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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
03da40ca52b18498d3bb6d386faee2f3052292fa | 20,665 | py | Python | flask_user/forms.py | brunoresende1991/mult | e62e949a021db92ca74a9023423724ab26b583d7 | [
"BSD-2-Clause"
] | 5 | 2019-07-09T13:48:18.000Z | 2021-05-04T19:19:25.000Z | flask_user/forms.py | brunoresende1991/mult | e62e949a021db92ca74a9023423724ab26b583d7 | [
"BSD-2-Clause"
] | null | null | null | flask_user/forms.py | brunoresende1991/mult | e62e949a021db92ca74a9023423724ab26b583d7 | [
"BSD-2-Clause"
] | 2 | 2020-07-10T15:06:05.000Z | 2020-09-08T15:52:51.000Z | """ This file defines and validates Flask-User forms. Forms are
based on the WTForms module.
:copyright: (c) 2013 by Ling Thio
:author: Ling Thio (ling.thio@gmail.com)
:license: Simplified BSD License, see LICENSE.txt for more details."""
import string
from flask import current_app
from flask_login import current_user
# Flask-WTF v0.13 renamed Flask to FlaskForm
try:
from flask_wtf import FlaskForm # Try Flask-WTF v0.13+
except ImportError:
from flask_wtf import Form as FlaskForm # Fallback to Flask-WTF v0.12 or older # noqa
from wtforms import BooleanField, HiddenField, PasswordField, SubmitField
from wtforms import validators, ValidationError, StringField
from .translations import lazy_gettext as _
# **************************
# ** Validation Functions **
# **************************
def password_validator(form, field):
""" Password must have one lowercase letter,
one uppercase letter and one digit. """
# Convert string to list of characters
password = list(field.data)
password_length = len(password)
# Count lowercase, uppercase and numbers
lowers = uppers = digits = 0
for ch in password:
if ch.islower():
lowers += 1
if ch.isupper():
uppers += 1
if ch.isdigit():
digits += 1
# Password must have one lowercase letter,
# one uppercase letter and one digit
is_valid = password_length >= 6 and lowers and uppers and digits
if not is_valid:
raise ValidationError(_('Password must have at least 6 characters'
' with one lowercase letter, one uppercase'
' letter and one number'))
def theme_validator(form, field):
theme = field.data
if theme not in ['red', 'blue', 'green']:
raise ValidationError(_("Theme must be red, blue or green. "
"Please choose one of these."))
def username_validator(form, field):
""" Username must cont at least 3 alphanumeric characters long"""
username = field.data
if len(username) < 3:
raise ValidationError(_('Username must be at least 3 characters long'))
valid_chars = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._' # noqa
chars = list(username)
for char in chars:
if char not in valid_chars:
raise ValidationError(_("Username may only contain letters, "
"numbers, '-', '.' and '_'"))
def unique_username_validator(form, field):
""" Username must be unique"""
user_manager = current_app.user_manager
if not user_manager.username_is_available(field.data):
raise ValidationError(_('This Username is already in use. '
'Please try another one.'))
def unique_tenant_validator(form, field):
""" Tenant must be unique"""
user_manager = current_app.user_manager
if not user_manager.tenant_is_available(field.data):
raise ValidationError(_('This Tenant is already in use.'
' Please try another one.'))
def unique_email_validator(form, field):
""" Username must be unique"""
user_manager = current_app.user_manager
if not user_manager.email_is_available(field.data):
raise ValidationError(_('This Email is already in use. '
'Please try another one.'))
# ***********
# ** Forms **
# ***********
class AddEmailForm(FlaskForm):
email = StringField(_('Email'), validators=[
validators.DataRequired(_('Email is required')),
validators.Email(_('Invalid Email')),
unique_email_validator])
submit = SubmitField(_('Add Email'))
class ChangePasswordForm(FlaskForm):
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
new_password = PasswordField(_('New Password'), validators=[
validators.DataRequired(_('New Password is required')),
])
retype_password = PasswordField(_('Retype New Password'), validators=[
validators.EqualTo('new_password', message=_('New Password and Retype '
'Password did not match'))
])
next = HiddenField()
submit = SubmitField(_('Change password'))
def validate(self):
# Use feature config to remove unused form fields
user_manager = current_app.user_manager
if not user_manager.enable_retype_password:
delattr(self, 'retype_password')
# Add custom password validator if needed
has_been_added = False
for v in self.new_password.validators:
if v == user_manager.password_validator:
has_been_added = True
if not has_been_added:
self.new_password.validators.append(
user_manager.password_validator)
# Validate field-validators
if not super(ChangePasswordForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class ChangeThemeForm(FlaskForm):
new_theme = StringField(_('New Theme'), validators=[
validators.DataRequired(_('Theme is required')),
theme_validator,
])
old_tenant = StringField(_('Old Tenant'), validators=[
validators.DataRequired(_('Tenant is required')),
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Change theme'))
def validate(self):
user_manager = current_app.user_manager
# Validate field-validators
if not super(ChangeThemeForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class AddTenantForm(FlaskForm):
new_tenant = StringField(_('New Tenant'), validators=[
validators.DataRequired(_('Tenant is required')),
unique_tenant_validator,
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Add tenant'))
def validate(self):
user_manager = current_app.user_manager
# Validate field-validators
if not super(AddTenantForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class EditTenantForm(FlaskForm):
old_tenant = StringField(_('Old Tenant'), validators=[
validators.DataRequired(_('Tenant is required')),
])
new_alias = StringField(_('New Alias'), validators=[
validators.DataRequired(_('Alias is required')),
unique_tenant_validator,
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Edit tenant'))
def validate(self):
user_manager = current_app.user_manager
# Validate field-validators
if not super(EditTenantForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class AddTenantUserForm(FlaskForm):
old_tenant = StringField(_('Old Tenant'), validators=[
validators.DataRequired(_('Tenant is required')),
])
new_user = StringField(_('New User'), validators=[
validators.DataRequired(_('User is required')),
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Add tenant user'))
def validate(self):
user_manager = current_app.user_manager
# Validate field-validators
if not super(AddTenantUserForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class RemoveTenantUserForm(FlaskForm):
old_tenant = StringField(_('Old Tenant'), validators=[
validators.DataRequired(_('Tenant is required')),
])
old_user = StringField(_('Old User'), validators=[
validators.DataRequired(_('User is required')),
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Remove tenant user'))
def validate(self):
user_manager = current_app.user_manager
# Validate field-validators
if not super(RemoveTenantUserForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class DeleteTenantForm(FlaskForm):
old_tenant = StringField(_('Old Tenant'), validators=[
validators.DataRequired(_('Tenant is required')),
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Delete tenant'))
def validate(self):
user_manager = current_app.user_manager
# Validate field-validators
if not super(DeleteTenantForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class ChangeUsernameForm(FlaskForm):
new_username = StringField(_('New Username'), validators=[
validators.DataRequired(_('Username is required')),
unique_username_validator,
])
old_password = PasswordField(_('Old Password'), validators=[
validators.DataRequired(_('Old Password is required')),
])
next = HiddenField()
submit = SubmitField(_('Change username'))
def validate(self):
user_manager = current_app.user_manager
# Add custom username validator if needed
has_been_added = False
for v in self.new_username.validators:
if v == user_manager.username_validator:
has_been_added = True
if not has_been_added:
self.new_username.validators.append(
user_manager.username_validator)
# Validate field-validators
if not super(ChangeUsernameForm, self).validate():
return False
# Verify current_user and current_password
if not current_user or not user_manager.verify_password(
self.old_password.data, current_user):
self.old_password.errors.append(_('Old Password is incorrect'))
return False
# All is well
return True
class ForgotPasswordForm(FlaskForm):
email = StringField(_('Your email address'), validators=[
validators.DataRequired(_('Email address is required')),
validators.Email(_('Invalid Email address')),
])
submit = SubmitField(_('Send reset password email'))
def validate_email(form, field):
user_manager = current_app.user_manager
if user_manager.show_username_email_does_not_exist:
user, user_email = user_manager.find_user_by_email(field.data)
if not user:
raise ValidationError(_('%(username_or_email)s does not exist',
username_or_email=_('Email')))
class LoginForm(FlaskForm):
next = HiddenField() # for login.html
reg_next = HiddenField() # for login_or_register.html
username = StringField(_('Username'), validators=[
validators.DataRequired(_('Username is required')),
])
email = StringField(_('Email'), validators=[
validators.DataRequired(_('Email is required')),
validators.Email(_('Invalid Email'))
])
password = PasswordField(_('Password'), validators=[
validators.DataRequired(_('Password is required')),
])
remember_me = BooleanField(_('Remember me'))
submit = SubmitField(_('Sign in'))
def __init__(self, *args, **kwargs):
super(LoginForm, self).__init__(*args, **kwargs)
user_manager = current_app.user_manager
if user_manager.enable_username and user_manager.enable_email:
# Renamed 'Username' label to 'Username or Email'
self.username.label.text = _('Username or Email')
def validate(self):
# Remove fields depending on configuration
user_manager = current_app.user_manager
if user_manager.enable_username:
delattr(self, 'email')
else:
delattr(self, 'username')
# Validate field-validators
if not super(LoginForm, self).validate():
return False
# Find user by username and/or email
user = None
user_email = None
if user_manager.enable_username:
# Find user by username
user = user_manager.find_user_by_username(self.username.data)
# Find user by email address (username field)
if not user and user_manager.enable_email:
user, user_email = user_manager.find_user_by_email(
self.username.data)
else:
# Find user by email address (email field)
user, user_email = user_manager.find_user_by_email(self.email.data)
# Handle successful authentication
if user and user_manager.get_password(user) and \
user_manager.verify_password(self.password.data, user):
return True # Successful authentication
# Handle unsuccessful authentication
# Email, Username or Email/Username depending on settings
if user_manager.enable_username and user_manager.enable_email:
username_or_email_field = self.username
username_or_email_text = (_('Username/Email'))
elif user_manager.enable_username:
username_or_email_field = self.username
username_or_email_text = (_('Username'))
else:
username_or_email_field = self.email
username_or_email_text = (_('Email'))
# Show 'username/email does not exist error message
if user_manager.show_username_email_does_not_exist:
if not user:
message = _('%(username_or_email)s does not exist',
username_or_email=username_or_email_text)
username_or_email_field.errors.append(message)
else:
self.password.errors.append(_('Incorrect Password'))
# Hide 'username/email does not exist error message for additional security # noqa
else:
message = _('Incorrect %(username_or_email)s and/or Password',
username_or_email=username_or_email_text)
username_or_email_field.errors.append(message)
self.password.errors.append(message)
return False # Unsuccessful authentication
class RegisterForm(FlaskForm):
password_validator_added = False
next = HiddenField() # for login_or_register.html
reg_next = HiddenField() # for register.html
username = StringField(_('Username'), validators=[
validators.DataRequired(_('Username is required')),
unique_username_validator])
email = StringField(_('Email'), validators=[
validators.DataRequired(_('Email is required')),
validators.Email(_('Invalid Email')),
unique_email_validator])
password = PasswordField(_('Password'), validators=[
validators.DataRequired(_('Password is required'))])
retype_password = PasswordField(_('Retype Password'), validators=[
validators.EqualTo('password', message=_(
'Password and Retype Password did not match'))])
invite_token = HiddenField(_('Token'))
submit = SubmitField(_('Register'))
def validate(self):
# remove certain form fields depending on user manager config
user_manager = current_app.user_manager
if not user_manager.enable_username:
delattr(self, 'username')
if not user_manager.enable_email:
delattr(self, 'email')
if not user_manager.enable_retype_password:
delattr(self, 'retype_password')
# Add custom username validator if needed
if user_manager.enable_username:
has_been_added = False
for v in self.username.validators:
if v == user_manager.username_validator:
has_been_added = True
if not has_been_added:
self.username.validators.append(
user_manager.username_validator)
# Add custom password validator if needed
has_been_added = False
for v in self.password.validators:
if v == user_manager.password_validator:
has_been_added = True
if not has_been_added:
self.password.validators.append(user_manager.password_validator)
# Validate field-validators
if not super(RegisterForm, self).validate():
return False
# All is well
return True
class ResendConfirmEmailForm(FlaskForm):
email = StringField(_('Your email address'), validators=[
validators.DataRequired(_('Email address is required')),
validators.Email(_('Invalid Email address')),
])
submit = SubmitField(_('Resend email confirmation email'))
class ResetPasswordForm(FlaskForm):
new_password = PasswordField(_('New Password'), validators=[
validators.DataRequired(_('New Password is required'))])
retype_password = PasswordField(_('Retype New Password'), validators=[
validators.EqualTo('new_password', message=_(
'New Password and Retype Password did not match'))])
next = HiddenField()
submit = SubmitField(_('Change password'))
def validate(self):
# Use feature config to remove unused form fields
user_manager = current_app.user_manager
if not user_manager.enable_retype_password:
delattr(self, 'retype_password')
# Add custom password validator if needed
has_been_added = False
for v in self.new_password.validators:
if v == user_manager.password_validator:
has_been_added = True
if not has_been_added:
self.new_password.validators.append(
user_manager.password_validator)
# Validate field-validators
if not super(ResetPasswordForm, self).validate():
return False
# All is well
return True
class InviteForm(FlaskForm):
email = StringField(_('Email'), validators=[
validators.DataRequired(_('Email is required')),
validators.Email(_('Invalid Email'))])
next = HiddenField()
submit = SubmitField(_('Invite!'))
| 36.127622 | 93 | 0.641519 | 2,198 | 20,665 | 5.810282 | 0.105096 | 0.065461 | 0.077676 | 0.02631 | 0.723827 | 0.702607 | 0.690471 | 0.64991 | 0.641923 | 0.613734 | 0 | 0.002108 | 0.265376 | 20,665 | 571 | 94 | 36.190893 | 0.839141 | 0.123349 | 0 | 0.621827 | 0 | 0 | 0.136066 | 0.007109 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048223 | false | 0.241117 | 0.022843 | 0 | 0.35533 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
03dc45f941533f8e081a0dc457d1fac3c8825c6f | 133 | py | Python | kattis/lastfactorialdigit.py | anouard24/problem-solving | 8f3e3551bf9080f8e7305a09519fe7c638c42021 | [
"MIT"
] | null | null | null | kattis/lastfactorialdigit.py | anouard24/problem-solving | 8f3e3551bf9080f8e7305a09519fe7c638c42021 | [
"MIT"
] | null | null | null | kattis/lastfactorialdigit.py | anouard24/problem-solving | 8f3e3551bf9080f8e7305a09519fe7c638c42021 | [
"MIT"
] | null | null | null | f = [1, 1, 2, 6, 4]
for _ in range(int(input())):
n = int(input())
if n <= 4:
print(f[n])
else:
print(0)
| 16.625 | 29 | 0.413534 | 23 | 133 | 2.347826 | 0.652174 | 0.296296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0.368421 | 133 | 7 | 30 | 19 | 0.559524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.285714 | 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 | 0 | 0 | 3 |
03ef31eb9736d7447fb9fb3179dd511da5a1fc2c | 21,543 | py | Python | pysnmp-with-texts/AGENTX-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/AGENTX-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/AGENTX-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module AGENTX-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/AGENTX-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:15:42 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ValueSizeConstraint, SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ConstraintsUnion")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
ModuleCompliance, NotificationGroup, ObjectGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup", "ObjectGroup")
Counter64, mib_2, NotificationType, Bits, iso, Unsigned32, MibIdentifier, TimeTicks, ObjectIdentity, Integer32, ModuleIdentity, Gauge32, IpAddress, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "Counter64", "mib-2", "NotificationType", "Bits", "iso", "Unsigned32", "MibIdentifier", "TimeTicks", "ObjectIdentity", "Integer32", "ModuleIdentity", "Gauge32", "IpAddress", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn")
TimeStamp, DisplayString, TextualConvention, TDomain, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "TimeStamp", "DisplayString", "TextualConvention", "TDomain", "TruthValue")
agentxMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 74))
agentxMIB.setRevisions(('2000-01-10 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: agentxMIB.setRevisionsDescriptions(('Initial version published as RFC 2742.',))
if mibBuilder.loadTexts: agentxMIB.setLastUpdated('200001100000Z')
if mibBuilder.loadTexts: agentxMIB.setOrganization('AgentX Working Group')
if mibBuilder.loadTexts: agentxMIB.setContactInfo('WG-email: agentx@dorothy.bmc.com Subscribe: agentx-request@dorothy.bmc.com WG-email Archive: ftp://ftp.peer.com/pub/agentx/archives FTP repository: ftp://ftp.peer.com/pub/agentx http://www.ietf.org/html.charters/agentx-charter.html Chair: Bob Natale ACE*COMM Corporation Email: bnatale@acecomm.com WG editor: Mark Ellison Ellison Software Consulting, Inc. Email: ellison@world.std.com Co-author: Lauren Heintz Cisco Systems, EMail: lheintz@cisco.com Co-author: Smitha Gudur Independent Consultant Email: sgudur@hotmail.com ')
if mibBuilder.loadTexts: agentxMIB.setDescription('This is the MIB module for the SNMP Agent Extensibility Protocol (AgentX). This MIB module will be implemented by the master agent. ')
class AgentxTAddress(TextualConvention, OctetString):
description = 'Denotes a transport service address. This is identical to the TAddress textual convention (SNMPv2-SMI) except that zero-length values are permitted. '
status = 'current'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 255)
agentxObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 1))
agentxGeneral = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 1, 1))
agentxConnection = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 1, 2))
agentxSession = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 1, 3))
agentxRegistration = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 1, 4))
agentxDefaultTimeout = MibScalar((1, 3, 6, 1, 2, 1, 74, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255)).clone(5)).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxDefaultTimeout.setStatus('current')
if mibBuilder.loadTexts: agentxDefaultTimeout.setDescription('The default length of time, in seconds, that the master agent should allow to elapse after dispatching a message to a session before it regards the subagent as not responding. This is a system-wide value that may override the timeout value associated with a particular session (agentxSessionTimeout) or a particular registered MIB region (agentxRegTimeout). If the associated value of agentxSessionTimeout and agentxRegTimeout are zero, or impractical in accordance with implementation-specific procedure of the master agent, the value represented by this object will be the effective timeout value for the master agent to await a response to a dispatch from a given subagent. ')
agentxMasterAgentXVer = MibScalar((1, 3, 6, 1, 2, 1, 74, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxMasterAgentXVer.setStatus('current')
if mibBuilder.loadTexts: agentxMasterAgentXVer.setDescription('The AgentX protocol version supported by this master agent. The current protocol version is 1. Note that the master agent must also allow interaction with earlier version subagents. ')
agentxConnTableLastChange = MibScalar((1, 3, 6, 1, 2, 1, 74, 1, 2, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxConnTableLastChange.setStatus('current')
if mibBuilder.loadTexts: agentxConnTableLastChange.setDescription('The value of sysUpTime when the last row creation or deletion occurred in the agentxConnectionTable. ')
agentxConnectionTable = MibTable((1, 3, 6, 1, 2, 1, 74, 1, 2, 2), )
if mibBuilder.loadTexts: agentxConnectionTable.setStatus('current')
if mibBuilder.loadTexts: agentxConnectionTable.setDescription('The agentxConnectionTable tracks all current AgentX transport connections. There may be zero, one, or more AgentX sessions carried on a given AgentX connection. ')
agentxConnectionEntry = MibTableRow((1, 3, 6, 1, 2, 1, 74, 1, 2, 2, 1), ).setIndexNames((0, "AGENTX-MIB", "agentxConnIndex"))
if mibBuilder.loadTexts: agentxConnectionEntry.setStatus('current')
if mibBuilder.loadTexts: agentxConnectionEntry.setDescription('An agentxConnectionEntry contains information describing a single AgentX transport connection. A connection may be used to support zero or more AgentX sessions. An entry is created when a new transport connection is established, and is destroyed when the transport connection is terminated. ')
agentxConnIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 2, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295)))
if mibBuilder.loadTexts: agentxConnIndex.setStatus('current')
if mibBuilder.loadTexts: agentxConnIndex.setDescription('agentxConnIndex contains the value that uniquely identifies an open transport connection used by this master agent to provide AgentX service. Values of this index should not be re-used. The value assigned to a given transport connection is constant for the lifetime of that connection. ')
agentxConnOpenTime = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 2, 2, 1, 2), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxConnOpenTime.setStatus('current')
if mibBuilder.loadTexts: agentxConnOpenTime.setDescription('The value of sysUpTime when this connection was established and, therefore, its value when this entry was added to the table. ')
agentxConnTransportDomain = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 2, 2, 1, 3), TDomain()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxConnTransportDomain.setStatus('current')
if mibBuilder.loadTexts: agentxConnTransportDomain.setDescription('The transport protocol in use for this connection to the subagent. ')
agentxConnTransportAddress = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 2, 2, 1, 4), AgentxTAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxConnTransportAddress.setStatus('current')
if mibBuilder.loadTexts: agentxConnTransportAddress.setDescription('The transport address of the remote (subagent) end of this connection to the master agent. This object may be zero-length for unix-domain sockets (and possibly other types of transport addresses) since the subagent need not bind a filename to its local socket. ')
agentxSessionTableLastChange = MibScalar((1, 3, 6, 1, 2, 1, 74, 1, 3, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxSessionTableLastChange.setStatus('current')
if mibBuilder.loadTexts: agentxSessionTableLastChange.setDescription('The value of sysUpTime when the last row creation or deletion occurred in the agentxSessionTable. ')
agentxSessionTable = MibTable((1, 3, 6, 1, 2, 1, 74, 1, 3, 2), )
if mibBuilder.loadTexts: agentxSessionTable.setStatus('current')
if mibBuilder.loadTexts: agentxSessionTable.setDescription('A table of AgentX subagent sessions currently in effect. ')
agentxSessionEntry = MibTableRow((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1), ).setIndexNames((0, "AGENTX-MIB", "agentxConnIndex"), (0, "AGENTX-MIB", "agentxSessionIndex"))
if mibBuilder.loadTexts: agentxSessionEntry.setStatus('current')
if mibBuilder.loadTexts: agentxSessionEntry.setDescription('Information about a single open session between the AgentX master agent and a subagent is contained in this entry. An entry is created when a new session is successfully established and is destroyed either when the subagent transport connection has terminated or when the subagent session is closed. ')
agentxSessionIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 4294967295)))
if mibBuilder.loadTexts: agentxSessionIndex.setStatus('current')
if mibBuilder.loadTexts: agentxSessionIndex.setDescription("A unique index for the subagent session. It is the same as h.sessionID defined in the agentx header. Note that if a subagent's session with the master agent is closed for any reason its index should not be re-used. A value of zero(0) is specifically allowed in order to be compatible with the definition of h.sessionId. ")
agentxSessionObjectID = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 2), ObjectIdentifier()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxSessionObjectID.setStatus('current')
if mibBuilder.loadTexts: agentxSessionObjectID.setDescription("This is taken from the o.id field of the agentx-Open-PDU. This attribute will report a value of '0.0' for subagents not supporting the notion of an AgentX session object identifier. ")
agentxSessionDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 3), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxSessionDescr.setStatus('current')
if mibBuilder.loadTexts: agentxSessionDescr.setDescription('A textual description of the session. This is analogous to sysDescr defined in the SNMPv2-MIB in RFC 1907 [19] and is taken from the o.descr field of the agentx-Open-PDU. This attribute will report a zero-length string value for subagents not supporting the notion of a session description. ')
agentxSessionAdminStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("up", 1), ("down", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentxSessionAdminStatus.setStatus('current')
if mibBuilder.loadTexts: agentxSessionAdminStatus.setDescription("The administrative (desired) status of the session. Setting the value to 'down(2)' closes the subagent session (with c.reason set to 'reasonByManager'). ")
agentxSessionOpenTime = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 5), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxSessionOpenTime.setStatus('current')
if mibBuilder.loadTexts: agentxSessionOpenTime.setDescription('The value of sysUpTime when this session was opened and, therefore, its value when this entry was added to the table. ')
agentxSessionAgentXVer = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxSessionAgentXVer.setStatus('current')
if mibBuilder.loadTexts: agentxSessionAgentXVer.setDescription('The version of the AgentX protocol supported by the session. This must be less than or equal to the value of agentxMasterAgentXVer. ')
agentxSessionTimeout = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 3, 2, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxSessionTimeout.setStatus('current')
if mibBuilder.loadTexts: agentxSessionTimeout.setDescription("The length of time, in seconds, that a master agent should allow to elapse after dispatching a message to this session before it regards the subagent as not responding. This value is taken from the o.timeout field of the agentx-Open-PDU. This is a session-specific value that may be overridden by values associated with the specific registered MIB regions (see agentxRegTimeout). A value of zero(0) indicates that the master agent's default timeout value should be used (see agentxDefaultTimeout). ")
agentxRegistrationTableLastChange = MibScalar((1, 3, 6, 1, 2, 1, 74, 1, 4, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegistrationTableLastChange.setStatus('current')
if mibBuilder.loadTexts: agentxRegistrationTableLastChange.setDescription('The value of sysUpTime when the last row creation or deletion occurred in the agentxRegistrationTable. ')
agentxRegistrationTable = MibTable((1, 3, 6, 1, 2, 1, 74, 1, 4, 2), )
if mibBuilder.loadTexts: agentxRegistrationTable.setStatus('current')
if mibBuilder.loadTexts: agentxRegistrationTable.setDescription('A table of registered regions. ')
agentxRegistrationEntry = MibTableRow((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1), ).setIndexNames((0, "AGENTX-MIB", "agentxConnIndex"), (0, "AGENTX-MIB", "agentxSessionIndex"), (0, "AGENTX-MIB", "agentxRegIndex"))
if mibBuilder.loadTexts: agentxRegistrationEntry.setStatus('current')
if mibBuilder.loadTexts: agentxRegistrationEntry.setDescription('Contains information for a single registered region. An entry is created when a session successfully registers a region and is destroyed for any of three reasons: this region is unregistered by the session, the session is closed, or the subagent connection is closed. ')
agentxRegIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295)))
if mibBuilder.loadTexts: agentxRegIndex.setStatus('current')
if mibBuilder.loadTexts: agentxRegIndex.setDescription('agentxRegIndex uniquely identifies a registration entry. This value is constant for the lifetime of an entry. ')
agentxRegContext = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 2), OctetString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegContext.setStatus('current')
if mibBuilder.loadTexts: agentxRegContext.setDescription('The context in which the session supports the objects in this region. A zero-length context indicates the default context. ')
agentxRegStart = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 3), ObjectIdentifier()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegStart.setStatus('current')
if mibBuilder.loadTexts: agentxRegStart.setDescription('The starting OBJECT IDENTIFIER of this registration entry. The session identified by agentxSessionIndex implements objects starting at this value (inclusive). Note that this value could identify an object type, an object instance, or a partial object instance. ')
agentxRegRangeSubId = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 4), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegRangeSubId.setStatus('current')
if mibBuilder.loadTexts: agentxRegRangeSubId.setDescription("agentxRegRangeSubId is used to specify the range. This is taken from r.region_subid in the registration PDU. If the value of this object is zero, no range is specified. If it is non-zero, it identifies the `nth' sub-identifier in r.region for which this entry's agentxRegUpperBound value is substituted in the OID for purposes of defining the region's upper bound. ")
agentxRegUpperBound = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 5), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegUpperBound.setStatus('current')
if mibBuilder.loadTexts: agentxRegUpperBound.setDescription('agentxRegUpperBound represents the upper-bound sub-identifier in a registration. This is taken from the r.upper_bound in the registration PDU. If agentxRegRangeSubid (r.region_subid) is zero, this value is also zero and is not used to define an upper bound for this registration. ')
agentxRegPriority = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 6), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegPriority.setStatus('current')
if mibBuilder.loadTexts: agentxRegPriority.setDescription('The registration priority. Lower values have higher priority. This value is taken from r.priority in the register PDU. Sessions should use the value of 127 for r.priority if a default value is desired. ')
agentxRegTimeout = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegTimeout.setStatus('current')
if mibBuilder.loadTexts: agentxRegTimeout.setDescription('The timeout value, in seconds, for responses to requests associated with this registered MIB region. A value of zero(0) indicates the default value (indicated by by agentxSessionTimeout or agentxDefaultTimeout) is to be used. This value is taken from the r.timeout field of the agentx-Register-PDU. ')
agentxRegInstance = MibTableColumn((1, 3, 6, 1, 2, 1, 74, 1, 4, 2, 1, 8), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: agentxRegInstance.setStatus('current')
if mibBuilder.loadTexts: agentxRegInstance.setDescription("The value of agentxRegInstance is `true' for registrations for which the INSTANCE_REGISTRATION was set, and is `false' for all other registrations. ")
agentxConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 2))
agentxMIBGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 2, 1))
agentxMIBCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 74, 2, 2))
agentxMIBCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 74, 2, 2, 1)).setObjects(("AGENTX-MIB", "agentxMIBGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
agentxMIBCompliance = agentxMIBCompliance.setStatus('current')
if mibBuilder.loadTexts: agentxMIBCompliance.setDescription('The compliance statement for SNMP entities that implement the AgentX protocol. Note that a compliant agent can implement all objects in this MIB module as read-only. ')
agentxMIBGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 74, 2, 1, 1)).setObjects(("AGENTX-MIB", "agentxDefaultTimeout"), ("AGENTX-MIB", "agentxMasterAgentXVer"), ("AGENTX-MIB", "agentxConnTableLastChange"), ("AGENTX-MIB", "agentxConnOpenTime"), ("AGENTX-MIB", "agentxConnTransportDomain"), ("AGENTX-MIB", "agentxConnTransportAddress"), ("AGENTX-MIB", "agentxSessionTableLastChange"), ("AGENTX-MIB", "agentxSessionTimeout"), ("AGENTX-MIB", "agentxSessionObjectID"), ("AGENTX-MIB", "agentxSessionDescr"), ("AGENTX-MIB", "agentxSessionAdminStatus"), ("AGENTX-MIB", "agentxSessionOpenTime"), ("AGENTX-MIB", "agentxSessionAgentXVer"), ("AGENTX-MIB", "agentxRegistrationTableLastChange"), ("AGENTX-MIB", "agentxRegContext"), ("AGENTX-MIB", "agentxRegStart"), ("AGENTX-MIB", "agentxRegRangeSubId"), ("AGENTX-MIB", "agentxRegUpperBound"), ("AGENTX-MIB", "agentxRegPriority"), ("AGENTX-MIB", "agentxRegTimeout"), ("AGENTX-MIB", "agentxRegInstance"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
agentxMIBGroup = agentxMIBGroup.setStatus('current')
if mibBuilder.loadTexts: agentxMIBGroup.setDescription('All accessible objects in the AgentX MIB. ')
mibBuilder.exportSymbols("AGENTX-MIB", agentxConnTransportAddress=agentxConnTransportAddress, agentxRegistrationTable=agentxRegistrationTable, agentxMIBGroups=agentxMIBGroups, agentxSession=agentxSession, agentxDefaultTimeout=agentxDefaultTimeout, agentxConformance=agentxConformance, agentxGeneral=agentxGeneral, PYSNMP_MODULE_ID=agentxMIB, agentxConnTransportDomain=agentxConnTransportDomain, agentxSessionTableLastChange=agentxSessionTableLastChange, AgentxTAddress=AgentxTAddress, agentxRegInstance=agentxRegInstance, agentxMIBCompliances=agentxMIBCompliances, agentxRegistration=agentxRegistration, agentxConnIndex=agentxConnIndex, agentxConnOpenTime=agentxConnOpenTime, agentxRegIndex=agentxRegIndex, agentxMIB=agentxMIB, agentxSessionIndex=agentxSessionIndex, agentxRegistrationTableLastChange=agentxRegistrationTableLastChange, agentxSessionEntry=agentxSessionEntry, agentxRegRangeSubId=agentxRegRangeSubId, agentxConnTableLastChange=agentxConnTableLastChange, agentxSessionAgentXVer=agentxSessionAgentXVer, agentxSessionOpenTime=agentxSessionOpenTime, agentxRegTimeout=agentxRegTimeout, agentxMIBGroup=agentxMIBGroup, agentxSessionTable=agentxSessionTable, agentxSessionObjectID=agentxSessionObjectID, agentxRegStart=agentxRegStart, agentxSessionTimeout=agentxSessionTimeout, agentxConnectionTable=agentxConnectionTable, agentxConnectionEntry=agentxConnectionEntry, agentxRegPriority=agentxRegPriority, agentxMIBCompliance=agentxMIBCompliance, agentxRegistrationEntry=agentxRegistrationEntry, agentxRegUpperBound=agentxRegUpperBound, agentxConnection=agentxConnection, agentxObjects=agentxObjects, agentxSessionAdminStatus=agentxSessionAdminStatus, agentxMasterAgentXVer=agentxMasterAgentXVer, agentxRegContext=agentxRegContext, agentxSessionDescr=agentxSessionDescr)
| 157.248175 | 1,776 | 0.79144 | 2,645 | 21,543 | 6.443478 | 0.178072 | 0.007862 | 0.082556 | 0.009623 | 0.340668 | 0.231473 | 0.189521 | 0.158247 | 0.158247 | 0.139705 | 0 | 0.036455 | 0.102307 | 21,543 | 136 | 1,777 | 158.404412 | 0.844821 | 0.014576 | 0 | 0.02381 | 0 | 0.214286 | 0.442601 | 0.030584 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.087302 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
03f920e736f6c895b4937de9aa15935766a3a142 | 1,747 | py | Python | test/test_modify_contact.py | RobertRedford/python_training | 3b73588c86faaee26cc3cbd105d32d190721ee13 | [
"Apache-2.0"
] | null | null | null | test/test_modify_contact.py | RobertRedford/python_training | 3b73588c86faaee26cc3cbd105d32d190721ee13 | [
"Apache-2.0"
] | null | null | null | test/test_modify_contact.py | RobertRedford/python_training | 3b73588c86faaee26cc3cbd105d32d190721ee13 | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
from random import randrange
def test_modify_contact_firstname(app):
if app.contact.count_contacts() == 0:
app.contact.fill_the_field_of_credentials(Contact(firstname="Modify test firstname"))
old_contacts = app.contact.get_contact_list()
index = randrange(len(old_contacts))
contact = Contact(firstname="Modify test firstname")
contact.id = old_contacts[index].id
app.contact.modify_contact_by_index(index, contact)
new_contacts = app.contact.get_contact_list()
assert len(old_contacts) == len(new_contacts)
old_contacts[index] = contact
assert sorted(old_contacts, key=Contact.id_or_max) == sorted(new_contacts, key=Contact.id_or_max)
def test_modify_contact_lastname(app):
if app.contact.count_contacts() == 0:
app.contact.fill_the_field_of_credentials(Contact(lastname="Modify test lastname"))
old_contacts = app.contact.get_contact_list()
index = randrange(len(old_contacts))
contact = Contact(lastname="Modify test lastname")
contact.id = old_contacts[index].id
app.contact.modify_contact_by_index(index, contact)
new_contacts = app.contact.get_contact_list()
assert len(old_contacts) == len(new_contacts)
def test_modify_contact_address(app):
if app.contact.count_contacts() == 0:
app.contact.fill_the_field_of_credentials(Contact(address="Modify test address"))
old_contacts = app.contact.get_contact_list()
index = randrange(len(old_contacts))
contact = Contact(address="Modify test address")
contact.id = old_contacts[index].id
app.contact.modify_contact_by_index(index, contact)
new_contacts = app.contact.get_contact_list()
assert len(old_contacts) == len(new_contacts) | 45.973684 | 101 | 0.755009 | 240 | 1,747 | 5.204167 | 0.145833 | 0.120096 | 0.086469 | 0.100881 | 0.851882 | 0.726982 | 0.68695 | 0.68695 | 0.68695 | 0.68695 | 0 | 0.001996 | 0.139668 | 1,747 | 38 | 102 | 45.973684 | 0.829009 | 0 | 0 | 0.617647 | 0 | 0 | 0.06865 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 1 | 0.088235 | false | 0 | 0.058824 | 0 | 0.147059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ff009577b576f3733fa6b8d627627e1f9312312e | 239 | py | Python | src/shopheroes/__init__.py | koadjunky/item-production-helper | c95c02e6b0512714e79791e358cf1e74481827b4 | [
"MIT"
] | null | null | null | src/shopheroes/__init__.py | koadjunky/item-production-helper | c95c02e6b0512714e79791e358cf1e74481827b4 | [
"MIT"
] | 3 | 2021-02-08T20:39:49.000Z | 2021-06-02T00:52:00.000Z | src/shopheroes/__init__.py | koadjunky/item-production-helper | c95c02e6b0512714e79791e358cf1e74481827b4 | [
"MIT"
] | null | null | null | import logging
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s',
datefmt='%m-%d %H:%M',
handlers=[logging.StreamHandler()])
| 26.555556 | 81 | 0.527197 | 24 | 239 | 5.25 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018072 | 0.305439 | 239 | 8 | 82 | 29.875 | 0.740964 | 0 | 0 | 0 | 0 | 0 | 0.261603 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ff06c5b7b14f4571a3b4f49f068f67710ffeec78 | 139 | py | Python | teams_app/urls.py | oOMIKANOo/Hackathon_0619 | da37bef8352bb914bffbefc9a5a4a97a1207a66e | [
"MIT"
] | null | null | null | teams_app/urls.py | oOMIKANOo/Hackathon_0619 | da37bef8352bb914bffbefc9a5a4a97a1207a66e | [
"MIT"
] | null | null | null | teams_app/urls.py | oOMIKANOo/Hackathon_0619 | da37bef8352bb914bffbefc9a5a4a97a1207a66e | [
"MIT"
] | null | null | null | from rest_framework import routers
from .views import TeamViewSet
router = routers.DefaultRouter()
router.register(r'teams', TeamViewSet) | 23.166667 | 38 | 0.820144 | 17 | 139 | 6.647059 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100719 | 139 | 6 | 38 | 23.166667 | 0.904 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
ff086ff2474439d0c8c5afa079f3e63b5c6e08c1 | 2,314 | py | Python | plugins/module_utils/fleetmanager.py | maxamillion/maxamillion.fleetmanagement | 115a4e31d61a9bd8322e63dd3898b445bf3e87bf | [
"MIT"
] | null | null | null | plugins/module_utils/fleetmanager.py | maxamillion/maxamillion.fleetmanagement | 115a4e31d61a9bd8322e63dd3898b445bf3e87bf | [
"MIT"
] | null | null | null | plugins/module_utils/fleetmanager.py | maxamillion/maxamillion.fleetmanagement | 115a4e31d61a9bd8322e63dd3898b445bf3e87bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# (c) 2022, Adam Miller (maxamillion@gmail.com)
# MIT License (see LICENSE or https://opensource.org/licenses/MIT)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from ansible.module_utils.urls import CertificateError
from ansible.module_utils.six.moves.urllib.parse import urlencode, quote_plus
from ansible.module_utils.connection import ConnectionError
from ansible.module_utils.six.moves.urllib.error import HTTPError
from ansible.module_utils.connection import Connection
from ansible.module_utils._text import to_text
import json
BASE_HEADERS = {"Content-Type": "application/json"}
class ConsoleDotRequest(object):
def __init__(self, module, headers=None, not_rest_data_keys=None):
self.module = module
self.connection = Connection(self.module._socket_path)
self.headers = headers if headers else BASE_HEADERS
def _httpapi_error_handle(self, method, path, data=None):
# FIXME - make use of handle_httperror(self, exception) where applicable
# https://docs.ansible.com/ansible/latest/network/dev_guide/developing_plugins_network.html#developing-plugins-httpapi
try:
code, response = self.connection.send_request(
method, path, data=data, headers=self.headers
)
except ConnectionError as e:
self.module.fail_json(msg=f"connection error occurred: {e}")
except CertificateError as e:
self.module.fail_json(msg=f"certificate error occurred: {e}")
except ValueError as e:
self.module.fail_json(msg=f"certificate not found: {e}")
if code == 500:
self.module.fail_json(msg=f"Error-500: {response}")
return response
def get(self, path, **kwargs):
return self._httpapi_error_handle("GET", path, **kwargs)
def put(self, path, **kwargs):
return self._httpapi_error_handle("PUT", path, **kwargs)
def post(self, path, **kwargs):
return self._httpapi_error_handle("POST", path, **kwargs)
def patch(self, path, **kwargs):
return self._httpapi_error_handle("PATCH", path, **kwargs)
def delete(self, path, **kwargs):
return self._httpapi_error_handle("DELETE", path, **kwargs)
| 35.6 | 128 | 0.699654 | 295 | 2,314 | 5.294915 | 0.372881 | 0.06402 | 0.065301 | 0.084507 | 0.305378 | 0.305378 | 0.242638 | 0.196543 | 0.046095 | 0 | 0 | 0.005882 | 0.191876 | 2,314 | 64 | 129 | 36.15625 | 0.829412 | 0.147796 | 0 | 0 | 0 | 0 | 0.079898 | 0 | 0 | 0 | 0 | 0.015625 | 0 | 1 | 0.179487 | false | 0 | 0.205128 | 0.128205 | 0.564103 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
ff176cfa0d81d21f27918d6a7ac6cc398c1664d5 | 1,416 | py | Python | evaluation/average_precision/results.py | martinGalajdaSchool/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | 2 | 2019-12-11T05:50:39.000Z | 2021-12-06T12:28:40.000Z | evaluation/average_precision/results.py | martinGalajdaSchool/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | 19 | 2019-12-16T21:23:00.000Z | 2022-03-02T14:59:12.000Z | evaluation/average_precision/results.py | martin-galajda/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from typing import Dict, List
class EvaluationResults:
"""
Aggregates and stores evaluation results
for average precision metric.
Metrics stored:
- AP for each class
- Recalls for each class
- Interpolated precisions for each class
- Number of TP for each class
- Number of FP for each class
- Mean average precision (AP averaged across all classes)
"""
mAP: float
AP_per_class: Dict[str, float]
recalls_per_class: Dict[str, List[float]]
interp_precisions_per_class: Dict[str, List[float]]
TP_per_class: Dict[str, int]
FP_per_class: Dict[str, int]
def __init__(
self,
*,
AP_per_class: Dict[str, float],
recalls_per_class: Dict[str, List[float]],
interp_precisions_per_class: Dict[str, List[float]],
TP_per_class: Dict[str, int],
FP_per_class: Dict[str, int]
):
self.mAP = np.sum(list(AP_per_class.values())) / len(AP_per_class)
self.AP_per_class = dict(AP_per_class)
self.recalls_per_class = dict(recalls_per_class)
self.interp_precisions_per_class = dict(interp_precisions_per_class)
self.TP_per_class = TP_per_class
self.FP_per_class = FP_per_class
| 33.714286 | 76 | 0.596045 | 179 | 1,416 | 4.424581 | 0.26257 | 0.222222 | 0.19697 | 0.189394 | 0.449495 | 0.335859 | 0.335859 | 0.335859 | 0.335859 | 0.335859 | 0 | 0 | 0.329096 | 1,416 | 41 | 77 | 34.536585 | 0.833684 | 0.211158 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.083333 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ff1a67dfe1f8287039575123b5f79f7ebfa74804 | 148 | py | Python | django_httpbin/urls.py | csparpa/django-httpbin | cd833027f607d284491c5e83d459ea28e14d0a0e | [
"MIT"
] | 1 | 2021-03-18T22:33:26.000Z | 2021-03-18T22:33:26.000Z | django_httpbin/urls.py | csparpa/django-httpbin | cd833027f607d284491c5e83d459ea28e14d0a0e | [
"MIT"
] | null | null | null | django_httpbin/urls.py | csparpa/django-httpbin | cd833027f607d284491c5e83d459ea28e14d0a0e | [
"MIT"
] | null | null | null | from django.conf.urls import patterns, include
urlpatterns = patterns('',
(r'^django-httpbin', include('django_httpbin.httpbin.endpoints')),
)
| 24.666667 | 70 | 0.736486 | 17 | 148 | 6.352941 | 0.647059 | 0.240741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 148 | 5 | 71 | 29.6 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0.317568 | 0.216216 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
205ea798b7c637309e7e52f6ef8a5b0e61b51b45 | 253 | py | Python | modeling/extension/__init__.py | mukaman84/pytorch-template | 03c24724e084fab99a859202d4c98f2a34cdba22 | [
"MIT"
] | null | null | null | modeling/extension/__init__.py | mukaman84/pytorch-template | 03c24724e084fab99a859202d4c98f2a34cdba22 | [
"MIT"
] | null | null | null | modeling/extension/__init__.py | mukaman84/pytorch-template | 03c24724e084fab99a859202d4c98f2a34cdba22 | [
"MIT"
] | null | null | null | from modeling.extension import unet
def build_extension(ext, out_channels,kernel_size,padding,n_resblocks):
if ext == 'unet':
return unet.UnetDecoder(out_channels,kernel_size,padding,n_resblocks)
else:
raise NotImplementedError
| 31.625 | 77 | 0.758893 | 32 | 253 | 5.78125 | 0.65625 | 0.118919 | 0.183784 | 0.227027 | 0.410811 | 0.410811 | 0.410811 | 0 | 0 | 0 | 0 | 0 | 0.162055 | 253 | 7 | 78 | 36.142857 | 0.872642 | 0 | 0 | 0 | 0 | 0 | 0.01581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2067079d5e9d9e5402ba3bea48b693c56453c571 | 175 | py | Python | qiling/qiling/extensions/windows_sdk/__init__.py | mrTavas/owasp-fstm-auto | 6e9ff36e46d885701c7419db3eca15f12063a7f3 | [
"CC0-1.0"
] | 2 | 2021-05-05T12:03:01.000Z | 2021-06-04T14:27:15.000Z | qiling/qiling/extensions/windows_sdk/__init__.py | mrTavas/owasp-fstm-auto | 6e9ff36e46d885701c7419db3eca15f12063a7f3 | [
"CC0-1.0"
] | null | null | null | qiling/qiling/extensions/windows_sdk/__init__.py | mrTavas/owasp-fstm-auto | 6e9ff36e46d885701c7419db3eca15f12063a7f3 | [
"CC0-1.0"
] | 2 | 2021-05-05T12:03:09.000Z | 2021-06-04T14:27:21.000Z | #!/usr/bin/env python3
#
# Cross Platform and Multi Architecture Advanced Binary Emulation Framework
from os import path
winsdk_path = path.dirname(path.abspath(__file__))
| 21.875 | 75 | 0.788571 | 24 | 175 | 5.541667 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 0.131429 | 175 | 7 | 76 | 25 | 0.868421 | 0.548571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 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 | 0 | 0 | 0 | 3 |
206a06e01fdea468c0e77bd3d86bc58eaea87592 | 164 | py | Python | examples/land-generation/small-area.py | oubiwann/myriad-worlds | bfbbab713e35c5700e37158a892c3a66a8c9f37a | [
"MIT"
] | 3 | 2015-01-29T05:24:32.000Z | 2021-05-10T01:47:36.000Z | examples/land-generation/small-area.py | oubiwann/myriad-worlds | bfbbab713e35c5700e37158a892c3a66a8c9f37a | [
"MIT"
] | null | null | null | examples/land-generation/small-area.py | oubiwann/myriad-worlds | bfbbab713e35c5700e37158a892c3a66a8c9f37a | [
"MIT"
] | 2 | 2015-11-13T00:23:49.000Z | 2020-03-24T22:35:25.000Z | from myriad.game import Game
from myriad.story import Story
story = Story("examples/land-generation/small-area.yaml")
game = Game("save game 1")
game.play(story)
| 20.5 | 57 | 0.762195 | 26 | 164 | 4.807692 | 0.538462 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006897 | 0.115854 | 164 | 7 | 58 | 23.428571 | 0.855172 | 0 | 0 | 0 | 0 | 0 | 0.310976 | 0.243902 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 | 0 | 0 | 0 | 3 |
20abc1af31e260b8620d7c9b70bc3405136b6047 | 185 | py | Python | setup.py | bchidest/CFNet | d8e73bd33cfd62edf76abed99efb9e4bdd7dbc48 | [
"Apache-2.0"
] | 26 | 2019-06-02T06:18:21.000Z | 2022-02-03T07:32:49.000Z | setup.py | JaspreetSinghMaan/CFNet | d8e73bd33cfd62edf76abed99efb9e4bdd7dbc48 | [
"Apache-2.0"
] | null | null | null | setup.py | JaspreetSinghMaan/CFNet | d8e73bd33cfd62edf76abed99efb9e4bdd7dbc48 | [
"Apache-2.0"
] | 5 | 2019-03-11T08:22:47.000Z | 2021-07-10T15:59:56.000Z | from distutils.core import setup
setup(name='cfnet',
version='0.1',
author='Benjamin Chidester',
author_email='bchidest@cs.cmu.edu',
packages=['cfnet'],
)
| 23.125 | 41 | 0.621622 | 22 | 185 | 5.181818 | 0.863636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013889 | 0.221622 | 185 | 7 | 42 | 26.428571 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.142857 | 0 | 0.142857 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
20b2151194f542c5b5e2244d3e086c3a3ee230f7 | 6,110 | py | Python | stubs.min/System/Windows/__init___parts/NameScope.py | denfromufa/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | 1 | 2017-07-07T11:15:45.000Z | 2017-07-07T11:15:45.000Z | stubs.min/System/Windows/__init___parts/NameScope.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | stubs.min/System/Windows/__init___parts/NameScope.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | class NameScope(object,INameScopeDictionary,INameScope,IDictionary[str,object],ICollection[KeyValuePair[str,object]],IEnumerable[KeyValuePair[str,object]],IEnumerable):
"""
Implements base WPF support for the System.Windows.Markup.INameScope methods that store or retrieve name-object mappings into a particular XAML namescope. Adds attached property support to make it simpler to get or set XAML namescope names dynamically at the element level..
NameScope()
"""
def Add(self,*__args):
"""
Add(self: NameScope,key: str,value: object)
Adds an item to the collection.
key: The string key,which is the name of the XAML namescope mapping to add.
value: The object value,which is the object reference of the XAML namescope mapping
to add.
Add(self: NameScope,item: KeyValuePair[str,object])
"""
pass
def Clear(self):
"""
Clear(self: NameScope)
Removes all items from the collection.
"""
pass
def Contains(self,item):
""" Contains(self: NameScope,item: KeyValuePair[str,object]) -> bool """
pass
def ContainsKey(self,key):
"""
ContainsKey(self: NameScope,key: str) -> bool
Returns whether a provided name already exists in this System.Windows.NameScope.
key: The string key to find.
Returns: true if the specified key identifies a name for an existing mapping in this
System.Windows.NameScope. false if the specified key does not exist in the
current System.Windows.NameScope.
"""
pass
def CopyTo(self,array,arrayIndex):
""" CopyTo(self: NameScope,array: Array[KeyValuePair[str,object]],arrayIndex: int) """
pass
def FindName(self,name):
"""
FindName(self: NameScope,name: str) -> object
Returns the corresponding object in the XAML namescope maintained by this
System.Windows.NameScope,based on a provided name string.
name: Name portion of an existing mapping to retrieve the object portion for.
Returns: The requested object that is mapped with name. Can return null if name was
provided as null or empty string,or if no matching object was found.
"""
pass
@staticmethod
def GetNameScope(dependencyObject):
"""
GetNameScope(dependencyObject: DependencyObject) -> INameScope
Provides the attached property get accessor for the
System.Windows.NameScope.NameScope attached property.
dependencyObject: The object to get the XAML namescope from.
Returns: A XAML namescope,as an System.Windows.Markup.INameScope instance.
"""
pass
def RegisterName(self,name,scopedElement):
"""
RegisterName(self: NameScope,name: str,scopedElement: object)
Registers a new name-object pair into the current XAML namescope.
name: The name to use for mapping the given object.
scopedElement: The object to be mapped to the provided name.
"""
pass
def Remove(self,*__args):
"""
Remove(self: NameScope,key: str) -> bool
Removes a mapping for a specified name from the collection.
key: The string key,which is the name of the XAML namescope mapping to remove.
Returns: true if item was successfully removed from the collection,otherwise false.
Also returns false if the item was not found in the collection.
Remove(self: NameScope,item: KeyValuePair[str,object]) -> bool
"""
pass
@staticmethod
def SetNameScope(dependencyObject,value):
"""
SetNameScope(dependencyObject: DependencyObject,value: INameScope)
Provides the attached property set accessor for the
System.Windows.NameScope.NameScope attached property.
dependencyObject: Object to change XAML namescope for.
value: The new XAML namescope,using an interface cast.
"""
pass
def TryGetValue(self,key,value):
"""
TryGetValue(self: NameScope,key: str) -> (bool,object)
Gets the value associated with the specified key.
key: The key of the value to get.
Returns: true if the System.Windows.NameScope contains a mapping for the name provided
as key. Otherwise,false.
"""
pass
def UnregisterName(self,name):
"""
UnregisterName(self: NameScope,name: str)
Removes a name-object mapping from the XAML namescope.
name: The name of the mapping to remove.
"""
pass
def __add__(self,*args):
""" x.__add__(y) <==> x+yx.__add__(y) <==> x+y """
pass
def __contains__(self,*args):
""" __contains__(self: IDictionary[str,object],key: str) -> bool """
pass
def __getitem__(self,*args):
""" x.__getitem__(y) <==> x[y] """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __iter__(self,*args):
""" __iter__(self: IEnumerable) -> object """
pass
def __len__(self,*args):
""" x.__len__() <==> len(x) """
pass
def __repr__(self,*args):
""" __repr__(self: object) -> str """
pass
def __setitem__(self,*args):
""" x.__setitem__(i,y) <==> x[i]= """
pass
Count=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Returns the number of items in the collection of mapped names in this System.Windows.NameScope.
Get: Count(self: NameScope) -> int
"""
IsReadOnly=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Gets a value indicating whether the collection is read-only.
Get: IsReadOnly(self: NameScope) -> bool
"""
Keys=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Gets a collection of the keys in the System.Windows.NameScope dictionary.
Get: Keys(self: NameScope) -> ICollection[str]
"""
Values=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Gets a collection of the values in the System.Windows.NameScope dictionary.
Get: Values(self: NameScope) -> ICollection[object]
"""
NameScopeProperty=None
| 34.519774 | 277 | 0.68838 | 792 | 6,110 | 5.179293 | 0.208333 | 0.02901 | 0.053632 | 0.030473 | 0.29254 | 0.220624 | 0.21136 | 0.183813 | 0.161385 | 0.161385 | 0 | 0 | 0.208347 | 6,110 | 176 | 278 | 34.715909 | 0.848046 | 0.61473 | 0 | 0.458333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.416667 | false | 0.416667 | 0 | 0 | 0.541667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
20c003f730249654cdff557bbda0c19c7aacc703 | 15,608 | py | Python | furnace/utils/ply_utils.py | denyingmxd/Torchssc | 9080c8aadd15d6ae6f7698ba64c6c2bae7393a24 | [
"MIT"
] | null | null | null | furnace/utils/ply_utils.py | denyingmxd/Torchssc | 9080c8aadd15d6ae6f7698ba64c6c2bae7393a24 | [
"MIT"
] | null | null | null | furnace/utils/ply_utils.py | denyingmxd/Torchssc | 9080c8aadd15d6ae6f7698ba64c6c2bae7393a24 | [
"MIT"
] | null | null | null | import numpy as np
import os
colorMap = np.array([[22, 191, 206], # 0 empty, free space
[214, 38, 40], # 1 ceiling red tp
[43, 160, 4], # 2 floor green fp
[158, 216, 229], # 3 wall blue fn
[114, 158, 206], # 4 window
[204, 204, 91], # 5 chair new: 180, 220, 90
[255, 186, 119], # 6 bed
[147, 102, 188], # 7 sofa
[30, 119, 181], # 8 table
[188, 188, 33], # 9 tvs
[255, 127, 12], # 10 furn
[196, 175, 214], # 11 objects
[153, 153, 153], # 12 Accessible area, or label==255, ignore
]).astype(np.int32)
def _get_xyz(size):
####attention
####sometimes you need to change the z dierction by multiply -1
"""x 姘村钩 y楂樹綆 z娣卞害"""
_x = np.zeros(size, dtype=np.int32)
_y = np.zeros(size, dtype=np.int32)
_z = np.zeros(size, dtype=np.int32)
for i_h in range(size[0]): # x, y, z
_x[i_h, :, :] = i_h # x, left-right flip
for i_w in range(size[1]):
_y[:, i_w, :] = i_w # y, up-down flip
for i_d in range(size[2]):
_z[:, :, i_d] = i_d # z, front-back flip
return _x, _y, _z
def voxel_complete_ply(vox_labeled, ply_filename):
if type(vox_labeled) is not np.ndarray:
raise Exception("Oops! Type of vox_labeled should be 'numpy.ndarray', not {}.".format(type(vox_labeled)))
# ---- Check data validation
if np.amax(vox_labeled) == 0:
print('Oops! All voxel is labeled empty.')
return
# ---- get size
new_vertices=[]
num_vertices=0
new_faces = []
num_faces = 0
size = vox_labeled.shape
vox_labeled = vox_labeled.flatten()
_x, _y, _z = _get_xyz(size)
_x = _x.flatten()
_y = _y.flatten()
_z = _z.flatten()
vox_labeled[vox_labeled == 255] = 0
_rgb = colorMap[vox_labeled[:]]
xyz_rgb = np.stack((_x,_y,_z,_rgb[:, 0], _rgb[:, 1], _rgb[:, 2]),axis=-1)
xyz_rgb = np.array(xyz_rgb)
ply_data = xyz_rgb[np.where(vox_labeled > 0)]
# bb=time.time()
for i in range(len(ply_data)):
num_of_line=i
z = float(ply_data[i][0])
y = float(ply_data[i][1])
x = float(ply_data[i][2])
r = ply_data[i][3]
g = ply_data[i][4]
b = ply_data[i][5]
vertice_one = [x, y, z, r, g, b]
vertice_two = [x, y, z + 1, r, g, b]
vertice_three = [x, y + 1, z + 1, r, g, b]
vertice_four = [x, y + 1, z, r, g, b]
vertice_five = [x + 1, y, z, r, g, b]
vertice_six = [x + 1, y, z + 1, r, g, b]
vertice_seven = [x + 1, y + 1, z + 1, r, g, b]
vertice_eight = [x + 1, y + 1, z, r, g, b]
vertices = [vertice_one, vertice_two, vertice_three, vertice_four,
vertice_five, vertice_six, vertice_seven, vertice_eight]
new_vertices.append(vertices)
num_vertices += len(vertices)
base = 8 * num_of_line
face_one = [4, 0 + base, 1 + base, 2 + base, 3 + base]
face_two = [4, 7 + base, 6 + base, 5 + base, 4 + base]
face_three = [4, 0 + base, 4 + base, 5 + base, 1 + base]
face_four = [4, 1 + base, 5 + base, 6 + base, 2 + base]
face_five = [4, 2 + base, 6 + base, 7 + base, 3 + base]
face_six = [4, 3 + base, 7 + base, 4 + base, 0 + base]
faces = [face_one, face_two, face_three, face_four,
face_five, face_six]
new_faces.append(faces)
num_faces += len(faces)
# print(time.time()-bb)
# cc = time.time()
new_vertices = np.array(new_vertices).reshape(-1,6)
new_faces = np.array(new_faces).reshape(-1,5)
if len(ply_data) == 0:
raise Exception("Oops! That was no valid ply data.")
ply_head = 'ply\n' \
'format ascii 1.0\n' \
'element vertex {}\n' \
'property float x\n' \
'property float y\n' \
'property float z\n' \
'property uchar red\n' \
'property uchar green\n' \
'property uchar blue\n' \
'element face {}\n' \
'property list uint8 int32 vertex_indices\n'\
'end_header'.format(num_vertices, num_faces)
# ---- Save ply data to disk
# if not os.path.exists('/'.join(ply_filename.split('/')[:-1])):
# os.mkdir('/'.join(ply_filename.split('/')[:-1]))
np.savetxt(ply_filename, new_vertices, fmt="%d %d %d %d %d %d", header=ply_head, comments='') # It takes 20s
with open(ply_filename,'ab') as f:
np.savetxt(f, new_faces, fmt="%d %d %d %d %d", comments='') # It takes 20s
del vox_labeled, _x, _y, _z, _rgb, xyz_rgb, ply_data, ply_head
def voxel_complete_ply_all_class2(vox_labeled, ply_filename,out_path):
if type(vox_labeled) is not np.ndarray:
raise Exception("Oops! Type of vox_labeled should be 'numpy.ndarray', not {}.".format(type(vox_labeled)))
# ---- Check data validation
if np.amax(vox_labeled) == 0:
print('Oops! All voxel is labeled empty.')
return
# ---- get size
size = vox_labeled.shape
# vox_labeled = vox_labeled.flatten()
for i in range(1,12):
cls_voxel=np.zeros_like(vox_labeled)
cls_voxel[vox_labeled==i]=i
if np.max(cls_voxel)==0:
# print('none')
continue
name = out_path + ply_filename[0].split('/')[-1][3:7] + '_{}.ply'.format(i)
voxel_complete_ply(cls_voxel,name)
def voxel_complete_ply_no_color(vox_labeled, ply_filename,color):
if type(vox_labeled) is not np.ndarray:
raise Exception("Oops! Type of vox_labeled should be 'numpy.ndarray', not {}.".format(type(vox_labeled)))
# ---- Check data validation
if np.amax(vox_labeled) == 0:
print('Oops! All voxel is labeled empty.')
return
# ---- get size
new_vertices=[]
num_vertices=0
new_faces = []
num_faces = 0
size = vox_labeled.shape
vox_labeled = vox_labeled.flatten()
_x, _y, _z = _get_xyz(size)
_x = _x.flatten()
_y = _y.flatten()
_z = _z.flatten()
vox_labeled[vox_labeled == 255] = 0
vox_labeled[vox_labeled == 1] = color
_rgb = colorMap[vox_labeled[:]]
###attention here, define color here
xyz_rgb = np.stack((_x,_y,_z,_rgb[:, 0], _rgb[:, 1], _rgb[:, 2]),axis=-1)
xyz_rgb = np.array(xyz_rgb)
ply_data = xyz_rgb[np.where(vox_labeled > 0)]
# bb=time.time()
for i in range(len(ply_data)):
num_of_line=i
z = float(ply_data[i][0])
y = float(ply_data[i][1])
x = float(ply_data[i][2])
r = ply_data[i][3]
g = ply_data[i][4]
b = ply_data[i][5]
vertice_one = [x, y, z, r, g, b]
vertice_two = [x, y, z + 1, r, g, b]
vertice_three = [x, y + 1, z + 1, r, g, b]
vertice_four = [x, y + 1, z, r, g, b]
vertice_five = [x + 1, y, z, r, g, b]
vertice_six = [x + 1, y, z + 1, r, g, b]
vertice_seven = [x + 1, y + 1, z + 1, r, g, b]
vertice_eight = [x + 1, y + 1, z, r, g, b]
vertices = [vertice_one, vertice_two, vertice_three, vertice_four,
vertice_five, vertice_six, vertice_seven, vertice_eight]
new_vertices.append(vertices)
num_vertices += len(vertices)
base = 8 * num_of_line
face_one = [4, 0 + base, 1 + base, 2 + base, 3 + base]
face_two = [4, 7 + base, 6 + base, 5 + base, 4 + base]
face_three = [4, 0 + base, 4 + base, 5 + base, 1 + base]
face_four = [4, 1 + base, 5 + base, 6 + base, 2 + base]
face_five = [4, 2 + base, 6 + base, 7 + base, 3 + base]
face_six = [4, 3 + base, 7 + base, 4 + base, 0 + base]
faces = [face_one, face_two, face_three, face_four,
face_five, face_six]
new_faces.append(faces)
num_faces += len(faces)
# print(time.time()-bb)
# cc = time.time()
new_vertices = np.array(new_vertices).reshape(-1,6)
new_faces = np.array(new_faces).reshape(-1,5)
if len(ply_data) == 0:
raise Exception("Oops! That was no valid ply data.")
ply_head = 'ply\n' \
'format ascii 1.0\n' \
'element vertex {}\n' \
'property float x\n' \
'property float y\n' \
'property float z\n' \
'property uchar red\n' \
'property uchar green\n' \
'property uchar blue\n' \
'element face {}\n' \
'property list uint8 int32 vertex_indices\n'\
'end_header'.format(num_vertices, num_faces)
# ---- Save ply data to disk
# if not os.path.exists('/'.join(ply_filename.split('/')[:-1])):
# os.mkdir('/'.join(ply_filename.split('/')[:-1]))
np.savetxt(ply_filename, new_vertices, fmt="%d %d %d %d %d %d", header=ply_head, comments='') # It takes 20s
with open(ply_filename,'ab') as f:
np.savetxt(f, new_faces, fmt="%d %d %d %d %d", comments='') # It takes 20s
del vox_labeled, _x, _y, _z, _rgb, xyz_rgb, ply_data, ply_head
def _downsample_label(label, voxel_size=(240, 144, 240), downscale=4):
r"""downsample the labeled data,
Shape:
label, (240, 144, 240)
label_downscale, if downsample==4, then (60, 36, 60)
"""
if downscale == 1:
return label
ds = downscale
small_size = (voxel_size[0] // ds, voxel_size[1] // ds, voxel_size[2] // ds) # small size
label_downscale = np.zeros(small_size, dtype=np.uint8)
empty_t = 0.95 * ds * ds * ds # threshold
s01 = small_size[0] * small_size[1]
label_i = np.zeros((ds, ds, ds), dtype=np.int32)
for i in range(small_size[0] * small_size[1] * small_size[2]):
z = int(i / s01)
y = int((i - z * s01) / small_size[0])
x = int(i - z * s01 - y * small_size[0])
# z, y, x = np.unravel_index(i, small_size) # 閫熷害鏇存參浜?
# print(x, y, z)
label_i[:, :, :] = label[x * ds:(x + 1) * ds, y * ds:(y + 1) * ds, z * ds:(z + 1) * ds]
label_bin = label_i.flatten() # faltten 杩斿洖鐨勬槸鐪熷疄鐨勬暟缁勶紝闇€瑕佸垎閰嶆柊鐨勫唴瀛樼┖闂?
# label_bin = label_i.ravel() # 灏嗗缁存暟缁勫彉鎴?1缁存暟缁勶紝鑰宺avel 杩斿洖鐨勬槸鏁扮粍鐨勮鍥?
# zero_count_0 = np.sum(label_bin == 0)
# zero_count_255 = np.sum(label_bin == 255)
zero_count_0 = np.array(np.where(label_bin == 0)).size # 瑕佹瘮sum鏇村揩
zero_count_255 = np.array(np.where(label_bin == 255)).size
zero_count = zero_count_0 + zero_count_255
if zero_count > empty_t:
label_downscale[x, y, z] = 0 if zero_count_0 > zero_count_255 else 255
else:
# label_i_s = label_bin[np.nonzero(label_bin)] # get the none empty class labels
label_i_s = label_bin[np.where(np.logical_and(label_bin > 0, label_bin < 255))]
label_downscale[x, y, z] = np.argmax(np.bincount(label_i_s))
return label_downscale
def from_npz_to_ply(npz_file,ply_file,tsdf_file, target_file):
print(npz_file)
if 'npy' in npz_file:
data = np.load(npz_file).astype(int)
elif 'npz' in npz_file:
data = np.load(npz_file)['arr_0'] ### be careful here
else:
print('not supported')
exit()
# print(data.files)
tsdf = np.load(tsdf_file)['arr_1']
target = np.load(target_file)['arr_0']
data = np.ravel(data)
data *= target != 255
data *= tsdf == 1
data = data.reshape(60, 36, 60)
print(ply_file)
if '_sketch' in npz_file:
color=np.array([[22, 191, 206],
[0,128,255]])
voxel_complete_ply(data,ply_file)
else:
voxel_complete_ply(data, ply_file)
pass
# print('aaa',npz_file,ply_file)
return 0
def voxel_complete_ply_torchssc(vox_labeled, ply_filename,label_weight,target):
vox_labeled = vox_labeled
vox_labeled = np.ravel(vox_labeled)
vox_labeled *= target != 255
vox_labeled *= label_weight == 1
vox_labeled = vox_labeled.reshape(60, 36, 60)
if type(vox_labeled) is not np.ndarray:
raise Exception("Oops! Type of vox_labeled should be 'numpy.ndarray', not {}.".format(type(vox_labeled)))
# ---- Check data validation
if np.amax(vox_labeled) == 0:
print('Oops! All voxel is labeled empty.')
return
# ---- get size
new_vertices=[]
num_vertices=0
new_faces = []
num_faces = 0
size = vox_labeled.shape
vox_labeled = vox_labeled.flatten()
_x, _y, _z = _get_xyz(size)
_x = _x.flatten()
_y = _y.flatten()
_z = _z.flatten()
vox_labeled[vox_labeled == 255] = 0
_rgb = colorMap[vox_labeled[:]]
xyz_rgb = np.stack((_x,_y,_z,_rgb[:, 0], _rgb[:, 1], _rgb[:, 2]),axis=-1)
xyz_rgb = np.array(xyz_rgb)
ply_data = xyz_rgb[np.where(vox_labeled > 0)]
# bb=time.time()
for i in range(len(ply_data)):
num_of_line=i
z = float(ply_data[i][0])
y = float(ply_data[i][1])
x = float(ply_data[i][2])
r = ply_data[i][3]
g = ply_data[i][4]
b = ply_data[i][5]
vertice_one = [x, y, z, r, g, b]
vertice_two = [x, y, z + 1, r, g, b]
vertice_three = [x, y + 1, z + 1, r, g, b]
vertice_four = [x, y + 1, z, r, g, b]
vertice_five = [x + 1, y, z, r, g, b]
vertice_six = [x + 1, y, z + 1, r, g, b]
vertice_seven = [x + 1, y + 1, z + 1, r, g, b]
vertice_eight = [x + 1, y + 1, z, r, g, b]
vertices = [vertice_one, vertice_two, vertice_three, vertice_four,
vertice_five, vertice_six, vertice_seven, vertice_eight]
new_vertices.append(vertices)
num_vertices += len(vertices)
base = 8 * num_of_line
face_one = [4, 0 + base, 1 + base, 2 + base, 3 + base]
face_two = [4, 7 + base, 6 + base, 5 + base, 4 + base]
face_three = [4, 0 + base, 4 + base, 5 + base, 1 + base]
face_four = [4, 1 + base, 5 + base, 6 + base, 2 + base]
face_five = [4, 2 + base, 6 + base, 7 + base, 3 + base]
face_six = [4, 3 + base, 7 + base, 4 + base, 0 + base]
faces = [face_one, face_two, face_three, face_four,
face_five, face_six]
new_faces.append(faces)
num_faces += len(faces)
# print(time.time()-bb)
# cc = time.time()
new_vertices = np.array(new_vertices).reshape(-1,6)
new_faces = np.array(new_faces).reshape(-1,5)
if len(ply_data) == 0:
raise Exception("Oops! That was no valid ply data.")
ply_head = 'ply\n' \
'format ascii 1.0\n' \
'element vertex {}\n' \
'property float x\n' \
'property float y\n' \
'property float z\n' \
'property uchar red\n' \
'property uchar green\n' \
'property uchar blue\n' \
'element face {}\n' \
'property list uint8 int32 vertex_indices\n'\
'end_header'.format(num_vertices, num_faces)
# ---- Save ply data to disk
# if not os.path.exists('/'.join(ply_filename.split('/')[:-1])):
# os.mkdir('/'.join(ply_filename.split('/')[:-1]))
np.savetxt(ply_filename, new_vertices, fmt="%d %d %d %d %d %d", header=ply_head, comments='') # It takes 20s
with open(ply_filename,'ab') as f:
np.savetxt(f, new_faces, fmt="%d %d %d %d %d", comments='') # It takes 20s
del vox_labeled, _x, _y, _z, _rgb, xyz_rgb, ply_data, ply_head
| 40.435233 | 113 | 0.548309 | 2,358 | 15,608 | 3.426209 | 0.118321 | 0.073029 | 0.008912 | 0.025993 | 0.729422 | 0.722738 | 0.6835 | 0.6835 | 0.677064 | 0.67137 | 0 | 0.047221 | 0.302601 | 15,608 | 385 | 114 | 40.54026 | 0.694626 | 0.115902 | 0 | 0.717949 | 0 | 0 | 0.098021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022436 | false | 0.003205 | 0.00641 | 0 | 0.054487 | 0.022436 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
20c8975031efbb39bfe4341b11f38e3e5f0cd9a6 | 402 | py | Python | History/models.py | mangonihao/MovieRecommendWeb | b612fcda68bf5f8b1f2734c138e3204119a78596 | [
"Apache-2.0"
] | 2 | 2021-11-04T01:51:11.000Z | 2021-11-23T13:21:01.000Z | History/models.py | mangonihao/MovieRecommendWeb | b612fcda68bf5f8b1f2734c138e3204119a78596 | [
"Apache-2.0"
] | null | null | null | History/models.py | mangonihao/MovieRecommendWeb | b612fcda68bf5f8b1f2734c138e3204119a78596 | [
"Apache-2.0"
] | null | null | null | from django.db import models
from baseModel.BaseModel import BaseModel
from Users.models import User
from Movies.models import Movie
# Create your models here.
class BrowseHistory(models.Model):#存放用户浏览历史
history_id = models.AutoField(primary_key=True, verbose_name='用户浏览记录id')
user = models.ForeignKey(User,on_delete=models.CASCADE)
movie = models.ForeignKey(Movie,on_delete=models.CASCADE) | 44.666667 | 76 | 0.80597 | 55 | 402 | 5.8 | 0.545455 | 0.075235 | 0.087774 | 0.131661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109453 | 402 | 9 | 77 | 44.666667 | 0.891061 | 0.079602 | 0 | 0 | 0 | 0 | 0.021739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
20dbbb236a181c53ff65c04fa10d5f4f478a4a4a | 197 | py | Python | data/scripts/loadtransferfunction.py | ImagiaViz/inviwo | a00bb6b0551bc1cf26dc0366c827c1a557a9603d | [
"BSD-2-Clause"
] | 349 | 2015-01-30T09:21:52.000Z | 2022-03-25T03:10:02.000Z | data/scripts/loadtransferfunction.py | liu3xing3long/inviwo | 69cca9b6ecd58037bda0ed9e6f53d02f189f19a7 | [
"BSD-2-Clause"
] | 641 | 2015-09-23T08:54:06.000Z | 2022-03-23T09:50:55.000Z | data/scripts/loadtransferfunction.py | liu3xing3long/inviwo | 69cca9b6ecd58037bda0ed9e6f53d02f189f19a7 | [
"BSD-2-Clause"
] | 124 | 2015-02-27T23:45:02.000Z | 2022-02-21T09:37:14.000Z | # Inviwo Python script
import inviwopy
tf = inviwopy.app.network.VolumeRaycaster.transferFunction
tf.load( inviwopy.app.getPath( inviwopy.PathType.TransferFunctions) + "/transferfunction.itf" )
| 28.142857 | 95 | 0.807107 | 21 | 197 | 7.571429 | 0.714286 | 0.138365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091371 | 197 | 6 | 96 | 32.833333 | 0.888268 | 0.101523 | 0 | 0 | 0 | 0 | 0.121387 | 0.121387 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
20dcaee977e66054a76b67c68e422c844bffa372 | 286 | py | Python | PManager/services/service_queue.py | srisankethu/opengift.io | fc490332bd0252610b55a68c1fff1c4f704fcbd4 | [
"Apache-2.0"
] | 1 | 2020-08-30T23:12:08.000Z | 2020-08-30T23:12:08.000Z | PManager/services/service_queue.py | lenarhus/opengift.io | db37494eac141e795c8d9d5b262d54cd6f20fb15 | [
"Apache-2.0"
] | null | null | null | PManager/services/service_queue.py | lenarhus/opengift.io | db37494eac141e795c8d9d5b262d54cd6f20fb15 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
__author__ = 'Rayleigh'
import redis
from tracker import settings
service_queue = redis.StrictRedis(
host=settings.ORDERS_REDIS_HOST,
port=settings.ORDERS_REDIS_PORT,
db=settings.ORDERS_REDIS_DB,
password=settings.ORDERS_REDIS_PASSWORD
).publish
| 23.833333 | 43 | 0.769231 | 36 | 286 | 5.75 | 0.527778 | 0.270531 | 0.36715 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004032 | 0.132867 | 286 | 11 | 44 | 26 | 0.830645 | 0.06993 | 0 | 0 | 0 | 0 | 0.030303 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.111111 | 0.222222 | 0 | 0.222222 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
45532635d1d4a4c4f1bf66249de6896aef8b887f | 4,328 | py | Python | cisca_admin/results.py | codeballet/cisca-admin | 362974faaa892d1afd138796a1e634aa300e90e9 | [
"MIT"
] | 1 | 2021-09-16T12:27:54.000Z | 2021-09-16T12:27:54.000Z | cisca_admin/results.py | codeballet/cisca-admin | 362974faaa892d1afd138796a1e634aa300e90e9 | [
"MIT"
] | null | null | null | cisca_admin/results.py | codeballet/cisca-admin | 362974faaa892d1afd138796a1e634aa300e90e9 | [
"MIT"
] | null | null | null | from flask import (
Blueprint, flash, redirect, render_template, request, send_file, session, url_for
)
from sqlalchemy import and_
from sqlalchemy.orm import selectinload
from flask_paginate import Pagination, get_page_args
from cisca_admin.auth import login_required
from cisca_admin.db import db_session
from cisca_admin.models import Birth, Country, Image, IstdNumber, ChName, Passport, Person, RadNumber, User
bp = Blueprint('results', __name__, url_prefix='/results')
@ bp.route('/table', methods=('GET',))
@ login_required
def table():
message = None
if request.args.get('first_name') and request.args.get('family_name'):
query = Person.query.\
order_by(Person.person_id.asc()).\
options(selectinload(Person.birth)).\
options(selectinload(Person.image)).\
options(selectinload(Person.ch_name)).\
options(selectinload(Person.passport)).\
options(selectinload(Person.rad_number)).\
options(selectinload(Person.istd_number)).\
filter(and_(
Person.first_name == request.args.get('first_name'),
Person.family_name == request.args.get('family_name')
))
elif request.args.get('nickname'):
query = Person.query.\
order_by(Person.family_name.asc()).\
options(selectinload(Person.birth)).\
options(selectinload(Person.image)).\
options(selectinload(Person.ch_name)).\
options(selectinload(Person.passport)).\
options(selectinload(Person.rad_number)).\
options(selectinload(Person.istd_number)).\
filter(Person.nickname == request.args.get('nickname'))
elif request.args.get('first_name'):
name = request.args.get('first_name')
query = Person.query.\
order_by(Person.family_name.asc()).\
options(selectinload(Person.birth)).\
options(selectinload(Person.image)).\
options(selectinload(Person.ch_name)).\
options(selectinload(Person.passport)).\
options(selectinload(Person.rad_number)).\
options(selectinload(Person.istd_number)).\
filter(Person.first_name == name)
elif request.args.get('family_name'):
query = Person.query.\
order_by(Person.first_name.asc()).\
options(selectinload(Person.birth)).\
options(selectinload(Person.image)).\
options(selectinload(Person.ch_name)).\
options(selectinload(Person.passport)).\
options(selectinload(Person.rad_number)).\
options(selectinload(Person.istd_number)).\
filter(Person.family_name == request.args.get('family_name'))
elif request.args.get('everyone'):
query = Person.query.\
order_by(
Person.family_name.asc(),
Person.first_name.asc()
).\
options(selectinload(Person.birth)).\
options(selectinload(Person.image)).\
options(selectinload(Person.ch_name)).\
options(selectinload(Person.passport)).\
options(selectinload(Person.rad_number)).\
options(selectinload(Person.istd_number)).\
options(selectinload(Person.countries))
else:
# No form fields completed
message = 'Please fill in all the search fields.'
# Check query for result
if query.first() is None:
message = 'I could not find anyone matching your search terms.'
# Query is successful, redirect
if message is None:
# Pagination
page = int(request.args.get('page', 1))
per_page = 10
offset = (page - 1) * per_page
query_for_render = query.limit(per_page).offset(offset)
search = False
q = request.args.get('q')
if q:
search = True
pagination = Pagination(
page=page,
per_page=per_page,
offset=offset,
total=query.count(),
css_framework='bootstrap4',
search=search
)
return render_template('people/results.html', query=query_for_render, pagination=pagination)
# No successful query
flash(message)
return redirect(url_for('index.index'))
| 37.310345 | 107 | 0.618762 | 461 | 4,328 | 5.659436 | 0.234273 | 0.225757 | 0.297049 | 0.071292 | 0.5711 | 0.550402 | 0.531238 | 0.529705 | 0.529705 | 0.513607 | 0 | 0.001563 | 0.26086 | 4,328 | 115 | 108 | 37.634783 | 0.814004 | 0.024954 | 0 | 0.389474 | 0 | 0 | 0.062886 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010526 | false | 0.063158 | 0.073684 | 0 | 0.105263 | 0.021053 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
4553f97487bd57175073597d26fa75efc13a4600 | 1,023 | py | Python | tests/cryptol_eval/test_basics.py | GaloisInc/galois-py-toolk | 101cc00e02c27b9f115d5ea1f6b8af6f0dcea856 | [
"BSD-3-Clause"
] | null | null | null | tests/cryptol_eval/test_basics.py | GaloisInc/galois-py-toolk | 101cc00e02c27b9f115d5ea1f6b8af6f0dcea856 | [
"BSD-3-Clause"
] | 10 | 2021-02-15T16:41:42.000Z | 2021-03-12T19:36:41.000Z | tests/cryptol_eval/test_basics.py | GaloisInc/galois-py-toolk | 101cc00e02c27b9f115d5ea1f6b8af6f0dcea856 | [
"BSD-3-Clause"
] | 2 | 2021-02-15T14:35:43.000Z | 2021-02-18T19:08:22.000Z | import os
from pathlib import Path
import signal
import subprocess
import time
import unittest
from distutils.spawn import find_executable
import cryptol
from cryptol.bitvector import BV
class CryptolEvalServerTests(unittest.TestCase):
# Connection to cryptol
c = None
@classmethod
def setUpClass(self):
dir_path = Path(os.path.dirname(os.path.realpath(__file__)))
if command := os.getenv('CRYPTOL_SERVER'):
self.c = cryptol.connect(f'{command} socket --module M', cryptol_path=dir_path)
else:
raise ValueError('CRYPTOL_SERVER environment variable not set (eval server tests currently only work with a local executable)')
def test_evaluation(self):
if self.c:
c = self.c
res = c.call('f', BV(size=8,value=0xff)).result()
self.assertEqual(res, [BV(size=8,value=0xff), BV(size=8,value=0xff)])
# def test_disallowed_ops(self):
# pass # TODO/FIXME
if __name__ == "__main__":
unittest.main()
| 27.648649 | 139 | 0.673509 | 134 | 1,023 | 4.985075 | 0.537313 | 0.022455 | 0.031437 | 0.053892 | 0.071856 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007557 | 0.223851 | 1,023 | 36 | 140 | 28.416667 | 0.833753 | 0.071359 | 0 | 0 | 0 | 0 | 0.166138 | 0 | 0 | 0 | 0.012698 | 0.027778 | 0.04 | 1 | 0.08 | false | 0 | 0.36 | 0 | 0.52 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
457ddc1f591d2012ccec6970d0a013f5e9d0c736 | 215 | py | Python | alpyro_msgs/std_msgs/float64.py | rho2/alpyro_msgs | b5a680976c40c83df70d61bb2db1de32a1cde8d3 | [
"MIT"
] | 1 | 2020-12-13T13:07:10.000Z | 2020-12-13T13:07:10.000Z | alpyro_msgs/std_msgs/float64.py | rho2/alpyro_msgs | b5a680976c40c83df70d61bb2db1de32a1cde8d3 | [
"MIT"
] | null | null | null | alpyro_msgs/std_msgs/float64.py | rho2/alpyro_msgs | b5a680976c40c83df70d61bb2db1de32a1cde8d3 | [
"MIT"
] | null | null | null | from alpyro_msgs import RosMessage, float64
class Float64(RosMessage):
__msg_typ__ = "std_msgs/Float64"
__msg_def__ = "ZmxvYXQ2NCBkYXRhCgo="
__md5_sum__ = "fdb28210bfa9d7c91146260178d9a584"
data: float64
| 21.5 | 50 | 0.790698 | 22 | 215 | 6.954545 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172043 | 0.134884 | 215 | 9 | 51 | 23.888889 | 0.650538 | 0 | 0 | 0 | 0 | 0 | 0.316279 | 0.148837 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 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 | 0 | 0 | 1 | 0 | 0 | 3 |
4582bfac59a5e934a6945d5899e90751a1b93c9b | 324 | py | Python | Python/FromUniversity/finalwork/quadratic.py | programmer-666/Codes | fdffe38a789ba3636dff7ceaa9f1b4113ae17c2b | [
"MIT"
] | null | null | null | Python/FromUniversity/finalwork/quadratic.py | programmer-666/Codes | fdffe38a789ba3636dff7ceaa9f1b4113ae17c2b | [
"MIT"
] | null | null | null | Python/FromUniversity/finalwork/quadratic.py | programmer-666/Codes | fdffe38a789ba3636dff7ceaa9f1b4113ae17c2b | [
"MIT"
] | 1 | 2021-09-16T14:24:29.000Z | 2021-09-16T14:24:29.000Z | # -*- coding: utf-8 -*-
# Quaratik denklem
import math
x, y, z = 10, 1, -30
def deltaf(a,b,c):
return b**2-4*a*c
def x1(a, b, delta):
return (-b+math.sqrt(delta))/(2*a)
def x2(a, b, delta):
return (-b-math.sqrt(delta))/(2*a)
if deltaf(x,y,z) > 0:
print(x1(x, y, deltaf(x, y, z)), x2(x, y, deltaf(x, y, z))) | 23.142857 | 63 | 0.546296 | 69 | 324 | 2.565217 | 0.405797 | 0.067797 | 0.067797 | 0.152542 | 0.451977 | 0.451977 | 0.327684 | 0.327684 | 0.327684 | 0.327684 | 0 | 0.057692 | 0.197531 | 324 | 14 | 63 | 23.142857 | 0.623077 | 0.117284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.1 | 0.3 | 0.7 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
459187e8b7f8c04bfdb24e1b7e0f3c31aeb97743 | 980 | py | Python | src/openprocurement/framework/electroniccatalogue/tests/periods.py | ProzorroUKR/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 10 | 2020-02-18T01:56:21.000Z | 2022-03-28T00:32:57.000Z | src/openprocurement/framework/electroniccatalogue/tests/periods.py | quintagroup/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 26 | 2018-07-16T09:30:44.000Z | 2021-02-02T17:51:30.000Z | src/openprocurement/framework/electroniccatalogue/tests/periods.py | ProzorroUKR/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 15 | 2019-08-08T10:50:47.000Z | 2022-02-05T14:13:36.000Z | from datetime import timedelta
PERIODS = {
"active": {
"start": {
"enquiryPeriod": {
"startDate": timedelta(),
"endDate": timedelta(days=10),
},
"period": {
"startDate": timedelta(),
"endDate": timedelta(days=30)
},
"qualificationPeriod": {
"startDate": timedelta(days=10),
"endDate": timedelta(days=61)
},
}
},
"complete": {
"start": {
"enquiryPeriod": {
"startDate": -timedelta(days=61),
"endDate": -timedelta(days=51),
},
"period": {
"startDate": -timedelta(days=61),
"endDate": -timedelta(days=30)
},
"qualificationPeriod": {
"startDate": -timedelta(days=51),
"endDate": timedelta()
}
}
}
}
| 26.486486 | 49 | 0.4 | 57 | 980 | 6.877193 | 0.315789 | 0.298469 | 0.255102 | 0.183673 | 0.637755 | 0.494898 | 0.494898 | 0.321429 | 0 | 0 | 0 | 0.033771 | 0.456122 | 980 | 36 | 50 | 27.222222 | 0.701689 | 0 | 0 | 0.342857 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.028571 | 0 | 0.028571 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
45b561fc2efb92b15d6ff7dddfe858020412f68a | 2,318 | py | Python | RLPython/distribution.py | snumrl/DistributedDeepMimic | 364d07dbdd5378b6d46d944e472e1632712ef5f6 | [
"MIT"
] | null | null | null | RLPython/distribution.py | snumrl/DistributedDeepMimic | 364d07dbdd5378b6d46d944e472e1632712ef5f6 | [
"MIT"
] | null | null | null | RLPython/distribution.py | snumrl/DistributedDeepMimic | 364d07dbdd5378b6d46d944e472e1632712ef5f6 | [
"MIT"
] | null | null | null | import torch
import torch.distributions as tdist
import math
class DistributionInterface():
def get_scale(self, state):
assert(False)
def sample(self, mu, state):
assert(False)
def log_density(self, act, mu, state):
assert(False)
def train(self):
pass
def eval(self):
pass
def zero_grad(self):
pass
def step(self):
pass
def set_ckpt(self, ckpt):
pass
def get_ckpt(self):
return {}
class FixedGaussianDistribution(DistributionInterface):
def __init__(self, dist, scale):
self.dist = dist
self.scale = scale
def get_scale(self, state):
return self.scale
def sample(self, mu, state):
return self.dist(mu, self.scale).sample()
def log_prob(self, act, mu, state):
return self.dist(mu, self.scale).log_prob(act)
def entropy(self, mu, state):
return self.dist(mu, self.scale).entropy()
def set_ckpt(self, ckpt):
assert('scale' in ckpt)
self.scale = ckpt['scale']
#if 'scale' in ckpt: self.scale = ckpt['scale']
def get_ckpt(self):
return {'scale' : self.scale}
class NetGaussianDistribution(DistributionInterface):
def __init__(self, dist, network, opt, scale):
self.dist = dist
self.network = network
self.opt = opt
self.scale = scale
def get_scale(self, state):
res = torch.exp(self.network(state.cuda()).cpu()) * self.scale
return res
def sample(self, mu, state):
return self.dist(mu, self.get_scale(state)).sample()
def log_prob(self, act, mu, state):
return self.dist(mu, self.get_scale(state)).log_prob(act)
def entropy(self, mu, state):
return self.dist(mu, self.get_scale(state)).entropy()
def train(self):
self.network.train()
def eval(self):
self.network.eval()
def zero_grad(self):
self.opt.zero_grad()
def step(self):
self.opt.step()
def set_ckpt(self, ckpt):
assert('netdist' and 'scale' in ckpt)
self.network.load_state_dict(ckpt['netdist'])
self.scale = ckpt['scale']
def get_ckpt(self):
return {'netdist' : self.network.state_dict(), \
'scale' : self.scale}
| 23.653061 | 70 | 0.597929 | 299 | 2,318 | 4.531773 | 0.157191 | 0.079705 | 0.077491 | 0.075277 | 0.583764 | 0.419188 | 0.383764 | 0.354244 | 0.300369 | 0.2369 | 0 | 0 | 0.277394 | 2,318 | 97 | 71 | 23.896907 | 0.808955 | 0.019845 | 0 | 0.550725 | 0 | 0 | 0.022457 | 0 | 0 | 0 | 0 | 0 | 0.072464 | 1 | 0.391304 | false | 0.072464 | 0.043478 | 0.144928 | 0.637681 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
45c16348200f556342f744685214a4e124a21835 | 74 | py | Python | exercicios/exe025/exe025.py | tiagolsouza/exercicios-Curso-em-video-PYTHON | e4e6975fac7e4883aeab58b970c6ca72895564e4 | [
"MIT"
] | null | null | null | exercicios/exe025/exe025.py | tiagolsouza/exercicios-Curso-em-video-PYTHON | e4e6975fac7e4883aeab58b970c6ca72895564e4 | [
"MIT"
] | null | null | null | exercicios/exe025/exe025.py | tiagolsouza/exercicios-Curso-em-video-PYTHON | e4e6975fac7e4883aeab58b970c6ca72895564e4 | [
"MIT"
] | null | null | null | nome = input('Digite seu nome completo: ')
print('SILVA' in nome.upper())
| 24.666667 | 42 | 0.689189 | 11 | 74 | 4.636364 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 74 | 2 | 43 | 37 | 0.796875 | 0 | 0 | 0 | 0 | 0 | 0.418919 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
afdf6851204dcc96a54b3fa8c492dbcd5f5f6ba0 | 102 | py | Python | API e JSON/archive_teste.py | DouglasCarvalhoPereira/Especializaco-Python | 7dface66ef0c86e183e5a5f1a2c9e6f753647d69 | [
"MIT"
] | null | null | null | API e JSON/archive_teste.py | DouglasCarvalhoPereira/Especializaco-Python | 7dface66ef0c86e183e5a5f1a2c9e6f753647d69 | [
"MIT"
] | null | null | null | API e JSON/archive_teste.py | DouglasCarvalhoPereira/Especializaco-Python | 7dface66ef0c86e183e5a5f1a2c9e6f753647d69 | [
"MIT"
] | null | null | null | valor = 12
def teste_git(testes):
result = testes ** 33
return result
print(teste_git(valor))
| 12.75 | 23 | 0.686275 | 15 | 102 | 4.533333 | 0.666667 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049383 | 0.205882 | 102 | 7 | 24 | 14.571429 | 0.790123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.4 | 0.2 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
aff07a2d9e33e1fe95456de73dedf3c4d0182fb7 | 192 | py | Python | utils/cmd.py | tiennguyen1510/Android-Pentest-Suite | 33b34476da33e3528d573a8ca102e2b91aabc3f8 | [
"MIT"
] | 11 | 2019-10-07T08:08:53.000Z | 2022-01-27T05:13:55.000Z | utils/cmd.py | tiennguyen1510/Android-Pentest-Suite | 33b34476da33e3528d573a8ca102e2b91aabc3f8 | [
"MIT"
] | null | null | null | utils/cmd.py | tiennguyen1510/Android-Pentest-Suite | 33b34476da33e3528d573a8ca102e2b91aabc3f8 | [
"MIT"
] | 9 | 2019-10-02T03:28:47.000Z | 2021-02-07T13:37:18.000Z | import subprocess
def do_cmd(list_cmd):
cmd_result = None
try:
cmd_result = subprocess.check_output(list_cmd)
except Exception as e:
print e
return cmd_result | 19.2 | 54 | 0.677083 | 27 | 192 | 4.555556 | 0.62963 | 0.219512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.270833 | 192 | 10 | 55 | 19.2 | 0.878571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0.125 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b3034e35c7e44b2219e9644b8fa5ddad0c644daa | 128 | py | Python | elephantblog/__init__.py | sbaechler/feincms-elephantblog | d3d1824d1781cfa0f81d6cf16577f8e540fc1441 | [
"BSD-3-Clause"
] | null | null | null | elephantblog/__init__.py | sbaechler/feincms-elephantblog | d3d1824d1781cfa0f81d6cf16577f8e540fc1441 | [
"BSD-3-Clause"
] | null | null | null | elephantblog/__init__.py | sbaechler/feincms-elephantblog | d3d1824d1781cfa0f81d6cf16577f8e540fc1441 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, unicode_literals
VERSION = (1, 0, 2, 'beta')
__version__ = '.'.join(map(str, VERSION))
| 25.6 | 56 | 0.726563 | 17 | 128 | 4.882353 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026786 | 0.125 | 128 | 4 | 57 | 32 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0.039063 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
b307c99a53dff8aa58d3bdc56ba0ec9b17ce7a00 | 448 | py | Python | HW7/HOhorodnyk/CW_7_1.py | kolyasalubov/Lv-677.PythonCore | c9f9107c734a61e398154a90b8a3e249276c2704 | [
"MIT"
] | null | null | null | HW7/HOhorodnyk/CW_7_1.py | kolyasalubov/Lv-677.PythonCore | c9f9107c734a61e398154a90b8a3e249276c2704 | [
"MIT"
] | null | null | null | HW7/HOhorodnyk/CW_7_1.py | kolyasalubov/Lv-677.PythonCore | c9f9107c734a61e398154a90b8a3e249276c2704 | [
"MIT"
] | 6 | 2022-02-22T22:30:49.000Z | 2022-03-28T12:51:19.000Z | def count_positives_sum_negatives(arr):
if not arr:
return []
positive_array_count = 0
negative_array_count = 0
neither_array = 0
for i in arr:
if i > 0:
positive_array_count = positive_array_count + 1
elif i == 0:
neither_array = neither_array + i
else:
negative_array_count = negative_array_count + i
return [positive_array_count, negative_array_count] | 29.866667 | 60 | 0.631696 | 58 | 448 | 4.5 | 0.344828 | 0.306513 | 0.275862 | 0.183908 | 0.214559 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019481 | 0.3125 | 448 | 15 | 61 | 29.866667 | 0.827922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b33e524fc63f4db5427f52713f52b42dd3ba1adb | 3,834 | py | Python | open_discussions_api/users/client_test.py | mitodl/open-discussions-client | e2da9b751eebcfbfb20d081baf46299fbfea38b9 | [
"BSD-3-Clause"
] | null | null | null | open_discussions_api/users/client_test.py | mitodl/open-discussions-client | e2da9b751eebcfbfb20d081baf46299fbfea38b9 | [
"BSD-3-Clause"
] | 20 | 2017-08-28T18:12:33.000Z | 2018-07-30T17:26:27.000Z | open_discussions_api/users/client_test.py | mitodl/open-discussions-client | e2da9b751eebcfbfb20d081baf46299fbfea38b9 | [
"BSD-3-Clause"
] | null | null | null | """Tests for user client API"""
# pylint: disable=unused-argument
import json
import pytest
def test_list_users(api_client):
"""Test list users for correct request"""
resp = api_client.users.list()
assert resp.status_code == 200
assert resp.json() == [{
"id": 39,
"username": "01BQRHXRDP1J63DF8QQB6B8TKA",
"profile": {
"name": "name",
"image": "test1.jpg",
"image_small": "test2.jpg",
"image_medium": "test3.jpg"
}
}]
def test_create_user(api_client):
"""Test create user"""
resp = api_client.users.create(
'user1',
email='user@example.com',
profile=dict(
name="my name",
image="image1.jpg",
image_small="image2.jpg",
image_medium="image3.jpg",
email_optin=True
)
)
assert json.loads(resp.request.body) == {
"uid": "user1",
"email": "user@example.com",
"profile": {
"name": "my name",
"image": "image1.jpg",
"image_small": "image2.jpg",
"image_medium": "image3.jpg",
"email_optin": True,
}
}
assert resp.status_code == 201
assert resp.json() == {
"id": 127,
"username": "01C53XW2FCHQE1PAPHZMH036HF",
"profile": {
"name": "my name",
"image": "image1.jpg",
"image_small": "image2.jpg",
"image_medium": "image3.jpg"
}
}
def test_create_user_no_profile_props(api_client):
"""Updating with no args raises error"""
with pytest.raises(AttributeError) as err:
api_client.users.create('user1')
assert str(err.value) == "No fields provided to create"
def test_create_user_invalid_profile_props(api_client):
"""Updating with invalid arg raises error"""
with pytest.raises(AttributeError) as err:
api_client.users.create('user1', profile=dict(bad_arg=2))
assert str(err.value) == "Profile attribute bad_arg is not supported"
def test_get_user(api_client, use_betamax):
"""Test get user"""
resp = api_client.users.get("01BRMT958T3DW02ZAYDG7N6QCB")
assert resp.status_code == 200
assert resp.json() == {
"id": 41,
"username": "01BRMT958T3DW02ZAYDG7N6QCB",
"profile": {
"name": "my name",
"image": "image1.jpg",
"image_small": "image4.jpg",
"image_medium": "image3.jpg",
}
}
def test_update_user(api_client):
"""Test patch user"""
resp = api_client.users.update(
"01BRMT958T3DW02ZAYDG7N6QCB",
uid='user1',
email='user@example.com',
profile=dict(image_small="image4.jpg")
)
assert json.loads(resp.request.body) == {
"uid": "user1",
"email": "user@example.com",
"profile": {
"image_small": "image4.jpg",
}
}
assert resp.status_code == 200
assert resp.json() == {
"id": 41,
"username": "01BRMT958T3DW02ZAYDG7N6QCB",
"profile": {
"name": "my name",
"image": "image1.jpg",
"image_small": "image4.jpg",
"image_medium": "image3.jpg"
}
}
def test_update_user_no_profile_props(api_client):
"""Updating with no args raises error"""
with pytest.raises(AttributeError) as err:
api_client.users.update("01BRMT958T3DW02ZAYDG7N6QCB")
assert str(err.value) == "No fields provided to update"
def test_update_user_invalid_profile_props(api_client):
"""Updating with invalid arg raises error"""
with pytest.raises(AttributeError) as err:
api_client.users.update("01BRMT958T3DW02ZAYDG7N6QCB", profile=dict(bad_arg=2))
assert str(err.value) == "Profile attribute bad_arg is not supported"
| 29.267176 | 86 | 0.581377 | 420 | 3,834 | 5.142857 | 0.202381 | 0.066667 | 0.051852 | 0.034722 | 0.7875 | 0.709722 | 0.709722 | 0.672685 | 0.640278 | 0.622222 | 0 | 0.04557 | 0.278821 | 3,834 | 130 | 87 | 29.492308 | 0.735624 | 0.075378 | 0 | 0.456311 | 0 | 0 | 0.273793 | 0.059446 | 0 | 0 | 0 | 0 | 0.135922 | 1 | 0.07767 | false | 0 | 0.019417 | 0 | 0.097087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b342d7a258555039d5bb6ec6c4d457addb008d7c | 415 | py | Python | tests/conftest.py | audacious-io/aiomeasures | 5c7c54da0f481ec82892ac77d4fc20ae81c41d58 | [
"MIT"
] | 6 | 2017-08-26T09:51:29.000Z | 2019-05-05T23:32:00.000Z | tests/conftest.py | audacious-io/aiomeasures | 5c7c54da0f481ec82892ac77d4fc20ae81c41d58 | [
"MIT"
] | 3 | 2018-04-11T16:43:16.000Z | 2019-01-05T17:52:38.000Z | tests/conftest.py | audacious-io/aiomeasures | 5c7c54da0f481ec82892ac77d4fc20ae81c41d58 | [
"MIT"
] | 7 | 2017-08-26T09:51:32.000Z | 2022-01-26T12:05:20.000Z | # debug asyncio
import os
import os.path
import sys
import logging
import warnings
from pytest import fixture
from subprocess import Popen, PIPE
from time import sleep
os.environ['PYTHONASYNCIODEBUG'] = '1'
# logging.basicConfig(level=logging.DEBUG)
warnings.simplefilter("always")
warnings.filterwarnings('ignore', '.*sys.meta_path is empty.*')
warnings.filterwarnings('ignore', '.*deprecated.*', module='site')
| 24.411765 | 66 | 0.778313 | 52 | 415 | 6.192308 | 0.596154 | 0.049689 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002674 | 0.098795 | 415 | 16 | 67 | 25.9375 | 0.858289 | 0.13012 | 0 | 0 | 0 | 0 | 0.226257 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
b3642863d3607917dd28041210682c33bef82c9b | 53 | py | Python | alphad3m/alphad3m/__init__.py | VIDA-NYU/alphad3m | db40193a448300d87442c451f9da17fa5cb845fd | [
"Apache-2.0"
] | null | null | null | alphad3m/alphad3m/__init__.py | VIDA-NYU/alphad3m | db40193a448300d87442c451f9da17fa5cb845fd | [
"Apache-2.0"
] | null | null | null | alphad3m/alphad3m/__init__.py | VIDA-NYU/alphad3m | db40193a448300d87442c451f9da17fa5cb845fd | [
"Apache-2.0"
] | null | null | null | __version__ = '0.23.0.dev0'
from .api import AutoML
| 13.25 | 27 | 0.716981 | 9 | 53 | 3.777778 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 0.150943 | 53 | 3 | 28 | 17.666667 | 0.644444 | 0 | 0 | 0 | 0 | 0 | 0.207547 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
2fb13fae4825a42b3db4d2d45d893ef57bf59586 | 1,536 | py | Python | others/regularizers.py | booleangabs/Machine-Learning-With-Numpy | 6a493c67979290e0a1d03cc8fb97f78448bd2156 | [
"MIT"
] | null | null | null | others/regularizers.py | booleangabs/Machine-Learning-With-Numpy | 6a493c67979290e0a1d03cc8fb97f78448bd2156 | [
"MIT"
] | null | null | null | others/regularizers.py | booleangabs/Machine-Learning-With-Numpy | 6a493c67979290e0a1d03cc8fb97f78448bd2156 | [
"MIT"
] | null | null | null | # Native
# Site-packages
import numpy as np
# Locals
class Regularizer:
def __init__(self):
pass
def __call__(self):
raise NotImplementedError()
def grad(self):
raise NotImplementedError()
class Placeholder(Regularizer):
def __call__(self, X: np.array) -> float:
return 0
def grad(self, X: np.array) -> np.array:
return np.zeros(X.shape[0])
class L1(Regularizer):
def __init__(self, lambda_: float):
self.lambda_ = lambda_
def __call__(self, X: np.array) -> float:
X_norm = np.abs(X).sum()
return self.lambda_ * X_norm
def grad(self, X: np.array) -> np.array:
return self.lambda_ * np.sign(X)
class L2(Regularizer):
def __init__(self, omega_: float):
self.omega_ = omega_
def __call__(self, X: np.array) -> float:
X_norm_squared = np.linalg.norm(X) ** 2
return self.omega_ * X_norm_squared
def grad(self, X: np.array) -> np.array:
return 2 * self.omega_ * X
class ElasticNet(Regularizer):
def __init__(self, lambda_1: float, lambda_2: float):
self.l1 = L1(1)
self.l2 = L2(1)
self.alpha = lambda_2 / (lambda_1 + lambda_2)
def __call__(self, X: np.array) -> float:
return self.alpha * self.l2(X) + (1 - self.alpha) * self.l1(X)
def grad(self, X: np.array) -> np.array:
return self.alpha * self.l2.grad(X) + (1 - self.alpha) * self.l1.grad(X) | 26.482759 | 80 | 0.57487 | 207 | 1,536 | 3.990338 | 0.193237 | 0.101695 | 0.067797 | 0.116223 | 0.447942 | 0.348668 | 0.307506 | 0.307506 | 0.234867 | 0.087167 | 0 | 0.021336 | 0.298177 | 1,536 | 58 | 80 | 26.482759 | 0.744898 | 0.017578 | 0 | 0.263158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.368421 | false | 0.026316 | 0.026316 | 0.157895 | 0.736842 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
2fbf35e3c1e0032485bd78d2d595e16bd8cf42d7 | 241 | py | Python | randThought/main.py | anokata/pythonPetProjects | 245c3ff11ae560b17830970061d8d60013948fd7 | [
"MIT"
] | 3 | 2017-04-30T17:44:53.000Z | 2018-02-03T06:02:11.000Z | randThought/main.py | anokata/pythonPetProjects | 245c3ff11ae560b17830970061d8d60013948fd7 | [
"MIT"
] | 10 | 2021-03-18T20:17:19.000Z | 2022-03-11T23:14:19.000Z | randThought/main.py | anokata/pythonPetProjects | 245c3ff11ae560b17830970061d8d60013948fd7 | [
"MIT"
] | null | null | null | from google_images_download import google_images_download
response = google_images_download.googleimagesdownload()
arguments = {"keywords":"Cat,pussy,beatch","limit":1,"print_urls":False}
paths = response.download(arguments)
print(paths)
| 30.125 | 72 | 0.813278 | 29 | 241 | 6.517241 | 0.62069 | 0.190476 | 0.31746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004464 | 0.070539 | 241 | 7 | 73 | 34.428571 | 0.839286 | 0 | 0 | 0 | 0 | 0 | 0.161826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.4 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2fe277fb0f96e1a38f17edf9d8154996798a69a0 | 89 | py | Python | contests/atcoder/abc042/a.py | conao3/coder | 2cdb610fec013da88a3470d460108e8a9b462445 | [
"CC0-1.0"
] | null | null | null | contests/atcoder/abc042/a.py | conao3/coder | 2cdb610fec013da88a3470d460108e8a9b462445 | [
"CC0-1.0"
] | null | null | null | contests/atcoder/abc042/a.py | conao3/coder | 2cdb610fec013da88a3470d460108e8a9b462445 | [
"CC0-1.0"
] | null | null | null | lst = sorted(list(map(int, input().split())))
print('YES' if lst == [5, 5, 7] else 'NO')
| 29.666667 | 45 | 0.573034 | 16 | 89 | 3.1875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039474 | 0.146067 | 89 | 2 | 46 | 44.5 | 0.631579 | 0 | 0 | 0 | 0 | 0 | 0.05618 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
2fea835d79d521e2232665ab25e998ec866c8470 | 450 | py | Python | markdown_it/common/entities.py | wna-se/markdown-it-py | a7e3d3b436a00f3303aab03f81ba32de53a3ba71 | [
"MIT"
] | null | null | null | markdown_it/common/entities.py | wna-se/markdown-it-py | a7e3d3b436a00f3303aab03f81ba32de53a3ba71 | [
"MIT"
] | null | null | null | markdown_it/common/entities.py | wna-se/markdown-it-py | a7e3d3b436a00f3303aab03f81ba32de53a3ba71 | [
"MIT"
] | null | null | null | """HTML5 entities map: { name -> characters }."""
import html
class _Entities:
def __getattr__(self, name):
try:
return DATA[name]
except KeyError:
raise AttributeError(name)
def __getitem__(self, name):
return DATA[name]
def __contains__(self, name):
return name in DATA
entities = _Entities()
DATA = {name.rstrip(";"): chars for name, chars in html.entities.html5.items()}
| 20.454545 | 79 | 0.615556 | 51 | 450 | 5.156863 | 0.490196 | 0.091255 | 0.106464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006079 | 0.268889 | 450 | 21 | 80 | 21.428571 | 0.793313 | 0.095556 | 0 | 0.153846 | 0 | 0 | 0.002494 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.076923 | 0.153846 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
2feb058436344716b8bb46a22dc94e1408d44abd | 86 | py | Python | scrape_commodities.py | kominetz/elite-tools | 5cefef9b45027b10479ccef8bdcdc94914245c43 | [
"Apache-2.0"
] | 2 | 2020-08-17T17:23:58.000Z | 2020-08-17T17:38:48.000Z | scrape_commodities.py | kominetz/elite-tools | 5cefef9b45027b10479ccef8bdcdc94914245c43 | [
"Apache-2.0"
] | 30 | 2020-05-06T16:25:10.000Z | 2021-12-25T15:08:31.000Z | scrape_commodities.py | kominetz/elite-tools | 5cefef9b45027b10479ccef8bdcdc94914245c43 | [
"Apache-2.0"
] | null | null | null | from elitetools import eddb
x = eddb.load_rt_listings()
print(x)
print('---', len(x)) | 17.2 | 27 | 0.697674 | 14 | 86 | 4.142857 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116279 | 86 | 5 | 28 | 17.2 | 0.763158 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
64174c3e6e5bafd652bd08a0daf2e438ba2e462e | 487 | py | Python | ays_api/Repository.py | Jumpscale/g8cockpit | 5e9ede183f77fec4adff9cd038567173b68677f0 | [
"Apache-2.0"
] | null | null | null | ays_api/Repository.py | Jumpscale/g8cockpit | 5e9ede183f77fec4adff9cd038567173b68677f0 | [
"Apache-2.0"
] | 332 | 2016-05-24T10:51:45.000Z | 2021-09-08T12:28:50.000Z | ays_api/Repository.py | Jumpscale/g8cockpit | 5e9ede183f77fec4adff9cd038567173b68677f0 | [
"Apache-2.0"
] | 1 | 2016-08-02T07:52:49.000Z | 2016-08-02T07:52:49.000Z |
from flask_wtf import Form
from wtforms.validators import DataRequired, Length, Regexp, NumberRange, required
from wtforms import TextField, FormField, IntegerField, FloatField, FileField, BooleanField, DateField, FieldList
from .input_validators import multiple_of
class Repository(Form):
name = TextField(validators=[DataRequired(message="Name must be specified")])
path = TextField()
git_url = TextField(validators=[DataRequired(message="Git URL must be specified")])
| 37.461538 | 113 | 0.790554 | 56 | 487 | 6.803571 | 0.589286 | 0.057743 | 0.16273 | 0.199475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125257 | 487 | 12 | 114 | 40.583333 | 0.894366 | 0 | 0 | 0 | 0 | 0 | 0.096708 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
641dc9588152402a1d2dae4bae6721487ed98a49 | 295 | py | Python | tests/urls.py | narnikgamarnikus/django-url-shorter | dcea9f77af951ec3cfc41fbbc4bab951ccab7f41 | [
"MIT"
] | null | null | null | tests/urls.py | narnikgamarnikus/django-url-shorter | dcea9f77af951ec3cfc41fbbc4bab951ccab7f41 | [
"MIT"
] | null | null | null | tests/urls.py | narnikgamarnikus/django-url-shorter | dcea9f77af951ec3cfc41fbbc4bab951ccab7f41 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, absolute_import
from django.conf.urls import url, include
from url_shorter.urls import urlpatterns as url_shorter_urls
urlpatterns = [
url(r'^shorter/', include((url_shorter_urls, 'url_shorter'), namespace='url_shorter'))
] | 29.5 | 90 | 0.762712 | 40 | 295 | 5.3 | 0.475 | 0.235849 | 0.198113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003846 | 0.118644 | 295 | 10 | 91 | 29.5 | 0.811538 | 0.071186 | 0 | 0 | 0 | 0 | 0.113553 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 3 |
642198b13f402b986497d99f0bb0f3f9e3e5c71b | 80 | py | Python | xclim/testing/tests/data.py | aaronspring/xclim | 393797308a581428c229920a3b0933c8243cd03a | [
"Apache-2.0"
] | 169 | 2018-09-14T21:14:40.000Z | 2022-03-29T14:27:06.000Z | xclim/testing/tests/data.py | raquel-ucl/xclim | 6102e542e6e08072a60879d6200f9340207cd50e | [
"Apache-2.0"
] | 950 | 2018-08-23T16:13:17.000Z | 2022-03-28T19:30:59.000Z | xclim/testing/tests/data.py | raquel-ucl/xclim | 6102e542e6e08072a60879d6200f9340207cd50e | [
"Apache-2.0"
] | 35 | 2018-12-04T21:12:10.000Z | 2022-03-04T20:38:07.000Z | from pathlib import Path
__all__ = ["TD"]
TD = Path(__file__).parent / "data"
| 13.333333 | 35 | 0.675 | 11 | 80 | 4.181818 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 80 | 5 | 36 | 16 | 0.69697 | 0 | 0 | 0 | 0 | 0 | 0.075 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
642555d2c65adac3ad8474fb7d84758a34753cb0 | 309 | py | Python | tests/plugins/test_auftanken.py | nickersk/streamlink-27 | 95c47866a741d32f6c4ca153b6eff908abadfbe4 | [
"BSD-2-Clause"
] | 5 | 2020-12-26T18:57:59.000Z | 2022-03-09T15:10:39.000Z | tests/plugins/test_auftanken.py | nickersk/streamlink-27 | 95c47866a741d32f6c4ca153b6eff908abadfbe4 | [
"BSD-2-Clause"
] | 2 | 2021-06-09T14:13:58.000Z | 2021-09-27T19:14:46.000Z | tests/plugins/test_auftanken.py | nickersk/streamlink-27 | 95c47866a741d32f6c4ca153b6eff908abadfbe4 | [
"BSD-2-Clause"
] | 6 | 2021-02-12T10:24:25.000Z | 2022-01-01T13:08:49.000Z | from streamlink.plugins.auftanken import AuftankenTV
from tests.plugins import PluginCanHandleUrl
class TestPluginCanHandleUrlAuftankenTV(PluginCanHandleUrl):
__plugin__ = AuftankenTV
should_match = [
"https://www.auftanken.tv/livestream/",
"https://auftanken.tv/livestream",
]
| 25.75 | 60 | 0.747573 | 27 | 309 | 8.37037 | 0.62963 | 0.097345 | 0.185841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161812 | 309 | 11 | 61 | 28.090909 | 0.872587 | 0 | 0 | 0 | 0 | 0 | 0.216828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.625 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
642c7e0390ec256795c7b91abb5837944f1462ad | 265 | py | Python | setup.py | eliasz-1/currencyConverter | 3202a9821af1e8493d395c75e2646e2b70304f61 | [
"MIT"
] | 4 | 2019-10-05T12:27:26.000Z | 2021-06-11T12:19:11.000Z | setup.py | eliasz-1/currencyConverter | 3202a9821af1e8493d395c75e2646e2b70304f61 | [
"MIT"
] | 5 | 2019-10-05T06:25:54.000Z | 2021-06-29T05:06:34.000Z | setup.py | eliasz-1/currencyConverter | 3202a9821af1e8493d395c75e2646e2b70304f61 | [
"MIT"
] | 13 | 2019-10-05T07:04:54.000Z | 2021-12-17T14:42:57.000Z | from distutils.core import setup
setup(name='currencyConverter',
version='1.0',
description='Convert between currencies',
author='Sachin Tripathi',
url='https://github.com/snifhex/currencyConverter',
py_modules=['converter'],
)
| 26.5 | 57 | 0.671698 | 27 | 265 | 6.555556 | 0.925926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009346 | 0.192453 | 265 | 9 | 58 | 29.444444 | 0.817757 | 0 | 0 | 0 | 0 | 0 | 0.430189 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.125 | 0 | 0.125 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
643bc1f8e3707c7746cf42d0440b7fe939c695b3 | 27 | py | Python | katas/beta/how_many_times_does_it_contain.py | the-zebulan/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 40 | 2016-03-09T12:26:20.000Z | 2022-03-23T08:44:51.000Z | katas/beta/how_many_times_does_it_contain.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | null | null | null | katas/beta/how_many_times_does_it_contain.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | string_counter = str.count
| 13.5 | 26 | 0.814815 | 4 | 27 | 5.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 27 | 1 | 27 | 27 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ff37f1bece99c8c7ffef981b275267931aff9802 | 213 | py | Python | Chapter10/default_dict_example.py | kaushalkumarshah/Learn-Python-in-7-Days | 2663656767c8959ace836f0c0e272f3e501bbe6e | [
"MIT"
] | 12 | 2018-07-09T16:20:31.000Z | 2022-03-21T22:52:15.000Z | Chapter10/default_dict_example.py | kaushalkumarshah/Learn-Python-in-7-Days | 2663656767c8959ace836f0c0e272f3e501bbe6e | [
"MIT"
] | null | null | null | Chapter10/default_dict_example.py | kaushalkumarshah/Learn-Python-in-7-Days | 2663656767c8959ace836f0c0e272f3e501bbe6e | [
"MIT"
] | 19 | 2018-01-09T12:49:06.000Z | 2021-11-23T08:05:55.000Z | from collections import defaultdict
def func():
return "Cricket"
game = defaultdict(func)
game["A"]= "Football"
game["B"] = "Badminton"
print game
print game["A"]
print game["B"]
print game["C"] | 15.214286 | 36 | 0.643192 | 28 | 213 | 4.892857 | 0.535714 | 0.262774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.197183 | 213 | 14 | 37 | 15.214286 | 0.80117 | 0 | 0 | 0 | 0 | 0 | 0.144279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.1 | null | null | 0.4 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ff726a3c0e7466e6dcfe89ee04c9486d7d92e286 | 457 | py | Python | model/gif_info.py | smwsk/gif-python | 29e606ee28d22049f34ff0cddb9f4ef1f6edc676 | [
"Apache-2.0"
] | 2 | 2020-03-16T13:28:28.000Z | 2020-03-17T13:47:58.000Z | model/gif_info.py | smwsk/gif-python | 29e606ee28d22049f34ff0cddb9f4ef1f6edc676 | [
"Apache-2.0"
] | null | null | null | model/gif_info.py | smwsk/gif-python | 29e606ee28d22049f34ff0cddb9f4ef1f6edc676 | [
"Apache-2.0"
] | null | null | null | from sqlalchemy import *
from sqlalchemy.ext.declarative import declarative_base
from model.base_model import BaseModel
Base = declarative_base()
class gifInfo(Base, BaseModel):
__tablename__ = 'gif_info'
_db_name = 'gif'
tid = Column(BigInteger, primary_key=True)
name = Column(String(128))
description = Column(String(255))
home_url = Column(String(128))
video_url = Column(String(128))
template_url = Column(String(128))
| 30.466667 | 55 | 0.730853 | 58 | 457 | 5.517241 | 0.5 | 0.1875 | 0.1875 | 0.16875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03937 | 0.166302 | 457 | 14 | 56 | 32.642857 | 0.800525 | 0 | 0 | 0 | 0 | 0 | 0.024123 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.923077 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
ff8521c26fc34007f9642340c26ab4ca9e0fb794 | 1,159 | py | Python | api/beers/migrations/0006_auto_20201208_1931.py | haavardnk/Vinmonopolet-x-Untappd | 950db7201593d7b94daf091884949aed4377d4ca | [
"MIT"
] | null | null | null | api/beers/migrations/0006_auto_20201208_1931.py | haavardnk/Vinmonopolet-x-Untappd | 950db7201593d7b94daf091884949aed4377d4ca | [
"MIT"
] | null | null | null | api/beers/migrations/0006_auto_20201208_1931.py | haavardnk/Vinmonopolet-x-Untappd | 950db7201593d7b94daf091884949aed4377d4ca | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2020-12-08 18:31
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('beers', '0005_auto_20201208_1856'),
]
operations = [
migrations.AlterField(
model_name='beer',
name='picture',
field=models.TextField(blank=True, null=True, validators=[django.core.validators.URLValidator()]),
),
migrations.AlterField(
model_name='beer',
name='undappd_url',
field=models.TextField(blank=True, null=True, validators=[django.core.validators.URLValidator()]),
),
migrations.AlterField(
model_name='beer',
name='vinmonopolet_url',
field=models.TextField(blank=True, null=True, validators=[django.core.validators.URLValidator()]),
),
migrations.AlterField(
model_name='sitesetting',
name='url',
field=models.TextField(blank=True, null=True, validators=[django.core.validators.URLValidator()]),
),
]
| 33.114286 | 111 | 0.594478 | 111 | 1,159 | 6.126126 | 0.387387 | 0.073529 | 0.147059 | 0.170588 | 0.683824 | 0.683824 | 0.629412 | 0.629412 | 0.629412 | 0.629412 | 0 | 0.037215 | 0.281277 | 1,159 | 34 | 112 | 34.088235 | 0.779112 | 0.038827 | 0 | 0.535714 | 1 | 0 | 0.081633 | 0.021336 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4418df428a253871184bf3c05d21d02761f463d1 | 275 | py | Python | batch/batch/__main__.py | zietzm/hail | 6c5d5379472a47b27b860151996f0067dbad2610 | [
"MIT"
] | null | null | null | batch/batch/__main__.py | zietzm/hail | 6c5d5379472a47b27b860151996f0067dbad2610 | [
"MIT"
] | null | null | null | batch/batch/__main__.py | zietzm/hail | 6c5d5379472a47b27b860151996f0067dbad2610 | [
"MIT"
] | null | null | null | from aiohttp import web
from hailtop.config import get_deploy_config
from gear import configure_logging
from .batch import app
configure_logging()
deploy_config = get_deploy_config()
web.run_app(deploy_config.prefix_application(app, 'batch'), host='0.0.0.0', port=5000)
| 21.153846 | 86 | 0.803636 | 43 | 275 | 4.906977 | 0.465116 | 0.227488 | 0.14218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03252 | 0.105455 | 275 | 12 | 87 | 22.916667 | 0.825203 | 0 | 0 | 0 | 0 | 0 | 0.043636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
4422c12ffa5c333f33e3ae90327a1eba3f298163 | 3,679 | py | Python | fastccd_support_ioc/utils/python2-version/getFClkStatus.py | lbl-camera/fastccd_support_ioc | 80b3820744e9aec7923af6adec0a66a0c51b2c21 | [
"BSD-3-Clause"
] | null | null | null | fastccd_support_ioc/utils/python2-version/getFClkStatus.py | lbl-camera/fastccd_support_ioc | 80b3820744e9aec7923af6adec0a66a0c51b2c21 | [
"BSD-3-Clause"
] | 1 | 2020-08-07T22:22:25.000Z | 2020-08-07T22:22:25.000Z | fastccd_support_ioc/utils/python2-version/getFClkStatus.py | lbl-camera/fastccd_support_ioc | 80b3820744e9aec7923af6adec0a66a0c51b2c21 | [
"BSD-3-Clause"
] | 1 | 2021-02-08T22:06:05.000Z | 2021-02-08T22:06:05.000Z | #! /usr/bin/python
# -*- coding: utf-8 -*-
import cin_constants
import cin_register_map
import cin_functions
import time
# def getFCLK():
print
" "
print
"**** CIN FCLK Configuration ****\n"
regval = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_WR)
print
" FCLK OSC MUX SELECT : 0x" + regval[4:]
if (regval[4:5] == "F"):
# Freeze DCO
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B189", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
if (reg_val[6:] != "08"): print
" Status Reg : 0x" + reg_val[6:]
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B107", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val7 = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B108", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val8 = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B109", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val9 = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B10A", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val10 = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B10B", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val11 = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
cin_functions.WriteReg(cin_register_map.REG_FCLK_I2C_ADDRESS, "B10C", 0)
cin_functions.WriteReg(cin_register_map.REG_FRM_COMMAND, cin_register_map.CMD_FCLK_COMMIT, 0)
reg_val12 = cin_functions.ReadReg(cin_register_map.REG_FCLK_I2C_DATA_RD)
bin_reg7 = bin(int(reg_val7[6:], 16))[2:].zfill(8)
bin_reg8 = bin(int(reg_val8[6:], 16))[2:].zfill(8)
# print bin_reg7[0:3]
if (bin_reg7[0:3] == "000"): print
" FCLK HS Divider = 4"
if (bin_reg7[0:3] == "001"): print
" FCLK HS Divider = 5"
if (bin_reg7[0:3] == "010"): print
" FCLK HS Divider = 6"
if (bin_reg7[0:3] == "011"): print
" FCLK HS Divider = 7"
bin_n1 = bin_reg7[3:8] + bin_reg8[0:2]
dec_n1 = int(bin_n1, 2)
if (dec_n1 % 2 != 0): dec_n1 = dec_n1 + 1
print
" FCLK N1 Divider = " + str(dec_n1)
print
" FCLK RFREQ = " + reg_val8[7:] + reg_val9[6:7] + "." + reg_val9[7:] + reg_val10[6:] + reg_val11[6:] + reg_val12[
6:]
if (bin_reg7[0:3] == "000" and dec_n1 == 8): print
" FCLK Frequency = 156 MHz"
elif (bin_reg7[0:3] == "000" and dec_n1 == 10): print
" FCLK Frequency = 125 MHz"
elif (bin_reg7[0:3] == "001" and dec_n1 == 4): print
" FCLK Frequency = 250 MHz"
elif (bin_reg7[0:3] == "011" and dec_n1 == 4): print
" FCLK Frequency = 200 MHz"
else: print
" FCLK Frequency UNKNOWN "
elif (str(int(regval[4:5]) & 1110) == "2"):
print
" FCLK Frequency = 250 MHz"
elif (str(int(regval[4:5]) & 1110) == "6"): print
" FCLK Frequency = 200 MHz"
elif (str(int(regval[4:5]) & 1110) == "A"): print
" FCLK Frequency = 125 MHz"
time.sleep(0.1)
| 39.138298 | 118 | 0.683881 | 586 | 3,679 | 3.94198 | 0.158703 | 0.142857 | 0.181818 | 0.161905 | 0.729004 | 0.674459 | 0.634632 | 0.601732 | 0.562771 | 0.562771 | 0 | 0.073888 | 0.187007 | 3,679 | 93 | 119 | 39.55914 | 0.698429 | 0.023104 | 0 | 0.267606 | 0 | 0 | 0.129284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.056338 | null | null | 0.253521 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
443d3433902f90f40401caa6e1c496e6e14d4356 | 136 | py | Python | python/27-find_nemo.py | kevinbeirne1/udemy_master_coding_interview | 44f082d4bb5e65a5f39347b82df97859b79cf8cc | [
"MIT"
] | null | null | null | python/27-find_nemo.py | kevinbeirne1/udemy_master_coding_interview | 44f082d4bb5e65a5f39347b82df97859b79cf8cc | [
"MIT"
] | null | null | null | python/27-find_nemo.py | kevinbeirne1/udemy_master_coding_interview | 44f082d4bb5e65a5f39347b82df97859b79cf8cc | [
"MIT"
] | null | null | null | def find_nemo(array):
for item in array:
if item == 'nemo':
print('found NEMO')
nemo = ['nemo']
find_nemo(nemo) | 19.428571 | 31 | 0.558824 | 19 | 136 | 3.894737 | 0.526316 | 0.324324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.294118 | 136 | 7 | 32 | 19.428571 | 0.770833 | 0 | 0 | 0 | 0 | 0 | 0.131387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.166667 | 0.166667 | 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 | 0 | 0 | 3 |
444c03128f0e92e8e47449187a196f3078f0a27e | 139 | py | Python | ospbackend/loco/locohook/urls.py | sammacorpy/News-analysis | 31b6ef790889ae43e7e0f64b11c64739b135377b | [
"BSD-3-Clause"
] | 3 | 2019-07-17T15:25:36.000Z | 2019-07-17T17:14:34.000Z | ospbackend/loco/locohook/urls.py | sammacorpy/News-analysis | 31b6ef790889ae43e7e0f64b11c64739b135377b | [
"BSD-3-Clause"
] | 8 | 2020-09-04T19:33:03.000Z | 2022-03-02T03:43:50.000Z | ospbackend/loco/locohook/urls.py | sammacorpy/News-analysis | 31b6ef790889ae43e7e0f64b11c64739b135377b | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('postnews', views.postnews),
]
| 17.375 | 37 | 0.741007 | 18 | 139 | 5.722222 | 0.555556 | 0.194175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165468 | 139 | 7 | 38 | 19.857143 | 0.887931 | 0 | 0 | 0 | 0 | 0 | 0.057554 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
4458e2ee58d9a67351e5fe3092749475ed76f18f | 82 | py | Python | examples/3/echonl.0.py | ekohilas/comp2041_plpy | 54ab21eaba1b11814cd683ba4a5b18f329561cff | [
"MIT"
] | 2 | 2018-05-28T06:19:37.000Z | 2019-02-28T19:48:18.000Z | examples/3/echonl.0.py | ekohilas/comp2041_plpy | 54ab21eaba1b11814cd683ba4a5b18f329561cff | [
"MIT"
] | null | null | null | examples/3/echonl.0.py | ekohilas/comp2041_plpy | 54ab21eaba1b11814cd683ba4a5b18f329561cff | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3.5 -u
import sys
for arg in sys.argv[1:]:
print(arg)
| 13.666667 | 29 | 0.646341 | 16 | 82 | 3.3125 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044118 | 0.170732 | 82 | 5 | 30 | 16.4 | 0.735294 | 0.341463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
4459ae086c95dfa244cb8f9183879540ef3fa5f4 | 26,907 | py | Python | src/mbed_cloud/_backends/statistics/models/metric.py | GQMai/mbed-cloud-sdk-python | 76ef009903415f37f69dcc5778be8f5fb14c08fe | [
"Apache-2.0"
] | 12 | 2017-12-28T11:18:43.000Z | 2020-10-04T12:11:15.000Z | src/mbed_cloud/_backends/statistics/models/metric.py | GQMai/mbed-cloud-sdk-python | 76ef009903415f37f69dcc5778be8f5fb14c08fe | [
"Apache-2.0"
] | 50 | 2017-12-21T12:50:41.000Z | 2020-01-13T16:07:08.000Z | src/mbed_cloud/_backends/statistics/models/metric.py | GQMai/mbed-cloud-sdk-python | 76ef009903415f37f69dcc5778be8f5fb14c08fe | [
"Apache-2.0"
] | 8 | 2018-04-25T17:47:29.000Z | 2019-08-29T06:38:27.000Z | # coding: utf-8
"""
Connect Statistics API
Connect Statistics API provides statistics about other cloud services through defined counters.
OpenAPI spec version: 3
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class Metric(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'bootstraps_failed': 'int',
'bootstraps_pending': 'int',
'bootstraps_successful': 'int',
'connect_rest_api_error': 'int',
'connect_rest_api_success': 'int',
'deleted_registrations': 'int',
'device_observations': 'int',
'device_proxy_request_error': 'int',
'device_proxy_request_success': 'int',
'device_subscription_request_error': 'int',
'device_subscription_request_success': 'int',
'expired_registrations': 'int',
'full_registrations': 'int',
'handshakes_successful': 'int',
'id': 'str',
'registration_updates': 'int',
'timestamp': 'datetime',
'transactions': 'int'
}
attribute_map = {
'bootstraps_failed': 'bootstraps_failed',
'bootstraps_pending': 'bootstraps_pending',
'bootstraps_successful': 'bootstraps_successful',
'connect_rest_api_error': 'connect_rest_api_error',
'connect_rest_api_success': 'connect_rest_api_success',
'deleted_registrations': 'deleted_registrations',
'device_observations': 'device_observations',
'device_proxy_request_error': 'device_proxy_request_error',
'device_proxy_request_success': 'device_proxy_request_success',
'device_subscription_request_error': 'device_subscription_request_error',
'device_subscription_request_success': 'device_subscription_request_success',
'expired_registrations': 'expired_registrations',
'full_registrations': 'full_registrations',
'handshakes_successful': 'handshakes_successful',
'id': 'id',
'registration_updates': 'registration_updates',
'timestamp': 'timestamp',
'transactions': 'transactions'
}
def __init__(self, bootstraps_failed=None, bootstraps_pending=None, bootstraps_successful=None, connect_rest_api_error=None, connect_rest_api_success=None, deleted_registrations=None, device_observations=None, device_proxy_request_error=None, device_proxy_request_success=None, device_subscription_request_error=None, device_subscription_request_success=None, expired_registrations=None, full_registrations=None, handshakes_successful=None, id=None, registration_updates=None, timestamp=None, transactions=None):
"""
Metric - a model defined in Swagger
"""
self._bootstraps_failed = bootstraps_failed
self._bootstraps_pending = bootstraps_pending
self._bootstraps_successful = bootstraps_successful
self._connect_rest_api_error = connect_rest_api_error
self._connect_rest_api_success = connect_rest_api_success
self._deleted_registrations = deleted_registrations
self._device_observations = device_observations
self._device_proxy_request_error = device_proxy_request_error
self._device_proxy_request_success = device_proxy_request_success
self._device_subscription_request_error = device_subscription_request_error
self._device_subscription_request_success = device_subscription_request_success
self._expired_registrations = expired_registrations
self._full_registrations = full_registrations
self._handshakes_successful = handshakes_successful
self._id = id
self._registration_updates = registration_updates
self._timestamp = timestamp
self._transactions = transactions
self.discriminator = None
@property
def bootstraps_failed(self):
"""
Gets the bootstraps_failed of this Metric.
The number of failed bootstraps the account has performed. Bootstrap is the process of provisioning a Lightweight Machine to Machine Client to a state where it can initiate a management session to a new Lightweight Machine to Machine Server.
:return: The bootstraps_failed of this Metric.
:rtype: int
"""
return self._bootstraps_failed
@bootstraps_failed.setter
def bootstraps_failed(self, bootstraps_failed):
"""
Sets the bootstraps_failed of this Metric.
The number of failed bootstraps the account has performed. Bootstrap is the process of provisioning a Lightweight Machine to Machine Client to a state where it can initiate a management session to a new Lightweight Machine to Machine Server.
:param bootstraps_failed: The bootstraps_failed of this Metric.
:type: int
"""
self._bootstraps_failed = bootstraps_failed
@property
def bootstraps_pending(self):
"""
Gets the bootstraps_pending of this Metric.
The number of pending bootstraps the account has performed. Bootstrap is the process of provisioning a Lightweight Machine to Machine Client to a state where it can initiate a management session to a new Lightweight Machine to Machine Server.
:return: The bootstraps_pending of this Metric.
:rtype: int
"""
return self._bootstraps_pending
@bootstraps_pending.setter
def bootstraps_pending(self, bootstraps_pending):
"""
Sets the bootstraps_pending of this Metric.
The number of pending bootstraps the account has performed. Bootstrap is the process of provisioning a Lightweight Machine to Machine Client to a state where it can initiate a management session to a new Lightweight Machine to Machine Server.
:param bootstraps_pending: The bootstraps_pending of this Metric.
:type: int
"""
self._bootstraps_pending = bootstraps_pending
@property
def bootstraps_successful(self):
"""
Gets the bootstraps_successful of this Metric.
The number of successful bootstraps the account has performed. Bootstrap is the process of provisioning a Lightweight Machine to Machine Client to a state where it can initiate a management session to a new Lightweight Machine to Machine Server.
:return: The bootstraps_successful of this Metric.
:rtype: int
"""
return self._bootstraps_successful
@bootstraps_successful.setter
def bootstraps_successful(self, bootstraps_successful):
"""
Sets the bootstraps_successful of this Metric.
The number of successful bootstraps the account has performed. Bootstrap is the process of provisioning a Lightweight Machine to Machine Client to a state where it can initiate a management session to a new Lightweight Machine to Machine Server.
:param bootstraps_successful: The bootstraps_successful of this Metric.
:type: int
"""
self._bootstraps_successful = bootstraps_successful
@property
def connect_rest_api_error(self):
"""
Gets the connect_rest_api_error of this Metric.
The number of failed [Connect API](/docs/current/service-api-references/connect-api.html) requests the account has performed.The metric do not consider the actual response from the device and it includes only the result of the HTTP request used to subscibe to the device resources.
:return: The connect_rest_api_error of this Metric.
:rtype: int
"""
return self._connect_rest_api_error
@connect_rest_api_error.setter
def connect_rest_api_error(self, connect_rest_api_error):
"""
Sets the connect_rest_api_error of this Metric.
The number of failed [Connect API](/docs/current/service-api-references/connect-api.html) requests the account has performed.The metric do not consider the actual response from the device and it includes only the result of the HTTP request used to subscibe to the device resources.
:param connect_rest_api_error: The connect_rest_api_error of this Metric.
:type: int
"""
self._connect_rest_api_error = connect_rest_api_error
@property
def connect_rest_api_success(self):
"""
Gets the connect_rest_api_success of this Metric.
The number of successful [Connect API](/docs/current/service-api-references/connect-api.html) requests the account has performed. The metric do not consider the actual response from the device and it includes only the result of the HTTP request used to subscibe to the device resources.
:return: The connect_rest_api_success of this Metric.
:rtype: int
"""
return self._connect_rest_api_success
@connect_rest_api_success.setter
def connect_rest_api_success(self, connect_rest_api_success):
"""
Sets the connect_rest_api_success of this Metric.
The number of successful [Connect API](/docs/current/service-api-references/connect-api.html) requests the account has performed. The metric do not consider the actual response from the device and it includes only the result of the HTTP request used to subscibe to the device resources.
:param connect_rest_api_success: The connect_rest_api_success of this Metric.
:type: int
"""
self._connect_rest_api_success = connect_rest_api_success
@property
def deleted_registrations(self):
"""
Gets the deleted_registrations of this Metric.
The number of deleted registrations (deregistrations) linked to the account. Deregistration is the process of removing the device registration from the Device Management Connect registry. The deregistration is usually initiated by the device. Device Management Connect no longer handles requests for a deregistered device.
:return: The deleted_registrations of this Metric.
:rtype: int
"""
return self._deleted_registrations
@deleted_registrations.setter
def deleted_registrations(self, deleted_registrations):
"""
Sets the deleted_registrations of this Metric.
The number of deleted registrations (deregistrations) linked to the account. Deregistration is the process of removing the device registration from the Device Management Connect registry. The deregistration is usually initiated by the device. Device Management Connect no longer handles requests for a deregistered device.
:param deleted_registrations: The deleted_registrations of this Metric.
:type: int
"""
self._deleted_registrations = deleted_registrations
@property
def device_observations(self):
"""
Gets the device_observations of this Metric.
**(Beta)** The number of observations received by Device Management Connect from the devices linked to the account. The observations are pushed from the device to Device Management Connect when you have successfully subscribed to the device resources using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:return: The device_observations of this Metric.
:rtype: int
"""
return self._device_observations
@device_observations.setter
def device_observations(self, device_observations):
"""
Sets the device_observations of this Metric.
**(Beta)** The number of observations received by Device Management Connect from the devices linked to the account. The observations are pushed from the device to Device Management Connect when you have successfully subscribed to the device resources using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:param device_observations: The device_observations of this Metric.
:type: int
"""
self._device_observations = device_observations
@property
def device_proxy_request_error(self):
"""
Gets the device_proxy_request_error of this Metric.
**(Beta)** The number of failed proxy requests from Device Management Connect to devices linked to the account. The proxy requests are made from Mbed Cloud Connect to devices when you try to read or write values to device resources using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:return: The device_proxy_request_error of this Metric.
:rtype: int
"""
return self._device_proxy_request_error
@device_proxy_request_error.setter
def device_proxy_request_error(self, device_proxy_request_error):
"""
Sets the device_proxy_request_error of this Metric.
**(Beta)** The number of failed proxy requests from Device Management Connect to devices linked to the account. The proxy requests are made from Mbed Cloud Connect to devices when you try to read or write values to device resources using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:param device_proxy_request_error: The device_proxy_request_error of this Metric.
:type: int
"""
self._device_proxy_request_error = device_proxy_request_error
@property
def device_proxy_request_success(self):
"""
Gets the device_proxy_request_success of this Metric.
**(Beta)** The number of successful proxy requests from Device Management Connect to devices linked to the account. The proxy requests are made from Mbed Cloud Connect to devices when you try to read or write values to device resources using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:return: The device_proxy_request_success of this Metric.
:rtype: int
"""
return self._device_proxy_request_success
@device_proxy_request_success.setter
def device_proxy_request_success(self, device_proxy_request_success):
"""
Sets the device_proxy_request_success of this Metric.
**(Beta)** The number of successful proxy requests from Device Management Connect to devices linked to the account. The proxy requests are made from Mbed Cloud Connect to devices when you try to read or write values to device resources using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:param device_proxy_request_success: The device_proxy_request_success of this Metric.
:type: int
"""
self._device_proxy_request_success = device_proxy_request_success
@property
def device_subscription_request_error(self):
"""
Gets the device_subscription_request_error of this Metric.
**(Beta)** The number of failed subscription requests from Device Management Connect to devices linked to the account. The subscription requests are made from Device Management Connect to devices when you try to subscribe to a resource path using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:return: The device_subscription_request_error of this Metric.
:rtype: int
"""
return self._device_subscription_request_error
@device_subscription_request_error.setter
def device_subscription_request_error(self, device_subscription_request_error):
"""
Sets the device_subscription_request_error of this Metric.
**(Beta)** The number of failed subscription requests from Device Management Connect to devices linked to the account. The subscription requests are made from Device Management Connect to devices when you try to subscribe to a resource path using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:param device_subscription_request_error: The device_subscription_request_error of this Metric.
:type: int
"""
self._device_subscription_request_error = device_subscription_request_error
@property
def device_subscription_request_success(self):
"""
Gets the device_subscription_request_success of this Metric.
**(Beta)** The number of successful subscription requests from Device Management Connect to devices linked to the account. The subscription requests are made from Device Management Connect to devices when you try to subscribe to a resource path using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:return: The device_subscription_request_success of this Metric.
:rtype: int
"""
return self._device_subscription_request_success
@device_subscription_request_success.setter
def device_subscription_request_success(self, device_subscription_request_success):
"""
Sets the device_subscription_request_success of this Metric.
**(Beta)** The number of successful subscription requests from Device Management Connect to devices linked to the account. The subscription requests are made from Device Management Connect to devices when you try to subscribe to a resource path using [Connect API](/docs/current/service-api-references/mbed-cloud-connect.html) endpoints.
:param device_subscription_request_success: The device_subscription_request_success of this Metric.
:type: int
"""
self._device_subscription_request_success = device_subscription_request_success
@property
def expired_registrations(self):
"""
Gets the expired_registrations of this Metric.
The number of expired registrations linked to the account. Device Management Connect removes the device registrations when the devices cannot update their registration before the expiry of the lifetime. Device Management Connect no longer handles requests for a device whose registration has expired already.
:return: The expired_registrations of this Metric.
:rtype: int
"""
return self._expired_registrations
@expired_registrations.setter
def expired_registrations(self, expired_registrations):
"""
Sets the expired_registrations of this Metric.
The number of expired registrations linked to the account. Device Management Connect removes the device registrations when the devices cannot update their registration before the expiry of the lifetime. Device Management Connect no longer handles requests for a device whose registration has expired already.
:param expired_registrations: The expired_registrations of this Metric.
:type: int
"""
self._expired_registrations = expired_registrations
@property
def full_registrations(self):
"""
Gets the full_registrations of this Metric.
The number of full registrations linked to the account. Full registration is the process of registering a device with Device Management Connect by providing its lifetime and capabilities such as the resource structure.The registered status of the device does not guarantee that the device is active and accessible from Device Management Connect at any point of time.
:return: The full_registrations of this Metric.
:rtype: int
"""
return self._full_registrations
@full_registrations.setter
def full_registrations(self, full_registrations):
"""
Sets the full_registrations of this Metric.
The number of full registrations linked to the account. Full registration is the process of registering a device with Device Management Connect by providing its lifetime and capabilities such as the resource structure.The registered status of the device does not guarantee that the device is active and accessible from Device Management Connect at any point of time.
:param full_registrations: The full_registrations of this Metric.
:type: int
"""
self._full_registrations = full_registrations
@property
def handshakes_successful(self):
"""
Gets the handshakes_successful of this Metric.
The number of successful TLS handshakes the account has performed. The SSL or TLS handshake enables the SSL or TLS client and server to establish the secret keys with which they communicate. A successful TLS handshake is required for establishing a connection with Device Management Connect for any operaton such as registration, registration update and deregistration.
:return: The handshakes_successful of this Metric.
:rtype: int
"""
return self._handshakes_successful
@handshakes_successful.setter
def handshakes_successful(self, handshakes_successful):
"""
Sets the handshakes_successful of this Metric.
The number of successful TLS handshakes the account has performed. The SSL or TLS handshake enables the SSL or TLS client and server to establish the secret keys with which they communicate. A successful TLS handshake is required for establishing a connection with Device Management Connect for any operaton such as registration, registration update and deregistration.
:param handshakes_successful: The handshakes_successful of this Metric.
:type: int
"""
self._handshakes_successful = handshakes_successful
@property
def id(self):
"""
Gets the id of this Metric.
A unique metric ID.
:return: The id of this Metric.
:rtype: str
"""
return self._id
@id.setter
def id(self, id):
"""
Sets the id of this Metric.
A unique metric ID.
:param id: The id of this Metric.
:type: str
"""
self._id = id
@property
def registration_updates(self):
"""
Gets the registration_updates of this Metric.
The number of registration updates linked to the account. Registration update is the process of updating the registration status with Device Management Connect to update or extend the lifetime of the device.
:return: The registration_updates of this Metric.
:rtype: int
"""
return self._registration_updates
@registration_updates.setter
def registration_updates(self, registration_updates):
"""
Sets the registration_updates of this Metric.
The number of registration updates linked to the account. Registration update is the process of updating the registration status with Device Management Connect to update or extend the lifetime of the device.
:param registration_updates: The registration_updates of this Metric.
:type: int
"""
self._registration_updates = registration_updates
@property
def timestamp(self):
"""
Gets the timestamp of this Metric.
UTC time in RFC3339 format. The timestamp is the starting point of the interval for which the data is aggregated. Each interval includes data for the time greater than or equal to the timestamp and less than the next interval's starting point.
:return: The timestamp of this Metric.
:rtype: datetime
"""
return self._timestamp
@timestamp.setter
def timestamp(self, timestamp):
"""
Sets the timestamp of this Metric.
UTC time in RFC3339 format. The timestamp is the starting point of the interval for which the data is aggregated. Each interval includes data for the time greater than or equal to the timestamp and less than the next interval's starting point.
:param timestamp: The timestamp of this Metric.
:type: datetime
"""
self._timestamp = timestamp
@property
def transactions(self):
"""
Gets the transactions of this Metric.
The number of transaction events from or to devices linked to the account. A transaction is a 512-byte block of data processed by Device Management. It can be either sent by the device (device --> mbed cloud) or received by the device (Device Management --> device). A transaction does not include IP, TCP or UDP, TLS or DTLS packet overhead. It only contains the packet payload (full CoAP packet including CoAP headers).
:return: The transactions of this Metric.
:rtype: int
"""
return self._transactions
@transactions.setter
def transactions(self, transactions):
"""
Sets the transactions of this Metric.
The number of transaction events from or to devices linked to the account. A transaction is a 512-byte block of data processed by Device Management. It can be either sent by the device (device --> mbed cloud) or received by the device (Device Management --> device). A transaction does not include IP, TCP or UDP, TLS or DTLS packet overhead. It only contains the packet payload (full CoAP packet including CoAP headers).
:param transactions: The transactions of this Metric.
:type: int
"""
self._transactions = transactions
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if not isinstance(other, Metric):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
| 47.538869 | 516 | 0.712528 | 3,354 | 26,907 | 5.543232 | 0.082588 | 0.023236 | 0.046472 | 0.01775 | 0.79787 | 0.730744 | 0.697235 | 0.679002 | 0.626506 | 0.569277 | 0 | 0.000918 | 0.230498 | 26,907 | 565 | 517 | 47.623009 | 0.89703 | 0.570372 | 0 | 0.277228 | 1 | 0 | 0.125398 | 0.080272 | 0 | 0 | 0 | 0 | 0 | 1 | 0.207921 | false | 0 | 0.014851 | 0 | 0.356436 | 0.004951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4466720b5dbe42fd45f61cb31cceee9fd6eeb3c3 | 92 | py | Python | classes/main.py | karan1276/learning-python | 9f0791370fbdf9e1d5b94ef874f8eb403d34c22c | [
"MIT"
] | null | null | null | classes/main.py | karan1276/learning-python | 9f0791370fbdf9e1d5b94ef874f8eb403d34c22c | [
"MIT"
] | null | null | null | classes/main.py | karan1276/learning-python | 9f0791370fbdf9e1d5b94ef874f8eb403d34c22c | [
"MIT"
] | null | null | null | from rationalFolder import rationalFile
ra = rationalFile.rational("karan")
ra.printName()
| 18.4 | 39 | 0.804348 | 10 | 92 | 7.4 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097826 | 92 | 4 | 40 | 23 | 0.891566 | 0 | 0 | 0 | 0 | 0 | 0.054348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
9220ae8329563a8d5d3a501e362783adedb503d4 | 956 | py | Python | katas/kata10.py | cesarau04/metodosnumericos | 9670c91d5c659d2bfb1b95e85c437e6deed9ec28 | [
"MIT"
] | null | null | null | katas/kata10.py | cesarau04/metodosnumericos | 9670c91d5c659d2bfb1b95e85c437e6deed9ec28 | [
"MIT"
] | null | null | null | katas/kata10.py | cesarau04/metodosnumericos | 9670c91d5c659d2bfb1b95e85c437e6deed9ec28 | [
"MIT"
] | null | null | null | # 7x^1 - 2x^2 + 1x^3 + 2x^4 = 3
# 2x^1 + 8x^2 + 3x^3 + 1x^4 = -2
# -1x^1 + 0x^2 + 5x^3 + 2x^4 = 5
# 0x^1 + 2x^2 - 1x^3 + 4x^4 = 4
def getX1(x2,x3,x4):
return (3+2*x2-x3-2*x4)/7
def getX2(x1,x3,x4):
return (-2-2*x1-3*x3-x4)/8
def getX3(x1,x2,x4):
return (5+x1-2*x4)/5
def getX4(x1,x2,x3):
return (4-2*x2+x3)/4
x1=0
x2=0
x3=0
x4=0
#error=0.00001
x1a = 0.00001
x2a = 0.00001
x3a = 0.00001
x4a = 0.00001
for i in range(5):
x1 = getX1(x2,x3, x4)
x2 = getX2(x1,x3, x4)
x3 = getX3(x1,x2, x4)
x4 = getX4(x1,x2, x3)
#print("VALUES {0}{1}{2}{3}".format(x1,x2,x3,x4))
ex1 = abs((x1a-x1)/x1a)
ex2 = abs((x2a-x2)/x2a)
ex3 = abs((x3a-x3)/x3a)
ex4 = abs((x4a-x4)/x4a)
#if ex1 < error and ex2 < error and ex3 < error:
#break
x1a = x1
x2a = x2
x3a = x3
x4a = x4
print("FINAL: {0}\t{1}\t{2}\t{3}".format(x1,x2,x3,x4))
print("Errores: {0}\t{1}\t{2}\t{3}".format(ex1,ex2,ex3,ex4))
| 19.510204 | 60 | 0.521967 | 209 | 956 | 2.38756 | 0.239234 | 0.064128 | 0.048096 | 0.024048 | 0.126253 | 0.098196 | 0.052104 | 0.052104 | 0 | 0 | 0 | 0.262069 | 0.241632 | 956 | 48 | 61 | 19.916667 | 0.426207 | 0.25 | 0 | 0 | 0 | 0 | 0.07355 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0 | 0 | 0.129032 | 0.258065 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
9230a452e0a9c8a0f7ab9f045e08c05edac942e6 | 2,838 | py | Python | python/apsis/host_group.py | alexhsamuel/apsis | 7a038a39e5002637b60f73147728b4cc53692da3 | [
"BSD-3-Clause"
] | 1 | 2021-06-03T15:35:31.000Z | 2021-06-03T15:35:31.000Z | python/apsis/host_group.py | alexhsamuel/apsis | 7a038a39e5002637b60f73147728b4cc53692da3 | [
"BSD-3-Clause"
] | 93 | 2018-08-17T20:32:09.000Z | 2022-03-23T17:34:37.000Z | python/apsis/host_group.py | alexhsamuel/apsis | 7a038a39e5002637b60f73147728b4cc53692da3 | [
"BSD-3-Clause"
] | null | null | null | """
Designation of host(s) to run on.
"""
import random
from .lib.json import TypedJso
from .runs import template_expand
#-------------------------------------------------------------------------------
class HostGroup(TypedJso):
TYPE_NAMES = TypedJso.TypeNames()
def __init__(self, hosts):
self.__hosts = tuple(hosts)
assert all( isinstance(h, str) for h in self.__hosts )
@classmethod
def from_jso(cls, jso):
# Accept a single host or a list of hosts.
return (
SingleHost(jso) if isinstance(jso, str)
else RandomHostGroup(jso) if isinstance(jso, list)
else TypedJso.from_jso.__func__(cls, jso)
)
@property
def hosts(self):
return self.__hosts
def bind(self, args):
hosts = tuple( template_expand(a, args) for a in self.__hosts )
return type(self)(hosts)
class SingleHost(HostGroup):
"""
Single fixed host.
"""
def __init__(self, host):
super().__init__([host])
@property
def host(self):
return self.hosts[0]
@classmethod
def from_jso(cls, jso):
# Special case: just use the host.
return cls(jso.pop("host"))
def to_jso(self):
return self.host
def choose(self):
return self.host
class RoundRobinHostGroup(HostGroup):
"""
A round-robin cycle of hosts.
"""
def __init__(self, hosts):
super().__init__(hosts)
self.__index = 0
@classmethod
def from_jso(cls, jso):
return cls(jso.pop("hosts"))
def to_jso(self):
return {
**super().to_jso(),
"hosts": self.hosts,
}
def choose(self):
host = self.hosts[self.__index]
self.__index = (self.__index + 1) % len(self.hosts)
return host
class RandomHostGroup(HostGroup):
"""
A list of hosts to choose from at random with replacement.
"""
@classmethod
def from_jso(cls, jso):
return cls(jso.pop("hosts"))
def to_jso(self):
return {
**super().to_jso(),
"hosts": self.hosts,
}
def choose(self):
return random.choice(self.hosts)
# Aliases.
HostGroup.TYPE_NAMES.set(SingleHost, "single")
HostGroup.TYPE_NAMES.set(RoundRobinHostGroup, "round-robin")
HostGroup.TYPE_NAMES.set(RandomHostGroup, "random")
#-------------------------------------------------------------------------------
def config_host_groups(cfg):
cfg["host_groups"] = {
n: HostGroup.from_jso(g)
for n, g in cfg.get("host_groups", {}).items()
}
def expand_host(host, cfg):
host_groups = cfg["host_groups"]
try:
host_group = host_groups[host]
except KeyError:
return host
else:
return host_group.choose()
| 19.306122 | 80 | 0.557787 | 327 | 2,838 | 4.636086 | 0.256881 | 0.077177 | 0.047493 | 0.055409 | 0.183377 | 0.171504 | 0.153694 | 0.134565 | 0.134565 | 0.134565 | 0 | 0.001459 | 0.275546 | 2,838 | 146 | 81 | 19.438356 | 0.735895 | 0.134954 | 0 | 0.38961 | 0 | 0 | 0.033389 | 0 | 0 | 0 | 0 | 0 | 0.012987 | 1 | 0.233766 | false | 0 | 0.038961 | 0.142857 | 0.532468 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
92324cfe7c0da23724efef34085eeb3bd4591406 | 690 | py | Python | problems/p0029/s29.py | ahrarmonsur/euler | 4174790637806521a4ea2973abeb76c96c64a782 | [
"MIT"
] | 1 | 2017-12-19T21:18:48.000Z | 2017-12-19T21:18:48.000Z | problems/p0029/s29.py | ahrarmonsur/euler | 4174790637806521a4ea2973abeb76c96c64a782 | [
"MIT"
] | null | null | null | problems/p0029/s29.py | ahrarmonsur/euler | 4174790637806521a4ea2973abeb76c96c64a782 | [
"MIT"
] | null | null | null | # coding=utf-8
"""
Project Euler Problem 29
Distinct powers
Solved by Ahrar Monsur
Consider all integer combinations of a^b for 2 ≤ a ≤ 5 and 2 ≤ b ≤ 5:
2^2=4, 2^3=8, 2^4=16, 2^5=32
3^2=9, 3^3=27, 3^4=81, 3^5=243
4^2=16, 4^3=64, 4^4=256, 4^5=1024
5^2=25, 5^3=125, 5^4=625, 5^5=3125
If they are then placed in numerical order, with any repeats removed, we get the following sequence of 15 distinct terms:
4, 8, 9, 16, 25, 27, 32, 64, 81, 125, 243, 256, 625, 1024, 3125
How many distinct terms are in the sequence generated by ab for 2 ≤ a ≤ 100 and 2 ≤ b ≤ 100?
"""
import itertools as its
val_range = xrange(2, 101)
print len(set([a**b for a, b in its.product(val_range, repeat=2)]))
| 28.75 | 121 | 0.669565 | 163 | 690 | 2.871166 | 0.472393 | 0.017094 | 0.021368 | 0.025641 | 0.059829 | 0 | 0 | 0 | 0 | 0 | 0 | 0.224599 | 0.186957 | 690 | 23 | 122 | 30 | 0.595365 | 0.017391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
92357a159e001e20d841fcf8883ac9f524b3e5d3 | 84 | py | Python | 21.funcoes_python/10.sem_print_e_sem_return.py | robinson-1985/python-zero-dnc | df510d67e453611fcd320df1397cdb9ca47fecb8 | [
"MIT"
] | null | null | null | 21.funcoes_python/10.sem_print_e_sem_return.py | robinson-1985/python-zero-dnc | df510d67e453611fcd320df1397cdb9ca47fecb8 | [
"MIT"
] | null | null | null | 21.funcoes_python/10.sem_print_e_sem_return.py | robinson-1985/python-zero-dnc | df510d67e453611fcd320df1397cdb9ca47fecb8 | [
"MIT"
] | null | null | null | # criando função sem print e sem return
def erro(x=10, y=10):
x+y
print(erro()) | 16.8 | 39 | 0.654762 | 17 | 84 | 3.235294 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059701 | 0.202381 | 84 | 5 | 40 | 16.8 | 0.761194 | 0.440476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
923eac3a18ee39aa7b944e920f8455c6693406fe | 904 | py | Python | Python/PYHTON/IF/UDM1 - IF.py | ccpn1988/Python | 94c84aa6f3ef9d05d64c3d87212dfd67694f4544 | [
"MIT"
] | null | null | null | Python/PYHTON/IF/UDM1 - IF.py | ccpn1988/Python | 94c84aa6f3ef9d05d64c3d87212dfd67694f4544 | [
"MIT"
] | null | null | null | Python/PYHTON/IF/UDM1 - IF.py | ccpn1988/Python | 94c84aa6f3ef9d05d64c3d87212dfd67694f4544 | [
"MIT"
] | null | null | null | idade = int(input('Digite sua idade: '))
sexo = str(input('Digite o sexo M ou F: ')).upper()
#if idade > 18:
# print('Você já tem que pagar suas contas')
#elif idade == 18:
# print('Vai começar a se fuder agora')
#else:
# print('Pode deixar que os seus Pais pagam a conta.')
if sexo == 'M':
if idade >= 18:
print('Homem maior de idade')
else:
print('Homem menor de idade')
elif sexo == 'F':
if idade >= 18:
print('Mulher maior de idade')
else:
print('Mulher menor de idade')
else:
print('Sexo não definido')
print()
print('Testando IF de outra forma')
if idade >= 18:
if sexo == 'M':
print('Homem maior de idade')
else:
print('Mulher maior de idade')
elif idade < 18:
if sexo == 'M':
print('Homem menor de idade')
else:
print('Mulher menor de idade')
else:
print('Sexo não definido')
| 22.04878 | 57 | 0.581858 | 133 | 904 | 3.954887 | 0.353383 | 0.106464 | 0.125475 | 0.18251 | 0.51711 | 0.431559 | 0.410646 | 0.220532 | 0.220532 | 0.220532 | 0 | 0.018377 | 0.277655 | 904 | 40 | 58 | 22.6 | 0.787136 | 0.198009 | 0 | 0.785714 | 0 | 0 | 0.374652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.428571 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
927031ee72cf10236ecb33e0663cdaee0863f1d2 | 605 | py | Python | src/common_utils_data/data_statistic_func.py | Mi524/common_utils_data | 400baf3be1bc96a06bd1f3d70abaf8dd749cfb85 | [
"MIT"
] | null | null | null | src/common_utils_data/data_statistic_func.py | Mi524/common_utils_data | 400baf3be1bc96a06bd1f3d70abaf8dd749cfb85 | [
"MIT"
] | null | null | null | src/common_utils_data/data_statistic_func.py | Mi524/common_utils_data | 400baf3be1bc96a06bd1f3d70abaf8dd749cfb85 | [
"MIT"
] | null | null | null | import gc
import re
import sys
import warnings
import os
import time
from datetime import datetime
import warnings
import pandas as pd
import numpy as np
import hashlib
from collections import defaultdict,Counter
from .sequence_functions import list_diff_outer_join, lcs, filter_lcs
from .os_functions import *
from .df_functions import *
from .config_table import ConfigReader
from .excel_functions import write_format_columns
from .regex_functions import replace_re_special, replace_punctuations
from .decorator_functions import *
from .data_handle_func import *
| 25.208333 | 70 | 0.796694 | 82 | 605 | 5.658537 | 0.512195 | 0.193966 | 0.122845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17686 | 605 | 23 | 71 | 26.304348 | 0.931727 | 0 | 0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
927d7dbf6c5059614301b6d0f23a246e77753d3a | 270 | py | Python | Macros/Fixture Setup/Unload fixtures from selected channels.py | rec/dmxis | 540baa59df6f4ae39990e5888f90b95caa362279 | [
"Artistic-2.0"
] | 2 | 2019-05-26T15:11:18.000Z | 2021-12-27T21:05:32.000Z | Macros/Fixture Setup/Unload fixtures from selected channels.py | rec/DMXIS | 540baa59df6f4ae39990e5888f90b95caa362279 | [
"Artistic-2.0"
] | null | null | null | Macros/Fixture Setup/Unload fixtures from selected channels.py | rec/DMXIS | 540baa59df6f4ae39990e5888f90b95caa362279 | [
"Artistic-2.0"
] | null | null | null | #===============================================================
# DMXIS Macro (c) 2010 db audioware limited
#===============================================================
sel = GetAllSelCh(False)
if len(sel)>0:
for ch in sel:
RemoveFixture(ch) | 33.75 | 65 | 0.318519 | 20 | 270 | 4.3 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022026 | 0.159259 | 270 | 8 | 66 | 33.75 | 0.356828 | 0.622222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 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 | 3 |
92a25eccde9134bd2559c4e823c6d451102dda4b | 6,983 | py | Python | deep-rl/lib/python2.7/site-packages/OpenGL/raw/GL/ARB/vertex_shader.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 210 | 2016-04-09T14:26:00.000Z | 2022-03-25T18:36:19.000Z | deep-rl/lib/python2.7/site-packages/OpenGL/raw/GL/ARB/vertex_shader.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 72 | 2016-09-04T09:30:19.000Z | 2022-03-27T17:06:53.000Z | deep-rl/lib/python2.7/site-packages/OpenGL/raw/GL/ARB/vertex_shader.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 64 | 2016-04-09T14:26:49.000Z | 2022-03-21T11:19:47.000Z | '''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'GL_ARB_vertex_shader'
def _f( function ):
return _p.createFunction( function,_p.PLATFORM.GL,'GL_ARB_vertex_shader',error_checker=_errors._error_checker)
GL_CURRENT_VERTEX_ATTRIB_ARB=_C('GL_CURRENT_VERTEX_ATTRIB_ARB',0x8626)
GL_FLOAT=_C('GL_FLOAT',0x1406)
GL_FLOAT_MAT2_ARB=_C('GL_FLOAT_MAT2_ARB',0x8B5A)
GL_FLOAT_MAT3_ARB=_C('GL_FLOAT_MAT3_ARB',0x8B5B)
GL_FLOAT_MAT4_ARB=_C('GL_FLOAT_MAT4_ARB',0x8B5C)
GL_FLOAT_VEC2_ARB=_C('GL_FLOAT_VEC2_ARB',0x8B50)
GL_FLOAT_VEC3_ARB=_C('GL_FLOAT_VEC3_ARB',0x8B51)
GL_FLOAT_VEC4_ARB=_C('GL_FLOAT_VEC4_ARB',0x8B52)
GL_MAX_COMBINED_TEXTURE_IMAGE_UNITS_ARB=_C('GL_MAX_COMBINED_TEXTURE_IMAGE_UNITS_ARB',0x8B4D)
GL_MAX_TEXTURE_COORDS_ARB=_C('GL_MAX_TEXTURE_COORDS_ARB',0x8871)
GL_MAX_TEXTURE_IMAGE_UNITS_ARB=_C('GL_MAX_TEXTURE_IMAGE_UNITS_ARB',0x8872)
GL_MAX_VARYING_FLOATS_ARB=_C('GL_MAX_VARYING_FLOATS_ARB',0x8B4B)
GL_MAX_VERTEX_ATTRIBS_ARB=_C('GL_MAX_VERTEX_ATTRIBS_ARB',0x8869)
GL_MAX_VERTEX_TEXTURE_IMAGE_UNITS_ARB=_C('GL_MAX_VERTEX_TEXTURE_IMAGE_UNITS_ARB',0x8B4C)
GL_MAX_VERTEX_UNIFORM_COMPONENTS_ARB=_C('GL_MAX_VERTEX_UNIFORM_COMPONENTS_ARB',0x8B4A)
GL_OBJECT_ACTIVE_ATTRIBUTES_ARB=_C('GL_OBJECT_ACTIVE_ATTRIBUTES_ARB',0x8B89)
GL_OBJECT_ACTIVE_ATTRIBUTE_MAX_LENGTH_ARB=_C('GL_OBJECT_ACTIVE_ATTRIBUTE_MAX_LENGTH_ARB',0x8B8A)
GL_VERTEX_ATTRIB_ARRAY_ENABLED_ARB=_C('GL_VERTEX_ATTRIB_ARRAY_ENABLED_ARB',0x8622)
GL_VERTEX_ATTRIB_ARRAY_NORMALIZED_ARB=_C('GL_VERTEX_ATTRIB_ARRAY_NORMALIZED_ARB',0x886A)
GL_VERTEX_ATTRIB_ARRAY_POINTER_ARB=_C('GL_VERTEX_ATTRIB_ARRAY_POINTER_ARB',0x8645)
GL_VERTEX_ATTRIB_ARRAY_SIZE_ARB=_C('GL_VERTEX_ATTRIB_ARRAY_SIZE_ARB',0x8623)
GL_VERTEX_ATTRIB_ARRAY_STRIDE_ARB=_C('GL_VERTEX_ATTRIB_ARRAY_STRIDE_ARB',0x8624)
GL_VERTEX_ATTRIB_ARRAY_TYPE_ARB=_C('GL_VERTEX_ATTRIB_ARRAY_TYPE_ARB',0x8625)
GL_VERTEX_PROGRAM_POINT_SIZE_ARB=_C('GL_VERTEX_PROGRAM_POINT_SIZE_ARB',0x8642)
GL_VERTEX_PROGRAM_TWO_SIDE_ARB=_C('GL_VERTEX_PROGRAM_TWO_SIDE_ARB',0x8643)
GL_VERTEX_SHADER_ARB=_C('GL_VERTEX_SHADER_ARB',0x8B31)
@_f
@_p.types(None,_cs.GLhandleARB,_cs.GLuint,arrays.GLcharARBArray)
def glBindAttribLocationARB(programObj,index,name):pass
@_f
@_p.types(None,_cs.GLuint)
def glDisableVertexAttribArrayARB(index):pass
@_f
@_p.types(None,_cs.GLuint)
def glEnableVertexAttribArrayARB(index):pass
@_f
@_p.types(None,_cs.GLhandleARB,_cs.GLuint,_cs.GLsizei,arrays.GLsizeiArray,arrays.GLintArray,arrays.GLuintArray,arrays.GLcharARBArray)
def glGetActiveAttribARB(programObj,index,maxLength,length,size,type,name):pass
@_f
@_p.types(_cs.GLint,_cs.GLhandleARB,arrays.GLcharARBArray)
def glGetAttribLocationARB(programObj,name):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLenum,arrays.GLvoidpArray)
def glGetVertexAttribPointervARB(index,pname,pointer):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLenum,arrays.GLdoubleArray)
def glGetVertexAttribdvARB(index,pname,params):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLenum,arrays.GLfloatArray)
def glGetVertexAttribfvARB(index,pname,params):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLenum,arrays.GLintArray)
def glGetVertexAttribivARB(index,pname,params):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLdouble)
def glVertexAttrib1dARB(index,x):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLdoubleArray)
def glVertexAttrib1dvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLfloat)
def glVertexAttrib1fARB(index,x):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLfloatArray)
def glVertexAttrib1fvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLshort)
def glVertexAttrib1sARB(index,x):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLshortArray)
def glVertexAttrib1svARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLdouble,_cs.GLdouble)
def glVertexAttrib2dARB(index,x,y):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLdoubleArray)
def glVertexAttrib2dvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLfloat,_cs.GLfloat)
def glVertexAttrib2fARB(index,x,y):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLfloatArray)
def glVertexAttrib2fvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLshort,_cs.GLshort)
def glVertexAttrib2sARB(index,x,y):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLshortArray)
def glVertexAttrib2svARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLdouble,_cs.GLdouble,_cs.GLdouble)
def glVertexAttrib3dARB(index,x,y,z):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLdoubleArray)
def glVertexAttrib3dvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLfloat,_cs.GLfloat,_cs.GLfloat)
def glVertexAttrib3fARB(index,x,y,z):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLfloatArray)
def glVertexAttrib3fvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLshort,_cs.GLshort,_cs.GLshort)
def glVertexAttrib3sARB(index,x,y,z):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLshortArray)
def glVertexAttrib3svARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLbyteArray)
def glVertexAttrib4NbvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLintArray)
def glVertexAttrib4NivARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLshortArray)
def glVertexAttrib4NsvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLubyte,_cs.GLubyte,_cs.GLubyte,_cs.GLubyte)
def glVertexAttrib4NubARB(index,x,y,z,w):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLubyteArray)
def glVertexAttrib4NubvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLuintArray)
def glVertexAttrib4NuivARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLushortArray)
def glVertexAttrib4NusvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLbyteArray)
def glVertexAttrib4bvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLdouble,_cs.GLdouble,_cs.GLdouble,_cs.GLdouble)
def glVertexAttrib4dARB(index,x,y,z,w):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLdoubleArray)
def glVertexAttrib4dvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLfloat,_cs.GLfloat,_cs.GLfloat,_cs.GLfloat)
def glVertexAttrib4fARB(index,x,y,z,w):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLfloatArray)
def glVertexAttrib4fvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLintArray)
def glVertexAttrib4ivARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLshort,_cs.GLshort,_cs.GLshort,_cs.GLshort)
def glVertexAttrib4sARB(index,x,y,z,w):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLshortArray)
def glVertexAttrib4svARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLubyteArray)
def glVertexAttrib4ubvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLuintArray)
def glVertexAttrib4uivARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,arrays.GLushortArray)
def glVertexAttrib4usvARB(index,v):pass
@_f
@_p.types(None,_cs.GLuint,_cs.GLint,_cs.GLenum,_cs.GLboolean,_cs.GLsizei,ctypes.c_void_p)
def glVertexAttribPointerARB(index,size,type,normalized,stride,pointer):pass
| 39.230337 | 133 | 0.833023 | 1,101 | 6,983 | 4.871026 | 0.167121 | 0.017155 | 0.060041 | 0.092299 | 0.620175 | 0.559761 | 0.453291 | 0.399963 | 0.376841 | 0.37535 | 0 | 0.023242 | 0.038809 | 6,983 | 177 | 134 | 39.451977 | 0.775775 | 0.01432 | 0 | 0.410405 | 1 | 0 | 0.10893 | 0.084206 | 0 | 0 | 0.022688 | 0 | 0 | 1 | 0.271676 | false | 0.265896 | 0.034682 | 0.00578 | 0.312139 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
2b9026f52d56ee1150ffbd663898c834f45a1e8c | 81 | py | Python | v_2.0/lib/util/SlaveMaster.py | benalcazardiego/RFCV | fa50be8ed82d43c6e197deab1cfb67fa6d0dfdb1 | [
"MIT"
] | null | null | null | v_2.0/lib/util/SlaveMaster.py | benalcazardiego/RFCV | fa50be8ed82d43c6e197deab1cfb67fa6d0dfdb1 | [
"MIT"
] | null | null | null | v_2.0/lib/util/SlaveMaster.py | benalcazardiego/RFCV | fa50be8ed82d43c6e197deab1cfb67fa6d0dfdb1 | [
"MIT"
] | null | null | null | #Called when SMU is in List mode
class SlaveMaster:
SLAVE = 0
MASTER = 1
| 16.2 | 32 | 0.666667 | 13 | 81 | 4.153846 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.283951 | 81 | 4 | 33 | 20.25 | 0.896552 | 0.382716 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
2bc960c971550a2937b1bf20140df412b67493d6 | 71 | py | Python | scratch/pybox/inspect.py | quejebo/pyflow | 99718942f9ea4ac0ceacde17c8006068ef19f2c8 | [
"BSD-2-Clause"
] | 3 | 2019-05-29T23:01:51.000Z | 2020-02-20T21:36:55.000Z | scratch/pybox/inspect.py | quejebo/pyflow | 99718942f9ea4ac0ceacde17c8006068ef19f2c8 | [
"BSD-2-Clause"
] | null | null | null | scratch/pybox/inspect.py | quejebo/pyflow | 99718942f9ea4ac0ceacde17c8006068ef19f2c8 | [
"BSD-2-Clause"
] | 2 | 2020-10-31T00:49:40.000Z | 2021-04-28T18:56:40.000Z |
def f(x) :
return x + 2
import inspect
print inspect.getsource(f)
| 8.875 | 26 | 0.676056 | 12 | 71 | 4 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018182 | 0.225352 | 71 | 7 | 27 | 10.142857 | 0.854545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.25 | null | null | 0.25 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2bebed874723ac9e361eaaac465a8a0025089349 | 973 | py | Python | mgsa/tests/test_bio_distance.py | supernifty/mgsa | 5f950f8c9c2bf0439a100a2348f1aef478e32934 | [
"MIT"
] | 2 | 2016-11-02T20:27:00.000Z | 2019-10-23T08:14:44.000Z | mgsa/tests/test_bio_distance.py | supernifty/mgsa | 5f950f8c9c2bf0439a100a2348f1aef478e32934 | [
"MIT"
] | null | null | null | mgsa/tests/test_bio_distance.py | supernifty/mgsa | 5f950f8c9c2bf0439a100a2348f1aef478e32934 | [
"MIT"
] | null | null | null |
import unittest
import StringIO
import bio
class TestDistance( unittest.TestCase ):
def test_hamming( self ):
self.assertEqual( 0, bio.Distance( 'aa', 'aa' ).hamming() )
self.assertEqual( 1, bio.Distance( 'ba', 'aa' ).hamming() )
self.assertEqual( 1, bio.Distance( 'ba', 'bb' ).hamming() )
self.assertEqual( 2, bio.Distance( 'ba', 'ab' ).hamming() )
self.assertRaises(Exception, lambda: bio.Distance( 'b', 'ab' ).hamming() )
def test_simple_indel( self ):
self.assertEqual( 0, bio.Distance( 'aa', 'aa' ).simple_indel() )
self.assertEqual( -1, bio.Distance( 'aba', 'aa' ).simple_indel() )
self.assertEqual( 1, bio.Distance( 'ba', 'bab' ).simple_indel() )
self.assertEqual( -2, bio.Distance( 'baa', 'b' ).simple_indel() )
self.assertEqual( 1, bio.Distance( 'b', 'ab' ).simple_indel() )
self.assertEqual( 2, bio.Distance( 'b', 'aab' ).simple_indel() )
self.assertEqual( -1, bio.Distance( 'cca', 'ca' ).simple_indel() )
| 40.541667 | 78 | 0.637205 | 123 | 973 | 4.95935 | 0.260163 | 0.216393 | 0.172131 | 0.186885 | 0.660656 | 0.616393 | 0.613115 | 0.363934 | 0 | 0 | 0 | 0.013514 | 0.163412 | 973 | 23 | 79 | 42.304348 | 0.735872 | 0 | 0 | 0 | 0 | 0 | 0.050412 | 0 | 0 | 0 | 0 | 0 | 0.666667 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
920255dffe9e5543d68902b9a6e1b7362e22c067 | 191 | py | Python | coders/curso_python/estruturas_controle_projetos/exemplo_recursao.py | flaviogf/Cursos | 2b120dbcd24a907121f58482fdcdfa01b164872c | [
"MIT"
] | 2 | 2021-02-20T23:50:07.000Z | 2021-08-15T03:04:35.000Z | coders/curso_python/estruturas_controle_projetos/exemplo_recursao.py | flaviogf/Cursos | 2b120dbcd24a907121f58482fdcdfa01b164872c | [
"MIT"
] | 18 | 2019-08-07T02:33:00.000Z | 2021-03-18T22:52:38.000Z | coders/curso_python/estruturas_controle_projetos/exemplo_recursao.py | flaviogf/Cursos | 2b120dbcd24a907121f58482fdcdfa01b164872c | [
"MIT"
] | 2 | 2020-09-28T13:00:09.000Z | 2021-12-30T12:21:08.000Z | #!/usr/local/bin/python3
def imprime(maximo, atual):
if atual >= maximo:
return
print(atual)
imprime(maximo, atual + 1)
if __name__ == '__main__':
imprime(100, 1)
| 14.692308 | 30 | 0.60733 | 24 | 191 | 4.5 | 0.625 | 0.240741 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041958 | 0.251309 | 191 | 12 | 31 | 15.916667 | 0.713287 | 0.120419 | 0 | 0 | 0 | 0 | 0.047904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 0.142857 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
92074f0f885fa71aff752c1f4f9eee7ced8b4e7c | 726 | py | Python | backend/server/task/migrations/0002_auto_20210624_2110.py | munteanugabriel25/Javascript-Django-TodoList- | e3cb8d4a573dfbb84960839b7a01a24a195c7755 | [
"Unlicense"
] | null | null | null | backend/server/task/migrations/0002_auto_20210624_2110.py | munteanugabriel25/Javascript-Django-TodoList- | e3cb8d4a573dfbb84960839b7a01a24a195c7755 | [
"Unlicense"
] | null | null | null | backend/server/task/migrations/0002_auto_20210624_2110.py | munteanugabriel25/Javascript-Django-TodoList- | e3cb8d4a573dfbb84960839b7a01a24a195c7755 | [
"Unlicense"
] | null | null | null | # Generated by Django 3.2.4 on 2021-06-24 18:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('task', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='task',
name='deadline_time',
field=models.TimeField(blank=True, null=True),
),
migrations.AlterField(
model_name='task',
name='details',
field=models.CharField(max_length=250, null=True),
),
migrations.AlterField(
model_name='task',
name='location',
field=models.CharField(blank=True, max_length=100, null=True),
),
]
| 25.034483 | 74 | 0.563361 | 74 | 726 | 5.432432 | 0.554054 | 0.149254 | 0.186567 | 0.216418 | 0.31592 | 0.31592 | 0.223881 | 0.223881 | 0 | 0 | 0 | 0.050302 | 0.315427 | 726 | 28 | 75 | 25.928571 | 0.758551 | 0.061983 | 0 | 0.409091 | 1 | 0 | 0.082474 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ecf524722b2e8ba8a21541d8be9ea473fc8e8612 | 2,016 | py | Python | fold-1Script.py | tiffanyle/facedetection | 219f2137c8b6239bb31d8cd6f2ea9254c964a54b | [
"MIT"
] | null | null | null | fold-1Script.py | tiffanyle/facedetection | 219f2137c8b6239bb31d8cd6f2ea9254c964a54b | [
"MIT"
] | null | null | null | fold-1Script.py | tiffanyle/facedetection | 219f2137c8b6239bb31d8cd6f2ea9254c964a54b | [
"MIT"
] | null | null | null | count = 0
with open('fold_2_data.txt','r') as f:
content = f.readlines()
'''
print 'length', len(content)
for i in range(0,len(content)+1):
print "content", type(content[i])
arr = content[i].split()
#print "arr", arr
with open("facePaths-Test1.txt", "a") as myfile:
string = 'faces/'
string+=arr[0]
#print arr[0]
string+='/'
string+='coarse_tilt_aligned_face.'
string+=arr[2]
string+='.'
string+=arr[1]
string+='\n'
#print string
myfile.write(string)
'''
print 'length', len(content)
for i in range(0,len(content)+1):
print "content", type(content[i])
arr = content[i].split()
count = 0
#print "arr", arr
with open("facePaths-TrainLabels2.txt", "a") as myfile:
string = ''
if arr[5]=='m' or arr[4] == 'm':
label='1'+'\n'
myfile.write(label)
with open("facePaths-Train2.txt", "a") as myfile2:
string = 'faces/'
string+=arr[0]
#print arr[0]
string+='/'
string+='coarse_tilt_aligned_face.'
string+=arr[2]
string+='.'
string+=arr[1]
string+='\n'
#print string
myfile2.write(string)
elif arr[5] == 'f' or arr[4] == 'f':
label='2'+'\n'
myfile.write(label)
with open("facePaths-Train2.txt", "a") as myfile2:
string = 'faces/'
string+=arr[0]
#print arr[0]
string+='/'
string+='coarse_tilt_aligned_face.'
string+=arr[2]
string+='.'
string+=arr[1]
string+='\n'
#print string
myfile2.write(string)
else:
count+=1
print "COUNT**", count
pass
#print string
print "UNACCOUNTED FOR", count
| 28.394366 | 62 | 0.456845 | 222 | 2,016 | 4.099099 | 0.220721 | 0.089011 | 0.074725 | 0.065934 | 0.787912 | 0.754945 | 0.693407 | 0.693407 | 0.693407 | 0.693407 | 0 | 0.027642 | 0.389881 | 2,016 | 70 | 63 | 28.8 | 0.712195 | 0.037698 | 0 | 0.585366 | 0 | 0 | 0.138026 | 0.05245 | 0.04878 | 0 | 0 | 0 | 0 | 0 | null | null | 0.02439 | 0 | null | null | 0.097561 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ecf533bb8aa1e2125d02ca255560a8ea000a6f34 | 8,063 | py | Python | pyxus/pyxus/resources/entity.py | k-dominik/pyxus | 39fd9d51fafdcac05c46f143417f9790985c0e38 | [
"Apache-2.0"
] | null | null | null | pyxus/pyxus/resources/entity.py | k-dominik/pyxus | 39fd9d51fafdcac05c46f143417f9790985c0e38 | [
"Apache-2.0"
] | null | null | null | pyxus/pyxus/resources/entity.py | k-dominik/pyxus | 39fd9d51fafdcac05c46f143417f9790985c0e38 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018, EPFL/Human Brain Project PCO
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import hashlib
import json
import re
from pyld import jsonld
from pyxus.utils.turtle_schema_transformer import transform_turtle_to_jsonld_schema, transform_turtle_to_jsonld
class Entity(object):
def __init__(self, identifier, data, root_path):
self.id = identifier
self.data = data
self.root_path = root_path
self.path = None
self.build_path()
def build_path(self):
self.path = "{}/{}".format(self.root_path, self.id)
@staticmethod
def fully_qualify(data):
data = jsonld.expand(data)
data = jsonld.compact(data, {})
return data
def to_json(self):
return json.dumps(self.data, indent=4)
def get_checksum(self):
return hashlib.md5(json.dumps(self.data).encode("utf-8")).hexdigest()
def get_simplified_data(self):
return self._get_simplified_data(self.data)
def get_data(self, key, simplified=True):
if key in self.data:
return self._get_simplified_data(self.data[key]) if simplified else self.data[key]
elif simplified:
for k in self.data:
if re.match(".*?:" + key, k):
return self._get_simplified_data(self.data[k])
return None
@staticmethod
def _get_simplified_data(data):
if not isinstance(data, dict):
return data
simple = {}
for key in data:
if not key.startswith("@"):
new_key = re.sub(".*?:", "", key)
if isinstance(data[key], dict):
simple[new_key] = Entity._get_simplified_data(data[key])
else:
simple[new_key] = data[key]
return simple
def get_revision(self):
return self.data["nxv:rev"] if "nxv:rev" in self.data else None
def __str__(self):
return "{classname}: id={id}, path={path}, revision={revision}\ndata={data}".format(
classname=self.__class__.__name__,
id=self.id,
path=self.path,
revision=self.get_revision(),
data=self.data
)
extract_info = r"(?P<org>.*)/(?P<domain>.*)/(?P<schema>.*)/(?P<version>.*)/(?P<id>.*)"
def get_type(self):
return self.data["@type"]
def get_organization(self):
return re.match(r"(?P<org>.*?)(/.*)?$", self.id).group("org")
def get_domain(self):
return re.match(r".*?/(?P<domain>.*?)(/.*)?$", self.id).group("domain")
def get_schema(self):
return re.match(r".*?/.*?/(?P<schema>.*?)(/.*)?$", self.id).group("schema")
def get_version(self):
return re.match(r".*?/.*?/.*?/(?P<version>.*?)(/.*)?$", self.id).group("version")
def get_id(self):
return Entity.get_uuid_from_id(self.id)
@staticmethod
def get_uuid_from_id(identifier):
return re.match(r".*?/.*?/.*?/.*?/(?P<id>.*?)(/.*)?$", identifier).group("id")
@staticmethod
def extract_id_from_url(url, root_path):
regex = r"(?<={root_path}/).*?(?=(\?|$|#))".format(root_path=root_path)
r = re.search(regex, url)
if r is not None:
result = r.group(0)
if result.endswith('/'):
return result[:-1]
return result
raise ValueError("\"{url}\" is not applicable to {root_path}!".format(url=url, root_path=root_path))
def is_deprecated(self):
return self.data.get("nxv:deprecated") != False
def get_identifier(self):
if "http://schema.org/identifier" in self.data:
return self.data.get("http://schema.org/identifier")
return None
def get_self_link(self):
return self.data["@id"]
class Organization(Entity):
path = "/organizations"
@classmethod
def create_new(cls, name, description):
data = {
"@context": {
"schema2": "http://schema.org/"
},
"schema:name": name,
"schema:description": description
}
return Organization(name, data, Organization.path)
class Domain(Entity):
path = "/domains"
@staticmethod
def create_id(organization, domain):
return "{}/{}".format(organization, domain)
@classmethod
def create_new(cls, organization, domain, description):
data = {
'description': description
}
identifier = Domain.create_id(organization, domain)
return Domain(identifier, data, Domain.path)
class Schema(Entity):
path = "/schemas"
@staticmethod
def create_id(organization, domain, schema, version):
return "{}/{}/{}/{}".format(organization, domain, schema, version)
@classmethod
def create_new(cls, organization, domain, schema, version, content, is_turtle=False):
if is_turtle:
content = transform_turtle_to_jsonld_schema(content)
identifier = Schema.create_id(organization, domain, schema, version)
return Schema(identifier, content, Schema.path)
def is_published(self):
return self.data["nxv:published"] if "nxv:published" in self.data else False
class Instance(Entity):
path = "/data"
@staticmethod
def create_id(organization, domain, schema, version):
return "{}/{}/{}/{}".format(organization, domain, schema, version)
@classmethod
def create_new(cls, organization, domain, schema, version, content, is_turtle=False):
if is_turtle:
content = transform_turtle_to_jsonld(content)
if isinstance(content, list) and len(content) == 1:
content = content[0]
else:
raise ValueError("Can't handle multiple instances in same file!")
identifier = Instance.create_id(organization, domain, schema, version)
return Instance(identifier, content, Instance.path)
class Context(Entity):
path = "/contexts"
@staticmethod
def create_id(organization, domain, context, version):
return "{}/{}/{}/{}".format(organization, domain, context, version)
@classmethod
def create_new(cls, organization, domain, context, version, content):
identifier = Context.create_id(organization, domain, context, version)
return Context(identifier, content, Context.path)
def is_published(self):
return self.data["nxv:published"] if "nxv:published" in self.data else False
class SearchResultList(object):
def __init__(self, total, results, links):
self.total = total
self.results = results
self.links = links
def __str__(self):
return "{classname}: total={total}, first_entry=({first_entry})".format(
classname=self.__class__.__name__,
total=self.total,
first_entry=self.results[0] if self.results is not None and self.results else "no results"
)
def get_next_link(self):
return self.links["next"] if "next" in self.links else None
def get_previous_link(self):
return self.links["previous"] if "previous" in self.links else None
class SearchResult(object):
result_id = None
self_link = None
data = None
def __init__(self, result_dict):
self.data = result_dict
self.result_id = result_dict['resultId']
self.self_link = result_dict['source']['links']['self']
def __str__(self):
return 'result_id:{}, link:{}, data:{}'.format(self.result_id, self.self_link, self.data)
| 32.381526 | 111 | 0.61714 | 975 | 8,063 | 4.947692 | 0.188718 | 0.038143 | 0.026119 | 0.043118 | 0.309494 | 0.230929 | 0.203566 | 0.13495 | 0.124378 | 0.124378 | 0 | 0.002805 | 0.248295 | 8,063 | 248 | 112 | 32.512097 | 0.793103 | 0.072926 | 0 | 0.213483 | 0 | 0.005618 | 0.117442 | 0.038075 | 0 | 0 | 0 | 0 | 0 | 1 | 0.213483 | false | 0 | 0.02809 | 0.134831 | 0.55618 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
ecfca9897721ddb964f75b88453f10dd906ec876 | 162 | py | Python | health.getLiveness.py | moreati/ava-python | 4baa4c21dec7d31d0b6e3fcbe44ff5587cb85706 | [
"MIT"
] | null | null | null | health.getLiveness.py | moreati/ava-python | 4baa4c21dec7d31d0b6e3fcbe44ff5587cb85706 | [
"MIT"
] | null | null | null | health.getLiveness.py | moreati/ava-python | 4baa4c21dec7d31d0b6e3fcbe44ff5587cb85706 | [
"MIT"
] | null | null | null | # ava-python : A Python implementation of the AVA API
# Author: https://github.com/zefonseca/
# License MIT
import health
stt = health.getLiveness()
print(stt)
| 18 | 53 | 0.740741 | 23 | 162 | 5.217391 | 0.826087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 162 | 8 | 54 | 20.25 | 0.869565 | 0.623457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
a616342369aa0a56c3084a828aed9ef159b953f7 | 164 | py | Python | 2020-11-07/bobo.py | pufe/programa | 7f79566597446e9e39222e6c15fa636c3dd472bb | [
"MIT"
] | 2 | 2020-12-12T00:02:40.000Z | 2021-04-21T19:49:59.000Z | 2020-11-07/bobo.py | pufe/programa | 7f79566597446e9e39222e6c15fa636c3dd472bb | [
"MIT"
] | null | null | null | 2020-11-07/bobo.py | pufe/programa | 7f79566597446e9e39222e6c15fa636c3dd472bb | [
"MIT"
] | null | null | null | n = int(input())
votos = []
for i in range(n):
x = int(input())
votos.append(x)
if votos[0] >= max(votos):
print("S")
else:
print("N")
| 13.666667 | 27 | 0.481707 | 25 | 164 | 3.16 | 0.64 | 0.202532 | 0.329114 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008772 | 0.304878 | 164 | 11 | 28 | 14.909091 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0.013072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a6266c52c1824b254d2d71b771cdeb5e0ec78536 | 134 | py | Python | LABORATORIO 4/dwd.py | msolivera/Phyton | 1322fa2ff4bb06a17350fefa7e5268c0969e5b53 | [
"bzip2-1.0.6"
] | null | null | null | LABORATORIO 4/dwd.py | msolivera/Phyton | 1322fa2ff4bb06a17350fefa7e5268c0969e5b53 | [
"bzip2-1.0.6"
] | null | null | null | LABORATORIO 4/dwd.py | msolivera/Phyton | 1322fa2ff4bb06a17350fefa7e5268c0969e5b53 | [
"bzip2-1.0.6"
] | null | null | null | def ejercicio_1(cadena):
i=0
while cadena[i]== " ":
i+=1
return cadena[i:]
print (ejercicio_1("programacion_1"))
| 16.75 | 37 | 0.589552 | 19 | 134 | 4 | 0.526316 | 0.276316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049505 | 0.246269 | 134 | 7 | 38 | 19.142857 | 0.70297 | 0 | 0 | 0 | 0 | 0 | 0.112782 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.333333 | 0.166667 | 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 | 0 | 0 | 3 |
a6521238e7d28f8e844927f6999b3f825ce7734c | 382 | py | Python | 2018/aoc/d23/test.py | lukaselmer/adventofcode | b96ffc9040b63b338bca653830ba4ff7e90a8b2a | [
"MIT"
] | 1 | 2018-12-12T22:59:44.000Z | 2018-12-12T22:59:44.000Z | 2018/aoc/d23/test.py | lukaselmer/adventofcode | b96ffc9040b63b338bca653830ba4ff7e90a8b2a | [
"MIT"
] | null | null | null | 2018/aoc/d23/test.py | lukaselmer/adventofcode | b96ffc9040b63b338bca653830ba4ff7e90a8b2a | [
"MIT"
] | null | null | null | import unittest
from aoc.d23.main import best_position_distance, nanobots_in_radius
class TestCase(unittest.TestCase):
def test_nanobots_in_radius(self):
self.assertEqual(nanobots_in_radius("example-part-1"), 7)
def test_best_position(self):
self.assertEqual(best_position_distance("example-part-2"), 36)
if __name__ == "__main__":
unittest.main()
| 23.875 | 70 | 0.746073 | 51 | 382 | 5.176471 | 0.509804 | 0.136364 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021472 | 0.146597 | 382 | 15 | 71 | 25.466667 | 0.788344 | 0 | 0 | 0 | 0 | 0 | 0.094241 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.222222 | false | 0 | 0.222222 | 0 | 0.555556 | 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 | 0 | 1 | 0 | 0 | 3 |
a68cd7a4c0f3a98651c0317ccb39bd008ee4bc0e | 58,105 | py | Python | source/CorotationalBeamElement3D.py | Xinrui/CorotationalBeamSolver | 1f5341d533bb28520fc11968ac2bc3f4e9828583 | [
"MIT"
] | null | null | null | source/CorotationalBeamElement3D.py | Xinrui/CorotationalBeamSolver | 1f5341d533bb28520fc11968ac2bc3f4e9828583 | [
"MIT"
] | null | null | null | source/CorotationalBeamElement3D.py | Xinrui/CorotationalBeamSolver | 1f5341d533bb28520fc11968ac2bc3f4e9828583 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author: Xinrui Zhou
"""
from math import sin, cos
import numpy as np
import source.Utilities as util
class CorotationalBeamElement3D():
"""It is a class formulating three-dimensional corotational beam elements."""
def __init__(self, beamtype, youngs_modulus, poisson_ratio, width, height, initial_coordinate_node_1, initial_coordinate_node_2, element_id, e_2o, e_3o):
""" Initialize a 3D co-rotational beam element.
Parameters
----------
beamtype: str
the type of beam element, which can be Bernoulli or Timoshenko.
youngs_modulus: int/float
Young's modulus.
poisson_ratio: float
Poisson ratio, not interesting for Bernoulli elements.
width: int/float
width of the beam, perpendicular to local z-axis.
height: int/float
height of the beam, perpendicular to local y-axis.
initial_coordinate_node_1: numpy.ndarray
initial coordinate of the 1st node: [X1, Y1, Z1].T.
initial_coordinate_node_2: numpy.ndarray
initial coordinate of the 2nd node: [X2, Y2, Z2].T.
element_id: int
The number of the element in the system.
Returns
-------
None.
"""
self.initial_coordinate_node_1 = initial_coordinate_node_1
self.initial_coordinate_node_2 = initial_coordinate_node_2
self.beamtype = beamtype
self.youngs_modulus = youngs_modulus
self.poisson_ratio = poisson_ratio
self.width = width
self.height = height
self.e_2o = e_2o
self.e_3o = e_3o
self.initial_length = self.calculate_initial_length()
self.initial_local_frame = self.calculate_initial_local_frame()
self.first_lame_constant = self.calculate_first_lame_constant()
self.second_lame_constant = self.calculate_second_lame_constant()
self.bulk_modulus = self.calculate_bulk_modulus()
self.area = self.calculate_area()
self.moment_of_inertia_y = self.calculate_moment_of_inertia_y()
self.moment_of_inertia_z = self.calculate_moment_of_inertia_z()
self.polar_moment_of_inertia = self.calculate_polar_moment_of_inertia()
self.fourth_order_polar_moment_of_inertia = self.calculate_fourth_order_polar_moment_of_inertia()
self.current_orientation_node_1 = np.eye(3)
self.current_orientation_node_2 = np.eye(3)
self.analysis = "elastic"
self.global_displacement = np.zeros((12, 1), dtype=float)
self.element_freedom_table = np.linspace(
6 * element_id, 6 * element_id + 11, num=12, dtype=int)
def calculate_first_lame_constant(self):
""" Calculate the first lame constant λ.
Parameters
----------
None.
Returns
-------
the first lame constant: float
"""
return self.youngs_modulus * self.poisson_ratio / ((1 + self.poisson_ratio) * (1 - 2 * self.poisson_ratio))
def calculate_second_lame_constant(self):
""" Calculate the second lame constant μ.
Parameters
----------
None.
Returns
-------
the second lame constant: float
"""
return self.youngs_modulus / (2 * (1 + self.poisson_ratio))
def calculate_bulk_modulus(self):
""" Calculate the bulk modulus κ.
Parameters
----------
None.
Returns
-------
the bulk modulus: float
"""
return self.first_lame_constant + 2/3 * self.second_lame_constant
def calculate_area(self):
"""Calculate the cross-sectional area of the beam element.
Parameters
----------
None.
Returns
-------
the cross-sectional area: float
A = b * h
"""
return self.width * self.height
def calculate_moment_of_inertia_y(self):
"""Calculate the moment of inertia Iy / I33 of the beam element.
Parameters
----------
None.
Returns
-------
the moment of inertia Iy: float
I_y = 1/12 * b * h^3
"""
return 1/12 * self.width * (self.height) ** 3
def calculate_moment_of_inertia_z(self):
"""Calculate the moment of inertia Iz / I22 of the beam element.
Parameters
----------
None.
Returns
-------
the moment of inertia Iz: float
I_z = 1/12 * h * b^3
"""
return 1/12 * (self.width) ** 3 * self.height
def calculate_polar_moment_of_inertia(self):
"""Calculate the polar moment of inertia Io of the beam element.
Parameters
----------
None.
Returns
-------
the polar moment of inertia Io: float
I_o = 1/12 * (b^3 * h + b * h^3)
"""
return 1/12 * (self.width * (self.height) ** 3 + (self.width) ** 3 * self.height)
def calculate_fourth_order_polar_moment_of_inertia(self):
"""Calculate the 4th polar moment of inertia Irr of the beam element.
Parameters
----------
None.
Returns
-------
the 4th polar moment of inertia Irr: float
I_rr = b^5 * h / 80 + b^3 * h^3 / 72 + b * h^5 / 80
"""
return 1/80 * (self.width * (self.height) ** 5 + (self.width) ** 5 * self.height) + 1/72 * (self.width) ** 3 * (self.height) ** 3
def calculate_initial_local_frame(self):
"""Calculate the initial local frame Ro with defined e_2o / e_3o.
Parameters
----------
None.
Returns
-------
the initial local frame Ro.
"""
e_1o = (self.initial_coordinate_node_2 -
self.initial_coordinate_node_1) / self.initial_length
if type(self.e_3o) == np.ndarray:
e_2o = np.cross(self.e_3o, e_1o, axisa=0, axisb=0, axisc=0)
return np.c_[e_1o, e_2o, self.e_3o]
elif type(self.e_2o) == np.ndarray:
e_3o = np.cross(e_1o, self.e_2o, axisa=0, axisb=0, axisc=0)
return np.c_[e_1o, self.e_2o, e_3o]
else:
raise ValueError("Check the input of e2o and e3o!")
def calculate_initial_length(self):
"""Calculate the initial length of the beam element.
Parameters
----------
None.
Returns
-------
L: float
"""
return np.linalg.norm(self.initial_coordinate_node_2 -
self.initial_coordinate_node_1)
def apply_hardening_model(self, hardening_model, gauss_number, yield_stress, kinematic_hardening_modulus, plastic_modulus, saturation_stress,
modified_modulus, exponent):
"""Apply hardening model on the beam element.
Parameters
----------
hardening_model: str
hardening model. only linear hardening is implemented.
gauss_number: tuple
Number of Gauss points on xi-axis, eta-axis, mu-axis. Set as a tuple with 3 numbers, such as (1, 2, 2)
yield_stress: int/float
Value of yield stress.
kinematic_hardening_modulus: int/float
Value of kinematic hardening modulus.
plastic_modulus: int/float
Value of plastic modulus.
saturation_stress: int/float
Value of saturation stress.
modified_modulus: int/float
Value of modified modulus.
exponent: int/float
Value of exponent.
Returns
-------
None.
"""
self.num_of_gauss_locations_xi = gauss_number[0] # x-axis
self.num_of_gauss_locations_eta = gauss_number[1] # y-axis
self.num_of_gauss_locations_mu = gauss_number[2] # z-axis
self.num_of_gauss_locations = self.num_of_gauss_locations_xi * \
self.num_of_gauss_locations_eta * self.num_of_gauss_locations_mu
[gauss_locations_xi, weights_xi] = np.polynomial.legendre.leggauss(
self.num_of_gauss_locations_xi)
[gauss_locations_eta, weights_eta] = np.polynomial.legendre.leggauss(
self.num_of_gauss_locations_eta)
[gauss_locations_mu, weights_mu] = np.polynomial.legendre.leggauss(
self.num_of_gauss_locations_mu)
global_gauss_locations_mat = np.zeros(
(3, self.num_of_gauss_locations), dtype=float)
weights_mat = np.zeros(self.num_of_gauss_locations, dtype=float)
for ixi in range(self.num_of_gauss_locations_xi):
for jeta in range(self.num_of_gauss_locations_eta):
for kmu in range(self.num_of_gauss_locations_mu):
x, y, z = self.map_local_coordinate_to_global_coordinate(
gauss_locations_xi[ixi], gauss_locations_eta[jeta], gauss_locations_mu[kmu])
global_gauss_locations_mat[0, ixi * self.num_of_gauss_locations_eta *
self.num_of_gauss_locations_mu + jeta * self.num_of_gauss_locations_mu + kmu] = x
global_gauss_locations_mat[1, ixi * self.num_of_gauss_locations_eta *
self.num_of_gauss_locations_mu + jeta * self.num_of_gauss_locations_mu + kmu] = y
global_gauss_locations_mat[2, ixi * self.num_of_gauss_locations_eta *
self.num_of_gauss_locations_mu + jeta * self.num_of_gauss_locations_mu + kmu] = z
weights_mat[ixi * self.num_of_gauss_locations_eta *
self.num_of_gauss_locations_mu + jeta *
self.num_of_gauss_locations_mu + kmu] = weights_xi[ixi] * weights_eta[jeta] * weights_mu[kmu]
self.global_gauss_locations_mat = global_gauss_locations_mat
self.weights_mat = weights_mat
if hardening_model == "linear hardening":
self.analysis = hardening_model
self.yield_stress = yield_stress
self.plastic_modulus = plastic_modulus
self.stress = np.zeros(
(6, 1, self.num_of_gauss_locations), dtype=float)
self.plastic_strain = np.zeros(
(6, 1, self.num_of_gauss_locations), dtype=float)
self.tangent_moduli = np.zeros(
(6, 6, self.num_of_gauss_locations), dtype=float)
self.internal_hardening_variable = np.zeros(
self.num_of_gauss_locations, dtype=float)
# initialize tangent moduli
elastic_tangent_moduli = self.first_lame_constant * util.unit_tensor() @ util.unit_tensor().T + \
2 * self.second_lame_constant * np.eye(6)
for n in range(self.num_of_gauss_locations):
self.tangent_moduli[:, :, n] = elastic_tangent_moduli
else:
print("In 3D, only linear hardening is implemented.")
raise ValueError("Wrong hardening model!")
def local_displacement(self):
"""Calculate local displacement vector at current state.
Parameters
----------
None.
Returns
-------
p_l: numpy.ndarray
local displacement.
"""
p_l = np.zeros((7, 1), dtype=float)
R_g = self.current_local_frame()
R1_bar = (
R_g.T) @ self.current_orientation_node_1 @ self.initial_local_frame
R2_bar = (
R_g.T) @ self.current_orientation_node_2 @ self.initial_local_frame
theta1_bar_skew_symmetric = util.log(R1_bar)
theta2_bar_skew_symmetric = util.log(R2_bar)
p_l[0] = self.current_length() - self.initial_length
p_l[1: 4] = util.get_rotational_vector(theta1_bar_skew_symmetric)
p_l[4: 7] = util.get_rotational_vector(theta2_bar_skew_symmetric)
return p_l
def current_local_frame(self):
"""Calculate local frame Rr at current state.
Parameters
----------
None.
Returns
-------
Rr: numpy.ndarray
local frame at current state.
"""
r_1 = (self.current_coordinate_node_2() -
self.current_coordinate_node_1()) / self.current_length()
_, _, q = self.auxiliary_vector()
r_3 = np.cross(r_1, q, axisa=0, axisb=0, axisc=0)
r_3 = r_3 / np.linalg.norm(r_3)
r_2 = np.cross(r_3, r_1, axisa=0, axisb=0, axisc=0)
return np.c_[r_1, r_2, r_3]
def current_coordinate_node_1(self):
"""Calculate the coodinate of node 1 in current configuration.
Parameters
----------
None.
Returns
-------
current coordinate of the 1st node: x1 = X1 + u1.
"""
return self.initial_coordinate_node_1 + self.global_displacement[0: 3]
def current_coordinate_node_2(self):
"""Calculate the coodinate of node 2 in current configuration.
Parameters
----------
None.
Returns
-------
current coordinate of the 2nd node: x2 = X2 + u2.
"""
return self.initial_coordinate_node_2 + self.global_displacement[6: 9]
def current_length(self):
"""Calculate the current length of the beam element.
Parameters
----------
None.
Returns
-------
l: float
"""
return np.linalg.norm(self.current_coordinate_node_2() -
self.current_coordinate_node_1())
def auxiliary_vector(self):
"""Calculate the auxiliary vectors.
Parameters
----------
None.
Returns
-------
q_1, q_2, q: numpy.ndarray
"""
q_1 = self.current_orientation_node_1 @ self.initial_local_frame @ np.array([
[0., 1., 0.]]).T
q_2 = self.current_orientation_node_2 @ self.initial_local_frame @ np.array([
[0., 1., 0.]]).T
q = (q_1 + q_2) / 2
return q_1, q_2, q
def elastic_local_stiffness_force(self):
"""Calculate the local stiffness matrix kl and local force vector fl of the beam element.
Parameters
----------
None.
Returns
-------
kl: np.ndarray
local stiffness matrix.
fl: np.ndarray
local force vector
"""
u, t11, t21, t31, t12, t22, t32 = self.local_displacement().reshape(7)
E, G, A, L, I22, I33, Irr = self.youngs_modulus, self.second_lame_constant, self.area, self.initial_length, self.moment_of_inertia_z, self.moment_of_inertia_y, self.fourth_order_polar_moment_of_inertia
if self.beamtype == "Bernoulli":
kl = np.array([[1.0*A*E/L, 1.0*E*(I22*t11 - I22*t12 + I33*t11 - I33*t12)/L**2, A*E*(0.133333333333333*t21 - 0.0333333333333333*t22), A*E*(0.133333333333333*t31 - 0.0333333333333333*t32), 1.0*E*(-I22*t11 + I22*t12 - I33*t11 + I33*t12)/L**2, A*E*(-0.0333333333333333*t21 + 0.133333333333333*t22), A*E*(-0.0333333333333333*t31 + 0.133333333333333*t32)], [1.0*E*(I22*t11 - I22*t12 + I33*t11 - I33*t12)/L**2, 0.0666666666666667*E*I22*t21**2/L - 0.0333333333333333*E*I22*t21*t22/L + 0.0666666666666667*E*I22*t22**2/L + 0.0666666666666667*E*I22*t31**2/L - 0.0333333333333333*E*I22*t31*t32/L + 0.0666666666666667*E*I22*t32**2/L + 1.0*E*I22*u/L**2 + 0.0666666666666667*E*I33*t21**2/L - 0.0333333333333333*E*I33*t21*t22/L + 0.0666666666666667*E*I33*t22**2/L + 0.0666666666666667*E*I33*t31**2/L - 0.0333333333333333*E*I33*t31*t32/L + 0.0666666666666667*E*I33*t32**2/L + 1.0*E*I33*u/L**2 + 1.5*E*Irr*t11**2/L**3 - 3.0*E*Irr*t11*t12/L**3 + 1.5*E*Irr*t12**2/L**3 + 1.0*G*I22/L + 1.0*G*I33/L, E*(0.133333333333333*I22*t11*t21 - 0.0333333333333333*I22*t11*t22 - 0.133333333333333*I22*t12*t21 + 0.0333333333333333*I22*t12*t22 + 0.133333333333333*I33*t11*t21 - 0.0333333333333333*I33*t11*t22 - 0.133333333333333*I33*t12*t21 + 0.0333333333333333*I33*t12*t22)/L, E*(0.133333333333333*I22*t11*t31 - 0.0333333333333333*I22*t11*t32 - 0.133333333333333*I22*t12*t31 + 0.0333333333333333*I22*t12*t32 + 0.133333333333333*I33*t11*t31 - 0.0333333333333333*I33*t11*t32 - 0.133333333333333*I33*t12*t31 + 0.0333333333333333*I33*t12*t32)/L, -0.0666666666666667*E*I22*t21**2/L + 0.0333333333333333*E*I22*t21*t22/L - 0.0666666666666667*E*I22*t22**2/L - 0.0666666666666667*E*I22*t31**2/L + 0.0333333333333333*E*I22*t31*t32/L - 0.0666666666666667*E*I22*t32**2/L - 1.0*E*I22*u/L**2 - 0.0666666666666667*E*I33*t21**2/L + 0.0333333333333333*E*I33*t21*t22/L - 0.0666666666666667*E*I33*t22**2/L - 0.0666666666666667*E*I33*t31**2/L + 0.0333333333333333*E*I33*t31*t32/L - 0.0666666666666667*E*I33*t32**2/L - 1.0*E*I33*u/L**2 - 1.5*E*Irr*t11**2/L**3 + 3.0*E*Irr*t11*t12/L**3 - 1.5*E*Irr*t12**2/L**3 - 1.0*G*I22/L - 1.0*G*I33/L, E*(-0.0333333333333333*I22*t11*t21 + 0.133333333333333*I22*t11*t22 + 0.0333333333333333*I22*t12*t21 - 0.133333333333333*I22*t12*t22 - 0.0333333333333333*I33*t11*t21 + 0.133333333333333*I33*t11*t22 + 0.0333333333333333*I33*t12*t21 - 0.133333333333333*I33*t12*t22)/L, E*(-0.0333333333333333*I22*t11*t31 + 0.133333333333333*I22*t11*t32 + 0.0333333333333333*I22*t12*t31 - 0.133333333333333*I22*t12*t32 - 0.0333333333333333*I33*t11*t31 + 0.133333333333333*I33*t11*t32 + 0.0333333333333333*I33*t12*t31 - 0.133333333333333*I33*t12*t32)/L], [A*E*(0.133333333333333*t21 - 0.0333333333333333*t22), E*(0.133333333333333*I22*t11*t21 - 0.0333333333333333*I22*t11*t22 - 0.133333333333333*I22*t12*t21 + 0.0333333333333333*I22*t12*t22 + 0.133333333333333*I33*t11*t21 - 0.0333333333333333*I33*t11*t22 - 0.133333333333333*I33*t12*t21 + 0.0333333333333333*I33*t12*t22)/L, E*(0.0266666666666667*A*L**2*t21**2 - 0.0133333333333333*A*L**2*t21*t22 + 0.01*A*L**2*t22**2 + 0.00888888888888889*A*L**2*t31**2 - 0.00444444444444444*A*L**2*t31*t32 + 0.00888888888888889*A*L**2*t32**2 + 0.133333333333333*A*L*u + 0.0666666666666667*I22*t11**2 - 0.133333333333333*I22*t11*t12 + 0.0666666666666667*I22*t12**2 + 0.0666666666666667*I33*t11**2 - 0.133333333333333*I33*t11*t12 + 0.0666666666666667*I33*t12**2 + 4.0*I33)/L, A*E*L*(0.0177777777777778*t21*t31 - 0.00444444444444444*t21*t32 - 0.00444444444444444*t22*t31 + 0.00111111111111111*t22*t32), E*(-0.133333333333333*I22*t11*t21 + 0.0333333333333333*I22*t11*t22 + 0.133333333333333*I22*t12*t21 - 0.0333333333333333*I22*t12*t22 - 0.133333333333333*I33*t11*t21 + 0.0333333333333333*I33*t11*t22 + 0.133333333333333*I33*t12*t21 - 0.0333333333333333*I33*t12*t22)/L, E*(-0.00666666666666667*A*L**2*t21**2 + 0.02*A*L**2*t21*t22 - 0.00666666666666667*A*L**2*t22**2 - 0.00222222222222222*A*L**2*t31**2 + 0.00111111111111111*A*L**2*t31*t32 - 0.00222222222222222*A*L**2*t32**2 - 0.0333333333333333*A*L*u - 0.0166666666666667*I22*t11**2 + 0.0333333333333333*I22*t11*t12 - 0.0166666666666667*I22*t12**2 - 0.0166666666666667*I33*t11**2 + 0.0333333333333333*I33*t11*t12 - 0.0166666666666667*I33*t12**2 + 2.0*I33)/L, A*E*L*(-0.00444444444444444*t21*t31 + 0.0177777777777778*t21*t32 + 0.00111111111111111*t22*t31 - 0.00444444444444444*t22*t32)], [A*E*(0.133333333333333*t31 - 0.0333333333333333*t32), E*(0.133333333333333*I22*t11*t31 - 0.0333333333333333*I22*t11*t32 - 0.133333333333333*I22*t12*t31 + 0.0333333333333333*I22*t12*t32 + 0.133333333333333*I33*t11*t31 - 0.0333333333333333*I33*t11*t32 - 0.133333333333333*I33*t12*t31 + 0.0333333333333333*I33*t12*t32)/L, A*E*L*(0.0177777777777778*t21*t31 - 0.00444444444444444*t21*t32 - 0.00444444444444444*t22*t31 + 0.00111111111111111*t22*t32), E*(0.00888888888888889*A*L**2*t21**2 - 0.00444444444444444*A*L**2*t21*t22 + 0.00888888888888889*A*L**2*t22**2 + 0.0266666666666667*A*L**2*t31**2 - 0.0133333333333333*A*L**2*t31*t32 + 0.01*A*L**2*t32**2 + 0.133333333333333*A*L*u + 0.0666666666666667*I22*t11**2 - 0.133333333333333*I22*t11*t12 + 0.0666666666666667*I22*t12**2 + 4.0*I22 + 0.0666666666666667*I33*t11**2 - 0.133333333333333*I33*t11*t12 + 0.0666666666666667*I33*t12**2)/L, E*(-0.133333333333333*I22*t11*t31 + 0.0333333333333333*I22*t11*t32 + 0.133333333333333*I22*t12*t31 - 0.0333333333333333*I22*t12*t32 - 0.133333333333333*I33*t11*t31 + 0.0333333333333333*I33*t11*t32 + 0.133333333333333*I33*t12*t31 - 0.0333333333333333*I33*t12*t32)/L, A*E*L*(-0.00444444444444444*t21*t31 + 0.00111111111111111*t21*t32 + 0.0177777777777778*t22*t31 - 0.00444444444444444*t22*t32), E*(-0.00222222222222222*A*L**2*t21**2 + 0.00111111111111111*A*L**2*t21*t22 - 0.00222222222222222*A*L**2*t22**2 - 0.00666666666666667*A*L**2*t31**2 + 0.02*A*L**2*t31*t32 - 0.00666666666666667*A*L**2*t32**2 - 0.0333333333333333*A*L*u - 0.0166666666666667*I22*t11**2 +
0.0333333333333333*I22*t11*t12 - 0.0166666666666667*I22*t12**2 + 2.0*I22 - 0.0166666666666667*I33*t11**2 + 0.0333333333333333*I33*t11*t12 - 0.0166666666666667*I33*t12**2)/L], [1.0*E*(-I22*t11 + I22*t12 - I33*t11 + I33*t12)/L**2, -0.0666666666666667*E*I22*t21**2/L + 0.0333333333333333*E*I22*t21*t22/L - 0.0666666666666667*E*I22*t22**2/L - 0.0666666666666667*E*I22*t31**2/L + 0.0333333333333333*E*I22*t31*t32/L - 0.0666666666666667*E*I22*t32**2/L - 1.0*E*I22*u/L**2 - 0.0666666666666667*E*I33*t21**2/L + 0.0333333333333333*E*I33*t21*t22/L - 0.0666666666666667*E*I33*t22**2/L - 0.0666666666666667*E*I33*t31**2/L + 0.0333333333333333*E*I33*t31*t32/L - 0.0666666666666667*E*I33*t32**2/L - 1.0*E*I33*u/L**2 - 1.5*E*Irr*t11**2/L**3 + 3.0*E*Irr*t11*t12/L**3 - 1.5*E*Irr*t12**2/L**3 - 1.0*G*I22/L - 1.0*G*I33/L, E*(-0.133333333333333*I22*t11*t21 + 0.0333333333333333*I22*t11*t22 + 0.133333333333333*I22*t12*t21 - 0.0333333333333333*I22*t12*t22 - 0.133333333333333*I33*t11*t21 + 0.0333333333333333*I33*t11*t22 + 0.133333333333333*I33*t12*t21 - 0.0333333333333333*I33*t12*t22)/L, E*(-0.133333333333333*I22*t11*t31 + 0.0333333333333333*I22*t11*t32 + 0.133333333333333*I22*t12*t31 - 0.0333333333333333*I22*t12*t32 - 0.133333333333333*I33*t11*t31 + 0.0333333333333333*I33*t11*t32 + 0.133333333333333*I33*t12*t31 - 0.0333333333333333*I33*t12*t32)/L, 0.0666666666666667*E*I22*t21**2/L - 0.0333333333333333*E*I22*t21*t22/L + 0.0666666666666667*E*I22*t22**2/L + 0.0666666666666667*E*I22*t31**2/L - 0.0333333333333333*E*I22*t31*t32/L + 0.0666666666666667*E*I22*t32**2/L + 1.0*E*I22*u/L**2 + 0.0666666666666667*E*I33*t21**2/L - 0.0333333333333333*E*I33*t21*t22/L + 0.0666666666666667*E*I33*t22**2/L + 0.0666666666666667*E*I33*t31**2/L - 0.0333333333333333*E*I33*t31*t32/L + 0.0666666666666667*E*I33*t32**2/L + 1.0*E*I33*u/L**2 + 1.5*E*Irr*t11**2/L**3 - 3.0*E*Irr*t11*t12/L**3 + 1.5*E*Irr*t12**2/L**3 + 1.0*G*I22/L + 1.0*G*I33/L, E*(0.0333333333333333*I22*t11*t21 - 0.133333333333333*I22*t11*t22 - 0.0333333333333333*I22*t12*t21 + 0.133333333333333*I22*t12*t22 + 0.0333333333333333*I33*t11*t21 - 0.133333333333333*I33*t11*t22 - 0.0333333333333333*I33*t12*t21 + 0.133333333333333*I33*t12*t22)/L, E*(0.0333333333333333*I22*t11*t31 - 0.133333333333333*I22*t11*t32 - 0.0333333333333333*I22*t12*t31 + 0.133333333333333*I22*t12*t32 + 0.0333333333333333*I33*t11*t31 - 0.133333333333333*I33*t11*t32 - 0.0333333333333333*I33*t12*t31 + 0.133333333333333*I33*t12*t32)/L], [A*E*(-0.0333333333333333*t21 + 0.133333333333333*t22), E*(-0.0333333333333333*I22*t11*t21 + 0.133333333333333*I22*t11*t22 + 0.0333333333333333*I22*t12*t21 - 0.133333333333333*I22*t12*t22 - 0.0333333333333333*I33*t11*t21 + 0.133333333333333*I33*t11*t22 + 0.0333333333333333*I33*t12*t21 - 0.133333333333333*I33*t12*t22)/L, E*(-0.00666666666666667*A*L**2*t21**2 + 0.02*A*L**2*t21*t22 - 0.00666666666666667*A*L**2*t22**2 - 0.00222222222222222*A*L**2*t31**2 + 0.00111111111111111*A*L**2*t31*t32 - 0.00222222222222222*A*L**2*t32**2 - 0.0333333333333333*A*L*u - 0.0166666666666667*I22*t11**2 + 0.0333333333333333*I22*t11*t12 - 0.0166666666666667*I22*t12**2 - 0.0166666666666667*I33*t11**2 + 0.0333333333333333*I33*t11*t12 - 0.0166666666666667*I33*t12**2 + 2.0*I33)/L, A*E*L*(-0.00444444444444444*t21*t31 + 0.00111111111111111*t21*t32 + 0.0177777777777778*t22*t31 - 0.00444444444444444*t22*t32), E*(0.0333333333333333*I22*t11*t21 - 0.133333333333333*I22*t11*t22 - 0.0333333333333333*I22*t12*t21 + 0.133333333333333*I22*t12*t22 + 0.0333333333333333*I33*t11*t21 - 0.133333333333333*I33*t11*t22 - 0.0333333333333333*I33*t12*t21 + 0.133333333333333*I33*t12*t22)/L, E*(0.01*A*L**2*t21**2 - 0.0133333333333333*A*L**2*t21*t22 + 0.0266666666666667*A*L**2*t22**2 + 0.00888888888888889*A*L**2*t31**2 - 0.00444444444444444*A*L**2*t31*t32 + 0.00888888888888889*A*L**2*t32**2 + 0.133333333333333*A*L*u + 0.0666666666666667*I22*t11**2 - 0.133333333333333*I22*t11*t12 + 0.0666666666666667*I22*t12**2 + 0.0666666666666667*I33*t11**2 - 0.133333333333333*I33*t11*t12 + 0.0666666666666667*I33*t12**2 + 4.0*I33)/L, A*E*L*(0.00111111111111111*t21*t31 - 0.00444444444444444*t21*t32 - 0.00444444444444444*t22*t31 + 0.0177777777777778*t22*t32)], [A*E*(-0.0333333333333333*t31 + 0.133333333333333*t32), E*(-0.0333333333333333*I22*t11*t31 + 0.133333333333333*I22*t11*t32 + 0.0333333333333333*I22*t12*t31 - 0.133333333333333*I22*t12*t32 - 0.0333333333333333*I33*t11*t31 + 0.133333333333333*I33*t11*t32 + 0.0333333333333333*I33*t12*t31 - 0.133333333333333*I33*t12*t32)/L, A*E*L*(-0.00444444444444444*t21*t31 + 0.0177777777777778*t21*t32 + 0.00111111111111111*t22*t31 - 0.00444444444444444*t22*t32), E*(-0.00222222222222222*A*L**2*t21**2 + 0.00111111111111111*A*L**2*t21*t22 - 0.00222222222222222*A*L**2*t22**2 - 0.00666666666666667*A*L**2*t31**2 + 0.02*A*L**2*t31*t32 - 0.00666666666666667*A*L**2*t32**2 - 0.0333333333333333*A*L*u - 0.0166666666666667*I22*t11**2 + 0.0333333333333333*I22*t11*t12 - 0.0166666666666667*I22*t12**2 + 2.0*I22 - 0.0166666666666667*I33*t11**2 + 0.0333333333333333*I33*t11*t12 - 0.0166666666666667*I33*t12**2)/L, E*(0.0333333333333333*I22*t11*t31 - 0.133333333333333*I22*t11*t32 - 0.0333333333333333*I22*t12*t31 + 0.133333333333333*I22*t12*t32 + 0.0333333333333333*I33*t11*t31 - 0.133333333333333*I33*t11*t32 - 0.0333333333333333*I33*t12*t31 + 0.133333333333333*I33*t12*t32)/L, A*E*L*(0.00111111111111111*t21*t31 - 0.00444444444444444*t21*t32 - 0.00444444444444444*t22*t31 + 0.0177777777777778*t22*t32), E*(0.00888888888888889*A*L**2*t21**2 - 0.00444444444444444*A*L**2*t21*t22 + 0.00888888888888889*A*L**2*t22**2 + 0.01*A*L**2*t31**2 - 0.0133333333333333*A*L**2*t31*t32 + 0.0266666666666667*A*L**2*t32**2 + 0.133333333333333*A*L*u + 0.0666666666666667*I22*t11**2 - 0.133333333333333*I22*t11*t12 + 0.0666666666666667*I22*t12**2 + 4.0*I22 + 0.0666666666666667*I33*t11**2 - 0.133333333333333*I33*t11*t12 + 0.0666666666666667*I33*t12**2)/L]])
fl = np.array([[E*(0.0666666666666667*A*L**2*t21**2 - 0.0333333333333333*A*L**2*t21*t22 + 0.0666666666666667*A*L**2*t22**2 + 0.0666666666666667*A*L**2*t31**2 - 0.0333333333333333*A*L**2*t31*t32 + 0.0666666666666667*A*L**2*t32**2 + 1.0*A*L*u + 0.5*I22*t11**2 - 1.0*I22*t11*t12 + 0.5*I22*t12**2 + 0.5*I33*t11**2 - 1.0*I33*t11*t12 + 0.5*I33*t12**2)/L**2, 0.0666666666666667*E*I22*t11*t21**2/L - 0.0333333333333333*E*I22*t11*t21*t22/L + 0.0666666666666667*E*I22*t11*t22**2/L + 0.0666666666666667*E*I22*t11*t31**2/L - 0.0333333333333333*E*I22*t11*t31*t32/L + 0.0666666666666667*E*I22*t11*t32**2/L - 0.0666666666666667*E*I22*t12*t21**2/L + 0.0333333333333333*E*I22*t12*t21*t22/L - 0.0666666666666667*E*I22*t12*t22**2/L - 0.0666666666666667*E*I22*t12*t31**2/L + 0.0333333333333333*E*I22*t12*t31*t32/L - 0.0666666666666667*E*I22*t12*t32**2/L + 1.0*E*I22*t11*u/L**2 - 1.0*E*I22*t12*u/L**2 + 0.0666666666666667*E*I33*t11*t21**2/L - 0.0333333333333333*E*I33*t11*t21*t22/L + 0.0666666666666667*E*I33*t11*t22**2/L + 0.0666666666666667*E*I33*t11*t31**2/L - 0.0333333333333333*E*I33*t11*t31*t32/L + 0.0666666666666667*E*I33*t11*t32**2/L - 0.0666666666666667*E*I33*t12*t21**2/L + 0.0333333333333333*E*I33*t12*t21*t22/L - 0.0666666666666667*E*I33*t12*t22**2/L - 0.0666666666666667*E*I33*t12*t31**2/L + 0.0333333333333333*E*I33*t12*t31*t32/L - 0.0666666666666667*E*I33*t12*t32**2/L + 1.0*E*I33*t11*u/L**2 - 1.0*E*I33*t12*u/L**2 + 0.5*E*Irr*t11**3/L**3 - 1.5*E*Irr*t11**2*t12/L**3 + 1.5*E*Irr*t11*t12**2/L**3 - 0.5*E*Irr*t12**3/L**3 + 1.0*G*I22*t11/L - 1.0*G*I22*t12/L + 1.0*G*I33*t11/L - 1.0*G*I33*t12/L, 1.0*E*(0.00888888888888889*A*L**2*t21**3 - 0.00666666666666667*A*L**2*t21**2*t22 + 0.01*A*L**2*t21*t22**2 + 0.00888888888888889*A*L**2*t21*t31**2 - 0.00444444444444444*A*L**2*t21*t31*t32 + 0.00888888888888889*A*L**2*t21*t32**2 - 0.00222222222222222*A*L**2*t22**3 - 0.00222222222222222*A*L**2*t22*t31**2 + 0.00111111111111111*A*L**2*t22*t31*t32 - 0.00222222222222222*A*L**2*t22*t32**2 + 0.133333333333333*A*L*t21*u - 0.0333333333333333*A*L*t22*u + 0.0666666666666667*I22*t11**2*t21 - 0.0166666666666667*I22*t11**2*t22 - 0.133333333333333*I22*t11*t12*t21 + 0.0333333333333333*I22*t11*t12*t22 + 0.0666666666666667*I22*t12**2*t21 - 0.0166666666666667*I22*t12**2*t22 + 0.0666666666666667*I33*t11**2*t21 - 0.0166666666666667*I33*t11**2*t22 - 0.133333333333333*I33*t11*t12*t21 + 0.0333333333333333*I33*t11*t12*t22 + 0.0666666666666667*I33*t12**2*t21 - 0.0166666666666667*I33*t12**2*t22 + 4.0*I33*t21 + 2.0*I33*t22)/L, 1.0*E*(0.00888888888888889*A*L**2*t21**2*t31 - 0.00222222222222222*A*L**2*t21**2*t32 - 0.00444444444444444*A*L**2*t21*t22*t31 + 0.00111111111111111*A*L**2*t21*t22*t32 + 0.00888888888888889*A*L**2*t22**2*t31 - 0.00222222222222222*A*L**2*t22**2*t32 + 0.00888888888888889*A*L**2*t31**3 - 0.00666666666666667*A*L**2*t31**2*t32 + 0.01*A*L**2*t31*t32**2 - 0.00222222222222222*A*L**2*t32**3 + 0.133333333333333*A*L*t31*u - 0.0333333333333333*A*L*t32*u + 0.0666666666666667*I22*t11**2*t31 - 0.0166666666666667*I22*t11**2*t32 - 0.133333333333333*I22*t11*t12*t31 + 0.0333333333333333*I22*t11*t12*t32 + 0.0666666666666667*I22*t12**2*t31 - 0.0166666666666667*I22*t12**2*t32 + 4.0*I22*t31 + 2.0*I22*t32 + 0.0666666666666667*I33*t11**2*t31 -
0.0166666666666667*I33*t11**2*t32 - 0.133333333333333*I33*t11*t12*t31 + 0.0333333333333333*I33*t11*t12*t32 + 0.0666666666666667*I33*t12**2*t31 - 0.0166666666666667*I33*t12**2*t32)/L, -0.0666666666666667*E*I22*t11*t21**2/L + 0.0333333333333333*E*I22*t11*t21*t22/L - 0.0666666666666667*E*I22*t11*t22**2/L - 0.0666666666666667*E*I22*t11*t31**2/L + 0.0333333333333333*E*I22*t11*t31*t32/L - 0.0666666666666667*E*I22*t11*t32**2/L + 0.0666666666666667*E*I22*t12*t21**2/L - 0.0333333333333333*E*I22*t12*t21*t22/L + 0.0666666666666667*E*I22*t12*t22**2/L + 0.0666666666666667*E*I22*t12*t31**2/L - 0.0333333333333333*E*I22*t12*t31*t32/L + 0.0666666666666667*E*I22*t12*t32**2/L - 1.0*E*I22*t11*u/L**2 + 1.0*E*I22*t12*u/L**2 - 0.0666666666666667*E*I33*t11*t21**2/L + 0.0333333333333333*E*I33*t11*t21*t22/L - 0.0666666666666667*E*I33*t11*t22**2/L - 0.0666666666666667*E*I33*t11*t31**2/L + 0.0333333333333333*E*I33*t11*t31*t32/L - 0.0666666666666667*E*I33*t11*t32**2/L + 0.0666666666666667*E*I33*t12*t21**2/L - 0.0333333333333333*E*I33*t12*t21*t22/L + 0.0666666666666667*E*I33*t12*t22**2/L + 0.0666666666666667*E*I33*t12*t31**2/L - 0.0333333333333333*E*I33*t12*t31*t32/L + 0.0666666666666667*E*I33*t12*t32**2/L - 1.0*E*I33*t11*u/L**2 + 1.0*E*I33*t12*u/L**2 - 0.5*E*Irr*t11**3/L**3 + 1.5*E*Irr*t11**2*t12/L**3 - 1.5*E*Irr*t11*t12**2/L**3 + 0.5*E*Irr*t12**3/L**3 - 1.0*G*I22*t11/L + 1.0*G*I22*t12/L - 1.0*G*I33*t11/L + 1.0*G*I33*t12/L, E*(-0.00222222222222222*A*L**2*t21**3 + 0.01*A*L**2*t21**2*t22 - 0.00666666666666667*A*L**2*t21*t22**2 - 0.00222222222222222*A*L**2*t21*t31**2 + 0.00111111111111111*A*L**2*t21*t31*t32 - 0.00222222222222222*A*L**2*t21*t32**2 + 0.00888888888888889*A*L**2*t22**3 + 0.00888888888888889*A*L**2*t22*t31**2 - 0.00444444444444444*A*L**2*t22*t31*t32 + 0.00888888888888889*A*L**2*t22*t32**2 - 0.0333333333333333*A*L*t21*u + 0.133333333333333*A*L*t22*u - 0.0166666666666667*I22*t11**2*t21 + 0.0666666666666667*I22*t11**2*t22 + 0.0333333333333333*I22*t11*t12*t21 - 0.133333333333333*I22*t11*t12*t22 - 0.0166666666666667*I22*t12**2*t21 + 0.0666666666666667*I22*t12**2*t22 - 0.0166666666666667*I33*t11**2*t21 + 0.0666666666666667*I33*t11**2*t22 + 0.0333333333333333*I33*t11*t12*t21 - 0.133333333333333*I33*t11*t12*t22 - 0.0166666666666667*I33*t12**2*t21 + 0.0666666666666667*I33*t12**2*t22 + 2.0*I33*t21 + 4.0*I33*t22)/L, E*(-0.00222222222222222*A*L**2*t21**2*t31 + 0.00888888888888889*A*L**2*t21**2*t32 + 0.00111111111111111*A*L**2*t21*t22*t31 - 0.00444444444444444*A*L**2*t21*t22*t32 - 0.00222222222222222*A*L**2*t22**2*t31 + 0.00888888888888889*A*L**2*t22**2*t32 - 0.00222222222222222*A*L**2*t31**3 + 0.01*A*L**2*t31**2*t32 - 0.00666666666666667*A*L**2*t31*t32**2 + 0.00888888888888889*A*L**2*t32**3 - 0.0333333333333333*A*L*t31*u + 0.133333333333333*A*L*t32*u - 0.0166666666666667*I22*t11**2*t31 + 0.0666666666666667*I22*t11**2*t32 + 0.0333333333333333*I22*t11*t12*t31 - 0.133333333333333*I22*t11*t12*t32 - 0.0166666666666667*I22*t12**2*t31 + 0.0666666666666667*I22*t12**2*t32 + 2.0*I22*t31 + 4.0*I22*t32 - 0.0166666666666667*I33*t11**2*t31 + 0.0666666666666667*I33*t11**2*t32 + 0.0333333333333333*I33*t11*t12*t31 - 0.133333333333333*I33*t11*t12*t32 - 0.0166666666666667*I33*t12**2*t31 + 0.0666666666666667*I33*t12**2*t32)/L]]).T
elif self.beamtype == "Timoshenko":
kl = np.array([[1.0*A*E/L, 0.75*E*Irr*(I22 + I33)*(t11 - t12)**5/L**6, 0, 0, -0.75*E*Irr*(I22 + I33)*(t11 - t12)**5/L**6, 0, 0], [0.75*E*Irr*(I22 + I33)*(t11 - t12)**5/L**6, (I22 + I33)*(3.75*E*Irr*u*(t11 - t12)**4 + 1.0*G*L**5)/L**6, 0, 0, -(I22 + I33)*(3.75*E*Irr*u*(t11 - t12)**4 + 1.0*G*L**5)/L**6, 0, 0], [0, 0, 0.25*A*G*L + 1.0*E*I33/L, 0, 0, 0.25*A*G*L - 1.0*E*I33/L, 0], [
0, 0, 0, 0.25*A*G*L + 1.0*E*I22/L, 0, 0, 0.25*A*G*L - 1.0*E*I22/L], [-0.75*E*Irr*(I22 + I33)*(t11 - t12)**5/L**6, -(I22 + I33)*(3.75*E*Irr*u*(t11 - t12)**4 + 1.0*G*L**5)/L**6, 0, 0, (I22 + I33)*(3.75*E*Irr*u*(t11 - t12)**4 + 1.0*G*L**5)/L**6, 0, 0], [0, 0, 0.25*A*G*L - 1.0*E*I33/L, 0, 0, 0.25*A*G*L + 1.0*E*I33/L, 0], [0, 0, 0, 0.25*A*G*L - 1.0*E*I22/L, 0, 0, 0.25*A*G*L + 1.0*E*I22/L]])
fl = np.array([[0.125*E*(8*A*L**5*u + Irr*(I22 + I33)*(t11 - t12)**6)/L**6, (I22 + I33)*(t11 - t12)*(0.75*E*Irr*u*(t11 - t12)**4 + G*L**5)/L**6, (0.25*A*G*L**2*(t21 + t22) + E*I33*(t21 - t22))/L, (0.25*A*G*L**2*(
t31 + t32) + E*I22*(t31 - t32))/L, -(I22 + I33)*(t11 - t12)*(0.75*E*Irr*u*(t11 - t12)**4 + 1.0*G*L**5)/L**6, (0.25*A*G*L**2*(t21 + t22) - 1.0*E*I33*(t21 - t22))/L, (0.25*A*G*L**2*(t31 + t32) - 1.0*E*I22*(t31 - t32))/L]]).T
return kl, fl
def strain(self, x, y, z):
"""Calculate the strain at a point expressed in local coordinate.
Parameters
----------
x: float
the 1st local coordinate.
y: float
the 2nd local coordinate.
z: float
the 3rd local coordinate.
Returns
-------
strain: numpy.ndarray
the strain vector with six components.
"""
u, t11, t21, t31, t12, t22, t32 = self.local_displacement().reshape(7)
L = self.initial_length
# Shape functions and their derivatives
# def f1(x): return 1 - 3 * (x/L) ** 2 + 2 * (x/L) ** 3
# def f2(x): return x * (1 - x/L) ** 2
# def f3(x): return 1 - f1(x)
# def f4(x): return (x ** 2) * (x/L - 1) / L
def f5(x): return 1 - x/L
def f6(x): return x/L
# def df1(x): return -6*x/L**2 + 6*x**2/L**3
def df2(x): return (1 - x/L)**2 - 2*x*(1 - x/L)/L
# def df3(x): return 6*x/L**2 - 6*x**2/L**3
def df4(x): return 2*x*(-1 + x/L)/L + x**2/L**2
def df5(x): return -1/L
def df6(x): return 1/L
# def ddf1(x): return -6/L**2 + 12*x/L**3
def ddf2(x): return -4*(1 - x/L)/L + 2*x/L**2
# def ddf3(x): return 6/L**2 - 12*x/L**3
def ddf4(x): return 2*(-1 + x/L)/L + 4*x/L**2
# def ddf5(x): return 0
# def ddf6(x): return 0
if self.beamtype == "Bernoulli":
# u1 = f6(x) * u
# u2 = f2(x) * t31 + f4(x) * t32
# u3 = -f2(x) * t21 - f4(x) * t22
du1 = df6(x) * u
du2 = df2(x) * t31 + df4(x) * t32
du3 = -df2(x) * t21 - df4(x) * t22
# ddu1 = ddf6(x)
ddu2 = ddf2(x) * t31 + ddf4(x) * t32
ddu3 = -ddf2(x) * t21 - ddf4(x) * t22
# t1 = f5(x) * t11 + f6(x) * t12
t2 = -du3
t3 = du2
dt1 = df5(x) * t11 + df6(x) * t12
dt2 = -ddu3
dt3 = ddu2
elif self.beamtype == "Timoshenko":
du1 = u / L
du2 = 0.0
du3 = 0.0
ddu2 = 0.0
ddu3 = 0.0
t1 = f5(x) * t11 + f6(x) * t12
t2 = f5(x) * t21 + f6(x) * t22
t3 = f5(x) * t31 + f6(x) * t32
dt1 = (t12 - t11) / L
dt2 = (t22 - t21) / L
dt3 = (t32 - t31) / L
eps_11 = du1 + (du2 ** 2 + du3 ** 2) / 2 - y * dt3 + \
z * dt2 + (y ** 2 + z ** 2) * dt1 ** 2 / 2
eps_22 = -self.first_lame_constant * eps_11 / \
(2 * (self.first_lame_constant + self.second_lame_constant))
eps_33 = eps_22
gamma_12 = du2 - t3 - z * dt1
gamma_13 = du3 + t2 + y * dt1
return np.array([[eps_11, eps_22, eps_33, gamma_12, 0., gamma_13]]).T
def map_local_coordinate_to_global_coordinate(self, xi, eta, mu):
"""Define the linear map between Gaussian space and local space.
Parameters
----------
xi: float
the 1st Gaussian coordinate.
eta: float
the 2nd Gaussian coordinate.
mu: float
the 3rd Gaussian coordinate.
Returns
-------
x: float
the 1st local coordinate.
y: float
the 2nd local coordinate.
z: float
the 3rd local coordinate.
"""
x = self.initial_length / 2 * (xi + 1)
y = self.width / 2 * eta
z = self.height / 2 * mu
return x, y, z
def perform_linear_hardening(self):
"""Update state variables using return-mapping algorithm for linear hardening model.
Parameters
----------
None.
Returns
-------
None.
"""
def yield_stress_function(
alpha): return self.yield_stress + self.plastic_modulus * alpha
elastic_tangent_moduli = self.first_lame_constant * util.unit_tensor() @ util.unit_tensor().T + \
2 * self.second_lame_constant * np.eye(6)
for n in range(self.num_of_gauss_locations):
x, y, z = self.global_gauss_locations_mat[0,
n], self.global_gauss_locations_mat[1, n], self.global_gauss_locations_mat[2, n]
strain_trial = self.strain(x, y, z) - self.plastic_strain[:, :, n]
volumetric_strain_trial, deviatoric_strain_trial = util.decompose_strain(
strain_trial)
p_trial = self.bulk_modulus * volumetric_strain_trial
s_trial = 2 * self.second_lame_constant * deviatoric_strain_trial
q_trial = np.sqrt(3/2) * util.stress_norm(s_trial)
f_trial = q_trial - \
yield_stress_function(self.internal_hardening_variable[n])
if f_trial <= 0:
self.stress[:, :, n] = s_trial + p_trial * util.unit_tensor()
self.tangent_moduli[:, :, n] = elastic_tangent_moduli
else:
deltagamma = f_trial / \
(self.plastic_modulus + 3 * self.second_lame_constant)
s = (1 - deltagamma * 3 *
self.second_lame_constant / q_trial) * s_trial
self.stress[:, :, n] = s + p_trial * util.unit_tensor()
self.plastic_strain[:, :, n] += deltagamma * \
np.sqrt(3/2) * s / util.stress_norm(s)
self.internal_hardening_variable[n] += deltagamma
# flow_vec = np.sqrt(3/2) * s / util.stress_norm(s)
# self.tangent_moduli[:, :, n] = elastic_tangent_moduli - float(((elastic_tangent_moduli @ flow_vec).T @ (elastic_tangent_moduli @ flow_vec)) / (flow_vec.T @ elastic_tangent_moduli @ flow_vec - self.plastic_modulus))
unit_flow_vec = s_trial / util.stress_norm(s_trial)
self.tangent_moduli[:, :, n] = 2 * self.second_lame_constant * (1 - deltagamma * 3 * self.second_lame_constant / q_trial) * util.deviatoric_projection_tensor() + 6 * self.second_lame_constant ** 2 * (
deltagamma / q_trial - 1 / (3 * self.second_lame_constant + self.plastic_modulus)) * unit_flow_vec @ unit_flow_vec.T + self.bulk_modulus * util.unit_tensor() @ util.unit_tensor().T
# def L_matrix(self):
# L = np.zeros((6, 6, self.num_of_gauss_locations), dtype=float)
# eta = -self.first_lame_constant / \
# (2 * (self.first_lame_constant +
# self.second_lame_constant))
# for n in range(self.num_of_gauss_locations):
# y, z = self.global_gauss_locations_mat[1: 3, n]
# L[3, 3, n] = (y ** 2 + z ** 2) * self.stress[0, 0, n] + eta * (y ** 2 + z ** 2) * \
# self.stress[1, 0, n] + eta * \
# (y ** 2 + z ** 2) * self.stress[2, 0, n]
# return L
def A_matrix(self, y, z):
p_l = self.local_displacement()
t12, t11 = p_l[4, 0], p_l[1, 0]
L = self.initial_length
# def df1(x): return -6*x/L**2 + 6*x**2/L**3
# def df3(x): return 6*x/L**2 - 6*x**2/L**3
# def dt1(x): return -1/L * t11 + 1/L * t12
A = np.array([[1., 0., 0., (y ** 2 + z ** 2) * (t12 - t11)/L, z, -y],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., -1., 0., -z, 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 1., y, 0., 0.]])
A[1, :] = -self.first_lame_constant / \
(2 * (self.first_lame_constant +
self.second_lame_constant)) * A[0, :]
A[2, :] = A[1, :]
return A
def G_mat(self, x):
L = self.initial_length
# def f1(x): return 1 - 3 * (x/L) ** 2 + 2 * (x/L) ** 3
# def f2(x): return x * (1 - x/L) ** 2
# def f3(x): return 1 - f1(x)
# def f4(x): return (x ** 2) * (x/L - 1) / L
def f5(x): return 1 - x/L
def f6(x): return x/L
# def df1(x): return -6*x/L**2 + 6*x**2/L**3
def df2(x): return (1 - x/L)**2 - 2*x*(1 - x/L)/L
# def df3(x): return 6*x/L**2 - 6*x**2/L**3
def df4(x): return 2*x*(-1 + x/L)/L + x**2/L**2
def df5(x): return -1/L
def df6(x): return 1/L
# def ddf1(x): return -6/L**2 + 12*x/L**3
def ddf2(x): return -4*(1 - x/L)/L + 2*x/L**2
# def ddf3(x): return 6/L**2 - 12*x/L**3
def ddf4(x): return 2*(-1 + x/L)/L + 4*x/L**2
# def ddf5(x): return 0
# def ddf6(x): return 0
if self.beamtype == "Bernoulli":
G = np.zeros((6, 7), dtype=float)
G[0, 0] = 1/L
G[1, 3], G[2, 2] = df2(x), df2(x)
G[1, 6], G[2, 5] = df4(x), df4(x)
G[3, 1], G[4, 2], G[5, 3] = df5(x), ddf2(x), ddf2(x)
G[3, 4], G[4, 5], G[5, 6] = df6(x), ddf4(x), ddf4(x)
elif self.beamtype == "Timoshenko":
G = np.zeros((6, 7), dtype=float)
G[0, 0] = 1/L
G[1, 3], G[2, 2] = f5(x), f5(x)
G[1, 6], G[2, 5] = f6(x), f6(x)
G[3, 1], G[4, 2], G[5, 3] = -1/L, -1/L, -1/L
G[3, 4], G[4, 5], G[5, 6] = 1/L, 1/L, 1/L
return G
def elasto_plastic_local_stiffness_force(self):
k_l = np.zeros((7, 7), dtype=float)
f_l = np.zeros((7, 1), dtype=float)
# L = self.L_matrix()
L = np.zeros((6, 6, self.num_of_gauss_locations), dtype=float)
eta = -self.first_lame_constant / \
(2 * (self.first_lame_constant +
self.second_lame_constant))
for n in range(self.num_of_gauss_locations):
x, y, z = self.global_gauss_locations_mat[0: 3, n]
G = self.G_mat(x)
A = self.A_matrix(y, z)
L[3, 3, n] = (y ** 2 + z ** 2) * self.stress[0, 0, n] + eta * (y ** 2 + z ** 2) * \
self.stress[1, 0, n] + eta * \
(y ** 2 + z ** 2) * self.stress[2, 0, n]
fac = self.initial_length * self.width * self.height / 8
k_l += G.T @ (A.T @ self.tangent_moduli[:, :, n] @ A + L[
:, :, n]) @ G * fac * self.weights_mat[n]
f_l += G.T @ A.T @ self.stress[:, :, n] * fac * self.weights_mat[n]
return k_l, f_l
def Ba_matrix(self):
p_l = self.local_displacement()
T_s_inv_theta_1bar = util.get_transformation_inv(p_l[1: 4])
T_s_inv_theta_2bar = util.get_transformation_inv(p_l[4: 7])
B_a = np.zeros((7, 7), dtype=float)
B_a[0, 0] = 1.
B_a[1: 4, 1: 4] = T_s_inv_theta_1bar
B_a[4: 7, 4: 7] = T_s_inv_theta_2bar
return B_a
def a_stiffness_force(self):
B_a = self.Ba_matrix()
if self.analysis == "elastic":
k_l, f_l = self.elastic_local_stiffness_force()
else:
k_l, f_l = self.elasto_plastic_local_stiffness_force()
p_l = self.local_displacement()
theta_bar_1 = p_l[1: 4]
theta_bar_2 = p_l[4: 7]
v_1 = f_l[1: 4]
v_2 = f_l[4: 7]
alpha_1, theta_bar_tilde_1 = util.decompose_rotational_vector(
theta_bar_1)
eta_1, mu_1 = util.get_eta_and_mu(alpha_1)
v_tilde_1 = util.get_skew_symmetric(v_1)
T_s_inv_1 = util.get_transformation_inv(theta_bar_1)
K_h1 = (eta_1 * (theta_bar_1 @ v_1.T - 2 * v_1 @ theta_bar_1.T + float(theta_bar_1.T @ v_1) * np.eye(3))
+ mu_1 * theta_bar_tilde_1 @ theta_bar_tilde_1 @ (v_1 @ theta_bar_1.T) - 1/2 * v_tilde_1) @ T_s_inv_1
alpha_2, theta_bar_tilde_2 = util.decompose_rotational_vector(
theta_bar_2)
eta_2, mu_2 = util.get_eta_and_mu(alpha_2)
v_tilde_2 = util.get_skew_symmetric(v_2)
T_s_inv_2 = util.get_transformation_inv(theta_bar_2)
K_h2 = (eta_2 * (theta_bar_2 @ v_2.T - 2 * v_2 @ theta_bar_2.T + float(theta_bar_2.T @ v_2) * np.eye(3))
+ mu_2 * theta_bar_tilde_2 @ theta_bar_tilde_2 @ (v_2 @ theta_bar_2.T) - 1/2 * v_tilde_2) @ T_s_inv_2
K_h = np.zeros((7, 7), dtype=float)
K_h[1: 4, 1: 4] = K_h1
K_h[4: 7, 4: 7] = K_h2
K_a = B_a.T @ k_l @ B_a + K_h
f_a = B_a.T @ f_l
return K_a, f_a
def G_matrix(self):
q_1, q_2, q = self.auxiliary_vector()
R_g = self.current_local_frame()
q1, q2 = (R_g.T @ q)[0: 2]
q11, q12 = (R_g.T @ q_1)[0: 2]
q21, q22 = (R_g.T @ q_2)[0: 2]
eta = q1 / q2
eta_11 = q11 / q2
eta_12 = q12 / q2
eta_21 = q21 / q2
eta_22 = q22 / q2
l = self.current_length()
G = np.array([
[0, 0, eta/l, eta_12/2, -eta_11/2, 0, 0,
0, -eta/l, eta_22/2, -eta_21/2, 0],
[0, 0, 1/l, 0, 0, 0,
0, 0, -1/l, 0, 0, 0],
[0, -1/l, 0, 0, 0, 0,
0, 1/l, 0, 0, 0, 0]], dtype=float).T
return G
def r_vector(self):
r_1 = (self.current_coordinate_node_2() -
self.current_coordinate_node_1()) / self.current_length()
r = np.zeros((1, 12), dtype=float)
r[:, 0: 3], r[:, 6: 9] = -r_1.T, r_1.T
return r
def P_matrix(self):
G = self.G_matrix()
temp1, temp2 = np.zeros((6, 12), dtype=float), np.zeros(
(6, 12), dtype=float)
temp1[0: 3, 3: 6], temp1[3: 6, 9: 12] = np.eye(3), np.eye(3)
temp2[0: 3, :], temp2[3: 6, :] = G.T, G.T
return temp1 - temp2
def E_matrix(self):
E = np.zeros((12, 12), dtype=float)
R_g = self.current_local_frame()
E[0: 3, 0: 3] = R_g
E[3: 6, 3: 6] = R_g
E[6: 9, 6: 9] = R_g
E[9: 12, 9: 12] = R_g
return E
def Bg_matrix(self):
return np.r_[self.r_vector(), self.P_matrix() @ self.E_matrix().T]
def global_stiffness_force(self):
B_g = self.Bg_matrix()
K_a, f_a = self.a_stiffness_force()
l = self.current_length()
r_1 = (self.current_coordinate_node_2() -
self.current_coordinate_node_1()) / l
G = self.G_matrix()
r = self.r_vector()
E = self.E_matrix()
# -----------------------------------------
# D_mat
D_3 = 1/l * (np.eye(3) - r_1 @ r_1.T)
D = np.zeros((12, 12), dtype=float)
D[0: 3, 0: 3] = D_3
D[0: 3, 6: 9] = -D_3
D[6: 9, 0: 3] = -D_3
D[6: 9, 6: 9] = D_3
# -----------------------------------------
# Q_mat
P = self.P_matrix()
temp = P.T @ f_a[1: 7]
n_1, m_1, n_2, m_2 = temp[0: 3], temp[3: 6], temp[6: 9], temp[9: 12]
Q = np.zeros((12, 3), dtype=float)
Q[0: 3, 0: 3] = util.get_skew_symmetric(n_1)
Q[3: 6, 0: 3] = util.get_skew_symmetric(m_1)
Q[6: 9, 0: 3] = util.get_skew_symmetric(n_2)
Q[9: 12, 0: 3] = util.get_skew_symmetric(m_2)
# -----------------------------------------
# a_vec
eta = float(G[2, 0]) * l
a = np.array([[0.0, float(eta/l * (f_a[1] + f_a[4]) - 1 /
l * (f_a[2] + f_a[5])), float(1/l * (f_a[3] + f_a[6]))]]).T
# -----------------------------------------
# K_mmat
K_m = D * f_a[0] - E @ Q @ G.T @ E.T + E @ G @ a @ r
# -----------------------------------------
K_g = B_g.T @ K_a @ B_g + K_m
f_g = B_g.T @ f_a
return K_g, f_g
| 64.346622 | 11,489 | 0.513742 | 8,119 | 58,105 | 3.551792 | 0.044464 | 0.009918 | 0.009779 | 0.036238 | 0.775844 | 0.65839 | 0.593335 | 0.53303 | 0.501508 | 0.482366 | 0 | 0.326069 | 0.339024 | 58,105 | 902 | 11,490 | 64.41796 | 0.424777 | 0.117064 | 0 | 0.170732 | 0 | 0 | 0.003725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.007317 | 0.043902 | 0.207317 | 0.002439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a6905164b6b14b94548e1e5c13eeef0d9a9934c3 | 740 | py | Python | test/test_0_loggers.py | rileyhazard/SmartVA-Analyze-1 | 0573eeff27d03f54e7506db4f1631c0cd9f54bbb | [
"MIT"
] | 4 | 2019-01-23T12:57:47.000Z | 2020-04-18T17:13:08.000Z | test/test_0_loggers.py | rileyhazard/SmartVA-Analyze-1 | 0573eeff27d03f54e7506db4f1631c0cd9f54bbb | [
"MIT"
] | 4 | 2019-01-09T22:10:07.000Z | 2022-02-16T04:57:06.000Z | test/test_0_loggers.py | rileyhazard/SmartVA-Analyze-1 | 0573eeff27d03f54e7506db4f1631c0cd9f54bbb | [
"MIT"
] | 11 | 2018-12-11T22:01:13.000Z | 2022-01-07T11:38:02.000Z | import logging
import os
import pytest
# import subprocess
from smartva.utils import status_notifier
from smartva.loggers import status_logger, warning_logger
from test_utils.status_handler import StatusHandler
@pytest.fixture
def warning_file(tmpdir):
return os.path.abspath(tmpdir.join('warnings.txt').strpath)
@pytest.fixture
def status_file(tmpdir):
return os.path.abspath(tmpdir.join('status.txt').strpath)
def test_loggers(warning_file, status_file, tmpdir):
# subprocess.call(['open', tmpdir.strpath])
status_logger.addHandler(logging.FileHandler(status_file, mode='w'))
status_notifier.register(StatusHandler(status_logger.info))
warning_logger.addHandler(logging.FileHandler(warning_file, mode='w'))
| 28.461538 | 74 | 0.793243 | 97 | 740 | 5.886598 | 0.360825 | 0.063047 | 0.056042 | 0.063047 | 0.136602 | 0.136602 | 0.136602 | 0.136602 | 0 | 0 | 0 | 0 | 0.101351 | 740 | 25 | 75 | 29.6 | 0.858647 | 0.07973 | 0 | 0.125 | 0 | 0 | 0.035398 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.375 | 0.125 | 0.6875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 3 |
a6928eb0d8555573daf7d2956495020a6d0c5e3d | 1,932 | py | Python | mid_software/Honeywell_UDC3500_Interface.py | bluthen/isadore_electronics | c207be3bacd1fe360d70753410896610e23f216b | [
"Apache-2.0"
] | null | null | null | mid_software/Honeywell_UDC3500_Interface.py | bluthen/isadore_electronics | c207be3bacd1fe360d70753410896610e23f216b | [
"Apache-2.0"
] | null | null | null | mid_software/Honeywell_UDC3500_Interface.py | bluthen/isadore_electronics | c207be3bacd1fe360d70753410896610e23f216b | [
"Apache-2.0"
] | null | null | null | # Copyright 2010-2019 Dan Elliott, Russell Valentine
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import math
from pymodbus.client.sync import ModbusTcpClient
class TCP_connection(object):
""" Handles opening and closing connections to a UDC3500 """
# TODO: add exceptions
def __init__(self,slaveAddy):
""" blah blah blah """
""" param slaveAddy: a string representation of the UDC's IP address"""
self.client = ModbusTcpClient(host=slaveAddy)
def getClient(self):
self.client.close() # kinda a POS
if not self.client.connect(): # make sure it can be re-opened
# TODO: throw exception
pass
return self.client
def __del__(self):
self.client.close() # kill it once and for all, i suppose
def getPV(conn):
# TODO: add exception handling
rsp = conn.getClient().read_holding_registers(0x0000,1)
return rsp.getRegister(0) / 10.
def getSP(conn):
# TODO: add exception handling
rsp = conn.getClient().read_input_registers(0x0002,1)
return rsp.getRegister(0) / 10.
def setSP(conn,newSP):
# TODO: add exception handling
intSP = int(math.floor(newSP * 10.))
rsp = conn.getClient().write_register(0x0002,intSP)
return True
def getOutput(conn):
# TODO: add exception handling
rsp = conn.getClient().read_input_registers(0x0003,1)
return rsp.getRegister(0)/2.
| 36.45283 | 79 | 0.689441 | 264 | 1,932 | 4.984848 | 0.549242 | 0.045593 | 0.048632 | 0.072948 | 0.18845 | 0.171733 | 0.171733 | 0.130699 | 0.130699 | 0.094225 | 0 | 0.03245 | 0.218427 | 1,932 | 52 | 80 | 37.153846 | 0.839073 | 0.465839 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02589 | 0.019231 | 0 | 1 | 0.28 | false | 0.04 | 0.08 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
a696c97f6d40070921213e14ab5780b1ff444501 | 887 | py | Python | app/mongo/data/collect/images/mongo.py | jgphilpott/polyMaker | 33ab5ecdba277d1765ffdaebb77f0bab2480dc46 | [
"MIT"
] | null | null | null | app/mongo/data/collect/images/mongo.py | jgphilpott/polyMaker | 33ab5ecdba277d1765ffdaebb77f0bab2480dc46 | [
"MIT"
] | null | null | null | app/mongo/data/collect/images/mongo.py | jgphilpott/polyMaker | 33ab5ecdba277d1765ffdaebb77f0bab2480dc46 | [
"MIT"
] | null | null | null | from mongo.data.collect.ions import mongo_collection
collection = mongo_collection("images")
def new_image(image):
return str(collection.insert_one(image).inserted_id)
def new_images(images):
return str(collection.insert_many(images).inserted_ids)
def find_image(query={}, filter={"_id": 0}):
return dict(collection.find_one(query, filter))
def find_images(query={}, filter={"_id": 0}, sort=[("id", 1)], limit=0):
collection.create_index(sort)
return list(collection.find(query, filter).sort(sort).limit(limit))
def update_image(image):
return collection.update_one({"id": image["id"]}, {"$set": image})
def update_images(images):
for image in images:
update_image(image)
def delete_image(image):
return collection.delete_one({"id": image["id"]})
def delete_images(images):
for image in images:
delete_image(image)
| 21.119048 | 72 | 0.702368 | 122 | 887 | 4.92623 | 0.286885 | 0.083195 | 0.079867 | 0.083195 | 0.093178 | 0.093178 | 0 | 0 | 0 | 0 | 0 | 0.005291 | 0.147689 | 887 | 41 | 73 | 21.634146 | 0.789683 | 0 | 0 | 0.095238 | 0 | 0 | 0.029312 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.380952 | false | 0 | 0.047619 | 0.238095 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
a6a1cc493653cb9c32fc98a3e3034f8d633c3abe | 37,109 | py | Python | easyocr/config.py | tsis-mobile-technology/EasyOCR | 981102f2910b1c6e8feacdc5f9575ebc80a4caec | [
"Apache-2.0"
] | null | null | null | easyocr/config.py | tsis-mobile-technology/EasyOCR | 981102f2910b1c6e8feacdc5f9575ebc80a4caec | [
"Apache-2.0"
] | null | null | null | easyocr/config.py | tsis-mobile-technology/EasyOCR | 981102f2910b1c6e8feacdc5f9575ebc80a4caec | [
"Apache-2.0"
] | null | null | null | import os
os.environ["LRU_CACHE_CAPACITY"] = "1"
BASE_PATH = os.path.dirname(__file__)
MODULE_PATH = os.environ.get("EASYOCR_MODULE_PATH") or \
os.environ.get("MODULE_PATH") or \
os.path.expanduser("~/.EasyOCR/")
# detector parameters
detection_models = {
'craft' : {
'filename': 'craft_mlt_25k.pth',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/craft_mlt_25k.zip',
'filesize': '2f8227d2def4037cdb3b34389dcf9ec1'
}
}
# recognizer parameters
latin_lang_list = ['af','az','bs','cs','cy','da','de','en','es','et','fr','ga',\
'hr','hu','id','is','it','ku','la','lt','lv','mi','ms','mt',\
'nl','no','oc','pi','pl','pt','ro','rs_latin','sk','sl','sq',\
'sv','sw','tl','tr','uz','vi']
arabic_lang_list = ['ar','fa','ug','ur']
bengali_lang_list = ['bn','as','mni']
cyrillic_lang_list = ['ru','rs_cyrillic','be','bg','uk','mn','abq','ady','kbd',\
'ava','dar','inh','che','lbe','lez','tab','tjk']
devanagari_lang_list = ['hi','mr','ne','bh','mai','ang','bho','mah','sck','new',\
'gom','sa','bgc']
other_lang_list = ['th','ch_sim','ch_tra','ja','ko','ta','te','kn']
all_lang_list = latin_lang_list + arabic_lang_list+ cyrillic_lang_list +\
devanagari_lang_list + bengali_lang_list + other_lang_list
imgH = 64
separator_list = {
'th': ['\xa2', '\xa3'],
'en': ['\xa4', '\xa5']
}
separator_char = []
for lang, sep in separator_list.items():
separator_char += sep
recognition_models = {
'gen1' : {
'latin_g1':{
'filename': 'latin.pth',
'model_script': 'latin',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/latin.zip',
'filesize': 'fb91b9abf65aeeac95a172291b4a6176',
'characters': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyzÀÁÂÃÄÅÆÇÈÉÊËÍÎÑÒÓÔÕÖØÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöøùúûüýþÿąęĮįıŁłŒœŠšųŽž",
'symbols': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ "
},
'zh_tra_g1':{
'filename': 'chinese.pth',
'model_script': 'chinese_tra',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/chinese.zip',
'filesize': 'dfba8e364cd98ed4fed7ad54d71e3965',
'characters': '0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ 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靄靈青靖靚靛靜非靠靡面靨革靳靴靶靼鞅鞋鞍鞏鞘鞠鞣鞭韁韃韋韌韓韜韞韭音韶韻響頁頂頃項順須頊頌頏預頑頒頓頗領頜頡頤頦頭頰頷頸頹頻顆題額顎顏顒顓願顙顛類顥顧顫顯顱風颯颱颶飄飆飛食飢飩飪飭飯飲飴飼飽飾餅餉養餌餐餒餓餘餚餛餞餡館餬餵餽餾饅饈饋饌饑饒饕饗首馗香馥馨馬馭馮馳馴駁駐駒駕駙駛駝駭駱駿騁騎騏騑騙騧騫騰騷騾驁驃驄驅驊驍驕驗驚驛驟驢驤驩驪骨骰骷骸骼髀髏髒髓體髖高髦髮髯髻鬃鬆鬍鬘鬚鬟鬣鬥鬧鬩鬯鬱鬲鬻鬼魁魂魄魅魋魏魔魚魨魯魴魷鮆鮑鮚鮠鮨鮪鮫鮭鮮鮸鯁鯉鯊鯔鯖鯛鯡鯧鯨鯰鯽鰈鰍鰓鰨鰭鰲鰻鱄鱈鱔鱗鱘鱠鱧鱨鱷鱸鱺鳥鳩鳳鳴鳶鴉鴒鴛鴞鴦鴨鴻鴿鵝鵠鵡鵪鵬鵰鵲鶉鶩鶯鶴鶿鷗鷳鷸鷹鷺鸕鸚鸛鸞鹵鹹鹼鹽鹿麂麇麋麒麓麗麝麟麥麩麴麵麻麼麾黃黎黏黑黔默黛黜點黠黧黨黯黴黷黼鼎鼐鼓鼠鼬鼻齊齋齒齡齣齦齧龍龐龔龕龜龢',
'symbols': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ "
},
'zh_sim_g1':{
'filename': 'chinese_sim.pth',
'model_script': 'chinese_sim',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/chinese_sim.zip',
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'symbols': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ "
},
'japanese_g1':{
'filename': 'japanese.pth',
'model_script': 'japanese',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/japanese.zip',
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},
'thai_g1':{
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'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/thai.zip',
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},
'devanagari_g1':{
'filename': 'devanagari.pth',
'model_script': 'devanagari',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/devanagari.zip',
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},
'cyrillic_g1':{
'filename': 'cyrillic.pth',
'model_script': 'cyrillic',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/cyrillic.zip',
'filesize': '5a046f7be2a4f7da6ed50740f487efa8',
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},
'arabic_g1':{
'filename': 'arabic.pth',
'model_script': 'arabic',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/arabic.zip',
'filesize': '993074555550e4e06a6077d55ff0449a',
'symbols': '«»؟،؛٠١٢٣٤٥٦٧٨٩' + '0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ ',
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},
'tamil_g1':{
'filename': 'tamil.pth',
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'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.1.7/tamil.zip',
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'symbols': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ ",
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},
'bengali_g1':{
'filename': 'bengali.pth',
'model_script': 'bengali',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.1.8/bengali.zip',
'filesize': 'cea9e897e2c0576b62cbb1554997ce1c',
'symbols': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ ",
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},
},
'gen2' : {
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'model_script': 'english',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/english_g2.zip',
'filesize': '5864788e1821be9e454ec108d61b887d',
'symbols': "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ €",
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'latin_g2':{
'filename': 'latin_g2.pth',
'model_script': 'latin',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/latin_g2.zip',
'filesize': '469869130aad1a34e8f9086f4262bc59',
'symbols': " !\"#$%&'()*+,-./0123456789:;<=>?@[\\]^_`{|}~ €",
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},
'zh_sim_g2':{
'filename': 'zh_sim_g2.pth',
'model_script': 'chinese_sim',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/zh_sim_g2.zip',
'filesize': 'b601ce7143293387d3ec4f41a66edc07',
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'characters': " 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},
'japanese_g2':{
'filename': 'japanese_g2.pth',
'model_script': 'japanese',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/japanese_g2.zip',
'filesize': 'bad5146990ccb1272cb0908440fbe15e',
'symbols': " !\"#$%&'()*+,-./0123456789:;<=>?@[\\]^_`{|}~‥…※♪、。々〈〉《》「」『』【】〔〕",
'characters': " !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~‥…※♪、。々〈〉《》「」『』【】〔〕あぃいうぇえおかがきぎくぐけげこごさざしじすずせぜそぞただちぢっつづてでとどなにぬねのはばぱひびぴふぶぷへべぺほぼぽまみむめもゃやゅゆょよらりるれろわをんァアィイゥウェエォオカガキギクグケゲコゴサザシジスズセゼソゾタダチヂッツヅテデトドナニヌネノハバパヒビピフブプヘベペホボポマミムメモャヤュユョヨラリルレロワヱヲンヴヶ・ー一丁七万丈三上下不与丑世丘丙丞両並中串丸丹主乃久之乗乙九也乱乳乾亀了予争事二互五井亘亜亡交亥亨享京亭亮人仁今介仏仕他付仙代令以仮仰仲件任企伊伍伎伏休会伝伯伴伶伸似伽位低住佐佑体何余作佳使例侍侑供依価便係俊俗保信俣修俵倉個倍倒倖候借値倫倭倶偉偏健側偵偽傍傑備債傷働像僧儀優允元兄充先光克免兎児党入全八公六共兵其具典兼内円再写冠冨冬冴冶冷凍凡処凪出刀刃分切刈刑列初判別利制刷券刺刻則削前剛剣剤剥副割創劇力功加助労効勅勇勉動勘務勝勢勤勧勲包化北匠匡区医十千升午半卒卓協南単博占卯印危即卵卸厚原厨厳去参又叉及友双反収取受叡口古句只叫召可台史右叶号司各合吉同名后吏吐向君吟否吸吹吾呂呉告呑周味呼命和咲哀品哉員哲唄唐唯唱商問啓善喜喬喰営嗣嘉噌器四回因団囲図固国國園土圧在圭地坂均坊坐坪垂型垢垣埋城埜域執基埼堀堂堅堤堰報場堺塔塗塚塩塵境墓増墨墳壁壇壊士壬壮声壱売壷変夏夕外多夜夢大天太夫央失夷奇奈奉奏契奥奨女奴好如妃妙妹妻姉始姓委姥姫姿威娘婆婚婦嫌嬉子孔字存孝孟季孤学孫宅宇守安完宏宗官宙定宜宝実客宣室宥宮宰害家容宿寂寄寅密富寒寛寝察寧審寸寺対寿封専射将尊尋導小少尚尭就尺尻尼尽尾尿局居屈屋展属層屯山岐岡岩岬岱岳岸峠峡峨峯峰島峻崇崎崩嵐嵩嵯嶋嶺巌川州巡巣工左巧巨差己巳巴巻巾市布帆希帝師席帯帰帳常帽幅幌幕幡幣干平年幸幹幽幾庁広庄床序底店府度座庫庭庵康庸廃廉廣延建廻弁式弐弓引弘弟弥弦弱張強弾当形彦彩彪彫彬彰影役彼往征径待律後徒従得御復微徳徹心必忌忍志応忠快念怒怜思急性恋恐恒恩恭息恵悌悟悠患悦悪悲情惇惑惟惣想意愚愛感慈態慎慣慧慶憂憲憶懐懸戎成我戒戦戯戸戻房所扇手才打払扶承技投抗折抜抱押担拓拝拡拳拾持指挙振捕捨捷掃排掘掛採探接推掻提揖揚換揮援揺損摂摘摩摺撃撫播撮操擦擬支改攻放政故敏救敗教敢散敦敬数整敵敷文斉斎斐斑斗料斜斤断斯新方於施旅旋族旗日旦旧旨早旬旭旺昂昆昇昌明易星映春昭是昼時晃晋晩普景晴晶智暁暖暗暢暦暮暴曇曙曜曲曳更書曹曽曾替最月有朋服朔朗望朝期木未末本札朱朴杉李杏材村杖杜束条来杭東杵松板析枕林枚果枝枯架柄柊柏柑染柔柚柱柳柴査柿栃栄栖栗校株核根格桂桃案桐桑桜桝桧桶梁梅梓梢梨梯械梶棄棒棚棟森椋植椎検椿楊楓楠楢業楯極楼楽榊榎榛構槌様槙槻樋標模権横樫樹樺樽橋橘機檀櫛欠次欣欧欲欽歌歓止正此武歩歯歳歴死殊残殖段殺殻殿毅母毎毒比毛氏民気水氷永汀汁求汐汗汚江池汰汲決沈沓沖沙沢河油治沼泉泊法波泣泥注泰洋洗洞津洪洲活派流浄浅浜浦浩浪浮浴海消涌涙液涼淀淑淡深淳淵混添清済渉渋渓渕渚減渡渥温測港湊湖湧湯湾湿満源準溜溝溶滅滋滑滝漁漆漏演漢漬潔潜潟潤潮潰澄澤激濃濱瀧瀬灘火灯灰災炉炎炭点為烈烏無焦然焼煙照煮熊熟熱燃燈燕燦燭爆爪父爽爾片版牛牟牧物特犬犯状狂狐狗狩独狭狼猛猪猫献猿獄獅獣玄率玉王玖玲珍珠現球理琉琢琳琴瑚瑛瑞瑠瑳璃環瓜瓦瓶甘甚生産用甫田由甲申男町画界畑畔留畜畝畠略番異畳疾病症痛療発登白百的皆皇皮皿盆益盗盛盟監盤目盲直相省眉看県眞真眠眼着督睦瞬瞳矢知矩短石砂研砲破硫硬碑碧碩確磁磐磨磯礁示礼社祇祈祉祐祖祝神祢祥票祭禁禄禅禎福禰秀私秋科秘秦秩称移稀程税稔稗稚種稲穂積穏穴究空突窓窪立竜章童竪端競竹笑笛笠符第笹筆等筋筑筒答策箇箕算管箱箸節範築篠篤篭簡簾籍米粉粒粕粗粟粥精糖糞糠糸系紀約紅紋納純紗紘紙級素紡索紫細紳紹紺終組経結絡絢給統絵絶絹継続綜維綱網綾綿緋総緑緒線締編緩練縁縄縦縫縮績繁織繰罪置羅羊美群義羽翁習翔翠翼耀老考者耐耕耳耶聖聞聡聴職肇肉肌肝股肥肩育肺背胞胡胤胸能脂脇脈脚脱脳腐腕腫腰腸腹膜膳臣臥臨自臭至致臼興舌舎舘舛舜舞舟航般船艦良色艶芋芙芝芥芦花芳芸芹芽苅苑苔苗若苦苫英茂茄茅茉茜茨茶草荒荘荷荻莉菅菊菌菓菖菜華菱萌萩萱落葉葛葦葵蒔蒲蒸蒼蓋蓑蓬蓮蔦蔭蔵蕗薄薩薫薬薮藁藍藤藻蘇蘭虎虚虫虹虻蚊蛇蛍蛭蜂蜜蝦蝶融螺蟹蟻血衆行術街衛衝衡衣表袋袖被裁裂装裏裕補裟裸製複西要覆覇見規視覚覧親観角解触言計訓託記訪設許訳訴診証評詞詠試詩詰話誉誌認誓誘語誠誤説読課調談請諏論諭諸謙講謝謹識警議譲護讃谷豆豊豚象豪貝貞負財貢貧貨販貫責貯貴買貸費賀賃資賞賢質赤赦走起超越足跡路跳踏身車軌軍軒軟転軸軽載輔輝輪輸辛辞辰農辺辻込迎近返迦迫述迷追退送逃逆透途通速造逢連週進逸遅遊運過道達違遠遣遥適選遺遼避邑那邦邪郁郎郡部郭郵郷都配酒酔酢酸醍醐采釈里重野量金釘釜針釣鈴鉄鉛鉢鉱鉾銀銃銅銘銭鋭鋼錦録鍋鍛鍬鍵鎌鎖鎮鏡鐘鑑長門閉開閑間関閣闇闘阪防阿陀附降限院陣除陰陳陵陶陸険陽隅隆隈隊階随隔際障隠隣隼雀雁雄雅集雑雛離難雨雪雲零雷電震霊霜霞霧露青靖静非面革鞍鞠韓音響頂頃項順須預頓領頭頼題額顔顕願類風飛食飯飲飼飽飾餅養館首香馨馬駄駅駆駐駒駿騎験骨高髪鬼魁魂魅魔魚鮎鮫鮮鯉鯨鳥鳩鳳鳴鴨鴻鵜鶏鶴鷲鷹鷺鹿麓麗麦麻麿黄黒黙鼓鼠鼻齢龍＊"
},
'korean_g2':{
'filename': 'korean_g2.pth',
'model_script': 'korean',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/korean_g2.zip',
'filesize': 'befecf7b1ca2fffb5af814a51443682d',
'symbols': " !\"#$%&'()*+,-./0123456789:;<=>?@[\\]^_`{|}~",
'characters': " !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~가각간갇갈감갑값강갖같갚갛개객걀거걱건걷걸검겁것겉게겨격겪견결겹경곁계고곡곤곧골곰곱곳공과관광괜괴굉교구국군굳굴굵굶굽궁권귀규균그극근글긁금급긋긍기긴길김깅깊까깎깐깔깜깝깥깨꺼꺾껍껏껑께껴꼬꼭꼴꼼꼽꽂꽃꽉꽤꾸꿀꿈뀌끄끈끊끌끓끔끗끝끼낌나낙낚난날낡남납낫낭낮낯낱낳내냄냉냐냥너넉널넓넘넣네넥넷녀녁년념녕노녹논놀놈농높놓놔뇌뇨누눈눕뉘뉴늄느늑는늘늙능늦늬니닐님다닥닦단닫달닭닮담답닷당닿대댁댐더덕던덜덤덥덧덩덮데델도독돈돌돕동돼되된두둑둘둠둡둥뒤뒷드득든듣들듬듭듯등디딩딪따딱딴딸땀땅때땜떠떡떤떨떻떼또똑뚜뚫뚱뛰뜨뜩뜯뜰뜻띄라락란람랍랑랗래랜램랫략량러럭런럴럼럽럿렁렇레렉렌려력련렬렵령례로록론롬롭롯료루룩룹룻뤄류륙률륭르른름릇릎리릭린림립릿마막만많말맑맘맙맛망맞맡맣매맥맨맵맺머먹먼멀멈멋멍멎메멘멩며면멸명몇모목몰몸몹못몽묘무묵묶문묻물뭄뭇뭐뭣므미민믿밀밉밌및밑바박밖반받발밝밟밤밥방밭배백뱀뱃뱉버번벌범법벗베벤벼벽변별볍병볕보복볶본볼봄봇봉뵈뵙부북분불붉붐붓붕붙뷰브블비빌빗빚빛빠빨빵빼뺨뻐뻔뻗뼈뽑뿌뿐쁘쁨사삭산살삶삼상새색샌생서석섞선설섬섭섯성세센셈셋션소속손솔솜솟송솥쇄쇠쇼수숙순술숨숫숲쉬쉽슈스슨슬슴습슷승시식신싣실싫심십싱싶싸싹쌀쌍쌓써썩썰썹쎄쏘쏟쑤쓰쓸씀씌씨씩씬씹씻아악안앉않알앓암압앗앙앞애액야약얇양얗얘어억언얹얻얼엄업없엇엉엌엎에엔엘여역연열엷염엽엿영옆예옛오옥온올옮옳옷와완왕왜왠외왼요욕용우욱운울움웃웅워원월웨웬위윗유육율으윽은을음응의이익인일읽잃임입잇있잊잎자작잔잖잘잠잡장잦재쟁저적전절젊점접젓정젖제젠젯져조족존졸좀좁종좋좌죄주죽준줄줌줍중쥐즈즉즌즐즘증지직진질짐집짓징짙짚짜짝짧째쨌쩌쩍쩐쪽쫓쭈쭉찌찍찢차착찬찮찰참창찾채책챔챙처척천철첫청체쳐초촉촌총촬최추축춘출춤춥춧충취츠측츰층치칙친칠침칭카칸칼캐캠커컨컬컴컵컷켓켜코콜콤콩쾌쿠퀴크큰클큼키킬타탁탄탈탑탓탕태택탤터턱털텅테텍텔템토톤톱통퇴투툼퉁튀튜트특튼튿틀틈티틱팀팅파팎판팔패팩팬퍼퍽페펴편펼평폐포폭표푸푹풀품풍퓨프플픔피픽필핏핑하학한할함합항해핵핸햄햇행향허헌험헤헬혀현혈협형혜호혹혼홀홍화확환활황회획횟효후훈훌훔훨휘휴흉흐흑흔흘흙흡흥흩희흰히힘"
},
'telugu_g2':{
'filename': 'telugu.pth',
'model_script': 'telugu',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.2/telugu.zip',
'filesize': 'f7576012a3abe593950c47bfa1bd8ddc',
'symbols': '0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ ',
'characters': '0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZఁంఃఅఆఇఈఉఊఋఌఎఏఐఒఓఔకఖగఘఙచఛజఝఞటఠడఢణతథదధనపఫబభమయరఱలళవశషసహాిీుూృౄెేైొోౌ్ౠౡౢౣ'
},
'kannada_g2':{
'filename': 'kannada.pth',
'model_script': 'kannada',
'url': 'https://github.com/JaidedAI/EasyOCR/releases/download/v1.2/kannada.zip',
'filesize': 'c240c97e4adb8773b53b3b3dec728627',
'symbols': '0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ ',
'characters': '0123456789!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZಂಃಅಆಇಈಉಊಋಎಏಐಒಓಔಕಖಗಘಙಚಛಜಝಞಟಠಡಢಣತಥದಧನಪಫಬಭಮಯರಲಳವಶಷಸಹಾಿೀುೂೃೆೇೈೊೋೌ್೦೧೨೩೪೫೬೭೮೯'
},
}
}
| 192.274611 | 6,748 | 0.865666 | 839 | 37,109 | 38.324195 | 0.315852 | 0.004727 | 0.008273 | 0.010045 | 0.051409 | 0.037103 | 0.037103 | 0.037103 | 0.037103 | 0.037103 | 0 | 0.025321 | 0.059204 | 37,109 | 192 | 6,749 | 193.276042 | 0.890697 | 0.001105 | 0 | 0.108696 | 0 | 0.070652 | 0.112559 | 0.016404 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.005435 | 0 | 0.005435 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a6c0be94fe9ccb56867f06ea36598ab7f38acb77 | 219 | py | Python | teamcat_service/docker_build/target/one_step_build/teamcat/unitest/doraemon/exception_test/TestException.py | zhangyin2088/Teamcat | be9be8d7c1e58c8d2d22ab78d25783d9aee4de71 | [
"Apache-2.0"
] | 6 | 2018-11-26T08:42:52.000Z | 2020-06-01T08:33:48.000Z | teamcat_service/docker_build/target/one_step_build/teamcat/unitest/doraemon/exception_test/TestException.py | zhangyin2088/Teamcat | be9be8d7c1e58c8d2d22ab78d25783d9aee4de71 | [
"Apache-2.0"
] | null | null | null | teamcat_service/docker_build/target/one_step_build/teamcat/unitest/doraemon/exception_test/TestException.py | zhangyin2088/Teamcat | be9be8d7c1e58c8d2d22ab78d25783d9aee4de71 | [
"Apache-2.0"
] | 1 | 2019-01-22T06:45:36.000Z | 2019-01-22T06:45:36.000Z | #coding=utf-8
'''
Created on 2016-10-28
@author: Administrator
'''
class TestException(object):
'''
classdocs
'''
@staticmethod
def exception_1():
raise Exception("fdsfdsfsd")
| 13.6875 | 36 | 0.584475 | 21 | 219 | 6.047619 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063291 | 0.278539 | 219 | 16 | 37 | 13.6875 | 0.740506 | 0.310502 | 0 | 0 | 0 | 0 | 0.069767 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a6d1ef08f9c172128af4162d2d1f4cc9684cd613 | 87 | py | Python | jaqs/research/__init__.py | WestXu/JAQS | 3c9389afab518f188b8628af72297d750c07dfb1 | [
"Apache-2.0"
] | 602 | 2017-11-21T00:39:40.000Z | 2022-03-16T06:13:08.000Z | jaqs/research/__init__.py | WestXu/JAQS | 3c9389afab518f188b8628af72297d750c07dfb1 | [
"Apache-2.0"
] | 63 | 2017-12-08T08:21:16.000Z | 2020-03-07T13:57:35.000Z | jaqs/research/__init__.py | WestXu/JAQS | 3c9389afab518f188b8628af72297d750c07dfb1 | [
"Apache-2.0"
] | 365 | 2017-11-21T01:38:36.000Z | 2022-03-30T15:55:30.000Z | # encoding: utf-8
from .signaldigger import SignalDigger
__all__ = ['SignalDigger']
| 12.428571 | 38 | 0.747126 | 9 | 87 | 6.777778 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 0.149425 | 87 | 6 | 39 | 14.5 | 0.810811 | 0.172414 | 0 | 0 | 0 | 0 | 0.171429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
a6e70f719a0f188bba46506e6d0454a4ab26892b | 122 | py | Python | beta/src/FieldReach.py | Odusseus/python | 98380cfab0f147fa0b3ac652006e11f482ebbcfc | [
"MIT"
] | null | null | null | beta/src/FieldReach.py | Odusseus/python | 98380cfab0f147fa0b3ac652006e11f482ebbcfc | [
"MIT"
] | null | null | null | beta/src/FieldReach.py | Odusseus/python | 98380cfab0f147fa0b3ac652006e11f482ebbcfc | [
"MIT"
] | null | null | null | class FieldReach():
def __init__(self, fieldId, isReached = False):
self.id = fieldId
self.isReached = isReached | 30.5 | 49 | 0.704918 | 14 | 122 | 5.857143 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188525 | 122 | 4 | 50 | 30.5 | 0.828283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a6f4a671f9f11abd27582b5ef4cf89d5100a4417 | 302 | py | Python | core/util.py | jepret/jepret-backend | 2a892e1a7141da09d286b14f47769c3e6f4c0979 | [
"MIT"
] | null | null | null | core/util.py | jepret/jepret-backend | 2a892e1a7141da09d286b14f47769c3e6f4c0979 | [
"MIT"
] | 6 | 2021-03-19T01:58:42.000Z | 2022-03-11T23:52:43.000Z | core/util.py | jepret/jepret-backend | 2a892e1a7141da09d286b14f47769c3e6f4c0979 | [
"MIT"
] | null | null | null | from string import ascii_letters
from flask import jsonify
from random import choice
def respond_data(data, status_code=200):
return jsonify({"data": data, "code": status_code}), status_code
def generate_random_str(length=30):
return "".join([choice(ascii_letters) for _ in range(length)])
| 25.166667 | 68 | 0.758278 | 44 | 302 | 5 | 0.545455 | 0.136364 | 0.127273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019157 | 0.135762 | 302 | 11 | 69 | 27.454545 | 0.823755 | 0 | 0 | 0 | 0 | 0 | 0.02649 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.428571 | 0.285714 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 |
5b275eeadcf1bdb6b8226782f91d78138b370c5e | 18,847 | py | Python | training/Tuning_SVM.py | bateman/twitpersonality | 0d25ecf617f414f55f472144e8f57026b5cca1c3 | [
"Apache-2.0"
] | 21 | 2018-08-05T15:13:00.000Z | 2021-09-29T04:42:30.000Z | training/Tuning_SVM.py | bateman/twitpersonality | 0d25ecf617f414f55f472144e8f57026b5cca1c3 | [
"Apache-2.0"
] | 5 | 2019-02-10T12:48:32.000Z | 2021-06-16T10:30:22.000Z | training/Tuning_SVM.py | bateman/twitpersonality | 0d25ecf617f414f55f472144e8f57026b5cca1c3 | [
"Apache-2.0"
] | 7 | 2019-07-12T12:41:43.000Z | 2022-03-24T14:27:04.000Z | from sklearn.model_selection import KFold, cross_val_score
from sklearn.metrics import mean_squared_error
from scipy.stats.stats import pearsonr
import numpy as np
from sklearn.svm import SVR
import datasetUtils as dsu
import embeddings
import sys
import os
def pccMean(arr):
pcc_only = np.array(list(scor[0] for scor in arr))
pcc_only = pcc_only[np.where(~np.isnan(pcc_only))]
if len(pcc_only) != 0:
mean_score = np.mean(pcc_only)
else: #all elements are nan
mean_score = "nan"
return mean_score
#configs
post_threshold = 3
#parse cmd arguments
if len(sys.argv) != 5 or sys.argv[1] not in ['O','C','E','A','N','o','c','e','a','n'] or sys.argv[2] not in ['fasttext', 'dataset9'] or not os.path.exists(sys.argv[3]) or sys.argv[4] not in ['True', 'False', 'yes', 'no']:
print("Usage:", sys.argv[0], "<BIG5_trait> <embeddings_dataset> <dataset_path> <shuffle_data>")
print("\tBIG5_trait: [O, C, E, A, N, o, c, e, a, n]")
print("\tembeddings_dataset: [fasttext, dataset9]")
print("\tdataset_path: [path/to/the/file]")
print("\tshuffle_data: [yes, no], [True, False]")
sys.exit(1)
else:
big5 = sys.argv[1].upper()
dataset = sys.argv[2]
dataset_path = sys.argv[3]
shuffle = sys.argv[4]
posts = []
yO = []
yC = []
yE = []
yA = []
yN = []
print("Loading myPersonality...")
[posts, yO, yC, yE, yA, yN] = dsu.readMyPersonality()
print("Loading embeddings dataset...")
if dataset == 'fasttext':
transform = True
wordDictionary = dsu.parseFastText(dataset_path)
else:
transform = False
wordDictionary = dsu.loadEmbeddingsDataset(dataset_path)
print("Data successfully loaded.")
filename = "tuning_SVM_"+big5+"_"+dataset
if shuffle == 'True' or shuffle == 'yes' or shuffle == 'true':
s = np.arange(posts.shape[0])
np.random.shuffle(s)
posts = posts[s]
yO = yO[s]
yC = yC[s]
yE = yE[s]
yA = yA[s]
yN = yN[s]
filename = filename + "_shuffle"
print("Data shuffled.")
else:
filename = filename + "_noShuffle"
pcc_filename = filename + "_pcc.txt"
filename = filename + ".csv"
#only for test
#subsetSize = len(sumE)
subsetSize = 100
posts = posts[0:subsetSize]
yO = yO[0:subsetSize]
yC = yC[0:subsetSize]
yE = yE[0:subsetSize]
yA = yA[0:subsetSize]
yN = yN[0:subsetSize]
#save lists because transformTextForTraining() changes them
old_yO = yO
old_yC = yC
old_yE = yE
old_yA = yA
old_yN = yN
[sumE, yO, yC, yE, yA, yN] = embeddings.transformTextForTraining(wordDictionary, post_threshold, posts, old_yO, old_yC, old_yE, old_yA, old_yN, "sum", transform)
maxE = embeddings.transformTextForTraining(wordDictionary, post_threshold, posts, old_yO, old_yC, old_yE, old_yA, old_yN, "max", transform)[0]
minE = embeddings.transformTextForTraining(wordDictionary, post_threshold, posts, old_yO, old_yC, old_yE, old_yA, old_yN, "min", transform)[0]
avgE = embeddings.transformTextForTraining(wordDictionary, post_threshold, posts, old_yO, old_yC, old_yE, old_yA, old_yN, "avg", transform)[0]
conE = embeddings.transformTextForTraining(wordDictionary, post_threshold, posts, old_yO, old_yC, old_yE, old_yA, old_yN, "conc", transform)[0]
if big5 == 'O':
labels = yO
elif big5 == 'C':
labels = yC
elif big5 == 'E':
labels = yE
elif big5 == 'A':
labels = yA
elif big5 == 'N':
labels = yN
if not os.path.exists("Results"):
os.makedirs("Results")
try:
os.remove("Results/"+filename)
except FileNotFoundError:
pass
try:
os.remove("Results/"+pcc_filename)
except FileNotFoundError:
pass
j = 1
k_fold = KFold(n_splits=10)
for data in [sumE, maxE, minE, avgE, conE]:
if j==1:
method = "sum"
print("computing results for sum...")
elif j==2:
method = "max"
print("computing results for max...")
elif j==3:
method = "min"
print("computing results for min...")
elif j==4:
method = "avg"
print("computing results for avg...")
elif j==5:
method = "conc"
print("computing results for concat...")
j += 1
linear = np.zeros([3,10,2], dtype=np.float)
poly_c1_d2 = np.zeros([3,10,2], dtype=np.float)
poly_c10_d2 = np.zeros([3,10,2], dtype=np.float)
poly_c100_d2 = np.zeros([3,10,2], dtype=np.float)
poly_c1_d3 = np.zeros([3,10,2], dtype=np.float)
poly_c10_d3 = np.zeros([3,10,2], dtype=np.float)
poly_c100_d3 = np.zeros([3,10,2], dtype=np.float)
rbf_g001_c1 = np.zeros([3,10,2], dtype=np.float)
rbf_g001_c10 = np.zeros([3,10,2], dtype=np.float)
rbf_g001_c100 = np.zeros([3,10,2], dtype=np.float)
rbf_g01_c1 = np.zeros([3,10,2], dtype=np.float)
rbf_g01_c10 = np.zeros([3,10,2], dtype=np.float)
rbf_g01_c100 = np.zeros([3,10,2], dtype=np.float)
rbf_g1_c1 = np.zeros([3,10,2], dtype=np.float)
rbf_g1_c10 = np.zeros([3,10,2], dtype=np.float)
rbf_g1_c100 = np.zeros([3,10,2], dtype=np.float)
rbf_g10_c1 = np.zeros([3,10,2], dtype=np.float)
rbf_g10_c10 = np.zeros([3,10,2], dtype=np.float)
rbf_g10_c100 = np.zeros([3,10,2], dtype=np.float)
i=1
for train, test in k_fold.split(data):
print("[CV iteration %d]"%i)
model = SVR(kernel='linear', C=1).fit(data[train],labels[train])
res = model.predict(data[test])
linear[0][i-1] = (mean_squared_error(labels[test],res))
linear[1][i-1] = (model.score(data[test], labels[test]))
linear[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
#print(pearsonr(res, labels[test]))
model = SVR(kernel='poly', degree=2, C=1).fit(data[train],labels[train])
res = model.predict(data[test])
poly_c1_d2[0][i-1] = (mean_squared_error(labels[test],res))
poly_c1_d2[1][i-1] = (model.score(data[test], labels[test]))
poly_c1_d2[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='poly', degree=2, C=10).fit(data[train],labels[train])
res = model.predict(data[test])
poly_c10_d2[0][i-1] = (mean_squared_error(labels[test],res))
poly_c10_d2[1][i-1] = (model.score(data[test], labels[test]))
poly_c10_d2[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='poly', degree=2, C=100).fit(data[train],labels[train])
res = model.predict(data[test])
poly_c100_d2[0][i-1] = (mean_squared_error(labels[test],res))
poly_c100_d2[1][i-1] = (model.score(data[test], labels[test]))
poly_c100_d2[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='poly', degree=3, C=1).fit(data[train],labels[train])
res = model.predict(data[test])
poly_c1_d3[0][i-1] = (mean_squared_error(labels[test],res))
poly_c1_d3[1][i-1] = (model.score(data[test], labels[test]))
poly_c1_d3[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='poly', degree=3, C=10).fit(data[train],labels[train])
res = model.predict(data[test])
poly_c10_d3[0][i-1] = (mean_squared_error(labels[test],res))
poly_c10_d3[1][i-1] = (model.score(data[test], labels[test]))
poly_c10_d3[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='poly', degree=3, C=100).fit(data[train],labels[train])
res = model.predict(data[test])
poly_c100_d3[0][i-1] = (mean_squared_error(labels[test],res))
poly_c100_d3[1][i-1] = (model.score(data[test], labels[test]))
poly_c100_d3[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=0.01, C=1).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g001_c1[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g001_c1[1][i-1] = (model.score(data[test], labels[test]))
rbf_g001_c1[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=0.01, C=10).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g001_c10[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g001_c10[1][i-1] = (model.score(data[test], labels[test]))
rbf_g001_c10[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=0.01, C=100).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g001_c100[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g001_c100[1][i-1] = (model.score(data[test], labels[test]))
rbf_g001_c100[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=0.1, C=1).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g01_c1[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g01_c1[1][i-1] = (model.score(data[test], labels[test]))
rbf_g01_c1[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=0.1, C=10).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g01_c10[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g01_c10[1][i-1] = (model.score(data[test], labels[test]))
rbf_g01_c10[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=0.1, C=100).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g01_c100[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g01_c100[1][i-1] = (model.score(data[test], labels[test]))
rbf_g01_c100[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=1, C=1).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g1_c1[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g1_c1[1][i-1] = (model.score(data[test], labels[test]))
rbf_g1_c1[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=1, C=10).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g1_c10[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g1_c10[1][i-1] = (model.score(data[test], labels[test]))
rbf_g1_c10[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=1, C=100).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g1_c100[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g1_c100[1][i-1] = (model.score(data[test], labels[test]))
rbf_g1_c100[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=10, C=1).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g10_c1[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g10_c1[1][i-1] = (model.score(data[test], labels[test]))
rbf_g10_c1[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=10, C=10).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g10_c10[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g10_c10[1][i-1] = (model.score(data[test], labels[test]))
rbf_g10_c10[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
model = SVR(kernel='rbf', gamma=10, C=100).fit(data[train],labels[train])
res = model.predict(data[test])
rbf_g10_c100[0][i-1] = (mean_squared_error(labels[test],res))
rbf_g10_c100[1][i-1] = (model.score(data[test], labels[test]))
rbf_g10_c100[2][i-1] = (pearsonr(model.predict(data[test]), labels[test]))
i += 1
fp = open("Results/"+filename, "a+")
fp.write(method+",mse,linear,1,,,"+str(np.mean(linear[0]))+"\n")
fp.write(method+",r2,linear,1,,,"+str(np.mean(linear[1]))+"\n")
fp.write(method+",pcc,linear,1,,,"+str(pccMean(linear[2]))+"\n")
fp.write(method+",mse,poly,1,,2,"+str(np.mean(poly_c1_d2[0]))+"\n")
fp.write(method+",r2,poly,1,,2,"+str(np.mean(poly_c1_d2[1]))+"\n")
fp.write(method+",pcc,poly,1,,2,"+str(pccMean(poly_c1_d2[2]))+"\n")
fp.write(method+",mse,poly,10,,2,"+str(np.mean(poly_c10_d2[0]))+"\n")
fp.write(method+",r2,poly,10,,2,"+str(np.mean(poly_c10_d2[1]))+"\n")
fp.write(method+",pcc,poly,10,,2,"+str(pccMean(poly_c10_d2[2]))+"\n")
fp.write(method+",mse,poly,100,,2,"+str(np.mean(poly_c100_d2[0]))+"\n")
fp.write(method+",r2,poly,100,,2,"+str(np.mean(poly_c100_d2[1]))+"\n")
fp.write(method+",pcc,poly,100,,2,"+str(pccMean(poly_c100_d2[2]))+"\n")
fp.write(method+",mse,poly,1,,3,"+str(np.mean(poly_c1_d3[0]))+"\n")
fp.write(method+",r2,poly,1,,3,"+str(np.mean(poly_c1_d3[1]))+"\n")
fp.write(method+",pcc,poly,1,,3,"+str(pccMean(poly_c1_d3[2]))+"\n")
fp.write(method+",mse,poly,10,,3,"+str(np.mean(poly_c10_d3[0]))+"\n")
fp.write(method+",r2,poly,10,,3,"+str(np.mean(poly_c10_d3[1]))+"\n")
fp.write(method+",pcc,poly,10,,3,"+str(pccMean(poly_c10_d3[2]))+"\n")
fp.write(method+",mse,poly,100,,3,"+str(np.mean(poly_c100_d3[0]))+"\n")
fp.write(method+",r2,poly,100,,3,"+str(np.mean(poly_c100_d3[1]))+"\n")
fp.write(method+",pcc,poly,100,,3,"+str(pccMean(poly_c100_d3[2]))+"\n")
fp.write(method+",mse,rbf,1,0.01,,"+str(np.mean(rbf_g001_c1[0]))+"\n")
fp.write(method+",r2,rbf,1,0.01,,"+str(np.mean(rbf_g001_c1[1]))+"\n")
fp.write(method+",pcc,rbf,1,0.01,,"+str(pccMean(rbf_g001_c1[2]))+"\n")
fp.write(method+",mse,rbf,10,0.01,,"+str(np.mean(rbf_g001_c10[0]))+"\n")
fp.write(method+",r2,rbf,10,0.01,,"+str(np.mean(rbf_g001_c10[1]))+"\n")
fp.write(method+",pcc,rbf,10,0.01,,"+str(pccMean(rbf_g001_c10[2]))+"\n")
fp.write(method+",mse,rbf,100,0.01,,"+str(np.mean(rbf_g001_c100[0]))+"\n")
fp.write(method+",r2,rbf,100,0.01,,"+str(np.mean(rbf_g001_c100[1]))+"\n")
fp.write(method+",pcc,rbf,100,0.01,,"+str(pccMean(rbf_g001_c100[2]))+"\n")
fp.write(method+",mse,rbf,1,0.1,,"+str(np.mean(rbf_g01_c1[0]))+"\n")
fp.write(method+",r2,rbf,1,0.1,,"+str(np.mean(rbf_g01_c1[1]))+"\n")
fp.write(method+",pcc,rbf,1,0.1,,"+str(pccMean(rbf_g01_c1[2]))+"\n")
fp.write(method+",mse,rbf,10,0.1,,"+str(np.mean(rbf_g01_c10[0]))+"\n")
fp.write(method+",r2,rbf,10,0.1,,"+str(np.mean(rbf_g01_c10[1]))+"\n")
fp.write(method+",pcc,rbf,10,0.1,,"+str(pccMean(rbf_g01_c10[2]))+"\n")
fp.write(method+",mse,rbf,100,0.1,,"+str(np.mean(rbf_g01_c100[0]))+"\n")
fp.write(method+",r2,rbf,100,0.1,,"+str(np.mean(rbf_g01_c100[1]))+"\n")
fp.write(method+",pcc,rbf,100,0.1,,"+str(pccMean(rbf_g01_c100[2]))+"\n")
fp.write(method+",mse,rbf,1,1,,"+str(np.mean(rbf_g1_c1[0]))+"\n")
fp.write(method+",r2,rbf,1,1,,"+str(np.mean(rbf_g1_c1[1]))+"\n")
fp.write(method+",pcc,rbf,1,1,,"+str(pccMean(rbf_g1_c1[2]))+"\n")
fp.write(method+",mse,rbf,10,1,,"+str(np.mean(rbf_g1_c10[0]))+"\n")
fp.write(method+",r2,rbf,10,1,,"+str(np.mean(rbf_g1_c10[1]))+"\n")
fp.write(method+",pcc,rbf,10,1,,"+str(pccMean(rbf_g1_c10[2]))+"\n")
fp.write(method+",mse,rbf,100,1,,"+str(np.mean(rbf_g1_c100[0]))+"\n")
fp.write(method+",r2,rbf,100,1,,"+str(np.mean(rbf_g1_c100[1]))+"\n")
fp.write(method+",pcc,rbf,100,1,,"+str(pccMean(rbf_g1_c100[2]))+"\n")
fp.write(method+",mse,rbf,1,10,,"+str(np.mean(rbf_g10_c1[0]))+"\n")
fp.write(method+",r2,rbf,1,10,,"+str(np.mean(rbf_g10_c1[1]))+"\n")
fp.write(method+",pcc,rbf,1,10,,"+str(pccMean(rbf_g10_c1[2]))+"\n")
fp.write(method+",mse,rbf,10,10,,"+str(np.mean(rbf_g10_c10[0]))+"\n")
fp.write(method+",r2,rbf,10,10,,"+str(np.mean(rbf_g10_c10[1]))+"\n")
fp.write(method+",pcc,rbf,10,10,,"+str(pccMean(rbf_g10_c10[2]))+"\n")
fp.write(method+",mse,rbf,100,10,,"+str(np.mean(rbf_g10_c100[0]))+"\n")
fp.write(method+",r2,rbf,100,10,,"+str(np.mean(rbf_g10_c100[1]))+"\n")
fp.write(method+",pcc,rbf,100,10,,"+str(pccMean(rbf_g10_c100[2]))+"\n")
fp.close()
#print (linear[2])
#input()
fp = open("Results/"+pcc_filename, "a+")
fp.write(method+",pcc,linear,1,,\n")
for elem in linear[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,poly,1,,2\n")
for elem in poly_c1_d2[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,poly,10,,2\n")
for elem in poly_c10_d2[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,poly,100,,2\n")
for elem in poly_c100_d2[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,poly,1,,3\n")
for elem in poly_c1_d3[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,poly,10,,3\n")
for elem in poly_c10_d3[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,poly,100,,3\n")
for elem in poly_c100_d3[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,1,0.01,\n")
for elem in rbf_g001_c1[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,10,0.01,\n")
for elem in rbf_g001_c10[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,100,0.01,\n")
for elem in rbf_g001_c100[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,1,0.1,\n")
for elem in rbf_g01_c1[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,10,0.1,\n")
for elem in rbf_g01_c10[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,100,0.1,\n")
for elem in rbf_g01_c100[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,1,1,\n")
for elem in rbf_g1_c1[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,10,1,\n")
for elem in rbf_g1_c10[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,100,1,\n")
for elem in rbf_g1_c100[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,1,10,\n")
for elem in rbf_g10_c1[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,10,10,\n")
for elem in rbf_g10_c10[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.write(method+",pcc,rbf,100,10,\n")
for elem in rbf_g10_c100[2]:
fp.write(str(elem[0])+"\t"+str(elem[1])+"\n")
fp.write("\n")
fp.close()
| 44.241784 | 221 | 0.61076 | 3,258 | 18,847 | 3.410681 | 0.058318 | 0.071814 | 0.066955 | 0.093233 | 0.785097 | 0.772138 | 0.741541 | 0.732991 | 0.688625 | 0.586123 | 0 | 0.077799 | 0.156364 | 18,847 | 425 | 222 | 44.345882 | 0.621069 | 0.010453 | 0 | 0.184987 | 0 | 0.002681 | 0.118341 | 0.001127 | 0 | 0 | 0 | 0 | 0 | 1 | 0.002681 | false | 0.005362 | 0.024129 | 0 | 0.029491 | 0.040214 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 | 3 |
5b3a07e7c03bc79816ee75698b38741b046bc206 | 1,249 | py | Python | atrope/opts.py | enolfc/atrope | 0a7f46e221efd98762221a649a4c723fa1f311bf | [
"Apache-2.0"
] | 1 | 2016-05-18T11:46:14.000Z | 2016-05-18T11:46:14.000Z | atrope/opts.py | enolfc/atrope | 0a7f46e221efd98762221a649a4c723fa1f311bf | [
"Apache-2.0"
] | 7 | 2015-01-28T10:07:55.000Z | 2018-06-11T15:37:00.000Z | atrope/opts.py | enolfc/atrope | 0a7f46e221efd98762221a649a4c723fa1f311bf | [
"Apache-2.0"
] | 3 | 2016-12-01T13:57:38.000Z | 2021-07-13T08:10:12.000Z | # -*- coding: utf-8 -*-
# Copyright 2015 Spanish National Research Council (CSIC)
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import itertools
import atrope.cache
import atrope.dispatcher.glance
import atrope.dispatcher.manager
import atrope.image_list.hepix
import atrope.image_list.manager
import atrope.paths
import atrope.smime
def list_opts():
return [
('DEFAULT', itertools.chain(atrope.image.opts,
atrope.paths.opts,
atrope.smime.opts)
),
('cache', atrope.cache.opts),
('sources', atrope.image_list.hepix.opts),
('dispatcher', atrope.dispatcher.manager.opts),
('glance', atrope.dispatcher.glance.opts),
]
| 32.025641 | 75 | 0.686149 | 161 | 1,249 | 5.298137 | 0.540373 | 0.098476 | 0.052755 | 0.037515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00925 | 0.220977 | 1,249 | 38 | 76 | 32.868421 | 0.86742 | 0.480384 | 0 | 0 | 0 | 0 | 0.055205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | true | 0 | 0.421053 | 0.052632 | 0.526316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
5b4cdb0931ffe3ccbe3b17c3b3ce8cd32047e859 | 2,337 | py | Python | app/models/user.py | esirK/ShoppingListAPI | a3b3147360f75ade3782ea248b5c9e0b76675f78 | [
"Apache-2.0"
] | null | null | null | app/models/user.py | esirK/ShoppingListAPI | a3b3147360f75ade3782ea248b5c9e0b76675f78 | [
"Apache-2.0"
] | 2 | 2017-10-03T14:26:51.000Z | 2018-01-07T03:30:11.000Z | app/models/user.py | esirK/ShoppingListAPI | a3b3147360f75ade3782ea248b5c9e0b76675f78 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from time import time
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer, SignatureExpired, BadSignature
from werkzeug.security import generate_password_hash, check_password_hash
from app import config
from app.init_db import db
from app.models.item import Item
from app.models.shoppinglist import ShoppingList
class User(db.Model):
__tablename__ = 'users'
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(64))
email = db.Column(db.String(64), unique=True, index=True)
password = db.Column(db.String(104))
shopping_lists = db.relationship(ShoppingList, backref='owner', lazy='dynamic')
items = db.relationship(Item, backref='items_owner', lazy='dynamic')
joined_on = db.Column(db.DateTime, default=datetime.utcnow)
date_modified = db.Column(db.DateTime, default=datetime.utcnow,
onupdate=datetime.utcnow)
def __init__(self, username, email, password):
self.username = username
self.email = email
self.set_password(password)
def __repr__(self):
"""
string representation that can be used for debugging
and testing purposes.
"""
return '<User %r>' % self.email
def set_password(self, password):
"""
Sets current users password as a password hash
"""
self.password = generate_password_hash(password)
def check_password(self, password):
return check_password_hash(self.password, password)
def generate_auth_token(self, expiration=600, configurations=""):
s = Serializer(config[configurations].SECRET_KEY, expires_in=expiration)
return s.dumps({'id': self.id, 'username': self.username, 'expires_at': int((time())*1000) + expiration*1000})
@staticmethod
def verify_auth_token(token, configuration):
s = Serializer(config[configuration].SECRET_KEY)
try:
data = s.loads(token)
except SignatureExpired:
from app.exceptions import TokenExpired
raise TokenExpired # valid token, but expired
except BadSignature:
from app.exceptions import InvalidToken
raise InvalidToken # invalid token
user = User.query.get(data['id'])
return user
| 37.095238 | 118 | 0.682071 | 272 | 2,337 | 5.724265 | 0.386029 | 0.026975 | 0.038536 | 0.030829 | 0.073218 | 0.050096 | 0.050096 | 0 | 0 | 0 | 0 | 0.009928 | 0.224219 | 2,337 | 62 | 119 | 37.693548 | 0.848869 | 0.06932 | 0 | 0 | 1 | 0 | 0.031176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0.177778 | 0.222222 | 0.022222 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
5ba6b428a904314035a8d3534008128175cad5cc | 3,567 | py | Python | pythonScripts/synthesize_file.py | FuckBrains/videoAutoProduction | e6988c1d2debd511b63968a55e29c4d2373c5ab6 | [
"MIT"
] | 18 | 2019-10-02T13:04:25.000Z | 2022-03-01T03:24:10.000Z | pythonScripts/synthesize_file.py | JDuggal760/videoAutoProduction | e6988c1d2debd511b63968a55e29c4d2373c5ab6 | [
"MIT"
] | 1 | 2021-04-28T14:33:36.000Z | 2022-01-28T09:43:21.000Z | pythonScripts/synthesize_file.py | JDuggal760/videoAutoProduction | e6988c1d2debd511b63968a55e29c4d2373c5ab6 | [
"MIT"
] | 7 | 2020-01-02T14:48:51.000Z | 2021-11-15T17:05:50.000Z | import argparse
# [START tts_synthesize_text_file]
def synthesize_text_file(text_file):
"""Synthesizes speech from the input file of text."""
from google.cloud import texttospeech
client = texttospeech.TextToSpeechClient()
with open(text_file, 'r') as f:
text = f.read()
input_text = texttospeech.types.SynthesisInput(text=text)
# Note: the voice can also be specified by name.
# Names of voices can be retrieved with client.list_voices().
voice = texttospeech.types.VoiceSelectionParams(
language_code='en-AU',
name='en-AU-Wavenet-C',
ssml_gender=texttospeech.enums.SsmlVoiceGender.NEUTRAL)
audio_config = texttospeech.types.AudioConfig(
audio_encoding=texttospeech.enums.AudioEncoding.MP3,
speaking_rate=0.80)
response = client.synthesize_speech(input_text, voice, audio_config)
# The response's audio_content is binary.
filename = text_file
try:
filename = filename.replace('.txt', '.mp3')
filename = filename.replace('../Articles/', '')
filename = filename.replace(';', ' ')
filename = filename.replace("'", " ")
except Exception as e:
print(e)
print('Check replace command in synthesize_file.py file')
with open(filename, 'wb') as out:
out.write(response.audio_content)
print(f'Audio content written to file: \n{filename}\n')
# [END tts_synthesize_text_file]
# [START tts_synthesize_ssml_file]
def synthesize_ssml_file(ssml_file):
"""Synthesizes speech from the input file of ssml.
Note: ssml must be well-formed according to:
https://www.w3.org/TR/speech-synthesis/
"""
from google.cloud import texttospeech
client = texttospeech.TextToSpeechClient()
with open(ssml_file, 'r') as f:
ssml = f.read()
input_text = texttospeech.types.SynthesisInput(ssml=ssml)
# Note: the voice can also be specified by name.
# Names of voices can be retrieved with client.list_voices().
voice = texttospeech.types.VoiceSelectionParams(
language_code='en-AU',
name='en-AU-Wavenet-D',
ssml_gender=texttospeech.enums.SsmlVoiceGender.NEUTRAL)
audio_config = texttospeech.types.AudioConfig(
audio_encoding=texttospeech.enums.AudioEncoding.MP3,
speaking_rate=0.80)
response = client.synthesize_speech(input_text, voice, audio_config)
# The response's audio_content is binary.
filename = ssml_file
try:
filename = filename.replace('.txt', '.mp3')
filename = filename.replace('../Articles/', '')
filename = filename.replace(';', ' ')
filename = filename.replace("'", " ")
except Exception as e:
print(e)
print('Check replace command in synthesize_file.py file')
with open(filename, 'wb') as out:
out.write(response.audio_content)
print(f'Audio content written to file: \n{filename}\n')
# [END tts_synthesize_ssml_file]
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument('--text',
help='The text file from which to synthesize speech.')
group.add_argument('--ssml',
help='The ssml file from which to synthesize speech.')
args = parser.parse_args()
if args.text:
synthesize_text_file(args.text)
else:
synthesize_ssml_file(args.ssml)
| 34.298077 | 77 | 0.671713 | 427 | 3,567 | 5.444965 | 0.276347 | 0.027527 | 0.07914 | 0.018065 | 0.75957 | 0.75957 | 0.732903 | 0.694194 | 0.660645 | 0.660645 | 0 | 0.003953 | 0.219793 | 3,567 | 103 | 78 | 34.631068 | 0.831477 | 0.170451 | 0 | 0.597015 | 0 | 0 | 0.133971 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.044776 | 0 | 0.074627 | 0.089552 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
5baea419ef710018686ca69fb18a6299df97c06b | 67 | py | Python | coda/coda_mdstore/tests/__init__.py | unt-libraries/coda | 959abc220f49bb9f5b19e13b61714b8be0615412 | [
"BSD-3-Clause"
] | 2 | 2015-06-30T04:20:47.000Z | 2021-03-31T16:35:35.000Z | coda/coda_mdstore/tests/__init__.py | unt-libraries/coda | 959abc220f49bb9f5b19e13b61714b8be0615412 | [
"BSD-3-Clause"
] | 141 | 2015-06-16T20:33:49.000Z | 2021-07-12T16:35:06.000Z | coda/coda_mdstore/tests/__init__.py | unt-libraries/coda | 959abc220f49bb9f5b19e13b61714b8be0615412 | [
"BSD-3-Clause"
] | 1 | 2017-01-23T19:17:29.000Z | 2017-01-23T19:17:29.000Z | CODA_XML = '{http://digital2.library.unt.edu/coda/bagxml/}codaXML'
| 33.5 | 66 | 0.746269 | 10 | 67 | 4.9 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 0.044776 | 67 | 1 | 67 | 67 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.791045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
5bbc0f70dd0c9c74433d6406d8f5b59763ab6610 | 685 | py | Python | Support/Fuego/Pythia/pythia-0.4/packages/fuego/fuego/serialization/chemkin/unpickle/tokens/ReactionSection.py | marient/PelePhysics | e6ad1839d77b194e09ab44ff850c9489652e5d81 | [
"BSD-3-Clause-LBNL"
] | 1 | 2019-04-24T13:32:23.000Z | 2019-04-24T13:32:23.000Z | Support/Fuego/Pythia/pythia-0.4/packages/fuego/fuego/serialization/chemkin/unpickle/tokens/ReactionSection.py | marient/PelePhysics | e6ad1839d77b194e09ab44ff850c9489652e5d81 | [
"BSD-3-Clause-LBNL"
] | null | null | null | Support/Fuego/Pythia/pythia-0.4/packages/fuego/fuego/serialization/chemkin/unpickle/tokens/ReactionSection.py | marient/PelePhysics | e6ad1839d77b194e09ab44ff850c9489652e5d81 | [
"BSD-3-Clause-LBNL"
] | null | null | null | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Michael A.G. Aivazis
# California Institute of Technology
# (C) 1998-2003 All Rights Reserved
#
# <LicenseText>
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
from Token import Token
class ReactionSection(Token):
pattern = r"[Rr][Ee][Aa][Cc]([Tt][Ii][Oo][Nn][Ss])?"
def identify(self, auth):
return auth.aReactionSection(self)
def __str__(self):
return "{Reaction section}"
# version
__id__ = "$Id$"
#
# End of file
| 19.027778 | 82 | 0.405839 | 57 | 685 | 4.736842 | 0.842105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015686 | 0.255474 | 685 | 35 | 83 | 19.571429 | 0.513725 | 0.559124 | 0 | 0 | 0 | 0 | 0.212544 | 0.135889 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.25 | 0.875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
5bd534155868c02c2ec0d3e45d9dbd0f9718f577 | 104 | py | Python | 02_If/Step03/gamjapark.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | 02_If/Step03/gamjapark.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | 3 | 2020-11-04T05:38:53.000Z | 2021-03-02T02:15:19.000Z | 02_If/Step03/gamjapark.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | year = int(input())
print("1") if year % 4 == 0 and (year % 100 != 0 or year % 400 == 0) else print("0") | 52 | 84 | 0.548077 | 20 | 104 | 2.85 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 0.221154 | 104 | 2 | 84 | 52 | 0.555556 | 0 | 0 | 0 | 0 | 0 | 0.019048 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
751b1f98669a8f53f90553d3b38d44ac1b2489f7 | 1,597 | py | Python | Lab2_test/tests/test_func_1.py | WinterInside1/ISP | 75e9a622d720c5e3e09f34c623ec99346273c842 | [
"MIT"
] | null | null | null | Lab2_test/tests/test_func_1.py | WinterInside1/ISP | 75e9a622d720c5e3e09f34c623ec99346273c842 | [
"MIT"
] | null | null | null | Lab2_test/tests/test_func_1.py | WinterInside1/ISP | 75e9a622d720c5e3e09f34c623ec99346273c842 | [
"MIT"
] | null | null | null | from CustomSerializer.task import func_serializer
CUR_PATH = ""
CODE_NAME = "Serialized_function.txt"
lol = 42
def SaveFunction(f):
func_serializer.function_dump(f, CUR_PATH + CODE_NAME)
def LoadFunction():
fc = func_serializer.function_load(CUR_PATH + CODE_NAME)
return {fc}
def f_consts_answer(x: int) -> int:
return 5542 + x
def f_consts(x: int) -> int:
return x + lol + 5500
def f_recursion_answer(x: int) -> int:
if x < 0: x = 0
return (x * (x + 1)) // 2
def f_recursion(x: int) -> int:
if x < 1: return 0
return x + f_recursion(x - 1)
def f_connections_answer(s: str) -> str:
return "Hello, Test! " + s
def f_connections_also(s: str) -> str:
def f_connections_sub(): return "Test! "
return f_connections_sub() + str(s)
def f_connections(s: str) -> str:
return "Hello, " + f_connections_also(s)
def f_closures_answer(a, x):
return a + x
def f_closures(a):
def f_closures_sub(x):
return a + x
return f_closures_sub
def test_f_consts():
SaveFunction(f_consts)
x = 13
for f in LoadFunction():
assert f(x) == f_consts_answer(x)
def test_f_recursion():
SaveFunction(f_recursion)
x = 42
for f in LoadFunction():
assert f(x) == f_recursion_answer(x)
def test_f_connections():
SaveFunction(f_connections)
x = "Success!"
for f in LoadFunction():
assert f(x) == f_connections_answer(x)
def test_f_closures():
SaveFunction(f_closures)
a, b = 13, 42
for f in LoadFunction():
assert f(a)(b) == f_closures_answer(a, b)
| 18.147727 | 60 | 0.640576 | 245 | 1,597 | 3.942857 | 0.2 | 0.045549 | 0.028986 | 0.074534 | 0.218427 | 0.113872 | 0.113872 | 0.083851 | 0 | 0 | 0 | 0.020593 | 0.239825 | 1,597 | 87 | 61 | 18.356322 | 0.775124 | 0 | 0 | 0.115385 | 0 | 0 | 0.035692 | 0.014402 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.326923 | false | 0 | 0.019231 | 0.134615 | 0.557692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
f342f7ce505e7928c7492cb9f499236c0bfc61bc | 1,808 | py | Python | tests/test_email.py | chandrakantap/kanpai | 7ebd49c23c6bb96dbba94421ad9f4999ba21e841 | [
"MIT"
] | 3 | 2020-04-03T03:19:01.000Z | 2021-03-13T11:56:16.000Z | tests/test_email.py | chandrakantap/kanpai | 7ebd49c23c6bb96dbba94421ad9f4999ba21e841 | [
"MIT"
] | 4 | 2020-02-13T22:50:35.000Z | 2021-06-18T06:54:34.000Z | tests/test_email.py | chandrakantap/kanpai | 7ebd49c23c6bb96dbba94421ad9f4999ba21e841 | [
"MIT"
] | 5 | 2020-06-07T01:16:42.000Z | 2021-03-15T20:51:39.000Z | import kanpai.email as email
# test non string data
def test_validate_string():
schema = email.Email()
result = schema.validate({'name': 'kanpai'})
assert result['success'] is False
assert result['error'] is not None
# test 'None' string data
def test_validate_string_on_None_data():
schema = email.Email()
result = schema.validate(None)
assert result['success'] is True
assert result['error'] is None
# test string data and valid email pattern
def test_validate_stringandpattern_success():
schema = email.Email()
result = schema.validate('a@b.com')
assert result['success'] is True
assert result['error'] is None
# test string data and invalid email pattern
def test_validate_stringandpattern_failure():
schema = email.Email(error="Please provide a valid email")
result = schema.validate('a@bcom')
assert result['success'] is False
assert result['error'] is not None
assert result['error'] == "Please provide a valid email"
# test email as required with data provided
def test_validate_email_required_success():
schema = (email.Email().trim().required('Email is required'))
result = schema.validate(' a@b.com')
assert result['success'] is True
assert result['error'] is None
# test email as required with blank data provided
def test_error_email_required_blank():
schema = (email.Email().trim().required('Email is required'))
result = schema.validate(' ')
assert result['success'] is False
assert result['error'] is not None
# test email as required with 'None' data provided
def test_error_email_required_None():
schema = (email.Email().trim().required('Email is required'))
result = schema.validate(None)
assert result['success'] is False
assert result['error'] is not None
| 30.133333 | 65 | 0.706858 | 246 | 1,808 | 5.093496 | 0.158537 | 0.143655 | 0.10854 | 0.117318 | 0.857941 | 0.822825 | 0.573823 | 0.514765 | 0.492418 | 0.492418 | 0 | 0 | 0.179204 | 1,808 | 59 | 66 | 30.644068 | 0.84434 | 0.147677 | 0 | 0.648649 | 0 | 0 | 0.148728 | 0 | 0 | 0 | 0 | 0 | 0.405405 | 1 | 0.189189 | false | 0 | 0.027027 | 0 | 0.216216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f348ad3317b30652d8a41390d9aecad010dceaab | 412 | py | Python | app/grandchallenge/notifications/serializers.py | kaczmarj/grand-challenge.org | 8dc8a2170e51072354f7e94f2a22578805a67b94 | [
"Apache-2.0"
] | 101 | 2018-04-11T14:48:04.000Z | 2022-03-28T00:29:48.000Z | app/grandchallenge/notifications/serializers.py | kaczmarj/grand-challenge.org | 8dc8a2170e51072354f7e94f2a22578805a67b94 | [
"Apache-2.0"
] | 1,733 | 2018-03-21T11:56:16.000Z | 2022-03-31T14:58:30.000Z | app/grandchallenge/notifications/serializers.py | kaczmarj/grand-challenge.org | 8dc8a2170e51072354f7e94f2a22578805a67b94 | [
"Apache-2.0"
] | 42 | 2018-06-08T05:49:07.000Z | 2022-03-29T08:43:01.000Z | from actstream.models import Follow
from rest_framework import serializers
from grandchallenge.notifications.models import Notification
class NotificationSerializer(serializers.ModelSerializer):
class Meta:
model = Notification
fields = ("read",)
class FollowSerializer(serializers.ModelSerializer):
class Meta:
model = Follow
fields = ("pk", "flag")
| 24.235294 | 61 | 0.701456 | 37 | 412 | 7.783784 | 0.567568 | 0.083333 | 0.215278 | 0.243056 | 0.277778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.228155 | 412 | 16 | 62 | 25.75 | 0.90566 | 0 | 0 | 0.181818 | 0 | 0 | 0.025253 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
f34fb3d2f62f5bcb218b1a5dada34f2181d283e9 | 5,247 | py | Python | pysal/contrib/gwr/tests/test_sel_bw.py | cubensys/pysal | 8d50990f6e6603ba79ae1a887a20a1e3a0734e51 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | pysal/contrib/gwr/tests/test_sel_bw.py | cubensys/pysal | 8d50990f6e6603ba79ae1a887a20a1e3a0734e51 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | pysal/contrib/gwr/tests/test_sel_bw.py | cubensys/pysal | 8d50990f6e6603ba79ae1a887a20a1e3a0734e51 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-07-19T01:46:17.000Z | 2021-07-19T01:46:17.000Z |
"""
GWR is tested against results from GWR4
"""
import unittest
import pickle as pk
from pysal.contrib.glm.family import Gaussian, Poisson, Binomial
from pysal.contrib.gwr.sel_bw import Sel_BW
import numpy as np
import pysal
class TestSelBW(unittest.TestCase):
def setUp(self):
data = pysal.open(pysal.examples.get_path('GData_utm.csv'))
self.coords = zip(data.by_col('X'), data.by_col('Y'))
self.y = np.array(data.by_col('PctBach')).reshape((-1,1))
rural = np.array(data.by_col('PctRural')).reshape((-1,1))
pov = np.array(data.by_col('PctPov')).reshape((-1,1))
black = np.array(data.by_col('PctBlack')).reshape((-1,1))
self.X = np.hstack([rural, pov, black])
self.XB = pk.load(open(pysal.examples.get_path('XB.p'), 'r'))
self.err = pk.load(open(pysal.examples.get_path('err.p'), 'r'))
def test_golden_fixed_AICc(self):
bw1 = 211027.34
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='bisquare',
fixed=True).search(criterion='AICc')
self.assertAlmostEqual(bw1, bw2)
def test_golden_adapt_AICc(self):
bw1 = 93.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='bisquare',
fixed=False).search(criterion='AICc')
self.assertAlmostEqual(bw1, bw2)
def test_golden_fixed_AIC(self):
bw1 = 76169.15
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=True).search(criterion='AIC')
self.assertAlmostEqual(bw1, bw2)
def test_golden_adapt_AIC(self):
bw1 = 50.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=False).search(criterion='AIC')
self.assertAlmostEqual(bw1, bw2)
def test_golden_fixed_BIC(self):
bw1 = 279451.43
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=True).search(criterion='BIC')
self.assertAlmostEqual(bw1, bw2)
def test_golden_adapt_BIC(self):
bw1 = 62.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=False).search(criterion='BIC')
self.assertAlmostEqual(bw1, bw2)
def test_golden_fixed_CV(self):
bw1 = 130406.67
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=True).search(criterion='CV')
self.assertAlmostEqual(bw1, bw2)
def test_golden_adapt_CV(self):
bw1 = 68.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=False).search(criterion='CV')
self.assertAlmostEqual(bw1, bw2)
def test_interval_fixed_AICc(self):
bw1 = 211025.0#211027.00
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='bisquare',
fixed=True).search(criterion='AICc', search='interval',
bw_min=211001.0, bw_max=211035.0, interval=2)
self.assertAlmostEqual(bw1, bw2)
def test_interval_adapt_AICc(self):
bw1 = 93.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='bisquare',
fixed=False).search(criterion='AICc', search='interval',
bw_min=90.0, bw_max=95.0, interval=1)
self.assertAlmostEqual(bw1, bw2)
def test_interval_fixed_AIC(self):
bw1 = 76175.0#76169.00
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=True).search(criterion='AIC', search='interval',
bw_min=76161.0, bw_max=76175.0, interval=1)
self.assertAlmostEqual(bw1, bw2)
def test_interval_adapt_AIC(self):
bw1 = 40.0#50.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=False).search(criterion='AIC', search='interval', bw_min=40.0,
bw_max=60.0, interval=2)
self.assertAlmostEqual(bw1, bw2)
def test_interval_fixed_BIC(self):
bw1 = 279461.0#279451.00
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=True).search(criterion='BIC', search='interval', bw_min=279441.0,
bw_max=279461.0, interval=2)
self.assertAlmostEqual(bw1, bw2)
def test_interval_adapt_BIC(self):
bw1 = 62.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=False).search(criterion='BIC', search='interval',
bw_min=52.0, bw_max=72.0, interval=2)
self.assertAlmostEqual(bw1, bw2)
def test_interval_fixed_CV(self):
bw1 = 130400.0#130406.00
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=True).search(criterion='CV', search='interval', bw_min=130400.0,
bw_max=130410.0, interval=1)
self.assertAlmostEqual(bw1, bw2)
def test_interval_adapt_CV(self):
bw1 = 62.0#68.0
bw2 = Sel_BW(self.coords, self.y, self.X, kernel='gaussian',
fixed=False).search(criterion='CV', search='interval', bw_min=60.0,
bw_max=76.0 , interval=2)
self.assertAlmostEqual(bw1, bw2)
if __name__ == '__main__':
unittest.main()
| 40.053435 | 87 | 0.599009 | 714 | 5,247 | 4.261905 | 0.158263 | 0.029576 | 0.042064 | 0.063096 | 0.750575 | 0.721656 | 0.721656 | 0.639829 | 0.623727 | 0.60138 | 0 | 0.071686 | 0.260911 | 5,247 | 130 | 88 | 40.361538 | 0.712996 | 0.015819 | 0 | 0.345794 | 0 | 0 | 0.058835 | 0 | 0 | 0 | 0 | 0 | 0.149533 | 1 | 0.158879 | false | 0 | 0.056075 | 0 | 0.224299 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f35733e7cc32f730fdaaa7a4b5d07404a23b96a7 | 41 | py | Python | txsched/__init__.py | mutalisk999/txsched | 657f00388b054d34ce7502a209416dba1701e3c3 | [
"MIT"
] | null | null | null | txsched/__init__.py | mutalisk999/txsched | 657f00388b054d34ce7502a209416dba1701e3c3 | [
"MIT"
] | null | null | null | txsched/__init__.py | mutalisk999/txsched | 657f00388b054d34ce7502a209416dba1701e3c3 | [
"MIT"
] | null | null | null | #!encoding=utf8
__author__ = 'mutalisk'
| 10.25 | 23 | 0.731707 | 4 | 41 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.121951 | 41 | 3 | 24 | 13.666667 | 0.694444 | 0.341463 | 0 | 0 | 0 | 0 | 0.307692 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f3910ed9bd79f4ecfd34cb77c4ceef6c3e86e0b9 | 325 | py | Python | classifier_CoAtNet.py | Eren-Corn0712/CV_DL-Contrastive-Learning | c59ba5e2ae31c14ef4e175c79e3575e2cc7c439c | [
"MIT"
] | null | null | null | classifier_CoAtNet.py | Eren-Corn0712/CV_DL-Contrastive-Learning | c59ba5e2ae31c14ef4e175c79e3575e2cc7c439c | [
"MIT"
] | null | null | null | classifier_CoAtNet.py | Eren-Corn0712/CV_DL-Contrastive-Learning | c59ba5e2ae31c14ef4e175c79e3575e2cc7c439c | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn #n
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets, transforms
from tqdm.autonotebook import tqdm
import time
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
| 19.117647 | 49 | 0.772308 | 50 | 325 | 5.02 | 0.54 | 0.131474 | 0.103586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196923 | 325 | 16 | 50 | 20.3125 | 0.961686 | 0.003077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
45eaecf1e7de3ab87aca696da569241f5296d849 | 219 | py | Python | webproxy.py | TheJema/webproxy | 8944d258b0995a3d524bea995e36bfbf9e104646 | [
"CC0-1.0"
] | null | null | null | webproxy.py | TheJema/webproxy | 8944d258b0995a3d524bea995e36bfbf9e104646 | [
"CC0-1.0"
] | null | null | null | webproxy.py | TheJema/webproxy | 8944d258b0995a3d524bea995e36bfbf9e104646 | [
"CC0-1.0"
] | null | null | null | import requests
import os
proxies = {
"http": os.environ['QUOTAGUARDSHIELD_URL'],
"https": os.environ['QUOTAGUARDSHIELD_URL']
}
res = requests.get("https://www.google.com/", proxies=proxies)
print(res.text)
| 19.909091 | 63 | 0.69863 | 27 | 219 | 5.592593 | 0.592593 | 0.119205 | 0.331126 | 0.370861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13242 | 219 | 10 | 64 | 21.9 | 0.794737 | 0 | 0 | 0 | 0 | 0 | 0.344498 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.125 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
45eb3b0eb5e5a207959d159a8f96356c3aee0fc1 | 188 | py | Python | tilematrix/_types.py | StefanBrand/tilematrix | 6f8cd3b85f61434a7ce5d7b635c3ad8f18ccb268 | [
"MIT"
] | 16 | 2016-07-27T22:21:12.000Z | 2022-01-15T18:13:43.000Z | tilematrix/_types.py | StefanBrand/tilematrix | 6f8cd3b85f61434a7ce5d7b635c3ad8f18ccb268 | [
"MIT"
] | 30 | 2015-10-09T18:10:13.000Z | 2022-03-15T16:56:54.000Z | tilematrix/_types.py | StefanBrand/tilematrix | 6f8cd3b85f61434a7ce5d7b635c3ad8f18ccb268 | [
"MIT"
] | 2 | 2021-07-30T07:23:13.000Z | 2021-09-13T12:24:11.000Z | from collections import namedtuple
Bounds = namedtuple("Bounds", "left bottom right top")
Shape = namedtuple("Shape", "height width")
TileIndex = namedtuple("TileIndex", "zoom row col")
| 26.857143 | 54 | 0.744681 | 22 | 188 | 6.363636 | 0.727273 | 0.228571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12766 | 188 | 6 | 55 | 31.333333 | 0.853659 | 0 | 0 | 0 | 0 | 0 | 0.345745 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
45eebd4479eeee6118e2391061c5b36f1b13620a | 1,318 | py | Python | components/Tile.py | jawaff/oecs | 1ebc4ed59ba91866c2abcad3a8b286555fe3a640 | [
"MIT"
] | null | null | null | components/Tile.py | jawaff/oecs | 1ebc4ed59ba91866c2abcad3a8b286555fe3a640 | [
"MIT"
] | null | null | null | components/Tile.py | jawaff/oecs | 1ebc4ed59ba91866c2abcad3a8b286555fe3a640 | [
"MIT"
] | null | null | null | from component import Component
class Tile(Component):
"""Denotes a single tile within a chunk."""
def __init__( self, dData ):
Component.__init__(self, "TILE:%s"%(dData['componentID']), False, 0)
#Tells whether or not the tile is visible or not
self._is_Active = False
#Identifies the type of tile that is drawn (denotes tile IDs on the tile_atlas.)
self._tileID = 0
self._isTransparanent = True
def _Get_TileID(self):
return self._tileID
def _Set_TileID(self, iTileID):
self._tileID = iTileID
self._Set_Is_Active()
def _Get_Tile_AtlasID(self):
return self._tile_AtlasID
def _Set_Is_Active( self ):
"""Automatically determines if the tile is active or not depending on the tile's type."""
if self._tileID != 0:
self._is_Active = True
else:
self._is_Active = False
def _Get_Is_Active( self ):
return self._is_Active
def _Get_Is_Transparent(self):
return self._isTransparanent
def __str__( self ):
"""This is the tile's string representation for when it is saved to a file."""
offset = self._tileID%10 #This will get the first digit for our tileID
return str((self._tileID-offset)/10) + str(offset)
| 29.954545 | 97 | 0.639605 | 179 | 1,318 | 4.430168 | 0.357542 | 0.080706 | 0.06053 | 0.042875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00733 | 0.275417 | 1,318 | 43 | 98 | 30.651163 | 0.823037 | 0.276935 | 0 | 0.076923 | 0 | 0 | 0.019251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307692 | false | 0 | 0.038462 | 0.153846 | 0.576923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
45efe88174a72d549e0207e6aa7c603a49c53843 | 886 | py | Python | canaro/__init__.py | MichalPitr/canaro | 7331ff718c6230173e9dac1c57c71b1ad3bd1000 | [
"MIT"
] | 9 | 2020-10-03T06:40:09.000Z | 2022-01-16T23:28:43.000Z | canaro/__init__.py | jasmcaus/caer-models | 5a4d2110491674897c14fd4bddd91f44478b10dc | [
"MIT"
] | null | null | null | canaro/__init__.py | jasmcaus/caer-models | 5a4d2110491674897c14fd4bddd91f44478b10dc | [
"MIT"
] | 2 | 2020-12-21T14:44:23.000Z | 2021-08-24T01:13:41.000Z | # Copyright (c) 2020 Jason Dsouza <jasmcaus@gmail.com>
# Protected under the MIT License (see LICENSE)
from ._meta import version as v
from ._meta import author as a
from ._meta import release as r
from ._meta import contributors as c
__author__ = a
__version__ = v
__contributors__ = c
__license__ = 'MIT License'
__copyright__ = 'Copyright (c) 2020 Jason Dsouza'
version = v
release = r
contributors = c
from .models import *
from .generators import *
from .utils import *
from .model import saveModel
from .model import testModel
from .train import lr_schedule
from .train import train
from .tools import expand
from .tools import random_distortion
from .tools import random_patch
from .tools import random_resize
from .tools import resize_image_fixed
from .tools import resize_image
from .tools import clip_boxes
from .tools import flip_image
from .tools import patch_image | 23.945946 | 54 | 0.788939 | 131 | 886 | 5.076336 | 0.343511 | 0.121805 | 0.203008 | 0.094737 | 0.153383 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010724 | 0.158014 | 886 | 37 | 55 | 23.945946 | 0.880697 | 0.110609 | 0 | 0 | 0 | 0 | 0.053435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.714286 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
45f72f978458220e7e7f5eaf3dfe8e2dd973d1cc | 111 | py | Python | nexus/core/interfaces/runner.py | epicosy/nexus | a6342283592aec4dfe8ff02d47721edde829d38d | [
"MIT"
] | null | null | null | nexus/core/interfaces/runner.py | epicosy/nexus | a6342283592aec4dfe8ff02d47721edde829d38d | [
"MIT"
] | null | null | null | nexus/core/interfaces/runner.py | epicosy/nexus | a6342283592aec4dfe8ff02d47721edde829d38d | [
"MIT"
] | null | null | null | from cement import Interface
class RunnerInterface(Interface):
class Meta:
interface = 'runner'
| 13.875 | 33 | 0.702703 | 11 | 111 | 7.090909 | 0.727273 | 0.358974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.234234 | 111 | 7 | 34 | 15.857143 | 0.917647 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
34057f06828e99a1ea22beebf4036a015bec0c5d | 1,292 | py | Python | resources/dot_PyCharm/system/python_stubs/-762174762/win32uiole.py | basepipe/developer_onboarding | 05b6a776f8974c89517868131b201f11c6c2a5ad | [
"MIT"
] | 1 | 2020-04-20T02:27:20.000Z | 2020-04-20T02:27:20.000Z | resources/dot_PyCharm/system/python_stubs/cache/95df2ee6e9ac0f65d683793bba07f7a965eae0b286181e7fc2ca61d4a8417950/win32uiole.py | basepipe/developer_onboarding | 05b6a776f8974c89517868131b201f11c6c2a5ad | [
"MIT"
] | null | null | null | resources/dot_PyCharm/system/python_stubs/cache/95df2ee6e9ac0f65d683793bba07f7a965eae0b286181e7fc2ca61d4a8417950/win32uiole.py | basepipe/developer_onboarding | 05b6a776f8974c89517868131b201f11c6c2a5ad | [
"MIT"
] | null | null | null | # encoding: utf-8
# module win32uiole
# from C:\Python27\lib\site-packages\Pythonwin\win32uiole.pyd
# by generator 1.147
# no doc
# no imports
# Variables with simple values
COleClientItem_activeState = 3
COleClientItem_activeUIState = 4
COleClientItem_emptyState = 0
COleClientItem_loadedState = 1
COleClientItem_openState = 2
OLE_CHANGED = 0
OLE_CHANGED_ASPECT = 5
OLE_CHANGED_STATE = 4
OLE_CLOSED = 2
OLE_RENAMED = 3
OLE_SAVED = 1
# functions
def AfxOleInit(*args, **kwargs): # real signature unknown
pass
def CreateInsertDialog(*args, **kwargs): # real signature unknown
pass
def CreateOleClientItem(*args, **kwargs): # real signature unknown
pass
def CreateOleDocument(*args, **kwargs): # real signature unknown
pass
def DaoGetEngine(*args, **kwargs): # real signature unknown
pass
def EnableBusyDialog(*args, **kwargs): # real signature unknown
pass
def EnableNotRespondingDialog(*args, **kwargs): # real signature unknown
pass
def GetIDispatchForWindow(*args, **kwargs): # real signature unknown
pass
def OleGetUserCtrl(*args, **kwargs): # real signature unknown
pass
def OleSetUserCtrl(*args, **kwargs): # real signature unknown
pass
def SetMessagePendingDelay(*args, **kwargs): # real signature unknown
pass
# no classes
| 21.180328 | 72 | 0.743808 | 152 | 1,292 | 6.236842 | 0.407895 | 0.116034 | 0.162447 | 0.266878 | 0.42616 | 0.42616 | 0.390295 | 0 | 0 | 0 | 0 | 0.02037 | 0.164087 | 1,292 | 60 | 73 | 21.533333 | 0.857407 | 0.335139 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.333333 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
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