amazonas","Pará"],
"Santa Catarina" : ["Paraná","Rio Grande do Sul"],
"São Paulo" : ["Mato Grosso do Sul","Minas Gerais","Paraná","Rio de Janeiro"],
"Sergipe" : ["Alagoas","Bahia"],
"Tocantins" : ["Bahia","Goiás","Maranhão","Mato Grosso","Pará","Piauí"],
}
Resultado_Busca1 = []
def auxiliar(v):
Visitados[v] = 1
Resultado_Busca1.append(v)
for i in Lista_Adjacência[v]:
if Visitados[i] == 0:
auxiliar(i)
auxiliar(vertice)
return Resultado_Busca1
def Busca_em_Largura (vertice):
Visitados = {
"Acre" : 0,
"Alagoas" : 0,
"Amapá" : 0,
"Amazonas" : 0,
"Bahia" : 0,
"Ceará" : 0,
"Espírito Santo" : 0,
"Goiás" : 0,
"Maranhão" : 0,
"Mato Grosso" : 0,
"Mato Grosso do Sul" : 0,
"Minas Gerais" : 0,
"Pará" : 0,
"Paraíba" : 0,
"Paraná" : 0,
"Pernambuco" : 0,
"Piauí" : 0,
"Rio de Janeiro" : 0,
"Rio Grande do Norte" : 0,
"Rio Grande do Sul" : 0,
"Rondônia" : 0,
"Roraima" : 0,
"Santa Catarina" : 0,
"São Paulo" : 0,
"Sergipe" : 0,
"Tocantins" : 0,
}
Lista_Adjacência = {
"Acre" : ["Amazonas","Rondônia"],
"Alagoas" : ["Bahia","Pernambuco","Sergipe"],
"Amapá" : ["Pará"],
"Amazonas" : ["Acre","Pará","Mato Grosso","Rondônia","Roraima"],
"Bahia" : ["Alagoas","Espírito Santo","Goiás","Minas Gerais","Pernambuco","Piauí","Sergipe","Tocantins"],
"Ceará" : ["Paraíba","Pernambuco","Piauí","Rio Grande do Norte"],
"Espírito Santo" : ["Bahia","Minas Gerais","Rio de Janeiro"],
"Goiás" : ["Bahia","Mato Grosso","Mato Grosso do Sul","Minas Gerais","Tocantins"],
"Maranhão" : ["Pará","Piauí","Tocantins"],
"Mato Grosso" : ["Amazonas","Goiás","Pará","Mato Grosso do Sul","Rondônia","Tocantins"],
"Mato Grosso do Sul" : ["Goiás","Mato Grosso","Minas Gerais","Paraná","São Paulo"],
"Minas Gerais" : ["Bahia","Espírito Santo","Goiás","Mato Grosso do Sul","Rio de Janeiro","São Paulo"],
"Pará" : ["Amapá","Amazonas","Maranhão","Mato Grosso","Roraima","Tocantins"],
"Paraíba" : ["Ceará","Pernambuco","Rio Grande do Norte"],
"Paraná" : ["Mato Grosso do Sul","Santa Catarina","São Paulo"],
"Pernambuco" : ["Alagoas","Bahia","Ceará","Paraíba","Piauí"],
"Piauí" : ["Bahia","Ceará","Maranhão","Pernambuco","Tocantins"],
"Rio de Janeiro" : ["Espírito Santo","Minas Gerais","São Paulo"],
"Rio Grande do Norte" : ["Ceará","Paraíba"],
"Rio Grande do Sul" : ["Santa Catarina"],
"Rondônia" : ["Acre","Amazonas","Mato Grosso"],
"Roraima" : ["Amazonas","Pará"],
"Santa Catarina" : ["Paraná","Rio Grande do Sul"],
"São Paulo" : ["Mato Grosso do Sul","Minas Gerais","Paraná","Rio de Janeiro"],
"Sergipe" : ["Alagoas","Bahia"],
"Tocantins" : ["Bahia","Goiás","Maranhão","Mato Grosso","Pará","Piauí"],
}
Resultado_Busca = []
Fila = []
Visitados[vertice] = 1
Resultado_Busca.append(vertice)
Fila.append(vertice)
while (len(Fila)) > 0:
for i in Lista_Adjacência[Fila[0]]:
if Visitados[i] == 0:
Visitados[i] = 1
Resultado_Busca.append(i)
Fila.append(i)
Fila.pop(0)
return Resultado_Busca
| 38.8
| 113
| 0.517526
| 607
| 5,820
| 4.937397
| 0.097199
| 0.1001
| 0.056056
| 0.07007
| 0.892893
| 0.878879
| 0.878879
| 0.878879
| 0.878879
| 0.878879
| 0
| 0.01517
| 0.286426
| 5,820
| 149
| 114
| 39.060403
| 0.706477
| 0
| 0
| 0.808824
| 0
| 0
| 0.458419
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.022059
| false
| 0
| 0
| 0
| 0.036765
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fd29ccbc8c28093d789ac78cf0e132c1f573d096
| 12,425
|
py
|
Python
|
beanie/api/delivery_note_api.py
|
altoyield/python-beanieclient
|
448b8dd328054eaf32dd7d0bdff700e603b5c27d
|
[
"Apache-2.0"
] | null | null | null |
beanie/api/delivery_note_api.py
|
altoyield/python-beanieclient
|
448b8dd328054eaf32dd7d0bdff700e603b5c27d
|
[
"Apache-2.0"
] | null | null | null |
beanie/api/delivery_note_api.py
|
altoyield/python-beanieclient
|
448b8dd328054eaf32dd7d0bdff700e603b5c27d
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
Beanie ERP API
An API specification for interacting with the Beanie ERP system # noqa: E501
OpenAPI spec version: 0.8
Contact: dev@bean.ie
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from beanie.api_client import ApiClient
class DeliveryNoteApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def add_delivery_note(self, delivery_notes, **kwargs): # noqa: E501
"""add_delivery_note # noqa: E501
Creates a new delivery note in the system # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.add_delivery_note(delivery_notes, async=True)
>>> result = thread.get()
:param async bool
:param DeliveryNoteInput delivery_notes: Delivery note to add to the system (required)
:return: DeliveryNote
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.add_delivery_note_with_http_info(delivery_notes, **kwargs) # noqa: E501
else:
(data) = self.add_delivery_note_with_http_info(delivery_notes, **kwargs) # noqa: E501
return data
def add_delivery_note_with_http_info(self, delivery_notes, **kwargs): # noqa: E501
"""add_delivery_note # noqa: E501
Creates a new delivery note in the system # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.add_delivery_note_with_http_info(delivery_notes, async=True)
>>> result = thread.get()
:param async bool
:param DeliveryNoteInput delivery_notes: Delivery note to add to the system (required)
:return: DeliveryNote
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['delivery_notes'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method add_delivery_note" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'delivery_notes' is set
if ('delivery_notes' not in params or
params['delivery_notes'] is None):
raise ValueError("Missing the required parameter `delivery_notes` when calling `add_delivery_note`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'delivery_notes' in params:
body_params = params['delivery_notes']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/delivery_notes', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeliveryNote', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def find_delivery_note_by_id(self, id, **kwargs): # noqa: E501
"""Find Delivery note by ID # noqa: E501
Returns a single delivery note if the user has access # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.find_delivery_note_by_id(id, async=True)
>>> result = thread.get()
:param async bool
:param int id: ID of delivery note to fetch (required)
:return: DeliveryNote
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.find_delivery_note_by_id_with_http_info(id, **kwargs) # noqa: E501
else:
(data) = self.find_delivery_note_by_id_with_http_info(id, **kwargs) # noqa: E501
return data
def find_delivery_note_by_id_with_http_info(self, id, **kwargs): # noqa: E501
"""Find Delivery note by ID # noqa: E501
Returns a single delivery note if the user has access # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.find_delivery_note_by_id_with_http_info(id, async=True)
>>> result = thread.get()
:param async bool
:param int id: ID of delivery note to fetch (required)
:return: DeliveryNote
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['id'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method find_delivery_note_by_id" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'id' is set
if ('id' not in params or
params['id'] is None):
raise ValueError("Missing the required parameter `id` when calling `find_delivery_note_by_id`") # noqa: E501
collection_formats = {}
path_params = {}
if 'id' in params:
path_params['id'] = params['id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/delivery_notes/{id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeliveryNote', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def find_delivery_notes(self, **kwargs): # noqa: E501
"""All delivery note # noqa: E501
Returns all delivery note from the system that the user has access to # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.find_delivery_notes(async=True)
>>> result = thread.get()
:param async bool
:param list[str] tags: tags to filter by
:param int limit: Maximum number of results to return
:return: list[DeliveryNote]
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async'):
return self.find_delivery_notes_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.find_delivery_notes_with_http_info(**kwargs) # noqa: E501
return data
def find_delivery_notes_with_http_info(self, **kwargs): # noqa: E501
"""All delivery note # noqa: E501
Returns all delivery note from the system that the user has access to # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.find_delivery_notes_with_http_info(async=True)
>>> result = thread.get()
:param async bool
:param list[str] tags: tags to filter by
:param int limit: Maximum number of results to return
:return: list[DeliveryNote]
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['tags', 'limit'] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method find_delivery_notes" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'tags' in params:
query_params.append(('tags', params['tags'])) # noqa: E501
collection_formats['tags'] = 'csv' # noqa: E501
if 'limit' in params:
query_params.append(('limit', params['limit'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/delivery_notes', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='list[DeliveryNote]', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 37.312312
| 126
| 0.609014
| 1,454
| 12,425
| 4.967675
| 0.116919
| 0.054271
| 0.023259
| 0.029904
| 0.891319
| 0.872352
| 0.84674
| 0.828188
| 0.801329
| 0.799668
| 0
| 0.017867
| 0.301811
| 12,425
| 332
| 127
| 37.424699
| 0.814755
| 0.062213
| 0
| 0.71345
| 1
| 0
| 0.164863
| 0.033133
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.023392
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
fd559b4f6414f153c8681a2652df7203ac53eed5
| 22,621
|
py
|
Python
|
tools/tests/python/test_awa_client_explore.py
|
francois-berder/AwaLWM2M
|
40f30cd4c18ace0b82f64983ac1e28537fbcaae6
|
[
"BSD-3-Clause"
] | 58
|
2017-06-09T14:29:03.000Z
|
2022-01-26T21:20:16.000Z
|
tools/tests/python/test_awa_client_explore.py
|
francois-berder/AwaLWM2M
|
40f30cd4c18ace0b82f64983ac1e28537fbcaae6
|
[
"BSD-3-Clause"
] | 195
|
2016-03-03T05:00:43.000Z
|
2017-05-28T08:26:40.000Z
|
tools/tests/python/test_awa_client_explore.py
|
francois-berder/AwaLWM2M
|
40f30cd4c18ace0b82f64983ac1e28537fbcaae6
|
[
"BSD-3-Clause"
] | 60
|
2016-03-03T04:08:16.000Z
|
2017-05-10T01:03:43.000Z
|
#/************************************************************************************************************************
# Copyright (c) 2016, Imagination Technologies Limited and/or its affiliated group companies.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the
# following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the
# following disclaimer in the documentation and/or other materials provided with the distribution.
# 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote
# products derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
# USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#************************************************************************************************************************/
# Tests related to getting defined objects or resources using basic client explore operations
import unittest
import re
import common
import tools_common
def client_explore(config, *args):
return tools_common.run_client(config, tools_common.CLIENT_EXPLORE, *args)
class TestExplore(tools_common.AwaTest):
@unittest.skip("maintenance headache")
def test_explore(self):
expectedStdout = """Object ID:0 name:LWM2MSecurity minInstances:1 maxInstances:65535
Resource: ID:0 name:LWM2MServerURI type:2 minInstances:1 maxInstances:1 operations:1
Resource: ID:1 name:BootstrapServer type:5 minInstances:1 maxInstances:1 operations:1
Resource: ID:2 name:SecurityMode type:3 minInstances:1 maxInstances:1 operations:1
Resource: ID:3 name:PublicKeyorIDentity type:6 minInstances:1 maxInstances:1 operations:1
Resource: ID:4 name:ServerPublicKeyorIDentity type:6 minInstances:1 maxInstances:1 operations:1
Resource: ID:5 name:SecretKey type:6 minInstances:1 maxInstances:1 operations:1
Resource: ID:6 name:SMSSecurityMode type:3 minInstances:1 maxInstances:1 operations:1
Resource: ID:7 name:SMSBindingKeyParameters type:6 minInstances:1 maxInstances:1 operations:1
Resource: ID:8 name:SMSBindingSecretKeys type:6 minInstances:1 maxInstances:1 operations:1
Resource: ID:9 name:LWM2MServerSMSNumber type:3 minInstances:1 maxInstances:1 operations:1
Resource: ID:10 name:ShortServerID type:3 minInstances:0 maxInstances:1 operations:1
Resource: ID:11 name:ClientHoldOffTime type:3 minInstances:1 maxInstances:1 operations:1
Object ID:1 name:LWM2MServer minInstances:1 maxInstances:65535
Resource: ID:0 name:ShortServerID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:Lifetime type:3 minInstances:1 maxInstances:1 operations:4
Resource: ID:2 name:DefaultMinimumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:3 name:DefaultMaximumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:4 name:Disable type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:5 name:DisableTimeout type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:6 name:NotificationStoringWhenDisabledorOffline type:5 minInstances:1 maxInstances:1 operations:4
Resource: ID:7 name:Binding type:2 minInstances:1 maxInstances:1 operations:4
Resource: ID:8 name:RegistrationUpdateTrigger type:1 minInstances:1 maxInstances:1 operations:5
Object ID:2 name:LWM2MAccessControl minInstances:0 maxInstances:65535
Resource: ID:0 name:ObjectID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:ObjectInstanceID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:2 name:ACL type:10 minInstances:0 maxInstances:65535 operations:4
Resource: ID:3 name:AccessControlOwner type:3 minInstances:1 maxInstances:1 operations:4
Object ID:3 name:Device minInstances:1 maxInstances:1
Resource: ID:0 name:Manufacturer type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:1 name:ModelNumber type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:2 name:SerialNumber type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:3 name:FirmwareVersion type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:4 name:Reboot type:1 minInstances:1 maxInstances:1 operations:5
Resource: ID:5 name:FactoryReset type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:6 name:AvailablePowerSources type:10 minInstances:0 maxInstances:65535 operations:2
Resource: ID:7 name:PowerSourceVoltage type:10 minInstances:0 maxInstances:65535 operations:2
Resource: ID:8 name:PowerSourceCurrent type:10 minInstances:0 maxInstances:65535 operations:2
Resource: ID:9 name:BatteryLevel type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:10 name:MemoryFree type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:11 name:ErrorCode type:10 minInstances:1 maxInstances:65535 operations:2
Resource: ID:12 name:ResetErrorCode type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:13 name:CurrentTime type:7 minInstances:0 maxInstances:1 operations:4
Resource: ID:14 name:UTCOffset type:2 minInstances:0 maxInstances:1 operations:4
Resource: ID:15 name:Timezone type:2 minInstances:0 maxInstances:1 operations:4
Resource: ID:16 name:SupportedBindingandModes type:2 minInstances:1 maxInstances:1 operations:2
Resource: ID:17 name:DeviceType type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:18 name:HardwareVersion type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:19 name:SoftwareVersion type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:20 name:BatteryStatus type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:21 name:MemoryTotal type:3 minInstances:0 maxInstances:1 operations:2
Object ID:4 name:ConnectivityMonitoring minInstances:0 maxInstances:1
Resource: ID:0 name:NetworkBearer type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:AvailableNetworkBearer type:10 minInstances:1 maxInstances:65535 operations:2
Resource: ID:2 name:RadioSignalStrength type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:3 name:LinkQuality type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:4 name:ADDRESSes type:9 minInstances:1 maxInstances:65535 operations:2
Resource: ID:5 name:RouterADDRESSe type:9 minInstances:0 maxInstances:65535 operations:2
Resource: ID:6 name:LinkUtilization type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:7 name:APN type:9 minInstances:0 maxInstances:65535 operations:2
Resource: ID:8 name:CellID type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:9 name:SMNC type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:10 name:SMCC type:3 minInstances:0 maxInstances:1 operations:2
Object ID:7 name:ConnectivityStatistics minInstances:0 maxInstances:1
Resource: ID:0 name:SMSTxCounter type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:1 name:SMSRxCounter type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:2 name:TxData type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:3 name:RxData type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:4 name:MaxMessageSize type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:5 name:AverageMessageSize type:3 minInstances:0 maxInstances:1 operations:2
Resource: ID:6 name:StartOrReset type:1 minInstances:1 maxInstances:1 operations:5
Object ID:5 name:FirmwareUpdate minInstances:0 maxInstances:1
Resource: ID:0 name:Package type:6 minInstances:1 maxInstances:1 operations:3
Resource: ID:1 name:PackageURI type:2 minInstances:1 maxInstances:1 operations:3
Resource: ID:2 name:Update type:1 minInstances:1 maxInstances:1 operations:5
Resource: ID:3 name:State type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:4 name:UpdateSupportedObjects type:5 minInstances:0 maxInstances:1 operations:4
Resource: ID:5 name:UpdateResult type:3 minInstances:1 maxInstances:1 operations:2
Object ID:6 name:Location minInstances:0 maxInstances:1
Resource: ID:0 name:Latitude type:2 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:Longitude type:2 minInstances:1 maxInstances:1 operations:2
Resource: ID:2 name:Altitude type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:3 name:Uncertainty type:2 minInstances:0 maxInstances:1 operations:2
Resource: ID:4 name:Velocity type:6 minInstances:0 maxInstances:1 operations:2
Resource: ID:5 name:Timestamp type:7 minInstances:1 maxInstances:1 operations:2
Object ID:1000 name:Object1000 minInstances:1 maxInstances:1
Resource: ID:100 name:Resource100 type:2 minInstances:0 maxInstances:1 operations:4
Resource: ID:101 name:Resource101 type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:102 name:Resource102 type:4 minInstances:0 maxInstances:1 operations:4
Resource: ID:103 name:Resource103 type:5 minInstances:0 maxInstances:1 operations:4
Resource: ID:104 name:Resource104 type:7 minInstances:0 maxInstances:1 operations:4
Resource: ID:105 name:Resource105 type:6 minInstances:0 maxInstances:1 operations:4
Resource: ID:106 name:Resource106 type:8 minInstances:0 maxInstances:1 operations:4
Resource: ID:107 name:Resource107 type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:200 name:Resource200 type:9 minInstances:0 maxInstances:65535 operations:4
Resource: ID:201 name:Resource201 type:10 minInstances:0 maxInstances:65535 operations:4
Resource: ID:202 name:Resource202 type:11 minInstances:0 maxInstances:65535 operations:4
Resource: ID:203 name:Resource203 type:12 minInstances:0 maxInstances:65535 operations:4
Resource: ID:204 name:Resource204 type:14 minInstances:0 maxInstances:65535 operations:4
Resource: ID:205 name:Resource205 type:13 minInstances:0 maxInstances:65535 operations:4
Resource: ID:206 name:Resource206 type:15 minInstances:0 maxInstances:65535 operations:4
Object ID:2000 name:Object2000 minInstances:1 maxInstances:65535
Resource: ID:100 name:Resource100 type:2 minInstances:0 maxInstances:1 operations:4
Resource: ID:101 name:Resource101 type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:102 name:Resource102 type:4 minInstances:0 maxInstances:1 operations:4
Resource: ID:103 name:Resource103 type:5 minInstances:0 maxInstances:1 operations:4
Resource: ID:104 name:Resource104 type:7 minInstances:0 maxInstances:1 operations:4
Resource: ID:105 name:Resource105 type:6 minInstances:0 maxInstances:1 operations:4
Resource: ID:106 name:Resource106 type:8 minInstances:0 maxInstances:1 operations:4
Resource: ID:107 name:Resource107 type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:200 name:Resource200 type:9 minInstances:0 maxInstances:65535 operations:4
Resource: ID:201 name:Resource201 type:10 minInstances:0 maxInstances:65535 operations:4
Resource: ID:202 name:Resource202 type:11 minInstances:0 maxInstances:65535 operations:4
Resource: ID:203 name:Resource203 type:12 minInstances:0 maxInstances:65535 operations:4
Resource: ID:204 name:Resource204 type:14 minInstances:0 maxInstances:65535 operations:4
Resource: ID:205 name:Resource205 type:13 minInstances:0 maxInstances:65535 operations:4
Resource: ID:206 name:Resource206 type:15 minInstances:0 maxInstances:65535 operations:4
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_object(self):
expectedStdout = """Object ID:1 name:LWM2MServer minInstances:1 maxInstances:65535
Resource: ID:0 name:ShortServerID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:Lifetime type:3 minInstances:1 maxInstances:1 operations:4
Resource: ID:2 name:DefaultMinimumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:3 name:DefaultMaximumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:4 name:Disable type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:5 name:DisableTimeout type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:6 name:NotificationStoringWhenDisabledorOffline type:5 minInstances:1 maxInstances:1 operations:4
Resource: ID:7 name:Binding type:2 minInstances:1 maxInstances:1 operations:4
Resource: ID:8 name:RegistrationUpdateTrigger type:1 minInstances:1 maxInstances:1 operations:5
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/1")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_multiple_object(self):
expectedStdout = """Object ID:1 name:LWM2MServer minInstances:1 maxInstances:65535
Resource: ID:0 name:ShortServerID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:Lifetime type:3 minInstances:1 maxInstances:1 operations:4
Resource: ID:2 name:DefaultMinimumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:3 name:DefaultMaximumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:4 name:Disable type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:5 name:DisableTimeout type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:6 name:NotificationStoringWhenDisabledorOffline type:5 minInstances:1 maxInstances:1 operations:4
Resource: ID:7 name:Binding type:2 minInstances:1 maxInstances:1 operations:4
Resource: ID:8 name:RegistrationUpdateTrigger type:1 minInstances:1 maxInstances:1 operations:5
Object ID:2 name:LWM2MAccessControl minInstances:0 maxInstances:65535
Resource: ID:0 name:ObjectID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:ObjectInstanceID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:2 name:ACL type:10 minInstances:0 maxInstances:65535 operations:4
Resource: ID:3 name:AccessControlOwner type:3 minInstances:1 maxInstances:1 operations:4
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/1 /2")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_object_instance(self):
expectedStdout = """Object ID:1 name:LWM2MServer minInstances:1 maxInstances:65535
Resource: ID:0 name:ShortServerID type:3 minInstances:1 maxInstances:1 operations:2
Resource: ID:1 name:Lifetime type:3 minInstances:1 maxInstances:1 operations:4
Resource: ID:2 name:DefaultMinimumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:3 name:DefaultMaximumPeriod type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:4 name:Disable type:1 minInstances:0 maxInstances:1 operations:5
Resource: ID:5 name:DisableTimeout type:3 minInstances:0 maxInstances:1 operations:4
Resource: ID:6 name:NotificationStoringWhenDisabledorOffline type:5 minInstances:1 maxInstances:1 operations:4
Resource: ID:7 name:Binding type:2 minInstances:1 maxInstances:1 operations:4
Resource: ID:8 name:RegistrationUpdateTrigger type:1 minInstances:1 maxInstances:1 operations:5
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/1/0")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_resource(self):
expectedStdout = """Object ID:3 name:Device minInstances:1 maxInstances:1
Resource: ID:0 name:Manufacturer type:2 minInstances:0 maxInstances:1 operations:2
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/3/0/0")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_multiple_resources(self):
expectedStdout = """Object ID:3 name:Device minInstances:1 maxInstances:1
Resource: ID:0 name:Manufacturer type:2 minInstances:0 maxInstances:1 operations:2
Object ID:4 name:ConnectivityMonitoring minInstances:0 maxInstances:1
Resource: ID:1 name:AvailableNetworkBearer type:10 minInstances:1 maxInstances:65535 operations:2
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/3/0/0 /4/0/1")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_non_exsistence_object(self):
expectedStdout = "Object 23456 not defined\n"
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/23456")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_non_exsistence_resource(self):
expectedStdout = """Object ID:3 name:Device minInstances:1 maxInstances:1
Resource 1111 not defined
"""
expectedStderr = ""
expectedCode = 0
result = client_explore(self.config, "/3/0/1111")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_invalid_path(self):
expectedStdout = ""
expectedStderr = "Target /-1/0/0 is not valid\n"
expectedCode = 0
result = client_explore(self.config, "/-1/0/0")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_invalid_object(self):
expectedStdout = ""
expectedStderr = "Target /@@adf%%% is not valid\n"
expectedCode = 0
result = client_explore(self.config, "/@@adf%%%")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
@unittest.skip("maintenance headache")
def test_explore_invalid_resource(self):
expectedStdout = ""
expectedStderr = "Target /3/0/%@%$ is not valid\n"
expectedCode = 0
result = client_explore(self.config, "/3/0/%@%$")
self.assertEqual(expectedStdout, result.stdout)
self.assertEqual(expectedStderr, result.stderr)
self.assertEqual(expectedCode, result.code)
class TestExploreBasic(tools_common.BasicTestCase):
@unittest.skip("maintenance headache")
def test_get_help(self):
expectedStdout = """awa-client-explore 1.0
LWM2M Client Objects/Resource Explore Operation
Usage: awa-client-explore [OPTIONS]... [PATHS]...
-h, --help Print help and exit
-V, --version Print version and exit
-v, --verbose Increase program verbosity (default=off)
-d, --debug Increase program verbosity (default=off)
-a, --ipcAddress=ADDRESS Connect to Client IPC Address
(default=`127.0.0.1')
-p, --ipcPort=PORT Connect to Client IPC port (default=`12345')
-q, --quiet Print values only (quiet) (default=off)
Specify one or more object, object instance and resource paths
in the format "/O/I/R", separated by spaces. For example:
/3 /4 /4/0/7 /5/0/0 /5
"""
expectedStderr = ""
expectedCode = 0
helpOptions = ("--help","-h")
for option in helpOptions:
code, stdout, stderr = client_explore(self.config, option)
self.assertEqual(expectedStdout, stdout)
self.assertEqual(expectedStderr, stderr)
self.assertEqual(expectedCode, code)
@unittest.skip("maintenance headache")
def test_get_version(self):
expectedStdout = "awa-client-explore 1.0\n"
expectedStderr = ""
expectedCode = 0
versionOptions = ("--version","-V")
for option in versionOptions:
code, stdout, stderr = client_explore(self.config, option)
self.assertEqual(expectedStdout, stdout)
self.assertEqual(expectedStderr, stderr)
self.assertEqual(expectedCode, code)
| 61.637602
| 122
| 0.735158
| 2,891
| 22,621
| 5.732964
| 0.127983
| 0.085073
| 0.160975
| 0.111379
| 0.807892
| 0.799566
| 0.79311
| 0.777121
| 0.739713
| 0.739532
| 0
| 0.063495
| 0.172892
| 22,621
| 366
| 123
| 61.806011
| 0.822341
| 0.084302
| 0
| 0.584158
| 0
| 0
| 0.749215
| 0.054081
| 0
| 0
| 0
| 0
| 0.128713
| 1
| 0.046205
| false
| 0
| 0.013201
| 0.0033
| 0.069307
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 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
| 0
|
0
| 7
|
b5d0bfd71d03e04ab8522f6b1488fb988ae4d3ea
| 92
|
py
|
Python
|
miniconda3-lnx/pkgs/cffi-1.14.0-py37he30daa8_1/info/test/run_test.py
|
Thibaut-Kovaltchouk/MultiPyzo
|
a15ecf77e31ebeb195e70385f5ac132f6ab4504d
|
[
"CC0-1.0"
] | null | null | null |
miniconda3-lnx/pkgs/cffi-1.14.0-py37he30daa8_1/info/test/run_test.py
|
Thibaut-Kovaltchouk/MultiPyzo
|
a15ecf77e31ebeb195e70385f5ac132f6ab4504d
|
[
"CC0-1.0"
] | 1
|
2019-04-02T23:35:13.000Z
|
2019-04-02T23:35:13.000Z
|
miniconda3-lnx/pkgs/cffi-1.14.0-py37he30daa8_1/info/test/run_test.py
|
Thibaut-Kovaltchouk/MultiPyzo
|
a15ecf77e31ebeb195e70385f5ac132f6ab4504d
|
[
"CC0-1.0"
] | null | null | null |
print("import: 'cffi'")
import cffi
print("import: '_cffi_backend'")
import _cffi_backend
| 13.142857
| 32
| 0.73913
| 12
| 92
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| 0.333333
| 0.625
| 0.46875
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 92
| 6
| 33
| 15.333333
| 0.780488
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| true
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| null | 0
| 0
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| 0
| 0
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| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 8
|
bd4ea054a62aacad464ed42b042818f747cc07f1
| 5,201
|
py
|
Python
|
config.py
|
Tharlaw/petsrus
|
31065f232517ee4119f0bfe7bad46086389aa231
|
[
"MIT"
] | null | null | null |
config.py
|
Tharlaw/petsrus
|
31065f232517ee4119f0bfe7bad46086389aa231
|
[
"MIT"
] | 15
|
2019-08-20T18:54:35.000Z
|
2020-08-17T09:43:14.000Z
|
config.py
|
Eorate/petsrus
|
31065f232517ee4119f0bfe7bad46086389aa231
|
[
"MIT"
] | null | null | null |
import os
import tempfile
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
DEBUG = False
TESTING = False
CSRF_ENABLED = True
UPLOAD_FOLDER = tempfile.gettempdir()
ALLOWED_EXTENSIONS = {"png", "jpg", "jpeg", "gif"}
MAX_CONTENT_LENGTH = 5 * 1024 * 1024 # 5MB
class ProductionConfig(Config):
DEBUG = os.environ.get("DEBUG", default=False)
if str(DEBUG).lower() in ("f", "false"):
DEBUG = False
SECRET_KEY = os.environ.get("SECRET_KEY", default=None)
if not SECRET_KEY:
raise ValueError("No secret key set for Flask application")
SENTRY_URI = os.environ.get("SENTRY_URL", default=None)
if not SENTRY_URI:
raise ValueError("No sentry url provided for Flask application")
SENTRY_ENVIRONMENT = os.environ.get("SENTRY_ENVIRONMENT", default=None)
if not SENTRY_ENVIRONMENT:
raise ValueError("No sentry project environment provided for Flask application")
SQLALCHEMY_DATABASE_URI = os.environ.get("DATABASE_URL", default=None)
if not SQLALCHEMY_DATABASE_URI:
raise ValueError("No database url provided for Flask application")
AWS_ACCESS_KEY = os.environ.get("AWS_ACCESS_KEY_ID")
if not AWS_ACCESS_KEY:
raise ValueError("No AWS ACCESS KEY")
AWS_SECRET_ACCESS_KEY = os.environ.get("AWS_SECRET_ACCESS_KEY")
if not AWS_SECRET_ACCESS_KEY:
raise ValueError("No AWS SECRET ACCESS KEY")
AWS_DEFAULT_REGION = os.environ.get("AWS_DEFAULT_REGION")
if not AWS_DEFAULT_REGION:
raise ValueError("No AWS DEFAULT REGION")
S3_BUCKET = os.environ.get("S3_BUCKET")
if not S3_BUCKET:
raise ValueError("No S3 BUCKET")
BACKBLAZE_URL = os.environ.get("BACKBLAZE_URL")
if not BACKBLAZE_URL:
raise ValueError("No BackBlaze url provided")
UPLOADED_IMAGE_URL = os.environ.get("UPLOADED_IMAGE_URL")
if not UPLOADED_IMAGE_URL:
raise ValueError("No Uploaded Image url provided")
class DevelopmentConfig(Config):
DEBUG = os.environ.get("DEBUG", default=False)
if str(DEBUG).lower() in ("f", "false"):
DEBUG = False
SECRET_KEY = os.environ.get("SECRET_KEY", default=None)
if not SECRET_KEY:
raise ValueError("No secret key set for Flask application")
SENTRY_URI = os.environ.get("SENTRY_URL", default=None)
if not SENTRY_URI:
raise ValueError("No sentry url provided for Flask application")
SENTRY_ENVIRONMENT = os.environ.get("SENTRY_ENVIRONMENT", default=None)
if not SENTRY_ENVIRONMENT:
raise ValueError("No sentry project environment provided for Flask application")
SQLALCHEMY_DATABASE_URI = os.environ.get("DATABASE_URL", default=None)
if not SQLALCHEMY_DATABASE_URI:
raise ValueError("No database url provided for Flask application")
SQLALCHEMY_TRACK_MODIFICATIONS = os.environ.get(
"SQLALCHEMY_TRACK_MODIFICATIONS", default=False
)
AWS_ACCESS_KEY = os.environ.get("AWS_ACCESS_KEY_ID")
if not AWS_ACCESS_KEY:
raise ValueError("No AWS ACCESS KEY")
AWS_SECRET_ACCESS_KEY = os.environ.get("AWS_SECRET_ACCESS_KEY")
if not AWS_SECRET_ACCESS_KEY:
raise ValueError("No AWS SECRET ACCESS KEY")
AWS_DEFAULT_REGION = os.environ.get("AWS_DEFAULT_REGION")
if not AWS_DEFAULT_REGION:
raise ValueError("No AWS DEFAULT REGION")
S3_BUCKET = os.environ.get("S3_BUCKET")
if not S3_BUCKET:
raise ValueError("No S3 BUCKET")
BACKBLAZE_URL = os.environ.get("BACKBLAZE_URL")
if not BACKBLAZE_URL:
raise ValueError("No BackBlaze url provided")
UPLOADED_IMAGE_URL = os.environ.get("UPLOADED_IMAGE_URL")
if not UPLOADED_IMAGE_URL:
raise ValueError("No Uploaded Image url provided")
class TestingConfig(Config):
DEBUG = os.environ.get("DEBUG", default=False)
if str(DEBUG).lower() in ("f", "false"):
DEBUG = False
SECRET_KEY = os.environ.get("SECRET_KEY", default=None)
if not SECRET_KEY:
raise ValueError("No secret key set for Flask application")
SENTRY_URI = os.environ.get("SENTRY_URL", default=None)
if not SENTRY_URI:
raise ValueError("No sentry url provided for Flask application")
SENTRY_ENVIRONMENT = os.environ.get("SENTRY_ENVIRONMENT", default=None)
if not SENTRY_ENVIRONMENT:
raise ValueError("No sentry project environment provided for Flask application")
SQLALCHEMY_DATABASE_URI = os.environ.get("DATABASE_URL", default=None)
if not SQLALCHEMY_DATABASE_URI:
raise ValueError("No database url provided for Flask application")
S3_BUCKET = os.environ.get("S3_BUCKET")
if not S3_BUCKET:
raise ValueError("No S3 BUCKET")
BACKBLAZE_URL = os.environ.get("BACKBLAZE_URL")
if not BACKBLAZE_URL:
raise ValueError("No BackBlaze url provided")
UPLOADED_IMAGE_URL = os.environ.get("UPLOADED_IMAGE_URL")
if not UPLOADED_IMAGE_URL:
raise ValueError("No Uploaded Image url provided")
SQLALCHEMY_TRACK_MODIFICATIONS = os.environ.get(
"SQLALCHEMY_TRACK_MODIFICATIONS", default=False
)
WTF_CSRF_ENABLED = False
CSRF_ENABLED = False
LOGIN_DISABLED = True
| 34.217105
| 88
| 0.707556
| 693
| 5,201
| 5.103896
| 0.109668
| 0.081425
| 0.108567
| 0.054283
| 0.914051
| 0.914051
| 0.914051
| 0.914051
| 0.914051
| 0.914051
| 0
| 0.005283
| 0.199385
| 5,201
| 151
| 89
| 34.443709
| 0.84414
| 0.000577
| 0
| 0.848214
| 0
| 0
| 0.265589
| 0.01963
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.017857
| 0
| 0.419643
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
1faf961cf10532474f9171b5604dec516713df42
| 9,521
|
py
|
Python
|
tests/testDbProfilerViewer.py
|
sutoh/Hecatoncheir
|
736c3c989c54ce46e9bcbb601fb53f5c6a8f40a1
|
[
"Apache-2.0"
] | 13
|
2017-05-09T08:48:54.000Z
|
2018-09-21T07:57:08.000Z
|
tests/testDbProfilerViewer.py
|
sutoh/Hecatoncheir
|
736c3c989c54ce46e9bcbb601fb53f5c6a8f40a1
|
[
"Apache-2.0"
] | 11
|
2017-05-11T03:46:49.000Z
|
2017-12-24T00:28:58.000Z
|
tests/testDbProfilerViewer.py
|
sutoh/Hecatoncheir
|
736c3c989c54ce46e9bcbb601fb53f5c6a8f40a1
|
[
"Apache-2.0"
] | 3
|
2018-03-16T15:30:26.000Z
|
2022-03-25T16:55:55.000Z
|
#!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
import json
import os
import sys
import time
import unittest
sys.path.append('..')
import requests
class TestDbProfilerViewer(unittest.TestCase):
def setUp(self):
self.maxDiff = None
self.headers = {'content-type': 'application/json'}
for i in range(1,10):
ep = "http://localhost:8080" + '/api/validation'
requests.delete(ep + '/%d' % i,
headers=self.headers)
def tearDown(self):
pass
def test_api_validation_create_001(self):
ep = "http://localhost:8080" + '/api/validation'
payload = {'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': None,
'param2': None}
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(400,r.status_code)
self.assertEqual({u'message': u'the same rule already exists.', u'status': u'error'}, r.json())
def test_api_validation_create_002(self):
ep = "http://localhost:8080" + '/api/validation'
# empty data
r = requests.post(ep,
headers=self.headers)
self.assertEqual(400,r.status_code)
self.assertEqual({u'message': u'the request data is empty.', u'status': u'error'}, r.json())
# incorrect data
r = requests.post(ep,
data='data',
headers=self.headers)
self.assertEqual(400,r.status_code)
self.assertEqual({u'message': u'incorrect data format.', u'status': u'error'}, r.json())
def test_api_validation_get_001(self):
ep = "http://localhost:8080" + '/api/validation'
payload = {'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': None,
'param2': None}
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
r = requests.get(ep + "/1",
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1,
'status': 'success',
'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': '',
'param2': ''}, r.json())
r = requests.get(ep + "/2",
headers=self.headers)
self.assertEqual(400, r.status_code)
self.assertEqual({'message': 'rule id 2 not found.', 'status': 'error'}, r.json())
def test_api_validation_get_002(self):
ep = "http://localhost:8080" + '/api/validation'
payload = {'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': None,
'param2': None}
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
payload = {'database_name': 'db2',
'schema_name': 'schema2',
'table_name': 'table2',
'column_name': 'col2',
'description': 'desc2',
'rule': 'rule2',
'param': 'param2',
'param2': 'param22'}
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 2, 'status': 'success'}, r.json())
r = requests.get(ep,
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'status': 'success',
'data': [{'id': 1,
'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': '',
'param2': ''},
{'id': 2,
'database_name': 'db2',
'schema_name': 'schema2',
'table_name': 'table2',
'column_name': 'col2',
'description': 'desc2',
'rule': 'rule2',
'param': 'param2',
'param2': 'param22'}]}, r.json())
def test_api_validation_put_001(self):
ep = "http://localhost:8080" + '/api/validation'
payload = {'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': None,
'param2': None}
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
r = requests.get(ep + "/1",
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1,
'status': 'success',
'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': '',
'param2': ''}, r.json())
# update
payload = {'database_name': 'db2',
'schema_name': 'schema2',
'table_name': 'table2',
'column_name': 'col2',
'description': 'desc2',
'rule': 'rule2',
'param': 'param2',
'param2': 'param22'}
r = requests.put(ep + "/1",
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
r = requests.get(ep + "/1",
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1,
'status': 'success',
'database_name': 'db2',
'schema_name': 'schema2',
'table_name': 'table2',
'column_name': 'col2',
'description': 'desc2',
'rule': 'rule2',
'param': 'param2',
'param2': 'param22'}, r.json())
def test_api_validation_delete_001(self):
ep = "http://localhost:8080" + '/api/validation'
payload = {'database_name': 'db',
'schema_name': 'schema',
'table_name': 'table',
'column_name': 'col',
'description': 'desc',
'rule': 'rule',
'param': None,
'param2': None}
r = requests.post(ep,
data=json.dumps(payload),
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
# first delete
r = requests.delete(ep + '/1',
headers=self.headers)
self.assertEqual(201,r.status_code)
self.assertEqual({'id': 1, 'status': 'success'}, r.json())
# second delete
r = requests.delete(ep + '/1',
headers=self.headers)
self.assertEqual(400,r.status_code)
if __name__ == '__main__':
unittest.main()
| 39.020492
| 103
| 0.423065
| 815
| 9,521
| 4.823313
| 0.125153
| 0.097939
| 0.082422
| 0.095141
| 0.882473
| 0.864157
| 0.847367
| 0.847367
| 0.819384
| 0.815823
| 0
| 0.032066
| 0.436614
| 9,521
| 243
| 104
| 39.18107
| 0.700783
| 0.011028
| 0
| 0.817308
| 0
| 0
| 0.200021
| 0
| 0.033654
| 0
| 0
| 0
| 0.158654
| 1
| 0.038462
| false
| 0.004808
| 0.028846
| 0
| 0.072115
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
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| 0
| null | 0
| 0
| 0
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| 0
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| 0
| 0
|
0
| 7
|
1fe7510e2a66710d5838d56e44f296723ff1eea8
| 10,170
|
py
|
Python
|
src/utils.py
|
h1w/voice-welcome
|
08d12358146a112fe304be4c31dcdd41bb0ea396
|
[
"BSD-3-Clause"
] | null | null | null |
src/utils.py
|
h1w/voice-welcome
|
08d12358146a112fe304be4c31dcdd41bb0ea396
|
[
"BSD-3-Clause"
] | null | null | null |
src/utils.py
|
h1w/voice-welcome
|
08d12358146a112fe304be4c31dcdd41bb0ea396
|
[
"BSD-3-Clause"
] | null | null | null |
import wave
def ConvertPcmToWav(name, output_name):
with open(name, 'rb') as pcmfile:
pcmdata = pcmfile.read()
with wave.open(output_name, 'wb') as wavfile:
wavfile.setparams((1, 2, 44100, 1, 'NONE', 'NONE'))
wavfile.writeframes(pcmdata)
def localtime_support_func(correct_time):
if (int(correct_time[0]) >= 5 and int(correct_time[0]) <= 20):
if (int(correct_time[2]) == 0):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас ровно {} часов и {} минута".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif(int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас ровно {} часов и {} минуты".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас ровно {} часов и {} минут".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif ((int(correct_time[2])%10 == 1 or int(correct_time[2])%10 == 0) or (int(correct_time[2]) >= 10 and int(correct_time[2]) < 20) or (int(correct_time[2])%10 >= 5 and int(correct_time[2])%10 <= 9)):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часов, {} минута и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif(int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часов, {} минуты и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} часов, {} минут и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[2])%10 == 1):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часов, {} минута и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часов, {} минуты и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} часов, {} минут и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[2])%10 <= 4):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часов, {} минута и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часов, {} минуты и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} часов, {} минут и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
if (int(correct_time[0]) == 1 or int(correct_time[0]) == 21):
if (int(correct_time[2]) == 0):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас ровно {} час и {} минута".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif(int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас ровно {} час и {} минуты".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас ровно {} час и {} минут".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif ((int(correct_time[2])%10 == 1 or int(correct_time[2])%10 == 0) or (int(correct_time[2]) >= 10 and int(correct_time[2]) < 20) or (int(correct_time[2])%10 >= 5 and int(correct_time[2])%10 <= 9)):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} час, {} минута и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif(int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} час, {} минуты и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} час, {} минут и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[2])%10 == 1):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} час, {} минута и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} час, {} минуты и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} час, {} минут и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[2])%10 <= 4):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} час, {} минута и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} час, {} минуты и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} час, {} минут и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
if ((int(correct_time[0])%10 >= 2 and int(correct_time[0]) <= 4) and (int(correct_time[0]) < 10 or int(correct_time[0]) > 20)):
if (int(correct_time[2]) == 0):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас ровно {} часа и {} минута".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif(int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас ровно {} часа и {} минуты".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас ровно {} часа и {} минут".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif ((int(correct_time[2])%10 == 1 or int(correct_time[2])%10 == 0) or (int(correct_time[2]) >= 10 and int(correct_time[2]) < 20) or (int(correct_time[2])%10 >= 5 and int(correct_time[2])%10 <= 9)):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часа, {} минута и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif(int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часа, {} минуты и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} часа, {} минут и {} секунд".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[2])%10 == 1):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часа, {} минута и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часа, {} минуты и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} часа, {} минут и {} секунда".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[2])%10 <= 4):
if (int(correct_time[1])%10 == 1 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часа, {} минута и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
elif (int(correct_time[1])%10 >= 2 and int(correct_time[1])%10 <= 4 and (int(correct_time[1]) >= 20 or int(correct_time[1]) <= 10)):
return "Местное время сейчас {} часа, {} минуты и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
else:
return "Местное время сейчас {} часа, {} минут и {} секунды".format(int(correct_time[0]),int(correct_time[1]),int(correct_time[2]))
| 93.302752
| 208
| 0.608948
| 1,578
| 10,170
| 3.777567
| 0.034854
| 0.420735
| 0.533132
| 0.301963
| 0.964939
| 0.95437
| 0.951015
| 0.949002
| 0.949002
| 0.949002
| 0
| 0.064397
| 0.20295
| 10,170
| 109
| 209
| 93.302752
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| 1
| 0.021053
| false
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| 0.010526
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| 0.410526
| 0
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| null | 1
| 1
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| 1
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| null | 0
| 0
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| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 9
|
1ffae362b527ceec3df7b967e270b0cc7e638bc3
| 1,330
|
py
|
Python
|
tests/NFToken/test_no_transfer.py
|
1Blackdiamondsc/nftoken
|
8c36a9dd2b82d2e654c311836e27da01c5c83c9a
|
[
"MIT"
] | 56
|
2019-09-25T08:14:14.000Z
|
2022-03-26T04:40:26.000Z
|
tests/NFToken/test_no_transfer.py
|
1Blackdiamondsc/nftoken
|
8c36a9dd2b82d2e654c311836e27da01c5c83c9a
|
[
"MIT"
] | 2
|
2019-09-26T14:14:38.000Z
|
2020-02-27T13:07:35.000Z
|
tests/NFToken/test_no_transfer.py
|
1Blackdiamondsc/nftoken
|
8c36a9dd2b82d2e654c311836e27da01c5c83c9a
|
[
"MIT"
] | 20
|
2020-08-09T16:01:59.000Z
|
2022-03-31T15:58:29.000Z
|
#!/usr/bin/python3
def test_same_addr_transferRange(accounts, nft):
ranges = nft.rangesOf(accounts[2])
nft.transferRange(accounts[2], 11000, 12000, {"from": accounts[2]})
assert nft.rangesOf(accounts[2]) == ranges
assert nft.balanceOf(accounts[2]) == 10000
def test_same_addr_transfer(accounts, nft):
ranges = nft.rangesOf(accounts[2])
nft.transfer(accounts[2], 1000, {"from": accounts[2]})
assert nft.rangesOf(accounts[2]) == ranges
assert nft.balanceOf(accounts[2]) == 10000
def test_same_addr_transferFrom(accounts, nft):
ranges = nft.rangesOf(accounts[2])
nft.approve(accounts[1], 1000, {"from": accounts[2]})
nft.transferFrom(accounts[2], accounts[2], 1000, {"from": accounts[1]})
assert nft.rangesOf(accounts[2]) == ranges
assert nft.balanceOf(accounts[2]) == 10000
def test_zero_tokens_transfer(accounts, nft):
ranges = nft.rangesOf(accounts[2])
nft.transfer(accounts[2], 0, {"from": accounts[2]})
assert nft.rangesOf(accounts[2]) == ranges
assert nft.balanceOf(accounts[2]) == 10000
def test_zero_tokens_transferFrom(accounts, nft):
ranges = nft.rangesOf(accounts[2])
nft.transferFrom(accounts[2], accounts[1], 0, {"from": accounts[1]})
assert nft.rangesOf(accounts[2]) == ranges
assert nft.balanceOf(accounts[2]) == 10000
| 30.930233
| 75
| 0.689474
| 176
| 1,330
| 5.125
| 0.153409
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| 0.889135
| 0.879157
| 0.879157
| 0.801552
| 0.757206
| 0.641907
| 0
| 0.069726
| 0.14812
| 1,330
| 42
| 76
| 31.666667
| 0.72639
| 0.012782
| 0
| 0.576923
| 0
| 0
| 0.018293
| 0
| 0
| 0
| 0
| 0
| 0.384615
| 1
| 0.192308
| false
| 0
| 0
| 0
| 0.192308
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
1f8530e23e96210fd6ae00d59b431d327e03a61d
| 11,145
|
py
|
Python
|
jmetal/operator/test/test_mutation.py
|
pedronarloch/jMetalPy_phD
|
c16a31a65c23a203d439f33a4d99668982e7c25b
|
[
"MIT"
] | null | null | null |
jmetal/operator/test/test_mutation.py
|
pedronarloch/jMetalPy_phD
|
c16a31a65c23a203d439f33a4d99668982e7c25b
|
[
"MIT"
] | null | null | null |
jmetal/operator/test/test_mutation.py
|
pedronarloch/jMetalPy_phD
|
c16a31a65c23a203d439f33a4d99668982e7c25b
|
[
"MIT"
] | null | null | null |
import unittest
from jmetal.core.solution import BinarySolution, FloatSolution, IntegerSolution
from jmetal.operator.mutation import BitFlipMutation, UniformMutation, SimpleRandomMutation, PolynomialMutation, \
IntegerPolynomialMutation
class PolynomialMutationTestMethods(unittest.TestCase):
def test_should_constructor_raises_an_exception_is_probability_is_negative(self) -> None:
with self.assertRaises(Exception):
PolynomialMutation(-1)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(self) -> None:
with self.assertRaises(Exception):
PolynomialMutation(1.01)
def test_should_constructor_create_a_non_null_object(self):
mutation = PolynomialMutation(1.0)
self.assertIsNotNone(mutation)
def test_should_constructor_create_a_valid_operator(self):
operator = PolynomialMutation(0.5, 20)
self.assertEqual(0.5, operator.probability)
self.assertEqual(20, operator.distribution_index)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(self):
with self.assertRaises(Exception):
PolynomialMutation(2)
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(self):
with self.assertRaises(Exception):
PolynomialMutation(-12)
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(self):
operator = PolynomialMutation(0.0)
solution = FloatSolution([-5, -5, -5], [5, 5, 5], 2)
solution.variables = [1.0, 2.0, 3.0]
mutated_solution = operator.execute(solution)
self.assertEqual([1.0, 2.0, 3.0], mutated_solution.variables)
def test_should_the_solution_change__if_the_probability_is_one(self):
operator = PolynomialMutation(1.0)
solution = FloatSolution([-5, -5, -5], [5, 5, 5], 2)
solution.variables = [1.0, 2.0, 3.0]
FloatSolution.lower_bound = [-5, -5, -5]
FloatSolution.upper_bound = [5, 5, 5]
mutated_solution = operator.execute(solution)
self.assertNotEqual([1.0, 2.0, 3.0], mutated_solution.variables)
class BitFlipTestCases(unittest.TestCase):
def test_should_constructor_raises_an_exception_is_probability_is_negative(self) -> None:
with self.assertRaises(Exception):
BitFlipMutation(-1)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(self) -> None:
with self.assertRaises(Exception):
BitFlipMutation(1.01)
def test_should_constructor_create_a_non_null_object(self):
solution = BitFlipMutation(1.0)
self.assertIsNotNone(solution)
def test_should_constructor_create_a_valid_operator(self):
operator = BitFlipMutation(0.5)
self.assertEqual(0.5, operator.probability)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(self):
with self.assertRaises(Exception):
BitFlipMutation(2)
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(self):
with self.assertRaises(Exception):
BitFlipMutation(-12)
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(self):
operator = BitFlipMutation(0.0)
solution = BinarySolution(number_of_variables=1, number_of_objectives=1)
solution.variables[0] = [True, True, False, False, True, False]
mutated_solution = operator.execute(solution)
self.assertEqual([True, True, False, False, True, False], mutated_solution.variables[0])
def test_should_the_solution_change_all_the_bits_if_the_probability_is_one(self):
operator = BitFlipMutation(1.0)
solution = BinarySolution(number_of_variables=2, number_of_objectives=1)
solution.variables[0] = [True, True, False, False, True, False]
solution.variables[1] = [False, True, True, False, False, True]
mutated_solution = operator.execute(solution)
self.assertEqual([False, False, True, True, False, True], mutated_solution.variables[0])
self.assertEqual([True, False, False, True, True, False], mutated_solution.variables[1])
class UniformMutationTestCases(unittest.TestCase):
def test_should_constructor_raises_an_exception_is_probability_is_negative(self) -> None:
with self.assertRaises(Exception):
UniformMutation(-1)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(self) -> None:
with self.assertRaises(Exception):
UniformMutation(1.01)
def test_should_constructor_create_a_non_null_object(self):
operator = UniformMutation(0.3)
operator2 = UniformMutation(0.3, 0.7)
self.assertIsNotNone(operator)
self.assertIsNotNone(operator2)
def test_should_constructor_create_a_valid_operator(self):
operator = UniformMutation(0.5, 20)
self.assertEqual(0.5, operator.probability)
self.assertEqual(20, operator.perturbation)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(self):
with self.assertRaises(Exception):
UniformMutation(2)
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(self):
with self.assertRaises(Exception):
UniformMutation(-12)
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(self):
operator = UniformMutation(0.0, 3.0)
solution = FloatSolution([-5, -5, -5], [5, 5, 5], 1)
solution.variables = [1.0, 2.0, 3.0]
mutated_solution = operator.execute(solution)
self.assertEqual([1.0, 2.0, 3.0], mutated_solution.variables)
def test_should_the_solution_change_if_the_probability_is_one(self):
operator = UniformMutation(1.0, 3.0)
solution = FloatSolution([-5, -5, -5], [5, 5, 5], 1)
solution.variables = [1.0, 2.0, 3.0]
mutated_solution = operator.execute(solution)
self.assertNotEqual([1.0, 2.0, 3.0], mutated_solution.variables)
def test_should_the_solution_change_between_max_and_min_value(self):
operator = UniformMutation(1.0, 5)
solution = FloatSolution([-1, 12, -3, -5], [1, 17, 3, -2], 1)
solution.variables = [-7.0, 3.0, 12.0, 13.4]
mutated_solution = operator.execute(solution)
for i in range(solution.number_of_variables):
self.assertGreaterEqual(mutated_solution.variables[i], solution.lower_bound[i])
self.assertLessEqual(mutated_solution.variables[i], solution.upper_bound[i])
class RandomMutationTestCases(unittest.TestCase):
def test_should_constructor_raises_an_exception_is_probability_is_negative(self) -> None:
with self.assertRaises(Exception):
SimpleRandomMutation(-1)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(self) -> None:
with self.assertRaises(Exception):
SimpleRandomMutation(1.01)
def test_should_constructor_create_a_non_null_object(self):
operator = SimpleRandomMutation(1.0)
self.assertIsNotNone(operator)
def test_should_constructor_create_a_valid_operator(self):
operator = SimpleRandomMutation(0.5)
self.assertEqual(0.5, operator.probability)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(self):
with self.assertRaises(Exception):
SimpleRandomMutation(2)
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(self):
with self.assertRaises(Exception):
SimpleRandomMutation(-12)
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(self):
operator = SimpleRandomMutation(0.0)
solution = FloatSolution([-5, -5, -5], [5, 5, 5], 1)
solution.variables = [1.0, 2.0, 3.0]
mutated_solution = operator.execute(solution)
self.assertEqual([1.0, 2.0, 3.0], mutated_solution.variables)
def test_should_the_solution_change_if_the_probability_is_one(self):
operator = SimpleRandomMutation(1.0)
solution = FloatSolution([-5, -5, -5], [5, 5, 5], 1)
solution.variables = [1.0, 2.0, 3.0]
mutated_solution = operator.execute(solution)
self.assertNotEqual([1.0, 2.0, 3.0], mutated_solution.variables)
def test_should_the_solution_change_between_max_and_min_value(self):
operator = SimpleRandomMutation(1.0)
solution = FloatSolution([-1, 12, -3, -5], [1, 17, 3, -2], 1)
solution.variables = [-7.0, 3.0, 12.0, 13.4]
mutated_solution = operator.execute(solution)
for i in range(solution.number_of_variables):
self.assertGreaterEqual(mutated_solution.variables[i], solution.lower_bound[i])
self.assertLessEqual(mutated_solution.variables[i], solution.upper_bound[i])
class IntegerPolynomialMutationTestCases(unittest.TestCase):
def test_should_constructor_raises_an_exception_is_probability_is_negative(self) -> None:
with self.assertRaises(Exception):
IntegerPolynomialMutation(-1)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(self) -> None:
with self.assertRaises(Exception):
IntegerPolynomialMutation(1.01)
def test_should_constructor_create_a_non_null_object(self):
operator = IntegerPolynomialMutation(1.0)
self.assertIsNotNone(operator)
def test_should_constructor_create_a_valid_operator(self):
operator = IntegerPolynomialMutation(0.5, 20)
self.assertEqual(0.5, operator.probability)
self.assertEqual(20, operator.distribution_index)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(self):
with self.assertRaises(Exception):
IntegerPolynomialMutation(2)
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(self):
with self.assertRaises(Exception):
IntegerPolynomialMutation(-12)
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(self):
operator = IntegerPolynomialMutation(0.0)
solution = IntegerSolution([-5, -5, -5], [5, 5, 5], 2)
solution.variables = [1, 2, 3]
mutated_solution = operator.execute(solution)
self.assertEqual([1, 2, 3], mutated_solution.variables)
self.assertEqual([True, True, True], [isinstance(x, int) for x in mutated_solution.variables])
def test_should_the_solution_change__if_the_probability_is_one(self):
operator = IntegerPolynomialMutation(1.0)
solution = IntegerSolution([-5, -5, -5], [5, 5, 5], 2)
solution.variables = [1, 2, 3]
mutated_solution = operator.execute(solution)
self.assertNotEqual([1, 2, 3], mutated_solution.variables)
self.assertEqual([True, True, True], [isinstance(x, int) for x in mutated_solution.variables])
if __name__ == '__main__':
unittest.main()
| 43.365759
| 114
| 0.723463
| 1,367
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| 0.074616
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| 0
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| 256
| 115
| 43.535156
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0
| 7
|
2f0b04513f003a38ec03b956557d19d2b2997f0e
| 1,461
|
py
|
Python
|
chapter08/Exercise5.py
|
YordanIH/Intro_to_CS_w_Python
|
eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a
|
[
"MIT"
] | null | null | null |
chapter08/Exercise5.py
|
YordanIH/Intro_to_CS_w_Python
|
eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a
|
[
"MIT"
] | null | null | null |
chapter08/Exercise5.py
|
YordanIH/Intro_to_CS_w_Python
|
eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a
|
[
"MIT"
] | null | null | null |
"""In this exercise, you’ll create a list and then answer questions about that list.
Assign a list that contains the atomic numbers of the six alkaline earth metals—beryllium (4), magnesium (12), calcium (20), strontium (38), barium (56), and radium (88)—to a variable called alkaline_earth_metals.
Which index contains radium’s atomic number? Write the answer in two ways, one using a positive index and one using a negative index.
Which function tells you how many items there are in alkaline_earth_metals?
Write code that returns the highest atomic number in alkaline_earth_metals. (Hint: Use one of the functions from Table 10, List Functions.)"""
#Assign a list that contains the atomic numbers of the six alkaline earth metals—beryllium (4), magnesium (12), calcium (20), strontium (38), barium (56), and radium (88)—to a variable called alkaline_earth_metals.
>>> alkaline_earth_metals = [4,12,20,38,56,88 ]
>>> alkaline_earth_metals
[4, 12, 20, 38, 56, 88]
#Which index contains radium’s atomic number? Write the answer in two ways, one using a positive index and one using a negative index.
>>> alkaline_earth_metals.index(88)
5
>>> alkaline_earth_metals[-1]
88
#Which function tells you how many items there are in alkaline_earth_metals?
>>> len(alkaline_earth_metals)
6
#Write code that returns the highest atomic number in alkaline_earth_metals. (Hint: Use one of the functions from Table 10, List Functions.)"""
max(alkaline_earth_metals)
88
| 63.521739
| 214
| 0.772758
| 246
| 1,461
| 4.50813
| 0.292683
| 0.164112
| 0.239856
| 0.075744
| 0.854824
| 0.854824
| 0.854824
| 0.854824
| 0.854824
| 0.800721
| 0
| 0.045564
| 0.143737
| 1,461
| 22
| 215
| 66.409091
| 0.83773
| 0.386721
| 0
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | null | 0
| 0
| null | null | 0
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| 0
| null | 0
| 1
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| 1
| 1
| 1
| 1
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| 1
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0
| 8
|
2f0bfbec1464c9d23304e6b23025404d91362226
| 1,948
|
py
|
Python
|
bridgebots/tests/test_double_dummy_score.py
|
forrestrice/bridge-bots
|
650ab67a157fd83528f3170282db595aa6d5e519
|
[
"MIT"
] | 13
|
2019-05-16T05:35:57.000Z
|
2022-01-23T22:21:21.000Z
|
bridgebots/tests/test_double_dummy_score.py
|
forrestrice/bridge-bots
|
650ab67a157fd83528f3170282db595aa6d5e519
|
[
"MIT"
] | 7
|
2021-08-28T07:07:15.000Z
|
2022-01-18T17:37:12.000Z
|
bridgebots/tests/test_double_dummy_score.py
|
forrestrice/bridge-bots
|
650ab67a157fd83528f3170282db595aa6d5e519
|
[
"MIT"
] | 4
|
2021-09-26T17:20:09.000Z
|
2022-01-23T22:21:24.000Z
|
import unittest
from bridgebots.deal_enums import BiddingSuit, Direction
from bridgebots.double_dummy import DoubleDummyScore
class TestDoubleDummyScore(unittest.TestCase):
def test_parse(self):
dd_score = DoubleDummyScore.from_acbl_strings("C4 D6 H5 S6 NT4", "2C 2/-H 1S 3/2NT D6 H8/6")
self.assertEqual(4, dd_score.scores[Direction.NORTH][BiddingSuit.CLUBS])
self.assertEqual(6, dd_score.scores[Direction.NORTH][BiddingSuit.DIAMONDS])
self.assertEqual(5, dd_score.scores[Direction.NORTH][BiddingSuit.HEARTS])
self.assertEqual(6, dd_score.scores[Direction.NORTH][BiddingSuit.SPADES])
self.assertEqual(4, dd_score.scores[Direction.NORTH][BiddingSuit.NO_TRUMP])
self.assertEqual(4, dd_score.scores[Direction.SOUTH][BiddingSuit.CLUBS])
self.assertEqual(6, dd_score.scores[Direction.SOUTH][BiddingSuit.DIAMONDS])
self.assertEqual(5, dd_score.scores[Direction.SOUTH][BiddingSuit.HEARTS])
self.assertEqual(6, dd_score.scores[Direction.SOUTH][BiddingSuit.SPADES])
self.assertEqual(4, dd_score.scores[Direction.SOUTH][BiddingSuit.NO_TRUMP])
self.assertEqual(8, dd_score.scores[Direction.EAST][BiddingSuit.CLUBS])
self.assertEqual(6, dd_score.scores[Direction.EAST][BiddingSuit.DIAMONDS])
self.assertEqual(8, dd_score.scores[Direction.EAST][BiddingSuit.HEARTS])
self.assertEqual(7, dd_score.scores[Direction.EAST][BiddingSuit.SPADES])
self.assertEqual(9, dd_score.scores[Direction.EAST][BiddingSuit.NO_TRUMP])
self.assertEqual(8, dd_score.scores[Direction.WEST][BiddingSuit.CLUBS])
self.assertEqual(6, dd_score.scores[Direction.WEST][BiddingSuit.DIAMONDS])
self.assertEqual(6, dd_score.scores[Direction.WEST][BiddingSuit.HEARTS])
self.assertEqual(7, dd_score.scores[Direction.WEST][BiddingSuit.SPADES])
self.assertEqual(8, dd_score.scores[Direction.WEST][BiddingSuit.NO_TRUMP])
| 59.030303
| 100
| 0.748973
| 247
| 1,948
| 5.785425
| 0.210526
| 0.102869
| 0.181945
| 0.307908
| 0.802659
| 0.797761
| 0.741078
| 0.741078
| 0.741078
| 0.078376
| 0
| 0.019389
| 0.126283
| 1,948
| 32
| 101
| 60.875
| 0.820212
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| false
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| null | 0
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| 1
| 1
| 1
| 1
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| 1
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| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2f7510828e4f9224ff0cf2fe0f9d104939d89d96
| 20,794
|
py
|
Python
|
main_window.py
|
MarshallBriggs/ATS_Python_Procedure
|
ce5e7e5c54b4140deb7c800bf1213bcfa2918839
|
[
"MIT"
] | null | null | null |
main_window.py
|
MarshallBriggs/ATS_Python_Procedure
|
ce5e7e5c54b4140deb7c800bf1213bcfa2918839
|
[
"MIT"
] | null | null | null |
main_window.py
|
MarshallBriggs/ATS_Python_Procedure
|
ce5e7e5c54b4140deb7c800bf1213bcfa2918839
|
[
"MIT"
] | null | null | null |
from PySide2.QtCore import QRect, Slot, qApp, QDir
from PySide2.QtWidgets import QMainWindow, QAction, QFileDialog, QInputDialog, QLineEdit, QMessageBox
import os
import pandas as pd
import xlsxwriter
import numpy as np
# Import scikit-learn for machine learning
from sklearn.svm import LinearSVC
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import Pipeline
from sklearn import metrics
class MainWindow(QMainWindow):
# Build a vectorizer that splits strings into sequence of 1 to 3
# characters instead of word tokens
vectorizer = TfidfVectorizer(ngram_range=(1, 3), analyzer='char', use_idf=True)
pipeline = Pipeline([
('vect', vectorizer),
('clf', LinearSVC()),
])
def __init__(self):
QMainWindow.__init__(self)
self.setWindowTitle("ATS Assistant")
# Menu
self.menu = self.menuBar()
self.file_menu = self.menu.addMenu("File")
## Exit QAction
exit_action = QAction("Exit", self)
exit_action.setShortcut("Ctrl+Q")
exit_action.triggered.connect(self.exit_app)
## Select File QAction
open_action = QAction("Open Drop", self)
open_action.setShortcut("Ctrl+O")
open_action.triggered.connect(self.openDrop)
self.file_menu.addAction(open_action)
self.file_menu.addAction(exit_action)
# Status Bar
self.status = self.statusBar()
self.status.showMessage("Data loaded and plotted")
# Window dimensions
geometry = qApp.desktop().availableGeometry(self)
self.setFixedSize(geometry.width() * 0.8, geometry.height() * 0.7)
def openDrop(self):
options = QFileDialog.Options()
# options |= QFileDialog.DontUseNativeDialog
fileName = QFileDialog.getOpenFileName(self, self.tr("Open Drop"), "", self.tr("All Files (*);;Excel Files (*.xlsx)"), options=options)
if fileName:
self.mail_drop_file = os.path.basename(fileName[0])
self.file_name = os.path.splitext(self.mail_drop_file)[0]
self.file_ext = os.path.splitext(self.mail_drop_file)[1]
print(self.file_ext)
if self.file_ext == ".xlsx":
self.initMachineLearning()
def initMachineLearning(self):
# Hardcode data for machine learning (Maybe read from internet?)
data = [
['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Plaintiff', 'Creditor'], ['Filing NUMBER', 'Filingnum'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Respond by', 'Respondby'], ['Number', 'Phone'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Plaintiff', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Number', 'Phone'], ['Respond by', 'Respondby'], ['Filing Number', 'Filingnum'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['S', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Filingnum', 'Filingnum'], ['Phone', 'Phone'], ['respond by', 'Respondby'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Filingnum', 'Filingnum'], ['Phone', 'Phone'], ['Respondby', 'Respondby'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Filingnum', 'Filingnum'], ['Phone', 'Phone'], ['RespondBy', 'Respondby'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone', 'Phone'], ['Filingnum', 'Filingnum'], ['Respondby', 'Respondby'], ['First', 'First'], ['Last', 'Last'], ['Address', 'Address'], ['CITY', 'City'], ['ST', 'St'], ['ZIP', 'Zip'], ['LienTYPE', 'Lientype'], ['CREDITOR', 'Creditor'], ['AMOUNTT', 'Amount'], ['Filingnum', 'Filingnum'], ['FILEDATE', 'Filingdate'], ['respondby', 'Respondby'], ['Phone', 'Phone'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['respondby', 'Respondby'], ['Phone', 'Phone'], ['Filingnum', 'Filingnum'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Filingnum', 'Filingnum'], ['Phone', 'Phone'], ['Respondby', 'Respondby'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['Ste', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Phone', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone', 'Phone'], ['Filingnum', 'Filingnum'], ['Respondby', 'Respondby'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Number', 'Phone'], ['Respond by', 'Respondby'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['number', 'Phone'], ['respond by', 'Respondby'], ['First Name', 'First'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Number', 'Phone'], ['Respond By ', 'Respondby'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Respond by', 'Respondby'], ['First Name', 'First'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Phone Number', 'Phone'], ['Respond By', 'Respondby'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['number', 'Phone'], ['respond by', 'Respondby'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Respond by ', 'Respondby'], ['Number', 'Phone'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['respond by', 'Respondby'], ['Number', 'Phone'], ['First Name', 'First'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['number', 'Phone'], ['respond by', 'Respondby'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['number', 'Phone'], ['Respond by', 'Respondby'], ['First Name', 'First'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['respond by', 'Respondby'], ['Number', 'Phone'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Respond by', 'Respondby'], ['Number', 'Phone'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['respond by', 'Respondby'], ['Number', 'Phone'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Respond by', 'Respondby'], ['Number ', 'Phone'], ['First Name', 'First'], ['Last Name', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['respond by ', 'Respondby'], ['Number', 'Phone'], ['10% amount', 'M_10amount'], ['15% amount', 'M_15amount'], ['10 amount', 'M_10amount'], ['15 amount', 'M_15amount'], ['10%amount', 'M_10amount'], ['15%amount', 'M_15amount'], ['10amount', 'M_10amount'], ['15amount', 'M_15amount'], ['10% amountt', 'M_10amount'], ['15% amountt', 'M_15amount'], ['total', 'totalamount'], ['ttotal', 'totalamount'], ['First ', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone', 'Phone'], ['Filingnum', 'Filingnum'], ['Respondby', 'Respondby'], ['First', 'First'], ['Last ', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['phone ', 'Phone'], ['respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['respondby ', 'Respondby'], ['phone', 'Phone'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 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'Filingdate'], ['Amount', 'Amount'], ['10% amount', 'M_10amount'], ['15% amount', 'M_15amount'], ['Total', 'totalamount'], ['Phone', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['10% amount', 'M_10amount'], ['15% amount', 'M_15amount'], ['total', 'totalamount'], ['Phone', 'Phone'], ['Respond by', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['number', 'Phone'], ['respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['respondby ', 'Respondby'], ['Phone', 'Phone'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First Name', 'First'], ['Full Name', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['State ', 'St'], ['Zip+4', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone', 'Phone'], ['Respond By', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone ', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['respond by', 'Respondby'], ['Phone', 'Phone'], ['Filingnum', 'Filingnum'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['Filingnum', 'Filingnum'], ['Phone', 'Phone'], ['Respondby', 'Respondby'], ['First', 'First'], ['Last', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St ', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['LienType', 'Lientype'], ['Creditor ', 'Creditor'], ['FilingDate', 'Filingdate'], ['Amount', 'Amount'], ['Phone', 'Phone'], ['Respondby', 'Respondby'], ['Filingnum', 'Filingnum'], ['First ', 'First'], ['Last ', 'Last'], ['FullName', 'Fullname'], ['Address', 'Address'], ['City', 'City'], ['St', 'St'], ['Zip', 'Zip'], ['County', 'County'], ['Lien Type', 'Lientype'], ['Creditor ', 'Creditor'], ['Filing Date', 'Filingdate'], ['Amount', 'Amount'], ['respondby', 'Respondby'], ['phone', 'Phone'], ['Filingnum', 'Filingnum']
]
training_df = pd.DataFrame(data, columns = ['Given_Header', 'Adjusted_Header'])
X = training_df['Given_Header']
y = training_df['Adjusted_Header']
if y.isnull().any():
print("Some fields are missing in the training file.")
exit()
# Fit pipeline to training data
self.pipeline.fit(X, y)
self.getMailDate()
def getMailDate(self):
self.mail_date_input, ok = QInputDialog().getText(self, "Mail Date",
"Enter the mailing date of this job(format is \"Month Day Year\" with no comma after day)", QLineEdit.Normal,
self.mail_drop_file)
if ok:
if self.mail_date_input:
# textLabel.setText(text)
print(self.mail_date_input)
else:
if self.alert("Alert", "Please re-enter the Mail Date") == "ok":
self.getMailDate()
# print("Alert was ok")
else:
print("User cancelled import")
# msg = self.alert()
# msg.open()
def alert(self, title, content):
buttonReply = QMessageBox.question(self, title, content, QMessageBox.Ok | QMessageBox.Cancel, QMessageBox.Cancel)
# print(int(buttonReply))
if buttonReply == QMessageBox.Ok:
# print('Ok clicked.')
return "ok"
if buttonReply == QMessageBox.Cancel:
# print('Cancel')
return "cancel"
@Slot()
def exit_app(self, checked):
sys.exit()
| 190.770642
| 16,685
| 0.563672
| 2,045
| 20,794
| 5.700734
| 0.108557
| 0.058844
| 0.075656
| 0.092469
| 0.777749
| 0.776977
| 0.776205
| 0.771059
| 0.768314
| 0.757248
| 0
| 0.00486
| 0.139175
| 20,794
| 109
| 16,686
| 190.770642
| 0.646425
| 0.022939
| 0
| 0.052632
| 0
| 0
| 0.489524
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.078947
| false
| 0
| 0.144737
| 0
| 0.289474
| 0.052632
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c802a1c492b838b79684c1df6f2a5c0cfe59adac
| 36
|
py
|
Python
|
remote/vars.py
|
noahhaworth/Robots
|
f8e2c961746469818c1135c58e2a5fe282e9288a
|
[
"CC0-1.0"
] | null | null | null |
remote/vars.py
|
noahhaworth/Robots
|
f8e2c961746469818c1135c58e2a5fe282e9288a
|
[
"CC0-1.0"
] | null | null | null |
remote/vars.py
|
noahhaworth/Robots
|
f8e2c961746469818c1135c58e2a5fe282e9288a
|
[
"CC0-1.0"
] | null | null | null |
#vars.py
X0=0
X1=0
X2=0
X3=0
#M=1
| 4
| 8
| 0.555556
| 12
| 36
| 1.666667
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.321429
| 0.222222
| 36
| 8
| 9
| 4.5
| 0.392857
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c804c2bcc19d6da33baee105090f82e63eca6d36
| 151
|
py
|
Python
|
tests/test_combustion/test_nn/test_loss/conftest.py
|
TidalPaladin/combustion
|
69b9a2b9baf90b81ed9098b4f0391f5c15efaee7
|
[
"Apache-2.0"
] | 3
|
2020-07-09T22:18:19.000Z
|
2021-11-08T03:47:19.000Z
|
tests/test_combustion/test_nn/test_loss/conftest.py
|
TidalPaladin/combustion
|
69b9a2b9baf90b81ed9098b4f0391f5c15efaee7
|
[
"Apache-2.0"
] | 15
|
2020-06-12T21:48:59.000Z
|
2022-02-05T18:41:50.000Z
|
tests/test_combustion/test_nn/test_loss/conftest.py
|
TidalPaladin/combustion
|
69b9a2b9baf90b81ed9098b4f0391f5c15efaee7
|
[
"Apache-2.0"
] | 1
|
2021-02-15T20:06:16.000Z
|
2021-02-15T20:06:16.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
@pytest.fixture(scope="session")
def kornia():
return pytest.importorskip("kornia")
| 15.1
| 40
| 0.668874
| 19
| 151
| 5.315789
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007692
| 0.139073
| 151
| 9
| 41
| 16.777778
| 0.769231
| 0.278146
| 0
| 0
| 0
| 0
| 0.121495
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.5
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
23a4b57e29a7962a074f3b8e32c32fb67255693f
| 16,969
|
py
|
Python
|
DebloaterX v1.0/source/Debloater.py
|
shashankx86/Debloater
|
efc2ee190e1902348057e6c214868c10085fbf26
|
[
"MIT"
] | 2
|
2021-07-28T05:55:38.000Z
|
2021-08-15T04:58:19.000Z
|
DebloaterX v1.0/source/Debloater.py
|
shashankx86/DebloaterX
|
efc2ee190e1902348057e6c214868c10085fbf26
|
[
"MIT"
] | null | null | null |
DebloaterX v1.0/source/Debloater.py
|
shashankx86/DebloaterX
|
efc2ee190e1902348057e6c214868c10085fbf26
|
[
"MIT"
] | null | null | null |
import os
import time
import colorama
from colorama import Back, Fore, Style
os.system("title = DebloaterX Made by @shashankx86")
colorama.init(autoreset=True)
os.system("@echo off")
print(Fore.CYAN + "Debloater Script for NON ROOTED Users")
print(Fore.CYAN + "Build by"+ Fore.RED +" @shashankx86\n")
while True:
print(Fore.CYAN +"[Mode Menu] Select Mode to continue : \n" + Fore.RED + "1. Auto\n"+ Fore.RED +"2. Quit\n"+ Fore.RED +"3. clear\n"+ Fore.RED +"4. Manual[disable]\n"+ Fore.RED +"5. Manual[uninstall]")
starto = input(Fore.CYAN + ">>> ")
start = (starto.lower())
if start == "1":
print(Fore.CYAN + "[+]" + Fore.GREEN + "Starting....")
break
elif start == "2":
print(Fore.CYAN + "[+]" + Fore.RED + "Quiting....")
quit()
elif start == "3":
os.system("cls")
continue
elif start == "4":
while True:
print(Fore.CYAN + "[+] " + Fore.GREEN + "Manual Mode[disable]")
print(Fore.CYAN + "[S] " + Fore.GREEN + "Santax : <service/app name> [ Ex: com.facebook.services ] / help / clear")
mulmo1 = input(Fore.CYAN + ">> ")
mulm = (mulmo1.lower())
if mulm == "help":
print(Fore.CYAN + "[H] " +Fore.GREEN + "1. = Mode Menu")
print(Fore.CYAN + "[H] " +Fore.GREEN + "2. = Quit")
print(Fore.CYAN + "[H] " +Fore.GREEN + "3. = Clear\n")
continue
elif mulm == "2":
quit()
elif mulm == "3":
os.system("cls")
continue
elif mulm == "1":
print(Fore.CYAN + "[+]" +Fore.GREEN + "Mode Menu\n")
break
else:
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 " + mulmo1)
pass
elif start == "5":
while True:
print(Fore.CYAN + "[+] " + Fore.GREEN + "Manual Mode[uninstall]")
print(Fore.CYAN + "[S] " + Fore.GREEN + "Santax : <service/app name> [ Ex: com.facebook.services ] / help / clear")
mulmo2 = input(Fore.CYAN + ">> ")
mulm = (mulmo2.lower())
if mulm == "help":
print(Fore.CYAN + "[H] " +Fore.GREEN + "1. = Mode Menu")
print(Fore.CYAN + "[H] " +Fore.GREEN + "2. = Quit")
print(Fore.CYAN + "[H] " +Fore.GREEN + "3. = Clear\n")
continue
elif mulm == "2":
quit()
elif mulm == "3":
os.system("cls")
continue
elif mulm == "1":
print(Fore.CYAN + "[+]" +Fore.GREEN + "Mode Menu")
break
else:
os.system("powershell.exe res/adb.exe shell pm uninstall -k " + mulmo2)
pass
else:
print(Fore.RED + "Invalid Input: " + start)
continue
os.system("powershell.exe res/adb.exe kill-server")
os.system("powershell.exe res/adb.exe devices")
os.system("timeout /t 5 /nobreak > nul")
os.system("@echo off")
print(Fore.RED + "Note : it will show you error if you dont have that app installed, so ignore it\n")
os.system("timeout /t 5 /nobreak > nul")
print("######################################################")
print("# To uninstall user apps : pm uninstall -k --user 0 #")
print("# To disable them : pm disable-user --user 0 #")
print("######################################################")
print(Fore.RED + "Removing below services/apps")
print (Fore.CYAN + "Facebook apps")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.services")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.katana")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.system")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.appmanager")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.vanced.android.youtube")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.system")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.appmanager")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facemoji.lite.xiaomi")
os.system("powershell.exe res/adb.exe shell pm uninstall –k ––user 0 com.facebook.appmanager")
os.system("powershell.exe res/adb.exe shell pm uninstall –k ––user 0 com.facebook.services")
os.system("powershell.exe res/adb.exe shell pm uninstall –k ––user 0 com.facebook.system")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.app.DataCreate")
os.system("timeout /t 2 /nobreak > nul")
print (Fore.CYAN + "Google apps")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.android.chrome ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.youtube ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.tts ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.googlequicksearchbox ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.apps.tachyon ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.apps.docs ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.gm ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.videos ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.music ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.tts ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.apps.maps ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.apps.photos ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.android.youtube ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.google.ar.lens ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.google.ar.lens ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.google.android.youtube ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.google.android.gm ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.google.android.googlequicksearchbox ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.google.android.apps.maps ")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Microsoft apps")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.microsoft.office.powerpoint ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.microsoft.office.excel ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.microsoft.office.word ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.microsoft.skydrive ")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Linkedin Apps")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.linkedin.android ")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Samsung Apps")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.app.sbrowser ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.email.provider ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.app.voicenote ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.beaconmanage")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.dynamiclock ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.dynsystem ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.app.samsungapps ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.game.gameho ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.game.gametool ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.service.health")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.icecone ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.keyguardmgsup ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.sprotect ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.securefolder ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.app.camera.sticker.facear.preload ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.themecenter ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.themestore ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sec.android.app.sbrowser.lite ")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Bixby apps")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.samsung.android.bixby.wakeup ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.samsung.android.bixby.service ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.samsung.android.visionintelligence ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.samsung.android.bixby.agent ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.samsung.android.bixby.agent.dummy ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.samsung.android.bixbyvision.framework ")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Realme apps, ignore if u dont have redmi device and wait")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.coloros.compass2")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.heytap.market ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.redteamobile.roaming ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.heytap.market ")
os.system("powershell.exe res/adb.exe shell pm disable–user ––user 0 com.heytap.market ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.heytap.browser ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.heytap.market ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.redteamobile.roaming ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.heytap.usercenter ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.heytap.cloud ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.oppo.quicksearchbox ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.coloros.backuprestore ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.coloros.weather2 ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k --user 0 com.coloros.weather.service ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.nearme.gamecenter ")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Redmi-apps, ignore if u dont have redmi device and wait")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.cleanmaster ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.mipicks ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.payment ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.mipay.wallet.in ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.midrop ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.miservice ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.daemon ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.msa.global ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.mi.webkit.core ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.joyose ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.services")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.appmanager ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.facebook.system ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.analytics ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.android.fashiongallery ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.midrop ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.android.browser ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.android.calendar ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.bugreport")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.glgm ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.yellowpage ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.weather2")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.miservice ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.player ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.mipay.wallet.id ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.mipay.wallet.in ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.payment ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.hybrid ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.hybrid.accessory ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.videoplayer ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.mipicks ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.translation.kingsoft ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.translation.youdao ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.translation.xmcloud ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.translationservice ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k cn.wps.xiaomi.abroad.lite ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.wps.xiaomi.abroad.lite ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.mirecycle ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xunmeng.pinduoduo ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.midrop ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.tencent.mtt ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.eg.android.alipayGphone ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.dragon.read ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.taobao.taobao ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.tencent.qqlive ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.qiyi.video ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.ss.android.article.news ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.wps.moffice_eng ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.sina.weibo ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.jr ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.ss.android.ugc.aweme ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.baidu.BaiduMap ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.youpin ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.duokan.reader")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.xiaomi.vipaccount ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.mipay.wallet ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.miservice ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.android.email ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k com.miui.global.packageinstaller ")
os.system("powershell.exe res/adb.exe shell pm uninstall -k android.autoinstalls.config.Xiaomi.ginkgo ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.xiaomi.mipicks ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.mipay.wallet.in ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.xiaomi.midrop ")
os.system("powershell.exe res/adb.exe shell pm disable-user --user 0 com.miui.miservice")
os.system("timeout /t 2 /nobreak > nul ")
print (Fore.CYAN + "Exiting script, Now reboot/restart and enjoy debloated Device")
os.system("powershell.exe res/adb.exe kill-server")
time.sleep(5)
| 63.554307
| 205
| 0.696329
| 2,651
| 16,969
| 4.461335
| 0.100339
| 0.108227
| 0.21916
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| 0.849666
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| 16,969
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| false
| 0.012605
| 0.016807
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| 0.016807
| 0.138655
| 0
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| null | 0
| 1
| 1
| 1
| 1
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| 1
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0
| 10
|
23fe8e0404af1b03aa438c6bdb91f62e155da59d
| 16,878
|
py
|
Python
|
conv_gp_funcs.py
|
ciiram/PyPol_II
|
50cf1d9f7a33d26f9d09a0fb90bb9bf9d2eee60a
|
[
"BSD-3-Clause"
] | 2
|
2017-09-29T07:27:20.000Z
|
2019-12-11T14:56:31.000Z
|
conv_gp_funcs.py
|
ciiram/PyPol_II
|
50cf1d9f7a33d26f9d09a0fb90bb9bf9d2eee60a
|
[
"BSD-3-Clause"
] | null | null | null |
conv_gp_funcs.py
|
ciiram/PyPol_II
|
50cf1d9f7a33d26f9d09a0fb90bb9bf9d2eee60a
|
[
"BSD-3-Clause"
] | null | null | null |
# This file contains a number of useful function definitions for implementing the
# convolved Gaussian process framework for RNA pol-II dynamics
#
# Ciira wa Maina, 2013
# Dedan Kimathi University of Technology.
# Nyeri-Kenya
import pylab as pb
import numpy as np
import scipy as sp
from scipy import integrate
from scipy import special
from scipy.optimize import fmin_tnc
import scipy.linalg
import sys
def rbf(t1,t2,sigma,l):
'''
rbf kernel
'''
t3= t1[:,None]-t2[None,:]
return sigma*sigma*np.exp(-(1/(2.0*l*l))*t3*t3)
def computeGaussian(tau,sigma):
'''
Smoothing kernel
'''
return (1.0/(np.sqrt(2*np.pi)*sigma))*np.exp(-tau*tau*(1.0/(2.0*sigma*sigma)))
def cov_yiyi(t1,t2,Di,sigma_rbf,l_rbf,l_kern):
'''
Covariance of gene segments profiles
Input:
Di are the delays
sigma_rbf,l_rbf are the latent function parameters
li variances of the convolution kernel
'''
K=np.zeros((len(t1),len(t2)))
for x in range(0,len(t1)):
for y in range(0,len(t2)):
K[x,y]=np.sqrt(2*np.pi)*sigma_rbf*sigma_rbf*l_rbf*computeGaussian(t2[y]-t1[x],np.sqrt(l_rbf*l_rbf+2*l_kern*l_kern))
return K
def cov_yiyj(t1,t2,Di,Dj,sigma_rbf,l_rbf,li,lj):
'''
Covariance of gene segments profiles
Input:
Di,Dj are the delays
sigma_rbf,l_rbf are the latent function parameters
li,lj variances of the convolution kernel
'''
K=np.zeros((len(t1),len(t2)))
for x in range(0,len(t1)):
for y in range(0,len(t2)):
K[x,y]=np.sqrt(2*np.pi)*sigma_rbf*sigma_rbf*l_rbf*computeGaussian(t2[y]-t1[x]+Di-Dj,np.sqrt(l_rbf*l_rbf+li*li+lj*lj))
return K
def cov_yiLat(t1,t2,Di,sigma_rbf,l_rbf,li):
'''
Covariance of gene segments profiles and latent function
Input:
Di,Dj are the delays
sigma_rbf,l_rbf are the latent function parameters
li,lj variances of the convolution kernel
'''
K=np.zeros((len(t1),len(t2)))
for x in range(0,len(t1)):
for y in range(0,len(t2)):
K[x,y]=np.sqrt(2*np.pi)*sigma_rbf*sigma_rbf*l_rbf*computeGaussian(t2[y]-t1[x]-Di,np.sqrt(l_rbf*l_rbf+li*li))
return K
def genCov(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg):
'''
Covariance of gene segments profiles and latent function
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))#assume len(t)= len(t1)
for i in range(0,num_seg):
for j in range(i,num_seg):
if i==j:
K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)]=alpha[i]*alpha[i]*cov_yiyi(t,t,D[i],sigma_rbf,l_rbf,l[i])+noise_std[i]*noise_std[i]*np.eye(t.size)
else:
K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)]=alpha[i]*alpha[j]*cov_yiyj(t,t,D[i],D[j],sigma_rbf,l_rbf,l[i],l[j])
if i!=j:
K[j*len(t):(j+1)*len(t),i*len(t):(i+1)*len(t)]=K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)].T
return K
def genCov_sigma_f(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg):
'''
Gradient of Covariance w.r.t sigma_f
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))
for i in range(0,num_seg):
for j in range(i,num_seg):
if i==j:
K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)]=2.0*(1.0/sigma_rbf)*alpha[i]*alpha[i]*cov_yiyi(t,t,D[i],sigma_rbf,l_rbf,l[i])
else:
K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)]=2.0*(1.0/sigma_rbf)*alpha[i]*alpha[j]*cov_yiyj(t,t,D[i],D[j],sigma_rbf,l_rbf,l[i],l[j])
if i!=j:
K[j*len(t):(j+1)*len(t),i*len(t):(i+1)*len(t)]=K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)].T
return K
def genCov_l_f(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg):
'''
Gradient of Covariance w.r.t l_f
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))#assume len(t)= len(t1)
T_d=-(t[:,None]-t[None,:])
for i in range(0,num_seg):
for j in range(i,num_seg):
if i==j:
K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)]=alpha[i]*alpha[i]*(1.0/l_rbf)*((l[i]*l[i]+l[j]*l[j])/(l_rbf*l_rbf+l[i]*l[i]+l[j]*l[j]))*cov_yiyi(t,t,D[i],sigma_rbf,l_rbf,l[i])+alpha[i]*alpha[i]*((l_rbf)/np.square(l_rbf*l_rbf+l[i]*l[i]+l[j]*l[j]))*cov_yiyi(t,t,D[i],sigma_rbf,l_rbf,l[i])*(T_d+D[i]-D[j])*(T_d+D[i]-D[j])
else:
K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)]=alpha[i]*alpha[j]*(1.0/l_rbf)*((l[i]*l[i]+l[j]*l[j])/(l_rbf*l_rbf+l[i]*l[i]+l[j]*l[j]))*cov_yiyj(t,t,D[i],D[j],sigma_rbf,l_rbf,l[i],l[j])+alpha[i]*alpha[j]*cov_yiyj(t,t,D[i],D[j],sigma_rbf,l_rbf,l[i],l[j])*((l_rbf)/np.square(l_rbf*l_rbf+l[i]*l[i]+l[j]*l[j]))*(T_d+D[i]-D[j])*(T_d+D[i]-D[j])
if i!=j:
K[j*len(t):(j+1)*len(t),i*len(t):(i+1)*len(t)]=K[i*len(t):(i+1)*len(t),j*len(t):(j+1)*len(t)].T
return K
def genCov_alpha_i(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,seg):
'''
Gradient of Covariance w.r.t alpha_i
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))
for j in range(0,num_seg):
if seg==j:
K[seg*len(t):(seg+1)*len(t),j*len(t):(j+1)*len(t)]=alpha[seg]*cov_yiyi(t,t,D[seg],sigma_rbf,l_rbf,l[seg])
else:
K[seg*len(t):(seg+1)*len(t),j*len(t):(j+1)*len(t)]=alpha[j]*cov_yiyj(t,t,D[seg],D[j],sigma_rbf,l_rbf,l[seg],l[j])
return K+K.T
def genCov_D(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,seg):
'''
Gradient of Covariance w.r.t D_i
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))
T_d=-(t[:,None]-t[None,:])
for j in range(0,num_seg):
if seg==j:
K[seg*len(t):(seg+1)*len(t),j*len(t):(j+1)*len(t)]=np.zeros((len(t),len(t)))
else:
K[seg*len(t):(seg+1)*len(t),j*len(t):(j+1)*len(t)]=-alpha[seg]*alpha[j]*cov_yiyj(t,t,D[seg],D[j],sigma_rbf,l_rbf,l[seg],l[j])*(1.0/(l_rbf*l_rbf+l[seg]*l[seg]+l[j]*l[j]))*(T_d+D[seg]-D[j])
K[j*len(t):(j+1)*len(t),seg*len(t):(seg+1)*len(t)]=alpha[seg]*alpha[j]*cov_yiyj(t,t,D[j],D[seg],sigma_rbf,l_rbf,l[j],l[seg])*(1.0/(l_rbf*l_rbf+l[seg]*l[seg]+l[j]*l[j]))*(T_d-D[seg]+D[j])
return K
def genCov_l_i(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,seg):
'''
Gradient of Covariance w.r.t l_i
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))
T_d=-(t[:,None]-t[None,:])
for j in range(0,num_seg):
K[seg*len(t):(seg+1)*len(t),j*len(t):(j+1)*len(t)]=-alpha[seg]*alpha[j]*l[seg]*((1.0)/(l_rbf*l_rbf+l[seg]*l[seg]+l[j]*l[j]))*cov_yiyj(t,t,D[seg],D[j],sigma_rbf,l_rbf,l[seg],l[j])+alpha[seg]*alpha[j]*cov_yiyj(t,t,D[seg],D[j],sigma_rbf,l_rbf,l[seg],l[j])*((l[seg])/np.square(l_rbf*l_rbf+l[seg]*l[seg]+l[j]*l[j]))*(T_d+D[seg]-D[j])*(T_d+D[seg]-D[j])
return K+K.T
def genCov_sigma_i(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,seg):
'''
Gradient of Covariance w.r.t sigma_i
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))
T_d=-(t[:,None]-t[None,:])
K[seg*len(t):(seg+1)*len(t),seg*len(t):(seg+1)*len(t)]=2.0*noise_std[seg]*np.eye(len(t))
return K
def genCov_sigma(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg):
'''
Gradient of Covariance w.r.t sigma_i
Input:
D: are the delays
sigma_rbf,l_rbf are the latent function parameters
l: variances of the convolution kernel
noise_std: noise variances
'''
K=np.zeros((num_seg*len(t),num_seg*len(t)))
T_d=-(t[:,None]-t[None,:])
for i in range(0,num_seg):
K[i*len(t):(i+1)*len(t),i*len(t):(i+1)*len(t)]=2.0*noise_std*np.eye(len(t))
return K
def loglik_tied_fsf(params,t,Y,num_seg,trans,a,b,diag):
'''
Implementation of the model loglikelihood with
the scale factor of the Latent GP fixed at 1 and
all noise variance tied to a fixed value.
'''
if trans==1:
params=paramInvTrans(params,a,b)
#unpack parameters
sigma_rbf=1.0
l_rbf=params[0]
ind=1
alpha=params[ind:ind+num_seg]
#initilize Delay
ind=ind+num_seg
D=np.zeros(num_seg)
D[1:num_seg]=params[ind:ind+num_seg-1]
D[0]=0.0
ind=ind+num_seg-1
l=params[ind:ind+num_seg]
#initilize noise
ind=ind+num_seg
noise_std1=params[ind:len(params)]
noise_std=np.ones(num_seg)*noise_std1
Cov=genCov(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg)
if diag:
Cov=blk_diag(Cov,num_seg,len(t))
try:
L=np.linalg.cholesky(Cov)
except np.linalg.LinAlgError:
return -np.inf
alpha=sp.linalg.cho_solve((L,1),Y)
ll=-0.5*np.dot(Y[None,:],alpha[:,None])[0,0]-np.sum(np.log(np.diag(L)))-0.5*Y.size*np.log(2*np.pi)
return -ll
def grad_loglik_tied_fsf(params,t,Y,num_seg,trans,a,b,diag):
'''
Implementation of the gradient of the model loglikelihood with
the scale factor of the Latent GP fixed at 1 and
all noise variance tied to a fixed value.
'''
grad=np.zeros(len(params))
if trans==1:
params=paramInvTrans(params,a,b)
#unpack parameters
sigma_rbf=1.0
l_rbf=params[0]
ind=1
alpha=params[ind:ind+num_seg]
#initilize Delay
ind=ind+num_seg
D=np.zeros(num_seg)
D[1:num_seg]=params[ind:ind+num_seg-1]
D[0]=0.0
#initilize l
ind=ind+num_seg-1
l=params[ind:ind+num_seg]
#initilize noise
ind=ind+num_seg
noise_std1=params[ind:len(params)]
noise_std=np.ones(num_seg)*noise_std1
Cov=genCov(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg)
if diag:
Cov=blk_diag(Cov,num_seg,len(t))
try:
L=np.linalg.cholesky(Cov)
invCov=np.linalg.inv(Cov)
except np.linalg.LinAlgError:
return -np.inf
alpha_cho=sp.linalg.cho_solve((L,1),Y)[:,None]
#latent function parameters
gK=genCov_l_f(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg)
if diag:
gK=blk_diag(gK,num_seg,len(t))
grad[0]=-0.5*np.dot(alpha_cho.T,np.dot(gK,alpha_cho))[0,0]+0.5*np.trace(np.dot(invCov,gK))
#alpha
ind=1
j=0
for i in range(ind,ind+num_seg):
gK=genCov_alpha_i(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,j)
if diag:
gK=blk_diag(gK,num_seg,len(t))
grad[i]=-0.5*np.dot(alpha_cho.T,np.dot(gK,alpha_cho))[0,0]+0.5*np.trace(np.dot(invCov,gK))
j+=1
#Delay
ind=ind+num_seg
j=1
for i in range(ind,ind+num_seg-1):
gK=genCov_D(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,j)
if diag:
gK=blk_diag(gK,num_seg,len(t))
grad[i]=-0.5*np.dot(alpha_cho.T,np.dot(gK,alpha_cho))[0,0]+0.5*np.trace(np.dot(invCov,gK))
j+=1
# l
ind=ind+num_seg-1
j=0
for i in range(ind,ind+num_seg):
gK=genCov_l_i(t,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg,j)
if diag:
gK=blk_diag(gK,num_seg,len(t))
grad[i]=-0.5*np.dot(alpha_cho.T,np.dot(gK,alpha_cho))[0,0]+0.5*np.trace(np.dot(invCov,gK))
j+=1
# noise
ind=ind+num_seg
gK=genCov_sigma(t,alpha,D,sigma_rbf,l_rbf,l,noise_std1,num_seg)
if diag:
gK=blk_diag(gK,num_seg,len(t))
grad[ind]=-0.5*np.dot(alpha_cho.T,np.dot(gK,alpha_cho))[0,0]+0.5*np.trace(np.dot(invCov,gK))
if trans==1:
return grad*gradTrans(paramTrans(params,a,b),a,b)
elif trans==0:
return grad
def pred_Cov_tied_fsf(t_obs,t_pred,Y,params,num_seg,seg,trans,a,b):
'''
This function computes the covariance function at the prediction
times for various gene segments.
This is useful in plotting the inferred pol-II occupancy.
'''
if trans==1:
params=paramInvTrans(params,a,b)
#unpack parameters
sigma_rbf=1.0
l_rbf=params[0]
ind=1
alpha=params[ind:ind+num_seg]
#initilize Delay
ind=ind+num_seg
D=np.zeros(num_seg)
D[1:num_seg]=params[ind:ind+num_seg-1]
D[0]=0.0
ind=ind+num_seg-1
l=params[ind:ind+num_seg]
#initilize noise
ind=ind+num_seg
noise_std1=params[ind:len(params)]
noise_std=np.ones(num_seg)*noise_std1
B=genCov(t_obs,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg)
A=alpha[seg]*alpha[seg]*cov_yiyi(t_pred,t_pred,D[seg],sigma_rbf,l_rbf,l[seg])+noise_std[seg]*noise_std[seg]*np.eye(t_pred.size)
C=np.zeros((t_pred.size,t_obs.size*num_seg))
CC=np.zeros((t_pred.size,t_obs.size))
for i in range(0,t_pred.size):
for j in range(0,t_obs.size):
if t_pred[i]==t_obs[j]:
CC[i,j]=1.0
for i in range(0,num_seg):
if i==seg:
C[0:len(t_pred),i*len(t_obs):(i+1)*len(t_obs)]=alpha[i]*alpha[seg]*cov_yiyj(t_pred,t_obs,D[seg],D[i],sigma_rbf,l_rbf,l[seg],l[i])+noise_std[seg]*noise_std[seg]*CC
else:
C[0:len(t_pred),i*len(t_obs):(i+1)*len(t_obs)]=alpha[i]*alpha[seg]*cov_yiyj(t_pred,t_obs,D[seg],D[i],sigma_rbf,l_rbf,l[seg],l[i])
mu=np.dot(C,np.dot(np.linalg.inv(B),Y[:,None]))
Cov=A-np.dot(C,np.dot(np.linalg.inv(B),C.T))+1e-8*np.eye(t_pred.size)
return {'Cov':Cov,'mu':mu}
def pred_Lat_tied_fsf(t_obs,t_pred,Y,params,num_seg,trans,a,b):
'''
This function computes the covariance function at the prediction
times for the latent function.
This is useful in plotting the latent function.
'''
if trans==1:
params=paramInvTrans(params,a,b)
#unpack parameters
sigma_rbf=1.0
l_rbf=params[0]
ind=1
alpha=params[ind:ind+num_seg]
#initilize Delay
ind=ind+num_seg
D=np.zeros(num_seg)
D[1:num_seg]=params[ind:ind+num_seg-1]
D[0]=0.0
ind=ind+num_seg-1
#initilize l
l=params[ind:ind+num_seg]
#initilize noise
ind=ind+num_seg
noise_std1=params[ind:len(params)]
noise_std=np.ones(num_seg)*noise_std1
B=genCov(t_obs,alpha,D,sigma_rbf,l_rbf,l,noise_std,num_seg)
A=rbf(t_pred,t_pred,sigma_rbf,l_rbf)
C=np.zeros((t_pred.size,t_obs.size*num_seg))
CC=np.zeros((t_pred.size,t_obs.size))
for i in range(0,t_pred.size):
for j in range(0,t_obs.size):
if t_pred[i]==t_obs[j]:
CC[i,j]=1.0
for i in range(0,num_seg):
C[0:len(t_pred),i*len(t_obs):(i+1)*len(t_obs)]=alpha[i]*cov_yiLat(t_pred,t_obs,D[i],sigma_rbf,l_rbf,l[i])
mu=np.dot(C,np.dot(np.linalg.inv(B),Y[:,None]))
Cov=A-np.dot(C,np.dot(np.linalg.inv(B),C.T))+1e-8*np.eye(t_pred.size)
return {'Cov':Cov,'mu':mu}
def paramTrans(x,a,b):
'''
The logit transform of the model parameters
'''
return np.log((x-a)/(b-x))
def paramInvTrans(x,a,b):
'''
The inverse logit transform of the model parameters
'''
return a+((b-a)/(1+np.exp(-x)))
def gradTrans(x,a,b):
'''
The gradient of the logit transformation
'''
return (((b-a)*np.exp(x))/np.square(1+np.exp(x)))
def init_param_tied_fsf(num_seg,trans,a,b,gene_len,per):
'''
This function is used to initialize the parameters at a sensible
location before optimization
'''
x=np.zeros(1+3*(num_seg))
lengths=np.array([10.0,20.0,30.0,40.0,80.0])
p=np.ones(len(lengths))*(1.0/len(lengths))
smin=500
smax=5000
lambda1=np.random.rand(1)[0]
D=((per*gene_len)/smax*lambda1+(per*gene_len)/smin*(1-lambda1))
x[0]=lengths[np.argmax(np.random.multinomial(1,p))]#l_f
#initialize alpha
ind=1
for i in range(ind,ind+num_seg):
x[i]=np.random.rand(1)[0]
#initilize Delay
ind=ind+num_seg
j=1
for i in range(ind,ind+num_seg-1):
x[i]=j*D
j+=1
ind=ind+num_seg-1
for i in range(ind,ind+num_seg):
x[i]=lengths[np.argmax(np.random.multinomial(1,p))]
#initialize noise
ind=ind+num_seg
for i in range(ind,len(x)):
x[i]=np.random.rand(1)[0]*100
if trans==1:
return paramTrans(x,a,b)
elif trans==0:
return x
def lowerbound_tied_fsf(num_seg,gene_len,per):
'''
These are the lower bounds of the parameters.
These bounds are passed to the optimization routine.
'''
smin=50
smax=50000
x=np.zeros(1+3*(num_seg))
x[0]=5.0#l_f
#initialize alpha
ind=1
for i in range(ind,ind+num_seg):
x[i]=0.0
#initilize Delay
ind=ind+num_seg
j=1
for i in range(ind,ind+num_seg-1):
x[i]=(j*per*gene_len)/smax
j+=1
#initilize l
ind=ind+num_seg-1
for i in range(ind,ind+num_seg):
x[i]=5.0
#initialize noise
ind=ind+num_seg
for i in range(ind,len(x)):
x[i]=0.0
return x
def upperbound_tied_fsf(num_seg,gene_len,per):
'''
These are the upper bounds of the parameters.
These bounds are passed to the optimization routine.
'''
smin=50
smax=50000
x=np.zeros(1+3*(num_seg))
x[0]=320.0#l_f
#initialize alpha
ind=1
for i in range(ind,ind+num_seg):
x[i]=100.0
#initilize Delay
ind=ind+num_seg
j=1
for i in range(ind,ind+num_seg-1):
x[i]=(j*per*gene_len)/smin
j+=1
#initilize l
ind=ind+num_seg-1
for i in range(ind,ind+num_seg):
x[i]=320.0
#initialize noise
ind=ind+num_seg
for i in range(ind,len(x)):
x[i]=100.0
return x
def blk_diag(Cov,num_blk,dim_blk):
'''
Useful to form the diagonal covariance matrix
'''
K=np.zeros((num_blk*dim_blk,num_blk*dim_blk))#assume len(t)= len(t1)
for i in range(0,num_blk):
K[i*dim_blk:(i+1)*dim_blk,i*dim_blk:(i+1)*dim_blk]=Cov[i*dim_blk:(i+1)*dim_blk,i*dim_blk:(i+1)*dim_blk]
return K
| 23.638655
| 348
| 0.672651
| 3,694
| 16,878
| 2.941527
| 0.060639
| 0.06847
| 0.04123
| 0.058531
| 0.854868
| 0.843457
| 0.825603
| 0.790263
| 0.773514
| 0.754003
| 0
| 0.024569
| 0.1246
| 16,878
| 713
| 349
| 23.671809
| 0.710863
| 0.221412
| 0
| 0.704268
| 0
| 0
| 0.00078
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.073171
| false
| 0
| 0.02439
| 0
| 0.182927
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9e790b41d67e3b79d268959431651479f543e943
| 37,289
|
py
|
Python
|
bot.py
|
GrishakV/Discord
|
475b83dbe434758e3601e25c998b35cee41243f7
|
[
"MIT"
] | null | null | null |
bot.py
|
GrishakV/Discord
|
475b83dbe434758e3601e25c998b35cee41243f7
|
[
"MIT"
] | null | null | null |
bot.py
|
GrishakV/Discord
|
475b83dbe434758e3601e25c998b35cee41243f7
|
[
"MIT"
] | null | null | null |
import discord
import math
client = discord.Client()
@client.event
async def on_ready():
print('We have logged in as {0.user}'.format(client))
await client.change_presence(status=discord.Status.online, activity=discord.Game('!!помощь/!!help developed \
by Hustle Castle RU'))
@client.event
async def on_message(message):
if message.author == client.user:
return
if message.content == '!!портал':
await message.channel.send(f'А шо считать?')
elif message.content.startswith('!!портал'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
if len(info) < 1 or info[0] is None:
await message.channel.send(f'Вы не указали уровень фарма, значение по умолчанию = 80')
lvl = 80
else:
lvl = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'Вы не указали необходимое количество душ, значение по умолчанию = 10000')
total_souls = 10000
else:
total_souls = info[1]
if len(info) < 3 or info[2] is None:
souls_has = 0
else:
souls_has = info[2]
if len(info) < 4 or info[3] is None:
banner_lvl = 0
else:
banner_lvl = info[3]
if len(info) < 5 or info[4] is None:
hunters_lvl = 0
else:
hunters_lvl = info[4]
if len(info) < 6 or info[5] is None:
factor_lvl = 0
else:
factor_lvl = info[5]
apples = {
1: 8300, 2: 8500, 3: 8800, 4: 9100, 5: 9400, 6: 9700, 7: 10000, 8: 10200, 9: 10500, 10: 10800, 11: 11100,
12: 11400, 13: 11700, 14: 11900, 15: 12200, 16: 12500, 17: 12900, 18: 13300, 19: 13700, 20: 14100,
21: 14500, 22: 14900, 23: 15300, 24: 15700, 25: 16100, 26: 16500, 27: 16900, 28: 17300, 29: 17700,
30: 18100, 31: 18500, 32: 18900, 33: 19400, 34: 19800, 35: 20200, 36: 20700, 37: 21100, 38: 21500,
39: 22000, 40: 22400, 41: 22800, 42: 23300, 43: 23700, 44: 24100, 45: 24600, 46: 25000, 47: 25800,
48: 26700, 49: 27500, 50: 28300, 51: 29200, 52: 30000, 53: 30800, 54: 31700, 55: 32500, 56: 33300,
57: 34200, 58: 35000, 59: 35800, 60: 36700, 61: 37500, 62: 38400, 63: 39300, 64: 40300, 65: 41200,
66: 42100, 67: 43000, 68: 43900, 69: 44900, 70: 45800, 71: 46700, 72: 47600, 73: 48600, 74: 49500,
75: 50400, 76: 51300, 77: 52200, 78: 53200, 79: 54100, 80: 55000, 81: 56000, 82: 56900, 83: 57800,
84: 58700, 85: 59700, 86: 60600, 87: 61500, 88: 62500, 89: 63400, 90: 64300, 91: 65300, 92: 66200,
93: 67100, 94: 68000, 95: 69900, 96: 69900, 97: 70800, 98: 71800, 99: 72700, 100: 73600, 101: 74600,
102: 75500, 103: 76400, 104: 77300, 105: 78300, 106: 79200, 107: 80100, 108: 81400, 109: 82000, 110: 82900,
111: 83900, 112: 84800, 113: 85700, 114: 86600, 115: 87600, 116: 88500, 117: 89400, 118: 90400, 119: 91300,
120: 92200, 121: 93200, 122: 94100, 123: 95000, 124: 95900, 125: 96900
}
souls = {
1: 10, 2: 11, 3: 13, 4: 14, 5: 15, 6: 17, 7: 18, 8: 19, 9: 21, 10: 22, 11: 23, 12: 25, 13: 26, 14: 27,
15: 29, 16: 30, 17: 32, 18: 34, 19: 36, 20: 38, 21: 40, 22: 42, 23: 44, 24: 46, 25: 48, 26: 50, 27: 52,
28: 54, 29: 56, 30: 58, 31: 60, 32: 64, 33: 68, 34: 72, 35: 76, 36: 80, 37: 84, 38: 88, 39: 92, 40: 96,
41: 100, 42: 104, 43: 108, 44: 112, 45: 116, 46: 120, 47: 128, 48: 136, 49: 144, 50: 152, 51: 160, 52: 168,
53: 176, 54: 184, 55: 192, 56: 200, 57: 208, 58: 216, 59: 224, 60: 232, 61: 240, 62: 254, 63: 267, 64: 281,
65: 295, 66: 308, 67: 322, 68: 336, 69: 349, 70: 363, 71: 377, 72: 391, 73: 404, 74: 418, 75: 432, 76: 445,
77: 459, 78: 473, 79: 486, 80: 500, 81: 518, 82: 519, 83: 528, 84: 538, 85: 547, 86: 557, 87: 567, 88: 578,
89: 586, 90: 596, 91: 605, 92: 615, 93: 625, 94: 635, 95: 645, 96: 654, 97: 664, 98: 674, 99: 684, 100: 695,
101: 705, 102: 715, 103: 725, 104: 735, 105: 745, 106: 756, 107: 766, 108: 776, 109: 787, 110: 797,
111: 808, 112: 818, 113: 829, 114: 840, 115: 850, 116: 861, 117: 872, 118: 882, 119: 893, 120: 904,
121: 915, 122: 926, 123: 937, 124: 948, 125: 959
}
hunters = {1: 0.04, 2: 0.05, 3: 0.05, 4: 0.07, 5: 0.07, 6: 0.09}
banner = {1: 0.05, 2: 0.07, 3: 0.09, 4: 0.11, 5: 0.13, 6: 0.15, 7: 0.20, 8: 0.25, 9: 0.30, 10: 0.37, 11: 0.44}
factor = {0: 0, 1: 0, 2: 1, 3: 2}
if lvl == 0:
apples = apples[0]
souls = souls[0]
else:
for i in apples:
if i == lvl:
apples = apples[i]
for j in souls:
if j == lvl:
souls = souls[j]
if banner_lvl == 0:
banner = 0
else:
for b in banner:
if b == banner_lvl:
banner = banner[b]
if hunters_lvl == 0:
hunters = 0
else:
for h in hunters:
if h == hunters_lvl:
hunters = hunters[h]
if factor_lvl == 0:
factor = 0
else:
for f in factor:
if f == factor_lvl:
factor = factor[f]
souls = souls + souls * factor + souls * hunters + souls * banner
tries = math.ceil((total_souls - souls_has) / souls)
apples *= tries
await message.channel.send(
f"Уровень фарма: {lvl}\n"
f"Текущее количество душ: {souls_has}\n"
f"Желаемое количество душ: {total_souls}\n"
f"Душ за уровень: {souls}\n"
f"Необходимо попыток: {tries}\n"
f"Необходимо яблок: {apples}"
)
if message.content == '!!добыча':
await message.channel.send(f'А шо считать?')
elif message.content.startswith('!!добыча'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
float_apple = info[0]
persent_buff = info[1]
cooking = round(((float_apple + float_apple * (persent_buff / 100)) * 24), 2)
await message.channel.send(f"Вы добываете {cooking} яблок в сутки")
if message.content == '!!уворот':
await message.channel.send(f'А шо считать?')
elif message.content.startswith('!!уворот'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
dodge = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'Вы не ввели уровни бойцов, значение по умолчанию = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_dodge = {
1: 4036, 2: 4359, 3: 4682, 4: 5004, 5: 5327, 6: 5650, 7: 5973, 8: 6296, 9: 6619, 10: 6942, 11: 7265,
12: 7587, 13: 7910, 14: 8233, 15: 8556, 16: 8879, 17: 9202, 18: 9525, 19: 9848, 20: 10170, 21: 10439,
22: 10846, 23: 11139, 24: 11462, 25: 11785, 26: 12108, 27: 12430, 28: 12753, 29: 13076, 30: 13399,
31: 13722, 32: 14045, 33: 14368, 34: 14691, 35: 15013, 36: 15336, 37: 15659, 38: 15982, 39: 16305,
40: 16628, 41: 16951, 42: 17274, 43: 17596, 44: 17919, 45: 18242, 46: 18565, 47: 18888, 48: 19211,
49: 19534, 50: 19857, 51: 20179, 52: 20502, 53: 20825, 54: 21148, 55: 21471, 56: 21794, 57: 22117,
58: 22439, 59: 22762, 60: 23085, 61: 23408, 62: 23731, 63: 24054, 64: 24377, 65: 24700, 66: 25022,
67: 25345, 68: 25668, 69: 25991, 70: 26314, 71: 26637, 72: 26960, 73: 27283, 74: 27605, 75: 27928,
76: 28251, 77: 28574, 78: 28897, 79: 29220, 80: 29543, 81: 29865, 82: 30188, 83: 30511, 84: 30834,
85: 31157, 86: 31480, 87: 31803, 88: 32126, 89: 32448, 90: 32771, 91: 33094, 92: 33417, 93: 33740,
94: 34063, 95: 34386, 96: 34709, 97: 35031, 98: 35354, 99: 35677, 100: 36000
}
hidden_crit = {
1: 3374, 2: 3644, 3: 3914, 4: 4184, 5: 4454, 6: 4724, 7: 4994, 8: 5264, 9: 5534, 10: 5804, 11: 6074,
12: 6344, 13: 6614, 14: 6884, 15: 7154, 16: 7424, 17: 7694, 18: 7964, 19: 8234, 20: 8504, 21: 8774,
22: 9043, 23: 9313, 24: 9583, 25: 9853, 26: 10123, 27: 10393, 28: 10663, 29: 10933, 30: 11203, 31: 11473,
32: 11743, 33: 12013, 34: 12283, 35: 12553, 36: 12823, 37: 13093, 38: 13363, 39: 13633, 40: 13903,
41: 14173, 42: 14443, 43: 14713, 44: 14983, 45: 15252, 46: 15522, 47: 15792, 48: 16062, 49: 16332,
50: 16602, 51: 16872, 52: 17142, 53: 17412, 54: 17682, 55: 17952, 56: 18222, 57: 18492, 58: 18762,
59: 19032, 60: 19302, 61: 19572, 62: 19842, 63: 20112, 64: 20382, 65: 20652, 66: 20922, 67: 21191,
68: 21461, 69: 21731, 70: 22001, 71: 22271, 72: 22541, 73: 22811, 74: 23081, 75: 23351, 76: 23621,
77: 23891, 78: 24161, 79: 24431, 80: 24701, 81: 24971, 82: 25241, 83: 25511, 84: 25781, 85: 26051,
86: 26321, 87: 26591, 88: 26861, 89: 27130, 90: 27400, 91: 27670, 92: 27940, 93: 28210, 94: 28480,
95: 28750, 96: 29020, 97: 29290, 98: 29560, 99: 29830, 100: 30100
}
for d in hidden_dodge:
if d == fighter_lvl:
fighter_dodge = hidden_dodge[d]
if d == enemy_lvl:
enemy_dodge = hidden_dodge[d]
for c in hidden_crit:
if c == fighter_lvl:
fighter_crit = hidden_crit[c]
if c == enemy_lvl:
enemy_crit = hidden_crit[c]
dodge_res = 1 - fighter_dodge / (enemy_dodge + enemy_dodge * (1 - enemy_crit / (enemy_crit + dodge)))
dodge_result = round(dodge_res * 100, 2)
await message.channel.send(f"Шанс увернуться от атаки = {dodge_result}%")
if message.content == '!!крит':
await message.channel.send(f'А шо считать?')
elif message.content.startswith('!!крит'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
crit = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'Вы не ввели уровни бойцов, значение по умолчанию = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_crit = {
1: 3374, 2: 3644, 3: 3914, 4: 4184, 5: 4454, 6: 4724, 7: 4994, 8: 5264, 9: 5534, 10: 5804, 11: 6074,
12: 6344, 13: 6614, 14: 6884, 15: 7154, 16: 7424, 17: 7694, 18: 7964, 19: 8234, 20: 8504, 21: 8774,
22: 9043, 23: 9313, 24: 9583, 25: 9853, 26: 10123, 27: 10393, 28: 10663, 29: 10933, 30: 11203, 31: 11473,
32: 11743, 33: 12013, 34: 12283, 35: 12553, 36: 12823, 37: 13093, 38: 13363, 39: 13633, 40: 13903,
41: 14173, 42: 14443, 43: 14713, 44: 14983, 45: 15252, 46: 15522, 47: 15792, 48: 16062, 49: 16332,
50: 16602, 51: 16872, 52: 17142, 53: 17412, 54: 17682, 55: 17952, 56: 18222, 57: 18492, 58: 18762,
59: 19032, 60: 19302, 61: 19572, 62: 19842, 63: 20112, 64: 20382, 65: 20652, 66: 20922, 67: 21191,
68: 21461, 69: 21731, 70: 22001, 71: 22271, 72: 22541, 73: 22811, 74: 23081, 75: 23351, 76: 23621,
77: 23891, 78: 24161, 79: 24431, 80: 24701, 81: 24971, 82: 25241, 83: 25511, 84: 25781, 85: 26051,
86: 26321, 87: 26591, 88: 26861, 89: 27130, 90: 27400, 91: 27670, 92: 27940, 93: 28210, 94: 28480,
95: 28750, 96: 29020, 97: 29290, 98: 29560, 99: 29830, 100: 30100
}
for c in hidden_crit:
if c == fighter_lvl:
fighter_crit = hidden_crit[c]
if c == enemy_lvl:
enemy_crit = hidden_crit[c]
crit_res = 1 - enemy_crit / (fighter_crit + crit)
crit_result = round(crit_res * 100, 2)
await message.channel.send(f"Шанс нанести критический урон = {crit_result}%")
if message.content == '!!магброня':
await message.channel.send(f'А шо считать?')
elif message.content.startswith('!!магброня'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
mage_armor = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'Вы не ввели уровни бойцов, значение по умолчанию = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_mage_armor = {
1: 3364, 2: 3632, 3: 3901, 4: 4170, 5: 4440, 6: 4709, 7: 4978, 8: 5246, 9: 5515, 10: 5785, 11: 6054,
12: 6323, 13: 6592, 14: 6860, 15: 7130, 16: 7399, 17: 7668, 18: 7937, 19: 8207, 20: 8476, 21: 8744,
22: 9013, 23: 9282, 24: 9552, 25: 9821, 26: 10090, 27: 10358, 28: 10628, 29: 10897, 30: 11166, 31: 11435,
32: 11704, 33: 11974, 34: 12242, 35: 12511, 36: 12780, 37: 13049, 38: 13319, 39: 13588, 40: 13856,
41: 14125, 42: 14395, 43: 14664, 44: 14933, 45: 15202, 46: 15470, 47: 15740, 48: 16009, 49: 16278,
50: 16547, 51: 16816, 52: 17086, 53: 17354, 54: 17623, 55: 17892, 56: 18162, 57: 18431, 58: 18700,
59: 18968, 60: 19237, 61: 19507, 62: 19776, 63: 20045, 64: 20314, 65: 20582, 66: 20852, 67: 21121,
68: 21390, 69: 21659, 70: 21929, 71: 22198, 72: 22466, 73: 22735, 74: 23004, 75: 23274, 76: 23543,
77: 23812, 78: 24080, 79: 24349, 80: 24619, 81: 24888, 82: 25157, 83: 25426, 84: 25696, 85: 25964,
86: 26233, 87: 26502, 88: 26771, 89: 27041, 90: 27310, 91: 27578, 92: 27847, 93: 28116, 94: 28386,
95: 28655, 96: 28924, 97: 29192, 98: 29462, 99: 29731, 100: 30000
}
for a in hidden_mage_armor:
if a == fighter_lvl:
fighter_mage_armor = hidden_mage_armor[a]
if a == enemy_lvl:
enemy_mage_armor = hidden_mage_armor[a]
mage_armor_res = 1 - fighter_mage_armor / (enemy_mage_armor + mage_armor)
mage_armor_result = round(mage_armor_res * 100, 2)
await message.channel.send(f"Поглощение магического урона = {mage_armor_result}%")
if message.content == '!!броня':
await message.channel.send(f'А шо считать?')
elif message.content.startswith('!!броня'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
armor = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'Вы не ввели уровни бойцов, значение по умолчанию = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_armor = {
1: 3442, 2: 3717, 3: 3992, 4: 4268, 5: 4543, 6: 4818, 7: 5094, 8: 5369, 9: 5644, 10: 5920, 11: 6195,
12: 6470, 13: 6746, 14: 7021, 15: 7296, 16: 7572, 17: 7847, 18: 8122, 19: 8398, 20: 8673, 21: 8948,
22: 9224, 23: 9499, 24: 9774, 25: 10050, 26: 10325, 27: 10600, 28: 10876, 29: 11151, 30: 11426, 31: 11702,
32: 11977, 33: 12252, 34: 12528, 35: 12803, 36: 13078, 37: 13354, 38: 13629, 39: 13904, 40: 14180,
41: 14455, 42: 14730, 43: 15006, 44: 15281, 45: 15557, 46: 15832, 47: 16107, 48: 16383, 49: 16658,
50: 16933, 51: 17209, 52: 17484, 53: 17759, 54: 18035, 55: 18310, 56: 18585, 57: 18861, 58: 19136,
59: 19411, 60: 19687, 61: 19962, 62: 20237, 63: 20513, 64: 20788, 65: 21063, 66: 21339, 67: 21614,
68: 21889, 69: 22165, 70: 22440, 71: 22715, 72: 22991, 73: 23266, 74: 23541, 75: 23817, 76: 24092,
77: 24367, 78: 24643, 79: 24918, 80: 25193, 81: 25469, 82: 25744, 83: 26019, 84: 26295, 85: 26570,
86: 26845, 87: 27121, 88: 27396, 89: 27671, 90: 27947, 91: 28222, 92: 28497, 93: 28773, 94: 29048,
95: 29323, 96: 29599, 97: 29874, 98: 30149, 99: 30425, 100: 30700
}
for a in hidden_armor:
if a == fighter_lvl:
fighter_armor = hidden_armor[a]
if a == enemy_lvl:
enemy_armor = hidden_armor[a]
armor_res = 1 - fighter_armor / (enemy_armor + armor)
armor_result = round(armor_res * 100, 2)
await message.channel.send(f"Поглощение физического урона = {armor_result}%")
if message.content == '!!бот':
await message.channel.send(f"Доступные команды:\n"
f"1. !!портал\n"
f"2. !!добыча\n"
f"3. !!броня\n"
f"4. !!магброня\n"
f"5. !!уворот\n"
f"6. !!крит\n"
f"7. !!помощь"
)
if message.content == '!!помощь':
await message.author.send(f'''
Для использования бота нужно написать в чат:
1. Для того, чтобы узнать свою добычу в сутки(из любой комнаты) ввести:
**!!добыча** добыча в час,%бонус добычи
(например: !!добыча 84496,24)
2. Для того, чтобы использовать калькулятор портала ввести:
**!!портал** уровень фарма,необходимое количество душ,сколько душ у вас уже есть,уровень
знамени душ, уровень квартала охотников,множитель(0-без множителя, 1-х2, 2-х3
(например: !!портал 125,1000000,100000,11,6,2)
3. Для того, чтобы узнать % поглощения брони, маг брони,шанса уворота,шанса крита,
необходимо ввести соответственно команду **!!броня !!магброня !!крит !!уворот** значение
соответствующего стата,уровень вашего бойца, уровень вражеского бойца
(например: !!броня 10000,100,100 !!магброня 15000,100,100 и т.д)
Если вы хотите оставить поле пустым(например, идёте в портал без знамени душ), то
просто в этом месте введите **0**.Необходимо правильно вводить команду, после неё
пробел, затем перечислить данные через запятую,
в указанной последовательности.
''')
if message.content == '!!portal':
await message.channel.send(f'Please, enter values')
elif message.content.startswith('!!portal'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
if len(info) < 1 or info[0] is None:
await message.channel.send(f'You did not specify the level of farming, default value = 80')
lvl = 80
else:
lvl = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'You did not specify the required number of souls, default value = 10000')
total_souls = 10000
else:
total_souls = info[1]
if len(info) < 3 or info[2] is None:
souls_has = 0
else:
souls_has = info[2]
if len(info) < 4 or info[3] is None:
banner_lvl = 0
else:
banner_lvl = info[3]
if len(info) < 5 or info[4] is None:
hunters_lvl = 0
else:
hunters_lvl = info[4]
if len(info) < 6 or info[5] is None:
factor_lvl = 0
else:
factor_lvl = info[5]
apples = {
1: 8300, 2: 8500, 3: 8800, 4: 9100, 5: 9400, 6: 9700, 7: 10000, 8: 10200, 9: 10500, 10: 10800,
11: 11100,
12: 11400, 13: 11700, 14: 11900, 15: 12200, 16: 12500, 17: 12900, 18: 13300, 19: 13700, 20: 14100,
21: 14500, 22: 14900, 23: 15300, 24: 15700, 25: 16100, 26: 16500, 27: 16900, 28: 17300, 29: 17700,
30: 18100, 31: 18500, 32: 18900, 33: 19400, 34: 19800, 35: 20200, 36: 20700, 37: 21100, 38: 21500,
39: 22000, 40: 22400, 41: 22800, 42: 23300, 43: 23700, 44: 24100, 45: 24600, 46: 25000, 47: 25800,
48: 26700, 49: 27500, 50: 28300, 51: 29200, 52: 30000, 53: 30800, 54: 31700, 55: 32500, 56: 33300,
57: 34200, 58: 35000, 59: 35800, 60: 36700, 61: 37500, 62: 38400, 63: 39300, 64: 40300, 65: 41200,
66: 42100, 67: 43000, 68: 43900, 69: 44900, 70: 45800, 71: 46700, 72: 47600, 73: 48600, 74: 49500,
75: 50400, 76: 51300, 77: 52200, 78: 53200, 79: 54100, 80: 55000, 81: 56000, 82: 56900, 83: 57800,
84: 58700, 85: 59700, 86: 60600, 87: 61500, 88: 62500, 89: 63400, 90: 64300, 91: 65300, 92: 66200,
93: 67100, 94: 68000, 95: 69900, 96: 69900, 97: 70800, 98: 71800, 99: 72700, 100: 73600, 101: 74600,
102: 75500, 103: 76400, 104: 77300, 105: 78300, 106: 79200, 107: 80100, 108: 81400, 109: 82000,
110: 82900,
111: 83900, 112: 84800, 113: 85700, 114: 86600, 115: 87600, 116: 88500, 117: 89400, 118: 90400,
119: 91300,
120: 92200, 121: 93200, 122: 94100, 123: 95000, 124: 95900, 125: 96900
}
souls = {
1: 10, 2: 11, 3: 13, 4: 14, 5: 15, 6: 17, 7: 18, 8: 19, 9: 21, 10: 22, 11: 23, 12: 25, 13: 26, 14: 27,
15: 29, 16: 30, 17: 32, 18: 34, 19: 36, 20: 38, 21: 40, 22: 42, 23: 44, 24: 46, 25: 48, 26: 50, 27: 52,
28: 54, 29: 56, 30: 58, 31: 60, 32: 64, 33: 68, 34: 72, 35: 76, 36: 80, 37: 84, 38: 88, 39: 92, 40: 96,
41: 100, 42: 104, 43: 108, 44: 112, 45: 116, 46: 120, 47: 128, 48: 136, 49: 144, 50: 152, 51: 160,
52: 168,
53: 176, 54: 184, 55: 192, 56: 200, 57: 208, 58: 216, 59: 224, 60: 232, 61: 240, 62: 254, 63: 267,
64: 281,
65: 295, 66: 308, 67: 322, 68: 336, 69: 349, 70: 363, 71: 377, 72: 391, 73: 404, 74: 418, 75: 432,
76: 445,
77: 459, 78: 473, 79: 486, 80: 500, 81: 518, 82: 519, 83: 528, 84: 538, 85: 547, 86: 557, 87: 567,
88: 578,
89: 586, 90: 596, 91: 605, 92: 615, 93: 625, 94: 635, 95: 645, 96: 654, 97: 664, 98: 674, 99: 684,
100: 695,
101: 705, 102: 715, 103: 725, 104: 735, 105: 745, 106: 756, 107: 766, 108: 776, 109: 787, 110: 797,
111: 808, 112: 818, 113: 829, 114: 840, 115: 850, 116: 861, 117: 872, 118: 882, 119: 893, 120: 904,
121: 915, 122: 926, 123: 937, 124: 948, 125: 959
}
hunters = {1: 0.04, 2: 0.05, 3: 0.05, 4: 0.07, 5: 0.07, 6: 0.09}
banner = {1: 0.05, 2: 0.07, 3: 0.09, 4: 0.11, 5: 0.13, 6: 0.15, 7: 0.20, 8: 0.25, 9: 0.30, 10: 0.37,
11: 0.44}
factor = {0: 0, 1: 0, 2: 1, 3: 2}
if lvl == 0:
apples = apples[0]
souls = souls[0]
else:
for i in apples:
if i == lvl:
apples = apples[i]
for j in souls:
if j == lvl:
souls = souls[j]
if banner_lvl == 0:
banner = 0
else:
for b in banner:
if b == banner_lvl:
banner = banner[b]
if hunters_lvl == 0:
hunters = 0
else:
for h in hunters:
if h == hunters_lvl:
hunters = hunters[h]
if factor_lvl == 0:
factor = 0
else:
for f in factor:
if f == factor_lvl:
factor = factor[f]
souls = souls + souls * factor + souls * hunters + souls * banner
tries = math.ceil((total_souls - souls_has) / souls)
apples *= tries
await message.channel.send(
f"Farm level: {lvl}\n"
f"Current number of souls: {souls_has}\n"
f"Required number of souls: {total_souls}\n"
f"Souls per level: {souls}\n"
f"Attempts need: {tries}\n"
f"Apples need: {apples}"
)
if message.content == '!!production':
await message.channel.send(f'Please, enter values')
elif message.content.startswith('!!production'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
float_apple = info[0]
persent_buff = info[1]
cooking = round(((float_apple + float_apple * (persent_buff / 100)) * 24), 2)
await message.channel.send(f"You product {cooking} apples per day")
if message.content == '!!dodge':
await message.channel.send(f'Please, enter values')
elif message.content.startswith('!!dodge'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
dodge = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'You have not entered the levels of fighters, default value = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_dodge = {
1: 4036, 2: 4359, 3: 4682, 4: 5004, 5: 5327, 6: 5650, 7: 5973, 8: 6296, 9: 6619, 10: 6942, 11: 7265,
12: 7587, 13: 7910, 14: 8233, 15: 8556, 16: 8879, 17: 9202, 18: 9525, 19: 9848, 20: 10170, 21: 10439,
22: 10846, 23: 11139, 24: 11462, 25: 11785, 26: 12108, 27: 12430, 28: 12753, 29: 13076, 30: 13399,
31: 13722, 32: 14045, 33: 14368, 34: 14691, 35: 15013, 36: 15336, 37: 15659, 38: 15982, 39: 16305,
40: 16628, 41: 16951, 42: 17274, 43: 17596, 44: 17919, 45: 18242, 46: 18565, 47: 18888, 48: 19211,
49: 19534, 50: 19857, 51: 20179, 52: 20502, 53: 20825, 54: 21148, 55: 21471, 56: 21794, 57: 22117,
58: 22439, 59: 22762, 60: 23085, 61: 23408, 62: 23731, 63: 24054, 64: 24377, 65: 24700, 66: 25022,
67: 25345, 68: 25668, 69: 25991, 70: 26314, 71: 26637, 72: 26960, 73: 27283, 74: 27605, 75: 27928,
76: 28251, 77: 28574, 78: 28897, 79: 29220, 80: 29543, 81: 29865, 82: 30188, 83: 30511, 84: 30834,
85: 31157, 86: 31480, 87: 31803, 88: 32126, 89: 32448, 90: 32771, 91: 33094, 92: 33417, 93: 33740,
94: 34063, 95: 34386, 96: 34709, 97: 35031, 98: 35354, 99: 35677, 100: 36000
}
hidden_crit = {
1: 3374, 2: 3644, 3: 3914, 4: 4184, 5: 4454, 6: 4724, 7: 4994, 8: 5264, 9: 5534, 10: 5804, 11: 6074,
12: 6344, 13: 6614, 14: 6884, 15: 7154, 16: 7424, 17: 7694, 18: 7964, 19: 8234, 20: 8504, 21: 8774,
22: 9043, 23: 9313, 24: 9583, 25: 9853, 26: 10123, 27: 10393, 28: 10663, 29: 10933, 30: 11203,
31: 11473,
32: 11743, 33: 12013, 34: 12283, 35: 12553, 36: 12823, 37: 13093, 38: 13363, 39: 13633, 40: 13903,
41: 14173, 42: 14443, 43: 14713, 44: 14983, 45: 15252, 46: 15522, 47: 15792, 48: 16062, 49: 16332,
50: 16602, 51: 16872, 52: 17142, 53: 17412, 54: 17682, 55: 17952, 56: 18222, 57: 18492, 58: 18762,
59: 19032, 60: 19302, 61: 19572, 62: 19842, 63: 20112, 64: 20382, 65: 20652, 66: 20922, 67: 21191,
68: 21461, 69: 21731, 70: 22001, 71: 22271, 72: 22541, 73: 22811, 74: 23081, 75: 23351, 76: 23621,
77: 23891, 78: 24161, 79: 24431, 80: 24701, 81: 24971, 82: 25241, 83: 25511, 84: 25781, 85: 26051,
86: 26321, 87: 26591, 88: 26861, 89: 27130, 90: 27400, 91: 27670, 92: 27940, 93: 28210, 94: 28480,
95: 28750, 96: 29020, 97: 29290, 98: 29560, 99: 29830, 100: 30100
}
for d in hidden_dodge:
if d == fighter_lvl:
fighter_dodge = hidden_dodge[d]
if d == enemy_lvl:
enemy_dodge = hidden_dodge[d]
for c in hidden_crit:
if c == fighter_lvl:
fighter_crit = hidden_crit[c]
if c == enemy_lvl:
enemy_crit = hidden_crit[c]
dodge_res = 1 - fighter_dodge / (enemy_dodge + enemy_dodge * (1 - enemy_crit / (enemy_crit + dodge)))
dodge_result = round(dodge_res * 100, 2)
await message.channel.send(f"Chance to dodge an attack = {dodge_result}%")
if message.content == '!!crit':
await message.channel.send(f'Please, enter values')
elif message.content.startswith('!!crit'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
crit = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'You have not entered the levels of fighters, default value = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_crit = {
1: 3374, 2: 3644, 3: 3914, 4: 4184, 5: 4454, 6: 4724, 7: 4994, 8: 5264, 9: 5534, 10: 5804, 11: 6074,
12: 6344, 13: 6614, 14: 6884, 15: 7154, 16: 7424, 17: 7694, 18: 7964, 19: 8234, 20: 8504, 21: 8774,
22: 9043, 23: 9313, 24: 9583, 25: 9853, 26: 10123, 27: 10393, 28: 10663, 29: 10933, 30: 11203,
31: 11473,
32: 11743, 33: 12013, 34: 12283, 35: 12553, 36: 12823, 37: 13093, 38: 13363, 39: 13633, 40: 13903,
41: 14173, 42: 14443, 43: 14713, 44: 14983, 45: 15252, 46: 15522, 47: 15792, 48: 16062, 49: 16332,
50: 16602, 51: 16872, 52: 17142, 53: 17412, 54: 17682, 55: 17952, 56: 18222, 57: 18492, 58: 18762,
59: 19032, 60: 19302, 61: 19572, 62: 19842, 63: 20112, 64: 20382, 65: 20652, 66: 20922, 67: 21191,
68: 21461, 69: 21731, 70: 22001, 71: 22271, 72: 22541, 73: 22811, 74: 23081, 75: 23351, 76: 23621,
77: 23891, 78: 24161, 79: 24431, 80: 24701, 81: 24971, 82: 25241, 83: 25511, 84: 25781, 85: 26051,
86: 26321, 87: 26591, 88: 26861, 89: 27130, 90: 27400, 91: 27670, 92: 27940, 93: 28210, 94: 28480,
95: 28750, 96: 29020, 97: 29290, 98: 29560, 99: 29830, 100: 30100
}
for c in hidden_crit:
if c == fighter_lvl:
fighter_crit = hidden_crit[c]
if c == enemy_lvl:
enemy_crit = hidden_crit[c]
crit_res = 1 - enemy_crit / (fighter_crit + crit)
crit_result = round(crit_res * 100, 2)
await message.channel.send(f"Chance of dealing crit damage = {crit_result}%")
if message.content == '!!magicarmor':
await message.channel.send(f'Please, enter values')
elif message.content.startswith('!!magicarmor'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
mage_armor = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'You have not entered the levels of fighters, default value = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_mage_armor = {
1: 3364, 2: 3632, 3: 3901, 4: 4170, 5: 4440, 6: 4709, 7: 4978, 8: 5246, 9: 5515, 10: 5785, 11: 6054,
12: 6323, 13: 6592, 14: 6860, 15: 7130, 16: 7399, 17: 7668, 18: 7937, 19: 8207, 20: 8476, 21: 8744,
22: 9013, 23: 9282, 24: 9552, 25: 9821, 26: 10090, 27: 10358, 28: 10628, 29: 10897, 30: 11166,
31: 11435,
32: 11704, 33: 11974, 34: 12242, 35: 12511, 36: 12780, 37: 13049, 38: 13319, 39: 13588, 40: 13856,
41: 14125, 42: 14395, 43: 14664, 44: 14933, 45: 15202, 46: 15470, 47: 15740, 48: 16009, 49: 16278,
50: 16547, 51: 16816, 52: 17086, 53: 17354, 54: 17623, 55: 17892, 56: 18162, 57: 18431, 58: 18700,
59: 18968, 60: 19237, 61: 19507, 62: 19776, 63: 20045, 64: 20314, 65: 20582, 66: 20852, 67: 21121,
68: 21390, 69: 21659, 70: 21929, 71: 22198, 72: 22466, 73: 22735, 74: 23004, 75: 23274, 76: 23543,
77: 23812, 78: 24080, 79: 24349, 80: 24619, 81: 24888, 82: 25157, 83: 25426, 84: 25696, 85: 25964,
86: 26233, 87: 26502, 88: 26771, 89: 27041, 90: 27310, 91: 27578, 92: 27847, 93: 28116, 94: 28386,
95: 28655, 96: 28924, 97: 29192, 98: 29462, 99: 29731, 100: 30000
}
for a in hidden_mage_armor:
if a == fighter_lvl:
fighter_mage_armor = hidden_mage_armor[a]
if a == enemy_lvl:
enemy_mage_armor = hidden_mage_armor[a]
mage_armor_res = 1 - fighter_mage_armor / (enemy_mage_armor + mage_armor)
mage_armor_result = round(mage_armor_res * 100, 2)
await message.channel.send(f"Magical damage absorption = {mage_armor_result}%")
if message.content == '!!armor':
await message.channel.send(f'Please, enter values')
elif message.content.startswith('!!armor'):
msg_list = message.content.split(' ', maxsplit=1)
msg_list[1] = msg_list[1].replace(' ', '')
info = list(map(int, msg_list[1].split(',')))
armor = info[0]
if len(info) < 2 or info[1] is None:
await message.channel.send(f'You have not entered the levels of fighters, default value = 100')
fighter_lvl = 100
enemy_lvl = 100
else:
fighter_lvl = info[2]
enemy_lvl = info[1]
hidden_armor = {
1: 3442, 2: 3717, 3: 3992, 4: 4268, 5: 4543, 6: 4818, 7: 5094, 8: 5369, 9: 5644, 10: 5920, 11: 6195,
12: 6470, 13: 6746, 14: 7021, 15: 7296, 16: 7572, 17: 7847, 18: 8122, 19: 8398, 20: 8673, 21: 8948,
22: 9224, 23: 9499, 24: 9774, 25: 10050, 26: 10325, 27: 10600, 28: 10876, 29: 11151, 30: 11426,
31: 11702,
32: 11977, 33: 12252, 34: 12528, 35: 12803, 36: 13078, 37: 13354, 38: 13629, 39: 13904, 40: 14180,
41: 14455, 42: 14730, 43: 15006, 44: 15281, 45: 15557, 46: 15832, 47: 16107, 48: 16383, 49: 16658,
50: 16933, 51: 17209, 52: 17484, 53: 17759, 54: 18035, 55: 18310, 56: 18585, 57: 18861, 58: 19136,
59: 19411, 60: 19687, 61: 19962, 62: 20237, 63: 20513, 64: 20788, 65: 21063, 66: 21339, 67: 21614,
68: 21889, 69: 22165, 70: 22440, 71: 22715, 72: 22991, 73: 23266, 74: 23541, 75: 23817, 76: 24092,
77: 24367, 78: 24643, 79: 24918, 80: 25193, 81: 25469, 82: 25744, 83: 26019, 84: 26295, 85: 26570,
86: 26845, 87: 27121, 88: 27396, 89: 27671, 90: 27947, 91: 28222, 92: 28497, 93: 28773, 94: 29048,
95: 29323, 96: 29599, 97: 29874, 98: 30149, 99: 30425, 100: 30700
}
for a in hidden_armor:
if a == fighter_lvl:
fighter_armor = hidden_armor[a]
if a == enemy_lvl:
enemy_armor = hidden_armor[a]
armor_res = 1 - fighter_armor / (enemy_armor + armor)
armor_result = round(armor_res * 100, 2)
await message.channel.send(f"Physical damage absorption = {armor_result}%")
if message.content == '!!bot':
await message.channel.send(f"command list:\n"
f"1. !!portal\n"
f"2. !!production\n"
f"3. !!armor\n"
f"4. !!magicarmor\n"
f"5. !!dodge\n"
f"6. !!crit\n"
f"7. !!help"
)
if message.content == '!!help':
await message.author.send(f'''
1. Calculating production of food per day [can work with all resources] :
- the prefix is **!!production** with additional information listed in the following order
- production per hour,%production bonus [happiness]
- **e.g**: !!production 60000,20
2. To use the Portal Calculator :
- The prefix is **!!portal** All additional information is added in the following order
- desired farming level,souls required for goal,souls currently obtained,level of soul banner,
level of hunter neighbourhood,soul multiplier [0 or 1=no multiplier, 2=x2, 3=x3]
- **e.g.**: !!portal 80,150000,10000,11,6,3
3. Determining percentages of stats :
- The following prefixes all follow the same pattern ;
**!!armor , !!magicarmor , !!crit , !!dodge**
- additional information required is added in this order ..
stat value [found in the list to the left of an equipped item], your fighter level, opponent fighter level
- **e.g.** !!dodge: 10000,100,100
- When entering the numbers in the command, you can substitute the value as 0
[for example you do not have banner of souls equipped]
- The bot requires all fields to be entered correctly in order to work properly.
Leave a space after the prefix, and the data separated by commas [with no spaces in between] and in the correct sequence
''')
# Здесь должен быть токен
client.run('token')
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0
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|
9e859cf88fec404b66ea8127ec56e81385519d25
| 27
|
py
|
Python
|
tests/python_not_in/not_in.py
|
hixio-mh/plugin-python
|
d59dca4b6166dc20eec3e7aa57b0649c072507ce
|
[
"MIT"
] | 362
|
2018-02-17T10:25:11.000Z
|
2022-03-30T21:04:59.000Z
|
tests/python_not_in/not_in.py
|
hixio-mh/plugin-python
|
d59dca4b6166dc20eec3e7aa57b0649c072507ce
|
[
"MIT"
] | 70
|
2018-02-17T04:00:14.000Z
|
2019-08-21T18:01:52.000Z
|
tests/python_not_in/not_in.py
|
hixio-mh/plugin-python
|
d59dca4b6166dc20eec3e7aa57b0649c072507ce
|
[
"MIT"
] | 36
|
2018-02-18T23:11:25.000Z
|
2021-09-20T07:19:36.000Z
|
a not in x
a not in [1, 2]
| 9
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| 0.333333
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0
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|
9ec0212c73bdbb8263139f7c693ce69c8f5bb41e
| 14,388
|
py
|
Python
|
research/nlp/DYR/src/dataset.py
|
leelige/mindspore
|
5199e05ba3888963473f2b07da3f7bca5b9ef6dc
|
[
"Apache-2.0"
] | 77
|
2021-10-15T08:32:37.000Z
|
2022-03-30T13:09:11.000Z
|
research/nlp/DYR/src/dataset.py
|
leelige/mindspore
|
5199e05ba3888963473f2b07da3f7bca5b9ef6dc
|
[
"Apache-2.0"
] | 3
|
2021-10-30T14:44:57.000Z
|
2022-02-14T06:57:57.000Z
|
research/nlp/DYR/src/dataset.py
|
leelige/mindspore
|
5199e05ba3888963473f2b07da3f7bca5b9ef6dc
|
[
"Apache-2.0"
] | 24
|
2021-10-15T08:32:45.000Z
|
2022-03-24T18:45:20.000Z
|
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""
Data operations, will be used in run_pretrain.py
"""
import os
import random
import numpy as np
import mindspore.common.dtype as mstype
import mindspore.dataset as ds
import mindspore.dataset.transforms.c_transforms as C
# samples in one block
POS_SIZE = 1
# max seq length
SEQ_LEN = 512
# rand id
RANK_ID = 0
# pos and neg samples in one minibatch on one device id
GROUP_SIZE = 8
# group number
GROUP_NUM = 1
# device number
DEVICE_NUM = 1
# batch size
BATCH_SIZE = 1
def process_samples_base(input_ids, input_mask, segment_ids, label_ids):
"""create block of samples"""
random.seed(1)
global GROUP_SIZE, SEQ_LEN
neg_len = GROUP_SIZE - 1
input_ids = input_ids.reshape(-1, SEQ_LEN)
input_mask = input_mask.reshape(-1, SEQ_LEN)
segment_ids = segment_ids.reshape(-1, SEQ_LEN)
label_ids = label_ids.reshape(-1, 1)
input_ids_l = input_ids.tolist()
input_mask_l = input_mask.tolist()
segment_ids_l = segment_ids.tolist()
label_ids_l = label_ids.tolist()
temp = []
for i in range(1, len(input_ids_l)):
temp.append({"input_ids": input_ids_l[i],
"input_mask": input_mask_l[i],
"segment_ids": segment_ids_l[i],
"label_ids": label_ids_l[i]})
negs = []
if len(temp) < neg_len:
negs = random.choices(temp, k=neg_len)
else:
negs = random.sample(temp, k=neg_len)
input_ids_n = [input_ids_l.pop(0)]
input_mask_n = [input_mask_l.pop(0)]
segment_ids_n = [segment_ids_l.pop(0)]
label_ids_n = [label_ids_l.pop(0)]
for i in range(neg_len):
input_ids_n.append(negs[i]["input_ids"])
input_mask_n.append(negs[i]["input_mask"])
segment_ids_n.append(negs[i]["segment_ids"])
label_ids_n.append(negs[i]["label_ids"])
input_ids = np.array(input_ids_n, dtype=np.int64)
input_mask = np.array(input_mask_n, dtype=np.int64)
segment_ids = np.array(segment_ids_n, dtype=np.int64)
label_ids = np.array(label_ids_n, dtype=np.int64)
input_ids = input_ids.reshape(-1, SEQ_LEN)
input_mask = input_mask.reshape(-1, SEQ_LEN)
segment_ids = segment_ids.reshape(-1, SEQ_LEN)
label_ids = label_ids.reshape(-1, POS_SIZE)
return input_ids, input_mask, segment_ids, label_ids
def samples_base(input_ids, input_mask, segment_ids, label_ids):
"""split samples for device"""
global GROUP_SIZE, GROUP_NUM, RANK_ID, SEQ_LEN, BATCH_SIZE, DEVICE_NUM
out_ids = []
out_mask = []
out_seg = []
out_label = []
assert len(input_ids) >= len(input_mask)
assert len(input_ids) >= len(segment_ids)
assert len(input_ids) >= len(label_ids)
group_id = RANK_ID * GROUP_NUM // DEVICE_NUM
begin0 = BATCH_SIZE * group_id
end0 = (group_id + 1) * BATCH_SIZE
begin = (RANK_ID % (DEVICE_NUM//GROUP_NUM)) * GROUP_NUM * GROUP_SIZE // DEVICE_NUM
end = ((RANK_ID % (DEVICE_NUM//GROUP_NUM)) + 1) * GROUP_NUM * GROUP_SIZE // DEVICE_NUM
begin_temp = begin
end_temp = end
for i in range(begin0, end0):
ids, mask, seg, lab = input_ids[i], input_mask[i], segment_ids[i], label_ids[i]
if begin_temp > len(input_ids[i]):
begin_temp = begin_temp - len(input_ids[i])
end_temp = end_temp - len(input_ids[i])
continue
ids = ids.reshape(-1, SEQ_LEN)
mask = mask.reshape(-1, SEQ_LEN)
seg = seg.reshape(-1, SEQ_LEN)
lab = lab.reshape(-1, 1)
ids = ids[begin_temp:end_temp]
mask = mask[begin_temp:end_temp]
seg = seg[begin_temp:end_temp]
lab = lab[begin_temp:end_temp]
out_ids.append(ids)
out_mask.append(mask)
out_seg.append(seg)
out_label.append(lab)
begin_temp = begin
end_temp = end
input_ids = np.array(out_ids, dtype=np.int64)
input_mask = np.array(out_mask, dtype=np.int64)
segment_ids = np.array(out_seg, dtype=np.int64)
label_ids = np.array(out_label, dtype=np.int64)
return input_ids, input_mask, segment_ids, label_ids
def create_dyr_base_dataset(device_num=1, rank=0, batch_size=1, repeat_count=1, dataset_format="mindrecord",
data_file_path=None, schema_file_path=None, do_shuffle=True,
group_size=1, group_num=1, seq_len=512):
"""create finetune dataset"""
global GROUP_SIZE, GROUP_NUM, RANK_ID, SEQ_LEN, BATCH_SIZE, DEVICE_NUM
GROUP_SIZE = group_size
GROUP_NUM = group_num
RANK_ID = rank
SEQ_LEN = seq_len
BATCH_SIZE = batch_size
DEVICE_NUM = device_num
print("device_num = %d, rank_id = %d, batch_size = %d" %(device_num, rank, batch_size))
print("group_size = %d, group_num = %d, seq_len = %d" %(group_size, group_num, seq_len))
divide = (group_size * group_num) % device_num
assert divide == 0
assert device_num >= group_num
type_cast_op = C.TypeCast(mstype.int32)
ds.config.set_seed(1000)
random.seed(1)
data_files = []
if ".mindrecord" in data_file_path:
data_files.append(data_file_path)
else:
files = os.listdir(data_file_path)
for file_name in files:
if "mindrecord" in file_name and "mindrecord.db" not in file_name:
data_files.append(os.path.join(data_file_path, file_name))
if dataset_format == "mindrecord":
data_set = ds.MindDataset(data_files,
columns_list=["input_ids", "input_mask", "segment_ids", "label_ids"],
shuffle=do_shuffle)
else:
data_set = ds.TFRecordDataset([data_file_path], schema_file_path if schema_file_path != "" else None,
columns_list=["input_ids", "input_mask", "segment_ids", "label_ids"],
shuffle=do_shuffle)
data_set = data_set.map(operations=process_samples_base,
input_columns=["input_ids", "input_mask", "segment_ids", "label_ids"])
batch_size = batch_size * group_num
data_set = data_set.batch(batch_size, drop_remainder=True)
data_set = data_set.map(operations=samples_base,
input_columns=["input_ids", "input_mask", "segment_ids", "label_ids"])
data_set = data_set.map(operations=type_cast_op, input_columns="label_ids")
data_set = data_set.map(operations=type_cast_op, input_columns="segment_ids")
data_set = data_set.map(operations=type_cast_op, input_columns="input_mask")
data_set = data_set.map(operations=type_cast_op, input_columns="input_ids")
data_set = data_set.repeat(repeat_count)
# apply batch operations
return data_set
def process_samples(input_ids, input_mask, segment_ids, label_ids):
"""create block of samples"""
random.seed(None)
rand_id = random.sample(range(0, 15), 15)
random.seed(1)
global GROUP_SIZE, SEQ_LEN
neg_len = GROUP_SIZE - 1
input_ids = input_ids.reshape(-1, SEQ_LEN)
input_mask = input_mask.reshape(-1, SEQ_LEN)
segment_ids = segment_ids.reshape(-1, SEQ_LEN)
label_ids = label_ids.reshape(-1, 1)
input_ids_l = input_ids.tolist()
input_mask_l = input_mask.tolist()
segment_ids_l = segment_ids.tolist()
label_ids_l = label_ids.tolist()
temp = []
for i in range(1, len(input_ids_l)):
temp.append({"input_ids": input_ids_l[i],
"input_mask": input_mask_l[i],
"segment_ids": segment_ids_l[i],
"label_ids": label_ids_l[i]})
negs = []
if len(temp) < neg_len:
negs = random.choices(temp, k=neg_len)
else:
negs = random.sample(temp, k=neg_len)
input_ids_n = [input_ids_l.pop(0)]
input_mask_n = [input_mask_l.pop(0)]
segment_ids_n = [segment_ids_l.pop(0)]
label_ids_n = [label_ids_l.pop(0)]
for i in range(neg_len):
input_ids_n.append(negs[i]["input_ids"])
input_mask_n.append(negs[i]["input_mask"])
segment_ids_n.append(negs[i]["segment_ids"])
label_ids_n.append(negs[i]["label_ids"])
input_ids = np.array(input_ids_n, dtype=np.int64)
input_mask = np.array(input_mask_n, dtype=np.int64)
segment_ids = np.array(segment_ids_n, dtype=np.int64)
label_ids = np.array(label_ids_n, dtype=np.int64)
input_ids = input_ids.reshape(-1, SEQ_LEN)
input_mask = input_mask.reshape(-1, SEQ_LEN)
segment_ids = segment_ids.reshape(-1, SEQ_LEN)
label_ids = label_ids.reshape(-1, POS_SIZE)
label_ids = np.array(rand_id, dtype=np.int64)
label_ids = label_ids.reshape(-1, 15)
return input_ids, input_mask, segment_ids, label_ids
def samples(input_ids, input_mask, segment_ids, label_ids):
"""split samples for device"""
global GROUP_SIZE, GROUP_NUM, RANK_ID, SEQ_LEN, BATCH_SIZE, DEVICE_NUM
out_ids = []
out_mask = []
out_seg = []
out_label = []
assert len(input_ids) >= len(input_mask)
assert len(input_ids) >= len(segment_ids)
assert len(input_ids) >= len(label_ids)
group_id = RANK_ID * GROUP_NUM // DEVICE_NUM
begin0 = BATCH_SIZE * group_id
end0 = (group_id + 1) * BATCH_SIZE
begin = (RANK_ID % (DEVICE_NUM // GROUP_NUM)) * GROUP_NUM * GROUP_SIZE // DEVICE_NUM
end = ((RANK_ID % (DEVICE_NUM // GROUP_NUM)) + 1) * GROUP_NUM * GROUP_SIZE // DEVICE_NUM
begin_temp = begin
end_temp = end
for i in range(begin0, end0):
ids, mask, seg, lab = input_ids[i], input_mask[i], segment_ids[i], label_ids[i]
if begin_temp > len(input_ids[i]):
begin_temp = begin_temp - len(input_ids[i])
end_temp = end_temp - len(input_ids[i])
continue
ids = ids.reshape(-1, SEQ_LEN)
mask = mask.reshape(-1, SEQ_LEN)
seg = seg.reshape(-1, SEQ_LEN)
lab = lab.reshape(-1, 15)
ids = ids[begin_temp:end_temp]
mask = mask[begin_temp:end_temp]
seg = seg[begin_temp:end_temp]
out_ids.append(ids)
out_mask.append(mask)
out_seg.append(seg)
out_label.append(lab)
begin_temp = begin
end_temp = end
input_ids = np.array(out_ids, dtype=np.int64)
input_mask = np.array(out_mask, dtype=np.int64)
segment_ids = np.array(out_seg, dtype=np.int64)
label_ids = np.array(out_label, dtype=np.int64)
return input_ids, input_mask, segment_ids, label_ids
def create_dyr_dataset(device_num=1, rank=0, batch_size=1, repeat_count=1, dataset_format="mindrecord",
data_file_path=None, schema_file_path=None, do_shuffle=True,
group_size=1, group_num=1, seq_len=512):
"""create finetune dataset"""
global GROUP_SIZE, GROUP_NUM, RANK_ID, SEQ_LEN, BATCH_SIZE, DEVICE_NUM
GROUP_SIZE = group_size
GROUP_NUM = group_num
RANK_ID = rank
SEQ_LEN = seq_len
BATCH_SIZE = batch_size
DEVICE_NUM = device_num
print("device_num = %d, rank_id = %d, batch_size = %d" %(device_num, rank, batch_size))
print("group_size = %d, group_num = %d, seq_len = %d" %(group_size, group_num, seq_len))
divide = (group_size * group_num) % device_num
assert divide == 0
assert device_num >= group_num
type_cast_op = C.TypeCast(mstype.int32)
ds.config.set_seed(1000)
random.seed(1)
data_files = []
if ".mindrecord" in data_file_path:
data_files.append(data_file_path)
else:
files = os.listdir(data_file_path)
for file_name in files:
if "mindrecord" in file_name and "mindrecord.db" not in file_name:
data_files.append(os.path.join(data_file_path, file_name))
if dataset_format == "mindrecord":
data_set = ds.MindDataset(data_files,
columns_list=["input_ids", "input_mask", "segment_ids", "label_ids"],
shuffle=do_shuffle)
else:
data_set = ds.TFRecordDataset([data_file_path], schema_file_path if schema_file_path != "" else None,
columns_list=["input_ids", "input_mask", "segment_ids", "label_ids"],
shuffle=do_shuffle)
data_set = data_set.map(operations=process_samples,
input_columns=["input_ids", "input_mask", "segment_ids", "label_ids"])
batch_size = batch_size * group_num
data_set = data_set.batch(batch_size, drop_remainder=True)
data_set = data_set.map(operations=samples, input_columns=["input_ids", "input_mask", "segment_ids", "label_ids"])
data_set = data_set.map(operations=type_cast_op, input_columns="label_ids")
data_set = data_set.map(operations=type_cast_op, input_columns="segment_ids")
data_set = data_set.map(operations=type_cast_op, input_columns="input_mask")
data_set = data_set.map(operations=type_cast_op, input_columns="input_ids")
data_set = data_set.repeat(repeat_count)
return data_set
def create_dyr_dataset_predict(batch_size=1, repeat_count=1, dataset_format="mindrecord",
data_file_path=None, schema_file_path=None, do_shuffle=True):
"""create evaluation dataset"""
type_cast_op = C.TypeCast(mstype.int32)
data_set = ds.MindDataset([data_file_path],
columns_list=["input_ids", "input_mask", "segment_ids"],
shuffle=do_shuffle)
data_set = data_set.map(operations=type_cast_op, input_columns="segment_ids")
data_set = data_set.map(operations=type_cast_op, input_columns="input_mask")
data_set = data_set.map(operations=type_cast_op, input_columns="input_ids")
data_set = data_set.repeat(repeat_count)
# apply batch operations
data_set = data_set.batch(batch_size, drop_remainder=True)
return data_set
| 42.949254
| 118
| 0.657979
| 2,143
| 14,388
| 4.083528
| 0.086794
| 0.060336
| 0.037139
| 0.033596
| 0.886984
| 0.882871
| 0.880128
| 0.8767
| 0.8727
| 0.8719
| 0
| 0.013641
| 0.225535
| 14,388
| 334
| 119
| 43.077844
| 0.771695
| 0.072421
| 0
| 0.879859
| 0
| 0
| 0.068218
| 0
| 0
| 0
| 0
| 0
| 0.035336
| 1
| 0.024735
| false
| 0
| 0.021201
| 0
| 0.070671
| 0.014134
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7b7a438ac238210b3ffb5c2e6bd72be258dfa292
| 132
|
py
|
Python
|
pyperclipintro.py
|
csagar131/automate-stuffs-py
|
903c888a5187a9887dea09520781cd3f7743b423
|
[
"BSL-1.0"
] | null | null | null |
pyperclipintro.py
|
csagar131/automate-stuffs-py
|
903c888a5187a9887dea09520781cd3f7743b423
|
[
"BSL-1.0"
] | null | null | null |
pyperclipintro.py
|
csagar131/automate-stuffs-py
|
903c888a5187a9887dea09520781cd3f7743b423
|
[
"BSL-1.0"
] | null | null | null |
import pyperclip
# copy the text to clipboard
pyperclip.copy('hello hii')
#pasting the text to clipboard
pyperclip.paste()
| 16.5
| 31
| 0.734848
| 18
| 132
| 5.388889
| 0.611111
| 0.268041
| 0.185567
| 0.371134
| 0.556701
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189394
| 132
| 7
| 32
| 18.857143
| 0.906542
| 0.416667
| 0
| 0
| 0
| 0
| 0.134328
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
7b82b322ba7703d841a135d6806b5fb7f4552d60
| 279
|
py
|
Python
|
python/etc/pypath_linux.py
|
gangserver/py_test
|
869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4
|
[
"Apache-2.0"
] | null | null | null |
python/etc/pypath_linux.py
|
gangserver/py_test
|
869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4
|
[
"Apache-2.0"
] | null | null | null |
python/etc/pypath_linux.py
|
gangserver/py_test
|
869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4
|
[
"Apache-2.0"
] | null | null | null |
import sys
sys.path.append("/home/gangserver/dev/data")
sys.path.append("/home/gangserver/dev/git/pydev/net/dasom/python/test")
sys.path.append("/home/gangserver/dev/git/pydev/net/dasom/python/exam")
sys.path.append("/home/gangserver/dev/git/pydev/net/dasom/python/doit")
| 39.857143
| 72
| 0.756272
| 45
| 279
| 4.688889
| 0.355556
| 0.132701
| 0.246446
| 0.322275
| 0.881517
| 0.881517
| 0.739336
| 0.739336
| 0.739336
| 0.739336
| 0
| 0
| 0.046595
| 279
| 6
| 73
| 46.5
| 0.793233
| 0
| 0
| 0
| 0
| 0
| 0.663004
| 0.663004
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
7ba48c6e954b65aebee2529df23e2e5018fb4c08
| 2,666
|
py
|
Python
|
tests/units/base.py
|
dem4ply/chibi
|
1f13db8200e8e60bbb839436d4c995d6b6220957
|
[
"WTFPL"
] | null | null | null |
tests/units/base.py
|
dem4ply/chibi
|
1f13db8200e8e60bbb839436d4c995d6b6220957
|
[
"WTFPL"
] | null | null | null |
tests/units/base.py
|
dem4ply/chibi
|
1f13db8200e8e60bbb839436d4c995d6b6220957
|
[
"WTFPL"
] | null | null | null |
from chibi.units.base import Unit
from unittest import TestCase
class Test_unit( TestCase ):
def setUp( self ):
self.unit = Unit( 10 )
def test_should_print_the_value_when_is_str( self ):
self.assertIn( '10', str( self.unit ) )
def test_when_add_a_int_should_work( self ):
r = 10 + self.unit
self.assertEqual( r.value, 20 )
r = self.unit + 10
self.assertEqual( r.value, 20 )
def test_when_add_a_float_should_work( self ):
r = 10.10 + self.unit
self.assertEqual( r.value, 20.1 )
r = self.unit + 10.1
self.assertEqual( r.value, 20.1 )
def test_when_sub_a_int_should_work( self ):
r = 10 - self.unit
self.assertEqual( r.value, 0 )
r = self.unit - 10
self.assertEqual( r.value, 0 )
def test_when_sub_a_float_should_work( self ):
r = 10.10 - self.unit
self.assertAlmostEqual( r.value, -0.1, delta=0.01 )
r = self.unit - 10.10
self.assertAlmostEqual( r.value, -0.1, delta=0.01 )
def test_when_mul_a_int_should_work( self ):
r = 10 * self.unit
self.assertEqual( r.value, 100 )
r = self.unit * 10
self.assertEqual( r.value, 100 )
def test_when_mul_a_float_should_work( self ):
r = 10.1 * self.unit
self.assertEqual( r.value, 101.0 )
r = self.unit * 10.1
self.assertEqual( r.value, 101.0 )
def test_when_div_a_int_should_work( self ):
r = 10 / self.unit
self.assertEqual( r.value, 1 )
r = self.unit / 10
self.assertEqual( r.value, 1 )
def test_when_div_a_float_should_work( self ):
r = 10.10 / self.unit
self.assertAlmostEqual( r.value, 0.99, delta=0.001 )
r = self.unit / 10.10
self.assertAlmostEqual( r.value, 0.99, delta=0.001 )
def test_when_div_int_a_int_should_work( self ):
r = 10 // self.unit
self.assertEqual( r.value, 1 )
r = self.unit // 10
self.assertEqual( r.value, 1 )
def test_when_div_int_a_float_should_work( self ):
r = 10.10 // self.unit
self.assertEqual( r.value, 0 )
r = self.unit // 10.10
self.assertEqual( r.value, 0 )
def test_when_pow_a_int_should_work( self ):
r = 10 ** self.unit
self.assertEqual( r.value, 10000000000 )
r = self.unit ** 10
self.assertEqual( r.value, 10000000000 )
def test_when_pow_float_a_float_should_work( self ):
r = 10.10 ** self.unit
self.assertEqual( r.value, 12589254117.941662 )
r = self.unit ** 10.10
self.assertEqual( r.value, 12589254117.941662 )
| 32.120482
| 60
| 0.60015
| 398
| 2,666
| 3.811558
| 0.115578
| 0.137113
| 0.210943
| 0.276862
| 0.876071
| 0.798945
| 0.736322
| 0.72116
| 0.655241
| 0.518128
| 0
| 0.097574
| 0.288822
| 2,666
| 82
| 61
| 32.512195
| 0.702532
| 0
| 0
| 0.358209
| 0
| 0
| 0.00075
| 0
| 0
| 0
| 0
| 0
| 0.373134
| 1
| 0.208955
| false
| 0
| 0.029851
| 0
| 0.253731
| 0.014925
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c87c3323b36040e2e80b42a12d45a6adc3f949ff
| 5,313
|
py
|
Python
|
o3seespy/command/element/truss.py
|
o3seespy/o3seespy
|
4fdd942370df1ac8d454e361f651405717b8584c
|
[
"MIT",
"BSD-3-Clause"
] | 16
|
2019-10-24T17:58:46.000Z
|
2022-03-01T19:48:06.000Z
|
o3seespy/command/element/truss.py
|
o3seespy/o3seespy
|
4fdd942370df1ac8d454e361f651405717b8584c
|
[
"MIT",
"BSD-3-Clause"
] | 5
|
2020-04-17T01:39:27.000Z
|
2020-12-18T05:07:58.000Z
|
o3seespy/command/element/truss.py
|
o3seespy/o3seespy
|
4fdd942370df1ac8d454e361f651405717b8584c
|
[
"MIT",
"BSD-3-Clause"
] | 6
|
2020-02-20T02:13:11.000Z
|
2021-11-01T19:08:41.000Z
|
from o3seespy.command.element.base_element import ElementBase
class Truss(ElementBase):
"""
The Truss Element Class
This command is used to construct a truss element object. There are two ways to construct a truss element object:
One way is to specify an area and a UniaxialMaterial identifier:
"""
op_type = 'Truss'
def __init__(self, osi, ele_nodes, big_a, mat, rho: float=None, c_flag: float=None, r_flag: float=None):
"""
Initial method for Truss
Parameters
----------
osi: o3seespy.OpenSeesInstance
ele_nodes: list
A list of two element nodes
big_a: float
Cross-sectional area of element
mat: obj
Object associated with previously-defined uniaxial_material
rho: float, optional
Mass per unit length, optional, default = 0.0
c_flag: float, optional
Consistent mass flag, optional, default = 0 * ``cflag`` = 0 lumped mass matrix (default) * ``cflag`` = 1
consistent mass matrix
r_flag: float, optional
Rayleigh damping flag, optional, default = 0 * ``rflag`` = 0 no rayleigh damping (default) * ``rflag`` = 1
include rayleigh damping
Examples
--------
>>> import o3seespy as o3
>>> osi = o3.OpenSeesInstance(ndm=2)
>>> coords = [[0, 0], [1, 0]]
>>> ele_nodes = [o3.node.Node(osi, *coords[x]) for x in range(len(coords))]
>>> mat = o3.uniaxial_material.Elastic(osi, 1.0)
>>> o3.element.Truss(osi, ele_nodes=ele_nodes, big_a=1.0, mat=mat, rho=1.0, c_flag=1.0, r_flag=1.0)
"""
self.osi = osi
self.ele_node_tags = [x.tag for x in ele_nodes]
self.ele_nodes = ele_nodes
self.big_a = float(big_a)
self.mat = mat
if rho is None:
self.rho = None
else:
self.rho = float(rho)
if c_flag is None:
self.c_flag = None
else:
self.c_flag = float(c_flag)
if r_flag is None:
self.r_flag = None
else:
self.r_flag = float(r_flag)
osi.n_ele += 1
self._tag = osi.n_ele
self._parameters = [self.op_type, self._tag, *self.ele_node_tags, self.big_a, self.mat.tag]
if getattr(self, 'rho') is not None:
self._parameters += ['-rho', self.rho]
if getattr(self, 'c_flag') is not None:
self._parameters += ['-cMass', self.c_flag]
if getattr(self, 'r_flag') is not None:
self._parameters += ['-doRayleigh', self.r_flag]
self.to_process(osi)
class CorotTruss(ElementBase):
"""
The CorotTruss Element Class
This command is used to construct a corotational truss element object. There are two ways to construct a
corotational truss element object:
One way is to specify an area and a UniaxialMaterial identifier:
"""
op_type = 'corotTruss'
def __init__(self, osi, ele_nodes, big_a, mat, rho: float=None, c_flag: float=None, r_flag: float=None):
"""
Initial method for CorotTruss
Parameters
----------
osi: o3seespy.OpenSeesInstance
ele_nodes: list
A list of two element nodes
big_a: float
Cross-sectional area of element
mat: obj
Object associated with previously-defined uniaxial_material
rho: float, optional
Mass per unit length, optional, default = 0.0
c_flag: float, optional
Consistent mass flag, optional, default = 0 * ``cflag`` = 0 lumped mass matrix (default) * ``cflag`` = 1
consistent mass matrix
r_flag: float, optional
Rayleigh damping flag, optional, default = 0 * ``rflag`` = 0 no rayleigh damping (default) * ``rflag`` = 1
include rayleigh damping
Examples
--------
>>> import o3seespy as o3
>>> osi = o3.OpenSeesInstance(ndm=2)
>>> coords = [[0, 0], [1, 0]]
>>> ele_nodes = [o3.node.Node(osi, *coords[x]) for x in range(len(coords))]
>>> mat = o3.uniaxial_material.Elastic(osi, 1.0)
>>> o3.element.CorotTruss(osi, ele_nodes=ele_nodes, big_a=1.0, mat=mat, rho=1.0, c_flag=1.0, r_flag=1.0)
"""
self.osi = osi
self.ele_node_tags = [x.tag for x in ele_nodes]
self.ele_nodes = ele_nodes
self.big_a = float(big_a)
self.mat = mat
if rho is None:
self.rho = None
else:
self.rho = float(rho)
if c_flag is None:
self.c_flag = None
else:
self.c_flag = float(c_flag)
if r_flag is None:
self.r_flag = None
else:
self.r_flag = float(r_flag)
osi.n_ele += 1
self._tag = osi.n_ele
self._parameters = [self.op_type, self._tag, *self.ele_node_tags, self.big_a, self.mat.tag]
if getattr(self, 'rho') is not None:
self._parameters += ['-rho', self.rho]
if getattr(self, 'c_flag') is not None:
self._parameters += ['-cMass', self.c_flag]
if getattr(self, 'r_flag') is not None:
self._parameters += ['-doRayleigh', self.r_flag]
self.to_process(osi)
| 36.895833
| 118
| 0.574816
| 714
| 5,313
| 4.127451
| 0.142857
| 0.03054
| 0.024432
| 0.026468
| 0.943332
| 0.943332
| 0.943332
| 0.935188
| 0.935188
| 0.907363
| 0
| 0.017303
| 0.3147
| 5,313
| 143
| 119
| 37.153846
| 0.79209
| 0.454545
| 0
| 0.918033
| 0
| 0
| 0.036371
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.032787
| false
| 0
| 0.016393
| 0
| 0.114754
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c8f28ce93e2404bd748af7cbd4fa2ccdc1ad23a6
| 65
|
py
|
Python
|
benkyo/common/__init__.py
|
xersuy/django-benkyou
|
59ed6dc953175487e0d32534219643ad606e8288
|
[
"MIT"
] | null | null | null |
benkyo/common/__init__.py
|
xersuy/django-benkyou
|
59ed6dc953175487e0d32534219643ad606e8288
|
[
"MIT"
] | null | null | null |
benkyo/common/__init__.py
|
xersuy/django-benkyou
|
59ed6dc953175487e0d32534219643ad606e8288
|
[
"MIT"
] | null | null | null |
from common.db_manage import *
from common.db_instance import *
| 16.25
| 32
| 0.8
| 10
| 65
| 5
| 0.6
| 0.4
| 0.48
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138462
| 65
| 3
| 33
| 21.666667
| 0.892857
| 0
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| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
c8f6acf94cb656307ff2f14e8535273f1d59f3a1
| 7,282
|
py
|
Python
|
yolo3/models/yolo3_xception.py
|
PedroRendeiro/keras-YOLOv3-model-set
|
b6a1b43b06b0c457e238e129128d484143cda318
|
[
"MIT"
] | 2
|
2021-01-26T23:03:47.000Z
|
2021-05-04T16:11:34.000Z
|
yolo3/models/yolo3_xception.py
|
acobo/keras-YOLOv3-model-set
|
6d7f7f2474dda43c112a9e0321447109a446ac69
|
[
"MIT"
] | null | null | null |
yolo3/models/yolo3_xception.py
|
acobo/keras-YOLOv3-model-set
|
6d7f7f2474dda43c112a9e0321447109a446ac69
|
[
"MIT"
] | 1
|
2021-03-10T09:02:27.000Z
|
2021-03-10T09:02:27.000Z
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""YOLO_v3 Xception Model Defined in Keras."""
import tensorflow as tf
from tensorflow.keras.layers import UpSampling2D, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.applications.xception import Xception
from yolo3.models.layers import compose, DarknetConv2D, DarknetConv2D_BN_Leaky, Depthwise_Separable_Conv2D_BN_Leaky, make_last_layers, make_depthwise_separable_last_layers, make_spp_last_layers
def yolo3_xception_body(inputs, num_anchors, num_classes):
"""Create YOLO_V3 Xception model CNN body in Keras."""
xception = Xception(input_tensor=inputs, weights='imagenet', include_top=False)
# input: 416 x 416 x 3
# block14_sepconv2_act: 13 x 13 x 2048
# block13_sepconv2_bn(middle in block13): 26 x 26 x 1024
# add_46(end of block12): 26 x 26 x 728
# block4_sepconv2_bn(middle in block4) : 52 x 52 x 728
# add_37(end of block3) : 52 x 52 x 256
f1 = xception.get_layer('block14_sepconv2_act').output
# f1 :13 x 13 x 2048
x, y1 = make_last_layers(f1, 1024, num_anchors * (num_classes + 5))
x = compose(
DarknetConv2D_BN_Leaky(512, (1,1)),
UpSampling2D(2))(x)
f2 = xception.get_layer('block13_sepconv2_bn').output
# f2: 26 x 26 x 1024
x = Concatenate()([x,f2])
x, y2 = make_last_layers(x, 512, num_anchors*(num_classes+5))
x = compose(
DarknetConv2D_BN_Leaky(256, (1,1)),
UpSampling2D(2))(x)
f3 = xception.get_layer('block4_sepconv2_bn').output
# f3 : 52 x 52 x 728
x = Concatenate()([x, f3])
x, y3 = make_last_layers(x, 256, num_anchors*(num_classes+5))
return Model(inputs = inputs, outputs=[y1,y2,y3])
def yolo3_spp_xception_body(inputs, num_anchors, num_classes):
"""Create YOLO_V3 SPP Xception model CNN body in Keras."""
xception = Xception(input_tensor=inputs, weights='imagenet', include_top=False)
# input: 416 x 416 x 3
# block14_sepconv2_act: 13 x 13 x 2048
# block13_sepconv2_bn(middle in block13): 26 x 26 x 1024
# add_46(end of block12): 26 x 26 x 728
# block4_sepconv2_bn(middle in block4) : 52 x 52 x 728
# add_37(end of block3) : 52 x 52 x 256
f1 = xception.get_layer('block14_sepconv2_act').output
# f1 :13 x 13 x 2048
x, y1 = make_spp_last_layers(f1, 1024, num_anchors * (num_classes + 5))
x = compose(
DarknetConv2D_BN_Leaky(512, (1,1)),
UpSampling2D(2))(x)
f2 = xception.get_layer('block13_sepconv2_bn').output
# f2: 26 x 26 x 1024
x = Concatenate()([x,f2])
x, y2 = make_last_layers(x, 512, num_anchors*(num_classes+5))
x = compose(
DarknetConv2D_BN_Leaky(256, (1,1)),
UpSampling2D(2))(x)
f3 = xception.get_layer('block4_sepconv2_bn').output
# f3 : 52 x 52 x 728
x = Concatenate()([x, f3])
x, y3 = make_last_layers(x, 256, num_anchors*(num_classes+5))
return Model(inputs = inputs, outputs=[y1,y2,y3])
def yolo3lite_xception_body(inputs, num_anchors, num_classes):
'''Create YOLO_v3 Lite Xception model CNN body in keras.'''
xception = Xception(input_tensor=inputs, weights='imagenet', include_top=False)
# input: 416 x 416 x 3
# block14_sepconv2_act: 13 x 13 x 2048
# block13_sepconv2_bn(middle in block13): 26 x 26 x 1024
# add_46(end of block12): 26 x 26 x 728
# block4_sepconv2_bn(middle in block4) : 52 x 52 x 728
# add_37(end of block3) : 52 x 52 x 256
f1 = xception.get_layer('block14_sepconv2_act').output
# f1 :13 x 13 x 2048
x, y1 = make_depthwise_separable_last_layers(f1, 1024, num_anchors * (num_classes + 5), block_id_str='14')
x = compose(
DarknetConv2D_BN_Leaky(512, (1,1)),
UpSampling2D(2))(x)
f2 = xception.get_layer('block13_sepconv2_bn').output
# f2: 26 x 26 x 1024
x = Concatenate()([x,f2])
x, y2 = make_depthwise_separable_last_layers(x, 512, num_anchors * (num_classes + 5), block_id_str='15')
x = compose(
DarknetConv2D_BN_Leaky(256, (1,1)),
UpSampling2D(2))(x)
f3 = xception.get_layer('block4_sepconv2_bn').output
# f3 : 52 x 52 x 728
x = Concatenate()([x, f3])
x, y3 = make_depthwise_separable_last_layers(x, 256, num_anchors * (num_classes + 5), block_id_str='16')
return Model(inputs = inputs, outputs=[y1,y2,y3])
def tiny_yolo3_xception_body(inputs, num_anchors, num_classes):
'''Create Tiny YOLO_v3 Xception model CNN body in keras.'''
xception = Xception(input_tensor=inputs, weights='imagenet', include_top=False)
# input: 416 x 416 x 3
# block14_sepconv2_act: 13 x 13 x 2048
# block13_sepconv2_bn(middle in block13): 26 x 26 x 1024
# add_46(end of block12): 26 x 26 x 728
# block4_sepconv2_bn(middle in block4) : 52 x 52 x 728
# add_37(end of block3) : 52 x 52 x 256
x1 = xception.get_layer('block13_sepconv2_bn').output
# x1 :26 x 26 x 1024
x2 = xception.get_layer('block14_sepconv2_act').output
# x2 :13 x 13 x 2048
x2 = DarknetConv2D_BN_Leaky(1024, (1,1))(x2)
y1 = compose(
DarknetConv2D_BN_Leaky(2048, (3,3)),
#Depthwise_Separable_Conv2D_BN_Leaky(filters=2048, kernel_size=(3, 3), block_id_str='14'),
DarknetConv2D(num_anchors*(num_classes+5), (1,1)))(x2)
x2 = compose(
DarknetConv2D_BN_Leaky(512, (1,1)),
UpSampling2D(2))(x2)
y2 = compose(
Concatenate(),
DarknetConv2D_BN_Leaky(1024, (3,3)),
#Depthwise_Separable_Conv2D_BN_Leaky(filters=1024, kernel_size=(3, 3), block_id_str='15'),
DarknetConv2D(num_anchors*(num_classes+5), (1,1)))([x2,x1])
return Model(inputs, [y1,y2])
def tiny_yolo3lite_xception_body(inputs, num_anchors, num_classes):
'''Create Tiny YOLO_v3 Lite Xception model CNN body in keras.'''
xception = Xception(input_tensor=inputs, weights='imagenet', include_top=False)
# input: 416 x 416 x 3
# block14_sepconv2_act: 13 x 13 x 2048
# block13_sepconv2_bn(middle in block13): 26 x 26 x 1024
# add_46(end of block12): 26 x 26 x 728
# block4_sepconv2_bn(middle in block4) : 52 x 52 x 728
# add_37(end of block3) : 52 x 52 x 256
x1 = xception.get_layer('block13_sepconv2_bn').output
# x1 :26 x 26 x 1024
x2 = xception.get_layer('block14_sepconv2_act').output
# x2 :13 x 13 x 2048
x2 = DarknetConv2D_BN_Leaky(1024, (1,1))(x2)
y1 = compose(
#DarknetConv2D_BN_Leaky(2048, (3,3)),
Depthwise_Separable_Conv2D_BN_Leaky(filters=2048, kernel_size=(3, 3), block_id_str='14'),
DarknetConv2D(num_anchors*(num_classes+5), (1,1)))(x2)
x2 = compose(
DarknetConv2D_BN_Leaky(512, (1,1)),
UpSampling2D(2))(x2)
y2 = compose(
Concatenate(),
#DarknetConv2D_BN_Leaky(1024, (3,3)),
Depthwise_Separable_Conv2D_BN_Leaky(filters=1024, kernel_size=(3, 3), block_id_str='15'),
DarknetConv2D(num_anchors*(num_classes+5), (1,1)))([x2,x1])
return Model(inputs, [y1,y2])
| 38.326316
| 194
| 0.645976
| 1,096
| 7,282
| 4.067518
| 0.093066
| 0.020188
| 0.05249
| 0.080754
| 0.920592
| 0.902423
| 0.894347
| 0.894347
| 0.887618
| 0.848587
| 0
| 0.134043
| 0.238808
| 7,282
| 189
| 195
| 38.529101
| 0.670215
| 0.282889
| 0
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| 0.056818
| false
| 0
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| 0.170455
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| null | 0
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| 1
| 1
| 1
| 1
| 1
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| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
cdbdc54f4a0ca509c4b8a5bcbc0be220497cb01e
| 4,363
|
py
|
Python
|
hubcheck/pageobjects/widgets/members_profile_mailpreference.py
|
codedsk/hubcheck
|
2ff506eb56ba00f035300862f8848e4168452a17
|
[
"MIT"
] | 1
|
2016-02-13T13:42:23.000Z
|
2016-02-13T13:42:23.000Z
|
hubcheck/pageobjects/widgets/members_profile_mailpreference.py
|
codedsk/hubcheck
|
2ff506eb56ba00f035300862f8848e4168452a17
|
[
"MIT"
] | null | null | null |
hubcheck/pageobjects/widgets/members_profile_mailpreference.py
|
codedsk/hubcheck
|
2ff506eb56ba00f035300862f8848e4168452a17
|
[
"MIT"
] | null | null | null |
from hubcheck.pageobjects.basepageelement import Radio
from hubcheck.pageobjects.basepageelement import Select
from hubcheck.pageobjects.widgets.members_profile_element import MembersProfileElement
class MembersProfileMailPreference1(MembersProfileElement):
def __init__(self, owner, locatordict={}):
super(MembersProfileMailPreference1,self).__init__(owner,locatordict)
# load hub's classes
MembersProfileMailPreference_Locators = self.load_class('MembersProfileMailPreference_Locators')
# update this object's locator
self.locators.update(MembersProfileMailPreference_Locators.locators)
# update the locators with those from the owner
self.update_locators_from_owner()
# setup page object's components
self.mailpreference = Radio(self,{'Yes':'mail_yes','No':'mail_no'})
self.access = Select(self,{'base':'access'})
# update the component's locators with this objects overrides
self._updateLocators()
def value(self):
"""return a dictionary of the mailpreference and access values"""
return {'mailpreference' : self.mailpreference.value(),
'access' : self.access.value()}
def update(self,mailpreference=None,access=None):
"""update the mailpreference and access values"""
if mailpreference != None:
self.mailpreference.value = mailpreference
if access != None:
self.access.value = access
self.save.click()
class MembersProfileMailPreference1_Locators_Base(object):
"""locators for MembersProfileMailPreference2 object"""
locators = {
'base' : "css=.profile-optin",
'mail_yes' : "css=#mailPreferenceOptionYes",
'mail_no' : "css=#mailPreferenceOptionNo",
'access' : "css=.profile-optin select[name='access[optin]']",
'sectionkey' : "css=.profile-optin .key",
'sectionvalue' : "css=.profile-optin .value",
'open' : "css=.profile-optin .edit-profile-section",
'close' : "css=.profile-optin .edit-profile-section",
'save' : "css=.profile-optin .section-edit-submit",
'cancel' : "css=.profile-optin .section-edit-cancel",
}
class MembersProfileMailPreference2(MembersProfileElement):
def __init__(self, owner, locatordict={}):
super(MembersProfileMailPreference2,self).__init__(owner,locatordict)
# load hub's classes
MembersProfileMailPreference_Locators = self.load_class('MembersProfileMailPreference_Locators')
# update this object's locator
self.locators.update(MembersProfileMailPreference_Locators.locators)
# update the locators with those from the owner
self.update_locators_from_owner()
# setup page object's components
self.mailpreference = Select(self,{'base':'mailpref'})
self.access = Select(self,{'base':'access'})
# update the component's locators with this objects overrides
self._updateLocators()
def value(self):
"""return a dictionary of the mailpreference and access values"""
return {'mailpreference' : self.mailpreference.value(),
'access' : self.access.value()}
def update(self,mailpreference=None,access=None):
"""update the mailpreference and access values"""
if mailpreference != None:
self.mailpreference.value = mailpreference
if access != None:
self.access.value = access
self.save.click()
class MembersProfileMailPreference2_Locators_Base(object):
"""locators for MembersProfileMailPreference2 object"""
locators = {
'base' : "css=.profile-optin",
'mailpref' : "css=.profile-optin select[name='mailPreferenceOption']",
'access' : "css=.profile-optin select[name='access[optin]']",
'sectionkey' : "css=.profile-optin .key",
'sectionvalue' : "css=.profile-optin .value",
'open' : "css=.profile-optin .edit-profile-section",
'close' : "css=.profile-optin .edit-profile-section",
'save' : "css=.profile-optin .section-edit-submit",
'cancel' : "css=.profile-optin .section-edit-cancel",
}
| 38.955357
| 104
| 0.647032
| 416
| 4,363
| 6.685096
| 0.180288
| 0.061129
| 0.091694
| 0.037397
| 0.851133
| 0.8105
| 0.8105
| 0.772384
| 0.772384
| 0.772384
| 0
| 0.002408
| 0.238597
| 4,363
| 111
| 105
| 39.306306
| 0.834738
| 0.155398
| 0
| 0.75
| 0
| 0
| 0.258436
| 0.083402
| 0
| 0
| 0
| 0
| 0
| 1
| 0.09375
| false
| 0
| 0.046875
| 0
| 0.265625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a93ec91b206cf18d2d262ed34572fbfdd6dd3c3e
| 4,252
|
py
|
Python
|
cifar/imbalance_cifar.py
|
Liuhong99/Imbalanced-SSL
|
9783c43dc709905f12e3e8398dd7de0a97d2b696
|
[
"MIT"
] | 2
|
2022-02-15T06:26:59.000Z
|
2022-03-17T16:44:28.000Z
|
cifar/imbalance_cifar.py
|
Liuhong99/Imbalanced-SSL
|
9783c43dc709905f12e3e8398dd7de0a97d2b696
|
[
"MIT"
] | null | null | null |
cifar/imbalance_cifar.py
|
Liuhong99/Imbalanced-SSL
|
9783c43dc709905f12e3e8398dd7de0a97d2b696
|
[
"MIT"
] | null | null | null |
import torch
import torchvision
import torchvision.transforms as transforms
import numpy as np
from PIL import Image
class IMBALANCECIFARIND(torchvision.datasets.CIFAR10):
cls_num = 10
def __init__(self, root, imb_type='step', imb_factor=0.01, rand_number=0, train=True,
transform=None, target_transform=None,
download=False, weight_path = None):
super(IMBALANCECIFARIND, self).__init__(root, train, transform, target_transform, download)
np.random.seed(rand_number)
img_num_list = self.get_img_num_per_cls(self.cls_num, imb_type, imb_factor)
self.weight_path = weight_path
self.gen_imbalanced_data(imb_type)
def get_img_num_per_cls(self, cls_num, imb_type, imb_factor):
img_max = len(self.data) / cls_num
img_num_per_cls = []
if imb_type == 'exp':
for cls_idx in range(cls_num):
num = img_max * (imb_factor**(cls_idx / (cls_num - 1.0)))
img_num_per_cls.append(int(num))
elif imb_type == 'step':
for cls_idx in range(cls_num // 2):
img_num_per_cls.append(int(img_max))
for cls_idx in range(cls_num // 2):
img_num_per_cls.append(int(img_max * imb_factor))
else:
img_num_per_cls.extend([int(img_max)] * cls_num)
return img_num_per_cls
def gen_imbalanced_data(self, imb_type):
if imb_type == 'exp':
self.data = np.load('data/cifar_exp_data.npy').astype('uint8')
self.targets = np.load('data/cifar_exp_label.npy').astype('int64')
if imb_type == 'step':
self.data = np.load('data/cifar_step_data.npy').astype('uint8')
self.targets = np.load('data/cifar_step_label.npy').astype('int64')
self.weights = np.load(self.weight_path).astype('float32')
def get_cls_num_list(self):
cls_num_list = []
for i in range(self.cls_num):
cls_num_list.append(self.num_per_cls_dict[i])
return cls_num_list
def __getitem__(self, index: int):
img, target = self.data[index], self.targets[index]
weight = self.weights[index]
img = Image.fromarray(img)
if self.transform is not None:
img = self.transform(img)
if self.target_transform is not None:
target = self.target_transform(target)
return img, target, weight
class IMBALANCECIFAR(torchvision.datasets.CIFAR10):
cls_num = 10
def __init__(self, root, imb_type='step', imb_factor=0.01, rand_number=0, train=True,
transform=None, target_transform=None,
download=False):
super(IMBALANCECIFAR, self).__init__(root, train, transform, target_transform, download)
np.random.seed(rand_number)
img_num_list = self.get_img_num_per_cls(self.cls_num, imb_type, imb_factor)
self.gen_imbalanced_data(imb_type)
def get_img_num_per_cls(self, cls_num, imb_type, imb_factor):
img_max = len(self.data) / cls_num
img_num_per_cls = []
if imb_type == 'exp':
for cls_idx in range(cls_num):
num = img_max * (imb_factor**(cls_idx / (cls_num - 1.0)))
img_num_per_cls.append(int(num))
elif imb_type == 'step':
for cls_idx in range(cls_num // 2):
img_num_per_cls.append(int(img_max))
for cls_idx in range(cls_num // 2):
img_num_per_cls.append(int(img_max * imb_factor))
else:
img_num_per_cls.extend([int(img_max)] * cls_num)
return img_num_per_cls
def gen_imbalanced_data(self, imb_type):
if imb_type == 'exp':
self.data = np.load('data/cifar_exp_data.npy').astype('uint8')
self.targets = np.load('data/cifar_exp_label.npy').astype('int64')
if imb_type == 'step':
self.data = np.load('data/cifar_step_data.npy').astype('uint8')
self.targets = np.load('data/cifar_step_label.npy').astype('int64')
def get_cls_num_list(self):
cls_num_list = []
for i in range(self.cls_num):
cls_num_list.append(self.num_per_cls_dict[i])
return cls_num_list
| 40.495238
| 99
| 0.625353
| 609
| 4,252
| 4.031199
| 0.134647
| 0.068432
| 0.065988
| 0.078208
| 0.801629
| 0.801629
| 0.801629
| 0.801629
| 0.801629
| 0.801629
| 0
| 0.012121
| 0.2627
| 4,252
| 105
| 100
| 40.495238
| 0.770973
| 0
| 0
| 0.75
| 0
| 0
| 0.06466
| 0.045145
| 0
| 0
| 0
| 0
| 0
| 1
| 0.102273
| false
| 0
| 0.056818
| 0
| 0.261364
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a97385ffe96727e5427fc9bfb0036397ac0af55b
| 6,539
|
py
|
Python
|
musicalrobot/tests/test_data_encoding.py
|
pozzocapstone/musical-robot1
|
556cb325851c6e268bee6c46d8a00e073b404ca6
|
[
"MIT"
] | 1
|
2020-07-01T17:41:27.000Z
|
2020-07-01T17:41:27.000Z
|
musicalrobot/tests/test_data_encoding.py
|
pozzocapstone/musical-robot1
|
556cb325851c6e268bee6c46d8a00e073b404ca6
|
[
"MIT"
] | null | null | null |
musicalrobot/tests/test_data_encoding.py
|
pozzocapstone/musical-robot1
|
556cb325851c6e268bee6c46d8a00e073b404ca6
|
[
"MIT"
] | 4
|
2019-11-21T01:59:12.000Z
|
2021-05-20T15:37:09.000Z
|
import os,sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import irtemp
import edge_detection
import data_encoding
def test_derivative():
'''Test for function which calculates the derivative
of the temperature profile for neural network input'''
file_name = ('../musical-robot/musicalrobot/data/10_17_19_PPA_Shallow_plate.tiff')
frames = edge_detection.input_file(file_name)
crop_frame = []
for frame in frames:
crop_frame.append(frame[35:85,40:120])
n_samples = 9; n_rows = 3; n_columns = 3
labeled_samples = edge_detection.edge_detection(crop_frame, n_samples)
regprops = edge_detection.regprop(labeled_samples, crop_frame, n_rows, n_columns)
sorted_regprops = edge_detection.sort_regprops(regprops, n_columns, n_rows)
temp, plate_temp = edge_detection.sample_temp(sorted_regprops,crop_frame)
derivative_list = data_encoding.derivative(temp, plate_temp)
assert isinstance(derivative_list, list), 'Output is not a list'
assert len(derivative_list) == len(temp), 'Incorrect number of derivatives'
return
def test_plot_to_array():
'''Test for function which generates a gray images
of the temperature profile'''
file_name = ('../musical-robot/musicalrobot/data/10_17_19_PPA_Shallow_plate.tiff')
frames = edge_detection.input_file(file_name)
crop_frame = []
for frame in frames:
crop_frame.append(frame[35:85,40:120])
n_samples = 9; n_rows = 3; n_columns = 3
labeled_samples = edge_detection.edge_detection(crop_frame, n_samples)
regprops = edge_detection.regprop(labeled_samples, crop_frame, n_rows, n_columns)
sorted_regprops = edge_detection.sort_regprops(regprops, n_columns, n_rows)
temp, plate_temp = edge_detection.sample_temp(sorted_regprops,crop_frame)
for i in range(len(temp)):
x = plate_temp[i]
y = temp[i]
length = 2
gray_image = data_encoding.plot_to_array(x ,y, length)
assert isinstance(gray_image, np.ndarray), 'Output is not an array'
assert len(gray_image) == 200, 'Incorrectly sized output array'
return
def test_plot_to_array1():
'''Test for function which generates an array of the
image of derivative of the temperature profile'''
file_name = ('../musical-robot/musicalrobot/data/10_17_19_PPA_Shallow_plate.tiff')
frames = edge_detection.input_file(file_name)
crop_frame = []
for frame in frames:
crop_frame.append(frame[35:85,40:120])
n_samples = 9; n_rows = 3; n_columns = 3
labeled_samples = edge_detection.edge_detection(crop_frame, n_samples)
regprops = edge_detection.regprop(labeled_samples, crop_frame, n_rows, n_columns)
sorted_regprops = edge_detection.sort_regprops(regprops, n_columns, n_rows)
temp, plate_temp = edge_detection.sample_temp(sorted_regprops,crop_frame)
for i in range(len(temp)):
x = plate_temp[i]
length = 2
gray_image = data_encoding.plot_to_array1(x, length)
assert isinstance(gray_image, np.ndarray), 'Output is not an array'
assert len(gray_image) == 200, 'Incorrectly sized output array'
return
def test_noise_prediction():
'''Test for function which classifies images as noisy or
not noisy'''
file_name = ('../musical-robot/musicalrobot/data/10_17_19_PPA_Shallow_plate.tiff')
frames = edge_detection.input_file(file_name)
crop_frame = []
for frame in frames:
crop_frame.append(frame[35:85,40:120])
n_samples = 9; n_rows = 3; n_columns = 3
labeled_samples = edge_detection.edge_detection(crop_frame, n_samples)
regprops = edge_detection.regprop(labeled_samples, crop_frame, n_rows, n_columns)
sorted_regprops = edge_detection.sort_regprops(regprops, n_columns, n_rows)
temp, plate_temp = edge_detection.sample_temp(sorted_regprops,crop_frame)
data_encoding.noise_image(temp, plate_temp, 'musicalrobot/data/')
file_path = 'musicalrobot/data/noise_images/'
result_df, nonoise_index = data_encoding.noise_prediction(file_path)
assert isinstance(result_df, pd.DataFrame), 'Output is not a dataframe'
assert len(result_df) == len(temp), 'Incorrect number of samples in the dataframe'
assert isinstance(nonoise_index, list), 'Output is not a list'
def test_inf_prediction():
'''Test for function which classifies images as with and
without inflection'''
file_name = ('../musical-robot/musicalrobot/data/10_17_19_PPA_Shallow_plate.tiff')
frames = edge_detection.input_file(file_name)
crop_frame = []
for frame in frames:
crop_frame.append(frame[35:85,40:120])
n_samples = 9; n_rows = 3; n_columns = 3
labeled_samples = edge_detection.edge_detection(crop_frame, n_samples)
regprops = edge_detection.regprop(labeled_samples, crop_frame, n_rows, n_columns)
sorted_regprops = edge_detection.sort_regprops(regprops, n_columns, n_rows)
temp, plate_temp = edge_detection.sample_temp(sorted_regprops,crop_frame)
data_encoding.noise_image(temp, plate_temp, 'musicalrobot/data/')
file_path = 'musicalrobot/data/noise_images/'
result_df, nonoise_index = data_encoding.noise_prediction(file_path)
data_encoding.inf_images(temp, plate_temp, 2, nonoise_index,'musicalrobot/data/')
file_path = 'musicalrobot/data/inf_images/'
inf_pred, inf_index = data_encoding.inf_prediction(file_path)
assert isinstance(inf_pred, dict),'Output is not a dictionary'
assert isinstance(inf_index, list), 'Output is not a list'
return
def test_final_result():
'''Test for the wrappung function'''
file_name = ('../musical-robot/musicalrobot/data/10_17_19_PPA_Shallow_plate.tiff')
frames = edge_detection.input_file(file_name)
crop_frame = []
for frame in frames:
crop_frame.append(frame[35:85,40:120])
n_samples = 9; n_rows = 3; n_columns = 3
labeled_samples = edge_detection.edge_detection(crop_frame, n_samples)
regprops = edge_detection.regprop(labeled_samples, crop_frame, n_rows, n_columns)
sorted_regprops = edge_detection.sort_regprops(regprops, n_columns, n_rows)
temp, plate_temp = edge_detection.sample_temp(sorted_regprops,crop_frame)
path = 'musicalrobot/data/'
result_df = data_encoding.final_result(temp, plate_temp, path)
assert isinstance(result_df, pd.DataFrame), 'Output is not a dataframe'
assert len(result_df) == len(temp), 'Incorrect number of samples classfied'
return
| 49.916031
| 86
| 0.740939
| 940
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| 0.02631
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| 0.837755
| 0.790397
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| 0.766279
| 0.745231
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| 0.163787
| 6,539
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| 87
| 49.916031
| 0.812363
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| 0.080723
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| 0.115044
| 1
| 0.053097
| false
| 0
| 0.061947
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| 0.159292
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| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
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0
| 7
|
8d28fe5e4adfa1aff5495ad83e09d0e7b5179b68
| 209
|
py
|
Python
|
apps/logic/applications/application_test/views.py
|
FuJianTech/OIP
|
0f3f52a835966f7408ca1d0d9d3e46ae5e63f91a
|
[
"MIT"
] | null | null | null |
apps/logic/applications/application_test/views.py
|
FuJianTech/OIP
|
0f3f52a835966f7408ca1d0d9d3e46ae5e63f91a
|
[
"MIT"
] | null | null | null |
apps/logic/applications/application_test/views.py
|
FuJianTech/OIP
|
0f3f52a835966f7408ca1d0d9d3e46ae5e63f91a
|
[
"MIT"
] | null | null | null |
# !/bin/env python
# -*- coding=utf-8 -*-
from flask import jsonify
from . import application_test
@application_test.route("/test", methods=['GET'])
def test():
return jsonify({"data": "test blueprint"})
| 23.222222
| 49
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|
0
| 7
|
8d636e5dc9ab0f21360a4c583ed95963c76df07d
| 16,084
|
py
|
Python
|
python/rifta/tif_2d.py
|
mfkiwl/RIFTA
|
e5171a5ef91bdc9445fc0a84448f62650521efd6
|
[
"MIT"
] | null | null | null |
python/rifta/tif_2d.py
|
mfkiwl/RIFTA
|
e5171a5ef91bdc9445fc0a84448f62650521efd6
|
[
"MIT"
] | null | null | null |
python/rifta/tif_2d.py
|
mfkiwl/RIFTA
|
e5171a5ef91bdc9445fc0a84448f62650521efd6
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2021 Tianyi Wang
#
# Tianyi Wang
# tianyiwang6666@gmail.com
#
# All rights reserved
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import numpy as np
from scipy.optimize import least_squares
def tif_surpergaussian_2d(X: np.ndarray,
Y: np.ndarray,
t: float,
a: float,
sigma: np.ndarray,
mu: np.ndarray = np.array([0, 0]),
p: float = 1.0) -> np.ndarray:
'''
Returns a 2D super Gaussian function
Parameters
----------
X: `numpy.ndarray`
x coordinates [m]
Y: `numpy.ndarray`
y coordinates [m]
t: `float`
dwell time [m]
a: `float`
PRR [m/s]
sigma: `numpy.ndarray`
variances in x and y [m]
mu: `numpy.ndarray`
mu[2] = center x and y
p: `numpy.ndarray`
power
Returns
-------
`numpy.ndarray`
2D Super Gaussian profile
'''
return t * a * np.exp(-((X - mu[0])**2 / (2 * sigma[0]**2) + (Y - mu[1])**2 / (2 * sigma[1]**2))**p)
def cost_func_tif_gaussian_2d(params: np.ndarray,
X: np.ndarray,
Y: np.ndarray,
Z: np.ndarray,
t: np.ndarray) -> np.ndarray:
'''
(Inner function) Return the difference between the measured and the hteoretical super Gaussian function
Paramters
---------
params: `numpy.ndarray`
[0]: a [m/s], [1:3]: sigma_x, sigma_y [m], [3]: power=1, [4:]: centers, mu_x0, mu_y0, mu_x1, mu_y1, ...
X: `numpy.ndarray`
x coordinates [m], 3D array
Y: `numpy.ndarray`
y coordinates [m], 3D array
Z: `numpy.ndarray`
sets of surface errors [m], 3D array
t: `numpy.ndarray`
sets of dwell time [s]
Returns
-------
`numpy.ndarray`
Cost function for the 2D Super Gaussian profile learning
'''
a = params[0]
sigma = params[1:3]
mu = params[3:]
Z_fit = np.zeros_like(X)
t_v = np.atleast_1d(t)
for i in range(len(t_v)):
mui = mu[i * 2: i * 2 + 2]
Z_fit[:, :, i] = tif_surpergaussian_2d(
X[:, :, i], Y[:, :, i], t_v[i], a, sigma, mui, 1
)
dZ = Z.ravel() - Z_fit.ravel()
dZ = dZ[np.isfinite(dZ)]
return dZ
def learn_tif_gaussian_from_fps_2d(params_ini: np.ndarray,
X: np.ndarray,
Y: np.ndarray,
Z: np.ndarray,
t: np.ndarray,
r_tif: float):
'''
Returns the optimized 'params_opt' for the tif, using nonlinear least-squares to fit
the footprints extracted from 'x' and 'z'
Parameters
----------
params_ini: `numpy.ndarray`
[a_ini, sigma_x, sigma_y, p, mu0_ini, mu1_ini, ...]
X: `numpy.ndarray`
x coordinates of the 1d height profile [m]
Y: `numpy.ndarray`
y coordinates of the 1d height profile [m]
Z: `numpy.ndarray`
2D height profile [m]
t: `numpy.ndarray`
set of dwell times [s]
r_tif: `float`
radius of the tif [m]
Returns
-------
params_opt: `numpy.ndarray`
optmized params
X_fps: `numpy.ndarray`
2D numpy array, x coordinates of footpritns
Y_fps: `numpy.ndarray`
2D numpy array, y coordinates of footpritns
Z_fps: `numpy.ndarray`
2D numpy array, profiles of footprints
X_tif: `numpy.ndarray`
x tif coordinates
Y_tif: `numpy.ndarray`
y tif coordinates
Z_tif: `numpy.ndarray`
averaged tif profiles
'''
n = len(np.atleast_1d(t)) # number of footpritns
pixel_m = np.median(np.diff(X[0, :])) # pixel size
# half window size of tif [pixels]
hf_win_sz = np.round(r_tif / pixel_m).astype(int)
# preallocation of data for fitting
X_fps = np.zeros((hf_win_sz * 2 + 1, hf_win_sz * 2 + 1, n))
Y_fps = np.zeros((hf_win_sz * 2 + 1, hf_win_sz * 2 + 1, n))
Z_fps = np.zeros((hf_win_sz * 2 + 1, hf_win_sz * 2 + 1, n))
# initial guesses of the centers
ux_ini = params_ini[3::2]
uy_ini = params_ini[4::2]
pix_ux_ini = np.round(
(ux_ini - np.nanmin(X[0, :])) / pixel_m).astype(int)
pix_uy_ini = np.round(
(np.nanmax(Y[:, 0]) - uy_ini) / pixel_m).astype(int)
# feed the data into the preallocated data
for i in range(n):
# raw guess according to the data to find the peak
tmp = Z[np.ix_(pix_uy_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int),
pix_ux_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int))]
id_max = np.unravel_index(np.nanargmax(tmp), tmp.shape)
pix_peak_x = pix_ux_ini[i] - hf_win_sz + id_max[1] + 1
pix_peak_y = pix_uy_ini[i] - hf_win_sz + id_max[0] + 1
# feeding the data id_max for each footprint
idy = pix_peak_y + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
idx = pix_peak_x + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
# crop & feed the data
X_fps[:, :, i] = X[np.ix_(idy, idx)]
Y_fps[:, :, i] = Y[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z_fps[:, :, i] - np.nanmin(Z_fps[:, :, i])
# learn the center first
res = least_squares(
cost_func_tif_gaussian_2d, params_ini,
ftol=1e-15, gtol=1e-15, xtol=1e-15, max_nfev=1e6,
args=(X_fps, Y_fps, Z_fps, t)
)
# learn again using the new centers mu_opt
ux_ini = res.x[3::2]
uy_ini = res.x[4::2]
pix_ux_ini = np.round(
(ux_ini - np.nanmin(X[0, :])) / pixel_m).astype(int)
pix_uy_ini = np.round(
(np.nanmax(Y[:, 0]) - uy_ini) / pixel_m).astype(int)
# feed the data into the preallocated data
for i in range(n):
# raw guess according to the data to find the peak
tmp = Z[np.ix_(pix_uy_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int),
pix_ux_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int))]
id_max = np.unravel_index(np.nanargmax(tmp), tmp.shape)
pix_peak_x = pix_ux_ini[i] - hf_win_sz + id_max[1] + 1
pix_peak_y = pix_uy_ini[i] - hf_win_sz + id_max[0] + 1
# feeding the data id_max for each footprint
idy = pix_peak_y + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
idx = pix_peak_x + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
# crop & feed the data
X_fps[:, :, i] = X[np.ix_(idy, idx)]
Y_fps[:, :, i] = Y[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z_fps[:, :, i] - np.nanmin(Z_fps[:, :, i])
# learn the center first
res = least_squares(
cost_func_tif_gaussian_2d, params_ini,
ftol=1e-15, gtol=1e-15, xtol=1e-15, max_nfev=1e6,
args=(X_fps, Y_fps, Z_fps, t)
)
Z_tif = np.sum(Z_fps, axis=2) / np.sum(t)
Z_tif[Z_tif < 0] = 0
X_tif, Y_tif = np.meshgrid(
np.arange(-hf_win_sz, hf_win_sz + 1),
np.arange(-hf_win_sz, hf_win_sz + 1)
)
X_tif = X_tif * pixel_m
Y_tif = -Y_tif * pixel_m
return res.x, X_tif, Y_tif, Z_tif, X_fps, Y_fps, Z_fps
def cost_func_tif_supergaussian_2d(params: np.ndarray,
X: np.ndarray,
Y: np.ndarray,
Z: np.ndarray,
t: np.ndarray) -> np.ndarray:
'''
(Inner function) Return the difference between the measured and the hteoretical super Gaussian function
Paramters
---------
params: `numpy.ndarray`
[0]: a [m/s], [1:3]: sigma_x, sigma_y [m], [3]: power, [4:]: centers, mu_x0, mu_y0, mu_x1, mu_y1, ...
X: `numpy.ndarray`
x coordinates [m], 3D array
Y: `numpy.ndarray`
y coordinates [m], 3D array
Z: `numpy.ndarray`
sets of surface errors [m], 3D array
t: `numpy.ndarray`
sets of dwell time [s]
Returns
-------
`numpy.ndarray`
Cost function for the 2D Super Gaussian profile learning
'''
a = params[0]
sigma = params[1:3]
p = params[3]
mu = params[4:]
Z_fit = np.zeros_like(X)
t_v = np.atleast_1d(t)
for i in range(len(t_v)):
mui = mu[i * 2: i * 2 + 2]
Z_fit[:, :, i] = tif_surpergaussian_2d(
X[:, :, i], Y[:, :, i], t_v[i], a, sigma, mui, p
)
dZ = Z.ravel() - Z_fit.ravel()
dZ = dZ[np.isfinite(dZ)]
return dZ
def learn_tif_supergaussian_from_fps_2d(params_ini: np.ndarray,
X: np.ndarray,
Y: np.ndarray,
Z: np.ndarray,
t: np.ndarray,
r_tif: float):
'''
Returns the optimized 'params_opt' for the tif, using nonlinear least-squares to fit
the footprints extracted from 'x' and 'z'
Parameters
----------
params_ini: `numpy.ndarray`
[a_ini, sigma_x, sigma_y, p, mu0_ini, mu1_ini, ...]
X: `numpy.ndarray`
x coordinates of the 1d height profile [m]
Y: `numpy.ndarray`
y coordinates of the 1d height profile [m]
Z: `numpy.ndarray`
2D height profile [m]
t: `numpy.ndarray`
set of dwell times [s]
r_tif: `float`
radius of the tif [m]
Returns
-------
params_opt: `numpy.ndarray`
optmized params
X_fps: `numpy.ndarray`
2D numpy array, x coordinates of footpritns
Y_fps: `numpy.ndarray`
2D numpy array, y coordinates of footpritns
Z_fps: `numpy.ndarray`
2D numpy array, profiles of footprints
X_tif: `numpy.ndarray`
x tif coordinates
Y_tif: `numpy.ndarray`
y tif coordinates
Z_tif: `numpy.ndarray`
averaged tif profiles
'''
n = len(np.atleast_1d(t)) # number of footpritns
pixel_m = np.median(np.diff(X[0, :])) # pixel size
# half window size of tif [pixels]
hf_win_sz = np.round(r_tif / pixel_m).astype(int)
# preallocation of data for fitting
X_fps = np.zeros((hf_win_sz * 2 + 1, hf_win_sz * 2 + 1, n))
Y_fps = np.zeros((hf_win_sz * 2 + 1, hf_win_sz * 2 + 1, n))
Z_fps = np.zeros((hf_win_sz * 2 + 1, hf_win_sz * 2 + 1, n))
# initial guesses of the centers
ux_ini = params_ini[4::2]
uy_ini = params_ini[5::2]
pix_ux_ini = np.round(
(ux_ini - np.nanmin(X[0, :])) / pixel_m).astype(int)
pix_uy_ini = np.round(
(np.nanmax(Y[:, 0]) - uy_ini) / pixel_m).astype(int)
# feed the data into the preallocated data
for i in range(n):
# raw guess according to the data to find the peak
tmp = Z[np.ix_(pix_uy_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int),
pix_ux_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int))]
id_max = np.unravel_index(np.nanargmax(tmp), tmp.shape)
pix_peak_x = pix_ux_ini[i] - hf_win_sz + id_max[1] + 1
pix_peak_y = pix_uy_ini[i] - hf_win_sz + id_max[0] + 1
# feeding the data id_max for each footprint
idy = pix_peak_y + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
idx = pix_peak_x + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
# crop & feed the data
X_fps[:, :, i] = X[np.ix_(idy, idx)]
Y_fps[:, :, i] = Y[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z_fps[:, :, i] - np.nanmin(Z_fps[:, :, i])
# learn the center first
res = least_squares(
cost_func_tif_supergaussian_2d, params_ini,
ftol=1e-15, gtol=1e-15, xtol=1e-15, max_nfev=1e6,
args=(X_fps, Y_fps, Z_fps, t)
)
# learn again using the new centers mu_opt
ux_ini = res.x[4::2]
uy_ini = res.x[5::2]
pix_ux_ini = np.round(
(ux_ini - np.nanmin(X[0, :])) / pixel_m).astype(int)
pix_uy_ini = np.round(
(np.nanmax(Y[:, 0]) - uy_ini) / pixel_m).astype(int)
# feed the data into the preallocated data
for i in range(n):
# raw guess according to the data to find the peak
tmp = Z[np.ix_(pix_uy_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int),
pix_ux_ini[i] + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int))]
id_max = np.unravel_index(np.nanargmax(tmp), tmp.shape)
pix_peak_x = pix_ux_ini[i] - hf_win_sz + id_max[1] + 1
pix_peak_y = pix_uy_ini[i] - hf_win_sz + id_max[0] + 1
# feeding the data id_max for each footprint
idy = pix_peak_y + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
idx = pix_peak_x + np.arange(-hf_win_sz, hf_win_sz + 1, 1, dtype=int)
# crop & feed the data
X_fps[:, :, i] = X[np.ix_(idy, idx)]
Y_fps[:, :, i] = Y[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z[np.ix_(idy, idx)]
Z_fps[:, :, i] = Z_fps[:, :, i] - np.nanmin(Z_fps[:, :, i])
# learn the center first
res = least_squares(
cost_func_tif_supergaussian_2d, params_ini,
ftol=1e-15, gtol=1e-15, xtol=1e-15, max_nfev=1e6,
args=(X_fps, Y_fps, Z_fps, t)
)
Z_tif = np.sum(Z_fps, axis=2) / np.sum(t)
Z_tif[Z_tif < 0] = 0
X_tif, Y_tif = np.meshgrid(
np.arange(-hf_win_sz, hf_win_sz + 1),
np.arange(-hf_win_sz, hf_win_sz + 1)
)
X_tif = X_tif * pixel_m
Y_tif = -Y_tif * pixel_m
return res.x, X_tif, Y_tif, Z_tif, X_fps, Y_fps, Z_fps
def tif_superposedgaussian_2d(X: np.ndarray,
Y: np.ndarray,
t: np.ndarray,
params: np.ndarray) -> np.ndarray:
'''
Retruns a set of two superposed Gaussian functions in 2D.
Parameters
----------
X: `numpy.ndarray`
sets of coordinates [m]
t: `numpy.ndarray`
sets of dwell times [s]
params:`numpy.ndarray`
[0, 1]: PRR [m/s], [2, 3]: sigma [m], [4, ]: centers [m]
'''
# Release the parameters
A = params[0: 2]
sigmax = params[2: 5: 2]
sigmay = params[3: 6: 2]
ux = params[6::2]
uy = params[7::2]
Z = np.zeros_like(X)
for i in range(len(t)):
for j, aj in enumerate(A):
Z[:, :, i] += t[i] * aj * np.exp(-(
(X[:, :, i] - ux[i * 2 + j])**2 / (2 * sigmax[j]**2)
+ (Y[:, :, i] - uy[i * 2 + j])**2 / (2 * sigmay[j]**2))
)
return Z
| 35.27193
| 115
| 0.542589
| 2,458
| 16,084
| 3.357608
| 0.111066
| 0.037562
| 0.052587
| 0.031504
| 0.800315
| 0.791712
| 0.775476
| 0.775476
| 0.769902
| 0.769902
| 0
| 0.025693
| 0.327282
| 16,084
| 455
| 116
| 35.349451
| 0.737061
| 0.38243
| 0
| 0.752525
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.030303
| false
| 0
| 0.010101
| 0
| 0.070707
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
a5c97229b418140e23e6eb1ce877e7f197d3ac1c
| 12,759
|
py
|
Python
|
test-framework/test-suites/integration/tests/set/test_set_host_interface_ip.py
|
knutsonchris/stacki
|
33087dd5fa311984a66ccecfeee6f9c2c25f665d
|
[
"BSD-3-Clause"
] | 123
|
2015-05-12T23:36:45.000Z
|
2017-07-05T23:26:57.000Z
|
test-framework/test-suites/integration/tests/set/test_set_host_interface_ip.py
|
knutsonchris/stacki
|
33087dd5fa311984a66ccecfeee6f9c2c25f665d
|
[
"BSD-3-Clause"
] | 177
|
2015-06-05T19:17:47.000Z
|
2017-07-07T17:57:24.000Z
|
test-framework/test-suites/integration/tests/set/test_set_host_interface_ip.py
|
knutsonchris/stacki
|
33087dd5fa311984a66ccecfeee6f9c2c25f665d
|
[
"BSD-3-Clause"
] | 32
|
2015-06-07T02:25:03.000Z
|
2017-06-23T07:35:35.000Z
|
import json
from textwrap import dedent
class TestSetHostInterfaceIP:
def test_no_hosts(self, host):
result = host.run('stack set host interface ip')
assert result.rc == 255
assert result.stderr == dedent('''\
error - "host" argument is required
{host} {ip=string} [interface=string] [mac=string] [network=string]
''')
def test_no_matching_hosts(self, host):
result = host.run('stack set host interface ip a:test')
assert result.rc == 255
assert result.stderr == dedent('''\
error - "host" argument is required
{host} {ip=string} [interface=string] [mac=string] [network=string]
''')
def test_no_parameters(self, host):
result = host.run('stack set host interface ip frontend-0-0')
assert result.rc == 255
assert result.stderr == dedent('''\
error - "ip" parameter is required
{host} {ip=string} [interface=string] [mac=string] [network=string]
''')
def test_no_selector(self, host):
result = host.run('stack set host interface ip frontend-0-0 ip=127.0.0.1')
assert result.rc == 255
assert result.stderr == dedent('''\
error - "interface" or "mac" or "network" parameter is required
{host} {ip=string} [interface=string] [mac=string] [network=string]
''')
def test_invalid_interface(self, host):
result = host.run('stack set host interface ip frontend-0-0 interface=eth9 ip=127.0.0.1')
assert result.rc == 255
assert result.stderr == 'error - interface "eth9" does not exist for host "frontend-0-0"\n'
def test_invalid_mac(self, host):
result = host.run('stack set host interface ip frontend-0-0 mac=00:11:22:33:44:55 ip=127.0.0.1')
assert result.rc == 255
assert result.stderr == 'error - mac "00:11:22:33:44:55" does not exist for host "frontend-0-0"\n'
def test_invalid_network(self, host):
result = host.run('stack set host interface ip frontend-0-0 network=test ip=127.0.0.1')
assert result.rc == 255
assert result.stderr == 'error - network "test" does not exist for host "frontend-0-0"\n'
def test_invalid_combo(self, host, add_host, add_network):
# Add an interface with an interface and network to our test host
result = host.run('stack add host interface backend-0-0 interface=eth0 network=test')
assert result.rc == 0
# Add a second interface with an interface and a mac to our test host
result = host.run('stack add host interface backend-0-0 interface=eth1 mac=00:11:22:33:44:55')
assert result.rc == 0
# Now try to set the data with a bad combo
result = host.run(
'stack set host interface ip backend-0-0 network=test interface=eth1 ip=127.0.0.1'
)
assert result.rc == 255
assert result.stderr == 'error - combination of "eth1, test" does not exist for host "backend-0-0"\n'
def test_by_network(self, host, add_host, add_network):
# Add an interface with an interface and network to our test host
result = host.run('stack add host interface backend-0-0 interface=eth0 network=test')
assert result.rc == 0
# Set the host IP address
result = host.run('stack set host interface ip backend-0-0 network=test ip=192.168.0.2')
assert result.rc == 0
# Check that it made it into the database
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': 'eth0',
'ip': '192.168.0.2',
'mac': None,
'module': None,
'name': None,
'network': 'test',
'options': None,
'vlan': None
}]
def test_by_interface(self, host, add_host_with_interface):
# Set the host IP address
result = host.run('stack set host interface ip backend-0-0 interface=eth0 ip=192.168.0.2')
assert result.rc == 0
# Check that it made it into the database
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': 'eth0',
'ip': '192.168.0.2',
'mac': None,
'module': None,
'name': None,
'network': None,
'options': None,
'vlan': None
}]
# Now set the ip back to NULL
result = host.run('stack set host interface ip backend-0-0 interface=eth0 ip=null')
assert result.rc == 0
# Did it stick?
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': 'eth0',
'ip': None,
'mac': None,
'module': None,
'name': None,
'network': None,
'options': None,
'vlan': None
}]
def test_by_mac(self, host, add_host):
# Add an interface with a mac to our test host
result = host.run('stack add host interface backend-0-0 mac=00:11:22:33:44:55')
assert result.rc == 0
# Set the host IP address
result = host.run('stack set host interface ip backend-0-0 mac=00:11:22:33:44:55 ip=192.168.0.2')
assert result.rc == 0
# Check that it made it into the database
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': None,
'ip': '192.168.0.2',
'mac': '00:11:22:33:44:55',
'module': None,
'name': None,
'network': None,
'options': None,
'vlan': None
}]
def test_all_parameters(self, host, add_host, add_network):
# Add an interface with an interface, mac, and network to our test host
result = host.run(
'stack add host interface backend-0-0 interface=eth0 '
'mac=00:11:22:33:44:55 network=test'
)
assert result.rc == 0
# Set the host IP address
result = host.run(
'stack set host interface ip backend-0-0 interface=eth0 '
'mac=00:11:22:33:44:55 network=test ip=192.168.0.2'
)
assert result.rc == 0
# Check that it made it into the database
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': 'eth0',
'ip': '192.168.0.2',
'mac': '00:11:22:33:44:55',
'module': None,
'name': None,
'network': 'test',
'options': None,
'vlan': None
}]
def test_by_network_with_auto(self, host, add_host):
# Create a test network with a whole class A block
result = host.run('stack add network test address=10.0.0.0 mask=255.0.0.0 gateway=10.0.0.1')
assert result.rc == 0
# Add another test host whose IP should get skipped
add_host('backend-0-1', '0', '1', 'backend')
# Add an interface with an interface and network to our test hosts
result = host.run('stack add host interface backend-0-0 interface=eth0 network=test')
assert result.rc == 0
result = host.run('stack add host interface backend-0-1 interface=eth0 network=test')
assert result.rc == 0
# Set the IP address on the second test host
result = host.run('stack set host interface ip backend-0-1 network=test ip=10.0.0.2')
assert result.rc == 0
# Set the first test host IP address using AUTO
result = host.run('stack set host interface ip backend-0-0 network=test ip=auto')
assert result.rc == 0
# Check that it made it into the database with the expected IP
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': 'eth0',
'ip': '10.0.0.3',
'mac': None,
'module': None,
'name': None,
'network': 'test',
'options': None,
'vlan': None
}]
def test_by_interface_with_auto(self, host, add_host):
# Create a test network with a whole class A block
result = host.run('stack add network test address=10.0.0.0 mask=255.0.0.0 gateway=10.0.0.1')
assert result.rc == 0
# Add another test host whose IP should get skipped
add_host('backend-0-1', '0', '1', 'backend')
# Add an interface with an interface and network to our test hosts
result = host.run('stack add host interface backend-0-0 interface=eth0 network=test')
assert result.rc == 0
result = host.run('stack add host interface backend-0-1 interface=eth0 network=test')
assert result.rc == 0
# Set the IP address on the second test host
result = host.run('stack set host interface ip backend-0-1 interface=eth0 ip=10.0.0.2')
assert result.rc == 0
# Set the first test host IP address using AUTO
result = host.run('stack set host interface ip backend-0-0 interface=eth0 ip=auto')
assert result.rc == 0
# Check that it made it into the database with the expected IP
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': 'eth0',
'ip': '10.0.0.3',
'mac': None,
'module': None,
'name': None,
'network': 'test',
'options': None,
'vlan': None
}]
def test_by_mac_with_auto(self, host, add_host):
# Create a test network with a whole class A block
result = host.run('stack add network test address=10.0.0.0 mask=255.0.0.0 gateway=10.0.0.1')
assert result.rc == 0
# Add another test host whose IP should get skipped
add_host('backend-0-1', '0', '1', 'backend')
# Add an interface with a mac and network to our first test host
result = host.run('stack add host interface backend-0-0 mac=00:11:22:33:44:55 network=test')
assert result.rc == 0
# Add an interface with a different mac to our second test host
result = host.run('stack add host interface backend-0-1 mac=AA:BB:CC:DD:EE:FF network=test')
assert result.rc == 0
# Set the IP address on the second test host
result = host.run('stack set host interface ip backend-0-1 mac=AA:BB:CC:DD:EE:FF ip=10.0.0.2')
assert result.rc == 0
# Set the first test host IP address using AUTO
result = host.run('stack set host interface ip backend-0-0 mac=00:11:22:33:44:55 ip=auto')
assert result.rc == 0
# Check that it made it into the database with the expected IP
result = host.run('stack list host interface backend-0-0 output-format=json')
assert result.rc == 0
assert json.loads(result.stdout) == [{
'channel': None,
'default': None,
'host': 'backend-0-0',
'interface': None,
'ip': '10.0.0.3',
'mac': '00:11:22:33:44:55',
'module': None,
'name': None,
'network': 'test',
'options': None,
'vlan': None
}]
def test_auto_without_network(self, host, add_host):
# Create a test network with a whole class A block
result = host.run('stack add network test address=10.0.0.0 mask=255.0.0.0 gateway=10.0.0.1')
assert result.rc == 0
# Add an interface with an interface but without a network to our test host
result = host.run('stack add host interface backend-0-0 interface=eth0')
assert result.rc == 0
# Try to set the host IP address using AUTO
result = host.run('stack set host interface ip backend-0-0 interface=eth0 ip=auto')
assert result.rc == 255
assert result.stderr == 'error - unknown network for interface\n'
def test_auto_no_more_ips(self, host, add_host):
# Create a very small test network
result = host.run('stack add network test address=192.168.0.0 mask=255.255.255.252 gateway=192.168.0.1')
assert result.rc == 0
# Add another test host whose IP should get skipped
add_host('backend-0-1', '0', '1', 'backend')
# Add an interface with an interface device and network to our test hosts
result = host.run('stack add host interface backend-0-0 interface=eth0 network=test')
assert result.rc == 0
result = host.run('stack add host interface backend-0-1 interface=eth0 network=test')
assert result.rc == 0
# Set the IP address on the second test host, which is the last available
result = host.run('stack set host interface ip backend-0-1 interface=eth0 ip=192.168.0.2')
assert result.rc == 0
# Set the first test host IP address using AUTO, which should throw an error
result = host.run('stack set host interface ip backend-0-0 interface=eth0 ip=auto')
assert result.rc == 255
assert result.stderr == 'error - no free ip addresses left in the network\n'
def test_multiple_hosts(self, host, add_host):
# Add a second test backend
add_host('backend-0-1', '0', '1', 'backend')
# Try to set the ip on multiple hosts
result = host.run('stack set host interface ip backend-0-0 backend-0-1 ip=192.168.0.1')
assert result.rc == 255
assert result.stderr == dedent('''\
error - "host" argument must be unique
{host} {ip=string} [interface=string] [mac=string] [network=string]
''')
| 34.860656
| 106
| 0.677483
| 2,113
| 12,759
| 4.059158
| 0.06815
| 0.018421
| 0.075784
| 0.104932
| 0.916521
| 0.901947
| 0.891804
| 0.887606
| 0.875364
| 0.864288
| 0
| 0.058614
| 0.185673
| 12,759
| 365
| 107
| 34.956164
| 0.766891
| 0.17086
| 0
| 0.761364
| 0
| 0.113636
| 0.475268
| 0.019937
| 0
| 0
| 0
| 0
| 0.261364
| 1
| 0.068182
| false
| 0
| 0.007576
| 0
| 0.079545
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| null | 0
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| 1
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| 1
| 1
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| null | 0
| 0
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| 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
574483b8958e2e441252ce9edd425e2ed5150b77
| 182
|
py
|
Python
|
2- Django Rest Accounts/1- Login/serializers.py
|
4yub1k/django-snippets
|
33a47cca3b5354ee282dd17ecca632fb1995fda2
|
[
"MIT"
] | null | null | null |
2- Django Rest Accounts/1- Login/serializers.py
|
4yub1k/django-snippets
|
33a47cca3b5354ee282dd17ecca632fb1995fda2
|
[
"MIT"
] | null | null | null |
2- Django Rest Accounts/1- Login/serializers.py
|
4yub1k/django-snippets
|
33a47cca3b5354ee282dd17ecca632fb1995fda2
|
[
"MIT"
] | null | null | null |
class LoginSerializer(serializers.Serializer):
username = serializers.CharField(max_length=25, required=True)
password = serializers.CharField(max_length=128, required=True)
| 45.5
| 67
| 0.802198
| 20
| 182
| 7.2
| 0.65
| 0.277778
| 0.319444
| 0.402778
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.030488
| 0.098901
| 182
| 3
| 68
| 60.666667
| 0.847561
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| false
| 0.333333
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|
0
| 7
|
574ccfecff38810f6ac4d1bc16f0dc56278527f3
| 8,226
|
py
|
Python
|
app/routes.py
|
CodeConfidant/flask-auth
|
ee714070d088d1320728bafb3b191655cc49f032
|
[
"MIT"
] | null | null | null |
app/routes.py
|
CodeConfidant/flask-auth
|
ee714070d088d1320728bafb3b191655cc49f032
|
[
"MIT"
] | 1
|
2021-03-20T16:19:30.000Z
|
2021-03-20T16:19:30.000Z
|
app/routes.py
|
CodeConfidant/flask-auth
|
ee714070d088d1320728bafb3b191655cc49f032
|
[
"MIT"
] | null | null | null |
from passlib.hash import sha512_crypt
from connectwrap import db
from pydate import DateTime
from flask import render_template, url_for, request, redirect, flash
from app import app
from app.forms import LoginForm, RegisterForm
user_db = db("app/users.db", "Users"); user_db.close_db()
@app.route('/')
@app.route('/index')
def index():
return render_template('index.html', title='Home')
@app.route('/login', methods=['GET', 'POST'])
def login():
return render_template('login.html', title='Sign In', form=LoginForm())
@app.route('/register', methods=['GET', 'POST'])
def register():
return render_template('register.html', title='Register', form=RegisterForm())
@app.route('/register_user', methods=['GET', 'POST'])
def register_user():
if (request.method == 'POST'):
email = request.form['email']
username = request.form['username']
password = request.form['password']
account_type = "Standard"
user_db.open_db()
if (user_db.get_row("Email", email) == None and user_db.get_row("Username", username) == None):
last_updated = DateTime()
last_updated.set_UTC()
user_db.insert_row(email, username, sha512_crypt.hash(password + last_updated.tostring()), account_type, last_updated.tostring())
user_db.close_db()
flash(str("Account Created! Welcome {0}!").format(username))
return render_template("account.html", title='Account', email=email, username=username, type=account_type)
else:
user_db.close_db()
flash("Account registration failed! An account with that Email and/or Username already exists!")
return redirect(url_for('register'))
@app.route('/login_user', methods=['GET', 'POST'])
def login_user():
if (request.method == 'POST'):
username = request.form['username']
password = request.form['password']
user_db.open_db()
row = user_db.get_row("Username", username)
try:
if (row["Username"] == username and sha512_crypt.verify(password + row["LastUpdated"], row["Password"]) == True and row["Type"] != "Admin"):
user_db.close_db()
flash(str("Welcome User {0}!").format(username))
return render_template("account.html", title='Account', email=row["Email"], username=row["Username"], type=row["Type"])
elif (row["Username"] == username and sha512_crypt.verify(password + row["LastUpdated"], row["Password"]) == True and row["Type"] == "Admin"):
users = user_db.get_table()
user_db.close_db()
flash(str("Welcome Admin {0}!").format(username))
return render_template("admin.html", title='Admin Account', email=row["Email"], username=row["Username"], type=row["Type"], users=users)
else:
user_db.close_db()
flash("Login failed! Either the Username or Password was incorrect!")
return redirect(url_for('login'))
except:
user_db.close_db()
flash("Login failed! Either the Username or Password was incorrect!")
return redirect(url_for('login'))
@app.route('/del_user', methods=['GET', 'POST'])
def del_user():
if (request.method == 'POST'):
username = request.form['username']
user_db.open_db()
row = user_db.get_row("Username", username)
if (row["Type"] == "Admin"):
users = user_db.get_table()
user_db.close_db()
flash("Error! Can't delete an Admin account!")
return render_template("admin.html", title='Admin Account', email=row["Email"], username=row["Username"], type=row["Type"], users=users)
else:
user_db.drop_row("Username", username)
user_db.close_db()
flash(str("User {0} successfully deleted!").format(username))
return render_template("index.html", title='Home')
@app.route('/change_password', methods = ['POST', 'GET'])
def change_password():
if (request.method == 'POST'):
username = request.form['username']
password = request.form['password']
new_password = request.form['new_password']
last_updated = DateTime()
last_updated.set_UTC()
user_db.open_db()
row = user_db.get_row("Username", username)
try:
if (row != None and row["Username"] == username and sha512_crypt.verify(password + row["LastUpdated"], row["Password"]) == True and row["Type"] != "Admin"):
user_db.update_row("Password", sha512_crypt.hash(new_password + last_updated.tostring()), "Username", username)
user_db.update_row("LastUpdated", last_updated.tostring(), "Username", username)
user_db.close_db()
flash("Password changed successfully!")
return render_template("account.html", title='Account', email=row["Email"], username=row["Username"], type=row["Type"])
elif (row != None and row["Username"] == username and sha512_crypt.verify(password + row["LastUpdated"], row["Password"]) == True and row["Type"] == "Admin"):
user_db.update_row("Password", sha512_crypt.hash(new_password + last_updated.tostring()), "Username", username)
user_db.update_row("LastUpdated", last_updated.tostring(), "Username", username)
users = user_db.get_table()
user_db.close_db()
flash("Password changed successfully!")
return render_template("admin.html", title='Admin Account', email=row["Email"], username=row["Username"], type=row["Type"], users=users)
else:
user_db.close_db()
flash("Password change failed! The current password provided is incorrect! Please login with the correct password!")
return redirect(url_for('login'))
except:
user_db.close_db()
flash("Password change failed! The current password provided is incorrect! Please login with the correct password!")
return redirect(url_for('login'))
@app.route('/change_username', methods = ['POST', 'GET'])
def change_username():
if (request.method == 'POST'):
username = request.form['username']
new_username = request.form['new_username']
user_db.open_db()
if (user_db.get_row("Username", new_username) == None and user_db.get_row("Username", username)["Type"] != "Admin"):
user_db.update_row("Username", new_username, "Username", username)
row = user_db.get_row("Username", new_username)
user_db.close_db()
flash("Username changed successfully!")
return render_template("account.html", title='Account', email=row["Email"], username=row["Username"], type=row["Type"])
elif (user_db.get_row("Username", new_username) == None and user_db.get_row("Username", username)["Type"] == "Admin"):
user_db.update_row("Username", new_username, "Username", username)
row = user_db.get_row("Username", new_username)
users = user_db.get_table()
user_db.close_db()
flash("Username changed successfully!")
return render_template("admin.html", title='Admin Account', email=row["Email"], username=row["Username"], type=row["Type"], users=users)
elif (user_db.get_row("Username", new_username) != None and user_db.get_row("Username", username)["Type"] == "Admin"):
row = user_db.get_row("Username", username)
users = user_db.get_table()
user_db.close_db()
flash("Username change failed! That username already exists!")
return render_template("admin.html", title='Admin Account', email=row["Email"], username=row["Username"], type=row["Type"], users=users)
else:
row = user_db.get_row("Username", username)
user_db.close_db()
flash("Username change failed! That username already exists!")
return render_template("account.html", title='Account', email=row["Email"], username=row["Username"], type=row["Type"])
| 53.764706
| 170
| 0.621809
| 983
| 8,226
| 5.032553
| 0.102747
| 0.061856
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| 0.044674
| 0.818072
| 0.774813
| 0.762482
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| 0.655347
| 0
| 0.004409
| 0.227936
| 8,226
| 153
| 171
| 53.764706
| 0.774524
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| 0.633094
| 0
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| 0
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| 1
| 0.057554
| false
| 0.143885
| 0.043165
| 0.021583
| 0.23741
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| null | 0
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|
0
| 7
|
93b2c23444576283bb2bbc87ee487199f1b7a4ff
| 60,054
|
py
|
Python
|
pyuppaal/tests/ulp/test_basic.py
|
sen-uni-kn/tartar
|
5148f8737ab39c09aa0ca4907b1af7c44cf8b8a0
|
[
"MIT"
] | null | null | null |
pyuppaal/tests/ulp/test_basic.py
|
sen-uni-kn/tartar
|
5148f8737ab39c09aa0ca4907b1af7c44cf8b8a0
|
[
"MIT"
] | null | null | null |
pyuppaal/tests/ulp/test_basic.py
|
sen-uni-kn/tartar
|
5148f8737ab39c09aa0ca4907b1af7c44cf8b8a0
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
import sys
import os
import unittest
from pyuppaal.ulp import lexer, parser, expressionParser, node
from pyuppaal.ulp.systemdec_parser import SystemDeclarationParser
class TestBasicParsing(unittest.TestCase):
def test_comment_last_line(self):
lex = lexer.lexer
declaration = '// comment'
pars = parser.Parser(declaration, lex)
def test_error_upc_raise_exception(self):
lex = lexer.lexer
declaration = 'foo' #illegal statement
self.assertRaises(Exception, parser.Parser, declaration, lex)
def test_error_system_decl_raise_exception(self):
declaration = 'foo' #illegal statement
self.assertRaises(Exception, SystemDeclarationParser, declaration)
def test_init_array(self):
lex = lexer.lexer
declaration = 'int myArray[10] = { 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 };'
pars = parser.Parser(declaration, lex)
def test_parse_declarations(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_simple_declarations.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
#pars.AST.visit()
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
#print map(tuple, declvisitor.variables)
#before declvisitor rewrite not all clocks were stored in variables
#self.assertEqual(map(tuple, declvisitor.variables), [('a', 'TypeInt', [], None), ('b', 'TypeBool', [], None), ('b1', 'TypeBool', [], None), ('b2', 'TypeBool', [], None)])
self.assertEqual(map(tuple, declvisitor.variables), [('a', 'TypeInt', [], None), ('b', 'TypeBool', [], None), ('b1', 'TypeBool', [], None), ('b2', 'TypeBool', [], None), ('c', 'TypeClock', [], None)])
self.assertEqual(len(declvisitor.clocks), 1)
self.assertEqual(declvisitor.clocks[0][0], 'c')
self.assertEqual(declvisitor.channels, [('d', [])])
self.assertEqual(declvisitor.urgent_channels, [('e', [])])
self.assertEqual(declvisitor.broadcast_channels, [('f', [])])
self.assertEqual(declvisitor.urgent_broadcast_channels, [('g', [])])
def test_parse_declarations2(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_simple_declarations2.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
self.assertEqual(len(declvisitor.variables), 10)
self.assertTrue(('L', 'TypeInt', [], None) in map(tuple, declvisitor.variables))
self.assertTrue(('time', 'TypeClock', [], None) in map(tuple, declvisitor.variables))
self.assertTrue(('y1', 'TypeClock', [], None) in map(tuple, declvisitor.variables))
self.assertTrue(('y2', 'TypeClock', [], None) in map(tuple, declvisitor.variables))
self.assertTrue(('y3', 'TypeClock', [], None) in map(tuple, declvisitor.variables))
self.assertTrue(('y4', 'TypeClock', [], None) in map(tuple, declvisitor.variables))
#TODO test complex vaiables as well
# ('lalala', 'TypeInt', [], node.Node('Expression', [node.Node('Number', [], 3)], [])) ])
# ('msg', 'TypeBool', node.Node('IndexList',
# [node.Node('Index', [], node.Node('Expression', [node.Node('Identifier', ['N'], None)], [])),
# node.Node('Index', [], node.Node('Expression', [node.Node('Identifier', ['N'], None)], []))], None), None),
# ('lock', 'TypeBool', [], node.Node('Expression', [node.Node('False', [], [])], [])),
#('lock2', 'TypeBool', [], node.Node('Expression', [node.Node('True', [], [])], []))] )
self.assertEqual(declvisitor.clocks, [('time', 10), ('y1', 10), ('y2', 10), ('y3', 10), ('y4', 10)])
self.assertEqual(declvisitor.channels, [('take', []), ('release', [])])
inorder = ["fastest", "fast", "slow", "slowest", "N"]
self.assertEqual(declvisitor.constants.keys(), inorder)
def test_parse_empty_query(self):
lex = lexer.lexer
pars = parser.Parser("", lex)
self.assertEqual(len(pars.AST.children), 0)
def test_parse_array(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_array.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 7) #TODO add more asserts
res = pars.AST.children
self.assertEqual(res[0].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[1].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[2].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[3].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[4].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[6].children[0].children[0].leaf.type, "IndexList")
indexlist = res[6].children[0].children[0].leaf
self.assertEqual(len(indexlist.children), 2)
indexlist.visit()
self.assertEqual(indexlist.children[0].type, "Index")
self.assertEqual(indexlist.children[1].type, "Index")
def test_struct(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_struct.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 1) #TODO add more asserts
def test_struct_initializer(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_struct_initializer.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
pars.AST.visit()
self.assertEqual(len(pars.AST.children), 4)
vardecl = pars.AST.children[3]
self.assertEqual(vardecl.type, "VarDeclList")
initializer = vardecl.children[0].leaf
self.assertEqual(initializer.type, "Initializer")
self.assertEqual(len(initializer.children), 3)
init1 = initializer.children[0]
self.assertEqual(init1.type, "Initializer")
self.assertEqual(len(init1.children), 3)
self.assertEqual(init1.children[0].type, "Number")
self.assertEqual(init1.children[0].leaf, 0)
self.assertEqual(init1.children[1].type, "Identifier")
self.assertEqual(init1.children[1].children[0], "DORMANT")
self.assertEqual(init1.children[2].type, "Number")
self.assertEqual(init1.children[2].leaf, 0)
def test_parse_typedef_simple(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_typedef_simple.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
pars.AST.visit()
self.assertEqual(len(pars.AST.children), 4)
self.assertEqual(pars.AST.type, "RootNode")
self.assertEqual(pars.AST.children[0].type, "NodeTypedef")
self.assertEqual(pars.AST.children[0].leaf, "id_t")
self.assertEqual(pars.AST.children[0].children[0].type, "TypeInt")
self.assertEqual(pars.AST.children[1].type, "NodeTypedef")
self.assertEqual(pars.AST.children[1].leaf, "id_t")
self.assertEqual(pars.AST.children[1].children[0].type, "TypeInt")
self.assertEqual(pars.AST.children[1].children[0].children[0].type, "Expression")
self.assertEqual(pars.AST.children[1].children[0].children[0].children[0].leaf, 0)
self.assertEqual(pars.AST.children[1].children[0].children[1].type, "Expression")
self.assertEqual(pars.AST.children[1].children[0].children[1].children[0].leaf, 4)
self.assertEqual(pars.AST.children[2].type, "NodeTypedef")
self.assertEqual(pars.AST.children[2].leaf, "id_t")
self.assertEqual(pars.AST.children[2].children[0].type, "TypeInt")
self.assertEqual(pars.AST.children[2].children[0].children[0].type, "Expression")
self.assertEqual(pars.AST.children[2].children[0].children[1].type, "Expression")
self.assertEqual(pars.AST.children[2].children[0].children[1].children[0].leaf, 4)
self.assertEqual(pars.AST.children[2].type, "NodeTypedef")
self.assertEqual(pars.AST.children[2].leaf, "id_t")
self.assertEqual(pars.AST.children[2].children[0].type, "TypeInt")
self.assertEqual(pars.AST.children[2].children[0].children[0].type, "Expression")
self.assertEqual(pars.AST.children[2].children[0].children[1].type, "Expression")
self.assertEqual(pars.AST.children[2].children[0].children[1].children[0].leaf, 4)
self.assertEqual(len(pars.typedefDict), 1)
self.assertTrue('id_t' in pars.typedefDict)
def test_parse_typedef(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_typedef.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
#pars.AST.visit()
#self.assertEqual(len(pars.AST.children), 8)
self.assertEqual(len(pars.typedefDict), 4)
self.assertTrue('myStructType' in pars.typedefDict)
self.assertTrue('adr' in pars.typedefDict)
self.assertTrue('DBMClock' in pars.typedefDict)
self.assertTrue('clock' in pars.typedefDict)
ctype = pars.typedefDict['clock']
self.assertEqual(ctype.type, 'NodeTypedef')
self.assertEqual(ctype.leaf, 'DBMClock')
self.assertEqual(len(ctype.children), 1)
self.assertEqual(ctype.children[0], pars.typedefDict['DBMClock'])
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
#XXX parses to deeply into structs!
self.assertEqual(len(declvisitor.variables), 4)
#pars.AST.visit()
print "variables", map(tuple, declvisitor.variables)
varnames = [x for (x, _, _, _) in declvisitor.variables]
self.assertTrue('m' in varnames)
self.assertTrue(('m', 'myStructType', [], None) in map(tuple, declvisitor.variables))
self.assertTrue('n' in varnames)
self.assertTrue(('n', 'adr', [], None) in map(tuple, declvisitor.variables))
self.assertTrue('n2' in varnames)
#check ranges inherited from typedef
print "type", declvisitor.get_vardecl('n').vartype
self.assertEqual(declvisitor.get_vardecl('n').basic_type, "TypeInt")
self.assertEqual(declvisitor.get_vardecl('n').range_min.type, "Number")
self.assertEqual(declvisitor.get_vardecl('n').range_min.leaf, 1)
self.assertEqual(declvisitor.get_vardecl('n').range_max.type, "Number")
self.assertEqual(declvisitor.get_vardecl('n').range_max.leaf, 3)
for (x, _, _, initval) in declvisitor.variables:
if x == "n2":
self.assertEqual(initval.type, "Expression")
self.assertEqual(initval.children[0].type, "Number")
self.assertEqual(initval.children[0].leaf, 3)
self.assertTrue('c' in varnames)
self.assertTrue(('c', 'DBMClock', [], None) in map(tuple, declvisitor.variables))
#XXX parses to deeply into structs!
#self.assertFalse('a' in varnames)
def test_parse_typedef_clock(self):
lex = lexer.lexer
declaration = 'typedef clock rtclock;'
with self.assertRaises(Exception) as context:
parser.Parser(declaration, lex)
self.assertEqual(context.exception.message, 'Currently, we do not allow adding new clock types, e.g., typedef clock rtclock')
def test_parse_brackets(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_brackets.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
def test_comments(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_comments.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(pars.AST.type, "RootNode")
self.assertEqual(pars.AST.children[0].type, "VarDeclList")
self.assertEqual(pars.AST.children[1].type, "Function")
self.assertEqual(pars.AST.children[1].children[0].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[0].children[0].type, "Expression")
self.assertEqual(pars.AST.children[1].children[0].children[0].children[0].type, "Divide")
self.assertEqual(len(pars.AST.children), 2)
def test_operators(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_operators.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(pars.AST.type, "RootNode")
self.assertEqual(pars.AST.children[0].type, "VarDeclList")
self.assertEqual(pars.AST.children[1].type, "Function")
self.assertEqual(pars.AST.children[1].children[0].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[0].children[0].type, "Expression")
self.assertEqual(pars.AST.children[1].children[0].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[1].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[1].children[0].type, "Expression")
self.assertEqual(pars.AST.children[1].children[1].children[0].children[0].type, "Minus")
self.assertEqual(pars.AST.children[1].children[2].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[2].children[0].children[0].type, "Times")
self.assertEqual(pars.AST.children[1].children[3].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[3].children[0].children[0].type, "Divide")
self.assertEqual(pars.AST.children[1].children[4].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[4].children[0].children[0].type, "UnaryMinus")
self.assertEqual(pars.AST.children[1].children[5].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[5].children[0].children[0].type, "Minus")
self.assertEqual(pars.AST.children[1].children[5].children[0].children[0].children[0].type, "UnaryMinus")
self.assertEqual(pars.AST.children[1].children[6].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[6].children[0].children[0].type, "Minus")
self.assertEqual(pars.AST.children[1].children[6].children[0].children[0].children[0].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[1].children[7].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[7].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[7].children[0].children[0].children[0].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[1].children[8].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[8].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[8].children[0].children[0].children[0].type, "PlusPlusPre")
self.assertEqual(pars.AST.children[1].children[9].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[9].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[9].children[0].children[0].children[0].type, "PlusPlusPre")
self.assertEqual(pars.AST.children[1].children[9].children[0].children[0].children[1].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[1].children[10].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[10].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[10].children[0].children[0].children[0].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[1].children[10].children[0].children[0].children[1].type, "PlusPlusPre")
self.assertEqual(pars.AST.children[1].children[11].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[11].children[0].children[0].type, "Minus")
self.assertEqual(pars.AST.children[1].children[11].children[0].children[0].children[0].type, "MinusMinusPost")
self.assertEqual(pars.AST.children[1].children[12].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[12].children[0].children[0].type, "Minus")
self.assertEqual(pars.AST.children[1].children[12].children[0].children[0].children[0].type, "MinusMinusPost")
self.assertEqual(pars.AST.children[1].children[12].children[0].children[0].children[1].type, "MinusMinusPre")
self.assertEqual(pars.AST.children[1].children[13].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[13].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[13].children[0].children[0].children[0].type, "MinusMinusPost")
self.assertEqual(pars.AST.children[1].children[14].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[14].children[0].children[0].type, "Plus")
self.assertEqual(pars.AST.children[1].children[14].children[0].children[0].children[0].type, "MinusMinusPre")
self.assertEqual(pars.AST.children[1].children[15].type, "Assignment")
self.assertEqual(pars.AST.children[1].children[15].children[0].children[0].type, "Modulo")
self.assertEqual(pars.AST.children[1].children[15].children[0].children[0].children[0].type, "Identifier")
self.assertEqual(pars.AST.children[1].children[15].children[0].children[0].children[0].children[0], "a")
self.assertEqual(pars.AST.children[1].children[15].children[0].children[0].children[1].type, "Identifier")
self.assertEqual(pars.AST.children[1].children[15].children[0].children[0].children[1].children[0], "a")
#TODO add more operators pars.AST.visit()
self.assertEqual(len(pars.AST.children), 2)
def test_parse_assignments(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_assignments.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(pars.AST.type, "RootNode")
self.assertEqual(pars.AST.children[0].type, "VarDeclList")
self.assertEqual(pars.AST.children[1].type, "VarDeclList")
self.assertEqual(pars.AST.children[2].type, "Function")
self.assertEqual(pars.AST.children[2].children[0].type, "Assignment")
self.assertEqual(pars.AST.children[2].children[0].children[0].type, "Expression")
self.assertEqual(pars.AST.children[2].children[0].children[0].children[0].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[2].children[1].type, "Assignment")
self.assertEqual(pars.AST.children[2].children[1].children[0].type, "Expression")
self.assertEqual(pars.AST.children[2].children[1].children[0].children[0].type, "PlusPlusPre")
self.assertEqual(pars.AST.children[2].children[2].type, "Assignment")
self.assertEqual(pars.AST.children[2].children[2].children[0].type, "Expression")
self.assertEqual(pars.AST.children[2].children[2].children[0].children[0].type, "MinusMinusPre")
self.assertEqual(pars.AST.children[2].children[3].type, "Assignment")
self.assertEqual(pars.AST.children[2].children[3].children[0].children[0].type, "Times")
self.assertEqual(pars.AST.children[2].children[3].children[0].children[0].children[0].type, "PlusPlusPre")
self.assertEqual(pars.AST.children[2].children[3].children[0].children[0].children[1].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[2].children[4].type, "Assignment")
self.assertEqual(pars.AST.children[2].children[4].children[0].children[0].type, "Times")
self.assertEqual(pars.AST.children[2].children[4].children[0].children[0].children[0].type, "Times")
self.assertEqual(pars.AST.children[2].children[4].children[0]. \
children[0].children[0].children[0].type, "PlusPlusPre")
self.assertEqual(pars.AST.children[2].children[4].children[0]. \
children[0].children[0].children[1].type, "PlusPlusPost")
self.assertEqual(pars.AST.children[2].children[4].children[0]. \
children[0].children[0].children[1].type, "PlusPlusPost")
self.assertEqual(len(pars.AST.children), 3)
def test_parse_for_loop(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_for_loop.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 1) #TODO add more asserts
def test_parse_while_loop(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_while_loop.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 1) #TODO add more asserts
def test_parse_while_loop_nobraces(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_while_loop_nobraces.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 1) #TODO add more asserts
def test_parse_do_while_loop(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_do_while_loop.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 1) #TODO add more asserts
def test_parse_simple_function(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_simple_function.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 4) #TODO add more asserts
def test_parse_function_ref_arg(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_function_ref_arg.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
self.assertEqual(len(pars.AST.children), 1) #TODO add more asserts
def test_parse_expression(self):
parser = expressionParser
res = parser.parse_expression("")
#should not fail
self.assertFalse(res)
res = parser.parse_expression(" ")
#should not fail
self.assertFalse(res)
res = parser.parse_expression("5")
self.assertEqual(res.type, "Number")
self.assertEqual(res.leaf, 5)
res = parser.parse_expression("5 > 5")
self.assertEqual(res.type, "Greater")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 5)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 5)
res = parser.parse_expression("5 != 5")
#res.visit()
self.assertEqual(res.type, "NotEqual")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 5)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 5)
res = parser.parse_expression("!True")
self.assertEqual(res.type, "UnaryNot")
self.assertEqual(res.children[0].type, 'True')
res = parser.parse_expression("5 && 4")
self.assertEqual(res.type, "And")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 5)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 4)
res = parser.parse_expression("5 and 4")
res.visit()
self.assertEqual(res.type, "And")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 5)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 4)
res = parser.parse_expression("!(5 && 4)")
self.assertEqual(res.type, "UnaryNot")
self.assertEqual(res.children[0].type, "And")
self.assertEqual(res.children[0].children[0].type, "Number")
self.assertEqual(res.children[0].children[0].leaf, 5)
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 4)
res = parser.parse_expression("not (5 && 4)")
self.assertEqual(res.type, "UnaryNot")
self.assertEqual(res.children[0].type, "And")
self.assertEqual(res.children[0].children[0].type, "Number")
self.assertEqual(res.children[0].children[0].leaf, 5)
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 4)
res = parser.parse_expression("5 || 4")
self.assertEqual(res.type, "Or")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 5)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 4)
res = parser.parse_expression("5 or 4")
self.assertEqual(res.type, "Or")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 5)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 4)
res = parser.parse_expression("5 < 5 and 4 > 3")
self.assertEqual(res.type, "And")
self.assertEqual(res.children[0].type, "Less")
self.assertEqual(res.children[0].children[0].type, "Number")
self.assertEqual(res.children[0].children[0].leaf, 5)
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 5)
res = parser.parse_expression("3 * 2 + 4")
self.assertEqual(res.type, "Plus")
self.assertEqual(res.children[0].type, "Times")
self.assertEqual(res.children[0].children[0].type, "Number")
self.assertEqual(res.children[0].children[0].leaf, 3)
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 2)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 4)
res = parser.parse_expression("Viking1.safe and Viking2.safe") #TODO add struct support
self.assertEqual(res.type, "And")
self.assertEqual(res.children[0].type, "Identifier")
print res.children[0]
self.assertEqual(res.children[0].children[0], "Viking1")
self.assertEqual(res.children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[1].children[0], "safe")
self.assertEqual(res.children[1].type, "Identifier")
self.assertEqual(res.children[1].children[0], "Viking2")
self.assertEqual(res.children[1].children[1].type, "Identifier")
self.assertEqual(res.children[1].children[1].children[0], "safe")
res = parser.parse_expression(
"Viking1.safe and Viking2.safe and Viking3.safe and Viking4.safe")
self.assertEqual(res.type, "And")
self.assertEqual(res.children[0].type, "And")
self.assertEqual(res.children[1].type, "Identifier")
self.assertEqual(res.children[1].children[0], "Viking4")
self.assertEqual(res.children[1].children[1].type, "Identifier")
self.assertEqual(res.children[1].children[1].children[0], "safe")
self.assertEqual(res.children[0].children[0].type, "And")
self.assertEqual(res.children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[1].children[0], "Viking3")
self.assertEqual(res.children[0].children[1].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[1].children[1].children[0], "safe")
self.assertEqual(res.children[0].children[0].children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0].children[0], "Viking1")
self.assertEqual(res.children[0].children[0].children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0].children[1].children[0], "safe")
self.assertEqual(res.children[0].children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[1].children[0], "Viking2")
self.assertEqual(res.children[0].children[0].children[1].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[1].children[1].children[0], "safe")
res = parser.parse_expression("N - 1")
self.assertEqual(res.type, "Minus")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], 'N')
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 1)
res = parser.parse_expression("f() == 2")
self.assertEqual(res.type, "Equal")
self.assertEqual(res.children[0].type, "FunctionCall")
self.assertEqual(res.children[0].children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0], "f")
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 2)
res = parser.parse_expression("dbm.isEmpty()")
self.assertEqual(res.type, "FunctionCall")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], "dbm")
self.assertEqual(res.children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[1].children[0], "isEmpty")
res = parser.parse_expression("a[42]")
res.visit()
self.assertEqual(res.type, "Identifier")
self.assertEqual(res.strname, "a")
indexList = res.indexList
self.assertEqual(indexList.type, "IndexList")
self.assertEqual(len(indexList.children), 1)
self.assertEqual(indexList.children[0].type, "Index")
self.assertEqual(indexList.children[0].leaf.type, "Number")
self.assertEqual(indexList.children[0].leaf.leaf, 42)
self.assertEqual(res.dotchild, None)
def test_parse_expression2(self):
parser = expressionParser
res = parser.parse_expression("(N - 0 - 1)")
self.assertEqual(res.type, "Minus")
self.assertEqual(res.children[0].type, "Minus")
self.assertEqual(res.children[0].children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0], 'N')
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 0)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 1)
res = parser.parse_expression("-42")
self.assertEqual(res.type, "UnaryMinus")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 42)
res = parser.parse_expression("-(42+1)")
self.assertEqual(res.type, "UnaryMinus")
self.assertEqual(res.children[0].type, "Plus")
self.assertEqual(res.children[0].children[0].type, "Number")
self.assertEqual(res.children[0].children[0].leaf, 42)
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 1)
res = parser.parse_expression("N- 0- 1")
self.assertEqual(res.type, "Minus")
self.assertEqual(res.children[0].type, "Minus")
self.assertEqual(res.children[0].children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0], 'N')
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 0)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 1)
res = parser.parse_expression("N-0-1")
self.assertEqual(res.type, "Minus")
self.assertEqual(res.children[0].type, "Minus")
self.assertEqual(res.children[0].children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0], 'N')
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 0)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 1)
res = parser.parse_expression("(x == 5 && y == 4)")
self.assertEqual(res.type, "And")
self.assertEqual(res.children[0].type, "Equal")
self.assertEqual(res.children[0].children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0].children[0], 'x')
self.assertEqual(res.children[0].children[1].type, "Number")
self.assertEqual(res.children[0].children[1].leaf, 5)
self.assertEqual(res.children[1].children[0].type, "Identifier")
self.assertEqual(res.children[1].children[0].children[0], 'y')
self.assertEqual(res.children[1].children[1].type, "Number")
self.assertEqual(res.children[1].children[1].leaf, 4)
res = parser.parse_expression("True")
self.assertEqual(res.type, "True")
res = parser.parse_expression("true")
res.visit()
self.assertEqual(res.type, "True")
res = parser.parse_expression("x[0][1] == True")
self.assertEqual(res.type, "Equal")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], 'x')
self.assertEqual(res.children[0].leaf.type, "IndexList")
self.assertEqual(res.children[0].leaf.children[0].type, "Index")
self.assertEqual(res.children[0].leaf.children[0].leaf.type, 'Number')
self.assertEqual(res.children[0].leaf.children[0].leaf.leaf, 0)
self.assertEqual(res.children[0].leaf.children[1].type, "Index")
self.assertEqual(res.children[0].leaf.children[1].leaf.type, 'Number')
self.assertEqual(res.children[0].leaf.children[1].leaf.leaf, 1)
self.assertEqual(res.children[1].type, "True")
res = parser.parse_expression("msg[ 0 ][ N - 0 - 1 ] == True")
self.assertEqual(res.type, "Equal")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], 'msg')
self.assertEqual(res.children[0].leaf.type, "IndexList")
self.assertEqual(res.children[0].leaf.children[0].type, "Index")
self.assertEqual(res.children[0].leaf.children[0].leaf.type, 'Number')
self.assertEqual(res.children[0].leaf.children[0].leaf.leaf, 0)
self.assertEqual(res.children[0].leaf.children[1].type, "Index")
index2 = res.children[0].leaf.children[1].leaf
self.assertEqual(index2.type, 'Minus')
self.assertEqual(index2.children[0].type, 'Minus')
self.assertEqual(index2.children[0].children[0].type, 'Identifier')
self.assertEqual(index2.children[0].children[0].children[0], 'N')
self.assertEqual(index2.children[0].children[1].type, 'Number')
self.assertEqual(index2.children[0].children[1].leaf, 0)
self.assertEqual(res.children[1].type, "True")
def test_parse_expression3(self):
parser = expressionParser
res = parser.parse_expression("(x == true) && (0 > N-0-1)")
self.assertEqual(res.type, 'And')
self.assertEqual(len(res.children), 2)
self.assertEqual(res.children[0].type, 'Equal')
self.assertEqual(res.children[0].children[0].type, 'Identifier')
self.assertEqual(res.children[0].children[0].children[0], 'x')
self.assertEqual(res.children[0].children[1].type, 'True')
self.assertEqual(res.children[1].type, 'Greater')
self.assertEqual(res.children[1].children[0].type, 'Number')
self.assertEqual(res.children[1].children[0].leaf, 0)
self.assertEqual(res.children[1].children[1].type, 'Minus')
self.assertEqual(res.children[1].children[1].children[0].type, 'Minus')
self.assertEqual(res.children[1].children[1].children[0].children[0].type, 'Identifier')
self.assertEqual(res.children[1].children[1].children[0].children[0].children[0], 'N')
self.assertEqual(res.children[1].children[1].children[0].children[1].type, 'Number')
self.assertEqual(res.children[1].children[1].children[0].children[1].leaf, 0)
self.assertEqual(res.children[1].children[1].children[1].type, 'Number')
self.assertEqual(res.children[1].children[1].children[1].leaf, 1)
res = parser.parse_expression("x == true && (0 > N-0-1)")
self.assertEqual(res.type, 'And')
self.assertEqual(len(res.children), 2)
self.assertEqual(res.children[0].type, 'Equal')
self.assertEqual(res.children[0].children[0].type, 'Identifier')
self.assertEqual(res.children[0].children[0].children[0], 'x')
self.assertEqual(res.children[0].children[1].type, 'True')
self.assertEqual(res.children[1].type, 'Greater')
self.assertEqual(res.children[1].children[0].type, 'Number')
self.assertEqual(res.children[1].children[0].leaf, 0)
self.assertEqual(res.children[1].children[1].type, 'Minus')
self.assertEqual(res.children[1].children[1].children[0].type, 'Minus')
self.assertEqual(res.children[1].children[1].children[0].children[0].type, 'Identifier')
self.assertEqual(res.children[1].children[1].children[0].children[0].children[0], 'N')
self.assertEqual(res.children[1].children[1].children[0].children[1].type, 'Number')
self.assertEqual(res.children[1].children[1].children[0].children[1].leaf, 0)
self.assertEqual(res.children[1].children[1].children[1].type, 'Number')
self.assertEqual(res.children[1].children[1].children[1].leaf, 1)
def test_parse_expression4(self):
parser = expressionParser
res = parser.parse_expression("x' == 0")
res.visit()
self.assertEqual(res.type, 'Equal')
self.assertEqual(res.children[0].type, 'ClockRate')
self.assertEqual(res.children[0].leaf, 'x')
self.assertEqual(res.children[1].type, 'Number')
self.assertEqual(res.children[1].leaf, 0)
res = parser.parse_expression("y >= 5 && x' == 0")
res.visit()
self.assertEqual(res.type, 'And')
self.assertEqual(len(res.children), 2)
self.assertEqual(res.children[0].type, 'GreaterEqual')
self.assertEqual(res.children[0].children[0].type, 'Identifier')
self.assertEqual(res.children[0].children[0].children[0], 'y')
self.assertEqual(res.children[0].children[1].type, 'Number')
self.assertEqual(res.children[0].children[1].leaf, 5)
self.assertEqual(res.children[1].type, 'Equal')
self.assertEqual(res.children[1].children[0].type, 'ClockRate')
self.assertEqual(res.children[1].children[0].leaf, 'x')
self.assertEqual(res.children[1].children[1].type, 'Number')
self.assertEqual(res.children[1].children[1].leaf, 0)
def test_parse_expression_conditional_operator(self):
parser = expressionParser
res = parser.parse_expression("1 ? 42 : 0")
self.assertEqual(res.type, "Conditional")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 1)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 42)
self.assertEqual(res.children[2].type, "Number")
self.assertEqual(res.children[2].leaf, 0)
res = parser.parse_expression("1 ? (42+3) : (0*3)")
self.assertEqual(res.type, "Conditional")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[0].leaf, 1)
self.assertEqual(res.children[1].type, "Plus")
self.assertEqual(res.children[2].type, "Times")
res = parser.parse_expression("(1 == 1 ? 3 :6) ")
self.assertEqual(res.children[0].type, "Equal")
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[2].type, "Number")
def test_parse_expression_nested_conditional_operator(self):
parser = expressionParser
res = parser.parse_expression("1 ? (0 ? 0 : 42) : (0*3)")
self.assertEqual(res.type, "Conditional")
self.assertEqual(res.children[0].type, "Number")
self.assertEqual(res.children[1].type, "Conditional")
self.assertEqual(res.children[1].children[0].type, "Number")
self.assertEqual(res.children[1].children[1].type, "Number")
self.assertEqual(res.children[1].children[2].type, "Number")
self.assertEqual(res.children[2].type, "Times")
def test_parse_func_with_params(self):
parser = expressionParser
res = parser.parse_expression("ishit(4)")
self.assertEqual(res.type, "FunctionCall")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], "ishit")
#parameters
self.assertEqual(len(res.leaf), 1)
self.assertEqual(res.leaf[0].type, "Number")
self.assertEqual(res.leaf[0].leaf, 4)
res = parser.parse_expression("cache.ishit(4)")
self.assertEqual(res.type, "FunctionCall")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], "cache")
self.assertEqual(res.children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[1].children[0], "ishit")
#parameters
self.assertEqual(len(res.leaf), 1)
self.assertEqual(res.leaf[0].type, "Number")
self.assertEqual(res.leaf[0].leaf, 4)
res = parser.parse_expression("cache.ishit(acc)")
self.assertEqual(res.type, "FunctionCall")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], "cache")
self.assertEqual(res.children[0].children[1].type, "Identifier")
self.assertEqual(res.children[0].children[1].children[0], "ishit")
#parameters
self.assertEqual(len(res.leaf), 1)
self.assertEqual(res.leaf[0].type, "Identifier")
self.assertEqual(res.leaf[0].children[0], "acc")
res = parser.parse_expression("ishit(4, 5, x, True, a.b.c)")
res.visit()
self.assertEqual(res.type, "FunctionCall")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], "ishit")
#parameters
self.assertEqual(len(res.leaf), 5)
self.assertEqual(res.leaf[0].type, "Number")
self.assertEqual(res.leaf[0].leaf, 4)
self.assertEqual(res.leaf[1].type, "Number")
self.assertEqual(res.leaf[1].leaf, 5)
self.assertEqual(res.leaf[2].type, "Identifier")
self.assertEqual(res.leaf[2].children[0], "x")
self.assertEqual(res.leaf[3].type, "True")
self.assertEqual(res.leaf[4].type, "Identifier")
self.assertEqual(res.leaf[4].children[0], "a")
self.assertEqual(res.leaf[4].children[1].type, "Identifier")
self.assertEqual(res.leaf[4].children[1].children[0], "b")
self.assertEqual(res.leaf[4].children[1].children[1].type, "Identifier")
self.assertEqual(res.leaf[4].children[1].children[1].children[0], "c")
def test_parse_array_index_expression(self):
parser = expressionParser
res = parser.parse_expression("a[1] == 2")
self.assertEqual(res.type, "Equal")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].leaf.type, "IndexList")
self.assertEqual(res.children[0].leaf.children[0].type, "Index")
self.assertEqual(res.children[0].leaf.children[0].leaf.type, "Number")
self.assertEqual(res.children[0].leaf.children[0].leaf.leaf, 1)
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 2)
res = parser.parse_expression("N-1")
self.assertEqual(res.type, "Minus")
self.assertEqual(res.children[0].type, "Identifier")
self.assertEqual(res.children[0].children[0], 'N')
self.assertEqual(res.children[1].type, "Number")
self.assertEqual(res.children[1].leaf, 1)
def test_parse_array_index_mixed_expression(self):
parser = expressionParser
res = parser.parse_expression("a[1].foo")
res.visit()
self.assertEqual(res.type, "Identifier")
ident = res
self.assertEqual(len(ident.children), 2)
self.assertEqual(ident.children[0], "a")
self.assertEqual(ident.leaf.type, "IndexList")
indexlist = ident.leaf
self.assertEqual(len(indexlist.children), 1)
self.assertEqual(indexlist.children[0].type, "Index")
self.assertEqual(indexlist.children[0].leaf.type, "Number")
self.assertEqual(indexlist.children[0].leaf.leaf, 1)
self.assertEqual(ident.children[1].type, "Identifier")
self.assertEqual(ident.children[1].children[0], "foo")
res = parser.parse_expression("a.foo.bar.baz")
res.visit()
self.assertEqual(res.type, "Identifier")
ident = res
self.assertEqual(len(ident.children), 2)
self.assertEqual(ident.children[0], "a")
dot = ident.children[1]
self.assertEqual(len(dot.children), 2)
self.assertEqual(dot.type, "Identifier")
self.assertEqual(dot.children[0], "foo")
dot = dot.children[1]
self.assertEqual(len(dot.children), 2)
self.assertEqual(dot.type, "Identifier")
self.assertEqual(dot.children[0], "bar")
dot = dot.children[1]
self.assertEqual(len(dot.children), 1)
self.assertEqual(dot.type, "Identifier")
self.assertEqual(dot.children[0], "baz")
res = parser.parse_expression("a.foo[2].bar[i].baz")
res.visit()
self.assertEqual(res.type, "Identifier")
ident = res
self.assertEqual(len(ident.children), 2)
self.assertEqual(ident.children[0], "a")
dot = ident.children[1]
self.assertEqual(len(dot.children), 2)
self.assertEqual(dot.type, "Identifier")
self.assertEqual(dot.children[0], "foo")
indexlist = dot.leaf
self.assertEqual(indexlist.type, "IndexList")
self.assertEqual(len(indexlist.children), 1)
index = indexlist.children[0]
self.assertEqual(index.type, "Index")
self.assertEqual(index.leaf.type, "Number")
self.assertEqual(index.leaf.leaf, 2)
dot = dot.children[1]
self.assertEqual(len(dot.children), 2)
self.assertEqual(dot.type, "Identifier")
self.assertEqual(dot.children[0], "bar")
indexlist = dot.leaf
self.assertEqual(indexlist.type, "IndexList")
self.assertEqual(len(indexlist.children), 1)
index = indexlist.children[0]
self.assertEqual(index.type, "Index")
self.assertEqual(index.leaf.type, "Identifier")
self.assertEqual(index.leaf.children[0], "i")
dot = dot.children[1]
self.assertEqual(len(dot.children), 1)
self.assertEqual(dot.type, "Identifier")
self.assertEqual(dot.children[0], "baz")
res = parser.parse_expression("a[1][2][3].foo")
res.visit()
self.assertEqual(res.type, "Identifier")
ident = res
self.assertEqual(len(ident.children), 2)
self.assertEqual(ident.children[0], "a")
self.assertEqual(ident.leaf.type, "IndexList")
indexlist = ident.leaf
self.assertEqual(len(indexlist.children), 3)
self.assertEqual(indexlist.children[0].type, "Index")
self.assertEqual(indexlist.children[0].leaf.type, "Number")
self.assertEqual(indexlist.children[0].leaf.leaf, 1)
self.assertEqual(indexlist.children[1].type, "Index")
self.assertEqual(indexlist.children[1].leaf.type, "Number")
self.assertEqual(indexlist.children[1].leaf.leaf, 2)
self.assertEqual(indexlist.children[2].type, "Index")
self.assertEqual(indexlist.children[2].leaf.type, "Number")
self.assertEqual(indexlist.children[2].leaf.leaf, 3)
self.assertEqual(ident.children[1].type, "Identifier")
self.assertEqual(ident.children[1].children[0], "foo")
def test_parse_extern(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_extern.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
#pars.AST.visit()
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
def test_parse_extern2(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_extern2.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
pars.AST.visit()
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
self.assertTrue('TestExternalLattice' in pars.externList)
self.assertEqual(declvisitor.get_type('mylat'), 'TestExternalLattice')
def test_parse_extern3(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_extern3.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
pars.AST.visit()
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
self.assertTrue('WideningIntRange' in pars.externList)
self.assertEqual(declvisitor.get_type('x'), 'WideningIntRange')
wideningIntRangeTypeNode = pars.typedefDict['WideningIntRange']
print "typedefdict:"
wideningIntRangeTypeNode.visit()
self.assertEqual(wideningIntRangeTypeNode.leaf.type, "Identifier")
self.assertEqual(wideningIntRangeTypeNode.leaf.children[0], "WideningIntRange")
self.assertEqual(len(wideningIntRangeTypeNode.children), 1)
self.assertEqual(wideningIntRangeTypeNode.children[0].type, 'FunctionCall')
parameters = wideningIntRangeTypeNode.children[0].leaf
self.assertEqual(len(parameters), 4)
self.assertEqual(parameters[0].leaf, 1)
self.assertEqual(parameters[1].leaf, 2)
self.assertEqual(parameters[2].leaf, 3)
self.assertEqual(parameters[3].leaf, 9)
def test_parse_extern_dbm(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_extern_dbm.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
self.assertEqual(len(declvisitor.variables), 5)
self.assertEqual(tuple(declvisitor.variables[0]), ('dbm', 'DBMFederation', [], None))
self.assertEqual(tuple(declvisitor.variables[1]), ('dbm.x', 'DBMClock', [], None))
self.assertEqual(tuple(declvisitor.variables[2]), ('dbm.c', 'DBMClock', [], None))
self.assertEqual(declvisitor.variables[3].identifier, 'dbm.y') #('dbm.y', 'DBMClock', [10])
self.assertEqual(declvisitor.variables[3].vartype, 'DBMClock')
self.assertEqual(declvisitor.variables[3].array_dimensions[0].children[0].leaf, 10)
self.assertEqual(declvisitor.variables[4].identifier, 'dbm.z') #('dbm.z', 'DBMClock', [10, 20])
self.assertEqual(declvisitor.variables[4].vartype, 'DBMClock')
self.assertEqual(declvisitor.variables[4].array_dimensions[0].children[0].leaf, 10)
self.assertEqual(declvisitor.variables[4].array_dimensions[1].children[0].leaf, 20)
def test_parse_extern_octagon(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_extern_octagon.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
pars.AST.visit()
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
self.assertTrue('ApronOctagon' in pars.externList)
self.assertEqual(declvisitor.get_type('oct'), 'ApronOctagon')
octTypeNode = pars.typedefDict['ApronOctagon']
self.assertEqual(octTypeNode.leaf.type, "Identifier")
self.assertEqual(octTypeNode.leaf.children[0], "ApronOctagon")
self.assertEqual(declvisitor.get_vardecl('i').basic_type, 'TypeExternChild')
self.assertEqual(declvisitor.get_type('i'), ['oct', 'intvar'])
self.assertEqual(declvisitor.get_vardecl('f').basic_type, 'TypeExternChild')
self.assertEqual(declvisitor.get_type('f'), ['oct', 'floatvar'])
def test_parse_constants(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_parse_constants.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
#pars.AST.visit()
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
inorder = ["a", "b", "c", "d", "N"]
#should return the constants in file order
self.assertEqual(declvisitor.constants.keys(), inorder)
def test_parse_declare_intrange(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_declare_intrange.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
pars.AST.visit()
self.assertEqual(pars.AST.children[0].type, "VarDeclList")
self.assertEqual(pars.AST.children[0].leaf.type, 'TypeInt')
vdecl = pars.AST.children[0].children[0]
self.assertEqual(vdecl.type, "VarDecl")
self.assertEqual(vdecl.children[0].children[0], "i")
self.assertEqual(vdecl.range_min.type, "Number")
self.assertEqual(vdecl.range_min.leaf, 0)
self.assertEqual(vdecl.range_max.type, "Number")
self.assertEqual(vdecl.range_max.leaf, 4)
self.assertEqual(pars.AST.children[0].leaf.children[0].type, "Expression")
self.assertEqual(pars.AST.children[0].leaf.children[0].children[0].leaf, 0)
self.assertEqual(pars.AST.children[0].leaf.children[1].type, "Expression")
self.assertEqual(pars.AST.children[0].leaf.children[1].children[0].leaf, 4)
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
vardecl_i = declvisitor.get_vardecl("i")
self.assertEqual(vardecl_i.range_min.type, "Number")
self.assertEqual(vardecl_i.range_min.leaf, 0)
self.assertEqual(vardecl_i.range_max.type, "Number")
self.assertEqual(vardecl_i.range_max.leaf, 4)
vardecl_i = declvisitor.get_vardecl("j")
#self.assertEqual(vardecl_j.range, (-32767, 32767))
self.assertEqual(vardecl_i.range_min.type, "Number")
self.assertEqual(vardecl_i.range_min.leaf, -32767)
self.assertEqual(vardecl_i.range_max.type, "Number")
self.assertEqual(vardecl_i.range_max.leaf, 32767)
def test_parse_if_elseif(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_if_elseif.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
pars.AST.visit()
ifnode = pars.AST.children[0].children[0]
ifbodynode = ifnode.children[0]
elseifbodynode = ifnode.children[1]
elsebodynode = ifnode.children[2]
self.assertEqual(ifnode.leaf, [])
self.assertEqual(ifbodynode.leaf[0].children[0].type, "Number")
self.assertEqual(ifbodynode.leaf[0].children[0].leaf, 4)
self.assertEqual(elseifbodynode.leaf[0].children[0].type, "Number")
self.assertEqual(elseifbodynode.leaf[0].children[0].leaf, 3)
def test_parse_function_typedef_return(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_function_typedef_return.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
declvisitor = parser.DeclVisitor(pars)
declvisitor.visit(pars.AST)
self.assertEqual(len(declvisitor.functions), 2)
foo = declvisitor.functions[0]
self.assertEqual(foo.leaf[1].children[0], "foo")
self.assertEqual(foo.basic_type, "TypeInt")
bar = declvisitor.functions[1]
self.assertEqual(bar.leaf[1].children[0], "bar")
self.assertEqual(bar.basic_type, "TypeVoid")
def test_parse_array_types(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_array_types.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
pars.AST.visit()
self.assertEqual(res[1].type, "VarDeclList")
self.assertEqual(res[1].children[0].type, "VarDecl")
self.assertEqual(res[1].children[0].children[0].type, "Identifier")
self.assertEqual(res[1].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[1].children[0].children[0].leaf.children[0].type, "Index")
self.assertEqual(res[1].children[0].children[0].leaf.children[0].leaf.type, "NodeTypedef")
self.assertEqual(res[2].type, "VarDeclList")
self.assertEqual(res[2].children[0].type, "VarDecl")
self.assertEqual(res[2].children[0].children[0].type, "Identifier")
self.assertEqual(res[2].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[2].children[0].children[0].leaf.children[0].type, "Index")
self.assertEqual(res[2].children[0].children[0].leaf.children[0].leaf.type, "TypeInt")
self.assertEqual(len(res[2].children[0].children[0].leaf.children[0].leaf.children), 2)
self.assertEqual(res[2].children[0].children[0].leaf.children[0].leaf.children[0].children[0].type, "Number")
self.assertEqual(res[2].children[0].children[0].leaf.children[0].leaf.children[0].children[0].leaf, 2)
self.assertEqual(res[2].children[0].children[0].leaf.children[0].leaf.children[1].children[0].type, "Number")
self.assertEqual(res[2].children[0].children[0].leaf.children[0].leaf.children[1].children[0].leaf, 4)
self.assertEqual(res[3].type, "VarDeclList")
self.assertEqual(res[3].children[0].type, "VarDecl")
self.assertEqual(res[3].children[0].children[0].type, "Identifier")
self.assertEqual(res[3].children[0].children[0].leaf.type, "IndexList")
self.assertEqual(res[3].children[0].children[0].leaf.children[0].type, "Index")
self.assertEqual(res[3].children[0].children[0].leaf.children[0].leaf.type, "TypeInt")
self.assertEqual(len(res[3].children[0].children[0].leaf.children[0].leaf.children), 2)
self.assertEqual(res[3].children[0].children[0].leaf.children[0].leaf.children[0].children[0].type, "Number")
self.assertEqual(res[3].children[0].children[0].leaf.children[0].leaf.children[0].children[0].leaf, 3)
self.assertEqual(res[3].children[0].children[0].leaf.children[0].leaf.children[1].children[0].type, "Number")
self.assertEqual(res[3].children[0].children[0].leaf.children[0].leaf.children[1].children[0].leaf, 4)
def test_conditional_operator(self):
test_file = open(os.path.join(os.path.dirname(__file__), 'test_conditional_operator.txt'), "r")
lex = lexer.lexer
pars = parser.Parser(test_file.read(), lex)
res = pars.AST.children
pars.AST.visit()
if '__name__' == '__main__':
unittest.main()
| 50.338642
| 208
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0
| 9
|
f51642b9ca3c29ebb454436310a861cbdc496468
| 40,990
|
py
|
Python
|
genereg/FeatureSelection.py
|
Kia23/genexpreg_cancer
|
c4d59dc1ac99c88992f6030f0fab848d7da4d082
|
[
"Apache-2.0"
] | 1
|
2020-09-28T09:33:15.000Z
|
2020-09-28T09:33:15.000Z
|
genereg/FeatureSelection.py
|
Kia23/genexpreg_cancer
|
c4d59dc1ac99c88992f6030f0fab848d7da4d082
|
[
"Apache-2.0"
] | null | null | null |
genereg/FeatureSelection.py
|
Kia23/genexpreg_cancer
|
c4d59dc1ac99c88992f6030f0fab848d7da4d082
|
[
"Apache-2.0"
] | 1
|
2018-10-09T00:15:32.000Z
|
2018-10-09T00:15:32.000Z
|
# coding: utf-8
# Import libraries
import pandas as pd
from pandas import ExcelWriter
import numpy as np
import pickle
from sklearn.linear_model import LinearRegression
from sklearn import preprocessing
from sklearn.linear_model import LassoCV
from mlxtend.feature_selection import SequentialFeatureSelector as SFS
def feature_selection(gene_set, n_data_matrix, type):
"""
The FEATURE_SELECTION operation executes the feature selection procedure per gene set and per data matrix, according to the specified type of selection: it takes as input the name of the gene set to consider and the number of the model to build (i.e., the number of the data matrix to consider) and performs the specified feature selection for all the genes of interest in the selected set. Results are exported locally either in Excel or text files.
:param gene_set: the set of genes of interest to analyze
:param n_data_matrix: number identifying the data matrix to analyze (only 2,3 and 5 values are permitted)
:param type: the type of feature selection to perform (possibile values are {'ffs_default','ffs_no_reval','all','lasso','lasso_all'})
Example::
import genereg as gr
gr.FeatureSelection.feature_selection(gene_set='DNA_REPAIR', n_data_matrix=2, type=ffs_default)
gr.FeatureSelection.feature_selection(gene_set='DNA_REPAIR', n_data_matrix=3, type=ffs_default)
gr.FeatureSelection.feature_selection(gene_set='DNA_REPAIR', n_data_matrix=5, type=ffs_default)
"""
# Check input parameters
if n_data_matrix not in [2, 3, 5]:
raise ValueError('Data Matrix ERROR! Possible values: {2,3,5}')
# Define the model to create
model = str(n_data_matrix)
# Import the list of genes of interest and extract in a list the Gene Symbols of all the genes belonging to the current gene set
EntrezConversion_df = pd.read_excel('./Genes_of_Interest.xlsx',sheetname='Sheet1',header=0,converters={'GENE_SYMBOL':str,'ENTREZ_GENE_ID':str,'GENE_SET':str})
SYMs_current_pathway = []
for index, row in EntrezConversion_df.iterrows():
sym = row['GENE_SYMBOL']
path = row['GENE_SET']
if path == gene_set:
SYMs_current_pathway.append(sym)
if (type == 'ffs_default') or (type == 'ffs_no_reval') or (type == 'all'):
# Create a dataframe to store results of feature selection for each gene
if ((type == 'ffs_default') or (type == 'ffs_no_reval')) and (model == '2'):
summary_results_df = pd.DataFrame(index=SYMs_current_pathway, columns=['TOT Inital N° Features','Discarded Features','N° Features Selected'])
elif (type == 'all'):
summary_results_df = pd.DataFrame(index=SYMs_current_pathway, columns=['TOT Inital N° Features','Discarded Features','N° Features Selected'])
else:
summary_results_df = pd.DataFrame(index=SYMs_current_pathway, columns=['TOT Inital N° Features','Discarded Features','Features Available for Selection','N° Features Selected'])
for current_gene in SYMs_current_pathway:
# Import the model corresponding to the current gene
gene_ID = EntrezConversion_df.loc[EntrezConversion_df['GENE_SYMBOL'] == current_gene, 'ENTREZ_GENE_ID'].iloc[0]
model_gene_df = pd.read_excel('./4_Data_Matrix_Construction/Model'+model+'/Gene_'+gene_ID+'_['+current_gene+']'+'_('+gene_set+')-Model_v'+model+'.xlsx',sheetname='Sheet1',header=0)
tot_n_features = len(model_gene_df.columns) - 1 # all the columns, except for the expression of the model gene (i.e. target)
# Count the number of columns that contains all NaN values and that will be discarded before the regression
n_discarded_features = 0
for col, val in model_gene_df.iteritems():
s = model_gene_df[col]
if s.isnull().values.all():
n_discarded_features = n_discarded_features + 1
# Remove NaN columns
model_gene_df.dropna(axis=1, how='all', inplace=True)
# Store the first results in the summary dataframe
summary_results_df.set_value(current_gene, 'TOT Inital N° Features', tot_n_features)
summary_results_df.set_value(current_gene, 'Discarded Features', n_discarded_features)
if (type == 'ffs_default') and ((model == '3') or (model == '5')):
# Load the list of features selected for the previous model
if model == '3':
previous_model = str(int(model)-1)
elif model == '5':
previous_model = str(int(model)-2)
text_file = open('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+previous_model+'/Features-Gene_'+gene_ID+'_['+current_gene+'].txt', 'r')
prev_features = text_file.read().split('\n')
prev_features.remove('')
text_file.close()
# Extract the features of the previous model that have not been selected by the feature selection and that we can remove from the current model before performing regression
previous_model_df = pd.read_excel('./4_Data_Matrix_Construction/Model'+previous_model+'/Gene_'+gene_ID+'_['+current_gene+']'+'_('+gene_set+')-Model_v'+previous_model+'.xlsx',sheetname='Sheet1',header=0)
previous_col_names_to_delete = []
for name, values in previous_model_df.iteritems():
if ('EXPRESSION' not in name):
if name not in prev_features:
previous_col_names_to_delete.append(name)
# Update the model keeping only the set of features we can select from
current_model_col_names = set(list(model_gene_df.columns.values))
previous_model_col_names = set(list(previous_model_df.columns.values))
# if no new columns were added to the current matrix with respect to the previous one and no features were selected for the previous matrix, use again the whole matrix for the feature selection
if (current_model_col_names.issubset(previous_model_col_names)) & (len(prev_features) == 0):
model_gene_df = model_gene_df.copy()
else:
model_gene_df.drop(list(current_model_col_names & set(previous_col_names_to_delete)), axis=1, inplace=True)
summary_results_df.set_value(current_gene, 'Features Available for Selection', (len(model_gene_df.columns)-1))
elif (type == 'ffs_no_reval') and ((model == '3') or (model == '5')):
# Load the list of features selected for the previous model
if model == '3':
previous_model = str(int(model)-1)
elif model == '5':
previous_model = str(int(model)-2)
text_file = open('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+previous_model+'/Features-Gene_'+gene_ID+'_['+current_gene+'].txt', 'r')
prev_features = text_file.read().split('\n')
prev_features.remove('')
text_file.close()
# Remove from the current model all the features belonging to the previous model
previous_model_df = pd.read_excel('./4_Data_Matrix_Construction/Model'+previous_model+'/Gene_'+gene_ID+'_['+current_gene+']'+'_('+gene_set+')-Model_v'+previous_model+'.xlsx',sheetname='Sheet1',header=0)
current_model_col_names = set(list(model_gene_df.columns.values))
previous_model_col_names = set(list(previous_model_df.columns.values))
current_columns = list(model_gene_df.columns.values)
previous_columns = list(previous_model_df.columns.values)
# if no new columns were added to the current matrix with respect to the previous one, use the whole matrix for the feature selection
if (current_model_col_names.issubset(previous_model_col_names)):
model_gene_df = model_gene_df.copy()
else:
for f in current_columns:
if (f != 'EXPRESSION ('+current_gene+')'):
if f in previous_columns:
model_gene_df.drop(f, axis=1, inplace=True)
summary_results_df.set_value(current_gene, 'Features Available for Selection', (len(model_gene_df.columns)-1))
# Import the dictionary containing the information needed to split the dataframe in five test sets
dict_test_split = pickle.load(open('./5_Data_Analysis/dict_test_split.p', 'rb'))
# Split the dataframe into five dataframes that will be used as test sets
model_gene_df_test1 = model_gene_df.loc[dict_test_split['Test_1']]
model_gene_df_test2 = model_gene_df.loc[dict_test_split['Test_2']]
model_gene_df_test3 = model_gene_df.loc[dict_test_split['Test_3']]
model_gene_df_test4 = model_gene_df.loc[dict_test_split['Test_4']]
model_gene_df_test5 = model_gene_df.loc[dict_test_split['Test_5']]
# Define the corresponding five dataframes to be used as training sets
model_gene_df_train1 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test1.index)]
model_gene_df_train2 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test2.index)]
model_gene_df_train3 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test3.index)]
model_gene_df_train4 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test4.index)]
model_gene_df_train5 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test5.index)]
# Now, execute the feature selection five times, each time considering one of the five dataframes as test set.
# CASE 1 ---------------------------------------------------------------------------------------------------------
# Define the parameters:
case = 1
model_gene_df_train = model_gene_df_train1.copy()
model_gene_df_test = model_gene_df_test1.copy()
# Define the features (predictors X) and the target (label y), together with training and testing sets:
# features X: model gene methylation and other genes expression values
# target y: model gene expression value
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Reshape y
y_train = y_train.reshape(-1, 1)
y_test = y_test.reshape(-1, 1)
# APPLY FEATURE SELECTION
# Sequential Feature Selector performs forward fueature selection.
# The function used is the following:
# SFS(estimator, k_features, forward, floating, scoring, cv, n_jobs, ...)
# where estimator = scikit-learn classifier or regressor
# k_features = number of features to select (int or tuple with a min and max value).
# SFS will consider return any feature combination between min and max
# that scored highest in cross-validation.
# If 'best' is provided, the feature selector will return the feature subset with the best
# cross-validation performance. If 'parsimonious' is provided as an argument,
# the smallest feature subset that is within one standard error of the cross-validation
# performance will be selected.
# forward = forward selection if true, backward selection otherwise
# floating = allows to implement SFFS or SBFS
# scoring = scoring metric
# {accuracy, f1, precision, recall, roc_auc} for classifiers
# {'mean_absolute_error', 'neg_mean_squared_error', 'median_absolute_error', 'r2'} for regressors
# cv = cross-validation generator (default: 5)
# n_jobs = number of CPUs to use for evaluating different feature subsets in parallel ('-1' means 'all CPUs')
# Define the linear regression object
lr = LinearRegression()
# Count the total number of features
tot_N_features = int(X_train.shape[1])
# Perform feature selection
sfs = SFS(lr, k_features='best', forward=True, floating=False, scoring='neg_mean_squared_error', cv=5)
# Learn model from training data
sfs = sfs.fit(X_train, y_train)
# Get all the details of the forward fits:
# 'get_metric_dict(confidence_interval=0.95)' returns a dictionary, where dictionary keys are the number
# of iterations (number of feature subsets) and where the value for each key is a second dictionary.
# The keys of this second dictionary are:
# 'feature_idx': tuple of the indices of the feature subset
# 'cv_scores': list with individual CV scores
# 'avg_score': average of CV scores
# 'std_dev': standard deviation of the CV score average
# 'std_err': standard error of the CV score average
# 'ci_bound': confidence interval bound of the CV score average (around the computed cross-validation scores)
# and they each have a different value in each iteration.
# So, the general struture of this dictionary is the following:
# {Iteration_1 : {feature_idx: tuple_of_values, cv_scores: list_of_values, avg_score: value,...},
# Iteration_2 : {feature_idx: tuple_of_values, cv_scores: list_of_values, avg_score: value,...},
# Iteration_3 : {feature_idx: tuple_of_values, cv_scores: list_of_values, avg_score: value,...}, ...}
result_dict = sfs.get_metric_dict()
# Compute the mean of cross-validation scores
mean_cv_scores = []
for i in np.arange(1,tot_N_features+1): # values are generated within the interval [start, stop), including start but excluding stop
# since cv_scores are negative numbers in the previous dictionary, I have to add a '-' to compute the mean
mean_cv_scores.append(-np.mean(result_dict[i]['cv_scores']))
# Get the number of features selected, which corresponds to the number of features selected
# in correspondence of the minimum of the mean cross-validation scores
idx_1 = np.argmin(mean_cv_scores)+1
# Get the features indexes for the best forward fit and convert them to list
feature_idx_1 = result_dict[idx_1]['feature_idx']
selected_features_indexes = list(feature_idx_1)
# Extract the names of these features
X_df = model_gene_df.drop(['EXPRESSION ('+current_gene+')'],1)
X_df_columns = list(X_df.columns)
columns_selected_1 = []
for index in selected_features_indexes:
columns_selected_1.append(X_df_columns[index])
# FIT THE NEW MODEL
# Define the new training and test set, according to the features selected
X_train_sfs = X_train[:, feature_idx_1]
X_test_sfs = X_test[:, feature_idx_1]
# Define the linear regression object and train the model using training sets
lr.fit(X_train_sfs, y_train)
# Make predictions
y_predicted = lr.predict(X_test_sfs)
# Set the expected results
y_expected = y_test
# Compute the values of R-squared
train_R2_1 = lr.score(X_train_sfs, y_train)
test_R2_1 = lr.score(X_test_sfs, y_test)
# CASE 2 ---------------------------------------------------------------------------------------------------------
# Define the parameters:
case = 2
model_gene_df_train = model_gene_df_train2.copy()
model_gene_df_test = model_gene_df_test2.copy()
# Define the features (predictors X) and the target (label y), together with training and testing sets:
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Reshape y
y_train = y_train.reshape(-1, 1)
y_test = y_test.reshape(-1, 1)
# APPLY FEATURE SELECTION
lr = LinearRegression()
tot_N_features = int(X_train.shape[1])
sfs = SFS(lr, k_features='best', forward=True, floating=False, scoring='neg_mean_squared_error', cv=5)
sfs = sfs.fit(X_train, y_train)
# Get all the details of the forward fits:
result_dict = sfs.get_metric_dict()
# Compute the mean of cross-validation scores
mean_cv_scores = []
for i in np.arange(1,tot_N_features+1):
mean_cv_scores.append(-np.mean(result_dict[i]['cv_scores']))
# Get the number of features selected
idx_2 = np.argmin(mean_cv_scores)+1
# Get the features indexes for the best forward fit and convert them to list
feature_idx_2 = result_dict[idx_2]['feature_idx']
selected_features_indexes = list(feature_idx_2)
# Extract the names of these features
X_df = model_gene_df.drop(['EXPRESSION ('+current_gene+')'],1)
X_df_columns = list(X_df.columns)
columns_selected_2 = []
for index in selected_features_indexes:
columns_selected_2.append(X_df_columns[index])
# FIT THE NEW MODEL
X_train_sfs = X_train[:, feature_idx_2]
X_test_sfs = X_test[:, feature_idx_2]
lr.fit(X_train_sfs, y_train)
y_predicted = lr.predict(X_test_sfs)
y_expected = y_test
# Compute the values of R-squared
train_R2_2 = lr.score(X_train_sfs, y_train)
test_R2_2 = lr.score(X_test_sfs, y_test)
# CASE 3 ---------------------------------------------------------------------------------------------------------
# Define the parameters:
case = 3
model_gene_df_train = model_gene_df_train3.copy()
model_gene_df_test = model_gene_df_test3.copy()
# Define the features (predictors X) and the target (label y), together with training and testing sets:
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Reshape y
y_train = y_train.reshape(-1, 1)
y_test = y_test.reshape(-1, 1)
# APPLY FEATURE SELECTION
lr = LinearRegression()
tot_N_features = int(X_train.shape[1])
sfs = SFS(lr, k_features='best', forward=True, floating=False, scoring='neg_mean_squared_error', cv=5)
sfs = sfs.fit(X_train, y_train)
# Get all the details of the forward fits:
result_dict = sfs.get_metric_dict()
# Compute the mean of cross-validation scores
mean_cv_scores = []
for i in np.arange(1,tot_N_features+1):
mean_cv_scores.append(-np.mean(result_dict[i]['cv_scores']))
# Get the number of features selected
idx_3 = np.argmin(mean_cv_scores)+1
# Get the features indexes for the best forward fit and convert them to list
feature_idx_3 = result_dict[idx_3]['feature_idx']
selected_features_indexes = list(feature_idx_3)
# Extract the names of these features
X_df = model_gene_df.drop(['EXPRESSION ('+current_gene+')'],1)
X_df_columns = list(X_df.columns)
columns_selected_3 = []
for index in selected_features_indexes:
columns_selected_3.append(X_df_columns[index])
# FIT THE NEW MODEL
X_train_sfs = X_train[:, feature_idx_3]
X_test_sfs = X_test[:, feature_idx_3]
lr.fit(X_train_sfs, y_train)
y_predicted = lr.predict(X_test_sfs)
y_expected = y_test
# Compute the values of R-squared
train_R2_3 = lr.score(X_train_sfs, y_train)
test_R2_3 = lr.score(X_test_sfs, y_test)
# CASE 4 ---------------------------------------------------------------------------------------------------------
# Define the parameters:
case = 4
model_gene_df_train = model_gene_df_train4.copy()
model_gene_df_test = model_gene_df_test4.copy()
# Define the features (predictors X) and the target (label y), together with training and testing sets:
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Reshape y
y_train = y_train.reshape(-1, 1)
y_test = y_test.reshape(-1, 1)
# APPLY FEATURE SELECTION
lr = LinearRegression()
tot_N_features = int(X_train.shape[1])
sfs = SFS(lr, k_features='best', forward=True, floating=False, scoring='neg_mean_squared_error', cv=5)
sfs = sfs.fit(X_train, y_train)
# Get all the details of the forward fits:
result_dict = sfs.get_metric_dict()
# Compute the mean of cross-validation scores
mean_cv_scores = []
for i in np.arange(1,tot_N_features+1):
mean_cv_scores.append(-np.mean(result_dict[i]['cv_scores']))
# Get the number of features selected
idx_4 = np.argmin(mean_cv_scores)+1
# Get the features indexes for the best forward fit and convert them to list
feature_idx_4 = result_dict[idx_4]['feature_idx']
selected_features_indexes = list(feature_idx_4)
# Extract the names of these features
X_df = model_gene_df.drop(['EXPRESSION ('+current_gene+')'],1)
X_df_columns = list(X_df.columns)
columns_selected_4 = []
for index in selected_features_indexes:
columns_selected_4.append(X_df_columns[index])
# FIT THE NEW MODEL
X_train_sfs = X_train[:, feature_idx_4]
X_test_sfs = X_test[:, feature_idx_4]
lr.fit(X_train_sfs, y_train)
y_predicted = lr.predict(X_test_sfs)
y_expected = y_test
# Compute the values of R-squared
train_R2_4 = lr.score(X_train_sfs, y_train)
test_R2_4 = lr.score(X_test_sfs, y_test)
# CASE 5 ---------------------------------------------------------------------------------------------------------
# Define the parameters:
case = 5
model_gene_df_train = model_gene_df_train5.copy()
model_gene_df_test = model_gene_df_test5.copy()
# Define the features (predictors X) and the target (label y), together with training and testing sets:
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Reshape y
y_train = y_train.reshape(-1, 1)
y_test = y_test.reshape(-1, 1)
# APPLY FEATURE SELECTION
lr = LinearRegression()
tot_N_features = int(X_train.shape[1])
sfs = SFS(lr, k_features='best', forward=True, floating=False, scoring='neg_mean_squared_error', cv=5)
sfs = sfs.fit(X_train, y_train)
# Get all the details of the forward fits:
result_dict = sfs.get_metric_dict()
# Compute the mean of cross-validation scores
mean_cv_scores = []
for i in np.arange(1,tot_N_features+1):
mean_cv_scores.append(-np.mean(result_dict[i]['cv_scores']))
# Get the number of features selected
idx_5 = np.argmin(mean_cv_scores)+1
# Get the features indexes for the best forward fit and convert them to list
feature_idx_5 = result_dict[idx_5]['feature_idx']
selected_features_indexes = list(feature_idx_5)
# Extract the names of these features
X_df = model_gene_df.drop(['EXPRESSION ('+current_gene+')'],1)
X_df_columns = list(X_df.columns)
columns_selected_5 = []
for index in selected_features_indexes:
columns_selected_5.append(X_df_columns[index])
# FIT THE NEW MODEL
X_train_sfs = X_train[:, feature_idx_5]
X_test_sfs = X_test[:, feature_idx_5]
lr.fit(X_train_sfs, y_train)
y_predicted = lr.predict(X_test_sfs)
y_expected = y_test
# Compute the values of R-squared
train_R2_5 = lr.score(X_train_sfs, y_train)
test_R2_5 = lr.score(X_test_sfs, y_test)
# Compute the mean of the five training and test R2 scores
train_R2 = (train_R2_1+train_R2_2+train_R2_3+train_R2_4+train_R2_5)/5
test_R2 = (test_R2_1+test_R2_2+test_R2_3+test_R2_4+test_R2_5)/5
# Take the names of the features selected in the five cases, create their intersection
features_intersection = list(set(columns_selected_1) & set(columns_selected_2) & set(columns_selected_3) & set(columns_selected_4) & set(columns_selected_5))
# Define the final set of selected features and finally export the list of columns selected in a .txt file
if (type == 'ffs_no_reval') and ((model == '3') or (model == '5')):
final_features = list(set(features_intersection) | set(prev_features))
else:
final_features = features_intersection
with open ('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+model+'/Features-Gene_'+gene_ID+'_['+current_gene+'].txt', 'w') as fp:
final_features_sorted = sorted(final_features)
for i in final_features_sorted:
fp.write('%s\n' % i)
summary_results_df.set_value(current_gene, 'N° Features Selected', len(final_features))
# Export the summary dataframe in an Excel file
writer = ExcelWriter('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+model+'/Feature_Selection_SUMMARY.xlsx')
summary_results_df.to_excel(writer,'Sheet1')
writer.save()
elif (type == 'lasso') or (type == 'lasso_all'):
# Create a dataframe to store results of feature selection for each gene
if (type == 'lasso') and (model == '2'):
summary_results_df = pd.DataFrame(index=SYMs_current_pathway, columns=['TOT Inital N° Features','Discarded Features','N° Features Selected'])
elif (type == 'lasso_all'):
summary_results_df = pd.DataFrame(index=SYMs_current_pathway, columns=['TOT Inital N° Features','Discarded Features','N° Features Selected'])
else:
summary_results_df = pd.DataFrame(index=SYMs_current_pathway, columns=['TOT Inital N° Features','Discarded Features','Features Available for Selection','N° Features Selected'])
for current_gene in SYMs_current_pathway:
# Import the model corresponding to the current gene
gene_ID = EntrezConversion_df.loc[EntrezConversion_df['GENE_SYMBOL'] == current_gene, 'ENTREZ_GENE_ID'].iloc[0]
model_gene_df = pd.read_excel('./4_Data_Matrix_Construction/Model'+model+'/Gene_'+gene_ID+'_['+current_gene+']'+'_('+gene_set+')-Model_v'+model+'.xlsx',sheetname='Sheet1',header=0)
tot_n_features = len(model_gene_df.columns) - 1 # all the columns, except for the expression of the model gene (i.e. target)
# Count the number of columns that contains all NaN values and that will be discarded before the regression
n_discarded_features = 0
for col, val in model_gene_df.iteritems():
s = model_gene_df[col]
if s.isnull().values.all():
n_discarded_features = n_discarded_features + 1
# Remove NaN columns
model_gene_df.dropna(axis=1, how='all', inplace=True)
# Store the first results in the summary dataframe
summary_results_df.set_value(current_gene, 'TOT Inital N° Features', tot_n_features)
summary_results_df.set_value(current_gene, 'Discarded Features', n_discarded_features)
if (type == 'lasso') and ((model == '3') or (model == '5')):
# Load the list of features selected for the previous model
if model == '3':
previous_model = str(int(model)-1)
elif model == '5':
previous_model = str(int(model)-2)
text_file = open('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+previous_model+'/Features-Gene_'+gene_ID+'_['+current_gene+'].txt', 'r')
prev_features = text_file.read().split('\n')
prev_features.remove('')
text_file.close()
# Extract the features of the previous model that have not been selected by the feature selection and that we can remove from the current model before performing regression
previous_model_df = pd.read_excel('./4_Data_Matrix_Construction/Model'+previous_model+'/Gene_'+gene_ID+'_['+current_gene+']'+'_('+gene_set+')-Model_v'+previous_model+'.xlsx',sheetname='Sheet1',header=0)
previous_col_names_to_delete = []
for name, values in previous_model_df.iteritems():
if ('EXPRESSION' not in name):
if name not in prev_features:
previous_col_names_to_delete.append(name)
# Update the model keeping only the set of features we can select from
current_model_col_names = set(list(model_gene_df.columns.values))
previous_model_col_names = set(list(previous_model_df.columns.values))
# if no new columns were added to the current matrix with respect to the previous one and no features were selected for the previous matrix, use again the whole matrix for the feature selection
if (current_model_col_names.issubset(previous_model_col_names)) & (len(prev_features) == 0):
model_gene_df = model_gene_df.copy()
else:
model_gene_df.drop(list(current_model_col_names & set(previous_col_names_to_delete)), axis=1, inplace=True)
summary_results_df.set_value(current_gene, 'Features Available for Selection', (len(model_gene_df.columns)-1))
# Set all the remaining unknown values (NaN) to zero
model_gene_df = model_gene_df.fillna(0)
# DATA STANDARDIZATION:
# Normalize expression values (using the proper scaler from the sklearn library):
# MinMaxScaler() normalizes values between 0 and 1
# StandardScaler() performs Z-score normalization
scaler = preprocessing.StandardScaler() # define the scaler
# Define the dataframe to normalize
to_normalize = model_gene_df.copy()
matrix = to_normalize.values # convert into a numpy array
# Normalize and convert back to pandas dataframe
matrix_scaled = scaler.fit_transform(matrix)
model_gene_df = pd.DataFrame(matrix_scaled, index=to_normalize.index, columns=to_normalize.columns)
# Import the dictionary containing the information needed to split the dataframe in five test sets
dict_test_split = pickle.load(open('./5_Data_Analysis/dict_test_split.p', 'rb'))
# Split the dataframe into five dataframes that will be used as test sets
model_gene_df_test1 = model_gene_df.loc[dict_test_split['Test_1']]
model_gene_df_test2 = model_gene_df.loc[dict_test_split['Test_2']]
model_gene_df_test3 = model_gene_df.loc[dict_test_split['Test_3']]
model_gene_df_test4 = model_gene_df.loc[dict_test_split['Test_4']]
model_gene_df_test5 = model_gene_df.loc[dict_test_split['Test_5']]
# Define the corresponding five dataframes to be used as training sets
model_gene_df_train1 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test1.index)]
model_gene_df_train2 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test2.index)]
model_gene_df_train3 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test3.index)]
model_gene_df_train4 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test4.index)]
model_gene_df_train5 = model_gene_df[~model_gene_df.index.isin(model_gene_df_test5.index)]
# CASE 1 ---------------------------------------------------------------------------------------------------------
model_gene_df_train = model_gene_df_train1.copy()
model_gene_df_test = model_gene_df_test1.copy()
# Select the best 'alpha' value in Lasso Regression:
# Define the target and the predictors
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Create lasso regression with multiple possible alpha values
regr_cv = LassoCV(alphas=[0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10], cv=5)
# Fit the linear regression
model_cv = regr_cv.fit(X_train, y_train)
# Extract the best alpha value
best_alpha = model_cv.alpha_
# Execute the LASSO regression according to the selected 'alpha' to select the most relevant features:
# Define the features (predictors X) and the target (label y)
X = model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1)
y = model_gene_df_train['EXPRESSION ('+current_gene+')']
# Add an intercept to our model
X = sm.add_constant(X)
# Define the regression object and fit the model
lr_model = sm.OLS(y, X).fit_regularized(alpha=best_alpha, L1_wt=1)
# Extract the coefficients assigned to each feature and select only the features with a coefficient not equal to zero
coeff = lr_model.params
coeff_df = pd.DataFrame({'feature':coeff.index, 'coefficient':coeff.values})
coeff_df = coeff_df.sort_values(by=['coefficient'], ascending=[False])
coeff_df_ordered = coeff_df[['feature','coefficient']].copy()
coeff_df_filtered = coeff_df_ordered.loc[coeff_df_ordered['coefficient'] != 0.0]
# Export the list of columns selected in a .txt file
columns_selected_1 = (coeff_df_filtered.feature.unique()).tolist()
# CASE 2 ---------------------------------------------------------------------------------------------------------
model_gene_df_train = model_gene_df_train2.copy()
model_gene_df_test = model_gene_df_test2.copy()
# Select the best 'alpha' value in Lasso Regression:
# Define the target and the predictors
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Create lasso regression with multiple possible alpha values
regr_cv = LassoCV(alphas=[0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10], cv=5)
# Fit the linear regression
model_cv = regr_cv.fit(X_train, y_train)
# Extract the best alpha value
best_alpha = model_cv.alpha_
# Execute the LASSO regression according to the selected 'alpha' to select the most relevant fetaures:
# Define the features (predictors X) and the target (label y)
X = model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1)
y = model_gene_df_train['EXPRESSION ('+current_gene+')']
# Add an intercept to our model
X = sm.add_constant(X)
# Define the regression object and fit the model
lr_model = sm.OLS(y, X).fit_regularized(alpha=best_alpha, L1_wt=1)
# Extract the coefficients assigned to each feature and select only the features with a coefficient not equal to zero
coeff = lr_model.params
coeff_df = pd.DataFrame({'feature':coeff.index, 'coefficient':coeff.values})
coeff_df = coeff_df.sort_values(by=['coefficient'], ascending=[False])
coeff_df_ordered = coeff_df[['feature','coefficient']].copy()
coeff_df_filtered = coeff_df_ordered.loc[coeff_df_ordered['coefficient'] != 0.0]
# Export the list of columns selected in a .txt file
columns_selected_2 = (coeff_df_filtered.feature.unique()).tolist()
# CASE 3 ---------------------------------------------------------------------------------------------------------
model_gene_df_train = model_gene_df_train3.copy()
model_gene_df_test = model_gene_df_test3.copy()
# Select the best 'alpha' value in Lasso Regression:
# Define the target and the predictors
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Create lasso regression with multiple possible alpha values
regr_cv = LassoCV(alphas=[0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10], cv=5)
# Fit the linear regression
model_cv = regr_cv.fit(X_train, y_train)
# Extract the best alpha value
best_alpha = model_cv.alpha_
# Execute the LASSO regression according to the selected 'alpha' to select the most relevant fetaures:
# Define the features (predictors X) and the target (label y)
X = model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1)
y = model_gene_df_train['EXPRESSION ('+current_gene+')']
# Add an intercept to our model
X = sm.add_constant(X)
# Define the regression object and fit the model
lr_model = sm.OLS(y, X).fit_regularized(alpha=best_alpha, L1_wt=1)
# Extract the coefficients assigned to each feature and select only the features with a coefficient not equal to zero
coeff = lr_model.params
coeff_df = pd.DataFrame({'feature':coeff.index, 'coefficient':coeff.values})
coeff_df = coeff_df.sort_values(by=['coefficient'], ascending=[False])
coeff_df_ordered = coeff_df[['feature','coefficient']].copy()
coeff_df_filtered = coeff_df_ordered.loc[coeff_df_ordered['coefficient'] != 0.0]
# Export the list of columns selected in a .txt file
columns_selected_3 = (coeff_df_filtered.feature.unique()).tolist()
# CASE 4 ---------------------------------------------------------------------------------------------------------
model_gene_df_train = model_gene_df_train4.copy()
model_gene_df_test = model_gene_df_test4.copy()
# Select the best 'alpha' value in Lasso Regression:
# Define the target and the predictors
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Create lasso regression with multiple possible alpha values
regr_cv = LassoCV(alphas=[0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10], cv=5)
# Fit the linear regression
model_cv = regr_cv.fit(X_train, y_train)
# Extract the best alpha value
best_alpha = model_cv.alpha_
# Execute the LASSO regression according to the selected 'alpha' to select the most relevant fetaures:
# Define the features (predictors X) and the target (label y)
X = model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1)
y = model_gene_df_train['EXPRESSION ('+current_gene+')']
# Add an intercept to our model
X = sm.add_constant(X)
# Define the regression object and fit the model
lr_model = sm.OLS(y, X).fit_regularized(alpha=best_alpha, L1_wt=1)
# Extract the coefficients assigned to each feature and select only the features with a coefficient not equal to zero
coeff = lr_model.params
coeff_df = pd.DataFrame({'feature':coeff.index, 'coefficient':coeff.values})
coeff_df = coeff_df.sort_values(by=['coefficient'], ascending=[False])
coeff_df_ordered = coeff_df[['feature','coefficient']].copy()
coeff_df_filtered = coeff_df_ordered.loc[coeff_df_ordered['coefficient'] != 0.0]
# Export the list of columns selected in a .txt file
columns_selected_4 = (coeff_df_filtered.feature.unique()).tolist()
# CASE 5 ---------------------------------------------------------------------------------------------------------
model_gene_df_train = model_gene_df_train5.copy()
model_gene_df_test = model_gene_df_test5.copy()
# Select the best 'alpha' value in Lasso Regression:
# Define the target and the predictors
X_train = np.array(model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1))
X_test = np.array(model_gene_df_test.drop(['EXPRESSION ('+current_gene+')'],1))
y_train = np.array(model_gene_df_train['EXPRESSION ('+current_gene+')'])
y_test = np.array(model_gene_df_test['EXPRESSION ('+current_gene+')'])
# Create lasso regression with multiple possible alpha values
regr_cv = LassoCV(alphas=[0.01, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10], cv=5)
# Fit the linear regression
model_cv = regr_cv.fit(X_train, y_train)
# Extract the best alpha value
best_alpha = model_cv.alpha_
# Execute the LASSO regression according to the selected 'alpha' to select the most relevant fetaures:
# Define the features (predictors X) and the target (label y)
X = model_gene_df_train.drop(['EXPRESSION ('+current_gene+')'],1)
y = model_gene_df_train['EXPRESSION ('+current_gene+')']
# Add an intercept to our model
X = sm.add_constant(X)
# Define the regression object and fit the model
lr_model = sm.OLS(y, X).fit_regularized(alpha=best_alpha, L1_wt=1)
# Extract the coefficients assigned to each feature and select only the features with a coefficient not equal to zero
coeff = lr_model.params
coeff_df = pd.DataFrame({'feature':coeff.index, 'coefficient':coeff.values})
coeff_df = coeff_df.sort_values(by=['coefficient'], ascending=[False])
coeff_df_ordered = coeff_df[['feature','coefficient']].copy()
coeff_df_filtered = coeff_df_ordered.loc[coeff_df_ordered['coefficient'] != 0.0]
# Export the list of columns selected in a .txt file
columns_selected_5 = (coeff_df_filtered.feature.unique()).tolist()
# Export the list of columns selected in a .txt file
features_selected = list(set(columns_selected_1) & set(columns_selected_2) & set(columns_selected_3) & set(columns_selected_4) & set(columns_selected_5))
with open ('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+model+'/Features-Gene_'+gene_ID+'_['+current_gene+'].txt', 'w') as fp:
features_selected_sorted = sorted(features_selected)
for i in features_selected_sorted:
fp.write('%s\n' % i)
summary_results_df.set_value(current_gene, 'N° Features Selected', len(features_selected))
# Export the summary dataframe in an Excel file
writer = ExcelWriter('./5_Data_Analysis/'+gene_set+'/FeatureSelection/M'+model+'/Feature_Selection_SUMMARY.xlsx')
summary_results_df.to_excel(writer,'Sheet1')
writer.save()
| 47.497103
| 451
| 0.705489
| 6,139
| 40,990
| 4.4403
| 0.072162
| 0.064052
| 0.074654
| 0.023478
| 0.82193
| 0.811915
| 0.809861
| 0.795957
| 0.772919
| 0.764371
| 0
| 0.01368
| 0.163625
| 40,990
| 863
| 452
| 47.497103
| 0.78097
| 0.345011
| 0
| 0.746512
| 0
| 0
| 0.11808
| 0.016365
| 0
| 0
| 0
| 0
| 0
| 1
| 0.002326
| false
| 0
| 0.018605
| 0
| 0.02093
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
f586c021fd1195784e53e52bb019c0c529465c98
| 158
|
py
|
Python
|
__init__.py
|
aviatesk/Keras-VGG16-places365
|
adfc2a59f99442b292c96c6cd799388b89db42d9
|
[
"MIT"
] | null | null | null |
__init__.py
|
aviatesk/Keras-VGG16-places365
|
adfc2a59f99442b292c96c6cd799388b89db42d9
|
[
"MIT"
] | null | null | null |
__init__.py
|
aviatesk/Keras-VGG16-places365
|
adfc2a59f99442b292c96c6cd799388b89db42d9
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from . import vgg16_places_365
from . import vgg16_hybrid_places_1365
from . import places_utils
if __name__ == '__main__':
pass
| 19.75
| 38
| 0.721519
| 22
| 158
| 4.545455
| 0.681818
| 0.3
| 0.3
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091603
| 0.170886
| 158
| 7
| 39
| 22.571429
| 0.671756
| 0.132911
| 0
| 0
| 0
| 0
| 0.059259
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 8
|
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