prompt large_stringlengths 72 9.34k | completion large_stringlengths 0 7.61k |
|---|---|
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | bmarks |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | send_css |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | send_js |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | send_img |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | send_font |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | handle404 |
<|file_name|>tastiapp.py<|end_file_name|><｜fim▁begin｜>from bottle import route, template, error, request, static_file, get, post
from index import get_index
from bmarks import get_bmarks
from tags import get_tags
from add import add_tags
from bmarklet import get_bmarklet
from account import get_account
from edit_tags i... | handle500 |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | curr_states[i,j,:,:] = self.experiences[ i + j ][1] |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | def __init__(self):
player.__init__(self)
self.experiences = deque()
# CHOOSE NEXT ACTION
def act(self, state):
return self.calculate(state)
# CALCULATE NETWORK
def calculate(self, state):
size = len( self.experiences )
if size < self.NUM_FRAMES:
... |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | player.__init__(self)
self.experiences = deque() |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | return self.calculate(state) |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | size = len( self.experiences )
if size < self.NUM_FRAMES:
return self.create_random_action()
states = np.zeros( (self.NUM_FRAMES , self.obsv_shape[0], self.obsv_shape[1] ) )
for i , j in enumerate( range( size - self.NUM_FRAMES , size ) ):
states[i] = self.exp... |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | self.brain.addInput( shape = [ None , self.num_actions ] , name = 'Actions' )
self.brain.addInput( shape = [ None ] , name = 'Target' )
# Operations
self.brain.addOperation( function = tb.ops.pgcost,
input = [ 'Output', 'Actions'... |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | self.experiences.append((prev_state, curr_state, actn, rewd, done))
batchsize = len( self.experiences ) - self.NUM_FRAMES + 1
# Check for Train
if done:
# Select Batch
batch = self.experiences
# Separate Batch Data
prev_states = np.z... |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | return self.create_random_action() |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | batch = self.experiences
# Separate Batch Data
prev_states = np.zeros( ( batchsize , self.NUM_FRAMES , self.obsv_shape[0], self.obsv_shape[1] ) )
curr_states = np.zeros( ( batchsize , self.NUM_FRAMES , self.obsv_shape[0], self.obsv_shape[1] ) )
actions =... |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | running_add = 0 |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | __init__ |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | act |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | calculate |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | operations |
<|file_name|>player_reinforce_rnn_2.py<|end_file_name|><｜fim▁begin｜>from players.player import player
from auxiliar.aux_plot import *
import random
from collections import deque
import sys
sys.path.append('..')
import tensorblock as tb
import numpy as np
import tensorflow as tf
# PLAYER REINFORCE RNN
class player_... | train |
<|file_name|>net.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Flight Lab authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Un... | import socket
def get_ip(): |
<|file_name|>net.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Flight Lab authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Un... | """Get primary IP (the one with a default route) of local machine.
This works on both Linux and Windows platforms, and doesn't require working
internet connection.
"""
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
try:
# doesn't even have to be reachable
s.connect(('10.255.255.255', 1))
... |
<|file_name|>net.py<|end_file_name|><｜fim▁begin｜># Copyright 2018 Flight Lab authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Un... | get_ip |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.<｜fim▁hole｜>#
# Unless required by applicable law or agreed to in writing, software
# d... | # You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0 |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | project_ids = {c.project_id for c in gke.get_clusters(context).values()}
for pid in project_ids:
iam.get_project_policy(pid) |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | clusters = gke.get_clusters(context)
iam_policy = iam.get_project_policy(context.project_id)
if not clusters:
report.add_skipped(None, 'no clusters found')
for _, c in sorted(clusters.items()):
if not c.has_logging_enabled():
report.add_skipped(c, 'logging disabled')
else:
# Verify servi... |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | report.add_skipped(None, 'no clusters found') |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | report.add_skipped(c, 'logging disabled') |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | for np in c.nodepools:
sa = np.service_account
if not iam.is_service_account_enabled(sa, context.project_id):
report.add_failed(np, f'service account disabled or deleted: {sa}')
elif not iam_policy.has_role_permissions(f'serviceAccount:{sa}', ROLE):
report.add_failed(np... |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | report.add_failed(np, f'service account disabled or deleted: {sa}') |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | report.add_failed(np, f'service account: {sa}\nmissing role: {ROLE}') |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | report.add_ok(np) |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | prefetch_rule |
<|file_name|>err_2021_001_logging_perm.py<|end_file_name|><｜fim▁begin｜># Copyright 2021 Google LLC
#
# 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/LICE... | run_rule |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
"""
Tests for the realizer with arbitrary reordering
enabled.
"""
def test_realize_output_in_order(self):
"""
... | expected = "word2 word1 and word3 " |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
<|fim_middle|>
if __name__ == '__main__':
unittest.main()
<｜fim▁end｜> | """
Tests for the realizer with arbitrary reordering
enabled.
"""
def test_realize_output_in_order(self):
"""
Test for when source tokens occur
in the same relative order in the
target string
"""
editing_task = tagging.EditingTask(... |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
"""
Tests for the realizer with arbitrary reordering
enabled.
"""
def test_realize_output_in_order(self):
<|fim_m... | """
Test for when source tokens occur
in the same relative order in the
target string
"""
editing_task = tagging.EditingTask(["word1 word2 <::::> word3 "])
tags_str = ['KEEP|0', 'KEEP|1', 'KEEP|and', 'DELETE', 'KEEP|3']
tags = [tagging.Tag(ta... |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
"""
Tests for the realizer with arbitrary reordering
enabled.
"""
def test_realize_output_in_order(self):
"""
... | """
Test for when the source tokens
do not occur in the same relative order
in the target string
"""
editing_task = tagging.EditingTask(["word1 word2 <::::> word3 "])
tags_str = ['KEEP|1', 'KEEP|0', 'KEEP|and', 'DELETE', 'KEEP|3']
tags = [tagg... |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
"""
Tests for the realizer with arbitrary reordering
enabled.
"""
def test_realize_output_in_order(self):
"""
... | unittest.main() |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
"""
Tests for the realizer with arbitrary reordering
enabled.
"""
def <|fim_middle|>(self):
"""
Test ... | test_realize_output_in_order |
<|file_name|>test_realizer_arbitrary_reordering.py<|end_file_name|><｜fim▁begin｜>import unittest
import tagging
class TestRealizerArbitraryReordering(unittest.TestCase):
"""
Tests for the realizer with arbitrary reordering
enabled.
"""
def test_realize_output_in_order(self):
"""
... | test_realize_output_out_of_order |
<|file_name|>resources.py<|end_file_name|><｜fim▁begin｜># 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 ... | ROUTER_CONTROLLER = 'router_controller' |
<|file_name|>fetch.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2017, Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# This is a virtual module that is entirely implemented as an action plugin and runs on the c... | C(fail_when) or C(ignore_errors) to get this ability. They may |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜>from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, ValidationError, RadioField,\
BooleanField, SubmitField, IntegerField, FormField, valida... | from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | country_code = IntegerField('Country Code', [validators.required()])
area_code = IntegerField('Area Code/Exchange', [validators.required()])
number = TextField('Number') |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | field1 = TextField('First Field', description='This is field one.')
field2 = TextField('Second Field', description='This is field two.',
validators=[Required()])
hidden_field = HiddenField('You cannot see this', description='Nope')
recaptcha = RecaptchaField('A sample recaptcha fi... |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | raise ValidationError('Always wrong') |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | app = Flask(__name__)
AppConfig(app, configfile) # Flask-Appconfig is not necessary, but
# highly recommend =)
# https://github.com/mbr/flask-appconfig
Material_Lite(app)
# in a real app, these should be configured through Flask-Appconfig... |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | form = ExampleForm()
form.validate_on_submit() # to get error messages to the browser
flash('critical message', 'critical')
flash('error message', 'error')
flash('warning message', 'warning')
flash('info message', 'info')
flash('debug message', 'debug')
f... |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | create_app().run(debug=True) |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | validate_hidden_field |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | create_app |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜>from flask import Flask, render_template, flash
from flask_material_lite import Material_Lite
from flask_appconfig import AppConfig
from flask_wtf import Form, RecaptchaField
from flask_wtf.file import FileField
from wtforms import TextField, HiddenField, Validation... | index |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
<｜fim▁hole｜>
Parameters
----------
... |
class FMRecommender(FactorizationMachine):
""" Factorization Machine Recommender with pairwise (BPR) loss solver. |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | """ Factorization Machine Recommender with pairwise (BPR) loss solver.
Parameters
----------
n_iter : int, optional
The number of interations of individual samples .
init_stdev: float, optional
Sets the stdev for the initialization of the parameter
random_state: int, optional
... |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | super(FMRecommender, self).\
__init__(n_iter=n_iter, init_stdev=init_stdev, rank=rank,
random_state=random_state)
if (l2_reg != 0):
self.l2_reg_V = l2_reg
self.l2_reg_w = l2_reg
else:
self.l2_reg_w = l2_reg_w
self.l... |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | """ Fit model with specified loss.
Parameters
----------
X : scipy.sparse.csc_matrix, (n_samples, n_features)
y : float | ndarray, shape = (n_compares, 2)
Each row `i` defines a pair of samples such that
the first returns a high value then the se... |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | self.l2_reg_V = l2_reg
self.l2_reg_w = l2_reg |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | self.l2_reg_w = l2_reg_w
self.l2_reg_V = l2_reg_V |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | __init__ |
<|file_name|>bpr.py<|end_file_name|><｜fim▁begin｜># Author: Immanuel Bayer
# License: BSD 3 clause
import ffm
import numpy as np
from .base import FactorizationMachine
from sklearn.utils.testing import assert_array_equal
from .validation import check_array, assert_all_finite
class FMRecommender(FactorizationMachine):... | fit |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | print 'class', m[0].lower(), '(Mineral):'
print ' def __init__(self):'
print ''.join([' formula=\'',m[1],'\''])
print ' formula = dictionarize_formula(formula)' |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | f=open(datafile,'r')
ds=[]
for line in f:
ds.append(line.decode('utf-8').split())
return ds |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | param_names=m |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | print 'class', m[0].lower(), '(Mineral):'
print ' def __init__(self):'
print ''.join([' formula=\'',m[1],'\''])
print ' formula = dictionarize_formula(formula)'
print ' self.params = {'
print ''.join([' \'name\': \'', m[0], '\','])
... |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | print ' \''+param_names[pid]+'\':', float(param)*param_scales[pid], ',' |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | print ' \''+param_names[pid]+'\':', float(param)*param_scales[pid], ',' |
<|file_name|>HHPH2013data_to_burnman.py<|end_file_name|><｜fim▁begin｜># BurnMan - a lower mantle toolkit
# Copyright (C) 2012-2014, Myhill, R., Heister, T., Unterborn, C., Rose, I. and Cottaar, S.
# Released under GPL v2 or later.
# This is a standalone program that converts a tabulated version of the Stixrude and Lith... | read_dataset |
<|file_name|>re.4.py<|end_file_name|><｜fim▁begin｜>import re<｜fim▁hole｜>p = re.compile(r'(\w+) (\w+)(?P<sign>.*)', re.DOTALL)
print re.DOTALL
print "p.pattern:", p.pattern
print "p.flags:", p.flags
print "p.groups:", p.groups
print "p.groupindex:", p.groupindex<｜fim▁end｜> | |
<|file_name|>urls.py<|end_file_name|><｜fim▁begin｜>"""redblue_project URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to u... | 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home')
Including another URLconf |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | x, labels_x = self.augment(xt_in, tf.one_hot(l_in, self.nclass), **kwargs)
logits_x = get_logits(x) |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | def augment(self, x, l, beta, **kwargs):
del kwargs
mix = tf.distributions.Beta(beta, beta).sample([tf.shape(x)[0], 1, 1, 1])
mix = tf.maximum(mix, 1 - mix)
xmix = x * mix + x[::-1] * (1 - mix)
lmix = l * mix[:, :, 0, 0] + l[::-1] * (1 - mix[:, :, 0, 0])
return xmix, ... |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | del kwargs
mix = tf.distributions.Beta(beta, beta).sample([tf.shape(x)[0], 1, 1, 1])
mix = tf.maximum(mix, 1 - mix)
xmix = x * mix + x[::-1] * (1 - mix)
lmix = l * mix[:, :, 0, 0] + l[::-1] * (1 - mix[:, :, 0, 0])
return xmix, lmix |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | hwc = [self.dataset.height, self.dataset.width, self.dataset.colors]
xt_in = tf.placeholder(tf.float32, [batch] + hwc, 'xt') # For training
x_in = tf.placeholder(tf.float32, [None] + hwc, 'x')
y_in = tf.placeholder(tf.float32, [batch] + hwc, 'y')
l_in = tf.placeholder(tf.int32, ... |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | logits = classifier(x, training=True)
return logits |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | utils.setup_main()
del argv # Unused.
dataset = data.DATASETS()[FLAGS.dataset]()
log_width = utils.ilog2(dataset.width)
model = Mixup(
os.path.join(FLAGS.train_dir, dataset.name),
dataset,
lr=FLAGS.lr,
wd=FLAGS.wd,
arch=FLAGS.arch,
batch=FLAGS.batch,
... |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | utils.setup_tf()
flags.DEFINE_float('wd', 0.02, 'Weight decay.')
flags.DEFINE_float('ema', 0.999, 'Exponential moving average of params.')
flags.DEFINE_float('beta', 0.5, 'Mixup beta distribution.')
flags.DEFINE_integer('scales', 0, 'Number of 2x2 downscalings in the classifier.')
flags.DEFINE_i... |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | augment |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | model |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | get_logits |
<|file_name|>mixup.py<|end_file_name|><｜fim▁begin｜># Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | main |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | def cn(self): return self._cn |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | def __init__(self, dn):
self._dn = dn.replace(',dn', '')
self._cn = []
self._displayName = []
self._givenName = []
self._homePhone = []
self._homePostalAddress = []
self._mail = []
self._mobile = []
self._o = []
self._objectClass = []
self._sn = []
self._telephoneNumber... |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | self._dn = dn.replace(',dn', '')
self._cn = []
self._displayName = []
self._givenName = []
self._homePhone = []
self._homePostalAddress = []
self._mail = []
self._mobile = []
self._o = []
self._objectClass = []
self._sn = []
self._telephoneNumber = []
self._title = [] |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | return self._dn |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | return self._cn |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | self._cn.append(v) |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | return self._displayName |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | self._displayName.append(v) |
<|file_name|>dn.py<|end_file_name|><｜fim▁begin｜>#
# Copyright 2015 Fasih
#
# 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 ... | return self._givenName |
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