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string
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int64
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string
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string
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string
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max_issues_repo_licenses
list
max_issues_count
int64
max_issues_repo_issues_event_min_datetime
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max_issues_repo_issues_event_max_datetime
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string
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string
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string
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string
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float64
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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
8bff289fee0564050c0fdeb1e26fa1cfcdb3e115
76
py
Python
lesson_tasks/lesson4/num2.1.py
NikaEgorova/goiteens-python3-egorova
809059abf3464cbe4f0f116e52ce53534a0ca5ba
[ "MIT" ]
null
null
null
lesson_tasks/lesson4/num2.1.py
NikaEgorova/goiteens-python3-egorova
809059abf3464cbe4f0f116e52ce53534a0ca5ba
[ "MIT" ]
null
null
null
lesson_tasks/lesson4/num2.1.py
NikaEgorova/goiteens-python3-egorova
809059abf3464cbe4f0f116e52ce53534a0ca5ba
[ "MIT" ]
null
null
null
boy_have = ['pen', 'pencil', 'rubber', 'candy', 'gum'] print(len(boy_have))
25.333333
54
0.618421
11
76
4.090909
0.818182
0.311111
0
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0
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0.105263
76
2
55
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0
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1
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4
e30aa212e5938a3204c29d100994a0bdee74978d
236
py
Python
server/budgettrackerbackend/budgets/admin.py
gmulz/budget-tracker-2
0abc144d50420875853e89080ec5cac27cc256a4
[ "MIT" ]
null
null
null
server/budgettrackerbackend/budgets/admin.py
gmulz/budget-tracker-2
0abc144d50420875853e89080ec5cac27cc256a4
[ "MIT" ]
null
null
null
server/budgettrackerbackend/budgets/admin.py
gmulz/budget-tracker-2
0abc144d50420875853e89080ec5cac27cc256a4
[ "MIT" ]
null
null
null
from django.contrib import admin # Register your models here. from .models import Transaction, Category, User, Income admin.site.register(Transaction) admin.site.register(Category) admin.site.register(User) admin.site.register(Income)
26.222222
55
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1
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0
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4
e30b9ed6b2134e7304c1832161c85928883543a9
10,873
py
Python
DatabaseOperation.py
Must-Student/Must-ExchangeRoom
f506eab36f39a4dafa3071aae2814e5a101a8a56
[ "Apache-2.0" ]
1
2020-09-04T09:47:29.000Z
2020-09-04T09:47:29.000Z
DatabaseOperation.py
Must-Student/Must-ExchangeRoom
f506eab36f39a4dafa3071aae2814e5a101a8a56
[ "Apache-2.0" ]
2
2020-09-04T09:40:33.000Z
2020-09-14T10:52:53.000Z
DatabaseOperation.py
Must-Student/Must-ExchangeRoom
f506eab36f39a4dafa3071aae2814e5a101a8a56
[ "Apache-2.0" ]
2
2021-05-13T03:00:12.000Z
2021-05-17T09:19:20.000Z
#!/usr/bin/env python3 # coding:utf-8 import pymysql import hashlib def md5(password): password=password.encode(encoding='utf-8') hashedPassword=hashlib.md5() hashedPassword.update(password) return (hashedPassword.hexdigest()) sqlservername='servernamehere' sqluser='usernamehere' sqlpasswd='passwordhere' sqldatabase='databasenamehere' def CheckIfUserExist(emailaddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'select EmailAddress from ' + sqldatabase + '.AccountInfo where EmailAddress =' + "'" + emailaddress + "'" check.execute(sql) temp=check.fetchone() temp= list(str(temp).replace('(', '').replace(')', '').replace("'", "").split(',')) if temp[0]==emailaddress: return 0 else: return 1 def adduser(EmailAddress,UserName,ContactInfo,PassWord,IsVerified,Sex,Address,Model,IdealAddress,IdealModel,Note): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "insert into ExchangeRoom.AccountInfo (EmailAddress,UserName,ContactInfo,PassWord,IsVerified,Md5,Sex,Address,Model,IdealAddress,IdealModel,Note,AssociateEmail,MyDeal) VALUES (" + "'" + EmailAddress + "'" + ","+"'" + UserName + "'" + ","+"'" + ContactInfo + "'" + ","+"'" + PassWord + "'" + ","+"'" + IsVerified + "'" + ","+"'" + str(md5(PassWord))+'2020' + "'" + ","+ "'" + Sex + "'"+ ","+"'" + Address + "'" + ","+"'" + Model + "'" + ","+"'" + IdealAddress + "'" + ","+"'" + IdealModel + "'" + ","+"'" + Note + "'"+ ","+"'" + EmailAddress + "'"+ ","+"'" + '0' + "'" + ")" check.execute(sql) db.commit() #SecSql="insert into ExchangeRoom.AccountInfo (Address,Model,IdealAddress,IdealModel,Note,AssociateEmail) VALUES ("+"'" + Address + "'" + ","+"'" + Model + "'" + ","+"'" + IdealAddress + "'" + ","+"'" + IdealModel + "'" + ","+"'" + Note + "'"+ ","+"'" + EmailAddress + "'" + ")" #check.execute(SecSql) #db.commit() db.close() return 1 def CheckVerifyCode(VerifyCode,EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'select IsVerified from ' + sqldatabase + '.AccountInfo where EmailAddress =' + "'" + EmailAddress + "'" check.execute(sql) a = check.fetchone() a = list(str(a).replace('(', '').replace(')', '').replace("'", "").split(',')) if a[0] == VerifyCode: return 1 else: return 0 def UpdateIsVerified(EmailAddress,VerifyCode): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql='update '+sqldatabase+'.AccountInfo set IsVerified='+VerifyCode+' where EmailAddress='+ "'" +EmailAddress+ "'" check.execute(sql) db.commit() db.close() return 1 def ReadMd5(EmailAddress): try: db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'select Md5 from ' + sqldatabase + '.AccountInfo where EmailAddress =' + "'" + str(EmailAddress) + "'" # print(sql) check.execute(sql) a = check.fetchone() a = list(str(a).replace('(', '').replace(')', '').replace("'", "").split(',')) # print(a) if a[0] is not None: return a[0] else: return 0 except: return 0 def CheckEmailAddressPassWord(EmailAddress,PassWord): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'select PassWord from ' + sqldatabase + '.AccountInfo where EmailAddress =' + "'" + EmailAddress + "'" check.execute(sql) a = check.fetchone() a = list(str(a).replace('(', '').replace(')', '').replace("'", "").split(',')) if a[0] == PassWord: return 1 else: return 0 def ReturnAllData(Sex): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select UserName, Sex, Address, Model, ContactInfo, Note,IdealAddress, IdealModel, MyDeal from ExchangeRoom.AccountInfo where Sex="+"'"+Sex+"'" check.execute(sql) a = check.fetchall() #print(a) return a def ReturnSexFromEmail(EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select Sex from ExchangeRoom.AccountInfo where EmailAddress="+"'"+EmailAddress+"'" check.execute(sql) a = check.fetchone() return a[0] def ReturnInfoFromSexAndModel(Sex,Model): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select UserName, Sex, Address, Model, ContactInfo, Note,IdealAddress, IdealModel, MyDeal from ExchangeRoom.AccountInfo where Sex="+"'"+Sex+"'"+" and Model="+"'"+Model+"'" check.execute(sql) a = check.fetchall() # print(a) return a def ReturnInfoFromSexAndAddress(Sex,Address): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select UserName, Sex, Address, Model, ContactInfo, Note,IdealAddress, IdealModel, MyDeal from ExchangeRoom.AccountInfo where Sex=" + "'" + Sex + "'" + " and Address=" + "'" + Address + "'" check.execute(sql) a = check.fetchall() # print(a) return a def ReturnInfoFromSexAndAddressAndModel(Sex,Address,Model): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select UserName, Sex, Address, Model, ContactInfo, Note,IdealAddress, IdealModel, MyDeal from ExchangeRoom.AccountInfo where Sex=" + "'" + Sex + "'" + " and Address=" + "'" + Address + "'"+ " and Model=" + "'" + Model + "'" check.execute(sql) a = check.fetchall() # print(a) return a def ReturnInfoFromSexIdealAddressIdealModel(Sex,IdealAddress,IdealModel,Address,Model): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql='' if IdealModel=='0': if IdealAddress=='0': sql="select EmailAddress, UserName, Sex, Address, Model, ContactInfo, Note,MyDeal from ExchangeRoom.AccountInfo where Sex=" + "'" + Sex + "'" + " and (IdealAddress='0' or IdealAddress=" + "'" + Address + "')"+ " and (IdealModel='0' or IdealModel=" + "'" + Model + "')" else: sql = "select EmailAddress, UserName, Sex, Address, Model, ContactInfo, Note,MyDeal from ExchangeRoom.AccountInfo where Sex=" + "'" + Sex + "'" + " and Address=" + "'" + IdealAddress + "'" + + " and (IdealAddress='0' or IdealAddress='" + "'" + Address + "')" + " and (IdealModel='0' or IdealModel=" + "'" + Model + "')" else: if IdealAddress=='0': sql = "select EmailAddress, UserName, Sex, Address, Model, ContactInfo, Note,MyDeal from ExchangeRoom.AccountInfo where Sex=" + "'" + Sex + "'" + " and Model=" + "'" + IdealModel + "'" + " and (IdealAddress='0' or IdealAddress=" + "'" + Address + "')" + " and (IdealModel='0' or IdealModel=" + "'" + Model + "')" else: sql = "select EmailAddress, UserName, Sex, Address, Model, ContactInfo, Note,MyDeal from ExchangeRoom.AccountInfo where Sex=" + "'" + Sex + "'" + " and Address=" + "'" + IdealAddress + "'" + " and Model=" + "'" + IdealModel + "'" + " and (IdealAddress='0' or IdealAddress=" + "'" + Address + "')" + " and (IdealModel='0' or IdealModel=" + "'" + Model + "')" #print(sql) check.execute(sql) a = check.fetchall() # print(a) return a def ReturnEmailAddressIsVerified(EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select IsVerified from ExchangeRoom.AccountInfo where EmailAddress=" + "'" + EmailAddress + "'" try : check.execute(sql) a=check.fetchone() if a[0]=='1': return 1 else: return 0 except: return 0 def ReturnInfoFromEmailAddress(EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select UserName, Sex, Address, Model, ContactInfo, Note,IdealAddress, IdealModel, MyDeal from ExchangeRoom.AccountInfo where EmailAddress=" + "'" + EmailAddress + "'" check.execute(sql) a = check.fetchone() # print(a) return a def CheckEmailAddressAlreadyExist(EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = "select EmailAddress from ExchangeRoom.AccountInfo where EmailAddress=" + "'" + EmailAddress + "'" try: check.execute(sql) a = check.fetchone() print(a) if a[0]==EmailAddress: return 1 if a[0]=='': return 0 except: return 0 def UpdateUserInfo(UserName,ContactInfo,Address,Model,IdealAddress,IdealModel,Note,EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql='update '+sqldatabase+'.AccountInfo set Username='+"'"+UserName+"',"+' ContactInfo='+"'"+ContactInfo+"',"+' Address='+"'"+Address+"',"+' Model='+"'"+Model+"',"+' IdealAddress='+"'"+IdealAddress+"',"+' IdealModel='+"'"+IdealModel+"',"+' Note='+"'"+Note+"'"+' where EmailAddress='+"'"+EmailAddress+"';" print(sql) check.execute(sql) db.commit() db.close() return 1 def UpdateBackupEmailAddressByEmailAddress(BackupEmailAddress,EmailAddress,IsVerified): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'update ' + sqldatabase + '.AccountInfo set BackupEmailAddress=' + "'" + BackupEmailAddress + "'," +' IsVerified='+ "'" + IsVerified + "'"+' where EmailAddress=' + "'" + EmailAddress + "'" print(sql) check.execute(sql) db.commit() db.close() return 1 def CheckBackupEmailAddressByEmailAddress(EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'select BackupEmailAddress from ExchangeRoom.AccountInfo where EmailAddress=' + "'" + EmailAddress + "'" print(sql) check.execute(sql) a = check.fetchone() print(a) db.commit() db.close() if (a[0]=='') or (str(a[0])=='None'): return 0 else: return 1 def DeleteUser(EmailAddress): db = pymysql.connect(sqlservername, sqluser, sqlpasswd, sqldatabase) check = db.cursor() sql = 'delete from ExchangeRoom.AccountInfo where EmailAddress='+"'" + EmailAddress + "'" print(sql) check.execute(sql) a = check.fetchone() print(a) db.commit() db.close() return 1
44.744856
583
0.611515
1,032
10,873
6.442829
0.096899
0.036096
0.045721
0.08287
0.791698
0.75079
0.685817
0.672733
0.670928
0.657994
0
0.006816
0.217419
10,873
242
584
44.929752
0.774592
0
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0.684729
0
0.049261
0.266536
0.04789
0.108374
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null
null
0.147783
0.009852
null
null
0.034483
0
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null
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1
0
0
1
0
0
0
0
0
4
e33c465c53389e53fd469e737e4105c56dbb3912
231
py
Python
backend/django/admins/models.py
IndiaCFG2/team-19
219adab32d3a4999a553ac3fcae0e1b2f3c3b13d
[ "MIT" ]
null
null
null
backend/django/admins/models.py
IndiaCFG2/team-19
219adab32d3a4999a553ac3fcae0e1b2f3c3b13d
[ "MIT" ]
null
null
null
backend/django/admins/models.py
IndiaCFG2/team-19
219adab32d3a4999a553ac3fcae0e1b2f3c3b13d
[ "MIT" ]
null
null
null
from django.db import models # Create your models here. class PolicyCreation(models.Model): policyname= models.CharField(max_length=100) description= models.TextField() def __str__(self): return self.policyname
28.875
48
0.744589
28
231
5.964286
0.785714
0
0
0
0
0
0
0
0
0
0
0.015625
0.168831
231
8
49
28.875
0.854167
0.103896
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0.166667
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
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0
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1
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0
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0
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null
0
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0
0
0
0
0
0
1
1
0
0
4
e34e6dbb0cdad1f396a51ab5f503e71890d35d56
35
py
Python
PycharmProjects/CursoStrings/main.py
FeFSRibeiro/learning-python
4f642aa7e1c6523f5209f83ece7e974bfb3ef24e
[ "Apache-2.0" ]
null
null
null
PycharmProjects/CursoStrings/main.py
FeFSRibeiro/learning-python
4f642aa7e1c6523f5209f83ece7e974bfb3ef24e
[ "Apache-2.0" ]
null
null
null
PycharmProjects/CursoStrings/main.py
FeFSRibeiro/learning-python
4f642aa7e1c6523f5209f83ece7e974bfb3ef24e
[ "Apache-2.0" ]
null
null
null
meuNome = "Fernanda" print(meuNome)
17.5
20
0.771429
4
35
6.75
0.75
0
0
0
0
0
0
0
0
0
0
0
0.085714
35
2
21
17.5
0.84375
0
0
0
0
0
0.222222
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
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0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
4
e35fe7ad03cb66bc09be1a8ae5111606cb2a8d95
88
py
Python
src/fintrist_ds/listening.py
tristanbrown/fintrist
38875e4f2c3ab4db31195c798c4262a2f51e4a22
[ "MIT" ]
null
null
null
src/fintrist_ds/listening.py
tristanbrown/fintrist
38875e4f2c3ab4db31195c798c4262a2f51e4a22
[ "MIT" ]
null
null
null
src/fintrist_ds/listening.py
tristanbrown/fintrist
38875e4f2c3ab4db31195c798c4262a2f51e4a22
[ "MIT" ]
1
2022-01-21T21:10:38.000Z
2022-01-21T21:10:38.000Z
"""Module that creates the listener app receiving run commands from the scheduler."""
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0
0
0
0
0
4
e36a2a31524f79a33ba549723e1ac367a821a936
144
py
Python
ca_on_peel/people.py
djac/scrapers-ca
2e16a85ff8a05ea49031a11ede66fa452631f8da
[ "MIT" ]
null
null
null
ca_on_peel/people.py
djac/scrapers-ca
2e16a85ff8a05ea49031a11ede66fa452631f8da
[ "MIT" ]
null
null
null
ca_on_peel/people.py
djac/scrapers-ca
2e16a85ff8a05ea49031a11ede66fa452631f8da
[ "MIT" ]
null
null
null
from utils import CSVScraper class PeelPersonScraper(CSVScraper): csv_url = 'http://opendata.peelregion.ca/media/33531/wards1418_csv.csv'
24
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0.791667
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144
6.222222
0.833333
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0.104167
144
5
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28.8
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1
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4
8b4bed9e646dcdc11367200583a021a03786197c
477
py
Python
app/main/errors.py
Forec/cloud-monitor
79037d7372bf3ff499562fab351fc35433c6e2f5
[ "0BSD" ]
6
2017-03-18T09:45:55.000Z
2018-05-31T07:05:51.000Z
app/main/errors.py
Forec/cloud-monitor
79037d7372bf3ff499562fab351fc35433c6e2f5
[ "0BSD" ]
null
null
null
app/main/errors.py
Forec/cloud-monitor
79037d7372bf3ff499562fab351fc35433c6e2f5
[ "0BSD" ]
2
2017-01-22T10:01:54.000Z
2018-04-13T00:02:14.000Z
# 作者:Forec # 最后修改时间:2017-01-01 # 邮箱:forec@bupt.edu.cn # 关于此文件:包含了应用处理错误的视图函数 from . import main from flask import render_template # 处理 403 错误入口 @main.app_errorhandler(403) def forbidden(e): return render_template('error/403.html'), 403 # 处理 404 错误入口 @main.app_errorhandler(404) def page_not_found(e): return render_template('error/404.html'), 404 # 处理 500 错误入口 @main.app_errorhandler(500) def internal_server_error(e): return render_template('error/500.html'), 500
21.681818
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0.754717
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477
4.592105
0.460526
0.160458
0.094556
0.197708
0.223496
0
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0
0.105012
0.121593
477
22
50
21.681818
0.727924
0.218029
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0.272727
false
0
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0.272727
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null
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1
0
0
0
1
1
0
0
4
8b5cd05a44122284ad0cd99e62ec5f12b165a744
581
py
Python
creme/conftest.py
Leo-VK/creme
0b02df4f4c826368747ee91946efca1a7e8653a6
[ "BSD-3-Clause" ]
23
2020-11-21T22:09:24.000Z
2022-03-21T22:33:07.000Z
creme/conftest.py
53X/creme
3b397d6aafdfad48dbb36813c90ed3fd1844fc30
[ "BSD-3-Clause" ]
null
null
null
creme/conftest.py
53X/creme
3b397d6aafdfad48dbb36813c90ed3fd1844fc30
[ "BSD-3-Clause" ]
1
2021-04-25T16:24:43.000Z
2021-04-25T16:24:43.000Z
collect_ignore = [] try: import sklearn except ImportError: collect_ignore.append('compat/sklearn.py') collect_ignore.append('compat/test_sklearn.py') try: import sqlalchemy except ImportError: collect_ignore.append('stream/iter_sql.py') collect_ignore.append('stream/test_sql.py') try: import surprise except ImportError: collect_ignore.append('reco/surprise.py') try: import torch except ImportError: collect_ignore.append('compat/pytorch.py') try: import vaex except ImportError: collect_ignore.append('stream/iter_vaex.py')
20.034483
51
0.741824
73
581
5.739726
0.273973
0.24821
0.317422
0.357995
0.505967
0.420048
0.21957
0
0
0
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0
0.151463
581
28
52
20.75
0.849899
0
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0
0
0.218589
0.037866
0
0
0
0
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1
0
false
0
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0
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1
1
1
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0
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0
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0
0
0
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null
0
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0
0
0
0
1
0
0
0
0
4
8b97642d848a0656cd9cebd2a8634db13f714e58
257
py
Python
crossbaker/test/test_baker.py
josephkirk/MeshBaker
e4f75193074cc92d12f953d6cad3a2a599f63ead
[ "MIT" ]
null
null
null
crossbaker/test/test_baker.py
josephkirk/MeshBaker
e4f75193074cc92d12f953d6cad3a2a599f63ead
[ "MIT" ]
5
2018-10-09T02:43:14.000Z
2018-10-12T13:00:09.000Z
crossbaker/test/test_baker.py
josephkirk/CrossBaker
e4f75193074cc92d12f953d6cad3a2a599f63ead
[ "MIT" ]
null
null
null
import pytest def test_run_current_baker(): import crossbaker print("exec {} baker using arguments: {}".format( crossbaker.bakers.current().path, crossbaker.bakers.current().mod.get())) crossbaker.bakers.current().run() assert False
32.125
81
0.700389
30
257
5.9
0.633333
0.271186
0.389831
0
0
0
0
0
0
0
0
0
0.159533
257
8
82
32.125
0.819444
0
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0.127907
0
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0
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0
0.142857
1
0.142857
true
0
0.285714
0
0.428571
0.142857
0
0
0
null
1
1
0
0
0
0
0
0
0
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0
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0
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0
0
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null
0
0
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0
0
1
0
0
0
0
0
0
4
8ba496ad06e25f0777fc9b65483bb79a5e4dc21f
2,624
py
Python
python/test/test_exchange_datetime_functions.py
alexandru-porcescu/ccxt
438276f2c476ae24e7cede3cf9c192caababedfa
[ "MIT" ]
null
null
null
python/test/test_exchange_datetime_functions.py
alexandru-porcescu/ccxt
438276f2c476ae24e7cede3cf9c192caababedfa
[ "MIT" ]
null
null
null
python/test/test_exchange_datetime_functions.py
alexandru-porcescu/ccxt
438276f2c476ae24e7cede3cf9c192caababedfa
[ "MIT" ]
null
null
null
from unittest import TestCase import os import sys # ------------------------------------------------------------------------------ root = os.path.dirname(os.path.abspath(__file__)) sys.path.append(root) # ------------------------------------------------------------------------------ import ccxt # noqa: E402 # ------------------------------------------------------------------------------ exchange = ccxt.Exchange() class TestExchange(TestCase): def test_iso8601(self): self.assertEqual(exchange.iso8601(714862627000), '1992-08-26T20:57:07.000Z') self.assertEqual(exchange.iso8601(0), '1970-01-01T00:00:00.000Z') self.assertEqual(exchange.iso8601(None), None) self.assertEqual(exchange.iso8601(), None) self.assertEqual(exchange.iso8601(-1), None) self.assertEqual(exchange.iso8601({}), None) self.assertEqual(exchange.iso8601(''), None) self.assertEqual(exchange.iso8601('a'), None) self.assertEqual(exchange.iso8601([]), None) self.assertEqual(exchange.iso8601([1]), None) def test_parse_date(self): self.assertEqual(exchange.parse_date('1996-04-26 00:00:00'), 830476800000) self.assertEqual(exchange.parse_date('1996-04-26T01:23:47.000Z'), 830481827000) self.assertEqual(exchange.parse_date('1996-13-13 00:00:00'), None) self.assertEqual(exchange.parse_date('Sun, 18 Mar 2012 05:50:34 GMT'), 1332049834000) self.assertEqual(exchange.parse_date('GMT'), None) self.assertEqual(exchange.parse_date('42 GMT'), None) self.assertEqual(exchange.parse_date(None), None) self.assertEqual(exchange.parse_date(), None) self.assertEqual(exchange.parse_date(1), None) self.assertEqual(exchange.parse_date({}), None) self.assertEqual(exchange.parse_date([]), None) self.assertEqual(exchange.parse_date([1]), None) def test_parse8601(self): self.assertEqual(exchange.parse8601('1986-04-26T01:23:47.000Z'), 514862627000) self.assertEqual(exchange.parse8601('1986-14-26T23:01:47.000Z'), None) self.assertEqual(exchange.parse8601('1986-04-26T25:71:47.000Z'), None) self.assertEqual(exchange.parse8601(None), None) self.assertEqual(exchange.parse8601(), None) self.assertEqual(exchange.parse8601(''), None) self.assertEqual(exchange.parse8601('1'), None) self.assertEqual(exchange.parse8601(1), None) self.assertEqual(exchange.parse8601({}), None) self.assertEqual(exchange.parse8601([]), None) self.assertEqual(exchange.parse8601([1]), None)
39.757576
93
0.621951
290
2,624
5.558621
0.227586
0.307072
0.470844
0.401985
0.754963
0.651985
0.577543
0.427419
0.427419
0.427419
0
0.138676
0.153582
2,624
65
94
40.369231
0.587123
0.094131
0
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0.060708
0
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0.75
1
0.068182
false
0
0.090909
0
0.181818
0
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null
1
1
1
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0
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0
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0
0
0
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0
0
0
0
4
8baf4e589eaa2e9c9659dfc53151f926bb544501
3,489
py
Python
pyramid_request_log/tests/test_config.py
MoiTux/pyramid-request-log
31852bbf09e4f416f93c7720ecd9eca8cfe32d38
[ "MIT" ]
1
2017-08-07T10:22:16.000Z
2017-08-07T10:22:16.000Z
pyramid_request_log/tests/test_config.py
MoiTux/pyramid-request-log
31852bbf09e4f416f93c7720ecd9eca8cfe32d38
[ "MIT" ]
null
null
null
pyramid_request_log/tests/test_config.py
MoiTux/pyramid-request-log
31852bbf09e4f416f93c7720ecd9eca8cfe32d38
[ "MIT" ]
null
null
null
from __future__ import absolute_import from unittest import TestCase from pyramid.config import Configurator from testfixtures import log_capture from .. import config, request_log class TestConfig(TestCase): def tearDown(self): request_log.unlog_pattern = None request_log.authenticated_id = '' @log_capture() def test_no_conf(self, log): config.includeme(Configurator()) log.check( ( 'pyramid_request_log.config', 'WARNING', 'No pyramid_request_log.pattern found in settings', ), ) self.assertIsNone(request_log.unlog_pattern) self.assertEqual(request_log.authenticated_id, '') @log_capture() def test_conf(self, log): conf = Configurator() conf.registry.settings.update({ 'pyramid_request_log.pattern': '\npassword', 'pyramid_request_log.ignore_route': '\n/monitoring', 'pyramid_request_log.authenticated_id': 'me', }) config.includeme(conf) log.check( ( 'pyramid_request_log.config', 'INFO', "Pyramid-Request-Log will ignore keys: ['password']", ), ( 'pyramid_request_log.config', 'INFO', "Pyramid-Request-Log will ignore routes: ['/monitoring']", ), ) self.assertEqual(request_log.unlog_pattern.pattern, '(password)') self.assertEqual(request_log.unlog_route.pattern, '(/monitoring)') self.assertEqual(request_log.authenticated_id, 'me') @log_capture() def test_conf_list(self, log): conf = Configurator() conf.registry.settings.update({ 'pyramid_request_log.pattern': '\npassword\npwd', 'pyramid_request_log.ignore_route': '\n^/api.*\n/v5$', 'pyramid_request_log.authenticated_id': 'me', }) config.includeme(conf) log.check( ( 'pyramid_request_log.config', 'INFO', "Pyramid-Request-Log will ignore keys: ['password', 'pwd']", ), ( 'pyramid_request_log.config', 'INFO', "Pyramid-Request-Log will ignore routes: ['^/api.*', '/v5$']", ), ) self.assertEqual(request_log.unlog_pattern.pattern, '(password)|(pwd)') self.assertEqual(request_log.unlog_route.pattern, '(^/api.*)|(/v5$)') self.assertEqual(request_log.authenticated_id, 'me') @log_capture() def test_conf_empty(self, log): conf = Configurator() conf.registry.settings.update({ 'pyramid_request_log.pattern': '', 'pyramid_request_log.ignore_route': '', 'pyramid_request_log.authenticated_id': 'me', }) config.includeme(conf) log.check( ( 'pyramid_request_log.config', 'INFO', ('Pyramid-Request-Log will ignore no key: ' 'variable define but empty'), ), ( 'pyramid_request_log.config', 'INFO', ('Pyramid-Request-Log will ignore no route: ' 'variable define but empty'), ), ) self.assertIsNone(request_log.unlog_pattern) self.assertEqual(request_log.authenticated_id, 'me')
33.228571
79
0.554887
330
3,489
5.618182
0.172727
0.194175
0.210895
0.107875
0.790723
0.762675
0.709277
0.662891
0.574973
0.574973
0
0.001278
0.327028
3,489
104
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33.548077
0.78833
0
0
0.531915
0
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0.292061
0.141588
0
0
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0
0.106383
1
0.053191
false
0.06383
0.053191
0
0.117021
0
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null
0
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1
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0
0
1
0
0
0
0
0
4
8bb05361144f612ccb4e9cb29d313110c2b194cf
15,584
py
Python
src/loanforms/models.py
Deepak27004/carecoop
01229c1f9d1c89e595d7f4ca62a07e780522118b
[ "MIT" ]
null
null
null
src/loanforms/models.py
Deepak27004/carecoop
01229c1f9d1c89e595d7f4ca62a07e780522118b
[ "MIT" ]
null
null
null
src/loanforms/models.py
Deepak27004/carecoop
01229c1f9d1c89e595d7f4ca62a07e780522118b
[ "MIT" ]
5
2017-11-06T14:15:19.000Z
2020-10-02T14:51:37.000Z
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models from django.utils.translation import ugettext_lazy as _ # Create your models here. """ This model represents the Revised Member Organisations Loan Form child under Loan Forms """ # class PersonalInformation(models.Model): # # B. PERSONAL INFORMATION (to be filled by loan applicant) # name = models.CharField(_("1. Members Name"),max_length=255, null=True, blank=True) # organisation = models.CharField(_("2. Member's Organisation"),max_length=255, null=True, blank=True) # member_number = models.CharField(_("3. Member's Number"),max_length=255, null=True, blank=True) # employee_number = models.CharField(_("4. Employee Number"),max_length=255, null=True, blank=True) # email_address = models.CharField(_("5. Email Address"),max_length=255, null=True, blank=True) # telephone = models.CharField(_("6. Contact telephone No."),max_length=255, null=True, blank=True) # physical_address = models.CharField(_("7. Physical Address"),max_length=255, null=True, blank=True) # postal_address = models.CharField(_("8. Postal Address"),max_length=255, null=True, blank=True) # length_of_membership = models.CharField(_("9. Length of Membership"),max_length=255, null=True, blank=True) # nrc_number = models.CharField(_("10. NRC No."),max_length=255, null=True, blank=True) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'PERSONAL INFORMATION' # verbose_name_plural = 'PERSONAL INFORMATIONS' # def __unicode__(self): # return self.name # class LoanApplication(models.Model): # # C. LOAN APPLICATION (to be filled by loan applicant) # amount_applied_for = models.CharField(_("1. Amount Applied for (K)"),max_length=255, null=True, blank=True) # amount_in_words = models.CharField(_("2. Amount in Words (K)"),max_length=255, null=True, blank=True) # period_repayment = models.CharField(_("3. Period of Repayment (months)"),max_length=255, null=True, blank=True) # purposes_for_the_loan = models.CharField(_("4. Purpose for the Loan"),max_length=255, null=True, blank=True) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'LOAN APPLICATION' # verbose_name_plural = 'LOAN APPLICATIONS' # def __unicode__(self): # return self.amount_applied_for # class LoanPaymentShareContribution(models.Model): # # D. LOAN REPAYMENT/SHARE CONTRIBUTION (to be filled in by Coop Loans Officer) # period_of_repayment = models.CharField(_("1. Period of Repayment (months)"),max_length=255, null=True, blank=True) # monthly_principal_deduction = models.CharField(_("2. Monthly Principal Deduction (K)"),max_length=255, null=True, blank=True) # monthly_interest_deduction = models.CharField(_("3. Monthly Interest Deduction (K)"),max_length=255, null=True, blank=True) # monthly_share_contribution = models.CharField(_("4. Monthly Share Contribution(K)"),max_length=255, null=True, blank=True) # total_care_coop_deduction = models.CharField(_("5. Total Care Coop Deduction (K)"),max_length=255, null=True, blank=True) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'LOANPAYMENTSHARECONTRIBUTION' # verbose_name_plural = 'LOANPAYMENTSHARECONTRIBUTIONS' # def __unicode__(self): # return self.period_repayment # class OutStandingLoans(models.Model): # # E. OUTSTANDING LOANS (to be filled by care coop loans officer) # premium_loan_amount = models.CharField(_("Premium Loan Amount (K)"),max_length=255, null=True, blank=True) # premium_balance = models.CharField(_("Premium Balance (K)"),max_length=255, null=True, blank=True) # premium_monthly_repayment = models.CharField(_("Premium Monthly repayment (K)"),max_length=255, null=True, blank=True) # ordinary_loan_amount = models.CharField(_("Ordinary Loan Amount (K)"),max_length=255, null=True, blank=True) # ordinary_balance = models.CharField(_("Ordinary Balance (K)"),max_length=255, null=True, blank=True) # ordinary_monthly_repayment = models.CharField(_("Ordinary Monthly repayment (K)"),max_length=255, null=True, blank=True) # rental_plus_loan_amount = models.CharField(_("Rental Plus Loan Amount (K)"),max_length=255, null=True, blank=True) # rental_plus_balance = models.CharField(_("Rental Plus Balance (K)"),max_length=255, null=True, blank=True) # rental_plus_monthly_repayment = models.CharField(_("Rental Plus Monthly repayment (K)"),max_length=255, null=True, blank=True) # education_loan_amount = models.CharField(_("Education Loan Amount (K)"),max_length=255, null=True, blank=True) # education_balance = models.CharField(_("Education Balance (K)"),max_length=255, null=True, blank=True) # education_monthly_repayment = models.CharField(_("Education Monthly repayment (K)"),max_length=255, null=True, blank=True) # emergency_loan_amount = models.CharField(_("Emergeny Loan Amount (K)"),max_length=255, null=True, blank=True) # emergency_balance = models.CharField(_("Emergeny Balance (K)"),max_length=255, null=True, blank=True) # emergency_monthly_repayment = models.CharField(_("Emergeny Monthly repayment (K)"),max_length=255, null=True, blank=True) # family_holiday_loan_amount = models.CharField(_("Family Holiday Loan Amount (K)"),max_length=255, null=True, blank=True) # family_holiday_balance = models.CharField(_("Family Holiday Balance (K)"),max_length=255, null=True, blank=True) # family_holiday_monthly_repayment = models.CharField(_("Family Holiday Monthly repayment (K)"),max_length=255, null=True, blank=True) # commodity_loan_amount = models.CharField(_("Commodity Loan Amount (K)"),max_length=255, null=True, blank=True) # commodity_balance = models.CharField(_("Commodity Balance (K)"),max_length=255, null=True, blank=True) # commodity_monthly_repayment = models.CharField(_("Commodity Monthly repayment (K)"),max_length=255, null=True, blank=True) # building_loan_amount = models.CharField(_("Building Loan Amount (K)"),max_length=255, null=True, blank=True) # building_balance = models.CharField(_("Building Balance (K)"),max_length=255, null=True, blank=True) # building_monthly_repayment = models.CharField(_("Building Monthly repayment (K)"),max_length=255, null=True, blank=True) # land_purchase_loan_amount = models.CharField(_("Land Purchase Loan Amount (K)"),max_length=255, null=True, blank=True) # land_purchase_balance = models.CharField(_("Land Purchase Balance (K)"),max_length=255, null=True, blank=True) # land_purchase_monthly_repayment = models.CharField(_("Land Purchase Monthly repayment (K)"),max_length=255, null=True, blank=True) # care_coop_land_loan_amount = models.CharField(_("Care Coop Land Loan Amount (K)"),max_length=255, null=True, blank=True) # care_coop_land_balance = models.CharField(_("Care Coop Land Balance (K)"),max_length=255, null=True, blank=True) # care_coop_land_monthly_repayment = models.CharField(_("Care Coop Land Monthly repayment (K)"),max_length=255, null=True, blank=True) # vehicle_loan_amount = models.CharField(_("Vehicle Loan Amount (K)"),max_length=255, null=True, blank=True) # vehicle_balance = models.CharField(_("Vehicle Balance (K)"),max_length=255, null=True, blank=True) # vehicle_monthly_repayment = models.CharField(_("Vehicle Monthly repayment (K)"),max_length=255, null=True, blank=True) # vehicle_insurance_loan_amount = models.CharField(_("Vehicle Insurance Loan Amount (K)"),max_length=255, null=True, blank=True) # vehicle_insurance_balance = models.CharField(_("Vehicle Insurance Balance (K)"),max_length=255, null=True, blank=True) # vehicle_insurance_monthly_repayment = models.CharField(_("Vehicle Insurance Monthly repayment (K)"),max_length=255, null=True, blank=True) # share_financing_loan_amount = models.CharField(_("Share Financing Loan Amount (K)"),max_length=255, null=True, blank=True) # share_financing_balance = models.CharField(_("Share Financing Balance (K)"),max_length=255, null=True, blank=True) # share_financing_monthly_repayment = models.CharField(_("Share Financing Monthly repayment (K)"),max_length=255, null=True, blank=True) # home_improvement_loan_amount = models.CharField(_("Home Improvement Loan Amount (K)"),max_length=255, null=True, blank=True) # home_improvement_balance = models.CharField(_("Home Improvement Balance (K)"),max_length=255, null=True, blank=True) # home_improvement_monthly_repayment = models.CharField(_("Home Improvement Monthly repayment (K)"),max_length=255, null=True, blank=True) # name_loans_officer = models.CharField(_("Name(loans officer)"),max_length=255, null=True, blank=True) # signature = models.BooleanField(_("Signature"),default=False) # text = models.TextField(_("Text"), null=True,blank=True) # date = models.DateTimeField(auto_now_add=False) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'OUT STANDING LOAN' # verbose_name_plural = 'OUT STANDING LOANS' # def __unicode__(self): # return self.premium_loan_amount # class Security(models.Model): # # F.SECURITY # total_shares = models.CharField(_("1. Total Shares (K)"),max_length=255, null=True, blank=True) # terminal_benefits_accured = models.CharField(_("2. Terminal Benefits Accrued (K)"),max_length=255, null=True, blank=True) # total = models.CharField(_("3. Total (K)"),max_length=255, null=True, blank=True) # signaturea = models.BooleanField(_("Signature"),default=False) # signatureb = models.BooleanField(_("Signature"),default=False) # datea = models.DateTimeField(auto_now_add=False) # dateb = models.DateTimeField(auto_now_add=False) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'SECURITY' # verbose_name_plural = 'SECURITIES' # def __unicode__(self): # return self.total_shares # class Declaration(models.Model): # # G. DECLARATION(to be filled by applicant) # applicant_name = models.CharField(_("Applicant name"),max_length=255, null=True, blank=True) # datea = models.DateTimeField(auto_now_add=False) # signature = models.BooleanField(_("Signature"),default=False) # dateb = models.DateTimeField(auto_now_add=False) # bank_name = models.CharField(_("Bank Name"),max_length=255, null=True, blank=True) # account_no = models.CharField(_("Account No"),max_length=255, null=True, blank=True) # branch = models.CharField(_("Branch"),max_length=255, null=True, blank=True) # cheque = models.BooleanField(_("Signature"),default=False) # bank_transfer = models.BooleanField(_("Signature"),default=False) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'DECLARATION' # verbose_name_plural = 'DECLARATIONS' # def __unicode__(self): # return self.applicant_name # class ReviewedByCoOperativeManager(models.Model): # # H.REVIEWED BY COOPERATE GENERAL MANAGER/FINANCE CORDINATOR # name = models.CharField(_("NAME"),max_length=255, null=True, blank=True) # date = models.DateTimeField(auto_now_add=False) # signature = models.BooleanField(_("Signature"),default=False) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'REVIEWED BY CO OPERATIVE MANAGER' # verbose_name_plural = 'REVIEWED BY CO OPERATIVE MANAGERS' # def __unicode__(self): # return self.name # class LoanAnalysisAndApprovalByLoans(models.Model): # # I. LOAN ANALYSIS AND APPROVAL BY LOANS COMMITTEEE # comments = models.TextField(_("Comments"), null=True,blank=True) # chair_person_name = models.CharField(_("Chair Person Name"),max_length=255, null=True, blank=True) # chair_person_signature = models.CharField(_("Chair Person Sign"),max_length=255, null=True, blank=True) # chair_person_date = models.DateTimeField(auto_now_add=False) # Treasurer_name = models.CharField(_("Treasurer Name"),max_length=255, null=True, blank=True) # Treasurer_signature = models.CharField(_("Treasurer Sign"),max_length=255, null=True, blank=True) # Treasurer_date = models.CharField(_("Treasurer Date"),max_length=255, null=True, blank=True) # committee_member_name = models.CharField(_("Committee Member Name"),max_length=255, null=True, blank=True) # committee_member_signature = models.CharField(_("Committee Member Sign"),max_length=255, null=True, blank=True) # committee_member_date = models.CharField(_("Committee Member Date"),max_length=255, null=True, blank=True) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'LOAN ANALYSIS AND APPROVAL BY LOAN' # verbose_name_plural = 'LOAN ANALYSIS AND APPROVAL BY LOANS' # def __unicode__(self): # return self.comments # class NameSignatureDate(models.Model): # # J. BOARD RESOLUTION (Applicable to loans of above K10000) # name = models.CharField(_("Name"),max_length=255, null=True, blank=True) # signature = models.CharField(_("Signature"),max_length=255, null=True, blank=True) # date = models.CharField(_("Date"),max_length=255, null=True, blank=True) # created = models.DateTimeField(auto_now_add=True) # class Meta: # ordering = ['-created'] # verbose_name = 'NAME SIGNATURE DATE' # verbose_name_plural = 'NAME SIGNATURE DATES' # def __unicode__(self): # return self.name # class SuccessStories(models.Model): # # message = models.TextField(null=True, blank=True) # name = models.CharField(_('Name of Member'),max_length=255, null=True, blank=True) # carecoopnumber = models.CharField(_('CareCoop Number'),max_legnth=255, null=True, blank=True) # # #Start contact numbers # home = models.CharField(_('Home'),max_length=255, null=True, blank=True) # cell = models.CharField(_('Cell'),max_length=255, null=True, blank=True) # work = models.CharField(_('Work'),max_length=255, null=True, blank=True) # # #End contact numbers # #Direct debit mandate Start # barclays = models.BooleanField(_('Barclays Bank Zambia Plc')) # firstalliance = models.BooleanField(_('First Alliance Bank Ltd')) # stanbic = models.BooleanField(_('Stanbic Bank (Z) Ltd')) # cavmont = models.BooleanField(_('Cavmont Capital Bank Ltd')) # indo = models.BooleanField(_('Indo Bank Zambia Ltd')) # standard = models.BooleanField(_('Standard Chartered Bank Plc')) # investtrust = models.BooleanField(_('Investrust Mechant Bank Plc')) # zanaco = models.BooleanField(_('Zambia National Commercial Bank Plc')) # finance = models.BooleanField(_('Finance Bank (Z) Ltd')) # citybank = models.BooleanField(_('Citybank (Z) Ltd')) # others = models.BooleanField(_('Others'),max_length=255, null=True, blank=True) # # #Direct debit mandate end # tomanager = models.BooleanField(_('To The Manager:'),max_length=255, null=True, blank=True) # bankaddress = models.BooleanField(_('Address'),max_length=255, null=True, blank=True) # postcode = models.BooleanField(_('Post Code'),max_length=255, null=True, blank=True) # bankshortcode = models.BooleanField(_('Bank Short Code'),max_length=255, null=True, blank=True) # accnumber = models.BooleanField(_('Account Number'),max_length=255, null=True, blank=True) # amount = models.BooleanField(_('Amount K:'),max_length=50, null=True, blank=True) # effect = models.DateTimeField(auto_now_add=False) # payday = models.DateTimeField(auto_now_add=False) # # class meta: # ordering = ['-created'] # verbose_name = ('Approval Form') # verbose_name_plural = ('Approval Forms') # # def __unicode__(self): # return self.carecoopnumber
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4
8bdfc4a377c12d257b322de2f571e622d7fccf45
214
py
Python
handlers/users/__init__.py
KotDath/game_jams_bot
6abb8af3160a1f34d2511ae76ccdb9c77eff23dc
[ "MIT" ]
null
null
null
handlers/users/__init__.py
KotDath/game_jams_bot
6abb8af3160a1f34d2511ae76ccdb9c77eff23dc
[ "MIT" ]
null
null
null
handlers/users/__init__.py
KotDath/game_jams_bot
6abb8af3160a1f34d2511ae76ccdb9c77eff23dc
[ "MIT" ]
null
null
null
from aiogram import Dispatcher from aiogram.dispatcher.filters import CommandStart, CommandHelp from .start import bot_start def setup(dp: Dispatcher): dp.register_message_handler(bot_start, CommandStart())
23.777778
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0.128655
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4
47826436d8ffd606c38fb5fa14f7f2f960821c34
139
py
Python
Resume/education/urls.py
flame4ost/Django-Resume-Creative
6f713f22eb77bf742330c5a0b3b93dcb10bb29d2
[ "MIT" ]
null
null
null
Resume/education/urls.py
flame4ost/Django-Resume-Creative
6f713f22eb77bf742330c5a0b3b93dcb10bb29d2
[ "MIT" ]
4
2020-02-11T21:47:30.000Z
2021-06-10T17:24:50.000Z
Resume/education/urls.py
flame4ost/Django-Resume-Creative
6f713f22eb77bf742330c5a0b3b93dcb10bb29d2
[ "MIT" ]
null
null
null
from django.urls import path from . import views app_name = 'education' urlpatterns = [ path('', views.education, name='education') ]
17.375
47
0.705036
17
139
5.705882
0.588235
0.268041
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0.165468
139
8
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17.375
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4
478b8753a829f7978d764902bb3b27f46dd786a8
132
py
Python
async_service/typing.py
cburgdorf/async-service
04bbca368b0dfdeb87e8f9ff871ffb23a27b01ee
[ "MIT" ]
null
null
null
async_service/typing.py
cburgdorf/async-service
04bbca368b0dfdeb87e8f9ff871ffb23a27b01ee
[ "MIT" ]
null
null
null
async_service/typing.py
cburgdorf/async-service
04bbca368b0dfdeb87e8f9ff871ffb23a27b01ee
[ "MIT" ]
null
null
null
from types import TracebackType from typing import Tuple, Type EXC_INFO = Tuple[Type[BaseException], BaseException, TracebackType]
26.4
67
0.825758
16
132
6.75
0.625
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0.113636
132
4
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4
47c38a33c076bd09d7bbd14cd5779de11805e6c7
3,319
py
Python
Results/reformat_prediction_patch.py
varnerlab/Reduced_EMT_Model
48cda4ef98cfcf539f8b38def68d64722a2db8be
[ "MIT" ]
1
2019-03-08T09:09:22.000Z
2019-03-08T09:09:22.000Z
Results/reformat_prediction_patch.py
varnerlab/Reduced_EMT_Model
48cda4ef98cfcf539f8b38def68d64722a2db8be
[ "MIT" ]
null
null
null
Results/reformat_prediction_patch.py
varnerlab/Reduced_EMT_Model
48cda4ef98cfcf539f8b38def68d64722a2db8be
[ "MIT" ]
null
null
null
# take linear julia list of lists and convert to julia array format execfile('../pyprgs/in_out_line.py') execfile('../pyprgs/in_out_csv.py') dat1 = lin.reader("../poets/results_poets/cross_validation/EC1.dat") dat2 = lin.reader("../poets/results_poets/cross_validation/EC2.dat") dat3 = lin.reader("../poets/results_poets/cross_validation/EC3.dat") dat4 = lin.reader("../poets/results_poets/cross_validation/EC4.dat") dat5 = lin.reader("../poets/results_poets/cross_validation/EC5.dat") dat6 = lin.reader("../poets/results_poets/cross_validation/EC6.dat") dat7 = lin.reader("../poets/results_poets/cross_validation/EC7.dat") dat8 = lin.reader("../poets/results_poets/cross_validation/EC8.dat") dat9 = lin.reader("../poets/results_poets/cross_validation/EC9.dat") dat10 = lin.reader("../poets/results_poets/cross_validation/EC10.dat") dat11 = lin.reader("../poets/results_poets/cross_validation/EC11.dat") # map X1 (size e.g. 772) to x1 within x2 from X2 (size 11) def julia_listlist_to_array(dat): dat_new = [[],[],[],[],[],[],[],[],[],[],[]] # number of objectives (x2space) counter = 0 for LINE in dat: if LINE.count('[') == 1: counter = 0 dat_new[counter].append(LINE.replace('[','').replace(']','')) counter = counter + 1 outlines = [] for LIST in dat_new: outlines.append('\t'.join(LIST)) return outlines outlines = julia_listlist_to_array(dat1) lin.writer("../poets/results_poets/cross_validation/EC1_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat2) lin.writer("../poets/results_poets/cross_validation/EC2_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat3) lin.writer("../poets/results_poets/cross_validation/EC3_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat4) lin.writer("../poets/results_poets/cross_validation/EC4_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat5) lin.writer("../poets/results_poets/cross_validation/EC5_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat6) lin.writer("../poets/results_poets/cross_validation/EC6_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat7) lin.writer("../poets/results_poets/cross_validation/EC7_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat8) lin.writer("../poets/results_poets/cross_validation/EC8_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat9) lin.writer("../poets/results_poets/cross_validation/EC9_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat10) lin.writer("../poets/results_poets/cross_validation/EC10_jl_array.dat",outlines) outlines = julia_listlist_to_array(dat11) lin.writer("../poets/results_poets/cross_validation/EC11_jl_array.dat",outlines) # need to reformat random as well datr = lin.reader("../poets/results_poets/random_set/EC.dat") outlines = julia_listlist_to_array(datr) lin.writer("../poets/results_poets/random_set/EC_jl_array.dat",outlines) datrf = lin.reader("../poets/results_poets/random_set/EC_full.dat") outlines = julia_listlist_to_array(datrf) lin.writer("../poets/results_poets/random_set/EC_full_jl_array.dat",outlines) #for line in dat: # dat_new.append([float(string.replace('[' ,'').replace(']','')) for string in line]) #datx = lin.reader("../poets/results_poets/cross_validation/fold_pop_obj_1/EC.dat")
43.671053
89
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3,319
4.888889
0.191358
0.136364
0.193182
0.212963
0.726852
0.726852
0.656145
0.255892
0.193603
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0.08135
3,319
75
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0.757297
0.111781
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4
47db51e9523923bd84aa6b38ae26db66c39ba234
1,811
py
Python
templatealchemy_driver/file.py
cadithealth/templatealchemy
a098aff22a6bcdd693e5ebea51155b96356d3178
[ "MIT" ]
1
2019-10-06T23:49:58.000Z
2019-10-06T23:49:58.000Z
templatealchemy_driver/file.py
cadithealth/templatealchemy
a098aff22a6bcdd693e5ebea51155b96356d3178
[ "MIT" ]
null
null
null
templatealchemy_driver/file.py
cadithealth/templatealchemy
a098aff22a6bcdd693e5ebea51155b96356d3178
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- #------------------------------------------------------------------------------ # file: $Id$ # lib: templatealchemy_driver.file # auth: Philip J Grabner <grabner@cadit.com> # date: 2013/07/03 # copy: (C) Copyright 2013 Cadit Health Inc., All Rights Reserved. #------------------------------------------------------------------------------ import os from templatealchemy import api, util #------------------------------------------------------------------------------ def loadSource(spec=None): return FileSource(spec) #------------------------------------------------------------------------------ class FileSource(api.Source): #---------------------------------------------------------------------------- def getSource(self, name): if name is None: return self return FileSource(self.spec + '/' + name) #---------------------------------------------------------------------------- def getFormats(self): path, base = os.path.split(self.spec) base += '.' return [ cur[len(base):] for cur in os.listdir(path) if cur.startswith(base) and os.path.isfile(os.path.join(path, cur))] #---------------------------------------------------------------------------- def get(self, format): # todo: what about file descriptor clean-up?... if format: format = '.' + format return open(self.spec + format, 'rb') #---------------------------------------------------------------------------- def getRelated(self, name): if name.startswith('/'): return open(name, 'rb') return open(os.path.dirname(self.spec) + '/' + name, 'rb') #------------------------------------------------------------------------------ # end of $Id$ #------------------------------------------------------------------------------
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1,811
4.553191
0.503546
0.049844
0.031153
0.043614
0
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0.008244
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4
9a171b27694b6a0eb32eb5bf4a181de5af95cc26
215
py
Python
xicidailiSpider/run_spider.py
xzlmark/webspider
133c620c65aa45abea1718b0dada09618c2115bf
[ "Apache-2.0" ]
3
2020-04-09T02:35:26.000Z
2021-02-27T17:00:21.000Z
xicidailiSpider/run_spider.py
colorworlds/webspider
133c620c65aa45abea1718b0dada09618c2115bf
[ "Apache-2.0" ]
null
null
null
xicidailiSpider/run_spider.py
colorworlds/webspider
133c620c65aa45abea1718b0dada09618c2115bf
[ "Apache-2.0" ]
1
2020-04-09T02:35:08.000Z
2020-04-09T02:35:08.000Z
# 运行爬虫文件,在pychram里面运行,要注意这个文件的位置,是位于scrapy,cfg一个目录下 # 第一中方式,必须加split() from scrapy import cmdline # cmdline.execute('scrapy crawl xicidaili'.split()) # 第二种是用os模块来实行 import os os.system('scrapy crawl xicidaili ')
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9a399f1a01562ea08168931d524893ca67c3d4c3
128
py
Python
compilador/tests/router_solver.py
Nombre-Pendiente/Super-Compi
3f2a8e0219b04863fbf78d03aba782d235ccb11a
[ "MIT" ]
6
2021-05-20T16:01:45.000Z
2021-05-27T18:48:57.000Z
compilador/tests/router_solver.py
Nombre-Pendiente/Super-Compi
3f2a8e0219b04863fbf78d03aba782d235ccb11a
[ "MIT" ]
1
2021-05-18T14:44:04.000Z
2021-05-18T14:44:04.000Z
compilador/tests/router_solver.py
Nombre-Pendiente/Super-Compi
3f2a8e0219b04863fbf78d03aba782d235ccb11a
[ "MIT" ]
null
null
null
import sys import os route = os.getcwd().replace("/compilador/tests", "").replace("/compilador", "") sys.path.insert(1, route)
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7be02423e251c988c361568ecac87d496a247b35
202
py
Python
test/lib/systestlib.py
arista-eosplus/eapictl
38917722dd61224f044f30daf21f8120cdf034fa
[ "BSD-3-Clause" ]
2
2017-08-24T04:41:07.000Z
2020-02-27T00:14:11.000Z
test/lib/systestlib.py
arista-eosplus/eapictl
38917722dd61224f044f30daf21f8120cdf034fa
[ "BSD-3-Clause" ]
1
2015-04-14T18:06:19.000Z
2017-04-26T13:45:31.000Z
test/lib/systestlib.py
arista-eosplus/eapictl
38917722dd61224f044f30daf21f8120cdf034fa
[ "BSD-3-Clause" ]
null
null
null
import os HERE = os.path.abspath(os.path.dirname(__file__)) def fixtures_path(): return os.path.join(HERE, '../fixtures') def get_fixture(name): return os.path.join(fixtures_path(), name)
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d0172e75df20ac530a640cf59eb77f0f195f46b9
156
py
Python
django_timecode/test/models.py
jaumeba/django-timecode
8f4afcde8e0f86a2a385cbbc4704a90652077202
[ "BSD-3-Clause" ]
3
2015-02-05T09:56:48.000Z
2020-01-07T17:05:59.000Z
django_timecode/test/models.py
jaumeba/django-timecode
8f4afcde8e0f86a2a385cbbc4704a90652077202
[ "BSD-3-Clause" ]
1
2015-01-20T17:19:58.000Z
2015-02-05T10:33:51.000Z
django_timecode/test/models.py
jaumeba/django-timecode
8f4afcde8e0f86a2a385cbbc4704a90652077202
[ "BSD-3-Clause" ]
5
2015-01-01T00:07:06.000Z
2022-01-22T01:37:25.000Z
from timecode.fields import TimecodeField from django.db import models class TestModel(models.Model): timecode = TimecodeField(blank=True, null=True)
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d0264b9704ddf1719f307d41ccfa8d9de99666f4
446
py
Python
opponent_app/views/__init__.py
Alpaca00/alpaca_web
1db33978f774addbe456f750ffadf32d2f223610
[ "MIT" ]
4
2021-09-14T07:36:27.000Z
2021-09-18T15:10:24.000Z
opponent_app/views/__init__.py
Alpaca00/alpaca_web
1db33978f774addbe456f750ffadf32d2f223610
[ "MIT" ]
1
2021-12-14T20:32:29.000Z
2021-12-15T13:28:29.000Z
opponent_app/views/__init__.py
Alpaca00/squash-opponent
1db33978f774addbe456f750ffadf32d2f223610
[ "MIT" ]
null
null
null
from .product import product_app from .gallery import gallery_app from .video_gallery import video_app from .cart import cart_app from .order import order_app from .login import login_app from .register import register_app from .support import support_app from .user_account import user_account_app from .home import home_app, admin from .about import about_app from .finder import finder_app from .password_recovery import recovery_password_app
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d0288f25da385c8b59b083433144a72b1161c85f
114
py
Python
mailbot/exceptions.py
alseageo/mailbot
642200dce8b34cfcce6276d76952b9454155f8b3
[ "BSD-3-Clause" ]
13
2015-07-15T19:28:09.000Z
2021-11-04T23:50:13.000Z
mailbot/exceptions.py
alseageo/mailbot
642200dce8b34cfcce6276d76952b9454155f8b3
[ "BSD-3-Clause" ]
7
2015-04-26T07:11:29.000Z
2019-11-19T12:54:12.000Z
mailbot/exceptions.py
alseageo/mailbot
642200dce8b34cfcce6276d76952b9454155f8b3
[ "BSD-3-Clause" ]
12
2015-04-25T17:48:57.000Z
2021-07-11T14:28:34.000Z
# -*- coding: utf-8 -*- class RegisterException(Exception): """Exception raised on a registration error."""
19
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114
5
52
22.8
0.789474
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4
d03eec5a7b0c3cdcae3328e20449cb6c4ef66b7a
361
py
Python
wealthbot/ria/views/changeProfile.py
jliev/wealthbot_chatterbot
f6681da8e5f833990ccd321e166994f31253353f
[ "MIT" ]
1
2019-04-22T07:20:31.000Z
2019-04-22T07:20:31.000Z
wealthbot/ria/views/changeProfile.py
jliev/wealthbot_chatterbot
f6681da8e5f833990ccd321e166994f31253353f
[ "MIT" ]
null
null
null
wealthbot/ria/views/changeProfile.py
jliev/wealthbot_chatterbot
f6681da8e5f833990ccd321e166994f31253353f
[ "MIT" ]
null
null
null
from django.http import HttpResponse from django.contrib.auth.decorators import login_required @login_required def changeProfileIndex(request, tab='company_profile'): return HttpResponse('Not implemented yet, please come back later!') @login_required def profile(request, tab='profile'): return HttpResponse('Not implemented yet, please come back later!')
32.818182
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0.808864
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4
d04dd3b917cf51581535a74e0f55a25209ad9eed
132
gyp
Python
binding.gyp
pash2048/hetrodo-node-cursor-napi
96566cb1696e7094285424ab21d30270032f2267
[ "MIT" ]
1
2022-01-27T11:23:54.000Z
2022-01-27T11:23:54.000Z
binding.gyp
pash2048/hetrodo-node-cursor-napi
96566cb1696e7094285424ab21d30270032f2267
[ "MIT" ]
null
null
null
binding.gyp
pash2048/hetrodo-node-cursor-napi
96566cb1696e7094285424ab21d30270032f2267
[ "MIT" ]
1
2022-01-27T12:58:40.000Z
2022-01-27T12:58:40.000Z
{ "targets": [ { "target_name": "node-cursor", "sources": [ "node-cursor.cc" ] } ] }
16.5
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5.111111
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8
44
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4
d050178ec9d61ca2ba12f401515b69366b9f5379
2,080
py
Python
software/cl_reachy/cl_reachy/model/body_state.py
wisehackermonkey/CoLab-Reachy
538f3e6d6f43f87cdf2c91e97229b20a7fb490a9
[ "CC0-1.0" ]
3
2021-03-28T19:43:57.000Z
2021-12-19T04:42:02.000Z
software/cl_reachy/cl_reachy/model/body_state.py
wisehackermonkey/CoLab-Reachy
538f3e6d6f43f87cdf2c91e97229b20a7fb490a9
[ "CC0-1.0" ]
7
2020-09-23T00:33:53.000Z
2021-08-11T03:15:43.000Z
software/cl_reachy/cl_reachy/model/body_state.py
wisehackermonkey/CoLab-Reachy
538f3e6d6f43f87cdf2c91e97229b20a7fb490a9
[ "CC0-1.0" ]
1
2021-01-21T02:32:15.000Z
2021-01-21T02:32:15.000Z
import json from collections import namedtuple from json import JSONEncoder from .common import DataModelBase class DynamixelState(DataModelBase): def __init__(self, name, present_position, compliant): # TODO - some properties should stay local to the view but other # properties should be in the model with the controller self.name = name self.present_position = present_position self.compliant = compliant @staticmethod def decoder(msgDict): return namedtuple(LogMessage.__name__, msgDict.keys())(*msgDict.values()) @staticmethod def from_json(msgJson): return json.loads(msgJson, object_hook=HeadState.decoder) class HeadState(DataModelBase): def __init__(self, left_antenna_state, right_antenna_state): self.left_antenna_state = left_antenna_state self.right_antenna_state = right_antenna_state @staticmethod def decoder(msgDict): return namedtuple(HeadState.__name__, msgDict.keys())(*msgDict.values()) @staticmethod def from_json(msgJson): return json.loads(msgJson, object_hook=HeadState.decoder) class OrbitaState(DataModelBase): def __init__(self): # TODO pass @staticmethod def decoder(msgDict): return namedtuple(OrbitaState.__name__, msgDict.keys())(*msgDict.values()) @staticmethod def from_json(msgJson): return json.loads(msgJson, object_hook=OrbitaState.decoder) class RightArmState(DataModelBase): def __init__(self, shoulder_pitch_state, shoulder_roll_state, arm_yaw_state, elbow_pitch_state): # TODO self.shoulder_pitch_state = shoulder_pitch_state self.shoulder_roll_state = shoulder_roll_state self.arm_yaw_state = arm_yaw_state self.elbow_pitch_state = elbow_pitch_state @staticmethod def decoder(msgDict): return namedtuple(RightArmState.__name__, msgDict.keys())(*msgDict.values()) @staticmethod def from_json(msgJson): return json.loads(msgJson, object_hook=RightArmState.decoder)
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d051b20b4d9c639a564d6399a6bb116b76d2b690
78
py
Python
pyrolite/extensions/__init__.py
JustinGOSSES/pyrolite
21eb5b28d9295625241b73b820fc8892b00fc6b0
[ "BSD-3-Clause" ]
1
2020-03-13T07:11:47.000Z
2020-03-13T07:11:47.000Z
pyrolite/extensions/__init__.py
JustinGOSSES/pyrolite
21eb5b28d9295625241b73b820fc8892b00fc6b0
[ "BSD-3-Clause" ]
null
null
null
pyrolite/extensions/__init__.py
JustinGOSSES/pyrolite
21eb5b28d9295625241b73b820fc8892b00fc6b0
[ "BSD-3-Clause" ]
null
null
null
""" A stub module to house pyrolite extensions, where they are installed. """
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d0746ce95bc2021f11879c7cd47d76342d9046b2
188
py
Python
devstat/__main__.py
prashantdivate/devstat
22238b0dd322e8b3c17b58f15d1ac2325c0f4d28
[ "MIT" ]
null
null
null
devstat/__main__.py
prashantdivate/devstat
22238b0dd322e8b3c17b58f15d1ac2325c0f4d28
[ "MIT" ]
null
null
null
devstat/__main__.py
prashantdivate/devstat
22238b0dd322e8b3c17b58f15d1ac2325c0f4d28
[ "MIT" ]
null
null
null
# # Python tool to fetch Linux system information # Author - diwateprashant44@gmail.com # Tested with Python3 on Ubuntu 16.04 # import subprocess subprocess.call(['sh','./devstat.sh'])
20.888889
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d077e19e923096067361c2e528bae24db52bf56d
196
py
Python
holobot/discord/sdk/components/__init__.py
rexor12/holobot
89b7b416403d13ccfeee117ef942426b08d3651d
[ "MIT" ]
1
2021-05-24T00:17:46.000Z
2021-05-24T00:17:46.000Z
holobot/discord/sdk/components/__init__.py
rexor12/holobot
89b7b416403d13ccfeee117ef942426b08d3651d
[ "MIT" ]
41
2021-03-24T22:50:09.000Z
2021-12-17T12:15:13.000Z
holobot/discord/sdk/components/__init__.py
rexor12/holobot
89b7b416403d13ccfeee117ef942426b08d3651d
[ "MIT" ]
null
null
null
from .button import Button from .combo_box import ComboBox from .combo_box_item import ComboBoxItem from .component import Component from .pager import Pager from .stack_layout import StackLayout
28
40
0.846939
28
196
5.785714
0.464286
0.111111
0.148148
0
0
0
0
0
0
0
0
0
0.122449
196
6
41
32.666667
0.94186
0
0
0
0
0
0
0
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0
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1
0
true
0
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1
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1
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0
null
0
0
0
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0
0
0
0
0
0
0
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null
0
0
0
0
0
0
1
0
1
0
0
0
0
4
d0784a1d9bc89cedae056927e21cdd8d202e5459
258
py
Python
data_structures/stacks_and_queues/stack/node.py
michaelsklepowich/data_structures_and_algorithms
0e44be7789db8e361a01f300fc399c8b29cd9970
[ "MIT" ]
null
null
null
data_structures/stacks_and_queues/stack/node.py
michaelsklepowich/data_structures_and_algorithms
0e44be7789db8e361a01f300fc399c8b29cd9970
[ "MIT" ]
null
null
null
data_structures/stacks_and_queues/stack/node.py
michaelsklepowich/data_structures_and_algorithms
0e44be7789db8e361a01f300fc399c8b29cd9970
[ "MIT" ]
null
null
null
class Node: def __init__(self, value, _next=None): self._value = value self._next = _next def __str__(self): return f'{self._value}' def __repr__(self): return f'<Node | Val: {self._value} | Next: {self._next}>'
23.454545
66
0.581395
33
258
3.969697
0.393939
0.274809
0.198473
0
0
0
0
0
0
0
0
0
0.27907
258
10
67
25.8
0.704301
0
0
0
0
0
0.236434
0
0
0
0
0
0
1
0.375
false
0
0
0.25
0.75
0
0
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
0
0
0
4
d093462a5dd90024700b280c1c05a2b840baf803
16
py
Python
gloomsim/__init__.py
AlanTolan/gloomsim
5414c7a8aaba0dc3b1c99d1b21e4a6232b1fc365
[ "MIT" ]
null
null
null
gloomsim/__init__.py
AlanTolan/gloomsim
5414c7a8aaba0dc3b1c99d1b21e4a6232b1fc365
[ "MIT" ]
null
null
null
gloomsim/__init__.py
AlanTolan/gloomsim
5414c7a8aaba0dc3b1c99d1b21e4a6232b1fc365
[ "MIT" ]
null
null
null
# empty so far
5.333333
14
0.625
3
16
3.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.3125
16
2
15
8
0.909091
0.75
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
4
d0a82a14f7beb42bb587ee1e4ffcccc8a0deb4b8
390
py
Python
examples/utils/app.py
pichatelli/simple-settings
b0cb539a13581107effc674c823703e990e3463c
[ "MIT" ]
213
2015-05-13T21:29:35.000Z
2022-02-24T12:56:00.000Z
examples/utils/app.py
pichatelli/simple-settings
b0cb539a13581107effc674c823703e990e3463c
[ "MIT" ]
248
2015-05-13T23:32:16.000Z
2022-02-02T21:41:30.000Z
examples/utils/app.py
pichatelli/simple-settings
b0cb539a13581107effc674c823703e990e3463c
[ "MIT" ]
39
2015-05-18T21:29:42.000Z
2022-03-26T16:27:46.000Z
from simple_settings import settings from simple_settings.utils import settings_stub # Stub examples with settings_stub(SOME_SETTING='foo'): assert settings.SOME_SETTING == 'foo' assert settings.SOME_SETTING == 'bar' @settings_stub(SOME_SETTING='foo') def get_some_setting(): return settings.SOME_SETTING assert get_some_setting() == 'foo' assert settings.SOME_SETTING == 'bar'
24.375
47
0.782051
53
390
5.471698
0.301887
0.303448
0.193103
0.206897
0.517241
0.386207
0.386207
0.289655
0
0
0
0
0.117949
390
15
48
26
0.843023
0.033333
0
0.2
0
0
0.048
0
0
0
0
0
0.4
1
0.1
true
0
0.2
0.1
0.4
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
4
d0ab3e8ed68efcd720ef84554774ee101be57e3b
68
py
Python
tonguetwister/xformat/info.py
lham/tonguetwister
ae8cd1555782f2e551a5d4156d8d247e08e354e1
[ "MIT" ]
4
2021-03-06T19:26:27.000Z
2022-02-07T16:00:01.000Z
tonguetwister/xformat/info.py
lham/tonguetwister
ae8cd1555782f2e551a5d4156d8d247e08e354e1
[ "MIT" ]
null
null
null
tonguetwister/xformat/info.py
lham/tonguetwister
ae8cd1555782f2e551a5d4156d8d247e08e354e1
[ "MIT" ]
null
null
null
from dataclasses import dataclass @dataclass class Info: pass
9.714286
33
0.764706
8
68
6.5
0.875
0
0
0
0
0
0
0
0
0
0
0
0.205882
68
6
34
11.333333
0.962963
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.25
0.25
0
0.5
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
0
0
0
0
0
4
d0d88acae48bf1ff854a50d2dcd9dec3b1137290
87
py
Python
Ethica/ethicaEnv/ethicaProject/Ethica/apps.py
oconnalla/ethicaApp
88fef16b70a0d8e2c5f43af6afd3e6bef43ff683
[ "MIT" ]
null
null
null
Ethica/ethicaEnv/ethicaProject/Ethica/apps.py
oconnalla/ethicaApp
88fef16b70a0d8e2c5f43af6afd3e6bef43ff683
[ "MIT" ]
null
null
null
Ethica/ethicaEnv/ethicaProject/Ethica/apps.py
oconnalla/ethicaApp
88fef16b70a0d8e2c5f43af6afd3e6bef43ff683
[ "MIT" ]
null
null
null
from django.apps import AppConfig class EthicaConfig(AppConfig): name = 'Ethica'
14.5
33
0.747126
10
87
6.5
0.9
0
0
0
0
0
0
0
0
0
0
0
0.172414
87
5
34
17.4
0.902778
0
0
0
0
0
0.068966
0
0
0
0
0
0
1
0
false
0
0.333333
0
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
4
d0fd6a9a61fe55ec05bbd4f274abbec45815b826
1,804
py
Python
migrations/versions/5cb851130ebb_.py
isabella232/comport
117123862415261095a917ed7f2037c1f986b474
[ "BSD-3-Clause" ]
35
2015-11-14T18:32:45.000Z
2022-01-23T15:15:05.000Z
migrations/versions/5cb851130ebb_.py
codeforamerica/comport
117123862415261095a917ed7f2037c1f986b474
[ "BSD-3-Clause" ]
119
2015-11-20T22:45:34.000Z
2022-02-10T23:02:36.000Z
migrations/versions/5cb851130ebb_.py
isabella232/comport
117123862415261095a917ed7f2037c1f986b474
[ "BSD-3-Clause" ]
19
2015-11-20T20:41:52.000Z
2022-01-26T04:12:34.000Z
"""add officer age & years of service to SRPD incidents Revision ID: 5cb851130ebb Revises: c5e276c0d67f Create Date: 2017-02-02 16:31:22.915785 """ # revision identifiers, used by Alembic. revision = '5cb851130ebb' down_revision = 'c5e276c0d67f' from alembic import op import sqlalchemy as sa def upgrade(): op.add_column('citizen_complaints_srpd', sa.Column('officer_age', sa.String(length=255), nullable=True)) op.add_column('citizen_complaints_srpd', sa.Column('officer_years_of_service', sa.String(length=255), nullable=True)) op.add_column('officer_involved_shootings_srpd', sa.Column('officer_age', sa.String(length=255), nullable=True)) op.add_column('officer_involved_shootings_srpd', sa.Column('officer_years_of_service', sa.String(length=255), nullable=True)) op.add_column('pursuits_srpd', sa.Column('officer_age', sa.String(length=255), nullable=True)) op.add_column('pursuits_srpd', sa.Column('officer_years_of_service', sa.String(length=255), nullable=True)) op.add_column('use_of_force_incidents_srpd', sa.Column('officer_age', sa.String(length=255), nullable=True)) op.add_column('use_of_force_incidents_srpd', sa.Column('officer_years_of_service', sa.String(length=255), nullable=True)) def downgrade(): op.drop_column('use_of_force_incidents_srpd', 'officer_years_of_service') op.drop_column('use_of_force_incidents_srpd', 'officer_age') op.drop_column('pursuits_srpd', 'officer_years_of_service') op.drop_column('pursuits_srpd', 'officer_age') op.drop_column('officer_involved_shootings_srpd', 'officer_years_of_service') op.drop_column('officer_involved_shootings_srpd', 'officer_age') op.drop_column('citizen_complaints_srpd', 'officer_years_of_service') op.drop_column('citizen_complaints_srpd', 'officer_age')
50.111111
129
0.777716
261
1,804
5.034483
0.191571
0.118721
0.09589
0.115677
0.807458
0.807458
0.770928
0.727549
0.578387
0.480213
0
0.043876
0.090355
1,804
35
130
51.542857
0.756856
0.100333
0
0
0
0
0.421053
0.319505
0
0
0
0
0
1
0.090909
false
0
0.090909
0
0.181818
0
0
0
0
null
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
4
ef7cdd1cc15633a00b0952c05fd01587b507d10f
140
py
Python
BarcodeRead/BarcodeRead/urls.py
fd239/DynamSoftBarcodeReaderPython
99f23add83067972f4d603ea2d064f725c66ceae
[ "MIT" ]
null
null
null
BarcodeRead/BarcodeRead/urls.py
fd239/DynamSoftBarcodeReaderPython
99f23add83067972f4d603ea2d064f725c66ceae
[ "MIT" ]
5
2021-03-19T11:59:23.000Z
2022-02-10T10:37:30.000Z
BarcodeRead/BarcodeRead/urls.py
fd239/DynamSoft_Barcode_Reader
99f23add83067972f4d603ea2d064f725c66ceae
[ "MIT" ]
null
null
null
from django.urls import path from . import views urlpatterns = [ path('api/v1/get_barcode/', views.get_barcode, name='get_barcode') ]
17.5
70
0.721429
20
140
4.9
0.6
0.306122
0
0
0
0
0
0
0
0
0
0.008403
0.15
140
7
71
20
0.815126
0
0
0
0
0
0.215827
0
0
0
0
0
0
1
0
false
0
0.4
0
0.4
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
4
ef853111855e3500f6f62c806ed320fcfa149533
370
py
Python
demo/transcrypt/simple-packages/src/spam.py
ericsnowcurrently/pyweb
08b3ef62409922f03c82080070873d4d49802c4d
[ "BSD-3-Clause" ]
3
2018-10-28T06:11:54.000Z
2020-04-07T19:40:58.000Z
demo/transcrypt/simple-packages/src/spam.py
ericsnowcurrently/pyweb
08b3ef62409922f03c82080070873d4d49802c4d
[ "BSD-3-Clause" ]
1
2018-08-28T15:01:29.000Z
2018-08-28T17:19:11.000Z
demo/transcrypt/simple-packages/src/spam.py
ericsnowcurrently/pyweb
08b3ef62409922f03c82080070873d4d49802c4d
[ "BSD-3-Clause" ]
null
null
null
# spam.py import org import org.python import org.python.pypi import org.python.pypi.myproject import org.python.pypi.myproject.spam def fail(): raise Exception('oops!') print(__name__) print() now, menu = org.python.pypi.myproject.spam.get_menu() print(f'menu at {now}s:') for index, item in enumerate(menu, 1): print(f' {index}: {item}') print() fail()
15.416667
53
0.705405
58
370
4.413793
0.448276
0.175781
0.234375
0.222656
0.335938
0
0
0
0
0
0
0.003135
0.137838
370
23
54
16.086957
0.799373
0.018919
0
0.133333
0
0
0.099723
0
0
0
0
0
0
1
0.066667
true
0
0.333333
0
0.4
0.333333
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
4
ef8f890ecaa6580bfa9a5121d7900b54ad858e04
1,191
py
Python
site/public/courses/CS-1.2/src/PlaylistLinkedList-StarterCode/Playlist.py
KitsuneNoctus/makeschool
5eec1a18146abf70bb78b4ee3d301f6a43c9ede4
[ "MIT" ]
1
2021-08-24T20:22:19.000Z
2021-08-24T20:22:19.000Z
site/public/courses/CS-1.2/src/PlaylistLinkedList-StarterCode/Playlist.py
KitsuneNoctus/makeschool
5eec1a18146abf70bb78b4ee3d301f6a43c9ede4
[ "MIT" ]
null
null
null
site/public/courses/CS-1.2/src/PlaylistLinkedList-StarterCode/Playlist.py
KitsuneNoctus/makeschool
5eec1a18146abf70bb78b4ee3d301f6a43c9ede4
[ "MIT" ]
null
null
null
from Song import Song class Playlist: def __init__(self): self.__first_song = None # TODO: Create a method called add_song that creates a Song object and adds it to the playlist. This method has one parameter called title. def add_song(self, title): pass # TODO: Create a method called find_song that searches for whether a song exits in the playlist and returns its index. # The method has one parameters, title, which is the title of the song to be searched for. If the song is found, return its index. Otherwise, return -1. def find_song(self, title): pass # TODO: Create a method called remove_song that removes a song from the playlist. This method takes one parameter, title, which is the song that should be removed. def remove_song(self, title): pass # TODO: Create a method called length, which returns the number of songs in the playlist. def length(self): pass # TODO: Create a method called print_songs that prints a numbered list of the songs in the playlist. # Example: # 1. Song Title 1 # 2. Song Title 2 # 3. Song Title 3 def print_songs(self): pass
25.891304
167
0.690176
188
1,191
4.292553
0.345745
0.061958
0.068154
0.105328
0.210657
0.182156
0.148699
0.148699
0.148699
0
0
0.007928
0.258606
1,191
45
168
26.466667
0.906002
0.68178
0
0.357143
0
0
0
0
0
0
0
0.022222
0
1
0.428571
false
0.357143
0.071429
0
0.571429
0.071429
0
0
0
null
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
1
0
1
0
0
1
0
0
4
efcb89d48267d895c368785754802065fc2bb923
656
py
Python
nlpblock/layer/__init__.py
graykode/nlpblock
d7cd9e6d7a0ee401b8fecdbbf3a0ac60bdb3c0d7
[ "MIT" ]
3
2019-02-27T13:41:26.000Z
2021-05-13T07:02:39.000Z
nlpblock/layer/__init__.py
graykode/nlpblock
d7cd9e6d7a0ee401b8fecdbbf3a0ac60bdb3c0d7
[ "MIT" ]
null
null
null
nlpblock/layer/__init__.py
graykode/nlpblock
d7cd9e6d7a0ee401b8fecdbbf3a0ac60bdb3c0d7
[ "MIT" ]
3
2019-03-02T02:19:46.000Z
2021-10-03T18:46:52.000Z
from nlpblock.layer import RNN from nlpblock.layer.GRU import GRU from nlpblock.layer.LSTM import LSTM from nlpblock.layer.Attention import Attention from nlpblock.layer.AttentionOne import AttentionOne from nlpblock.layer.AttentionTwo import AttentionTwo from nlpblock.layer.AttentionTwo import AttentionTwo from nlpblock.layer.SelfAttnEncoder import SelfAttnEncoder from nlpblock.layer.SelfAttnEncoderLayer import SelfAttnEncoderLayer from nlpblock.layer.PosEncoding import PosEncoding __all__ = [ 'RNN', 'LSTM', 'GRU', 'Attention', 'AttentionOne', 'AttentionTwo', 'SelfAttnEncoder', 'SelfAttnEncoderLayer', 'PosEncoding', ]
31.238095
68
0.800305
69
656
7.550725
0.202899
0.230326
0.326296
0.111324
0.213052
0.213052
0.213052
0.213052
0.213052
0
0
0
0.125
656
21
69
31.238095
0.907666
0
0
0.105263
0
0
0.135464
0
0
0
0
0
0
1
0
false
0
0.526316
0
0.526316
0
0
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
4
560060903494a8a67cd0b561ec6aca32d85e3cb4
39
py
Python
neural-navigation-with-lstm/MARCO/nltk_contrib/mit/rspeer/parser/__init__.py
ronaldahmed/SLAM-for-ugv
52e3241b8b737a0cfe5682c0aa87ec8c27d6a33d
[ "MIT" ]
14
2016-04-03T19:25:13.000Z
2022-01-05T07:03:07.000Z
neural-navigation-with-lstm/MARCO/nltk_contrib/mit/rspeer/parser/__init__.py
ronaldahmed/SLAM-for-ugv
52e3241b8b737a0cfe5682c0aa87ec8c27d6a33d
[ "MIT" ]
null
null
null
neural-navigation-with-lstm/MARCO/nltk_contrib/mit/rspeer/parser/__init__.py
ronaldahmed/SLAM-for-ugv
52e3241b8b737a0cfe5682c0aa87ec8c27d6a33d
[ "MIT" ]
5
2018-06-21T12:58:58.000Z
2020-02-15T05:33:39.000Z
""" A feature-based chart parser. """
7.8
29
0.615385
5
39
4.8
1
0
0
0
0
0
0
0
0
0
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4bca2512823f794cae2079f246c89954c1a88b92
26,442
py
Python
crossdomain/model/models.py
INK-USC/ConNet
adb299f160556004561df302c19578200bd3835b
[ "MIT" ]
11
2019-11-13T13:33:30.000Z
2022-03-27T13:16:19.000Z
crossdomain/model/models.py
INK-USC/ConNet
adb299f160556004561df302c19578200bd3835b
[ "MIT" ]
null
null
null
crossdomain/model/models.py
INK-USC/ConNet
adb299f160556004561df302c19578200bd3835b
[ "MIT" ]
2
2020-05-27T15:17:58.000Z
2020-07-09T08:57:21.000Z
import torch import torch.nn as nn from torch.nn import Parameter import numpy as np import model.crf as crf # Single-task model with MLP class STM_MLP(nn.Module): def __init__(self, args): super(STM_MLP, self).__init__() self.mlp = nn.Linear(5000, args['mlp_hid']) self.cla = nn.Linear(args['mlp_hid'], 1) self.dropout = nn.Dropout(p=args['dropout']) self.sigmoid = nn.Sigmoid() def forward(self, data_input): mlp_out = self.dropout(self.mlp(data_input)) cla = self.sigmoid(self.cla(mlp_out)).squeeze(1) return cla # CN_MLP model class CN_MLP(nn.Module): def __init__(self, args): super(CN_MLP, self).__init__() self.args = args self.mlp = nn.Linear(5000, args['mlp_hid']) self.CM = nn.Parameter(torch.Tensor(args['num_tasks'], args['mlp_hid'], args['mlp_hid'])) nn.init.xavier_normal_(self.CM) self.attn = nn.Parameter(torch.Tensor(args['mlp_hid'], args['num_tasks'])) nn.init.xavier_normal_(self.attn) self.cla = nn.Linear(args['mlp_hid'], 1) self.dropout = nn.Dropout(p=args['dropout']) self.sigmoid = nn.Sigmoid() self.softmax = nn.Softmax(dim=1) # switch to extraction training def extraction_phase(self): self.attn.requires_grad = False self.mlp.weight.requires_grad = True self.CM.requires_grad = True self.cla.weight.requires_grad = True # switch to aggregation training def aggregation_phase(self): self.attn.requires_grad = True if not self.args['fine_tune']: self.mlp.weight.requires_grad = False self.CM.requires_grad = False self.cla.weight.requires_grad = False def forward(self, data_input, task_ids): # process the input and return lstm output # data_input: batch_size * 5000 mlp_out = self.dropout(self.mlp(data_input)) # aggregation phase if task_ids == None: task_attn = mlp_out.mm(self.attn) batch_size = mlp_out.shape[0] consensus = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM, 0).repeat(batch_size,1,1,1)).sum(1) # extraction phase else: consensus = self.CM[task_ids] mlp_out_1 = self.dropout(mlp_out.unsqueeze(1).bmm(consensus)).squeeze(1) cla = self.sigmoid(self.cla(mlp_out_1)).squeeze(1) return cla # base class for all models: take input data, return lstm output class Base_Model(nn.Module): def __init__(self, args, emb): super(Base_Model, self).__init__() self.args = args # embeddings, lstms if self.args['char_rnn']: self.char_emb = nn.Embedding.from_pretrained(Parameter(torch.FloatTensor(emb[0])), freeze=False if args['fine_tune_char_emb'] else True) self.char_lstm = nn.LSTM(self.char_emb.weight.shape[1], args['char_rnn_hid'], args['char_rnn_layers'], bidirectional=True, batch_first=True) if self.args['word_rnn']: self.word_emb = nn.Embedding.from_pretrained(Parameter(torch.FloatTensor(emb[1])), freeze=False if args['fine_tune_word_emb'] else True) word_rnn_input_dim = self.word_emb.weight.shape[1] if self.args['char_rnn']: word_rnn_input_dim += 2 * args['char_rnn_hid'] self.word_lstm = nn.LSTM(word_rnn_input_dim, args['word_rnn_hid'], args['word_rnn_layers'], bidirectional=True, batch_first=True) self.dropout = nn.Dropout(p=args['dropout']) self.softmax = nn.Softmax(dim=1) def forward(self, data_input): # process the input and return lstm output # chars (data_input[0]): batch_size * char_seq_len * char_emb_dim # words (data_input[1]): batch_size * word_seq_len * word_emb_dim if self.args['char_rnn']: chars, char_start, char_end = data_input[0] batch_size = chars.shape[0] char_emb_out = self.dropout(self.char_emb(chars)) char_lstm_out = self.dropout(self.char_lstm(char_emb_out)[0]) if self.args['word_rnn']: char_lstm_out_f = char_lstm_out[:,:,:self.args['char_rnn_hid']] char_lstm_out_b = char_lstm_out[:,:,self.args['char_rnn_hid']:] word_max_len = np.array(char_start).shape[1] idx = [[ii for i in range(word_max_len)] for ii in range(batch_size)] word_rep_f = char_lstm_out_f[[idx,char_end]] word_rep_b = char_lstm_out_b[[idx,char_start]] word_rep = torch.cat((word_rep_f, word_rep_b), dim=2) if self.args['word_rnn']: words = data_input[1] batch_size = words.shape[0] word_emb_out = self.dropout(self.word_emb(words)) if self.args['char_rnn']: mask = words != self.args['pad_word_idx'] word_rep = word_rep * mask.float().unsqueeze(-1) word_out = torch.cat((word_emb_out, word_rep), dim=2) else: word_out = word_emb_out lstm_out = self.dropout(self.word_lstm(word_out)[0]) return lstm_out # Single-task model class STM(Base_Model): def __init__(self, args, emb): super(STM, self).__init__(args, emb) self.crf = crf.Orig_CRF_S(args['word_rnn_hid'], args['tagset_size']) def forward(self, data_input): lstm_out = super(STM, self).forward(data_input) crf_out = self.crf(lstm_out) return crf_out # Multi-task model class MTM(Base_Model): def __init__(self, args, emb): super(MTM, self).__init__(args, emb) self.crf_list = crf.List_Orig_CRF_S(args['word_rnn_hid'], args['tagset_size'], args['num_tasks']) def forward(self, data_input, task_ids): lstm_out = super(MTM, self).forward(data_input) crf_out = self.crf_list(lstm_out, task_ids) return crf_out # Peng et al, 2016 class Peng_2016(Base_Model): def __init__(self, args, emb, method): assert method in ['domain_mask', 'domain_trans'] super(Peng_2016, self).__init__(args, emb) self.method = method if self.method == 'domain_mask': self.domain_width = int(self.args['word_rnn_hid'] / (self.args['num_tasks']+1)) self.shared_width = args['word_rnn_hid'] - self.domain_width * self.args['num_tasks'] else: self.trans_mat = nn.Parameter(torch.Tensor(self.args['num_tasks'], args['word_rnn_hid']*2, args['word_rnn_hid']*2)) nn.init.xavier_normal_(self.trans_mat) self.crf = crf.Orig_CRF_S(args['word_rnn_hid'], args['tagset_size']) def forward(self, data_input, task_id): lstm_out = super(Peng_2016, self).forward(data_input) if self.method == 'domain_mask': domain_mask = np.zeros(self.args['word_rnn_hid']*2) domain_mask[:self.shared_width] = 1 domain_mask[self.args['word_rnn_hid']:(self.args['word_rnn_hid']+self.shared_width)] = 1 domain_mask[(self.shared_width+self.domain_width*task_id):(self.shared_width+self.domain_width*(task_id+1))] = 1 domain_mask[(self.args['word_rnn_hid']+self.shared_width+self.domain_width*task_id):(self.args['word_rnn_hid']+self.shared_width+self.domain_width*(task_id+1))] = 1 domain_mask = torch.tensor(domain_mask) if self.args['cuda']: domain_mask = domain_mask.cuda() crf_input = lstm_out * domain_mask.float().unsqueeze(0).unsqueeze(0) crf_out = self.crf(crf_input) else: batch_size = lstm_out.shape[0] batch_trans_mat = self.trans_mat[task_id].unsqueeze(0).repeat(batch_size, 1, 1) crf_input = torch.bmm(lstm_out, batch_trans_mat) crf_out = self.crf(crf_input) return crf_out # Crowd-Add class Crowd_add(Base_Model): def __init__(self, args, emb): super(Crowd_add, self).__init__(args, emb) self.crowd_vecs = nn.Parameter(torch.Tensor(args['num_tasks'], args['tagset_size'])) nn.init.xavier_normal_(self.crowd_vecs) self.crf = crf.Crowd_add_CRF_S(args['word_rnn_hid'], args['tagset_size']) def forward(self, data_input, task_ids): lstm_out = super(Crowd_add, self).forward(data_input) batch_size = lstm_out.shape[0] if task_ids: crowd_rep = self.crowd_vecs[task_ids] else: crowd_rep = self.crowd_vecs.mean(0).unsqueeze(0).repeat(batch_size, 1) crf_out = self.crf(lstm_out, crowd_rep) return crf_out # Crowd-Add class Crowd_add_MLP(nn.Module): def __init__(self, args): super(Crowd_add_MLP, self).__init__() self.mlp = nn.Linear(5000, args['mlp_hid']) self.crowd_vecs = nn.Parameter(torch.Tensor(args['num_tasks'], args['mlp_hid'])) nn.init.xavier_normal_(self.crowd_vecs) self.cla = nn.Linear(args['mlp_hid'], 1) self.dropout = nn.Dropout(p=args['dropout']) self.sigmoid = nn.Sigmoid() def forward(self, data_input, task_ids): mlp_out = self.dropout(self.mlp(data_input)) batch_size = mlp_out.shape[0] if task_ids: crowd_rep = self.crowd_vecs[task_ids] else: crowd_rep = self.crowd_vecs.mean(0).unsqueeze(0).repeat(batch_size, 1) mlp_out_ = mlp_out + crowd_rep cla = self.sigmoid(self.cla(mlp_out)).squeeze(1) return cla # Crowd-Add class Crowd_cat(Base_Model): def __init__(self, args, emb): super(Crowd_cat, self).__init__(args, emb) self.crowd_vecs = nn.Parameter(torch.Tensor(args['num_tasks'], 50)) nn.init.xavier_normal_(self.crowd_vecs) self.crf = crf.Orig_CRF_S(args['word_rnn_hid']+25, args['tagset_size']) def forward(self, data_input, task_ids): lstm_out = super(Crowd_cat, self).forward(data_input) batch_size = lstm_out.shape[0] if task_ids: crowd_rep = self.crowd_vecs[task_ids] else: crowd_rep = self.crowd_vecs.mean(0).unsqueeze(0).repeat(batch_size, 1) lstm_out_ = torch.cat((lstm_out, crowd_rep.unsqueeze(1).repeat(1,lstm_out.shape[1],1)), 2) crf_out = self.crf(lstm_out_) return crf_out # Crowd-Add class Crowd_cat_MLP(nn.Module): def __init__(self, args): super(Crowd_cat_MLP, self).__init__() self.mlp = nn.Linear(5000, args['mlp_hid']) self.crowd_vecs = nn.Parameter(torch.Tensor(args['num_tasks'], 50)) nn.init.xavier_normal_(self.crowd_vecs) self.cla = nn.Linear(args['mlp_hid']+50, 1) self.dropout = nn.Dropout(p=args['dropout']) self.sigmoid = nn.Sigmoid() def forward(self, data_input, task_ids): mlp_out = self.dropout(self.mlp(data_input)) batch_size = mlp_out.shape[0] if task_ids: crowd_rep = self.crowd_vecs[task_ids] else: crowd_rep = self.crowd_vecs.mean(0).unsqueeze(0).repeat(batch_size, 1) mlp_out_ = torch.cat((mlp_out, crowd_rep), 1) cla = self.sigmoid(self.cla(mlp_out_)).squeeze(1) return cla # base class for two-phase training Consensus Network class Base_CN(Base_Model): def __init__(self, args, emb): super(Base_CN, self).__init__(args, emb) # attention layer self.attn = nn.Parameter(torch.Tensor(args['word_rnn_hid']*2, args['num_tasks'])) nn.init.xavier_normal_(self.attn) # switch to extraction training def extraction_phase(self): self.attn.requires_grad = False if self.args['char_rnn']: if self.args['fine_tune_char_emb']: self.char_emb.weight.requires_grad = True for param in self.char_lstm.parameters(): param.requires_grad = True if self.args['word_rnn']: if self.args['fine_tune_word_emb']: self.word_emb.weight.requires_grad = True for param in self.word_lstm.parameters(): param.requires_grad = True # switch to aggregation training def aggregation_phase(self): self.attn.requires_grad = True if not self.args['fine_tune']: if self.args['char_rnn']: self.char_emb.weight.requires_grad = False for param in self.char_lstm.parameters(): param.requires_grad = False if self.args['word_rnn']: self.word_emb.weight.requires_grad = False for param in self.word_lstm.parameters(): param.requires_grad = False def forward(self, data_input, sent_end): # sent_end: batch_size or None (in extraction phase) lstm_out = super(Base_CN, self).forward(data_input) batch_size = lstm_out.shape[0] # compute attention output for aggregation phase if sent_end: lstm_out_f = lstm_out[:,:,:int(lstm_out.shape[2]/2)] lstm_out_b = lstm_out[:,:,int(lstm_out.shape[2]/2):] f_sent_rep = lstm_out_f[[range(batch_size),sent_end]] b_sent_rep = lstm_out_b[[range(batch_size),[0]*batch_size]] sent_rep = torch.cat((f_sent_rep, b_sent_rep), dim=1) task_attn = sent_rep.mm(self.attn) return lstm_out, task_attn else: return lstm_out # Two-phase training Consensus Network class CN_2(Base_CN): def __init__(self, args, emb): super(CN_2, self).__init__(args, emb) self.crf = crf.CN_CRF_S(args['word_rnn_hid'], args['tagset_size']) # consensus matrices self.CM = nn.Parameter(torch.Tensor(args['num_tasks'], args['tagset_size'], args['tagset_size'])) nn.init.xavier_normal_(self.CM) def extraction_phase(self): super(CN_2, self).extraction_phase() self.CM.requires_grad = True self.crf.extraction_phase() def aggregation_phase(self): super(CN_2, self).aggregation_phase() if not self.args['fine_tune']: self.CM.requires_grad = False self.crf.aggregation_phase() def forward(self, data_input, sent_end, task_ids): # aggregation phase if task_ids == None: lstm_out, task_attn = super(CN_2, self).forward(data_input, sent_end) batch_size = lstm_out.shape[0] consensus = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM, 0).repeat(batch_size,1,1,1)).sum(1) # extraction phase else: lstm_out = super(CN_2, self).forward(data_input, None) consensus = self.CM[task_ids] crf_out = self.crf(lstm_out, consensus) return crf_out # Flexible Consensus Network (two linear mappings, both task-specific) class FCN_2(Base_CN): def __init__(self, args, emb): super(FCN_2, self).__init__(args, emb) self.crf = crf.FCN_CRF_S(args['word_rnn_hid'], args['tagset_size']) # consensus matrices self.CM1 = nn.Parameter(torch.Tensor(args['num_tasks'], args['tagset_size'], args['cm_dim'])) self.CM2 = nn.Parameter(torch.Tensor(args['num_tasks'], args['cm_dim'], args['tagset_size'])) nn.init.xavier_normal_(self.CM1) nn.init.xavier_normal_(self.CM2) def extraction_phase(self): super(FCN_2, self).extraction_phase() self.CM1.requires_grad = True self.CM2.requires_grad = True self.crf.extraction_phase() def aggregation_phase(self): super(FCN_2, self).aggregation_phase() if not self.args['fine_tune']: self.CM1.requires_grad = False self.CM2.requires_grad = False self.crf.aggregation_phase() def forward(self, data_input, sent_end, task_ids): # aggregation phase if task_ids == None: lstm_out, task_attn = super(FCN_2, self).forward(data_input, sent_end) batch_size = lstm_out.shape[0] consensus1 = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM1, 0).repeat(batch_size,1,1,1)).sum(1) consensus2 = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM2, 0).repeat(batch_size,1,1,1)).sum(1) # extraction phase else: lstm_out = super(FCN_2, self).forward(data_input, None) consensus1 = self.CM1[task_ids] consensus2 = self.CM2[task_ids] crf_out = self.crf(lstm_out, consensus1, consensus2) return crf_out # More Flexible Consensus Network v2 (first mapping shared, second mapping task-specific) class FCN_2_v2(Base_CN): def __init__(self, args, emb): super(FCN_2_v2, self).__init__(args, emb) self.crf = crf.FCN_CRF_S(args['word_rnn_hid'], args['tagset_size']) # consensus matrices self.CM1 = nn.Parameter(torch.Tensor(args['tagset_size'], args['cm_dim'])) self.CM2 = nn.Parameter(torch.Tensor(args['num_tasks'], args['cm_dim'], args['tagset_size'])) nn.init.xavier_normal_(self.CM1) nn.init.xavier_normal_(self.CM2) def extraction_phase(self): super(FCN_2_v2, self).extraction_phase() self.CM1.requires_grad = True self.CM2.requires_grad = True self.crf.extraction_phase() def aggregation_phase(self): super(FCN_2_v2, self).aggregation_phase() if not self.args['fine_tune']: self.CM1.requires_grad = False self.CM2.requires_grad = False self.crf.aggregation_phase() def forward(self, data_input, sent_end, task_ids): # aggregation phase if task_ids == None: lstm_out, task_attn = super(FCN_2_v2, self).forward(data_input, sent_end) batch_size = lstm_out.shape[0] consensus2 = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM2, 0).repeat(batch_size,1,1,1)).sum(1) # extraction phase else: lstm_out = super(FCN_2_v2, self).forward(data_input, None) batch_size = lstm_out.shape[0] consensus2 = self.CM2[task_ids] # first consensus is shared consensus1 = self.CM1.unsqueeze(0).repeat(batch_size, 1, 1) crf_out = self.crf(lstm_out, consensus1, consensus2) return crf_out # Base class for adversarial training Consensus Network class Base_ADV_CN(Base_CN): def __init__(self, args, emb): super(Base_ADV_CN, self).__init__(args, emb) # classifier (for adversarial training) self.cla = nn.Linear(args['word_rnn_hid']*2, args['num_tasks']) nn.init.xavier_normal_(self.cla.weight) def extraction_phase(self): super(Base_ADV_CN, self).extraction_phase() self.cla.weight.requires_grad = False def aggregation_phase(self): super(Base_ADV_CN, self).aggregation_phase() self.cla.weight.requires_grad = False def train_cla_phase(self): self.cla.weight.requires_grad = True self.attn.requires_grad = False if self.args['char_rnn']: self.char_emb.weight.requires_grad = False for param in self.char_lstm.parameters(): param.requires_grad = False if self.args['word_rnn']: self.word_emb.weight.requires_grad = False for param in self.word_lstm.parameters(): param.requires_grad = False def adv_phase(self): self.cla.weight.requires_grad = False self.attn.requires_grad = False if self.args['char_rnn']: self.char_emb.weight.requires_grad = False for param in self.char_lstm.parameters(): param.requires_grad = True if self.args['word_rnn']: self.word_emb.weight.requires_grad = False for param in self.word_lstm.parameters(): param.requires_grad = True def forward(self, data_input, sent_end, model_name): # aggregation phase if model_name == 'adv_cn-agg': lstm_out, task_attn = super(Base_ADV_CN, self).forward(data_input, sent_end) return lstm_out, task_attn # extraction phase elif model_name == 'adv_cn-ext': lstm_out = super(Base_ADV_CN, self).forward(data_input, None) return lstm_out # training classifier phase or adversarial training phase elif model_name in ['adv_cn-adv', 'adv_cn-train_cla']: lstm_out = super(Base_ADV_CN, self).forward(data_input, None) batch_size = lstm_out.shape[0] lstm_out_f = lstm_out[:,:,:self.args['word_rnn_hid']] lstm_out_b = lstm_out[:,:,self.args['word_rnn_hid']:] f_sent_rep = lstm_out_f[[range(batch_size),sent_end]] b_sent_rep = lstm_out_b[[range(batch_size),[0]*batch_size]] sent_rep = torch.cat((f_sent_rep, b_sent_rep), dim=1) cla_out = self.cla(sent_rep) return cla_out class ADV_CN(Base_ADV_CN): def __init__(self, args, emb): super(ADV_CN, self).__init__(args, emb) self.crf = crf.CN_CRF_S(args['word_rnn_hid'], args['tagset_size']) # consensus matrices self.CM = nn.Parameter(torch.Tensor(args['num_tasks'], args['tagset_size'], args['tagset_size'])) nn.init.xavier_normal_(self.CM) def extraction_phase(self): super(ADV_CN, self).extraction_phase() self.CM.requires_grad = True self.crf.extraction_phase() def aggregation_phase(self): super(ADV_CN, self).aggregation_phase() if self.args['fine_tune']: self.CM.requires_grad = True self.crf.extraction_phase() else: self.CM.requires_grad = False self.crf.aggregation_phase() def train_cla_phase(self): super(ADV_CN, self).train_cla_phase() self.CM.requires_grad = False self.crf.aggregation_phase() def adv_phase(self): super(ADV_CN, self).adv_phase() self.CM.requires_grad = False self.crf.aggregation_phase() def forward(self, data_input, sent_end, task_ids, model_name): if model_name == 'adv_cn-agg': lstm_out, task_attn = super(ADV_CN, self).forward(data_input, sent_end, model_name) batch_size = lstm_out.shape[0] consensus = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM, 0).repeat(batch_size,1,1,1)).sum(1) crf_out = self.crf(lstm_out, consensus) return crf_out elif model_name == 'adv_cn-ext': lstm_out = super(ADV_CN, self).forward(data_input, None, model_name) consensus = self.CM[task_ids] crf_out = self.crf(lstm_out, consensus) return crf_out elif model_name in ['adv_cn-adv', 'adv_cn-train_cla']: cla_out = super(ADV_CN, self).forward(data_input, sent_end, model_name) return cla_out class ADV_FCN_v2(Base_ADV_CN): def __init__(self, args, emb): super(ADV_FCN_v2, self).__init__(args, emb) self.crf = crf.FCN_CRF_S(args['word_rnn_hid'], args['tagset_size']) # consensus matrices self.CM1 = nn.Parameter(torch.Tensor(args['tagset_size'], args['cm_dim'])) self.CM2 = nn.Parameter(torch.Tensor(args['num_tasks'], args['cm_dim'], args['tagset_size'])) nn.init.xavier_normal_(self.CM1) nn.init.xavier_normal_(self.CM2) def extraction_phase(self): super(ADV_FCN_v2, self).extraction_phase() self.CM1.requires_grad = True self.CM2.requires_grad = True self.crf.extraction_phase() def aggregation_phase(self): super(ADV_FCN_v2, self).aggregation_phase() if self.args['fine_tune']: self.CM1.requires_grad = True self.CM2.requires_grad = True self.crf.extraction_phase() else: self.CM1.requires_grad = False self.CM2.requires_grad = False self.crf.aggregation_phase() def train_cla_phase(self): super(ADV_FCN_v2, self).train_cla_phase() self.CM1.requires_grad = False self.CM2.requires_grad = False self.crf.aggregation_phase() def adv_phase(self): super(ADV_FCN_v2, self).adv_phase() self.CM1.requires_grad = False self.CM2.requires_grad = False self.crf.aggregation_phase() def forward(self, data_input, sent_end, task_ids, model_name): if model_name == 'adv_cn-agg': lstm_out, task_attn = super(ADV_FCN_v2, self).forward(data_input, sent_end, model_name) batch_size = lstm_out.shape[0] consensus1 = self.CM1.unsqueeze(0).repeat(batch_size, 1, 1) consensus2 = (self.softmax(task_attn).unsqueeze(-1).unsqueeze(-1) * torch.unsqueeze(self.CM2, 0).repeat(batch_size,1,1,1)).sum(1) crf_out = self.crf(lstm_out, consensus1, consensus2) return crf_out elif model_name == 'adv_cn-ext': lstm_out = super(ADV_FCN_v2, self).forward(data_input, None, model_name) batch_size = lstm_out.shape[0] consensus1 = self.CM1.unsqueeze(0).repeat(batch_size, 1, 1) consensus2 = self.CM2[task_ids] crf_out = self.crf(lstm_out, consensus1, consensus2) return crf_out elif model_name in ['adv_cn-adv', 'adv_cn-train_cla']: cla_out = super(ADV_FCN_v2, self).forward(data_input, sent_end, model_name) return cla_out
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py
Python
app/callbacks/__init__.py
oldcryptogeek/coinjerk-btcp
76d16b6c890bf1caa155ff07bca162526db08fc7
[ "MIT" ]
8
2020-09-22T03:40:31.000Z
2021-04-17T15:17:03.000Z
app/callbacks/__init__.py
Zaxounette/coinjerk-btcp
76d16b6c890bf1caa155ff07bca162526db08fc7
[ "MIT" ]
5
2021-01-10T23:36:12.000Z
2022-02-19T06:46:18.000Z
app/callbacks/__init__.py
Zaxounette/coinjerk-btcp
76d16b6c890bf1caa155ff07bca162526db08fc7
[ "MIT" ]
2
2021-01-03T23:36:39.000Z
2021-02-13T15:45:09.000Z
from flask import Blueprint from flask_cors import CORS callbacks = Blueprint('callbacks', __name__) CORS(callbacks) from app.callbacks import routes # noqa: F401 E402
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4be7379cecedc40cb4f67c6e0f4520dc0e493096
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py
Python
WAFNinja/ninja/__init__.py
pretech86/carbontoolkit
60bc3cafe0314cb60752ed165b4a419a0a7f81be
[ "MIT" ]
7
2020-02-29T01:09:22.000Z
2022-02-17T03:37:46.000Z
WAFNinja/ninja/__init__.py
amrm121/carbontoolkit
60bc3cafe0314cb60752ed165b4a419a0a7f81be
[ "MIT" ]
null
null
null
WAFNinja/ninja/__init__.py
amrm121/carbontoolkit
60bc3cafe0314cb60752ed165b4a419a0a7f81be
[ "MIT" ]
2
2020-01-28T07:34:30.000Z
2020-03-01T12:04:43.000Z
__author__ = "Acer" __date__ = "$14.07.2015 15:44:44$"
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4bfba430e4b37bf54efe229e82c50060710c29d9
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py
Python
geoapyfr/admin/__init__.py
hadrilec/geoapyfr
555b42c83f2f100bbd19a6ef5c42743873fcf3a7
[ "MIT" ]
1
2021-08-11T21:45:39.000Z
2021-08-11T21:45:39.000Z
geoapyfr/admin/__init__.py
hadrilec/geoapyfr
555b42c83f2f100bbd19a6ef5c42743873fcf3a7
[ "MIT" ]
null
null
null
geoapyfr/admin/__init__.py
hadrilec/geoapyfr
555b42c83f2f100bbd19a6ef5c42743873fcf3a7
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from .get_departement import get_departement from .get_region import get_region from .get_commune import get_commune __all__ = ['get_departement', 'get_region', 'get_commune']
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ef0e12f9343dd65e63489dadbf2ca309b6fbeec8
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py
Python
espressodb/notifications/templatetags/__init__.py
remram44/espressodb
5aad7222ab81c0f1694b51171e5d197dbcc8a65f
[ "BSD-3-Clause" ]
8
2019-12-10T04:30:01.000Z
2020-10-30T09:40:22.000Z
espressodb/notifications/templatetags/__init__.py
remram44/espressodb
5aad7222ab81c0f1694b51171e5d197dbcc8a65f
[ "BSD-3-Clause" ]
41
2019-10-23T00:26:25.000Z
2021-10-21T07:55:57.000Z
espressodb/notifications/templatetags/__init__.py
remram44/espressodb
5aad7222ab81c0f1694b51171e5d197dbcc8a65f
[ "BSD-3-Clause" ]
3
2020-01-09T21:29:09.000Z
2021-03-14T22:20:52.000Z
"""Templatetags for the notifications module. """
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ef37a1c7faf5c51f2b230b0f5a73aacf3c8553a3
472
py
Python
src/bpp/admin/wydawnictwo_zwarte_autor.py
iplweb/django-bpp
85f183a99d8d5027ae4772efac1e4a9f21675849
[ "BSD-3-Clause" ]
1
2017-04-27T19:50:02.000Z
2017-04-27T19:50:02.000Z
src/bpp/admin/wydawnictwo_zwarte_autor.py
mpasternak/django-bpp
434338821d5ad1aaee598f6327151aba0af66f5e
[ "BSD-3-Clause" ]
41
2019-11-07T00:07:02.000Z
2022-02-27T22:09:39.000Z
src/bpp/admin/wydawnictwo_zwarte_autor.py
iplweb/bpp
f027415cc3faf1ca79082bf7bacd4be35b1a6fdf
[ "BSD-3-Clause" ]
null
null
null
# -*- encoding: utf-8 -*- from django.contrib import admin from bpp.admin.wydawnictwo_autor_base import Wydawnictwo_Autor_Base from bpp.models import Wydawnictwo_Zwarte, Wydawnictwo_Zwarte_Autor @admin.register(Wydawnictwo_Zwarte_Autor) class Wydawnictwo_Zwarte_Autor_Admin(Wydawnictwo_Autor_Base): klasa_autora = Wydawnictwo_Zwarte_Autor base_rekord_class = Wydawnictwo_Zwarte change_list_template = "admin/bpp/wydawnictwo_zwarte_autor/change_list.html"
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ef38a4c47aeadb017fac152be2fea5d802912d94
216,665
py
Python
resources.py
AlexanderPretel/colector
980a2c4f9e5c7ff1d6f12675a9c6868f7fb8cdfe
[ "MIT" ]
null
null
null
resources.py
AlexanderPretel/colector
980a2c4f9e5c7ff1d6f12675a9c6868f7fb8cdfe
[ "MIT" ]
null
null
null
resources.py
AlexanderPretel/colector
980a2c4f9e5c7ff1d6f12675a9c6868f7fb8cdfe
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.12.8) # # WARNING! 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\x34\xcd\x21\x18\x86\x91\x13\xf0\x7d\xc0\x1f\x5e\x40\x0e\xc0\x33\ \xfd\xc7\xbd\x7e\x6e\x60\xbb\x0f\x1f\x97\xe1\xaf\xb7\xff\x3c\x2b\ \xff\xec\xaa\x6e\xa4\xa3\x69\xf6\xed\xff\x53\xb9\x2a\x88\x1e\xbb\ \x5e\x97\x00\x00\x00\x00\x49\x45\x4e\x44\xae\x42\x60\x82\ " qt_resource_name = b"\ \x00\x07\ \x07\x3b\xe0\xb3\ \x00\x70\ \x00\x6c\x00\x75\x00\x67\x00\x69\x00\x6e\x00\x73\ \x00\x08\ \x06\x2b\xa2\x22\ \x00\x43\ \x00\x6f\x00\x6c\x00\x65\x00\x63\x00\x74\x00\x6f\x00\x72\ \x00\x08\ \x0a\x61\x5a\xa7\ \x00\x69\ \x00\x63\x00\x6f\x00\x6e\x00\x2e\x00\x70\x00\x6e\x00\x67\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x14\x00\x02\x00\x00\x00\x01\x00\x00\x00\x03\ \x00\x00\x00\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x14\x00\x02\x00\x00\x00\x01\x00\x00\x00\x03\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x78\xa4\x89\x18\xf5\ " qt_version = [int(v) for v in QtCore.qVersion().split('.')] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()
65.240891
103
0.727247
52,440
216,665
3.004024
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0.005751
0.004342
0.003123
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0.015729
216,665
3,320
104
65.260542
0.432398
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0.000005
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0
0
0
0
0
0
0
0
4
ef4a0960c5b953b840c2ca563441b25172a05db8
212
py
Python
tests/e2e_tests/test_gylm/__init__.py
rudolfspetrovs/benchml
896673f387a6bb9b185664ddd54f569a1ba54e51
[ "Apache-2.0" ]
3
2021-08-12T13:25:31.000Z
2022-03-21T21:30:22.000Z
tests/e2e_tests/test_gylm/__init__.py
rudolfspetrovs/benchml
896673f387a6bb9b185664ddd54f569a1ba54e51
[ "Apache-2.0" ]
5
2020-12-08T08:59:41.000Z
2022-01-22T06:46:09.000Z
tests/e2e_tests/test_gylm/__init__.py
rudolfspetrovs/benchml
896673f387a6bb9b185664ddd54f569a1ba54e51
[ "Apache-2.0" ]
1
2021-06-25T11:07:32.000Z
2021-06-25T11:07:32.000Z
import os from benchml.test import TestMock class TestGylm(TestMock): model_regex = ["bmol_gylm_standard_int_krr"] data_dir = ("..", "test_data", "molecular_tiny") path = os.path.dirname(__file__)
21.2
52
0.712264
28
212
4.964286
0.785714
0
0
0
0
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0.160377
212
9
53
23.555556
0.780899
0
0
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0
0
0.240566
0.122642
0
0
0
0
0
1
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false
0
0.333333
0
1
0
1
0
0
null
0
0
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0
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0
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0
0
0
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null
0
0
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0
0
0
0
0
1
0
1
0
0
4
ef67c745bf3e12a2139d99c76796d6dbed132650
133
py
Python
store/context_processor.py
kenkennie/Ecommerce-website-with-django
50a4a0f3e6f8b57773df0599c0578988cbb3f342
[ "MIT" ]
2
2021-08-11T09:38:45.000Z
2022-02-24T19:26:18.000Z
store/context_processor.py
kenkennie/Ecommerce-website-with-django
50a4a0f3e6f8b57773df0599c0578988cbb3f342
[ "MIT" ]
null
null
null
store/context_processor.py
kenkennie/Ecommerce-website-with-django
50a4a0f3e6f8b57773df0599c0578988cbb3f342
[ "MIT" ]
null
null
null
from .models import Category def categories (request): return { 'categories':Category.objects.all() }
14.777778
43
0.586466
12
133
6.5
0.833333
0
0
0
0
0
0
0
0
0
0
0
0.315789
133
9
44
14.777778
0.857143
0
0
0
0
0
0.074627
0
0
0
0
0
0
1
0.2
false
0
0.2
0.2
0.6
0
1
0
0
null
0
0
0
0
0
0
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0
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null
0
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0
0
0
0
1
1
0
0
4
322e8564e8c7304a604e72dfb2c085834b7e6ba1
3,030
py
Python
core/REST_permissions.py
gcnoopy/YaraGuardian
aa5f7ea1bada193ef1f2355b0446dfc78aa9d0f7
[ "Apache-2.0" ]
178
2017-07-31T08:29:04.000Z
2022-03-29T08:03:05.000Z
core/REST_permissions.py
fr0gger/YaraGuardian
56c7339f816114ee0c350fa08afd4f6742c9b7b7
[ "Apache-2.0" ]
31
2017-08-02T19:19:02.000Z
2019-10-11T17:56:39.000Z
core/REST_permissions.py
fr0gger/YaraGuardian
56c7339f816114ee0c350fa08afd4f6742c9b7b7
[ "Apache-2.0" ]
51
2017-07-28T22:31:51.000Z
2021-07-28T09:06:49.000Z
from rest_framework import permissions from rest_framework.permissions import BasePermission from django.core.exceptions import ObjectDoesNotExist from django.contrib.auth.models import Group def group_owner(request): group_name = request.resolver_match.kwargs.get('group_name') try: group = Group.objects.get(name=group_name) except ObjectDoesNotExist: pass else: if request.user == group.groupmeta.owner: return True return False def group_admin(request): group_name = request.resolver_match.kwargs.get('group_name') try: group = Group.objects.get(name=group_name) except ObjectDoesNotExist: pass else: if request.user == group.groupmeta.owner: return True elif request.user in group.groupmeta.admins.all(): return True return False def group_member(request): group_name = request.resolver_match.kwargs.get('group_name') if request.user.groups.filter(name=group_name).exists(): return True return False class IsGroupMember(BasePermission): def has_permission(self, request, view): return group_member(request) class IsGroupMemberOrPublicReadOnly(BasePermission): def has_permission(self, request, view): if group_member(request): return True elif request.method in permissions.SAFE_METHODS: return True return False class IsGroupAdmin(BasePermission): def has_permission(self, request, view): if group_member(request) and group_admin(request): return True return False class IsGroupAdminOrMemberReadOnly(BasePermission): def has_permission(self, request, view): if group_member(request): if group_admin(request): return True elif request.method in permissions.SAFE_METHODS: return True return False class IsGroupAdminOrMemberAddMethod(BasePermission): def has_permission(self, request, view): if group_member(request): if group_admin(request): return True elif request.method == 'POST': return True return False class IsGroupOwner(BasePermission): def has_permission(self, request, view): if group_member(request) and group_owner(request): return True return False class IsGroupOwnerOrMemberReadOnly(BasePermission): def has_permission(self, request, view): if group_member(request): if group_owner(request): return True elif request.method in permissions.SAFE_METHODS: return True return False class IsGroupOwnerOrPublicReadOnly(BasePermission): def has_permission(self, request, view): if group_member(request) and group_owner(request): return True elif request.method in permissions.SAFE_METHODS: return True return False
24.047619
64
0.664026
328
3,030
6.003049
0.182927
0.08126
0.08126
0.106653
0.752158
0.72321
0.673946
0.651092
0.651092
0.651092
0
0
0.267987
3,030
125
65
24.24
0.887737
0
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0.743902
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0.011221
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0.134146
false
0.02439
0.04878
0.012195
0.609756
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null
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0
0
0
0
0
0
1
0
0
4
3230c385bedbf8860ccc53f0828d397d96aec236
120
py
Python
scratch.py
GavinGuan95/Generative-VQA
0912e3a2426809ef4d4eb40bae667b31c2269161
[ "MIT" ]
1
2021-06-08T02:55:16.000Z
2021-06-08T02:55:16.000Z
scratch.py
puzzlecollector/Generative-VQA
0912e3a2426809ef4d4eb40bae667b31c2269161
[ "MIT" ]
1
2021-06-21T04:05:26.000Z
2021-06-21T04:05:26.000Z
scratch.py
puzzlecollector/Generative-VQA
0912e3a2426809ef4d4eb40bae667b31c2269161
[ "MIT" ]
1
2021-06-08T02:31:59.000Z
2021-06-08T02:31:59.000Z
import pickle temp = pickle.load(open("./cache/vqa2_nonimdb_boxes10-100ada_train2014visualprecomp.pkl", 'rb')) print(1)
30
96
0.791667
16
120
5.75
0.9375
0
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0
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0
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0.097345
0.058333
120
4
97
30
0.716814
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0.528926
0.512397
0
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1
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false
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0.333333
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0.333333
0.333333
1
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null
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0
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0
0
0
1
0
0
0
0
4
32676b7bc654a3bac37c896c1ed209aa1f5839e4
87
py
Python
myexam/apps.py
PrinceSingh-123/solutiontube-2020
01b756a7e1cf78d112c58a7ac52906255bcb252c
[ "MIT" ]
null
null
null
myexam/apps.py
PrinceSingh-123/solutiontube-2020
01b756a7e1cf78d112c58a7ac52906255bcb252c
[ "MIT" ]
9
2019-10-21T18:46:11.000Z
2022-03-11T23:43:59.000Z
ExamModule/myexam/apps.py
neopentane/exam-module
95d8bc33836afcb760b777dc9a945fde4ed2749e
[ "MIT" ]
null
null
null
from django.apps import AppConfig class MyexamConfig(AppConfig): name = 'myexam'
14.5
33
0.747126
10
87
6.5
0.9
0
0
0
0
0
0
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0
0
0
0
0.172414
87
5
34
17.4
0.902778
0
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0.068966
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1
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false
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0.333333
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1
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null
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null
0
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0
0
0
0
1
0
1
0
0
4
32ac40ebe6847594191c1af3b78d1e219142432b
763
py
Python
sciengdox/tests/test_constants.py
gbingersoll/sciengdox
01d953e0b0cfdf1022c2b06ca1e7f83801edd39b
[ "MIT" ]
5
2020-12-09T09:04:35.000Z
2022-01-17T10:44:30.000Z
sciengdox/tests/test_constants.py
gbingersoll/sciengdox
01d953e0b0cfdf1022c2b06ca1e7f83801edd39b
[ "MIT" ]
13
2020-05-27T22:45:13.000Z
2022-03-01T21:45:31.000Z
sciengdox/tests/test_constants.py
gbingersoll/sciengdox
01d953e0b0cfdf1022c2b06ca1e7f83801edd39b
[ "MIT" ]
null
null
null
from pytest import approx from sciengdox.units import ureg import sciengdox.constants as constants def test_c0_has_correct_units_and_value(): assert constants.c0.m == approx(299792458) assert constants.c0.u == ureg.parse_units('m / s') def test_planck_constant_has_correct_units_and_value(): assert constants.h.m == approx(6.62607004e-34, abs=1e-40) assert constants.h.u == ureg.parse_units('m^2 kg / s') def test_proton_mass_has_correct_units_and_value(): assert constants.proton_mass.m == approx(1.6726219e-27, abs=1e-34) assert constants.proton_mass.u == ureg.parse_units('kg') def test_g_has_correct_units_and_value(): assert constants.g.m == approx(9.80665, abs=1e-6) assert constants.g.u == ureg.parse_units('m/s^2')
31.791667
70
0.747051
126
763
4.269841
0.325397
0.223048
0.111524
0.133829
0.375465
0.345725
0.282528
0
0
0
0
0.073906
0.131062
763
23
71
33.173913
0.737557
0
0
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0
0
0.028834
0
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0
0
0
0.533333
1
0.266667
true
0
0.2
0
0.466667
0
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null
1
0
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0
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null
0
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1
0
1
1
0
0
0
0
0
0
4
32c5af759d39a1d7bbf22c5fb2f80da126d716c9
92
py
Python
Dicts.py
maiconloure/Learning_Python
2999508909ace5f8ca0708cdea93b82abaaeafb2
[ "MIT" ]
null
null
null
Dicts.py
maiconloure/Learning_Python
2999508909ace5f8ca0708cdea93b82abaaeafb2
[ "MIT" ]
null
null
null
Dicts.py
maiconloure/Learning_Python
2999508909ace5f8ca0708cdea93b82abaaeafb2
[ "MIT" ]
null
null
null
# How to merge two dicts x = {'a': 1, 'b': 2} y = {'c': 3, 'd': 4} z = {**x, **y} print(z)
13.142857
24
0.402174
20
92
1.85
0.85
0
0
0
0
0
0
0
0
0
0
0.058824
0.26087
92
7
25
13.142857
0.485294
0.23913
0
0
0
0
0.057971
0
0
0
0
0
0
1
0
false
0
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0
0
0.25
1
0
1
null
0
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0
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1
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1
0
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0
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0
null
0
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0
0
0
0
0
0
0
0
0
0
4
086357cb68b6e0a417fa1261145bfbf209f1cb7b
565
py
Python
TrekBot2_WS/build/nav_core/catkin_generated/pkg.develspace.context.pc.py
Rafcin/RescueRoboticsLHMV
d3dc63e6c16a040b16170f143556ef358018b7da
[ "Unlicense" ]
1
2018-10-04T14:37:00.000Z
2018-10-04T14:37:00.000Z
TrekBot2_WS/build/nav_core/catkin_generated/pkg.develspace.context.pc.py
Rafcin/TrekBot
d3dc63e6c16a040b16170f143556ef358018b7da
[ "Unlicense" ]
null
null
null
TrekBot2_WS/build/nav_core/catkin_generated/pkg.develspace.context.pc.py
Rafcin/TrekBot
d3dc63e6c16a040b16170f143556ef358018b7da
[ "Unlicense" ]
null
null
null
# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/xavier_ssd/TrekBot/TrekBot2_WS/src/navigation/nav_core/include".split(';') if "/xavier_ssd/TrekBot/TrekBot2_WS/src/navigation/nav_core/include" != "" else [] PROJECT_CATKIN_DEPENDS = "std_msgs;geometry_msgs;tf2_ros;costmap_2d".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "nav_core" PROJECT_SPACE_DIR = "/xavier_ssd/TrekBot/TrekBot2_WS/devel/.private/nav_core" PROJECT_VERSION = "1.16.2"
62.777778
193
0.769912
81
565
5
0.580247
0.069136
0.118519
0.177778
0.325926
0.261728
0.261728
0.261728
0.261728
0.261728
0
0.01711
0.069027
565
8
194
70.625
0.752852
0.095575
0
0
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0.471513
0.436149
0
0
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false
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null
0
0
1
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py
Python
piccolo/__init__.py
ariebovenberg/piccolo
2d70ba95e661e92bf1b1ea0335d1636da32cd544
[ "MIT" ]
null
null
null
piccolo/__init__.py
ariebovenberg/piccolo
2d70ba95e661e92bf1b1ea0335d1636da32cd544
[ "MIT" ]
null
null
null
piccolo/__init__.py
ariebovenberg/piccolo
2d70ba95e661e92bf1b1ea0335d1636da32cd544
[ "MIT" ]
null
null
null
__VERSION__ = "0.69.1"
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py
Python
zhaquirks/aurora/__init__.py
WolfRevo/zha-device-handlers
0fa4ca1c03c611be0cf2c38c4fec2a197e3dd1d3
[ "Apache-2.0" ]
213
2020-04-16T10:48:31.000Z
2022-03-30T20:48:07.000Z
zhaquirks/aurora/__init__.py
WolfRevo/zha-device-handlers
0fa4ca1c03c611be0cf2c38c4fec2a197e3dd1d3
[ "Apache-2.0" ]
1,088
2020-04-03T13:23:29.000Z
2022-03-31T23:55:03.000Z
zhaquirks/aurora/__init__.py
WolfRevo/zha-device-handlers
0fa4ca1c03c611be0cf2c38c4fec2a197e3dd1d3
[ "Apache-2.0" ]
280
2020-04-24T08:44:27.000Z
2022-03-31T12:58:04.000Z
"""Module for Aurora devices."""
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088ff8d45a2c1c33e46f3b92885928d389cc0ba7
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py
Python
integration_tests/tc/test_river_list.py
aiqa/geo-docker-django
87dbb841ce79d43222b7a03f708b142dc4de36de
[ "MIT" ]
1
2020-08-26T17:59:26.000Z
2020-08-26T17:59:26.000Z
integration_tests/tc/test_river_list.py
aiqa/geo-docker-django
87dbb841ce79d43222b7a03f708b142dc4de36de
[ "MIT" ]
12
2020-06-06T00:56:38.000Z
2022-02-19T00:17:10.000Z
integration_tests/tc/test_river_list.py
aiqa/geo-docker-django
87dbb841ce79d43222b7a03f708b142dc4de36de
[ "MIT" ]
1
2022-03-16T14:00:24.000Z
2022-03-16T14:00:24.000Z
import pytest import requests from .. import endpoints class TestRiverList: """Test for River""" def test_river_list(self, sample_river): """River List""" river_list_response = requests.get(endpoints.river_list) assert river_list_response.status_code == 200 assert len(river_list_response.json()) > 0
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08ba03bf3e02042ad3ef2287ac77e4faaf990212
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py
Python
datasketch/version.py
tallamjr/datasketch
7229f48cdaa0f49d36f5904d447bdbd11a6b65a5
[ "MIT" ]
null
null
null
datasketch/version.py
tallamjr/datasketch
7229f48cdaa0f49d36f5904d447bdbd11a6b65a5
[ "MIT" ]
null
null
null
datasketch/version.py
tallamjr/datasketch
7229f48cdaa0f49d36f5904d447bdbd11a6b65a5
[ "MIT" ]
null
null
null
__version__="1.5.4"
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08bffa915740793c608db2d739bc213b812187d2
1,199
py
Python
docbook/core/migrations/0002_auto_20211113_1310.py
dhruvs19/docbook
cacff9e014c88fe7f1cee197dac53ec78ee4342e
[ "MIT" ]
null
null
null
docbook/core/migrations/0002_auto_20211113_1310.py
dhruvs19/docbook
cacff9e014c88fe7f1cee197dac53ec78ee4342e
[ "MIT" ]
null
null
null
docbook/core/migrations/0002_auto_20211113_1310.py
dhruvs19/docbook
cacff9e014c88fe7f1cee197dac53ec78ee4342e
[ "MIT" ]
null
null
null
# Generated by Django 3.1.4 on 2021-11-13 07:40 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('core', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='docprofile', name='address2', ), migrations.RemoveField( model_name='docprofile', name='blood_type', ), migrations.RemoveField( model_name='docprofile', name='city', ), migrations.RemoveField( model_name='docprofile', name='clinical_employment', ), migrations.RemoveField( model_name='docprofile', name='height', ), migrations.RemoveField( model_name='docprofile', name='photo_id', ), migrations.RemoveField( model_name='docprofile', name='right_to_sell', ), migrations.RemoveField( model_name='docprofile', name='state', ), migrations.RemoveField( model_name='docprofile', name='weight', ), ]
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py
Python
src/garage/torch/value_functions/__init__.py
bainro/garage
c5afbb19524792d9bbad9b9741f45e1d48ddca3d
[ "MIT" ]
null
null
null
src/garage/torch/value_functions/__init__.py
bainro/garage
c5afbb19524792d9bbad9b9741f45e1d48ddca3d
[ "MIT" ]
null
null
null
src/garage/torch/value_functions/__init__.py
bainro/garage
c5afbb19524792d9bbad9b9741f45e1d48ddca3d
[ "MIT" ]
null
null
null
"""Value functions which use PyTorch.""" from garage.torch.value_functions.gaussian_mlp_value_function import \ GaussianMLPValueFunction __all__ = ['GaussianMLPValueFunction']
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3ebdd68d685ff8c2dce951e730f76155081c3d2b
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py
Python
mainApp/migrations/0006_auto_20200815_1617.py
asanka9/youtubeAdmin
3848027dfd5cf6493eeab9c50a9be9e2fb634b28
[ "Apache-2.0" ]
null
null
null
mainApp/migrations/0006_auto_20200815_1617.py
asanka9/youtubeAdmin
3848027dfd5cf6493eeab9c50a9be9e2fb634b28
[ "Apache-2.0" ]
null
null
null
mainApp/migrations/0006_auto_20200815_1617.py
asanka9/youtubeAdmin
3848027dfd5cf6493eeab9c50a9be9e2fb634b28
[ "Apache-2.0" ]
null
null
null
# Generated by Django 3.0.5 on 2020-08-15 10:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('mainApp', '0005_auto_20200815_1522'), ] operations = [ migrations.CreateModel( name='Completed', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('project_name', models.CharField(max_length=128)), ('lesson_name', models.CharField(max_length=128)), ('sublesson_name', models.CharField(max_length=128)), ], ), migrations.AlterField( model_name='lessons', name='name', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='lessons', name='project_name', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='projects', name='name', field=models.CharField(max_length=128, unique=True), ), migrations.AlterField( model_name='sublessons', name='lesson_name', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='sublessons', name='name', field=models.CharField(max_length=256), ), migrations.AlterField( model_name='sublessons', name='project_name', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='videolessons', name='chanel', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='videolessons', name='lesson_name', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='videolessons', name='project_name', field=models.CharField(max_length=128), ), migrations.AlterField( model_name='videolessons', name='sublesson_name', field=models.CharField(max_length=128), ), ]
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3ec4a912c7729c2243be4a0e5d3716283dad99a6
58
py
Python
src/video_effect_star_war_like.py
GoyalYatin/Youtube-Downloader
1bcd129361998bbf7bac5131c63d81f7a70ad682
[ "MIT" ]
null
null
null
src/video_effect_star_war_like.py
GoyalYatin/Youtube-Downloader
1bcd129361998bbf7bac5131c63d81f7a70ad682
[ "MIT" ]
null
null
null
src/video_effect_star_war_like.py
GoyalYatin/Youtube-Downloader
1bcd129361998bbf7bac5131c63d81f7a70ad682
[ "MIT" ]
null
null
null
# https://zulko.github.io/moviepy/examples/star_worms.html
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3ec71580f1cff18e705ed0b95ba3ab6fe741ed01
80
py
Python
creds.py
bit-git/psirt_checker
9c7f669152362d46c2df4058121c61f24e3ea77d
[ "MIT" ]
null
null
null
creds.py
bit-git/psirt_checker
9c7f669152362d46c2df4058121c61f24e3ea77d
[ "MIT" ]
null
null
null
creds.py
bit-git/psirt_checker
9c7f669152362d46c2df4058121c61f24e3ea77d
[ "MIT" ]
null
null
null
CLIENT_ID = "mxxgwertsps7ry9zsdkk7r3" CLIENT_SECRET = "adqB3jegsvbYbJfcx27As5au"
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3ec8a28d78821fd2a97260247922b30635b1173e
141
py
Python
15/lattice_paths.py
redfast00/euler
98fc49a1fcb8b49415cc4384952a6447378bd4f4
[ "MIT" ]
null
null
null
15/lattice_paths.py
redfast00/euler
98fc49a1fcb8b49415cc4384952a6447378bd4f4
[ "MIT" ]
null
null
null
15/lattice_paths.py
redfast00/euler
98fc49a1fcb8b49415cc4384952a6447378bd4f4
[ "MIT" ]
null
null
null
from math import factorial def choose(n, k): return factorial(n)//(factorial(n-k)*factorial(k)) size = 20 print(choose(2*size, size))
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3ed7da49212e06607df687659fce7027f1882382
53
py
Python
run.py
ChittiVersion/Lichess-bot
69dff24138f38b55b433bd6aed54cf64b7e1edc3
[ "BSD-3-Clause" ]
null
null
null
run.py
ChittiVersion/Lichess-bot
69dff24138f38b55b433bd6aed54cf64b7e1edc3
[ "BSD-3-Clause" ]
null
null
null
run.py
ChittiVersion/Lichess-bot
69dff24138f38b55b433bd6aed54cf64b7e1edc3
[ "BSD-3-Clause" ]
null
null
null
import os os.system("python3 lichess-bot.py -u")
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41090218e9c998aefadc550da81ecb54c7e53fe5
176
py
Python
mayan/apps/authentication/utils.py
bonitobonita24/Mayan-EDMS
7845fe0e1e83c81f5d227a16116397a3d3883b85
[ "Apache-2.0" ]
343
2015-01-05T14:19:35.000Z
2018-12-10T19:07:48.000Z
mayan/apps/authentication/utils.py
bonitobonita24/Mayan-EDMS
7845fe0e1e83c81f5d227a16116397a3d3883b85
[ "Apache-2.0" ]
191
2015-01-03T00:48:19.000Z
2018-11-30T09:10:25.000Z
mayan/apps/authentication/utils.py
bonitobonita24/Mayan-EDMS
7845fe0e1e83c81f5d227a16116397a3d3883b85
[ "Apache-2.0" ]
114
2015-01-08T20:21:05.000Z
2018-12-10T19:07:53.000Z
def get_context_user(context): if 'user' in context: return context['user'] elif 'request' in context: return getattr(context['request'], 'user', None)
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411d9c7a24403f91eefc625d1a586be7613d8e94
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py
Python
tmonitor/notify/__init__.py
cahorn/tmonitor
696425b602887cc99fcb0e15b17ef8d16d2e1cd3
[ "WTFPL" ]
null
null
null
tmonitor/notify/__init__.py
cahorn/tmonitor
696425b602887cc99fcb0e15b17ef8d16d2e1cd3
[ "WTFPL" ]
null
null
null
tmonitor/notify/__init__.py
cahorn/tmonitor
696425b602887cc99fcb0e15b17ef8d16d2e1cd3
[ "WTFPL" ]
null
null
null
__all__ = ['email']
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20
10.5
0.470588
0
0
0
0
0
0.25
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
4
412cfd39f31c9dfd7643eb2429700dfd829ce3de
27
py
Python
packages/tar.py
bratsche/bockbuild
04d583550aa8e067f84dcc081be61fd1a78d71e3
[ "MIT" ]
null
null
null
packages/tar.py
bratsche/bockbuild
04d583550aa8e067f84dcc081be61fd1a78d71e3
[ "MIT" ]
null
null
null
packages/tar.py
bratsche/bockbuild
04d583550aa8e067f84dcc081be61fd1a78d71e3
[ "MIT" ]
null
null
null
GnuPackage ('tar', '1.26')
13.5
26
0.592593
4
27
4
1
0
0
0
0
0
0
0
0
0
0
0.125
0.111111
27
1
27
27
0.541667
0
0
0
0
0
0.259259
0
0
0
0
0
0
1
0
true
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
4
f5b459e458902454e37a122367a6b4b69712c8f5
127
py
Python
atividades/ex010.py
leonardoarthur/PythonAtividades
9bb2b6e1d7788d99276730de5f199cb0e9ab782f
[ "MIT" ]
1
2021-05-02T09:03:27.000Z
2021-05-02T09:03:27.000Z
atividades/ex010.py
leonardoarthur/PythonAtividades
9bb2b6e1d7788d99276730de5f199cb0e9ab782f
[ "MIT" ]
null
null
null
atividades/ex010.py
leonardoarthur/PythonAtividades
9bb2b6e1d7788d99276730de5f199cb0e9ab782f
[ "MIT" ]
null
null
null
r = float(input('Seja bem vindo, quanto dinheiro(em reais) você tem?')) print('Seu saldo em dólares é: {:.2f}'.format(r/5.57))
42.333333
71
0.677165
23
127
3.73913
0.913043
0
0
0
0
0
0
0
0
0
0
0.036036
0.125984
127
2
72
63.5
0.738739
0
0
0
0
0
0.637795
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
4
f5bf8f189fd0c6e80e7928561cd3e637a38903e5
440
py
Python
versions.py
yoavram/mamba
c0fae9cc05d0fda493c144186bebfa518bcec9cd
[ "MIT" ]
1
2018-09-20T20:27:30.000Z
2018-09-20T20:27:30.000Z
versions.py
yoavram/mamba
c0fae9cc05d0fda493c144186bebfa518bcec9cd
[ "MIT" ]
null
null
null
versions.py
yoavram/mamba
c0fae9cc05d0fda493c144186bebfa518bcec9cd
[ "MIT" ]
null
null
null
def print_underscore_version(module): print module.__name__, module.__version__ def print_double_version(module): print module.__name__, module.version.version import os import logging import json import numpy import pandas import scipy import cython print_underscore_version(logging) print_underscore_version(json) print_double_version(scipy) print_double_version(pandas) print_double_version(numpy) a = os.system("cython --version")
22
46
0.843182
60
440
5.75
0.283333
0.127536
0.208696
0.13913
0.237681
0.237681
0.237681
0
0
0
0
0
0.086364
440
20
47
22
0.858209
0
0
0
0
0
0.036281
0
0
0
0
0
0
0
null
null
0
0.411765
null
null
0.529412
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
1
0
0
1
0
4
f5c4b606808d4ddfdd3998b4bf9d561172774caf
6,767
py
Python
config/config.py
guopeiming/NNTranSegmentor
4496932bfb93f64de0d0c07236c1dd523e6577c3
[ "Apache-2.0" ]
null
null
null
config/config.py
guopeiming/NNTranSegmentor
4496932bfb93f64de0d0c07236c1dd523e6577c3
[ "Apache-2.0" ]
null
null
null
config/config.py
guopeiming/NNTranSegmentor
4496932bfb93f64de0d0c07236c1dd523e6577c3
[ "Apache-2.0" ]
null
null
null
# @Author : guopeiming # @Contact : guopeiming2016@{qq, gmail, 163}.com from config import Constants from configparser import ConfigParser class MyConf(ConfigParser): """ MyConf """ def __init__(self, config_file, *args, **kwargs): super(MyConf, self).__init__(*args, **kwargs) self.read(filenames=config_file, encoding='utf-8') def __str__(self): res = "" for sect in self.sections(): res = res + '[' + sect + ']\n' for k, v in self.items(sect): res = res + k + ' : ' + v + '\n' res += '\n' return res @property def char_min_fre(self): return self.getint('Preprocess', 'char_min_fre') @property def word_min_fre(self): return self.getint('Preprocess', 'word_min_fre') @property def bichar_min_fre(self): return self.getint('Preprocess', 'bichar_min_fre') @property def data_path(self): return self.get('Data', 'data_path') @property def dict_data_path(self): return self.get('Data', 'dict_data_path') @property def logits_path(self): return self.get('Data', 'logits_path') @property def cache_3gram_path(self): return self.get('Data', 'cache_3gram_path') @property def pretrained_embed_char(self): return self.getboolean('Embed', 'pretrained_embed_char') @property def pretrained_embed_bichar(self): return self.getboolean('Embed', 'pretrained_embed_bichar') @property def char_gen_oov_uniform(self): return self.getfloat('Embed', 'char_gen_oov_uniform') @property def bichar_gen_oov_uniform(self): return self.getfloat('Embed', 'bichar_gen_oov_uniform') @property def pretrained_char_embed_file(self): return self.get('Embed', 'pretrained_char_embed_file') @property def pretrained_bichar_embed_file(self): return self.get('Embed', 'pretrained_bichar_embed_file') @property def char_gen_oov_mode(self): return self.get('Embed', 'char_gen_oov_mode') @property def bichar_gen_oov_mode(self): return self.get('Embed', 'bichar_gen_oov_mode') @property def seed(self): return self.getint('Train', 'seed') @property def use_cuda(self): return self.getboolean('Train', 'use_cuda') @property def cuda_id(self): return self.getint('Train', 'cuda_id') @property def distillLambda(self): return self.getfloat('Train', 'distillLambda') @property def batch_size(self): return self.getint('Train', 'batch_size') @property def shuffle(self): return self.getboolean('Train', 'shuffle') @property def num_workers(self): return self.getint('Train', 'num_workers') @property def drop_last(self): return self.getboolean('Train', 'drop_last') @property def epoch(self): return self.getint('Train', 'epoch') @property def accumulation_steps(self): return self.getint('Train', 'accumulation_steps') @property def logInterval(self): return self.getint('Train', 'logInterval') @property def valInterval(self): return self.getint('Train', 'valInterval') @property def visuParaInterval(self): return self.getint('Train', 'visuParaInterval') @property def saveInterval(self): return self.getint('Train', 'saveInterval') @property def save_path(self): return self.get('Train', 'save_path') @property def visual_logger_path(self): return self.get('Train', 'visual_logger_path') @property def is_stack(self): return self.getboolean('Model', 'is_stack') @property def char_embed_dim(self): return self.getint('Model', 'char_embed_dim') @property def char_embed_dim_no_static(self): return self.getint('Model', 'char_embed_dim_no_static') @property def bichar_embed_dim(self): return self.getint('Model', 'bichar_embed_dim') @property def bichar_embed_dim_no_static(self): return self.getint('Model', 'bichar_embed_dim_no_static') @property def dropout_embed(self): return self.getfloat('Model', 'dropout_embed') @property def char_embed_max_norm(self): num = self.getfloat('Model', 'char_embed_max_norm') assert num >= 0., 'Char_max_norm must greater than 0.0' return None if abs(num - 0.) < Constants.EPSILON else num @property def bichar_embed_max_norm(self): num = self.getfloat('Model', 'bichar_embed_max_norm') assert num >= 0., 'Word_max_norm must greater than 0.0' return None if abs(num - 0.) < Constants.EPSILON else num @property def encoder_embed_dim(self): return self.getint('Model', 'encoder_embed_dim') @property def dropout_encoder_embed(self): return self.getfloat('Model', 'dropout_encoder_embed') @property def encoder_lstm_hid_size(self): return self.getint('Model', 'encoder_lstm_hid_size') @property def dropout_encoder_hid(self): return self.getfloat('Model', 'dropout_encoder_hid') @property def subword_lstm_hid_size(self): return self.getint('Model', 'subword_lstm_hid_size') @property def word_lstm_hid_size(self): return self.getint('Model', 'word_lstm_hid_size') @property def freeze_bert(self): return self.getboolean('Model', 'freeze_bert') @property def freeze_bert_layers(self): return self.getint('Model', 'freeze_bert_layers') @property def opti_name(self): return self.get('Optimizer', 'name') @property def learning_rate(self): return self.getfloat('Optimizer', 'learning_rate') @property def fine_tune_lr(self): return self.getfloat('Optimizer', 'fine_tune_lr') @property def weight_decay(self): return self.getfloat('Optimizer', 'weight_decay') @property def clip_grad(self): return self.getboolean('Optimizer', 'clip_grad') @property def clip_grad_max_norm(self): return self.getfloat('Optimizer', 'clip_grad_max_norm') @property def warmup_steps(self): return self.getint('Optimizer', 'warmup_steps') @property def lr_decay_factor(self): return self.getfloat('Optimizer', 'lr_decay_factor') @property def momentum(self): return self.getfloat('Optimizer', 'momentum') @property def dampening(self): return self.getfloat('Optimizer', 'dampening') @property def nesterov(self): return self.getboolean('Optimizer', 'nesterov')
26.127413
66
0.64386
819
6,767
5.072039
0.155067
0.153587
0.188734
0.110737
0.567886
0.330043
0.282378
0.179104
0.056813
0.037073
0
0.00348
0.235703
6,767
258
67
26.228682
0.799691
0.011083
0
0.3125
0
0
0.190441
0.038058
0
0
0
0
0.010417
1
0.3125
false
0
0.010417
0.291667
0.635417
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
4
f5c8def9a514f38c73e138fc07a2d2a1eff2793e
223
py
Python
api/accounts/urls.py
hawzie197/pyllama
20e1fd1d6edcbb164f190684fb96fdff00f6a701
[ "BSD-3-Clause" ]
4
2019-10-21T04:27:04.000Z
2019-11-17T04:08:39.000Z
api/accounts/urls.py
hawzie197/llama-api
20e1fd1d6edcbb164f190684fb96fdff00f6a701
[ "BSD-3-Clause" ]
32
2019-10-21T01:44:57.000Z
2022-02-18T13:07:50.000Z
api/accounts/urls.py
hawzie197/llama-api
20e1fd1d6edcbb164f190684fb96fdff00f6a701
[ "BSD-3-Clause" ]
null
null
null
from django.urls import path from api.accounts.views import UserViewSet, GroupViewSet urlpatterns = [ path("users/", UserViewSet.as_view({"get": "list"})), path("groups/", GroupViewSet.as_view({"get": "list"})), ]
27.875
59
0.690583
27
223
5.62963
0.62963
0.078947
0.118421
0.171053
0
0
0
0
0
0
0
0
0.125561
223
7
60
31.857143
0.779487
0
0
0
0
0
0.121076
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
1
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
4
f5dbebac24366e4fcdc3233c1713042aad5364fa
372
py
Python
test/imported.py
jerseyshawn/cf-python-client
f59f13b723fb30a2128dd0e0f072d28c0416b054
[ "Apache-2.0" ]
null
null
null
test/imported.py
jerseyshawn/cf-python-client
f59f13b723fb30a2128dd0e0f072d28c0416b054
[ "Apache-2.0" ]
null
null
null
test/imported.py
jerseyshawn/cf-python-client
f59f13b723fb30a2128dd0e0f072d28c0416b054
[ "Apache-2.0" ]
null
null
null
import sys if sys.version_info.major == 2: from mock import patch, call, MagicMock from httplib import SEE_OTHER, CREATED, NO_CONTENT elif sys.version_info.major == 3: from unittest.mock import patch, call, MagicMock from http.client import SEE_OTHER, CREATED, NO_CONTENT else: raise ImportError('Invalid major version: %d' % sys.version_info.major)
31
75
0.747312
55
372
4.927273
0.509091
0.110701
0.154982
0.210332
0.457565
0.457565
0
0
0
0
0
0.006494
0.172043
372
12
75
31
0.873377
0
0
0
0
0
0.067024
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
4
de1e4c0ceeefabf40dbb4720316197784bb5c90a
30
py
Python
data/studio21_generated/introductory/3963/starter_code.py
vijaykumawat256/Prompt-Summarization
614f5911e2acd2933440d909de2b4f86653dc214
[ "Apache-2.0" ]
null
null
null
data/studio21_generated/introductory/3963/starter_code.py
vijaykumawat256/Prompt-Summarization
614f5911e2acd2933440d909de2b4f86653dc214
[ "Apache-2.0" ]
null
null
null
data/studio21_generated/introductory/3963/starter_code.py
vijaykumawat256/Prompt-Summarization
614f5911e2acd2933440d909de2b4f86653dc214
[ "Apache-2.0" ]
null
null
null
def amicable_numbers(n1,n2):
15
28
0.766667
5
30
4.4
1
0
0
0
0
0
0
0
0
0
0
0.074074
0.1
30
2
29
15
0.740741
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
0
0
null
null
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
4
de21d16099b68da6aa9ac816708be55e80b3443b
153
py
Python
bilangan_ganjil_genap.py
ardian-sh/menghitung-2-buah-bilangan-awal-dan-akhir-ganjil-genap
56b730428bac56572abda461ef2052414419fdea
[ "Unlicense" ]
null
null
null
bilangan_ganjil_genap.py
ardian-sh/menghitung-2-buah-bilangan-awal-dan-akhir-ganjil-genap
56b730428bac56572abda461ef2052414419fdea
[ "Unlicense" ]
null
null
null
bilangan_ganjil_genap.py
ardian-sh/menghitung-2-buah-bilangan-awal-dan-akhir-ganjil-genap
56b730428bac56572abda461ef2052414419fdea
[ "Unlicense" ]
null
null
null
even = int(input("total even number : ")) print(even, "first even number : ",end="") for i in range(2,even*2,2): print (i,end=", ") print(even*2)
30.6
43
0.594771
26
153
3.5
0.5
0.21978
0
0
0
0
0
0
0
0
0
0.032
0.183007
153
5
44
30.6
0.696
0
0
0
0
0
0.28
0
0
0
0
0
0
1
0
false
0
0
0
0
0.6
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
4
de392080af43c2b219fc46fed9183872a8165b8b
94
py
Python
Init.py
Athanaze/Battery-Pack-Workbench
d3a32281cb6f1d1c7cc8f7e2977fb6cfe77f91a8
[ "MIT" ]
2
2021-08-08T01:14:57.000Z
2022-03-14T13:14:39.000Z
Init.py
Athanaze/Battery-Pack-Workbench
d3a32281cb6f1d1c7cc8f7e2977fb6cfe77f91a8
[ "MIT" ]
1
2021-03-06T16:28:02.000Z
2021-03-06T16:50:35.000Z
Init.py
Athanaze/Battery-Pack-Workbench
d3a32281cb6f1d1c7cc8f7e2977fb6cfe77f91a8
[ "MIT" ]
null
null
null
"""FreeCAD init script of the Battery pack module""" # Not sure what I am supposed to put here
47
52
0.744681
17
94
4.117647
1
0
0
0
0
0
0
0
0
0
0
0
0.180851
94
2
53
47
0.909091
0.925532
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
4
de4876f79a2c41accf5e5f6f50dd3e40f314141d
236
py
Python
Codewars/8kyu/switch-slash-case-bug-fixing-number-6/Python/solution1.py
RevansChen/online-judge
ad1b07fee7bd3c49418becccda904e17505f3018
[ "MIT" ]
7
2017-09-20T16:40:39.000Z
2021-08-31T18:15:08.000Z
Codewars/8kyu/switch-slash-case-bug-fixing-number-6/Python/solution1.py
RevansChen/online-judge
ad1b07fee7bd3c49418becccda904e17505f3018
[ "MIT" ]
null
null
null
Codewars/8kyu/switch-slash-case-bug-fixing-number-6/Python/solution1.py
RevansChen/online-judge
ad1b07fee7bd3c49418becccda904e17505f3018
[ "MIT" ]
null
null
null
# Python - 2.7.6 eval_object = lambda v: { '+': v['a'] + v['b'], '-': v['a'] - v['b'], '/': v['a'] / v['b'], '*': v['a'] * v['b'], '%': v['a'] % v['b'], '**': v['a'] ** v['b'] }.get(v['operation'], 0)
21.454545
27
0.275424
36
236
1.777778
0.361111
0.1875
0.28125
0.375
0.375
0.375
0.375
0.375
0.375
0.375
0
0.024096
0.29661
236
10
28
23.6
0.361446
0.059322
0
0
0
0
0.127273
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
1
null
0
1
1
0
0
0
0
0
0
0
0
0
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0
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1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
4
de635a38e95fdb96849694518e4b00885211166d
77
py
Python
triad/constants.py
kvnkho/triad
371a5e84945b2203f1108598b8e67136414589a3
[ "Apache-2.0" ]
6
2020-10-04T23:01:33.000Z
2021-11-08T11:46:39.000Z
triad/constants.py
kvnkho/triad
371a5e84945b2203f1108598b8e67136414589a3
[ "Apache-2.0" ]
16
2020-09-28T21:58:08.000Z
2021-12-29T07:09:03.000Z
triad/constants.py
kvnkho/triad
371a5e84945b2203f1108598b8e67136414589a3
[ "Apache-2.0" ]
1
2020-10-10T20:36:43.000Z
2020-10-10T20:36:43.000Z
FLOAT_NAN = float("nan") FLOAT_INF = float("inf") FLOAT_NINF = float("-inf")
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de6edf5ca016fd15d62490a71860f782c37a4699
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py
Python
machine_sleeping/main.py
caveljan/machine-sleeping
eb51de96d17e94e4810da3be010a0e312a94327c
[ "MIT" ]
null
null
null
machine_sleeping/main.py
caveljan/machine-sleeping
eb51de96d17e94e4810da3be010a0e312a94327c
[ "MIT" ]
null
null
null
machine_sleeping/main.py
caveljan/machine-sleeping
eb51de96d17e94e4810da3be010a0e312a94327c
[ "MIT" ]
null
null
null
# varia class Sleep: def NREM(self): print('NREM') def REM(self): print('REM') class Awake: def act(self): print('act')
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4
de8a6f6effa70c964bad6aeb4ff32a8ea67fa1cb
60
py
Python
mocks/lms/djangoapps/teams/__init__.py
ibm-skills-network/tahoe-lti
53308c947632a63fc343e176b177145ccfaeba8b
[ "MIT" ]
4
2019-05-02T13:31:44.000Z
2021-03-12T23:02:47.000Z
mocks/lms/djangoapps/teams/__init__.py
ibm-skills-network/tahoe-lti
53308c947632a63fc343e176b177145ccfaeba8b
[ "MIT" ]
9
2019-01-29T17:44:11.000Z
2022-03-14T10:42:06.000Z
mocks/lms/djangoapps/teams/__init__.py
ibm-skills-network/tahoe-lti
53308c947632a63fc343e176b177145ccfaeba8b
[ "MIT" ]
6
2020-05-19T14:13:52.000Z
2021-10-29T19:51:45.000Z
""" Mocks for the Open edX lms.djangoapps.teams module. """
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4
de8a82ebdb68670b967e8d770b7adfb060d29b15
475
py
Python
batchflow/models/torch/blocks/__init__.py
analysiscenter/dataset
50a0607442bd2eb675c8f6a8d7bc5e9dbabe36c0
[ "Apache-2.0" ]
101
2017-06-05T07:33:54.000Z
2018-10-28T04:55:23.000Z
batchflow/models/torch/blocks/__init__.py
analysiscenter/dataset
50a0607442bd2eb675c8f6a8d7bc5e9dbabe36c0
[ "Apache-2.0" ]
23
2017-11-08T20:01:58.000Z
2018-07-15T09:08:02.000Z
batchflow/models/torch/blocks/__init__.py
analysiscenter/dataset
50a0607442bd2eb675c8f6a8d7bc5e9dbabe36c0
[ "Apache-2.0" ]
23
2017-06-06T05:13:37.000Z
2018-11-01T14:33:38.000Z
""" Blocks: large parts that implement idea/named entity from popular articles. """ from .core import Block, DefaultBlock, Downsample, Upsample from .named_blocks import VGGBlock, ResBlock, ResNeStBlock, DenseBlock, MBConvBlock, InvResBlock, ConvNeXtBlock from .attention import SEBlock, SCSEBlock, SimpleSelfAttention, BAM, CBAM, FPA, SelectiveKernelConv, SplitAttentionConv from .pyramid import PyramidPooling, ASPP, KSAC from ..layers import Combine, Branch # convenience
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dec5945f9a6ed1b9670b29f1c9bcdb9713ec434e
47
py
Python
cntapp/__init__.py
rgaudin/edupi
97a1f482bd895660dfa0a88f1c91ac86d39d31f8
[ "MIT" ]
null
null
null
cntapp/__init__.py
rgaudin/edupi
97a1f482bd895660dfa0a88f1c91ac86d39d31f8
[ "MIT" ]
null
null
null
cntapp/__init__.py
rgaudin/edupi
97a1f482bd895660dfa0a88f1c91ac86d39d31f8
[ "MIT" ]
null
null
null
default_app_config = 'cntapp.apps.CntappConfig'
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6.333333
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0
4
dee53b3c250d8c6b0a46955f69c9c5f619cb95b5
1,167
py
Python
pycatia/mec_mod_interfaces/factory.py
evereux/catia_python
08948585899b12587b0415ce3c9191a408b34897
[ "MIT" ]
90
2019-02-21T10:05:28.000Z
2022-03-19T01:53:41.000Z
pycatia/mec_mod_interfaces/factory.py
Luanee/pycatia
ea5eef8178f73de12404561c00baf7a7ca30da59
[ "MIT" ]
99
2019-05-21T08:29:12.000Z
2022-03-25T09:55:15.000Z
pycatia/mec_mod_interfaces/factory.py
Luanee/pycatia
ea5eef8178f73de12404561c00baf7a7ca30da59
[ "MIT" ]
26
2019-04-04T06:31:36.000Z
2022-03-30T07:24:47.000Z
#! usr/bin/python3.6 """ Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-06-11 12:40:47.360445 .. warning:: The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only. They are there as a guide as to how the visual basic / catscript functions work and thus help debugging in pycatia. """ from pycatia.system_interfaces.any_object import AnyObject class Factory(AnyObject): """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445) | System.IUnknown | System.IDispatch | System.CATBaseUnknown | System.CATBaseDispatch | System.AnyObject | Factory | | Abstract object gathering behaviours of all objects being a | factory. """ def __init__(self, com_object): super().__init__(com_object) self.factory = com_object def __repr__(self): return f'Factory(name="{self.name}")'
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4
7214b2ee6d5f847d40c175cd330db0ef9263718e
600
py
Python
14 - Data manipulation with Pandas/chapter 4 - Creating and Visualizing DataFrames/10 - CSV to DataFrame.py
Baidaly/datacamp-samples
09b3e253ec2c503df936298fedc3902413c987b0
[ "MIT" ]
null
null
null
14 - Data manipulation with Pandas/chapter 4 - Creating and Visualizing DataFrames/10 - CSV to DataFrame.py
Baidaly/datacamp-samples
09b3e253ec2c503df936298fedc3902413c987b0
[ "MIT" ]
null
null
null
14 - Data manipulation with Pandas/chapter 4 - Creating and Visualizing DataFrames/10 - CSV to DataFrame.py
Baidaly/datacamp-samples
09b3e253ec2c503df936298fedc3902413c987b0
[ "MIT" ]
null
null
null
''' You work for an airline, and your manager has asked you to do a competitive analysis and see how often passengers flying on other airlines are involuntarily bumped from their flights. You got a CSV file (airline_bumping.csv) from the Department of Transportation containing data on passengers that were involuntarily denied boarding in 2016 and 2017, but it doesn't have the exact numbers you want. In order to figure this out, you'll need to get the CSV into a pandas DataFrame and do some manipulation! pandas is imported for you as pd. "airline_bumping.csv" is in your working directory. '''
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4
a0f7c3f2b5a5b6e332651d38c13f85b04a4a6356
169
py
Python
PDA/extra_assignments/10.1. Dicts_ Number of occurrences/solution/main.py
EMbeDS-education/StatsAndComputing20212022
971e418882b206a1b5606d15d222cef1a5a04834
[ "MIT" ]
2
2022-02-24T09:35:15.000Z
2022-03-14T20:34:33.000Z
PDA/extra_assignments/10.1. Dicts_ Number of occurrences/solution/main.py
GeorgiosArg/StatsAndComputing20212022
798d39af6aa5ef5eef49d5d6f43191351e8a49f3
[ "MIT" ]
null
null
null
PDA/extra_assignments/10.1. Dicts_ Number of occurrences/solution/main.py
GeorgiosArg/StatsAndComputing20212022
798d39af6aa5ef5eef49d5d6f43191351e8a49f3
[ "MIT" ]
2
2022-03-15T21:40:35.000Z
2022-03-26T14:51:31.000Z
text = input().split() times_seen = {} for word in text: if word not in times_seen: times_seen[word] = 0 print(times_seen[word], end=' ') times_seen[word] += 1
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4
9d07af6c55ea5a5e36253ca85bba3d759ec14401
190
py
Python
featherhelper/__init__.py
kiwi0fruit/featherhelper
fb981a57e3a99535e3f8a51d5918687f07780f27
[ "MIT" ]
3
2019-03-12T13:41:45.000Z
2020-10-12T14:29:09.000Z
featherhelper/__init__.py
kiwi0fruit/featherhelper
fb981a57e3a99535e3f8a51d5918687f07780f27
[ "MIT" ]
null
null
null
featherhelper/__init__.py
kiwi0fruit/featherhelper
fb981a57e3a99535e3f8a51d5918687f07780f27
[ "MIT" ]
null
null
null
from ._version import get_versions __version__ = get_versions()['version'] del get_versions from .feather_helper import ( setdir, name, push, pull, FeatherHelperError as Err, exc )
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4
9d0899ecdc42e2c944158215c5c44fba2bb03b53
1,281
py
Python
server/ahj_app/migrations/0012_auto_20210701_0345.py
reepoi/ahj-registry
d4498bccfe114b19acca4f931d29f30fbc65a803
[ "MIT" ]
null
null
null
server/ahj_app/migrations/0012_auto_20210701_0345.py
reepoi/ahj-registry
d4498bccfe114b19acca4f931d29f30fbc65a803
[ "MIT" ]
null
null
null
server/ahj_app/migrations/0012_auto_20210701_0345.py
reepoi/ahj-registry
d4498bccfe114b19acca4f931d29f30fbc65a803
[ "MIT" ]
null
null
null
# Generated by Django 3.1.3 on 2021-07-01 03:45 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('ahj_app', '0011_auto_20210623_2231'), ] operations = [ migrations.RemoveField( model_name='historicaluser', name='AcceptedEdits', ), migrations.RemoveField( model_name='historicaluser', name='CommunityScore', ), migrations.RemoveField( model_name='historicaluser', name='SubmittedEdits', ), migrations.RemoveField( model_name='user', name='AcceptedEdits', ), migrations.RemoveField( model_name='user', name='CommunityScore', ), migrations.RemoveField( model_name='user', name='SubmittedEdits', ), migrations.AddField( model_name='historicaluser', name='NumAPICalls', field=models.IntegerField(db_column='NumAPICalls', default=0), ), migrations.AddField( model_name='user', name='NumAPICalls', field=models.IntegerField(db_column='NumAPICalls', default=0), ), ]
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4
9d1c91cf59d0418c4e6b5c5008cef13528dae10a
634
py
Python
Problem Solving/Python Morsels/Circle/circle.py
Lockon2000/Practice
a51cb282c727a46a41ac2ce50ea1bd4be9bb4b88
[ "MIT" ]
null
null
null
Problem Solving/Python Morsels/Circle/circle.py
Lockon2000/Practice
a51cb282c727a46a41ac2ce50ea1bd4be9bb4b88
[ "MIT" ]
null
null
null
Problem Solving/Python Morsels/Circle/circle.py
Lockon2000/Practice
a51cb282c727a46a41ac2ce50ea1bd4be9bb4b88
[ "MIT" ]
null
null
null
from math import pi class Circle: def __init__(self, radius=1): self.radius = radius @property def radius(self): return self.__radius @radius.setter def radius(self, radius): if radius < 0: raise ValueError("Radius cannot be negative") else: self.__radius = radius @property def diameter(self): return 2*self.radius @diameter.setter def diameter(self, diameter): self.radius = diameter/2 @property def area(self): return pi*self.radius**2 def __repr__(self): return f"Circle({self.radius})"
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4
9d31b6d0f8382ca3b5ba428039eac19e473bcf75
210
py
Python
demo.py
pramodsu/pyLingeling
a28b69c351ac16a27d804c7fd051cca6b7e8d1e5
[ "BSD-2-Clause" ]
3
2020-07-09T12:03:49.000Z
2021-08-16T06:46:33.000Z
demo.py
pramodsu/pyLingeling
a28b69c351ac16a27d804c7fd051cca6b7e8d1e5
[ "BSD-2-Clause" ]
null
null
null
demo.py
pramodsu/pyLingeling
a28b69c351ac16a27d804c7fd051cca6b7e8d1e5
[ "BSD-2-Clause" ]
2
2020-09-27T06:42:30.000Z
2022-03-28T18:36:11.000Z
import lingeling p = lingeling.lglinit() lingeling.lgladd(p, 1) lingeling.lgladd(p, -1) lingeling.lgladd(p, 0) lingeling.lglassume(p, -1) assert lingeling.lglsat(p) == lingeling.LGL_SATISFIABLE print("Done.")
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9d4e7525557fc7ec827b99fb8faa05b32e8716ff
489
py
Python
nitorch/metrics.py
ArneBinder/Pytorch-LRP
c17902138f1d560f1f5d38f401ac856e071a5800
[ "BSD-3-Clause" ]
117
2019-03-19T08:47:03.000Z
2022-03-31T04:14:51.000Z
nitorch/metrics.py
ArneBinder/Pytorch-LRP
c17902138f1d560f1f5d38f401ac856e071a5800
[ "BSD-3-Clause" ]
10
2019-09-15T14:59:43.000Z
2022-03-15T14:18:02.000Z
nitorch/metrics.py
ArneBinder/Pytorch-LRP
c17902138f1d560f1f5d38f401ac856e071a5800
[ "BSD-3-Clause" ]
49
2019-03-19T08:47:03.000Z
2021-11-30T01:02:04.000Z
from sklearn.metrics import recall_score, roc_curve, auc def specificity(y_true, y_pred): return recall_score(y_true, y_pred, pos_label=0) def sensitivity(y_true, y_pred): return recall_score(y_true, y_pred, pos_label=1) def balanced_accuracy(y_true, y_pred): spec = specificity(y_true, y_pred) sens = sensitivity(y_true, y_pred) return (spec + sens) / 2 def auc_score(y_true, y_pred): fpr, tpr, thresholds = roc_curve(y_true, y_pred) return auc(fpr, tpr)
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4
c2052ef489dac2cb2f931e4c84458e0f49e2d431
59
py
Python
app/config.py
ontoligent-design/polo2
cfb76218708189064c95c493b351589296de51f7
[ "MIT" ]
1
2018-07-02T13:31:44.000Z
2018-07-02T13:31:44.000Z
app/config.py
ontoligent-design/polo2
cfb76218708189064c95c493b351589296de51f7
[ "MIT" ]
null
null
null
app/config.py
ontoligent-design/polo2
cfb76218708189064c95c493b351589296de51f7
[ "MIT" ]
1
2021-06-18T16:09:18.000Z
2021-06-18T16:09:18.000Z
#PROJECTS_DIR = "/Users/rca2t1/Dropbox/CODE/polo2-test/PUB"
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c21a0bd40da517ab182f5f6d1b6d8b0f9abd3dd8
4,335
py
Python
tests/test_inbound_client.py
Otoru/Genesis
389a1e270d1ca432f11f76602fbe8491f344672f
[ "MIT" ]
5
2021-07-19T03:30:43.000Z
2022-03-10T03:03:54.000Z
tests/test_inbound_client.py
Otoru/Genesis
389a1e270d1ca432f11f76602fbe8491f344672f
[ "MIT" ]
9
2021-07-19T03:36:06.000Z
2022-03-22T15:49:35.000Z
tests/test_inbound_client.py
Otoru/Genesis
389a1e270d1ca432f11f76602fbe8491f344672f
[ "MIT" ]
null
null
null
import pytest import asyncio from textwrap import dedent from genesis.exceptions import AuthenticationError from genesis import Client from environment import Freeswitch, Callback, EVENTS @pytest.mark.asyncio async def test_connect_without_freeswitch(): with pytest.raises(ConnectionRefusedError): async with Client("0.0.0.0", 8021, "ClueCon"): await asyncio.sleep(1) @pytest.mark.asyncio async def test_connect_with_freesswitch(): async with Freeswitch("0.0.0.0", 8021, "ClueCon"): async with Client("0.0.0.0", 8021, "ClueCon") as client: response = await client.send("uptime") message = "The answer is not what we expected" assert response["Reply-Text"] == "6943047", message @pytest.mark.asyncio async def test_connect_without_freeswitch_and_wrong_password(): with pytest.raises(AuthenticationError): async with Freeswitch("0.0.0.0", 8021, "ClueCon"): async with Client("0.0.0.0", 8021, "WrongPassword"): await asyncio.sleep(1) @pytest.mark.asyncio async def test_send_api_command(): async with Freeswitch("0.0.0.0", 8021, "ClueCon"): async with Client("0.0.0.0", 8021, "ClueCon") as client: response = await client.send("api console loglevel") message = "The answer is not what we expected" expected = "+OK console log level set to DEBUG" assert response["X-API-Reply-Text"] == expected, message @pytest.mark.asyncio async def test_send_api_command_with_large_reponse(): async with Freeswitch("0.0.0.0", 8021, "ClueCon"): async with Client("0.0.0.0", 8021, "ClueCon") as client: response = await client.send("api status") message = "The answer is not what we expected" expected = """UP 0 years, 80 days, 8 hours, 25 minutes, 5 seconds, 869 milliseconds, 87 microseconds FreeSWITCH (Version 1.10.3-release git e52b1a8 2020-09-09 12:16:24Z 64bit) is ready 7653 session(s) since startup 0 session(s) - peak 2, last 5min 0 0 session(s) per Sec out of max 30, peak 14, last 5min 0 1000 session(s) max min idle cpu 0.00/99.00 Current Stack Size/Max 240K/8192K""" assert response["X-API-Reply-Text"] == expected, message @pytest.mark.asyncio async def test_event_handler_on_client(): handler = Callback() assert not handler.is_called, "Control started with wrong value" events = [EVENTS["HEARTBEAT"]] async with Freeswitch("0.0.0.0", 8021, "ClueCon", events): async with Client("0.0.0.0", 8021, "ClueCon") as client: client.on("HEARTBEAT", handler) await asyncio.sleep(0.001) assert handler.is_called, "Event processing did not activate handler" @pytest.mark.asyncio async def test_wildcard_handler_on_client(): handler = Callback() assert not handler.is_called, "Control started with wrong value" events = [EVENTS["HEARTBEAT"]] async with Freeswitch("0.0.0.0", 8021, "ClueCon", events): async with Client("0.0.0.0", 8021, "ClueCon") as client: client.on("*", handler) await asyncio.sleep(0.001) assert handler.is_called, "Event processing did not activate handler" @pytest.mark.asyncio async def test_event_handler_not_is_called_with_wrong_event(): handler = Callback() assert not handler.is_called, "Control started with wrong value" events = [EVENTS["HEARTBEAT"]] async with Freeswitch("0.0.0.0", 8021, "ClueCon", events): async with Client("0.0.0.0", 8021, "ClueCon") as client: client.on("MESSAGE", handler) await asyncio.sleep(0.001) assert not handler.is_called, "Event processing did not activate handler" @pytest.mark.asyncio async def test_event_handler_is_called_with_all_events(): handler = Callback() assert not handler.is_called, "Control started with wrong value" events = [ EVENTS["MESSAGE"], EVENTS["MESSAGE"], EVENTS["MESSAGE"], EVENTS["MESSAGE"], ] async with Freeswitch("0.0.0.0", 8021, "ClueCon", events): async with Client("0.0.0.0", 8021, "ClueCon") as client: client.on("MESSAGE", handler) await asyncio.sleep(0.001) assert not handler.count == len(events), "Event processing did not activate handler"
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4
c226d0fb0b375ee06a4b7051d4b0626cda7e3ec0
160
py
Python
src/retrieval/retrieval_method.py
RahulRoyMattam/fever-baselines
8977ffd939dbdb17bf4f190d45f11dabb7755668
[ "Apache-2.0" ]
71
2019-01-11T21:07:32.000Z
2021-07-10T17:59:33.000Z
src/retrieval/retrieval_method.py
RahulRoyMattam/fever-baselines
8977ffd939dbdb17bf4f190d45f11dabb7755668
[ "Apache-2.0" ]
16
2018-04-10T16:00:49.000Z
2018-06-28T07:41:08.000Z
src/retrieval/retrieval_method.py
mithunpaul08/fever-baselines
7b2a8f9f9b599e5a00e503db06400fca655ad106
[ "Apache-2.0" ]
21
2019-01-31T09:05:30.000Z
2021-05-26T10:37:13.000Z
class RetrievalMethod(): def __init__(self,db): self.db = db def get_sentences_for_claim(self,claim_text,include_text=False): pass
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4
c22a519a8aa5cfda4ea538b1a2f6e273ac094734
168
py
Python
mmrotate/core/visualization/__init__.py
liuyanyi/mmrotate
d80310aa2c4a67c877c62432cddee246d2a4dbcd
[ "Apache-2.0" ]
449
2022-02-18T08:26:58.000Z
2022-03-31T11:58:32.000Z
mmrotate/core/visualization/__init__.py
liuyanyi/mmrotate
d80310aa2c4a67c877c62432cddee246d2a4dbcd
[ "Apache-2.0" ]
162
2022-02-18T09:54:46.000Z
2022-03-31T15:40:46.000Z
mmrotate/core/visualization/__init__.py
liuyanyi/mmrotate
d80310aa2c4a67c877c62432cddee246d2a4dbcd
[ "Apache-2.0" ]
98
2022-02-18T08:28:48.000Z
2022-03-31T08:52:11.000Z
# Copyright (c) OpenMMLab. All rights reserved. from .image import imshow_det_rbboxes from .palette import get_palette __all__ = ['imshow_det_rbboxes', 'get_palette']
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5.347826
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c24dc5178d821ec2ce41b09336be1b6880117e86
663
py
Python
robots/catkin_ws/build/lilistbot/cmake/lilistbot-genmsg-context.py
sunzhon/Lilibot
8fc9e5e0beea87bd25743a9c28f9419dbbc7479c
[ "BSD-3-Clause" ]
3
2020-12-06T08:46:45.000Z
2021-07-28T13:28:53.000Z
robots/catkin_ws/build/lilistbot/cmake/lilistbot-genmsg-context.py
sunzhon/Lilibot
8fc9e5e0beea87bd25743a9c28f9419dbbc7479c
[ "BSD-3-Clause" ]
1
2020-10-03T07:25:14.000Z
2020-10-03T07:25:14.000Z
robots/catkin_ws/build/lilistbot/cmake/lilistbot-genmsg-context.py
sunzhon/Lilibot
8fc9e5e0beea87bd25743a9c28f9419dbbc7479c
[ "BSD-3-Clause" ]
1
2021-07-21T07:45:51.000Z
2021-07-21T07:45:51.000Z
# generated from genmsg/cmake/pkg-genmsg.context.in messages_str = "/home/suntao/workspace/gorobots/utils/real_robots/stbot/catkin_ws/src/lilistbot/msg/Jy901imu.msg" services_str = "" pkg_name = "lilistbot" dependencies_str = "std_msgs" langs = "gencpp;geneus;genlisp;gennodejs;genpy" dep_include_paths_str = "lilistbot;/home/suntao/workspace/gorobots/utils/real_robots/stbot/catkin_ws/src/lilistbot/msg;std_msgs;/opt/ros/kinetic/share/std_msgs/cmake/../msg" PYTHON_EXECUTABLE = "/home/suntao/.pyenv/shims/python" package_has_static_sources = '' == 'TRUE' genmsg_check_deps_script = "/opt/ros/kinetic/share/genmsg/cmake/../../../lib/genmsg/genmsg_check_deps.py"
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4
dfaec5e7b55b1c59719e1279741eb6567b4536cf
230
py
Python
200116/Python/solution.py
ktaletsk/daily-problem
62ea445d499b8c5211eba635373102627e1d2710
[ "MIT" ]
1
2020-01-20T20:31:44.000Z
2020-01-20T20:31:44.000Z
200116/Python/solution.py
ktaletsk/daily-problem
62ea445d499b8c5211eba635373102627e1d2710
[ "MIT" ]
null
null
null
200116/Python/solution.py
ktaletsk/daily-problem
62ea445d499b8c5211eba635373102627e1d2710
[ "MIT" ]
null
null
null
class Solution(object): def findDisappearedNumbers(self, nums): return list(set(range(1,len(nums)+1)) - set(nums)) nums = [4, 6, 2, 6, 7, 2, 1] def test(): assert Solution().findDisappearedNumbers(nums) == [3, 5]
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4
dfb51ebd6774a36e8e4a139b511244c188fae903
89
py
Python
bedrift/apps.py
kristoea/daljeweb
cfbce1d1c023c5d91c3e06ee7c92d8ac2831795a
[ "MIT" ]
null
null
null
bedrift/apps.py
kristoea/daljeweb
cfbce1d1c023c5d91c3e06ee7c92d8ac2831795a
[ "MIT" ]
null
null
null
bedrift/apps.py
kristoea/daljeweb
cfbce1d1c023c5d91c3e06ee7c92d8ac2831795a
[ "MIT" ]
null
null
null
from django.apps import AppConfig class BedriftConfig(AppConfig): name = 'bedrift'
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dfc98edb7bbf5097bb833e1cad985ced48dd17a7
193
py
Python
tasks/admin.py
wdy-exceedteam/celery-tasks
3a66ac6a391286dfe6aba223b11d649f3bbe8bcc
[ "MIT" ]
null
null
null
tasks/admin.py
wdy-exceedteam/celery-tasks
3a66ac6a391286dfe6aba223b11d649f3bbe8bcc
[ "MIT" ]
null
null
null
tasks/admin.py
wdy-exceedteam/celery-tasks
3a66ac6a391286dfe6aba223b11d649f3bbe8bcc
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import Task @admin.register(Task) class TaskAdmin(admin.ModelAdmin): list_display = ('id', 'name', 'status_task', 'author', 'created_date')
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